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Diagnostic barriers for somatic symptom disorders in primary care: study protocol for a mixed methods study in
Christina Heinbokel1, Marco Lehmann1, Nadine Janis Pohontsch2
1Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf and Schön Clinic Hamburg Eilbek, Hamburg, Germany.
This study explores barriers in diagnosing Somatoform or Somatic Symptom Disorders (SSD) in primary care. Findings will inform tailored interventions to improve timely diagnosis and patient care.
Area of Science:
- Psychiatry
- General Practice
- Health Services Research
Background:
- Somatoform or Somatic Symptom Disorders ((S)SD) are prevalent, impacting patient quality of life and increasing healthcare costs.
- Primary care is crucial for (S)SD management, yet diagnosis and treatment are often delayed.
- Evidence on diagnostic barriers and tailored interventions for (S)SD in primary care is limited.
Purpose of the Study:
- To analyze the primary care diagnostic process for (S)SD, identifying factors leading to diagnosis or non-diagnosis.
- To explore general practitioners' (GPs) perspectives on diagnosing (S)SD.
- To understand patient experiences with the diagnostic journey for (S)SD.
Main Methods:
- Mixed-methods approach combining qualitative (focus groups, interviews) and quantitative (nationwide survey) phases.
- Qualitative phase: Explores GP thoughts and behaviors in diagnosing (S)SD.
- Quantitative phase: Validates and generalizes initial findings through a nationwide GP survey in Germany.
Main Results:
- Focus groups and interviews will reveal specific barriers and facilitators in the (S)SD diagnostic pathway.
- The nationwide survey will quantify the prevalence and impact of identified diagnostic barriers among German GPs.
- Results will inform the development of targeted interventions to improve (S)SD diagnosis in primary care.
Conclusions:
- Understanding diagnostic barriers is essential for improving (S)SD care in primary care settings.
- Tailored interventions based on identified barriers can enhance diagnostic accuracy and timeliness.
- This research contributes to better management of (S)SD, improving patient outcomes and reducing healthcare burden.
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