Skip to content

Reducing Emergency Diabetes Care for Older African Americans

Randomized Controlled Trial of Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth vs. Diabetes Education to Reduce Emergency Visits and Hospitalizations Over 12 Months in African Americans Americans

Status
Completed
Phases
Phase 3
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03466866
Acronym
PREVENT
Enrollment
156
Registered
2018-03-15
Start date
2019-01-10
Completion date
2023-09-30
Last updated
2024-05-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes Mellitus

Brief summary

This RCT will compare the efficacy of Preventing and Reducing Emergency Visits in Diabetes through Education and Trust (PREVENT) vs. intensive home-based diabetes (DM) education \[i.e., Enhanced Usual Care (EUC)\] to reduce DM-related emergency department (ED) visits and/or hospitalizations over 12 months (primary outcome) in 230 blacks with diabetes, 50 years and older, after an ED visit. A moderation analysis will determine whether participants who reside in low- vs. high-need communities \[defined by Community Need Index scores (i.e., an indicator of the built environment)\] respond differently to treatment. PREVENT is a collaborative intervention of Primary Care Physicians, (PCPs), a DM nurse educator, and Community Health Workers (CHWs) that extends from the ED into the community. The CHWs will: 1) deliver in-home DM education to increase participants' knowledge and skills to manage DM; 2) use DM-specific Behavioral Activation to reinforce DM self-care; and 3) facilitate telehealth visits with PCPs and a DM nurse educator to increase access to care. The control treatment, EUC, is home-based intensive DM education. EUC matches PREVENT in treatment intensity (i.e., number and duration of in-home visits) and delivery of DM self-care education, but does not include PREVENTS's other active elements (i.e., Behavioral Activation and telehealth). The treatment comparison will identify PREVENTS's specific efficacy over and above EUC. We hypothesize that PREVENT will halve the rate of incident DM-related ED visits and/or hospitalizations relative to EUC. The three secondary outcomes are: 1) subjective perceptions of access to care; 2) receipt of DM Quality Metrics (i.e., objective indicators of realized access to care); and 3) DM self-care.

Detailed description

This Phase-III RCT will compare the efficacy of Preventing and Reducing Emergency Visits in Diabetes through Education and Trust (PREVENT) vs. intensive home-based DM education to reduce the number of DM-related ED visits and/or hospitalizations over 12 months (primary outcome), in 230 AAs with DM, 40 years and older, who are recruited from the ED after an ED visit. PREVENT is a culturally relevant intervention that extends from the ED to the community, and aims to improve access to care and DM self-care (secondary outcomes). A mediation analysis will determine whether changes in access to care and/or DM self-care explain PREVENT's efficacy. A moderation analysis will determine whether participants who reside in low- vs. high-need communities \[defined by Community Need Index scores (i.e., an indicator of the built environment)\] respond differently to treatment. PREVENT will begin soon after the participant's index ED visit, when many patients remain uncertain how to manage DM or how to access follow-up care. Community Health Workers (CHWs), who are race-concordant with participants, will: 1) deliver in-home DM education to increase participants' knowledge and skills; 2) use DM-specific Behavioral Activation to improve DM self-care; and 3) facilitate telehealth visits with the participant's primary care physician (PCP) and a DM nurse educator to increase access to care. The control treatment, EUC, is intensive home-based DM education. EUC matches PREVENT in treatment intensity (i.e., 6 in-home sessions over 4 months, and 3 booster sessions over the next 8 months) and delivery of culturally relevant DM education, but does not include DM-specific Behavioral Activation or telehealth visits. The treatment comparison will identify PREVENT's specific efficacy over and above EUC. This RCT is significant as the population ages and becomes more racially diverse, and as ED use and costs increase. This RCT is innovative because it: 1) tests the first ED-to-community intervention designed to reduce the need for ED care in AAs with DM; 2) assesses both subjective and objective indicators of access to care; and 3) defines the specific characteristics of COPDE that confer its cultural relevance. If successful, PREVENT will meet Healthy People 2020's twin goals of reducing the personal and societal costs of DM and achieving health equity for all Americans. The Specific Aims of this RCT are: Primary Specific Aim: Test the efficacy of PREVENT to reduce the number of incident DM-related ED visits and/or hospitalizations over 12 months (primary outcome) in AAs with DM. Hypothesis: PREVENT will halve the number of incident DM-related ED visits and/or hospitalizations relative to EUC over 12 months. The Secondary Aims are to: 1. Test the efficacy of PREVENT to increase perceived access to care over 12 months (secondary outcome). Hypothesis: PREVENT will increase Patient Satisfaction Questionnaire-18 scores to a greater extent than EUC over 12 months. 2. Test the efficacy of PREVENT to increase realized access to care over 12 months (secondary outcome). Hypothesis: PREVENT will increase the number of received Diabetes Quality Metrics (e.g., hemoglobin A1c testing, urine screening) to a greater extent than EUC over 12 months. 3. Test the efficacy of PREVENT to improve DM self-care over 12 months (secondary outcome). Hypothesis: PREVENT will increase Diabetes Self-Care Inventory scores to a greater extent than EUC over 12 months. 4. Determine if increasing subjective and/or objective indicators of access to care and/or DM self-care mediates PREVENT's reduction of DM-related ED visits and/or hospitalizations. Hypothesis: PREVENT will reduce DM-related ED visits and/or hospitalizations to the extent that it increases subjective and/or objective indicators of access to care and/or improves DM self-care. The Exploratory Aims are to: 1) determine whether PREVENT reduces all cause ED visits/hospitalizations relative to EUC.; 2) determine whether Community Need Index scores, literacy, age, and/or sex moderate treatment effects; 3) determine if PREVENT improves glycemic control (i.e., lowers hemoglobin A1c levels), impacts DM-related health beliefs, reduces depression, and/or improves quality-of-life; 4) identify PREVENT's treatment features that confer its cultural relevance; and 5) estimate PREVENT's costs and net financial benefit to the healthcare system.

