Literature DB >> 33402172

A cost analysis to address issues of budget constraints on the implementation of the indoor residual spray programme in two districts of Maputo Province, Mozambique.

Neide Canana1.   

Abstract

BACKGROUND: It is frequently said that funding is essential to ensure optimal results from a malaria intervention control. However, in recent years, the capacity of the government of Mozambique to sustain the operational cost of indoor residual spraying (IRS) is facing numerous challenges due to restrictions of the Official Development Assistance. The purpose of the study was to estimate the cost of IRS operationalization in two districts of Maputo Province (Matutuíne and Namaacha) in Mozambique. The evidence produced in this study intends to provide decision-makers with insight into where they need to pay close attention in future planning in order to operationalize IRS with the existent budget in the actual context of budget restrictions.
METHODS: Cost information was collected retrospectively from the provider perspective, and both economic and financial costs were calculated. A "one-way" deterministic sensitivity analysis was performed.
RESULTS: The average economic costs totaled US$117,351.34, with an average economic cost per household sprayed of US$16.35, and an average economic cost per person protected of US$4.09. The average financial cost totaled US$69,174.83, with an average financial cost per household sprayed and per person protected of US$9.84 and US$2.46, respectively. Vehicle, salary, and insecticide costs were the greatest contributors to overall cost in the economic and financial analysis, corresponding to 52%, 17%, and 13% in the economic analysis and 21%, 27%, and 22% in the financial analysis, respectively. The sensitivity analysis was adapted to a range of ± (above and under) 25% change. There was an approximate change of 14% in the average economic cost when vehicle costs were decreased by 25%. In the financial analysis, the average financial cost was lowered by 7% when salary costs were decreased by 25%.
CONCLUSIONS: Altogether, the current cost analysis provides an impetus for the consideration of targeted IRS operationalization within the available governmental budget, by using locally-available human resources as spray operators to decrease costs and having IRS rounds be correctly timed to coincide with the build-up of vector populations.

Entities:  

Keywords:  Budget restriction; Cost analysis; Government budget; Indoor residual spray; Intervention operationalization; Mozambique; Official development assistance

Mesh:

Substances:

Year:  2021        PMID: 33402172      PMCID: PMC7785479          DOI: 10.1186/s12936-020-03556-3

Source DB:  PubMed          Journal:  Malar J        ISSN: 1475-2875            Impact factor:   2.979


  13 in total

1.  Comparison of the cost and cost-effectiveness of insecticide-treated bednets and residual house-spraying in KwaZulu-Natal, South Africa.

Authors:  C A Goodman; A E Mnzava; S S Dlamini; B L Sharp; D J Mthembu; J K Gumede
Journal:  Trop Med Int Health       Date:  2001-04       Impact factor: 2.622

2.  The cost and cost-effectiveness of malaria vector control by residual insecticide house-spraying in southern Mozambique: a rural and urban analysis.

Authors:  Lesong Conteh; Brian L Sharp; Elisebeth Streat; Avertino Barreto; Sundragasen Konar
Journal:  Trop Med Int Health       Date:  2004-01       Impact factor: 2.622

3.  Malaria prevention in highland Kenya: indoor residual house-spraying vs. insecticide-treated bednets.

Authors:  Helen L Guyatt; Sarah K Corlett; Timothy P Robinson; Sam A Ochola; Robert W Snow
Journal:  Trop Med Int Health       Date:  2002-04       Impact factor: 2.622

4.  The emergence of insecticide resistance in central Mozambique and potential threat to the successful indoor residual spraying malaria control programme.

Authors:  Ana P Abilio; Immo Kleinschmidt; Andrea M Rehman; Nelson Cuamba; Varsha Ramdeen; David S Mthembu; Sarel Coetzer; Rajendra Maharaj; Craig S Wilding; Andrew Steven; Marlize Coleman; Janet Hemingway; Michael Coleman
Journal:  Malar J       Date:  2011-05-02       Impact factor: 2.979

5.  Cost-effectiveness of a combined intervention of long lasting insecticidal nets and indoor residual spraying compared with each intervention alone for malaria prevention in Ethiopia.

Authors:  Alemayehu Hailu; Bernt Lindtjørn; Wakgari Deressa; Taye Gari; Eskindir Loha; Bjarne Robberstad
Journal:  Cost Eff Resour Alloc       Date:  2018-11-22

Review 6.  Setting the scene and generating evidence for malaria elimination in Southern Mozambique.

Authors:  Pedro Aide; Baltazar Candrinho; Beatriz Galatas; Khátia Munguambe; Caterina Guinovart; Fabião Luis; Alfredo Mayor; Krijn Paaijmans; Lucía Fernández-Montoya; Laia Cirera; Quique Bassat; Sonia Mocumbi; Clara Menéndez; Delino Nhalungo; Ariel Nhacolo; Regina Rabinovich; Eusébio Macete; Pedro Alonso; Francisco Saúte
Journal:  Malar J       Date:  2019-06-06       Impact factor: 2.979

7.  Indoor residual spraying for malaria control in sub-Saharan Africa 1997 to 2017: an adjusted retrospective analysis.

Authors:  Julie-Anne A Tangena; Chantal M J Hendriks; Maria Devine; Meghan Tammaro; Anna E Trett; Ignatius Williams; Adilson José DePina; Achamylesh Sisay; Ramandimbiarijaona Herizo; Hmooda Toto Kafy; Elizabeth Chizema; Allan Were; Jennifer Rozier; Michael Coleman; Catherine L Moyes
Journal:  Malar J       Date:  2020-04-10       Impact factor: 2.979

8.  Nets, spray or both? The effectiveness of insecticide-treated nets and indoor residual spraying in reducing malaria morbidity and child mortality in sub-Saharan Africa.

Authors:  Nancy Fullman; Roy Burstein; Stephen S Lim; Carol Medlin; Emmanuela Gakidou
Journal:  Malar J       Date:  2013-02-13       Impact factor: 2.979

9.  Programme costs in the economic evaluation of health interventions.

Authors:  Benjamin Johns; Rob Baltussen; Raymond Hutubessy
Journal:  Cost Eff Resour Alloc       Date:  2003-02-26

10.  Preparedness is essential for malaria-endemic regions during the COVID-19 pandemic.

Authors:  Jigang Wang; Chengchao Xu; Yin Kwan Wong; Yingke He; Ayôla A Adegnika; Peter G Kremsner; Selidji T Agnandji; Amadou A Sall; Zhen Liang; Chen Qiu; Fu Long Liao; Tingliang Jiang; Sanjeev Krishna; Youyou Tu
Journal:  Lancet       Date:  2020-03-17       Impact factor: 79.321

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