Diabetes MellitusNCT02021591
Efficacy Study of Interactive Web Application for Problem Solving in Diabetes Management
A study testing Mobile Diabetes Detective (MoDD) in people with Diabetes Mellitus, run by Columbia University at 1 site in United States.
Trial summary
The main hypothesis of this research is that use of an informatics intervention for problem-solving in diabetes management, Mobile Diabetes Detective (MoDD), by individuals with type 2 diabetes will lead to positive improvements on a number of primary and secondary outcomes related to their health and their management… Read more about this study
- Who is it for?
- Ages 18 to 65 years
- Conditions the study is for
- Diabetes Mellitus
- What is being tested?
- Mobile Diabetes Detective (MoDD)
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 248 participants
- Where
- 1 siteUnited States
- Study dates
- 30 Dec 2013to 31 Mar 2017
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 65 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Age 18-65 years
- A diagnosis of Type 2 Diabetes with HbA1c ≥ 8.0. A patient of the health center for at least 6 months
- Has participated in at least one diabetes education session at the participating site in the last 6 months
- Proficient in either English or Spanish
- Must own a basic cell phone
Who cannot join
- Pregnancy
- Presence of serious illness (e.g. cancer diagnosis with active treatment, advanced stage heart failure, multiple sclerosis)
- Presence of cognitive impairment
- Plans for leaving the community health center (CHC) in the next 12 months
- Does not have a computer and/or Internet access
Trial locations and contacts
1 site in 1 country.
United States1 site
Clinical Directors Network
New York, New York, 10018
About this study
Official title: Randomized Clinical Trial of Health Information Technology for Problem Solving in Diabetes Management
The main hypothesis of this research is that use of an informatics intervention for problem-solving in diabetes management, Mobile Diabetes Detective (MoDD), by individuals with type 2 diabetes will lead to positive improvements on a number of primary and secondary outcomes related to their health and their management of diabetes. The primary outcomes are a reduction in individuals' glycolated hemoglobin (HbA1c), improvement in their problem-solving abilities, and self-care behaviors. Secondary outcomes include a reduction in individuals' fasting blood glucose (BG); improvement in individuals' self-efficacy, and in emotional aspect of living with diabetes. We hypothesize that primary and secondary outcome effects will be sustained at three months and twelve months. Exploratory outcomes include a decrease in individuals' Cardiovascular Risk (Body Mass Index, Blood Pressure, Total, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) Cholesterol levels, and Framingham Cardiovascular Risk Score). We also hypothesize that improvements in clinical outcomes (HbA1c, fasting BG and Cardiovascular Risk) will be mediated by the improvements in problem-solving abilities and self-efficacy.
Read the detailed description
Well-developed problem-solving is essential to successful diabetes management results in better diabetes self-care behaviors, and leads to improvements in clinical outcomes. Problem-solving is central to many self-management and behavior change programs; the American Diabetes Association (ADA) includes problem-solving as a critical self-care behavior. Given the importance of problem solving skills, innovative diabetes education programs, such as Discovering Diabetes, have been developed and shown to be effective in fostering independent problem-solving.
At the same time, many care management programs and diabetes education centers struggle with staffing shortages, limited funding, and competitive time demands. As a result, 50 to 80% of individuals with diabetes experience significant knowledge and skill deficits. Health Information Technology (HIT) can make successful interventions available to more diverse populations. At present, however, many HIT interventions target improved patient-clinician communication and logging and monitoring, rather than focusing more specifically on fostering problem-solving skills. Moreover, few HIT interventions have been rigorously evaluated in controlled trials. The main contribution of this research is a theoretically-grounded HIT intervention, Mobile Diabetes Detective (MoDD), that incorporates best practices and current guidelines for supporting and fostering individuals' problem-solving skills in context of diabetes self-management. In our prior work we developed and evaluated a mobile application for reflection and discovery in diabetes management, MAHI (Mobile Access to Health Information). MAHI helped individuals with diabetes capture diabetes-related experiences and reflect on them under a supervision of a diabetes educator. The proposed intervention, MoDD will further extend this prior work, specifically focusing on guided problem-solving through experimentation. The intervention will utilize an open source platform for disease self-management developed by the research team.
