Evidence map›Paper›PMID 39042426›Full record

ArticleJMIR research protocols2024

Piloting a Clinical Decision Support Tool to Identify Patients With Social Needs and Provide Navigation Services and Referral to Community-Based Organizations: Protocol for a Randomized Controlled Trial.

Elham Hatef, Thomas Richards, Kristin Topel, Sofia Hail, Christopher Kitchen, Katherine Shaw, Talan Zhang, Elyse C Lasser, Jonathan P Weiner

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05574699 (Piloting a Clinical Decision Support Tool to Identify and Refer Patients With Social Needs to Community-based Organizations), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT05574699 nacompletednot on this map

Piloting a Clinical Decision Support Tool to Identify and Refer Patients With Social Needs to Community-based Organizations

TypeinterventionalSponsorJohns Hopkins UniversityRan2023 to 2025Enrolled251ConditionsChronic Disease, Diabetes Mellitus, Hypertension, Congestive Heart FailureArmsSocial Risk Score and CDS Tool, Standard of Care
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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.

Elham HatefDivision of General Internal Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.ORCID 0000-0003-2535-8191
Thomas RichardsCenter for Population Health Information Technology, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0003-4945-9050
Kristin TopelDivision of General Pediatrics, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-7343-5473
Sofia HailJohns Hopkins Institute for Clinical and Translational Research, Baltimore, MD, United States.ORCID 0009-0001-7084-6269
Christopher KitchenCenter for Population Health Information Technology, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0001-7767-2508
Katherine ShawJohns Hopkins Community Physicians East Baltimore Medical Center, Baltimore, MD, United States.ORCID 0009-0002-8532-1008
Talan ZhangCenter for Population Health Information Technology, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-6054-7003
Elyse C LasserCenter for Population Health Information Technology, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-1758-9822
Jonathan P WeinerCenter for Population Health Information Technology, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-8299-3995

Funding

Development, Piloting and Dissemination of an Integrated Clinical and Social Multi-level Decision Support Platform to Address Social Determinants of Health Among Minority Populations in Baltimore CityR01MD015844 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI HATEF-NAIMI, ELHAM, WEINER, JONATHAN P · 2021 to 2025
$2.7M
NIMHD NIH HHS R01 MD015844
6 · The paper itself

Abstract

backgroundSocial needs and social determinants of health (SDOH) significantly outrank medical care when considering the impact on a person's length and quality of life, resulting in poor health outcomes and worsening life expectancy. Integrating social needs and SDOH data along with clinical risk information within operational clinical decision support (CDS) systems built into electronic health records (EHRs) is an effective approach to addressing health-related social needs. To achieve this goal, applied research is needed to develop EHR-integrated CDS tools and closed-loop referral systems and implement and test them in the digital and clinical workflows at health care systems and collaborating community-based organizations (CBOs).

objectiveThis study aims to describe the protocol for a mixed methods study including a randomized controlled trial and a qualitative phase assessing the feasibility, acceptability, and effectiveness of an EHR-integrated digital platform to identify patients with social needs and provide navigation services and closed-loop referrals to CBOs to address their social needs.

methodsThe randomized controlled trial will enroll and randomize adult patients living in socioeconomically challenged neighborhoods in Baltimore City receiving care at a single academic health care institution in the 3-month intervention (using the digital platform) or the 3-month control (standard-of-care assessment and addressing of social needs) arms (n=295 per arm). To evaluate the feasibility and acceptability of the digital platform and its impact on the clinical and digital workflow and patient care, we will conduct focus groups with the care teams in the health care system (eg, clinical providers, social workers, and care managers) and collaborating CBOs. The outcomes will be the acceptability, feasibility, and effectiveness of the CDS tool and closed-loop referral system.

resultsThis clinical trial opened to enrollment in June 2023 and will be completed in March 2025. Initial results are expected to be published in spring 2025. We will report feasibility outcome measures as weekly use rates of the digital platform. The acceptability outcome measure will be the provider's and patient's responses to the truthfulness of a statement indicating a willingness to use the platform in the future. Effectiveness will be measured by tracking a 3-month change in identified social needs and provided navigation services as well as clinical outcomes such as hospitalization and emergency department visits.

conclusionsThe results of this investigation are expected to contribute to our understanding of the use of digital interventions and the implementation of such interventions in digital and clinical workflows to enhance the health care system and CBO ability related to social needs assessment and intervention. These results may inform the construction of a future multi-institutional trial designed to test the effectiveness of this intervention across different health care systems and care settings.

trial registrationClinicalTrials.gov NCT05574699; https://clinicaltrials.gov/study/NCT05574699. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57316.

Indexed as

Decision Support Systems, ClinicalReferral and ConsultationAdultFemaleHumansMaleNeeds AssessmentPatient NavigationPilot ProjectsRandomized Controlled Trials as TopicSocial Determinants of Healthclinical decision support toolelectronic health recordsrandomized controlled trialsocial determinants of healthsocial needs

Identifiers

PMID39042426
PMCPMC11303893

What OpenQuestion holds

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LicenceCC BY
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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.