Publication

Guided internet interventions for depression: impact of sociodemographic factors on treatment outcome in Indonesia

van der Wal, J. M., Arjadi, R., Nauta, M. H., Burger, H. & Bockting, C. L. H., Jul-2020, In : Behaviour Research and Therapy. 130, 5 p., 103589.

Research output: Contribution to journalArticleAcademicpeer-review

APA

van der Wal, J. M., Arjadi, R., Nauta, M. H., Burger, H., & Bockting, C. L. H. (2020). Guided internet interventions for depression: impact of sociodemographic factors on treatment outcome in Indonesia. Behaviour Research and Therapy, 130, [103589]. https://doi.org/10.1016/j.brat.2020.103589

Author

van der Wal, Junus M. ; Arjadi, Retha ; Nauta, Maaike H. ; Burger, Huibert ; Bockting, Claudi L. H. / Guided internet interventions for depression : impact of sociodemographic factors on treatment outcome in Indonesia. In: Behaviour Research and Therapy. 2020 ; Vol. 130.

Harvard

van der Wal, JM, Arjadi, R, Nauta, MH, Burger, H & Bockting, CLH 2020, 'Guided internet interventions for depression: impact of sociodemographic factors on treatment outcome in Indonesia', Behaviour Research and Therapy, vol. 130, 103589. https://doi.org/10.1016/j.brat.2020.103589

Standard

Guided internet interventions for depression : impact of sociodemographic factors on treatment outcome in Indonesia. / van der Wal, Junus M.; Arjadi, Retha; Nauta, Maaike H.; Burger, Huibert; Bockting, Claudi L. H.

In: Behaviour Research and Therapy, Vol. 130, 103589, 07.2020.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

van der Wal JM, Arjadi R, Nauta MH, Burger H, Bockting CLH. Guided internet interventions for depression: impact of sociodemographic factors on treatment outcome in Indonesia. Behaviour Research and Therapy. 2020 Jul;130. 103589. https://doi.org/10.1016/j.brat.2020.103589


BibTeX

@article{37b029c3f4814d9991dcc7e788352499,
title = "Guided internet interventions for depression: impact of sociodemographic factors on treatment outcome in Indonesia",
abstract = "Depression is the leading cause of disability worldwide, but an alarming treatment gap exists, especially in lower- and middle income countries (LMIC), where people are exposed to many societal and sociodemographic risk factors. As internet access increases in LMIC, online interventions could decrease this gap, especially when shown suitable for all demographics, including vulnerable groups with low socioeconomic status (SES). We used mixed-model analysis to explore moderating effects of sociodemographic factors (age, sex, education level, SES and urbanicity) on treatment effect in a recent trial in Indonesia, comparing guided online behavioral activation versus online psychoeducation only for depression, in 313 participants from (sub)urban areas. Outcome measures were self-reported Patient Health Questionnaire 9 (PHQ-9) and Inventory of Depressive Symptomatology (IDS-SR). Without correction for multiple testing, we found urbanicity to moderate treatment effect, with stronger treatment effect in suburban relative to urban participants (IDS-SR 24 weeks past baseline, p = 0.04) and a trend towards moderation by SES, with stronger treatment effect in low SES groups (PHQ-9 10 weeks past baseline, p = 0.07). These exploratory results suggest online treatments are a promising mental health intervention for all demographics in a (sub)urban LMIC setting, but hypothesis-testing studies including rural participants are warranted.",
keywords = "Depression, Internet intervention, Treatment effect, Moderators, Sociodemographic factors, Lay counsellor, Dropout rates, Lower- and middle income country, Indonesia, COGNITIVE-BEHAVIORAL THERAPY, MIDDLE-INCOME COUNTRIES, MENTAL-DISORDERS, PREDICTORS, POVERTY",
author = "{van der Wal}, {Junus M.} and Retha Arjadi and Nauta, {Maaike H.} and Huibert Burger and Bockting, {Claudi L. H.}",
note = "Copyright {\textcopyright} 2020 Elsevier Ltd. All rights reserved.",
year = "2020",
month = jul,
doi = "10.1016/j.brat.2020.103589",
language = "English",
volume = "130",
journal = "Behaviour Research and Therapy",
issn = "0005-7967",
publisher = "PERGAMON-ELSEVIER SCIENCE LTD",

}

RIS

TY - JOUR

T1 - Guided internet interventions for depression

T2 - impact of sociodemographic factors on treatment outcome in Indonesia

AU - van der Wal, Junus M.

