2007
DOI: 10.1089/jpm.2006.0258
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Relationship between Staff Perceptions of Hospital Norms and Hospital-Level End-of-Life Treatment Intensity

Abstract: Background-There are wide variations in hospital-level treatment intensity at the end of life that are not entirely explained by structural and market characteristics. Individual hospital microclimates must exist to perpetuate these practice variations.

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Cited by 26 publications
(24 citation statements)
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“…This finding is consistent with some prior research, 30,31 but our study extends current knowledge in 2 ways. First, prior studies have largely compared patterns of procedure use between FFS and capitated reimbursement systems, 19,32 rather than entirely distinct payment and care delivery systems such as VA and Medicare.…”
Section: Discussionsupporting
confidence: 94%
“…This finding is consistent with some prior research, 30,31 but our study extends current knowledge in 2 ways. First, prior studies have largely compared patterns of procedure use between FFS and capitated reimbursement systems, 19,32 rather than entirely distinct payment and care delivery systems such as VA and Medicare.…”
Section: Discussionsupporting
confidence: 94%
“…5 Finally, other research suggests that the central drivers of practice variation are implicit professional norms or the local practice culture. 10;28 To understand each of these potential factors better, future research should explore the influences of physician supply, procedure capacity, social norms, practice culture, and appropriateness of procedure use.…”
Section: Discussionmentioning
confidence: 99%
“…6 In contrast, relatively little is known about variation in the rates of healthcare utilization among the 23% of Medicare beneficiaries who are covered under capitated plans via the Medicare Advantage (MA) program. 7 If the primary reason for geographic variation in healthcare utilization is varying financial incentives for physicians, one would expect that overall CV procedure rates and variation in procedure rates would be lower for MA patients than for MFFS patients.. On the other hand, if factors such as differences in patient clinical characteristics, 8;9 patient preferences for treatment, or local practice culture 10 are the central drivers of variation then one would expect that overall CV procedure rates and variation in procedure rates would be similar for MA patients than for MFFS patients.…”
Section: Introductionmentioning
confidence: 99%
“…5,712 Such variability has been interpreted as suggesting that similar patients are treated differently owing to factors such as local policy, practice culture, 12 or resource constraints. However, these studies have been limited by the inability to focus on patients with presumably similar preferences for end-of-life care.…”
mentioning
confidence: 99%