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Screening for Atrial Fibrillation in Sub-Saharan Africa: A Health Economic Evaluation to Assess the Feasibility in Nigeria Cover

Screening for Atrial Fibrillation in Sub-Saharan Africa: A Health Economic Evaluation to Assess the Feasibility in Nigeria

Open Access
|Dec 2021

Figures & Tables

gh-16-1-893-g1.png
Figure 1

Decision tree for the atrial fibrillation screening procedure.

gh-16-1-893-g2.png
Figure 2

Health states included in the Markov model evaluating life time events in newly diagnosed atrial fibrillation patients. All patients start in the AF state (left).

Table 1

Event probabilities per 6 months for major health states included in the Markov model.

Event6-month probabilityReference
Stroke (Ischemic stroke and intracranial haemorrhage)0.0108Temu et al. [19]
Stroke acute death0.0023Alkali et al. [20]
Post stroke death0.1751Alkali et al. [20]
Major bleeding0.0013Hart et al. [21]
Major bleeding acute death0.0001Hart et al. [21]
All-cause mortalityAge-dependentStatistics Nigeria (23)
Table 2

Relative risk in events probability in patients using oral anticoagulation.

EventRelative Risk Reduction
Stroke0.38
Bleeding0.74
Mortality2.40
Table 3

Health states and utilities included in the Markov model.

Health stateUtilityReference
Atrial fibrillation0.8430Sullivan et al. [26]
Acute stroke0.3280Baeten et al. [27]
Post stroke0.5490Baeten et al. [27]
Major bleeding0.8140Wang et al. [25]
Table 4

Overview of model input cost parameters.

Event costsAmount (int$) per 6 monthsReference
Acute stroke$938Birabi et al [18]
Post stroke$6WHO CHOICE, Assumption [29]
Stroke death$1,126Birabi et al. [18]
Major bleeding$195WHO CHOICE, Assumption [29]
Major bleeding death$778WHO CHOICE, Assumption [29]
All-cause mortality$0N.A.
Treatment costsAmount (int$) per 6 months
NOAC$448Costs for dabigatran (local input)
Warfarin$17Based on 5 mg/day (local input)
INR monitoring$30Assumption
Table 5

Total costs, quality-adjusted life years (QALYs) and incremental cost-effectiveness ratio (ICER) over life-time horizon in 126,746 newly detected AF cases with 100% NOAC use.

DiscountedQALYsLysCostsICER
On treatment232,259281,456$192,770,261
No treatment219,157269,191$27,857,047
Δ13,10212,266$164,913,214$12,587/QALY
UndiscountedQALYsLYsCostsICER
On treatment304,278372,325$250,577,298
No treatment284,176350,724$40,398,697
Δ20,10221,602$210,178,601$10,456/QALY
gh-16-1-893-g3.png
Figure 3

Cost-effectiveness plane showing 10,000 Monte Carlo estimates of incremental costs per patient and benefits per patient of AF screening compared to no screening. Points falling above the linear line have an ICER > $2,000 per QALY gained. Top cloud = 100% NOAC, middle cloud = 50%:50% NOAC:VKA (warfarin), lower cloud = 100% VKA.

Table 6

Results of the sensitivity analyses with 100% NOAC treatment.

Scenario descriptionLower value ICER (US$/QALY)Upper value ICER (US$/QALY)
Stroke event probability (50–150%)$31,063$7,993
Age (45–65 years)$10,067$16,490
Stroke utility (50–150%)$10,728$15,226
Pulse palpation for screening (21.0 M€)$13,280
Relative risk events on NOAC *$14,528
Stroke costs (50–150%)$12,885$12,289
AF prevalence (0.5–4%)$13,087$12,212
Screening costs (50–150%)$12,310$12,864
DOI: https://doi.org/10.5334/gh.893 | Journal eISSN: 2211-8179
Language: English
Submitted on: Aug 1, 2020
Accepted on: Nov 5, 2021
Published on: Dec 3, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 M. S. Jacobs, A. M. Adeoye, M. O. Owolabi, R. G. Tieleman, M. J. Postma, M. Van Hulst, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.