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Find studies

Showing 1–25 of 28 studies in Health systems and care delivery · tagged Digital Tools (page 1 of 2) · 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.

The inclusion criteria for peer-reviewed English publications from March 2020 to August 2022 consisted of studies related to telehealth services for people living with dementia and their family caregivers and studies conducted during the COVID-19 pandemic. 5 key findings →

Design: randomized controlled trial Participants: 24 Evidence: high

Rapid health technology assessment of galantamine for the treatment of Alzheimer's disease: A review

✓ Peer-reviewed alzhub usefulness score 52 out of 100. Medicine 2025-06-09

This study evaluates the efficacy, safety, and economics of galantamine in the treatment of Alzheimer disease (AD) patients, and to provide evidence-based reference for optimizing drug selection, dosing strategies, and reimbursement policies in clinical practice. 5 key findings →

Design: systematic review Evidence: high

Discussions revealed that people were generally supportive of this type of research, provided they gave informed consent and that devices were discreet, comfortable and easy to use. 4 key findings →

Participants: 30 Evidence: low

Of 15,390 narratives collected from 3139 patients with PsA for exploratory analysis, physical concepts were the most common (81.5%), followed by emotional (50.7%), cognitive (20.0%), role activity (8.1%), and social (5.6%) concepts. 5 key findings →

Participants: 3,139 Evidence: low

Among 421,131 MA beneficiaries, telehealth use increased sharply in Q2 2020 for both ADRD and non-ADRD groups, peaking at 33.9 and 30.6% respectively. 5 key findings →

Design: cohort study Evidence: moderate

The expert panel from Croatia, Czech Republic, Hungary, Poland, Romania, Slovakia and Slovenia discussed the current situation of various topics related to the diagnostics, general management and treatment of Alzheimer's disease (AD) in these Central Eastern European (CEE) countries, representing around 88 million population. 1 key finding →

Evidence: low

Reimbursement decisions for new Alzheimer's disease (AD) treatments are informed by economic evaluations. 3 key findings →

Evidence: moderate

There were 13,700 beneficiaries with full-year enrollment in MA (6,046) or TM (7,724), 518 with ADRD and 13,252 without ADRD. 5 key findings →

Design: cross-sectional Evidence: low

The overall design-oriented need referred to clear situation classifications including urgent care (fall- and wandering detection), non-urgent care (deviations in eating, drinking, sleeping), and future care (risk predictions). 2 key findings →

Participants: 25 Evidence: low

We found a significant increase in the likelihood of AWV uptake among telehealth adopters by 10.2 percentage points (p <0.001) than non-adopters of telehealth in traditional FFS Medicare plans. 5 key findings →

Design: longitudinal study Evidence: moderate

We found a significant increase in the likelihood of AWV uptake among telehealth adopters by 10.2 percentage points (p <0.001) than non-adopters of telehealth in traditional FFS Medicare plans. 5 key findings →

Design: longitudinal study Evidence: moderate

Artificial intelligence (AI) has stimulated extensive research in clinical neurology, but relatively few AI systems have meaningfully changed bedside decision-making. 5 key findings →

Design: longitudinal study Evidence: moderate

Telehealth Use by Home Health Agencies Before, During, and After COVID-19

✓ Peer-reviewed alzhub usefulness score 37 out of 100. Health services research 2025-05-22

To examine telehealth adoption and discontinuation by home health agencies (HHAs) during the COVID-19 pandemic in the context of telehealth pre-pandemic diffusion into the industry and its continued use once the pandemic abated. 1 key finding →

Evidence: low

Remote monitoring (RM) technology can support home-based dementia care by enabling (in)formal caregivers to monitor the health and safety of people with dementia remotely. 1 key finding →

Participants: 20 Evidence: low

In this update, we examine a checklist for real-world evidence use in Medicare drug price negotiations under the Inflation Reduction Act, a review of health technology assessment reassessments across major health technology assessment agencies, and two complementary studies that used natural experiment approaches to explore the relationship between herpes zoster vaccination and reduced dementia risk. 1 key finding →

Evidence: low

Successfully embedding technology into long-term care settings requires intentional, evidence-based community engagement strategies that address the unique needs of providers, caregivers, and persons living with dementia. 1 key finding →

Participants: 17 Evidence: low

Through systematic instruction and retraining visual and sustained attention, the patient was able to engage meaningfully with a high-tech device to increase functional personal choice when supported by a partner. 2 key findings →

Design: case report 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 27,380 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 →

Newest studies, as a dated timeline →    Atom feed