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

Primary Purpose

Hypertension

Status
Active
Phase
Phase 3
Locations
Kenya
Study Type
Interventional
Intervention
Health IT and Peer Support Intervention
Sponsored by
Moi University
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Hypertension focused on measuring Referral networks, low and middle income countries, PRECEDE-PROCEED, implementation research, hypertension, cardiovascular disease, process evaluation

Eligibility Criteria

18 Years - undefined (Adult, Older Adult)All SexesDoes not accept healthy volunteers

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

Sites / Locations

  • Constantine Akwanalo

Arms of the Study

Arm 1

Arm 2

Arm Type

Active Comparator

No Intervention

Arm Label

Health IT and Peer Support Intervention

Non intervention group

Arm Description

Utilise electronic decision support, tracking of referral list and Peer facilitation for referral completion

2014 - 2018 MoH referral protocol

Outcomes

Primary Outcome Measures

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

Secondary Outcome Measures

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.
Mortality
Death at the end of the study
Hospitalisation
Number of self-reported hospital admissions for hypertensive crises or heart failure among participants over one year follow up.
Cardiovascular disease complications
Any cardiovascular complications including Heart failure, Stroke and Acute myocardial infarction
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
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

Full Information

First Posted
December 19, 2017
Last Updated
March 15, 2023
Sponsor
Moi University
Collaborators
Indiana University, Duke University, Icahn School of Medicine at Mount Sinai, Purdue University, University of Texas at Austin
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1. Study Identification

Unique Protocol Identification Number
NCT03543787
Brief Title
Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS)
Acronym
STRENGTHS
Official Title
Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS)
Study Type
Interventional

2. Study Status

Record Verification Date
March 2023
Overall Recruitment Status
Active, not recruiting
Study Start Date
January 17, 2020 (Actual)
Primary Completion Date
May 31, 2023 (Anticipated)
Study Completion Date
May 31, 2023 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Moi University
Collaborators
Indiana University, Duke University, Icahn School of Medicine at Mount Sinai, Purdue University, University of Texas at Austin

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes

5. Study Description

Brief 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.
Detailed 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.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Hypertension
Keywords
Referral networks, low and middle income countries, PRECEDE-PROCEED, implementation research, hypertension, cardiovascular disease, process evaluation

7. Study Design

Primary Purpose
Treatment
Study Phase
Phase 3
Interventional Study Model
Parallel Assignment
Model Description
PRECEDE-PROCEED implementation research framework; 2-arm cluster randomized controlled trial
Masking
None (Open Label)
Allocation
Randomized
Enrollment
1600 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Health IT and Peer Support Intervention
Arm Type
Active Comparator
Arm Description
Utilise electronic decision support, tracking of referral list and Peer facilitation for referral completion
Arm Title
Non intervention group
Arm Type
No Intervention
Arm Description
2014 - 2018 MoH referral protocol
Intervention Type
Combination Product
Intervention Name(s)
Health IT and Peer Support Intervention
Intervention Description
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.
Primary Outcome Measure Information:
Title
Change in one year systolic blood pressure as measured in clinic
Description
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
Time Frame
1 year
Secondary Outcome Measure Information:
Title
Change in one year overall Cardiovascular disease (CVD) QRISK2 score
Description
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.
Time Frame
1 year
Title
Mortality
Description
Death at the end of the study
Time Frame
1 year follow up
Title
Hospitalisation
Description
Number of self-reported hospital admissions for hypertensive crises or heart failure among participants over one year follow up.
Time Frame
1 year of follow up
Title
Cardiovascular disease complications
Description
Any cardiovascular complications including Heart failure, Stroke and Acute myocardial infarction
Time Frame
1 year follow up
Title
Change in number of CVD risk factors and behaviors as assessed using a standardised screening questionnaire
Description
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
Time Frame
1 year
Title
Self reported adherence to hypertension medication as assessed using the Morisky Medication adherence questionnaire
Description
To assess changes in adherence to hypertension medications at one year from baseline as determined using the Morisky medication adherence questionnaire
Time Frame
1 year
Other Pre-specified Outcome Measures:
Title
Referral network characteristics
Description
To assess the referral densities within the healthcare system.
Time Frame
1 year
Title
Referral proces characteristics
Description
To assess referral completion rates within the healthcare system
Time Frame
1 year

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
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
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Constantine O Akwanalo
Organizational Affiliation
Moi University
Official's Role
Principal Investigator
Facility Information:
Facility Name
Constantine Akwanalo
City
Eldoret
Country
Kenya

12. IPD Sharing Statement

Plan to Share IPD
Undecided
IPD Sharing Plan Description
After data cleaning and primary analyses, the de-identified data will be available to the scientific community upon formal request made to the AMPATH Research Manager. The data collection instruments will also be available upon request to the AMPATH Research Manager.
Citations:
PubMed Identifier
35255913
Citation
Thakkar A, Valente T, Andesia J, Njuguna B, Miheso J, Mercer T, Mugo R, Mwangi A, Mwangi E, Pastakia SD, Pathak S, Pillsbury MKM, Kamano J, Naanyu V, Williams M, Vedanthan R, Akwanalo C, Bloomfield GS. Network characteristics of a referral system for patients with hypertension in Western Kenya: results from the Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS) study. BMC Health Serv Res. 2022 Mar 7;22(1):315. doi: 10.1186/s12913-022-07699-8.
Results Reference
derived
PubMed Identifier
31500661
Citation
Mercer T, Njuguna B, Bloomfield GS, Dick J, Finkelstein E, Kamano J, Mwangi A, Naanyu V, Pastakia SD, Valente TW, Vedanthan R, Akwanalo C. Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS) in western Kenya: a study protocol of a cluster randomized trial. Trials. 2019 Sep 9;20(1):554. doi: 10.1186/s13063-019-3661-4.
Results Reference
derived

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

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