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Mendeley readers
Attention Score in Context
| Title |
Determinants of access to healthcare by older persons in Uganda: a cross-sectional study
|
|---|---|
| Published in |
International Journal for Equity in Health, March 2015
|
| DOI | 10.1186/s12939-015-0157-z |
| Pubmed ID | |
| Authors |
Stephen Ojiambo Wandera, Betty Kwagala, James Ntozi |
| Abstract |
Older persons report poor health status and greater need for healthcare. However, there is limited research on older persons' healthcare disparities in Uganda. Therefore, this paper aimed at investigating factors associated with older persons' healthcare access in Uganda, using a nationally representative sample. We conducted secondary analysis of data from a sample of 1602 older persons who reported being sick in the last 30 days preceding the Uganda National Household Survey. We used frequency distributions for descriptive data analysis and chi-square tests to identify initial associations. We fit generalized linear models (GLM) with the poisson family and the log link function, to obtain incidence risk ratios (RR) of accessing healthcare in the last 30 days, by older persons in Uganda. More than three quarters (76%) of the older persons accessed healthcare in the last 30 days. Access to healthcare in the last 30 days was reduced for older persons from poor households (RR = 0.91, 95% CI: 0.83-0.99); with some walking difficulty (RR = 0.90, 95% CI: 0.83-0.97); or with a lot of walking difficulty (RR = 0.84, 95% CI: 0.75-0.95). Conversely, accessing healthcare in the last 30 days for older persons increased for those who earned wages (RR = 1.08, 95% CI: 1.00-1.15) and missed work due to illness for 1-7 days (RR = 1.19, 95% CI: 1.10-1.30); and 8-14 days (RR = 1.19, 95% CI: 1.07-1.31). In addition, those who reported non-communicable diseases (NCDs) such as heart disease, hypertension or diabetes (RR = 1.09, 95% CI: 1.01-1.16); were more likely to access healthcare during the last 30 days. In the Ugandan context, health need factors (self-reported NCDs, severity of illness and mobility limitations) and enabling factors (household wealth status and earning wages in particular) were the most important determinants of accessing healthcare in the last 30 days among older persons. |
Mendeley readers
The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 176 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 42 | 24% |
| Student > Ph. D. Student | 20 | 11% |
| Lecturer | 11 | 6% |
| Student > Doctoral Student | 11 | 6% |
| Student > Bachelor | 11 | 6% |
| Other | 36 | 20% |
| Unknown | 45 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 36 | 20% |
| Medicine and Dentistry | 29 | 16% |
| Nursing and Health Professions | 25 | 14% |
| Economics, Econometrics and Finance | 11 | 6% |
| Arts and Humanities | 6 | 3% |
| Other | 20 | 11% |
| Unknown | 49 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 13 November 2017.
All research outputs
#1,638,968
of 23,007,887 outputs
Outputs from International Journal for Equity in Health
#244
of 1,923 outputs
Outputs of similar age
#22,206
of 259,217 outputs
Outputs of similar age from International Journal for Equity in Health
#2
of 18 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 87% 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 259,217 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.