Asmaa Hassan - Academia.edu (original) (raw)
Papers by Asmaa Hassan
BACKGROUND Anxiety and depression are amongst the most commonly prevalent mental health disorders... more BACKGROUND Anxiety and depression are amongst the most commonly prevalent mental health disorders (CMDs) worldwide. Chatbot apps can play an important role in relieving anxiety and depression. Users’ reviews of chatbot apps are considered an important source of data to explore users’ opinion and satisfaction of chatbot apps. OBJECTIVE This study aims to explore users’ opinions, satisfaction, and attitudes about anxiety and depression chatbot apps through conducting a thematic analysis of users’ reviews of 11 anxiety and depression chatbot apps collected from Google play and Apple store. In addition, we propose a workflow to provide a methodological approach for future analysis of review comments. METHODS We analyzed 205,881 user review comments from chatbots dedicated for users with anxiety and depression symptoms. Using scrapper tools (Google Play Scraper and App Store Scraper python libraries), we extracted text and metadata. The reviews were divided into positive and negative met...
BACKGROUND Apps and web-based chatbots can provide valuable and meaningful support to healthcare ... more BACKGROUND Apps and web-based chatbots can provide valuable and meaningful support to healthcare workers in assessing and guiding management of various health problems particularly when human resources are scarce. Despite poor adherence to such apps, chatbots can be cost-effective and efficient on-demand virtual assistants for various mental health conditions, including anxiety and depression. OBJECTIVE This study aims to review the features of chatbots currently available for individuals with suspected anxiety or depression. METHODS ACM digital library, IEEE, Google Scholar, Embase, Medline, and PsychINFO were the six bibliographic databases searched for conducting the review. We conducted backward and forward reference list checking of included studies. Study selection and data extraction were performed by two reviewers independently; two other individual reviewers justified cross-checking of extracted data. We utilized a narrative approach for synthesizing the data. RESULTS The i...
Computer Methods and Programs in Biomedicine Update, 2021
Background Anxiety and depression rates are at an all-time high Smartphone-based mental health ch... more Background Anxiety and depression rates are at an all-time high Smartphone-based mental health chatbots can aid psychiatrists replacing some of the costly human based interaction providing a unique opportunity to expand the availability and quality of mental health intervention whilst providing an alternative approach to fill the much-needed self-care gap Objective Assess the quality and characteristics of chatbots for anxiety and depression available on Android and iOS systems Methods A search was performed in the App Store and Google Play Store following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) protocol to identify existing chatbot apps for anxiety and depression Eligibility was assessed by two individuals based on predefined eligibility criteria Meta-data of the included chatbots and their characteristics were extracted from their description and post-installation by two reviewers Information on quality was assessed by following the mHONcode principles Results Only a handful (n=11) of chatbots were included from an initial search of 1000 that provide a substitute for human-human based interaction and clearly had a therapeutic human substitute goal in mind The majority of reviewed apps had a high number of downloads indicating their popularity The apps were also of a general high quality based on our assessment according to the mHONcode principles Conclusion The general popularity of apps reviewed, and results of our quality assessment indicate chatbots have a promising future within the realm of anxiety and depression Anxiety and depression chatbot apps have the potential to increase the capacity of mental health self-care providing much needed low-cost assistance to professionals
BACKGROUND Technology has been extensively implemented in the fight against the novel coronavirus... more BACKGROUND Technology has been extensively implemented in the fight against the novel coronavirus disease (COVID-19). While several reviews were conducted regarding technologies used during COVID-19, they were limited either by focusing on a certain technology or feature, or by technology that was proposed rather than implemented. OBJECTIVE This review aims to explore the features of technologies implemented during the first wave of COVID-19 as reported in the literature. METHODS The authors conducted a scoping review following the guidelines of PRISMA Extension for Scoping Reviews (PRISMA-ScR). Studies were retrieved through searching 8 electronic databases and conducting backward and forward reference list checking. Two reviewers independently assessed the eligibility of studies and extracted data from the included articles. We then used a narrative approach to synthesize the extracted data. RESULTS Of 7,374 retrieved studies, 126 were deemed eligible. Telemedicine was the most co...
Bulletin of Egyptian Society for Physiological Sciences, 2009
Hassan et al.
Port-Said Engineering Research Journal, 2015
As the ship running cost and environmental effects are mainly depend on engine performance and em... more As the ship running cost and environmental effects are mainly depend on engine performance and emitted exhaust emissions which are affected by engine conditions so in this study the quantitative approach is used to analysis the effect of ambient air temperature, humidity % and air filter condition on the engine performance and exhaust emission. 20 different scenarios represent ambient air temperature, humidity and air filter condition are applied on diesel engine and the result parameters related performance (Power, Compression and Maximum pressures) and emissions (NOx, COx and SOx) are obtained and analysed then both the worst and the least risk scenarios are assigned..
Page 1. Self Perception of Community Dwelling Elderly toward Aging in Shubra El Khima city Thesis... more Page 1. Self Perception of Community Dwelling Elderly toward Aging in Shubra El Khima city Thesis Submitted for partial fulfillment of MD of Geriatric Medicine By Asmaa Fathy Abdellah Hassan (MB, B.Ch, Msc geriatric medicine) Under Supervision of ...
