The Integrated Population (I-POP) Health Trial
I-POP
The Role of Community Health Workers to Reduce Health Disparities Using a Multi-Level Integrated Population Health Intervention
1 other identifier
interventional
202
1 country
1
Brief Summary
The primary aim of this study is to determine whether community health worker (CHW) navigation improves outcomes of chronic disease and chronic disease risk factors in a low-income, primarily ethnic minority population when combined with an evidence-based population health model as compared to usual care after 10 months.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable diabetes
Started Apr 2021
Longer than P75 for not_applicable diabetes
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 28, 2021
CompletedFirst Posted
Study publicly available on registry
February 18, 2021
CompletedStudy Start
First participant enrolled
April 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 18, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
May 18, 2025
CompletedFebruary 12, 2026
February 1, 2026
2.1 years
January 28, 2021
February 10, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (21)
Allostatic load
A composite score of 10 biomarkers to measure chronic stress and health outcomes. The biomarkers are BMI, waist-to-hip ratio, HDL, TC/HDL ratio, triglycerides, HbA1c, SBP, DBP, C-reactive protein, and cortisol. For each marker a value of 1 will be assigned if that exceed the third quartile except for HDL where a value of 1 will be assigned if lower than first quartile; otherwise a score of zero will be assigned. \[scale: Count of risk factors. May be dichotomized as high risk = 6 to 10, low risk=0 to 5\]
Baseline
Allostatic load
A composite score of 10 biomarkers to measure chronic stress and health outcomes. The biomarkers are BMI, waist-to-hip ratio, HDL, TC/HDL ratio, triglycerides, HbA1c, SBP, DBP, C-reactive protein, and cortisol. For each marker a value of 1 will be assigned if that exceed the third quartile except for HDL where a value of 1 will be assigned if lower than first quartile; otherwise a score of zero will be assigned. \[scale: Count of risk factors. May be dichotomized as high risk = 6 to 10, low risk=0 to 5\].
6-months
Cortisol
4mL saliva collected fasting in the morning. \[Scale: measured in a continuous scale. Normal range 0.007 - 0.115 ug/dL. Value exceeded the normal range indicates higher level of stress.\]
Baseline
Cortisol
4mL saliva collected fasting in the morning. \[Scale: measured in a continuous scale. Normal range 0.007 - 0.115 ug/dL. Value exceeded the normal range indicates higher level of stress.\]
6-months
C-Reactive protein
4mL saliva collected fasting in the morning. \[Scale: measured in a continuous scale. Normal range 25 pg/mL - 1600 pg/mL. Value exceeded the normal range indicates higher level of inflammation.\]
Baseline
C-Reactive protein
4mL saliva collected fasting in the morning. \[Scale: measured in a continuous scale. Normal range 25 pg/mL - 1600 pg/mL. Value exceeded the normal range indicates higher level of inflammation.\]
6-months
Body mass index
Weight in pounds (lbs) divided by height in inches (in) squared and multiplying by a conversion factor of 703
Baseline
Body mass index
Weight in pounds (lbs) divided by height in inches (in) squared and multiplying by a conversion factor of 703
6-months
Body mass index
Weight in pounds (lbs) divided by height in inches (in) squared and multiplying by a conversion factor of 703
10-months
Waist - to - Hip ratio
Waist circumference (centimeters) divided by circumference of hips (centimeters)
Baseline
Waist - to - Hip ratio
Waist circumference (centimeters) divided by circumference of hips (centimeters)
6-months
Waist - to - Hip ratio
Waist circumference (centimeters) divided by circumference of hips (centimeters)
10-months
HbA1c
Finger stick blood measure (%)
Baseline
HbA1c
Finger stick blood measure (%)
6-months
HbA1c
Finger stick blood measure (%)
10-months
Lipids
Finger stick blood measure collected fasting via fingerstick (mg/dL)
Baseline
Lipids
Finger stick blood measure collected fasting via fingerstick (mg/dL)
6-months
Lipids
Finger stick blood measure collected fasting via fingerstick (mg/dL)
10-months
Blood pressure
Stadiometer used to measure systolic and diastolic pressures to nearest 1 mm Hg
Baseline
Blood pressure
Stadiometer used to measure systolic and diastolic pressures to nearest 1 mm Hg
6-months
Blood pressure
Stadiometer used to measure systolic and diastolic pressures to nearest 1 mm Hg
10-months
Secondary Outcomes (18)
Diet
Baseline
Diet
6-months
Diet
10-months
Physical activity
Baseline
Physical activity
6-months
- +13 more secondary outcomes
Study Arms (2)
Control
ACTIVE COMPARATORControl group participants will receive access to the same I-POP Health resources without CHW navigation until the end of 10-months (delayed CHW navigation). The current usual care model is outlined. Participants will complete study measures at baseline, 6-months, and 10-months timepoints. Upon completion of 10-months measures, these individuals will be assigned a CHW and receive delayed navigation.
