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Personalized reminiscence therapy M-health application for patients living with dementia: Innovating using open source code repository
Zhang MW, Ho RC.. Technology and health care : official journal of the European Society for Engineering and Medicine, 2017-01-01
Topic: Risk, prevention and care in population studies
Dementia is known to be an illness which brings forth marked disability amongst the elderly individuals. At times, patients living with dementia do also experience non-cognitive symptoms, and these symptoms include that of hallucinations, delusional beliefs as well as emotional liability, sexualized behaviours and aggression. According to the National Institute of Clinical Excellence (NICE) guidelines, non-pharmacological techniques are typically the first-line option prior to the consideration of adjuvant pharmacological options. Reminiscence and music therapy are thus viable options. Lazar et al. [3] previously performed a systematic review with regards to the utilization of technology to delivery reminiscence based therapy to individuals who are living with dementia and has highlighted that technology does have benefits in the delivery of reminiscence therapy. However, to date, there has been a paucity of M-health innovations in this area. In addition, most of the current innovations are not personalized for each of the person living with Dementia. Prior research has highlighted the utility for open source repository in bioinformatics study. The authors hoped to explain how they managed to tap upon and make use of open source repository in the development of a personalized M-health reminiscence therapy innovation for patients living with dementia. The availability of open source code repository has changed the way healthcare professionals and developers develop smartphone applications today. Conventionally, a long iterative process is needed in the development of native application, mainly because of the need for native programming and coding, especially so if the application needs to have interactive features or features that could be personalized. Such repository enables the rapid and cost effective development of application. Moreover, developers are also able to further innovate, as less time is spend in the iterative process.
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APA 7th
Zhang, M. W., & Ho, R. C. (2017). Personalized reminiscence therapy M-health application for patients living with dementia: Innovating using open source code repository. Technology and health care : official journal of the European Society for Engineering and Medicine. https://doi.org/10.3233/thc-161253
Vancouver
Zhang MW, Ho RC. Personalized reminiscence therapy M-health application for patients living with dementia: Innovating using open source code repository. Technology and health care : official journal of the European Society for Engineering and Medicine. 2017. doi:10.3233/thc-161253. PMID: 27689553.
BibTeX
@article{zhang2017-27689553,
author = {Zhang, M. W. and Ho, R. C.},
title = {{Personalized reminiscence therapy M-health application for patients living with dementia: Innovating using open source code repository}},
journal = {Technology and health care : official journal of the European Society for Engineering and Medicine},
year = {2017},
doi = {10.3233/thc-161253},
pmid = {27689553},
url = {https://doi.org/10.3233/thc-161253}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- The authors hoped to explain how they managed to tap upon and make use of open source repository in the development of a personalized M-health reminiscence therapy innovation for patients living with dementia.
- The availability of open source code repository has changed the way healthcare professionals and developers develop smartphone applications today.
- Conventionally, a long iterative process is needed in the development of native application, mainly because of the need for native programming and coding, especially so if the application needs to have interactive features or features that could be personalized.
- Such repository enables the rapid and cost effective development of application.
- Moreover, developers are also able to further innovate, as less time is spend in the iterative process.
Study details
- Study designsystematic review
- Evidence strengthHigh
How this study scored 66/100
Published in a peer-reviewed journal, and it is a systematic review of all the studies on the question. Scored zero for sample size, effect reported and studied in people because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 38 of the 58 points we could judge it on, which is 66 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Technology and health care : official journal of the European Society for Engineering and Medicine) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 12 / 12 | A systematic review of all the studies on the question |
| Strength of evidence | 5 / 5 | Rated “high” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2017 — within 10 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | A review of other studies — randomisation is not credited here |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 27689553) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 38 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 38 of the 58 points we could judge it on is 66 out of 100. |
| Total | 66 / 100 | — |
What each of these 20 components measures, and what this score is not →
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