Including an exposure to disease, a diagnostic test, a prognostic factor, a treatment, a patient perception, a risk factor, etc.
Is there an alternative treatment to compare?
Including no disease, placebo, a different prognostic factor, absence of risk factor, etc.
What is the clinical outcome, including a time horizon if relevant?
Fill in the blanks with information from your clinical scenario: THERAPY In_______________, what is the effect of ________________on _______________ compared with _________________?
PREVENTION For ___________ does the use of _________________ reduce the future risk of ____________ compared with ______________? DIAGNOSIS OR DIAGNOSTIC TEST Are (Is) ________________ more accurate in diagnosing _______________ compared with ____________? PROGNOSIS Does ____________ influence ______________ in patients who have _____________? ETIOLOGY Are ______________ who have _______________ at ______________ risk for/of ____________ compared with _____________ with/without______________? MEANING How do _______________ diagnosed with _______________ perceive __________________? Melnyk, B. M., & Fineout-Overholt, E. (2011). Evidence-based practice in nursing & healthcare: A guide to best practice . Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins.
The PICOT question format is a consistent "formula" for developing answerable, researchable questions.
Note: Not every question will have an intervention (as in a meaning question) or time (when it is implied in another part of the question) component.
Template for Asking PICOT Questions
For an intervention/therapy:
In _______(P), what is the effect of _______(I) on ______(O) compared with _______(C) within ________ (T)?
For etiology:
Are ____ (P) who have _______ (I) at ___ (Increased/decreased) risk for/of_______ (O) compared with ______ (P) with/without ______ (C) over _____ (T)?
Diagnosis or diagnostic test:
Are (is) _________ (I) more accurate in diagnosing ________ (P) compared with ______ (C) for _______ (O)?
Prevention:
For ________ (P) does the use of ______ (I) reduce the future risk of ________ (O) compared with _________ (C)?
Prognosis/Predictions
Does __________ (I) influence ________ (O) in patients who have _______ (P) over ______ (T)?
How do ________ (P) diagnosed with _______ (I) perceive ______ (O) during _____ (T)?
Melnyk B., & Fineout-Overholt E. (2010). Evidence-based practice in nursing & healthcare. New York: Lippincott Williams & Wilkins.
The PICO(T) Question
A clinical question that is composed using the PICO or PICOT format will help you to focus your search and help you to develop your research skills which are essential in finding the best available evidence.
The most common PICO(T) elements are:
P - Population
I - Intervention
C - Comparison (if applicable)
O - Outcome
(T) - Time (if applicable)
In order be successful in using Evidence Based Practice (EBP) you will need to learn how to develop well-composed clinical questions. By formatting your research question in a PICO(T) format you can gather evidence relevant to your patient's problem. Well-composed PICO(T) questions generally contain up to four components each represented in the acronym " PICO(T)" P=Patient or Population and Problem; I=Intervention or Indicator; C=Comparison or Control (not part of all questions); O=Outcome; T=Time or Type.
Use the PICOT format to break down your question into smaller parts and identify keywords:
atient / opulation | ntervention / ndicator | ompare / ontrol | utcome | ime / ype of Study or Question |
Who are the relevant patients? Think about age, sex, geographic location, or specific characteristics that would be important to your question. | What is the management strategy, diagnostic test, or exposure that you are interested in? | Is there a control or alternative management strategy you would like to compare to the intervention or indicator? | What are the patient-relevant consequences of the intervention? | What time periods should be considered? What study types are most likely to have the information you seek? What clinical domain does your question fall under? |
It can be helpful to classify your question based on the clinical domain(s) it falls under.
See below for definitions, PICO templates, and example questions from the primary clinical domains: intervention , diagnosis , etiology , prevention , prognosis/prediction , quality of life/meaning , and therapy .
Questions addressing the treatment of an illness or disability.
In _________ (P), how does _________ (I) compared to _________(C) affect _______(O) within _______ (T)? In _______(P), what is the effect of _______(I) on ______(O) compared with _______(C) within ________ (T)?
Questions addressing the act or process of identifying or determining the nature and cause of a disease or injury through evaluation.
Are (is) _________ (I) more accurate in diagnosing ________ (P) compared with ______ (C) for _______ (O)? In ________ (P) are/is ________(I) compared with ________(C) more accurate in diagnosing ________(O)?
Questions addressing the causes or origin of disease, the factors that produce or predispose toward a certain disease or disorder.
Are ____ (P) who have _______ (I) at ___ (Increased/decreased) risk for/of_______ (O) compared with ______ (P) with/without ______ (C) over _____ (T)?
Are ______(P) who have ______(I) compared with those without _______(C) at ________ risk for/of _______ (O) over ________(T)?
Questions on how to reduce the chance of disease by identifying and modifying risk factors and how to diagnose disease early by screening.
For ________ (P) does the use of ______ (I) reduce the future risk of ________ (O) compared with _________ (C)?
Questions addressing the prediction of the course of a disease.
Does __________ (I) influence ________ (O) in patients who have _______ (P) over ______ (T)? In _______ (P), how does ________ (I) compared to ________ (C) influence _________ (O) over _________ (T)?
Questions addressing how one experiences a phenomenon.
How do ________ (P) diagnosed with _______ (I) perceive ______ (O) during _____ (T)?
Questions around how to select treatments to offer our patients that do more good than harm and that are worth the efforts and costs of using them.
In _______(P), what is the effect of _______(I) on ______(O) compared with _______(C) within ________ (T)?
Source1 Source2 Source3
Click "Next" below to start your research.
EBP Learning Module
Formulating a question using pico.
Often our need for information is not formulated as a question to begin with - but if you don't ask a question, it is probably fair to say you will not get an answer! Asking the right question is an important start to finding the information needed to inform clinical practice.
Structuring the question is the first step. Vague, broad, poorly framed questions will most likely result in lost time and an inability to locate useful evidence. In comparison, asking a specific and focused question enables the development of relevant keywords and an effective search strategy.
Most questions can be broken down into three or four components that describe the population, the intervention or treatment (and sometimes an alternative treatment), and the outcome you want to investigate. This is known as the PICO method, and it is widely used by health researchers, healthcare professionals, and related collaborations such as those in The Cochrane Library, to construct searchable questions that give relevant and precise results.
The table below shows how the PICO method is used.
Population or problem | Describe the patient or the relevant group of people |
---|---|
Intervention or treatment | Identify the intervention such as a test, drug, or factor that might affect a health outcome |
Comparison | Identify an alternative strategy if you want to compare one intervention to another |
Outcome | State the clinical outcome - usually what you and the patient are most concerned about |
The acronym is sometimes given as PICOT where T stands for time, type of study, or test; or PECOT where E stands for the exposure group, C for the control group and T for time, type of study, or test.
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In Evidence-based Nursing, PICO (sometimes styled PICOT) formatted questions assist nurses in developing effective and efficient search parameters that produce high quality, specific, and evidence-based results.
PICO(T) stands for:
The following resources explain the PICO Process and guide in precise formulation of PICO questions.
A PICO question is used to perform effective and efficient searches of nursing literature to make evidence-based clinical decisions. The following videos provide guidelines on developing a PICO question and using the PICO question to search the CINAHL and MEDLINE databases.
University of Kansas Medical Center
Nursing research guide.
Example Sources:
PICO is a formula used to develop a researchable clinical question.
The purpose of a PICO question is to help breakdown a research question into smaller parts, making the evaluation of evidence more straightforward.