If the results are achieved, the project will have significant impact both locally and globally. Locally, diabetes continues to be a major problem in NYC, particularly among disadvantaged populations, many of whom are served by the Health Resources and Services Administration (HRSA) funded Community Health Centers (CHCs) participating in this study. In the past 10 years, the number of people with diabetes in NYC has more than doubled. An estimated 530,000 adult New Yorkers have been diagnosed with diabetes, with another 265,000 having diabetes but are unaware. In the HRSA funded CHCs in New York State, 8% of the adult patients have a diagnosis of diabetes. At the same time, our prior studies showed that despite such barriers as low health literacy or lower socio-economic status, disadvantaged populations in NYC can greatly benefit from informatics interventions that target health and wellness. The proposed research will use HIT to partially assuage the ongoing challenge of control and management of diabetes. The expected improvement in problem-solving skills has been shown to lead to improved self-care behaviors, such as a more careful diet and appropriate level of exercise, and significant reduction in HbA1c7, which in turn has been linked to reduction in diabetes-related complications. Thinking more broadly, this research can provide new insights into facilitating problem-solving in diabetes management with HIT, as an alternative to more traditional staff-intensive interventions.
- Conditions
- Diabetes Mellitus
- Being tested
- Mobile Diabetes Detective (MoDD)
- Keywords
- Diabetes, Chronic disease, problem solving, self management
- Medical subject headings
- Diabetes Mellitus, Chronic Disease
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Mobile Diabetes Detective (MoDD)Behavioural
MoDD is a web-based application that is designed to help individuals with diabetes identify specific problems related to glycemic control, and engage in problem-solving process. MoDD includes a number of messages that explain its users the nature of various problems related to glycemic control, aspects of individuals' behaviors that might have contributed to these problems, and alternative behaviors that could help to improve glycemic control. In addition to these messages displayed on the MoDD website, study participants may receive SMS messages with reminders to test blood glucose, or to follow the selected new behavior.
| Study group | Role | What they receive |
|---|---|---|
| Control | No intervention | Control Arm: Study participants attending one of the 4 control arm centers will receive usual diabetes education provided by staff at the site; be provided with free test strips for their blood glucose meters during the 4-week intervention period; given access to the MODD application at the end of the study. Instructions on how to use the MODD will be provided by site staff. |
| Intervention | Experimental | Intervention: Mobile Diabetes Detective (MoDD) Study participants attending one of the 4 Intervention sites will receive usual diabetes education provided by staff at the site and be given access to the MODD application and instructions for use for 4 weeks at the beginning of the study. After the initial 4 weeks of access to the MODD application, participants will be offered an option to continue using MODD for the duration of the study. Receives: Behavioral: Mobile Diabetes Detective (MoDD) |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change in HgA1c
Glycated hemoglobin is a form of hemoglobin that is measured primarily to identify the average plasma glucose concentration over prolonged periods of time.
Measured: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Score on the Diabetes Problem-Solving Inventory (DPSI)
Diabetes Problem-Solving Inventory (DPSI) is a 9-item questionnaire that assesses individuals' problem-solving skills as applied specifically to overcoming barriers to diabetes self-management.
Measured: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Score on the Summary of Diabetes Self-Care Activities Questionnaire (SDSCA)
Summary of Diabetes Self-Care Activities Questionnaire (SDSCA) contains 12 items with 5 subscales (diet, exercise, blood glucose testing, foot care, smoking status). The respondent is asked how many days in the past week he/she performed the behavior; higher scores indicate higher performance.
Measured: Baseline, post-intervention 4 weeks, 3 months, 12 months
Secondary outcomes (8)
Change in Score on Problem Areas in Diabetes Scale (PAID)
Problem Areas in Diabetes Scale (PAID) is a 20 item 5 point Likert scale that measures the emotional aspect of living with diabetes .
Measured: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Score on the Diabetes Self-Efficacy Scale (DSES)
Diabetes Self-Efficacy Scale (DSES) is 15-item 10-point Likert scale (1-cannot do at all; 10-Certain can do) that measures the belief that one can self-manage one's own health, specifically adapted to diabetes.
