Cargando…
The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data
BACKGROUND: Digital interventions have been shown to be effective for a variety of mental health disorders and problems. However, few studies have examined the effects of digital interventions in older adults; therefore, little is known about how older adults engage with or benefit from these interv...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482073/ https://www.ncbi.nlm.nih.gov/pubmed/36053569 http://dx.doi.org/10.2196/39851 |
_version_ | 1784791373715603456 |
---|---|
author | Boucher, Eliane Honomichl, Ryan Ward, Haley Powell, Tyler Stoeckl, Sarah Elizabeth Parks, Acacia |
author_facet | Boucher, Eliane Honomichl, Ryan Ward, Haley Powell, Tyler Stoeckl, Sarah Elizabeth Parks, Acacia |
author_sort | Boucher, Eliane |
collection | PubMed |
description | BACKGROUND: Digital interventions have been shown to be effective for a variety of mental health disorders and problems. However, few studies have examined the effects of digital interventions in older adults; therefore, little is known about how older adults engage with or benefit from these interventions. Given that adoption rates for technology among people aged ≥65 years remain substantially lower than in the general population and that approximately 20% of older adults are affected by mental health disorders, research exploring whether older adults will use and benefit from digital interventions is needed. OBJECTIVE: This study aimed to examine the extent to which older adults engaged with a digital well-being intervention (Happify) and whether engaging with this program led to improvements in both subjective well-being and anxiety symptoms. METHODS: In this retrospective analysis, we analyzed data from 375 real-world Happify users aged ≥65 years who signed up for the platform between January 1, 2019, and December 23, 2021. Changes in well-being and anxiety symptoms across 42 to 182 days were assessed using responses to the in-app assessment, which users were prompted to take every 2 weeks, and were compared among users who engaged with the program at the recommended level (ie, 2 or more activities per week) or below the recommended level. RESULTS: In all, 30% (113/375) of the sample engaged with the platform at the recommended level (ie, completed an average of 2 or more activities per week), and overall, users completed an average of 43.35 (SD 87.80) activities, ranging from 1 to 786, between their first and last assessment. Users were also active on the platform for an average of 19.36 (SD 27.16) days, ranging from 1 to 152 days. Moreover, older adults who engaged at the recommended level experienced significantly greater improvements in subjective well-being (P=.002) and anxiety symptoms (P<.001) relative to those who completed fewer activities. CONCLUSIONS: These data provide preliminary evidence that older adults engage with and benefit from digital well-being interventions. We believe that these findings highlight the importance of considering older adult populations in digital health research. More research is needed to understand potential barriers to using digital interventions among older adults and whether digital interventions should be modified to account for this population’s particular needs (eg, ensuring that the intervention is accessible using a variety of devices). However, these results are an important step in demonstrating the feasibility of such interventions in a population that is assumed to be less inclined toward digital approaches. |
format | Online Article Text |
id | pubmed-9482073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-94820732022-09-18 The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data Boucher, Eliane Honomichl, Ryan Ward, Haley Powell, Tyler Stoeckl, Sarah Elizabeth Parks, Acacia JMIR Aging Original Paper BACKGROUND: Digital interventions have been shown to be effective for a variety of mental health disorders and problems. However, few studies have examined the effects of digital interventions in older adults; therefore, little is known about how older adults engage with or benefit from these interventions. Given that adoption rates for technology among people aged ≥65 years remain substantially lower than in the general population and that approximately 20% of older adults are affected by mental health disorders, research exploring whether older adults will use and benefit from digital interventions is needed. OBJECTIVE: This study aimed to examine the extent to which older adults engaged with a digital well-being intervention (Happify) and whether engaging with this program led to improvements in both subjective well-being and anxiety symptoms. METHODS: In this retrospective analysis, we analyzed data from 375 real-world Happify users aged ≥65 years who signed up for the platform between January 1, 2019, and December 23, 2021. Changes in well-being and anxiety symptoms across 42 to 182 days were assessed using responses to the in-app assessment, which users were prompted to take every 2 weeks, and were compared among users who engaged with the program at the recommended level (ie, 2 or more activities per week) or below the recommended level. RESULTS: In all, 30% (113/375) of the sample engaged with the platform at the recommended level (ie, completed an average of 2 or more activities per week), and overall, users completed an average of 43.35 (SD 87.80) activities, ranging from 1 to 786, between their first and last assessment. Users were also active on the platform for an average of 19.36 (SD 27.16) days, ranging from 1 to 152 days. Moreover, older adults who engaged at the recommended level experienced significantly greater improvements in subjective well-being (P=.002) and anxiety symptoms (P<.001) relative to those who completed fewer activities. CONCLUSIONS: These data provide preliminary evidence that older adults engage with and benefit from digital well-being interventions. We believe that these findings highlight the importance of considering older adult populations in digital health research. More research is needed to understand potential barriers to using digital interventions among older adults and whether digital interventions should be modified to account for this population’s particular needs (eg, ensuring that the intervention is accessible using a variety of devices). However, these results are an important step in demonstrating the feasibility of such interventions in a population that is assumed to be less inclined toward digital approaches. JMIR Publications 2022-09-02 /pmc/articles/PMC9482073/ /pubmed/36053569 http://dx.doi.org/10.2196/39851 Text en ©Eliane Boucher, Ryan Honomichl, Haley Ward, Tyler Powell, Sarah Elizabeth Stoeckl, Acacia Parks. Originally published in JMIR Aging (https://aging.jmir.org), 02.09.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on https://aging.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Boucher, Eliane Honomichl, Ryan Ward, Haley Powell, Tyler Stoeckl, Sarah Elizabeth Parks, Acacia The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data |
title | The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data |
title_full | The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data |
title_fullStr | The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data |
title_full_unstemmed | The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data |
title_short | The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data |
title_sort | effects of a digital well-being intervention on older adults: retrospective analysis of real-world user data |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482073/ https://www.ncbi.nlm.nih.gov/pubmed/36053569 http://dx.doi.org/10.2196/39851 |
work_keys_str_mv | AT bouchereliane theeffectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata AT honomichlryan theeffectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata AT wardhaley theeffectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata AT powelltyler theeffectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata AT stoecklsarahelizabeth theeffectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata AT parksacacia theeffectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata AT bouchereliane effectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata AT honomichlryan effectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata AT wardhaley effectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata AT powelltyler effectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata AT stoecklsarahelizabeth effectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata AT parksacacia effectsofadigitalwellbeinginterventiononolderadultsretrospectiveanalysisofrealworlduserdata |