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Find studies

Showing 1–25 of 36 studies in Disparities · tagged Care Services (page 1 of 2) · 27,780 in the whole library · How the 0–100 score works

Download bibliography of these 36 studies, in this order: BibTeX (.bib) · RIS (.ris)

Browse by subject, author or institution

Each number is how many studies that link shows, with your other filters kept.

What “Disparities” covers

Disparities — Differences in dementia risk, diagnosis and care across race, ethnicity, income, geography and sex.

A note on reading research. One study is rarely the final word.

We try to note the size of a study, whether it was in humans or animals, and how early-stage the finding is. If a summary here doesn't make that clear, treat it with extra caution and check the original source.

Dementia diagnosis recording in general hospitals is increasing but remains less likely in some groups. 1 key finding →

Design: cohort study Participants: 21,387 Evidence: moderate

The cohort sample included 5058 beneficiaries with dementia (mean [SD] age, 85.5 [8.0] years; 3038 women [60.1%]; 809 [16.0%] non-Hispanic Black, 357 [7.1%] Hispanic, and 3892 non-Hispanic White respondents [76.9%]). 4 key findings →

Design: cohort study Participants: 5,058 Evidence: moderate

Antipsychotic initiation and use were common during hospitalization, most often for delirium, and individuals were frequently discharged on these medications. 3 key findings →

Design: cohort study Participants: 17,775 Evidence: moderate

Among hospitalized older adults with serious illness, a pragmatic clinician-facing communication-priming intervention significantly improved documentation of goals-of-care discussions in the electronic health record, with a greater effect size in racially or ethnically minoritized patients. 3 key findings →

Participants: 3,918 Evidence: high

Age, sex, functional limitation, and malnutrition seem to be the strongest predictors of death for patients with Alzheimer's disease in nursing homes. 3 key findings →

Design: longitudinal study Participants: 9,264 Evidence: moderate

Use of Feeding Tubes Among Hospitalized Older Adults With Dementia

✓ Peer-reviewed alzhub usefulness score 57 out of 100. JAMA Network Open 2025-02-20

Among 143 331 older adults with dementia (83 536 [58.3%] female; mean [SD] age, 83.8 [7.5] years), 1312 (0.9%) received a feeding tube in hospital and 142 019 (99.1%) did not. 5 key findings →

Design: cohort study Evidence: moderate

Variation in use of APMs in U.S. nursing homes based upon facility characteristics exemplifies the need for a more systematic protocol guiding the use of these medications, along with heightened regulatory policies and enforcement. 2 key findings →

Design: meta-analysis Evidence: high

Directives to forgo hospitalization for U.S. NH residents with advanced dementia are uncommon and are associated with the organizational features of the facilities caring for them and the intensity of end-of-life care practiced in the region, as well as individual resident characteristics. 5 key findings →

Design: cross-sectional Participants: 91,521 Evidence: low

Care for U.S. nursing home residents with LRI and dementia is more aggressive than care for Dutch residents, particularly in residents with severe dementia. 3 key findings →

Design: cohort study Participants: 36 Evidence: moderate

Reduced ED attendances in the first wave of the pandemic suggest opportunities for reducing low severity presentations to ED in the future, but also raise the possibility of harm from delayed or missed care. 4 key findings →

Participants: 243,667 Evidence: low

Health care aides frequently report care that is rushed and tasks omitted due to lack of time. 4 key findings →

Design: cross-sectional Participants: 583 Evidence: low

In multivariate analysis, feeding tube use was found to be associated with swallowing problems (odds ratio (OR) 5.4, 95% confidence interval (CI) 4.3-6.8); urban location of nursing home (OR 2.9, 95% CI 2.3-3.5); non-white race (OR 2.7, 95% CI 1.9-3.6); stroke (OR 2.5, 95% CI 2.0-3.1); and absence of dementia (OR 2.5, 95% CI 2.0-3.1). 5 key findings →

Design: cross-sectional Participants: 4,997 Evidence: low

A diagnosis of dementia confers an increased risk of either death or further admission within the following 12 months, highlighting the need for better cognitive screening in the acute setting, as well as targeted intervention such as comprehensive geriatric assessment. 3 key findings →

Participants: 190 Evidence: moderate

Measuring primary care patients' attitudes about dementia screening

✓ Peer-reviewed alzhub usefulness score 49 out of 100. International journal of geriatric psychiatry 2008-08-01

The PRISM-PC questionnaire captures primary care patients' acceptance, perceived harms, and perceived benefits of dementia screening. 2 key findings →

