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Healthcare, Volume 10, Issue 1 (January 2022) – 177 articles

Cover Story (view full-size image): In 1997, a prospective population-based study started in northeastern Germany—the Study of Health in Pomerania (SHIP). Whereas most epidemiological studies focus on selected diseases, SHIP examines health and illness in their whole complexity. Since 2008, the extensive program has included whole-body MR imaging at 1.5 Tesla. The huge amount of data allowed generating reference values, determining the prevalence and incidence of diseases or incidental findings, and analyzing associations between morphological MR phenotypes and the genome, risk factors, subclinical disorders or manifest affliction. In a retrospective 12 years after initiation, the more than 100 publications that originated from these SHIP-MR data were analyzed regarding which MR sequences were most frequently used for scientific output, or which manuscripts have gained most citations and ranked highest. View this paper.
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Concept Paper
Implementation of Compassionate Communities: The Taipei Experience
Healthcare 2022, 10(1), 177; https://doi.org/10.3390/healthcare10010177 - 17 Jan 2022
Viewed by 575
Abstract
A worldwide movement to empower communities to support their members to care for each other at the end of life (EoL) has emerged since Kellehear published the Compassionate City Charter. This current report discusses the implementation experiences and preliminary outcomes of Compassionate Communities [...] Read more.
A worldwide movement to empower communities to support their members to care for each other at the end of life (EoL) has emerged since Kellehear published the Compassionate City Charter. This current report discusses the implementation experiences and preliminary outcomes of Compassionate Communities (CC) in Taipei City. Using the guidance of the Charter and international experiences, we have developed and multiplied a culturally sensitive, sustainable, and holistic CC program that composes municipal hospital, social, and other services, partnering with community leaders, non-governmental organizations, university students, and volunteers. Innovative campaigns, such as workshops, conferences, and the Life Issue Café, have been delivered to facilitate engagement, public education, and leadership with reverence to folk beliefs and the use of existing social networks. We have identified a model with strong collaborative leadership, high participation rates, and ongoing commitment. The gaps between asking/accepting and providing help were bridged when social connectedness was strengthened. We also integrated home-based medical care, home-based palliative care, and advance care planning to help the vulnerable who live alone, with poor status, or with limited resource access, and continue to support the community throughout the COVID-19 pandemic. Full article
(This article belongs to the Special Issue Public Health Palliative Care and Public Palliative Care Education)
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Article
The Impact of Migration Status on Adolescents’ Mental Health during COVID-19
Healthcare 2022, 10(1), 176; https://doi.org/10.3390/healthcare10010176 - 17 Jan 2022
Cited by 2 | Viewed by 816
Abstract
The purpose of this study was to compare mental health in adolescents with and without migration background after a semester of remote schooling and almost a year of social distancing in Austria. An online survey, supported by the Austrian Federal Ministry of Education, [...] Read more.
The purpose of this study was to compare mental health in adolescents with and without migration background after a semester of remote schooling and almost a year of social distancing in Austria. An online survey, supported by the Austrian Federal Ministry of Education, Science and Research, was conducted from 3rd February to 28th February 2021 measuring well-being (WHO-5), depression (PHQ-9), anxiety (GAD-7), sleep quality (ISI), stress (PSS-10), and disordered eating (EAT-8). A matched-pairs analysis with and without migration background was conducted and was checked with whole sample analysis. From a total of 3052 participants, N = 508 had a migration background (first or second generation) and N = 479 could be matched according to age, gender, region, and education with adolescents without migration background. Matched-pairs analyses showed that migration background is associated with poorer mental health concerning well-being, depression, anxiety, and insomnia scores (all p-values < 0.05). Prevalence of depressive symptoms (64.5% vs. 56.5%), anxiety symptoms (53.5% vs. 46.0%), as well as insomnia (31.9% vs. 21.0%) is higher in adolescents with migration background (all p-values ≤ 0.02). Comparison of the whole sample (N = 3052) confirmed these results. Results suggest that migration status is a risk factor for mental health problems among adolescents during the COVID-19 pandemic and highlight the need to implement easily accessible culture- and language-specific health promotion and prevention strategies. Full article
(This article belongs to the Special Issue Mental Health in Times of Pandemic: Protective and Risk Factors)
Article
Diagnostic Performance of a Deep Learning Model Deployed at a National COVID-19 Screening Facility for Detection of Pneumonia on Frontal Chest Radiographs
Healthcare 2022, 10(1), 175; https://doi.org/10.3390/healthcare10010175 - 17 Jan 2022
Viewed by 501
Abstract
(1) Background: Chest radiographs are the mainstay of initial radiological investigation in this COVID-19 pandemic. A reliable and readily deployable artificial intelligence (AI) algorithm that detects pneumonia in COVID-19 suspects can be useful for screening or triage in a hospital setting. This study [...] Read more.
(1) Background: Chest radiographs are the mainstay of initial radiological investigation in this COVID-19 pandemic. A reliable and readily deployable artificial intelligence (AI) algorithm that detects pneumonia in COVID-19 suspects can be useful for screening or triage in a hospital setting. This study has a few objectives: first, to develop a model that accurately detects pneumonia in COVID-19 suspects; second, to assess its performance in a real-world clinical setting; and third, by integrating the model with the daily clinical workflow, to measure its impact on report turn-around time. (2) Methods: The model was developed from the NIH Chest-14 open-source dataset and fine-tuned using an internal dataset comprising more than 4000 CXRs acquired in our institution. Input from two senior radiologists provided the reference standard. The model was integrated into daily clinical workflow, prioritising abnormal CXRs for expedited reporting. Area under the receiver operating characteristic curve (AUC), F1 score, sensitivity, and specificity were calculated to characterise diagnostic performance. The average time taken by radiologists in reporting the CXRs was compared against the mean baseline time taken prior to implementation of the AI model. (3) Results: 9431 unique CXRs were included in the datasets, of which 1232 were ground truth-labelled positive for pneumonia. On the “live” dataset, the model achieved an AUC of 0.95 (95% confidence interval (CI): 0.92, 0.96) corresponding to a specificity of 97% (95% CI: 0.97, 0.98) and sensitivity of 79% (95% CI: 0.72, 0.84). No statistically significant degradation of diagnostic performance was encountered during clinical deployment, and report turn-around time was reduced by 22%. (4) Conclusion: In real-world clinical deployment, our model expedites reporting of pneumonia in COVID-19 suspects while preserving diagnostic performance without significant model drift. Full article
(This article belongs to the Special Issue Artificial Intelligence in Intensive Care and Emergency Medicine)
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Article
Correlations between Diabetes Mellitus Self-Care Activities and Glycaemic Control in the Adult Population: A Cross-Sectional Study
Healthcare 2022, 10(1), 174; https://doi.org/10.3390/healthcare10010174 - 17 Jan 2022
Cited by 1 | Viewed by 544
Abstract
Although it is well known that lifestyle changes can affect plasma glucose levels, there is little formal evidence for the sustained effectiveness of exercise and diet in diabetes mellitus (DM) management. Self-care in DM refers to the real-life application of the knowledge that [...] Read more.
