| Title |
Determinants of the intention to use e-Health by community dwelling older people
|
|---|---|
| Published in |
BMC Health Services Research, March 2015
|
| DOI | 10.1186/s12913-015-0765-8 |
| Pubmed ID | |
| Authors |
Anke J E de Veer, José M Peeters, Anne EM Brabers, Francois G Schellevis, Jany JD JM Rademakers, Anneke L Francke |
| Abstract |
In the future, an increasing number of elderly people will be asked to accept care delivered through the Internet. For example, health-care professionals can provide treatment or support via telecare. But do elderly people intend to use such so-called e-Health applications? The objective of this study is to gain insight into the intention of older people, i.e. the elderly of the future, to use e-Health applications. Using elements of the Unified Theory of Acceptance and Use of Technology (UTAUT), we hypothesized that their intention is related to the belief that e-Health will help (performance expectancy), the perceived ease of use (effort expectancy), the beliefs of important others (social influence), and the self-efficacy concerning Internet usage. A pre-structured questionnaire was completed by 1014 people aged between 57 and 77 (response 67%). The hypothesized relationships were tested using nested linear regression analyses. If offered an e-Health application in the future, 63.1% of the respondents would definitely or probably use it. In general, people with a lower level of education had less intention of using e-Health. The majority of respondents perceived e-Health as easy to use (60.8%) and easy to learn (68.4%), items that constitute the scale for effort expectancy. Items in the performance expectancy scale generally scored lower: 45.8% perceived e-Health as useful and 38.2% perceived it as a pleasant way to interact. The tested model showed that expected performance and effort were highly related to intention to use e-Health. In addition, self-efficacy was related to intention to use while social influence was not. Acceptance of e-Health can be increased by informing people about the potential benefits of e-Health and letting them practice with the application. Special attention should be paid to people with less education and people who have not used the Internet before. |
X Demographics
The data shown below were collected from the profiles of 7 X users 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 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 401 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | <1% |
| Malaysia | 1 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 395 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 68 | 17% |
| Student > Master | 53 | 13% |
| Researcher | 42 | 10% |
| Student > Bachelor | 34 | 8% |
| Lecturer | 18 | 4% |
| Other | 70 | 17% |
| Unknown | 116 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 51 | 13% |
| Medicine and Dentistry | 41 | 10% |
| Computer Science | 36 | 9% |
| Social Sciences | 35 | 9% |
| Nursing and Health Professions | 33 | 8% |
| Other | 75 | 19% |
| Unknown | 130 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 August 2015.
All research outputs
#7,403,004
of 25,959,914 outputs
Outputs from BMC Health Services Research
#3,529
of 8,797 outputs
Outputs of similar age
#81,247
of 280,958 outputs
Outputs of similar age from BMC Health Services Research
#35
of 94 outputs
Altmetric has tracked 25,959,914 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,797 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 59% 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 280,958 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.