ArticleBMC psychiatry2024
Motives and modifying factors for giving or rejecting psychiatric diagnoses in general medicine and psychiatry - a qualitative interview study.
Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Abstract
backgroundThere is a discussion among general practitioners and psychiatrists regarding over-diagnosing versus under-reporting of psychiatric diagnoses. A deeper understanding of this topic is relevant for providing reasonable health care and for planning future studies. A crucial factor to understanding this discussion is the difference in the prevalence of a disease in each sector. One way to attain knowledge about such prevalences is the analysis of routine care data of the sector in question. However, diagnosis-related data might be modified by several additional influencing factors.
aimsThis study aims to explore what kind of motives and modifying factors play a role for or against giving psychiatric diagnoses in psychiatric and general medical settings.
methodsTwenty-six semi-structured interviews were conducted with German physicians in the fields of general medicine and psychiatry. Interviews were analysed using content analysis.
resultsThe analysis revealed three major motivational categories for finding a diagnosis: (1) "objective matters" such as "categorisation for research"; (2) "functional and performance-related factors" such as "requirement for medication", "billing aspects" that go with certain diagnoses or "access to adequate care" and (3) "Individual factors" such as the "personality of a physician". Similarly, factors emerged that lead to not making psychiatric diagnoses like "fear of stigmatization among patients" or "detrimental insurance status with psychiatric diagnosis". Additionally participants mentioned other reasons for "not diagnosing a psychiatric diagnosis", such as "coding of other clinical pictures".
conclusionThe diagnostic process is a complex phenomenon that goes far beyond the identification of medical findings. This insight should be considered when processing and interpreting secondary data for designing health care systems or designing a study.
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