NCT05555095

Brief Summary

The purpose of this study is to examine the intervention effectiveness and dissemination of digital health care delivery models for improving selected health outcomes in the Medicaid population.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
19,331

participants targeted

Target at P75+ for all trials

Timeline
32mo left

Started Sep 2022

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

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

Study Progress58%
Sep 2022Dec 2028

First Submitted

Initial submission to the registry

September 19, 2022

Completed
7 days until next milestone

First Posted

Study publicly available on registry

September 26, 2022

Completed
Same day until next milestone

Study Start

First participant enrolled

September 26, 2022

Completed
6.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2028

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2028

Last Updated

April 30, 2025

Status Verified

April 1, 2025

Enrollment Period

6.3 years

First QC Date

September 19, 2022

Last Update Submit

April 25, 2025

Conditions

Keywords

hypertensiondiabetesmaternal healthdigital health

Outcome Measures

Primary Outcomes (5)

  • Change in participant's blood pressure control at three points in time

    Decrease in the average systolic and/or diastolic blood pressure

    3 months, 6 months, 12 months

  • Change in participant's glycemic control at three points in time

    Defined as a reduction \>1% in glycosylated hemoglobin (hemoglobin A1C)

    3 months, 6 months, 12 months

  • Change in Patient Assessment of Chronic Illness Care scale (PACIC) from baseline to exit from program

    Measure of patient's perception of care management for chronic disease - 20 items on a 5-point scale 1=no or never to 5=Always, with higher score indicating better care

    baseline, end of program, on average of 1 year

  • Change in Patient Perception of Health Care Management (adapted form of PACIC to reflect pre/postnatal care) from baseline to exit from program

    Measure of patient-centered care and self-management - 20 items on a 5-point scale 1=no or never to 5=Always, with higher score indicating better care

    baseline, end of program, on average 6 months

  • Patient satisfaction, 1-item researcher generated question

    Measure of patient's satisfaction, Participant's recommendation of program to others (Yes/No)

    at exit from program, on average 1 year

Study Arms (5)

OSF HealthCare

Subjects from OSF HealthCare

Behavioral: digital health delivered multicomponent intervention

Federally Qualified Health Center (FQHC) - 1

Subjects from Eagle View Community Health System enrolled in MIC Program

Behavioral: digital health delivered multicomponent intervention

Federally Qualified Health Center (FQHC) - 2

Subjects from Chestnut Health System Inc. enrolled in MIC Program

Behavioral: digital health delivered multicomponent intervention

Federally Qualified Health Center (FQHC) - 3

Subjects from Heartland Community Health System enrolled in MIC Program

Behavioral: digital health delivered multicomponent intervention

Federally Qualified Health Center (FQHC) - 4

Subjects from Aunt Martha's enrolled in MIC Program

Behavioral: digital health delivered multicomponent intervention

Interventions

The MIC program will have set minimum levels of connectivity for each of the three defined conditions under study.

Also known as: Digital Care Solution as supportive personalized care
Federally Qualified Health Center (FQHC) - 1Federally Qualified Health Center (FQHC) - 2Federally Qualified Health Center (FQHC) - 3Federally Qualified Health Center (FQHC) - 4OSF HealthCare

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The study population will be comprised of individuals who are enrolled in a digital health care delivery model for improving selected health outcomes in the Medicaid population. The population will be obtained from the cohorts as listed above. All those enrolled in the MIC program will be strategically identified and used as the population from which to draw the sample for the quantitative and qualitative portions of the study.

You may qualify if:

  • Patient of one of four medically qualified health care centers and/or OSF HealthCare as defined by insurance type
  • Insured by Medicaid or dually eligible for Medicare or Medicaid
  • Has one or more of the three following conditions:
  • Hypertension, Diabetes Mellitus, or Pregnancy
  • Able to read and understand English or read translated materials in language provided (e.g. Spanish)
  • Minors who are pregnant and less 18 years of age who are enrolled in the MIC Program

You may not qualify if:

  • Not enrolled in the MIC Program
  • No one will be excluded on basis of sex or race

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

OSF HealthCare System

Peoria, Illinois, 61602, United States

RECRUITING

Related Publications (11)

  • Aung E, Ostini R, Dower J, Donald M, Coll JR, Williams GM, Doi SA. Patient Assessment of Chronic Illness Care (PACIC) in Type 2 Diabetes: A Longitudinal Study. Eval Health Prof. 2016 Jun;39(2):185-203. doi: 10.1177/0163278714556674. Epub 2014 Nov 6.

