Evidence map›Paper›PMID 39483896›Full record

ArticleResearch square2024

Implementation strategies to improve adoption of unmet social needs screening and referrals in care management using enabling technologies: study protocol for a cluster randomized trial.

Nicole Cook, Rose Gunn, Brenda M McGrath, Jenna Donovan, Maura Pisciotta, Constance Owens-Jasey, Hannah L Fein, Anna Templeton, Zoe Larson, Rachel Gold

Registry-linked trialAbstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06489002 (DEDICATE), which is not on this map. Not yet cited in PubMed.

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

NCT06489002 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

DEDICATE: aDvancing carE Management aDoption In Community heAlTh cEnters

TypeinterventionalSponsorOCHIN, Inc.Ran2025 to 2028Enrolled20ConditionsSocial Determinants of Health, Primary Care, Diabetes Mellitus, Type 2, HypertensionArmsImplementation Support
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Nicole CookOchin.
Rose GunnOchin.
Brenda M McGrathOchin.
Jenna DonovanOchin.
Maura PisciottaOchin.
Constance Owens-JaseyOchin.
Hannah L FeinOchin.
Anna TempletonOchin.
Zoe LarsonOchin.
Rachel GoldOchin.

Funding

DEDICATE: aDvancing carE management aDoption In Community heAlTh cEntersR01NR021115 · NINR · OCHIN, INC. · PI Nicole Jill Cook, RACHEL GOLD · 2023 to 2026
$2.8M
Long-Term Effects of COVID-19 and Health Care Delivery Changes on Populations Living with Multiple Chronic ConditionsR01AG074946 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI COOK, NICOLE JILL, STANGE, KURT C · 2021 to 2025
$2.5M
Long-Term Effects of COVID-19-induced Health Care Delivery Changes on Patient & Workforce Processes & Outcomes in Safety Net Practices Caring for Health Disparity PopulationsR01MD016389 · NIMHD · CASE WESTERN RESERVE UNIVERSITY · PI COOK, NICOLE JILL, STANGE, KURT C · 2022 to 2024
$1.5M
NIA NIH HHS R01 AG074946NIMHD NIH HHS R01 MD016389NINR NIH HHS R01 NR021115
6 · The paper itself

Abstract

Background: Adverse social determinants of health contribute to health inequities. Practice guidelines now recommend incorporating patient unmet social needs into patient care, and payors increasingly reimburse for screening and providing related referrals to community organizations. Emergent electronic health record (EHR)-based tools can enable clinical-community linkages, but their adoption commonly faces workflow and infrastructure barriers. Targeted implementation support such as training, championship, practice facilitation, and audit and feedback, can enhance such tools' adoption, but no prior research has assessed such strategies' impact on the adoption of 'enabling technologies' supporting clinical-community linkages. This study will test whether providing targeted implementation support to safety-net primary care health center care management teams improves the sustained adoption of EHR-based enabling technologies used to 1) screen for social needs and 2) link patients to community organizations. Methods: Formative evaluation of barriers and facilitators to adopting EHR-enabled social needs referrals and ascertainment of services received will include semi-structured interviews and a 'guided tour' of enabling technology used by care managers serving patients with complex health and/or social needs. A modified Delphi process conducted with care management staff and subject matter experts will then inform the development of an intervention targeting adoption of social risk EHR-enabled tools. The intervention will be piloted in three health centers, refined, then tested in a pragmatic stepped-wedge cluster-randomized trial in 20 health centers (five wedges of four health centers) that provide care management to high-risk patients with social needs. Discussion: This study is among the first to evaluate an intervention designed to support care management teams' adoption of enabling technologies to increase clinical-community linkages. It was funded in September 2023 by the National Institute of Nursing Research. Formative activities will take place from January to June 2024, the intervention will be developed in July-December 2024, the pilot study will be conducted from January-March 2025, and the cluster-randomized trial will occur from July 2025 -September 2026. Study data will be analyzed and results disseminated in 2027-2028. Study results have the potential to improve clinical-community linkages and in so doing to advance health equity. Trial registration: Clinicaltrials.gov registration # NCT06489002. Registered July 5, 2024, https//clinicaltrials.gov/study/NCT06489002?term=NCT06489002&rank=1.

Indexed as

care managementclinical-community linkageshealth disparitiesprimary caresafety-net populationssocial determinants of health

Identifiers

PMID39483896
PMCPMC11527237

What OpenQuestion holds

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Registered trials

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.