Notes
![]() ![]() Notes - notes.io |
care for their infants either called the health care professional working with the study team or reused the system immediately and found no danger signs. All 18 mothers agreed or strongly agreed that the NeMo system was easy to use and helped them know when to seek care for their babies. CONCLUSIONS NeMo is a feasible and acceptable tool to aid mothers in rural Uganda to assess their infant's health. ©Shababa B Matin, Allison Wallingford, Shicheng Xu, Natalie Ng, Anthony Ho, Madison Vanosdoll, Peter Waiswa, Alain B Labrique, Soumyadipta Acharya. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 18.02.2020.BACKGROUND Sudden unexpected death in epilepsy (SUDEP) is second only to stroke in neurological events resulting in years of potential life lost. Postictal generalized electroencephalogram (EEG) suppression (PGES) is a period of suppressed brain activity often occurring after generalized tonic-clonic seizure, a most significant risk factor for SUDEP. Therefore, PGES has been considered as a potential biomarker for SUDEP risk. Automatic PGES detection tools can address the limitations of labor-intensive, and sometimes inconsistent, visual analysis. A successful approach to automatic PGES detection must overcome computational challenges involved in the detection of subtle amplitude changes in EEG recordings, which may contain physiological and acquisition artifacts. OBJECTIVE This study aimed to present a random forest approach for automatic PGES detection using multichannel human EEG recordings acquired in epilepsy monitoring units. METHODS We used a combination of temporal, frequency, wavelet, and interchanneQiang Zhang, Licong Cui. Originally published in JMIR Medical Informatics (http//medinform.jmir.org), 14.02.2020.BACKGROUND Recent evidence of the effectiveness of mobile phone-based diabetes management systems is generally based on studies conducted in tertiary hospitals or professional diabetes clinics. OBJECTIVE This study aimed to evaluate the clinical efficacy and applicability of a mobile phone-based glucose-monitoring and feedback system for the management of type 2 diabetes mellitus (T2DM) in multiple primary care clinic settings. METHODS In this multicenter, cluster-randomized controlled, open trial, 13 primary care clinics in Seoul and other large cities in South Korea were voluntarily recruited. Overall, 150 (9 clinics) and 97 (4 clinics) participants with T2DM were assigned to the intervention and control groups, respectively (21 allocation). Every month, participants in both groups attended face-to-face physicians' consultation for the management of diabetes in the clinic. For the intervention group, participants were required to upload their daily self-monitoring of blood glucose (SMBG) results using the m was more significant among younger patients and higher baseline HbA1c levels. CONCLUSIONS The mobile phone-based glucose-monitoring and feedback system was effective in glycemic control when applied in primary care clinic settings. This system could be utilized effectively with diverse institutions and patients. TRIAL REGISTRATION Clinical Research Information Service (CRIS) https//tinyurl.com/tgqawbz. ©Yeoree Yang, Eun Young Lee, Hun-Sung Kim, Seung-Hwan Lee, Kun-Ho Yoon, Jae-Hyoung Cho. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 26.02.2020.BACKGROUND Ankle sprains are one of the most frequent sports injuries. With respect to the high prevalence of ankle ligament injuries and patients' young age, optimizing treatment and rehabilitation is mandatory to prevent future complications such as chronic ankle instability or osteoarthritis. OBJECTIVE In modern times, an increasing amount of smartphone usage in patient care is evident. Studies investigating mobile health (mHealth)-based rehabilitation programs after ankle sprains are rare. The aim of this study was to expose any issues present in the development process of a medical app as well as associated risks and chances. METHODS The development process of the Ankle Joint App was defined in chronological order using a protocol. The app's quality was evaluated using the (user) German Mobile App Rating Scale (MARS-G) by voluntary foot and ankle surgeons (n=20) and voluntary athletes (n=20). RESULTS A multidisciplinary development team built a hybrid app with a corresponding backend structure. The app'sshed nondigital therapy paths. ©Florian Dittrich, David Alexander Back, Anna Katharina Harren, Marcus Jäger, Stefan Landgraeber, Felix Reinecke, Sascha Beck. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 26.02.2020.BACKGROUND In recent years, the considerable increase in the number of mobile health (mHealth) apps has made health care more accessible and affordable for all. However, the exponential growth in mHealth solutions has occurred with almost no control or regulation of any kind. Despite some recent initiatives, there is still no specific regulation procedure, accreditation system, or standards to help the development of the apps, mitigate risks, or guarantee quality. OBJECTIVE The main aim of this study was to propose a set of criteria for mHealth-related apps on the basis of what is available from published studies, guidelines, and standards in the various areas that are related to health app development. METHODS We used three sources of information to identify the most important criteria. First, we conducted a systematic review of all the studies published on pain-related apps. Second, we searched for health app recommendations on the websites of professional organizations. Third, we looked for standards govervelopment of mHealth-related apps and, potentially, to measure the quality of an mHealth app. ©Pere Llorens-Vernet, Jordi Miró. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 03.03.2020.BACKGROUND To enhance the efficacy of information and communication, health care has increasingly turned to digitalization. Electronic health (eHealth) is an important factor that influences the use and receipt of benefits from Web-based health resources. Consequently, the concept of eHealth literacy has emerged, and in 2006 Norman and Skinner developed an 8-item self-report instrument to measure these skills the eHealth Literacy Scale (eHEALS). However, the eHEALS has not been tested for reliability and validity in the general Swedish population and no threshold values have been established. OBJECTIVE The aim of this study was to translate and adapt eHEALS into a Swedish version; evaluate convergent validity and psychometric properties; and determine threshold levels for inadequate, problematic, and sufficient eHealth literacy. METHODS Prospective psychometric evaluation study included 323 participants equally distributed between sexes with a mean age of 49 years recruited from 12 different arenas. RESULTS Tdequate, problematic, and sufficient levels of eHealth literacy seem to be relevant. However, there are some linguistic issues relating to the concept of health resources. ©Josefin Wångdahl, Maria Jaensson, Karuna Dahlberg, Ulrica Nilsson. