Zuni Health Initiative - Chronic Disease Education (ZHI-CDE)

January 8, 2024 updated by: University of New Mexico

A Home-based Educational Intervention Improves Patient Activation Measures and Diabetes Health Indicators Among Zuni Indians

One in three people will be diagnosed with diabetes by 2050, and the proportion will likely be higher among Native Americans. Diabetes control is currently suboptimal in underserved populations such as Zuni Indians despite a plethora of new therapies. Patient empowerment is a key determinant of diabetes control, but such empowerment can be difficult to achieve due to resource limitation and cultural, language and health literacy barriers. The investigators will conduct a home-based chronic disease (diabetes) educational intervention using Community Health Representatives (CHRs) to associate improvement in Patient Activation Measures scores (primary outcome) and clinical indicators of diabetes control (secondary outcomes).

Study Overview

Detailed Description

The number of American Indians and Alaska Natives (AI/ANs) who have diabetes is growing rapidly, especially among young people. At more than 16%, AI/ANs have the highest age-adjusted prevalence of diabetes among all U.S. racial and ethnic groups [1]. One such population is the Zuni Pueblo home to a small, geographically isolated tribe located in a rural portion of New Mexico, USA. It is home to ~11,000 Zuni Indians and over 90% of all Zunis live in the Pueblo. This socioeconomically disadvantaged population faces a major public health challenge from growing health disparities. Changing lifestyles have led to decreased physical activity and increased caloric intake with high consumption of fast food, soda pop and alcohol. Therefore, the Zuni are experiencing interrelated epidemics of obesity, diabetes, hypertension, kidney disease and intermediate phenotypes.

As part of the Zuni Health Initiative (ZHI), the investigators surveyed participants regarding barriers to healthcare [2], with particular attention to diabetes care. In ZHI the investigators also collected and stored clinical phenotype information and anthropological measurements from all participants. Participants identified the following barriers: access to care, language barriers, limited patient education, and anxiety around diagnosis, fear of chronic disease, reluctance to participate in self-care, resistance to dietary change, and reluctance to engage in regular exercise. The investigators have previously documented suboptimal glycemic control with a high burden of kidney disease among the Zuni [3, 4]. The burden presented by these barriers ultimately translates into a lack of patient activation and engagement in their healthcare, effectively hindering adoption of healthy behaviors. Focus groups subsequently identified common solutions to overcome some of these barriers, including home-based care, point of care testing, individualized exercise and nutrition prescriptions, and care providers with knowledge of the Zuni language, community and culture.

The information gathered during these focus groups [5] is used to design and implement a Zuni culture specific educational intervention in diabetes. The investigators have devised an innovative educational intervention based on the coordination of four key elements: (a) delivering healthcare that incorporated collaborative communication within the healthcare team and emphasized greater autonomy in care, adherence to the medical regimen, and patient-centered goal setting, all while retaining the ability to address the needs of patients, family members, the healthcare team, and/or the healthcare system; (b) providing innovative educational and organizational approaches, as well as behavior change strategies, that enhanced adherence; (c) addressing health beliefs that reduced adherence by over- or under-predicting maladaptive thoughts (e.g., catastrophizing, minimizing, cognitive dissonance, invincibility, or fatalism) or that interfered with weight control; and (d) using technology to address barriers to achieving desired health outcomes.

Sixty participants with type 2 diabetes (T2D) completed a baseline evaluation including physical exam, Point of Care (POC) testing, and the Patient Activation Measure (PAM) survey. Participants then underwent a one hour group didactic session led by Community Health Representatives (CHRs) who subsequently carried out monthly home-based educational interventions to encourage healthy lifestyles, including diet, exercise, and alcohol and cigarette avoidance until follow up at 6 months, when clinical phenotyping and the PAM survey were repeated.

Study Type

Observational

Enrollment (Actual)

60

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

21 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Study population is Zuni diabetics with HbA1c level of 6.6% and above in the age range of 21 yrs to 75 yrs old lining in Zuni Pueblo.

Description

Inclusion Criteria:

  • Diabetes with HbA1c greater than 6.6%
  • Zuni Native only
  • Age 21-75 yrs
  • on diabetes medication

Exclusion Criteria:

  • Non-Zuni Native
  • Non-diabetic
  • Not able to consent

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Patient Activation
Time Frame: 6 months
The Patient Activation Measure (PAM) instrument completed by participants using the short form PAM questionnaire [16, 17]. The response options for the 13 questions use a categorical agreement scale with 4 response options: (i) strongly disagree, (ii) disagree, (iii) agree, (iv) strongly agree, and N/A. The raw score is calculated by adding responses to the 13 questions. If all questions are answered (i.e., no "N/A" is used), the range of raw scores would be 13 to 52. If there is at least 1 item with a response of N/A, the total score will be divided by the number of items completed and multiplied by 13 to yield a normalized raw score. All study procedures were repeated 6-months later, following the intervention.
6 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diabetes associated health indicators
Time Frame: six months
HbA1c, Glucose, Lipids, BMI
six months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Vallabh Shah, PhD, University of New Mexico

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2012

Primary Completion (Actual)

June 1, 2012

Study Completion (Actual)

December 1, 2012

Study Registration Dates

First Submitted

January 12, 2015

First Submitted That Met QC Criteria

January 14, 2015

First Posted (Estimated)

January 15, 2015

Study Record Updates

Last Update Posted (Actual)

January 10, 2024

Last Update Submitted That Met QC Criteria

January 8, 2024

Last Verified

January 1, 2024

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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