Interventions

BEHAVIORALPREVENT

Community Health Workers (CHWs), who are race-concordant with participants, will: 1) deliver in-home DM education to increase participants' knowledge and skills; 2) use DM-specific Behavioral Activation to improve DM self-care; and 3) facilitate telehealth visits with the participant's primary care physician (PCP) and a DM nurse educator to increase access to care.

BEHAVIORALEUC (Enhanced Usual Care)

In-home diabetes education with no goal setting or telehealth visits

Sponsors

Thomas Jefferson University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE (Investigator, Outcomes Assessor)

Intervention model description

Single blind, randomized controlled trial

Eligibility

Sex/Gender
ALL
Age
40 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. African American race (self-identified) 2. Age ≥ 40 years 3. Type 1 or 2 DM 4. A DM-related cause for the ED visit in the opinion of the ED physician 5. Has a Jefferson PCP (participants receiving PREVENT will have a telehealth visit with their Jefferson PCP).

Exclusion criteria

1. Medical or psychiatric morbidity (e.g., acute stroke, schizophrenia) that would preclude study participation in the opinion of the ED physician 2. Clinically significant cognitive impairment 3. Pregnancy

Design outcomes

Primary

MeasureTime frameDescription
Number of Incident Diabetes-related ED Visits and/or Hospitalizations12 monthsThe primary efficacy analysis will consider the number of incident diabetes-related ED visits and/or hospitalizations (i.e., an event) over 12 months after the index ED visit. Each ED visit or hospitalization is counted as a single event (although an ED visit that leads to a hospitalization is counted once). ED visits and hospitalization will be ascertained through chart reviews and subject self-report.

Secondary

MeasureTime frameDescription
Perceived Access to Health Care12 monthsPatient Satisfaction Questionnaire scores: Mean change from baseline to 12 months. There are seven subscales, and subscale scores range from 1 to 5 with higher scores indicating greater satisfaction.
Actual Access to Care12 monthsNumber of received Diabetes Quality Metrics (e.g., hemoglobin A1c testing, urine screening) by 12 months. The metrics are at least 2 HbA1c tests, 1 lipid test, 1 blood pressure check, 1 diabetes foot exam, and 1 dilated fundus examination. Scores range from 0 to 6, with 6 indicating better access to care.
Change From Baseline to 12 Months on Diabetes Self-Care Inventory Scores12 monthsFrequency of engaging in diabetes self-care behaviors; Scores range from 0 to 100 with higher scores indicating more frequent engagement in diabetes self-management behaviors.