I-POP CHW Intervention
EXPERIMENTALI-POP+CHW participants will be paired with a CHW at baseline to assist with navigation for 10-months between health and wellness services in the selected zip codes: 75210, 75215, 75216, 75217, 75223, or 75227. Participants will receive a multi-level intervention utilizing the current I-POP Health model that includes: 1) Access to health services (including oral health), 2) Access to clinical prevention services, 3) Access to education and facilities to increase physical activity and improved nutrition choices, and 4) Scheduled visits with CHWs for education and navigation. Individuals will complete study measures at baseline, 6-months, and 10-months.
Interventions
The current I-POP health model includes: 1) BSW HWC primary care medical home (for uninsured or Medicare patients), 2)BSW HWC providing diabetes prevention, nutrition education, weight loss, farm stands, physical activity programming (in collaboration with its onsite City of Dallas Park and Recreation Center), 3) BSW HWC programming at community sites in 75210, 4) Referrals to Parkland Hatcher Station clinic that provides health care to Medicaid patients, 5) Referrals between Parkland Hatcher Station and BSW HWC programming, 6) Community improvement in collaboration with Frazier Revitalization Inc. Individuals will have access to resources within our current, ongoing I-POP Health model, but without CHW navigation between BSW HWC and local service providers. Participants will complete follow-up visits for collection of study measures with study personnel at 6- and 10- months. At the end of the 10-month follow-up period, participants receive an assigned CHW and CHW-navigation.
Individuals randomized to this condition will be paired with a CHW to assist with navigation of I-POP Health resources at BSW HWC and entities in local zip codes. CHW navigation will occur through monthly one-on-one follow-up visits for a period of 10-months. Participants will complete study visits for collection of data measures at baseline, 6- and 10- month timepoints. Study participation ends with completion of 10-months data measures.
Eligibility Criteria
You may qualify if:
- Age 18 years or older
- Ability to alter diet and/or physical activity
- Willing to participate in a 10-month study
- Resident of selected zip codes: 75210, 75215, 75216, 75217, 75223, or 75227
- Not having utilized BSW HWC membership services within the past 12 months
- Not planning to move outside of the selected zip code area within the next 6 months
You may not qualify if:
- Below the age of 18 years
- Unable or unwilling to alter diet and/or physical activity
- Not willing to participate in a 10-month study
- Not resident of local selected zip codes: 75210, 75215, 75216, 75217, 75223, or 75227
- Currently using or have used BSW HWC membership services within the past 12 months
- Planning to move outside of the selected zip code area within the next 6 months
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Baylor Research Institute
Dallas, Texas, 75210, United States
Related Publications (15)
Kitzman H, Dodgen L, Mamun A, Slater JL, King G, Slater D, King A, Mandapati S, DeHaven M. Community-based participatory research to design a faith-enhanced diabetes prevention program: The Better Me Within randomized trial. Contemp Clin Trials. 2017 Nov;62:77-90. doi: 10.1016/j.cct.2017.08.003. Epub 2017 Aug 12.
PMID: 28807739BACKGROUNDTan M, Mamun A, Kitzman H, Dodgen L. Longitudinal Changes in Allostatic Load during a Randomized Church-based, Lifestyle Intervention in African American Women. Ethn Dis. 2019 Apr 18;29(2):297-308. doi: 10.18865/ed.29.2.297. eCollection 2019 Spring.
PMID: 31057315BACKGROUNDTan M, Mamun A, Kitzman H, Mandapati SR, Dodgen L. Neighborhood Disadvantage and Allostatic Load in African American Women at Risk for Obesity-Related Diseases. Prev Chronic Dis. 2017 Nov 22;14:E119. doi: 10.5888/pcd14.170143.
