Category: Nevin Manimala

JMIR Aging. 2023 Jan 19;6:e36807. doi: 10.2196/36807.

ABSTRACT

BACKGROUND: The increased use of wearable sensor technology has highlighted the potential for remote telehealth services such as rehabilitation. Telehealth services incorporating wearable sensors are most likely to appeal to the older adult population in remote and rural areas, who may struggle with long commutes to clinics. However, the usability of such systems often discourages patients from adopting these services.

OBJECTIVE: This study aimed to understand the usability factors that most influence whether an older adult will decide to continue using a wearable device.

METHODS: Older adults across 4 different regions (Northern Ireland, Ireland, Sweden, and Finland) wore an activity tracker for 7 days under a free-living environment protocol. In total, 4 surveys were administered, and biometrics were measured by the researchers before the trial began. At the end of the trial period, the researchers administered 2 further surveys to gain insights into the perceived usability of the wearable device. These were the standardized System Usability Scale (SUS) and a custom usability questionnaire designed by the research team. Statistical analyses were performed to identify the key factors that affect participants’ intention to continue using the wearable device in the future. Machine learning classifiers were used to provide an early prediction of the intention to continue using the wearable device.

RESULTS: The study was conducted with older adult volunteers (N=65; mean age 70.52, SD 5.65 years) wearing a Xiaomi Mi Band 3 activity tracker for 7 days in a free-living environment. The results from the SUS survey showed no notable difference in perceived system usability regardless of region, sex, or age, eliminating the notion that usability perception differs based on geographical location, sex, or deviation in participants’ age. There was also no statistically significant difference in SUS score between participants who had previously owned a wearable device and those who wore 1 or 2 devices during the trial. The bespoke usability questionnaire determined that the 2 most important factors that influenced an intention to continue device use in an older adult cohort were device comfort (τ=0.34) and whether the device was fit for purpose (τ=0.34). A computational model providing an early identifier of intention to continue device use was developed using these 2 features. Random forest classifiers were shown to provide the highest predictive performance (80% accuracy). After including the top 8 ranked questions from the bespoke questionnaire as features of our model, the accuracy increased to 88%.

CONCLUSIONS: This study concludes that comfort and accuracy are the 2 main influencing factors in sustaining wearable device use. This study suggests that the reported factors influencing usability are transferable to other wearable sensor systems. Future work will aim to test this hypothesis using the same methodology on a cohort using other wearable technologies.

PMID:36656636 | DOI:10.2196/36807

JMIR Form Res. 2023 Jan 19;7:e40135. doi: 10.2196/40135.

ABSTRACT

BACKGROUND: Mindfulness and meditation have a rich historical tradition, and a growing scientific base of evidence supports their use in creating positive psychological and neuroplastic changes for practitioners. Although meditation can be taught in various ways, the scientific community has yet to systematically study the impact of different types of meditation on neuropsychological outcomes, especially as it pertains to digital implementation. Therefore, it is critical that the instruction of mindfulness be evidence based because meditation is being used in both scientific and clinical settings.

OBJECTIVE: This study investigated the use of teacher cueing and the integration of neuroscience education into a meditation program. Compassion cueing was chosen as the element of experimental manipulation because traditional lineages of Buddhist meditation teach compassion for self and others as one of the primary outcomes of meditation. We hypothesized that participants receiving compassion cueing would have enhanced neuropsychological outcomes compared with those receiving functional cueing and that gains in neuroscience knowledge would relate to positive neuropsychological outcomes.

METHODS: Participants (n=89) were randomized to receive either functional cueing (control group) or compassion cueing (experimental group) and engaged with five 10-minute meditation sessions a week for 4 weeks. All intervention sessions were administered through digital presentation. All participants completed ecological momentary assessments before and after the daily intervention, as well as pre- and postintervention questionnaires.

RESULTS: Participants demonstrated significant benefits over time, including increased mindfulness and self-compassion, decreased depression, and gains in neuroscience content (all P<.001); however, no significant between-group differences were found. Daily scores from each day of the intervention showed a statistically significant shift from active toward settled. Importantly, long-term increases in mindfulness were positively correlated to changes in compassion (r=0.326; P=.009) and self-compassion (r=0.424; P<.001) and negatively correlated to changes in anxiety (r=-0.266; P=.03) and depression (r=-0.271; P=.03). Finally, the acute effects of meditation were significantly correlated to the longitudinal outcomes (with a small-to-medium effect size), especially those relevant to mindfulness.

