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      Trust in the health care professional and health outcome: A meta-analysis

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          Abstract

          Objective

          To examine whether patients’ trust in the health care professional is associated with health outcomes.

          Study selection

          We searched 4 major electronic databases for studies that reported quantitative data on the association between trust in the health care professional and health outcome. We screened the full-texts of 400 publications and included 47 studies in our meta-analysis.

          Data extraction and data synthesis

          We conducted random effects meta-analyses and meta-regressions and calculated correlation coefficients with corresponding 95% confidence intervals. Two interdependent researchers assessed the quality of the included studies using the Strengthening the Reporting of Observational Studies in Epidemiology guidelines.

          Results

          Overall, we found a small to moderate correlation between trust and health outcomes (r = 0.24, 95% CI: 0.19–0.29). Subgroup analyses revealed a moderate correlation between trust and self-rated subjective health outcomes (r = 0.30, 0.24–0.35). Correlations between trust and objective (r = -0.02, -0.08–0.03) as well as observer-rated outcomes (r = 0.10, -0.16–0.36) were non-significant. Exploratory analyses showed a large correlation between trust and patient satisfaction and somewhat smaller correlations with health behaviours, quality of life and symptom severity. Heterogeneity was small to moderate across the analyses.

          Conclusions

          From a clinical perspective, patients reported more beneficial health behaviours, less symptoms and higher quality of life and to be more satisfied with treatment when they had higher trust in their health care professional. There was evidence for upward bias in the summarized results. Prospective studies are required to deepen our understanding of the complex interplay between trust and health outcomes.

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          Most cited references21

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          How does communication heal? Pathways linking clinician-patient communication to health outcomes.

          Although prior research indicates that features of clinician-patient communication can predict health outcomes weeks and months after the consultation, the mechanisms accounting for these findings are poorly understood. While talk itself can be therapeutic (e.g., lessening the patient's anxiety, providing comfort), more often clinician-patient communication influences health outcomes via a more indirect route. Proximal outcomes of the interaction include patient understanding, trust, and clinician-patient agreement. These affect intermediate outcomes (e.g., increased adherence, better self-care skills) which, in turn, affect health and well-being. Seven pathways through which communication can lead to better health include increased access to care, greater patient knowledge and shared understanding, higher quality medical decisions, enhanced therapeutic alliances, increased social support, patient agency and empowerment, and better management of emotions. Future research should hypothesize pathways connecting communication to health outcomes and select measures specific to that pathway. Clinicians and patients should maximize the therapeutic effects of communication by explicitly orienting communication to achieve intermediate outcomes (e.g., trust, mutual understanding, adherence, social support, self-efficacy) associated with improved health.
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            A meta-analysis of the association between adherence to drug therapy and mortality.

            To evaluate the relation between adherence to drug therapy, including placebo, and mortality. Meta-analysis of observational studies. Electronic databases, contact with investigators, and textbooks and reviews on adherence. Review methods Predefined criteria were used to select studies reporting mortality among participants with good and poor adherence to drug therapy. Data were extracted for disease, drug therapy groups, methods for measurement of adherence rate, definition for good adherence, and mortality. Data were available from 21 studies (46,847 participants), including eight studies with placebo arms (19,633 participants). Compared with poor adherence, good adherence was associated with lower mortality (odds ratio 0.56, 95% confidence interval 0.50 to 0.63). Good adherence to placebo was associated with lower mortality (0.56, 0.43 to 0.74), as was good adherence to beneficial drug therapy (0.55, 0.49 to 0.62). Good adherence to harmful drug therapy was associated with increased mortality (2.90, 1.04 to 8.11). Good adherence to drug therapy is associated with positive health outcomes. Moreover, the observed association between good adherence to placebo and mortality supports the existence of the "healthy adherer" effect, whereby adherence to drug therapy may be a surrogate marker for overall healthy behaviour.
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              Measuring patients' trust in their primary care providers.

              Existing scales to measure trust in physicians have differing content and limited testing. To improve on these measures, a detailed conceptual model was constructed and a large item pool (n = 78) was generated following a detailed conceptual model and expert review. After pilot testing, the best-performing items were validated with a random national sample (n = 959) and a regional sample of HMO members (n =1,199). Various psychometric tests produced a 10-item unidimensional scale consistent with most aspects of the conceptual model. Compared with previous scales, the Wake Forest physician trust scale has a somewhat improved combination of internal consistency, variability, and discriminability. The scale is more strongly correlated with satisfaction, desire to remain with a physician, willingness to recommend to friends, and not seeking second opinions; it is less correlated with insurer trust, membership in managed care, and choice of physician. Correlations are equivalent with lack of disputes, length of relationship, and number of visits [corrected].
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                7 February 2017
                2017
                : 12
                : 2
                : e0170988
                Affiliations
                [1 ]Clinical Psychology and Psychotherapy, Department of Psychology, University of Basel, Basel, Switzerland
                [2 ]Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children’s Hospital/Harvard Medical School, Boston, Massachusetts, United States of America
                [3 ]Program in Placebo Studies and the Therapeutic Encounter, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America
                [4 ]Collegium Helveticum, University of Zurich and ETH Zurich, Zurich, Switzerland
                University of Marburg, GERMANY
                Author notes

                Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests:the authors declare that they have published on the topic of context effects before. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

                • Conceptualization: PK JG JK HG JB.

                • Data curation: JB.

                • Formal analysis: JB HG.

                • Funding acquisition: JB HG.

                • Investigation: SH CW JB.

                • Methodology: JB HG.

                • Project administration: JB HG.

                • Resources: JG.

                • Supervision: HG JG.

                • Visualization: JB HG JG.

                • Writing – original draft: JB.

                • Writing – review & editing: HG JG JK.

                Author information
                http://orcid.org/0000-0003-4815-4650
                Article
                PONE-D-16-37935
                10.1371/journal.pone.0170988
                5295692
                28170443
                f340471d-c630-4e5a-81de-2e3a86feb2ea
                © 2017 Birkhäuer et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 21 September 2016
                : 13 January 2017
                Page count
                Figures: 1, Tables: 3, Pages: 13
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001711, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung;
                Award ID: P0BSP1_155446
                Award Recipient :
                Johanna Birkhäuer's contributions to this study were supported by the Swiss National Science Foundation ( http://www.snf.ch), grant project (P0BSP1_155446). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Meta-Analysis
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Meta-Analysis
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Research and Analysis Methods
                Research Design
                Survey Research
                Questionnaires
                Medicine and Health Sciences
                Health Care
                Quality of Life
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Allied Health Care Professionals
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Medical Doctors
                Physicians
                People and Places
                Population Groupings
                Professions
                Medical Doctors
                Physicians
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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