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Cobertura por plano de saúde ou cartão de desconto: inquérito domiciliar na área de abrangência da Estratégia Saúde da Família

Overview of attention for article published in Cadernos de Saúde Pública, October 2017
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Title
Cobertura por plano de saúde ou cartão de desconto: inquérito domiciliar na área de abrangência da Estratégia Saúde da Família
Published in
Cadernos de Saúde Pública, October 2017
DOI 10.1590/0102-311x00141515
Pubmed ID
Authors

Leonardo Ferreira Fontenelle, Maria Beatriz Junqueira de Camargo, Andréa Dâmaso Bertoldi, Helen Gonçalves, Ethel Leonor Noia Maciel, Aluísio J D Barros

Abstract

This study was designed to assess the reasons for health insurance coverage in a population covered by the Family Health Strategy in Brazil. We describe overall health insurance coverage and according to types, and analyze its association with health-related and socio-demographic characteristics. Among the 31.3% of persons (95%CI: 23.8-39.9) who reported "health insurance" coverage, 57.0% (95%CI: 45.2-68.0) were covered only by discount cards, which do not offer any kind of coverage for medical care, but only discounts in pharmacies, clinics, and hospitals. Both for health insurance and discount cards, the most frequently cited reasons for such coverage were "to be on the safe side" and "to receive better care". Both types of coverage were associated statistically with age (+65 vs. 15-24 years: adjusted odds ratios, aOR = 2.98, 95%CI: 1.28-6.90; and aOR = 3.67; 95%CI: 2.22-6.07, respectively) and socioeconomic status (additional standard deviation: aOR = 2.25, 95%CI: 1.62-3.14; and aOR = 1.96, 95%CI: 1.34-2.97). In addition, health insurance coverage was associated with schooling (aOR = 7.59, 95%CI: 4.44-13.00) for complete University Education and aOR = 3.74 (95%CI: 1.61-8.68) for complete Secondary Education, compared to less than complete Primary Education. Meanwhile, neither health insurance nor discount card was associated with health status or number of diagnosed diseases. In conclusion, studies that aim to assess private health insurance should be planned to distinguish between discount cards and formal health insurance.

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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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 21%
Professor 3 21%
Student > Master 2 14%
Student > Doctoral Student 1 7%
Unspecified 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Medicine and Dentistry 3 21%
Business, Management and Accounting 2 14%
Agricultural and Biological Sciences 1 7%
Unspecified 1 7%
Social Sciences 1 7%
Other 1 7%
Unknown 5 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 November 2017.
All research outputs
#16,065,404
of 25,402,528 outputs
Outputs from Cadernos de Saúde Pública
#896
of 1,856 outputs
Outputs of similar age
#192,400
of 338,166 outputs
Outputs of similar age from Cadernos de Saúde Pública
#16
of 35 outputs
Altmetric has tracked 25,402,528 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,856 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 338,166 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 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 57% of its contemporaries.