Comparing Program Options for Latinos With Diabetes

Diabetes Mellitus Clinical Trial

Official title: A Patient-Centered Framework to Test the Comparative Effectiveness of Culturally and Contextually Appropriate Program Options for Latinos With Diabetes From Low-Income Households

Status Completed

Clinical Trial Summary

BACKGROUND AND SIGNIFICANCE: Diabetes is a national health problem, yet Latinos from low-income households are at greater risk. Although guidelines recommend that patients learn self-management strategies, many people are not able to do so effectively and cannot control their diabetes. Studies show that culturally competent self-management programming can help, but patients in preliminary research indicated that not all programs sufficiently respect patients' cultural values or account for their socio-economic limitations. STUDY AIMS: This project will compare two models for culturally competent diabetes self-management programming. The hypothesis is that the program model that best considers patient culture and accommodates patient socio-economic circumstances will have the best outcomes. COMPARATORS: 2 diabetes self-management program models used by many Latino patients from low-income households in Albuquerque, New Mexico 1. The Diabetes Self-Management Support Empowerment Model 2. The Chronic Care Model STUDY POPULATION: Patients will be 240 individuals who consider themselves to be Latino and who are from low-income households. In addition, 240 patients will identify a corresponding social support to participate with them. Outcomes will be measured based on the 240 patient participants. Social support data will be measured as a covariate to understand patient outcomes. PRIMARY OUTCOME: Improved capacity for diabetes self-management measured as diabetes knowledge and patient activation or the ability to put that knowledge into action. SECONDARY OUTCOME: Successful diabetes self-management measured through reduced A1c, BMI and depression. Patient stress levels will also be measured using testing of hair samples to identify levels of cortisol as a biological marker for chronic stress. METHODS: Statistical calculations will be conducted to make sure that the things being compared are differences in program design and not differences in individual patient characteristics. This study will compare whether the programs improve diabetes health knowledge, ability to act, and A1c, BMI, depression and stress control, and determine which program is the best.

Clinical Trial Description

BACKGROUND AND SIGNIFICANCE: Diabetes is a national health priority but diabetes risk is extremely high for Latinos from low-income households. Health guidelines recommend that individuals learn strategies to self-management their diabetes, but getting people to adopt required lifestyle changes is challenging and many people are not able to prevent their pre-diabetes from escalating or to control their diabetes. Systematic reviews show that culturally competent self-management programming can significantly improve diabetes outcomes, and different models for culturally competent programming have been developed. STUDY AIMS: The goal of this study is to compare the effectiveness of 2 distinct evidence-based models for culturally competent diabetes health promotion. The hypothesis is that the program model that interfaces most synergistically with patient's culture and everyday life circumstances will have the best diabetes health outcomes. Aim 1: Characterize the ways that three culturally competent diabetes self-management programs interface with patient culture and socioeconomic context Aim 2: Measure and compare improvement in patient capacity for diabetes self-management. Aim 3: Measure and compare patient success at self-management Study Description OVERALL STUDY DESIGN: This study follows NIH standards for mixed-method research by integrating data from quantitative and qualitative components of the study in an iterative fashion. The sample size and power estimates are based on realistic evaluation of effect size. Data collection will involve programmatic assessments, interviews, focus groups, surveys, and testing for A1c, BMI, and stress. The research team has the expertise and experience in patient-engaged research necessary to conduct the proposed study and the investigators have an institutional infrastructure that supports the academic and community partnerships necessary for this study. MAIN COMPONENTS OF THE INTERVENTION AND COMPARATORS: This study compares 2 diabetes self-management programs that serve a large Latino patient population from low-income households in Albuquerque, New Mexico 1. The Diabetes Self-Management Support Empowerment Model 2. The Chronic Care Model PRIMARY & SECONDARY OUTCOMES: PRIMARY: Improved capacity for diabetes self-management measured through improvements in diabetes knowledge and diabetes-related patient activation. SECONDARY: Successful diabetes self-management. ANALYTIC METHODS: Descriptive statistics will be calculated to summarize patient characteristics. Means and standard deviations or medians and quartiles will be calculated for continuous variables and will be compared across site by ANOVA or Kruskal-Wallis test, depending on the distribution of the data. Frequencies and percentages will be calculated for categorical variables and will be compared with the chi-square test or Fisher's exact test, as appropriate. Significant differences will be noted and to adjust for possible confounding, those variables will be considered for inclusion as covariates in the analyses for the primary and secondary outcomes in addition to other clinically meaningful variables and their interactions. It is expected that patient characteristics to be similar across the two treatment sites; however, to control for potential differences in the populations, the investigators will adjust for potential confounding covariates by using propensity scores to stratify subjects into groups based on the probability that they attended a particular treatment site given particular demographic characteristics including sex, age, primary language, level of education, nativity, and type of insurance. Patients will be grouped by quintile of propensity score for a total of five strata and each will be analyzed for the primary and secondary outcomes independently. Analyses will be performed in standard statistical software. Propensity score matching allows for causal inference in our non-experimental settings by selecting similar subsets of comparison units between treatment groups across a high-dimensional set of pretreatment characteristics. For qualitative data, the investigators will conduct a rigorous, disciplined, empirical analysis based on plausibility, credibility and relevance. The investigators will conduct a theory-driven qualitative content analysis, reading through transcripts to identify conceptual categories and patterns related to specified domains of inquiry, creating a qualitative codebook, and developing conceptual summaries for each transcript. Following review and summary, the investigators will code transcripts for systematic themes and subthemes and explore interconnections between theme categories and develop a holistic interpretation of the data ("constant comparison"). ;

Related Conditions & MeSH terms

• Diabetes Mellitus

• NCT number: NCT03004664
• Study type: Observational
• Source: University of New Mexico
• Status: Completed
• Start date: February 1, 2017
• Completion date: January 30, 2023