| Title |
Determinants of utilisation rates of preventive health services: evidence from Chile
|
|---|---|
| Published in |
BMC Public Health, July 2018
|
| DOI | 10.1186/s12889-018-5763-4 |
| Pubmed ID | |
| Authors |
Elena S. Rotarou, Dikaios Sakellariou |
| Abstract |
Preventive health services play a vital role in population health. However, access to such services is not always equitably distributed. In this article, we examine the barriers affecting utilisation rates of preventive health services, using Chile as a case study. We conducted a cross-sectional study analysing secondary data from 206,132 Chilean adults, taken from the 2015 National Socioeconomic Characterisation Survey of the Government of Chile. We carried out logistic regressions to explore the relationship between the dependent variable use of preventive services and various demographic and socioeconomic variables. Categories more likely to use preventive services were women (OR=1.16; 95%CI: 1.11-1.21) and inactive people (OR=1.41; 95%CI: 1.33-1.48). By contrast, single individuals (OR= 0.85 ; 95%CI: 0.80-0.91) and those affiliated with the private healthcare provider (OR= 0.89; 95%CI: 0.81-0.96) had fewer odds of undertaking preventive exams. The findings underline the necessity of better information campaigns on the availability and necessity of preventive health services, addressing health inequality in accessing health services, and tackling lifestyle-related health risks. This is particularly important in countries - such as Chile - characterised by high income inequality and low utilisation rates of preventive health services. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 33% |
| Peru | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 24% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 17 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 16% |
| Nursing and Health Professions | 4 | 8% |
| Economics, Econometrics and Finance | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Business, Management and Accounting | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 19 | 39% |
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 24 July 2018.
All research outputs
#15,292,727
of 25,563,770 outputs
Outputs from BMC Public Health
#11,458
of 17,697 outputs
Outputs of similar age
#182,235
of 341,449 outputs
Outputs of similar age from BMC Public Health
#279
of 347 outputs
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