Suppr超能文献

Evaluating and improving pressure ulcer care: the VA experience with administrative data.

作者信息

Berlowitz D R, Halpern J

机构信息

Health Services Research and Development Field Program, Bedford Veterans Affairs Hospital, MA 01730, USA.

出版信息

Jt Comm J Qual Improv. 1997 Aug;23(8):424-33. doi: 10.1016/s1070-3241(16)30329-7.

Abstract

BACKGROUND

A number of state initiatives are using databases originally developed for nursing home reimbursements to assess the quality of care. Since 1991 the Department of Veterans Affairs (VA; Washington, DC) has been using a long term care administrative database to calculate facility-specific rates of pressure ulcer development. This information is disseminated to all 140 long term care facilities as part of a quality assessment and improvement program.

DATA ON PRESSURE ULCER DEVELOPMENT

Assessments are performed on all long term care residents on April 1 and October 1, as well as at the time of admission or transfer to a long term care unit. Approximately 18,000 long term care residents are evaluated in each six-month period; the VA rate of pressure ulcer development is approximately 3.5%. Reports of the rates of pressure ulcer development are then disseminated to all facilities, generally within two months of the assessment date.

IMPLICATIONS FOR OTHER QUALITY IMPROVEMENT EFFORTS

The VA's more than five years' experience in using administrative data to assess outcomes for long term care highlights several important issues that should be considered when using outcome measures based on administrative data. These include the importance of carefully selecting the outcome measure, the need to consider the structure of the database, the role of case-mix adjustment, strategies for reporting rates to small facilities, and methods for information dissemination.

CONCLUSION

Attention to these issues will help ensure that results from administrative databases lead to improvements in the quality of care.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验