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Development of quality indicators for monitoring outcomes of frail elderly hospitalised in acute care health settings: Study Protocol

Overview of attention for article published in BMC Health Services Research, October 2011
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Title
Development of quality indicators for monitoring outcomes of frail elderly hospitalised in acute care health settings: Study Protocol
Published in
BMC Health Services Research, October 2011
DOI 10.1186/1472-6963-11-281
Pubmed ID
Authors

Caroline A Brand, Melinda Martin-Khan, Olivia Wright, Richard N Jones, John N Morris, Catherine M Travers, Joannne Tropea, Leonard C Gray

Abstract

Frail older people admitted to acute care hospitals are at risk of a range of adverse outcomes, including geriatric syndromes, although targeted care strategies can improve health outcomes for these patients. It is therefore important to assess inter-hospital variation in performance in order to plan and resource improvement programs. Clinical quality outcome indicators provide a mechanism for identifying variation in performance over time and between hospitals, however to date there has been no routine use of such indicators in acute care settings. A barrier to using quality indicators is lack of access to routinely collected clinical data. The interRAI Acute Care (AC) assessment system supports comprehensive geriatric assessment of older people within routine daily practice in hospital and includes process and outcome data pertaining to geriatric syndromes. This paper reports the study protocol for the development of aged care quality indicators for acute care hospitals.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Brazil 2 2%
Germany 1 1%
United Kingdom 1 1%
India 1 1%
Unknown 88 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 17%
Student > Ph. D. Student 11 12%
Student > Master 10 11%
Lecturer 8 8%
Student > Bachelor 7 7%
Other 26 27%
Unknown 17 18%
Readers by discipline Count As %
Medicine and Dentistry 33 35%
Nursing and Health Professions 10 11%
Social Sciences 9 9%
Business, Management and Accounting 5 5%
Computer Science 3 3%
Other 7 7%
Unknown 28 29%