Measured: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Score on the Patient Health Questionnaire-2 (PHQ-2)
Patient Health Questionnaire-2 inquires about the frequency of depressed mood and anhedonia over the past 2 weeks, scoring each as 0 ("not at all") to 3 ("nearly every day").
Measured: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Fasting Blood Glucose Level
Fasting blood glucose will be collected from patients' charts.
Measured: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Total Cholesterol
Measured: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Blood Pressure
Blood pressure will be collected using patients' charts.
Measured: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in High-Density Lipoprotein
Measured: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Low-Density Lipoprotein
Measured: Baseline, post-intervention 4 weeks, 3 months, 12 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Dec 2013 (estimated)
- Study start30 Dec 2013
- Primary completion3 Feb 2017
- Study completion31 Mar 2017
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (11)Papers the sponsor has linked to this study.
- Other trials for Diabetes MellitusStudies of the same condition, open and under way.
- More trials run by Columbia UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 248 participants (actual)
Sponsor and investigators
- Lead sponsor
- Columbia University
- Sponsor type
- University, hospital or other
- Collaborators
- Clinical Directors Network, Georgia Institute of Technology, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
- Responsible party
- Principal investigator, Olena Mamykina, PhD, Columbia University
- Investigators
- Olena Mamykina, PhD, Principal investigator, Columbia UniversityJonathan Tobin, PhD, Study chair, Clinical Directors Network
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02021591
- Sponsor's protocol ID
- AAAM0057
- Other IDs
- 1R01DK090372-01A1
- Status last verified
- Mar 2018
- First submitted
- 18 Dec 2013
- Last updated
- 2 Mar 2026
- Results posted
- No
- Data monitoring committee
- Yes
- Individual data sharing
- Undecided
Publications
Hill-Briggs F. Problem solving in diabetes self-management: a model of chronic illness self-management behavior. Ann Behav Med. 2003 Summer;25(3):182-93. doi: 10.1207/S15324796ABM2503_04.
PubMed 12763713Paterson B, Thorne S. Expert decision making in relation to unanticipated blood glucose levels. Res Nurs Health. 2000 Apr;23(2):147-57. doi: 10.1002/(sici)1098-240x(200004)23:23.0.co;2-s.
PubMed 10782873Bonnet C, Gagnayre R, d'Ivernois JF. Learning difficulties of diabetic patients: a survey of educators. Patient Educ Couns. 1998 Oct;35(2):139-47. doi: 10.1016/s0738-3991(98)00051-2.
PubMed 10026556Cook S, Aikens JE, Berry CA, McNabb WL. Development of the diabetes problem-solving measure for adolescents. Diabetes Educ. 2001 Nov-Dec;27(6):865-74. doi: 10.1177/014572170102700612.
PubMed 12211926Glasgow RE, Toobert DJ, Riddle M, Donnelly J, Mitchell DL, Calder D. Diabetes-specific social learning variables and self-care behaviors among persons with type II diabetes. Health Psychol. 1989;8(3):285-303. doi: 10.1037//0278-6133.8.3.285.
PubMed 2767020Toobert DJ, Glasgow RE. Problem solving and diabetes self-care. J Behav Med. 1991 Feb;14(1):71-86. doi: 10.1007/BF00844769.
PubMed 2038046Costa BM, Fitzgerald KJ, Jones KM, Dunning Am T. Effectiveness of IT-based diabetes management interventions: a review of the literature. BMC Fam Pract. 2009 Nov 17;10:72. doi: 10.1186/1471-2296-10-72.
PubMed 19917136Glasgow RE, Funnell MM, Bonomi AE, Davis C, Beckham V, Wagner EH. Self-management aspects of the improving chronic illness care breakthrough series: implementation with diabetes and heart failure teams. Ann Behav Med. 2002 Spring;24(2):80-7. doi: 10.1207/S15324796ABM2402_04.
PubMed 12054323Whitlock EP, Orleans CT, Pender N, Allan J. Evaluating primary care behavioral counseling interventions: an evidence-based approach. Am J Prev Med. 2002 May;22(4):267-84. doi: 10.1016/s0749-3797(02)00415-4.
