Actively Recruiting
A Health Apps for Post-Pandemic Years for People With Physiological and Psychosocial Distress
Led by The Hong Kong Polytechnic University · Updated on 2024-02-28
814
Participants Needed
1
Research Sites
135 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The negative impacts on physical and psychological health brought by COVID-19 seem to perpetuate in the post-pandemic era. It is estimated that there will be an impending mental health crisis in the general population in the aftermath of the pandemic due to the delayed negative impacts of COVID-19 and the associated non-pharmaceutical public health interventions such as social distancing, quarantining, and lockdown. Smart Health, defined as the provision of medical and public healthcare services by using mobile technologies, is a cost-effective and easily operated intervention that can provide various functions and can bring significant changes in people's health behaviour, such as prompting them to adopt a physically active lifestyle. Despite the rapid growth of digital health technology, most of them were developed during pandemic with a focus on delivering non-systematic, general virtual healthcare to people. The aim of this study is 1) to develop a Health Apps for Post-Pandemic Years (HAPPY) driven by the Transactional Model of Stress and Coping Theory, and 2) to evaluate its efficacy of alleviating people's physiological and psychosocial distress during post-pandemic era. A total of 814 eligible participants, both COVID-19 victims and non-COVID-19 victims exhibiting physiological and/or psychosocial distress during post-pandemic era, will be recruited and randomized to either the experimental or the waitlist control group. The experimental group will receive a 24-week intervention combined with an 8-week regular supervision phase plus a 16-week self-help phase. Participants will receive different coping strategies, namely physical training, energy conservation techniques and mindfulness-based coping in the intervention hub at Level 2 based on participants' assessments at Level 1, and enhance self-management at Level 3. Participants' physical activity levels will be measured using commercial wearable sensors. The waitlist control group will receive materials on the promotion of physical and psychological health during waiting period and receive the same intervention as the experimental group in week 25. It is hypothesized that the experimental group will exhibit milder symptoms of physiological and psychosocial distress, and have a more positive appraisal mindset, greater self-efficacy, and more sustainable self-management ability than participants in the waitlist control group.
CONDITIONS
Official Title
A Health Apps for Post-Pandemic Years for People With Physiological and Psychosocial Distress
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Aged 18 years or older
- Exhibiting physiological and/or psychosocial distress
- Psychological distress indicated by a Kessler Psychological Distress Scale (K10) score of 20 or higher
- Physical fatigue indicated by a Brief Fatigue Inventory (BFI) score of 4 or higher
- Decreased sleep quality indicated by a Pittsburgh Sleep Quality Index (PSQI) score higher than 5
- Pain symptoms indicated by a Numerical Pain Scale (NPS) score higher than 3, including headaches and upset stomach
- Access to the Internet and a smartphone
You will not qualify if you...
- Having severe cognitive, visual, or hearing impairments that would prevent participation in the HAPPY program
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
The Hong Kong Polytechnic University
Hong Kong, Hong Kong
Actively Recruiting
Research Team
J
Justina Liu, PhD
CONTACT
A
Amy Cheung, MA
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
TREATMENT
Number of Arms
2
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