Evidence map›Paper›PMID 39806696›Full record

ArticleBMJ open2024

Digital health technologies for metabolic disorders in older adults: a scoping review protocol.

Panitda Huynh, Elgar Fleisch, Michael Brändle, Tobias Kowatsch, Mia Jovanova

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Panitda HuynhUniversity of St Gallen, St Gallen, Switzerland.ORCID 0000-0002-1169-2271
Elgar FleischInstitute of Technology Management, University of St. Gallen, St. Gallen, Switzerland.
Michael BrändleInternal Medicine & Endocrinology Diabetes, Kantonsspital St Gallen, Sankt Gallen, Switzerland.
Tobias KowatschInstitute of Implementation Science in Health Care, University of Zurich, Zurich, Switzerland tkowatsch@ethz.ch.ORCID 0000-0001-5939-4145
Mia JovanovaUniversity of St Gallen, St Gallen, Switzerland.ORCID 0000-0003-3634-4449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMetabolic disorders (type 2 diabetes, insulin resistance, hyperglycaemia, obesity, hyperlipidaemia, hypertension, non-alcoholic fatty liver disease and metabolic syndrome) are leading causes of mortality and disability worldwide. These disorders disproportionately affect older adults relative to those younger. Digital health technologies (DHTs), such as patient monitoring, digital diagnostics and digital therapeutics, emerge as promising tools for health promotion in day-to-day life. However, their role in targeting metabolic disorders, particularly among a key demographic of older adults, is not yet fully understood. Thus, this study aims to scope the use of DHTs in managing metabolic health disorders among older adults. To our knowledge, this is the first review to categorise DHTs for older adults with metabolic disorders, contributing to the growing literature in the intersection of metabolic disorders and DHTs. METHODS AND ANALYSIS: We will conduct a scoping review following the recommended framework by Arksey and O'Malley. Our search will focus on three primary concepts: metabolic disorders, DHTs and older adults. We plan to search five online databases (Cochrane, ScienceDirect, PubMed, Scopus and Web of Science) to identify original research articles published between January 2014 and January 2024. Two independent reviewers will screen articles based on predefined eligibility criteria, with a third reviewer resolving conflicts. Data will be extracted using a standardised form, and results will be synthesised qualitatively and quantitatively. The database searches, data collection and analysis are planned and have not been conducted. ETHICS AND DISSEMINATION: No ethics approval is required for this protocol and scoping review. Data will be used only from published studies with appropriate ethics approval. Results will be disseminated in a peer-reviewed publication.

Indexed as

Biomedical TechnologyDigital TechnologyMetabolic DiseasesAgedDigital HealthHumansResearch DesignScoping Reviews as TopicTelemedicineAgingChronic DiseaseDIABETES & ENDOCRINOLOGYDigital TechnologyGERIATRIC MEDICINETelemedicine

Identifiers

PMID39806696
PMCPMC11667459

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.