PubMed 11988383Mamykina L, Smaldone AM, Bakken SR, Cole-Lewis H, Heitkemper EM, Jia H, Kukafka R, Tobin JN, Cassells A, Davidson PG, Mynatt ED, Hripcsak G. Promoting Problem-Solving Among Low-Income Adults With Type 2 Diabetes: Cluster-Randomized Controlled Trial of a Mobile Health Intervention With SMS Text Messaging (Mobile Diabetes Detective). J Med Internet Res. 2026 Jul 13;28:e82305. doi: 10.2196/82305.
PubMed 42442740Heitkemper EM, Mamykina L, Tobin JN, Cassells A, Smaldone A. Baseline Characteristics and Technology Training of Underserved Adults With Type 2 Diabetes in the Mobile Diabetes Detective (MoDD) Randomized Controlled Trial. Diabetes Educ. 2017 Dec;43(6):576-588. doi: 10.1177/0145721717737367. Epub 2017 Oct 23.
PubMed 29059017
Study at a glance
From the registry record, last updated by the sponsor on 2 Mar 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Randomized Clinical Trial of Health Information Technology for Problem Solving in Diabetes Management
- ClinicalTrials.gov ID
- NCT02021591
- Acronym / sponsor ID
- AAAM0057
- Conditions
- Diabetes Mellitus
- Keywords
- Diabetes, Chronic disease, problem solving, self management
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 248 participants (actual)
- Lead sponsor
- Columbia UniversityUniversity, hospital or other
- Collaborators
- Clinical Directors Network, Georgia Institute of Technology, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
- Study start
- 30 Dec 2013 (actual)
- Primary completion
- 3 Feb 2017 (actual)
- Study completion
- 31 Mar 2017 (actual)
- First posted
- 27 Dec 2013 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The main hypothesis of this research is that use of an informatics intervention for problem-solving in diabetes management, Mobile Diabetes Detective (MoDD), by individuals with type 2 diabetes will lead to positive improvements on a number of primary and secondary outcomes related to their health and their management of diabetes. The primary outcomes are a reduction in individuals' glycolated hemoglobin (HbA1c), improvement in their problem-solving abilities, and self-care behaviors. Secondary outcomes include a reduction in individuals' fasting blood glucose (BG); improvement in individuals' self-efficacy, and in emotional aspect of living with diabetes. We hypothesize that primary and secondary outcome effects will be sustained at three months and twelve months. Exploratory outcomes include a decrease in individuals' Cardiovascular Risk (Body Mass Index, Blood Pressure, Total, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) Cholesterol levels, and Framingham Cardiovascular Risk Score). We also hypothesize that improvements in clinical outcomes (HbA1c, fasting BG and Cardiovascular Risk) will be mediated by the improvements in problem-solving abilities and self-efficacy.
Detailed description
Well-developed problem-solving is essential to successful diabetes management results in better diabetes self-care behaviors, and leads to improvements in clinical outcomes. Problem-solving is central to many self-management and behavior change programs; the American Diabetes Association (ADA) includes problem-solving as a critical self-care behavior. Given the importance of problem solving skills, innovative diabetes education programs, such as Discovering Diabetes, have been developed and shown to be effective in fostering independent problem-solving.
At the same time, many care management programs and diabetes education centers struggle with staffing shortages, limited funding, and competitive time demands. As a result, 50 to 80% of individuals with diabetes experience significant knowledge and skill deficits. Health Information Technology (HIT) can make successful interventions available to more diverse populations. At present, however, many HIT interventions target improved patient-clinician communication and logging and monitoring, rather than focusing more specifically on fostering problem-solving skills. Moreover, few HIT interventions have been rigorously evaluated in controlled trials. The main contribution of this research is a theoretically-grounded HIT intervention, Mobile Diabetes Detective (MoDD), that incorporates best practices and current guidelines for supporting and fostering individuals' problem-solving skills in context of diabetes self-management. In our prior work we developed and evaluated a mobile application for reflection and discovery in diabetes management, MAHI (Mobile Access to Health Information). MAHI helped individuals with diabetes capture diabetes-related experiences and reflect on them under a supervision of a diabetes educator. The proposed intervention, MoDD will further extend this prior work, specifically focusing on guided problem-solving through experimentation. The intervention will utilize an open source platform for disease self-management developed by the research team.
