- Pre-registration nursing students
- No definition of master’s degree in nursing described in the publication
After the search, we collated and uploaded all the identified records into EndNote v.X8 (Clarivate Analytics, Philadelphia, Pennsylvania) and removed any duplicates. Two independent reviewers (MCS and SA) screened the titles and abstracts for assessment in line with the inclusion criteria. They retrieved and assessed the full texts of the selected studies while applying the inclusion criteria. Any disagreements about the eligibility of studies were resolved by discussion or, if no consensus could be reached, by involving experienced researchers (MZ-S and RP).
The first reviewer (MCS) extracted data from the selected publications. For this purpose, an extraction tool developed by the authors was used. This tool comprised the following criteria: author(s), year of publication, country, research question, design, case definition, data sources, and methodologic and data-analysis triangulation. First, we extracted and summarized information about the case study design. Second, we narratively summarized the way in which the data and methodological triangulation were described. Finally, we summarized the information on within-case or cross-case analysis. This process was performed using Microsoft Excel. One reviewer (MCS) extracted data, whereas another reviewer (SA) cross-checked the data extraction, making suggestions for additions or edits. Any disagreements between the reviewers were resolved through discussion.
A total of 149 records were identified in 2 databases. We removed 20 duplicates and screened 129 reports by title and abstract. A total of 46 reports were assessed for eligibility. Through hand searches, we identified 117 additional records. Of these, we excluded 98 reports after title and abstract screening. A total of 17 reports were assessed for eligibility. From the 2 databases and the hand search, 63 reports were assessed for eligibility. Ultimately, we included 8 articles for data extraction. No further articles were included after the reference list screening of the included studies. A PRISMA flow diagram of the study selection and inclusion process is presented in Figure 1 . As shown in Tables 2 and and3, 3 , the articles included in this scoping review were published between 2010 and 2022 in Canada (n = 3), the United States (n = 2), Australia (n = 2), and Scotland (n = 1).
PRISMA flow diagram.
Characteristics of Articles Included.
Author | Contandriopoulos et al | Flinter | Hogan et al | Hungerford et al | O’Rourke | Roots and MacDonald | Schadewaldt et al | Strachan et al |
---|---|---|---|---|---|---|---|---|
Country | Canada | The United States | The United States | Australia | Canada | Canada | Australia | Scotland |
How or why research question | No information on the research question | Several how or why research questions | What and how research question | No information on the research question | Several how or why research questions | No information on the research question | What research question | What and why research questions |
Design and referenced author of methodological guidance | Six qualitative case studies Robert K. Yin | Multiple-case studies design Robert K. Yin | Multiple-case studies design Robert E. Stake | Case study design Robert K. Yin | Qualitative single-case study Robert K. Yin Robert E. Stake Sharan Merriam | Single-case study design Robert K. Yin Sharan Merriam | Multiple-case studies design Robert K. Yin Robert E. Stake | Multiple-case studies design |
Case definition | Team of health professionals (Small group) | Nurse practitioners (Individuals) | Primary care practices (Organization) | Community-based NP model of practice (Organization) | NP-led practice (Organization) | Primary care practices (Organization) | No information on case definition | Health board (Organization) |
Overview of Within-Method, Between/Across-Method, and Data-Analysis Triangulation.
