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Awareness and Practices towards Vaccinating Their Children against COVID-19: A Cross-Sectional Study among Pakistani Parents

Harmain ZU, Alkubaisi NA, Hasnain M, Salman M, Baraka MA, Mustafa ZU, et al.

Healthcare (Basel), 2023 Aug 23;11(17).
PMID: 37685412 DOI: 10.3390/healthcare11172378

There are typically lower COVID-19 vaccination rates among developing versus higher-income countries, which is exacerbated by greater vaccine hesitancy. However, despite the increasing evidence of safety, parents are still reluctant to vaccinate their children against COVID-19. This is a concern in countries experiencing successive waves, such as Pakistan. Consequently, the objective of this study was to gain better understanding and practice regarding parents vaccinating their children against COVID-19 in Pakistan. A cross-sectional study was conducted to measure parents' attitudes towards vaccinating their children. In total, 451 parents participated in the study, giving a response rate of 70.4%; 67.4% were female, 43.2% belonged to the 40-49 years age group, and 47.7% had three children, with 73% of parents fully immunized against COVID-19. We found that 84.7% of parents did not consider COVID-19 to be a very serious issue, and 53.9% considered that their children were not at high risk of COVID-19. Overall, only a quarter of the study participants had currently vaccinated their children and 11.8% were willing to vaccinate their children in the near future. Parents who had a better knowledge of COVID-19, secondary or higher education, children who had chronic illness, and those parents whose children had been infected with COVID-19 were more likely to have their children vaccinated. The most common reasons for vaccine hesitancy were "my child is not at high risk of COVID-19" (61%) and "I am afraid to put/inject a foreign object inside my child's body" (52.2%). Overall, vaccine acceptance was low among the parents of the children. Those parents with higher education, chronic illnesses, greater knowledge of COVID-19 and its vaccines, and those whose children had been infected with COVID-19 were significantly (p < 0.001) inclined towards vaccinating their children. Effective campaigns as well as awareness sessions are needed to address misinformation and reduce vaccine hesitancy.
Fulltext A Fusion-Based Machine Learning Approach for the Prediction of the Onset of Diabetes

Nadeem MW, Goh HG, Ponnusamy V, Andonovic I, Khan MA, Hussain M

Healthcare (Basel), 2021 Oct 18;9(10).
PMID: 34683073 DOI: 10.3390/healthcare9101393

A growing portfolio of research has been reported on the use of machine learning-based architectures and models in the domain of healthcare. The development of data-driven applications and services for the diagnosis and classification of key illness conditions is challenging owing to issues of low volume, low-quality contextual data for the training, and validation of algorithms, which, in turn, compromises the accuracy of the resultant models. Here, a fusion machine learning approach is presented reporting an improvement in the accuracy of the identification of diabetes and the prediction of the onset of critical events for patients with diabetes (PwD). Globally, the cost of treating diabetes, a prevalent chronic illness condition characterized by high levels of sugar in the bloodstream over long periods, is placing severe demands on health providers and the proposed solution has the potential to support an increase in the rates of survival of PwD through informing on the optimum treatment on an individual patient basis. At the core of the proposed architecture is a fusion of machine learning classifiers (Support Vector Machine and Artificial Neural Network). Results indicate a classification accuracy of 94.67%, exceeding the performance of reported machine learning models for diabetes by ~1.8% over the best reported to date.
Fulltext Early Spatiotemporal Patterns and Population Characteristics of the COVID-19 Pandemic in Southeast Asia

Zhu M, Kleepbua J, Guan Z, Chew SP, Tan JW, Shen J, et al.

Healthcare (Basel), 2021 Sep 16;9(9).
PMID: 34574997 DOI: 10.3390/healthcare9091220

This observational study aims to investigate the early disease patterns of coronavirus disease 2019 (COVID-19) in Southeast Asia, consequently providing historical experience for further interventions. Data were extracted from official websites of the WHO and health authorities of relevant countries. A total of 1346 confirmed cases of COVID-19, with 217 recoveries and 18 deaths, were reported in Southeast Asia as of 16 March 2020. The basic reproductive number (R0) of COVID-19 in the region was estimated as 2.51 (95% CI:2.31 to 2.73), and there were significant geographical variations at the subregional level. Early transmission dynamics were examined with an exponential regression model: y = 0.30e0.13x (p < 0.01, R2 = 0.96), which could help predict short-term incidence. Country-level disease burden was positively correlated with Human Development Index (r = 0.86, p < 0.01). A potential early shift in spatial diffusion patterns and a spatiotemporal cluster occurring in Malaysia and Singapore were detected. Demographic analyses of 925 confirmed cases indicated a median age of 44 years and a sex ratio (male/female) of 1.25. Age may play a significant role in both susceptibilities and outcomes. The COVID-19 situation in Southeast Asia is challenging and unevenly geographically distributed. Hence, enhanced real-time surveillance and more efficient resource allocation are urgently needed.
Fulltext Comparison of Mean Glandular Dose between Full-Field Digital Mammography and Digital Breast Tomosynthesis

Teoh KC, Manan HA, Mohd Norsuddin N, Rizuana IH

Healthcare (Basel), 2021 Dec 19;9(12).
PMID: 34946484 DOI: 10.3390/healthcare9121758

Early detection of breast cancer is diagnosed using mammography, the gold standard in breast screening. However, its increased use also provokes radiation-induced breast malignancy. Thus, monitoring and regulating the mean glandular dose (MGD) is essential. The purpose of this study was to determine MGD for full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) in the radiology department of a single centre. We also analysed the exposure factors as a function of breast thickness. A total of 436 patients underwent both FFDM and DBT. MGD was auto calculated by the mammographic machine for each projection. Patients' data included compressed breast thickness (CBT), peak kilovoltage (kVp), milliampere-seconds (mAs) and MGD (mGy). Result analysis showed that there is a significant difference in MGD between the two systems, namely FFDM and DBT. However, the MGD values in our centre were comparable to other centres, as well as the European guideline (<2.5 mGy) for a standard breast. Although DBT improves the clinical outcome and quality of diagnosis, the risk of radiation-induced carcinogenesis should not be neglected. Regular quality control testing on mammography equipment must be performed for dose monitoring in women following a screening mammography in the future.
Fulltext The Role of Neural Network for the Detection of Parkinson's Disease: A Scoping Review

Alzubaidi MS, Shah U, Dhia Zubaydi H, Dolaat K, Abd-Alrazaq AA, Ahmed A, et al.

