Evidence map›Paper›PMID 27141969›Full record

ArticleGlobal public health2017

Hidden costs: The ethics of cost-effectiveness analyses for health interventions in resource-limited settings.

Sarah E Rutstein, Joan T Price, Nora E Rosenberg, Stuart M Rennie, Andrea K Biddle, William C Miller

Abstract read
In one paragraph

Article in Global public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Optimizing the Harms and Benefits of Cervical Screening in a Partially Vaccinated Population in Ontario, Canada: A Modeling Study.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Variation in the methodological approach to productivity cost valuation: the case of prostate cancer.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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.

Sarah E Rutsteina Department of Health Policy and Management , University of North Carolina-Chapel Hill , Chapel Hill , NC , USA.
Joan T Pricec Division of Global Women's Health , University of North Carolina-Chapel Hill , Chapel Hill , NC , USA.
Nora E Rosenbergd UNC Project , Lilongwe , Malawi.
Stuart M Renniee Department of Social Medicine , University of North Carolina-Chapel Hill , Chapel Hill , NC , USA.
Andrea K Biddlea Department of Health Policy and Management , University of North Carolina-Chapel Hill , Chapel Hill , NC , USA.
William C Millerb Division of Infectious Diseases , University of North Carolina-Chapel Hill , Chapel Hill , NC , USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008719 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI, DESHMUKH, MOHANISH P · 1999 to 2023
$15.1M
Fogarty Global Health Fellows Coordinating CenterR25TW009340 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHI, BENJAMIN H. · 2012 to 2016
$6.9M
Acute HIV infection - A key link for transmission preventionR01AI083059 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MILLER, WILLIAM C, PETTIFOR, AUDREY · 2009 to 2012
$3.7M
UNC Global Women’s Health FellowshipT32HD075731 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHI, BENJAMIN H. · 2013 to 2024
$2.4M
Optimizing HIV Therapy: virological monitoring, adherence & cost-effectivenessF30MH098731 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUTSTEIN, SARAH E. · 2012 to 2016
$201k
Developing and Assessing a Male Engagement Intervention for Option B+ in MalawiK99MH104154 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROSENBERG, NORA · 2015 to 2016
$168k
FIC NIH HHS R25 TW009340NIAID NIH HHS R01 AI083059NICHD NIH HHS T32 HD075731NIGMS NIH HHS T32 GM008719NIMH NIH HHS F30 MH098731NIMH NIH HHS K99 MH104154
6 · The paper itself

Abstract

Cost-effectiveness analysis (CEA) is an increasingly appealing tool for evaluating and comparing health-related interventions in resource-limited settings. The goal is to inform decision-makers regarding the health benefits and associated costs of alternative interventions, helping guide allocation of limited resources by prioritising interventions that offer the most health for the least money. Although only one component of a more complex decision-making process, CEAs influence the distribution of health-care resources, directly influencing morbidity and mortality for the world's most vulnerable populations. However, CEA-associated measures are frequently setting-specific valuations, and CEA outcomes may violate ethical principles of equity and distributive justice. We examine the assumptions and analytical tools used in CEAs that may conflict with societal values. We then evaluate contextual features unique to resource-limited settings, including the source of health-state utilities and disability weights, implications of CEA thresholds in light of economic uncertainty, and the role of external donors. Finally, we explore opportunities to help align interpretation of CEA outcomes with values and budgetary constraints in resource-limited settings. The ethical implications of CEAs in resource-limited settings are vast. It is imperative that CEA outcome summary measures and implementation thresholds adequately reflect societal values and ethical priorities in resource-limited settings.

Indexed as

BudgetsCost-Benefit AnalysisDecision MakingDelivery of Health CareHealth ResourcesHumansQuality-Adjusted Life YearsSocial JusticeCost-effectiveness analysisequityethicsresource-limited settings

Identifiers

PMID27141969
PMCPMC5303190

What OpenQuestion holds

Textmetadata
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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.