Author | Contandriopoulos et al | Flinter | Hogan et al | Hungerford et al | O’Rourke | Roots and MacDonald | Schadewaldt et al | Strachan et al |
---|---|---|---|---|---|---|---|---|
Within-method triangulation (using within-method triangulation use at least 2 data-collection procedures from the same design approach) | ||||||||
: | ||||||||
Interviews | X | x | x | x | x | |||
Observations | x | x | ||||||
Public documents | x | x | x | |||||
Electronic health records | x | |||||||
Between/across-method (using both qualitative and quantitative data-collection procedures in the same study) | ||||||||
: | ||||||||
: | ||||||||
Interviews | x | x | x | |||||
Observations | x | x | ||||||
Public documents | x | x | ||||||
Electronic health records | x | |||||||
: | ||||||||
Self-assessment | x | |||||||
Service records | x | |||||||
Questionnaires | x | |||||||
Data-analysis triangulation (combination of 2 or more methods of analyzing data) | ||||||||
: | ||||||||
: | ||||||||
Deductive | x | x | x | |||||
Inductive | x | x | ||||||
Thematic | x | x | ||||||
Content | ||||||||
: | ||||||||
Descriptive analysis | x | x | x | |||||
: | ||||||||
: | ||||||||
Deductive | x | x | x | x | ||||
Inductive | x | x | ||||||
Thematic | x | |||||||
Content | x |
The following sections describe the research question, case definition, and case study design. Case studies are most appropriate when asking “how” or “why” questions. 1 According to Yin, 1 how and why questions are explanatory and lead to the use of case studies, histories, and experiments as the preferred research methods. In 1 study from Canada, eg, the following research question was presented: “How and why did stakeholders participate in the system change process that led to the introduction of the first nurse practitioner-led Clinic in Ontario?” (p7) 19 Once the research question has been formulated, the case should be defined and, subsequently, the case study design chosen. 1 In typical case studies with mixed methods, the 2 types of data are gathered concurrently in a convergent design and the results merged to examine a case and/or compare multiple cases. 10
“How” or “why” questions were found in 4 studies. 16 , 17 , 19 , 22 Two studies additionally asked “what” questions. Three studies described an exploratory approach, and 1 study presented an explanatory approach. Of these 4 studies, 3 studies chose a qualitative approach 17 , 19 , 22 and 1 opted for mixed methods with a convergent design. 16
In the remaining studies, either the research questions were not clearly stated or no “how” or “why” questions were formulated. For example, “what” questions were found in 1 study. 21 No information was provided on exploratory, descriptive, and explanatory approaches. Schadewaldt et al 21 chose mixed methods with a convergent design.
A total of 5 studies defined the case as an organizational unit. 17 , 18 - 20 , 22 Of the 8 articles, 4 reported multiple-case studies. 16 , 17 , 22 , 23 Another 2 publications involved single-case studies. 19 , 20 Moreover, 2 publications did not state the case study design explicitly.
This section describes within-method triangulation, which involves employing at least 2 data-collection procedures within the same design approach. 6 , 7 This can also be called data source triangulation. 8 Next, we present the single data-collection procedures in detail. In 5 studies, information on within-method triangulation was found. 15 , 17 - 19 , 22 Studies describing a quantitative approach and the triangulation of 2 or more quantitative data-collection procedures could not be included in this scoping review.
Five studies used qualitative data-collection procedures. Two studies combined face-to-face interviews and documents. 15 , 19 One study mixed in-depth interviews with observations, 18 and 1 study combined face-to-face interviews and documentation. 22 One study contained face-to-face interviews, observations, and documentation. 17 The combination of different qualitative data-collection procedures was used to present the case context in an authentic and complex way, to elicit the perspectives of the participants, and to obtain a holistic description and explanation of the cases under study.
All 5 studies used qualitative interviews as the primary data-collection procedure. 15 , 17 - 19 , 22 Face-to-face, in-depth, and semi-structured interviews were conducted. The topics covered in the interviews included processes in the introduction of new care services and experiences of barriers and facilitators to collaborative work in general practices. Two studies did not specify the type of interviews conducted and did not report sample questions. 15 , 18
In 2 studies, qualitative observations were carried out. 17 , 18 During the observations, the physical design of the clinical patients’ rooms and office spaces was examined. 17 Hungerford et al 18 did not explain what information was collected during the observations. In both studies, the type of observation was not specified. Observations were generally recorded as field notes.
In 3 studies, various qualitative public documents were studied. 15 , 19 , 22 These documents included role description, education curriculum, governance frameworks, websites, and newspapers with information about the implementation of the role and general practice. Only 1 study failed to specify the type of document and the collected data. 15
In 1 study, qualitative documentation was investigated. 17 This included a review of dashboards (eg, provider productivity reports or provider quality dashboards in the electronic health record) and quality performance reports (eg, practice-wide or co-management team-wide performance reports).
This section describes the between/across methods, which involve employing both qualitative and quantitative data-collection procedures in the same study. 6 , 7 This procedure can also be denoted “methodologic triangulation.” 8 Subsequently, we present the individual data-collection procedures. In 3 studies, information on between/across triangulation was found. 16 , 20 , 21
Three studies used qualitative and quantitative data-collection procedures. One study combined face-to-face interviews, documentation, and self-assessments. 16 One study employed semi-structured interviews, direct observation, documents, and service records, 20 and another study combined face-to-face interviews, non-participant observation, documents, and questionnaires. 23
All 3 studies used qualitative interviews as the primary data-collection procedure. 16 , 20 , 23 Face-to-face and semi-structured interviews were conducted. In the interviews, data were collected on the introduction of new care services and experiences of barriers to and facilitators of collaborative work in general practices.
