Klimatické změny vedou v posledních letech k prodloužení pylové sezóny, respektive k jejímu časnějšímu začátku. Mobilní aplikace umožnují dnes pacientům monitorovat aktuální pylovou situaci, zaznamenávat vlastní klinické obtíže a lépe dodržovat compliance k léčbě. Klinické projevy pylové alergie zahrnují nejčastěji alergickou rhinokonjunktivitidu. V příspěvku zmiňuji zásady symptomatické farmakoterapie alergické rýmy a kauzální léčbu - specifickou alergenovou imunoterapii.
Pollen season lasts longer because of its earlier start due to recent climate changes. Mobile apps enable pollen monitoring, help patients describe their clinical symptoms, and improve compliance with therapy. Allergic rhinoconjunctivitis is the most frequent clinical symptom. This paper provides info about symptomatic pharmacotherapy as well as about causal treatment- about specific allergen immunotherapy.
- MeSH
- alergeny škodlivé účinky terapeutické užití MeSH
- alergie * etiologie farmakoterapie MeSH
- antagonisté histaminu H1 terapeutické užití MeSH
- aplikace intranazální MeSH
- hormony kůry nadledvin terapeutické užití MeSH
- imunoterapie metody MeSH
- informatika pro pacienty metody MeSH
- internet MeSH
- kombinovaná farmakoterapie MeSH
- lidé MeSH
- mobilní aplikace MeSH
- pyl škodlivé účinky MeSH
- sezónní alergická rýma * etiologie farmakoterapie MeSH
- Check Tag
- lidé MeSH
BACKGROUND: Longitudinal investigation of the association between mobile health (mHealth) app use and attitudes toward one's body during adolescence is scarce. mHealth apps might shape adolescents' body image perceptions by influencing their attitudes toward their bodies. Adolescents might also use mHealth apps based on how they feel and think about their bodies. OBJECTIVE: This prospective study examined the longitudinal within-person associations between mHealth app use, body dissatisfaction, and physical self-worth during adolescence. METHODS: The data were gathered from a nationally representative sample of Czech adolescents aged between 11 and 16 years (N=2500; n=1250, 50% girls; mean age 13.43, SD 1.69 years) in 3 waves with 6-month intervals. Participants completed online questionnaires assessing their mHealth app use, physical self-worth, and body dissatisfaction at each wave. The mHealth app use was determined by the frequency of using sports, weight management, and nutritional intake apps. Physical self-worth was assessed using the physical self-worth subscale of the Physical Self Inventory-Short Form. Body dissatisfaction was measured with the items from the body dissatisfaction subscale of the Eating Disorder Inventory-3. The random intercept cross-lagged panel model examined longitudinal within-person associations between the variables. A multigroup design was used to compare genders. Due to the missing values, the final analyses used data from 2232 adolescents (n=1089, 48.8% girls; mean age 13.43, SD 1.69 years). RESULTS: The results revealed a positive within-person effect of mHealth app use on the physical self-worth of girls: increased mHealth app use predicted higher physical self-worth 6 months later (β=.199, P=.04). However, this effect was not consistent from the 6th to the 12th month: a within-person increase in using apps in the 6th month did not predict changes in girls' physical self-worth in the 12th month (β=.161, P=.07). Regardless of gender, the within-person changes in the frequency of using apps did not influence adolescents' body dissatisfaction. In addition, neither body dissatisfaction nor physical self-worth predicted app use frequency at the within-person level. CONCLUSIONS: This study highlighted that within-person changes in using mHealth apps were differentially associated with adolescents' body-related attitudes. While increased use of mHealth apps did not influence body dissatisfaction across genders, it significantly predicted higher physical self-worth in adolescent girls 6 months later. A similar association was not observed among boys after 6 months. These findings indicate that using mHealth apps is unlikely to have a detrimental impact on adolescents' body dissatisfaction and physical self-worth; instead, they may have a positive influence, particularly in boosting the physical self-worth of adolescent girls.