Although it is well known that lifestyle changes can affect plasma glucose levels, there is little formal evidence for the sustained effectiveness of exercise and diet in diabetes mellitus (DM) management. Self-care in DM refers to the real-life application of the knowledge that the patient gained during the education programmes. The goals are to bring about changes in the patient’s behaviour, thus improving glycaemic control. We evaluated the influence of DM self-care activities (SCA) on glycaemic control in a total of 159 patients with DM. Plasma glycated haemoglobin (HbA1c) levels were used to monitor glycaemic control, while SCA were assessed using the standardised Diabetes Self-Management Questionnaire (DSMQ). In our study, 53% of the patients had a HbA1c ≥ 7%. In univariate linear regression models, a statistically significant inverse association was observed between the HbA1c (the dependent variable) and both the DSMQ Dietary Control Score (R2 = 0.037, p = 0.0145) and the DSMQ Sum Score (R2 = 0.06, p = 0.0014). The mean absolute change in the HbA1c% associated with one standard deviation (SD) change in the DSMQ Sum Score, independent of the other significant variables retained in the compacted multivariate regression model, was −0.419% (confidence interval: 95%: from −0.18 to −0.65). Although the impact of the DSMQ Score was modest when compared to the other independent variables in the multivariate model, the findings emphasise the importance of maintaining optimal lifestyle changes to avoid hyperglycaemia and its complications. In conclusion, enhanced self-management of DM is associated with improved glucose control. In patients with chronic diseases such as DM, the role of streamlining SCA encompassing physical activity and proper dietary choices is imperative because of a significantly reduced access to healthcare globally as a result of the COVID-19 pandemic. Full article
(This article belongs to the Special Issue Diabetes and Comorbidities)
Article
Association of Built Environmental Features with Rates of Infectious Diseases in Remote Indigenous Communities in the Northern Territory, Australia
Healthcare 2022, 10(1), 173; https://doi.org/10.3390/healthcare10010173 - 17 Jan 2022
Viewed by 433
Abstract
The health of Indigenous Australians is far poorer than non-Indigenous Australians, including an excess burden of infectious diseases. The health effect of built environmental (BE) features on Indigenous communities receives little attention. This study’s objective was to determine associations between BE features and [...] Read more.
The health of Indigenous Australians is far poorer than non-Indigenous Australians, including an excess burden of infectious diseases. The health effect of built environmental (BE) features on Indigenous communities receives little attention. This study’s objective was to determine associations between BE features and infectious disease incidence rates in remote Indigenous communities in the Northern Territory (NT), Australia. Remote Indigenous communities (n = 110) were spatially joined to 93 Indigenous Locations (ILOC). Outcomes data were extracted (NT Notifiable Diseases System) and expressed as ILOC-specific incidence rates. Counts of buildings were extracted from community asset maps and grouped by function. Age-adjusted infectious disease rates were dichotomised, and bivariate binomial regression used to determine the relationships between BE variables and infectious disease. Infrastructure Shelter BE features were universally associated with significantly elevated disease outcomes (relative risk 1.67 to 2.03). Significant associations were observed for Services, Arena, Community, Childcare, Oval, and Sports and recreation BE features. BE groupings associated with disease outcomes were those with communal and/or social design intent or use. Comparable BE groupings without this intent or use did not associate with disease outcomes. While discouraging use of communal BE features during infectious disease outbreaks is a conceptually valid countermeasure, communal activities have additional health benefits themselves, and infectious disease transmission could instead be reduced through repairs to infrastructure, and more infrastructure. This is the first study to examine these associations simultaneously in more than a handful of remote Indigenous communities to illustrate community-level rather than aggregated population-level associations. Full article
Review
Pathway of Trends and Technologies in Fall Detection: A Systematic Review
Healthcare 2022, 10(1), 172; https://doi.org/10.3390/healthcare10010172 - 17 Jan 2022
Cited by 1 | Viewed by 696
Abstract
Falling is one of the most serious health risk problems throughout the world for elderly people. Considerable expenses are allocated for the treatment of after-fall injuries and emergency services after a fall. Fall risks and their effects would be substantially reduced if a [...] Read more.
Falling is one of the most serious health risk problems throughout the world for elderly people. Considerable expenses are allocated for the treatment of after-fall injuries and emergency services after a fall. Fall risks and their effects would be substantially reduced if a fall is predicted or detected accurately on time and prevented by providing timely help. Various methods have been proposed to prevent or predict falls in elderly people. This paper systematically reviews all the publications, projects, and patents around the world in the field of fall prediction, fall detection, and fall prevention. The related works are categorized based on the methodology which they used, their types, and their achievements. Full article
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Article
Twelve-Week Lower Trapezius-Centred Muscular Training Regimen in University Archers
Healthcare 2022, 10(1), 171; https://doi.org/10.3390/healthcare10010171 - 17 Jan 2022
Cited by 1 | Viewed by 433 | Correction
Abstract
Archery is a fine-motor-skill sport, in which success results from multiple factors including a fine neuromuscular tuning. The present study hypothesised that lower trapezius specific training can improve archers’ performance with concomitant changes in muscle activity and shoulder kinematics. We conducted a prospective [...] Read more.
