Evidence map›Paper›PMID 28681668›Full record

ArticleGlobal health action2017

Towards an understanding of the multilevel factors associated with maternal health care utilization in Uttar Pradesh, India.

Sanjeev Sridharan, Arnab Dey, Aparna Seth, Dharmendra Chandurkar, Kultar Singh, Katherine Hay, Rachael Gibson

Abstract read
In one paragraph

Article in Global health action, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Uptake of Skilled Maternal Healthcare in Ethiopia: A Positive Deviance Approach.International journal of environmental research and public health · 2020
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

7 authors.

Sanjeev Sridharana The Evaluation Centre for Complex Health Interventions, St. Michael's Hospital , University of Toronto , Toronto , ON , Canada.
Arnab Deyb Sambodhi Research & Communications Pvt. Ltd , Noida , UP , India.
Aparna Sethb Sambodhi Research & Communications Pvt. Ltd , Noida , UP , India.
Dharmendra Chandurkarb Sambodhi Research & Communications Pvt. Ltd , Noida , UP , India.
Kultar Singhb Sambodhi Research & Communications Pvt. Ltd , Noida , UP , India.
Katherine Hayc Bill and Melinda Gates Foundation , Delhi , India.
Rachael Gibsona The Evaluation Centre for Complex Health Interventions, St. Michael's Hospital , University of Toronto , Toronto , ON , Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis paper explores the multilevel factors associated with maternal health utilization in India's most populous state, Uttar Pradesh. 3 key utilization practices: registration of pregnancy, receipt of antenatal care, and delivery at home are examined for district and individual level predictors. The data is based on 5666 household surveys conducted as part of a baseline evaluation of the Uttar Pradesh Technical Support Unit (UPTSU.) program.

objectivesThis intervention aims to assist the Government of Uttar Pradesh in increasing the efficiency, effectiveness, and equity of service delivery across a continuum of reproductive, maternal, new-born, child, and adolescent health (RMNCH+A) outcomes.

methodsThe paper employs multilevel models that control for individuals being nested within districts in order to understand the predictors of maternal health care utilization.

resultsThe study identifies several individual-level predictors of health care utilization, including: literacy of the woman, the husband's schooling, age at marriage, and socio-economic factors. Key predictors of pregnancy registration include husband's schooling (OR 1.49, 95% CI 1.26-1.76), having a bank account (OR 1.36, 95% CI 1.11-1.68), and owning a house (OR 2.28, 95% CI 1.85-2.80). Factors affecting antenatal care include the woman's literacy (OR 1.49, 95% CI 1.28-1.73), the respondent having had a job in the last year (OR 1.39, 95% CI 1.10-1.77), and owning a house (OR 2.83, 95% CI 2.27-3.53). Home delivery tends to be associated with woman's literacy (OR 0.62, 95% CI 0.54-0.72) and marriage age of 15 and younger (OR 1.48, 95% CI 1.26-1.73).

conclusionsInterventions having equity considerations need to disrupt existing patterns of the health gradient. Successful implementation of such interventions, necessitate understanding the mechanisms that can disrupt the unequal utilization patterns and target domains of disadvantage. Knowledge of key predictors of utilization can aid in the implementation of such complex interventions.

Indexed as

AdolescentAdultAge FactorsFemaleHome ChildbirthHumansIndiaMaternal-Child Health ServicesMaternal Health ServicesPregnancyPrenatal CareSocioeconomic FactorsYoung Adultevaluationhealth inequitiesMaternal health

Identifiers

PMID28681668
PMCPMC5533144

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.