Cost-effectiveness analysis of Smart Triage, a data-driven pediatric sepsis triage platform in Eastern Uganda.

Cost-effectiveness analysis Economic evaluation Low-middle income country Pediatric sepsis Sepsis Triage

Journal

BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677

Informations de publication

Date de publication:
31 Aug 2023
Historique:
received: 31 03 2023
accepted: 28 08 2023
medline: 4 9 2023
pubmed: 1 9 2023
entrez: 31 8 2023
Statut: epublish

Résumé

Sepsis, characterized by organ dysfunction due to presumed or proven infection, has a case-fatality over 20% in severe cases in low-and-middle income countries. Early diagnosis and treatment have proven benefits, prompting our implementation of Smart Triage at Jinja Regional Referral Hospital in Uganda, a program that expedites treatment through a data-driven triage platform. We conducted a cost-effectiveness analysis of Smart Triage to explore its impact on patients and inform multicenter scale up. The parent clinical trial for Smart Triage was pre-post in design, using the proportion of children receiving sepsis treatment within one hour as the primary outcome, a measure linked to mortality benefit in existing literature. We used a decision-analytic model with Monte Carlo simulation to calculate the cost per year-of-life-lost (YLL) averted of Smart Triage from societal, government, and patient perspectives. Healthcare utilization and lost work for seven days post-discharge were translated into costs and productivity losses via secondary linkage data. In 2021 United States dollars, Smart Triage requires an annuitized program cost of only $0.05 per child, but results in $15.32 saved per YLL averted. At a willingness-to-pay threshold of only $3 per YLL averted, well below published cost-effectiveness threshold estimates for Uganda, Smart Triage approaches 100% probability of cost-effectiveness over the baseline manual triage system. This cost-effectiveness was observed from societal, government, and patient perspectives. The cost-effectiveness observed was driven by a reduction in admission that, while explainable by an improved triage mechanism, may also be partially attributable to changes in healthcare utilization influenced by the coronavirus pandemic. However, Smart Triage remains cost-effective in sensitivity analyses introducing a penalty factor of up to 50% in the reduction in admission. Smart Triage's ability to both save costs and avert YLLs indicates that patients benefit both economically and clinically, while its high probability of cost-effectiveness strongly supports multicenter scale up. Areas for further research include the incorporation of years lived with disability when sepsis disability weights in low-resource settings become available and analyzing budget impact during multicenter scale up. NCT04304235 (registered on 11/03/2020, clinicaltrials.gov).

Sections du résumé

BACKGROUND BACKGROUND
Sepsis, characterized by organ dysfunction due to presumed or proven infection, has a case-fatality over 20% in severe cases in low-and-middle income countries. Early diagnosis and treatment have proven benefits, prompting our implementation of Smart Triage at Jinja Regional Referral Hospital in Uganda, a program that expedites treatment through a data-driven triage platform. We conducted a cost-effectiveness analysis of Smart Triage to explore its impact on patients and inform multicenter scale up.
METHODS METHODS
The parent clinical trial for Smart Triage was pre-post in design, using the proportion of children receiving sepsis treatment within one hour as the primary outcome, a measure linked to mortality benefit in existing literature. We used a decision-analytic model with Monte Carlo simulation to calculate the cost per year-of-life-lost (YLL) averted of Smart Triage from societal, government, and patient perspectives. Healthcare utilization and lost work for seven days post-discharge were translated into costs and productivity losses via secondary linkage data.
RESULTS RESULTS
In 2021 United States dollars, Smart Triage requires an annuitized program cost of only $0.05 per child, but results in $15.32 saved per YLL averted. At a willingness-to-pay threshold of only $3 per YLL averted, well below published cost-effectiveness threshold estimates for Uganda, Smart Triage approaches 100% probability of cost-effectiveness over the baseline manual triage system. This cost-effectiveness was observed from societal, government, and patient perspectives. The cost-effectiveness observed was driven by a reduction in admission that, while explainable by an improved triage mechanism, may also be partially attributable to changes in healthcare utilization influenced by the coronavirus pandemic. However, Smart Triage remains cost-effective in sensitivity analyses introducing a penalty factor of up to 50% in the reduction in admission.
CONCLUSION CONCLUSIONS
Smart Triage's ability to both save costs and avert YLLs indicates that patients benefit both economically and clinically, while its high probability of cost-effectiveness strongly supports multicenter scale up. Areas for further research include the incorporation of years lived with disability when sepsis disability weights in low-resource settings become available and analyzing budget impact during multicenter scale up.
TRIAL REGISTRATION BACKGROUND
NCT04304235 (registered on 11/03/2020, clinicaltrials.gov).

Identifiants

pubmed: 37653477
doi: 10.1186/s12913-023-09977-5
pii: 10.1186/s12913-023-09977-5
pmc: PMC10468891
doi:

Banques de données

ClinicalTrials.gov
['NCT04304235']

Types de publication

Multicenter Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

932

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 215695/B/19/Z
Pays : United Kingdom

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Edmond C K Li (ECK)

Department of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, BC, Canada. edmond.li@alumni.ubc.ca.
Department of Anesthesiology, Royal Columbian Hospital, Vancouver, BC, Canada. edmond.li@alumni.ubc.ca.

Abner Tagoola (A)

Jinja Regional Referral Hospital, Jinja, Uganda.

Clare Komugisha (C)

World Alliance for Lung and Intensive Care Medicine in Uganda, Kololo, Kampala, Uganda.

Annette Mary Nabweteme (AM)

World Alliance for Lung and Intensive Care Medicine in Uganda, Kololo, Kampala, Uganda.

Yashodani Pillay (Y)

Department of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, BC, Canada.
Center for International Child Health, British Columbia Children's Hospital, Vancouver, BC, Canada.

J Mark Ansermino (JM)

Department of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, BC, Canada.
Center for International Child Health, British Columbia Children's Hospital, Vancouver, BC, Canada.

Asif R Khowaja (AR)

Faculty of Applied Health Sciences, Brock University, St. Catharines, ON, Canada.

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