Archery is a fine-motor-skill sport, in which success results from multiple factors including a fine neuromuscular tuning. The present study hypothesised that lower trapezius specific training can improve archers’ performance with concomitant changes in muscle activity and shoulder kinematics. We conducted a prospective study in a university archery team. Athletes were classified into exercise and control groups. A supervised lower trapezius muscle training program was performed for 12 weeks in the exercise group. The exercise program focused on a lower trapezius-centred muscular training. Performance in a simulated game was recorded as the primary outcome, and shoulder muscle strength, kinematics, and surface electromyography were measured and analysed. In the exercise group, the average score of the simulation game increased from 628 to 639 after the training regimens (maximum score was 720), while there were no such increases in the control group. The lower trapezius muscle strength increased from 8 to 9 kgf after training regimens and shoulder horizontal abductor also increased from 81 to 93 body weight% for the exercise group. The upper/lower trapezius ratio decreased from 2.2 to 1.1 after training. The lower trapezius exercise training regimen could effectively improve the performance of an archer with a simultaneous increase in shoulder horizontal abductor and lower trapezius muscle strength. Full article
(This article belongs to the Special Issue Improving Athletes’ Performance and Avoiding Health Issues)
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Article
An Abrupt Transition to Digital Teaching—Norwegian Medical Students and Their Experiences of Learning Output during the Initial Phase of the COVID-19 Lockdown
Healthcare 2022, 10(1), 170; https://doi.org/10.3390/healthcare10010170 - 17 Jan 2022
Viewed by 408
Abstract
Norwegian universities closed almost all on-campus activities on the 12 March 2020 following a lockdown decision of the Norwegian government in response to the COVID-19 pandemic. Online and digital teaching became the primary method of teaching. The goal of this study was to [...] Read more.
Norwegian universities closed almost all on-campus activities on the 12 March 2020 following a lockdown decision of the Norwegian government in response to the COVID-19 pandemic. Online and digital teaching became the primary method of teaching. The goal of this study was to investigate how the transition to digital education impacted on medical students enrolled at the University of Bergen (UiB). Key points were motivation, experience of learning outcomes, and fear of missing out on important learning. Using an online questionnaire, students were asked to evaluate the quality of both lectures and taught clinical skills and to elaborate on their experience of learning output, examination, and digital teaching. Answers from 230 students were included in the study. Opinions on the quality and quantity of lectures offered and their experience of learning output varied based on gender, seniority and the amount of time spent on part time jobs. Students at UiB were generally unhappy with the quality of teaching, especially lessons on clinical skills, although both positive and negative experiences were reported. Securing a satisfying offer of clinical teaching will be important to ensure and increase the student experience of learning output in the time ahead. Full article
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Article
A Noninvasive Risk Stratification Tool Build Using an Artificial Intelligence Approach for Colorectal Polyps Based on Annual Checkup Data
Healthcare 2022, 10(1), 169; https://doi.org/10.3390/healthcare10010169 - 17 Jan 2022
Cited by 1 | Viewed by 451
Abstract
Colorectal cancer is the leading cause of cancer-related deaths worldwide, and early detection has proven to be an effective method for reducing mortality. The machine learning method can be implemented to build a noninvasive stratifying tool that helps identify patients with potential colorectal [...] Read more.
Colorectal cancer is the leading cause of cancer-related deaths worldwide, and early detection has proven to be an effective method for reducing mortality. The machine learning method can be implemented to build a noninvasive stratifying tool that helps identify patients with potential colorectal precancerous lesions (polyps). This study aimed to develop a noninvasive risk-stratified tool for colorectal polyps in asymptomatic, healthy participants. A total of 20,129 consecutive asymptomatic patients who underwent a health checkup between January 2005 and August 2007 were recruited. Positive relationships between noninvasive risk factors, such as age, Helicobacter pylori infection, hypertension, gallbladder polyps/stone, and BMI and colorectal polyps were observed (p < 0.0001), regardless of sex, whereas significant findings were noted in men with tooth disease (p = 0.0053). A risk stratification tool was developed, for colorectal polyps, that considers annual checkup results from noninvasive examinations. For the noninvasive stratified tool, the area under the receiver operating characteristic curve (AUC) of obese females (males) aged <50 years was 91% (83%). In elderly patients (>50 years old), the AUCs of the stratifying tools were >85%. Our results indicate that the risk stratification tool can be built by using random forest and serve as an efficient noninvasive tool to identify patients requiring colonoscopy. Full article
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Review
The Potential Benefit of Hydroxychloroquine in Chronic Placental Inflammation of Unknown Etiology Associated with Adverse Pregnancy Outcomes
Healthcare 2022, 10(1), 168; https://doi.org/10.3390/healthcare10010168 - 17 Jan 2022
Viewed by 365
Abstract
The placenta is the site of connection between maternal and fetal circulation, and the liaison is established early in pregnancy. A large variety of pregnancy complications such as preterm birth, fetal growth restriction, or pregnancy loss have placental expression and can be accompanied [...] Read more.
The placenta is the site of connection between maternal and fetal circulation, and the liaison is established early in pregnancy. A large variety of pregnancy complications such as preterm birth, fetal growth restriction, or pregnancy loss have placental expression and can be accompanied in some cases of acute or chronic identifiable placental inflamatory lesions. Chronic placental inflammatory (CPI) lesions include chronic villitis of unknow etiology (CVUE), chronic intervillositis of unknown etiology, CIUE (also described as chronic histiocytic intervillositis, CHI), and chronic deciduits. Hydroxychloroquine (HCQ) has been prescribed with good results during pregnancy to prevent adverse perinatal outcomes in maternal autoimmune conditions. Its success has paved the way to its use in CPI as CIUE/CHI; however, to date, there are no prospective, informatively designed, controlled studies on its value in these setting. This review aims to explore the potential role of HCQ in CPI of unknown etiology. Ideally, properly designed, probably multicentric studies should be undertaken to fully understand HCQ’s role for prevention of adverse pregnancy outcomes after a chronic placental inflammation. Full article
(This article belongs to the Special Issue Maternal Nutrition on Neonatal Health)
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Article
Sociodemographic and Clinical Characteristics Associated with Improvements in Quality of Life for Participants with Opioid Use Disorder
Healthcare 2022, 10(1), 167; https://doi.org/10.3390/healthcare10010167 - 16 Jan 2022
Viewed by 347
Abstract
Background: The Houston Emergency Opioid Engagement System was established to create an access pathway into long-term recovery for individuals with opioid use disorder. The program determines effectiveness across multiple dimensions, one of which is by measuring the participant’s reported quality of life (QoL) [...] Read more.