If the results are achieved, the project will have significant impact both locally and globally. Locally, diabetes continues to be a major problem in NYC, particularly among disadvantaged populations, many of whom are served by the Health Resources and Services Administration (HRSA) funded Community Health Centers (CHCs) participating in this study. In the past 10 years, the number of people with diabetes in NYC has more than doubled. An estimated 530,000 adult New Yorkers have been diagnosed with diabetes, with another 265,000 having diabetes but are unaware. In the HRSA funded CHCs in New York State, 8% of the adult patients have a diagnosis of diabetes. At the same time, our prior studies showed that despite such barriers as low health literacy or lower socio-economic status, disadvantaged populations in NYC can greatly benefit from informatics interventions that target health and wellness. The proposed research will use HIT to partially assuage the ongoing challenge of control and management of diabetes. The expected improvement in problem-solving skills has been shown to lead to improved self-care behaviors, such as a more careful diet and appropriate level of exercise, and significant reduction in HbA1c7, which in turn has been linked to reduction in diabetes-related complications. Thinking more broadly, this research can provide new insights into facilitating problem-solving in diabetes management with HIT, as an alternative to more traditional staff-intensive interventions.
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Control | No intervention | –Control Arm: Study participants attending one of the 4 control arm centers will receive usual diabetes education provided by staff at the site; be provided with free test strips for their blood glucose meters during the 4-week intervention period; given access to the MODD application at the end of the study. Instructions on how to use the MODD will be provided by site staff. |
| Intervention | Experimental | Behavioral: Mobile Diabetes Detective (MoDD)Intervention: Mobile Diabetes Detective (MoDD) Study participants attending one of the 4 Intervention sites will receive usual diabetes education provided by staff at the site and be given access to the MODD application and instructions for use for 4 weeks at the beginning of the study. After the initial 4 weeks of access to the MODD application, participants will be offered an option to continue using MODD for the duration of the study. |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (5 listed)
- Age 18-65 years
- A diagnosis of Type 2 Diabetes with HbA1c ≥ 8.0. A patient of the health center for at least 6 months
- Has participated in at least one diabetes education session at the participating site in the last 6 months
- Proficient in either English or Spanish
- Must own a basic cell phone
Key exclusion criteria (5 listed)
- Pregnancy
- Presence of serious illness (e.g. cancer diagnosis with active treatment, advanced stage heart failure, multiple sclerosis)
- Presence of cognitive impairment
- Plans for leaving the community health center (CHC) in the next 12 months
- Does not have a computer and/or Internet access
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Mobile Diabetes Detective (MoDD)MoDD is a web-based application that is designed to help individuals with diabetes identify specific problems related to glycemic control, and engage in problem-solving process. MoDD includes a number of messages that explain its users the nature of various problems related to glycemic control, aspects of individuals' behaviors that might have contributed to these problems, and alternative behaviors that could help to improve glycemic control. In addition to these messages displayed on the MoDD website, study participants may receive SMS messages with reminders to test blood glucose, or to follow the selected new behavior. | Behavioural | Intervention |
Primary outcome
Change in HgA1c
Time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months
Glycated hemoglobin is a form of hemoglobin that is measured primarily to identify the average plasma glucose concentration over prolonged periods of time.
Change in Score on the Diabetes Problem-Solving Inventory (DPSI)
Time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months
Diabetes Problem-Solving Inventory (DPSI) is a 9-item questionnaire that assesses individuals' problem-solving skills as applied specifically to overcoming barriers to diabetes self-management.
Change in Score on the Summary of Diabetes Self-Care Activities Questionnaire (SDSCA)
Time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months
Summary of Diabetes Self-Care Activities Questionnaire (SDSCA) contains 12 items with 5 subscales (diet, exercise, blood glucose testing, foot care, smoking status). The respondent is asked how many days in the past week he/she performed the behavior; higher scores indicate higher performance.
