Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Social distancing guidelines during COVID can be isolating, especially for older adults, with potential for poor health outcomes. Technology offers opportunities for remote connection, yet, older adults' use of and perspectives on technology during this time remain largely unknown. The purpose of this study was to gain insight into older adults' technology use and preferences to inform the development of a technology training intervention to support older adult well-being. Semi-structured interviews were conducted with 30 older adults. Interviews were analyzed using an iterative, constant comparison approach. Findings were consistent with Socioemotional Selectivity Theory; respondents were primarily interested in technology to support emotionally meaningful goals. Participants indicated limited interest in technology training, referencing diminished future time perspectives to explain disinterest. Findings suggest that efforts to encourage older adults' expanded technology adoption should highlight how use supports emotionally meaningful goals and provide low-effort, timely training, tied to specific and clear applications.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238791 | PMC |
http://dx.doi.org/10.1177/0733464821996864 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!