P: Population, patient, or problem
I: Intervention or indicator
C: Comparison or control
O: Outcome
Note: Not every question will have a time frame or a comparison. Outcomes should be a measure of clinical well-being/quality of life.
P: Population, patient, or problem
Who is the patient or population? (Think demographics: age, sex, gender, race).
What problem or disease or situation are you facing?
I: Intervention or indicator
What do you plan to do for your patient? (medications, diagnostic tests, therapies, procedures)
What intervention is implemented to help make a difference to your patient/population?
C: Comparison or control
What other interventions should be considered? What can we compare our research too?
Is there a control group you would like to compare your intervention with?
O: Outcome
What is the desired or effective outcome of the intervention compared to the control?
Case: patient education.
Your full PICO question is:
"Among hospitalized chronic smokers, does a brief educational nursing intervention lead to long term smoking cessation [when compared with no intervention]?"
Patients on coronary artery bypass graft (CABG) waiting lists often experience anxiety and depression and your nurse manager wants to know if it would be a good idea to reach out to these patients with presurgical home visits and follow-up calls from a specialist cardiac nurse.
P: patients on CABG waiting lists I: program consisting of presurgical home visit and follow-up calls form a specialist cardiac nurse C: no intervention O: decreased patient anxiety and depression
For patients on CABG waiting lists, does an intervention program consisting of presurgical home visits and follow-up calls from a specialist cardiac nurse lead to decreased patient anxiety and depression [when compared with no intervention]?
You work in the Big City Hospital ICU. Your mechanically ventilated patients sometimes contract nosocomial pneumonia, which leads to costly complications. You want to know if raising the head of the bed lowers the chance of the patient contracting pneumonia compared to letting the patient lie flat on their back.
P: mechanically ventilated ICU patients I: semi-fowlers position C: supine position O: lower incidence of nosocomial pneumonia In mechanically ventilated ICU patients, does positioning the patient in semi-fowlers result in a lower incidence of nosocomial pneumonia when compared to the supine position?
In the past few years, your hospital has installed antibacterial foam dispensers on all the nursing units. You’ve had nurses asking you if the foam is just as effective as washing their hands with water and soap.
P: hospital nurses I: using antibacterial foam C: hand washing with soap and water O: decreased bacteria count In hospital nurses, does antibacterial foam decrease bacteria count on hands as much as hand washing with soap and water?
You’re a new nurse on a labor and delivery unit. You’ve noticed that most women give birth in the lithotomy position at the encouragement of their doctors. However, you’re sure you heard in nursing school that other positions are less likely to lead to deliveries with forceps or a vacuum...or did you? You want to find some literature to back up your claim.
P: laboring women delivering in a hospital I: positions other than the lithotomy position C: lithotomy position O: decreased incidence of assisted deliveries In laboring women delivering in the hospital, do positions other than lithotomy position lead to a decreased incidence of assisted deliveries?
You’re the nurse manager of a NICU unit. One concern of parents of infants receiving tube feedings is being able to successfully breastfeed their child upon discharge. One of your staff nurses asks if it would be helpful to give the infants cup feedings instead of tube feedings during their NICU stay.
P: Infants in the NICU I: cup feeding throughout the hospital stay C: tube feedings throughout the hospital stay O: greater reported success with breastfeeding post-discharge In infants in the NICU, will cup feeding throughout the hospital stay lead to greater success with breastfeeding post-discharge when compared to tube feedings?
You work with patients with advanced cancer and have been taught to suggest pain diaries for your patients as a form of pain management. You’ve been wondering for a while now if these diaries actually improve pain control or make pain worse by making patients more aware of their pain.
P: patients with advanced cancer I: keeping a pain journal C: no intervention O: lower reported pain scores In patients with advanced cancer, does keeping a pain journal result in lower reported pain scores when compared to no intervention?
You work in a pediatrician’s office and give patients their routine vaccinations. The younger children are often fearful of needles, and some of the RNs use toys to distract the patients. You want to know if this technique actually has an effect on the children's pain response.
P: young children I: distraction techniques during immunization C: no intervention O: lower pain scores rated by the Faces pain scale In young children, do distraction techniques during immunization administration using toys result in lower pain scores when compared to no intervention?
You work on an inpatient psychiatric unit. One of your patients with chronic schizophrenia, Joe, normally mumbles to himself, but will occasionally speak to others when residents play games together. Noticing this, you say to a coworker that maybe social skills group training sessions would bring out Joe’s conversational skills. Your coworker shakes her head and says "I don’t think so. Joe is in and out of this hospital, he’s a lost cause."
P: Inpatient chronic schizophrenia patients I: social skills group training sessions C: standard care O: increased conversational skills as evidenced by greater number of interactions with peers In inpatient chronic schizophrenia patients, do social skills group training sessions increase conversational skills when compared to standard care?
A diabetic patient from a nursing home has recently been admitted with a stage III pressure ulcers on his heels. The unit nurses have called you in for a wound consult. You have to choose between standard moist wound therapy and using a wound vac.
P: elderly diabetic with stage III foot ulcers I: negative pressure wound therapy C: standard moist wound therapy O: improved wound healing as measured by pressure ulcer grading system guidelines In elderly diabetic patients with stage III foot ulcers, does negative pressure wound therapy lead to improved wound healing when compared to standard moist wound therapy?
The main concern for most of your patients coming out of anesthesia in your PACU is pain. You want to explore nursing interventions you can use on top of medication administration to decrease pain. One coworker mentions trying to make the PACU feel less clinical by playing soft music to relax patients.
P: PACU patients I: soft music as an adjunct to standard care C: standard care alone O: lower reported pain scores In PACU patients, will playing soft music in the PACU as an adjunct to standard care result in lower reported pain scores when compared to standard care alone?
For an intervention/therapy:
In _______(P), what is the effect of _______(I) on ______(O) compared with _______(C) within ________ (T)?
For etiology:
Are ____ (P) who have _______ (I) at ___ (increased/decreased) risk for/of_______ (O) compared with ______ (P) with/without ______ (C) over _____ (T)?
Diagnosis or diagnostic test:
Are (is) _________ (I) more accurate in diagnosing ________ (P) compared with ______ (C) for _______ (O)?
Prevention:
For ________ (P) does the use of ______ (I) reduce the future risk of ________ (O) compared with _________ (C)?
Prognosis/Predictions
Does __________ (I) influence ________ (O) in patients who have _______ (P) over ______ (T)?
How do ________ (P) diagnosed with _______ (I) perceive ______ (O) during _____ (T)?
Based on Melnyk B., & Fineout-Overholt E. (2010). Evidence-based practice in nursing & healthcare. New York: Lippincott Williams & Wilkins .
PICO (alternately known as PICOT ) is a mnemonic used to describe the four elements of a good clinical question. It stands for:
P --Patient/Problem I --Intervention C --Comparison O --Outcome
Many people find that it helps them clarify their question, which in turn makes it easier to find an answer.
Use PICO to generate terms - these you'll use in your literature search for the current best evidence. Once you have your PICO terms, you can then use them to re-write your question. (Note, you can do this in reverse order if that works for you.)
Often we start with a vague question such as, "How effective is CPR, really?" But, what do we mean by CPR? And how do we define effective? PICO is a technique to help us - or force us - to answer these questions. Note that you may not end up with a description for each element of PICO.
