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Kidanemariam M, Graner MA, Bos WJW, Schroijen MA, de Koning EJP, Stiggelbout AM, Pieterse AH, Kunneman M. Patient-clinician collaboration in making care fit: A qualitative analysis of clinical consultations in diabetes care. PATIENT EDUCATION AND COUNSELING 2024; 125:108295. [PMID: 38749345 DOI: 10.1016/j.pec.2024.108295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 03/26/2024] [Accepted: 04/18/2024] [Indexed: 05/26/2024]
Abstract
OBJECTIVE To confirm described dimensions of making care fit and explore how patients and clinicians collaborate to make care fit in clinical practice. METHODS As part of an ongoing study, we audiotaped and transcribed patient-clinician consultations in diabetes care. We purposively selected consultations based on participants' demographical, biomedical and biographical characteristics. We analysed transcripts using reflexive thematic analysis. We combined a deductive and inductive approach, using the pre-described dimensions of making care fit and adding new (sub-)dimensions when pertinent. RESULTS We analysed 24 clinical consultations. Our data confirmed eight previously described dimensions and provided new sub-dimensions of making care fit with examples from clinical practice (problematic situation, influence of devices, sense of options, shared agenda setting, clinician context, adapting to changing organization of care, and possibility to reconsider). CONCLUSION Our study confirmed, specified and enriched the conceptualization of making care fit through practice examples. We observed patient-clinician collaboration in exploration of patients' context, and by responsively changing, adapting or maintaining care plans. PRACTICE IMPLICATIONS Our findings support clinicians and researchers with insights in important aspects of patient-clinician collaboration. Ultimately, this would lead to optimal design of care plans that fit well in each patient life.
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Affiliation(s)
- Martha Kidanemariam
- Medical Decision making, Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Willem Jan W Bos
- Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands; Department of Internal Medicine, Sint-Antonius Hospital, Nieuwegein, the Netherlands
| | - Marielle A Schroijen
- Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Eelco J P de Koning
- Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Anne M Stiggelbout
- Medical Decision making, Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands; Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Arwen H Pieterse
- Medical Decision making, Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Marleen Kunneman
- Medical Decision making, Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands; Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA.
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Mandhana DM, Jacome CS, Ballard DI, Tesfai Y, Johnson SB, Gionfriddo MR, Espinoza Suarez NR, Perneth SA, Su L, Montori VM. Developing and validating the Unhurried Conversations Assessment Tool (UCAT). PATIENT EDUCATION AND COUNSELING 2024; 123:108237. [PMID: 38461793 DOI: 10.1016/j.pec.2024.108237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/29/2024] [Accepted: 02/29/2024] [Indexed: 03/12/2024]
Abstract
OBJECTIVE Given the importance of unhurried conversations for providing careful and kind care, we sought to create, test, and validate the Unhurried Conversations Assessment Tool (UCAT) for assessing the unhurriedness of patient-clinician consultations. METHODS In the first two phases, the unhurried conversation dimensions were identified and transformed into an assessment tool. In the third phase, two independent raters used UCAT to evaluate the unhurriedness of 100 randomly selected consultations from 184 videos recorded for a large research trial. UCAT's psychometric properties were evaluated using this data. RESULTS UCAT demonstrates content validity based on the literature and expert review. EFA and reliability analyses confirm its construct validity and internal consistency. The seven formative dimensions account for 89.93% of the variance in unhurriedness, each displaying excellent internal consistency (α > 0.90). Inter-rater agreement for the overall assessment item was fair (ICC = 0.59), with individual dimension ICCs ranging from 0.26 (poor) to 0.95 (excellent). CONCLUSION UCAT components comprehensively assess the unhurriedness of consultations. The tool exhibits content and construct validity and can be used reliably. PRACTICE IMPLICATIONS UCAT's design and psychometric properties make it a practical and efficient tool. Clinicians can use it for self-evaluations and training to foster unhurried conversations.
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Affiliation(s)
- Dron M Mandhana
- Department of Communication, Villanova University, Villanova, PA, USA; Knowledge & Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN, USA
| | - Cristian Soto Jacome
- Knowledge & Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN, USA; Norwalk Hospital, Department of Internal Medicine, Nuvance Health, Norwalk, CT, USA
| | - Dawna I Ballard
- Knowledge & Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN, USA; Department of Communication Studies, The University of Texas at Austin, Austin, TX, USA
| | - Yohanna Tesfai
- Department of Communication Studies, The University of Texas at Austin, Austin, TX, USA
| | - Sarah B Johnson
- Knowledge & Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN, USA
| | - Michael R Gionfriddo
- Division of Pharmaceutical, Administrative, and Social Sciences, School of Pharmacy, Duquesne University, Pittsburgh, PA, USA
| | - Nataly R Espinoza Suarez
- Knowledge & Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN, USA; VITAM - Centre for Sustainable Health Research, Integrated University Health and Social Services Center of Capitale-Nationale, Quebec City, QC, Canada; Faculty of Nursing, Laval University, Quebec City, QC, Canada
| | - Sandra Algarin Perneth
- Knowledge & Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN, USA; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Lillian Su
- Division of Cardiovascular Intensive Care Medicine, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Victor M Montori
- Knowledge & Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN, USA.
