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Mendeley readers
Attention Score in Context
| Title |
Cost-effectiveness analysis of the national decentralization policy of antiretroviral treatment programme in Zambia
|
|---|---|
| Published in |
Cost Effectiveness and Resource Allocation, April 2017
|
| DOI | 10.1186/s12962-017-0065-8 |
| Pubmed ID | |
| Authors |
Shinsuke Miyano, Gardner Syakantu, Kenichi Komada, Hiroyoshi Endo, Tomohiko Sugishita |
| Abstract |
In resource-limited settings with a high prevalence of human immunodeficiency virus (HIV) infection such as Zambia, decentralization of HIV/acquired immunodeficiency syndrome (HIV/AIDS) treatment and care with effective use of resources is a cornerstone of universal treatment and care. This research aims to analyse the cost effectiveness of the National Mobile Antiretroviral Therapy (ART) Services Programme in Zambia as a means of decentralizing ART services. Cost-effectiveness analyses were performed using a decision analytic model and Markov model to compare the original ART programme, 'Hospital-based ART', with the intervention programme, Hospital-based plus 'Mobile ART', from the perspective of the district government health office in Zambia. The total cost of ART services, quality-adjusted life years (QALYs) and incremental cost-effectiveness ratios (ICERs) were examined. The mean annual per-patient costs were 1259.16 USD for the original programme and 2601.02 USD for the intervention programme, while the mean number of QALYs was 6.81 for the original and 7.27 for the intervention programme. The ICER of the intervention programme relative to the original programme was 2965.17 USD/QALY, which was much below the willingness-to-pay (WTP), or three times the GDP per capita (4224 USD), but still over the GDP per capita (1408 USD). In the sensitivity analysis, the ICER of the intervention programme did not substantially change. The National Mobile ART Services Programme in Zambia could be a cost-effective approach to decentralizing ART services into rural areas in Zambia. This programme could be expanded to more districts where it has not yet been introduced to improve access to ART services and the health of people living with HIV (PLHIV) in rural areas. |
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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 26% |
| Researcher | 8 | 12% |
| Student > Bachelor | 7 | 11% |
| Student > Ph. D. Student | 6 | 9% |
| Lecturer | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 17 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 17% |
| Nursing and Health Professions | 8 | 12% |
| Economics, Econometrics and Finance | 4 | 6% |
| Social Sciences | 3 | 5% |
| Engineering | 3 | 5% |
| Other | 17 | 26% |
| Unknown | 19 | 29% |
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 27 May 2017.
All research outputs
#18,541,268
of 22,963,381 outputs
Outputs from Cost Effectiveness and Resource Allocation
#359
of 430 outputs
Outputs of similar age
#235,826
of 310,001 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#6
of 7 outputs
Altmetric has tracked 22,963,381 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 430 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 310,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.