Evidence map›Paper›PMID 34108145›Full record

ArticleBMJ global health2021

Impact of free maternity policies in Kenya: an interrupted time-series analysis.

Stacey Orangi, Angela Kairu, Lucas Malla, Joanne Ondera, Boniface Mbuthia, Nirmala Ravishankar, Edwine Barasa

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
15.0field-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

25 citing papers in PubMed, 51 citations in OpenAlex.

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  10. Does a free maternity policy in Kenya work? Impact and cost-benefit consideration based on demographic health survey data.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
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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

7 authors at 2 institutions in 2 countries.

Stacey OrangiHealth Economics Research Unit (HERU), KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya sorangi@kemri-wellcome.org.ORCID 0000-0002-3236-5229
Angela KairuHealth Economics Research Unit (HERU), KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya.
Lucas MallaHealth Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya.
Joanne OnderaIndependent Consultant, Nairobi, Kenya.
Boniface MbuthiaThinkWell, Nairobi, Kenya.
Nirmala RavishankarThinkWell, Washington, DC, USA.
Edwine BarasaHealth Economics Research Unit (HERU), KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya.ORCID 0000-0001-5793-7177
Kenya Medical Research Institute · KEAfrican Conservation Centre · KE

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundUser fees have been reported to limit access to services and increase inequities. As a result, Kenya introduced a free maternity policy in all public facilities in 2013. Subsequently in 2017, the policy was revised to the Linda Mama programme to expand access to private sector, expand the benefit package and change its management.

methodsAn interrupted time-series analysis on facility deliveries, antenatal care (ANC) and postnatal care (PNC) visits data between 2012 and 2019 was used to determine the effect of the two free maternity policies. These data were from 5419 public and 305 private and faith-based facilities across all counties, with data sourced from the health information system. A segmented negative binomial regression with seasonality accounted for, was used to determine the level (immediate) effect and trend (month-on-month) effect of the policies.

resultsThe 2013 free-maternity policy led to a 19.6% and 28.9% level increase in normal deliveries and caesarean sections, respectively, in public facilities. There was also a 1.4% trend decrease in caesarean sections in public facilities. A level decrease followed by a trend increase in PNC visits was reported in public facilities. For private and faith-based facilities, there was a level decrease in caesarean sections and ANC visits followed by a trend increase in caeserean sections following the 2013 policy.Furthermore, the 2017 Linda Mama programme showed a level decrease then a trend increase in PNC visits and a 1.1% trend decrease in caesarean sections in public facilities. In private and faith-based facilities, there was a reported level decrease in normal deliveries and caesarean sections and a trend increase in caesarean sections.

conclusionThe free maternity policies show mixed effects in increasing access to maternal health services. Emphasis on other accessibility barriers and service delivery challenges alongside user fee removal policies should be addressed to realise maximum benefits in maternal health utilisation.

Indexed as

Maternal Health ServicesDelivery, ObstetricFemaleHumansKenyaPolicyPregnancyPrenatal Carehealth economicshealth policyhealth systems evaluationmaternal health

Identifiers

PMID34108145
PMCPMC8191610
OpenAlexW3165888337

What OpenQuestion holds

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LicenceCC BY
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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.