Evidence map›Paper›PMID 28057650›Full record

ArticleBMJ open2017

Technical and scale efficiency in the delivery of child health services in Zambia: results from data envelopment analysis.

Tom Achoki, Anke Hovels, Felix Masiye, Abaleng Lesego, Hubert Leufkens, Yohannes Kinfu

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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

6 authors.

Tom AchokiDepartment of Global Health, Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
Anke HovelsCentre for Pharmaceutical Policy and Regulation, Utrecht University, Utrecht, The Netherlands.
Felix MasiyeDepartment of Global Health, Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
Abaleng LesegoUniversity of Maryland School of Medicine, Baltimore, Maryland, USA.
Hubert LeufkensCentre for Pharmaceutical Policy and Regulation, Utrecht University, Utrecht, The Netherlands.
Yohannes KinfuFaculty of Health, University of Canberra, Canberra, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDespite tremendous efforts to scale up key maternal and child health interventions in Zambia, progress has not been uniform across the country. This raises fundamental health system performance questions that require further investigation. Our study investigates technical and scale efficiency (SE) in the delivery of maternal and child health services in the country.

settingThe study focused on all 72 health districts of Zambia.

methodsWe compiled a district-level database comprising health outcomes (measured by the probability of survival to 5 years of age), health outputs (measured by coverage of key health interventions) and a set of health system inputs, namely, financial resources and human resources for health, for the year 2010. We used data envelopment analysis to assess the performance of subnational units across Zambia with respect to technical and SE, controlling for environmental factors that are beyond the control of health system decision makers.

resultsNationally, average technical efficiency with respect to improving child survival was 61.5% (95% CI 58.2% to 64.8%), which suggests that there is a huge inefficiency in resource use in the country and the potential to expand services without injecting additional resources into the system. Districts that were more urbanised and had a higher proportion of educated women were more technically efficient. Improved cooking methods and donor funding had no significant effect on efficiency.

conclusionsWith the pressing need to accelerate progress in population health, decision makers must seek efficient ways to deliver services to achieve universal health coverage. Understanding the factors that drive performance and seeking ways to enhance efficiency offer a practical pathway through which low-income countries could improve population health without necessarily seeking additional resources.

Indexed as

Child MortalityModels, StatisticalAdolescentAdultChild Health ServicesChild, PreschoolDelivery of Health CareEducational StatusEfficiency, OrganizationalFemaleHealth ResourcesHumansInfantInfant, NewbornMaleOutcome and Process Assessment, Health CareData Envelopment AnalysisHealth Systems Performance;Scale EfficiencyTechnical Efficiency

Identifiers

PMID28057650
PMCPMC5223711

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.