- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05479097
Feasibility Study of a Novel mHealth Application to Enable Community Health Workers to Manage
A Feasibility Study of a Novel mHealth Clinical Decision Support Application to Enable Community Health Workers to Manage Hypertension With Remote Physician Supervision
Study Overview
Detailed Description
An estimated 1.13 billion people worldwide are currently living with hypertension, the leading preventable cause of death and disability. Two thirds of these patients live in low- and middle-income countries (LMIC). Treatment of hypertension has been found to be cost-effective in reducing morbidity and mortality across a broad range of settings. Despite this, less than 10% of patients with hypertension in LMIC have good control of their blood pressure. Health systems in LMIC, which are often focused on providing episodic care for acute illnesses and suffer from inadequate and poorly distributed health care infrastructure and workforce, are ill-equipped to address the rise in chronic non-communicable diseases (NCDs) such as hypertension. Governments and NGOs are increasingly turning to community health workers (CHWs) - lay people trained to carry out a variety of tasks and who often are from or have a close connection to the communities they serve - to help fill care gaps for hypertension and other NCDs in LMIC. In most cases, CHWs have played supportive (e.g. providing patient education) rather than direct care roles. While such programs have led to improved chronic disease outcomes, they still rely on clinic-based physicians, mid-level providers or nurses to directly provide medical management, and therefore do not address the essential problem of inadequate primary care infrastructure and workforce, particularly in rural areas. Overcoming this problem is key to reducing the growing burden of untreated hypertension in LMIC.
To solve this problem, the investigators are developing an innovative mobile application to assist CHWs in the treatment of hypertension in adults with remote physician supervision. This application is built on the widely-used CommCare platform and will provide clinical decision support (CDS) to CHWs based on protocols from the WHO and the International Society of Hypertension for antihypertensive medication initiation and titration, lifestyle counseling, and identification of patients requiring a higher level of care. The investigators will develop and test this approach in a rural area of Guatemala with poor primary care infrastructure and where the team has worked extensively in the past and has an ongoing collaboration with a local NGO, the San Lucas Mission, and affiliated CHWs. Through this collaboration, the investigators have developed and implemented a CHW-led rural diabetes program enabled by a CDS mobile application and have demonstrated that CHWs can safely and effectively manage diabetes using the application. The hypothesis is that the investigators will be able to adapt the model to hypertension management and are evaluating the feasibility of this approach with this pilot study.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
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Sololá
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San Lucas Tolimán, Sololá, Guatemala, 07013
- San Lucas Mission
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Greater than 18 years old
- Diagnosed with hypertension
- Blood pressure greater than or equal to 140/90 mm Hg OR
- currently taking antihypertensive medication
Exclusion Criteria:
- Pregnancy
- Severe comorbid condition(s) with life expectancy less than 1 year
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Non-Randomized
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Systolic Blood Pressure
Time Frame: baseline, 6 months
|
Difference in systolic blood pressure from baseline to 6 months
|
baseline, 6 months
|
|
Difference in Diastolic Blood Pressure From Baseline to 6 Months
Time Frame: baseline, 6 months
|
Difference in diastolic blood pressure from baseline to 6 months
|
baseline, 6 months
|
|
Change in the Proportion of Patients With Systolic Blood Pressure Less Than or Equal to 140
Time Frame: baseline, 6 months
|
Difference in the proportion of patients with systolic blood pressure less than or equal to 140 from baseline to 6 months
|
baseline, 6 months
|
|
Change in the Proportion of Patients With Systolic Blood Pressure Less Than or Equal to Personalized Goal
Time Frame: baseline, 6 months
|
Difference in the proportion of patients with systolic blood pressure less than or equal to personalized goal from baseline to 6 months
|
baseline, 6 months
|
|
Proportion of Visits for Which Both the CHW Conducting the Visit and the Physician Reviewing Post-visit Data Agreed With the Antihypertensive Recommendations Provided by the CDS Application
Time Frame: 6 months
|
This measure will be calculated as the proportion of visits for which both the CHW conducting the visit and the physician reviewing post-visit data agreed with the antihypertensive recommendations provided by the application.
|
6 months
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Sean Duffy, MD, University of Wisconsin-Madison Department of Family Medicine and Community Health
Publications and helpful links
General Publications
- Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, Chen J, He J. Global Disparities of Hypertension Prevalence and Control: A Systematic Analysis of Population-Based Studies From 90 Countries. Circulation. 2016 Aug 9;134(6):441-50. doi: 10.1161/CIRCULATIONAHA.115.018912.
