Improved calibration estimators for the total cost of health programs and application to immunization in Brazil.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 16 04 2018
accepted: 03 02 2019
entrez: 7 3 2019
pubmed: 7 3 2019
medline: 7 3 2019
Statut: epublish

Résumé

Multi-stage/level sampling designs have been widely used by survey statisticians as a means of obtaining reliable and efficient estimates at a reasonable implementation cost. This method has been particularly useful in National country-wide surveys to assess the costs of delivering public health programs, which are generally originated in different levels of service management and delivery. Unbiased and efficient estimates of costs are essential to adequately allocate resources and inform policy and planning. In recent years, the global health community has become increasingly interested in estimating the costs of immunization programs. In such programs, part of the cost correspond to vaccines and it is in most countries procured at the central level, while the rest of the costs are incurred in states, municipalities and health facilities, respectively. As such, total program cost is a result of adding these costs, and its variance should account for the relation between the totals at the different levels. An additional challenge is the missing information at the various levels. A variety of methods have been developed to compensate for this missing data. Weighting adjustments are often used to make the estimates consistent with readily-available information. For estimation of total program costs this implies adjusting the estimates at each level to comply with the characteristics of the country. In 2014, A National study to estimate the costs of the Brazilian National Immunization Program was initiated, requested by the Ministry of Health and with the support of international partners. We formulate a quick and useful way to compute the variance and deal with missing values at the various levels. Our approach involves calibrating the weights at each level using additional readily-available information such as the total number of doses administered. Taking the Brazilian immunization costing study as an example, this approach results in substantial gains in both efficiency and precision of the cost estimate.

Identifiants

pubmed: 30840645
doi: 10.1371/journal.pone.0212401
pii: PONE-D-18-11356
pmc: PMC6402677
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0212401

Commentaires et corrections

Type : ErratumIn

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Claudia Rivera-Rodriguez (C)

Department of Statistics, The University of Auckland, Auckland, New Zealand.

Cristiana Toscano (C)

Department of Community Health, Institute of Tropical Pathology and Public Health, Federal University of Goiás (UFG), Goiás, Brazil.

Stephen Resch (S)

Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.

Classifications MeSH