P - our question above doesn't address a specific problem other than the assumption of a person who is not breathing. So, ask yourself questions such as, am I interested in a specific age cohort? (Adults, children, aged); a specific population (hospitalized, community dwelling); health cohort (healthy, diabetic, etc.)
I - our question above doesn't have a stated intervention, but we might have one in mind such as 'hands-only'
C - Is there another method of CPR that we want to compare the hands-only to? Many research studies do not go head to head with a comparison. In this example we might want to compare to the standard, hands plus breathing
O - Again, we need to ask, what do we mean by 'effective'? Mortality is one option with the benefit that it's easily measured.
Our PICO statement would look like:
From our PICO, we can write up a clearer and more specific question, such as:
In community dwelling adults, how effective is hands-only CPR versus hands plus breathing CPR at preventing mortality?
More information on formulating PICO questions
Now that we've clarified what we want to know, it will be much easier to find an answer.
We can use our PICO statement to list terms to search on. Under each letter, we'll list all the possible terms we might use in our search.
P - Community Dwelling: It is much easier to search on 'hospitalized' than non-hospitalized subjects. So I would leave these terms for last. It might turn out that I don't need to use them as my other terms from the I, C, or O of PICO might be enough.
community dwelling OR out-of-hospital
P - adults: I would use the limits in MEDLINE or CINAHL for All Adults. Could also consider the following depending upon the population you need:
adult OR adults OR aged OR elderly OR young adult
CPR - cardiopulmonary resuscitation
I - Hands-only
hands-only OR compression-only OR chest compression OR compression OR Heart Massage
C - Hands plus breathing Breathing is a tougher term to match.
breathing OR mouth to mouth OR conventional OR traditional
O - Mortality: If your outcomes terms are general, they may not as useful in the literature search. They will still be useful in your evaluation of the studies.
mortality OR death OR Survival
Putting it together - a search statement from the above might look like this:
cardiopulmonary resuscitation AND (hands-only OR compression-only OR chest compression OR compression OR Heart Massage) AND (breathing OR mouth to mouth OR conventional OR traditional)
Note that the above strategy is only using terms from the I and the C of PICO. Depending upon the results, you may need to narrow your search by adding in terms from the P or the O.
An easy way to keep track of your search strategy is to use a table. This keeps the different parts of your PICO question and their various keywords and subject terms together. This document shows you how to use the tables and provides a few options to organize your table. Use whichever works best for you! Search Strategy Tables to Break your PICO into Concepts .
A qualitative PICO question focuses on in-depth perspectives and experiences. It does not try to solve a problem by analyzing numbers, but rather to enrich understanding through words. Therefore, the emphasis in qualitative PICO questions is on fully representing the information gathered, rather than primarily emphasizing ways the information can be broken down and expressed through measurable units (though measurability can also play an important role).
A strength of a qualitative PICO question is that it can investigate what patient satisfaction looks like, for example, instead of only reporting that 25% of patients who took a survey reported that they are satisfied.
When working with qualitative questions, an alternative to using PICO in searching for sources is the SPIDER search tool. SPIDER is an acronym that breaks down like this:
P=Phenomena of Interest
E=Evaluation
R=Research Type
Cooke, A., Smith, D., & Booth, A. (2012). Beyond PICO: The SPIDER tool for qualitative evidence synthesis . Qualitative Health Research, 22 (10), 1435-1443. doi:10.1177/1049732312452938
Provides comprehensive syntheses of evidence along with point of care recommendations including current drug information, medical calculators, and patient education handouts.
One way of focusing your question is by using the PICO format (you may also see PICO(T) or PICOTT). PICO includes several factors that, when searched together, comprise a well-built clinical question. It includes:
You can clarify your intended results at the outset with additional, optional factors:
Take the following sample question:
In adult patients with Cardiovascular Disease (CVD), does the consumption of plant-based saturated fats when compared to a monounsaturated fat result in a more improved CVD risk metabolic profile?
This example covers all elements of PICO, and provides us four distinct elements to convert into search terms:
In the next section, "Levels of Evidence," you'll learn more about identifying the best possible evidence and the different types of clinical questions.
Use the following resources to help you structure your own PICO, which you can use to find information on your topic or clinical question.
You can also have a try at searching using the PICO framework using the database widget below.
This widget allows you to quickly search using the PICO structure for clinical questions. To find out more about PICO visit our guide.
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Associated data.
This review aimed to determine if the use of the patient, intervention, comparison, outcome (PICO) model as a search strategy tool affects the quality of a literature search.
A comprehensive literature search was conducted in PubMed, Embase, CINAHL, PsycINFO, Cochrane Library, Web of Science, Library and Information Science Abstracts (LISA), Scopus, and the National Library of Medicine (NLM) catalog up until January 9, 2017. Reference lists were scrutinized, and citation searches were performed on the included studies. The primary outcome was the quality of literature searches and the secondary outcome was time spent on the literature search when the PICO model was used as a search strategy tool, compared to the use of another conceptualizing tool or unguided searching.
A total of 2,163 records were identified, and after removal of duplicates and initial screening, 22 full-text articles were assessed. Of these, 19 studies were excluded and 3 studies were included, data were extracted, risk of bias was assessed, and a qualitative analysis was conducted. The included studies compared PICO to the PIC truncation or links to related articles in PubMed, PICOS, and sample, phenomenon of interest, design, evaluation, research type (SPIDER). One study compared PICO to unguided searching. Due to differences in intervention, no quantitative analysis was performed.
Only few studies exist that assess the effect of the PICO model vis-a-vis other available models or even vis-a-vis the use of no model. Before implications for current practice can be drawn, well-designed studies are needed to evaluate the role of the tool used to devise a search strategy.
The development of systematic reviews is considered a means of enabling clinicians to use evidence-based medicine (EBM) [ 1 ], and the number of systematic reviews is growing quickly [ 2 ]. As literature searching forms the underlying basis of systematic reviews, the quality of the literature search is crucially important to the overall quality of the systematic review [ 3 ]. Although new techniques can automate the process of systematic reviews, such as using text mining to develop search strategies [ 4 ], the task of devising the search strategy still requires intellectual contributions from reviewers. In particular, as the search strategy builds upon the review question, formulating the review question is critical to developing the search strategy.
In their 1992 publication in the Journal of the American Medical Association, the Evidence-Based Medicine Working Group emphasized the precise definition of the patient problem, the required information needed to resolve the problem, and the ability to conduct an efficient search as the skills required for practicing EBM [ 5 ]. In addition to these skills, the use of conceptualizing models to structure a clinical question was introduced in 1995, when Richardson et al. proposed the use of a four-part model to facilitate searching for a precise answer [ 6 ]. They stated that a clinical question must be focused and well articulated for all four parts of its “anatomy”: the patient or problem (P); the intervention or exposure (I); the comparison intervention or exposure (C), if relevant; and the clinical outcome of interest (O).
Despite the existence of other models—such as sample, phenomenon of interest, design, evaluation, research type (SPIDER) [ 7 ] and setting, perspective, intervention, comparison, evaluation (SPICE) [ 8 ]—the PICO model is by far the most widely used model for formulating clinical questions. The purpose of using PICO is considered to be three-fold [ 9 ]. First, it forces the questioner to focus on what the patient or client believes to be the single most important issue and outcome. Second, it facilitates the next step in the process—the computerized search—by prompting the questioner to select language or key terms to be used in the search. Third, it directs the questioner to clearly identify the problem, intervention, and outcomes related to specific care provided to a patient.
