Diabetes Self-Management Models to Reduce Health Disparities
P20-P2
Employing Diabetes Self-Management Models to Reduce Health Disparities in Texas
2 other identifiers
interventional
376
1 country
1
Brief Summary
To evaluate the effectiveness of two different diabetes self-management approaches (Personal Digital Assistant-based intervention \& Chronic Disease Self-Management Program) to reduce health disparities in minority, rural residents, and other underserved populations with type 2 diabetes in Central Texas. We hypothesise that: 1) Racial/ethnic minority patients with T2DM will be found to experience disparities in diabetes self-management treatment protocols and clinical outcomes, which persist even when controlling for age, gender, obesity, and insurance status; 2) Patients with T2DM who reside in more rural areas will be found to experience disparities in diabetes self-management treatment protocols and clinical outcomes as compared to more urban counterparts, controlling for age, gender, race/ethnicity, obesity, and insurance status; 3) The introduction of CSDMP and HIT protocols will improve diabetes-related self management behaviors, reduce HBA1c values, and increase quality of life in persons with T2DM as compared to controls. A combined intervention approach will result in the greatest reductions; 4) Health improvements following the introduction of CDSMP, HIT or CDSMP/HIT protocols in persons with T2DM compared to controls will be more marked in racial/ethnic minority patients and those patients residing in rural areas; 5) The introduction of self-management interventions will be cost-effective in reducing HbA1c values over time, and associated health care utilization including overall reduction in ER and acute care hospital admissions; 6) Although there is little prior research in this area to guide specific hypotheses, we hypothesize that, overall, there will be no significant cost-effective differential in CDSMP as compared to HIT approaches, although the cost-effective ratio may be stronger in particular subpopulations. The combined approach will have higher costs, but is also anticipated to have a higher cost-benefit ratio for minority populations; 7) The majority of clinicians will be willing to let their patients enroll in the study and will reinforce intervention protocols; and 8) These interventions can be embedded into existing health care structures. At the end of the study, Scott and White will institutionalize cost-effective treatment protocols.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for phase_4 type-2-diabetes
Started Jan 2009
Typical duration for phase_4 type-2-diabetes
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2009
CompletedFirst Submitted
Initial submission to the registry
October 13, 2010
CompletedFirst Posted
Study publicly available on registry
October 14, 2010
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2012
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2012
CompletedResults Posted
Study results publicly available
October 14, 2013
CompletedOctober 14, 2013
August 1, 2013
3.3 years
October 13, 2010
June 3, 2013
August 7, 2013
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
HbA1c
Measures of HbA1c were collected from electronic health records dating back six months prior to orientation to the last day of study participation (45 days after the 12-month follow-up period). If a participant did not have any HbA1c value within the electronic health record for any particular follow-up visit, a lab test was scheduled to obtain a measure. Of the HbA1c collected six months prior to orientation, the value measured closest to the orientation date was considered as the baseline HbA1c value. HbA1c values that were measured on dates preceding the baseline HbA1c were not included; i.e., HbA1c values included in the analysis were those collected since the baseline HbA1c and until the last day of study participation.
12 months
Secondary Outcomes (4)
BMI
12 months
Patient Self-reported Perceived Health Status
12 months
Diabetes-related Behaviors
12 months
Quality of Life (QOL)
12 months
Study Arms (4)
Personal Digital Assistant
EXPERIMENTALIndividuals in this arm were taught to use a diabetes self-care software, Diabetes Pilot™ (Digital Altitudes, Arlington Heights, IL), developed for PalmOS® (Palm, Sunnyvale, CA) which was loaded on to compatible PDAs, the Tungsten™ E2 handheld device. The Diabetes Pilot allowed participants to monitor their blood glucose, blood pressure, medication usage, physical activity, and dietary intake by tracking these measures in an electronic diary.
CDSMP
ACTIVE COMPARATOR6-week, classroom-based program for diabetes self-management. The CDSMP, developed by Stanford University, equipped participants with the education and skill sets needed to take a more proactive approach in managing their chronic condition(s) and related symptoms.
PDA/CDSMP
ACTIVE COMPARATORCombined intervention
Control
NO INTERVENTIONUsual Care
Interventions
Eligibility Criteria
You may qualify if:
- Patients with T2DM, including those who require insulin therapy, aged \>18 years (eliminates the need to obtain assent for minors who are also dependent on their parents).
- Last measured HbA1c value of \> 7.5% (this study hopes to show an improvement in the control of patient's diabetes, and not focused on patients who already show evidence of good disease control).
- Willingness and ability to attend one initial research visit and semi-annual routine follow-up visits over a 24-month period. The follow-up visits include height, weight, and blood pressure measurement and a survey. Surveys may be conducted by phone interview or mail when a follow-up visit can not be scheduled.
