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| ID | Type | Description | Link |
|---|---|---|---|
| R01HL122457-01A1 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Heart, Lung, and Blood Institute (NHLBI) | NIH |
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Twitter use is surprisingly well represented across broad demographic population segments and health-related messages. The promise of using Twitter is that its use is growing rapidly, it allows the investigators to view communications that were impossible to intercept before, and it potentially provides information faster and less expensively than collection from other media channels. Prior work also supports that social media interventions can improve health behavior change (e.g. weight loss, physical activity) and outcomes.The overarching goals of this proposal are to understand the uses and limitations of this communication channel to improve patients' ability to manage their CV health condition.
Use Twitter to deliver high impact CV health related content to improve patient activation and disease management for diabetes.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Twitter Diabetes Control | No Intervention | This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys | |
| Twitter Diabetes Intervention | Experimental | This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys. This group will be asked to use twitter for heart health ( e.g. tweeting, following, receiving tweets) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Twitter Diabetes Intervention | Behavioral | This group will be asked to use twitter for heart health ( e.g. tweeting, following, receiving tweets) |
|
| Measure | Description | Time Frame |
|---|---|---|
| Change in Patient Activation Measure (PAM) Score From Baseline | The Patient Activation Measure (PAM) is a validated and reliable tool that assesses a person's ability to manage their health, using a 100-point total score scale and four activation levels. The total score ranges from 0 to 100, with higher scores indicating better outcomes-specifically, higher scores represent better outcomes. The overall score is summed from individual items, reflecting the level of activation and self-management ability. The four levels are: Level 1 (Score: 0-47.0): Lowest activation, indicating disengagement and lack of confidence in managing health. Level 2 (Score: 47.1-55.1): Some awareness of self-management but limited skills and confidence. Level 3 (Score: 55.2-67.0): Actively trying to manage health but inconsistent success. Level 4 (Score: 67.1-100): Highest activation, indicating confidence and proactive health management. | baseline and 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| Change in Systolic Blood Pressure From Baseline | Initial systolic blood pressure (SBP) measurements were obtained from the electronic medical record (EMR). For the majority of patients, final blood pressure measurements (i.e., the 6-month measurement) were obtained in a five to eight month period after enrollment from a documented reading in the the EMR. For patients who did not have a documented SBP reading in the health system during this time period, we requested that patients either meet our team in person for a manual reading or provide a photograph from their mobile phone of the screen showing their SBP reading from a home blood pressure cuff, pharmacy machine, or doctor's office from outside of our health system. |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Pennsylvania | Philadelphia | Pennsylvania | 19104 | United States |
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| ID | Title | Description |
|---|---|---|
| FG000 | Twitter Diabetes Control | This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys |
| FG001 | Twitter Diabetes Intervention | This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys. This group will be asked to use twitter for heart health ( e.g. tweeting, following, receiving tweets) Twitter Diabetes Intervention: This group will be asked to use twitter for heart health ( e.g. tweeting, following, receiving tweets) |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
Total number of participants who completed baseline survey and were randomized
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| ID | Title | Description |
|---|---|---|
| BG000 | Twitter Diabetes Control | This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys |
| BG001 | Twitter Diabetes Intervention |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Age |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Change in Patient Activation Measure (PAM) Score From Baseline | The Patient Activation Measure (PAM) is a validated and reliable tool that assesses a person's ability to manage their health, using a 100-point total score scale and four activation levels. The total score ranges from 0 to 100, with higher scores indicating better outcomes-specifically, higher scores represent better outcomes. The overall score is summed from individual items, reflecting the level of activation and self-management ability. The four levels are: Level 1 (Score: 0-47.0): Lowest activation, indicating disengagement and lack of confidence in managing health. Level 2 (Score: 47.1-55.1): Some awareness of self-management but limited skills and confidence. Level 3 (Score: 55.2-67.0): Actively trying to manage health but inconsistent success. Level 4 (Score: 67.1-100): Highest activation, indicating confidence and proactive health management. | Posted | Mean | Standard Deviation | score on a scale | baseline and 6 months |
|
Adverse events were not monitored/assessed
Adverse events were not monitored/assessed
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Twitter Diabetes Control | This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys |
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The actual impact of regular tweeting about health may not have been fully actualized in this study. Creating de novo content requires a certain amount of inertia, and prior work shows that individuals engage on social media as passive consumers. The study design was intended to be pragmatic and model real-world use of social media, we did not provide any additional nudges, and although a weekly reminder was useful, participants may have needed feedback on how their tweets were being received.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Director of Research | Center for Digital Health | 2674280125 | digitalhealth@uphs.upenn.edu |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Apr 10, 2018 | Apr 20, 2018 | Prot_000.pdf |
| SAP | No | Yes | No | Statistical Analysis Plan | Apr 10, 2018 | Apr 20, 2018 | SAP_001.pdf |
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| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D002318 | Cardiovascular Diseases |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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| baseline and 6 months |
This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys. This group will be asked to use twitter for heart health ( e.g. tweeting, following, receiving tweets)
Twitter Diabetes Intervention: This group will be asked to use twitter for heart health ( e.g. tweeting, following, receiving tweets)
| BG002 | Total | Total of all reporting groups |
| Standard Deviation |
| year |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Race/Ethnicity, Customized | Count of Participants | Participants |
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| Region of Enrollment | Count of Participants | Participants |
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| Education | Count of Participants | Participants |
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| Employment status | Count of Participants | Participants |
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| Annual household income | Count of Participants | Participants |
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| US residence | Count of Participants | Participants |
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| Self-rating of health | Count of Participants | Participants |
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| Prior Twitter use | Count of Participants | Participants |
|
| BMI, mean | Mean | Standard Deviation | kg/m^2 |
|
This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys |
| OG001 | Twitter Diabetes Intervention | This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys. This group will be asked to use twitter for heart health ( e.g. tweeting, following, receiving tweets) Twitter Diabetes Intervention: This group will be asked to use twitter for heart health ( e.g. tweeting, following, receiving tweets) |
|
|
| Secondary | Change in Systolic Blood Pressure From Baseline | Initial systolic blood pressure (SBP) measurements were obtained from the electronic medical record (EMR). For the majority of patients, final blood pressure measurements (i.e., the 6-month measurement) were obtained in a five to eight month period after enrollment from a documented reading in the the EMR. For patients who did not have a documented SBP reading in the health system during this time period, we requested that patients either meet our team in person for a manual reading or provide a photograph from their mobile phone of the screen showing their SBP reading from a home blood pressure cuff, pharmacy machine, or doctor's office from outside of our health system. | Posted | Mean | Standard Deviation | mm Hg | baseline and 6 months |
|
|
|
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| EG001 | Twitter Diabetes Intervention | This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys. This group will be asked to use twitter for heart health ( e.g. tweeting, following, receiving tweets) Twitter Diabetes Intervention: This group will be asked to use twitter for heart health ( e.g. tweeting, following, receiving tweets) | 0 | 0 | 0 | 0 | 0 | 0 |
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