Cooper Green Mercy Health Systems
Birmingham, Alabama, 35233, United States
NCT Number: NCT03987841
We will conduct a single-arm pilot study of an integrated mindfulness-based stress reduction (MBSR)/diabetes self-management education (DSME) intervention in a small group of participants, low-income adults with type 2 diabetes and diabetes distress. We will evaluate the preliminary efficacy, acceptability, and feasibility of the intervention.
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Notify Me19 year–64 year
All sexes
Interventional
Not applicable
Birmingham, Alabama, 35233, United States
The intervention will comprise components of MBSR and DSME and will be delivered in a group setting with 8 weekly sessions. We anticipate enrollment of 30 participants, who will be adults with poorly controlled type 2 diabetes and elevated diabetes distress recruited from Cooper Green Mercy Health Systems, a safety-net health system serving residents of Jefferson County, Alabama. A trained masters-level interventionist will deliver the integrated intervention. The aim of the intervention is to reduce diabetes distress and improve glycemic control.
Participants will be assessed at baseline and 2 months. We will assess the preliminary efficacy of the intervention through pre/post evaluation of diabetes distress, diabetes self-management behaviors, and glycemic control as measured by hemoglobin A1c. Additionally, we will assess acceptability of the intervention through follow-up qualitative, focus groups with intervention participants; the feasibility of intervention delivery will be assessed using process measures.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Integrated mindfulness-based stress reduction/diabetes self-management education intervention. The intervention will comprise components of MBSR and DSME and will be delivered in a group setting with 8 weekly sessions. A trained masters-level interventionist will deliver the integrated intervention.
Time frame: Baseline
Measured by the diabetes distress scale (DDS), a 17-item self-report measure, assessing domains of emotional burden, physician-related distress, regimen-related distress, and interpersonal distress. The questionnaire will be administered to participants in English by a trained interviewer. The mean item score yields a possible score from 1 to 6; a score of <2 indicates little/no distress, 2 to 2.9 moderate distress, and ≥3 high distress.
Time frame: 2-months
Measured by the diabetes distress scale (DDS), a 17-item self-report measure, assessing domains of emotional burden, physician-related distress, regimen-related distress, and interpersonal distress. The questionnaire will be administered to participants in English by a trained interviewer. The mean item score yields a possible score from 1 to 6; a score of <2 indicates little/no distress, 2 to 2.9 moderate distress, and ≥3 high distress.
Time frame: Baseline
Participants will have a point-of-care A1C measured; A1C will be obtained by trained study personnel using finger-stick testing with the A1C Now+20 Test Kit (PTS diagnostics). A1C reports a % glycated hemoglobin level; a higher score indicates higher average blood glucose levels over the preceding 3 months. An A1C greater than or equal to 7.5% indicates poorly controlled type 2 diabetes.
Time frame: 2-months
Participants will have a point-of-care A1C measured; A1C will be obtained by trained study personnel using finger-stick testing with the A1C Now+20 Test Kit (PTS diagnostics). 1C reports a % glycated hemoglobin level; a higher score indicates higher average blood glucose levels over the preceding 3 months. An A1C greater than or equal to 7.5% indicates poorly controlled type 2 diabetes.
Time frame: Baseline
Measured by the Summary of Diabetes Self-Care Activities (SDSCA), a 10-item self-report measure that assesses diet (4-items), exercise (2-items), blood-glucose testing (2-items), and foot care (2-items). An example item is "How many of the last seven days have you followed a healthful eating plan?" Participants respond based on their self-care experience for the preceding week, from 0 to 7 indicating the number of days the participant performed the behavior. Each subscale is scored separately and scores are not combined. For each subscale, the score is the mean item score (i.e. mean number of days the activity was performed, range 0-7). A higher score indicates higher adherence to the self-care behavior. The questionnaire will be administered to participants in English by a trained interviewer.
Time frame: 2-months
Measured by the Summary of Diabetes Self-Care Activities (SDSCA), a 10-item self-report measure that assesses diet (4-items), exercise (2-items), blood-glucose testing (2-items), and foot care (2-items). An example item is "How many of the last seven days have you followed a healthful eating plan?" Participants respond based on their self-care experience for the preceding week, from 0 to 7 indicating the number of days the participant performed the behavior. Each subscale is scored separately and scores are not combined. For each subscale, the score is the mean item score (i.e. mean number of days the activity was performed, range 0-7). A higher score indicates higher adherence to the self-care behavior. The questionnaire will be administered to participants in English by a trained interviewer.
Time frame: Baseline
Participants will complete the Adherence to Refills and Medications - Diabetes (ARMS-D), an 11-item, self-report measure that includes medication-taking and refill subscales. Example item is "How often do you forget to take your diabetes medicine(s)?" Participants respond on a 4-point Likert scale from 1="none of the time" to 4="all of the time." Item responses are summed, combining subscales, yielding scores ranging from 11 to 44 (higher scores indicate greater difficulty with medication adherence). The questionnaire will be administered to participants in English by a trained interviewer.
Time frame: 2-months
Participants will complete the Adherence to Refills and Medications - Diabetes (ARMS-D), an 11-item, self-report measure that includes medication-taking and refill subscales. Example item is "How often do you forget to take your diabetes medicine(s)?" Participants respond on a 4-point Likert scale from 1="none of the time" to 4="all of the time." Item responses are summed, combining subscales, yielding scores ranging from 11 to 44 (higher scores indicate greater difficulty with medication adherence). The questionnaire will be administered to participants in English by a trained interviewer.
Time frame: 2-months
Acceptability will be assessed by conducting qualitative, semi-structured interviews with participants at the conclusion of the intervention. The interviews will gather participants' perspectives on the following: assessment of intervention content, perceived positive or negative effects, appropriateness of intervention duration and frequency, barriers to engagement, suggestions to improve the intervention, and overall satisfaction. Interviews will be recorded and transcribed. A combined inductive/deductive approach will be used for qualitative analysis, to identify themes reported by participants.
Time frame: Baseline
We will assess the percentage of screened participants who are eligible to participate in the study. Study staff will track the number of participants who are screened for participation and the number of participants who are eligible to participate.
Time frame: Baseline
We will assess the percentage of eligible participants who enroll in the study. Study staff will track the number of participants who are eligible for participation and the number of participants who enroll in the study.
Time frame: Baseline
We will collect demographics of study participants including age, race, ethnicity, and gender by participant self-report. This information will be obtained during a questionnaire administered to participants in English by a trained interviewer. We will use descriptive statistics to characterize the demographics of the study sample.
Time frame: 2-months
We will track the number of sessions attended by each participant and calculate the percentage of overall sessions attended for each participant.
University of Alabama at Birmingham
Other
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