In 2 studies, direct and non-participant qualitative observations were conducted. 20 , 23 During the observations, the interaction between health professionals or the organization and the clinical context was observed. Observations were generally recorded as field notes.
In 2 studies, various qualitative public documents were examined. 20 , 23 These documents included role description, newspapers, websites, and practice documents (eg, flyers). In the documents, information on the role implementation and role description of NPs was collected.
In 1 study, qualitative individual journals were studied. 16 These included reflective journals from NPs, who performed the role in primary health care.
Only 1 study involved quantitative service records. 20 These service records were obtained from the primary care practices and the respective health authorities. They were collected before and after the implementation of an NP role to identify changes in patients’ access to health care, the volume of patients served, and patients’ use of acute care services.
In 2 studies, quantitative questionnaires were used to gather information about the teams’ satisfaction with collaboration. 16 , 21 In 1 study, 3 validated scales were used. The scales measured experience, satisfaction, and belief in the benefits of collaboration. 21 Psychometric performance indicators of these scales were provided. However, the time points of data collection were not specified; similarly, whether the questionnaires were completed online or by hand was not mentioned. A competency self-assessment tool was used in another study. 16 The assessment comprised 70 items and included topics such as health promotion, protection, disease prevention and treatment, the NP-patient relationship, the teaching-coaching function, the professional role, managing and negotiating health care delivery systems, monitoring and ensuring the quality of health care practice, and cultural competence. Psychometric performance indicators were provided. The assessment was completed online with 2 measurement time points (pre self-assessment and post self-assessment).
This section describes data-analysis triangulation, which involves the combination of 2 or more methods of analyzing data. 6 Subsequently, we present within-case analysis and cross-case analysis.
Three studies combined qualitative and quantitative methods of analysis. 16 , 20 , 21 Two studies involved deductive and inductive qualitative analysis, and qualitative data were analyzed thematically. 20 , 21 One used deductive qualitative analysis. 16 The method of analysis was not specified in the studies. Quantitative data were analyzed using descriptive statistics in 3 studies. 16 , 20 , 23 The descriptive statistics comprised the calculation of the mean, median, and frequencies.
Two studies combined deductive and inductive qualitative analysis, 19 , 22 and 2 studies only used deductive qualitative analysis. 15 , 18 Qualitative data were analyzed thematically in 1 study, 22 and data were treated with content analysis in the other. 19 The method of analysis was not specified in the 2 studies.
In 7 studies, a within-case analysis was performed. 15 - 20 , 22 Six studies used qualitative data for the within-case analysis, and 1 study employed qualitative and quantitative data. Data were analyzed separately, consecutively, or in parallel. The themes generated from qualitative data were compared and then summarized. The individual cases were presented mostly as a narrative description. Quantitative data were integrated into the qualitative description with tables and graphs. Qualitative and quantitative data were also presented as a narrative description.
Of the multiple-case studies, 5 carried out cross-case analyses. 15 - 17 , 20 , 22 Three studies described the cross-case analysis using qualitative data. Two studies reported a combination of qualitative and quantitative data for the cross-case analysis. In each multiple-case study, the individual cases were contrasted to identify the differences and similarities between the cases. One study did not specify whether a within-case or a cross-case analysis was conducted. 23
This section describes confirmation or contradiction through qualitative and quantitative data. 1 , 4 Qualitative and quantitative data were reported separately, with little connection between them. As a result, the conclusions on neither the comparisons nor the contradictions could be clearly determined.
In 3 studies, the consistency of the results of different types of qualitative data was highlighted. 16 , 19 , 21 In particular, documentation and interviews or interviews and observations were contrasted:
Both types of data showed that NPs and general practitioners wanted to have more time in common to discuss patient cases and engage in personal exchanges. 21 In addition, the qualitative and quantitative data confirmed the individual progression of NPs from less competent to more competent. 16 One study pointed out that qualitative and quantitative data obtained similar results for the cases. 20 For example, integrating NPs improved patient access by increasing appointment availability.
