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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 47 out of 100. Health systems and care delivery

Topic: Risk, prevention and care in population studies

The most important predictors of having a diagnosis of ADRD by the start of care OASIS assessment were a prior discharge diagnosis of ADRD among those admitted from an inpatient setting, and frequently exhibiting symptoms of confusion. Results from the parsimonious model were consistent across the four annual cohorts and OASIS versions with high specificity (above 96%), but poor sensitivity (below 58%). The positive predictive value was high, over 87% across study years. The proposed algorithm has high accuracy, requires a single OASIS assessment, is easy to implement without sophisticated statistical models, and can be used across four OASIS versions and in situations where claims are not available to identify individuals with a diagnosis of ADRD, including the growing population of Medicare Advantage beneficiaries.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Bélanger, E., Rosendaal, N. T. A., Gutman, R., Lake, D. T., Santostefano, C. M., Meyers, D. J., et al. (2023). Identifying Medicare beneficiaries with Alzheimer's disease and related dementia using home health OASIS assessments. Journal of the American Geriatrics Society. https://doi.org/10.1111/jgs.18487

Vancouver

Bélanger E, Rosendaal NTA, Gutman R, Lake DT, Santostefano CM, Meyers DJ, et al. Identifying Medicare beneficiaries with Alzheimer's disease and related dementia using home health OASIS assessments. Journal of the American Geriatrics Society. 2023. doi:10.1111/jgs.18487. PMID: 37358283.

BibTeX

@article{belanger2023-37358283,
  author  = {Bélanger, Emmanuelle and Rosendaal, Nicole T. A. and Gutman, Roee and Lake, Derek T. and Santostefano, Christopher M. and Meyers, David J. and Gozalo, Pedro L.},
  title   = {{Identifying Medicare beneficiaries with Alzheimer's disease and related dementia using home health OASIS assessments}},
  journal = {Journal of the American Geriatrics Society},
  year    = {2023},
  doi     = {10.1111/jgs.18487},
  pmid    = {37358283},
  url     = {https://doi.org/10.1111/jgs.18487}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 7 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.

Key findings

Why it matters

This study developed an algorithm using home health assessment data to identify Medicare beneficiaries with Alzheimer's disease and related dementias, with high specificity but poor sensitivity. It does not test any treatment, cure, or prevention for Alzheimer's disease.

Study details

How this study scored 47/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 7 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 3 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomized / blinded 0 of 2; Times cited 2 of 7; Citations per year 1 of 5; Impact for its field and year 2 of 6; Cited by studies here 1 of 6; Still being cited 1 of 4; Senior author's track record 2 of 4; Institution's track record 1 of 3; Multicenter collaboration 0 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 47 of 100.47 of 100 points earned53 not earned

Published in a peer-reviewed journal, and it is a cohort study following people over time. Scored zero for sample size, effect reported, studied in people and randomized / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Journal of the American Geriatrics Society)
Journal's citation record 3 / 4 Journal of the American Geriatrics Society: journal h-index 344 (OpenAlex, 2026-10-29)
Study design 7 / 12 A cohort study following people over time
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 3 / 5 2023 — within 6 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomized / blinded 0 / 2 No randomization or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 2 / 7 Cited 8 times (OpenAlex, 2026-10-10)
Citations per year 1 / 5 1.6 citations a year over 5 year(s) since 2023
Impact for its field and year 2 / 6 Cited 1.4× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 1 / 6 Cited by 1 other studies in this library
Still being cited 1 / 4 Cited 8 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Pedro L. Gozalo: h-index 46 (OpenAlex, whole career)
Institution's track record 1 / 3 Brown University: institution h-index 1,120 (OpenAlex)
Multicenter collaboration 0 / 3 OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete)
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 37358283)
Free to read 2 / 2 Free to read
Total 47 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

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