Effectiveness of Home-Based Health Messaging for Patients With Hypertension and Diabetes
NCT ID: NCT00119054
Last Updated: 2015-04-07
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
302 participants
INTERVENTIONAL
2005-09-30
2007-12-31
Brief Summary
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Home telehealth is a general term used to describe the delivery of health care services to the patient's home using audio, video, or other telecommunications technologies. Although home telehealth offers a number of theoretical advantages, few well-designed controlled clinical trials have been conducted to establish efficacy and cost benefit. Furthermore, projects to date have focused on special populations, e.g., heart failure or mental illnesses. Since home telehealth may hold the most promise for individuals dealing with multiple chronic illnesses, there is a need for population-based studies addressing the needs of patients in primary care settings.
Care coordination, as defined by the VHA Office of Care Coordination, is a process of assessment and ongoing monitoring of patients using home telehealth to proactively enable prevention, investigation, and treatment that enhances the health of patients and prevents unnecessary and inappropriate use of resources. Care coordination embeds technology into a care management process. This results in the right care, at the right time, in the right place.
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Detailed Description
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Home telehealth is a general term used to describe the delivery of health care services to the patient's home using audio, video, or other telecommunications technologies. Although home telehealth offers a number of theoretical advantages, few well-designed controlled clinical trials have been conducted to establish efficacy and cost benefit. Furthermore, projects to date have focused on special populations, e.g., heart failure or mental illnesses. Since home telehealth may hold the most promise for individuals dealing with multiple chronic illnesses, there is a need for population-based studies addressing the needs of patients in primary care settings.
Care coordination, as defined by the VHA Office of Care Coordination, is a process of assessment and ongoing monitoring of patients using home telehealth to proactively enable prevention, investigation, and treatment that enhances the health of patients and prevents unnecessary and inappropriate use of resources. Care coordination embeds technology into a care management process. This results in the right care, at the right time, in the right place.The primary objective of the proposed study is to evaluate the efficacy of care coordination in improving outcomes in veterans with co-morbid DM and HTN, the two most common chronic conditions seen in VA Primary Care clinics. The specific aim is to compare outcomes of patients who receive the care coordination intervention to outcomes of patients who receive usual care. Three hypotheses will be tested: Compared to subjects who receive usual care, subjects who receive the care coordination intervention will have: 1) improved clinical measures \[hemoglobin A1c (HbA1c) and systolic blood pressure (SBP)\] at 6 and 12 months after study enrollment; 2) improved disease self-management (knowledge, self-efficacy, and adherence) at 6 and 12 months after study enrollment; and 3) improved quality of life and satisfaction with care at 6 and 12 months after study enrollment.Subjects wererecruited from VA Primary Care clinic rolls. 302 subjects were randomized to three groups: low-intensity monitoring plus nurse care management intervention (n=102); high-intensity monitoring plus nurse care management intervention (n=93); and usual care (n=107). In both intervention groups patients transmitted vital signs daily. In addition, the low intensity group answered two general health questions; the high intensity group responded to a complete range of questions focused on diabetes and hypertension, and received educational tips. The intervention groups participated in the protocol for 6 months following enrollment. Data were collected at baseline and at 6 and 12 months, including measures of clinical outcomes, quality of life, knowledge, adherence, self-efficacy, and satisfaction with care. In addition to these measures, data were collected to estimate the cost of the home telehealth intervention. Most subjects were male (98%) Caucasians (96%) with a mean age of 68 years (range 40-89 years).
Conditions
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Study Design
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RANDOMIZED
SINGLE_GROUP
NONE
Study Groups
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Arm 1
In Home Health Messaging Device
Interventions
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In Home Health Messaging Device
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
ALL
No
Sponsors
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US Department of Veterans Affairs
FED
Responsible Party
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Principal Investigators
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Bonnie J. Wakefield, PhD RN
Role: PRINCIPAL_INVESTIGATOR
Iowa City VA Health Care System, Iowa City, IA
Locations
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Iowa City VA Health Care System, Iowa City, IA
Iowa City, Iowa, United States
Countries
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References
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Wakefield BJ, Holman JE, Ray A, Scherubel M, Adams MR, Hills SL, Rosenthal GE. Outcomes of a home telehealth intervention for patients with diabetes and hypertension. Telemed J E Health. 2012 Oct;18(8):575-9. doi: 10.1089/tmj.2011.0237. Epub 2012 Aug 8.
Wakefield BJ, Holman JE, Ray A, Scherubel M, Adams MR, Hillis SL, Rosenthal GE. Effectiveness of home telehealth in comorbid diabetes and hypertension: a randomized, controlled trial. Telemed J E Health. 2011 May;17(4):254-61. doi: 10.1089/tmj.2010.0176. Epub 2011 Apr 10.
Wakefield BJ, Holman JE, Ray A, Scherubel M. Patient perceptions of a remote monitoring intervention for chronic disease management. J Gerontol Nurs. 2011 Apr;37(4):16-20. doi: 10.3928/00989134-20110302-05. Epub 2011 Mar 16.
Young LB, Foster L, Silander A, Wakefield BJ. Home telehealth: patient satisfaction, program functions, and challenges for the care coordinator. J Gerontol Nurs. 2011 Nov;37(11):38-46. doi: 10.3928/00989134-20110706-02. Epub 2011 Jul 15.
Wakefield BJ, Scherubel M, Ray A, Holman JE. Nursing interventions in a telemonitoring program. Telemed J E Health. 2013 Mar;19(3):160-5. doi: 10.1089/tmj.2012.0098. Epub 2013 Jan 28.
Gardner SE, Hillis SL, Frantz RA. Clinical signs of infection in diabetic foot ulcers with high microbial load. Biol Res Nurs. 2009 Oct;11(2):119-28. doi: 10.1177/1099800408326169.
Boren SA, Wakefield BJ, Dohrmann M. Chronic heart failure consumer information: an exploratory study. AMIA Annu Symp Proc. 2008 Nov 6:884.
Wakefield BJ, Mentes J, Holman JE, Culp K. Postadmission dehydration: risk factors, indicators, and outcomes. Rehabil Nurs. 2009 Sep-Oct;34(5):209-16. doi: 10.1002/j.2048-7940.2009.tb00281.x.
Rantz MJ, Skubic M, Alexander G, Popescu M, Aud MA, Wakefield BJ, Koopman RJ, Miller SJ. Developing a comprehensive electronic health record to enhance nursing care coordination, use of technology, and research. J Gerontol Nurs. 2010 Jan;36(1):13-7. doi: 10.3928/00989134-20091204-02. Epub 2010 Jan 12.
Other Identifiers
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NRI 03-312
Identifier Type: -
Identifier Source: org_study_id
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