Validity of the RAI-MDS for ascertaining diabetes and comorbid conditions in long-term care facility residents

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dc.contributor.authorLix, Lisa M
dc.contributor.authorYan, Lin
dc.contributor.authorBlackburn, David
dc.contributor.authorHu, Nianping
dc.contributor.authorSchneider-Lindner, Verena
dc.contributor.authorTeare, Gary F
dc.date.accessioned2014-01-17T16:12:56Z
dc.date.available2014-01-17T16:12:56Z
dc.date.issued2014-01-15
dc.date.updated2014-01-17T16:12:57Z
dc.description.abstractAbstract Background This study assessed the validity of the Resident Assessment Instrument Minimum Data Set (RAI-MDS) Version 2.0 for diagnoses of diabetes and comorbid conditions in residents of long-term care facilities (LTCFs). Methods Hospital inpatient, outpatient physician billing, RAI-MDS, and population registry data for 1997 to 2011 from Saskatchewan, Canada were used to ascertain cases of diabetes and 12 comorbid conditions. Prevalence estimates were calculated for both RAI-MDS and administrative health data. Sensitivity, specificity, and positive and negative predictive values (PPV and NPV) were calculated using population-based administrative health data as the validation data source. Cohen’s κ was used to estimate agreement between the two data sources. Results 23,217 LTCF residents were in the diabetes case ascertainment cohort. Diabetes prevalence was 25.3% in administrative health data and 21.9% in RAI-MDS data. Overall sensitivity of a RAI-MDS diabetes diagnoses was 0.79 (95% CI: 0.79, 0.80) and the PPV was 0.92 (95% CI: 0.91, 0.92), when compared to administrative health data. Sensitivity of the RAI-MDS for ascertaining comorbid conditions ranged from 0.21 for osteoporosis to 0.92 for multiple sclerosis; specificity was high for most conditions. Conclusions RAI-MDS clinical assessment data are sensitive to ascertain diabetes cases in LTCF populations when compared to administrative health data. For many comorbid conditions, RAI-MDS data have low validity when compared to administrative data. Risk-adjustment measures based on these comorbidities might not produce consistent results for RAI-MDS and administrative health data, which could affect the conclusions of studies about health outcomes and quality of care across facilities.
dc.description.versionPeer Reviewed
dc.identifier.citationBMC Health Services Research. 2014 Jan 15;14(1):17
dc.identifier.doihttp://dx.doi.org/10.1186/1472-6963-14-17
dc.identifier.urihttp://hdl.handle.net/1993/23270
dc.language.rfc3066en
dc.rightsopen accessen_US
dc.rights.holderLisa M Lix et al.; licensee BioMed Central Ltd.
dc.titleValidity of the RAI-MDS for ascertaining diabetes and comorbid conditions in long-term care facility residents
dc.typeJournal Article
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