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Systematic review to identify proxy indicators to quantify the impact of eHealth tools on maternal and neonatal health outcomes in low-income and middle-income countries including Delphi consensus

OBJECTIVE: To identify interventions that could serve as reliable proxy indicators to measure eHealth impact on maternal and neonatal outcomes. DESIGN: Systematic review and Delphi study. METHODS: We searched PubMed, Embase and Cochrane from January 1990 to May 2016 for studies and reviews that eval...

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Autores principales: Perrin, Caroline, Hounga, Lothaire, Geissbuhler, Antoine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104789/
https://www.ncbi.nlm.nih.gov/pubmed/30121608
http://dx.doi.org/10.1136/bmjopen-2018-022262
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author Perrin, Caroline
Hounga, Lothaire
Geissbuhler, Antoine
author_facet Perrin, Caroline
Hounga, Lothaire
Geissbuhler, Antoine
author_sort Perrin, Caroline
collection PubMed
description OBJECTIVE: To identify interventions that could serve as reliable proxy indicators to measure eHealth impact on maternal and neonatal outcomes. DESIGN: Systematic review and Delphi study. METHODS: We searched PubMed, Embase and Cochrane from January 1990 to May 2016 for studies and reviews that evaluated interventions aimed at improving maternal/neonatal health and reducing mortality. Interventions that are not low-income and middle-income context appropriate and that cannot currently be diagnosed, managed or impacted by eHealth (eg, via telemedicine distance diagnostic or e-learning) were excluded. We used the Cochrane risk of bias, Risk Of Bias In Non- randomised Studies - of Interventions and ROBIS tool to assess the risk of bias. A three-step modified Delphi method was added to identify additional proxy indicators and prioritise the results, involving a panel of 13 experts from different regions, representing obstetricians and neonatologists. RESULTS: We included 44 studies and reviews, identifying 40 potential proxy indicators with a positive impact on maternal/neonatal outcomes. The Delphi experts completed and prioritised these, resulting in a list of 77 potential proxy indicators. CONCLUSIONS: The proxy indicators propose relevant outcome measures to evaluate if eHealth tools directly affect maternal/neonatal outcomes. Some proxy indicators require mapping to the local context, practices and available resources. The local mapping facilitates the utilisation of the proxy indicators in various contexts while allowing the systematic collection of data from different projects and programmes. Based on the mapping, the same proxy indicator can be used for different contexts, allowing it to measure what is locally and temporally relevant, making the proxy indicator sustainable. PROSPERO REGISTRATION NUMBER: CRD42015027351.
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spelling pubmed-61047892018-08-24 Systematic review to identify proxy indicators to quantify the impact of eHealth tools on maternal and neonatal health outcomes in low-income and middle-income countries including Delphi consensus Perrin, Caroline Hounga, Lothaire Geissbuhler, Antoine BMJ Open Global Health OBJECTIVE: To identify interventions that could serve as reliable proxy indicators to measure eHealth impact on maternal and neonatal outcomes. DESIGN: Systematic review and Delphi study. METHODS: We searched PubMed, Embase and Cochrane from January 1990 to May 2016 for studies and reviews that evaluated interventions aimed at improving maternal/neonatal health and reducing mortality. Interventions that are not low-income and middle-income context appropriate and that cannot currently be diagnosed, managed or impacted by eHealth (eg, via telemedicine distance diagnostic or e-learning) were excluded. We used the Cochrane risk of bias, Risk Of Bias In Non- randomised Studies - of Interventions and ROBIS tool to assess the risk of bias. A three-step modified Delphi method was added to identify additional proxy indicators and prioritise the results, involving a panel of 13 experts from different regions, representing obstetricians and neonatologists. RESULTS: We included 44 studies and reviews, identifying 40 potential proxy indicators with a positive impact on maternal/neonatal outcomes. The Delphi experts completed and prioritised these, resulting in a list of 77 potential proxy indicators. CONCLUSIONS: The proxy indicators propose relevant outcome measures to evaluate if eHealth tools directly affect maternal/neonatal outcomes. Some proxy indicators require mapping to the local context, practices and available resources. The local mapping facilitates the utilisation of the proxy indicators in various contexts while allowing the systematic collection of data from different projects and programmes. Based on the mapping, the same proxy indicator can be used for different contexts, allowing it to measure what is locally and temporally relevant, making the proxy indicator sustainable. PROSPERO REGISTRATION NUMBER: CRD42015027351. BMJ Publishing Group 2018-08-17 /pmc/articles/PMC6104789/ /pubmed/30121608 http://dx.doi.org/10.1136/bmjopen-2018-022262 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Global Health
Perrin, Caroline
Hounga, Lothaire
Geissbuhler, Antoine
Systematic review to identify proxy indicators to quantify the impact of eHealth tools on maternal and neonatal health outcomes in low-income and middle-income countries including Delphi consensus
title Systematic review to identify proxy indicators to quantify the impact of eHealth tools on maternal and neonatal health outcomes in low-income and middle-income countries including Delphi consensus
title_full Systematic review to identify proxy indicators to quantify the impact of eHealth tools on maternal and neonatal health outcomes in low-income and middle-income countries including Delphi consensus
title_fullStr Systematic review to identify proxy indicators to quantify the impact of eHealth tools on maternal and neonatal health outcomes in low-income and middle-income countries including Delphi consensus
title_full_unstemmed Systematic review to identify proxy indicators to quantify the impact of eHealth tools on maternal and neonatal health outcomes in low-income and middle-income countries including Delphi consensus
title_short Systematic review to identify proxy indicators to quantify the impact of eHealth tools on maternal and neonatal health outcomes in low-income and middle-income countries including Delphi consensus
title_sort systematic review to identify proxy indicators to quantify the impact of ehealth tools on maternal and neonatal health outcomes in low-income and middle-income countries including delphi consensus
topic Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104789/
https://www.ncbi.nlm.nih.gov/pubmed/30121608
http://dx.doi.org/10.1136/bmjopen-2018-022262
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