Publication

Acceptability of internet-based interventions for depression in Indonesia

Arjadi, R., Nauta, M. H. & Bockting, C. L. H., Sep-2018, In : Internet Interventions. 13, p. 8-15 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Arjadi, R., Nauta, M. H., & Bockting, C. L. H. (2018). Acceptability of internet-based interventions for depression in Indonesia. Internet Interventions, 13, 8-15. https://doi.org/10.1016/j.invent.2018.04.004

Author

Arjadi, Retha ; Nauta, Maaike H. ; Bockting, Claudi L. H. / Acceptability of internet-based interventions for depression in Indonesia. In: Internet Interventions. 2018 ; Vol. 13. pp. 8-15.

Harvard

Arjadi, R, Nauta, MH & Bockting, CLH 2018, 'Acceptability of internet-based interventions for depression in Indonesia', Internet Interventions, vol. 13, pp. 8-15. https://doi.org/10.1016/j.invent.2018.04.004

Standard

Acceptability of internet-based interventions for depression in Indonesia. / Arjadi, Retha; Nauta, Maaike H.; Bockting, Claudi L. H.

In: Internet Interventions, Vol. 13, 09.2018, p. 8-15.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Arjadi R, Nauta MH, Bockting CLH. Acceptability of internet-based interventions for depression in Indonesia. Internet Interventions. 2018 Sep;13:8-15. https://doi.org/10.1016/j.invent.2018.04.004


BibTeX

@article{af3d8919967c4eb3a98b3d3ffc1729d0,
title = "Acceptability of internet-based interventions for depression in Indonesia",
abstract = "Background: In Indonesia, internet-based interventions may represent a promising strategy to reduce the mental health gap given that the level of internet usage in the country continues to increase. To check the acceptability of internet-based interventions, this study investigates factors that contribute to the use of internet-based interventions for depression in Indonesia.Method: The survey was conducted online and had 904 participants recruited from specific social networks on mental health and general social media (Mean age = 27.07, 50.22{\%} females). The three dependent variables were (1) behavioral intention to start using internet-based interventions for depression, (2) preference to use it as a substitute for regular treatments and (3) preference to use it to complement regular treatments. The predictor variables included sociodemographic characteristics, perceived mental health conditions, personal situational characteristics, personal innovativeness toward online services, and depression level.Results: A large majority reported to be open to using internet-based interventions for depression (73.7{\%}), as well as to use it as a substitution (73.3{\%}) or as a complementary (73{\%}) to regular treatments. Personal innovativeness toward online services was the strongest significant predictor for all types of use, even when corrected for current depression level. When added to the analyses separately, depression level was the second strongest predictive factor for all dependent variables.Conclusion: The majority of Indonesians showed openness to use internet-based interventions for depression. To increase the adoption of internet-based interventions for depression, it is important to first promote internet usage to more people across the country, especially for those who are currently depressed.",
keywords = "Internet-based interventions, Online therapy, Depression, Mental health gap, Indonesia, SYMPTOMATOLOGY IDS, HELP-SEEKING, ACCEPTANCE, INVENTORY, INFORMATION, EVALUATE, MEN",
author = "Retha Arjadi and Nauta, {Maaike H.} and Bockting, {Claudi L. H.}",
year = "2018",
month = "9",
doi = "10.1016/j.invent.2018.04.004",
language = "English",
volume = "13",
pages = "8--15",
journal = "Internet Interventions",
issn = "2214-7829",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Acceptability of internet-based interventions for depression in Indonesia

AU - Arjadi, Retha

AU - Nauta, Maaike H.

AU - Bockting, Claudi L. H.

PY - 2018/9

Y1 - 2018/9

N2 - Background: In Indonesia, internet-based interventions may represent a promising strategy to reduce the mental health gap given that the level of internet usage in the country continues to increase. To check the acceptability of internet-based interventions, this study investigates factors that contribute to the use of internet-based interventions for depression in Indonesia.Method: The survey was conducted online and had 904 participants recruited from specific social networks on mental health and general social media (Mean age = 27.07, 50.22% females). The three dependent variables were (1) behavioral intention to start using internet-based interventions for depression, (2) preference to use it as a substitute for regular treatments and (3) preference to use it to complement regular treatments. The predictor variables included sociodemographic characteristics, perceived mental health conditions, personal situational characteristics, personal innovativeness toward online services, and depression level.Results: A large majority reported to be open to using internet-based interventions for depression (73.7%), as well as to use it as a substitution (73.3%) or as a complementary (73%) to regular treatments. Personal innovativeness toward online services was the strongest significant predictor for all types of use, even when corrected for current depression level. When added to the analyses separately, depression level was the second strongest predictive factor for all dependent variables.Conclusion: The majority of Indonesians showed openness to use internet-based interventions for depression. To increase the adoption of internet-based interventions for depression, it is important to first promote internet usage to more people across the country, especially for those who are currently depressed.

AB - Background: In Indonesia, internet-based interventions may represent a promising strategy to reduce the mental health gap given that the level of internet usage in the country continues to increase. To check the acceptability of internet-based interventions, this study investigates factors that contribute to the use of internet-based interventions for depression in Indonesia.Method: The survey was conducted online and had 904 participants recruited from specific social networks on mental health and general social media (Mean age = 27.07, 50.22% females). The three dependent variables were (1) behavioral intention to start using internet-based interventions for depression, (2) preference to use it as a substitute for regular treatments and (3) preference to use it to complement regular treatments. The predictor variables included sociodemographic characteristics, perceived mental health conditions, personal situational characteristics, personal innovativeness toward online services, and depression level.Results: A large majority reported to be open to using internet-based interventions for depression (73.7%), as well as to use it as a substitution (73.3%) or as a complementary (73%) to regular treatments. Personal innovativeness toward online services was the strongest significant predictor for all types of use, even when corrected for current depression level. When added to the analyses separately, depression level was the second strongest predictive factor for all dependent variables.Conclusion: The majority of Indonesians showed openness to use internet-based interventions for depression. To increase the adoption of internet-based interventions for depression, it is important to first promote internet usage to more people across the country, especially for those who are currently depressed.

KW - Internet-based interventions

KW - Online therapy

KW - Depression

KW - Mental health gap

KW - Indonesia

KW - SYMPTOMATOLOGY IDS

KW - HELP-SEEKING

KW - ACCEPTANCE

KW - INVENTORY

KW - INFORMATION

KW - EVALUATE

KW - MEN

U2 - 10.1016/j.invent.2018.04.004

DO - 10.1016/j.invent.2018.04.004

M3 - Article

VL - 13

SP - 8

EP - 15

JO - Internet Interventions

JF - Internet Interventions

SN - 2214-7829

ER -

ID: 59097350