Cargando…

Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS) in western Kenya: a study protocol of a cluster randomized trial

BACKGROUND: Hypertension is a major risk factor for cardiovascular disease (CVD), yet treatment and control rates for hypertension are very low in low- and middle-income countries (LMICs). Lack of effective referral networks between different levels of the health system is one factor that threatens...

Descripción completa

Detalles Bibliográficos
Autores principales: Mercer, Tim, Njuguna, Benson, Bloomfield, Gerald S., Dick, Jonathan, Finkelstein, Eric, Kamano, Jemima, Mwangi, Ann, Naanyu, Violet, Pastakia, Sonak D., Valente, Thomas W., Vedanthan, Rajesh, Akwanalo, Constantine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734355/
https://www.ncbi.nlm.nih.gov/pubmed/31500661
http://dx.doi.org/10.1186/s13063-019-3661-4
_version_ 1783450138570653696
author Mercer, Tim
Njuguna, Benson
Bloomfield, Gerald S.
Dick, Jonathan
Finkelstein, Eric
Kamano, Jemima
Mwangi, Ann
Naanyu, Violet
Pastakia, Sonak D.
Valente, Thomas W.
Vedanthan, Rajesh
Akwanalo, Constantine
author_facet Mercer, Tim
Njuguna, Benson
Bloomfield, Gerald S.
Dick, Jonathan
Finkelstein, Eric
Kamano, Jemima
Mwangi, Ann
Naanyu, Violet
Pastakia, Sonak D.
Valente, Thomas W.
Vedanthan, Rajesh
Akwanalo, Constantine
author_sort Mercer, Tim
collection PubMed
description BACKGROUND: Hypertension is a major risk factor for cardiovascular disease (CVD), yet treatment and control rates for hypertension are very low in low- and middle-income countries (LMICs). Lack of effective referral networks between different levels of the health system is one factor that threatens the ability to achieve adequate blood pressure control and prevent CVD-related morbidity. Health information technology and peer support are two strategies that have improved care coordination and clinical outcomes for other disease entities in other settings; however, their effectiveness and cost-effectiveness in strengthening referral networks to improve blood pressure control and reduce CVD risk in low-resource settings are unknown. METHODS/DESIGN: We will use the PRECEDE-PROCEED framework to conduct transdisciplinary implementation research, focused on strengthening referral networks for hypertension in western Kenya. We will conduct a baseline needs and contextual assessment using a mixed-methods approach, in order to inform a participatory, community-based design process to fully develop a contextually and culturally appropriate intervention model that combines health information technology and peer support. Subsequently, we will conduct a two-arm cluster randomized trial comparing 1) usual care for referrals vs 2) referral networks strengthened with our intervention. The primary outcome will be one-year change in systolic blood pressure. The key secondary clinical outcome will be CVD risk reduction, and the key secondary implementation outcomes will include referral process metrics such as referral appropriateness and completion rates. We will conduct a mediation analysis to evaluate the influence of changes in referral network characteristics on intervention outcomes, a moderation analysis to evaluate the influence of baseline referral network characteristics on the effectiveness of the intervention, as well as a process evaluation using the Saunders framework. Finally, we will analyze the incremental cost-effectiveness of the intervention relative to usual care, in terms of costs per unit decrease in systolic blood pressure, per percentage change in CVD risk score, and per disability-adjusted life year saved. DISCUSSION: This study will provide evidence for the implementation of innovative strategies for strengthening referral networks to improve hypertension control in LMICs. If effective, it has the potential to be a scalable model for health systems strengthening in other low-resource settings worldwide. TRIAL REGISTRATION: Clinicaltrials.gov, NCT03543787. Registered on 29 June 2018. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13063-019-3661-4) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6734355
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-67343552019-09-12 Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS) in western Kenya: a study protocol of a cluster randomized trial Mercer, Tim Njuguna, Benson Bloomfield, Gerald S. Dick, Jonathan Finkelstein, Eric Kamano, Jemima Mwangi, Ann Naanyu, Violet Pastakia, Sonak D. Valente, Thomas W. Vedanthan, Rajesh Akwanalo, Constantine Trials Study Protocol BACKGROUND: Hypertension is a major risk factor for cardiovascular disease (CVD), yet treatment and control rates for hypertension are very low in low- and middle-income countries (LMICs). Lack of effective referral networks between different levels of the health system is one factor that threatens the ability to achieve adequate blood pressure