Comparison of Regression and Machine Learning Methods in Depression Forecasting Among Home-Based Elderly Chinese: A Community Based Study

BackgroundDepression is highly prevalent and considered as the most common psychiatric disorder in home-based elderly, while study on forecasting depression risk in the elderly is still limited. In an endeavor to improve accuracy of depression forecasting, machine learning (ML) approaches have been recommended, in addition to the application of more traditional regression approaches.MethodsA prospective study was employed in home-based elderly Chinese, using baseline (2011) and follow-up (2013) data of the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative cohort study. We compared four algorithms, including the regression-based models (logistic regression, lasso, ridge) and ML method (random forest). Model performance was assessed using repeated nested 10-fold cross-validation. As the main measure of predictive performance, we used the area under the receiver operating characteristic curve (AUC).ResultsThe mean AUCs of the four predictive models, logistic regression, lasso, ridge, and random forest, were 0.795, 0.794, 0.794, and 0.769, respectively. The main determinants were life satisfaction, self-reported memory, cognitive ability, ADL (activities of daily living) impairment, CESD-10 score. Life satisfaction increased the odds ratio of a future depression by 128.6% (logistic), 13.8% (lasso), and 13.2% (ridge), and cognitive ability was the most important predictor in random forest.ConclusionsThe three regression-based models and one ML algorithm performed equally well in differentiating between a future depression case and a non-depression case in home-based elderly. When choosing a model, different considerations, however, such as easy operating, might in some instances lead to one model being prioritized over another.

Gauging the impact of personal lifestyle, indoor environmental quality and work-related factors on occupant productivity when working from home

PurposePersonal lifestyle, work environments and work-related factors can significantly affect occupant productivity. Although many studies examine the affecting factors of occupant productivity in offices, explorations for the home-based work environment, which is designed mainly for living purposes, are still scarce. Moreover, current pandemic has made work from home a new normal for workers around the world. Therefore, it is important to identify key causal factors of occupant productivity when working from home.Design/methodology/approachThis study employed descriptive analysis and regression analysis method to explore the relationship among personal lifestyle, indoor environmental quality and work-related factors toward occupant productivity. A questionnaire including a comprehensive list of key measures was designed and 189 valid responses were collected from more than 13,000 participants.FindingsResults show that a healthy lifestyle, the perceived satisfaction of visual and acoustic environment, communication, interest in work, workload, flexible schedule and privacy positively affect occupant productivity when working from home, while coffee consumption, outside views and windows have negative effect.Originality/valueOpportunities to enhance occupants' home-based work productivity include developing a healthy lifestyle by taking advantage of flexible schedule, equipping a working room at home with advanced and intelligent environment control systems, and improving communication, workload and schedule by changing the policy of companies.

Effect of Home-based Pulmonary Rehabilitation on Fatigue, Dyspnea, and Activities of Daily Living of COVID-19 Patients

Background: The acute nature and complications of COVID-19, including fatigue and dyspnea, reduce the ability of the affected individuals to play individual and social roles and perform activities of daily living, and have adverse effects on the life quality and economic status of patients. Conducting pre-discharge rehabilitation programs following a home-based approach can be effective in reducing fatigue and dyspnea and improving the activities of daily living of COVID-19 patients. Objectives: This study aimed to investigate the effect of home-based pulmonary rehabilitation on fatigue, dyspnea, and activities of daily living of COVID-19 patients in the teaching hospitals of Zahedan University of Medical Sciences in 2020. Methods: The quasi-experimental study enrolled 60 patients with COVID-19 respiratory symptoms admitted to the COVID-19 intensive care units of teaching hospitals affiliated with Zahedan University of Medical Sciences in 2020. The patients who met the inclusion criteria were selected using convenience sampling and randomly divided into intervention and control groups with color cards. The instruments used to collect the data were the Fatigue Severity Scale (FSS), the Borg Dyspnea Scale, and the Barthel Index completed by the participants before, two weeks, and two months after the intervention. The rehabilitation training was provided to the patient and the primary caregiver in the intervention group in three 45-min sessions individually and using training videos during the hospital stay. After discharge, the patients were followed up in person or by phone for eight weeks to ensure the effectiveness of the rehabilitation program. The collected data were analyzed using SPSS-22 software through repeated measures analysis of variance (ANOVA), independent samples t-test, and chi-square test at a significance level of 0.05 (P < 0.05). Results: The repeated measures ANOVA showed that changes in the fatigue and dyspnea scores were significant over time (P < 0.001). Furthermore, the intervention effect was significant (P = 0.04), and more remarkable changes were observed in the intervention group than in the control group. Given the significance of the group-time interactive effect on the two given variables, the comparisons were made point by point and with Bonferroni correction again by time and group. There were significant differences in the mean fatigue scores in the second (P = 0.03) and third (P < 0.001) stages and the mean dyspnea scores (P < 0.001) between the two groups. The mean scores of activities of daily living two weeks and two months after the intervention were significantly different between the two groups, with higher scores in the intervention group than in the control group (P = 0.01). The repeated measures ANOVA confirmed a statistically significant difference between the two groups in terms of the effect of time (P < 0.001) and group (P = 0.03) on the patients’ activities of daily living. Conclusions: The study showed that home-based pulmonary rehabilitation measures were effective on fatigue, dyspnea, and activities of daily living of COVID-19 patients. Thus, this intervention approach by nurses for family participation can be practical for treating acute and chronic respiratory diseases.