PMID: 29166248BACKGROUNDKim K, Choi JS, Choi E, Nieman CL, Joo JH, Lin FR, Gitlin LN, Han HR. Effects of Community-Based Health Worker Interventions to Improve Chronic Disease Management and Care Among Vulnerable Populations: A Systematic Review. Am J Public Health. 2016 Apr;106(4):e3-e28. doi: 10.2105/AJPH.2015.302987. Epub 2016 Feb 18.
PMID: 26890177BACKGROUNDNelson HD, Cantor A, Wagner J, Jungbauer R, Quinones A, Fu R, Stillman L, Kondo K. Achieving Health Equity in Preventive Services [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2019 Dec. Report No.: 20-EHC002-EF. Available from http://www.ncbi.nlm.nih.gov/books/NBK550958/
PMID: 31841291BACKGROUNDWesson D, Kitzman H, Halloran KH, Tecson K. Innovative Population Health Model Associated With Reduced Emergency Department Use And Inpatient Hospitalizations. Health Aff (Millwood). 2018 Apr;37(4):543-550. doi: 10.1377/hlthaff.2017.1099.
PMID: 29608367BACKGROUNDWesson DE, Kitzman HE. How Academic Health Systems Can Achieve Population Health in Vulnerable Populations Through Value-Based Care: The Critical Importance of Establishing Trusted Agency. Acad Med. 2018 Jun;93(6):839-842. doi: 10.1097/ACM.0000000000002140.
PMID: 29342009BACKGROUNDFlegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016 Jun 7;315(21):2284-91. doi: 10.1001/jama.2016.6458.
PMID: 27272580BACKGROUNDHoward JT, Sparks PJ. Does allostatic load calculation method matter? Evaluation of different methods and individual biomarkers functioning by race/ethnicity and educational level. Am J Hum Biol. 2016 Sep 10;28(5):627-35. doi: 10.1002/ajhb.22843. Epub 2016 Feb 15.
PMID: 26877153BACKGROUNDUpchurch DM, Stein J, Greendale GA, Chyu L, Tseng CH, Huang MH, Lewis TT, Kravitz HM, Seeman T. A Longitudinal Investigation of Race, Socioeconomic Status, and Psychosocial Mediators of Allostatic Load in Midlife Women: Findings From the Study of Women's Health Across the Nation. Psychosom Med. 2015 May;77(4):402-12. doi: 10.1097/PSY.0000000000000175.
PMID: 25886828BACKGROUNDChang A, Patberg E, Cueto V, Li H, Singh B, Kenya S, Alonzo Y, Carrasquillo O. Community Health Workers, Access to Care, and Service Utilization Among Florida Latinos: A Randomized Controlled Trial. Am J Public Health. 2018 Sep;108(9):1249-1251. doi: 10.2105/AJPH.2018.304542. Epub 2018 Jul 19.
PMID: 30024805BACKGROUNDJohnson TL, Van Der Heijde M, Davenport S, et al. Population health in primary care: Cost, quality and experience impact. The American Journal of Accountable Care. 2017;5(3):10-20.
BACKGROUNDKindig D, Stoddart G. What is population health? Am J Public Health. 2003 Mar;93(3):380-3. doi: 10.2105/ajph.93.3.380.
PMID: 12604476BACKGROUNDLushniak BD, Alley DE, Ulin B, Graffunder C. The National Prevention Strategy: leveraging multiple sectors to improve population health. Am J Public Health. 2015 Feb;105(2):229-31. doi: 10.2105/AJPH.2014.302257. No abstract available.
PMID: 25521895BACKGROUNDPaskett E, Thompson B, Ammerman AS, Ortega AN, Marsteller J, Richardson D. Multilevel Interventions To Address Health Disparities Show Promise In Improving Population Health. Health Aff (Millwood). 2016 Aug 1;35(8):1429-34. doi: 10.1377/hlthaff.2015.1360.
PMID: 27503968BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Heather Kitzman, PhD
Baylor Scott and White Health
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 28, 2021
First Posted
February 18, 2021
Study Start
April 1, 2021
Primary Completion
May 18, 2023
Study Completion
May 18, 2025
Last Updated
February 12, 2026
Record last verified: 2026-02
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ANALYTIC CODE
- Time Frame
- Within 6 months of study completion
- Access Criteria
- Available by contacting study PI or reading publication
All IPD that underlie results in a publication