Cost-effectiveness of left atrial appendage closure for stroke prevention in atrial fibrillation: a systematic review appraising the methodological quality.

Atrial fibrillation Cost-effectiveness Left atrial appendage closure Left atrial appendage occlusion Methodological quality Novel oral anticoagulants Oral anticoagulants Stroke prevention Warfarin

Journal

Cost effectiveness and resource allocation : C/E
ISSN: 1478-7547
Titre abrégé: Cost Eff Resour Alloc
Pays: England
ID NLM: 101170476

Informations de publication

Date de publication:
23 Oct 2023
Historique:
received: 23 03 2023
accepted: 10 10 2023
medline: 24 10 2023
pubmed: 24 10 2023
entrez: 23 10 2023
Statut: epublish

Résumé

The increasing global prevalence of atrial fibrillation (AF) has led to a growing demand for stroke prevention strategies, resulting in higher healthcare costs. High-quality economic evaluations of stroke prevention strategies can play a crucial role in maximising efficient allocation of resources. In this systematic review, we assessed the methodological quality of such economic evaluations. We searched electronic databases of PubMed, EMBASE, CINAHL, Cochrane Central Register of Controlled Trials, and Econ Lit to identify model-based economic evaluations comparing the left atrial appendage closure procedure (LAAC) and oral anticoagulants published in English since 2000. Data on study characteristics, model-based details, and analyses were collected. The methodological quality was evaluated using the modified Economic Evaluations Bias (ECOBIAS) checklist. For each of the 22 biases listed in this checklist, studies were categorised into one of four groups: low risk, partial risk, high risk due to inadequate reporting, or high risk. To gauge the overall quality of each study, we computed a composite score by assigning + 2, 0, - 1 and - 2 to each risk category, respectively. In our analysis of 12 studies, majority adopted a healthcare provider or payer perspective and employed Markov Models with the number of health states varying from 6 to 16. Cost-effectiveness results varied across studies. LAAC displayed a probability exceeding 50% of being the cost-effective option in six out of nine evaluations compared to warfarin, six out of eight evaluations when compared to dabigatran, in three out of five evaluations against apixaban, and in two out of three studies compared to rivaroxaban. The methodological quality scores for individual studies ranged from 10 to - 12 out of a possible 24. Most high-risk ratings were due to inadequate reporting, which was prevalent across various biases, including those related to data identification, baseline data, treatment effects, and data incorporation. Cost measurement omission bias and inefficient comparator bias were also common. While most studies concluded LAAC to be the cost-effective strategy for stroke prevention in AF, shortcomings in methodological quality raise concerns about reliability and validity of results. Future evaluations, free of these shortcomings, can yield stronger policy evidence.

Sections du résumé

BACKGROUND BACKGROUND
The increasing global prevalence of atrial fibrillation (AF) has led to a growing demand for stroke prevention strategies, resulting in higher healthcare costs. High-quality economic evaluations of stroke prevention strategies can play a crucial role in maximising efficient allocation of resources. In this systematic review, we assessed the methodological quality of such economic evaluations.
METHODS METHODS
We searched electronic databases of PubMed, EMBASE, CINAHL, Cochrane Central Register of Controlled Trials, and Econ Lit to identify model-based economic evaluations comparing the left atrial appendage closure procedure (LAAC) and oral anticoagulants published in English since 2000. Data on study characteristics, model-based details, and analyses were collected. The methodological quality was evaluated using the modified Economic Evaluations Bias (ECOBIAS) checklist. For each of the 22 biases listed in this checklist, studies were categorised into one of four groups: low risk, partial risk, high risk due to inadequate reporting, or high risk. To gauge the overall quality of each study, we computed a composite score by assigning + 2, 0, - 1 and - 2 to each risk category, respectively.
RESULTS RESULTS
In our analysis of 12 studies, majority adopted a healthcare provider or payer perspective and employed Markov Models with the number of health states varying from 6 to 16. Cost-effectiveness results varied across studies. LAAC displayed a probability exceeding 50% of being the cost-effective option in six out of nine evaluations compared to warfarin, six out of eight evaluations when compared to dabigatran, in three out of five evaluations against apixaban, and in two out of three studies compared to rivaroxaban. The methodological quality scores for individual studies ranged from 10 to - 12 out of a possible 24. Most high-risk ratings were due to inadequate reporting, which was prevalent across various biases, including those related to data identification, baseline data, treatment effects, and data incorporation. Cost measurement omission bias and inefficient comparator bias were also common.
CONCLUSIONS CONCLUSIONS
While most studies concluded LAAC to be the cost-effective strategy for stroke prevention in AF, shortcomings in methodological quality raise concerns about reliability and validity of results. Future evaluations, free of these shortcomings, can yield stronger policy evidence.

Identifiants

pubmed: 37872572
doi: 10.1186/s12962-023-00486-0
pii: 10.1186/s12962-023-00486-0
pmc: PMC10591401
doi:

Types de publication

Journal Article

Langues

eng

Pagination

76

Informations de copyright

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

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Auteurs

Sumudu A Hewage (SA)

Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, Queensland University of Technology, No.61, Musk Avenue, Kelvin Grove, QLD, 4059, Australia. sumuduavanthi@gmail.com.

Rini Noviyani (R)

Department of Pharmacy, Udayana University, Bali, Indonesia.

David Brain (D)

Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, Queensland University of Technology, No.61, Musk Avenue, Kelvin Grove, QLD, 4059, Australia.

Pakhi Sharma (P)

Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, Queensland University of Technology, No.61, Musk Avenue, Kelvin Grove, QLD, 4059, Australia.

William Parsonage (W)

Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, Queensland University of Technology, No.61, Musk Avenue, Kelvin Grove, QLD, 4059, Australia.
Cardiology department, Royal Brisbane and Women's Hospital, Herston, QLD, Australia.

Steven M McPhail (SM)

Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, Queensland University of Technology, No.61, Musk Avenue, Kelvin Grove, QLD, 4059, Australia.
Digital Health and Informatics Directorate, Metro South Health, Brisbane, QLD, Australia.

Adrian Barnett (A)

Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, Queensland University of Technology, No.61, Musk Avenue, Kelvin Grove, QLD, 4059, Australia.

Sanjeewa Kularatna (S)

Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, Queensland University of Technology, No.61, Musk Avenue, Kelvin Grove, QLD, 4059, Australia.

Classifications MeSH