A Process Evaluation of a Web-Based Mental Health Portal
(WalkAlong) Using Google Analytics

J 2018

A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics

SONG, Michael Jae, John WARD, Fiona CHOI, Mohammadali NIKOO, Anastasia FRANK et. al.

Základní údaje

Originální název

A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics

Autoři

SONG, Michael Jae (124 Kanada, garant), John WARD (124 Kanada), Fiona CHOI (124 Kanada), Mohammadali NIKOO (124 Kanada), Anastasia FRANK (124 Kanada), Farhud SHAMS (124 Kanada), Katarína TABI (703 Slovensko, domácí), Daniel VIGO (124 Kanada) a Michael KRAUSZ (124 Kanada)

Vydání

JMIR MENTAL HEALTH, TORONTO, JMIR PUBLICATIONS, INC, 2018, 2368-7959

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30215 Psychiatry

Stát vydavatele

Kanada

Utajení

není předmětem státního či obchodního tajemství

Kód RIV

RIV/00216224:14110/18:00104364

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.2196/mental.8594

UT WoS

000449378700001

Klíčová slova anglicky

evaluation; Google Analytics; mental health; website

Štítky

14110516, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 20. 2. 2019 16:43, Soňa Böhmová

Anotace

V originále

Background: Despite the increasing amount of research on Web-based mental health interventions with proven efficacy, high attrition rates decrease their effectiveness. Continued process evaluations should be performed to maximize the target population's engagement. Google Analytics has been used to evaluate various health-related Web-based programs and may also be useful for Web-based mental health programs. Objective: The objective of our study was to evaluate WalkAlong.ca , a youth-oriented mental health web-portal, using Google Analytics to inform the improvement strategy for the platform and to demonstrate the use of Google Analytics as a tool for process evaluation of Web-based mental health interventions. Methods: Google Analytics was used to monitor user activity during WalkAlong's first year of operation (Nov 13, 2013-Nov 13, 2014). Selected Google Analytic variables were overall website engagement including pages visited per session, utilization rate of specific features, and user access mode and location. Results: The results included data from 3076 users viewing 29,299 pages. Users spent less average time on Mindsteps (0 minute 35 seconds) and self-exercises (1 minute 08 seconds), which are important self-help tools, compared with that on the Screener tool (3 minutes 4 seconds). Of all visitors, 82.3% (4378/5318) were desktop users, followed by 12.7 % (677/5318) mobile phone and 5.0% (263/5318) tablet users. Both direct traffic (access via URL) and referrals by email had more than 7 pages viewed per session and longer than average time of 6 minutes per session. The majority of users (67%) accessed the platform from Canada. Conclusions: Engagement and feature utilization rates are higher among people who receive personal invitations to visit the site. Low utilization rates with specific features offer a starting place for further exploration of users in order to identify the root cause. The data provided by Google Analytics, although informative, can be supplemented by other evaluation methods (ie, qualitative methods) in order to better determine the modifications required to improve user engagement. Google Analytics can play a vital role in highlighting the preferences of those using Web-based mental health tools.

Citovat

SONG, Michael Jae, John WARD, Fiona CHOI, Mohammadali NIKOO, Anastasia FRANK, Farhud SHAMS, Katarína TABI, Daniel VIGO a Michael KRAUSZ. A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics. JMIR MENTAL HEALTH. TORONTO: JMIR PUBLICATIONS, INC, 2018, roč. 5, č. 3, s. 1-10. ISSN 2368-7959. Dostupné z: https://dx.doi.org/10.2196/mental.8594.

@article{1463436,
   author = {Song, Michael Jae and Ward, John and Choi, Fiona and Nikoo, Mohammadali and Frank, Anastasia and Shams, Farhud and Tabi, Katarína and Vigo, Daniel and Krausz, Michael},
   article_location = {TORONTO},
   article_number = {3},
   doi = {http://dx.doi.org/10.2196/mental.8594},
   keywords = {evaluation; Google Analytics; mental health; website},
   language = {eng},
   issn = {2368-7959},
   journal = {JMIR MENTAL HEALTH},
   title = {A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics},
   volume = {5},
   year = {2018}
}

TY  - JOUR
ID  - 1463436
AU  - Song, Michael Jae - Ward, John - Choi, Fiona - Nikoo, Mohammadali - Frank, Anastasia - Shams, Farhud - Tabi, Katarína - Vigo, Daniel - Krausz, Michael
PY  - 2018
TI  - A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics
JF  - JMIR MENTAL HEALTH
VL  - 5
IS  - 3
SP  - 1-10
EP  - 1-10
PB  - JMIR PUBLICATIONS, INC
SN  - 23687959
KW  - evaluation
KW  - Google Analytics
KW  - mental health
KW  - website
N2  - Background: Despite the increasing amount of research on Web-based mental health interventions with proven efficacy, high attrition rates decrease their effectiveness. Continued process evaluations should be performed to maximize the target population's engagement. Google Analytics has been used to evaluate various health-related Web-based programs and may also be useful for Web-based mental health programs. Objective: The objective of our study was to evaluate WalkAlong.ca , a youth-oriented mental health web-portal, using Google Analytics to inform the improvement strategy for the platform and to demonstrate the use of Google Analytics as a tool for process evaluation of Web-based mental health interventions. Methods: Google Analytics was used to monitor user activity during WalkAlong's first year of operation (Nov 13, 2013-Nov 13, 2014). Selected Google Analytic variables were overall website engagement including pages visited per session, utilization rate of specific features, and user access mode and location. Results: The results included data from 3076 users viewing 29,299 pages. Users spent less average time on Mindsteps (0 minute 35 seconds) and self-exercises (1 minute 08 seconds), which are important self-help tools, compared with that on the Screener tool (3 minutes 4 seconds). Of all visitors, 82.3% (4378/5318) were desktop users, followed by 12.7 % (677/5318) mobile phone and 5.0% (263/5318) tablet users. Both direct traffic (access via URL) and referrals by email had more than 7 pages viewed per session and longer than average time of 6 minutes per session. The majority of users (67%) accessed the platform from Canada. Conclusions: Engagement and feature utilization rates are higher among people who receive personal invitations to visit the site. Low utilization rates with specific features offer a starting place for further exploration of users in order to identify the root cause. The data provided by Google Analytics, although informative, can be supplemented by other evaluation methods (ie, qualitative methods) in order to better determine the modifications required to improve user engagement. Google Analytics can play a vital role in highlighting the preferences of those using Web-based mental health tools.
ER  -

SONG, Michael Jae, John WARD, Fiona CHOI, Mohammadali NIKOO, Anastasia FRANK, Farhud SHAMS, Katarína TABI, Daniel VIGO a Michael KRAUSZ. A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics. \textit{JMIR MENTAL HEALTH}. TORONTO: JMIR PUBLICATIONS, INC, 2018, roč.~5, č.~3, s.~1-10. ISSN~2368-7959. Dostupné z: https://dx.doi.org/10.2196/mental.8594.

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