Evidence map›Paper›PMID 26957186›Full record

ReviewProgress in cardiovascular diseases

Adapting Technological Interventions to Meet the Needs of Priority Populations.

Sarah E Linke, Britta A Larsen, Becky Marquez, Andrea Mendoza-Vasconez, Bess H Marcus

Open access · greenAbstract readReview
In one paragraph

Review in Progress in cardiovascular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 3% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Effectiveness, feasibility, and acceptability of behaviour change tools used by family doctors: a global systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Digital Health-Supported Lifestyle Change Programs to Prevent Type 2 Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2018
    Article
  9. Article
  10. Review
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 at 1 institution in 1 country.

Sarah E LinkeDepartment of Family Medicine & Public Health, University of California San Diego, La Jolla, CA. Electronic address: slinke@ucsd.edu.
Britta A LarsenDepartment of Family Medicine & Public Health, University of California San Diego, La Jolla, CA.
Becky MarquezDepartment of Family Medicine & Public Health, University of California San Diego, La Jolla, CA.
Andrea Mendoza-VasconezDepartment of Family Medicine & Public Health, University of California San Diego, La Jolla, CA.
Bess H MarcusDepartment of Family Medicine & Public Health, University of California San Diego, La Jolla, CA.
University of California, San Diego · US

Funding

Improving communication and collaboration for weight management in mother-daughter dyadsK01HL130726 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARQUEZ, BECKY · 2016 to 2020
$752k
NHLBI NIH HHS K01 HL130726
6 · The paper itself

Abstract

Cardiovascular diseases (CVD) comprise the leading cause of mortality worldwide, accounting for 3 in 10 deaths. Individuals with certain risk factors, including tobacco use, obesity, low levels of physical activity, type 2 diabetes mellitus, racial/ethnic minority status and low socioeconomic status, experience higher rates of CVD and are, therefore, considered priority populations. Technological devices such as computers and smartphones are now routinely utilized in research studies aiming to prevent CVD and its risk factors, and they are also rampant in the public and private health sectors. Traditional health behavior interventions targeting these risk factors have been adapted for technology-based approaches. This review provides an overview of technology-based interventions conducted in these priority populations as well as the challenges and gaps to be addressed in future research. Researchers currently possess tremendous opportunities to engage in technology-based implementation and dissemination science to help spread evidence-based programs focusing on CVD risk factors in these and other priority populations.

Indexed as

Biomedical TechnologyDelivery of Health Care, IntegratedHealth PrioritiesHealth Services Needs and DemandNeeds AssessmentTelemedicineVulnerable PopulationsCardiovascular DiseasesDiabetes Mellitus, Type 2ExerciseHealth BehaviorHealthcare DisparitiesHealth Knowledge, Attitudes, PracticeHumansMinority GroupsObesityCardiovascular diseaseHealth behaviorsRisk factorsTechnology-based interventionsVulnerable populations

Identifiers

PMID26957186
PMCPMC8232394
OpenAlexW2292939401

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.