| Literature DB >> 31150406 |
Tannia Tembo1, Michelo Simuyandi1, Kanema Chiyenu1, Anjali Sharma1, Obvious N Chilyabanyama1, Clara Mbwili-Muleya2, Mazyanga Lucy Mazaba3, Roma Chilengi1.
Abstract
INTRODUCTION: In 2016, for the very first time, the Ministry of Health in Zambia implemented a reactive outbreak response to control the spread of cholera and vaccinated at-risk populations with a single dose of Shancol-an oral cholera vaccine (OCV). This study aimed to assess the costs of cholera illness and determine the cost-effectiveness of the 2016 vaccination campaign.Entities:
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Year: 2019 PMID: 31150406 PMCID: PMC6544210 DOI: 10.1371/journal.pone.0215972
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Expenditure components and sources of data for health system and household costs.
| Cost component | Description of Costs | Source |
|---|---|---|
| Vaccine delivery | Vaccine purchase, freight, insurance and cold-chain management, transport, storage | Reports from LDHO and MSF |
| Social mobilisation and sensitisation | Training (conference package, materials), public address, dissemination and leaflets | |
| Staff incentives | Transport, lunch and per diems | Finance and Human Resources records |
| Other | Motor vehicles, waste management, stationery, communication, equipment and consumables | Reports from LDHO and MSF |
| Fixed costs | Ward supplies—Tents, beds, blankets, buckets, waste bins, sharp boxes | Reports from LDHO and MSF |
| Allowances | Financial records, | |
| interviews with staff at CTCs | ||
| Variable costs | Personal protective equipment—Work-suits, gumboots, gloves, aprons, laboratory coats | Stock cards |
| Water sampling kits | ||
| Laboratory supplies—RDT Bioline tests, reagents, swabs, cannulas, needles | ||
| Pharmacy supplies—Antibiotics, ORS, fluids | Bin cards and invoices from MSL | |
| Direct | Medical (consultation, drugs, consumables) and non-medical (accommodation, communication, transport) costs | Interviews with confirmed cases |
| Indirect | Productivity losses and opportunity costs | |
Parameter values assumed for computing cost-effectiveness of a vaccination campaign using a single dose of Shancol in Zambia.
| Description of Input | Value | Source of Data |
|---|---|---|
| Life expectancy at infection | 62 years | The World Bank, 2018 |
| Annual discount rate | 3% | Troeger et al., 2014 [ |
| Duration of immunity | 2 years | WHO, 2017 [ |
| Disability weight | 0.2% | Salomon et al., 2012 [ |
| GDP per Capita | US$1,500 | The World Bank [ |
| Vaccine effectiveness | 89% | Ferreras et al., 2018 [ |
| 63% | WHO, 2017; Ivers et al., 2016 [ | |
| Duration of cholera illness | 3 days | Derived from this analysis |
| Incidence | 2.5% | Derived from this analysis |
| Case fatality rate | 1.9% | Derived from this analysis |
| Vaccine purchase cost/dose | US$1.31 | Derived from this analysis |
| Vaccine delivery/ dose | US$0.41 | Poncin et al., 2018 [ |
| OCV coverage | 73.4% | Poncin et al., 2018 [ |
| Patients ≤15 years (Lower limit) | US$14.49 | Derived from this analysis |
| Patients ≤15 years (Upper limit) | US$18.03 | Derived from this analysis |
| Patients ≥15 years (Lower limit) | US$17.66 | Derived from this analysis |
| Patients ≥15 years (Upper limit) | US$35.16 | Derived from this analysis |
Selected characteristics of study participants and caregivers.
| Total (n = 189) | Percent (%) | |
|---|---|---|
| Male | 66 | 34.9 |
| Female | 123 | 65.1 |
| 1–15 years | 31 | 16.4 |
| 16–24 years | 41 | 21.7 |
| >24 years | 117 | 61.9 |
| Primary | 53 | 28.0 |
| Secondary | 107 | 56.6 |
| Tertiary | 10 | 5.3 |
| Never been to school | 19 | 10.1 |
| Employed | 16 | 8.5 |
| Work for self | 89 | 47.1 |
| Housework | 39 | 20.6 |
| Other | 45 | 23.8 |
| Private water source | 18 | 9.5 |
| Public water source | 171 | 90.5 |
| Individual flushing toilet | 6 | 3.2 |
| Common flushing toilet | 17 | 9.0 |
| Pit latrines | 166 | 87.8 |
| Cholera Treatment Centre | 47 | 24.8 |
| Public health centre | 16 | 8.5 |
| Other | 126 | 66.7 |
| Recovered | 182 | 96.3 |
| Still sick with cholera | 1 | 0.5 |
| CFR | 6 | 5.6 |
*a Data does not show income brackets of respondents
*b Includes patients in school or involved in leisure or play time
*c Public health centre /post did not have an established CTC
*d Includes visits to pharmacies, private health centres, traditional healers and use of low cost alcohol
*e CFR calculated for the study sample size
Costs incurred during hospitalisation.