BACKGROUND Anxiety and depression are amongst the most commonly prevalent mental health disorders... more BACKGROUND Anxiety and depression are amongst the most commonly prevalent mental health disorders (CMDs) worldwide. Chatbot apps can play an important role in relieving anxiety and depression. Users’ reviews of chatbot apps are considered an important source of data to explore users’ opinion and satisfaction of chatbot apps. OBJECTIVE This study aims to explore users’ opinions, satisfaction, and attitudes about anxiety and depression chatbot apps through conducting a thematic analysis of users’ reviews of 11 anxiety and depression chatbot apps collected from Google play and Apple store. In addition, we propose a workflow to provide a methodological approach for future analysis of review comments. METHODS We analyzed 205,881 user review comments from chatbots dedicated for users with anxiety and depression symptoms. Using scrapper tools (Google Play Scraper and App Store Scraper python libraries), we extracted text and metadata. The reviews were divided into positive and negative met...
BACKGROUND Apps and web-based chatbots can provide valuable and meaningful support to healthcare ... more BACKGROUND Apps and web-based chatbots can provide valuable and meaningful support to healthcare workers in assessing and guiding management of various health problems particularly when human resources are scarce. Despite poor adherence to such apps, chatbots can be cost-effective and efficient on-demand virtual assistants for various mental health conditions, including anxiety and depression. OBJECTIVE This study aims to review the features of chatbots currently available for individuals with suspected anxiety or depression. METHODS ACM digital library, IEEE, Google Scholar, Embase, Medline, and PsychINFO were the six bibliographic databases searched for conducting the review. We conducted backward and forward reference list checking of included studies. Study selection and data extraction were performed by two reviewers independently; two other individual reviewers justified cross-checking of extracted data. We utilized a narrative approach for synthesizing the data. RESULTS The i...
Computer Methods and Programs in Biomedicine Update, 2021
Background Anxiety and depression rates are at an all-time high Smartphone-based mental health ch... more Background Anxiety and depression rates are at an all-time high Smartphone-based mental health chatbots can aid psychiatrists replacing some of the costly human based interaction providing a unique opportunity to expand the availability and quality of mental health intervention whilst providing an alternative approach to fill the much-needed self-care gap Objective Assess the quality and characteristics of chatbots for anxiety and depression available on Android and iOS systems Methods A search was performed in the App Store and Google Play Store following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) protocol to identify existing chatbot apps for anxiety and depression Eligibility was assessed by two individuals based on predefined eligibility criteria Meta-data of the included chatbots and their characteristics were extracted from their description and post-installation by two reviewers Information on quality was assessed by following the mHONcode principles Results Only a handful (n=11) of chatbots were included from an initial search of 1000 that provide a substitute for human-human based interaction and clearly had a therapeutic human substitute goal in mind The majority of reviewed apps had a high number of downloads indicating their popularity The apps were also of a general high quality based on our assessment according to the mHONcode principles Conclusion The general popularity of apps reviewed, and results of our quality assessment indicate chatbots have a promising future within the realm of anxiety and depression Anxiety and depression chatbot apps have the potential to increase the capacity of mental health self-care providing much needed low-cost assistance to professionals
BACKGROUND Technology has been extensively implemented in the fight against the novel coronavirus... more BACKGROUND Technology has been extensively implemented in the fight against the novel coronavirus disease (COVID-19). While several reviews were conducted regarding technologies used during COVID-19, they were limited either by focusing on a certain technology or feature, or by technology that was proposed rather than implemented. OBJECTIVE This review aims to explore the features of technologies implemented during the first wave of COVID-19 as reported in the literature. METHODS The authors conducted a scoping review following the guidelines of PRISMA Extension for Scoping Reviews (PRISMA-ScR). Studies were retrieved through searching 8 electronic databases and conducting backward and forward reference list checking. Two reviewers independently assessed the eligibility of studies and extracted data from the included articles. We then used a narrative approach to synthesize the extracted data. RESULTS Of 7,374 retrieved studies, 126 were deemed eligible. Telemedicine was the most co...
Bulletin of Egyptian Society for Physiological Sciences, 2009
Hassan et al.
Port-Said Engineering Research Journal, 2015
As the ship running cost and environmental effects are mainly depend on engine performance and em... more As the ship running cost and environmental effects are mainly depend on engine performance and emitted exhaust emissions which are affected by engine conditions so in this study the quantitative approach is used to analysis the effect of ambient air temperature, humidity % and air filter condition on the engine performance and exhaust emission. 20 different scenarios represent ambient air temperature, humidity and air filter condition are applied on diesel engine and the result parameters related performance (Power, Compression and Maximum pressures) and emissions (NOx, COx and SOx) are obtained and analysed then both the worst and the least risk scenarios are assigned..
Page 1. Self Perception of Community Dwelling Elderly toward Aging in Shubra El Khima city Thesis... more Page 1. Self Perception of Community Dwelling Elderly toward Aging in Shubra El Khima city Thesis Submitted for partial fulfillment of MD of Geriatric Medicine By Asmaa Fathy Abdellah Hassan (MB, B.Ch, Msc geriatric medicine) Under Supervision of ...