Trial Outcomes & Findings for Technology-assisted Case Management in Adults With Type 2 Diabetes (NCT NCT01373489)
NCT ID: NCT01373489
Last Updated: 2024-07-12
Results Overview
Hemoglobin A1c (HbA1c) was measured at 6 months post randomization
Recruitment status
COMPLETED
Study phase
NA
Target enrollment
113 participants
Primary outcome timeframe
6 months post randomization
Results posted on
2024-07-12
Participant Flow
Participant milestones
| Measure |
Usual Care
Typical office-based practice. In this setting the patient is custodian of his/her own care. Between scheduled visits, the patient is responsible for complying with prescribed treatment including medications, diet and exercise regimen, blood glucose monitoring, and follow up visits. Contact between scheduled visits is patient-initiated and occurs when the patient perceives a problem with the treatment plan. For patients with poorly controlled T2DM, which is often asymptomatic prior to the onset of serious complications, this is a particularly ineffective strategy.
|
Technology-assisted Case Management (TACM)
This model capitalizes on information technology like the FORA system to link a case manager to poorly controlled diabetics in real time. Clearly a model that is applicable only to patients in need of intensive intervention, the advantages includes accurate data transfer to a medical decision maker and positive reinforcement/feedback to the patient via the FORA system to enhance adherence. If the case manager has physician-supervised prescriptive authority, then medication adjustments can be made daily or weekly, if needed, to achieve and maintain control. More frequent interventions, combined with improved compliance with medications and testing frequency, the strategies that are known to work, are enabled by this approach.
Technology-Assisted Case Management (TACM with the FORA 2-in-1 Telehealth System): The TACM intervention uses the FORA 2-in-1 Telehealth System for diabetes to link a case manager to poorly controlled diabetics in real time.
|
|---|---|---|
|
Overall Study
STARTED
|
59
|
54
|
|
Overall Study
COMPLETED
|
44
|
41
|
|
Overall Study
NOT COMPLETED
|
15
|
13
|
Reasons for withdrawal
Withdrawal data not reported
Baseline Characteristics
Technology-assisted Case Management in Adults With Type 2 Diabetes
Baseline characteristics by cohort
| Measure |
Usual Care
n=59 Participants
Typical office-based practice. In this setting the patient is custodian of his/her own care. Between scheduled visits, the patient is responsible for complying with prescribed treatment including medications, diet and exercise regimen, blood glucose monitoring, and follow up visits. Contact between scheduled visits is patient-initiated and occurs when the patient perceives a problem with the treatment plan. For patients with poorly controlled T2DM, which is often asymptomatic prior to the onset of serious complications, this is a particularly ineffective strategy.
|
Technology-assisted Case Management (TACM)
n=54 Participants
This model capitalizes on information technology like the FORA system to link a case manager to poorly controlled diabetics in real time. Clearly a model that is applicable only to patients in need of intensive intervention, the advantages includes accurate data transfer to a medical decision maker and positive reinforcement/feedback to the patient via the FORA system to enhance adherence. If the case manager has physician-supervised prescriptive authority, then medication adjustments can be made daily or weekly, if needed, to achieve and maintain control. More frequent interventions, combined with improved compliance with medications and testing frequency, the strategies that are known to work, are enabled by this approach.
Technology-Assisted Case Management (TACM with the FORA 2-in-1 Telehealth System): The TACM intervention uses the FORA 2-in-1 Telehealth System for diabetes to link a case manager to poorly controlled diabetics in real time.
|
Total
n=113 Participants
Total of all reporting groups
|
|---|---|---|---|
|
Age, Categorical
Between 18 and 65 years
|
59 Participants
n=5 Participants
|
54 Participants
n=7 Participants
|
113 Participants
n=5 Participants
|
|
Age, Categorical
>=65 years
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Age, Categorical
<=18 years
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Sex: Female, Male
Female
|
48 Participants
n=5 Participants
|
44 Participants
n=7 Participants
|
92 Participants
n=5 Participants
|
|
Sex: Female, Male
Male
|
11 Participants
n=5 Participants
|
10 Participants
n=7 Participants
|
21 Participants
n=5 Participants
|
|
Race (NIH/OMB)
American Indian or Alaska Native
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Asian
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Black or African American
|
46 Participants
n=5 Participants
|
39 Participants
n=7 Participants
|
85 Participants
n=5 Participants
|
|
Race (NIH/OMB)
White
|
13 Participants
n=5 Participants
|
11 Participants
n=7 Participants
|
24 Participants
n=5 Participants
|
|
Race (NIH/OMB)
More than one race
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Unknown or Not Reported
|
0 Participants
n=5 Participants
|
4 Participants
n=7 Participants
|
4 Participants
n=5 Participants
|
PRIMARY outcome
Timeframe: 6 months post randomizationPopulation: Final analysis used baseline A1c analysis of covariance for differences in levels of A1c at 6 months between the treatment groups with baseline A1c as covariate.
Hemoglobin A1c (HbA1c) was measured at 6 months post randomization
Outcome measures
| Measure |
Usual Care
n=59 Participants
Typical office-based practice. In this setting the patient is custodian of his/her own care. Between scheduled visits, the patient is responsible for complying with prescribed treatment including medications, diet and exercise regimen, blood glucose monitoring, and follow up visits. Contact between scheduled visits is patient-initiated and occurs when the patient perceives a problem with the treatment plan. For patients with poorly controlled T2DM, which is often asymptomatic prior to the onset of serious complications, this is a particularly ineffective strategy.
|
Technology-assisted Case Management (TACM)
n=54 Participants
This model capitalizes on information technology like the FORA system to link a case manager to poorly controlled diabetics in real time. Clearly a model that is applicable only to patients in need of intensive intervention, the advantages includes accurate data transfer to a medical decision maker and positive reinforcement/feedback to the patient via the FORA system to enhance adherence. If the case manager has physician-supervised prescriptive authority, then medication adjustments can be made daily or weekly, if needed, to achieve and maintain control. More frequent interventions, combined with improved compliance with medications and testing frequency, the strategies that are known to work, are enabled by this approach.
Technology-Assisted Case Management (TACM with the FORA 2-in-1 Telehealth System): The TACM intervention uses the FORA 2-in-1 Telehealth System for diabetes to link a case manager to poorly controlled diabetics in real time.
|
|---|---|---|
|
Hemoglobin A1c (HbA1c) at 6 Months Post Randomization
|
10.0 percentage of glycosylated hemoglobin
Standard Deviation 2.7
|
9.0 percentage of glycosylated hemoglobin
Standard Deviation 1.9
|
Adverse Events
Usual Care
Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths
Technology-assisted Case Management (TACM)
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
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place