CONCLUSIONS: We developed a novel neuroscience-based education-meditation program that enhanced self-regulation as evidenced by improved mindfulness, self-compassion, and mood state. Our findings demonstrate the behavioral importance of engaging with mindfulness meditation and reinforce the idea that the benefits of meditation are independent of teacher cueing behavior. Future studies will need to investigate the brain-based changes underlying these meditation-induced outcomes.

PMID:36656631 | DOI:10.2196/40135

J Med Internet Res. 2023 Jan 19;25:e42672. doi: 10.2196/42672.

ABSTRACT

BACKGROUND: Anxiety and depression are the most common mental disorders worldwide. Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence (AI) into wearable devices (wearable AI) has been exploited to provide mental health services.

OBJECTIVE: This review aimed to explore the features of wearable AI used for anxiety and depression to identify application areas and open research issues.

METHODS: We searched 8 electronic databases (MEDLINE, PsycINFO, Embase, CINAHL, IEEE Xplore, ACM Digital Library, Scopus, and Google Scholar) and included studies that met the inclusion criteria. Then, we checked the studies that cited the included studies and screened studies that were cited by the included studies. The study selection and data extraction were carried out by 2 reviewers independently. The extracted data were aggregated and summarized using narrative synthesis.

RESULTS: Of the 1203 studies identified, 69 (5.74%) were included in this review. Approximately, two-thirds of the studies used wearable AI for depression, whereas the remaining studies used it for anxiety. The most frequent application of wearable AI was in diagnosing anxiety and depression; however, none of the studies used it for treatment purposes. Most studies targeted individuals aged between 18 and 65 years. The most common wearable device used in the studies was Actiwatch AW4 (Cambridge Neurotechnology Ltd). Wrist-worn devices were the most common type of wearable device in the studies. The most commonly used category of data for model development was physical activity data, followed by sleep data and heart rate data. The most frequently used data set from open sources was Depresjon. The most commonly used algorithm was random forest, followed by support vector machine.

CONCLUSIONS: Wearable AI can offer great promise in providing mental health services related to anxiety and depression. Wearable AI can be used by individuals for the prescreening assessment of anxiety and depression. Further reviews are needed to statistically synthesize the studies’ results related to the performance and effectiveness of wearable AI. Given its potential, technology companies should invest more in wearable AI for the treatment of anxiety and depression.

PMID:36656625 | DOI:10.2196/42672

JMIR Mhealth Uhealth. 2023 Jan 19;11:e37716. doi: 10.2196/37716.

ABSTRACT

BACKGROUND: Overweight and obesity have been linked to several serious health problems and medical conditions. With more than a quarter of the young population having weight problems, the impacts of overweight and obesity on this age group are particularly critical. Mobile health (mHealth) apps that support and encourage positive health behaviors have the potential to achieve better health outcomes. These apps represent a unique opportunity for young people (age range 10-24 years), for whom mobile phones are an indispensable part of their everyday living. However, despite the potential of mHealth apps for improved engagement in health interventions, user adherence to these health interventions in the long term is low.

OBJECTIVE: The aims of this research were to (1) review and analyze mHealth apps targeting obesity and overweight and (2) propose guidelines for the inclusion of user interface design patterns (UIDPs) in the development of mHealth apps for obese young people that maximizes the impact and retention of behavior change techniques (BCTs).

METHODS: A search for apps was conducted in Google Play Store using the following search string: [“best weight loss app for obese teens 2020”] OR [“obesity applications for teens”] OR [“popular weight loss applications”]. The most popular apps available in both Google Play and Apple App Store that fulfilled the requirements within the inclusion criteria were selected for further analysis. The designs of 17 mHealth apps were analyzed for the inclusion of BCTs supported by various UIDPs. Based on the results of the analysis, BCT-UI design guidelines were developed. The usability of the guidelines was presented using a prototype app.

RESULTS: The results of our analysis showed that only half of the BCTs are implemented in the reviewed apps, with a subset of those BCTs being supported by UIDPs. Based on these findings, we propose design guidelines that associate the BCTs with UIDPs. The focus of our guidelines is the implementation of BCTs using design patterns that are impactful for the young people demographics. The UIDPs are classified into 6 categories, with each BCT having one or more design patterns appropriate for its implementation. The applicability of the proposed guidelines is presented by mock-ups of the mHealth app “Morphe,” intended for young people (age range 10-24 years). The presented use cases showcase the 5 main functionalities of Morphe: learn, challenge, statistics, social interaction, and settings.

