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1.
Pediatr Endocrinol Diabetes Metab ; 28(1): 75-80, 2022.
Article in English | MEDLINE | ID: covidwho-1792052

ABSTRACT

Intensive technology development as well as the COVID-19 pandemic has contributed to the increased interest in the telemedicine and mHealth sector. Increasing availability and use of mobile devices as well as the constantly growing number of nutritional mobile applications, resulted in creating new tools for food and meals nutrients calculation which can be used by patients with diabetes. Variety of mobile applications and multiple functions included in them enable finding applications focused on individual patients' needs. The scientific data coming from research conducted so far suggest that the regular use of mobile nutritional applications contributes to improving metabolic control of diabetes and the reduction of the value of glycated hemoglobin in patients with diabetes. Innovative solutions bring hope also for a significant improvement in the quality of life of patients. The aim of this article was to summarize the EBM knowledge about the use of mHealth in self-control and diet of patients with diabetes, especially type 1 and to present and assess the nutrition mobile applications available in polish language according to their functionality in diabetic self-control.


Subject(s)
COVID-19 , Diabetes Mellitus , Self-Control , Diabetes Mellitus/therapy , Humans , Pandemics , Quality of Life
2.
Front Public Health ; 9: 669727, 2021.
Article in English | MEDLINE | ID: covidwho-1771104

ABSTRACT

BACKGROUND: Hearing loss is a major public health challenge. Audiology services need to utilise a range of rehabilitative services and maximise innovative practice afforded by technology to actively promote personalized, participatory, preventative and predictive care if they are to cope with the social and economic burden placed on the population by the rapidly rising prevalence of hearing loss. Digital interventions and teleaudiology could be a key part of providing high quality, cost-effective, patient-centred management. There is currently very limited evidence that assesses the hearing impaired patient perspective on the acceptance and usability of this type of technology. AIM: This study aims to identify patient perceptions of the use of a hearing support system including a mobile smartphone app when used with Bluetooth-connected hearing aids across the everyday life of users, as part of the EVOTION project. METHODS: We applied a questionnaire to 564 participants in three countries across Europe and analysed the following topics: connectivity, hearing aid controls, instructional videos, audiological tests and auditory training. KEY FINDINGS: Older users were just as satisfied as younger users when operating this type of technology. Technical problems such as Bluetooth connectivity need to be minimised as this issue is highly critical for user satisfaction, engagement and uptake. A system that promotes user-controllability of hearing aids that is more accessible and easier to use is highly valued. Participants are happy to utilise monitoring tests and auditory training on a mobile phone out of the clinic but in order to have value the test battery needs to be relevant and tailored to each user, easy to understand and use. Such functions can elicit a negative as well as positive experience for each user. CONCLUSION: Older and younger adults can utilise an eHealth mobile app to complement their rehabilitation and health care. If the technology works well, is tailored to the individual and in-depth personalised guidance and support is provided, it could assist maximisation of hearing aid uptake, promotion of self-management and improving outcomes.


Subject(s)
Hearing Aids , Mobile Applications , Telemedicine , Adult , Hearing , Humans
3.
Annals of Medical and Health Sciences Research ; 11:159-164, 2021.
Article in English | Web of Science | ID: covidwho-1576738

ABSTRACT

Background: The 'Aarogya Setu' mobile phone application (app) is designed to inform people regarding the potential risk of COVID-19.Alimited amount of information is available about awareness and usage of the app. Objective: To assess awareness, opinions, and usage of the 'Aarogya Setu' app amongst out patients of three clinics in Mulshi taluka of Pune district. Methods: Convenient sampling technique was used. A total of 234 patients were interviewed who visited the clinics over five months. The interviews were conducted on phone using a pre-tested questionnaire. Additionally, 15 indepth interviews were conducted with the participants who had previously used the app. on the telephone using an interview schedule. Quantitative data were analyzed by calculating frequencies and associations. An inductive approach was used to analyze qualitative information. Results: Around one-third of the participants (33.8%) were aware that the 'Government of India' (Gol) has developed an app named 'Aarogya Setu' to fight against the pandemic. A significantly higher percentage of awareness was observed in the participants less than 35 years of age. The app was mostly known and used for 'obtaining the number of nearby COVID-19 patients'. Overall, the participants believed in the purpose of the app. Concerns were raised about the reliability of the data gained from the app. Conclusion: Awareness of the 'Aarogya Setu' app needs to be enhanced amongst all age groups. Trust building in the app must be strengthened simultaneously.

4.
Diabetes Res Clin Pract ; 169: 108396, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-739800

ABSTRACT

We describe our experience in the remote management of women with gestational diabetes mellitus during the COVID-19 pandemic. We used a mobile phone application with artificial intelligence that automatically classifies and analyses the data (ketonuria, diet transgressions, and blood glucose values), making adjustment recommendations regarding the diet or insulin treatment.


Subject(s)
COVID-19/complications , Diabetes, Gestational/therapy , SARS-CoV-2/isolation & purification , Smartphone/statistics & numerical data , Telemedicine/methods , Artificial Intelligence , Blood Glucose/analysis , Blood Glucose Self-Monitoring/methods , COVID-19/virology , Diabetes, Gestational/blood , Diabetes, Gestational/epidemiology , Diabetes, Gestational/virology , Disease Management , Female , Humans , Pregnancy , Spain/epidemiology
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