- Kim K, Choi JS, Choi E, Nieman CL, Joo JH, Lin FR, Gitlin LN, Han HR. Effects of Community-Based Health Worker Interventions to Improve Chronic Disease Management and Care Among Vulnerable Populations: A Systematic Review. Am J Public Health. 2016 Apr;106(4):e3-e28. doi: 10.2105/AJPH.2015.302987. Epub 2016 Feb 18.
- Unger T, Borghi C, Charchar F, Khan NA, Poulter NR, Prabhakaran D, Ramirez A, Schlaich M, Stergiou GS, Tomaszewski M, Wainford RD, Williams B, Schutte AE. 2020 International Society of Hypertension Global Hypertension Practice Guidelines. Hypertension. 2020 Jun;75(6):1334-1357. doi: 10.1161/HYPERTENSIONAHA.120.15026. Epub 2020 May 6. No abstract available.
- Zhang D, Wang G, Joo H. A Systematic Review of Economic Evidence on Community Hypertension Interventions. Am J Prev Med. 2017 Dec;53(6S2):S121-S130. doi: 10.1016/j.amepre.2017.05.008.
- Hunter DJ, Reddy KS. Noncommunicable diseases. N Engl J Med. 2013 Oct 3;369(14):1336-43. doi: 10.1056/NEJMra1109345. No abstract available.
- Checkley W, Ghannem H, Irazola V, Kimaiyo S, Levitt NS, Miranda JJ, Niessen L, Prabhakaran D, Rabadan-Diehl C, Ramirez-Zea M, Rubinstein A, Sigamani A, Smith R, Tandon N, Wu Y, Xavier D, Yan LL; GRAND South Network, UnitedHealth Group/National Heart, Lung, and Blood Institute Centers of Excellence. Management of NCD in low- and middle-income countries. Glob Heart. 2014 Dec;9(4):431-43. doi: 10.1016/j.gheart.2014.11.003.
- Vedanthan R, Bernabe-Ortiz A, Herasme OI, Joshi R, Lopez-Jaramillo P, Thrift AG, Webster J, Webster R, Yeates K, Gyamfi J, Ieremia M, Johnson C, Kamano JH, Lazo-Porras M, Limbani F, Liu P, McCready T, Miranda JJ, Mohan S, Ogedegbe O, Oldenburg B, Ovbiagele B, Owolabi M, Peiris D, Ponce-Lucero V, Praveen D, Pillay A, Schwalm JD, Tobe SW, Trieu K, Yusoff K, Fuster V. Innovative Approaches to Hypertension Control in Low- and Middle-Income Countries. Cardiol Clin. 2017 Feb;35(1):99-115. doi: 10.1016/j.ccl.2016.08.010.
- Mishra SR, Neupane D, Preen D, Kallestrup P, Perry HB. Mitigation of non-communicable diseases in developing countries with community health workers. Global Health. 2015 Nov 10;11:43. doi: 10.1186/s12992-015-0129-5.
- Khetan AK, Purushothaman R, Chami T, Hejjaji V, Madan Mohan SK, Josephson RA, Webel AR. The Effectiveness of Community Health Workers for CVD Prevention in LMIC. Glob Heart. 2017 Sep;12(3):233-243.e6. doi: 10.1016/j.gheart.2016.07.001. Epub 2016 Dec 16.
- Svoronos T, Mjungu P, Dhadialla R, Luk R, Zue C, Jackson J, et al. CommCare: Automated quality improvement to strengthen community-based health. Weston: D-Tree International 2010
- Duffy S, Svenson J, Chavez A, Kelly M, Wise P. Empowering Community Health Workers With Mobile Technology to Treat Diabetes. Ann Fam Med. 2019 Mar;17(2):176. doi: 10.1370/afm.2361. No abstract available.
- Duffy S, Norton D, Kelly M, Chavez A, Tun R, Ramirez MNG, Chen G, Wise P, Svenson J. Using Community Health Workers and a Smartphone Application to Improve Diabetes Control in Rural Guatemala. Glob Health Sci Pract. 2020 Dec 23;8(4):699-720. doi: 10.9745/GHSP-D-20-00076. Print 2020 Dec 23.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2022-0794
- A532050 (Other Identifier: UW Madison)
- Approval Date 7/2/2022 (Other Identifier: UW Madison)
- 1R21TW011891-01 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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