Background: The Houston Emergency Opioid Engagement System was established to create an access pathway into long-term recovery for individuals with opioid use disorder. The program determines effectiveness across multiple dimensions, one of which is by measuring the participant’s reported quality of life (QoL) at the beginning of the program and at successive intervals. Methods: A visual analog scale was used to measure the change in QoL among participants after joining the program. We then identified sociodemographic and clinical characteristics associated with changes in QoL. Results: 71% of the participants (n = 494) experienced an increase in their QoL scores, with an average improvement of 15.8 ± 29 points out of a hundred. We identified 10 factors associated with a significant change in QoL. Participants who relapsed during treatment experienced minor increases in QoL, and participants who attended professional counseling experienced the largest increases in QoL compared with those who did not. Conclusions: Insight into significant factors associated with increases in QoL may inform programs on areas of focus. The inclusion of counseling and other services that address factors such as psychological distress were found to increase participants’ QoL and success in recovery. Full article
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Article
Deep Ensemble Learning-Based Models for Diagnosis of COVID-19 from Chest CT Images
Healthcare 2022, 10(1), 166; https://doi.org/10.3390/healthcare10010166 - 15 Jan 2022
Viewed by 510
Abstract
Novel coronavirus (COVID-19) has been endangering human health and life since 2019. The timely quarantine, diagnosis, and treatment of infected people are the most necessary and important work. The most widely used method of detecting COVID-19 is real-time polymerase chain reaction (RT-PCR). Along [...] Read more.
Novel coronavirus (COVID-19) has been endangering human health and life since 2019. The timely quarantine, diagnosis, and treatment of infected people are the most necessary and important work. The most widely used method of detecting COVID-19 is real-time polymerase chain reaction (RT-PCR). Along with RT-PCR, computed tomography (CT) has become a vital technique in diagnosing and managing COVID-19 patients. COVID-19 reveals a number of radiological signatures that can be easily recognized through chest CT. These signatures must be analyzed by radiologists. It is, however, an error-prone and time-consuming process. Deep Learning-based methods can be used to perform automatic chest CT analysis, which may shorten the analysis time. The aim of this study is to design a robust and rapid medical recognition system to identify positive cases in chest CT images using three Ensemble Learning-based models. There are several techniques in Deep Learning for developing a detection system. In this paper, we employed Transfer Learning. With this technique, we can apply the knowledge obtained from a pre-trained Convolutional Neural Network (CNN) to a different but related task. In order to ensure the robustness of the proposed system for identifying positive cases in chest CT images, we used two Ensemble Learning methods namely Stacking and Weighted Average Ensemble (WAE) to combine the performances of three fine-tuned Base-Learners (VGG19, ResNet50, and DenseNet201). For Stacking, we explored 2-Levels and 3-Levels Stacking. The three generated Ensemble Learning-based models were trained on two chest CT datasets. A variety of common evaluation measures (accuracy, recall, precision, and F1-score) are used to perform a comparative analysis of each method. The experimental results show that the WAE method provides the most reliable performance, achieving a high recall value which is a desirable outcome in medical applications as it poses a greater risk if a true infected patient is not identified. Full article
(This article belongs to the Topic Artificial Intelligence in Healthcare)
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Article
Impact of a Digital Intervention for Literacy in Depression among Portuguese University Students: A Randomized Controlled Trial
Healthcare 2022, 10(1), 165; https://doi.org/10.3390/healthcare10010165 - 15 Jan 2022
Viewed by 417
Abstract
Digital interventions are important tools to promote mental health literacy among university students. “Depression in Portuguese University Students” (Depressão em Estudantes Universitários Portugueses, DEEP) is an audiovisual intervention describing how symptoms can be identified and what possible treatments can be applied. The aim [...] Read more.
Digital interventions are important tools to promote mental health literacy among university students. “Depression in Portuguese University Students” (Depressão em Estudantes Universitários Portugueses, DEEP) is an audiovisual intervention describing how symptoms can be identified and what possible treatments can be applied. The aim of this study was to evaluate the impact of this intervention. A random sample of 98 students, aged 20–38 years old, participated in a 12-week study. Participants were recruited through social media by the academic services and institutional emails of two Portuguese universities. Participants were contacted and distributed into four study groups (G1, G2, G3 and G4): G1 received the DEEP intervention in audiovisual format; G2 was given the DEEP in text format; G3 received four news articles on depression; G4 was the control group. A questionnaire was shared to collect socio-demographic and depression knowledge data as a pre-intervention method; content was then distributed to each group following a set schedule; the depression knowledge questionnaire was then administered to compare pre-intervention, post-intervention and follow-up literacy levels. Using the Scheffé and Least Significant Difference (LSD) multiple comparisons test, it was found that G1, which received the DEEP audiovisual intervention, differed significantly from the other groups, with higher depression knowledge scores in post-intervention stages. The DEEP audiovisual intervention, compared to the other formats used (narrative text format; news format), proved to be an effective tool for increasing depression knowledge in university students. Full article
(This article belongs to the Special Issue Digital Transformation in Healthcare)
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Article
Using Simulation Optimization to Solve Patient Appointment Scheduling and Examination Room Assignment Problems for Patients Undergoing Ultrasound Examination
Healthcare 2022, 10(1), 164; https://doi.org/10.3390/healthcare10010164 - 15 Jan 2022
Cited by 1 | Viewed by 411
Abstract
This study investigates patient appointment scheduling and examination room assignment problems involving patients who undergo ultrasound examination with considerations of multiple examination rooms, multiple types of patients, multiple body parts to be examined, and special restrictions. Following are the recommended time intervals based [...] Read more.
This study investigates patient appointment scheduling and examination room assignment problems involving patients who undergo ultrasound examination with considerations of multiple examination rooms, multiple types of patients, multiple body parts to be examined, and special restrictions. Following are the recommended time intervals based on the findings of three scenarios in this study: In Scenario 1, the time interval recommended for patients’ arrival at the radiology department on the day of the examination is 18 min. In Scenario 2, it is best to assign patients to examination rooms based on weighted cumulative examination points. In Scenario 3, we recommend that three outpatients come to the radiology department every 18 min to undergo ultrasound examinations; the number of inpatients and emergency patients arriving for ultrasound examination is consistent with the original time interval distribution. Simulation optimization may provide solutions to the problems of appointment scheduling and examination room assignment problems to balance the workload of radiological technologists, maintain high equipment utilization rates, and reduce waiting times for patients undergoing ultrasound examination. Full article
(This article belongs to the Special Issue Management and Automation of Health Organizations)
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Article
Solving Patient Allocation Problem during an Epidemic Dengue Fever Outbreak by Mathematical Modelling
Healthcare 2022, 10(1), 163; https://doi.org/10.3390/healthcare10010163 - 15 Jan 2022
Viewed by 386
Abstract
Dengue fever is a mosquito-borne disease that has rapidly spread throughout the last few decades. Most preventive mechanisms to deal with the disease focus on the eradication of the vector mosquito and vaccination campaigns. However, appropriate mechanisms of response are indispensable to face [...] Read more.
