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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

Author

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  • Maxwell Ayindenaba Dalaba
  • Patricia Akweongo
  • John Williams
  • Happiness Pius Saronga
  • Pencho Tonchev
  • Rainer Sauerborn
  • Nathan Mensah
  • Antje Blank
  • Jens Kaltschmidt
  • Svetla Loukanova

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.

Suggested Citation

  • Maxwell Ayindenaba Dalaba & Patricia Akweongo & John Williams & Happiness Pius Saronga & Pencho Tonchev & Rainer Sauerborn & Nathan Mensah & Antje Blank & Jens Kaltschmidt & Svetla Loukanova, 2014. "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," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-10, September.
  • Handle: RePEc:plo:pone00:0106416
    DOI: 10.1371/journal.pone.0106416
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    Cited by:

    1. Antoine Richard & Brice Mayag & François Talbot & Alexis Tsoukias & Yves Meinard, 2020. "What does it mean to provide decision support to a responsible and competent expert?," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 8(3), pages 205-236, November.
    2. Maxwell Ayindenaba Dalaba & Patricia Akweongo & Raymond Akawire Aborigo & Happiness Pius Saronga & John Williams & Antje Blank & Jens Kaltschmidt & Rainer Sauerborn & Svetla Loukanova, 2015. "Cost-Effectiveness of Clinical Decision Support System in Improving Maternal Health Care in Ghana," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-12, May.

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