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      “You don't immediately stick a label on them”: a qualitative study of influences on general practitioners' recording of anxiety disorders

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          Abstract

          Objectives

          Anxiety is a common condition usually managed in general practice (GP) in the UK. GP patient records can be used for epidemiological studies of anxiety as well as clinical audit and service planning. However, it is not clear how general practitioners (GPs) conceptualise, diagnose and document anxiety in these records. We sought to understand these factors through an interview study with GPs.

          Setting

          UK National Health Service (NHS) General Practice (England and Wales).

          Participants

          17 UK GPs.

          Primary and secondary outcome measures

          Semistructured interviews used vignettes to explore the process of diagnosing anxiety in primary care and investigate influences on recording. Interviews were transcribed verbatim and analysed using thematic analysis.

          Results

          GPs chose 12 different codes for recording anxiety in the 2 vignettes, and reported that history, symptoms and management would be recorded in free text. GPs reported on 4 themes representing influences on recording of anxiety: ‘anxiety or a normal response’, ‘granularity of diagnosis’, ‘giving patients a label’ and ‘time as a tool’; and 3 themes about recording in general: ‘justifying the choice of code’, ‘usefulness of coding’ and ‘practice-specific pressures’. GPs reported using only a regular selection of codes in patient records to help standardise records within the practice and as a time-saving measure.

          Conclusions

          We have identified a coding culture where GPs feel confident recognising anxiety symptoms; however, due to clinical uncertainty, a long-term perspective and a focus on management, they are reluctant to code firm diagnoses in the initial stages. Researchers using GP patient records should be aware that GPs may prefer free text, symptom codes and other general codes rather than firm diagnostic codes for anxiety.

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          Most cited references10

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          Optimising the use of electronic health records to estimate the incidence of rheumatoid arthritis in primary care: what information is hidden in free text?

          Background Primary care databases are a major source of data for epidemiological and health services research. However, most studies are based on coded information, ignoring information stored in free text. Using the early presentation of rheumatoid arthritis (RA) as an exemplar, our objective was to estimate the extent of data hidden within free text, using a keyword search. Methods We examined the electronic health records (EHRs) of 6,387 patients from the UK, aged 30 years and older, with a first coded diagnosis of RA between 2005 and 2008. We listed indicators for RA which were present in coded format and ran keyword searches for similar information held in free text. The frequency of indicator code groups and keywords from one year before to 14 days after RA diagnosis were compared, and temporal relationships examined. Results One or more keyword for RA was found in the free text in 29% of patients prior to the RA diagnostic code. Keywords for inflammatory arthritis diagnoses were present for 14% of patients whereas only 11% had a diagnostic code. Codes for synovitis were found in 3% of patients, but keywords were identified in an additional 17%. In 13% of patients there was evidence of a positive rheumatoid factor test in text only, uncoded. No gender differences were found. Keywords generally occurred close in time to the coded diagnosis of rheumatoid arthritis. They were often found under codes indicating letters and communications. Conclusions Potential cases may be missed or wrongly dated when coded data alone are used to identify patients with RA, as diagnostic suspicions are frequently confined to text. The use of EHRs to create disease registers or assess quality of care will be misleading if free text information is not taken into account. Methods to facilitate the automated processing of text need to be developed and implemented.
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            The deliberate misdiagnosis of major depression in primary care.

            Because the correct diagnosis of a psychiatric condition can jeopardize reimbursement and other benefits, physicians deliberately substitute alternative diagnoses. We estimated the prevalence of alternative coding for major depression by primary care physicians and the reasons for its occurrence. Cross-sectional mail survey with telephone follow-up of nonresponders. Primary care practices in communities across the nation. Physicians were eligible to participate if they were randomly selected from membership lists of two professional organizations of primary care clinicians. Four hundred forty-four physicians (70.0% of eligible physicians and 89.5% of eligible physicians we could locate) completed the survey by mail or telephone. Substitution of an alternative code for major depression within a 2-week period. Of our respondents, 50.3% (SE, +/- 2.5%) reported that they had substituted another diagnostic code during a 2-week period for one or more patients whom they recognized met the criteria for major depression in the Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition. Thirty-one percent of depressed patients received alternative codes. The most common reasons for these substitutions involved physician uncertainty about the diagnosis and problems with reimbursement for services if a diagnosis of major depression was coded. The practice of deliberately substituting another diagnostic code for major depression is widespread among primary care providers. Physicians who employ deliberate misdiagnosis circumvent inequitable policies for particular patients, but the impact of substitution on the health care system as a whole deserves more careful consideration.
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              Anxiety disorders in major depression.

              The prevalence and clinical impact of anxiety disorder comorbidity in major depression were studied in 255 depressed adult outpatients consecutively enrolled in our Depression Research Program. Comorbid anxiety disorder diagnoses were present in 50.6% of these patients and included social phobia (27.0%), simple phobia (16.9%), panic disorder (14.5%), generalized anxiety disorder ([GAD] 10.6%), obsessive-compulsive disorder ([OCD] 6.3%), and agoraphobia (5.5%). While both social phobia and generalized anxiety preceded the first episode of major depression in 65% and 63% of cases, respectively, panic disorder (21.6%) and agoraphobia (14.3%) were much less likely to precede the first episode of major depression than to emerge subsequently. Although comorbid groups were not distinguished by depression, anxiety, hostility, or somatic symptom scores at the time of study presentation, patients with comorbid anxiety disorders tended to be younger during the index episode and to have an earlier onset of the major depressive disorder (MDD) than patients with major depression alone. Our results support the distinction between anxiety symptoms secondary to depression and anxiety disorders comorbid with major depression, and provide further evidence for different temporal relationships with major depression among the several comorbid anxiety disorders.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2016
                23 June 2016
                : 6
                : 6
                : e010746
                Affiliations
                [1 ]Division of Primary Care and Public Health, Brighton and Sussex Medical School , Brighton, UK
                [2 ]Musgrove Park Hospital, Taunton and Somerset Trust , Taunton, UK
                [3 ]Ysbyty Gwynedd, Betsi Cadwaladr University Health Board (West) , Penrhosgarnedd, Gwynedd, UK
                Author notes
                [Correspondence to ] Dr Elizabeth Ford; e.m.ford@ 123456bsms.ac.uk
                Article
                bmjopen-2015-010746
                10.1136/bmjopen-2015-010746
                4932250
                27338879
                1d24ce47-3311-4116-a579-d9d64a3d43e0
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 3 December 2015
                : 15 March 2016
                : 17 March 2016
                Categories
                General practice / Family practice
                Research
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                1692
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                Medicine
                mental health,general practice,epidemiology,electronic patient records
                Medicine
                mental health, general practice, epidemiology, electronic patient records

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