Evidence map›Paper›PMID 40898184›Full record

ArticleBMC health services research2025

The impact of investing in private clinics and pharmacies on modern contraceptive uptake: an agent-based model of a segmented market.

Mingxin Chen, Zhongzhe Pan, Y Natalia Alfonso, Suzanne O Bell, David Bishai

Abstract read
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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mingxin ChenDepartment of Population, Family and Reproductive Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Zhongzhe PanDepartment of Health Policy, School of Public Health, Virginia Commonwealth University, Richmond, VA, USA.
Y Natalia AlfonsoDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Suzanne O BellDepartment of Population, Family and Reproductive Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
David BishaiSchool of Public Health, The University of Hong Kong, Hong Kong , Hong Kong SAR, China. dbishai@hku.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe widespread availability of private-sector family planning services in low- and middle-income countries can be complementary to public-sector efforts to increase population coverage of modern contraceptive methods. The comparative advantages of a private-sector family planning program are more locations with shorter wait time. The disadvantages are higher prices and more variation in service quality. Our study quantifies how the balance of relative advantages and disadvantages might alter levels of contraceptive uptake in simulated urban and rural markets that present characteristics of markets throughout many low- and middle-income countries.

methodsWe used agent-based simulation, a computational model that simulates the actions and interactions of artificial agents in a defined environment to understand how their collective behaviors affect outcomes of interest. Our agent-based model simulated one public vendor and one private vendor competing to serve a heterogeneous population of varied income and varied demand for higher service quality. We allocated new funding to one of the two policies: (1) invest in public-sector marketing and quality; or (2) invest in private-sector marketing, quality, and/or offer price support. Linear regression was applied to 6000 person-months of simulated outcomes per policy to compare modern contraceptive prevalence rates for each policy option.

resultsThe optimal policy differed for urban and rural market segments. Price reductions accompanying quality improvements in the private sector enhanced overall service utilization to the greatest extent. In the urban market, low-income women with a high preference for quality were the most responsive to price reductions from private vendors. In the rural market, high-income women with a high preference for quality were the most responsive to quality improvements while other population subgroups were responsive to price reductions in a similar manner.

conclusionsThe factors that family planning policies should target to maximize their effect on modern contraceptive prevalence differ for markets characterized by different social contexts. Success of a policy will require policymakers' attention to the relative preferences for low price, short wait time, short travel time, and quality among population subgroups. Our study results suggest that quality improvement in the private sector most benefit the urban populations, while price reductions are crucial for making family planning services more accessible to urban low-income populations and to rural populations across all income levels.

Indexed as

ContraceptionFamily Planning ServicesInvestmentsPharmaciesPrivate SectorComputer SimulationFemaleHumansAgent-based modelContraceptive prevalenceFamily planningNetLogoPrivate sectorPublic-private partnershipSimulation

Identifiers

PMID40898184
PMCPMC12403456

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.