Notes
Notes - notes.io |
The connection regarding childhood trauma encounters with intellectual distortions and also feeling of coherence throughout nursing students.
© 2020. Published by The Company of Biologists Ltd.BACKGROUND Despite the high burden of new HIV infections in minor adolescents, they are often excluded from biomedical HIV prevention trials, largely owing to the ethical complexities of obtaining consent for enrollment. Researchers and ethics regulators have a duty to protect adolescents-as a special category of human subjects, they must have protection that extends beyond those afforded to all human subjects. Typically, additional protection includes parental consent for enrollment. However, parental consent can present a risk of harm for minor adolescents. Research involving minor adolescents indicate that they are unwilling to join biomedical trials for stigmatized health problems, such as HIV, when parental consent is required. This presents a significant barrier to progress in adolescent HIV prevention by creating delays in research and the translation of new scientific evidence generated in biomedical trials in adult populations. OBJECTIVE This protocol aims to examine how parental involvement in the c/16509. ©Amelia Knopf, Mary A Ott, Claire Burke Draucker, J Dennis Fortenberry, Daniel H Reirden, Renata Arrington-Sanders, John Schneider, Diane Straub, Rebecca Baker, Giorgos Bakoyannis, Gregory D Zimet. Originally published in JMIR Research Protocols (http//www.researchprotocols.org), 30.03.2020.BACKGROUND Connected medical technology is increasingly prevalent and offers both a host of new therapeutic potentials and cybersecurity-related considerations. Current practice largely does not include discussions of cybersecurity issues when clinicians obtain informed consent. OBJECTIVE This paper aims to raise awareness about cybersecurity considerations for connected medical technology as they relate to informed consent discussions between patients and clinicians. METHODS Clinicians, health care cybersecurity researchers, and informed consent experts propose the concept of a cybersecurity informed consent for connected medical technology. RESULTS This viewpoint discusses concepts designed to facilitate further discussion on the need, development, and execution of cybersecurity informed consent. CONCLUSIONS Cybersecurity informed consent may be a necessary component of informed consent practices, as connected medical technology proliferates in the health care environment. ©Jeffrey Tully, Andrea Coravos, Megan Doerr, Christian Dameff. Originally published in the Journal of Medical Internet Research (http//www.jmir.org), 30.03.2020.BACKGROUND Manually counting a child's respiratory rate (RR) for 60 seconds using an acute respiratory infection timer is the World Health Organization (WHO) recommended method for detecting fast breathing as a sign of pneumonia. However, counting the RR is challenging and misclassification of an observed rate is common, often leading to inappropriate treatment. PKM2inhibitor To address this gap, the acute respiratory infection diagnostic aid (ARIDA) project was initiated in response to a call for better pneumonia diagnostic aids and aimed to identify and assess automated RR counters for classifying fast breathing pneumonia when used by front-line health workers in resource-limited community settings and health facilities. The Children's Automated Respiration Monitor (ChARM), an automated RR diagnostic aid using accelerometer technology developed by Koninklijke Philips NV, and the Rad-G, a multimodal RR diagnostic and pulse oximeter developed by Masimo, were the two devices tested in these studies conducted in the SouthernIDENTIFIER (IRRID) DERR1-10.2196/14405. ©Kevin Nicholas Baker, Alice Maurel, Charlotte Ward, Dawit Getachew, Tedila Habte, Cindy McWhorter, Paul LaBarre, Jonas Karlström, Max Petzold, Karin Källander. Originally published in JMIR Research Protocols (http//www.researchprotocols.org), 30.03.2020.BACKGROUND Diarrhea is the second-leading cause of death in children under 5 years of age. In low- and middle-income countries, 3%-20% of acute diarrheal episodes become persistent diarrhea (PD) (ie, duration ≥14 days), which results in 36%-56% of all diarrheal deaths. In Bangladesh, PD causes >25% of diarrhea-related deaths. Commensal gut microbiota dysbiosis is increasingly recognized in the pathogenesis of PD. Hospital-based management of PD requires a hospital stay, which increases the risk of infection and hospital costs. The higher cost of treatment and high case-fatality rates reiterate PD as an important public health problem. At the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), for the last two decades, a consensus-based guideline has been followed for PD. Observation has revealed that green banana helps in the resolution of diarrhea. However, no larger prospective study has been conducted to evaluate the efficacy of green banana in the management of PD among children olrole of microbiota and metabolomics in the pathogenesis of PD. TRIAL REGISTRATION ClinicalTrials.gov NCT03366740; https//clinicaltrials.gov/ct2/show/NCT03366740. