Literature DB >> 23702086

From data to decisions? Exploring how healthcare payers respond to the NHS Atlas of Variation in Healthcare in England.

Laura Schang1, Alec Morton2, Philip DaSilva3, Gwyn Bevan2.   

Abstract

PURPOSE: Although information on variations in health service performance is now more widely available, relatively little is known about how healthcare payers use this information to improve resource allocation. We explore to what extent and how Primary Care Trusts (PCTs) in England have used the NHS Atlas of Variation in Healthcare, which has highlighted small area variation in rates of expenditure, activity and outcome.
METHODS: Data collection involved an email survey among PCT Chief Executives and a telephone follow-up to reach non-respondents (total response: 53 of 151 of PCTs, 35%). 45 senior to mid-level staff were interviewed to probe themes emerging from the survey. The data were analysed using a matrix-based Framework approach.
FINDINGS: Just under half of the respondents (25 of 53 PCTs) reported not using the Atlas, either because they had not been aware of it, lacked staff capacity to analyse it, or did not perceive it as applicable to local decision-making. Among the 28 users, the Atlas served as a prompt to understand variations and as a visual tool to facilitate communication with clinicians. Achieving clarity on which variations are unwarranted and agreeing on responsibilities for action appeared to be important factors in moving beyond initial information gathering towards decisions about resource allocation and behaviour change.
CONCLUSIONS: Many payers were unable to use information on small area variations in expenditure, activity and outcome. To change this what is additionally required are appropriate tools to understand causes of unexplained variation, in particular unwarranted variation, and enable remedial actions to be prioritised in terms of their contribution to population health.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Organisational decision making; Quality indicators; Regional health planning; Resource allocation; Small-area analysis; Unwarranted variations

Mesh:

Year:  2013        PMID: 23702086     DOI: 10.1016/j.healthpol.2013.04.014

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  11 in total

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