Although questionnaire results indicated that NPs and general practitioners experienced high levels of collaboration and satisfaction with the collaborative relationship, the qualitative results drew a more ambivalent picture of NPs’ and general practitioners’ experiences with collaboration. 21
The studies included in this scoping review evidenced various research questions. The recommended formats (ie, how or why questions) were not applied consistently. Therefore, no case study design should be applied because the research question is the major guide for determining the research design. 2 Furthermore, case definitions and designs were applied variably. The lack of standardization is reflected in differences in the reporting of these case studies. Generally, case study research is viewed as allowing much more freedom and flexibility. 5 , 24 However, this flexibility and the lack of uniform specifications lead to confusion.
Methodologic triangulation, as described in the literature, can be somewhat confusing as it can refer to either data-collection methods or research designs. 6 , 8 For example, methodologic triangulation can allude to qualitative and quantitative methods, indicating a paradigmatic connection. Methodologic triangulation can also point to qualitative and quantitative data-collection methods, analysis, and interpretation without specific philosophical stances. 6 , 8 Regarding “data-collection methods with no philosophical stances,” we would recommend using the wording “data source triangulation” instead. Thus, the demarcation between the method and the data-collection procedures will be clearer.
Yin 1 advocated the use of multiple sources of evidence so that a case or cases can be investigated more comprehensively and accurately. Most studies included multiple data-collection procedures. Five studies employed a variety of qualitative data-collection procedures, and 3 studies used qualitative and quantitative data-collection procedures (mixed methods). In contrast, no study contained 2 or more quantitative data-collection procedures. In particular, quantitative data-collection procedures—such as validated, reliable questionnaires, scales, or assessments—were not used exhaustively. The prerequisites for using multiple data-collection procedures are availability, the knowledge and skill of the researcher, and sufficient financial funds. 1 To meet these prerequisites, research teams consisting of members with different levels of training and experience are necessary. Multidisciplinary research teams need to be aware of the strengths and weaknesses of different data sources and collection procedures. 1
When using multiple data sources and analysis methods, it is necessary to present the results in a coherent manner. Although the importance of multiple data sources and analysis has been emphasized, 1 , 5 the description of triangulation has tended to be brief. Thus, traceability of the research process is not always ensured. The sparse description of the data-analysis triangulation procedure may be due to the limited number of words in publications or the complexity involved in merging the different data sources.
Only a few concrete recommendations regarding the operationalization of the data-analysis triangulation with the qualitative data process were found. 25 A total of 3 approaches have been proposed 25 : (1) the intuitive approach, in which researchers intuitively connect information from different data sources; (2) the procedural approach, in which each comparative or contrasting step in triangulation is documented to ensure transparency and replicability; and (3) the intersubjective approach, which necessitates a group of researchers agreeing on the steps in the triangulation process. For each case study, one of these 3 approaches needs to be selected, carefully carried out, and documented. Thus, in-depth examination of the data can take place. Farmer et al 25 concluded that most researchers take the intuitive approach; therefore, triangulation is not clearly articulated. This trend is also evident in our scoping review.
Few studies in this scoping review used a combination of qualitative and quantitative analysis. However, creating a comprehensive stand-alone picture of a case from both qualitative and quantitative methods is challenging. Findings derived from different data types may not automatically coalesce into a coherent whole. 4 O’Cathain et al 26 described 3 techniques for combining the results of qualitative and quantitative methods: (1) developing a triangulation protocol; (2) following a thread by selecting a theme from 1 component and following it across the other components; and (3) developing a mixed-methods matrix.
The most detailed description of the conducting of triangulation is the triangulation protocol. The triangulation protocol takes place at the interpretation stage of the research process. 26 This protocol was developed for multiple qualitative data but can also be applied to a combination of qualitative and quantitative data. 25 , 26 It is possible to determine agreement, partial agreement, “silence,” or dissonance between the results of qualitative and quantitative data. The protocol is intended to bring together the various themes from the qualitative and quantitative results and identify overarching meta-themes. 25 , 26
The “following a thread” technique is used in the analysis stage of the research process. To begin, each data source is analyzed to identify the most important themes that need further investigation. Subsequently, the research team selects 1 theme from 1 data source and follows it up in the other data source, thereby creating a thread. The individual steps of this technique are not specified. 26 , 27
A mixed-methods matrix is used at the end of the analysis. 26 All the data collected on a defined case are examined together in 1 large matrix, paying attention to cases rather than variables or themes. In a mixed-methods matrix (eg, a table), the rows represent the cases for which both qualitative and quantitative data exist. The columns show the findings for each case. This technique allows the research team to look for congruency, surprises, and paradoxes among the findings as well as patterns across multiple cases. In our review, we identified only one of these 3 approaches in the study by Roots and MacDonald. 20 These authors mentioned that a causal network analysis was performed using a matrix. However, no further details were given, and reference was made to a later publication. We could not find this publication.