The PICO model is also frequently used as a tool for structuring clinical research questions in connection with evidence syntheses (e.g., systematic reviews). The Cochrane Handbook for Systematic Reviews of Interventions specifies using PICO as a model for developing a review question, thus ensuring that the relevant components of the question are well defined [ 10 ]. The PICO framework is primarily centered on therapy questions, and although it can be adapted to formulate research questions related to prognosis or diagnosis, it is less suitable for other types of clinical information needs [ 11 ].
In addition to acting as a conceptualizing tool for asking clinical and research questions, the PICO model can be used as a tool for developing search strategies. According to Considine et al., “the PICO Framework should also be used to develop the search terms that are informed by the PICO question, Medical Subject Headings (MeSH) and any other terms deemed to be relevant” [ 12 ]. For a default search, the Cochrane Handbook suggests employing only search terms for patients, the intervention, and the study type [ 13 ], thus reducing the PICO model to P, I, and S/T (i.e., study type or types of study). Alternatively, instead of study type or types of study, the truncated PIC approach emphasizes the comparison intervention or exposure.
Although conceptualizing models are widely used by information specialists, little is known about the impact of using them as tools for developing search strategies. Therefore, the aim of this systematic review was to determine whether the use of the PICO model as a search strategy tool improves the quality of literature searches.
This systematic review was conducted and reported according to quality standards described in the AMSTAR measurement tool [ 14 ] and the PRISMA 2009 checklist [ 15 ]. Two reviewers independently carried out study selection, evaluation, and data extraction. We resolved discrepancies in our reviews by consensus. Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia) was used to screen, select, and extract data from included studies. The review protocol was registered in the PROSPERO database (CRD42017055217).
We searched PubMed ( Table 1 ), Embase, CINAHL, PsycINFO, the Cochrane Library, Web of Science, Library and Information Science Abstracts (LISA), Scopus, and the National Library of Medicine catalog on January 9, 2017. After testing and validating our PubMed search strategy using the capture-recapture technique as well as evaluating retrieval of known items [ 16 ], we translated the search strategy for use in other databases, adjusting the controlled vocabulary as applicable ( supplementary Appendix A ). We also examined reference lists and performed citation searching (Web of Science, v.5.23.2, up to February 1, 2017) of included studies to identify other potentially relevant studies.
PubMed search strategy
Search strategy | |
---|---|
#1 | “databases, bibliographic”[MeSH Terms] OR “Computer Literacy” [MeSH] OR “Data mining” [MeSH] OR “Evidence Based Dentistry” [MeSH] OR “Evidence-Based Emergency Medicine” [MeSH] OR “Evidence-based Medicine” [MeSH] OR “Evidence-based Nursing” [MeSH] OR “Evidence Based Practice” [MeSH] OR “Health literacy” [MeSH] OR “Information literacy” [MeSH] OR “literature based discovery” [MeSH] OR “information seeking behavior” [MeSH] “information storage and retrieval” [MeSH] OR “data mining” [MeSH] OR Bibliographic database search [All Fields] OR Bibliographic database searches [All Fields] OR Bibliographic database searching [All Fields] OR Bibliographic databases search [All Fields] OR Bibliographic databases searches [All Fields] OR Bibliographic databases searching [All Fields] OR Computer literacies [All Fields] OR Computer Literacy [All Fields] OR Computerized Literature Searching [All Fields] OR Data file [All Fields] OR Data files [All Fields] OR Data linkage [All Fields] OR Data mining [All Fields] OR Data retrieval [All Fields] OR Data retrieving [All Fields] OR Data source [All Fields] OR Data sources [All Fields] OR Data storage [All Fields] OR Datamining [All Fields] OR Evidence Based Dental Practice [All Fields] OR Evidence Based Dentistries [All Fields] OR Evidence Based Dentistry [All Fields] OR Evidence Based Emergency Medicine [All Fields] OR Evidence based emergency medicines [All Fields] OR Evidence based health care [All Fields] OR Evidence Based Healthcare [All Fields] OR Evidence based healthcares [All Fields] OR Evidence Based Medical Practice [All Fields] OR Evidence Based Medicine [All Fields] OR Evidence Based Nursing [All Fields] OR Evidence Based Practice [All Fields] OR Evidence based professional practice [All Fields] OR Health literacies [All Fields] OR Health literacy [All Fields] OR Information extraction [All Fields] OR Information extractions [All Fields] OR Information literacies [All Fields] OR Information literacy [All Fields] OR Information processing [All Fields] OR Information retrieval [All Fields] OR Information retrieving [All Fields] OR Information seeking behavior [All Fields] OR Information storage [All Fields] OR literature based discovery [All Fields] OR literature retrieval [All Fields] OR Literature retrieving [All Fields] OR Literature search [All Fields] OR Literature searches [All Fields] OR Literature Searching [All Fields] OR Machine readable data file [All Fields] OR Machine readable data files [All Fields] OR Online database search [All Fields] OR Online database searches [All Fields] OR Online database searching [All Fields] OR Online databases search [All Fields] OR Online databases searches [All Fields] OR Online databases searching [All Fields] OR Research Based Medical Practice [All Fields] OR Research Based Nursing Practice [All Fields] OR Research Based Occupational Therapy Practice [All Fields] OR Research Based Physical Therapy Practice [All Fields] OR Research Based Professional Practice [All Fields] OR Review Literature as Topic [All Fields] OR Search strategies [All Fields] OR Search strategy [All Fields] OR State of the art review [All Fields] OR State of the art reviews [All Fields] OR Systematic review topic [All Fields] OR Text mining [All Fields] OR Theory Based Nursing Practice [All Fields] |
#2 | Pico [All Fields] OR patient intervention comparison outcome [All Fields] OR patient intervention comparator outcome [All Fields] OR (population intervention comparison outcome [All Fields] OR population intervention comparison outcomes [All Fields]) OR problem intervention comparison outcome [All Fields] |
#3 | #1 AND #2 |
We considered all primary studies, regardless of design, as eligible for inclusion if they examined PICO as a tool for developing a search strategy (distinct from other methods for developing a search strategy) for identifying potentially relevant studies in any topic area. We excluded review articles but examined their reference lists to identify other potentially relevant studies. We applied no other restrictions, such as those related to languages or publication years, in this review.
Our primary outcome measure was the quality of literature searches using two measures: precision and sensitivity [ 17 ]. The Cochrane Handbook defines sensitivity as the number of relevant reports found divided by the total number of relevant reports in existence and precision as the number of relevant reports found divided by the total number of reports identified [ 10 ]. Our secondary outcome measure was time spent on the literature search.
We noted and summarized information pertaining to author, year of publication, study design, searchers, search strategy tools, and calculation of sensitivity and precision. Studies that did not evaluate and quantify the quality of the literature searches in terms of both precision and sensitivity were excluded from analysis. Empirical studies show that recall and precision are inversely related. High recall can easily be obtained but will, however, be at the expense of precision. Because a trade-off between recall and precision is unavoidable, one should only evaluate searches with both of these measures [ 18 ].
No validated criteria exist for assessing the risk of bias in studies evaluating the effect of PICO as a tool for developing the search strategy in terms of the quality of the searches. Therefore, we used a self-developed set of three criteria: (i) searcher skills, (ii) match between model and question, and (iii) performed searches ( Table 2 ). Each criterion consisted of a set of individual considerations and was assessed using the categories “low risk of bias,” “high risk of bias,” and “unclear risk of bias.” If one of the considerations in a criterion was judged as “high risk of bias” or “unclear risk of bias,” the overall judgment for that criterion was “high risk of bias” or “unclear risk of bias,” respectively. We developed the three criteria by consensus; however, this tool was not validated.