Dengue fever is a mosquito-borne disease that has rapidly spread throughout the last few decades. Most preventive mechanisms to deal with the disease focus on the eradication of the vector mosquito and vaccination campaigns. However, appropriate mechanisms of response are indispensable to face the consequent events when an outbreak takes place. This study applied single and multiple objective linear programming models to optimize the allocation of patients and additional resources during an epidemic dengue fever outbreak, minimizing the summation of the distance travelled by all patients. An empirical study was set in Ciudad del Este, Paraguay. Data provided by a privately run health insurance cooperative was used to verify the applicability of the models in this study. The results can be used by analysts and decision makers to solve patient allocation problems for providing essential medical care during an epidemic dengue fever outbreak. Full article
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Article
Clinical Study on the Efficacy and Safety of Arginine Administered Orally in Association with Other Active Ingredients for the Prevention and Treatment of Sarcopenia in Patients with COVID-19-Related Pneumonia, Hospitalized in a Sub-Intensive Care Unit
Healthcare 2022, 10(1), 162; https://doi.org/10.3390/healthcare10010162 - 14 Jan 2022
Viewed by 769
Abstract
In order to evaluate the efficacy of oral supplementation with 3 g of arginine per day associated with creatine, L-carnitine, aspartic acid, magnesium, selenium and vitamins C and E (Argivit© Aesculapius Farmaceutici) in the prevention and treatment of sarcopenia in patients with COVID-19-related [...] Read more.
In order to evaluate the efficacy of oral supplementation with 3 g of arginine per day associated with creatine, L-carnitine, aspartic acid, magnesium, selenium and vitamins C and E (Argivit© Aesculapius Farmaceutici) in the prevention and treatment of sarcopenia in patients with COVID-19-related pneumonia, we conducted a parallel randomized study comparing it with standard therapy alone. Forty patients on standard therapy plus supplementation were compared with a control group of 40 patients, all hospitalized at the sub-intensive care unit of the Del Mare Hospital in Naples, with a clinical diagnosis of SARS-CoV-2 infection and COVID-19 pneumonia. Muscle strength was assessed with the handgrip test and muscle ultrasound. Arginine-supplemented patients had an average grip strength of 23.5 at the end of hospitalization compared with 22.5 in the untreated group with less reduction, showing statistical significance (p < 0.001). In the same way, the thickness of the vastus lateralis quadriceps femoris muscle measured at the end of hospitalization showed less reduction on ultrasound, with a higher average value in the group receiving treatment than in the group of patients without supplementation (p < 0.001). Upon discharge there was a 58.40% reduction in ventilation days in patients with arginine supplementation compared with the control group. Full article
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Project Report
Postcode Lottery in Healthcare? Findings from the Scottish National Comprehensive Geriatric Assessment in Secondary Care Audit 2019
Healthcare 2022, 10(1), 161; https://doi.org/10.3390/healthcare10010161 - 14 Jan 2022
Viewed by 519
Abstract
Comprehensive Geriatric Assessment (CGA) is provided differently across Scotland. The Scottish Care of Older People (SCoOP) CGA Audit was a national audit conducted in 2019 to assess this variation in acute hospitals. Two versions of audit questionnaires about the provision of CGA were [...] Read more.
Comprehensive Geriatric Assessment (CGA) is provided differently across Scotland. The Scottish Care of Older People (SCoOP) CGA Audit was a national audit conducted in 2019 to assess this variation in acute hospitals. Two versions of audit questionnaires about the provision of CGA were developed (one each for larger hospitals and remote/rural areas) and piloted. The questionnaires were sent to representatives from all hospitals in Scotland using the REDCap (Research Electronic Data Capture) system. The survey asked each service to provide information on CGA service delivery at the ‘front door’. The questionnaire was open for completion between February and July 2019. Of the 28 Scottish hospitals which receive acute admissions, we received information from 26 (92.9% response rate). Reporting sites included seven hospitals from remote and rural locations in the Scottish Highlands and Islands. Significant variations were observed across participating sites for all key aspects studied: dedicated frailty units, routes of admission, staffing, liaison with other services and rehabilitation provision. The 2019 SCoOP CGA audit highlights areas of CGA services that could be improved and variation in specialist CGA service access, structure and staffing at the front door across Scotland. Whether this variation has an impact on the outcomes of older people requires further evaluation. Full article
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Article
Cost-Effectiveness of Upper Extremity Dry Needling in Chronic Stroke
Healthcare 2022, 10(1), 160; https://doi.org/10.3390/healthcare10010160 - 14 Jan 2022
Viewed by 554
Abstract
Introduction: Dry needling is a non-pharmacological approach that has proven to be effective in different neurological conditions. Objective: The aim of this study was to evaluate the cost-effectiveness of a single dry needling session in patients with chronic stroke. Methods: A cost-effectiveness analysis [...] Read more.
Introduction: Dry needling is a non-pharmacological approach that has proven to be effective in different neurological conditions. Objective: The aim of this study was to evaluate the cost-effectiveness of a single dry needling session in patients with chronic stroke. Methods: A cost-effectiveness analysis was performed based on a randomized controlled clinical trial. The results obtained from the values of the EuroQol-5D questionnaire and the Modified Modified Ashworth Scale were processed in order to obtain the percentage of treatment responders and the quality-adjusted life years (QALYs) for each alternative. The cost analysis was that of the hospital, clinic, or health center, including the equipment and physiotherapist. The cost per respondent and the incremental cost-effectiveness ratio of each alternative were assessed. Results: Twenty-three patients with stroke were selected. The cost of DN treatment was EUR 14.96, and the data analysis showed a favorable cost-effectiveness ratio of both EUR/QALY and EUR/responder for IG, although the sensitivity analysis using limit values did not confirm the dominance (higher effectiveness with less cost) of the dry needling over the sham dry needling. Conclusions: Dry needling is an affordable alternative with good results in the cost-effectiveness analysis—both immediately, and after two weeks of treatment—compared to sham dry needling in persons with chronic stroke. Full article
(This article belongs to the Special Issue Neurorehabilitation: Looking Back and Moving Forward)
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Perspective
Information Security in Medical Robotics: A Survey on the Level of Training, Awareness and Use of the Physiotherapist
Healthcare 2022, 10(1), 159; https://doi.org/10.3390/healthcare10010159 - 14 Jan 2022
Viewed by 469
Abstract
Cybersecurity is becoming an increasingly important aspect to investigate for the adoption and use of care robots, in term of both patients’ safety, and the availability, integrity and privacy of their data. This study focuses on opinions about cybersecurity relevance and related skills [...] Read more.
