Evidence map›Paper›PMID 39194324›Full record

ArticleJournal of gerontological nursing2024

Recruitment Strategies for a Technology-Based Fall Risk Assessment Research Study Among Community-Dwelling Older Adults During a Global Pandemic.

Eunice Oladepe Ojo, Ladda Thiamwong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of gerontological nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Eunice Oladepe Ojo
Ladda Thiamwong

Funding

Optimizing a technology-based body and mind intervention to prevent falls and reduce health disparities in low-income populations.R01MD018025 · NIMHD · UNIVERSITY OF CENTRAL FLORIDA · PI THIAMWONG, LADDA · 2022 to 2025
$3.0M
Technology-based fall risk assessments for older adults in low-income settingsR03AG069799 · NIA · UNIVERSITY OF CENTRAL FLORIDA · PI THIAMWONG, LADDA · 2020 to 2021
$149k
NIA NIH HHS R03 AG069799NIMHD NIH HHS R01 MD018025
6 · The paper itself

Abstract

purposeTo describe successful strategies for the recruitment of diverse community-dwelling older adults for a technology-based fall risk assessment research study during the global coronavirus disease 2019 pandemic.

methodIn this cross-sectional study, 124 adults aged ≥60 years agreed to participate. We used several recruitment strategies, including social media platforms, local community centers, flyers, contacting key persons, word of mouth, and contacting participants from previous research projects.

resultsTargeted and personalized strategies for recruitment, including contacting a key community leader (52.4%,

conclusionRecruitment can be improved with word of mouth and contacting key persons, such as community leaders, which can be achieved by building a trusted relationship between researchers and community leaders. [

Indexed as

Accidental FallsCOVID-19Independent LivingPatient SelectionAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsRisk AssessmentSARS-CoV-2

Identifiers

PMID39194324
PMCPMC11382612

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.