Evidence map›Paper›PMID 27649897›Full record

ArticleBMC pregnancy and childbirth2016

Institutional delivery in public and private sectors in South Asia: a comparative analysis of prospective data from four demographic surveillance sites.

Sushmita Das, Glyn Alcock, Kishwar Azad, Abdul Kuddus, Dharma S Manandhar, Bhim Prasad Shrestha, Nirmala Nair, Shibanand Rath, Neena Shah More, Naomi Saville and 2 more

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Quality of Free Delivery Care among Poor Mothers in Gujarat, India: A Community-Based Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

12 authors.

Sushmita DasSNEHA (Society for Nutrition, Education and Health Action), 310, Urban Health Centre, 60 Feet Road, Dharavi, Mumbai, 400 017, Maharashtra, India.
Glyn AlcockUCL Institute for Global Health, 30 Guilford Street, London, WC1N 1EH, UK.
Kishwar AzadPerinatal Care Project, Diabetic Association of Bangladesh, 122 Kazi Nazrul Islam Avenue, Dhaka, 1000, Bangladesh.
Abdul KuddusPerinatal Care Project, Diabetic Association of Bangladesh, 122 Kazi Nazrul Islam Avenue, Dhaka, 1000, Bangladesh.
Dharma S ManandharMother and Infant Research Activities (MIRA), YB Bhavan, Thapathali, GPO Box 921, Kathmandu, Nepal.
Bhim Prasad ShresthaMother and Infant Research Activities (MIRA), YB Bhavan, Thapathali, GPO Box 921, Kathmandu, Nepal.
Nirmala NairEkjut, Plot 556B, Potka, Chakradharpur, West Singhbhum, Jharkhand, India.
Shibanand RathEkjut, Plot 556B, Potka, Chakradharpur, West Singhbhum, Jharkhand, India.
Neena Shah MoreSNEHA (Society for Nutrition, Education and Health Action), 310, Urban Health Centre, 60 Feet Road, Dharavi, Mumbai, 400 017, Maharashtra, India.
Naomi SavilleUCL Institute for Global Health, 30 Guilford Street, London, WC1N 1EH, UK.
Tanja A J HouwelingDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
David OsrinUCL Institute for Global Health, 30 Guilford Street, London, WC1N 1EH, UK. d.osrin@ucl.ac.uk.ORCID 0000-0001-9691-9684

Funding

Wellcome Trust 081052Wellcome Trust 091561/Z/10/Z
6 · The paper itself

Abstract

backgroundMaternity care in South Asia is available in both public and private sectors. Using data from demographic surveillance sites in Bangladesh, Nepal and rural and urban India, we aimed to compare institutional delivery rates and public-private share.

methodsWe used records of maternity care collected in socio-economically disadvantaged communities between 2005 and 2011. Institutional delivery was summarized by four potential determinants: household asset index, maternal schooling, maternal age, and parity. We developed logistic regression models for private sector institutional delivery with these as independent covariates.

resultsThe data described 52 750 deliveries. Institutional delivery proportion varied and there were differences in public-private split. In Bangladesh and urban India, the proportion of deliveries in the private sector increased with wealth, maternal education, and age. The opposite was observed in rural India and Nepal.

conclusionsThe proportion of institutional delivery increased with economic status and education. The choice of sector is more complex and provision and perceived quality of public sector services is likely to play a role. Choices for safe maternity are influenced by accessibility, quantity and perceived quality of care. Along with data linkage between private and public sectors, increased regulation should be part of the development of the pluralistic healthcare systems that characterize south Asia.

Indexed as

AdolescentAdultDelivery, ObstetricDemographyFemaleHealth FacilitiesHumansIndiaMiddle AgedNepalPregnancyPrivate SectorProspective StudiesPublic SectorRural PopulationSocioeconomic FactorsAsiaDeliveryHealth facilitiesObstetricPrivate sectorPublic sector

Identifiers

PMID27649897
PMCPMC5029035

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.