Evidence map›Paper›PMID 30206513›Full record

ArticleInternet interventions2018

Acceptability of internet-based interventions for depression in Indonesia.

Retha Arjadi, Maaike H Nauta, Claudi L H Bockting

Abstract read
In one paragraph

Article in Internet interventions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Retha ArjadiFaculty of Psychology, Atma Jaya Catholic University of Indonesia, Jl. Jendral Sudirman No.51, Jakarta Selatan, 12930, DKI Jakarta, Indonesia.
Maaike H NautaDepartment of Clinical Psychology and Experimental Psychopathology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS Groningen, The Netherlands.
Claudi L H BocktingDepartment of Clinical Psychology and Experimental Psychopathology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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.

methodThe 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.

resultsA 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.

conclusionThe 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.

Indexed as

AVE, average variance extractedB·INT, behavioral usage intentionCOMP, complementary useDepressionDIST, distance to mental health service facilitiesEDU, education levelHIC, high income countryHIST, history of mental health service usageIDS-SR, Inventory of Depressive Symptomatology-Self ReportIIAQ-ID, Internet-based Interventions Acceptability Questionnaire-IndonesiaIndonesiaInternet-based interventionsLMIC, low-middle income countryMental health gapmhGAP, mental health Gap Action ProgrammeOnline therapyPERC∙MH, perceived mental healthinessPERC∙MV, perceived mental health vulnerabilityP·INNOV, personal innovativeness toward online servicesSES, socioeconomic statusSUBS, substitutive use

Identifiers

PMID30206513
PMCPMC6112096

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.