Evidence map›Paper›PMID 37749998›Full record

ArticleHealth services research2024

If you build it, they may not come: Understanding factors influencing use of a community resource referral technology.

Caroline Fichtenberg, Yuri Cartier, Jessica Burnett, Coiel Ricks-Stephen, Gregory Paulson

Open access · hybridAbstract read
In one paragraph

Article in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Caroline FichtenbergSocial Interventions Research and Evaluation Network (SIREN), Center for Health and Community, University of California, San Francisco, California, USA.ORCID 0000-0003-2850-6890
Yuri CartierSocial Interventions Research and Evaluation Network (SIREN), Center for Health and Community, University of California, San Francisco, California, USA.ORCID 0000-0002-6655-9822
Jessica BurnettTrenton Health Team, Trenton, New Jersey, USA.
Coiel Ricks-StephenTrenton Health Team, Trenton, New Jersey, USA.
Gregory PaulsonTrenton Health Team, Trenton, New Jersey, USA.
New Jersey Department of Health · USTraining Programs in Epidemiology and Public Health Interventions Network · USUniversity of California, San Francisco · US

Funding

Robert Wood Johnson Foundation 77404
6 · The paper itself

Abstract

objectiveIdentify factors affecting the use of a community resource referral platform among local community-based organizations (CBOs) and test strategies to increase platform use. DATA SOURCES AND STUDY

settingData sources included platform usage data and semi-structured interviews. The study took place in a small city in the Northeastern United States from 2020 to 2022. STUDY

designWe analyzed platform data and conducted interviews with local organizations and organizations in other communities to understand barriers to CBOs' use of the referral platform and identify strategies that might increase use. We then tested 4 strategies and assessed impacts via time trend analysis of platform usage and qualitative interviews. DATA COLLECTION/EXTRACTION

methodsPlatform usage data were obtained from the platform. Semi-structured interviews were conducted with staff and leaders of 36 local CBOs and 9 external organizations. PRINCIPAL

findingsFour years after launch, platform use remained relatively low. None of the tested strategies (data insight reports, a referral hub, tailored training, and a communication campaign) noticeably increased platform use. The main barrier to the use of the platform was the lack of perceived usefulness, mostly because existing processes for identifying resources and referring clients worked well enough and because many organizations were already required to use a client management or referral tool. Additional barriers included the lack of comfort with and, in some cases, active dislike of e-referrals, and lack of comfort with technology tools overall. Organizations that were most likely to find the platform useful and to use it were those that provided referrals for a wide range of needs and whose staff were not already familiar with local resources.

conclusionsOrganizations seeking to implement referral platforms should not assume that local CBOs will automatically take up these platforms. For these platforms to succeed, much more attention needs to be paid to ensuring the platforms provide value to the CBOs they seek to engage.

Indexed as

Community ResourcesReferral and ConsultationHumansNew Englandcross-sector care coordinationhealth and human services integrationhealth-related social needsreferral platformstechnology adoption

Identifiers

PMID37749998
PMCPMC10796276
OpenAlexW4387034035

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.