CONCLUSIONS: The app analysis results showed that the implementation of BCTs using UIDPs is underutilized. The purposed guidelines will help developers in designing mHealth apps for young people that are easy to use and support behavior change. Future steps involve the development and deployment of the Morphe app and the validation of its usability and effectiveness.

PMID:36656624 | DOI:10.2196/37716

JAMA Netw Open. 2023 Jan 3;6(1):e2250423. doi: 10.1001/jamanetworkopen.2022.50423.

ABSTRACT

IMPORTANCE: An initial step to reducing emergency department (ED) visits among patients with cancer is to identify the characteristics of patients visiting the ED and examine which of those visits could be prevented.

OBJECTIVE: To explore nationwide trends and characteristics of ED visits and examine factors associated with potentially preventable ED visits and unplanned hospitalizations among patients with cancer in the US.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used data on ED visits from the National Hospital Ambulatory Medical Care Survey from January 1, 2012, to December 31, 2019; US Cancer Statistics reports were used to estimate new cancer cases each year. Frequencies and trends among 35 510 014 ED visits by adult patients (aged ≥18 years) with cancer were calculated.

MAIN OUTCOMES AND MEASURES: The primary outcome was potentially preventable ED visits, and secondary outcomes were unplanned hospitalizations and the immediacy of the ED visits. Potentially preventable ED visits were identified using the Centers for Medicare & Medicaid Services definition. The Emergency Severity Index, a triage algorithm that ranks patients based on the urgency of their health care condition, was used to measure the immediacy of ED visits (immediate [most urgent], emergent, urgent, less urgent, and nonurgent), with the categories of immediate and emergent classified as high acuity. The Wilcoxon rank sum test was used to calculate trends in ED visits among patients with cancer over time. Multivariable logistic regression analyses were performed to examine the associations of patient, hospital, and temporal factors with potentially preventable ED use and ED use resulting in hospitalization.

RESULTS: Among 854 911 106 ED visits, 35 510 014 (4.2%) were made by patients with cancer (mean [SD] age, 66.2 [16.2] years); of those, 55.2% of visits were among women, 73.2% were among non-Hispanic White individuals, 89.8% were among patients living in a private residence, and 54.3% were among Medicare enrollees. A total of 18 316 373 ED visits (51.6%) were identified as potentially preventable, and 5 770 571 visits (21.3%) were classified as high acuity. From 2012 to 2019, potentially preventable ED visits increased from 1 851 692 to 3 214 276. Pain (36.9%) was the most common reason for potentially preventable ED visits. The number of patients who visited an ED because of pain increased from 1 192 197 in 2012 to 2 405 849 in 2019 (a 101.8% increase). Overall, 28.9% of ED visits resulted in unplanned hospitalizations, which did not change significantly over time (from 32.2% in 2012 to 26.6% in 2019; P = .78 for trend). Factors such as residence in a nursing home (odds ratio, 1.73; 95% CI, 1.25-2.41) were positively associated with having a potentially preventable ED visit, and factors such as the presence of more than 1 comorbidity (odds ratio, 1.82; 95% CI, 1.43-2.32) were positively associated with having an unplanned hospitalization.

CONCLUSIONS AND RELEVANCE: In this study, 51.6% of ED visits among patients with cancer were identified as potentially preventable, and the absolute number of potentially preventable ED visits increased substantially between 2012 and 2019. These findings highlight the need for cancer care programs to implement evidence-based interventions to better manage cancer treatment complications, such as uncontrolled pain, in outpatient and ambulatory settings.

PMID:36656584 | DOI:10.1001/jamanetworkopen.2022.50423

JAMA Netw Open. 2023 Jan 3;6(1):e2251496. doi: 10.1001/jamanetworkopen.2022.51496.

ABSTRACT

IMPORTANCE: Early integration of pediatric palliative care (PPC) for children with cancer is critical for the quality of life of both patient and family. To improve access to PPC in resource-limited settings, barriers to early integration must be understood.

OBJECTIVES: To evaluate the ideal vs actual timing of PPC integration for children with cancer and to uncover barriers to early integration identified by physicians in Latin America.