AU - Arjadi, Retha

AU - Nauta, Maaike H.

AU - Burger, Huibert

AU - Bockting, Claudi L. H.

N1 - Copyright © 2020 Elsevier Ltd. All rights reserved.

PY - 2020/7

Y1 - 2020/7

N2 - Depression is the leading cause of disability worldwide, but an alarming treatment gap exists, especially in lower- and middle income countries (LMIC), where people are exposed to many societal and sociodemographic risk factors. As internet access increases in LMIC, online interventions could decrease this gap, especially when shown suitable for all demographics, including vulnerable groups with low socioeconomic status (SES). We used mixed-model analysis to explore moderating effects of sociodemographic factors (age, sex, education level, SES and urbanicity) on treatment effect in a recent trial in Indonesia, comparing guided online behavioral activation versus online psychoeducation only for depression, in 313 participants from (sub)urban areas. Outcome measures were self-reported Patient Health Questionnaire 9 (PHQ-9) and Inventory of Depressive Symptomatology (IDS-SR). Without correction for multiple testing, we found urbanicity to moderate treatment effect, with stronger treatment effect in suburban relative to urban participants (IDS-SR 24 weeks past baseline, p = 0.04) and a trend towards moderation by SES, with stronger treatment effect in low SES groups (PHQ-9 10 weeks past baseline, p = 0.07). These exploratory results suggest online treatments are a promising mental health intervention for all demographics in a (sub)urban LMIC setting, but hypothesis-testing studies including rural participants are warranted.

AB - Depression is the leading cause of disability worldwide, but an alarming treatment gap exists, especially in lower- and middle income countries (LMIC), where people are exposed to many societal and sociodemographic risk factors. As internet access increases in LMIC, online interventions could decrease this gap, especially when shown suitable for all demographics, including vulnerable groups with low socioeconomic status (SES). We used mixed-model analysis to explore moderating effects of sociodemographic factors (age, sex, education level, SES and urbanicity) on treatment effect in a recent trial in Indonesia, comparing guided online behavioral activation versus online psychoeducation only for depression, in 313 participants from (sub)urban areas. Outcome measures were self-reported Patient Health Questionnaire 9 (PHQ-9) and Inventory of Depressive Symptomatology (IDS-SR). Without correction for multiple testing, we found urbanicity to moderate treatment effect, with stronger treatment effect in suburban relative to urban participants (IDS-SR 24 weeks past baseline, p = 0.04) and a trend towards moderation by SES, with stronger treatment effect in low SES groups (PHQ-9 10 weeks past baseline, p = 0.07). These exploratory results suggest online treatments are a promising mental health intervention for all demographics in a (sub)urban LMIC setting, but hypothesis-testing studies including rural participants are warranted.

KW - Depression

KW - Internet intervention

KW - Treatment effect

KW - Moderators

KW - Sociodemographic factors

KW - Lay counsellor

KW - Dropout rates

KW - Lower- and middle income country

KW - Indonesia

KW - COGNITIVE-BEHAVIORAL THERAPY

KW - MIDDLE-INCOME COUNTRIES

KW - MENTAL-DISORDERS

KW - PREDICTORS

KW - POVERTY

U2 - 10.1016/j.brat.2020.103589

DO - 10.1016/j.brat.2020.103589

M3 - Article

C2 - 32220473

VL - 130

JO - Behaviour Research and Therapy

JF - Behaviour Research and Therapy

SN - 0005-7967

M1 - 103589

ER -

ID: 122641748