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 from the providers 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 /1000 ANC attendance; after-intervention = 12/1000 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 =107/1000 labour clients; after-intervention = 96/1000 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$17017.58 (before-intervention) to US$15207.5 (after-intervention). Incremental cost -effectiveness ratio (ICER) was estimated at US$1142. 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.