Evidence map›Paper›PMID 40230394›Full record

ArticleOxford open digital health2024

Interventions and adaptations to strengthen data quality and use for COVID-19 vaccination: a mixed methods evaluation.

Godefroid Mpanya, Constant Kingongo, Julia Ngomba, Erick Biduaya Panu, Papy Mbokolo, Djeneba Coulibaly, Sang Dao Dinh, Dung Tham Chi, Trung Pham, Thao Le and 8 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Godefroid MpanyaMOMENTUM Routine Immunization Transformation and Equity, PATH, 119, Blvd du 30 Juin, Immeuble Matrix, 5e niveau, Commune de la Gombe, Kinshasa, DRC.
Constant KingongoMOMENTUM Routine Immunization Transformation and Equity, PATH, 119, Blvd du 30 Juin, Immeuble Matrix, 5e niveau, Commune de la Gombe, Kinshasa, DRC.
Julia NgombaMOMENTUM Routine Immunization Transformation and Equity, PATH, 119, Blvd du 30 Juin, Immeuble Matrix, 5e niveau, Commune de la Gombe, Kinshasa, DRC.
Erick Biduaya PanuConsultant, PATH, Kinshasa, DRC.
Papy MbokoloConsultant, PATH, Kinshasa, DRC.
Djeneba CoulibalyMOMENTUM Routine Immunization Transformation and Equity, PATH, 119, Blvd du 30 Juin, Immeuble Matrix, 5e niveau, Commune de la Gombe, Kinshasa, DRC.
Sang Dao DinhMOMENTUM Routine Immunization Transformation and Equity, PATH, R11.01, 11th Floor, Hanoi Towers, 49 Hai Ba Trung, Hoan Kiem District, Hanoi, Vietnam.
Dung Tham ChiMOMENTUM Routine Immunization Transformation and Equity, PATH, R11.01, 11th Floor, Hanoi Towers, 49 Hai Ba Trung, Hoan Kiem District, Hanoi, Vietnam.
Trung PhamMOMENTUM Routine Immunization Transformation and Equity, PATH, R11.01, 11th Floor, Hanoi Towers, 49 Hai Ba Trung, Hoan Kiem District, Hanoi, Vietnam.
Thao LeMOMENTUM Routine Immunization Transformation and Equity, PATH, R11.01, 11th Floor, Hanoi Towers, 49 Hai Ba Trung, Hoan Kiem District, Hanoi, Vietnam.
Hawa IddeMOMENTUM Routine Immunization Transformation and Equity, JSI, Niamey, Niger.
Yannick AguiMOMENTUM Routine Immunization Transformation and Equity, JSI, Niamey, Niger.
Wendy ProsserMOMENTUM Routine Immunization Transformation and Equity, JSI, Arlington, JSI, 2733 Crystal Drive, Arlington, VA 22202, USA.
Ana CostacheMOMENTUM Routine Immunization Transformation and Equity, JSI, Arlington, JSI, 2733 Crystal Drive, Arlington, VA 22202, USA.
Audry HongMOMENTUM Routine Immunization Transformation and Equity, PATH, 2201 Westlake Avenue, Seattle, WA 98121, USA.
Elan EbelingMOMENTUM Routine Immunization Transformation and Equity, PATH, 2201 Westlake Avenue, Seattle, WA 98121, USA.
Grace AwantangMOMENTUM Routine Immunization Transformation and Equity, JSI, Arlington, JSI, 2733 Crystal Drive, Arlington, VA 22202, USA.
Jessica C ShearerMOMENTUM Routine Immunization Transformation and Equity, PATH, 455 Massachusetts Ave NW, Washington, DC 20001, Washington, DC, USA.ORCID https://orcid.org/0000-0003-1025-5739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many countries used digital health solutions to support COVID-19 vaccination but struggled to implement them, resulting in adaptations. This theory-driven mixed methods evaluation of COVID-19 vaccine-related data and digital interventions from the Democratic Republic of the Congo, Niger and Vietnam aimed to uncover (i) what drove mid-course adaptations of these digital health interventions, (ii) how these adapted interventions may have contributed to improved availability, quality and use of COVID-19 vaccine-related data and (iii) if and how these interventions strengthened eHealth building blocks. Methods consisted of interviews, document review, secondary data analysis and observation. Findings indicated that decisions to adapt original interventions were driven by need and the availability of funding. Adapted interventions improved the availability and quality of data. Data use improved in all three countries although there were ongoing challenges observed in the Democratic Republic of the Congo and Niger. The interventions did not appear to strengthen the eHealth