Healthcare (Basel), 2021 Jun 16;9(6).
PMID: 34208654 DOI: 10.3390/healthcare9060740

Background: Parkinson's Disease (PD) is a chronic neurodegenerative disorder that has been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to combat against PD to allow patients to deal with it properly. However, there is no medical test(s) available to diagnose PD conclusively. Therefore, computer-aided diagnosis (CAD) systems offered a better solution to make the necessary data-driven decisions and assist the physician. Numerous studies were conducted to propose CAD to diagnose PD in the early stages. No comprehensive reviews have been conducted to summarize the role of AI tools to combat PD. Objective: The study aimed to explore and summarize the applications of neural networks to diagnose PD. Methods: PRISMA Extension for Scoping Reviews (PRISMA-ScR) was followed to conduct this scoping review. To identify the relevant studies, both medical databases (e.g., PubMed) and technical databases (IEEE) were searched. Three reviewers carried out the study selection and extracted the data from the included studies independently. Then, the narrative approach was adopted to synthesis the extracted data. Results: Out of 1061 studies, 91 studies satisfied the eligibility criteria in this review. About half of the included studies have implemented artificial neural networks to diagnose PD. Numerous studies included focused on the freezing of gait (FoG). Biomedical voice and signal datasets were the most commonly used data types to develop and validate these models. However, MRI- and CT-scan images were also utilized in the included studies. Conclusion: Neural networks play an integral and substantial role in combating PD. Many possible applications of neural networks were identified in this review, however, most of them are limited up to research purposes.
Fulltext Regional Anesthetic and Analgesic Techniques for Clavicle Fractures and Clavicle Surgeries: Part 1-A Scoping Review

Lee CCM, Beh ZY, Lua CB, Peng K, Fathil SM, Hou JD, et al.

Healthcare (Basel), 2022 Aug 07;10(8).
PMID: 36011144 DOI: 10.3390/healthcare10081487

Objective. Clavicle fractures are common injuries potentially associated with significant perioperative pain. However, this region's complex sensory innervation poses a challenge for regional anesthetic or analgesic (RA) techniques. We conducted this scoping review to summarize the current literature, particularly with regards to motor-sparing techniques. Methods. A scoping review was carried out in accordance with the Joanna Briggs Institute's framework. All articles describing the use of RA for clavicle fractures or surgery were included. PubMed®, Ovid MEDLINE®, EMBASE®, Scopus®, CINAHL®, and the Cochrane database were searched without language restrictions. Results. Database searches identified 845 articles, 44 of which were included in this review, with a combined patient total of 3161. We included all peer-reviewed publications containing clinical data and summarized the findings. Conclusions. Current evidence of RA techniques in clavicle surgery is heterogeneous, with different approaches used to overcome the overlapping sensory innervation. The literature largely comprises case reports/series, with several randomized controlled trials. Intermediate cervical plexus block is the regional technique of choice for clavicle surgery, and can provide reliable surgical anesthesia when combined with an interscalene block. Cervical plexus block can provide motor-sparing analgesia following clavicle surgery. Promising alternatives include the clavipectoral block, which is a novel motor-sparing regional technique. Further studies are required to determine the efficacy and safety of various techniques.
Fulltext Evaluation of Social Media Addiction and Its Relationship with Anxiety and Academic Performance Among Medical and Non-Medical Students: A Cross-Sectional Study from Saudi Arabia

Abdulsalim S, Anaam MS, Farooqui M, Alshammari MS, Alfadly S, Alolayan J, et al.

Healthcare (Basel), 2025 Jan 31;13(3).
PMID: 39942484 DOI: 10.3390/healthcare13030295

BACKGROUND: Social media (SM) use has become an integral aspect of daily life. Overutilization of SM can adversely impact an individual's physical and emotional well-being, especially that of students. This study evaluated the potential impact of SM addiction on anxiety and academic performance among university students.
METHODS: A cross-sectional study was conducted among medical ad non-medical students at Qassim University during September 2022-April 2023 after obtaining the Ethics Committee's permission. Raosoft was used for calculating the sample size, and participants were selected through convenience sampling. Both descriptive and inferential statistics were used to analyze and interpret the results, using SPSS version 25.
RESULTS: A total of 269 students participated in the study. The majority of them were male (52%), with a mean age of 22.28. The main purpose of SM usage was entertainment, followed by communication. More than 30% of them were using SM for 4-6 h per day, accessing SM 1-10 times in a day, with more than half of them feeling that they had SM addiction and that it was affecting their daily activities and sleep. The majority of them agreed that SM can be used for group discussion (78.1% vs. 71.6%) and knowledge sharing (93.7% vs. 90%). However, a statistically significant difference was observed about anxiety level between the two groups. A negative correlation was found between cumulative grade point average (CGPA) and anxiety level.
CONCLUSION: The findings suggest that SM has both positive and negative effects on academic performance and social anxiety. Continuous education and motivation about wise use of SM is warranted among students by parents, university authorities, and policymakers.