Because it focused on the implementation of NPs in primary health care, the setting of this scoping review was narrow. However, triangulation is essential for research in this area. This type of research was found to provide a good basis for understanding methodologic and data-analysis triangulation. Despite the lack of traceability in the description of the data and methodological triangulation, we believe that case studies are an appropriate design for exploring new nursing roles in existing health care systems. This is evidenced by the fact that case study research is widely used in many social science disciplines as well as in professional practice. 1 To strengthen this research method and increase the traceability in the research process, we recommend using the reporting guideline and reporting checklist by Rodgers et al. 9 This reporting checklist needs to be complemented with methodologic and data-analysis triangulation. A procedural approach needs to be followed in which each comparative step of the triangulation is documented. 25 A triangulation protocol or a mixed-methods matrix can be used for this purpose. 26 If there is a word limit in a publication, the triangulation protocol or mixed-methods matrix needs to be identified. A schematic representation of methodologic and data-analysis triangulation in case studies can be found in Figure 2 .
Schematic representation of methodologic and data-analysis triangulation in case studies (own work).
This study suffered from several limitations that must be acknowledged. Given the nature of scoping reviews, we did not analyze the evidence reported in the studies. However, 2 reviewers independently reviewed all the full-text reports with respect to the inclusion criteria. The focus on the primary care setting with NPs (master’s degree) was very narrow, and only a few studies qualified. Thus, possible important methodological aspects that would have contributed to answering the questions were omitted. Studies describing the triangulation of 2 or more quantitative data-collection procedures could not be included in this scoping review due to the inclusion and exclusion criteria.
Given the various processes described for methodologic and data-analysis triangulation, we can conclude that triangulation in case studies is poorly standardized. Consequently, the traceability of the research process is not always given. Triangulation is complicated by the confusion of terminology. To advance case study research in nursing, we encourage authors to reflect critically on methodologic and data-analysis triangulation and use existing tools, such as the triangulation protocol or mixed-methods matrix and the reporting guideline checklist by Rodgers et al, 9 to ensure more transparent reporting.
Acknowledgments.
The authors thank Simona Aeschlimann for her support during the screening process.
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.
Supplemental Material: Supplemental material for this article is available online.
Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Nature Methods ( 2024 ) Cite this article
1039 Accesses
10 Altmetric
Metrics details
Single-cell RNA-sequencing and spatial transcriptomics data enable the inference of how information is transmitted from one cell to another and how it modulates gene expression within cells. Now, a learning method infers networks describing how the inflow of one signal, mediated by intracellular gene modules, drives the outflow of other signals for intercellular communication.
This is a preview of subscription content, access via your institution
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
24,99 € / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
251,40 € per year
only 20,95 € per issue
Buy this article
Prices may be subject to local taxes which are calculated during checkout
Armingol, E., Baghdassarian, H. M. & Lewis, N. E. The diversification of methods for studying cell–cell interactions and communication. Nat. Rev. Genet. 25 , 381–400 (2024). A review on methods to infer cell–cell communication from single-cell and spatial transcriptomics.
Article CAS PubMed Google Scholar
Welch, J. D. et al. Single-cell multi-omic integration compares and contrasts features of brain cell identity. Cell 177 , 1873–1887 (2019). This paper presents a method to infer gene expression modules from multi-condition scRNA-seq data.
Article CAS PubMed PubMed Central Google Scholar
Sachs, K. et al. Causal protein-signaling networks derived from multiparameter single-cell data. Science 308 , 523–529 (2005). This paper applies a graphical model learning method to single-cell flow cytometry data to discover a directed signaling network.
Squires, C., Wang, Y. & Uhler, C. Permutation-based causal structure learning with unknown intervention targets. Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI) 124 , 1039–1048 (2020). This paper develops a graphical model learning method that can handle both control datasets and datasets in which the perturbed targets are unknown.
Wang, L. et al. Dictys: dynamic gene regulatory network dissects developmental continuum with single-cell multiomics. Nat. Methods 20 , 1368–1378 (2023). A paper that uses a stochastic differential equations approach to infer dynamic gene regulatory networks from scRNA-seq and scATAC-seq data.
