Development an app for monitoring stress level and early detection of mental disorders in Indonesia
Abstract Background Stress may contribute to physical and mental health problems. The number of people with mental-emotional disorders has reached up to be 19 million people in Indonesia in 2018. Monitoring stress levels and early detection are important to prevent serious mental health problems. Th...
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Veröffentlicht in: | European journal of public health 2020-09, Vol.30 (Supplement_5) |
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creator | Puspitasari, I M Sinuraya, R K Witriani, W Aridarma, A |
description | Abstract
Background
Stress may contribute to physical and mental health problems. The number of people with mental-emotional disorders has reached up to be 19 million people in Indonesia in 2018. Monitoring stress levels and early detection are important to prevent serious mental health problems. Therefore, we are developing De-stres©, a mobile app for monitoring the stress level and early detection of mental health disorders in Bahasa Indonesia.
Methods
De-stres© was developed for android OS and web-based app by using the web2py framework and PostgreSQL database. The app used the PSS-10 and Beck Depression-II questionnaires that were available in Bahasa Indonesia. It had six main functions: creating an account, approving the informed consent, filling the questionnaire, generating test results automatically, advice from psychologists based on the test result and saving test history.
Results
A month since its launch, the six functions test ran well on the Android OS and the website. A preliminary result showed that the app was downloaded more than 100 times from Google Playstore. Among the 420 data records, 71.6% (301) app users were students, with 60.7% (255) using the app to measure only stress level, 25.5% (107) resulting in severe stress and 4% (17) severe depression.
Conclusions
De-stres© is successfully developed and a promising instrument that can be implemented for Indonesia, by providing preliminary self-administered questionnaire.
Key messages
De-stres© is an app for monitoring stress levels and early detection of mental health problems and successfully developed with preliminary self-administered questionnaires in Bahasa Indonesia.
De-stres© is a promising app that can be implemented for preventing serious mental health disorders in Indonesia. |
doi_str_mv | 10.1093/eurpub/ckaa166.003 |
format | Article |
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Background
Stress may contribute to physical and mental health problems. The number of people with mental-emotional disorders has reached up to be 19 million people in Indonesia in 2018. Monitoring stress levels and early detection are important to prevent serious mental health problems. Therefore, we are developing De-stres©, a mobile app for monitoring the stress level and early detection of mental health disorders in Bahasa Indonesia.
Methods
De-stres© was developed for android OS and web-based app by using the web2py framework and PostgreSQL database. The app used the PSS-10 and Beck Depression-II questionnaires that were available in Bahasa Indonesia. It had six main functions: creating an account, approving the informed consent, filling the questionnaire, generating test results automatically, advice from psychologists based on the test result and saving test history.
Results
A month since its launch, the six functions test ran well on the Android OS and the website. A preliminary result showed that the app was downloaded more than 100 times from Google Playstore. Among the 420 data records, 71.6% (301) app users were students, with 60.7% (255) using the app to measure only stress level, 25.5% (107) resulting in severe stress and 4% (17) severe depression.
Conclusions
De-stres© is successfully developed and a promising instrument that can be implemented for Indonesia, by providing preliminary self-administered questionnaire.
Key messages
De-stres© is an app for monitoring stress levels and early detection of mental health problems and successfully developed with preliminary self-administered questionnaires in Bahasa Indonesia.
De-stres© is a promising app that can be implemented for preventing serious mental health disorders in Indonesia.</description><identifier>ISSN: 1101-1262</identifier><identifier>EISSN: 1464-360X</identifier><identifier>DOI: 10.1093/eurpub/ckaa166.003</identifier><language>eng</language><publisher>Oxford: Oxford University Press</publisher><subject>Applications programs ; Health problems ; Informed consent ; Mental depression ; Mental disorders ; Mental health ; Mobile computing ; Mobile operating systems ; Public health ; Questionnaires ; Stress ; Websites</subject><ispartof>European journal of public health, 2020-09, Vol.30 (Supplement_5)</ispartof><rights>The Author(s) 2020. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved. 2020</rights><rights>The Author(s) 2020. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27845,27903,27904</link.rule.ids></links><search><creatorcontrib>Puspitasari, I M</creatorcontrib><creatorcontrib>Sinuraya, R K</creatorcontrib><creatorcontrib>Witriani, W</creatorcontrib><creatorcontrib>Aridarma, A</creatorcontrib><title>Development an app for monitoring stress level and early detection of mental disorders in Indonesia</title><title>European journal of public health</title><description>Abstract
Background
Stress may contribute to physical and mental health problems. The number of people with mental-emotional disorders has reached up to be 19 million people in Indonesia in 2018. Monitoring stress levels and early detection are important to prevent serious mental health problems. Therefore, we are developing De-stres©, a mobile app for monitoring the stress level and early detection of mental health disorders in Bahasa Indonesia.
Methods
De-stres© was developed for android OS and web-based app by using the web2py framework and PostgreSQL database. The app used the PSS-10 and Beck Depression-II questionnaires that were available in Bahasa Indonesia. It had six main functions: creating an account, approving the informed consent, filling the questionnaire, generating test results automatically, advice from psychologists based on the test result and saving test history.