| $0 | $0.1–$9.7 | $9.8–$48.41 | $48.52–$96.81 | |
|---|---|---|---|---|
| Communication | 166 (87.8) | 19 (10.1) | 4 (2.1) | 0 (0.0) |
| Consultation | 187 (98.9) | 2 (1.1) | 0 (0.0) | 0 (0.0) |
| Drugs and supplies | 188 (99.5) | 1 (0.5) | 0 (0.0) | 0 (0.0) |
| Food and beverages | 162 (85.7) | 28 (14.8) | 0 (0.0) | 0 (0.0) |
| Laboratory tests | 187 (98.9) | 2 (1.1) | 0 (0.0) | 0 (0.0) |
| Transport | 83 (43.9) | 96 (50.8) | 9 (4.8) | 1 (0.5) |
*a Respondents did not spend any amount on cost categories during hospitalisation
*b Local Currency Unit (LCU) converted to United States Dollar (US$) at an exchange rate of ZMW1:US$10.33 using mid-rate in 2016.
*c N = Total number of patients (out of 189 patients interviewed) that incurred costs during hospitalisation
Productivity losses during cholera outbreak.
| Total (n = 189) | Percent (%) | |
|---|---|---|
| 1–3 days | 134 | 70.9 |
| 4–7 days | 47 | 24.9 |
| >7 days | 8 | 4.2 |
| 0 days | 29 | 15.3 |
| 1–3 days | 85 | 45.0 |
| 4–7 days | 62 | 32.8 |
| >7 days | 13 | 6.9 |
| 1–3 days | 11 | 5.8 |
| 4–7 days | 22 | 11.6 |
| >7 days | 5 | 2.6 |
| No lost income | 151 | 79.9 |
| Yes | 123 | 65.1 |
| No | 66 | 33.3 |
| Yes | 2 | 1.1 |
| No | 187 | 98.9 |
| Sold personal property | 5 | 2.6 |
| Borrowed money | 31 | 16.4 |
| Used savings | 53 | 28.0 |
| Reduced expenses | 26 | 13.8 |
| No coping strategy | 74 | 39.2 |
Total direct costs incurred by the Ministry of Health and health facilities during cholera outbreak.
| Characteristic | Cost (US$) | Total (%) |
|---|---|---|
| Disinfectants | 143 010 | 20.7 |
| Personal protective equipment | 96 214 | 14.0 |
| Water sampling kits | 38 265 | 5.7 |
| Laboratory supplies | 113 061 | 16.4 |
| Rehydration fluids | 16 881 | 2.5 |
| Drugs and ward supplies | 222 040 | 32.2 |
| Other | 58 468 | 8.5 |
Base-case estimates for cost-effectiveness of vaccination with single dose of Shancol.
| Cost of vaccination | 89% Vaccine Effectiveness | 63% Vaccine Effectiveness | ||||||
|---|---|---|---|---|---|---|---|---|
| Patients ≤15 Years old | Patients ≥15 Years Old | Patients ≤15 Years old | Patients ≥15 Years Old | |||||
| Cases and deaths averted | 1885 | 1885 | 1336 | 1336 | ||||
| DALYs averted | 996 | 996 | 706 | 706 | ||||
| Doses per case averted | 225 | 225 | 317 | 317 | ||||
| Doses per death averted | 11 841 | 11 841 | 16 708 | 16 708 | ||||
| Total cost | 729,452 | 729,452 | 729,452 | 729,452 | ||||
| US$14.49 | US$18.03 | US$17.66 | US$35.16 | US$14.49 | US$18.03 | US$17.66 | US$35.16 | |
| Cost averted | 27 315 | 33 989 | 33 291 | 66 281 | 19 357 | 24 087 | 23 592 | 46 971 |
| Net cost | 702 137 | 695 463 | 696 1601 | 663 171 | 710 095 | 705 365 | 705 860 | 682 481 |
| Cost per case averted | 372 | 369 | 369 | 352 | 532 | 528 | 529 | 511 |
| Cost per life saved | 19 603 | 19 417 | 19 436 | 18 515 | 27 976 | 27 790 | 27 809 | 26 888 |
| Total cost per DALY averted | 705 | 698 | 699 | 666 | 1 006 | 1 000 | 1 000 | 967 |
*a Total cases averted, DALYs averted and doses required to avert a single case of and death due to cholera are different across vaccine effectiveness but the same across ages distribution
*b Total cost of vaccination campaign was the same across age distribution and vaccine effectiveness
a,b Cost of treatment with Erythromycin and Azythromycin suspension for patients ≤15 years old
c,d Cost of treatment with Ciprofloxacin and Azythromycin tablets for patients ≥15 years old