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 24.02.2020.BACKGROUND There is a growing body of evidence highlighting the potential of mobile health (mHealth) in reducing health care costs, enhancing access, and improving the quality of patient care. However, user acceptance and adoption are key prerequisites to harness this potential; hence, a deeper understanding of the factors impacting this adoption is crucial for its success. OBJECTIVE The aim of this review was to systematically explore relevant published literature to synthesize the current understanding of the factors impacting clinicians' adoption of mHealth tools, not only from a technological perspective but also from social and organizational perspectives. METHODS A structured search was carried out of MEDLINE, PubMed, the Cochrane Library, and the SAGE database for studies published between January 2008 and July 2018 in the English language, yielding 4993 results, of which 171 met the inclusion criteria. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines and the Cochrane hahristine K Jacob, Antonio Sanchez-Vazquez, Chris Ivory. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 20.02.2020.BACKGROUND Despite progress over the last decade, there is a continuing unmet need for contraception in Cambodia. click here Interventions delivered by mobile phone could help increase uptake and continuation of contraception, particularly among hard-to-reach populations, by providing interactive personalized support inexpensively wherever the person is located and whenever needed. OBJECTIVE The objective of this study was to evaluate the cost-effectiveness of mobile phone-based support added to standard postabortion family planning care in Cambodia, according to the results of the MOTIF (MObile Technology for Improved Family planning) trial. METHODS A model was created to estimate the costs and effects of the intervention versus standard care. We adopted a societal perspective when estimating costs, including direct and indirect costs for users. The incremental cost-effectiveness ratio was calculated for the base case, as well as a deterministic and probabilistic sensitivity analysis, which we compared against a range selling for women who have had an abortion should be considered as an option by policy makers. TRIAL REGISTRATION ClinicalTrials.gov NCT01823861; https//clinicaltrials.gov/ct2/show/NCT01823861. ©Jeremy Hill, Jourdan McGinn, John Cairns, Caroline Free, Chris Smith. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 25.02.2020.BACKGROUND There are numerous mobile apps for tracking work hours, but only a few of them record work hours automatically instead of relying on manual logging. No apps have been customized for medical staff, whose work schedules are highly complicated as they have both regular hours and on-call duties. OBJECTIVE The specific aims of this study were to (1) identify the Staff Hours app users' GPS-defined work hours, (2) examine the overtime work hours from the app-recorded total work hours and the participants' self-reported scheduled work hours, and (3) compare these app-recorded total work hours among different occupations. METHODS We developed an app, Staff Hours, to automatically calculate a user's work hours via GPS background data. Users can enter their scheduled hours, including regular hours and on-call duties. The app automatically generates overtime reports by comparing the app-recorded total work hours with the user-defined scheduled hours. A total of 183 volunteers (60 females and 123 males; mean age, reduce bias, and allow for better complying with labor regulations. ©Ting-Wei Chiang, Si-Yu Chen, Yuan-Chien Pan, Yu-Hsuan Lin. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 25.02.2020.BACKGROUND Problems with prospective memory, which refers to the ability to remember future intentions, cause deficits in basic and instrumental activities of daily living, such as taking medications. Older adults show minimal deficits when they rely on mostly preserved and relatively automatic associative retrieval processes. On the basis of this, we propose to provide external cues to support the automatic retrieval of an intended action, that is, to take medicines. To reach this end, we developed the Medication Ambient Display (MAD), a system that unobtrusively presents relevant information (unless it requires the users' attention) and uses different abstract modalities to provide external cues that enable older adults to easily take their medications on time and be aware of their medication adherence. OBJECTIVE This study aimed to assess the adoption and effect of external cues provided through ambient displays on medication adherence in older adults. METHODS A total of 16 older adults, who took at least three medications and had mild cognitive impairment, participated in the study.
Read More: https://www.selleckchem.com/products/remdesivir.html
![]() |
Notes is a web-based application for online taking notes. You can take your notes and share with others people. If you like taking long notes, notes.io is designed for you. To date, over 8,000,000,000+ notes created and continuing...
With notes.io;
- * You can take a note from anywhere and any device with internet connection.
- * You can share the notes in social platforms (YouTube, Facebook, Twitter, instagram etc.).
- * You can quickly share your contents without website, blog and e-mail.
- * You don't need to create any Account to share a note. As you wish you can use quick, easy and best shortened notes with sms, websites, e-mail, or messaging services (WhatsApp, iMessage, Telegram, Signal).
- * Notes.io has fabulous infrastructure design for a short link and allows you to share the note as an easy and understandable link.
Fast: Notes.io is built for speed and performance. You can take a notes quickly and browse your archive.
Easy: Notes.io doesn’t require installation. Just write and share note!
Short: Notes.io’s url just 8 character. You’ll get shorten link of your note when you want to share. (Ex: notes.io/q )
Free: Notes.io works for 14 years and has been free since the day it was started.
You immediately create your first note and start sharing with the ones you wish. If you want to contact us, you can use the following communication channels;
Email: [email protected]
Twitter: http://twitter.com/notesio
Instagram: http://instagram.com/notes.io
Facebook: http://facebook.com/notesio
Regards;
Notes.io Team