Results
A month since its launch, the six functions test ran well on the Android OS and the website. A preliminary result showed that the app was downloaded more than 100 times from Google Playstore. Among the 420 data records, 71.6% (301) app users were students, with 60.7% (255) using the app to measure only stress level, 25.5% (107) resulting in severe stress and 4% (17) severe depression.
Conclusions
De-stres© is successfully developed and a promising instrument that can be implemented for Indonesia, by providing preliminary self-administered questionnaire.
Key messages
De-stres© is an app for monitoring stress levels and early detection of mental health problems and successfully developed with preliminary self-administered questionnaires in Bahasa Indonesia.
De-stres© is a promising app that can be implemented for preventing serious mental health disorders in Indonesia.</description><subject>Applications programs</subject><subject>Health problems</subject><subject>Informed consent</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Mobile computing</subject><subject>Mobile operating systems</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Stress</subject><subject>Websites</subject><issn>1101-1262</issn><issn>1464-360X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqNkM1KxDAUhYMoOI6-gKuA687cJG3aLGX8Gxhwo-AupM2NdOwkNWmFeXs71Adwdc_iO-fCR8gtgxUDJdY4xn6s182XMUzKFYA4IwuWyzwTEj7Op8yAZYxLfkmuUtoDQFFWfEGaB_zBLvQH9AM1npq-py5Eegi-HUJs_SdNQ8SUaHcCJ8RSNLE7UosDNkMbPA2Onuqmo7ZNIVqMibaebr0NHlNrrsmFM13Cm7-7JO9Pj2-bl2z3-rzd3O-yhhVCZChZqYSC3KAtqkZUWNic13lpAVXJciUsuJI7B0ryWsiicXXtilJVE80UiCW5m3f7GL5HTIPehzH66aXmeTmtcwl8ovhMNTGkFNHpPrYHE4-agT7J1LNM_SdTTzKnUjaXwtj_h_8F2gl6dg</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Puspitasari, I M</creator><creator>Sinuraya, R K</creator><creator>Witriani, W</creator><creator>Aridarma, A</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20200901</creationdate><title>Development an app for monitoring stress level and early detection of mental disorders in Indonesia</title><author>Puspitasari, I M ; Sinuraya, R K ; Witriani, W ; Aridarma, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1533-e61793904aed58c38e5d42b47d0e971493d0f72ff0962b365cfbbf579858c1903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Applications programs</topic><topic>Health problems</topic><topic>Informed consent</topic><topic>Mental depression</topic><topic>Mental disorders</topic><topic>Mental health</topic><topic>Mobile computing</topic><topic>Mobile operating systems</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Stress</topic><topic>Websites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Puspitasari, I M</creatorcontrib><creatorcontrib>Sinuraya, R K</creatorcontrib><creatorcontrib>Witriani, W</creatorcontrib><creatorcontrib>Aridarma, A</creatorcontrib><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><jtitle>European journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Puspitasari, I M</au><au>Sinuraya, R K</au><au>Witriani, W</au><au>Aridarma, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development an app for monitoring stress level and early detection of mental disorders in Indonesia</atitle><jtitle>European journal of public health</jtitle><date>2020-09-01</date><risdate>2020</risdate><volume>30</volume><issue>Supplement_5</issue><issn>1101-1262</issn><eissn>1464-360X</eissn><abstract>Abstract
Background
Stress may contribute to physical and mental health problems. The number of people with mental-emotional disorders has reached up to be 19 million people in Indonesia in 2018. Monitoring stress levels and early detection are important to prevent serious mental health problems. Therefore, we are developing De-stres©, a mobile app for monitoring the stress level and early detection of mental health disorders in Bahasa Indonesia.
Methods
De-stres© was developed for android OS and web-based app by using the web2py framework and PostgreSQL database. The app used the PSS-10 and Beck Depression-II questionnaires that were available in Bahasa Indonesia. It had six main functions: creating an account, approving the informed consent, filling the questionnaire, generating test results automatically, advice from psychologists based on the test result and saving test history.
Results
A month since its launch, the six functions test ran well on the Android OS and the website. A preliminary result showed that the app was downloaded more than 100 times from Google Playstore. Among the 420 data records, 71.6% (301) app users were students, with 60.7% (255) using the app to measure only stress level, 25.5% (107) resulting in severe stress and 4% (17) severe depression.
Conclusions
De-stres© is successfully developed and a promising instrument that can be implemented for Indonesia, by providing preliminary self-administered questionnaire.
Key messages
De-stres© is an app for monitoring stress levels and early detection of mental health problems and successfully developed with preliminary self-administered questionnaires in Bahasa Indonesia.
De-stres© is a promising app that can be implemented for preventing serious mental health disorders in Indonesia.</abstract><cop>Oxford</cop><pub>Oxford University Press</pub><doi>10.1093/eurpub/ckaa166.003</doi><oa>free_for_read</oa></addata></record> |
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subjects | Applications programs Health problems Informed consent Mental depression Mental disorders Mental health Mobile computing Mobile operating systems Public health Questionnaires Stress Websites |
title | Development an app for monitoring stress level and early detection of mental disorders in Indonesia |
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