Evidence map›Paper›PMID 40230395›Full record

ArticleOxford open digital health2024

Does investment in COVID-19 information systems strengthen national digital health architecture? Lessons learned from Burkina Faso, Indonesia, Mali and Suriname.

Colleen Boyle, Caitlin Madevu-Matson, Agus Rachmanto, Derek Kunaka, Lauren Gilliss, Leah McManus, Madina Kouyate, Maria Aruan, Nony Parmawaty, Rahim Kebe and 2 more

Abstract read
In one paragraph

Article in Oxford open digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

12 authors.

Colleen BoyleCountry Health Information Systems and Data Use Project, JSI Research & Training Institute, Inc., 2733 Crystal Drive, Arlington, Virginia, 22202, USA.
Caitlin Madevu-MatsonCountry Health Information Systems and Data Use Project, JSI Research & Training Institute, Inc., 2733 Crystal Drive, Arlington, Virginia, 22202, USA.ORCID https://orcid.org/0000-0002-5505-5274
Agus RachmantoDigital Transformation Office, Ministry of Health of the Republic of Indonesia, Jl. HR. Rasuna Said Blok X5 Kav. 4-9Jakarta Selatan, Jakarta, 12950, Indonesia.
Derek KunakaCountry Health Information Systems and Data Use Project, JSI Research & Training Institute, Inc., 286 Auriga Street, Waterkloof, Pretoria, 0181, South Africa.
Lauren GillissCountry Health Information Systems and Data Use Project, JSI Research & Training Institute, Inc., 2733 Crystal Drive, Arlington, Virginia, 22202, USA.
Leah McManusCountry Health Information Systems and Data Use Project, JSI Research & Training Institute, Inc., 30th floor, Sampoerna Strategic Square, South Tower Jl., Jend. Sudirman Kav. 45-46, Jakarta, 12930, Indonesia.
Madina KouyateCountry Health Information Systems and Data Use Project, JSI Research & Training Institute, Inc., Mali Quartier Hamdallaye ACI 2000, Rue 317, Porte 140, Immeuble SYLLA, Bamako, Mali.
Maria AruanCountry Health Information Systems and Data Use Project, JSI Research & Training Institute, Inc., 30th floor, Sampoerna Strategic Square, South Tower Jl., Jend. Sudirman Kav. 45-46, Jakarta, 12930, Indonesia.
Nony ParmawatyCountry Health Information Systems and Data Use Project, JSI Research & Training Institute, Inc., 30th floor, Sampoerna Strategic Square, South Tower Jl., Jend. Sudirman Kav. 45-46, Jakarta, 12930, Indonesia.
Rahim KebeCountry Health Information Systems and Data Use Project, JSI Research & Training Institute, Inc., Ouaga 2000, Arrondissement 12, Ouagadougou, Burkina Faso.
Vijay SewradjCountry Health Information Systems and Data Use Project, JSI Research & Training Institute, Inc., Paramaribo, Suriname.
Stephanie Watson-GrantCountry Health Information Systems and Data Use Project, JSI Research & Training Institute, Inc., 2733 Crystal Drive, Arlington, Virginia, 22202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is limited research on how emergency investments can support national health information system strengthening both for a given health emergency response and for routine health program areas. This study examined the effect of COVID-19 vaccine digital investments on advancing national digital health system architectures in Burkina Faso, Indonesia, Mali and Suriname. Primary qualitative data were collected through purposively sampled key informant interviews and focus group discussions with 67 key stakeholders from government institutions, donors and implementing partners from February to May 2023. Primary data were triangulated with secondary data collected through desk review and were analyzed deductively and inductively using thematic coding. The study found that although USAID's COVID-19 vaccine digital investments in Burkina Faso, Indonesia, Mali and Suriname did not contribute to the development of formal national digital health architecture documentation, progress was made in strengthening components of national digital health architectures, specifically around standards and interoperability and around governance. Progress was also made in motivating government stakeholders to invest in formal digital health transformation efforts. Lessons learned from this study suggest that connecting investments in system development and enhancement with investments in governance and infrastructure can improve country data management