Evidence map›Paper›PMID 27268153›Full record

ArticleInternational journal for equity in health2016

Measuring spatial equity and access to maternal health services using enhanced two step floating catchment area method (E2SFCA) - a case study of the Indian Sundarbans.

Lalitha Vadrevu, Barun Kanjilal

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The KPROCS Study: A Real-World and Research Resource to Investigate Multilevel Determinants of Ovarian Cancer Treatment and Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  12. Spatial Accessibility of Primary Care in the Dual Public-Private Health System in Rural Areas, Malaysia.International journal of environmental research and public health · 2023
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  14. [Spatial accessibility of fever clinics for multi-tiered prevention and control on COVID-19 in Beijing].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2021
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  18. Evaluating the Accessibility of Healthcare Facilities Using an Integrated Catchment Area Approach.International journal of environmental research and public health · 2018
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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

2 authors at 1 institution in 1 country.

Lalitha VadrevuIIHMR University, Sanganer, Jaipur, Rajasthan, 302029, India. vadrevul@gmail.com.
Barun KanjilalIIHMR University, Sanganer, Jaipur, Rajasthan, 302029, India.
IIHMR University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInaccessibility due to terrain and lack of transport leaves mothers travelling for long hours before reaching a facility to deliver a child. In the present article we analyzed the issue of spatial inaccessibility and inequity of maternal health services in the Indian Sundarbans where complex topography and repeated climatic adversities make access to health services very difficult.

methodsWe based the article on the health-GIS study conducted in the Patharpratima Block of the Sundarbans in the year 2012. The region has 87 villages that are inhabited, of which 54 villages are in the deltaic (river locked) region and 33 villages are located in the non-deltaic region of the block. We mapped all public and private maternal health facilities and road and water transport network. For measuring inaccessibility, we use the enhanced two-step floating catchment area method (E2SFCA). For assessing inequity in spatial access, we developed an area-based socioeconomic score and constructed a concentration curve to depict inequity. We used ARC GIS 10.3.1 and Stata 11 software for our analysis.

resultsThe maternal health facilities are primarily located in the non-deltaic region of the block. On an average it takes 33.81 min to reach the closest maternal health facility. Fifty-two villages out of eighty seven villages have access scores less than the score calculated using Indian Primary Health Standards. Ten villages cannot access any maternal health facility; twenty-six villages have access scores of less than one doctor for 1000 pregnant women; fifty-six villages have access scores less than the block average of 3.54. The access scores are lower among villages in the deltaic region compared to the non-deltaic region. The concentration curve is below the line of equality showing that access scores were lower among villages that were socio-economically disadvantaged.

conclusionsMaternal health facilities are not equitably accessible to the populations that are disadvantaged and living in the remote pockets of the study region. Provision of a referral transport system along with a resilient infrastructure of roads is critical to improve access in these islands.

Indexed as

GeographyAdultCatchment Area, HealthFemaleHealthcare DisparitiesHealth Services AccessibilityHumansMaternal Health ServicesPregnancyRural PopulationConcentration curveEnhanced two step floating catchment area methodEquityGeographic information systemGravity modelsMaternal healthSpatial accessibilitySundarbans

Identifiers

PMID27268153
PMCPMC4897818
OpenAlexW2415057906

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.