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01.12.2012 | Research article | Ausgabe 1/2012 Open Access

BMC Health Services Research 1/2012

Beyond section Q: prioritizing nursing home residents for transition to the community

Zeitschrift:
BMC Health Services Research > Ausgabe 1/2012
Autoren:
Brant E Fries, Mary L James
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1472-6963-12-186) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

BEF, performed all the statistical analysis for the study, wrote the sections on Methods and Results, and participated in the final editing. ML. J., planned and coordinated the study, collaborated with the states involved, wrote the Introduction and the Discussion section, and participated in the final editing. All authors read and approved the final manuscript.

Abstract

Background

Nursing Facility Transition (NFT) programs often rely on self-reported preference for discharge to the community, as indicated in the Minimum Data Set (MDS) Section Q, to identify program participants. We examined other characteristics of long-stay residents discharged from nursing facilities by NFT programs, to “flag” similar individuals for outreach in the Money Follows the Person (MFP) initiative.

Methods

Three states identified persons who transitioned between 2001 and 2009 with the assistance of a NFT or MFP program. These were used to locate each participant’s MDS 2.0 assessment just prior to discharge and to create a control sample of non-transitioned residents. Logistic regression and Automatic Interactions Detection were used to compare the two groups.

Results

Although there was considerable variation across states in transitionees’ characteristics, a derived “Q + Index” was highly effective in identifying persons similar to those that states had previously transitioned. The Index displays high sensitivity (86.5%) and specificity (78.7%) and identifies 28.3% of all long-stayers for follow-up. The Index can be cross-walked to MDS 3.0 items.

Conclusions

The Q + Index, applied to MDS 3.0 assessments, can identify a population closely resembling persons who have transitioned in the past. Given the US Government’s mandate that states consider all transition requests and the limited staffing available at local contact agencies to address such referrals, this algorithm can also be used to prioritize among persons seeking assistance from local contact agencies and MFP providers.
Zusatzmaterial
Authors’ original file for figure 1
12913_2011_2317_MOESM1_ESM.pdf
Authors’ original file for figure 2
12913_2011_2317_MOESM2_ESM.tiff
Authors’ original file for figure 3
12913_2011_2317_MOESM3_ESM.tiff
Authors’ original file for figure 4
12913_2011_2317_MOESM4_ESM.tiff
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