control and prevent CVD-related morbidity. Health information technology and peer support are two strategies that have improved care coordination and clinical outcomes for other disease entities in other settings; however, their effectiveness and cost-effectiveness in strengthening referral networks to improve blood pressure control and reduce CVD risk in low-resource settings are unknown. METHODS/DESIGN: We will use the PRECEDE-PROCEED framework to conduct transdisciplinary implementation research, focused on strengthening referral networks for hypertension in western Kenya. We will conduct a baseline needs and contextual assessment using a mixed-methods approach, in order to inform a participatory, community-based design process to fully develop a contextually and culturally appropriate intervention model that combines health information technology and peer support. Subsequently, we will conduct a two-arm cluster randomized trial comparing 1) usual care for referrals vs 2) referral networks strengthened with our intervention. The primary outcome will be one-year change in systolic blood pressure. The key secondary clinical outcome will be CVD risk reduction, and the key secondary implementation outcomes will include referral process metrics such as referral appropriateness and completion rates. We will conduct a mediation analysis to evaluate the influence of changes in referral network characteristics on intervention outcomes, a moderation analysis to evaluate the influence of baseline referral network characteristics on the effectiveness of the intervention, as well as a process evaluation using the Saunders framework. Finally, we will analyze the incremental cost-effectiveness of the intervention relative to usual care, in terms of costs per unit decrease in systolic blood pressure, per percentage change in CVD risk score, and per disability-adjusted life year saved. DISCUSSION: This study will provide evidence for the implementation of innovative strategies for strengthening referral networks to improve hypertension control in LMICs. If effective, it has the potential to be a scalable model for health systems strengthening in other low-resource settings worldwide. TRIAL REGISTRATION: Clinicaltrials.gov, NCT03543787. Registered on 29 June 2018. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13063-019-3661-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-09-09 /pmc/articles/PMC6734355/ /pubmed/31500661 http://dx.doi.org/10.1186/s13063-019-3661-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Study Protocol
Mercer, Tim
Njuguna, Benson
Bloomfield, Gerald S.
Dick, Jonathan
Finkelstein, Eric
Kamano, Jemima
Mwangi, Ann
Naanyu, Violet
Pastakia, Sonak D.
Valente, Thomas W.
Vedanthan, Rajesh
Akwanalo, Constantine
Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS) in western Kenya: a study protocol of a cluster randomized trial
title Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS) in western Kenya: a study protocol of a cluster randomized trial
title_full Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS) in western Kenya: a study protocol of a cluster randomized trial
title_fullStr Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS) in western Kenya: a study protocol of a cluster randomized trial
title_full_unstemmed Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS) in western Kenya: a study protocol of a cluster randomized trial
title_short Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS) in western Kenya: a study protocol of a cluster randomized trial
title_sort strengthening referral networks for management of hypertension across the health system (strengths) in western kenya: a study protocol of a cluster randomized trial
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734355/
https://www.ncbi.nlm.nih.gov/pubmed/31500661
http://dx.doi.org/10.1186/s13063-019-3661-4
work_keys_str_mv AT mercertim strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial
AT njugunabenson strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial
AT bloomfieldgeralds strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial
AT dickjonathan strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial
AT finkelsteineric strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial
AT kamanojemima strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial
AT mwangiann strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial
AT naanyuviolet strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial
AT pastakiasonakd strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial
AT valentethomasw strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial
AT vedanthanrajesh strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial
AT akwanaloconstantine strengtheningreferralnetworksformanagementofhypertensionacrossthehealthsystemstrengthsinwesternkenyaastudyprotocolofaclusterrandomizedtrial