Evidence map›Paper›PMID 40230548›Full record

ArticleOxford open digital health2024

How much could health worker absenteeism impact health outcomes? A modeling study of malaria in Kenya.

Amy Finnegan, Janet Muriuki, Olivia Velez

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.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Amy FinneganData Science, IntraHealth Internationall, 6340 Quadrangle Drive, #150, Chapel Hill, NC 27517, USA.ORCID https://orcid.org/0000-0003-4940-6581
Janet MuriukiHealth Workforce Development, IntraHealth International, IntraHealth Kenya, 9 West, Parklands/Highridge Ring Road, Lower Kabete Rd, Nairobi, Kenya.ORCID https://orcid.org/0009-0005-0619-6272
Olivia VelezCenter for Digital Health, IntraHealth International, 6340 Quadrangle Drive, #150, Chapel Hill, NC 27517, USA.ORCID https://orcid.org/0009-0001-7207-6405

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When health workers are not at their posts, health care does not happen. Health worker absenteeism in Kenya was 53.8% in 2018 according to the World Bank Service Delivery Indicators Survey. Absenteeism is especially impactful for treatment of malaria where delays in treatment can lead to deadly consequences especially among the most vulnerable. Human resources management and development strengthening interventions using digital tools like iHRIS, IntraHealth International's open-source, human resource information system, can enable data-driven decision making to plan and budget for health workers and dynamically redistribute them. These promising approaches can reduce systemic absenteeism, but little is known how much impact reduced absenteeism can have on health outcomes. In this study, the Spectrum Malaria tool, a dynamic malaria transmission model developed by Avenir Health, was used to test three scenarios of reduced absenteeism (5, 10 and 15%) to quantify the potential impact of absenteeism on malaria cases and deaths averted and RESUMEN: Cuando los prestadores de salud no están en sus puestos, el cuidado de la salud no ocurre. El ausentismo entre los prestadores de salud en Kenia fue de 53.8% en 2018, según las encuestas de los Indicadores de Prestación de Servicios (IPS) del Banco Mundial. Ausentismo como este entraña un impacto especialmente fuerte en el tratamiento de la malaria, donde la demora puede tener consecuencias letales, especialmente entre los más vulnerables. Intervenciones con herramientas digitales que fortalecen la gestión y desarrollo de recursos humanos, como iHRIS (el sistema de información de recursos humanos de código abierto de IntraHealth International), hacen posible tomar decisiones basadas en datos en torno a la planificación y presupuestación de la fuerza laboral de prestadores de salud y a cómo distribuirla de forma dinámica. Estos prometedores enfoques pueden reducir el ausentismo sistémico, pero se sabe poco acerca del tamaño del impacto que esta reducción puede tener en los resultados de salud. En este estudio usamos Spectrum-Malaria (un modelo dinámico de transmisión de la malaria, desarrollado por Avenir Health) como herramienta para examinar tres escenarios de ausentismo reducido (del 5, 10, y 15%) a fin de cuantificar el impacto potencial del ausentismo sobre el número de casos y fallecimientos evitados, y la prevalencia de RESUMO: Quando os profissionais de saúde não estão nos seus postos, os cuidados de saúde não são prestados O absentismo dos profissionais de saúde no Quénia foi de 53,8% em 2018, de acordo com o Inquérito de Indicadores de Prestação de Serviços do Banco Mundial. O absentismo tem um impacto especial no tratamento da malária, onde os atrasos no tratamento podem ter consequências mortais, especialmente entre os mais vulneráveis. As intervenções de gestão de recursos humanos e de reforço do desenvolvimento que utilizam ferramentas digitais como o iHRIS, o sistema de informação de recursos humanos de fonte aberta da IntraHealth International, podem permitir a tomada de decisões baseadas em dados para planear e orçamentar os profissionais de saúde e redistribuí-los dinamicamente. Estas abordagens promissoras podem reduzir o absentismo sistémico, mas pouco se sabe sobre o impacto que a redução do absentismo pode ter nos resultados sanitários. Neste estudo, a ferramenta Spectrum Malaria, um modelo dinâmico de transmissão da malária desenvolvido pela Avenir Health, foi utilizada para testar três cenários de redução do absentismo (5, 10 e 15%), para quantificar o impacto potencial do absentismo nos casos de malária e mortes evitadas e na prevalência de RÉSUMÉ: Lorsque les agents de santé ne sont pas à leur poste, les soins de santé ne sont pas dispensés. L'absentéisme des agents de santé au Kenya était de 53,8% en 2018, selon l'enquête sur les Indicateurs de prestation de services de la Banque mondiale. L'absentéisme a un impact particulièrement important pour le traitement du paludisme, où les retards dans le traitement peuvent avoir des conséquences mortelles, en particulier parmi les plus vulnérables. Les interventions de renforcement de la gestion et du développement des ressources humaines utilisant des outils numériques comme iHRIS, le système d'information sur les ressources humaines open source d'IntraHealth International, peuvent permettre une prise de décision fondée sur les données pour planifier et budgétiser la gestion des agents de santé et les redistribuer de manière dynamique. Ces approches prometteuses peuvent réduire l'absentéisme systémique, mais on sait peu de choses sur l'impact qu'une réduction de l'absentéisme peut avoir sur les résultats de santé. Dans cette étude, l'outil Spectrum Malaria, un modèle dynamique de transmission du paludisme développé par Avenir Health, a été utilisé pour tester trois scénarios de réduction de l'absentéisme (5, 10 et 15%) afin de quantifier l'impact potentiel de l'absentéisme sur les cas de paludisme et les décès évités. et sur la prévalence de

Indexed as

absenteeismdigital healthhuman resources for healthKenyamalaria

Identifiers

PMID40230548
PMCPMC11936326

What OpenQuestion holds

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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.