Evidence map›Paper›PMID 25179533›Full record

ArticleJournal of the American Medical Directors Association2014

Sensitivity and specificity of the Minimum Data Set 3.0 discharge data relative to Medicare claims.

Momotazur Rahman, Denise Tyler, Joseph Kofi Acquah, Julie Lima, Vincent Mor

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  8. Development and Validation of the Nursing Home Minimum Data Set 3.0 Mortality Risk Score (MRS3).The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Momotazur RahmanDepartment of Health Services, Policy, and Practice, Brown University, Providence, RI. Electronic address: Momotazur_Rahman@brown.edu.
Denise TylerDepartment of Health Services, Policy, and Practice, Brown University, Providence, RI.
Joseph Kofi AcquahDepartment of Economics, Brown University, Providence, RI.
Julie LimaDepartment of Health Services, Policy, and Practice, Brown University, Providence, RI.
Vincent MorDepartment of Health Services, Policy, and Practice, Brown University, Providence, RI; Providence Veterans Administration Medical Center, Health Services Research Program, Providence, RI.

Funding

VARIATIONS IN LIFE'S FINAL CHAPTERP01AG027296 · NIA · BROWN UNIVERSITY · PI AMAL N. TRIVEDI · 2007 to 2026
$38.9M
NIA NIH HHS P01 AG027296
6 · The paper itself

Abstract

objectiveThe objective of this study was to determine whether the Minimum Data Set (MDS) 3.0 discharge record accurately identifies hospitalizations and deaths of nursing home residents.

designWe merged date of death from Medicare enrollment data and hospital inpatient claims with MDS discharge records to check whether the same information can be verified from both the sources. We examined the association of 30-day rehospitalization rates from nursing homes calculated only from MDS and only from claims. We also examined how correspondence between these 2 data sources varies across nursing homes. SETTINGS: All fee-for-service (FFS) Medicare beneficiaries admitted for Medicare-paid (with prospective payment system) skilled nursing facility (SNF) care in 2011.

resultsSome 94% of hospitalization events in Medicare claims can be identified using MDS discharge records and 87% of hospitalization events detected in MDS data can be verified by Medicare hospital claims. Death can be identified almost perfectly from MDS discharge records. More than 99% of the variation in nursing home-level 30-day rehospitalization rate calculated using claims data can be explained by the same rates calculated using MDS. Nursing home structural characteristics explain only 5% of the variation in nursing home-level sensitivity and 3% of the variation in nursing home-level specificity.

conclusionThe new MDS 3.0 discharge record matches Medicare enrollment and hospitalization claims events with a high degree of accuracy, meaning that hospitalization rates calculated based on MDS offer a good proxy for the "gold standard" Medicare data.

Indexed as

Insurance Claim ReportingMedicareNursing HomesPatient DischargeDatasets as TopicHumansSensitivity and SpecificityUnited StateshospitalizationMedicareMinimum Data SetSensitivityspecificity

Identifiers

PMID25179533
PMCPMC4731611

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.