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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long working hours in the healthcare system of the Belo Horizonte municipality, Brazil: a population-based cross-sectional survey
|
|---|---|
| Published in |
Human Resources for Health, April 2017
|
| DOI | 10.1186/s12960-017-0203-6 |
| Pubmed ID | |
| Authors |
Juliana M. Andrade, Ada A. Assunção, Mery N. S. Abreu |
| Abstract |
Health personnel are key players in developing and improving healthcare systems, caring for individuals and their communities, and helping improve quality of life. However, these professionals are often exposed to long working hours because of the pressing need for their services at potentially any time of day. The long working hours they endure are a major risk factor for both acute and chronic health problems. The present study aimed to analyze occurrences of long working hours and their association with individual characteristics and employment factors among workers in the municipal healthcare system in Belo Horizonte, Brazil. In this cross-sectional study, a ramdomly selected proportional sample of 1549 participants was analyzed from among the total of 13 602 workers in the Belo Horizonte municipal healthcare system in 2009. "Long" working hours were defined as >44 h/week. A self-administered questionnaire was used for accumulating data. Associations with outcomes were estimated using logistic regression, in univariate and multivariate models. The rate of occurrence of long working hours was 31.4% (95% CI 29.1-33.7). Lower educational level (high school, technical, or uncompleted undergraduate [OR 0.60, 95% CI 0.47-0.78 p < 0.001], or elementary [OR 0.33, 95% CI 0.19-0.55 p < 0.001]) was associated with a lower likelihood of self-reporting long working hours in relation to the group with the highest educational level (completed undergraduate or postgraduate). Male sex (OR 1.62, 95% CI 1.26-2.09 p < 0.001), having children (PR 1.54, 95% CI 1.20-1.97 p = 0.001), and being in the healthcare provider group (OR 1.82, 95% CI 1.40-2.35 p < 0.001) were factors associated with greater likelihood of long working hours. It was observed that number of long weekly working hours was related to individual characteristics and employment factors. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
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 | 8 | 16% |
| Researcher | 5 | 10% |
| Student > Ph. D. Student | 5 | 10% |
| Other | 4 | 8% |
| Professor | 3 | 6% |
| Other | 10 | 20% |
| Unknown | 14 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 18% |
| Nursing and Health Professions | 7 | 14% |
| Social Sciences | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Sports and Recreations | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 18 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 May 2017.
All research outputs
#14,605,790
of 25,382,440 outputs
Outputs from Human Resources for Health
#956
of 1,261 outputs
Outputs of similar age
#159,158
of 323,266 outputs
Outputs of similar age from Human Resources for Health
#13
of 15 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,261 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one is in the 23rd percentile – i.e., 23% 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 323,266 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.