Trial Outcomes & Findings for Twitter and Diabetes (NCT NCT02806700)

NCT ID: NCT02806700

Last Updated: 2024-10-21

Results Overview

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.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

628 participants

Primary outcome timeframe

baseline and 6 months

Results posted on

2024-10-21

Participant Flow

Participant milestones

Participant milestones
Measure
Twitter Diabetes Control
This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys
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)
Overall Study
STARTED
316
312
Overall Study
COMPLETED
226
252
Overall Study
NOT COMPLETED
90
60

Reasons for withdrawal

Withdrawal data not reported

Baseline Characteristics

Twitter and Diabetes

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Twitter Diabetes Control
n=316 Participants
This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys
Twitter Diabetes Intervention
n=295 Participants
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)
Total
n=611 Participants
Total of all reporting groups
Age, Continuous
52.0 year
STANDARD_DEVIATION 12.2 • n=5 Participants
52.0 year
STANDARD_DEVIATION 11.2 • n=7 Participants
52.0 year
STANDARD_DEVIATION 11.7 • n=5 Participants
Sex: Female, Male
Female
166 Participants
n=5 Participants
179 Participants
n=7 Participants
345 Participants
n=5 Participants
Sex: Female, Male
Male
150 Participants
n=5 Participants
116 Participants
n=7 Participants
266 Participants
n=5 Participants
Race/Ethnicity, Customized
Asian
5 Participants
n=5 Participants
2 Participants
n=7 Participants
7 Participants
n=5 Participants
Race/Ethnicity, Customized
Black
108 Participants
n=5 Participants
121 Participants
n=7 Participants
229 Participants
n=5 Participants
Race/Ethnicity, Customized
Latino/Spanish
6 Participants
n=5 Participants
3 Participants
n=7 Participants
9 Participants
n=5 Participants
Race/Ethnicity, Customized
Other/unknown
7 Participants
n=5 Participants
10 Participants
n=7 Participants
17 Participants
n=5 Participants
Race/Ethnicity, Customized
White
190 Participants
n=5 Participants
159 Participants
n=7 Participants
349 Participants
n=5 Participants
Region of Enrollment
United States · PA
247 Participants
n=5 Participants
248 Participants
n=7 Participants
495 Participants
n=5 Participants
Region of Enrollment
United States · NJ
53 Participants
n=5 Participants
44 Participants
n=7 Participants
97 Participants
n=5 Participants
Region of Enrollment
United States · Other
15 Participants
n=5 Participants
3 Participants
n=7 Participants
18 Participants
n=5 Participants
Region of Enrollment
United States · Missing
1 Participants
n=5 Participants
0 Participants
n=7 Participants
1 Participants
n=5 Participants
Education
College graduate
172 Participants
n=5 Participants
156 Participants
n=7 Participants
328 Participants
n=5 Participants
Education
High school or lower
34 Participants
n=5 Participants
37 Participants
n=7 Participants
71 Participants
n=5 Participants
Education
Some college
110 Participants
n=5 Participants
102 Participants
n=7 Participants
212 Participants
n=5 Participants
Employment status
Homemaker
15 Participants
n=5 Participants
17 Participants
n=7 Participants
32 Participants
n=5 Participants
Employment status
Student
3 Participants
n=5 Participants
0 Participants
n=7 Participants
3 Participants
n=5 Participants
Employment status
Employed
206 Participants
n=5 Participants
181 Participants
n=7 Participants
387 Participants
n=5 Participants
Employment status
Out of work
36 Participants
n=5 Participants
44 Participants
n=7 Participants
80 Participants
n=5 Participants
Employment status
Retired
56 Participants
n=5 Participants
53 Participants
n=7 Participants
109 Participants
n=5 Participants
Annual household income
> $100,000
111 Participants
n=5 Participants
77 Participants
n=7 Participants
188 Participants
n=5 Participants
Annual household income
$50,000 - 99,999
76 Participants
n=5 Participants
95 Participants
n=7 Participants
171 Participants
n=5 Participants
Annual household income
< $50,000
103 Participants
n=5 Participants
102 Participants
n=7 Participants
205 Participants
n=5 Participants
Annual household income
Missing
26 Participants
n=5 Participants
21 Participants
n=7 Participants
47 Participants
n=5 Participants
US residence
Yes
315 Participants
n=5 Participants
295 Participants
n=7 Participants
610 Participants
n=5 Participants
US residence
No
1 Participants
n=5 Participants
0 Participants
n=7 Participants
1 Participants
n=5 Participants
Self-rating of health
Fair
113 Participants
n=5 Participants
110 Participants
n=7 Participants
223 Participants
n=5 Participants
Self-rating of health
Good
160 Participants
n=5 Participants
133 Participants
n=7 Participants
293 Participants
n=5 Participants
Self-rating of health
Poor
17 Participants
n=5 Participants
27 Participants
n=7 Participants
44 Participants
n=5 Participants
Self-rating of health
Very good
25 Participants
n=5 Participants
18 Participants
n=7 Participants
43 Participants
n=5 Participants
Self-rating of health
Very poor
1 Participants
n=5 Participants
7 Participants
n=7 Participants
8 Participants
n=5 Participants
Prior Twitter use
No
98 Participants
n=5 Participants
101 Participants
n=7 Participants
199 Participants
n=5 Participants
Prior Twitter use
Yes
218 Participants
n=5 Participants
194 Participants
n=7 Participants
412 Participants
n=5 Participants
BMI, mean
33.6 kg/m^2
STANDARD_DEVIATION 8.5 • n=5 Participants
35.0 kg/m^2
STANDARD_DEVIATION 10.0 • n=7 Participants
34.3 kg/m^2
STANDARD_DEVIATION 9.3 • n=5 Participants

PRIMARY outcome

Timeframe: baseline and 6 months

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.

Outcome measures

Outcome measures
Measure
Twitter Diabetes Control
n=202 Participants
This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys
Twitter Diabetes Intervention
n=129 Participants
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)
Change in Patient Activation Measure (PAM) Score From Baseline
3.4 score on a scale
Standard Deviation 17.4
0.0 score on a scale
Standard Deviation 20.7

SECONDARY outcome

Timeframe: baseline and 6 months

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.

Outcome measures

Outcome measures
Measure
Twitter Diabetes Control
n=252 Participants
This group will be identified as having diabetes from Twitter. This group will be contacted and asked to complete brief surveys
Twitter Diabetes Intervention
n=226 Participants
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)
Change in Systolic Blood Pressure From Baseline
-19.8 mm Hg
Standard Deviation 19.3
-18.5 mm Hg
Standard Deviation 20.4

Adverse Events

Twitter Diabetes Control

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Twitter Diabetes Intervention

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Director of Research

Center for Digital Health

Phone: 2674280125

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place