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
We currently see an interdisciplinary shift toward a "participatory turn" in health research and promotion under which community engagement, shared decision making and planning, and the use of visual and digital methods have become paramount. Digital storytelling (DST) is one such innovative and engaging method increasingly used in applied health interventions, with a growing body of research identifying its value. Despite its increasing use, a standard approach to empirically assess the impacts on individuals participating in DST interventions does not currently exist. In this article, we define DST as a distinct narrative intervention, illustrate key elements that inform the methodology, and present a conceptual model to examine how DST may contribute to increased socioemotional well-being and bolster positive health outcomes. Our proposed model is informed by elements of narrative theory, Freirian conscientization, multimodality, and social cognitive theory and can serve as a guide for public health practitioners and researchers interested in assessing the potential benefits of DST as an applied health intervention. Recommendations for practice call for a rigorous methodological approach to apply and test this model across a range of health contexts and populations.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/1524839918825130 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!