| Literature DB >> 35200153 |
Ashley H Ng1, Deborah A Greenwood2, Eli Iacob3, Nancy A Allen3, Mila Ferrer4, Bruno Rodriguez3, Michelle L Litchman3.
Abstract
BACKGROUND: Type 2 diabetes is twice as likely to affect Hispanic people than their White counterparts. Technology and social support may be an important part of behavior change. In this study, we address gaps in diabetes care for Hispanic Spanish-speaking people with diabetes through an online peer support community (OPSC) pilot intervention using Hispanic Spanish-speaking peer facilitators with diabetes to enhance the use of continuous glucose monitoring (CGM) for diabetes management.Entities:
Keywords: T2D; behavior change; continuous glucose monitoring; diabetes; hispanic; online community; patient education; peer support; social support; technology; type 2 diabetes
Year: 2022 PMID: 35200153 PMCID: PMC8914754 DOI: 10.2196/31595
Source DB: PubMed Journal: JMIR Res Protoc ISSN: 1929-0748
Examples of possible weekly personal experiments to be discussed (posted in Spanish).
| Week | Topic | Examples of personal experiment prompts |
| 1 | Healthy eating | I will scan my Libre before and 2 hours after breakfast every day for one week to see how my glucose changes. |
| 2 | Being active | I will scan my libre before and 2 hours after walking or exercise every day for one week to see how my glucose changes. |
| 3 | Healthy sleep | I will scan my libre before bed and after waking up in the morning for one week to see how my glucose changes with hours of sleep. |
| 4 | Healthy coping | I will scan my libre before and 2 hours |
| 5 | Healthy eating | I will post a question every day to the online group asking for suggestions for healthy snacks I can take to work for one week. |
| 6 | Being active | I will post a question every day to the online group sharing the physical activity I am doing during the workday to increase steps. |
| 7 | Healthy sleep | I will stop looking at screens one hour before bed every night to increase my hours of sleep. |
| 8 | Healthy coping | I will use a meditation app once a day for 10 minutes to focus on stress reduction. |
| 9 | Healthy eating | I will try a new vegetable this week. |
| 10 | Being active | I will ride my bike to work 3 days a week. |
| 11 | Healthy sleep | I will stop drinking coffee by 2pm every day this week. |
| 12 | Healthy coping | I will take a bath at night before going to bed and relax for 20 minutes each night. |
Figure 1Study timeline. CGM: continuous glucose monitoring; OPSC: online peer support community.
Summary of study outcomes at each study time point.
| Variable | Measure | Data collection | ||||||
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| Study visit 1 (enrollment) | Study visit 2 at 1 week (T0) | Study visit 3 at 12 weeks (T1) | ||||
| Demographics | Age, gender, education level, income level, insurance type, ethnicity, employment, married, comorbidities | ✓ |
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| Clinical: weight, height, blood pressure | Weight: lb | ✓ |
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| Health history | Diabetes diagnosis, year of diagnosis, previous diabetes education | ✓ |
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| Diabetes management | Self-reported | ✓ |
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| Acceptability | Objective online engagement metrics including number of reactions or comments per post, number of views per post, and Likert scale responses to polls |
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| ✓ | |||
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| Feasibility | Attrition rates within online peer support group |
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| ✓ | |||
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| Satisfaction and participant experiences | Semistructured interviewsa |
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| ✓ | |||
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| Clinical measurements | Time in rangeb | ✓ (PRO CGMc,d placement) | ✓ (PRO CGM download, personal CGM placement) | ✓ (personal CGM download) | |||
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| Glycemic levels | A1c, standard CGM/isCGM data reporting [ | ✓ |
| ✓ | |||
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| Self-efficacy | Self-efficacy for diabetes [ | ✓ |
| ✓ | |||
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| Online peer support community engagement | Diabetes Online Community Engagement Survey [ | ✓ |
| ✓ | |||
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| Quality of life | WHO-5e [ | ✓ |
| ✓ | |||
aSemistructred interviews available in Multimedia Appendix 2.
bAverage glucose level and number of minutes in 70 mg/dl to 180mg/dl in last 7 days of the study compared to average glucose level and number of minutes in 70mg/dl to 180mg/dl measured by initial blinded 7 days of baseline glucose data.
cPRO CGM: professional continuous glucose monitoring.
dData is blinded to participants.
eWHO-5: World Health Organization Five.
Online peer support group platform metrics.
| Metric | Definition |
| Days visited | This metric reflects how many days the member has logged into the forum. |
| Read time | This metric reflects how much time the member has spent reading in the community since registering. |
| Recent read time | This metric reflects how much time the member has spent reading in the community within the last 60 days. |
| Topics viewed | This metric reflects how many posts the member has clicked on but not necessarily read them. |
| Posts read | This metric reflects how many posts the member has actually read, based on the time they spent scrolling. |
| Likes given | This metric reflects the number of times the member agrees, supports, and highlights posts. |
| Topics created | This metric reflects how many new topics the member has created within the forum. |
| Posts created | This metric reflects how many replies the member has given in different topics. |
| Likes received | This metric expresses agreement, supports, and highlights posts with the prominent button on every post. |
| Lasts post | This is the date of the last topic or post creation. |
| Last seen | This is the last time the member logged into the forum. |
| Views | This metric shows how many members have clicked on a topic. |
| Trust level | Members will have different trust levels depending on the frequency of their participations, it goes from Trust Level 0 (new user) to Trust level 3 (regular). |