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/15759. ©Monira Sarmin, Md Iqbal Hossain, Shoeb Bin Islam, Nur Haque Alam, Shafiqul Alam Sarker, M Munirul Islam, Mohammod Jobayer Chisti, S M Rafiqul Islam, Mustafa Mahfuz, Tahmeed Ahmed. Originally published in JMIR Research Protocols (http//www.researchprotocols.org), 23.03.2020.BACKGROUND Adolescent depression is one of the largest health issues in the world and there is a pressing need for effective and accessible treatments. OBJECTIVE This trial examines whether affect-focused internet-based psychodynamic therapy (IPDT) with therapist support is more effective than an internet-based supportive control condition on reducing depression in adolescents. METHODS The trial included 76 adolescents (61/76, 80% female; mean age 16.6 years), self-referred via an open access website and fulfilling criteria for major depressive disorder. Adolescents were randomized to 8 weeks of IPDT (38/76, 50%) or supportive control (38/76, 50%). The primary outcome was self-reported depressive symptoms, measured with the Quick Inventory of Depressive Symptomatology for Adolescents (QIDS-A17-SR). Secondary outcomes were anxiety severity, emotion regulation, self-compassion, and an additional depression measure. Assessments were made at baseline, postassessment, and at 6 months follow-up, in addition to weekled Trial Number (ISRCTN) 16206254; http//www.isrctn.com/ISRCTN16206254. ©Karin Lindqvist, Jakob Mechler, Per Carlbring, Peter Lilliengren, Fredrik Falkenström, Gerhard Andersson, Robert Johansson, Julian Edbrooke-Childs, Hanne-Sofie J Dahl, Katja Lindert Bergsten, Nick Midgley, Rolf Sandell, Agneta Thorén, Naira Topooco, Randi Ulberg, Björn Philips. Originally published in the Journal of Medical Internet Research (http//www.jmir.org), 30.03.2020.BACKGROUND The overcrowding of hospital outpatient and emergency departments (OEDs) due to chronic respiratory diseases in certain weather or under certain environmental pollution conditions results in the degradation in quality of medical care, and even limits its availability. OBJECTIVE To help OED managers to schedule medical resource allocation during times of excessive health care demands after short-term fluctuations in air pollution and weather, we employed machine learning (ML) methods to predict the peak OED arrivals of patients with chronic respiratory diseases. METHODS In this paper, we first identified 13,218 visits from patients with chronic respiratory diseases to OEDs in hospitals from January 1, 2016, to December 31, 2017. Then, we divided the data into three datasets weather-based visits, air quality-based visits, and weather air quality-based visits. Finally, we developed ML methods to predict the peak event (peak demand days) of patients with chronic respiratory diseases (eg, asthma, respiratory infection, and chronic obstructive pulmonary disease) visiting OEDs on the three weather data and environmental pollution datasets in Guangzhou, China. RESULTS The adaptive boosting-based neural networks, tree bag, and random forest achieved the biggest receiver operating characteristic area under the curve, 0.698, 0.714, and 0.809, on the air quality dataset, the weather dataset, and weather air quality dataset, respectively. Overall, random forests reached the best classification prediction performance. CONCLUSIONS The proposed ML methods may act as a useful tool to adapt medical services in advance by predicting the peak of OED arrivals. Further, the developed ML methods are generic enough to cope with similar medical scenarios, provided that the data is available. ©Junfeng Peng, Chuan Chen, Mi Zhou, Xiaohua Xie, Yuqi Zhou, Ching-Hsing Luo. Originally published in JMIR Medical Informatics (http//medinform.jmir.org), 30.03.2020.BACKGROUND Chronic pain affects millions of Americans. Our Whole Lives, an electronic health (eHealth) toolkit for Chronic Pain (Our Whole Lives for Chronic Pain [OWLCP]), is a mind-body chronic pain management platform that teaches self-management strategies to reduce pain impact and pain medication use. OBJECTIVE