Evidence map›Paper›PMID 34954649›Full record

ArticleArchives of gerontology and geriatrics

A qualitative study of older adults' facilitators, barriers, and cues to action to engage in falls prevention using health belief model constructs.

Jennifer L Vincenzo, Susan Kane Patton, Leanne L Lefler, Pearl A McElfish, Jeanne Wei, Geoffrey M Curran

Open access · greenAbstract read
In one paragraph

Article in Archives of gerontology and geriatrics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
14.7field-weighted citation impact, top 1% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Reframing Communication about Fall Prevention Programs to Increase Older Adults' Intentions to Participate.International journal of environmental research and public health · 2024
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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

6 authors at 3 institutions in 1 country.

Jennifer L VincenzoUniversity of Arkansas for Medical Sciences, Department of Physical Therapy, College of Health Professions, United States. Electronic address: JLVincenzo@uams.edu.
Susan Kane PattonUniversity of Arkansas, Department of Nursing, College of Education and Health Professions, United States. Electronic address: SKPatton@uark.edu.
Leanne L LeflerUniversity of Arkansas for Medical Sciences, College of Nursing, United States. Electronic address: LeflerLeanne@uams.edu.
Pearl A McElfishUniversity of Arkansas for Medical Sciences, Office of Community Health and Research, United States. Electronic address: PAMcelfish@uams.edu.
Jeanne WeiUniversity of Arkansas for Medical Sciences, Department of Geriatrics, College of Medicine, Reynolds Institute on Aging, United States. Electronic address: WeiJeanne@uams.edu.
Geoffrey M CurranUniversity of Arkansas for Medical Sciences, Departments of Pharmacy Practice and Psychiatry, Central Arkansas Veterans Healthcare System, United States. Electronic address: CurranGeoffreym@uams.edu.
University of Arkansas for Medical Sciences · USArkansas Department of Education · USInstitute on Aging · US

Funding

Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
Arkansas Center for Clinical and Translational ResearchUL1TR000039 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI BECK, CORNELIA MARIE, JAMES, LAURA P · 2012 to 2014
$10.0M
Institutional Career DevelopmentKL2TR003108 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI ARTHUR, JOHN M., BORSHEIM, ELISABET · 2019 to 2023
$2.3M
NCATS NIH HHS KL2 TR003108NCATS NIH HHS UL1 TR000039NCATS NIH HHS UL1 TR003107
6 · The paper itself

Abstract

BACKGROUND AND

objectivesFalls are the leading cause of fatal and nonfatal injuries among older adults. Decreasing falls is highly dependent on engagement in fall prevention activities. The Health Belief Model (HBM) theoretical framework was used to explore older adults' perceptions about falls prevention. RESEARCH DESIGN AND

methodsAn informed grounded theory approach was applied. Four focus groups were conducted using semi-structured interview guides based on the HBM with 27 community-dwelling older adults (average age = 78 years). Deductive content analysis was used to apply constructs of the HBM to the data and explain the findings.

resultsPotential reasons for not engaging in falls prevention included lack of self-perceived severity, susceptibility, and self-efficacy with a subtheme of lack of information about falls prevention from medical providers. Potential facilitators included older adults' knowledge and current engagement in falls prevention and socializing while engaging in falls prevention. Participants recommended cues to action to improve engagement in falls prevention from family, friends, physicians, pharmacists, and insurance companies; and using various modes to deliver cues to action, including print, audiovisual, online, and reminders. DISCUSSION AND IMPLICATIONS: In this study, the HBM was used to understand older adults' potential barriers, facilitators, and cues to action to support engagement in falls prevention. Engagement in fall prevention behaviors could be improved by addressing barriers such as lack of knowledge, and lack of self-perceived severity and susceptibility to falls. Reinforcing the benefits of fall prevention, and promoting cues to action to engage in falls prevention may also support engagement.

Indexed as

Accidental FallsCuesAgedHealth Belief ModelHumansIndependent LivingQualitative ResearchAccidental injuryImplementation science

Identifiers

PMID34954649
PMCPMC9344858
OpenAlexW4200090816

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.