Evidence map›Paper›PMID 35613790›Full record

ArticleBMJ open2022

Factors associated with accessing and utilisation of healthcare and provision of health services for residents of slums in low and middle-income countries: a scoping review of recent literature.

Ji-Eun Park, Peter Kibe, Godwin Yeboah, Oyinlola Oyebode, Bronwyn Harris, Motunrayo M Ajisola, Frances Griffiths, Navneet Aujla, Paramjit Gill, Richard J Lilford and 2 more

Abstract readScoping Review
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
  2. Healthcare Utilization Patterns for Acute Undifferentiated Febrile Illness in an Urban Slum of Delhi: A Prospective Cohort Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
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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

12 authors.

Ji-Eun ParkWarwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0002-2932-5373
Peter KibeHealth and Systems for Health, African Population and Health Research Center, Nairobi, Kenya.ORCID 0000-0002-9027-9054
Godwin YeboahInformation and Digital Group, University of Warwick, Coventry, UK.ORCID 0000-0003-4618-3175
Oyinlola OyebodeWarwick Medical School, University of Warwick, Coventry, UK.
Bronwyn HarrisWarwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0003-4695-008X
Motunrayo M AjisolaSociology, University of Ibadan, Ibadan, Nigeria.
Frances GriffithsWarwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0002-4173-1438
Navneet AujlaWarwick Medical School, University of Warwick, Coventry, UK.
Paramjit GillWarwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0001-8756-6813
Richard J LilfordInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0002-0634-984X
Yen-Fu ChenWarwick Medical School, University of Warwick, Coventry, UK y-f.chen@warwick.ac.uk.ORCID 0000-0002-9446-2761
Improving Health in Slums Collaborative

Funding

Department of Health
6 · The paper itself

Abstract

objectiveTo identify factors associated with accessing and utilisation of healthcare and provision of health services in slums.

designA scoping review incorporating a conceptual framework for configuring reported factors. DATA SOURCES: MEDLINE, Embase, CINAHL, Web of Science and the Cochrane Library were searched from their inception to December 2021 using slum-related terms. ELIGIBILITY CRITERIA: Empirical studies of all designs reporting relevant factors in slums in low and middle-income countries. DATA EXTRACTION AND SYNTHESIS: Studies were categorised and data were charted according to a preliminary conceptual framework refined by emerging findings. Results were tabulated and narratively summarised.

resultsOf the 15 469 records retrieved from all years, 4368 records dated between 2016 and 2021 were screened by two independent reviewers and 111 studies were included. The majority (63 studies, 57%) were conducted in Asia, predominantly in India. In total, 104 studies examined healthcare access and utilisation from slum residents' perspective while only 10 studies explored provision of health services from providers/planners' perspective (three studies included both). A multitude of factors are associated with accessing, using and providing healthcare in slums, including recent migration to slums; knowledge, perception and past experience of illness, healthcare needs and health services; financial constraint and competing priorities between health and making a living; lacking social support; unfavourable physical environment and locality; sociocultural expectations and stigma; lack of official recognition; and existing problems in the health system.

conclusionThe scoping review identified a significant body of recent literature reporting factors associated with accessing, utilisation and provision of healthcare services in slums. We classified the diverse factors under seven broad categories. The findings can inform a holistic approach to improving health services in slums by tackling barriers at different levels, taking into account local context and geospatial features of individual slums. SYSTEMATIC REVIEW REGISTRATION NUMBER: https://osf.io/694t2.

Indexed as

Developing CountriesPoverty AreasHealth FacilitiesHealth ServicesHealth Services AccessibilityHumanshealth services administration & managementinternational health servicespublic health

Identifiers

PMID35613790
PMCPMC9125718

What OpenQuestion holds

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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.