Impact of a Low-Intensity Resource Referral Intervention on Patients' Knowledge, Beliefs, and Use of Community Resources: Results from the CommunityRx Trial.

community linkages community resource referral disease-management health information technology health-related social needs self-care self-management social determinants of health

Journal

Journal of general internal medicine
ISSN: 1525-1497
Titre abrégé: J Gen Intern Med
Pays: United States
ID NLM: 8605834

Informations de publication

Date de publication:
03 2020
Historique:
received: 22 05 2019
accepted: 28 10 2019
pubmed: 22 11 2019
medline: 20 5 2021
entrez: 22 11 2019
Statut: ppublish

Résumé

Connecting patients to community-based resources is now a cornerstone of modern healthcare that supports self-management of health. The mechanisms that link resource information to behavior change, however, remain poorly understood. To evaluate the impact of CommunityRx, an automated, low-intensity resource referral intervention, on patients' knowledge, beliefs, and use of community resources. Real-world controlled clinical trial at an urban academic medical center in 2015-2016; participants were assigned by alternating week to receive the CommunityRx intervention or usual care. Surveys were administered at baseline, 1 week, 1 month, and 3 months. Publicly insured adults, ages 45-74 years. CommunityRx generated an automated, personalized list of resources, known as HealtheRx, near each participant's home using condition-specific, evidence-based algorithms. Algorithms used patient demographic and health characteristics documented in the electronic health record to identify relevant resources from a comprehensive, regularly updated database of health-related resources in the study area. Using intent-to-treat analysis, we examined the impact of HealtheRx referrals on (1) knowledge of the most commonly referred resource types, including healthy eating classes, individual counseling, mortgage assistance, smoking cessation, stress management, and weight loss classes or groups, and (2) beliefs about having resources in the community to manage health. In a real-world controlled trial of 374 adults, intervention recipients improved knowledge (AOR = 2.15; 95% CI, 1.29-3.58) and beliefs (AOR = 1.68; 95% CI, 1.07-2.64) about common resources in the community to manage health, specifically gaining knowledge about smoking cessation (AOR = 2.76; 95% CI, 1.07-7.12) and weight loss resources (AOR = 2.26; 95% CI 1.05-4.84). Positive changes in both knowledge and beliefs about community resources were associated with higher resource use (P = 0.02). In a middle-age and older population with high morbidity, a low-intensity health IT intervention to deliver resource referrals promoted behavior change by increasing knowledge and positive beliefs about community resources for self-management of health. NCT02435511.

Sections du résumé

BACKGROUND
Connecting patients to community-based resources is now a cornerstone of modern healthcare that supports self-management of health. The mechanisms that link resource information to behavior change, however, remain poorly understood.
OBJECTIVE
To evaluate the impact of CommunityRx, an automated, low-intensity resource referral intervention, on patients' knowledge, beliefs, and use of community resources.
DESIGN
Real-world controlled clinical trial at an urban academic medical center in 2015-2016; participants were assigned by alternating week to receive the CommunityRx intervention or usual care. Surveys were administered at baseline, 1 week, 1 month, and 3 months.
PARTICIPANTS
Publicly insured adults, ages 45-74 years.
INTERVENTION
CommunityRx generated an automated, personalized list of resources, known as HealtheRx, near each participant's home using condition-specific, evidence-based algorithms. Algorithms used patient demographic and health characteristics documented in the electronic health record to identify relevant resources from a comprehensive, regularly updated database of health-related resources in the study area.
MAIN MEASURES
Using intent-to-treat analysis, we examined the impact of HealtheRx referrals on (1) knowledge of the most commonly referred resource types, including healthy eating classes, individual counseling, mortgage assistance, smoking cessation, stress management, and weight loss classes or groups, and (2) beliefs about having resources in the community to manage health.
KEY RESULTS
In a real-world controlled trial of 374 adults, intervention recipients improved knowledge (AOR = 2.15; 95% CI, 1.29-3.58) and beliefs (AOR = 1.68; 95% CI, 1.07-2.64) about common resources in the community to manage health, specifically gaining knowledge about smoking cessation (AOR = 2.76; 95% CI, 1.07-7.12) and weight loss resources (AOR = 2.26; 95% CI 1.05-4.84). Positive changes in both knowledge and beliefs about community resources were associated with higher resource use (P = 0.02).
CONCLUSIONS
In a middle-age and older population with high morbidity, a low-intensity health IT intervention to deliver resource referrals promoted behavior change by increasing knowledge and positive beliefs about community resources for self-management of health.
NIH TRIAL REGISTRY
NCT02435511.

Identifiants

pubmed: 31749028
doi: 10.1007/s11606-019-05530-5
pii: 10.1007/s11606-019-05530-5
pmc: PMC7080911
doi:

Banques de données

ClinicalTrials.gov
['NCT02435511']

Types de publication

Controlled Clinical Trial Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

815-823

Subventions

Organisme : AHRQ HHS
ID : K12 HS023007
Pays : United States
Organisme : NHLBI NIH HHS
ID : L30 HL148782
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG047869
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK092949
Pays : United States
Organisme : NHLBI NIH HHS
ID : K23 HL145090
Pays : United States

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Auteurs

Elizabeth L Tung (EL)

Section of General Internal Medicine, University of Chicago, Chicago, IL, USA. eliztung@uchicago.edu.
Center for Health and the Social Sciences, University of Chicago, Chicago, IL, USA. eliztung@uchicago.edu.
Chicago Center for Diabetes Translation Research, University of Chicago, Chicago, IL, USA. eliztung@uchicago.edu.

Emily M Abramsohn (EM)

Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL, USA.

Kelly Boyd (K)

Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL, USA.

Jennifer A Makelarski (JA)

Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL, USA.

David G Beiser (DG)

Section of Emergency Medicine, University of Chicago, Chicago, IL, USA.
Center for Healthcare Delivery Science and Innovation, University of Chicago, Chicago, IL, USA.

Chiahung Chou (C)

Department of Health Outcomes Research and Policy, Auburn University, Auburn, AL, USA.
Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.

Elbert S Huang (ES)

Section of General Internal Medicine, University of Chicago, Chicago, IL, USA.
Chicago Center for Diabetes Translation Research, University of Chicago, Chicago, IL, USA.
Center for Healthcare Delivery Science and Innovation, University of Chicago, Chicago, IL, USA.

Jonathan Ozik (J)

Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA.
Decision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, IL, USA.

Chaitanya Kaligotla (C)

Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA.
Decision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, IL, USA.

Stacy Tessler Lindau (ST)

Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL, USA.
Center for Healthcare Delivery Science and Innovation, University of Chicago, Chicago, IL, USA.
Department of Medicine-Geriatrics, University of Chicago, Chicago, IL, USA.
Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA.

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