    PMID: 25380699BACKGROUND
  • Cooling M, Klein CJ, Pierce LM, Delinski N, Lotz A, Vozenilek JA. Access to Care: End-to-End Digital Response for COVID-19 Care Delivery. J Nurse Pract. 2022 Feb;18(2):232-235. doi: 10.1016/j.nurpra.2021.09.011. Epub 2021 Sep 25.

    PMID: 34608377BACKGROUND
  • Dalstrom M, Weinzimmer LG, Foulger R, Klein CJ. Medicaid expansion and accessibility to healthcare: The Illinois experience. Public Health Nurs. 2021 Sep;38(5):720-729. doi: 10.1111/phn.12899. Epub 2021 Mar 29.

    PMID: 33778982BACKGROUND
  • Etminani K, Goransson C, Galozy A, Norell Pejner M, Nowaczyk S. Improving Medication Adherence Through Adaptive Digital Interventions (iMedA) in Patients With Hypertension: Protocol for an Interrupted Time Series Study. JMIR Res Protoc. 2021 May 12;10(5):e24494. doi: 10.2196/24494.

    PMID: 33978593BACKGROUND
  • Hategeka C, Ruton H, Karamouzian M, Lynd LD, Law MR. Use of interrupted time series methods in the evaluation of health system quality improvement interventions: a methodological systematic review. BMJ Glob Health. 2020 Oct;5(10):e003567. doi: 10.1136/bmjgh-2020-003567.

    PMID: 33055094BACKGROUND
  • Kangovi S, Mitra N, Norton L, Harte R, Zhao X, Carter T, Grande D, Long JA. Effect of Community Health Worker Support on Clinical Outcomes of Low-Income Patients Across Primary Care Facilities: A Randomized Clinical Trial. JAMA Intern Med. 2018 Dec 1;178(12):1635-1643. doi: 10.1001/jamainternmed.2018.4630.

    PMID: 30422224BACKGROUND
  • Nijagal MA, Wissig S, Stowell C, Olson E, Amer-Wahlin I, Bonsel G, Brooks A, Coleman M, Devi Karalasingam S, Duffy JMN, Flanagan T, Gebhardt S, Greene ME, Groenendaal F, R Jeganathan JR, Kowaliw T, Lamain-de-Ruiter M, Main E, Owens M, Petersen R, Reiss I, Sakala C, Speciale AM, Thompson R, Okunade O, Franx A. Standardized outcome measures for pregnancy and childbirth, an ICHOM proposal. BMC Health Serv Res. 2018 Dec 11;18(1):953. doi: 10.1186/s12913-018-3732-3.

    PMID: 30537958BACKGROUND
  • Roman LA, Raffo JE, Dertz K, Agee B, Evans D, Penninga K, Pierce T, Cunningham B, VanderMeulen P. Understanding Perspectives of African American Medicaid-Insured Women on the Process of Perinatal Care: An Opportunity for Systems Improvement. Matern Child Health J. 2017 Dec;21(Suppl 1):81-92. doi: 10.1007/s10995-017-2372-2.

    PMID: 28965183BACKGROUND
  • Williams JS, Walker RJ, Egede LE. Achieving Equity in an Evolving Healthcare System: Opportunities and Challenges. Am J Med Sci. 2016 Jan;351(1):33-43. doi: 10.1016/j.amjms.2015.10.012.

    PMID: 26802756BACKGROUND
  • Lopez Bernal J, Cummins S, Gasparrini A. The use of controls in interrupted time series studies of public health interventions. Int J Epidemiol. 2018 Dec 1;47(6):2082-2093. doi: 10.1093/ije/dyy135.

    PMID: 29982445BACKGROUND
  • Dalstrom MD, Jordan S, Klein CJ, Cooling M. Examining a Remote Patient Monitoring Program with Medicaid Patients Managing Diabetes and Hypertension: A Qualitative Study. J Patient Exp. 2026 Jan 14;13:23743735251414380. doi: 10.1177/23743735251414380. eCollection 2026.

MeSH Terms

Conditions

HypertensionDiabetes Mellitus

Condition Hierarchy (Ancestors)

Vascular DiseasesCardiovascular DiseasesGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System Diseases

Study Officials

  • Melinda B Cooling, DNP, APRN

    OSF Healthcare System

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Colleen J. Klein, PhD, APRN

CONTACT

Melinda B Cooling, DNP, APRN

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 19, 2022

First Posted

September 26, 2022

Study Start

September 26, 2022

Primary Completion (Estimated)

December 31, 2028

Study Completion (Estimated)

December 31, 2028

Last Updated

April 30, 2025

Record last verified: 2025-04

Data Sharing

IPD Sharing
Will not share

Locations