Evidence map›Paper›PMID 26164481›Full record

ArticleThe Lancet. Infectious diseases2015

Out-of-pocket health expenditures and antimicrobial resistance in low-income and middle-income countries: an economic analysis.

Marcella Alsan, Lena Schoemaker, Karen Eggleston, Nagamani Kammili, Prasanthi Kolli, Jay Bhattacharya

Abstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 4 pooled it
11.0field-weighted citation impact, top 1% of its field
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

73 citing papers in PubMed, 4 syntheses or guidelines pooled it, 141 citations in OpenAlex.

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13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Marcella AlsanCenter for Health Policy and the Center for Primary Care and Outcomes Research, Stanford University, Stanford, CA, USA; National Bureau of Economic Research, Cambridge, MA, USA. Electronic address: malsan@stanford.edu.
Lena SchoemakerCenter for Health Policy and the Center for Primary Care and Outcomes Research, Stanford University, Stanford, CA, USA.
Karen EgglestonShorenstein Asia-Pacific Research Center, Stanford University, Stanford, CA, USA; National Bureau of Economic Research, Cambridge, MA, USA.
Nagamani KammiliGandhi Medical College and Hospital, Department of Microbiology, Secunderabad, India.
Prasanthi KolliGandhi Medical College and Hospital, Department of Microbiology, Secunderabad, India.
Jay BhattacharyaCenter for Health Policy and the Center for Primary Care and Outcomes Research, Stanford University, Stanford, CA, USA; National Bureau of Economic Research, Cambridge, MA, USA.
Gandhi Medical College & Hospital · INStanford University · USNational Bureau of Economic Research · USPacific Research Institute · US

Funding

CORE--PROGRAM DEVELOPMENTP30AG017253 · NIA · STANFORD UNIVERSITY · PI BHATTACHARYA, JAY · 1999 to 2019
$5.8M
NIA NIH HHS P30 AG017253PHS HHS P30 150127-5054662-0002
6 · The paper itself

Abstract

introductionThe decreasing effectiveness of antimicrobial agents is a growing global public health concern. Low-income and middle-income countries are vulnerable to the loss of antimicrobial efficacy because of their high burden of infectious disease and the cost of treating resistant organisms. We aimed to assess if copayments in the public sector promoted the development of antibiotic resistance by inducing patients to purchase treatment from less well regulated private providers.

methodsWe analysed data from the WHO 2014 Antibacterial Resistance Global Surveillance report. We assessed the importance of out-of-pocket spending and copayment requirements for public sector drugs on the level of bacterial resistance in low-income and middle-income countries, using linear regression to adjust for environmental factors purported to be predictors of resistance, such as sanitation, animal husbandry, and poverty, and other structural components of the health sector. Our outcome variable of interest was the proportion of bacterial isolates tested that showed resistance to a class of antimicrobial agents. In particular, we computed the average proportion of isolates that showed antibiotic resistance for a given bacteria-antibacterial combination in a given country.

findingsOur sample included 47 countries (23 in Africa, eight in the Americas, three in Europe, eight in the Middle East, three in southeast Asia, and two in the western Pacific). Out-of-pocket health expenditures were the only factor significantly associated with antimicrobial resistance. A ten point increase in the percentage of health expenditures that were out-of-pocket was associated with a 3·2 percentage point increase in resistant isolates (95% CI 1·17-5·15; p=0·002). This association was driven by countries requiring copayments for drugs in the public health sector. Of these countries, moving from the 20th to 80th percentile of out-of-pocket health expenditures was associated with an increase in resistant bacterial isolates from 17·76% (95% CI 12·54-22·97) to 36·27% (31·16-41·38).

interpretationOut-of-pocket health expenditures were strongly correlated with antimicrobial resistance in low-income and middle-income countries. This relation was driven by countries that require copayments on drugs in the public sector. Our data suggest cost-sharing of antimicrobials in the public sector might drive demand to the private sector in which supply-side incentives to overprescribe are probably heightened and quality assurance less standardised.

fundingNational Institutes of Health.

Indexed as

Drug Resistance, BacterialDrug UtilizationAnti-Infective AgentsDeveloping CountriesGlobal HealthHealth ExpendituresHumansAnti-Infective Agents

Identifiers

PMID26164481
PMCPMC4609169
OpenAlexW1827058211

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.