The primary goal of this study was to evaluate the feasibility of OWLCP in reducing pain impact and pain-related outcomes. METHODS We conducted a pre-post clinical study (2 cohorts) to assess the feasibility of OWLCP usage among low-income patients with chronic pain. Outcome data, collected at baseline and 9 weeks, included Patient-Reported Outcomes Measurement Information System (PROMIS-29), pain self-efficacy, and pain medication use. In the statistical analysis, we used descriptive statistics, logistic regression, linear regression, and qualitative methods. RESULTS Among the enrolled 43 participants, the average age was 50 years, (39/43) 91% were female, (16/43) 37% were black, and (7/43) 16% were Hispanic. From baseline to follow-up, the PROMIS measures showed a reduction in depression (P=.02), pain interference (P=.003), and average pain impact score (P=.007). Pain self-efficacy increased ((P less then .001), whereas opioid use had a 13% reduction (P=.03). CONCLUSIONS The eHealth chronic pain management platform, OWLCP, is a potential tool to reduce the impact of chronic pain for low-income racially diverse populations. ©Paula Gardiner, Salvatore D'Amico, Man Luo, Niina Haas. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 30.03.2020.BACKGROUND Home modifications provided by occupational therapists (OTs) are effective in improving daily activity performance and reducing fall risk among community-dwelling older adults. However, the prevalence of home modification is low. One reason is the lack of a centralized database of OTs who provide home modifications. OBJECTIVE This study aimed to develop and test the usability of a mobile app directory of OTs who provide home modifications in the United States. METHODS In phase 1, a prototype was developed by identifying OTs who provide home modifications through keyword Web searches. Referral information was confirmed by phone or email. In phase 2, community-dwelling older adults aged older than 65 years and OTs currently working in the United States were purposefully recruited to participate in a single usability test of the mobile app, Home Modifications for Aging and Disability Directory of Referrals (Home Maddirs). Participants completed the System Usability Scale (SUS) and semistructured interview questions.
Website: https://www.selleckchem.com/products/pkm2-inhibitor-compound-3k.html
© 2020. Published by The Company of Biologists Ltd.BACKGROUND Despite the high burden of new HIV infections in minor adolescents, they are often excluded from biomedical HIV prevention trials, largely owing to the ethical complexities of obtaining consent for enrollment. Researchers and ethics regulators have a duty to protect adolescents-as a special category of human subjects, they must have protection that extends beyond those afforded to all human subjects. Typically, additional protection includes parental consent for enrollment. However, parental consent can present a risk of harm for minor adolescents. Research involving minor adolescents indicate that they are unwilling to join biomedical trials for stigmatized health problems, such as HIV, when parental consent is required. This presents a significant barrier to progress in adolescent HIV prevention by creating delays in research and the translation of new scientific evidence generated in biomedical trials in adult populations. OBJECTIVE This protocol aims to examine how parental involvement in the c/16509. ©Amelia Knopf, Mary A Ott, Claire Burke Draucker, J Dennis Fortenberry, Daniel H Reirden, Renata Arrington-Sanders, John Schneider, Diane Straub, Rebecca Baker, Giorgos Bakoyannis, Gregory D Zimet. Originally published in JMIR Research Protocols (http//www.researchprotocols.org), 30.03.2020.BACKGROUND Connected medical technology is increasingly prevalent and offers both a host of new therapeutic potentials and cybersecurity-related considerations. Current practice largely does not include discussions of cybersecurity issues when clinicians obtain informed consent. OBJECTIVE This paper aims to raise awareness about cybersecurity considerations for connected medical technology as they relate to informed consent discussions between patients and clinicians. METHODS Clinicians, health care cybersecurity researchers, and informed consent experts propose the concept of a cybersecurity informed consent for connected medical technology. RESULTS This viewpoint discusses concepts designed to facilitate further discussion on the need, development, and execution of cybersecurity informed consent. CONCLUSIONS Cybersecurity informed consent may be a necessary component of