building blocks, although in the Democratic Republic of the Congo and Niger they had positive effects on routine immunization systems. Achieving longer-term improvements in eHealth building blocks requires intentional focus from the design stage, which may be more challenging in an emergency context. Abrégé De nombreux pays ont utilisé des solutions de santé numériques pour appuyer la vaccination contre la COVID-19, mais ont eu du mal à les mettre en œuvre, ce qui a conduit à des adaptations. Cette évaluation à base théorique des données liées au vaccin contre la COVID-19 et des interventions numériques de la République démocratique du Congo, du Niger et du Vietnam vise à découvrir (1) ce qui a motivé les adaptations à mi-parcours de ces interventions de santé numérique, (2) comment ces interventions adaptées ont pu contribuer à accroître la disponibilité, la qualité, et l'utilisation des données relatives au vaccin contre la COVID-19 et (3) si et comment ces interventions ont renforcé les composantes de cybersanté. Les méthodes ont compris des entretiens, un examen des documents, une analyse des données secondaires et l'observation. Les résultats indiquent que les décisions d'adapter les interventions originales étaient dictées par les besoins et la disponibilité des financements. Les interventions adaptées ont permis d'accroître la disponibilité et la qualité des données. L'utilisation des données s'est améliorée dans ces trois pays, bien que des problèmes persistent en République démocratique du Congo et au Niger. Les interventions n'ont pas semblé renforcer les composantes de cybersanté, bien qu'elles aient eu des effets positifs sur les systèmes de vaccination systématique en République démocratique du Congo et au Niger. Améliorer les composantes de cybersanté nationales sur le plus long terme exige une intentionnalité accrue dès la phase de conception, ce qui peut être plus difficile dans un contexte de crise. Resumen Muchos países utilizaron soluciones de salud digital para apoyar la vacunación contra la COVID-19, pero tuvieron dificultades para implementarlas, lo que dio lugar a adaptaciones. Esta evaluación de los datos relacionados con la vacuna contra la COVID-19 y las intervenciones digitales realizadas en la República Democrática del Congo, Níger y Vietnam, basada en la teoría y en métodos mixtos, tiene como objetivo descubrir: (1) qué impulsó las adaptaciones de estas intervenciones de salud digital a medio camino, (2) cómo estas intervenciones adaptadas pueden haber contribuido a mejorar la disponibilidad, la calidad y el uso de los datos relacionados con la vacuna contra la COVID-19, y (3) si estas intervenciones fortalecieron los componentes básicos de la cibersalud y cómo lo hicieron. Los métodos consistieron en entrevistas, revisión de documentos, análisis de datos secundarios y observación. Los hallazgos indicaron que las decisiones de adaptar las intervenciones originales fueron impulsadas por la necesidad y la disponibilidad de fondos. Las intervenciones adaptadas mejoraron la disponibilidad y la calidad de los datos. El uso de datos mejoró en los tres países, aunque se siguieron observando problemas en la República Democrática del Congo y Níger. Las intervenciones no parecieron fortalecer los componentes básicos de la cibersalud, si bien en la República Democrática del Congo y Níger tuvieron efectos positivos en los sistemas de vacunación sistemática. Para lograr mejoras a largo plazo en los componentes básicos de la cibersalud se requiere un enfoque deliberado desde la etapa de diseño, lo que puede resultar más difícil en un contexto de emergencia.

Indexed as

adaptive managementCOVID-19data qualitydata usehealth management information systemimmunization

Identifiers

PMID40230394
PMCPMC11936330

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Registered trials

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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.