Comparison of visual acuity measured by ETDRS based smart phone applications I sight pro and Peek acuity versus traditional Snellen\\\'s chart visual acuity in children 6-14 years in a tertiary care institute in India

Covid-19 pandemic has led to children missing schools due to which eye care screening activities at schools have taken a backseat. To mitigate this home based visual acuity estimation smartphone applications are increasingly being used for the purpose of tele-ophthalmology purposes, although with no validation of the same. We aim to fulfil this lacunae. Current study was a cross sectional analysis on 286 eyes of 148 children aged between 6years to 14years attending our OPD from April 2021 to June 2021, with non-acute ocular symptomatology. Snellen’s distant visual acuity was compared against the visual acuity recorded by smart phone based Isight pro app and Peek acuity smart phone app. Statistical analysis was performed by Bland Altmann analysis by using SPSS version 21 and p&#60;0.05 was taken as the level of significance. The mean differences between the smartphone-based test Isight pro and the Snellen’s chart and the smartphone-based test Peek acuity and Snellen’s acuity data were 0.06 (95%CI, 0.04–0.08) and 0.07 (95%CI,0.05–0.09) logMAR, respectively. Time taken to test visual acuity by Snellen’s chart was approximately 118.2±21.38 seconds, whereas with Isight pro and Peek acuity smart phone apps the time for testing was approximately 92±15.88 seconds and 94.03±19.73 seconds respectively. P&#60;0.05.The mean visual acuity was comparable with Snellen’s chart and ETDRS based smart phone apps like Isight pro and Peek acuity. The mean time to assess visual acuity was slightly more in Snellen’s acuity than with smart phone based apps. Inability to access eye care services through screening activities in schools has been mitigated effectively by using these smart phone apps. Hence these smart phone apps can be effectively used in tele-ophthalmologic practice and screening activities in these COVID-19 pandemic times.

Comprehensive supervised heavy training program versus home training regimen in patients with subacromial impingement syndrome: a randomized trial

Background There is no consensus on the best training regimen for subacromial impingement syndrome (SIS). Several have been suggested, but never tested. The purpose of the study is to compare a comprehensive supervised training regimen (STR) based on latest evidence including heavy slow resistance training with a validated home-based regimen (HTR). We hypothesized that the STR would be superior to the HTR. Methods Randomised control trial with blinded assessor. 126 consecutive patients with SIS were recruited and equally randomised to 12 weeks of either supervised training regimen (STR), or home-based training regimen (HTR). Primary outcomes were Constant Score (CS) and Shoulder Rating Questionnaire (SRQ) from baseline and 6 months after completed training. Results were analyzed according to intention-to treat principles. The study was retrospectively registered in ClinicalTrials.gov. Date of registration: 07/06/2021. Identification number: NCT04915430. Results CS improved by 22.7 points for the STR group and by 23,7 points for the HTR (p = 0.0001). The SRQ improved by 17.7 and 18.1 points for the STR and the HTR groups respectively (p = 0.0001). The inter-group changes were non-significant. All secondary outcomes (passive and active range of motion, pain on impingement test, and resisted muscle tests) improved in both groups, without significant inter-group difference. Conclusion We found no significant difference between a comprehensive supervised training regimen including heavy training principles, and a home-based training program in patients with SIS.

Objective Assessment of Superiority of Enteral Feeding by Traditional Home Kitchen-Based Feed V/S Commercial Formula Feed in Patients of Esophagogastric Corrosive Injury

Background: Corrosive ingestion can cause severe chemical injury to upper gastrointestinal tract which leads to dysphagia, malnutrition and weight loss. Early nutritional assessment and support through feeding jejunostomy is important and it should be nutritionally optimum and economically balanced. The aim is to compare cost and nutritional status after nutritional support with traditional home kitchen made and commercial formula feed through feeding jejunostomy.Methods:A prospective study included patients on enteral nutrition based on traditional home kitchen feed (cohort-1) and on commercial formula feed (cohort-2). Patient’s body weight, BMI, haemoglobin, serum albumin, nutritional risk index, controlling nutritional status score were checked at the admission, 3rd and 6th month follow up.Results: In cohort 1 mean albumin and haemoglobin raised by 33.13% & 14.60% at 3rd month and 47.23% & 22.3% at 6th month respectively; In cohort 2 it was 9.12% & 2.69% at 3rd month and 17.62% & 6.53% at 6th month respectively. At 6th month in cohort 1 and 2 mean weight gain was 7.56% & 4.0%; mean increase in NRI was 34.78% & 11.5% respectively. Mean CONUT score at six months was better improved in cohort 1 which is 6 to 1 as compared to cohort 2 which was 6 to 3. Mean monthly cost of home-based feeds was significantly lower as compared to commercial feeds (62.14 Rs v/s 682-2354 Rs/day).Conclusions:In corrosive GI tract injury patient enteral nutrition with traditional home kitchen-based feeds is safe, cost effective and associated with better improvement in nutritional status objective parameters.

New Internet of Medical Things for Home-Based Treatment of Anorectal Disorders

Home-based healthcare provides a viable and cost-effective method of delivery for resource- and labour-intensive therapies, such as rehabilitation therapies, including anorectal biofeedback. However, existing systems for home anorectal biofeedback are not able to monitor patient compliance or assess the quality of exercises performed, and as a result have yet to see wide spread clinical adoption. In this paper, we propose a new Internet of Medical Things (IoMT) system to provide home-based biofeedback therapy, facilitating remote monitoring by the physician. We discuss our user-centric design process and the proposed architecture, including a new sensing probe, mobile app, and cloud-based web application. A case study involving biofeedback training exercises was performed. Data from the IoMT was compared against the clinical standard, high-definition anorectal manometry. We demonstrated the feasibility of our proposed IoMT in providing anorectal pressure profiles equivalent to clinical manometry and its application for home-based anorectal biofeedback therapy.