How well does the minimum data set measure healthcare use? a validation study

TitleHow well does the minimum data set measure healthcare use? a validation study
Publication TypeJournal Article
Year of Publication2018
AuthorsDoupe M.B, Poss J., Norton P.G, Garland A., Dik N., Zinnick S., Lix L.M
JournalBMC Health Serv Res
Volume18
Issue1
Pagination279
Date PublishedApr 11
ISBN Number1472-6963
Accession Number29642929
Keywords*Healthcare use, *MDS records, *Nursing Homes, *Validation, Aged, Aged, 80 and over, Datasets as Topic/*standards, Emergency Service, Hospital/*statistics & numerical data, Female, Hospitalization/*statistics & numerical data, Humans, Male, Manitoba, Nursing Homes/*statistics & numerical data, Patient Acceptance of Health Care/statistics & numerical data, Retrospective Studies, Sensitivity and Specificity, Transition to Adult Care
Abstract

BACKGROUND: To improve care, planners require accurate information about nursing home (NH) residents and their healthcare use. We evaluated how accurately measures of resident user status and healthcare use were captured in the Minimum Data Set (MDS) versus administrative data. METHODS: This retrospective observational cohort study was conducted on all NH residents (N = 8832) from Winnipeg, Manitoba, Canada, between April 1, 2011 and March 31, 2013. Six study measures exist. NH user status (newly admitted NH residents, those who transferred from one NH to another, and those who died) was measured using both MDS and administrative data. Rates of in-patient hospitalizations, emergency department (ED) visits without subsequent hospitalization, and physician examinations were also measured in each data source. We calculated the sensitivity, specificity, positive and negative predictive values (PPV, NPV), and overall agreement (kappa, kappa) of each measure as captured by MDS using administrative data as the reference source. Also for each measure, logistic regression tested if the level of disagreement between data systems was associated with resident age and sex plus NH owner-operator status. RESULTS: MDS accurately identified newly admitted residents (kappa = 0.97), those who transferred between NHs (kappa = 0.90), and those who died (kappa = 0.95). Measures of healthcare use were captured less accurately by MDS, with high levels of both under-reporting and false positives (e.g., for in-patient hospitalizations sensitivity = 0.58, PPV = 0.45), and moderate overall agreement levels (e.g., kappa = 0.39 for ED visits). Disagreement was sometimes greater for younger males, and for residents living in for-profit NHs. CONCLUSIONS: MDS can be used as a stand-alone tool to accurately capture basic measures of NH use (admission, transfer, and death), and by proxy NH length of stay. As compared to administrative data, MDS does not accurately capture NH resident healthcare use. Research investigating these and other healthcare transitions by NH residents requires a combination of the MDS and administrative data systems.

URLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896092/pdf/12913_2018_Article_3089.pdf
DOI10.1186/s12913-018-3089-7
PMCID

PMC5896092

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Short TitleBMC Health Serv ResBMC Health Serv Res
Alternate JournalBMC health services research