Evidence map›Paper›PMID 38509605›Full record

ArticleImplementation science communications2024

Scaling-up and scaling-out the Systems Analysis and Improvement Approach to optimize the hypertension diagnosis and care cascade for HIV infected individuals (SCALE SAIA-HTN): a stepped-wedge cluster randomized trial.

Carmen E Hazim, Igor Dobe, Stephen Pope, Kristjana H Ásbjörnsdóttir, Orvalho Augusto, Fernando Pereira Bruno, Sergio Chicumbe, Norberto Lumbandali, Inocêncio Mate, Elso Ofumhan and 8 more

Registry-linked trialAbstract read
In one paragraph

Article in Implementation science communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05002322 (Scaling Out and Scaling Up the Systems Analysis and Improvement Approach to Optimize the Hypertension Diagnosis and Care Cascade for HIV-infected Individuals), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05002322 nacompletednot on this map

Scaling Out and Scaling Up the Systems Analysis and Improvement Approach to Optimize the Hypertension Diagnosis and Care Cascade for HIV-infected Individuals

TypeinterventionalSponsorEduardo Mondlane UniversityRan2023 to 2025Enrolled18ConditionsHypertensionArmsSystems Analysis and Improvement Approach
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Carmen E HazimDepartment of Global Health, University of Washington, Seattle, WA, USA. chazim@uw.edu.ORCID http://orcid.org/0000-0002-6024-9815
Igor DobeInstituto Nacional de Saúde, Vila de Marracuene, Província de Maputo, Mozambique.
Stephen PopeDepartment of Global Health, University of Washington, Seattle, WA, USA.
Kristjana H ÁsbjörnsdóttirCentre of Public Health Sciences, University of Iceland, Reykjavík, Iceland.
Orvalho AugustoDepartment of Global Health, University of Washington, Seattle, WA, USA.
Fernando Pereira BrunoCenter for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Washington D.C, USA.
Sergio ChicumbeInstituto Nacional de Saúde, Vila de Marracuene, Província de Maputo, Mozambique.
Norberto LumbandaliInstituto Nacional de Saúde, Vila de Marracuene, Província de Maputo, Mozambique.
Inocêncio MateInstituto Nacional de Saúde, Vila de Marracuene, Província de Maputo, Mozambique.
Elso OfumhanMozambique Institute for Health Education and Research, Maputo, Mozambique.
Sam PatelFaculty of Medicine, Universidade Eduardo Mondlane, Maputo, Mozambique.
Riaze RafikMozambique Institute for Health Education and Research, Maputo, Mozambique.
Kenneth SherrDepartment of Global Health, University of Washington, Seattle, WA, USA.
Veronica TonweCenter for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Washington D.C, USA.
Onei UetelaDepartment of Global Health, University of Washington, Seattle, WA, USA.
David WatkinsDepartment of Global Health, University of Washington, Seattle, WA, USA.
Sarah GimbelDepartment of Global Health, University of Washington, Seattle, WA, USA.
Ana O MocumbiInstituto Nacional de Saúde, Vila de Marracuene, Província de Maputo, Mozambique.

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
Scaling Out and Scaling Up the Systems Analysis and Improvement Approach to Optimize the Hypertension Diagnosis andCare Cascade for HIV-infected Individuals (SCALE SAIA HTN)UH3HL156390 · NHLBI · EDUARDO MONDLANE UNIVERSITY · PI MOCUMBI, ANA OLGA · 2022 to 2024
$2.3M
NHLBI NIH HHS UH3 HL156390NHLBI NIH HHS UH3HL156390NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI036214
6 · The paper itself

Abstract

backgroundUndiagnosed and untreated hypertension is a main driver of cardiovascular disease and disproportionately affects persons living with HIV (PLHIV) in low- and middle-income countries. Across sub-Saharan Africa, guideline application to screen and manage hypertension among PLHIV is inconsistent due to poor service readiness, low health worker motivation, and limited integration of hypertension screening and management within HIV care services. In Mozambique, where the adult HIV prevalence is over 13%, an estimated 39% of adults have hypertension. As the only scaled chronic care service in the county, the HIV treatment platform presents an opportunity to standardize and scale hypertension care services. Low-cost, multi-component systems-level strategies such as the Systems Analysis and Improvement Approach (SAIA) have been found effective at integrating hypertension and HIV services to improve the effectiveness of hypertension care delivery for PLHIV, reduce drop-offs in care, and improve service quality. To build off lessons learned from a recently completed cluster randomized trial (SAIA-HTN) and establish a robust evidence base on the effectiveness of SAIA at scale, we evaluated a scaled-delivery model of SAIA (SCALE SAIA-HTN) using existing district health management structures to facilitate SAIA across six districts of Maputo Province, Mozambique.

methodsThis study employs a stepped-wedge design with randomization at the district level. The SAIA strategy will be "scaled up" with delivery by district health supervisors (rather than research staff) and will be "scaled out" via expansion to Southern Mozambique, to 18 facilities across six districts in Maputo Province. SCALE SAIA-HTN will be introduced over three, 9-month waves of intensive intervention, where technical support will be provided to facilities and district managers by study team members from the Mozambican National Institute of Health. Our evaluation of SCALE SAIA-HTN will be guided by the RE-AIM framework and will seek to estimate the budget impact from the payer's perspective. DISCUSSION: SAIA packages user-friendly systems engineering tools to support decision-making by frontline health workers and to identify low-cost, contextually relevant improvement strategies. By integrating SAIA delivery into routine management structures, this pragmatic trial will determine an effective strategy for national scale-up and inform program planning.

trial registrationClinicalTrials.gov NCT05002322 (registered 02/15/2023).

Indexed as

Cascade analysisCFIRContinuous quality improvementHIVHypertensionProcess mappingRE-AIMService integrationStepped wedgeSystems analysis and improvement approach (SAIA)

Identifiers

PMID38509605
PMCPMC10953165

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.