| Title |
Differing types of medical prevention appeal to different individuals
|
|---|---|
| Published in |
HEPAC Health Economics in Prevention and Care, July 2015
|
| DOI | 10.1007/s10198-015-0709-6 |
| Pubmed ID | |
| Authors |
Nicolas Bouckaert, Erik Schokkaert |
| Abstract |
We analyze participation in medical prevention with an expected utility model that is sufficiently rich to capture diverging features of different prevention procedures. The predictions of the model are not rejected with data from SHARE. A decrease in individual health decreases participation in breast cancer screening and dental prevention and increases participation in influenza vaccination, cholesterol screening, blood pressure screening, and blood sugar screening. Positive income effects are most pronounced for dental prevention. Increased mortality risk is an important predictor in the model for breast cancer screening, but not for the other procedures. Targeted screening and vaccination programs increase participation. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Student > Master | 10 | 14% |
| Student > Ph. D. Student | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Other | 15 | 21% |
| Unknown | 19 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 29% |
| Nursing and Health Professions | 6 | 9% |
| Economics, Econometrics and Finance | 5 | 7% |
| Agricultural and Biological Sciences | 4 | 6% |
| Psychology | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 24 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 July 2015.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#899
of 1,303 outputs
Outputs of similar age
#154,917
of 275,144 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#14
of 21 outputs
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