Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS)

Hypertension Clinical Trial

— STRENGTHS  

Official title:

Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS)

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT03543787
• Other study ID #: 1U01HL138636-01
• Status: Active, not recruiting
• Phase: Phase 3
• Start date: January 17, 2020
• Est. completion date: May 31, 2023

Study information

• Verified date: March 2023
• Source: Moi University
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

"STRENGTHS" is a transdisciplinary implementation research study, guided by the PRECEDE-PROCEED framework, to address the challenge of improving hypertension control in low-resource settings. The investigators propose to test the hypothesis that referral networks strengthened by an integrated health information technology and peer support intervention will be effective and cost-effective in improving hypertension control among patients in western Kenya. The investigators hypothesise that the integrated Health information Technology and Peer Support intervention will facilitate seamless referral of hypertensive patients across the different levels of the health system compared to usual care, leading to improvement in blood pressure. If proven to be successful, STRENGTHS can serve as a model for improving referral of patients upstream and downstream in health systems worldwide.

Description:

Hypertension is a major risk factor for cardiovascular disease, and 80% of global mortality due to cardiovascular diseases occurs in low- and middle-income countries. In low income countries, lack of coordination between different levels of the health system threatens the ability to provide the care necessary to control hypertension and prevent cardiovascular disease related morbidity. Strong referral networks have improved health outcomes for chronic disease in a variety of settings. Health information technology and peer-based support are two strategies that have improved care coordination and clinical outcomes. However, their effectiveness in strengthening referral networks to improve blood pressure control and reduce cardiovascular disease risk in low-resource settings is unknown.

The Academic Model Providing Access to Healthcare (AMPATH) partners with the Kenya Ministry of Health to provide care for non-communicable chronic diseases (NCDs), including hypertension at all levels of the health system. The Kenya Ministry of Health Sector Referral Strategy 2014-2018 calls for improving the referral system at every level of the health system. AMPATH has piloted both health information technology and peer support for NCDs, and both strategies are feasible in this setting. However, the impact of integrating Health information technology and peer support to strengthen referral networks for hypertension control is unknown.

The proposal's objective is to utilise the PRECEDE-PROCEED framework to conduct trans-disciplinary, translational implementation research focused on strengthening referral networks for hypertension control. The central hypothesis is "Health Information Technology integrated with peer support will be effective and cost-effective in strengthening referral networks, improving blood pressure control, and reducing cardiovascular risk among hypertensive patients in western Kenya." The investigators hypothesise that Health information technology(HIT) and peer support(PS) will synergistically address barriers to hypertension control at the patient, provider and health system levels. The investigators further hypothesise that changes in referral network characteristics may mediate the impact of the intervention on the primary outcome, and that baseline referral net-work characteristics may moderate the impact of the intervention. To test these hypotheses and achieve the overall objective, STRENGTHS has the following specific aims:

Aim 1: Conduct a baseline needs and contextual assessment for implementing and integrating HIT and PS to strengthen referral networks for hypertension control, using a mixed-methods approach, including: observational process mapping and gap assessment; baseline referral network analysis; and qualitative methods to identify facilitators, barriers, contextual factors, and readiness for change.

Sub-Aim 1.1: Use data from the aim 1 to develop a contextually and culturally appropriate intervention to strengthen referral networks for hypertension control using a participatory, iterative design process. Conduct pilot acceptability and feasibility testing of the intervention.

Aim 2: Evaluate the effectiveness of HIT and PS for hypertension control by conducting a two-arm cluster randomized trial comparing: 1) usual care vs. 2) referral networks strengthened with an integrated HIT-PS intervention. The primary outcome will be one-year change in systolic blood pressure and a key secondary outcome will be cardiovascular risk reduction.

Sub-Aim 2.1: Conduct mediation analysis to evaluate the influence of changes in referral network characteristics on intervention outcomes, and a moderation analysis to evaluate the influence of baseline referral net-work characteristics on the effectiveness of the intervention.

Sub-Aim 2.2: Conduct a process evaluation using the Saunders framework, evaluating key implementation measures related to fidelity, dose delivered, dose received, recruitment, reach, and context.