Cybersecurity is becoming an increasingly important aspect to investigate for the adoption and use of care robots, in term of both patients’ safety, and the availability, integrity and privacy of their data. This study focuses on opinions about cybersecurity relevance and related skills for physiotherapists involved in rehabilitation and assistance thanks to the aid of robotics. The goal was to investigate the awareness among insiders about some facets of cybersecurity concerning human–robot interactions. We designed an electronic questionnaire and submitted it to a relevant sample of physiotherapists. The questionnaire allowed us to collect data related to: (i) use of robots and its relationship with cybersecurity in the context of physiotherapy; (ii) training in cybersecurity and robotics for the insiders; (iii) insiders’ self-assessment on cybersecurity and robotics in some usage scenarios, and (iv) their experiences of cyber-attacks in this area and proposals for improvement. Besides contributing some specific statistics, the study highlights the importance of both acculturation processes in this field and monitoring initiatives based on surveys. The study exposes direct suggestions for continuation of these types of investigations in the context of scientific societies operating in the rehabilitation and assistance robotics. The study also shows the need to stimulate similar initiatives in other sectors of medical robotics (robotic surgery, care and socially assistive robots, rehabilitation systems, training for health and care workers) involving insiders. Full article
(This article belongs to the Special Issue Rehabilitation and Robotics: Are They Working Well Together?)
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Case Report
Giant Sternal Chondrosarcoma in a 50-Year-Old Patient
Healthcare 2022, 10(1), 158; https://doi.org/10.3390/healthcare10010158 - 14 Jan 2022
Viewed by 325
Abstract
Chondrosarcomas represent approximately 20% of primary malignant bone cancers, being known as the most frequent neoplasia of the anterior thoracic wall. In our case, we present a case of a primary sternal chondrosarcoma in a 50-year-old female patient that has been polychemiotherapy and [...] Read more.
Chondrosarcomas represent approximately 20% of primary malignant bone cancers, being known as the most frequent neoplasia of the anterior thoracic wall. In our case, we present a case of a primary sternal chondrosarcoma in a 50-year-old female patient that has been polychemiotherapy and radiotherapy treated for breast cancer. Despite the initial treated malignancy of breast cancer in the personal pathologic history of the patient, it was discovered that the sternal tumor was not a metastatic disease from the breast neoplasm. After multiple investigations, the patient was successfully treated for the sternal chondrosarcoma after a radical sternal resection with a chest wall reconstruction completed with two titanium plates that were anchored on the ribs and with the placement of methyl methacrylate mesh. Full article
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Article
The Prevalence, Management and Impact of Dysmenorrhea on Medical Students’ Lives—A Multicenter Study
Healthcare 2022, 10(1), 157; https://doi.org/10.3390/healthcare10010157 - 14 Jan 2022
Cited by 1 | Viewed by 397
Abstract
Introduction: Dysmenorrhea is defined as the presence of painful menstruation, and it affects daily activities in different ways. The aims of this study were to assess the prevalence and management of dysmenorrhea and to determine the impact of dysmenorrhea on the quality of [...] Read more.
Introduction: Dysmenorrhea is defined as the presence of painful menstruation, and it affects daily activities in different ways. The aims of this study were to assess the prevalence and management of dysmenorrhea and to determine the impact of dysmenorrhea on the quality of life of medical students. Material and methods: The study conducted was prospective, analytical and observational and was performed between 7 November 2019 and 30 January 2020 in five university centers from Romania. The data was collected using an original questionnaire regarding menstrual cycles and dysmenorrhea. The information about relationships with family or friends, couples’ relationships and university activity helped to assess the effects of dysmenorrhea on quality of life. The level of significance was set at p < 0.05. Results: The study comprised 1720 students in total. The prevalence of dysmenorrhea was 78.4%. During their menstrual period, most female students felt more agitated or nervous (72.7%), more tired (66.9%), as if they had less energy for daily activities (75.9%) and highly stressed (57.9%), with a normal diet being difficult to achieve (30.0%). University courses (49.4%), social life (34.5%), couples’ relationships (29.6%), as well as relationships with family (21.4%) and friends (15.4%) were also affected, depending on the duration and intensity of the pain. Conclusion: Dysmenorrhea has a high prevalence among medical students and could affect the quality of life of students in several ways. During their menstrual period, most female students feel as if they have less energy for daily activities and exhibit a higher level of stress. The intensity of the symptoms varies considerably and, with it, the degree of discomfort it creates. Most student use both pharmacological and non-pharmacological methods to reduce pain (75.7%). University courses, social life, couples’ relationships, as well as relationships with family and friends are affected, depending on the duration and intensity of the pain. Full article
Article
Super-Spreaders or Victims of Circumstance? Childhood in Canadian Media Reporting of the COVID-19 Pandemic: A Critical Content Analysis
Healthcare 2022, 10(1), 156; https://doi.org/10.3390/healthcare10010156 - 14 Jan 2022
Viewed by 547
Abstract
This qualitative research study, a critical content analysis, explores Canadian media reporting of childhood in Canada during the COVID-19 global pandemic. Popular media plays an important role in representing and perpetuating the dominant social discourse in highly literate societies. In Canadian media, the [...] Read more.
This qualitative research study, a critical content analysis, explores Canadian media reporting of childhood in Canada during the COVID-19 global pandemic. Popular media plays an important role in representing and perpetuating the dominant social discourse in highly literate societies. In Canadian media, the effects of the pandemic on children and adolescents’ health and wellbeing are overshadowed by discussions of the potential risk they pose to adults. The results of this empirical research highlight how young people in Canada have been uniquely impacted by the COVID-19 global pandemic. Two dominant narratives emerged from the data: children were presented “as a risk” to vulnerable persons and older adults and “at risk” of adverse health outcomes from contracting COVID-19 and from pandemic lockdown restrictions. This reflects how childhood was constructed in Canadian society during the pandemic, particularly how children’s experiences are described in relation to adults. Throughout the pandemic, media reports emphasized the role of young people’s compliance with public health measures to prevent the spread of COVID-19 and save the lives of older persons. Full article
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Article
Artificial Intelligence Analysis of Gene Expression Predicted the Overall Survival of Mantle Cell Lymphoma and a Large Pan-Cancer Series
Healthcare 2022, 10(1), 155; https://doi.org/10.3390/healthcare10010155 - 14 Jan 2022
Cited by 3 | Viewed by 868
Abstract
Mantle cell lymphoma (MCL) is a subtype of mature B-cell non-Hodgkin lymphoma characterized by a poor prognosis. First, we analyzed a series of 123 cases (GSE93291). An algorithm using multilayer perceptron artificial neural network, radial basis function, gene set enrichment analysis (GSEA), and [...] Read more.
