* The basis f or the assumed risk is provided in f ootnotes. The corresponding risk (and its 95% conf idence interval) is based on the assum ed risk in the com parison group and the relative effect of the intervention (and its 95% CI). ARR: absolute risk reduction; CI: conf idence interval; NNTB: num ber needed to treat f or an additional benef icial outcom e; RR: risk ratio.; WDAE: withdrawal due to adverse ef f ects. GRADE Working Group grades of evidence High quality: Further research is very unlikely to change our conf idence in the estim ate of ef f ect. M oderate quality: Further research is likely to have an im portant im pact on our conf idence in the estim ate of ef f ect and m ay change the estim ate. Low quality: Further research is very likely to have an im portant im pact on our conf idence in the estim ate of ef f ect and is likely to change the estim ate. Very low quality: We are very uncertain about the estim ate. 3 Angiotensin converting enzyme (ACE) inhibitors versus angiotensin receptor blockers for primary hypertension (Review)
This review provides moderate-quality evidence that coenzyme Q10 does not have a clinically significant effect on blood pressure. In one of three trials reporting adverse effects, coenzyme Q10 was well tolerated. Due to the small number of individuals and studies available for analysis, more well-conducted trials are needed.
Background
Sepsis is a clinical syndrome characterized by organ dysfunction due to presumed or proven infection. Severe cases can have case fatality ratio 25% or higher in low-middle income countries, but early diagnosis and timely treatment have a proven benefit. The Smart Triage program in Jinja Regional Referral Hospital in Uganda will provide expedited sepsis treatment in children through a data-driven electronic patient triage system. To complement the ongoing Smart Triage interventional trial, we propose methods for a concurrent cost-effectiveness analysis of the Smart Triage platform.
Methods
We will use a decision-analytic model taking a societal perspective, combining government and out-of-pocket costs, as patients bear a sizeable portion of healthcare costs in Uganda due to the lack of universal health coverage. Previously published secondary data will be used to link healthcare utilization with costs and intermediate outcomes with mortality. We will model uncertainty via probabilistic sensitivity analysis and present findings at various willingness-to-pay thresholds using a cost-effectiveness acceptability curve.
Discussion
Our proposed analysis represents a first step in evaluating the cost-effectiveness of an innovative digital triage platform designed to improve clinical outcomes in pediatric sepsis through expediting care in low-resource settings. Our use of a decision analytic model to link secondary costing data, incorporate post-discharge healthcare utilization, and model clinical endpoints is also novel in the pediatric sepsis triage literature for low-middle income countries. Our analysis, together with subsequent analyses modelling budget impact and scale up, will inform future modifications to the Smart Triage platform, as well as motivate scale-up to the district and national levels.
Trial registration
Trial registration of parent clinical trial: NCT04304235, https://clinicaltrials.gov/ct2/show/NCT04304235. Registered 11 March 2020.
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