Zuckerbraun SM, Deutsch A, Eicheldinger C, Frasier AM, Loft JD, Clift JB. Risk Adjustment, Mode Adjustment, and Nonresponse Bias Analysis on Quality Measures From a Long-Term Care Hospital Experience of Care Survey.
Arch Phys Med Rehabil 2020;
101:841-851. [PMID:
31904343 DOI:
10.1016/j.apmr.2019.11.016]
[Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 11/14/2019] [Accepted: 11/17/2019] [Indexed: 11/19/2022]
Abstract
OBJECTIVES
To develop a patient risk adjustment model for experience of care (EOC) quality measures for long-term care hospitals (LTCHs) that includes mode of survey administration. To assess presence of nonresponse bias in the adjusted facility-level scores.
DESIGN
We tested 3 modes of collecting the EOC data: mail-only, mixed (ie, mail with telephone follow-up), and in-facility. This study used sequential modeling and impact analysis, specified a risk and mode adjustment model, and evaluated presence of nonresponse after adjustment.
SETTING
LTCHs.
PARTICIPANTS
Patients (N=1364) and 69 LTCHs.
INTERVENTION
Not applicable.
MAIN OUTCOME MEASURES
Risk and mode adjusted responses to 28 survey questions and 6 facility-level scores derived from survey responses.
RESULTS
Mode of data collection and patient risk variables (age, sex, overall health, overall mental health, marital status, education, race, and whether a proxy responded) were included in the model. Clinical variables were not significant. The in-facility mode was associated with significantly higher performance scores than the other modes. When the recommended risk and mode adjustment model was applied, nonresponse bias was not observed in any mode.
CONCLUSIONS
LTCH EOC data should be adjusted for patient risk variables including mode of data collection.
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