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Find studies

Showing 1–25 of 35 studies in Caregiving · tagged Digital Tools (page 1 of 2) · 27,780 in the whole library · How the 0–100 score works

Download bibliography of these 35 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 “Caregiving” covers

Caregiving — Research on the people doing the caring: their health, their workload, and what support actually helps.

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.

We tested the trained model using five other studies, three of which used PET as a biomarker of significant amyloid β burden (testing the deep learning model between amyloid β positive vs amyloid β negative). 2 key findings →

Design: case-control study Participants: 648 Evidence: moderate

This study included 54 articles, comprising 14,446 participants from 10 countries. 5 key findings →

Design: randomized controlled trial Participants: 54 Evidence: high

The effects on depression and other outcomes were consistent with those observed for in-person programs, suggesting the viability of well-designed automated intervention. 2 key findings →

Design: RCT Participants: 274 Evidence: moderate

Improving digital technology for caregivers requires studies with larger populations and longitudinal outcomes. 1 key finding →

Design: RCT Participants: 240 Evidence: early

One hundred sixteen participants consented and 93 (46 waitlist control, 47 intervention) were included in the analyses. 3 key findings →

Design: RCT Participants: 93 Evidence: null result

Of the 62 caregivers approached, 60 enrolled (96.7%), and 54 completed the study (90% retention). 5 key findings →

Design: randomized controlled trial Evidence: high

Future studies should prioritize short-term interventions and develop integrated approaches combining individual and group formats. 2 key findings →

Design: meta-analysis Participants: 750 Evidence: moderate

The increasing prevalence of Alzheimer’s disease and related dementias (ADRD) places growing strains on family caregivers. 1 key finding →

Design: systematic review Participants: 24 Evidence: high

Person-centered care provides a critical framework for dementia support in long-term care facilities, emphasizing attention to each resident's evolving needs, personal history, preferences, and values. 2 key findings →

Design: longitudinal study Evidence: moderate

Tele-STAR reduced caregiver burden and retained good program and treatment fidelity to STAR-C. We found Tele-STAR reduced caregiver burden and had good fidelity to the original protocol. 4 key findings →

Participants: 13 Evidence: low

Frequently reported factors included self-management support, information access, and enhanced communication, although these were not consistently addressed across all reviews. 5 key findings →

Design: umbrella review Participants: 279 Evidence: low

Dementia, particularly Alzheimer's Disease, continues to be a significant global health concern, driven by increasing prevalence as the population ages. 1 key finding →

Evidence: low

This study constitutes both a scoping review and a concept analysis, as it systematically examines digital literacy across settings (home, assisted living facilities, and other long-term care facilities) in the context of persons with dementia and their caregivers. 4 key findings →

Evidence: low

Family caregivers of individuals with Alzheimer’s Disease and Related Dementia (AD/ADRD) face significant emotional and logistical challenges that place them at heightened risk for stress, anxiety, and depression. 2 key findings →

Evidence: low

With the rising number of dementia cases, supporting family caregivers to maintain their well-being is crucial. 4 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