Risk-of-bias criteria
Criterion | Support for judgment | Review authors’ judgment |
---|---|---|
Searcher skills | Describe the skills of the searchers as well as their prior knowledge in the specific fields of the searched topics. | Searcher skills had bias due to inadequate random allocation of searchers to topics or order of search strategies applied as well as lack of concealment of searcher identity to reviewers. |
Fit between model and topic | Describe the chosen models, the topics to which they are applied, and the number of resulting search blocks. Describe how relevance of search results to topic is determined. | Fit between model and topic bias due to inadequate application of models to topics, varying number of search blocks, and relevance assessment not based on a gold standard. |
Quality of searches | Describe how the searches are performed and adapted for each database. | Searches performed had bias due to inadequate adaption of searches to each database as well as lack of consistency in search quality across search strategy tools. |
The searchers (i.e., study participants or authors) were the individuals performing the literature searches. If the searchers differed in their searching skills, this might have affected the overall results of the study. Thus, if some searchers had more training in literature searching than others, this could introduce a risk of bias. Similarly, if some of the searchers were familiar with the search strategy tools prior to the study, this also increases the risk of bias. Furthermore, if searchers used all included models in the study (e.g., were instructed to use particular conceptualizing models or unguided searching), the order in which the search strategy tools were applied might have affected search behavior, thus, introducing a risk of bias. Finally, although blinding of the searchers is not possible, blinding of the reviewers evaluating the search results is possible and serves to reduce the risk of bias resulting from knowing the identity of the searchers or search strategy tools that were applied.
Our risk-of-bias assessment for this criterion was based on the consideration that particular conceptualizing models might be developed to fit different topics or quantitative versus qualitative research and might apply to some topics or research areas better than others, which could influence the study results. Recent recommendations show that different review types require different question formats (i.e., different conceptualizing models and, thus, different search strategy tools) [ 19 ]. The fit between model and topic cannot be manipulated (e.g., if a research question does not include an intervention, all elements of the PICO model will not be applicable and, thus, will not fit that particular research question). We considered applying a conceptualizing model that was not fit for that particular research area a high risk of bias.
Another aspect of the fit between model and question is the relevance of the obtained search results. As sensitivity and precision measures are based on relevance, the search results need to be assessed for their relevance. Determination of the relevance of the obtained search results is performed ideally using a predefined set of publications (i.e., a gold standard), such as those retrieved in a systematic review, that can serve to assess the relevance of the search results. Alternatively, an expert group could assess the relevance of the retrieved results. A system’s view of relevance (i.e., the ranking of results or a study being present in the search results) is not sufficient [ 20 ]. We considered applying precision and recall without considering relevance based on a gold standard or an expert group a high risk of bias.
Finally, the number of search elements or search blocks needs to be considered, regardless of whether the search was unguided or structured by the use of a search strategy tool. All other things being equal, the number of retrieved articles will decrease as the number of blocks is increased. Consequently, the more elements, the fewer hits, which would affect the results of the study in terms of comparing applied search strategy tools. We considered search strategy tools (i.e., conceptualizing model or unguided search) that had a different number of search elements or search blocks a high risk of bias.
Our risk-of-bias assessment for this criterion was based on our consideration that the quality of the literature searches might impact the results of the study. Searches could be consistently high quality or consistently low quality, which does not in itself imply high risk of bias. However, if the quality of the searches is not consistently high or low, bias can occur. The quality of searches in this case was determined using criteria outlined in the PRESS statement [ 3 ], stressing that the criteria and methods depended on the specific databases. If the literature search was not conducted uniformly or if subject headings were not correctly adapted for each database, we considered it to have a high risk of bias.
Due to differences in the comparisons among search strategy tools in the included studies, we did not perform quantitative analyses. We, therefore, did not follow the sections in the PRISMA 2009 checklist [ 15 ] that relate to meta-analysis.
The literature search identified a total of 1,269 unique records ( Figure 1 ). We assessed 22 full-text articles for eligibility and excluded 19 due to wrong study design (i.e., studies that did not examine PICO as a tool for developing a search strategy for identifying potentially relevant studies in any topic area), wrong outcomes, or wrong interventions ( supplementary Appendix B ). Therefore, three studies were included in the qualitative analysis [ 21 – 23 ] ( Table 3 ).
Study selection flow diagram
Use of the patient, intervention, comparison, outcome (PICO) model compared to another conceptualizing model as a literature search strategy tool
Study (author, year) | Study design | Searchers | Calculation of primary outcomes | Databases searched | Comparison model or unguided search | Sensitivity (%) | Precision (%) |
---|---|---|---|---|---|---|---|
Agoritsas et al., 2012 [ ] | Observational study (no randomization, time series, or other study design indicated) | Two study authors trained in epidemiology and evidence-based medicine (EBM) extracted search terms, which all coauthors approved. It is unclear who performed the searches. | Sensitivity and precision calculations based on the relevance of the first 40 records in the search output as compared to a gold standard. | PubMed | PICO* | Median: | Median: |
17.9§, ‡‡ | 6.3§, ‡‡ | ||||||
26.1†, ‡‡ | 8.8†, ‡‡ | ||||||
29.6†, ** | 11.3†, ** | ||||||
15.5†, †† | 20.0†, †† | ||||||
54.7‡, ‡‡ | 32.1‡, ‡‡ | ||||||
54.7‡, ** | 32.8‡, ** | ||||||
15.5‡, †† | 50.0‡, †† | ||||||
PIC (truncated version of PICO)* | Median: | Median: | |||||
9.8§, ‡‡ | 2.5§, ‡‡ | ||||||
14.6†, ‡‡ | 5.0†, ‡‡ | ||||||
17.6†, ** | 5.0†, ** | ||||||
48.5‡, ‡‡ | 21.3 ‡, ‡‡ | ||||||
52.8‡, ** | 23.8‡, ** | ||||||
PubMed link to related articles* | Median: | Median: | |||||
39.7§, ‡‡ | 10.0§, ‡‡ | ||||||
37.9§, ‡‡ | 10.0§, ‡‡ | ||||||
37.5§, ‡‡ | 7.5§, ‡‡ | ||||||
Hoogendam et al., 2012 [ ] | Randomized controlled crossover trial | 8 specialists and 14 residents with interest in vascular medicine. | Sensitivity and precision calculations based on the relevance of all search output as compared to a gold standard. | PubMed | PICO | Average: 13.62 | Average:3.44 |
Unguided search | Average: 12.27 | Average:4.02 | |||||
Methley et al., 2014 [ ] | Observational study (study design not indicated) | Search strategy developed as collaboration between some or all study authors and a specialist librarian and information specialist. | Sensitivity and precision calculations based on the relevance of all search output as assessed by the study authors. | CINAHL | PICO | 77.78 | 1.04 |
Embase | 72.22 | 0.1 | |||||
MEDLINE | 66.67 | 0.15 | |||||
CINAHL | PICOS | 66.67 | 8.22 | ||||
Embase | 38.88 | 3.7 | |||||
MEDLINE | 33.33 | 5.32 | |||||
CINAHL | SPIDER | 66.67 | 8.22 | ||||
Embase | 16.67 | 5.45 | |||||
MEDLINE | 27.78 | 35.71 |
* Queries were combined with a †broad therapeutic intervention filter, ‡a narrow therapeutic intervention filter, or §no filter and further limited to **English language and human studies; ††English language, human studies, and Abridged Index Medicus titles; or ‡‡no limitations.