Download references
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This is a summary of: Almet, A. A., Tsai, Y.-C., Watanabe, M. & Nie, Q. Inferring pattern-driving intercellular flows from single-cell and spatial transcriptomics. Nat. Methods https://doi.org/10.1038/s41592-024-02380-w (2024).
Reprints and permissions
Cite this article.
A structural learning method to uncover how information between single cells flows. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02381-9
Download citation
Published : 26 August 2024
DOI : https://doi.org/10.1038/s41592-024-02381-9
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.
27 Accesses
Explore all metrics
The mortality rate in patients with heart failure complicated by cardiogenic shock following acute myocardial infarction (AMI) remains high, prompting research on mechanical circulatory support. Improved mortality rates have been reported with the early introduction of EcMELLA (Impella combined with extracorporeal membrane oxygenation, ECMO). However, clear indications for this treatment have not been established, given the associated risks and limitations related to access routes. Left ventricular thrombosis is traditionally considered a contraindication for Impella use. A 74-year-old man without specific medical history or coronary risk factors was diagnosed with Forrester IV heart failure due to cardiogenic shock complicated by AMI and left ventricular thrombosis. The patient underwent emergency coronary artery bypass surgery, intracardiac thrombus removal, and Dor surgery. Following cardiopulmonary bypass, ongoing heart failure was observed, necessitating the implementation of EcMELLA for circulatory support. Preoperative computed tomography showed that the bilateral subclavian arteries were too narrow (< 7 mm) and anatomically unsuitable for traditional access methods. Thus, we introduced a single-access EcMELLA 5.5, through which the Impella was introduced and veno-arterial-ECMO blood was delivered from a single artificial vessel anastomosed to the brachiocephalic artery. The patient was weaned off veno-arterial-ECMO and extubated on postoperative day 3. By postoperative day 14, improved cardiac function allowed for Impella removal. The patient was discharged on postoperative day 31 with improved ambulation; thereafter, the patient returned to work. Thus, the single-access EcMELLA5.5 treatment strategy combined with Dor procedure was effective in left ventricular thrombosis in patients with heart failure with cardiogenic shock complicated by AMI.
This is a preview of subscription content, log in via an institution to check access.
Subscribe and save.
Price includes VAT (Russian Federation)
Instant access to the full article PDF.
Rent this article via DeepDyve
Institutional subscriptions
Explore related subjects.
van Diepen S, Katz JN, Albert NM, Henry TD, Jacobs AK, Kapur NK. A scientific statement from the American Heart Association. Contemporary management of cardiogenic shock. Circulation. 2017;136:e232–68.
PubMed Google Scholar
Willekes CL, Fanning JS, Heiser JC, Sang SL, Timek TA, Parker J, et al. Randomized feasibility trial of prophylactic radiofrequency ablation to prevent atrial fibrillation after cardiac surgery. J Thorac Cardiovasc Surg. 2024;167:2129-35.e1.
Article PubMed Google Scholar
Vallabhajosyula S, O’Horo JC, Antharam P, Ananthaneni S, Vallabhajosyula S, John M, et al. Venoarterial extracorporeal membrane oxygenation with concomitant Impella versus venoarterial extracorporeal membrane oxygenation for cardiogenic shock. ASAIO J. 2020;66:497–503.
Kimura Y, Kondo T, Mutsuga M, Morimoto R, Kazama S, Shibata N, et al. Impella 5.0 for cardiogenic shock after thrombectomy in a patient with intraventricular thrombosis. Can J Cardiol. 2020;36:1690.e13-e5.
Schrage B, Becher PM, Bernhardt A, Bezerra H, Blankenberg S, Brunner S, et al. Left ventricular unloading is associated with lower mortality in patients with cardiogenic shock treated with venoarterial extracorporeal membrane oxygenation results from an international, multicenter cohort study. Circulation. 2020;142:2095–106.
Article CAS PubMed PubMed Central Google Scholar
Tadokoro N, Tonai K, Kainuma S, Fukushima S. Single-vessel access venoarteial extracorporeal membrane oxygenation and Impella technique for acute cardiogenic shock complicated by lung congestion. Interdiscip CardioVasc Thorac Surg. 2023;37:ivad201.
