| Literature DB >> 29643744 |
Ichiro Arakawa1, Mikio Momoeda2,3, Yutaka Osuga4,3, Ikuko Ota5,3, Kaori Koga4,3.
Abstract
BACKGROUND ANDEntities:
Keywords: Cost-effectiveness; Dysmenorrhea; Endometriosis; Guideline-based intervention; Self-care
Year: 2018 PMID: 29643744 PMCID: PMC5891893 DOI: 10.1186/s12962-018-0097-8
Source DB: PubMed Journal: Cost Eff Resour Alloc ISSN: 1478-7547
Fig. 1The Markov model used to assess the cost-effectiveness of early medical intervention for dysmenorrhea and endometriosis. A simple Markov model with yearly transmission of five health states (dysmenorrhea, phase I/II endometriosis, phase III/IV endometriosis, cured, and other-cause death) with four sub-medical states (consultation, surgery, recurrence, and stay condition) was constructed based on standard therapeutic and empirical pathways with consensus from gynecologists
Parameters incorporated into the Markov model
| Parameters/utility measures | Valuables | Distribution | Source |
|---|---|---|---|
|
| |||
| Annual incidence of Dysmenorrhea | 0.0008–0.007 | Age-dependent | National Patient Survey (2011) [ |
| Progress from dysmenorrhea to endometriosis I/II | 18.4% | Beta | Taketani et al. (1997) [ |
| Natural healing in dysmenorrhea | 80% | – | Assumption:adjusted by calibration |
| Natural healing in endometriosis I/II | 40% | – | Assumption:adjusted by calibration |
| Natural healing in endometriosis III/IV | 80% | – | Assumption:adjusted by calibration |
| Recurrence | 22.2% | Beta | Taketani et al. (1997) [ |
| Visit proportion for dysmenorrhea | 0.03–0.5 | Age-dependent | Calculation from Taketani et al. (1997) [ |
| Visit proportion for endometriosis | 0.0124–0.0307 | Age-dependent | |
| Surgery for endometriosis | 6.0% | Normal | Tanaka et al. (2013) [ |
| Proportion of OTC use for self-medication | 87.1% | Normal | Tsutsumi et al. (2002) [ |
| Annual other-cause death | Age-dependent | – | Life-time table (2013) [ |
| Odds ratio for risk reduction in the development of endometriosis I/II | 0.40 | LogNor | Vessey et al. (1993) [ |
| Odds ratio for risk reduction in the progression to endometriosis III/IV | 0.10 | LogNor | Tutunaru et al. (2006) [ |
| Utility for dysmenorrhea | 0.637 | LogNor | Assumed that utility for dysmenorrhea is the same as that for endometriosis I/II |
| Utility for endometriosis I/II | 0.637 | LogNor | Institution-based QOL survey using visual analogue scales |
| Utility for endometriosis III/IV | 0.549 | LogNor | |
| Utility for cured | 1.000 | – | Assumption |
OTC over the counter, US$ 1 = approximately 120 JPY
a Complex cases were defined as cases diagnosed as either severe or extensive using the American Fertility Society Classification of Endometriosis (AFS Classification)
Fig. 2Model calibration and validation through comparison with realistic statistics. The simulation demonstrated the validity of the model in computing prevalence of approximately 210,000 cases with endometriosis, similar to that reported in a national survey (approx. 247,000a; Terakawa et al. [15]); however, a discrepancy in prevalence for age-groups of 35 years or more existed. anumber of patients with endometriosis plus adenomyosis
Cost-effectiveness and -benefit for the base case
| Group | Expected cost (JPY) | Expected effectiveness (QALYs) |
|---|---|---|
| (a) The base case from the perspective of healthcare payers | ||
| Guideline-based interventiona | 326,806 | 14.9 |
| Self-carea | 27,758 | 12.3 |
| Incremental | 299,048 | 2.6 |
The incremental cost-effectiveness ratio (ICER) was approximately 115 thousand JPY ($958) per quality-adjusted life-year (QALY) gained, retrospectively. Thus, the model simulation revealed that early physician consultation and guideline-based intervention would be more cost-effective than self-care, as the aforementioned ICER is below the willingness to pay (WTP) threshold
In the cost–benefit analysis, the aforementioned SMV favored early physician consultation and guideline-based intervention
a Medical direct costs, which were established from the National Health Insurance scheme, consist of outpatient visits (inclusive of drugs), inpatient care, and surgery
b Total costs consist of medical direct, non-medical and opportunity costs
Fig. 3Tornado diagram a The incremental cost-effectiveness ratio (ICER) Tornado diagram used to assess the robustness of the base case analysis from the perspective of healthcare payers. A Tornado diagram depicting the results of the stochastic sensitivity analysis for ICER revealed that the cure rate for dysmenorrhea resulting from the guideline-based intervention influenced the base case; however, the robustness of the base case was confirmed. Indices of parameters (a) A: Cure rate for dysmenorrhea (0.643 to 0.957). B: Odds ratio for the development of dysmenorrhea (0.2 to 0.7). C: Utility for endometriosis III/IV (0.15* to 0.557). D: Proportion of visits in patients with endometriosis (0.0 to 0.07). E: Progression to endometriosis I/II (0.179 to 0.189). F: Discount rate (0.01 to 0.05). G: Utility for dysmenorrhea (0.63 to 0.644). H: Recurrence of dysmenorrhea (0.206 to 0.239). J: Cure rate of endometriosis I/II (0.322 to 0.478). K: Utility for endometriosis I/II (0.63 to 0.644). *: To take into account worst case scenario, lower value of the utility measuring for endometriosis III/IV was derived from the external criteria [20]. b The incremental cost Tornado diagram used to assess the robustness of the base case analysis from the societal perspective. A Tornado diagram depicting the results of the stochastic sensitivity analysis for IC revealed that the discount rate resulting from the guideline-based intervention influenced the base case; however, the robustness of the base case was confirmed. Indices of parameters (b) A: Discount rate (0.01 to 0.05). B: Recurrence of dysmenorrhea (0.206 to 0.239). C: Cure rate of endometriosis I/II (0.322 to 0.478). D: Odds ratio for the development of dysmenorrhea (0.2 to 0.7). E: Progression to endometriosis I/II (0.179 to 0.189). F: Cure rate for dysmenorrhea (0.643 to 0.957). G: Proportion of visits in patients with endometriosis (0.0 to 0.07)
Fig. 4Cost-effectiveness acceptability curve for early medical intervention in dysmenorrhea and endometriosis from the perspective of healthcare payers. The results of a probabilistic analysis with 10,000-time Monte Carlo simulations are illustrated by cost-effectiveness acceptability curves and demonstrated the efficacy of medical intervention at a willingness to pay threshold of less than a million JPY per quality-adjusted life-year gained in more than 90% of the population