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Costs Associated with Implementation of Computer- Assisted Clinical Decision Support System for Antenatal and Delivery Care: Case Study of Kassena-Nankana District of Northern Ghana

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dc.contributor.author Dalaba, Maxwell Ayindenaba
dc.contributor.author Akweongo, Patricia
dc.contributor.author Williams, John
dc.contributor.author Saronga, Happiness Pius
dc.contributor.author Tonchev, Pencho
dc.contributor.author Sauerborn, Rainer
dc.contributor.author Mensah, Nathan
dc.contributor.author Blank, Antje
dc.contributor.author Kaltschmidt, Jens
dc.contributor.author Loukanova, Svetla
dc.date.accessioned 2023-10-05T11:10:41Z
dc.date.available 2023-10-05T11:10:41Z
dc.date.issued 2014-09-02
dc.identifier.uri http://hdl.handle.net/123456789/9055
dc.description.abstract Objective: This study analyzed cost of implementing computer-assisted Clinical Decision Support System (CDSS) in selected health care centres in Ghana. Methods: A descriptive cross sectional study was conducted in the Kassena-Nankana district (KND). CDSS was deployed in selected health centres in KND as an intervention to manage patients attending antenatal clinics and the labour ward. The CDSS users were mainly nurses who were trained. Activities and associated costs involved in the implementation of CDSS (pre-intervention and intervention) were collected for the period between 2009–2013 from the provider perspective. The ingredients approach was used for the cost analysis. Costs were grouped into personnel, trainings, overheads (recurrent costs) and equipment costs (capital cost). We calculated cost without annualizing capital cost to represent financial cost and cost with annualizing capital costs to represent economic cost. Results: Twenty-two trained CDSS users (at least 2 users per health centre) participated in the study. Between April 2012 and March 2013, users managed 5,595 antenatal clients and 872 labour clients using the CDSS. We observed a decrease in the proportion of complications during delivery (pre-intervention 10.74% versus post-intervention 9.64%) and a reduction in the number of maternal deaths (pre-intervention 4 deaths versus post-intervention 1 death). The overall financial cost of CDSS implementation was US$23,316, approximately US$1,060 per CDSS user trained. Of the total cost of implementation, 48% (US$11,272) was pre-intervention cost and intervention cost was 52% (US$12,044). Equipment costs accounted for the largest proportion of financial cost: 34% (US$7,917). When economic cost was considered, total cost of implementation was US$17,128–lower than the financial cost by 26.5%. Conclusions: The study provides useful information in the implementation of CDSS at health facilities to enhance health workers’ adherence to practice guidelines and taking accurate decisions to improve maternal health care. en_US
dc.language.iso en en_US
dc.publisher PLOS ONE | en_US
dc.title Costs Associated with Implementation of Computer- Assisted Clinical Decision Support System for Antenatal and Delivery Care: Case Study of Kassena-Nankana District of Northern Ghana en_US
dc.type Article en_US


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