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The impact of community-based health insurance on health-related quality of life and associated factors in Ethiopia: a comparative cross-sectional study

Overview of attention for article published in Health and Quality of Life Outcomes, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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1 blog
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3 X users
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1 Facebook page
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1 Redditor

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mendeley
143 Mendeley
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Title
The impact of community-based health insurance on health-related quality of life and associated factors in Ethiopia: a comparative cross-sectional study
Published in
Health and Quality of Life Outcomes, May 2018
DOI 10.1186/s12955-018-0946-3
Pubmed ID
Authors

Teklemichael Gebru, Kifle Lentiro

Abstract

Quality of life can be used to measure the effect of intervention on health related conditions. Health insurance contributes positive effect on availability of medical supplies and empowerment of women and children on financial healthcare. Therefore, the study was aimed to measure the impact of Community-Based Health Insurance on HRQoL and associated socio-demographic factors. A comparative community based cross-sectional study was employed. Data was collected by trained enumerators using World Health Organization QoL-BREF tool from a sample of 1964 (982 CBHI insured and 982 un-insured) household heads selected by probability proportional to size. A descriptive summery, simple and multiple linear regression analysis was applied to describe the functional predictors of HRQoL. The study was ethically approved by IRB of Wolkite University. The HRQoL score among CBHI insured family heads was 63.02 and 58.92 for un-insured family heads. The overall variation in HRQoL was explained due to; separated marital condition which reduced the HRQoL by 4.30% than those living together [β = - 0.044, 95% CI (- 5.67, - 0.10)], daily laborer decreased HRQoL by 7.50% [β = - 0.078, 95% CI (- 12.91, - 4.10)], but employment increased by 5.65% than farmers [β = 0.055, 95% CI (2.58, 17.59)]. QoL increased by 6.4 and 6.93% among primary and secondary level educated household heads than those household heads who could not read and write [β = 0.062, 95% CI (0.75, 4.31)] and [β = 0.067, 95% CI (1.84, 7.99)], respectively. As family size increased by one households' head, HRQoL decreased by 18.21% [β = - 0.201, 95% CI (- 2.55, - 1.63)], as wealth index increased by one unit, HRQoL decreased by 32.90% [β = - 0.306, 95% CI (- 5.15, - 3.86)] and QoL among CBHI insured household heads increased by 12.41% than those un-insured family heads [β = 0.117, 95% CI (2.98, 6.16)]. The study revealed that significant difference in quality of life was found among the two groups; health insurance had positive effect on quality of life. Triggered, the government shall expand the scheme into other similar areas' and further efforts should be made on the scheme service satisfaction to ensure its continuity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 17%
Lecturer 14 10%
Researcher 13 9%
Student > Postgraduate 9 6%
Student > Ph. D. Student 6 4%
Other 16 11%
Unknown 61 43%
Readers by discipline Count As %
Medicine and Dentistry 20 14%
Nursing and Health Professions 19 13%
Social Sciences 11 8%
Economics, Econometrics and Finance 9 6%
Business, Management and Accounting 3 2%
Other 19 13%
Unknown 62 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 September 2020.
All research outputs
#3,527,108
of 25,090,809 outputs
Outputs from Health and Quality of Life Outcomes
#293
of 2,281 outputs
Outputs of similar age
#67,385
of 337,530 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#22
of 75 outputs
Altmetric has tracked 25,090,809 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 337,530 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.