Briefing / Improving data quality for costing community and mental health services
The lack of robust data for mental health and community services makes it harder for health systems to progress with the integration agenda, deliver improvements in value or make the most of innovation.
Traditionally there has been less scrutiny of mental health and community data than acute data. As a result, the data for these two sectors is less well developed. In the Healthcare Costing for Value Institute survey, the majority of respondents working in mental health and community services stated that their data for services delivered in a community setting was of poor quality or incomplete.
This joint HFMA and Grant Thornton UK LLP briefing focuses on improving the quality of data for mental health and community services for the purpose of costing. However, the key messages are relevant to the wider group of stakeholders who use the data for multiple other purposes, including:
Traditionally there has been less scrutiny of mental health and community data than acute data. As a result, the data for these two sectors is less well developed. In the Healthcare Costing for Value Institute survey, the majority of respondents working in mental health and community services stated that their data for services delivered in a community setting was of poor quality or incomplete.
This joint HFMA and Grant Thornton UK LLP briefing focuses on improving the quality of data for mental health and community services for the purpose of costing. However, the key messages are relevant to the wider group of stakeholders who use the data for multiple other purposes, including:
- improving patient pathways
- delivering better value
- tackling health inequalities
- understanding financial positions of systems
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