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Quality indicators for primary care mental health services
T Shield1, S Campbell, A Rogers
1National Primary Care Research and Development Centre, University of Manchester, UK.
Quality & Safety in Health Care
|April 8, 2003
Summary
This study developed quality indicators for primary care mental health services through multi-stakeholder consensus. These indicators aim to guide quality improvement initiatives and enhance patient care across Great Britain.
Area of Science:
- Healthcare Quality
- Mental Health Services Research
- Primary Care
Background:
- Quality improvement in primary care mental health services is essential for effective patient care.
- A multi-stakeholder perspective is crucial for developing relevant and valid quality indicators.
- Existing quality measures may not fully capture the complexities of primary care mental health provision.
Purpose of the Study:
- To identify a generic set of face valid quality indicators for primary care mental health services.
- To reflect a multi-stakeholder perspective in the development of these indicators.
- To facilitate quality improvement initiatives within these services.
Main Methods:
- A modified two-round postal Delphi questionnaire was employed.
- 115 panellists from 11 diverse stakeholder groups across Great Britain participated.
- Face validity was assessed using a nine-point scale with high agreement criteria.
Main Results:
- A total of 334 indicators were rated, with 26% achieving consensus validity across all panels.
- Indicators were categorized into 21 aspects of care, linked to general practices and health authorities.
- Significant variation existed in indicator validity ratings among different stakeholder groups, with carers rating the highest percentage valid.
Conclusions:
- The developed quality indicators represent consensus among key stakeholders for defining care quality in primary care mental health.
- These indicators can guide primary care organizations in quality improvement efforts, aligning with national standards.
- The methodology is adaptable for developing locally relevant indicators in other settings.