Search results

Cannabis use continues to increase worldwide, and a number of nation states are changing their cannabis policies. Policy changes require research into key populations, namely, people who use cannabis. This study aims to examine sociodemographic differences of young Finns who reported using cannabis mainly for self-medication versus mainly recreationally, as well as their reported effects of cannabis use.

The data come from an anonymous online survey (N = 247, 70.0% males, 25.9% females, 4.1% other) that was analysed using multiple logistic regression. The authors focused on whether various demographic indicators differed between those who reportedly used cannabis mainly for recreational purposes and mainly for self-medicinal purposes. The authors also qualitatively examined the respondents’ experienced effects of cannabis, both desired and undesired.

Being older and female, living in a smaller city and earlier age of initiation of cannabis use were statistically significant in predicting the medicinal use of cannabis. The majority of recreational effects were related to themes such as relaxation and pleasure, but many participants also reported desired medical effects. Similarly, many participants reported several undesired effects.

Understanding especially young people’s motivations to use cannabis, which include using it for various medical effects, can improve the design of harm reduction and treatment programmes as well as enhance the well-being of people who use cannabis.

This study gives a nuanced account of sociodemographic factors and motivations of young people who use cannabis in Finland as well as the reported effects it has on them, which complements data from national drug surveys.

The purpose of this research is to examine, from the self-efficacy standpoint, the factors that influence medical tourists' use of social media for travel planning. To that end, this study presents a conceptual framework for evaluating medical tourists' online behaviour and empirically tests the model's validity by examining various dimensions of self-efficacy.

A sample of 224 people who searched for medical tourism information online was used in this study. Partial least squares structural equation modelling (PLS-SEM) was employed to test the proposed model with data from an online questionnaire survey.

The findings suggest that sources of self-efficacy reinforce one's belief in the ability to use social media for medical travel planning purposes. According to the structural model analysis results, with the exception of social persuasion (SP), all of the proposed factors were significant sources of self-efficacy.

The findings can assist medical tourism providers in optimising online searches for medical travel information, as well as medical tourism destination marketers in directing the tourism providers' marketing efforts towards the use of social media to target potential medical tourists more efficiently and on a larger scale.

This study is being conducted in response to a significant knowledge gap in identifying the factors that influence medical tourists' online behaviour. This information can help medical tourism destination marketers gain a competitive advantage by using social media to target potential medical tourists more effectively and on a larger scale.

Disasters and pandemics pose challenges to health-care provision. Accordingly, the need for adopting innovative approach is required in providing care to patient. Therefore, the purpose of this study is to present telehealth as an innovative approach for providing care to patients and reducing spread of the infection and advocates for the adoption of telehealth for digitalized treatment of patients.

An integrative review methodology of existing evidence was conducted to provide implications for integration of telehealth for digitalized treatment of patients. This paper draws on Technology Organization Environment (TOE) framework to develop a model and propositions to investigate the factors that influence telehealth adoption from the perspective of the supply side and the demand side of medical services.

Findings from this study discuss applications adopted for telehealth and recommendations on how telehealth can be adopted for medical-care delivery. More importantly, the findings and propositions of this study can act as a roadmap to potential research opportunities within and beyond the pandemic. In addition, findings from this study help provide guidelines on how health practitioners can rapidly integrate telehealth into practice for public health emergencies.

This study identifies the social, technological and organizational factors that influence telehealth adoption, and opportunities of adopting telehealth during the public health emergencies. This study concludes that specific policy changes to improve integration of interoperable solutions; data security; better physical infrastructures; broadband access; better transition and workflow balance; availability of funding and remuneration; regulations and reimbursement; awareness; and training will improve telehealth adoption during public health emergencies.

The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to examine whether media richness (MR), human-system interaction (HSI) and human-human interaction (HHI) as technological feature antecedents to medical professionals’ learning engagement (LE) can affect their learning persistence (LP) in massive open online courses (MOOCs).

Sample data for this study were collected from medical professionals at six university-/medical university-affiliated hospitals in Taiwan. A total of 600 questionnaires were distributed, and 309 (51.5%) usable questionnaires were analyzed using structural equation modeling in this study.