Countries

United States

Participant flow

Recruitment details

Recruitment period: 1/10/2019 to 10/13/2021

Participants by arm

ArmCount
PREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)
Community Health Workers (CHWs), who are race-concordant with participants, will: 1) deliver in-home DM education to increase participants' knowledge and skills; 2) use DM-specific Behavioral Activation to improve DM self-care; and 3) facilitate telehealth visits with the participant's primary care physician (PCP) and a DM nurse educator to increase access to care. PREVENT: Community Health Workers (CHWs), who are race-concordant with participants, will: 1) deliver in-home DM education to increase participants' knowledge and skills; 2) use DM-specific Behavioral Activation to improve DM self-care; and 3) facilitate telehealth visits with the participant's primary care physician (PCP) and a DM nurse educator to increase access to care.
78
EUC (Enhanced Usual Care)
In-home diabetes education with no goal setting or telehealth visits EUC (Enhanced Usual Care): In-home diabetes education with no goal setting or telehealth visits
78
Total156

Baseline characteristics

CharacteristicPREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)TotalEUC (Enhanced Usual Care)
Age, Continuous56.4 years
STANDARD_DEVIATION 9.5
56.8 years
STANDARD_DEVIATION 9.5
57.2 years
STANDARD_DEVIATION 9.5
Ethnicity (NIH/OMB)
Hispanic or Latino
1 Participants3 Participants2 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
77 Participants153 Participants76 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Black or African American
78 Participants156 Participants78 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
0 Participants0 Participants0 Participants
Region of Enrollment
United States
78 participants156 participants78 participants
Sex: Female, Male
Female
48 Participants98 Participants50 Participants
Sex: Female, Male
Male
30 Participants58 Participants28 Participants
Stratification variable: Baseline HbA1c < 9.0% vs. > or equal to 9.0%
Baseline HbA1c < 9.0%
40 Participants82 Participants42 Participants
Stratification variable: Baseline HbA1c < 9.0% vs. > or equal to 9.0%
Baseline HbA1c > or equal to 9.0%
38 Participants74 Participants36 Participants
Stratification variable: Discharge status
Admitted from index visit
40 Participants79 Participants39 Participants
Stratification variable: Discharge status
Discharged home from index visit
38 Participants77 Participants39 Participants
Stratification variable: Primary care physician at Jefferson
Jefferson primary care physician
40 Participants80 Participants40 Participants
Stratification variable: Primary care physician at Jefferson
Non-Jefferson primary care physician
38 Participants76 Participants38 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 781 / 78
other
Total, other adverse events
0 / 780 / 78
serious
Total, serious adverse events
36 / 7839 / 78

Outcome results

Primary

Number of Incident Diabetes-related ED Visits and/or Hospitalizations

The primary efficacy analysis will consider the number of incident diabetes-related ED visits and/or hospitalizations (i.e., an event) over 12 months after the index ED visit. Each ED visit or hospitalization is counted as a single event (although an ED visit that leads to a hospitalization is counted once). ED visits and hospitalization will be ascertained through chart reviews and subject self-report.

Time frame: 12 months

Population: All randomized participants

ArmMeasureValue (MEAN)
PREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)Number of Incident Diabetes-related ED Visits and/or Hospitalizations.88 Incidence rate ratio
EUC (Enhanced Usual Care)Number of Incident Diabetes-related ED Visits and/or Hospitalizations1.29 Incidence rate ratio
Comparison: We used Poisson regression to model the number of outcome events as a function of randomization assignment, adjusting for the stratification variables and using follow-up time as the offset term. We calculated estimates of annual rates of the primary outcome and the adjusted estimate of the rate ratio. We evaluated the primary hypothesis by testing the null hypothesis that the rate ratio for randomization assignment equals 1.p-value: 0.1295% CI: [0.42, 1.07]Poisson regression
Secondary

Actual Access to Care

Number of received Diabetes Quality Metrics (e.g., hemoglobin A1c testing, urine screening) by 12 months. The metrics are at least 2 HbA1c tests, 1 lipid test, 1 blood pressure check, 1 diabetes foot exam, and 1 dilated fundus examination. Scores range from 0 to 6, with 6 indicating better access to care.

