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Cost-Effectiveness of Clinical Decision Support System in Improving Maternal Health Care in Ghana

OBJECTIVE: This paper investigated the cost-effectiveness of a computer-assisted Clinical Decision Support System (CDSS) in the identification of maternal complications in Ghana. METHODS: A cost-effectiveness analysis was performed in a before- and after-intervention study. Analysis was conducted fr...

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Autores principales: Dalaba, Maxwell Ayindenaba, Akweongo, Patricia, Aborigo, Raymond Akawire, Saronga, Happiness Pius, Williams, John, Blank, Antje, Kaltschmidt, Jens, Sauerborn, Rainer, Loukanova, Svetla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431831/
https://www.ncbi.nlm.nih.gov/pubmed/25974093
http://dx.doi.org/10.1371/journal.pone.0125920
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author Dalaba, Maxwell Ayindenaba
Akweongo, Patricia
Aborigo, Raymond Akawire
Saronga, Happiness Pius
Williams, John
Blank, Antje
Kaltschmidt, Jens
Sauerborn, Rainer
Loukanova, Svetla
author_facet Dalaba, Maxwell Ayindenaba
Akweongo, Patricia
Aborigo, Raymond Akawire
Saronga, Happiness Pius
Williams, John
Blank, Antje
Kaltschmidt, Jens
Sauerborn, Rainer
Loukanova, Svetla
author_sort Dalaba, Maxwell Ayindenaba
collection PubMed
description OBJECTIVE: This paper investigated the cost-effectiveness of a computer-assisted Clinical Decision Support System (CDSS) in the identification of maternal complications in Ghana. METHODS: A cost-effectiveness analysis was performed in a before- and after-intervention study. Analysis was conducted from the provider’s perspective. The intervention area was the Kassena- Nankana district where computer-assisted CDSS was used by midwives in maternal care in six selected health centres. Six selected health centers in the Builsa district served as the non-intervention group, where the normal Ghana Health Service activities were being carried out. RESULTS: Computer-assisted CDSS increased the detection of pregnancy complications during antenatal care (ANC) in the intervention health centres (before-intervention= 9 /1,000 ANC attendance; after-intervention= 12/1,000 ANC attendance; P-value=0.010). In the intervention health centres, there was a decrease in the number of complications during labour by 1.1%, though the difference was not statistically significant (before-intervention =107/1,000 labour clients; after-intervention= 96/1,000 labour clients; P-value=0.305). Also, at the intervention health centres, the average cost per pregnancy complication detected during ANC (cost –effectiveness ratio) decreased from US$17,017.58 (before-intervention) to US$15,207.5 (after-intervention). Incremental cost –effectiveness ratio (ICER) was estimated at US$1,142. Considering only additional costs (cost of computer-assisted CDSS), cost per pregnancy complication detected was US$285. CONCLUSIONS: Computer –assisted CDSS has the potential to identify complications during pregnancy and marginal reduction in labour complications. Implementing computer-assisted CDSS is more costly but more effective in the detection of pregnancy complications compared to routine maternal care, hence making the decision to implement CDSS very complex. Policy makers should however be guided by whether the additional benefit is worth the additional cost.
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spelling pubmed-44318312015-05-27 Cost-Effectiveness of Clinical Decision Support System in Improving Maternal Health Care in Ghana Dalaba, Maxwell Ayindenaba Akweongo, Patricia Aborigo, Raymond Akawire Saronga, Happiness Pius Williams, John Blank, Antje Kaltschmidt, Jens Sauerborn, Rainer Loukanova, Svetla PLoS One Research Article OBJECTIVE: This paper investigated the cost-effectiveness of a computer-assisted Clinical Decision Support System (CDSS) in the identification of maternal complications in Ghana. METHODS: A cost-effectiveness analysis was performed in a before- and after-intervention study. Analysis was conducted from the provider’s perspective. The intervention area was the Kassena- Nankana district where computer-assisted CDSS was used by midwives in maternal care in six selected health centres. Six selected health centers in the Builsa district served as the non-intervention group, where the normal Ghana Health Service activities were being carried out. RESULTS: Computer-assisted CDSS increased the detection of pregnancy complications during antenatal care (ANC) in the intervention health centres (before-intervention= 9 /1,000 ANC attendance; after-intervention= 12/1,000 ANC attendance; P-value=0.010). In the intervention health centres, there was a decrease in the number of complications during labour by 1.1%, though the difference was not statistically significant (before-intervention =107/1,000 labour clients; after-intervention= 96/1,000 labour clients; P-value=0.305). Also, at the intervention health centres, the average cost per pregnancy complication detected during ANC (cost –effectiveness ratio) decreased from US$17,017.58 (before-intervention) to US$15,207.5 (after-intervention). Incremental cost –effectiveness ratio (ICER) was estimated at US$1,142. Considering only additional costs (cost of computer-assisted CDSS), cost per pregnancy complication detected was US$285. CONCLUSIONS: Computer –assisted CDSS has the potential to identify complications during pregnancy and marginal reduction in labour complications. Implementing computer-assisted CDSS is more costly but more effective in the detection of pregnancy complications compared to routine maternal care, hence making the decision to implement CDSS very complex. Policy makers should however be guided by whether the additional benefit is worth the additional cost. Public Library of Science 2015-05-14 /pmc/articles/PMC4431831/ /pubmed/25974093 http://dx.doi.org/10.1371/journal.pone.0125920 Text en © 2015 Dalaba et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Dalaba, Maxwell Ayindenaba
Akweongo, Patricia
Aborigo, Raymond Akawire
Saronga, Happiness Pius
Williams, John
Blank, Antje
Kaltschmidt, Jens
Sauerborn, Rainer
Loukanova, Svetla
Cost-Effectiveness of Clinical Decision Support System in Improving Maternal Health Care in Ghana
title Cost-Effectiveness of Clinical Decision Support System in Improving Maternal Health Care in Ghana
title_full Cost-Effectiveness of Clinical Decision Support System in Improving Maternal Health Care in Ghana
title_fullStr Cost-Effectiveness of Clinical Decision Support System in Improving Maternal Health Care in Ghana
title_full_unstemmed Cost-Effectiveness of Clinical Decision Support System in Improving Maternal Health Care in Ghana
title_short Cost-Effectiveness of Clinical Decision Support System in Improving Maternal Health Care in Ghana
title_sort cost-effectiveness of clinical decision support system in improving maternal health care in ghana
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431831/
https://www.ncbi.nlm.nih.gov/pubmed/25974093
http://dx.doi.org/10.1371/journal.pone.0125920
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