PubMed PubMed Central Google Scholar
Bitargil M, Pham S, Haddad O, Sareyyupoglu B. Single arterial access for Ecpella and jugular venous cannulation provides full mobility on a status 1 heart transplant recipient. ESC Heart Fail. 2022;9:2003–6.
Article PubMed PubMed Central Google Scholar
Download references
We thank Editage for editing a draft of this manuscript.
Authors and affiliations.
Department of Cardiac Surgery, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
Rieko Kutsuzawa, Naoki Tadokoro, Satoshi Kainuma, Naonori Kawamoto, Kouta Suzuki, Ayumi Ikuta, Kohei Tonai, Masaya Hirayama & Satsuki Fukushima
Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
Yoshiyuki Tomishima & Yasuhide Asaumi
Department of Cardiovascular Surgery, National Cerebral and Cardiovascular Center, Kishibe-shimmachi, 6-1, Suita, Osaka, 564-8565, Japan
Naoki Tadokoro & Satsuki Fukushima
You can also search for this author in PubMed Google Scholar
Conceptualization: Rieko Kutsuzawa and Naoki Tadokoro; methodology: Rieko Kutsuzawa, Naonori Kawamoto, Kota Suzuki, Ayumi Ikuta, Kohei Tonai, and Masaya Hirayama; data collection: Yoshiyuki Tomishima, Yoshiyuki Tomishima; writing—original draft preparation: Rieko Kutsuzawa; writing—review and editing: Naoki Tadokoro, Satoshi Kainuma, Yasuhide Asaumi, and Satsuki Fukushima; supervision: Satsuki Fukushima.
Correspondence to Naoki Tadokoro or Satsuki Fukushima .
Conflict of interest, ethics approval and consent to participate.
The patient in this study gave informed consent, which was approved by the NCVC Review Board (approval number: M30-026–5; approval date: 24 February 2022); this protocol has been found acceptable by them.
The patient consented to the submission of the case report to the journal.
Publisher's note.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Reprints and permissions
Kutsuzawa, R., Tadokoro, N., Kainuma, S. et al. A case of successful surgical treatment of left ventricular thrombus associated with acute myocardial infarction by Impella combined with extracorporeal membrane oxygenation approach. J Artif Organs (2024). https://doi.org/10.1007/s10047-024-01469-5
Download citation
Received : 10 June 2024
Accepted : 12 August 2024
Published : 26 August 2024
DOI : https://doi.org/10.1007/s10047-024-01469-5
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
IMAGES
VIDEO
COMMENTS
The purpose of this article is to describe single-case studies, and contrast them with case studies and randomized clinical trials. We will highlight current research designs, analysis techniques, and quality appraisal tools relevant for single-case rehabilitation ...
Although consensus exists along key dimensions of single-case research design and researchers appear to be practicing within these parameters, there remains a need for further evaluation of assessment and sampling techniques and data analytic methods. Keywords: daily diary, single-case experimental design, systematic review, time-series
Single-case designs (also called single-case experimental designs) are system of research design strategies that can provide strong evidence of intervention effectiveness by using repeated measurement to establish each participant (or case) as his or her own control. Although the methods were initially developed as tools for studying basic ...
This chapter addresses the peculiarities, characteristics, and major fallacies of single case research designs. A single case study research design is a collective term for an in-depth analysis of a small non-random sample. The focus on this design is on in-depth....
This book is a compendium of tools and information for researchers considering single-case design (SCD) research, a newly viable and often essential methodology in applied psychology, education, and related fields.
Abstract. Single-case experimental designs (SCEDs) represent a family of research designs that use experimental methods to study the effects of treatments on outcomes. The fundamental unit of analysis is the single case—which can be an individual, clinic, or community—ideally with replications of effects within and/or between cases.
Single Case Research (SCR) is also known as single-case experimental design (SCED). This is a research methodology using a single unit of analysis and characterized by repeated measures over time. Welcome to the SCR website designed to provide free calculators and source information on analysis methods including published papers, manuscripts in ...
Abstract Single-case experimental designs (SCEDs) represent a family of research designs that use experimental methods to study the effects of treatments on outcomes. The fundamental unit of analysis is the single case—which can be an individual, clinic, or community—ideally with replications of effects within and/or between cases.
Tactics of Scientific Research (Sidman, 1960) provides a visionary treatise on single-case designs, their scientific underpinnings, and their critical role in understanding behavior. Since the founda...