informed consent practices, as connected medical technology proliferates in the health care environment. ©Jeffrey Tully, Andrea Coravos, Megan Doerr, Christian Dameff. Originally published in the Journal of Medical Internet Research (http//www.jmir.org), 30.03.2020.BACKGROUND Manually counting a child's respiratory rate (RR) for 60 seconds using an acute respiratory infection timer is the World Health Organization (WHO) recommended method for detecting fast breathing as a sign of pneumonia. However, counting the RR is challenging and misclassification of an observed rate is common, often leading to inappropriate treatment. PKM2inhibitor To address this gap, the acute respiratory infection diagnostic aid (ARIDA) project was initiated in response to a call for better pneumonia diagnostic aids and aimed to identify and assess automated RR counters for classifying fast breathing pneumonia when used by front-line health workers in resource-limited community settings and health facilities. The Children's Automated Respiration Monitor (ChARM), an automated RR diagnostic aid using accelerometer technology developed by Koninklijke Philips NV, and the Rad-G, a multimodal RR diagnostic and pulse oximeter developed by Masimo, were the two devices tested in these studies conducted in the SouthernIDENTIFIER (IRRID) DERR1-10.2196/14405. ©Kevin Nicholas Baker, Alice Maurel, Charlotte Ward, Dawit Getachew, Tedila Habte, Cindy McWhorter, Paul LaBarre, Jonas Karlström, Max Petzold, Karin Källander. Originally published in JMIR Research Protocols (http//www.researchprotocols.org), 30.03.2020.BACKGROUND Diarrhea is the second-leading cause of death in children under 5 years of age. In low- and middle-income countries, 3%-20% of acute diarrheal episodes become persistent diarrhea (PD) (ie, duration ≥14 days), which results in 36%-56% of all diarrheal deaths. In Bangladesh, PD causes >25% of diarrhea-related deaths. Commensal gut microbiota dysbiosis is increasingly recognized in the pathogenesis of PD. Hospital-based management of PD requires a hospital stay, which increases the risk of infection and hospital costs. The higher cost of treatment and high case-fatality rates reiterate PD as an important public health problem. At the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), for the last two decades, a consensus-based guideline has been followed for PD. Observation has revealed that green banana helps in the resolution of diarrhea. However, no larger prospective study has been conducted to evaluate the efficacy of green banana in the management of PD among children olrole of microbiota and metabolomics in the pathogenesis of PD. TRIAL REGISTRATION ClinicalTrials.gov NCT03366740; https//clinicaltrials.gov/ct2/show/NCT03366740. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/15759. ©Monira Sarmin, Md Iqbal Hossain, Shoeb Bin Islam, Nur Haque Alam, Shafiqul Alam Sarker, M Munirul Islam, Mohammod Jobayer Chisti, S M Rafiqul Islam, Mustafa Mahfuz, Tahmeed Ahmed. Originally published in JMIR Research Protocols (http//www.researchprotocols.org), 23.03.2020.BACKGROUND Adolescent depression is one of the largest health issues in the world and there is a pressing need for effective and accessible treatments. OBJECTIVE This trial examines whether affect-focused internet-based psychodynamic therapy (IPDT) with therapist support is more effective than an internet-based supportive control condition on reducing depression in adolescents. METHODS The trial included 76 adolescents (61/76, 80% female; mean age 16.6 years), self-referred via an open access website and fulfilling criteria for major depressive disorder. Adolescents were randomized to 8 weeks of IPDT (38/76, 50%) or supportive control (38/76, 50%). The primary outcome was self-reported depressive symptoms, measured with the Quick Inventory of Depressive Symptomatology for Adolescents (QIDS-A17-SR). Secondary outcomes were anxiety severity, emotion regulation, self-compassion, and an additional depression measure. Assessments were made at baseline, postassessment, and at 6 months follow-up, in addition to weekled Trial Number (ISRCTN) 16206254; http//www.isrctn.com/ISRCTN16206254. ©Karin Lindqvist, Jakob Mechler, Per Carlbring, Peter Lilliengren, Fredrik Falkenström, Gerhard Andersson, Robert Johansson, Julian Edbrooke-Childs, Hanne-Sofie J Dahl, Katja Lindert Bergsten, Nick Midgley, Rolf Sandell, Agneta Thorén, Naira Topooco, Randi Ulberg, Björn Philips. Originally published in the Journal of Medical Internet Research (http//www.jmir.org), 30.03.2020.BACKGROUND The overcrowding of hospital outpatient and emergency departments (OEDs) due to chronic respiratory diseases in certain weather or under certain environmental pollution conditions results in the degradation in quality of medical care, and even limits its availability. OBJECTIVE To help OED managers to schedule medical resource allocation during times of excessive health care demands after short-term fluctuations in air pollution and weather, we employed machine learning (ML) methods to predict the peak OED arrivals of patients with chronic respiratory diseases. METHODS In this paper, we first identified 13,218 visits from patients with chronic respiratory diseases to OEDs in hospitals from January 1, 2016, to December 31, 2017. Then, we divided the data into three datasets weather-based visits, air quality-based visits, and weather air quality-based visits. Finally, we developed ML methods to predict the peak event (peak demand days) of patients with chronic respiratory diseases (eg, asthma, respiratory infection, and chronic obstructive pulmonary disease) visiting OEDs on the three weather data and environmental pollution datasets in Guangzhou, China. RESULTS The adaptive boosting-based neural networks, tree bag, and random forest achieved the biggest receiver operating characteristic area under the curve, 0.698, 0.714, and 0.809, on the air quality dataset, the weather dataset, and weather air quality dataset, respectively. Overall, random forests reached the best classification prediction performance. CONCLUSIONS The proposed ML methods may act as a useful tool to adapt medical services in advance by predicting the peak of OED arrivals. Further, the developed ML methods are generic enough to cope with similar medical scenarios, provided that the data is available. ©Junfeng Peng, Chuan Chen, Mi Zhou, Xiaohua Xie, Yuqi Zhou, Ching-Hsing Luo. Originally published in JMIR Medical Informatics (http//medinform.jmir.org), 30.03.2020.BACKGROUND Chronic pain affects millions of Americans. Our Whole Lives, an electronic health (eHealth) toolkit for Chronic Pain (Our Whole Lives for Chronic Pain [OWLCP]), is a mind-body chronic pain management platform that teaches self-management strategies to reduce pain impact and pain medication use. OBJECTIVE The primary goal of this study was to evaluate the feasibility of OWLCP in reducing pain impact and pain-related outcomes. METHODS We conducted a pre-post clinical study (2 cohorts) to assess the feasibility of OWLCP usage among low-income patients with chronic pain. Outcome data, collected at baseline and 9 weeks, included Patient-Reported Outcomes Measurement Information System (PROMIS-29), pain self-efficacy, and pain medication use. In the statistical analysis, we used descriptive statistics, logistic regression, linear regression, and qualitative methods. RESULTS Among the enrolled 43 participants, the average age was 50 years, (39/43) 91% were female, (16/43) 37% were black, and (7/43) 16% were Hispanic. From baseline to follow-up, the PROMIS measures showed a reduction in depression (P=.02), pain interference (P=.003), and average pain impact score (P=.007). Pain self-efficacy increased ((P less then .001), whereas opioid use had a 13% reduction (P=.03). CONCLUSIONS The eHealth chronic pain management platform, OWLCP, is a potential tool to reduce the impact of chronic pain for low-income racially diverse populations. ©Paula Gardiner, Salvatore D'Amico, Man Luo, Niina Haas. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 30.03.2020.BACKGROUND Home modifications provided by occupational therapists (OTs) are effective in improving daily activity performance and reducing fall risk among community-dwelling older adults. However, the prevalence of home modification is low. One reason is the lack of a centralized database of OTs who provide home modifications. OBJECTIVE This study aimed to develop and test the usability of a mobile app directory of OTs who provide home modifications in the United States. METHODS In phase 1, a prototype was developed by identifying OTs who provide home modifications through keyword Web searches. Referral information was confirmed by phone or email. In phase 2, community-dwelling older adults aged older than 65 years and OTs currently working in the United States were purposefully recruited to participate in a single usability test of the mobile app, Home Modifications for Aging and Disability Directory of Referrals (Home Maddirs). Participants completed the System Usability Scale (SUS) and semistructured interview questions.
Website: https://www.selleckchem.com/products/pkm2-inhibitor-compound-3k.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