This study certified that medical professionals’ perceived MR, HSI and HHI in MOOCs positively affected their emotional LE, cognitive LE and social LE elicited by MOOCs, which together explained their LP in MOOCs. The results support all proposed hypotheses and the research model accounts for 84.1% of the variance in medical professionals’ LP in MOOCs.

This study uses the S-O-R model as a theoretical base to construct medical professionals’ LP in MOOCs as a series of the psychological process, which is affected by MR and interaction (i.e. HSI and HHI). Noteworthily, three psychological constructs, emotional LE, cognitive LE and social LE, are adopted to represent medical professionals’ organisms of MOOCs adoption. To date, hedonic/utilitarian concepts are more commonly adopted as organisms in prior studies using the S-O-R model and psychological constructs have received lesser attention. Hence, this study enriches the S-O-R model into an invaluable context, and this study’s contribution on the application of capturing psychological constructs for completely explaining three types of technological features as external stimuli to medical professionals’ LP in MOOCs is well-documented.

Customers today expect businesses to cater to their individual needs by tailoring the products they purchase to their own preferences. The term “Industry 5.0” refers to a new wave of manufacturing that aims to meet each customer's unique demands. Even while Industry 4.0 allowed for mass customization, that wasn't good enough before, customers today demand individualized products at scale, and Industry 5.0 is driving the transition from mass customization to mass personalization to meet these demands. It caters to the individual needs of each consumer by meeting their demands. More specialized components for use in medicine are made possible by the widespread customization made possible by Industry 5.0. These individualized parts are included into the medical care of the patient to meet their specific needs and preferences. In the current medical revolution, an enabling technology of Industry 5.0 can produce medical implants, artificial organs, bodily fluids, and transplants with pinpoint accuracy. With the advent of AI-enabled sensors, we now live in a world where data can be swiftly analyzed. Machines may be programmed to make complex choices on the fly. In the medical field, these innovations allow for exact measurement and monitoring of human body variables according to the individual's needs. They aid in monitoring the body's response to training for peak performance. It allows for the digital dissemination of accurate healthcare data networks. In order to collect and exchange relevant patient data, every equipment is online.

Illicit drug use is a well-known global problem that has been noticed to be increased significantly among medical students. This study aims to assess the prevalence and consequences of illicit drug use among medical students in the country of Jordan using the validated Drug Abuse Screening Test-10 (DAST-10).

The authors used a cross-sectional, descriptive design to conduct this study. A total of 2,104 participants from six medical schools were included. A structured online-based English self-administered questionnaire was used for data collection.

Out of 2,104 included participants, 242 (11.5%) reported using illicit drugs in the past year. More than three-quarters (77%) of the drug users suffer from various degrees of problems related to drug use, ranging from risky (41%) to severe risk (6%). Drug use was found to be associated with gender, planned specialty and exposure to psychiatry training.

The cross-sectional design prevents from drawing cause-and-effect relationships and confirming how the tendency toward substance use is affected by the psychological state, sleep quality and exposure to psychiatry. Also, although it is important to measure the subjective observation of distress and sleep, objective estimates of psychological distress and sleep including actigraphy and sleep diary could be helpful to strengthen the findings. Also using an online survey with convenience sampling are some inevitable limitations with the present COVID-19 restrictions. Also, the nature of DAST-10 closed-ended questions precluded from accurately exploring the consequences of substance abuse.

Appropriate screening to identify medical students at risk for substance abuse and provide them with treatment referrals are strongly recommended in this study. In addition, medical schools should provide a comfortable environment that encourages a healthy lifestyle with a responsible attitude toward using drugs.

There is a dearth of information about illicit drug use among medical students, especially in the country of Jordan. The nature of their studies, the different stresses they experience and the impact imposed by other factors such as sociocultural all are likely to make medical students more susceptible to drug abuse. To the best of the authors’ knowledge, this is the first cross-national study of its kind in Jordan with a representative sample of 2,104 participants. We assessed the prevalence and consequences of self-reported illicit drug use and the sleep quality of medical students from all schools of medicine in Jordan.

This study aims to explore the dynamics involved in the non-medical use of tramadol among manual labourers in Nigeria.