Mantle cell lymphoma (MCL) is a subtype of mature B-cell non-Hodgkin lymphoma characterized by a poor prognosis. First, we analyzed a series of 123 cases (GSE93291). An algorithm using multilayer perceptron artificial neural network, radial basis function, gene set enrichment analysis (GSEA), and conventional statistics, correlated 20,862 genes with 28 MCL prognostic genes for dimensionality reduction, to predict the patients’ overall survival and highlight new markers. As a result, 58 genes predicted survival with high accuracy (area under the curve = 0.9). Further reduction identified 10 genes: KIF18A, YBX3, PEMT, GCNA, and POGLUT3 that associated with a poor survival; and SELENOP, AMOTL2, IGFBP7, KCTD12, and ADGRG2 with a favorable survival. Correlation with the proliferation index (Ki67) was also made. Interestingly, these genes, which were related to cell cycle, apoptosis, and metabolism, also predicted the survival of diffuse large B-cell lymphoma (GSE10846, n = 414), and a pan-cancer series of The Cancer Genome Atlas (TCGA, n = 7289), which included the most relevant cancers (lung, breast, colorectal, prostate, stomach, liver, etcetera). Secondly, survival was predicted using 10 oncology panels (transcriptome, cancer progression and pathways, metabolic pathways, immuno-oncology, and host response), and TYMS was highlighted. Finally, using machine learning, C5 tree and Bayesian network had the highest accuracy for prediction and correlation with the LLMPP MCL35 proliferation assay and RGS1 was made. In conclusion, artificial intelligence analysis predicted the overall survival of MCL with high accuracy, and highlighted genes that predicted the survival of a large pan-cancer series. Full article
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Review
Artificial Intelligence Advances in the World of Cardiovascular Imaging
Healthcare 2022, 10(1), 154; https://doi.org/10.3390/healthcare10010154 - 14 Jan 2022
Cited by 2 | Viewed by 771
Abstract
The tremendous advances in digital information and communication technology have entered everything from our daily lives to the most intricate aspects of medical and surgical care. These advances are seen in electronic and mobile health and allow many new applications to further improve [...] Read more.
The tremendous advances in digital information and communication technology have entered everything from our daily lives to the most intricate aspects of medical and surgical care. These advances are seen in electronic and mobile health and allow many new applications to further improve and make the diagnoses of patient diseases and conditions more precise. In the area of digital radiology with respect to diagnostics, the use of advanced imaging tools and techniques is now at the center of evaluation and treatment. Digital acquisition and analysis are central to diagnostic capabilities, especially in the field of cardiovascular imaging. Furthermore, the introduction of artificial intelligence (AI) into the world of digital cardiovascular imaging greatly broadens the capabilities of the field both with respect to advancement as well as with respect to complete and accurate diagnosis of cardiovascular conditions. The application of AI in recognition, diagnostics, protocol automation, and quality control for the analysis of cardiovascular imaging modalities such as echocardiography, nuclear cardiac imaging, cardiovascular computed tomography, cardiovascular magnetic resonance imaging, and other imaging, is a major advance that is improving rapidly and continuously. We document the innovations in the field of cardiovascular imaging that have been brought about by the acceptance and implementation of AI in relation to healthcare professionals and patients in the cardiovascular field. Full article
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Article
The Artificial Intelligence in Digital Radiology: Part 2: Towards an Investigation of acceptance and consensus on the Insiders
Healthcare 2022, 10(1), 153; https://doi.org/10.3390/healthcare10010153 - 14 Jan 2022
Cited by 3 | Viewed by 370
Abstract
Background. The study deals with the introduction of the artificial intelligence in digital radiology. There is a growing interest in this area of scientific research in acceptance and consensus studies involving both insiders and the public, based on surveys focused mainly on single [...] Read more.
Background. The study deals with the introduction of the artificial intelligence in digital radiology. There is a growing interest in this area of scientific research in acceptance and consensus studies involving both insiders and the public, based on surveys focused mainly on single professionals. Purpose. The goal of the study is to perform a contemporary investigation on the acceptance and the consensus of the three key professional figures approaching in this field of application: (1) Medical specialists in image diagnostics: the medical specialists (MS)s; (2) experts in physical imaging processes: the medical physicists (MP)s; (3) AI designers: specialists of applied sciences (SAS)s. Methods. Participants (MSs = 92: 48 males/44 females, averaged age 37.9; MPs = 91: 43 males/48 females, averaged age 36.1; SAS = 90: 47 males/43 females, averaged age 37.3) were properly recruited based on specific training. An electronic survey was designed and submitted to the participants with a wide range questions starting from the training and background up to the different applications of the AI and the environment of application. Results. The results show that generally, the three professionals show (a) a high degree of encouraging agreement on the introduction of AI both in imaging and in non-imaging applications using both standalone applications and/or mHealth/eHealth, and (b) a different consent on AI use depending on the training background. Conclusions. The study highlights the usefulness of focusing on both the three key professionals and the usefulness of the investigation schemes facing a wide range of issues. The study also suggests the importance of different methods of administration to improve the adhesion and the need to continue these investigations both with federated and specific initiatives. Full article
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Article
Aspects of Prevention of Urinary Tract Infections Associated with Urinary Bladder Catheterisation and Their Implementation in Nursing Practice
Healthcare 2022, 10(1), 152; https://doi.org/10.3390/healthcare10010152 - 13 Jan 2022
Viewed by 638
Abstract
In the case of the prevention of catheter-associated urinary tract infections (CAUTI) related to healthcare provision, high-quality and comprehensively provided nursing care is essential. Implementation of preventive strategies is based on recommended procedures, and the introduction of whole sets of measures has been [...] Read more.
