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健康行动过程方法(HAPA)作为一种框架,用于理解印度尼西亚雅加达 Kemayoran 体育馆应急医院和 RSCM Kiara Ultimate 医院中接受隔离的 COVID-19 患者对健康协议的遵守问题。

Health Action Process Approach (HAPA) as a Framework to Understand Compliance Issues With Health Protocols Among People Undergoing Isolation at Emergency Hospital for COVID-19 Wisma Atlet Kemayoran and RSCM Kiara Ultimate Jakarta Indonesia.

作者信息

Malik Khamelia, Amir Nurmiati, Kusumawardhani A A A A, Lukman Petrin Redayani, Karnovinanda Rhapsody, Melisa Leslie, Dewi Lidya Purnama, Lasmono Agnes

机构信息

Department of Psychiatry, Faculty of Medicine, Cipto Mangunkusumo National Referral Hospital, Universitas Indonesia, Jakarta, Indonesia.

Neuroscience and Brain Development Research Cluster, Faculty of Medicine, Indonesia Medical Education and Research Institute, Universitas Indonesia, Jakarta, Indonesia.

出版信息

Front Psychiatry. 2022 May 26;13:871448. doi: 10.3389/fpsyt.2022.871448. eCollection 2022.

DOI:10.3389/fpsyt.2022.871448
PMID:35722553
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9199900/
Abstract

INTRODUCTION

This study aims to identify the psychosocial determinants and examine the mediation mechanisms of the compliance with COVID-19 health protocols among people undergoing isolation in health facilities that specifically treat COVID-19 cases in Jakarta, Indonesia.

METHODS

This is a cross-sectional study which used socio-cognitive approach, known as the Health Action Process Approach (HAPA), to understand the complexity of issues related to compliance with health protocols. A total of 1,584 subjects participated in this study, including 865 men and 719 women over the age of 18 years old during the data collection period (October 19-26, 2020). The data were collected using questionnaire that was developed by a team of experts from the Faculty of Medicine, Universitas Indonesia-Dr. Cipto Mangunkusumo General Hospital, and survivors. The data that has been collected were then analyzed using Structural Equation Modeling, a multivariate data analysis technique.

RESULTS

The final research model in this study fulfills the criteria for a good model fit. This study found that individuals who have strong self-efficacy regarding their ability to implement behaviors and overcome obstacles will have stronger intent to comply in the future. The study also found that stronger intent will lead to stronger planning, and planning was found mediating intention and compliance with health protocols.

CONCLUSION

This research model is comprehensive and useful in understanding compliance with health protocols among people undergoing isolation in health facilities for COVID-19 (Wisma Atlet and RSCM Kiara Ultimate). Having intent (related to the risk perception, outcome expectancies, and self-efficacy) and having a plan can positively influence the behavior of people undergoing isolation, resulting in better compliance to health protocols. The understanding gained from this study can be used to improve strategies related to compliance with health protocols against COVID-19 in the communities.

摘要

引言

本研究旨在确定社会心理决定因素,并检验印度尼西亚雅加达专门治疗新冠肺炎病例的医疗机构中接受隔离的人群遵守新冠肺炎健康协议的中介机制。

方法

这是一项横断面研究,采用社会认知方法,即健康行动过程方法(HAPA),来理解与遵守健康协议相关问题的复杂性。在数据收集期间(2020年10月19日至26日),共有1584名受试者参与了本研究,其中包括865名男性和719名18岁以上的女性。数据通过由印度尼西亚大学医学院-西托·曼古库苏莫博士综合医院的专家团队以及康复者共同编制的问卷收集。然后,使用多元数据分析技术结构方程模型对收集到的数据进行分析。

结果

本研究中的最终研究模型符合良好模型拟合的标准。该研究发现,对自己实施行为和克服障碍的能力有强烈自我效能感的个体,未来遵守的意愿会更强。研究还发现,更强的意愿会导致更强的计划,并且计划被发现介导了意愿与遵守健康协议之间的关系。

结论

该研究模型在理解新冠肺炎隔离医疗机构(雅加达运动员村和基阿纳终极中央医院)中接受隔离的人群遵守健康协议方面是全面且有用的。有意愿(与风险感知、结果预期和自我效能感相关)并有计划可以对接受隔离的人群的行为产生积极影响,从而更好地遵守健康协议。从本研究中获得的认识可用于改进社区中与遵守新冠肺炎健康协议相关的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e02/9199900/5f1b30a6d1c7/fpsyt-13-871448-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e02/9199900/e94a1209e6af/fpsyt-13-871448-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e02/9199900/ce6b85f2333c/fpsyt-13-871448-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e02/9199900/5f1b30a6d1c7/fpsyt-13-871448-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e02/9199900/e94a1209e6af/fpsyt-13-871448-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e02/9199900/ce6b85f2333c/fpsyt-13-871448-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e02/9199900/5f1b30a6d1c7/fpsyt-13-871448-g0003.jpg

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