Elsevier

Internet Interventions

Volume 13, September 2018, Pages 8-15
Internet Interventions

Acceptability of internet-based interventions for depression in Indonesia

https://doi.org/10.1016/j.invent.2018.04.004Get rights and content
Under a Creative Commons license
open access

Highlights

  • Indonesians seem to be open to use internet-based interventions for depression.

  • Personal innovativeness toward online services is the strongest usage predictor.

  • Depression level is the second strongest usage predictor.

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.

Abbreviations

AVE
average variance extracted
B·INT
behavioral usage intention
COMP
complementary use
DIST
distance to mental health service facilities
EDU
education level
HIC
high income country
HIST
history of mental health service usage
IDS-SR
Inventory of Depressive Symptomatology-Self Report
IIAQ-ID
Internet-based Interventions Acceptability Questionnaire-Indonesia
LMIC
low-middle income country
mhGAP
mental health Gap Action Programme
P·INNOV
personal innovativeness toward online services
PERC∙MH
perceived mental healthiness
PERC∙MV
perceived mental health vulnerability
SES
socioeconomic status
SUBS
substitutive use

Keywords

Internet-based interventions
Online therapy
Depression
Mental health gap
Indonesia

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