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Automated Text-Based Psychological Support to Improve Work-Life Balance and Sleep Quality: A Pilot Study Report of Work-from-Home Workers in Indonesia
Asia Pacific Journal of Health Management ; 18(1), 2023.
Article in English | Web of Science | ID: covidwho-2324811
ABSTRACT

BACKGROUND:

Work-at-home jobs may raise the risk of mental health concerns as they blur the boundaries between one's job and personal responsibility. This study aimed to develop and test the feasibility of an online psychological intervention using the WhatsApp (c) messaging application.MATERIALS AND

METHOD:

During the 14-day intervention period, two messages were sent twice a day consisting of positive psychological affirmation aimed at assisting participants (N= 48;13 males and 35 females) to achieve work-life balance and better sleep quality. The Indonesian-adapted Fisher's work-life balance scale and the sleep disturbance scale were used to measure both constructs. These measures were administered at the beginning and end of the intervention. In addition, we provided participants with brief open-ended questions to check the program's feasibility and acceptance of the intervention.

RESULTS:

A paired t-test analysis revealed that although there was an increase in work-life balance scores in the post-test com pared to the pre-test, the difference was not significant (t (47) =-1.75, p >.05). Nevertheless, individuals' sleep quality scores improved significantly after the intervention (t (47) = - 2.85, p <.05).

DISCUSSION:

The findings of this study are expected to provi de a preliminary argument to further pursue the development of behavioral interventions using online strategies in Indonesia during the pandemic.
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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Experimental Studies / Prognostic study Language: English Journal: Asia Pacific Journal of Health Management Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Experimental Studies / Prognostic study Language: English Journal: Asia Pacific Journal of Health Management Year: 2023 Document Type: Article