Evidence map›Paper›PMID 33664063›Full record

ArticleBMJ open2021

Determinants of health insurance ownership in Jordan: a cross-sectional study of population and family health survey 2017-2018.

Meilian Liu, Zhaoxin Luo, Donghua Zhou, Lu Ji, Huilin Zhang, Bishwajit Ghose, Shangfeng Tang, Ruoxi Wang, Da Feng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. COVID-19: Marking the Gaps in Migrant and Refugee Health in Some Massive Migration Areas.International journal of environmental research and public health · 2021
    Review
  7. Article
  8. 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

9 authors.

Meilian LiuSchool of Business, Guilin University of Electronic Technology, Guilin, China.ORCID http://orcid.org/0000-0002-7826-4247
Zhaoxin LuoSchool of Business, Guilin University of Electronic Technology, Guilin, China.
Donghua ZhouSchool of Physical Education, Research Center of Sports and Health, Wuhan Business University, Wuhan, China.
Lu JiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huilin ZhangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Bishwajit GhoseSocial Sciences and Humanities Research Council of Canada, University of Ottawa, Ottawa, Ontario, Canada.ORCID http://orcid.org/0000-0003-4461-3821
Shangfeng TangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ruoxi WangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID http://orcid.org/0000-0002-9695-0582
Da FengSchool of Pharmacy, Huazhong University of Science and Technology, Wuhan, China fengda@hust.edu.cn.ORCID http://orcid.org/0000-0003-4392-760X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWith about one-third of the population living below the poverty line, Jordan faces major healthcare, social and national development issues. Low insurance coverage among the poor and high out-of-pocket expenditure worsens the financial insecurity especially for the marginalised population. The Government of Jordan aims to achieve universal coverage of health insurance-a bold plan that requires research evidence for successful implementation. In this study, we aimed to assess the proportion of the population covered by any health insurance, and the determinants owing a health insurance.

designA population-based prospective cohort study.

settingJordan.

methodsData for this study were derived from the Jordan Population and Family Health Survey, which was implemented by the Department of Statistics from early October 2017 to January 2018. Sample characteristics were described as percentages with 95% CIs. Binary logistic regression models were used to estimate OR of health insurance ownership. Parsimonious model was employed to assess the sex and geographical differences.

resultsData revealed that in 2017-2018, 73.13% of the 12 992 men and women had health insurance. There was no indication of age of sex difference in health insurance ownership; however, marital status and socioeconomic factors such as wealth and education as well as internet access and geographical location appeared to be the important predictors of non-use of health insurance. The associations differed by sex and urbanicity for certain variables. Addressing these inequities may help achieve universal coverage in health insurance ownership in the population.

conclusionsMore than one-quarter of the population in Jordan were not insured. Efforts to decrease disparities in insurance coverage should focus on minimising socioeconomic and geographical disparities to promote equity in terms of healthcare services.

Indexed as

Insurance, HealthOwnershipCross-Sectional StudiesFemaleHealth SurveysHumansJordanMaleProspective StudiesSocioeconomic Factorshealth economicshealth policyhealth services administration & management

Identifiers

PMID33664063
PMCPMC7934725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.