TY - JOUR
T1 - The Empowering Role of Web-Based Help Seeking on Depressive Symptoms
T2 - Systematic Review and Meta-analysis
AU - Bizzotto, Nicole
AU - Marciano, Laura
AU - de Bruijn, Gert Jan
AU - Schulz, Peter Johannes
N1 - Funding Information:
This work was supported by the Swiss National Science Foundation under grants 200396 and P500PS_202974. The authors acknowledge the assistance of Stefano Giani (University of Amsterdam) in the systematic literature search. Authors also thank Jasmin Brummer for her help in the title and abstract screening.
Publisher Copyright:
©Nicole Bizzotto, Laura Marciano, Gert-Jan de Bruijn, Peter Johannes Schulz.
PY - 2023
Y1 - 2023
N2 - Background: Most research on web-based help seeking for mental health problems has focused on the antecedents of this behavior. Therefore, little is known about the outcomes of web-based help seeking in general or in specific mental health issues. Objective: This study was a systematic review and meta-analysis of the literature on the antecedents and consequences of web-based help-seeking behaviors for depressive symptoms. Methods: A systematic literature search was carried out in 6 scientific databases, leading to 48 studies (for a total of 314,921 participants) included in the qualitative synthesis and 19 included in the meta-analysis. Results: The results indicated a positive relationship between depressive symptoms and web-based help-seeking behaviors through online support groups (r=0.089; P=.009), and Generation Z (r=0.102; P=.008) tended to participate in support groups more than previous generations. In addition, web-based help seeking was positively related to empowerment (r=0.245; P=.004). Other forms of support reported included the internet and specific self-help tools, but no significant relationships were found with depressive symptoms. Conclusions: More studies examining the outcomes are needed, together with a more rigorous assessment of web-based help-seeking behaviors. Ultimately, we propose a summary framework for the literature on this topic, including the antecedents, patterns of use, and outcomes of web-based help seeking in the context of depressive symptoms.
AB - Background: Most research on web-based help seeking for mental health problems has focused on the antecedents of this behavior. Therefore, little is known about the outcomes of web-based help seeking in general or in specific mental health issues. Objective: This study was a systematic review and meta-analysis of the literature on the antecedents and consequences of web-based help-seeking behaviors for depressive symptoms. Methods: A systematic literature search was carried out in 6 scientific databases, leading to 48 studies (for a total of 314,921 participants) included in the qualitative synthesis and 19 included in the meta-analysis. Results: The results indicated a positive relationship between depressive symptoms and web-based help-seeking behaviors through online support groups (r=0.089; P=.009), and Generation Z (r=0.102; P=.008) tended to participate in support groups more than previous generations. In addition, web-based help seeking was positively related to empowerment (r=0.245; P=.004). Other forms of support reported included the internet and specific self-help tools, but no significant relationships were found with depressive symptoms. Conclusions: More studies examining the outcomes are needed, together with a more rigorous assessment of web-based help-seeking behaviors. Ultimately, we propose a summary framework for the literature on this topic, including the antecedents, patterns of use, and outcomes of web-based help seeking in the context of depressive symptoms.
KW - depressive symptoms
KW - empowerment
KW - internet
KW - mental health
KW - support groups
KW - web-based help-seeking
UR - http://www.scopus.com/inward/record.url?scp=85147319180&partnerID=8YFLogxK
U2 - 10.2196/36964
DO - 10.2196/36964
M3 - Review article
C2 - 36729571
AN - SCOPUS:85147319180
SN - 1438-8871
VL - 25
JO - Journal of Medical Internet Research
JF - Journal of Medical Internet Research
M1 - e36964
ER -