Evidence map›Paper›PMID 39636890›Full record

ArticlePloS one2024

Cost-effectiveness of linking HIV and family planning services to prevent unintended pregnancies among women living with HIV.

Beena Nitin Joshi, Himanshu Chaurasia, Revathy R, Siddesh Shetty, Namrata Kharat, Shahina Begum, Aniruddha Deshpande, Digambar Kangule, Shrikala Acharya, Parmod Deoraj and 2 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Beena Nitin JoshiHTA Regional Resource Hub, Department of Operational and Implementation Research, ICMR- National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, India.ORCID 0000-0003-2187-4922
Himanshu ChaurasiaHTA Regional Resource Hub, Department of Operational and Implementation Research, ICMR- National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, India.
Revathy RHTA Regional Resource Hub, Department of Operational and Implementation Research, ICMR- National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, India.
Siddesh ShettyHTA Regional Resource Hub, Department of Operational and Implementation Research, ICMR- National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, India.
Namrata KharatHTA Regional Resource Hub, Department of Operational and Implementation Research, ICMR- National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, India.
Shahina BegumDepartment of Biostatistics, ICMR- National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, India.ORCID 0000-0001-5590-2210
Aniruddha DeshpandeMaharashtra State Family Welfare Board Pune, Government of Maharashtra, Pune, Maharashtra, India.
Digambar KanguleMaharashtra State Family Welfare Board Pune, Government of Maharashtra, Pune, Maharashtra, India.
Shrikala AcharyaMumbai District AIDS Control Society, Mumbai, Maharashtra, India.
Parmod DeorajMaharashtra State AIDS Control Society (MSACS), Mumbai, Maharashtra, India.ORCID 0000-0003-4107-7269
Pravin SanapDepartment of Operational and Implementation Research, ICMR- National Institute for Research in Reproductive and Child Health- HTA Regional Resource Hub, Mumbai, Maharashtra, India.
Iranna MashalDepartment of Operational and Implementation Research, ICMR- National Institute for Research in Reproductive and Child Health- HTA Regional Resource Hub, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of unintended pregnancies and transmission of infection from mother-to-child could be averted by implementation of linked HIV care and family planning services (prong-2). The objective of the study was to assess the cost-effectiveness of strengthening prong-2 interventions through linked HIV-family planning services, to prevent unintended pregnancies among women living with HIV. A Markov decision analytical model was performed from a disaggregated societal perspective. A hypothetical cohort of married, sexually active women living with HIV in reproductive age, availing services from public health settings in India, were followed to estimate the costs and health outcomes. The intervention was strengthening linkage of HIV with family planning services through training healthcare providers and improving focus of dual methods of contraception. The standard of care with focus on condom promotion primarily for infection control was the comparator. The outcome was measured as Incremental Cost-effectiveness Ratio in terms of unintended pregnancies, live-births, abortions, maternal deaths and infant infections averted. We conducted Probabilistic Sensitivity Analysis to evaluate uncertainties. The intervention was found to be cost-effective. Among a cohort of 782107, 72604 unintended pregnancies, 41610 induced abortions, 17425 unintended live-births, and 8722 deaths were averted by the intervention. At 2% mother-to-child transmission rate, 2752 infant infections were averted. An incremental cost of INR 100000 (USD1272.3) could avert one death, two unintended live-births, five abortions and nine unintended pregnancies. Linking HIV and family planning services to prevent unintended pregnancy by use of dual contraception among women living with HIV is cost-effective.

Indexed as

Cost-Benefit AnalysisFamily Planning ServicesHIV InfectionsPregnancy, UnplannedAdolescentAdultContraceptionFemaleHumansIndiaInfectious Disease Transmission, VerticalMarkov ChainsPregnancyYoung Adult

Identifiers

PMID39636890
PMCPMC11620344

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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.