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      Diagnostic uncertainty in primary care: what is known about its communication, and what are the associated ethical issues?

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          Abstract

          Background

          Diagnostic uncertainty (DU) in primary care is ubiquitous, yet no review has specifically examined its communication, or the associated ethical issues.

          Objectives

          To identify what is known about the communication of DU in primary care and the associated ethical issues.

          Methods

          Systematic review, critical interpretive synthesis and ethical analysis of primary research published worldwide. Medline, Embase, Web of Science and SCOPUS were searched for papers from 1988 to 2020 relating to primary care AND diagnostic uncertainty AND [ethics OR behaviours OR communication]. Critical interpretive synthesis and ethical analysis were applied to data extracted.

          Results

          Sixteen papers met inclusion criteria. Although DU is inherent in primary care, its communication is often limited. Evidence on the effects of communicating DU to patients is mixed; research on patient perspectives of DU is lacking. The empirical literature is significantly limited by inconsistencies in how DU is defined and measured. No primary ethical analysis was identified; secondary analysis of the included papers identified ethical issues relating to maintaining patient autonomy in the face of clinical uncertainty, a gap in considering the direct effects of (not) communicating DU on patients, and considerations regarding over-investigation and justice.

          Conclusions

          This review highlights significant gaps in the literature: there is a need for explicit ethical and patient-centred empirical analyses on the effects of communicating DU, and research directly examining patient preferences for this communication. Consensus on how DU should be defined, and greater research into tools for its measurement, would help to strengthen the empirical evidence base.

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          Most cited references47

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          Where is the evidence? A systematic review of shared decision making and patient outcomes.

          Despite widespread advocacy for shared decision making (SDM), the empirical evidence regarding its effectiveness to improve patient outcomes has not been systematically reviewed. The purpose of this study was to systematically review the empirical evidence linking patient outcomes and SDM, when the decision-making process has been explicitly measured, and to identify under what measurement perspectives SDM is associated with which types of patient outcomes (affective-cognitive, behavioral, and health). PubMed (through December 2012) and hand search of article bibliographies. Studies were included if they empirically 1) measured SDM in the context of a patient-clinician interaction and 2) evaluated the relationship between SDM and at least 1 patient outcome. Study results were categorized by SDM measurement perspective (patient-reported, clinician-reported, or observer-rated) and outcome type (affective-cognitive, behavioral, or health). Thirty-nine studies met inclusion criteria. Thirty-three used patient-reported measures of SDM, 6 used observer-rated measures, and 2 used clinician-reported measures. Ninety-seven unique patient outcomes were assessed; 51% affective-cognitive, 28% behavioral, and 21% health. Only 43% of assessments (n = 42) found a significant and positive relationship between SDM and the patient outcome. This proportion varied by SDM measurement perspective and outcome category. It was found that 52% of outcomes assessed with patient-reported SDM were significant and positive, compared with 21% with observer-rated and 0% with clinician-reported SDM. Regardless of measurement perspective, SDM was most likely to be associated with affective-cognitive patient outcomes (54%), compared with 37% of behavioral and 25% of health outcomes. The relatively small number of studies precludes meta-analysis. Because the study inclusion and exclusion criteria required both an empirical measure of SDM and an assessment of the association between that measure and a patient outcome, most included studies were observational in design. SDM, when perceived by patients as occurring, tends to result in improved affective-cognitive outcomes. Evidence is lacking for the association between empirical measures of SDM and patient behavioral and health outcomes. © The Author(s) 2014.
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            Conducting a critical interpretive synthesis of the literature on access to healthcare by vulnerable groups

            Background Conventional systematic review techniques have limitations when the aim of a review is to construct a critical analysis of a complex body of literature. This article offers a reflexive account of an attempt to conduct an interpretive review of the literature on access to healthcare by vulnerable groups in the UK Methods This project involved the development and use of the method of Critical Interpretive Synthesis (CIS). This approach is sensitised to the processes of conventional systematic review methodology and draws on recent advances in methods for interpretive synthesis. Results Many analyses of equity of access have rested on measures of utilisation of health services, but these are problematic both methodologically and conceptually. A more useful means of understanding access is offered by the synthetic construct of candidacy. Candidacy describes how people's eligibility for healthcare is determined between themselves and health services. It is a continually negotiated property of individuals, subject to multiple influences arising both from people and their social contexts and from macro-level influences on allocation of resources and configuration of services. Health services are continually constituting and seeking to define the appropriate objects of medical attention and intervention, while at the same time people are engaged in constituting and defining what they understand to be the appropriate objects of medical attention and intervention. Access represents a dynamic interplay between these simultaneous, iterative and mutually reinforcing processes. By attending to how vulnerabilities arise in relation to candidacy, the phenomenon of access can be better understood, and more appropriate recommendations made for policy, practice and future research. Discussion By innovating with existing methods for interpretive synthesis, it was possible to produce not only new methods for conducting what we have termed critical interpretive synthesis, but also a new theoretical conceptualisation of access to healthcare. This theoretical account of access is distinct from models already extant in the literature, and is the result of combining diverse constructs and evidence into a coherent whole. Both the method and the model should be evaluated in other contexts.
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              Defining and Measuring Diagnostic Uncertainty in Medicine: A Systematic Review

