ArticleJournal of the American Geriatrics Society2026
Characteristics of the Long-Term Care Data Cooperative: A New Resource for Research on Outcomes in Long-Term Care.
Article in Journal of the American Geriatrics Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Aligning Research With Practice: Nursing Home Providers' Priorities for Long-Term Care Research.Journal of the American Geriatrics Society · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundThe long-term care (LTC) Data Cooperative is a National Institute on Aging-funded data resource that links skilled nursing facility (SNF) electronic health record (EHR) data with Medicare and Medicaid claims for use in comparative effectiveness and interventional research. Here we characterize the population of residents and SNFs represented in the LTC Data Cooperative and report on the completeness of key data elements.
methodsWe compared facility and resident characteristics between SNF participants in the LTC Data Cooperative in 2023 and all US SNFs. We examined frequencies and variation in documentation of key EHR data elements including resident census data, vital signs, blood glucose readings, medication administration records, and immunizations.
resultsThe LTC Data Cooperative included 2557 SNFs in 48 states plus D.C. in 2023, or 17% of US SNFs. The LTC Data Cooperative population was generally similar to the national population with small differences including being slightly older (21.3% under age 65 vs. 23.8% in the national population); having fewer females (61.0% vs. 63.2%), fewer Black residents (15.1% vs. 17.5%); and fewer residents with dementia (45.5% vs. 47.2%). Data availability varied across SNFs, however most had relatively consistent documentation of key elements. The number of SNFs with vital sign records available on at least 80% of days ranged from 2248 SNFs for temperature documentation to 2303 SNFs for blood pressure documentation. Approximately 2300 SNFs (90%) had at least some medication administration records available, while 2485 SNFs (97%) had immunization records.
conclusionsThe LTC Data Cooperative offers novel EHR data capturing clinical measures not available in the Minimum Data Set or claims data on a SNF resident population that is comparable to the national population. Studies using these data can generate evidence to inform and improve clinical care and outcomes for older adults in the SNF setting.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.