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León-García M, Wieringa TH, Espinoza Suárez NR, Hernández-Leal MJ, Villanueva G, Singh Ospina N, Hidalgo J, Prokop LJ, Rocha Calderón C, LeBlanc A, Zeballos-Palacios C, Brito JP, Montori VM. Does the duration of ambulatory consultations affect the quality of healthcare? A systematic review. BMJ Open Qual 2023; 12:e002311. [PMID: 37875307 PMCID: PMC10603464 DOI: 10.1136/bmjoq-2023-002311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 09/23/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND The objective is to examine and synthesise the best available experimental evidence about the effect of ambulatory consultation duration on quality of healthcare. METHODS We included experimental studies manipulating the length of outpatient clinical encounters between adult patients and clinicians (ie, therapists, pharmacists, nurses, physicians) to determine their effect on quality of care (ie, effectiveness, efficiency, timeliness, safety, equity, patient-centredness and patient satisfaction). INFORMATION SOURCES Using controlled vocabulary and keywords, without restriction by language or year of publication, we searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials and Database of Systematic Reviews and Scopus from inception until 15 May 2023. RISK OF BIAS Cochrane Risk of Bias instrument. DATA SYNTHESIS Narrative synthesis. RESULTS 11 publications of 10 studies explored the relationship between encounter duration and quality. Most took place in the UK's general practice over two decades ago. Study findings based on very sparse and outdated evidence-which suggested that longer consultations improved indicators of patient-centred care, education about prevention and clinical referrals; and that consultation duration was inconsistently related to patient satisfaction and clinical outcomes-warrant low confidence due to limited protections against bias and indirect applicability to current practice. CONCLUSION Experimental evidence for a minimal or optimal duration of an outpatient consultation is sparse and outdated. To develop evidence-based policies and practices about encounter length, randomised trials of different consultation lengths-in person and virtually, and with electronic health records-are needed. TRIAL REGISTRATION NUMBER OSF Registration DOI:10.17605/OSF.IO/EUDK8.
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Affiliation(s)
- Montserrat León-García
- Biomedical Research Institute Sant Pau (IIB Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain
- Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Thomas H Wieringa
- Medical Decision Making, Department of Biomedical Data Sciences, Leiden University, Leiden, Netherlands
| | - Nataly R Espinoza Suárez
- Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
- VITAM Research Center for Sustainable Health, Quebec Integrated University Health and Social Services; Faculty of Medicine, Université Laval, Quebec, Quebec, Canada
| | - María José Hernández-Leal
- Department of Economics. Research Centre on Economics and Sustainability (ECO-SOS). Research Group on Statistics, Economic Evaluation and Health (GRAEES), Faculty of Business and Economics. Rovira i Virgili University, Reus, Spain
| | - Gemma Villanueva
- Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain
- Cochrane Response, London, UK
| | - Naykky Singh Ospina
- Division of Endocrinology, Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Jessica Hidalgo
- Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Larry J Prokop
- Mayo Clinic Libraries, Mayo Clinic, Mayo Clinic, Rochester, Minnesota, USA
| | - Claudio Rocha Calderón
- Department of Preventive Medicine, University Hospital of Bellvitge, IDIBELL, Barcelona, Catalunya, Spain
| | - Annie LeBlanc
- VITAM Research Center for Sustainable Health, Quebec Integrated University Health and Social Services; Faculty of Medicine, Université Laval, Quebec, Quebec, Canada
| | - Claudia Zeballos-Palacios
- Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Juan Pablo Brito
- Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Victor M Montori
- Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
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Golembiewski EH, Espinoza Suarez NR, Maraboto Escarria AP, Yang AX, Kunneman M, Hassett LC, Montori VM. Video-based observation research: A systematic review of studies in outpatient health care settings. PATIENT EDUCATION AND COUNSELING 2023; 106:42-67. [PMID: 36207219 DOI: 10.1016/j.pec.2022.09.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 09/13/2022] [Accepted: 09/30/2022] [Indexed: 06/16/2023]
Abstract
OBJECTIVE To examine the use of video-based observation research in outpatient health care encounter research. METHODS We conducted a systematic search of MEDLINE, Scopus, Cochrane and other databases from database inception to October 2020 for reports of studies that used video recording to investigate ambulatory patient-clinician interactions. Two authors independently reviewed all studies for eligibility and extracted information related to study setting and purpose, participant recruitment and consent processes, data collection procedures, method of analysis, and participant sample characteristics. RESULTS 175 articles were included. Most studies (65%) took place in a primary care or family practice setting. Study objectives were overwhelmingly focused on patient-clinician communication (81%). Reporting of key study elements was inconsistent across included studies. CONCLUSION Video recording has been used as a research method in outpatient health care in a limited number and scope of clinical contexts and research domains. In addition, reporting of study design, methodological characteristics, and ethical considerations needs improvement. PRACTICE IMPLICATIONS Video recording as a method has been relatively underutilized within many clinical and research contexts. This review will serve as a practical resource for health care researchers as they plan and execute future video-based studies.
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Affiliation(s)
| | - Nataly R Espinoza Suarez
- Knowledge and Evaluation Research (KER) Unit Mayo Clinic Rochester, MN, USA; Department of Family Medicine and Emergency Medicine Laval University Quebec, Canada.
| | - Andrea P Maraboto Escarria
- Knowledge and Evaluation Research (KER) Unit Mayo Clinic Rochester, MN, USA; Department of Obstetrics and Gynecology Hospital Angeles Lomas Mexico City, Mexico.
| | - Andrew X Yang
- Mayo Clinic Alix School of Medicine Rochester, MN, USA.
| | - Marleen Kunneman
- Knowledge and Evaluation Research (KER) Unit Mayo Clinic Rochester, MN, USA; Medical Decision Making, Department of Biomedical Data Sciences Leiden University Medical Center Leiden, the Netherlands.
| | - Leslie C Hassett
- Division of Endocrinology, Diabetes, Metabolism and Nutrition Department of Medicine Mayo Clinic, Rochester, MN, USA.
| | - Victor M Montori
- Knowledge and Evaluation Research (KER) Unit Mayo Clinic Rochester, MN, USA; Mayo Clinic Libraries Mayo Clinic, Rochester, MN, USA.
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