In the case of the prevention of catheter-associated urinary tract infections (CAUTI) related to healthcare provision, high-quality and comprehensively provided nursing care is essential. Implementation of preventive strategies is based on recommended procedures, and the introduction of whole sets of measures has been shown to be effective. The objective of this research is to find out whether the providers of acute bed care have implemented the steps of CAUTI prevention, and specifically which measures leading to improved quality of care in the area of urinary infections are already in place. To determine this, we carried out quantitative research. Data were collected using a questionnaire-based investigation; we used two non-standardised and one standardised questionnaire, and the respondents were general nurses in management positions (n = 186). The results revealed that result-related CAUTI indicators are monitored by only one-third of the respondents, and records of catheterisation indication are not kept by 17.3% of general nurses. The results of the research showed deficiencies in the monitoring of CAUTI outcome and process indicators, and a weakness of the implemented preventive measures is the maintenance of catheterisation documentation. Periodic CAUTI prevention training is not implemented as recommended. It is positive that there are well-working teams of HAI prevention experts in hospitals. Full article
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Article
Assessment of Pregnant Women’s Satisfaction with Model of Care Initiative: Antenatal Care Service at Primary Health Care in Cluster One in Riyadh, Saudi Arabia
Healthcare 2022, 10(1), 151; https://doi.org/10.3390/healthcare10010151 - 13 Jan 2022
Viewed by 395
Abstract
The current study assessed pregnant women’s satisfaction with antenatal care (ANC) services at primary health care centers (PHCs) in Riyadh Cluster One. The study was conducted at 11 PHCs where the ANC initiative has been implemented. A total of 646 pregnant women were [...] Read more.
The current study assessed pregnant women’s satisfaction with antenatal care (ANC) services at primary health care centers (PHCs) in Riyadh Cluster One. The study was conducted at 11 PHCs where the ANC initiative has been implemented. A total of 646 pregnant women were enrolled. A questionnaire was completed by participants to measure the level of satisfaction with the provided services, care, and consultation. Subsequently, the data were analyzed to determine the significant differences and conduct regression analysis. The overall satisfaction with initial triage assessment, provided services, consultation, and examination was 93.7%, 87.8%, 71.8%, and 53.9%, respectively. Regarding ANC services, education was the only statistically significant variable that influenced patient satisfaction (p < 0.05). In contrast, satisfaction with the provided care was significantly related to all the variables studied. For consultation, education (p < 0.001) and monthly income (p < 0.05) were the statistically significant role players. In the regression analysis, secondary education was statistically significantly related to the provided services, consultation, and examination. Despite the satisfactory level of ANC at the selected PHCs, higher patient satisfaction could be achieved in the future by improving the consultation and examination practices. Overall satisfaction with the health care workers at PHCs is high. Incorporating implied ameliorations would enhance the quality of services and patient satisfaction. Full article
(This article belongs to the Special Issue Maternal, Fetal and Neonatal Health)
Case Report
A COVID-19 Patient with Simultaneous Renal Infarct, Splenic Infarct and Aortic Thrombosis during the Severe Disease
Healthcare 2022, 10(1), 150; https://doi.org/10.3390/healthcare10010150 - 13 Jan 2022
Viewed by 467
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been associated with a high incidence of arterial and venous thrombotic complications. However, thromboembolic events in unusual sites such as limb and visceral arterial ischemia are reported rarely in the literature. Herein, we describe [...] Read more.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been associated with a high incidence of arterial and venous thrombotic complications. However, thromboembolic events in unusual sites such as limb and visceral arterial ischemia are reported rarely in the literature. Herein, we describe a rare case of a patient with severe coronavirus disease 2019 (COVID-19) infection who experienced severe abdominal pain during the hospitalization and presented simultaneously renal artery, splenic artery and vein as well as aortic thrombi despite prophylactic antithrombotic treatment. Information about his follow-up post discharge is also provided. This case report raises significant clinical implications regarding the correct dose of antithrombotic treatment during the acute phase of the severe COVID-19 infection and highlights the need for incessant vigilance in order to detect thrombosis at unusual sites as a possible diagnosis when severe abdominal pain is present in severe COVID-19 patients. Full article
(This article belongs to the Topic Burden of COVID-19 in Different Countries)
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Article
An Explainable Machine Learning Approach for COVID-19’s Impact on Mood States of Children and Adolescents during the First Lockdown in Greece
Healthcare 2022, 10(1), 149; https://doi.org/10.3390/healthcare10010149 - 13 Jan 2022
Cited by 2 | Viewed by 674 | Correction
Abstract
The global spread of COVID-19 led the World Health Organization to declare a pandemic on 11 March 2020. To decelerate this spread, countries have taken strict measures that have affected the lifestyles and economies. Various studies have focused on the identification of COVID-19’s [...] Read more.
The global spread of COVID-19 led the World Health Organization to declare a pandemic on 11 March 2020. To decelerate this spread, countries have taken strict measures that have affected the lifestyles and economies. Various studies have focused on the identification of COVID-19’s impact on the mental health of children and adolescents via traditional statistical approaches. However, a machine learning methodology must be developed to explain the main factors that contribute to the changes in the mood state of children and adolescents during the first lockdown. Therefore, in this study an explainable machine learning pipeline is presented focusing on children and adolescents in Greece, where a strict lockdown was imposed. The target group consists of children and adolescents, recruited from children and adolescent mental health services, who present mental health problems diagnosed before the pandemic. The proposed methodology imposes: (i) data collection via questionnaires; (ii) a clustering process to identify the groups of subjects with amelioration, deterioration and stability to their mood state; (iii) a feature selection process to identify the most informative features that contribute to mood state prediction; (iv) a decision-making process based on an experimental evaluation among classifiers; (v) calibration of the best-performing model; and (vi) a post hoc interpretation of the features’ impact on the best-performing model. The results showed that a blend of heterogeneous features from almost all feature categories is necessary to increase our understanding regarding the effect of the COVID-19 pandemic on the mood state of children and adolescents. Full article
(This article belongs to the Topic Burden of COVID-19 in Different Countries)
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Project Report
An App about Healthy Habits as an Educational Resource during the Pandemic
Healthcare 2022, 10(1), 148; https://doi.org/10.3390/healthcare10010148 - 13 Jan 2022
Cited by 1 | Viewed by 473
Abstract
Educational institutions and their agents play a fundamental role in improving people’s health literacy and quality of life. We intend here to describe and justify an educational resource embodied in an application for mobile devices developed through a subsidized project by the Ministry [...] Read more.
Educational institutions and their agents play a fundamental role in improving people’s health literacy and quality of life. We intend here to describe and justify an educational resource embodied in an application for mobile devices developed through a subsidized project by the Ministry of Health (Government of Andalusia); the purpose of this app is to educate young people in healthy habits. The application was designed to be easily used in both smartphones and tablets with the aim of achieving good physical, psychological and social health. The project comprises several phases and the results we have so far show that, from an early age, health institutions and educational settings must work in partnership, increasing health literacy levels. This cooperative work combined with the use of this innovative approach presents an important potential for change in the lifestyles of younger generations. This type of intervention took on a special role in the pandemic context, allowing for the maintenance of the educational stimulus in a safe context. Full article
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