- Ability to read, write, and speak English at least at a grade 8 level so as to be able to engage in self-monitoring and use the commercial diabetes management software program (Diabetes Pilot), which is available only in English. For those with lower-literacy, assistance in filling out forms and understanding required intervention protocols will be provided, and use of a "buddy" will be recommended.
You may not qualify if:
- Not willing to sign an informed consent or be randomized to any of the four treatment/control groups, (we want to minimize any upfront treatment biases, while adhering to human subject protocols).
- Currently, documented severe alcoholism or drug abuse that is \< 6 months ago (concerns that this problem is likely to significantly affect their ability and likelihood to comply with the study requirements over the course of the 24 months).
- Female patients who are pregnant or planning to become pregnant within 12 months (in pregnancy, type 2 diabetes is managed in a completely different manner than in non-pregnant patients).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Scott and White Hospital & Cliniclead
- Texas A&M Universitycollaborator
Study Sites (1)
Scott & White Clinic
Temple, Texas, 76504, United States
Related Publications (7)
Vuong AM, Huber JC Jr, Bolin JN, Ory MG, Moudouni DM, Helduser J, Begaye D, Bonner TJ, Forjuoh SN. Factors affecting acceptability and usability of technological approaches to diabetes self-management: a case study. Diabetes Technol Ther. 2012 Dec;14(12):1178-82. doi: 10.1089/dia.2012.0139. Epub 2012 Sep 26.
PMID: 23013155BACKGROUNDAppiah B, Hong Y, Ory MG, Helduser JW, Begaye D, Bolin JN, Forjuoh SN. Challenges and opportunities for implementing diabetes self-management guidelines. J Am Board Fam Med. 2013 Jan-Feb;26(1):90-2. doi: 10.3122/jabfm.2013.01.120177.
PMID: 23288286BACKGROUNDForjuoh SN, Huber C, Bolin JN, Patil SP, Gupta M, Helduser JW, Holleman S, Ory MG. Provision of counseling on diabetes self-management: are there any age disparities? Patient Educ Couns. 2011 Nov;85(2):133-9. doi: 10.1016/j.pec.2010.08.004. Epub 2010 Sep 21.
PMID: 20863646RESULTForjuoh SN, Bolin JN, Gupta M, Huber C, Helduser JW, Holleman S, Robertson A, Ory MG. Disparities in diabetes management by race or ethnicity in a primary care clinic in central Texas. Tex Med. 2010 Nov 1;106(11):e1.
PMID: 21104573RESULTAdepoju OE, Bolin JN, Phillips CD, Zhao H, Ohsfeldt RL, McMaughan DK, Helduser JW, Forjuoh SN. Effects of diabetes self-management programs on time-to-hospitalization among patients with type 2 diabetes: a survival analysis model. Patient Educ Couns. 2014 Apr;95(1):111-7. doi: 10.1016/j.pec.2014.01.001. Epub 2014 Jan 13.
PMID: 24468198DERIVEDForjuoh SN, Bolin JN, Huber JC Jr, Vuong AM, Adepoju OE, Helduser JW, Begaye DS, Robertson A, Moudouni DM, Bonner TJ, McLeroy KR, Ory MG. Behavioral and technological interventions targeting glycemic control in a racially/ethnically diverse population: a randomized controlled trial. BMC Public Health. 2014 Jan 23;14:71. doi: 10.1186/1471-2458-14-71.
PMID: 24450992DERIVEDAdepoju OE, Bolin JN, Ohsfeldt RL, Phillips CD, Zhao H, Ory MG, Forjuoh SN. Can chronic disease management programs for patients with type 2 diabetes reduce productivity-related indirect costs of the disease? Evidence from a randomized controlled trial. Popul Health Manag. 2014 Apr;17(2):112-20. doi: 10.1089/pop.2013.0029. Epub 2013 Oct 23.
PMID: 24152055DERIVED
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Limitations and Caveats
Differential dropout across interventions. Failure to obtain 50% minority and 50% non-minority participants, preventing further analyses regarding race/ethnicity differences in outcome. Could only provide information in an exploratory manner.
Results Point of Contact
- Title
- Dr. Samuel N. Forjuoh
- Organization
- Scott & White Hospital
Study Officials
- PRINCIPAL INVESTIGATOR
Samuel N Forjuoh, MD MPH DrPH
Scott & White
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- phase 4
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor & Director of Research
Study Record Dates
First Submitted
October 13, 2010
First Posted
October 14, 2010
Study Start
January 1, 2009
Primary Completion
May 1, 2012
Study Completion
May 1, 2012
Last Updated
October 14, 2013
Results First Posted
October 14, 2013
Record last verified: 2013-08