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Assessing depression severity using the UK Quality and Outcomes Framework depression indicators: a systematic review
Elizabeth J Shaw1, Daniel Sutcliffe, Terence Lacey
1Health and Social Care Directorate, National Institute for Healthand Care Excellence (NICE), Manchester.
Structured depression severity assessment in UK primary care shows uncertain benefits. General practitioners (GPs) report unintended consequences from routine use, potentially impacting patient care.
Area of Science:
- Primary Care Medicine
- Mental Health Research
- Health Services Research
Background:
- Depression is a significant cause of chronic illness managed within primary care settings.
- The UK's Quality and Outcomes Framework (QOF) introduced indicators for depression severity assessment in 2006 and 2009.
- Pay-for-performance schemes like QOF require evidence supporting indicator use and consideration of unintended consequences.
Purpose of the Study:
- To evaluate the effectiveness of routine depression severity assessment using structured tools in primary care.
- To gather perspectives from General Practitioners (GPs) and patients on the utilization of these assessment tools.
Main Methods:
- A systematic review methodology was employed.
- Literature searches of electronic databases identified relevant studies.
- Data extraction, quality assessment, and GRADE tables were completed following established protocols.
Main Results:
- Very low-quality evidence suggests structured assessment at diagnosis may align interventions with depression severity.
- Patients generally held more positive views on depression assessment than GPs, who noted unintended consequences.
- Low-quality evidence indicates structured follow-up assessments may increase remission and response rates, but did not consistently alter management; patients used assessments for self-monitoring.
Conclusions:
- The impact of structured depression severity assessment in UK general practice remains uncertain.
- GPs perceive routine questionnaire use, incentivized by QOF, as having unintended consequences that could negatively affect patient care.
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