              Background Physicians routinely encounter diagnostic uncertainty in practice. Despite its impact on health care utilization, costs and error, measurement of diagnostic uncertainty is poorly understood. We conducted a systematic review to describe how diagnostic uncertainty is defined and measured in medical practice. Methods We searched OVID Medline and PsycINFO databases from inception until May 2017 using a combination of keywords and Medical Subject Headings (MeSH). Additional search strategies included manual review of references identified in the primary search, use of a topic-specific database (AHRQ-PSNet) and expert input. We specifically focused on articles that (1) defined diagnostic uncertainty; (2) conceptualized diagnostic uncertainty in terms of its sources, complexity of its attributes or strategies for managing it; or (3) attempted to measure diagnostic uncertainty. Key Results We identified 123 articles for full review, none of which defined diagnostic uncertainty. Three attributes of diagnostic uncertainty were relevant for measurement: (1) it is a subjective perception experienced by the clinician; (2) it has the potential to impact diagnostic evaluation—for example, when inappropriately managed, it can lead to diagnostic delays; and (3) it is dynamic in nature, changing with time. Current methods for measuring diagnostic uncertainty in medical practice include: (1) asking clinicians about their perception of uncertainty (surveys and qualitative interviews), (2) evaluating the patient–clinician encounter (such as by reviews of medical records, transcripts of patient–clinician communication and observation), and (3) experimental techniques (patient vignette studies). Conclusions The term “diagnostic uncertainty” lacks a clear definition, and there is no comprehensive framework for its measurement in medical practice. Based on review findings, we propose that diagnostic uncertainty be defined as a “subjective perception of an inability to provide an accurate explanation of the patient’s health problem.” Methodological advancements in measuring diagnostic uncertainty can improve our understanding of diagnostic decision-making and inform interventions to reduce diagnostic errors and overuse of health care resources. Electronic supplementary material The online version of this article (10.1007/s11606-017-4164-1) contains supplementary material, which is available to authorized users.
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                Author and article information

                Journal
                Fam Pract
                Fam Pract
                famprj
                Family Practice
                Oxford University Press (UK )
                0263-2136
                1460-2229
                October 2021
                28 April 2021
                28 April 2021
                : 38
                : 5
                : 654-668
                Affiliations
                [1 ]THIS Institute (The Healthcare Improvement Studies Institute), Department of Public Health and Primary Care, University of Cambridge , Cambridge, UK
                [2 ]St Mary’s Surgery , Ely, UK
                Author notes
                Correspondence to Zoë Fritz, THIS (The Healthcare Improvement Studies Institute), Clifford Allbutt Building, Cambridge Biomedical Campus, Cambridge CB2 0AH, UK; E-mail: zbmf2@ 123456cam.ac.uk
                Author information
                https://orcid.org/0000-0001-9416-9509
                Article
                cmab023
                10.1093/fampra/cmab023
                8463813
                33907806
                4d72df5b-744c-4390-b608-f487c5e61703
                © The Author(s) 2021. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Pages: 15
                Funding
                Funded by: Wellcome Trust, DOI 10.13039/100010269;
                Award ID: 208213/Z/17/Z
                Funded by: National Institute for Health Research, DOI 10.13039/501100000272;
                Funded by: University of Cambridge, DOI 10.13039/501100000735;
                Funded by: Health Foundation, DOI 10.13039/501100000724;
                Categories
                Systematic Reviews
                AcademicSubjects/MED00780

                Medicine
                communication,education,ethics,patient-centred care,patient–doctor relationship,uncertainty
                Medicine
                communication, education, ethics, patient-centred care, patient–doctor relationship, uncertainty

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