DESIGN, SETTING, AND PARTICIPANTS: The Assessing Doctors’ Attitudes on Palliative Treatment (ADAPT) survey was distributed electronically from August 1, 2020, to January 31, 2021, to physicians who treat children with cancer in 17 countries in Latin America.

MAIN OUTCOMES AND MEASURES: The ADAPT survey queried for understanding of ideal vs actual timing of PPC for children with cancer and for identification of barriers to PPC integration. Descriptive statistics were used to summarize the data. For secondary analyses, a comparison of the associations of previous palliative care training with physician specialty was performed using the Pearson χ2 test or the Fisher exact test. The McNemar test was used to assess responses regarding the actual vs ideal timing of PPC consultation. Analysis of variance was used to compare mean values for perceived barriers by country income level. Answers to open-ended questions were analyzed qualitatively.

RESULTS: A total of 831 physicians (578 women [69.6%]; 275 physicians [33.1%] aged <35 years and 556 physicians [66.9%] aged ≥35 years) from 17 countries participated, with an overall response rate of 37.9% (831 of 2193) and a median country response rate of 51.4% (range, 22.2%-88.9%). Most respondents (572 [68.8%]) said that PPC should be involved from diagnosis, but only 117 (14.1%) stated that this occurred at their institution (P < .001). The most significantly ranked barriers to PPC were lack of home-based services (713 [85.8%]), personnel (654 [78.7%]), and knowledge about PPC (693 [83.4%]), along with physician (676 [81.3%]) and family (603 [72.6%]) discomfort about PPC involvement. In addition, these barriers were rated as more important in lower-middle income countries compared with upper-middle income countries and high-income countries.

CONCLUSIONS AND RELEVANCE: This study highlights the discrepancy between ideal and actual timing of PPC for children with cancer and barriers to early PPC integration in Latin America. Interventions addressing access to PPC resources, didactic training, and clinical education (with a particular focus on equitable access to basic resources and support) are critical to improve the timing and quality of PPC in the region.

PMID:36656580 | DOI:10.1001/jamanetworkopen.2022.51496

JAMA Netw Open. 2023 Jan 3;6(1):e2251506. doi: 10.1001/jamanetworkopen.2022.51506.

ABSTRACT

IMPORTANCE: Several observational studies have reported that smoking cessation is associated with a lower risk of dementia. However, no studies have examined the association between change in smoking intensity and risk of dementia.

OBJECTIVE: To investigate the association between a change in smoking intensity, including smoking reduction and smoking cessation, and risk of all dementia.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study used data from the National Health Insurance Service database of Korea. The cohort included participants 40 years or older who underwent biennial health examinations (2009 and 2011) and had current smoking status at the first health examination. The cohort was followed up until December 31, 2018, and statistical analysis was performed between July and December 2021.

EXPOSURES: Change in smoking intensity from baseline was defined operationally as follows: quitters (stopped smoking), reducers I (decreased number of cigarettes smoked per day by ≥50%), reducers II (decreased number of cigarettes smoked per day by 20%-50%), sustainers (maintained [decreased or increased] number of cigarettes smoked per day by less than 20%), or increasers (increased number of cigarettes smoked per day by ≥20%).

MAIN OUTCOMES AND MEASURES: The primary outcome was newly diagnosed dementia, which was identified by prescribed antidementia medications with concomitant International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis codes for dementia. Adjusted hazard ratios and 95% CIs were used to determine the association between change in smoking intensity and incidence of dementia, including Alzheimer disease (AD) and vascular dementia (VaD).

RESULTS: A total of 789 532 participants (756 469 males [95.8%]; mean [SD] age, 52.2 [8.5] years) were included. During a median (IQR) follow-up period of 6.3 (6.1-6.6) years, 11 912 dementia events, including 8800 AD and 1889 VaD events, were identified. Overall, participants in the quitter group had a significantly lower risk of all dementia (adjusted hazard ratio [aHR], 0.92; 95% CI, 0.87-0.97) compared with those in the sustainer group. Those in the reducer I (aHR, 1.25; 95% CI, 1.18-1.33) and increaser (aHR, 1.12; 95% CI, 1.06-1.18) groups had a significantly higher risk of all dementia compared with those in the sustainer group.The patterns for AD and VaD remained consistent with patterns for all dementia.

