ArticleJournal of the American Medical Directors Association2022
The Long-Term Care Data Cooperative: The Next Generation of Data Integration.
Article in Journal of the American Medical Directors Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed.
- Characteristics of the Long-Term Care Data Cooperative: A New Resource for Research on Outcomes in Long-Term Care.Journal of the American Geriatrics Society · 2026Article
- Aligning Research With Practice: Nursing Home Providers' Priorities for Long-Term Care Research.Journal of the American Geriatrics Society · 2026Article
- Exacerbation of racial disparities in COVID-19 outcomes by Alzheimer's disease and related dementias among nursing home residents.American journal of epidemiology · 2026Article
- Spotlighting the need for integrated health information technologies and databases to combat infections and sepsis in long-term care facilities.Innovation in aging · 2026Article
- Best Practices for Data Modernization Across the United States Public Health System: Scoping Review.Journal of medical Internet research · 2025Article
- Article
- PEARLES challenges and solutions to the implementation of clinical research responses to epidemics and pandemics: a scoping review.EClinicalMedicine · 2025Review
- Evaluation of COVID-19 Diagnosis Codes for Identification of SARS-CoV-2 Infections in a Nursing Home Cohort, 2022-2023.Journal of the American Medical Directors Association · 2025Article
- Generating and translating evidence for safe and effective medication management in aged care homes.British journal of clinical pharmacology · 2025Review
- Enhancing Standardized and Structured Recording by Elderly Care Physicians for Reusing Electronic Health Record Data: Interview Study.JMIR medical informatics · 2024Article
- Analgesic regimens administered to older adults receiving skilled nursing facility care following hip fracture: a proof-of-concept federated analysis.BMC geriatrics · 2024Article
- Use of electronic health record data to examine administrations of pro re nata analgesics during hip fracture post-acute care.Pharmacoepidemiology and drug safety · 2024Article
- The NIA IMPACT Collaboratory: History, impact, challenges, and the future of conducting ePCTs to improve dementia care.Journal of the American Geriatrics Society · 2024Article
- Nursing home infection control strategies during the COVID-19 pandemic.Journal of the American Geriatrics Society · 2023Article
- The Burden and Treatment of Chronic Constipation Among US Nursing Home Residents.Journal of the American Medical Directors Association · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Despite important advances in the linkage of residents' Medicare claims and Minimum Data Set (MDS) information, the data infrastructure for long-term care remains inadequate for public health surveillance and clinical research. It is widely known that the evidence base supporting treatment decisions for older nursing home residents is scant as residents are systematically excluded from clinical trials. Electronic health records (EHRs) hold the promise to improve this population's representation in clinical research, especially with the more timely and detailed clinical information available in EHRs that are lacking in claims and MDS. The COVID-19 pandemic shined a spotlight on the data gap in nursing homes. To address this need, the National Institute on Aging funded the Long-Term Care (LTC) Data Cooperative, a collaboration among providers and stakeholders in academia, government, and the private sector. The LTC Data Cooperative assembles residents' EHRs from major specialty vendors and facilitates linkage of these data with Medicare claims to create a comprehensive, longitudinal patient record. These data serve 4 key purposes: (1) health care operations and population health analytics; (2) public health surveillance; (3) observational, comparative effectiveness research; and (4) clinical research studies, including provider and patient recruitment into Phase 3 and Phase 4 randomized trials. Federally funded researchers wanting to conduct pragmatic trials can now enroll their partnering sites in this Cooperative to more easily access the clinical data needed to close the evidence gaps in LTC. Linkage to Medicare data facilitates tracking patients' long-term outcomes after being discharged back to the community. As of August 2022, nearly 1000 nursing homes have joined, feedback reports to facilities are being piloted, algorithms for identifying infections are being tested, and proposals for use of the data have been reviewed and approved. This emerging EHR system is a substantial innovation in the richness and timeliness of the data infrastructure of the nursing home population.
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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.