Single-Case Research Designs: Methods for Clinical and Applied Settings. Now thoroughly updated in its second edition, acclaimed author Alan E. Kazdin's Single-Case Research Designs provides a notable contrast to the quantitative methodology approach that pervades the biological and social sciences.
ABSTRACT. Single Case Research Methodology, 3 rd Edition presents a thorough, technically sound, user-friendly, and comprehensive discussion of single case research methodology. This book can serve as a detailed and complex reference tool for students, researchers, and practitioners who intend to conduct single case research design studies ...
Single-case research has played an important role in developing and evaluating interventions that are designed to alter a particular facet of human functioning. Now thoroughly updated in its second edition, acclaimed author Alan Kazdin's Single-Case Research Designs provides a notable contrast to the quantitative methodology approach that pervades the biological and social sciences. While ...
Single-Case Research Methods for the Behavioral and Health Sciences. baseline, clients, decision making, health sciences, managed care, population, …. This text introduces readers to the history, epistemology, and strategies of single-case research design. The authors offer concrete information on how to observe, measure, and interpret change ...
In summary, the various forms of single case study analysis can - through the application of multiple qualitative and/or quantitative research methods - provide a nuanced, empirically-rich, holistic account of specific phenomena.
Single-case research has played an important role in developing and evaluating interventions that are designed to alter a particular facet of human functioning. Now thoroughly updated in its second edition, acclaimed author Alan E. Kazdin's Single-Case Research Designs provides a notable contrast to the quantitative methodology approach that pervades the biological and social sciences. While ...
Abstract Mixed methods single case research (MMSCR) is research in which single case experimental and qualitative case study methodologies, and their accompanying sets of methods and techniques, are integrated to answer research questions that concern a single case. This article discusses the historical roots and the distinct nature of MMSCR, the kinds of knowledge MMSCR produces, its ...
Now thoroughly updated in its third edition, acclaimed author Alan E. Kazdin's Single-Case Research Designs provides a notable contrast to the quantitative methodology approach that pervades the biological and social sciences.
Abstract A case study is one of the most commonly used methodologies of social research. This article attempts to look into the various dimensions of a case study research strategy, the different epistemological strands which determine the particular case study type and approach adopted in the field, discusses the factors which can enhance the effectiveness of a case study research, and the ...
With this special issue the editors have challenged authors to articulate the advances in research design and data analysis that will be needed if single-case methods are to meet these emerging expectations. Each recruited article delves into a specific avenue of concern for advancing the use of single-case methods.
This paper presents a historical and conceptual analysis of a group of research strategies known as the Single-Case Methods (SCMs). First, we present an overview of the SCMs, their history, and their major proponents. We will argue that the philosophical roots of SCMs can be found in the ideas of au …
Single-case experimental designs (SCEDs) have become a popular research methodology in educational science, psychology, and beyond. The growing popularity has been accompanied by the development of specific guidelines for the conduct and analysis of SCEDs. In this paper, we examine recent practices in the conduct and analysis of SCEDs by systematically reviewing applied SCEDs published over a ...
This chapter addresses single-case research designs’ peculiarities, characteristics, and significant fallacies. A single case research design is a collective term for an in-depth analysis of a small non-random sample. The focus of this design is in-depth. This...
Now thoroughly updated in its second edition, acclaimed author Alan E. Kazdin's Single-Case Research Designs provides a notable contrast to the quantitative methodology approach that pervades the biological and social sciences.
Therefore, many researchers have optimized mine ventilation [10,11].For example, S. A. Kozyrev [] uses modern mathematical methods to improve the automatic design planning of mine ventilation systems and discusses the prospect of genetic methods for analyzing alternative ventilation systems in the design stage.In addition, new monitoring technology greatly facilitates the monitoring of mine ...
A case study relies on multiple sources of evidence, with data needing to converge in a triangulating fashion." 1(p15) This design is described as a stand-alone research approach equivalent to grounded theory and can entail single and multiple cases. 1,2 However, case study research should not be confused with single clinical case reports.
Research Briefing; Published: 26 August 2024; ... This paper applies a graphical model learning method to single-cell flow cytometry data to discover a directed signaling network.
Preoperative computed tomography showed that the bilateral subclavian arteries were too narrow (< 7 mm) and anatomically unsuitable for traditional access methods. Thus, we introduced a single-access EcMELLA 5.5, through which the Impella was introduced and veno-arterial-ECMO blood was delivered from a single artificial vessel anastomosed to ...