| Literature DB >> 21978107 |
Kenzo Takahashi1, Yasushi Ohkusa, Jong-Young Kim.
Abstract
BACKGROUND: During 1999-2003, Japan experienced a series of measles epidemics, and in Action Plans to Control Measles and the Future Problems, it was proposed that infants be immunized soon after their one-year birthday.In this study, we attempted to estimate the nationwide economic disease burden of measles based on clinical data and the economic effectiveness of this proposal using the benefit cost ratio.Entities:
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Year: 2011 PMID: 21978107 PMCID: PMC3217873 DOI: 10.1186/1472-6963-11-254
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Figure 1Reported Number of Measles Patients.
Definition of costs and benefits
| Costs | Direct Costs | Vaccination Fee |
|---|---|---|
| Indirect Costs | Work days lost for immunization | |
| Benefits | Reduction of direct costs | Medical treatment fee(including admission fee) |
| Reduction of indirect costs | Work days lost by patients and family members | |
Estimation of Wage Function
| Explanatory | Male | Female | Part-time worker** | |||||
|---|---|---|---|---|---|---|---|---|
| Estimated | Probability | Estimated | Probability | Estimated | Probability | Estimated | Probability | |
| Age | 0.106 | 0.000 | 0.0480 | 0.000 | 0.001 | 0.756 | 0.0003 | 0.687 |
| Age2 | -1.08 × 10-3 | 0.000 | -5.55 × 10-4 | 0.000 | -1.70 × 10-5 | 0.804 | ||
| Constant term | 3.42 | 0.000 | 4.41 | 0.000 | 6.743 | 0.000 | 6.77 | 0.000 |
| No. of Samples* | 12 | 12 | 12 | 12 | ||||
| F static | 169 | 37.6 | 0.110 | 0.170 | ||||
| Probability | = < 0.000 | = < 0.000 | 0.896 | 0.687 | ||||
| Coefficient of determination | 0.976 | 0.893 | 0.024 | 0.016 | ||||
| 0.971 | 0.869 | -0.193 | -0.081 | |||||
Note that Table 2 is cited in the additional file 1(Technical Annex).
For regular employee, explained variable is log (prescribed monthly salary/1,000)
For part-time worker, explained variable is log (prescribed per-hour wage)
*The value 12 quotes the 12 age classification used in census of earnings.
** 2 estimated values of Part-time worker mean that part time worker's wage is not expressed by the function of age respectively
Estimation of the indirect cost function of patient attendance
| Explanatory variable | Estimated Value | Probability | Estimated Value | Probability | Estimated Value | Probability | Estimated Value | Probability |
|---|---|---|---|---|---|---|---|---|
| Patient' age | 0.0223 | 0.0300 | -0.0345 | 0.189 | 0.00380 | 0.934 | ||
| Patient' age 2 | 1.00 × 10-4 | 0.669 | 4.03 × 10-3 | 0.0170 | 1.80 × 10-3 | 0.000 | -5.00 × 10-4 | 0.905 |
| Patient' age 3 | -6.600 × 10-5 | 0.0190 | -3.10 × 10-5 | 4.00 × 10-2 | 0.0011 | 0.529 | ||
| Patient' age 4 | -2.16 × 10-6 | 0.311 | ||||||
| Constant term | 8.65 | 0.000 | 8.73 | 0.000 | 8.67 | 0.000 | 8.69 | 0.000 |
| No. of samples | 99 | 99 | 99 | 99 | ||||
| F statistic | 48.8 | 36.5 | 53.3 | 27.2 | ||||
| Probability | = < 0.000 | = < 0.000 | = < 0.000 | = < 0.000 | ||||
Note that Table 3 is cited in the additional file 1(Technical Annex).
99 samples were selected based on data reliability of age and employment status.
One sample was omitted because parental age and employment status were unclear.
Figure 2Age distribution of whole patients.
Figure 3Distribution of treatment cost of outpatients.
Figure 4Distribution of treatment cost of inpatients.
Distribution of costs for measles treatment and vaccination for whole Japan
| Whole cost | Direct cost | Indirect cost | ||
|---|---|---|---|---|
| Measles Treatment | Mean | 404.7 | 394.4 | 10.4 |
| Minimum | 76.3 | 76.3 | 0.0 | |
| 25% | 86.2 | 85.8 | 0.4 | |
| Median | 174.0 | 171.6 | 2.4 | |
| 75% | 198.3 | 191.2 | 7.2 | |
| Maximum | 2,550.4 | 2,515.5 | 34.9 | |
| Vaccination | Mean | 165.1 | 163.1 | 1.9 |
| Minimum | 154.8 | 153.4 | 1.4 | |
| 25% | 154.8 | 153.4 | 1.4 | |
| Median | 155.6 | 153.4 | 2.3 | |
| 75% | 193.4 | 191.1 | 2.3 | |
| Maximum | 210.9 | 209.4 | 1.5 | |
The unit of the table is per million US$ (1 US$ = 118.8 yen)
Direct and indirect costs for measles treatment of vaccination were estimated by sensitivity analysis.
The result of sensitivity analysis showed negatively skewed distribution.
Sensitivity analysis of BCR (Benefit Cost Ratio)
| Total No. of Patients | Case Fatality Rate | % of Admission (adults) | % of Admission | Vaccine cost | Discount Rate | BCR |
|---|---|---|---|---|---|---|
| 10 | 1 | 80 | 30 | 5 | 0 | |
| 15 | 1 | 80 | 30 | 5 | 0 | 3.63 |
| 20 | 1 | 80 | 30 | 5 | 0 | 4.97 |
| 10 | 1 | 80 | 30 | 5 | 1 | 2.21 |
| 10 | 5 | 80 | 30 | 5 | 0 | 2.69 |
| 10 | 10 | 80 | 30 | 5 | 0 | 2.43 |
| 10 | 1 | 70 | 30 | 5 | 0 | 2.30 |
| 10 | 1 | 90 | 30 | 5 | 0 | 2.53 |
| 10 | 1 | 80 | 40 | 5 | 0 | 2.62 |
| 10 | 1 | 80 | 50 | 5 | 0 | 2.56 |
| 10 | 1 | 80 | 30 | 4 | 0 | 2.58 |
| 10 | 1 | 80 | 30 | 6 | 0 | 2.27 |
| 10 | 1 | 80 | 30 | 5 | 3 | 2.35 |
Note: The underlined BCR value indicates the BCR for base case.