Agoritsas et al. evaluated searches outlined by the authors of the study based on the PICO framework and combined into queries; although not explicitly stated, the authors likely also performed the searches [ 21 ]. The study evaluated 15 search strategies that varied in their query structure (PIC or PICO), use of PubMed’s Clinical Queries therapeutic filters (broad or narrow), and search limits, as well use of PubMed links to related articles. A total of 450 searches were performed. Relevance was assessed on the first 40 records of the search output as well as the complete search output. The study reports that the PICO model resulted in increased median sensitivity and precision of the search results.
Hoogendam et al. evaluated the effectiveness of PICO versus unguided searching among 14 residents and 8 specialists who had an interest in vascular medicine [ 22 ]. Participants received a lecture by an expert searcher explaining the basics of PubMed to ensure a basic knowledge of PubMed functionality. Participants performed unguided searching for 5 minutes on 12 therapeutic questions regarding vascular medicine. After 2 weeks, an expert searcher explained the use of PICO, and participants performed PICO searching for 5 minutes on 12 different therapeutic questions. Although not statistically significant at the p <0.05 level, using the PICO model resulted in a higher average sensitivity and lower average precision than did unguided searching.
Methley et al. evaluated the SPIDER conceptualizing model [ 23 ]. The authors developed a detailed search strategy in collaboration with a specialist librarian and information specialist. Identical search terms were combined using the PICO, PICOS, or SPIDER search strategy tools and compared across PubMed, Embase, and CINAHL, resulting in a total of nine searches. The authors found that PICO retrieved the largest number of hits and recommended using PICO instead of SPIDER.
The three included studies varied widely in their design, choice of comparators, number of databases searched, procedure for relevance assessment, and methods of calculating outcomes ( Table 3 ).
One study was designed as a randomized trial including health professionals (residents and specialists) [ 22 ]; the other two were observational studies in which the authors were involved in the literature searches along with a specialist librarian and information specialist [ 23 ] or without stating who exactly performed the searches [ 21 ].
Two of the three included studies used Cochrane systematic reviews to formulate the clinical questions. These reviews were used as a basis for the search strategies and as a gold standard for determining the sensitivity and precision of the search results [ 21 , 22 ]. One study compared PICO to PICOS and SPIDER with a focus on a specific research question; as a consequence, the search strategy was built from elements of the research question, and the relevance of search results was judged against inclusion criteria [ 23 ]. Consequently, the included studies calculated sensitivity and precision from a gold standard [ 21 , 22 ] or a list of included studies [ 23 ].
Two of the three included studies compared the PICO model to alternative conceptualizing models. However, the two studies compared PICO to different conceptualizing models; thus, the PICO model was not compared to the same alternative conceptualizing models across studies.
One study compared the PICO model to the truncated PIC model in PubMed and reported that the PICO model resulted in increased median sensitivity and precision of the searches [ 21 ]. However, the performance of the tested search strategies was highly variable depending on the clinical question, and none of the 15 strategies showed a consistently high sensitivity in retrieving relevant articles. The study also used PubMed links to related articles as a search strategy, which resulted in higher sensitivity and precision than both the PICO and PIC models. The calculations were based on the first 40 records of the PubMed output as well as the complete search output. When the full output was screened for relevant studies, about 85% of records were detected by the PIC queries and about 69% by the PICO queries [ 21 ].
One study compared the PICO model to PICOS and SPIDER in CINAHL, Embase, and MEDLINE [ 23 ]. Although hardly conclusive due to extremely limited data, the use of PICO as a search strategy tool resulted in higher sensitivity and lower precision than the use of PICOS and SPIDER. However, as different numbers of search blocks were used for each model (i.e., PICO: 3 search blocks, PICOS: 4 search blocks, SPIDER: 6 search blocks), these results are expected.
One study compared the PICO model to unguided searching [ 22 ]. The study reported that use of the PICO model resulted in higher average sensitivity and lower average precision than did unguided searches, although this difference was not statistically significant.
None of the included studies investigated the time spent on the literature search.
We used three risk-of-bias criteria to assess the risk of bias: (i) searcher skills, (ii) match between model and question, and (iii) quality of searches. Overall, there were several instances of unclear or high risk of bias with respect to all three criteria ( Table 4 ). The searcher skills criterion revealed either an unclear risk of bias [ 21 , 23 ] or a high risk of bias [ 22 ] in the studies. The match between model and question criterion revealed that two studies [ 21 , 23 ] had a high risk of bias and one study [ 22 ] had an unclear risk of bias. Finally, we found that the quality of searches criterion revealed that two studies [ 21 , 22 ] had an unclear risk of bias, and one study had a low risk of bias [ 23 ]. A complete overview of the risk of bias assessments can be found in supplementary Appendix C .
Risk-of-bias summary
Study (Author, year) | Searcher skills | Fit between model and topic | Quality of searches |
---|---|---|---|
Agoritsas et al., 2012 [ ] | Unclear | High | Unclear |
Hoogendam et al., 2012 [ ] | High | Unclear | Unclear |
Methley et al., 2014 [ ] | Unclear | High | Low |
This study is the first systematic review aiming to determine whether the use of the PICO model as search strategy tool affects the quality of the literature search, which had the potential to provide valuable evidence of the effect of using PICO to formulate search queries. This review is strengthened by the use of rigorous methods based on prespecified criteria in a protocol following both the AMSTAR measurement tool [ 14 ] and PRISMA 2009 checklist [ 15 ], a comprehensive literature search and duplicate screening process, data extraction, and risk-of-bias assessment. However, we identified only three studies that were eligible for inclusion in the review [ 21 – 23 ], and given the marked differences among studies, it was only possible to perform qualitative analysis.
Despite the rigorous methodology that we used, there are limitations for this review. No validated assessment tool exists for these types of studies, which led us to develop our own set of risk-of-bias criteria. As opposed to validated criteria such as Cochrane’s risk-of-bias tool for assessing randomized trials [ 24 ], our tool was not validated, which would have been preferable. Despite the limitations of our risk-of-bias tool, we regarded all three included studies [ 21 – 23 ] as having a high or unclear risk of bias. Consequently, it is extremely difficult to draw any conclusions from their findings.
As no similar reviews exist, we turn to the individual studies to enlighten our discussion on whether the use of the PICO model as search strategy tool affects the quality of the literature search. Two issues are prominent: the importance of the number of search blocks and the practice of avoiding outcome-related terms in the search strategy.
First, the number of search blocks in a literature search is important for the search output. That is, the more search blocks that are included, the more restricted the search output will be. One of the included studies did not compensate for the number of search blocks in each strategy, and thus, as expected, the search strategy tool with the lowest number of blocks retrieved a greater number of hits [ 23 ]. Existing guidelines recommend using only the truncated PIC version of the PICO model for performing literature searches for systematic reviews [ 13 ]. The rationale is that some or all outcome measures might not be mentioned in abstracts, and including a search block defining the outcomes leads to a lower sensitivity of the literature search.