Design: cross-sectional Participants: 315 Evidence: low

Improving identification of cognitive impairment in primary care

✓ Peer-reviewed alzhub usefulness score 48 out of 100. International journal of geriatric psychiatry 2006-04-01

A heterogeneous community sample (n=371) of predominantly ethnic minority elderly assessed by standardized research protocol, 231 of whom met criteria for dementia or mild cognitive impairment (MCI). 2 key findings →

Participants: 371 Evidence: low

In individuals without a prior diagnosis of cognitive impairment, the prevalence of dementia was low, but the prevalence of CIND was high. 1 key finding →

Design: cross-sectional Evidence: low

Previous studies have indicated a prevalence of dementia in older admissions of ∼42% in a single London teaching hospital, and 21% in four Queensland hospitals. 1 key finding →

Evidence: low

This study estimated the prevalence of dementia in 2,285 new admissions age 65+ to a statewide sample of 59 nursing homes in Maryland, 1992-1995. 3 key findings →

Evidence: low

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Where “Free full text” comes from

Free full text links and the Full text may need a subscription label come from Unpaywall, Europe PMC and OpenAlex records of free copies, checked 10 Oct 2026. A study with neither is unknown, not paywalled. Show only studies that are free to read

How the 0–100 score works — and why some entries are capped

This is alzhub's own score. It is not an official metric, not an impact factor, and no journal, publisher or ranking body endorses it. We built it so that a reader who is not a scientist can tell a landmark trial from a conference abstract without having to already know the difference. Every point comes from one of 20 components, all of them printed on the study itself, so you can disagree with our arithmetic rather than having to trust the total.

  • Journal tier up to 10 pts
  • Journal's citation record up to 4 pts
  • Study design up to 12 pts
  • Strength of evidence up to 5 pts
  • Peer-review validation up to 10 pts
  • How recent up to 5 pts
  • Sample size up to 4 pts
  • Effect reported up to 3 pts
  • Studied in people up to 3 pts
  • Randomised / blinded up to 2 pts
  • Times cited up to 7 pts
  • Citations per year up to 5 pts
  • Impact for its field and year up to 6 pts
  • Cited by studies here up to 6 pts
  • Still being cited up to 4 pts
  • Senior author's track record up to 4 pts
  • Institution's track record up to 3 pts
  • Multi-centre collaboration up to 3 pts
  • Indexed in PubMed up to 2 pts
  • Free to read up to 2 pts

Journals are placed in ordered tiers, never given a numeric impact factor — we could not verify current impact factors from a source we control, and an invented one would be worse than none. Tier 1 is the top-tier general journals (NEJM, The Lancet, JAMA, Nature, Science, Nature Medicine); tier 2 is the leading specialty journals; tier 3 is every other peer-reviewed journal. A separate part scores how much the journal's own papers are cited, which tells the tier-3 journals apart.

Two rules we don't bend. First, we never fill in a missing value: if a record does not state a sample size or a design, that component scores zero, and if we simply have no data for a part, such as a citation count, that part is left out and the study is scored on the parts we could check. The study card says which. Second, anything that is not a peer-reviewed article is capped at 16/100 and carries a warning chip — so a conference abstract or a company press release can never outrank a peer-reviewed paper, no matter how good it looks.

We rank a rigorous null result — a good trial showing that something does not work — above an early positive finding. Someone deciding whether to buy a supplement is served by that, and the rigour is already counted by the design and journal components.

The score is computed from the published data alone and is reproducible: the same file always yields the same numbers.

See the whole rubric drawn out → — four charts covering all 27,780 studies: how the scores are spread and where the cap bites, which of the 20 components the library is strong and weak on, which subjects rest on stronger evidence, and what kinds of study each subject is actually built from.

What this library is — and isn't

This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 27,780 records, built mostly from automated pulls of Europe PMC (61.1% of the library) and OpenAlex (18.3%), plus smaller pulls from PubMed, Crossref and medRxiv. If a study, a drug, or a finding isn't here, that is not evidence it doesn't exist in the literature — it may simply not have been pulled in yet.

1,034 records (3.7% of the library) are not peer-reviewed — 962 of those are preprints posted before any journal review, and the rest are conference abstracts, regulatory notices and reports. Every study card on this page states its status plainly, and the score above is capped for anything that isn't a peer-reviewed article.

See the full, machine-readable breakdown of this library's coverage →

Newest studies, as a dated timeline →    Atom feed