Evidence map›Paper›PMID 29089861›Full record

ArticleCost effectiveness and resource allocation : C/E2017

Disease control programme support costs: an update of WHO-CHOICE methodology, price databases and quantity assumptions.

Melanie Y Bertram, Karin Stenberg, Callum Brindley, Jina Li, Juliana Serje, Rory Watts, Tessa Tan-Torres Edejer

Abstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. An overview of the perspectives used in health economic evaluations.Cost effectiveness and resource allocation : C/E · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Case for investment in tobacco cessation: a population-based analysis in low- and middle-income countries.Revista panamericana de salud publica = Pan American journal of public health · 2022
    Article
  15. Cost of TB services in healthcare facilities in Kenya (No 3).The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Melanie Y BertramDepartment of Health Systems Governance and Financing, World Health Organization, Avenue Appia 20, Geneva, Switzerland.
Karin StenbergDepartment of Health Systems Governance and Financing, World Health Organization, Avenue Appia 20, Geneva, Switzerland.
Callum BrindleyDepartment of Health Systems Governance and Financing, World Health Organization, Avenue Appia 20, Geneva, Switzerland.
Jina LiDepartment of Health Systems Governance and Financing, World Health Organization, Avenue Appia 20, Geneva, Switzerland.
Juliana SerjeDepartment of Health Systems Governance and Financing, World Health Organization, Avenue Appia 20, Geneva, Switzerland.
Rory WattsDepartment of Health Systems Governance and Financing, World Health Organization, Avenue Appia 20, Geneva, Switzerland.
Tessa Tan-Torres EdejerDepartment of Health Systems Governance and Financing, World Health Organization, Avenue Appia 20, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundEstimating health care costs, either in the context of understanding resource utilization in the implementation of a health plan, or in the context of economic evaluation, has become a common activity of health planners, health technology assessment agencies and academic groups. However, data sources for costs outside of direct service delivery are often scarce. WHO-CHOICE produces global price databases and guidance on quantity assumptions to support country level costing exercises. This paper presents updates to the WHO-CHOICE methodology and price databases for programme costs.

methodsWe collated publicly available databases for 14 non-traded cost variables, as well as a set of traded items used within health systems (traded goods are those which can be purchased from anywhere in the world, whereas non-traded goods are those which must be produced locally, such as human resources). Within each of the variables, missing data was present for some proportion of the WHO member states. For each variables statistical or econometric models were used to model prices for each of the 194 WHO member states in 2010 International Dollars. Literature reviews were used to update quantity assumptions associated with each variable to contribute to the support costs of disease control programmes.

resultsA full database of prices for disease control programme support costs is available for country-specific costing purposes. Human resources are the largest driver of disease control programme support costs, followed by supervision costs.

conclusionsDespite major advances in the availability of data since the previous version of this work, there are still some limitations in data availability to respond to the needs of those wishing to develop cost and cost-effectiveness estimates. Greater attention to programme support costs in cost data collection activities would contribute to an understanding of how these costs contribute to quality of health service delivery and should be encouraged.

Identifiers

PMID29089861
PMCPMC5658944

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.