processes and data use for decision-making in routine health and emergency responses. Abrégé Peu de recherches ont été effectuées sur la façon dont les investissements fournis dans les situations d'urgence peuvent appuyer le renforcement du système national d'information sur la santé, tant pour une intervention d'urgence sanitaire donnée que pour les secteurs de programmes de santé courants. Cette étude examine l'effet des investissements numériques dans le vaccin contre la COVID-19 sur le développement des architectures nationales des systèmes de santé numériques au Burkina Faso, en Indonésie, au Mali et au Suriname. Les données qualitatives primaires ont été recueillies au moyen d'entretiens auprès d'informateurs clés échantillonnés de manière ciblée et de discussions de groupes avec 67 parties prenantes clés issues d'organismes gouvernementaux, de donateurs et de partenaires de mise en œuvre entre les mois de Février et Mai 2023. Les données primaires ont été triangulées avec les données secondaires recueillies par le biais d'une étude documentaire et ont été analysées de manière déductive et inductive à l'aide d'un codage thématique. L'étude a révélé que, bien que les investissements numériques de l'USAID en faveur du vaccin contre la COVID-19 réalisés au Burkina Faso, en Indonésie, au Mali et au Suriname n'aient pas contribué au développement d'une documentation officielle sur l'architecture numérique de la santé, des progrès ont été réalisés dans le renforcement de certains éléments des architectures numériques nationales de la santé, en particulier autour des normes et de l'interopérabilité et autour de la gouvernance. Des progrès ont également été réalisés s'agissant d'inciter les acteurs gouvernementaux à investir dans les efforts formels de transformation de la santé numérique. Les enseignements tirés de cette étude montrent que lier les investissements dans le développement et l'amélioration des systèmes aux investissements dans la gouvernance et les infrastructures permet d'améliorer les processus de gestion des données nationales et l'utilisation des données pour la prise de décisions dans les interventions sanitaires d'urgence et de routine. Resumen Son limitadas las investigaciones sobre la manera en que las inversiones de emergencia pueden apoyar el fortalecimiento de los sistemas nacionales de información de salud, tanto para la respuesta a una emergencia sanitaria determinada como para áreas de programas de salud de rutina. En este estudio se examinó el efecto de las inversiones digitales en vacunas contra la COVID-19 sobre el avance de las estructuras de los sistemas nacionales de salud digital en Burkina Faso, Indonesia, Malí y Surinam. Se recopilaron datos cualitativos primarios a través de entrevistas con informantes clave muestreadas intencionalmente y discusiones de grupos focales con 67 interesados clave de instituciones gubernamentales, donantes y socios implementadores de Febrero a Mayo de 2023. Los datos primarios se triangularon con datos secundarios recopilados mediante revisión documental y se analizaron de forma deductiva e inductiva mediante codificación temática. En el estudio se halló que, aunque las inversiones digitales de USAID en vacunas contra la COVID-19 en Burkina Faso, Indonesia, Malí y Surinam no contribuyeron al desarrollo de la documentación formal de las estructuras nacionales de salud digital, sí ayudaron a fortalecer ciertos componentes de esas estructuras, específicamente en relación con las normas y la interoperabilidad y con la gobernanza. También se avanzó en la motivación de las partes interesadas gubernamentales para que inviertan en esfuerzos formales de transformación de la salud digital. Las lecciones aprendidas a partir de este estudio sugieren que conectar las inversiones en el desarrollo y la mejora del sistema con las inversiones en gobernanza e infraestructura puede mejorar los procesos de gestión de datos nacionales y el uso de datos para la toma de decisiones en las respuestas de rutina de salud y emergencia.

Indexed as

COVID-19digital health architecturehealth information systemsinteroperabilitypandemic responsevaccination

Identifiers

PMID40230395
PMCPMC11935742

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.