Evidence map›Paper›PMID 40785964›Full record

ReviewJournal of family & community medicine

The status of Saudi measures of deprivation: A review with policy recommendations on a missing indicator in Saudi epidemiologic research.

Reem S AlOmar

Abstract readReview
In one paragraph

Review in Journal of family & community medicine. 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

1 author.

Reem S AlOmarDepartment of Family and Community Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In epidemiology and public health, social determinants of health are an important concept, where deprivation plays a central role in the overall health status. This paper reviews the literature on deprivation and health, as well as reviews the role deprivation plays in the field of epidemiology and finally focuses on the Saudi context and provides recommendations for policymakers. This narrative review consisted of a literature search in MEDLINE, CINAHL, and PsychInfo. Search terms included key concepts of "measures of deprivation" and "epidemiology". Epidemiologists have found that health is socioeconomically patterned and follows a social gradient so that the more deprived an individual is, the poorer their health. In the United Kingdom, epidemiologists have been able to compute composite indices for deprivation and periodically update and link them to national databases. A composite index provides an overview of the ranking of deprivation and epidemiologically, provide parsimonious models rather than analyzing several separate variables. In Saudi Arabia, only two indices were published in 2018 with census data from 2004. Consequently, epidemiologists and researchers have difficulty utilizing this outdated index and incorporate it into national emerging databases. Recommendations provided in this paper include facilitating epidemiologists' accessibility to the data on the 2022 census, especially at smaller geographical levels to enable them to compute small area level-based measures of deprivation (MoD). Also, to utilize the recent technological advances to enable data linkage between the different databases and encourage the adoption and incorporation of the MoD into national databases and public health programs.

Indexed as

Epidemiologymeasures of deprivationpopulation healthpublic healthsocial determinants of healthsocioeconomic status

Identifiers

PMID40785964
PMCPMC12331189

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.