<p>MSFeCARE, an electronic algorithm to improve the management of childhood illness in primary health care</p>

Clotilde Rambaud-Althaus; Anna  Righetti; Nicolas  Peyraud; Maya  Shah; Michel  Quéré; Micaela  Serafini; Marie-Claude  Bottineau

doi:10.7490/f1000research.1111921.1

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Rambaud-Althaus C, Righetti A, Peyraud N et al. MSFeCARE, an electronic algorithm to improve the management of childhood illness in primary health care [version 1; not peer reviewed]. F1000Research 2016, 5:934 (slides) (https://doi.org/10.7490/f1000research.1111921.1)

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MSFeCARE, an electronic algorithm to improve the management of childhood illness in primary health care

Clotilde Rambaud-Althaus¹, Anna Righetti, Nicolas Peyraud, Maya Shah, Michel Quéré, Micaela Serafini, Marie-Claude Bottineau

Published 19 May 2016 (https://doi.org/10.7490/f1000research.1111921.1)

Author Affiliations

¹ MSF, Switzerland

Copyright © 2016 Rambaud-Althaus C et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 19 May 2016

MSFeCARE, an electronic algorithm to improve the management of childhood illness in primary health care
[version 1; not peer reviewed]

Clotilde Rambaud-Althaus¹, Anna Righetti, Nicolas Peyraud, Maya Shah, Michel Quéré, Micaela Serafini, Marie-Claude Bottineau

Author Affiliations

¹ MSF, Switzerland

Presented at

Médecins Sans Frontières (MSF) Scientific Day 2016

Abstract

In her presentation, Clotilde Rambaud-Althaus describes MSFeCARE, an electronic algorithm designed to improve management of childhood illnesses in primary health care, and assesses acceptability and implementation of MSFeCARE in primary care facilities supported by MSF. The final goal of using this algorithm is to improve the quality of care and rational use of antibiotics in children aged from 2 months to 5 years affected by acute illnesses, providing an unambiguous step-by-step procedure to assess, classify and treat illnesses. The quasi-experimental pre-post test study was carried out in Geti, Democratic Republic of Congo. These slides highlight how MSFeCARE has the potential to improve thoroughness of clinical assessment and to reduce antibiotic prescription, is appropriate to clinical field realities and is technically feasible in the locations tested.

This work was also presented by Anna Righetti from MSF Switzerland during the MSF Scientific Day Southern Africa.

Competing Interests

No competing interests were disclosed

Keywords

MSFeCARE, algorithm, childhood illnesses, acceptability, implementation

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