Evidence map›Paper›PMID 31367279›Full record

ArticleInternational journal of preventive medicine2019

Social Trends Affecting the Future of Iran's Health System: A Qualitative Study Using Focus Group Discussion.

Hamed Rahimi, Alireza Kalantari, Noora Rafiee, Sajad Khosravi

Abstract read
In one paragraph

Article in International journal of preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Hamed RahimiStudent Research Committee, Kerman University of Medical Sciences, Kerman, Iran.
Alireza KalantariSchool of Management and Information, Kerman University of Medical Sciences, Kerman, Iran.
Noora RafieeStudent Research Committee, Kerman University of Medical Sciences, Kerman, Iran.
Sajad KhosraviDepartment of Health Management, Policy and Economics, School of Public Health, Bam University of Medical Sciences, Bam, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial issues have short- or long-term as well as positive or negative effects on health systems. Identifying and analyzing events and trends help managers to make the vision and strategic planning. The purpose of this study is to identify the social trends and their impacts on the future of the Iranian health system.

methodsFocus group discussion (FGD) was used to collect the data in 2017--18. The participants were selected through purposive sampling and the snowball method. The discussions were all written and recorded with the consent of the participants. A qualitative content analysis was used to analyze the data.

resultsThe participants believed that the most important social trends affecting future of health system in Iran are increase health literacy, demographic transition, nutritional pattern, migration and urbanization, marginal settlement, rising unemployment, and increased usage of personal cars.

conclusionsThe increase in health problems, healthcare costs, and mortality because of social behaviors and trends are considered as threats to the health system. Therefore, policymakers should reduce their negative effects by taking into account and focusing on these trends and making appropriate plans.

Indexed as

Focus groupshealthIransocial behaviorsocial marketingtrends

Identifiers

PMID31367279
PMCPMC6639845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.