Mularski RA, Dy SM, Shugarman LR, Wilkinson AM, Lynn J, Shekelle PG, Morton SC, Sun VC, Hughes RG, Hilton LK, Maglione M, Rhodes SL, Rolon C, Lorenz KA. A systematic review of measures of end-of-life care and its outcomes.
Health Serv Res 2007;
42:1848-70. [PMID:
17850523 PMCID:
PMC2254566 DOI:
10.1111/j.1475-6773.2007.00721.x]
[Citation(s) in RCA: 143] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE
To identify psychometrically sound measures of outcomes in end-of-life care and to characterize their use in intervention studies.
DATA SOURCES
English language articles from 1990 to November 2005 describing measures with published psychometric data and intervention studies of end-of-life care.
STUDY DESIGN
Systematic review of end-of-life care literature.
EXTRACTION METHODS
Two reviewers organized identified measures into 10 major domains. Eight reviewers extracted and characterized measures from intervention studies.
PRINCIPAL FINDINGS
Of 24,423 citations, we extracted 200 articles that described 261 measures, accepting 99 measures. In addition to 35 measures recommended in a prior systematic review, we identified an additional 64 measures of the end-of-life experience. The most robust measures were in the areas of symptoms, quality of life, and satisfaction; significant gaps existed in continuity of care, advance care planning, spirituality, and caregiver well-being. We also reviewed 84 intervention studies in which 135 patient-centered outcomes were assessed by 97 separate measures. Of these, 80 were used only once and only eight measures were used in more than two studies.
CONCLUSIONS
In general, most measures have not undergone rigorous development and testing. Measure development in end-of-life care should focus on areas with identified gaps, and testing should be done to facilitate comparability across the care settings, populations, and clinical conditions. Intervention research should use robust measures that adhere to these standards.
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