CONCLUSIONS AND RELEVANCE: The results of this study showed that smoking cessation was associated with a lower risk of dementia compared with sustained smoking intensity, while smoking reduction was associated with a higher risk. Smoking cessation should be emphasized in efforts to reduce the disease burden of dementia.

PMID:36656579 | DOI:10.1001/jamanetworkopen.2022.51506

Eur J Haematol. 2023 Jan 19. doi: 10.1111/ejh.13929. Online ahead of print.

ABSTRACT

INTRODUCTION: Thrombopoietin receptor agonists (TPO-RAs) increase platelet counts (PC) in the majority of patients with chronic immune thrombocytopaenia (ITP). Platelet kinetics study (PKS) might contribute to the understanding of mechanisms that lead to durable response.

OBJECTIVES: To evaluate the effects of TPO-RAs on PKS parameters in chronic ITP patients.

METHODS: Fifteen chronic ITP patients, aged 59 years [range: 22-84], female/male: 10/5, splenectomised 7/15, were treated with TPO-RAs (eltrombopag/romiplostim: 11/4). Durable response was defined as PC ≥30×10⁹ /L at 6 months. Autologous ¹¹¹ Indium-oxinate PKS was performed before and five months after TPO-RAs initiation. Accordingly, platelet survival (PS), platelet turnover, production ratio and sequestration site were assessed.

RESULTS: Durable response was achieved in 13/15 of patients (eltrombopag/romiplostim: 10/3). Pre-treatment parameters were: PC 10×10⁹ /L [range: 1-110], PS 0.5 days [range: 0.1-1.7; normal values: 7-10)], platelet turnover 30857 Plt/μl/day [range: 944-103500] and platelet production ratio 0.64 [range: 0.01-3.2 (normal values: 1±0.2)]. Post-treatment assessment showed significantly higher: PC 92.5×10⁹ /L [range:28-260, P=0.001], PS 2.2 days [range: 0.1-3.6, P=0.008], platelet turnover 70213Plt/μl/day [range:2800-462236, P=0.02] and platelet production ratio 1.8 [range: 0.5-37.9, P=0.011] compared to the pre-treatment values. Platelet sequestration site altered in 3/15 treated with TPO-RAs.

CONCLUSIONS: TPO-RAs could increase PC by simultaneous increasing of platelet production and decreasing of platelet destruction. This article is protected by copyright. All rights reserved.

PMID:36656555 | DOI:10.1111/ejh.13929

Am J Respir Crit Care Med. 2023 Jan 19. doi: 10.1164/rccm.202210-1988LE. Online ahead of print.

NO ABSTRACT

PMID:36656551 | DOI:10.1164/rccm.202210-1988LE

J Ultrasound. 2023 Jan 19. doi: 10.1007/s40477-022-00766-0. Online ahead of print.

ABSTRACT

PURPOSE: In a poor resource country where screening for adverse pregnancy outcomes using maternal biomarkers seems unattainable, there is a need to search for credible alternatives. This study is, therefore, aimed at determining the sensitivity of uterine artery Doppler pulsatility index (UtAD-PI) in predicting pregnancy outcomes in the first and second trimesters and to establish any statistical difference in mean UtAD-PI in first and second trimesters screening of women with normal and abnormal pregnancy outcomes respectively.

METHODS: This clinical-based, longitudinal, and unpaired cohort study involved 500 pregnant women, who were screened for adverse outcomes using UtAD-PI and delivered in the hospital. These were divided into two groups, each having a training set and a test set. The training set was used to generate the receiver operator characteristic curve and cut-off point while the test set was used to test for sensitivity and specificity of the Ut-ADI in each trimester.

RESULTS: The sensitivity and specificity of UtAD-PI in first-trimester screening are 97% and 76.5% while second-trimester gave sensitivity and specificity of 57.5% and 63.3% respectively. The uterine artery Doppler pulsatility index shows statistically significant differences between normal pregnancy and pregnancy with adverse outcomes (p-value = 0.000).

CONCLUSION: The uterine artery Doppler pulsatility index is a good screening tool for adverse pregnancy outcomes. First-trimester screening of patients for adverse outcomes is more sensitive than the second-trimester screening using UtAD-PI. There is also a statistically significant difference between mean UtAD-PI between normal pregnancy and pregnancy with adverse pregnancy outcomes.

PMID:36656494 | DOI:10.1007/s40477-022-00766-0