Ignite Creation Date:
2024-10-25 @ 7:51 PM
Last Modification Date:
2024-10-26 @ 3:41 PM
Study NCT ID:
NCT06621134
Status:
COMPLETED
Last Update Posted:
None
First Post:
2024-09-16
Brief Title:
Comparing the Effectiveness of AI Chatbot with That of Telephone Hotline
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Comparing the Effectiveness of an AI Chatbot with That of a Telephone Hotline for Answering COVID-19 Related Issues
Status:
COMPLETED
Status Verified Date:
2024-09
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
AI chatbot
Brief Summary:
The COVID-19 pandemic has significantly impacted the wellbeing of people in Hong Kong leading to social distancing policies and changes in healthcare service utilization School closures and remote work have increased stress levels for parents and children Vulnerable populations such as low-income families and children with special needs are at higher risk of maltreatment and mental health issues Parental burnout has become a concern as parents juggle work childcare and education responsibilities There is a need for research on the physical and mental health effects of COVID-19 on families and the potential role of AI in addressing these challenges AI particularly chatbots can provide accessible healthcare information and support aiding in early diagnosis and treatment AI chatbots offer timely responses accurate information and continuous availability making them valuable tools for remote health assistance While AI chatbots are not without limitations further research can help integrate them more effectively into healthcare services
Detailed Description:
The COVID-19 pandemic has had an unprecedented impact on the wellbeing of people in Hong Kong since the outbreak in December 2019 The Government has adopted social distancing policies to minimise the risk of infection These include but are not limited to school closure remote working and the prohibition of group-gatherings These anti-infection measures have led to a change in pattern in the use of healthcare services and help-seeking activities Studies have also shown that a dearth of socialisation leads to higher stress levels for both parents and children
As school closure and remote work measures continue both children and parents are under great pressure UNESCO 2020 reported that over 158 billion children and youth in 200 countries were affected by school closure as of mid-April 2020 Although the long-term effect of COVID-19 on childrens and parents mental health is unknown cases of child abuse neglect and exploitation have increased in the face of such unprecedented times Low-income families or families with children with special education needs SEN are prone to children being maltreated andor having mental health crisis Parents who work from home are facing challenges of fulfilling a triple role work childcare and homecare Worse still childrens lack of learning interests and motivation adds extra burden on parents as they take up the role of teachers Parents are inclined to experience parental burnout which is characterised by mental and physical exhaustion with a feeling of hopelessness Therefore it is clear there are strong societal needs for COVID-19 physical and mental health research It is imperative to prevent potential and mitigate existing problems regarding parent-child relationship parental stress and family functioning caused by COVID-19
Consequently exploring more easily accessible and efficient ways of dealing with potential and existing health problems both physically and mentally should be a priority Artificial Intelligence AI in healthcare services has the potential to reduce the workload of healthcare workers by answering frequently asked questions through the AI system all from the comfort of the subjects home Considering the potentially detrimental effect of COVID-19 on both children and parents it is important to fill the research gap as to how AI may serve as a platform for help-seeking particularly during times of social distancing
AI has been widely adopted in healthcare services in the past decade The use of chatbots in particular has enhanced public engagement in health service all from the comfort of the subjects home AI chatbots utilised natural language processing NLP to facilitate interaction with users in conversations making appropriate medical advice accessible to the public Intelligent algorithms in AI enables early diagnosis of disease and offers treatment techniques to those who may otherwise have been diagnosed too late For instance the US Centres for Disease Control and Prevention CDC has launched a chatbot named Clara to help users access information on potential symptoms of coronavirus and help enable them to make decisions about the need to seek medical care This is especially useful as it identifies high-risks groups in need of medical attention by triaging patients according to their symptoms therefore reducing hospital visits for minor cases It also provides support to family members of high-risk groups as to what measures can be taken to prevent infection and ways to relieve pressure in taking care of patients within their family
AI chatbots merit attention in its prompt response to users questions as it provides a service around the clock In addition answers provided by AI are considered more accurate than that of search engines subject to the proficiency of data mining methods These features are of significance as users are able to seek psycho-medical advice while practising social distancing without face-to-face appointments with clinicians
AI chatbots may serve as a self-help tool for gaining insights in dealing with both mental and physical conditions but it is far from perfection The hope is that this study can contribute to making AI chatbots an integrated part of the health care service
As school closure and remote work measures continue both children and parents are under great pressure UNESCO 2020 reported that over 158 billion children and youth in 200 countries were affected by school closure as of mid-April 2020 Although the long-term effect of COVID-19 on childrens and parents mental health is unknown cases of child abuse neglect and exploitation have increased in the face of such unprecedented times Low-income families or families with children with special education needs SEN are prone to children being maltreated andor having mental health crisis Parents who work from home are facing challenges of fulfilling a triple role work childcare and homecare Worse still childrens lack of learning interests and motivation adds extra burden on parents as they take up the role of teachers Parents are inclined to experience parental burnout which is characterised by mental and physical exhaustion with a feeling of hopelessness Therefore it is clear there are strong societal needs for COVID-19 physical and mental health research It is imperative to prevent potential and mitigate existing problems regarding parent-child relationship parental stress and family functioning caused by COVID-19
Consequently exploring more easily accessible and efficient ways of dealing with potential and existing health problems both physically and mentally should be a priority Artificial Intelligence AI in healthcare services has the potential to reduce the workload of healthcare workers by answering frequently asked questions through the AI system all from the comfort of the subjects home Considering the potentially detrimental effect of COVID-19 on both children and parents it is important to fill the research gap as to how AI may serve as a platform for help-seeking particularly during times of social distancing
AI has been widely adopted in healthcare services in the past decade The use of chatbots in particular has enhanced public engagement in health service all from the comfort of the subjects home AI chatbots utilised natural language processing NLP to facilitate interaction with users in conversations making appropriate medical advice accessible to the public Intelligent algorithms in AI enables early diagnosis of disease and offers treatment techniques to those who may otherwise have been diagnosed too late For instance the US Centres for Disease Control and Prevention CDC has launched a chatbot named Clara to help users access information on potential symptoms of coronavirus and help enable them to make decisions about the need to seek medical care This is especially useful as it identifies high-risks groups in need of medical attention by triaging patients according to their symptoms therefore reducing hospital visits for minor cases It also provides support to family members of high-risk groups as to what measures can be taken to prevent infection and ways to relieve pressure in taking care of patients within their family
AI chatbots merit attention in its prompt response to users questions as it provides a service around the clock In addition answers provided by AI are considered more accurate than that of search engines subject to the proficiency of data mining methods These features are of significance as users are able to seek psycho-medical advice while practising social distancing without face-to-face appointments with clinicians
AI chatbots may serve as a self-help tool for gaining insights in dealing with both mental and physical conditions but it is far from perfection The hope is that this study can contribute to making AI chatbots an integrated part of the health care service
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None