Time frame: 12 months

Population: All randomized participants

ArmMeasureValue (MEAN)
PREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)Actual Access to Care3.69 Number of quality metrics met
EUC (Enhanced Usual Care)Actual Access to Care3.42 Number of quality metrics met
Comparison: Analysis of covariance was performed with Number of Quality Metrics as the dependent variable, treatment arm as the main independent variable of interest and the stratification variables as adjusting variables.p-value: 0.2395% CI: [0.16, 0.69]ANCOVA
Secondary

Change From Baseline to 12 Months on Diabetes Self-Care Inventory Scores

Frequency of engaging in diabetes self-care behaviors; Scores range from 0 to 100 with higher scores indicating more frequent engagement in diabetes self-management behaviors.

Time frame: 12 months

Population: Participants who provided self-reported data at 6 and 12 months

ArmMeasureValue (MEAN)
PREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)Change From Baseline to 12 Months on Diabetes Self-Care Inventory Scores8.02 units on a scale
EUC (Enhanced Usual Care)Change From Baseline to 12 Months on Diabetes Self-Care Inventory Scores3.57 units on a scale
Comparison: We used mixed effects linear regression. Fixed effects included time (baseline, and months 6 and 12), randomization assignment, time by randomization interaction, and the three stratification variables. From the results of this model, we estimated the mean change from baseline to 6 months, 6 months to 12 months and baseline to 12 months within each treatment group. We then compared the change from baseline to 12 months between the two groups.p-value: 0.09495% CI: [-0.76, 9.66]Mixed Models Analysis
Secondary

Perceived Access to Health Care

Patient Satisfaction Questionnaire scores: Mean change from baseline to 12 months. There are seven subscales, and subscale scores range from 1 to 5 with higher scores indicating greater satisfaction.

Time frame: 12 months

Population: Participants who provided self-reported data at 6 and 12 months

ArmMeasureGroupValue (MEAN)
PREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)Perceived Access to Health CareCommunication.2 units on a scale
PREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)Perceived Access to Health CareInterpersonal Manner.18 units on a scale
PREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)Perceived Access to Health CareFinancial Aspects.13 units on a scale
PREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)Perceived Access to Health CareTechnical Quality.27 units on a scale
PREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)Perceived Access to Health CareAccessibility and Convenience.28 units on a scale
PREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)Perceived Access to Health CareTime Spent with Doctor.03 units on a scale
PREVENT (Preventing and Reducing Emergency Visits in Diabetes Through Education and Telehealth)Perceived Access to Health CareGeneral Satisfaction.22 units on a scale
EUC (Enhanced Usual Care)Perceived Access to Health CareTime Spent with Doctor.19 units on a scale
EUC (Enhanced Usual Care)Perceived Access to Health CareGeneral Satisfaction.11 units on a scale
EUC (Enhanced Usual Care)Perceived Access to Health CareFinancial Aspects.29 units on a scale
EUC (Enhanced Usual Care)Perceived Access to Health CareCommunication.17 units on a scale
EUC (Enhanced Usual Care)Perceived Access to Health CareAccessibility and Convenience.21 units on a scale
EUC (Enhanced Usual Care)Perceived Access to Health CareInterpersonal Manner.09 units on a scale
EUC (Enhanced Usual Care)Perceived Access to Health CareTechnical Quality.17 units on a scale
Comparison: We modeled PSQ- scores as continuous variables to estimate average change over time by treatment group. We used mixed effects linear regression with fixed effects for time (baseline, and months 6 and 12), randomization assignment, and time by randomization interaction. A random intercept term and an appropriate covariance structure was used to account for correlation among repeated measurements.p-value: 0.50295% CI: [-0.22, 0.45]Regression, Linear

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026