| Title |
Performance evaluation of a health insurance in Nigeria using optimal resource use: health care providers perspectives
|
|---|---|
| Published in |
BMC Health Services Research, March 2014
|
| DOI | 10.1186/1472-6963-14-127 |
| Pubmed ID | |
| Authors |
Shafiu Mohammed, Aurélia Souares, Justo Lorenzo Bermejo, Rainer Sauerborn, Hengjin Dong |
| Abstract |
Performance measures are often neglected during the transition period of national health insurance scheme implementation in many low and middle income countries. These measurements evaluate the extent to which various aspects of the schemes meet their key objectives. This study assesses the implementation of a health insurance scheme using optimal resource use domains and examines possible factors that influence each domain, according to providers' perspectives. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| Nigeria | 1 | <1% |
| Ghana | 1 | <1% |
| Unknown | 154 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 40 | 25% |
| Researcher | 21 | 13% |
| Student > Ph. D. Student | 13 | 8% |
| Student > Bachelor | 12 | 8% |
| Student > Doctoral Student | 10 | 6% |
| Other | 25 | 16% |
| Unknown | 36 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 46 | 29% |
| Nursing and Health Professions | 18 | 11% |
| Social Sciences | 14 | 9% |
| Economics, Econometrics and Finance | 11 | 7% |
| Engineering | 9 | 6% |
| Other | 17 | 11% |
| Unknown | 42 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 17 March 2014.
All research outputs
#18,367,612
of 22,749,166 outputs
Outputs from BMC Health Services Research
#6,452
of 7,614 outputs
Outputs of similar age
#160,811
of 220,990 outputs
Outputs of similar age from BMC Health Services Research
#118
of 133 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,614 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 7th percentile – i.e., 7% 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 220,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.