- MeSH
- dítě MeSH
- lidé MeSH
- longitudinální studie MeSH
- mladiství MeSH
- mobilní aplikace * MeSH
- nespokojenost s tělem * psychologie MeSH
- osobní uspokojení MeSH
- představa o vlastním těle psychologie MeSH
- prospektivní studie MeSH
- průzkumy a dotazníky MeSH
- sebepojetí * MeSH
- telemedicína * MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika MeSH
- Klíčová slova
- Mediately,
- MeSH
- digitální zdraví * MeSH
- lidé MeSH
- mobilní aplikace MeSH
- nádory prsu diagnóza MeSH
- nádory terapie MeSH
- protinádorové látky imunologicky aktivní aplikace a dávkování škodlivé účinky MeSH
- telemedicína MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- rozhovory MeSH
- MeSH
- Alzheimerova nemoc * genetika MeSH
- lékařská informatika metody MeSH
- lidé MeSH
- mobilní aplikace MeSH
- mutace MeSH
- Parkinsonova nemoc * diagnóza patologie MeSH
- poruchy řeči diagnóza etiologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- novinové články MeSH
BACKGROUND: Remote measurement technology (RMT) involves the use of wearable devices and smartphone apps to measure health outcomes in everyday life. RMT with feedback in the form of data visual representations can facilitate self-management of chronic health conditions, promote health care engagement, and present opportunities for intervention. Studies to date focus broadly on multiple dimensions of service users' design preferences and RMT user experiences (eg, health variables of perceived importance and perceived quality of medical advice provided) as opposed to data visualization preferences. OBJECTIVE: This study aims to explore data visualization preferences and priorities in RMT, with individuals living with depression, those with epilepsy, and those with multiple sclerosis (MS). METHODS: A triangulated qualitative study comparing and thematically synthesizing focus group discussions with user reviews of existing self-management apps and a systematic review of RMT data visualization preferences. A total of 45 people participated in 6 focus groups across the 3 health conditions (depression, n=17; epilepsy, n=11; and MS, n=17). RESULTS: Thematic analysis validated a major theme around design preferences and recommendations and identified a further four minor themes: (1) data reporting, (2) impact of visualization, (3) moderators of visualization preferences, and (4) system-related factors and features. CONCLUSIONS: When used effectively, data visualizations are valuable, engaging components of RMT. Easy to use and intuitive data visualization design was lauded by individuals with neurological and psychiatric conditions. Apps design needs to consider the unique requirements of service users. Overall, this study offers RMT developers a comprehensive outline of the data visualization preferences of individuals living with depression, epilepsy, and MS.
- MeSH
- deprese * psychologie MeSH
- dospělí MeSH
- epilepsie * psychologie MeSH
- kvalitativní výzkum * MeSH
- lidé středního věku MeSH
- lidé MeSH
- mobilní aplikace MeSH
- nositelná elektronika MeSH
- pacientova volba psychologie statistika a číselné údaje MeSH
- roztroušená skleróza * psychologie MeSH
- senioři MeSH
- telemedicína MeSH
- vizualizace dat MeSH
- zjišťování skupinových postojů * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
Background: Telehealth is electronic information and telecommunications technology for medical personnel and doctors to handle patient health. This electronic information can include digital images, videos, or text files stored on a computer. Telehealth is beneficial for improving the general psychology of chronic patients. However, no assessment of the impact of telehealth on individuals suffering from chronic obstructive pulmonary disease has been done. As a result, in order to assess the impact of telehealth treatments on the quality of life of patients with chronic obstructive pulmonary disease, researchers reviewed the literature. Methods: The inclusion criteria were articles published in open access in English between 2014 and 2023, with the full text of the original article. COPD patients were the participants in this study, the intervention was telehealth, the outcome was quality of life, and the research design was a randomized controlled trial. This review has been registered on Prospero, registration number CRD42024496062. Results: The review was carried out in five databases: PubMed, Scopus, Proquest, Emerald Insight, and ScienceDirect. Articles that met inclusion criteria were assessed using the Joanna Briggs Institute Critical Appraisal Checklist. Data was synthesized using Review Manager version 5.4. Ten RCT studies (1,297 patients) met the inclusion criteria. This review showed that there was a significant effect on the quality of life after intervention using telehealth, with moderate heterogeneity of 70% [SMD = 0.27 CI 95%, (0.03, 0.50), (P 0.02)]. Conclusion: Telehealth interventions can improve patients' quality of life. Telehealth can be integrated into the medical service system to treat chronic obstructive pulmonary disease patients.
Background: Diabetes mellitus (DM) is one of the most prevalent metabolic disorders, with type 2 DM being the most common form. It ranks as the sixth-leading cause of death worldwide, yet medication adherence and self-care remain low. Given that knowledge significantly influences these outcomes, this paper aims to evaluate the effect of mobile phone-assisted health education programs on patients with type 2 DM. Methods: A comprehensive literature search was conducted using databases such as Scopus, Web of Science, PubMed, and EBSCOhost, employing keywords relevant to the research topic. The research question was structured using the PICOS framework: (1) Population: patients with type 2 diabetes mellitus; (2) Intervention: health education via mobile phone; (3) Comparison: conventional health education; (4) Outcome: diabetes self-management, glycemic control, and medication adherence; (5) Study design: randomized controlled trials. Results: The search identified approximately 678 articles discussing health education interventions using mobile phones. After a thorough screening process, 10 articles met the inclusion criteria. The findings suggest that mobile phone-based education interventions can enhance adherence to diabetes self-management, improve glycemic control, and positively impact clinical parameters such as lipid levels, body mass index, blood pressure, and medication adherence. Conclusion: Health education interventions delivered by healthcare professionals through mobile phones can significantly improve self-care management and prevent complications in patients with type 2 diabetes who maintain controlled blood glucose levels.
- MeSH
- lidé MeSH
- maligní melanom kůže * diagnóza epidemiologie prevence a kontrola MeSH
- mobilní aplikace * MeSH
- umělá inteligence MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- novinové články MeSH
- Klíčová slova
- Kardi Ai,
- MeSH
- ambulantní monitorování * metody MeSH
- lidé MeSH
- mobilní aplikace * MeSH
- srdeční arytmie * diagnostické zobrazování MeSH
- umělá inteligence MeSH
- zdravotnické prostředky MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- rozhovory MeSH
