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Harnessing digital health interventions to bridge the gap in prevention for older adults
Kim Daniels, Bruno Bonnechère. Frontiers in Public Health, 2024-01-08
Topic: Health services, long-term care and technology
The health issues associated with aging not only have a significant impact on the overall well-being of older individuals but also puts a lot of pressure of the healthcare system (3). The potential for altering public health methods and improving healthcare solutions for older individuals globally is considerable through the seamless integration of these technologies into preventive initiatives (13,14).Falls and sarcopenia are prominent health issues that exert a substantial influence on the overall welfare and autonomy of elderly individuals. Sarcopenia, an age-related phenomenon characterized by the progressive reduction in muscle mass and strength, is a significant factor in the development of frailty and functional decline among older adults (20). This capability empowers healthcare providers to mitigate the likelihood of falls and enhance overall mobility.In conjunction with fall prevention, mobile applications present considerable opportunities for strength training and tele-rehabilitation among the elderly population (24). These applications have the ability to provide personalized workout routines that specifically focus on particular muscle groups, hence assisting in the reduction of sarcopenia's impact and enhancing overall physical functionality (25). In addition, the use of mobile applications for telerehabilitation facilitates the provision of rehabilitation services from a distance, therefore offering significant advantages to elderly individuals residing in geographically isolated or underserved regions. These disorders not only have an impact on an individual's cognitive ability but also have substantial effects on their daily functioning and overall quality of life. The consistent utilization of these applications has demonstrated promise in augmenting cognitive functioning and fostering neuroplasticity among older adults (33). The provision of sufficient training and assistance for older persons in the utilization of digital technologies has the potential to enhance their self-assurance and self-efficacy and ease in engaging with these treatments for the purpose of promoting their health and overall wellbeing. Digital health treatments have the potential to significantly narrow the healthcare disparity among older individuals in low-and middle-income countries by effectively acknowledging and tackling the obstacles related to limited resources, cultural diversity, and adoption of technology (41). This framework offers a comprehensive pers
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Daniels, K., & Bonnechère, B. (2024). Harnessing digital health interventions to bridge the gap in prevention for older adults. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2023.1281923
Vancouver
Daniels K, Bonnechère B. Harnessing digital health interventions to bridge the gap in prevention for older adults. Frontiers in Public Health. 2024. doi:10.3389/fpubh.2023.1281923. PMID: 38259780.
BibTeX
@article{daniels2024-38259780,
author = {Daniels, Kim and Bonnechère, Bruno},
title = {{Harnessing digital health interventions to bridge the gap in prevention for older adults}},
journal = {Frontiers in Public Health},
year = {2024},
doi = {10.3389/fpubh.2023.1281923},
pmid = {38259780},
url = {https://doi.org/10.3389/fpubh.2023.1281923}
}
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 health issues associated with aging not only have a significant impact on the overall well-being of older individuals but also puts a lot of pressure of the healthcare system (3).
- The potential for altering public health methods and improving healthcare solutions for older individuals globally is considerable through the seamless integration of these technologies into preventive initiatives (13,14).Falls and sarcopenia are prominent health issues that exert a substantial influence on the overall welfare and autonomy of elderly individuals.
- Sarcopenia, an age-related phenomenon characterized by the progressive reduction in muscle mass and strength, is a significant factor in the development of frailty and functional decline among older adults (20).
- This capability empowers healthcare providers to mitigate the likelihood of falls and enhance overall mobility.In conjunction with fall prevention, mobile applications present considerable opportunities for strength training and tele-rehabilitation among the elderly population (24).
- These applications have the ability to provide personalized workout routines that specifically focus on particular muscle groups, hence assisting in the reduction of sarcopenia's impact and enhancing overall physical functionality (25).
Study details
- Evidence strengthLow
How this study scored 45/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded 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 26 of the 58 points we could judge it on, which is 45 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Frontiers in Public Health) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2024 — within 3 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 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| 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 38259780) |
| Free to read | 2 / 2 | Free to read |
| Points | 26 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 26 of the 58 points we could judge it on is 45 out of 100. |
| Total | 45 / 100 | — |
What each of these 20 components measures, and what this score is not →
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