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A description of an intermediate care service using routinely collected data.
Jane Barrett1, Suan Goh, Christopher Todd
1Health Services Research Group, Department of Public Health and Primary Care, University of Cambridge, Robinson Way, Cambridge CB2 2SR, UK.
Journal of Nursing Management
|July 9, 2002
Summary
Routine data can describe intermediate care services, but patient-centered data and outcome measurement are needed for effective performance monitoring. This study explored data for a community nursing service.
Area of Science:
- Healthcare Management
- Nursing Services
- Health Informatics
Background:
- Intermediate care services are crucial for alleviating acute hospital pressures.
- The heterogeneity of intermediate care necessitates robust methods for service description and comparison.
- Assessing the utility of routine data for monitoring intermediate care performance is essential.
Purpose of the Study:
- To explore the potential of routine data sources for monitoring intermediate care service performance.
- To describe the characteristics and care programs of a newly established intermediate care nursing service.
Main Methods:
- Retrospective analysis of 12-month routine community-based data (April 1998–March 1999).
- Examination of patient characteristics, episode details, and care program data.
- Assessment of data completeness, particularly for episode end-dates.
Main Results:
- The service provided out-of-hours community nursing care to 903 patients across 1071 episodes.
- Patient characteristics and episode start dates were complete; over 50% of episode end dates were missing.
- The service primarily supported individuals aged 65+ with conditions including genito-urinary, neoplasm, wound management, elderly care, gastro-intestinal, and locomotor issues, with most referrals from primary care.
Conclusions:
- Routine data offers a foundation for describing intermediate care services and enabling comparisons.
- A shift towards patient-centered data, consistent identifiers, and planned data linkage is needed.
- Current data limitations, particularly regarding outcomes, hinder comprehensive effectiveness measurement.