One study that was included in this review investigated the median sensitivity and precision of the PICO model compared to the PIC model [ 21 ]. Surprisingly, the study reported that the PICO model performed better than the truncated PIC model with regard to sensitivity and precision. However, these results were based only on the first forty records of the search output, which might explain this surprising finding, because an inverse relationship usually exists between sensitivity and precision [ 18 ]. Also, depending on how the search results were sorted, different results could be obtained. When considering the full search output, the PIC model did show a higher sensitivity and lower precision, although both measures varied greatly across different searches [ 21 ]. This finding of higher sensitivity and lower precision when using the PIC model (three search blocks) compared with the PICO model (four search blocks) [ 21 ] is in accordance with another included study that found that the PICO model (using three search blocks: P, I, and O) resulted in higher sensitivity and lower precision than the PICOS model (four search blocks) or SPIDER model (five search blocks) [ 23 ]. Taken together, these results suggest that the number of search blocks impacts the quality of the search output as quantified by sensitivity and precision.
Second, the claim that searching for outcome-related terms when using the PICO model as a search strategy tool lowers the sensitivity of the search [ 13 ] is not substantiated. Based on the limited data from this review, however, we are not able to make any firm conclusions. The study addressing this issue [ 21 ] focused on identifying search components and tools that could help clinicians build more effective strategies to answer questions at the point of care and did not include sophisticated strategies used for performing systematic reviews; thus, its results are of limited generalizability. Future studies investigating the effect of searching for outcome-related terms are needed to support this recommendation [ 10 ].
The PICO model was developed to help structure a well-built clinical question and enable a literature search [ 6 ]. Since its introduction, it has played an important role as a conceptualizing model in EBM [ 10 ]. However, evidence of the effect of using the PICO model as a search strategy tool is still lacking, and the studies that were included in this review do not allow us to build upon this important body of evidence. To practice EBM with evidence-based methods, and thus ensure rigorous methodology, the results of this review indicate that more work is needed to assess the applicability of specific conceptualizing models. Furthermore, we propose that it is important for future research on this topic to address three potential risks of bias: (i) searcher skills, (ii) match between model and question, and (iii) quality of searches.
Overall, there have been few studies assessing the effect of using the PICO model versus other available models or unguided searching on the quality of literature search results. Specifically, despite a rigorous search and selection process, we found only three such studies. Due to heterogeneity among these studies, quantitative analysis was not possible, and no solid conclusions about the effect of using the PICO model on the quality of the literature search could be drawn. Before implications for current practice can be made, there is a need for well-designed studies to evaluate the role of the tool used to devise a search strategy.
Acknowledgments.
We thank the anonymous referees for their useful suggestions and Rasmus Højbjerg Jacobsen for carefully revising the manuscript.
Created by health science librarians.
PICO is a helpful framework for clinical research questions, but may not be the best for other types of research questions. Did you know there are at least 25 other question frameworks besides variations of PICO? Frameworks like PEO, SPIDER, SPICE, ECLIPSE, and others can help you formulate a focused research question. The table and example below were created by the Medical University of South Carolina (MUSC) Libraries .
The PEO question framework is useful for qualitative research topics. PEO questions identify three concepts: population, exposure, and outcome.
opulation | Who is my question focused on? | mothers |
xposure | What is the issue I am interested in? | postnatal depression |
utcome | What, in relation to the issue, do I want to examine? | daily living experiences |
Research question : What are the daily living experiences of mothers with postnatal depression?
The SPIDER question framework is useful for qualitative or mixed methods research topics focused on "samples" rather than populations.
SPIDER questions identify five concepts: sample, phenomenon of interest, design, evaluation,and research type.
Element | Definition | Example |
---|---|---|
ample | Who is the group of people being studied? | young parents |
henomenon of nterest | What are the reasons for behavior and decisions? | attendance at antenatal education classes |
esign | How has the research been collected (e.g., interview, survey)? | interviews |
valuation | What is the outcome being impacted? | experiences |
esearch type | What type of research (qualitative or mixed methods)? | qualitative studies |
Research question : What are the experiences of young parents in attendance at antenatal education classes?
The SPICE question framework is useful for qualitative research topics evaluating the outcomes of a service, project, or intervention. SPICE questions identify five concepts: setting, perspective, intervention/exposure/interest, comparison, and evaluation.
Element | Definition | Example |
---|---|---|
etting | Setting is the context for the question (where). | South Carolina |
erspective | Perspective is the users, potential users, or stakeholders of the service (for whom). | teenagers |
ntervention / Interest / Exposure | Intervention is the action taken for the users, potential users, or stakeholders (what). | provision of Quit Kits to support smoking cessation |
omparison | Comparison is the alternative actions or outcomes (compared to what). | no support or "cold turkey" |
valuation | Evaluation is the result or measurement that will determine the success of the intervention (what is the result, how well). | number of successful attempts to give up smoking with Quit Kits compared to number of successful attempts with no support |
Research question : For teenagers in South Carolina, what is the effect of provision of Quit Kits to support smoking cessation on number of successful attempts to give up smoking compared to no support ("cold turkey")?
The ECLIPSE framework is useful for qualitative research topics investigating the outcomes of a policy or service. ECLIPSE questions identify six concepts: expectation, client group, location, impact, professionals, and service.
xpectation | What are you looking to improve or change? What is the information going to be used for? | to increase access to wireless internet in the hospital |
lient group | Who is the service or policy aimed at? | patients and families |
ocation | Where is the service or policy located? | hospitals |
mpact | What is the change in service or policy that the researcher is investigating? | clients have easy access to free internet |
rofessionals | Who is involved in providing or improving the service or policy? | IT, hospital administration |
rvice | What kind of service or policy is this? | provision of free wireless internet to patients |
Research question : How can I increase access to wireless internet for hospital patients?
The PICOT question is a consistent “formula” for developing answerable, searchable questions that result in an effective literature search that yields the best, most relevant information. This resource will help you to write clinically specific, searchable PICO questions.
Focused content to elevate your practice at the point of care, including toolkits, quick guides, discussion tools, checklists, and clinical updates.
PICO(T ) is a question formula that allows you to define your research question and determine the key components of your research. It allows you to develop focused relevant questions.
PICO(T) stands for:
P - Patient, Population or Problem
I - Intervention or Indicator
C - Comparison or Outcome
O - Outcome
(T) - Time, Type of Study, or Type of Question (This is optional, depending on your research question)
The Centre for Evidence Based Medicine (CEBM) states that " one of the fundamental skills required for practising EBM is the asking of well-built clinical questions. To benefit patients and clinicians, such questions need to be both directly relevant to patients' problems and phrased in ways that direct your search to relevant and precise answers " PICO model assists you in organizing and developing your question to be able to search our databases effectively.
Characteristics of PICO Questions include:
(Duke University, 2014; Upstate Medical University, 2010)
The following are the four specific PICO(T) question components that will promote developing an answerable clinical questions and developing an efficient search strategy.
P atient or Problem
Describe the population or clinical problem? What are the most important characteristics of the patient or problem?
I ntervention, Prognostic Factor, or Exposure
What is the main intervention, prognostic factor, or exposure being considered? What do you want to do with this patient?
C omparison Intervention
What is the main alternative to compare with the intervention, if any?
What are you trying to accomplish, improve, or affect?
T ime / T ype of Study
Time element or type of study.
(Centre for Evidence-Based Medicine, 2014; Duke University, 2014; Occupational Therapy Evidence-Based Practice in Western New York, n.d.; Upstate Medical University, 2010)
Clinical questions are often classified as either background or foreground.
