Evidence map›Paper›PMID 36999807›Full record

ArticleTranslational behavioral medicine2023

Organizational trust, usability, and inclusivity are key implementation facilitators for a proposed assets-based mobile health intervention.

Michelle J White, Rujia Xie, Hannah Lane, Javier Rodriguez, L'Tanya Gilchrist, Janna Howard, Eliana M Perrin, Asheley Skinner, Mina Silberberg

Open access · hybridAbstract read
In one paragraph

Article in Translational behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Association Between Individual-Level Knowledge and Motivation among Community Health Workers in Rural Areas of Northern States of India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

9 authors at 3 institutions in 1 country.

Michelle J WhiteDepartment of Pediatrics and Duke Center for Childhood Obesity Research, Duke University Medical Center, 2301 Erwin Road, Durham, NC, 27705, USA.ORCID 0000-0002-1944-1995
Rujia XieTrinity College of Arts and Sciences, Duke University, Box 90046, Durham, NC, 27708, USA.
Hannah LaneDepartment of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27701, USA.
Javier RodriguezDepartment of Pediatrics and Duke Center for Childhood Obesity Research, Duke University Medical Center, 2301 Erwin Road, Durham, NC, 27705, USA.
L'Tanya GilchristCommunity Health Worker, 106 Bristolwood Circle, Morrisville, NC, 27560, USA.
Janna HowardDepartment of Pediatrics and Duke Center for Childhood Obesity Research, Duke University Medical Center, 2301 Erwin Road, Durham, NC, 27705, USA.
Eliana M PerrinDepartment of Pediatrics, Johns Hopkins Schools of Medicine and Nursing, 200 N. Wolfe Street Rubenstein Building, 2071, Baltimore, MD 21287, USA.
Asheley SkinnerDepartment of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27701, USA.
Mina SilberbergDepartment of Family Medicine and Community Health, Duke School of Medicine, DUMC 2914, Durham, NC, 27710, USA.
Duke University · USDuke Medical Center · USJohns Hopkins University · US

Funding

Institutional Career Development CoreKL2TR002554 · NCATS · DUKE UNIVERSITY · PI SVETKEY, LAURA P · 2018 to 2022
$8.2M
NCATS NIH HHS KL2 TR002554NIH HHS 1KL2TR002554
6 · The paper itself

Abstract

Assets-based interventions can address child health disparities by connecting families to existing community resources. Community collaboration when designing interventions may identify barriers and facilitators to implementation. The objective of this study was to identify crucial implementation considerations during the design phase of an asset-based intervention to address disparities in childhood obesity, Assets for Health. We conducted focus groups and semi-structured interviews with caregivers of children (<18 years) (N = 17) and representatives of community-based organizations (CBOs) which serve children and families (N = 20). Focus group and interview guides were developed based on constructs from the Consolidated Framework for Implementation Research. Data were analyzed using rapid qualitative analysis and matrices were used to identify common themes within and across groups of community members. Desired intervention characteristics included an easy-to-use list of community programs that could be filtered based on caregiver preferences and local community health workers to promote trust and engagement among Black and Hispanic/Latino families. Most community members felt an intervention with these characteristics could be advantageous versus existing alternatives. Key outer setting characteristics which were barriers to family engagement included families' financial insecurity and lack of access to transportation. The CBO implementation climate was supportive but there was concern that the intervention could increase staff workload beyond current capacity. Assessment of implementation determinants during the intervention design phase revealed important considerations for intervention development. Effective implementation of Assets for Health may depend on app design and usability, fostering organizational trust and minimizing the costs and staff workload of caregivers and CBOs, respectively.

Indexed as

Pediatric ObesityTrustCaregiversChildFocus GroupsHumansAssets-based interventionsChild ObesityCommunity-Engaged ResearchHealth EquityImplementation Science

Identifiers

PMID36999807
PMCPMC10314728
OpenAlexW4362459025

What OpenQuestion holds

Textmetadata
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.