Text Messaging for Weight Loss
Status: | Completed |
---|---|
Conditions: | Obesity Weight Loss, Diabetes |
Therapuetic Areas: | Endocrinology |
Healthy: | No |
Age Range: | 18 - Any |
Updated: | 4/21/2016 |
Start Date: | April 2014 |
End Date: | May 2015 |
The Comparative Effectiveness of Clinic-Based Weight Loss Strategies
The purpose of this study is to compare the effectiveness of text message-based support to
usual care at promoting weight loss in patients with pre-diabetes.
usual care at promoting weight loss in patients with pre-diabetes.
Text messaging has been shown to be effective for weight-loss in very limited testing. DH
has experience with both text message based intervention and weight management intervention.
This study aims to enhance Denver Health's (DH) existing Patient Relationship Management
(PRM) text message (SMS) infrastructure to include culturally-appropriate outreach to
promote weight loss.
Subjects will be randomized into one of two arms:
- Usual care: Patients randomized to this arm will not receive text messages or any other
weight-loss support besides usual care provided at DH. They will receive a weight loss
educational packet and be asked to follow up with their primary care provider to
further discuss their efforts at weight loss with additional follow-up as directed by
their provider. They will be contacted periodically to be weighed. Providers will not
be made aware that their patients are participating in the study's control arm.
- Text Message-based weight loss support. Patients will receive the same weight loss
educational packet as those randomized to usual care. Patients will be assisted in
choosing a self-management goal related to exercise and to eating behaviors. They will
receive text messages at a frequency up to 1x daily; input from focus groups will guide
text message frequency.
SMS content is similar to the Diabetes Prevention Program (DPP) curriculum and will fall
into the following categories:
- Outgoing "tips of the day"
- Interactive messages that solicit a simple response for the day from the participant
- Outgoing reminders to inform participant about events in the community and about clinic
appointments with their primary care provider.
Basic descriptive statistics for categorical variables will be generated to describe the
baseline demographic and clinical characteristics. Univariate analyses will be performed to
determine whether there are differences between patients in the three arms of the
intervention. For clinical outcomes, general linear mixed effects models will be used with
intervention and time (and their interactions) specified as fixed effects to determine
whether change over time in outcomes differs significantly for the three groups. A random
subject effect will be specified to model the correlation of observations taken on an
individual. Contrasts will be constructed to test the difference in interventions at six
months and 12 months. If the data do not follow an approximate normal distribution or cannot
be normalized using log transformation the ranks of the outcomes will be analyzed in the
mixed effects model. All statistical analyses will be performed using Statistical Analysis
Software (SAS) version 9.2.
The study is powered to detect a difference at six months between the text message group and
the usual care group. Previous research suggests that, with 60 participants per group,
researchers would have 89% power to detect a difference between groups of 1.7 kg. The
investigators think that this is a reasonable estimate, as subjects in the control group in
this study lost 0.4 kg, and it is believed that subjects in the control group will be weight
stable. While investigators anticipate that patients who participate in the DPP program will
lose weight, it is believed participation across the usual care and SMS groups will be
comparable as i) randomization is stratified to the two groups by past participation in the
DPP and ii) relatively equal participation in the two groups is anticipated throughout the
intervention period. This stratification is intended to equalize the effects of
class-attendance heterogeneity across the two study groups. The study aims to have 90
participants per group to improve the power for sub-group analyses.
has experience with both text message based intervention and weight management intervention.
This study aims to enhance Denver Health's (DH) existing Patient Relationship Management
(PRM) text message (SMS) infrastructure to include culturally-appropriate outreach to
promote weight loss.
Subjects will be randomized into one of two arms:
- Usual care: Patients randomized to this arm will not receive text messages or any other
weight-loss support besides usual care provided at DH. They will receive a weight loss
educational packet and be asked to follow up with their primary care provider to
further discuss their efforts at weight loss with additional follow-up as directed by
their provider. They will be contacted periodically to be weighed. Providers will not
be made aware that their patients are participating in the study's control arm.
- Text Message-based weight loss support. Patients will receive the same weight loss
educational packet as those randomized to usual care. Patients will be assisted in
choosing a self-management goal related to exercise and to eating behaviors. They will
receive text messages at a frequency up to 1x daily; input from focus groups will guide
text message frequency.
SMS content is similar to the Diabetes Prevention Program (DPP) curriculum and will fall
into the following categories:
- Outgoing "tips of the day"
- Interactive messages that solicit a simple response for the day from the participant
- Outgoing reminders to inform participant about events in the community and about clinic
appointments with their primary care provider.
Basic descriptive statistics for categorical variables will be generated to describe the
baseline demographic and clinical characteristics. Univariate analyses will be performed to
determine whether there are differences between patients in the three arms of the
intervention. For clinical outcomes, general linear mixed effects models will be used with
intervention and time (and their interactions) specified as fixed effects to determine
whether change over time in outcomes differs significantly for the three groups. A random
subject effect will be specified to model the correlation of observations taken on an
individual. Contrasts will be constructed to test the difference in interventions at six
months and 12 months. If the data do not follow an approximate normal distribution or cannot
be normalized using log transformation the ranks of the outcomes will be analyzed in the
mixed effects model. All statistical analyses will be performed using Statistical Analysis
Software (SAS) version 9.2.
The study is powered to detect a difference at six months between the text message group and
the usual care group. Previous research suggests that, with 60 participants per group,
researchers would have 89% power to detect a difference between groups of 1.7 kg. The
investigators think that this is a reasonable estimate, as subjects in the control group in
this study lost 0.4 kg, and it is believed that subjects in the control group will be weight
stable. While investigators anticipate that patients who participate in the DPP program will
lose weight, it is believed participation across the usual care and SMS groups will be
comparable as i) randomization is stratified to the two groups by past participation in the
DPP and ii) relatively equal participation in the two groups is anticipated throughout the
intervention period. This stratification is intended to equalize the effects of
class-attendance heterogeneity across the two study groups. The study aims to have 90
participants per group to improve the power for sub-group analyses.
Inclusion Criteria:
- ≥ 18 years of age or older
- Ownership of a cell phone with SMS capabilities
- HbA1c greater than 5.6 but less than 6.5
- BMI ≥ 25 kg/m2 and less than 50 kg/m2
- English or Spanish speakers.
Exclusion Criteria:
- Individuals with co-morbid illness with life expectancy less than 12 months (e.g.,
terminal cancer, Child's Class C hepatic cirrhosis)
- Diabetes based on an ICD-9 code in previous 3 years
- Institutionalized individuals
- Individuals not planning to stay in the area at least 6 months.
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