| Title |
An Economic Evaluation of the Parent–Child Assistance Program for Preventing Fetal Alcohol Spectrum Disorder in Alberta, Canada
|
|---|---|
| Published in |
Administration and Policy in Mental Health and Mental Health Services Research, January 2014
|
| DOI | 10.1007/s10488-014-0537-5 |
| Pubmed ID | |
| Authors |
Nguyen Xuan Thanh, Egon Jonsson, Jessica Moffatt, Liz Dennett, Anderson W. Chuck, Shelley Birchard |
| Abstract |
Parent-Child Assistance Program (P-CAP) is a 3-year home visitation/harm reduction intervention to prevent alcohol exposed births, thereby births with fetal alcohol spectrum disorder, among high-risk women. This article used a decision analytic modeling technique to estimate the incremental cost-effectiveness ratio and the net monetary benefit of the P-CAP within the Alberta Fetal Alcohol Spectrum Disorder Service Networks in Canada. The results indicate that the P-CAP is cost-effective and support placing a high priority not only on reducing alcohol use during pregnancy, but also on providing effective contraceptive measures when a program is launched. |
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 % |
|---|---|---|
| United States | 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 60 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 21% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Master | 6 | 10% |
| Other | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Other | 12 | 19% |
| Unknown | 15 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 23% |
| Psychology | 8 | 13% |
| Nursing and Health Professions | 6 | 10% |
| Economics, Econometrics and Finance | 5 | 8% |
| Social Sciences | 4 | 6% |
| Other | 6 | 10% |
| Unknown | 19 | 31% |
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 01 February 2014.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from Administration and Policy in Mental Health and Mental Health Services Research
#651
of 670 outputs
Outputs of similar age
#271,514
of 312,635 outputs
Outputs of similar age from Administration and Policy in Mental Health and Mental Health Services Research
#7
of 7 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 670 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 1st percentile – i.e., 1% 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 312,635 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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.