Evidence map›Paper›PMID 36618537›Full record

ReviewInternational journal of preventive medicine2022

The Slums in the Mirror of Health: A Systematic Review Analysis from Iran.

Azam Raoofi, Manzar Amirkhani, Maryam Monjazeb, Niloofar Peykari

Abstract readReview
In one paragraph

Review in International journal of preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

4 authors.

Azam RaoofiPh.D. Student of Health Policy, Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Manzar AmirkhaniPh.D., Ministry of Health and Medical Education, Shahid Beheshty University, Tehran, Iran.
Maryam MonjazebMSc of Landscape Architecture, Shahid Beheshty University, Tehran, Iran.
Niloofar PeykariPh.D. of Epidemiology, Associate Professor, Ministry of Health and Medical Education, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: One billion worldwide population is living in slum areas that mostly accompanied with high rates of poverty, illiteracy, unemployment, unhealthy situation, and inappropriate health-care services. The prediction of enormous growth of slums by 2030 led to a raise to address the "plight of slums" in Sustainable Development Goals (SDGs). Methods: To address evidence-based health-related priorities, we conducted a systematic review to summarizing evidences on health situations of slums population in Iran. Six electronic databases were systematically searched for published studies without any restriction on age, sex, and language to assess health situations of slums in Iran reported by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. All identified articles were screened, quality assessed, and data extracted by two authors independently. Results: The finding of this systematic review in addition to overall view categorized in five categories: health system, reproductive health, infectious diseases, noncommunicable diseases and their risk factors, social issues besides overall situation of Slums. Conclusions: Community-based participatory interventions with socioeconomic approach on modifiable risk factors; active response of health system; establishment new health care centers in slum areas; augmenting the quality of care; active case finding; and elevating health knowledge, attitude, and practice is crucial to achieve SDG's in Slum area.

Indexed as

HealthIranpoverty areas

Identifiers

PMID36618537
PMCPMC9811963

What OpenQuestion holds

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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.