| Title |
Combining e‐mental health intervention development with human computer interaction (HCI) design to enhance technology‐facilitated recovery for people with depression and/or anxiety conditions: An integrative literature review
|
|---|---|
| Published in |
International Journal of Mental Health Nursing, August 2018
|
| DOI | 10.1111/inm.12527 |
| Pubmed ID | |
| Authors |
Amalie Søgaard Neilsen, Rhonda L. Wilson |
| Abstract |
Computer scientists contend that understanding human computer interaction (HCI) is an important factor in developing successful computer user experiences. Mental health professionals across a range of disciplines are increasingly developing and implementing Internet-based treatments for people with a variety of mental health conditions. Many therapeutic and economic benefits are associated with technology-enabled treatments for a range of mental health disorders. Despite this, the role of HCI and associated design elements remains poorly understood in regard to the impact on patient safety, effectiveness, and to adherence of treatment for computer users who engage with e-mental health interventions. An integrative literature review was conducted to investigate how adequately HCI and user-centred design is incorporated in the development of e-mental health interventions for depression and anxiety, and subsequently reported in literature to inform evidence-based practice. The PRISMA model was used to locate, select, and include 30 relevant articles. The main finding of this review is that Internet-based e-mental health interventions are routinely implemented without sufficiently describing the relevant HCI design features applied. This is a limitation that in turn jeopardizes the assessment validity of e-mental interventions generally, leaving those who administer the interventions with incomplete evidence to support the safe, reliable, dependable, credible, and trustworthy implementation of the interventions. The recommendation arising from this review is that human computer interaction should be carefully considered when mental health nurses and other practitioners adopt e-mental health interventions for therapeutic purposes to assure the quality and safety of e-mental health interventions on offer to patients. |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 6 | 22% |
| United Kingdom | 3 | 11% |
| Spain | 2 | 7% |
| Canada | 2 | 7% |
| Colombia | 1 | 4% |
| Sweden | 1 | 4% |
| Netherlands | 1 | 4% |
| Curaçao | 1 | 4% |
| Unknown | 10 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 52% |
| Practitioners (doctors, other healthcare professionals) | 6 | 22% |
| Scientists | 6 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 219 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 13% |
| Student > Bachelor | 25 | 11% |
| Student > Master | 23 | 11% |
| Student > Doctoral Student | 20 | 9% |
| Researcher | 18 | 8% |
| Other | 23 | 11% |
| Unknown | 82 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 31 | 14% |
| Computer Science | 25 | 11% |
| Nursing and Health Professions | 17 | 8% |
| Medicine and Dentistry | 16 | 7% |
| Social Sciences | 9 | 4% |
| Other | 30 | 14% |
| Unknown | 91 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 09 August 2020.
All research outputs
#1,292,143
of 25,754,670 outputs
Outputs from International Journal of Mental Health Nursing
#98
of 1,570 outputs
Outputs of similar age
#26,650
of 343,398 outputs
Outputs of similar age from International Journal of Mental Health Nursing
#5
of 30 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,570 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done particularly well, scoring higher than 93% of its peers.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.