Evidence map›Paper›PMID 30704521›Full record

ArticleBMC research notes2019

Measurement components of socioeconomic status in health-related studies in Iran.

Sediqe Shafiei, Shahram Yazdani, Mohammad-Pooyan Jadidfard, A Hamid Zafarmand

Abstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

4 authors.

Sediqe ShafieiDepartment of Community Oral Health, Shahid Beheshti University of Medical Sciences, 19839, Tehran, Islamic Republic of Iran.
Shahram YazdaniSchool of Medical Education, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran.
Mohammad-Pooyan JadidfardDepartment of Community Oral Health, Shahid Beheshti University of Medical Sciences, 19839, Tehran, Islamic Republic of Iran.
A Hamid ZafarmandDepartment of Community Oral Health, Shahid Beheshti University of Medical Sciences, 19839, Tehran, Islamic Republic of Iran. zafarmand@alum.bu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe socioeconomic status (SES) is as a symbol of social determinants of health which has a dominant influence on population health. The purpose of this study was collecting, weighing, and determining the most relevant SES measurement items in Iran.

resultsThe SES health studies conducted in Iran was searched from 2007 to 2017. First, the SES items were categorized. Then, each item was weighed based on its reliability and generalizability. Finally, the necessity of items was determined, weighed, and ranked. This is the two-round Delphi technique. After weighing 57 SES items, 37 items were selected with ≥ 1 weight and classified in 7 categories. According to the Delphi evaluation, 15 items were identified ≥ 3.5 for measuring SES of Iranian households: household size, head of household education, head of household job, household monthly income, type of school that children attend, house ownership, local value of residence, number of rooms in the house, house area, personal computer/laptop, smart cell phone, 3D TV, dishwasher, microwave, and car ownership. The SES items for the present society are categorized in 7 domains. The items collected in this study have the most comprehension of all studies related to income, life facilities, and assets.

Indexed as

Data CollectionDelphi TechniqueEpidemiologic StudiesSocial ClassSocial Determinants of HealthHumansIranFamily characteristicsHousehold equipmentHousehold headIranSocial determinant of health (SDH)Socioeconomic factorsSocioeconomic status (SES)

Identifiers

PMID30704521
PMCPMC6357485

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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.