8 secondary outcomes
Change in Score on Problem Areas in Diabetes Scale (PAID)
Time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Score on the Diabetes Self-Efficacy Scale (DSES)
Time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Score on the Patient Health Questionnaire-2 (PHQ-2)
Time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Fasting Blood Glucose Level
Time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Total Cholesterol
Time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Blood Pressure
Time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in High-Density Lipoprotein
Time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months
Change in Low-Density Lipoprotein
Time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Mar 2026.
- Background: PubMed 12763713Hill-Briggs F. Problem solving in diabetes self-management: a model of chronic illness self-management behavior. Ann Behav Med. 2003 Summer;25(3):182-93. doi: 10.1207/S15324796ABM2503_04.
- Background: PubMed 10782873Paterson B, Thorne S. Expert decision making in relation to unanticipated blood glucose levels. Res Nurs Health. 2000 Apr;23(2):147-57. doi: 10.1002/(sici)1098-240x(200004)23:23.0.co;2-s.
- Background: PubMed 10026556Bonnet C, Gagnayre R, d'Ivernois JF. Learning difficulties of diabetic patients: a survey of educators. Patient Educ Couns. 1998 Oct;35(2):139-47. doi: 10.1016/s0738-3991(98)00051-2.
- Background: PubMed 12211926Cook S, Aikens JE, Berry CA, McNabb WL. Development of the diabetes problem-solving measure for adolescents. Diabetes Educ. 2001 Nov-Dec;27(6):865-74. doi: 10.1177/014572170102700612.
- Background: PubMed 2767020Glasgow RE, Toobert DJ, Riddle M, Donnelly J, Mitchell DL, Calder D. Diabetes-specific social learning variables and self-care behaviors among persons with type II diabetes. Health Psychol. 1989;8(3):285-303. doi: 10.1037//0278-6133.8.3.285.
- Background: PubMed 2038046Toobert DJ, Glasgow RE. Problem solving and diabetes self-care. J Behav Med. 1991 Feb;14(1):71-86. doi: 10.1007/BF00844769.
- Background: PubMed 19917136Costa BM, Fitzgerald KJ, Jones KM, Dunning Am T. Effectiveness of IT-based diabetes management interventions: a review of the literature. BMC Fam Pract. 2009 Nov 17;10:72. doi: 10.1186/1471-2296-10-72.
- Background: PubMed 12054323Glasgow RE, Funnell MM, Bonomi AE, Davis C, Beckham V, Wagner EH. Self-management aspects of the improving chronic illness care breakthrough series: implementation with diabetes and heart failure teams. Ann Behav Med. 2002 Spring;24(2):80-7. doi: 10.1207/S15324796ABM2402_04.
- Background: PubMed 11988383Whitlock EP, Orleans CT, Pender N, Allan J. Evaluating primary care behavioral counseling interventions: an evidence-based approach. Am J Prev Med. 2002 May;22(4):267-84. doi: 10.1016/s0749-3797(02)00415-4.
- Derived from this study: PubMed 42442740Mamykina L, Smaldone AM, Bakken SR, Cole-Lewis H, Heitkemper EM, Jia H, Kukafka R, Tobin JN, Cassells A, Davidson PG, Mynatt ED, Hripcsak G. Promoting Problem-Solving Among Low-Income Adults With Type 2 Diabetes: Cluster-Randomized Controlled Trial of a Mobile Health Intervention With SMS Text Messaging (Mobile Diabetes Detective). J Med Internet Res. 2026 Jul 13;28:e82305. doi: 10.2196/82305.
- Derived from this study: PubMed 29059017Heitkemper EM, Mamykina L, Tobin JN, Cassells A, Smaldone A. Baseline Characteristics and Technology Training of Underserved Adults With Type 2 Diabetes in the Mobile Diabetes Detective (MoDD) Randomized Controlled Trial. Diabetes Educ. 2017 Dec;43(6):576-588. doi: 10.1177/0145721717737367. Epub 2017 Oct 23.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Olena Mamykina, PhD principal investigator
Columbia University
Jonathan Tobin, PhD study chair
Clinical Directors Network
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Mobile Diabetes Detective (MoDD) in people with Diabetes Mellitus, run by Columbia University at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 2 Mar 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change in HgA1c (time frame: Baseline, post-intervention 4 weeks, 3 months, 12 months). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02021591, which also lists 11 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 2 Mar 2026.