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Find studies

Showing 1–8 of 8 studies matching “delirium” in Health systems and care delivery · 27,380 in the whole library · How the 0–100 score works

Browse by subject, author or institution

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

What “Health systems and care delivery” covers

Health systems and care delivery — How health systems organise, coordinate and pay for dementia care, and where and how people with dementia actually receive it.

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.

Delirium and incident nursing home admission among people with and without dementia

✓ Peer-reviewed alzhub usefulness score 73 out of 100. Age and ageing 2026-05-03

Delirium was associated with a higher risk of nursing home admission in participants without dementia (SHR 1.23, 95% CI 1.14-1.34) and with pre-existing dementia (SHR 1.22, 95% CI 1.07-1.38). 5 key findings →

Design: cohort study Participants: 13 Evidence: moderate

Observational and audit data were collected for 181 patients (average age = 82.5 years) across the two hospitals. 5 key findings →

Participants: 181 Evidence: low

Since 2007, the Medicare Severity Diagnosis Related Groups classification system has favored billing codes for acute encephalopathy over delirium codes in determining hospital reimbursement and several quality-of-care value metrics, despite broad overlap between these sets of diagnostic codes. 2 key findings →

Evidence: low

Delirium in the Nursing Home Setting

✓ Peer-reviewed alzhub usefulness score 24 out of 100. Psychiatry in Long-Term Care 2009-03-06

Although extensively studied in the acute care setting, the syndrome of delirium— also referred to as acute confusion—has been a subject of relatively few studies in the long-term care (LTC) setting. 1 key finding →

Evidence: low

Introduction to Special Issue: Translational Research on Pain and Pain Management in Later Life

✓ Peer-reviewed alzhub usefulness score 55 out of 100. Innovation in Aging 2023-12-01

Prevalence studies indicate that as many as 50% of older adults experience bothersome pain on a regular basis (Dahlhamer et al., 2018; Galicia-Castillo & Weiner, 2023; Larsson et al., 2017; Lin et al., 2020; Rikard et al., 2023). 5 key findings →

Design: randomized controlled trial Participants: 2,041 Evidence: high

Of members initiated on an antimuscarinic OAB medication, 31.1% had a drug-drug or drug-disease or syndrome interaction. 5 key findings →

Participants: 66,275 Evidence: low

Potentially inappropriate medication (PIM) use-defined as the use of high-risk medications that can increase the risk of adverse events such as physical, cognitive, and functional decline; delirium; hospitalizations; and mortality-remains a significant concern in older adults in the US.Numerous guidelines, including the American Geriatrics Society Beers Criteria 1 and the STOPP criteria, 2 define PIMs as medications for which the risk of adverse effects outweighs potential benefits or are inappropriate for specific populations or disease states, such dementia or kidney disease.PIM use may be particularly harmful in populations experiencing other health care disparities, as communities experiencing other consequences of health care inequity, including limited access to physicians or pharmacies, greater financial stress, and a higher comorbidity burden, may experience disproportionate effects from the adverse consequences of PIM use. 1 key finding →

Evidence: low

3D Team Care Management Trial: Study Design Features and Participant Characteristics

✓ Peer-reviewed alzhub usefulness score 31 out of 100. Innovation in Aging 2020-12-01

This clinical trial was designed in partnership with a Medicare Advantage (MA) plan, with the goal of comparing two care management approaches for its MA policyholders age >65 living with cognitive vulnerability. 5 key findings →

Evidence: high

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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 27,380 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 27,380 records, built mostly from automated pulls of Europe PMC (60.6% of the library) and OpenAlex (18.6%), 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.

1,032 records (3.8% 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 →

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