Evidence map›Paper›PMID 31391189›Full record

Observational studyBMJ open2019

Missing female patients: an observational analysis of sex ratio among outpatients in a referral tertiary care public hospital in India.

Mudit Kapoor, Deepak Agrawal, Shamika Ravi, Ambuj Roy, S V Subramanian, Randeep Guleria

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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

  1. Stroke in India: A systematic review of the incidence, prevalence, and case fatality.International journal of stroke : official journal of the International Stroke Society · 2022
    Pooled it
  2. Article
  3. Review
  4. Global Perspectives in Plastic Surgery: View of Plastic Surgeons From India.Plastic and reconstructive surgery. Global open · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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  14. Article
  15. Article
  16. Article
  17. Analysis of acute poisoning cases at a tertiary care hospital.Journal of family medicine and primary care · 2024
    Article
  18. Article
  19. Review
  20. 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

6 authors.

Mudit Kapoor *Economics and Planning Unit, Indian Statistical Institute, Delhi Centre, New Delhi, India.
Deepak Agrawal *Department of Neurosurgery, Jai Prakash Narayan Apex Trauma Center , All India Institute of Medical Sciences, New Delhi, Delhi, India.
Shamika RaviBrookings Institution India Centre, New Delhi, Delhi, India.
Ambuj RoyDepartment of Cardiology, All India Institute of Medical Sciences, New Delhi, Delhi, India.
S V SubramanianDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Randeep GuleriaPulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate gender discrimination in access to healthcare and its relationship with the patient's age and distance from the healthcare facility. DESIGN AND

settingAn observational study based on outpatient data from a large referral public hospital in Delhi, India.

participantsConfirmed clinical appointments. PRIMARY AND SECONDARY OUTCOME MEASURES: Estimates from the logistic regression are used to compute sex ratios (male/female) of patient visits with respect to distance from the hospital and age. Missing female patients for each state-a measure of the extent of gender discrimination-is computed as the difference in the actual number of female patients who came from each state and the number of female patients that should have visited the hospital had male and female patients come in the same proportion as the sex ratio of the overall population from the 2011 census.

resultsOf 2377028 outpatient visits, excluding obstetrics and gynaecology patients, the overall sex ratio was 1.69 male to one female visit. Sex ratios, adjusted for age and hospital department, increased with distance. The ratio was 1.41 for Delhi, where the facility is located; 1.70 for Haryana, an adjoining state; 1.98 for Uttar Pradesh, a state further away; and 2.37 for Bihar, the state furthest from Delhi. The sex ratios had a U-shaped relationship with age: 1.93 for 0-18 years, 2.01 for 19-30 years, and 1.75 for 60 years or over compared with 1.43 and 1.40 for the age groups 31-44 and 45-59 years, respectively. We estimate there were 402 722 missing female outpatient visits from these four states, which is 49% of the total female outpatient visits for these four states.

conclusionWe found gender discrimination in access to healthcare, which was worse for female patients who were in the younger and older age groups, and for those who lived at increasing distances from the hospital.

Indexed as

Sex RatioAdolescentAdultChildChild, PreschoolFemaleHealth Services AccessibilityHospitals, PublicHumansIndiaInfantMaleMiddle AgedOutpatientsSexismTertiary Health Careaccess to public healthgender discrimination

Identifiers

PMID31391189
PMCPMC6687005

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.