A. Background questions - questions that ask for general knowledge about an illness, disease, condition, or process (who, what, when, where, how, and why about disorders, tests, or treatments). Questions like: What is considered overweight in a 45 year old male? What are some symptoms of diabetes? Background questions are often answerable by using "background resources" such as textbooks, manuals, and narrative reviews in scholarly articles.
B. Foreground questions - questions that ask for specific knowledge that
1) affect clinical decisions and
2) include a broad range of issues, including psychological, biologic, and sociologic issues.
These questions will usually concern a specific patient/particular population and tend to be more complex. Often, foreground questions require investigation and comparison between two treatments and/or outcomes. These questions ask for specific knowledge to be able to make informed clinical decisions. These are questions that require a search of current medical literature.
PICO allows you to formulate articulate foreground questions to be able to effectively research your topic.
Below are some websites and tutorials showing PICO examples:
IMAGES
VIDEO
COMMENTS
A "foreground" question in health research is one that is relatively specific, and is usually best addressed by locating primary research evidence. Using a structured question framework can help you clearly define the concepts or variables that make up the specific research question. Across most frameworks, you'll often be considering:
A multi-institutional research team explored these questions in a scoping review. Cultural Awareness and Nursing Care. ... Stephanie Betancur explored this PICO question in both an Honors Thesis and an article. Labor & Delivery. You're a new nurse on a labor and delivery unit. You've noticed that most women give birth in the lithotomy ...
This article will assist researchers by providing step-by-step guidance on the formulation of a research question. This paper also describes PICO (population, intervention, control, and outcomes) criteria in framing a research question. Finally, we also assess the characteristics of a research question in the context of initiating a research ...
Abstract. Formulating a research question is a crucial step in directing any scientific study. The classical evidence-based approach to formulating a question uses the PICO framework, consisting of population, intervention, comparison, and outcome. However, the PICO framework is not suitable for formulating research questions in some types of ...
These components give you the specific who, what, when, where and how, of an evidence-based health-care research question. The PICO model is widely used and taught in evidence-based health care as a strategy for defining Review criteria, formulating questions and search strategies, and for characterizing included studies or meta-analyses. ...
form a question that focuses on the most important issue for a patient or a population; identify key terms to use in a search for evidence; select results that directly relate to the situation; PICO has some limitations. The framework privileges interventions, experimental research, and dominant voices. PICO's Limitations
PICO stands for P opulation, I ntervention, C omparison, and O utcome. It's a framework for building research questions that target specific clinical issues. By pinpointing the patient population, the proposed intervention, a comparison group (if applicable), and the desired outcomes, a PICO question provides a roadmap for your research.
A research question framework can help structure your systematic review question. PICO/T is an acronym which stands for. P Population/Problem; I Intervention/Exposure; C Comparison; O Outcome; T Time; Each PICO includes at least a P, I, and an O, and some include a C or a T. Below are some sample PICO/T questions to help you use the framework ...
Research Subject Guides; Evidence-Based Practice ... PICO is an acronym that can help you create a well-built clinical question by identifying the key aspects of a ... L., & Melnyk, B. M. (2019). The Underappreciated and Misunderstood PICOT Question: A Critical Step in the EBP Process. Worldviews on Evidence-Based Nursing, 16(6), 422-423 ...
Using PICO and PEO Research Questions for Literature Reviews of Searching. Just as you might utilize PICO and PEO question formatting for designing your research, you can also tap into their formats when you're looking for previous studies on your topic of interest. For example, if you are looking for information on dietary interventions and ...
When forming your question using the PICO framework it is useful to think about what type of question it is you are asking, (therapy, prevention, diagnosis, prognosis, etiology). The table below illustrates ways in which P roblems, I nterventions, C omparisons and O utcomes vary according to the t ype (domain) of your question. 2.
The first step in doing this is to determine the type of question: background or foreground. The type of question helps to determine the resource to access to answer the question. Background questions ask for general knowledge about a condition or thing. Broaden the scope - "The Forest". Provides basics for a a greater grasp of concepts.
PICO (T) In order be successful in using Evidence Based Practice (EBP) you will need to learn how to develop well-composed clinical questions. By formatting your research question in a PICO (T) format you can gather evidence relevant to your patient's problem. Well-composed PICO (T) questions generally contain up to four components each ...
PICO Question Template Examples. It can be helpful to classify your question based on the clinical domain (s) it falls under. See below for definitions, PICO templates, and example questions from the primary clinical domains: intervention, diagnosis, etiology, prevention, prognosis/prediction, quality of life/meaning, and therapy.
PICO is an acronym for. Patient; Intervention; Comparison; Outcome; PICO is used to create a researchable question based on a clinical situation you have encountered. Based on your PICO question, you will identify keywords and/or subject terms to use in database searches.. You can use PICO to develop your clinical question. P - Patient or population/disease: Which population are you studying?
This is known as the PICO method, and it is widely used by health researchers, healthcare professionals, and related collaborations such as those in The Cochrane Library, to construct searchable questions that give relevant and precise results. The table below shows how the PICO method is used. P opulation or problem.
A PICO question is used to perform effective and efficient searches of nursing literature to make evidence-based clinical decisions. The following videos provide guidelines on developing a PICO question and using the PICO question to search the CINAHL and MEDLINE databases.
O: Outcome. PICO is a formula used to develop a researchable clinical question. The purpose of a PICO question is to help breakdown a research question into smaller parts, making the evaluation of evidence more straightforward. P: Population, patient, or problem. I: Intervention or indicator. C: Comparison or control.
The reason of using the PICO format in the current study was the frequent citation of PICO framework in many literatures as the best framing tools of research questions in EBM. Furthermore, it was shown that the use of PICO elements was associated with improvement in search results for clinical information in PubMed. In the present study ...
PICO (alternately known as PICOT) is a mnemonic used to describe the four elements of a good clinical question. It stands for: P--Patient/Problem I--Intervention C--Comparison O--Outcome. Many people find that it helps them clarify their question, which in turn makes it easier to find an answer. Use PICO to generate terms - these you'll use in your literature search for the current best ...
Organizing Your Research; Background Knowledge. ... One way of focusing your question is by using the PICO format (you may also see PICO(T) or PICOTT). PICO includes several factors that, when searched together, comprise a well-built clinical question. It includes:
A quick guide to introduce you to formulating a search question using PICO. Research question frameworks; ... Build your own PICO ; Qualitative research questions. PEO ; SPICE ; SPIDER ; Build your own PICO. Use the following resources to help you structure your own PICO, which you can use to find information on your topic or clinical question.
The fit between model and topic cannot be manipulated (e.g., if a research question does not include an intervention, all elements of the PICO model will not be applicable and, thus, will not fit that particular research question). We considered applying a conceptualizing model that was not fit for that particular research area a high risk of bias.
PICO is a helpful framework for clinical research questions, but may not be the best for other types of research questions. Did you know there are at least 25 other question frameworks besides variations of PICO? Frameworks like PEO, SPIDER, SPICE, ECLIPSE, and others can help you formulate a focused research question. The table and example below were created by the Medical University of South ...
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PICO(T) is a question formula that allows you to define your research question and determine the key components of your research.It allows you to develop focused relevant questions. PICO(T) stands for: P - Patient, Population or Problem . I - Intervention or Indicator . C - Comparison or Outcome . O - Outcome (T) - Time, Type of Study, or Type of Question (This is optional, depending on your ...