About this trial
The goal of the Arizona Community Engagement Alliance (AZ-CEAL) will be to combine social care with healthcare programs. The study will be connecting selected patients from clinics with trained community health workers (CHW) who will assist participants in getting the help that is needed for their health such as transportation needs, accessing healthy food, health information, accessing good health care, job opportunities, and housing. The study will collect information from both the patients and the health care systems to test how effectively the care plan works over time.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
18 years of age or older
Medicaid or dual-insured beneficiary or
Racial/ethnic minority or rural resident and
Household income in the bottom national quartile of household median income (low SES definition).
Disqualifiers
Unable to provide informed consent due to cognitive impairment
Other specified reason that, in the opinion of the investigator makes the participant unsuitable for enrollment
Trial design
Parallel
Treatments tested in this trial
Community Health Worker intervention
Other interventionCHWs with knowledge of local community resources will address social needs through through a IVR platform. Both CHWs and participants can access each other through the IVR system. Patients are observed repeatedly so that measurements are nested within members. We will recruit participants into the closed cohort prior to the sequential roll-out of the intervention to ensure individual-level informed consent and patient-reported data. Recruiting individuals before the intervention is rolled into the clinic (cluster) enables both concurrent comparisons of participants receiving care across clinics as well as pre-post comparisons of individual level (patient-reported) data in addition to passive data collection at a system or clinic level. Primary Data collected through patient reported surveys and passive EMR collection will occur at baseline and 6 months. Patients may opt-in to additional data collection at 12, 18, 24, 36 month time points.
Usual Care
Other interventionParticipants (patients) do not have CHWs addressing social issues and HRSNs within the healthcare system. The healthcare personnel act upon the identified social issues independently or with assistance from local clinic resources as usual. The social drivers of health are assessed by phone interview as part of annual population health assessments and entered into the Electronic Medical Records system and that in turn informs the healthcare provider.
Treatment groups
Trial outcomes
Primary outcomes
Change in Healthcare utilization
Composite outcome of unplanned office visits, urgent care visits, emergency room visits, and hospitalizations. Data is passively collected through the EMR system. The data is expressed as a rate (events/year) that is calculated from 6 months of data
Secondary outcomes
Change in Patient No-Show Rate
Missed clinic appointment (numerator) compared to total clinic appointments (denominator). Data is passively collected through the EMR system. This is calculated as a rate (No-shows/year) from 6-months of data
Other outcomes
Change in Social Determinants of Health Risk Burden Assessed Using PRAPARE
Participant-reported social determinants of health will be assessed using the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE). The instrument evaluates social and economic factors potentially affecting health, including housing, transportation, financial strain, employment, education, access to resources, and social support. The outcome will be assessed as the change from baseline in the number of identified social risk factors, with higher counts indicating greater social risk burden.
Change in Systolic blood pressure
Passively collect systolic blood pressure data from the EMR systems. It will be adjusted for number of anti-hypertensive medications and dosage.
Change in Diastolic blood pressure
Passively collect diastolic blood pressure data from the EMR systems. It will be adjusted for number of anti-hypertensive medications and dosage.
Change in HBA1C
Passively collect HBA1C data from the EMR systems. It will be adjusted for number of anti-diabetic medications and dosage.
Sponsors and contacts
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Sairam Parthasarathy
Lead sponsor
University of Arizona
Sponsor institution
University of Arizona
Collaborator
Northern Arizona University
Collaborator
Arizona State University
Collaborator
Mayo Clinic
Collaborator
National Heart, Lung, and Blood Institute (NHLBI)
Collaborator