Aim 3: Evaluate the incremental cost-effectiveness of the intervention, in terms of costs per unit decrease in SBP, per percent change in CVD risk score, and per disability-adjusted life year (DALY) saved.

This research project will add to the existing knowledge base on innovative and scalable strategies for strengthening referral networks to improve control of NCDs in lower-MICs. If proven to be effective, it has the potential to be a scalable model for other low-resource settings globally.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 1600
• Est. completion date: May 31, 2023
• Est. primary completion date: May 31, 2023
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• >= 18 yrs

• Enrolled in AMPATH CDM Program

• meet criteria for referral up or down the network

• Patients with complicated hypertension meet criteria for referral up the network, defined as patients with hypertension who remain uncontrolled (SBP >= 140 or DBP >= 90) on 3 or more anti-hypertensive medications, who have signs or symptoms of end-organ damage, or who have suspected secondary causes of hypertension (age <35 years, HIV, or pregnancy)

• Patients with stable, uncomplicated hypertension meet criteria for referral down the network, defined as controlled BP (SBP < 140 and DBP < 90) for 3 or more consecutive visits and no evidence of new end-organ damage

Exclusion Criteria:

• acute illness requiring immediate medical attention

• terminal illness

• inability to provide informed consent

Related Conditions & MeSH terms

• Hypertension

Intervention

Combination Product:
• Health IT and Peer Support Intervention
Health IT will support referral system by establishing 1) communication between healthcare providers and peer navigators 2) decision support for clinician to facilitate appropriate referrals 3) tracking of referred patients real-time 4) dashboards to monitor key evaluation metrics. Peer Support intervention: peer navigators at each level of the referral network will ensure 1) referral adherence by link clinicians and patients 2) health system navigation 3) psychosocial support: leverage their shared disease experience to help patients overcome barriers to health seeking behaviour.

Locations

Country	Name	City	State
Kenya	Constantine Akwanalo	Eldoret

Sponsors (6)

Lead Sponsor	Collaborator
Moi University	Duke University, Icahn School of Medicine at Mount Sinai, Indiana University, Purdue University, University of Texas at Austin

Country where clinical trial is conducted

Kenya, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Other	Referral network characteristics	To assess the referral densities within the healthcare system.	1 year
Other	Referral proces characteristics	To assess referral completion rates within the healthcare system	1 year
Primary	Change in one year systolic blood pressure as measured in clinic	The systolic blood pressure at baseline will be compared to systolic blood after 1 year of follow up. Blood pressure measurements will be averaged from three successive readings taken every 5 minutes in clinic	1 year
Secondary	Change in one year overall Cardiovascular disease (CVD) QRISK2 score	QRISK2 score is a computerised algorithm for predicting the ten-year risk of developing CVD events. The factors that enter into the calculation of the QRISK2 score include: Age 25-84 years, sex, ethnicity, smoking status, diabetes status, family history of coronary artery disease in first degree relatives below the age of 65 years, chronic kidney disease stages 4 and 5, atrial fibrillation, rheumatoid arthritis, cholesterol / high density lipoprotein ratio, systolic blood pressure, body mass index. A score of 10% or more suggest a 10% risk of primary CVD events in ten years and warrants intervention to reduce the risk. It's not used among patients who already have a heart attack or a stroke.	1 year
Secondary	Mortality	Death at the end of the study	1 year follow up
Secondary	Hospitalisation	Number of self-reported hospital admissions for hypertensive crises or heart failure among participants over one year follow up.	1 year of follow up
Secondary	Cardiovascular disease complications	Any cardiovascular complications including Heart failure, Stroke and Acute myocardial infarction	1 year follow up
Secondary	Change in number of CVD risk factors and behaviors as assessed using a standardised screening questionnaire	Baseline risk factor profile compared to profile at 1 year of the various CVD risk factors as assessed using a standardised CVD risk factors and behaviours screening questionnaire	1 year
Secondary	Self reported adherence to hypertension medication as assessed using the Morisky Medication adherence questionnaire	To assess changes in adherence to hypertension medications at one year from baseline as determined using the Morisky medication adherence questionnaire	1 year