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      Factors affecting primary care physician decision-making for patients with complex multimorbidity: a qualitative interview study

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          Abstract

          Background

          Patients with multiple chronic conditions (multimorbidity) and additional psychosocial complexity are at higher risk of adverse outcomes. Establishing treatment or care plans for these patients must account for their disease interactions, finite self-management abilities, and even conflicting treatment recommendations from clinical practice guidelines. Despite existing insight into how primary care physicians (PCPs) approach care decisions for their patients in general, less is known about how PCPs make care planning decisions for more complex populations particularly within a medical home setting. We therefore sought to describe factors affecting physician decision-making when care planning for complex patients with multimorbidity within the team-based, patient-centered medical home setting in the integrated healthcare system of the U.S. Department of Veterans Affairs, the Veterans Health Administration (VHA).

          Methods

          This was a qualitative study involving semi-structured telephone interviews with PCPs working > 40% time in VHA clinics. Interviews were conducted from April to July, 2020. Content was analyzed with deductive and inductive thematic analysis.

          Results

          23 physicians participated in interviews; most were MDs ( n = 21) and worked in hospital-affiliated clinics ( n = 14) across all regions of the VHA’s national clinic network. We found internal, external, and relationship-based factors, with developed subthemes describing factors affecting decision-making for complex patients with multimorbidity. Physicians described tailoring decisions to individual patients; making decisions in keeping with an underlying internal style or habit; working towards an overarching goal for care; considering impacts from patient access and resources on care plans; deciding within boundaries provided by organizational structures; collaborating on care plans with their care team; and impacts on decisions from their own emotions and relationship with patient.

          Conclusions

          PCPs described internal, external, and relationship-based factors that affected their care planning for high-risk and complex patients with multimorbidity in the VHA. Findings offer useful strategies employed by physicians to effectively conduct care planning for complex patients in a medical home setting, such as delegation of follow-up within multidisciplinary care teams, optimizing visit time vs frequency, and deliberate investment in patient-centered relationship building to gain buy-in to care plans.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12875-022-01633-x.

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          Most cited references43

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          Standards for reporting qualitative research: a synthesis of recommendations.

          Standards for reporting exist for many types of quantitative research, but currently none exist for the broad spectrum of qualitative research. The purpose of the present study was to formulate and define standards for reporting qualitative research while preserving the requisite flexibility to accommodate various paradigms, approaches, and methods.
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            An Integrative Model of Patient-Centeredness – A Systematic Review and Concept Analysis

            Background Existing models of patient-centeredness reveal a lack of conceptual clarity. This results in a heterogeneous use of the term, unclear measurement dimensions, inconsistent results regarding the effectiveness of patient-centered interventions, and finally in difficulties in implementing patient-centered care. The aim of this systematic review was to identify the different dimensions of patient-centeredness described in the literature and to propose an integrative model of patient-centeredness based on these results. Methods Protocol driven search in five databases, combined with a comprehensive secondary search strategy. All articles that include a definition of patient-centeredness were eligible for inclusion in the review and subject to subsequent content analysis. Two researchers independently first screened titles and abstracts, then assessed full texts for eligibility. In each article the given definition of patient-centeredness was coded independently by two researchers. We discussed codes within the research team and condensed them into an integrative model of patient-centeredness. Results 4707 records were identified through primary and secondary search, of which 706 were retained after screening of titles and abstracts. 417 articles (59%) contained a definition of patient-centeredness and were coded. 15 dimensions of patient-centeredness were identified: essential characteristics of clinician, clinician-patient relationship, clinician-patient communication, patient as unique person, biopsychosocial perspective, patient information, patient involvement in care, involvement of family and friends, patient empowerment, physical support, emotional support, integration of medical and non-medical care, teamwork and teambuilding, access to care, coordination and continuity of care. In the resulting integrative model the dimensions were mapped onto different levels of care. Conclusions The proposed integrative model of patient-centeredness allows different stakeholders to speak the same language. It provides a foundation for creating better measures and interventions. It can also be used to inform the development of clinical guidance documents and health policy directives, and through this support the shift towards patient-centered health care.
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              Interventions for improving outcomes in patients with multimorbidity in primary care and community settings.

              Many people with chronic disease have more than one chronic condition, which is referred to as multimorbidity. The term comorbidity is also used but this is now taken to mean that there is a defined index condition with other linked conditions, for example diabetes and cardiovascular disease. It is also used when there are combinations of defined conditions that commonly co-exist, for example diabetes and depression. While this is not a new phenomenon, there is greater recognition of its impact and the importance of improving outcomes for individuals affected. Research in the area to date has focused mainly on descriptive epidemiology and impact assessment. There has been limited exploration of the effectiveness of interventions to improve outcomes for people with multimorbidity.
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                Author and article information

                Contributors
                linnaea.schuttner@va.gov
                Journal
                BMC Prim Care
                BMC Prim Care
                BMC Primary Care
                BioMed Central (London )
                2731-4553
                5 February 2022
                5 February 2022
                2022
                : 23
                : 25
                Affiliations
                [1 ]GRID grid.484215.e, Health Services Research & Development, VA Puget Sound Health Care System, ; 1660 S Columbian Way, Seattle, Washington, 98108 USA
                [2 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Medicine, , University of Washington, ; Seattle, WA USA
                [3 ]GRID grid.410347.5, Comprehensive Access & Delivery Research and Evaluation (CADRE) Center, VA Iowa City Health Care System, ; Iowa City, IA USA
                [4 ]GRID grid.214572.7, ISNI 0000 0004 1936 8294, Carver College of Medicine, , University of Iowa, ; Iowa City, IA USA
                [5 ]GRID grid.488833.c, ISNI 0000 0004 0615 7519, Kaiser Permanente Washington Health Research Institute, ; Seattle, WA USA
                [6 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Health Systems and Population Health, , University of Washington School of Public Health, ; Seattle, WA USA
                [7 ]GRID grid.413935.9, ISNI 0000 0004 0420 3665, VA Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, ; Pittsburgh, PA USA
                [8 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Department of Medicine, , University of Pittsburgh, ; Pittsburgh, PA USA
                [9 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Urology, , University of Washington, ; Seattle, WA USA
                Article
                1633
                10.1186/s12875-022-01633-x
                8817776
                35123398
                c76071e2-ad55-4102-8dd2-4c62952594ba
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 25 June 2021
                : 24 January 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                multimorbidity,veterans,primary care,qualitative research,clinical decision-making

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