Using the phenomenological approach, we conducted in-depth interviews with forty (40) manual labourers (age: 19–36 years). These participants were selected through purposive and snowball sampling techniques from two cities in Anambra state, Nigeria, and the data was analysed with thematic analysis.

The results revealed that most of the participants were introduced to tramadol use by their friends. They used tramadol for pain relief, euphoric feeling, energy for work and sexual performance. Unfortunately, most of them may have gradually become dependent on this drug to function well in life without knowing the possible medical and psychological implications.

The sample choice may limit the generalization of the findings; however, the study indicates a need to improve working condition, access to healthcare and awareness of the negative effects of non-medical use of tramadol.

Non-medical use of tramadol may have started as an attempt to help self in performing the daily routine. This action can jeopardize an individual’s mental health and, at the extreme state, hinder performance of daily routine. Friends and the quality of information they provide play a significant role in the onset of this action. The strong point is that many people who are involved in the non-medical use of tramadol are unaware of the possible risks. Improving working conditions and access to healthcare for chronic pain could help reduce these risks.

Medical diagnosis and treatment processes exhibit a high degree of variability, as during the process execution, healthcare professionals can decide on additional steps, change the execution order or skip a task. Process models can help to document and to discuss such processes. However, depicting variability in graphical process models using standardized languages, such as Business Process Model and Notation (BPMN), can lead to large and complicated diagrams that medical staff who do not have formal training in modeling languages have difficulty understanding. This study proposes a pattern-based process visualization that medical doctors can understand without extensive training. The process descriptions using this pattern-based visualization can later be transformed into formal business process models in languages such as BPMN.

The authors derived patterns for expressing variability in healthcare processes from the literature and medical guidelines. Then, the authors evaluated and revised these patterns based on interviews with physicians in a Danish hospital.

A set of business process variability patterns was proposed to express situations with variability in hospital treatment and diagnosis processes. The interviewed medical doctors could translate the patterns into their daily work practice, and the patterns were used to model a hospital process.

When communicating with medical personnel, the patterns can be used as building blocks for documenting and discussing variable processes.

The patterns can reduce complexity in process visualization. This study provides the first validation of these patterns in a hospital.

Infection and cross-contamination have been massive concerns in the medical field. This study aims to investigate consumers’ awareness and their choices of endoscopes, which may deter them from the cross-contamination problem.

A discrete choice experiment survey was administered to 166 respondents in Penang, Malaysia. Participants were asked to make hypothetical choices and estimate their preference for endoscopes. The multinomial logit model was used to estimate the assumptions based on the stated preference data collected.

Only two-fifths of respondents are aware of their rights regarding endoscope selection. The findings are consistent with utility theory, where choices are made to maximise personal satisfaction. If given the choice, consumers preferred the single-use endoscope over the reusable or the doctor’s preferred endoscope. Price, insurance coverage and personal income are significant determinants of the consumer’s choice of endoscopes.

This study only investigates subjects living in Penang. Other possible important attributes to endoscope choices, such as environmental and device availability may be considered in future study.

The findings may create awareness among consumers about their rights when choosing medical devices. It may also improve health-care institutions’ (users’) and device manufacturers’ (industry players’) understanding of consumer needs and demands from socioeconomic perspectives.

The research offers insights into consumer rights and awareness of health-care services. Ultimately leading to better policy to protect consumers’ rights and safety.

This study contributes to the rare literature on consumer rights toward medical devices, in particular, the consumer’s awareness of the choice of endoscopes.

The changing clinical landscape in psychiatry, both before and after the pandemic, has impacted students’ direct contact with psychiatric patients. It is imperative, therefore, that medical education keeps pace with evolving clinical pathways to ensure that clinicians are always appropriately trained not just for common presentations but also for low-prevalence, high-risk situations. Simulated-based training is well established. However, it is not without its limitations, many of which could be overcome with the use of virtual simulation. This study aims to analyse the use of virtual simulation within medical education to train clinicians in psychiatric assessments.

A scoping review was undertaken with a comprehensive literature search of the six most relevant online peer-reviewed databases, including PubMed, PsycINFO, CINAHL, Medline, EMBASE and Cochrane. All published papers in English that discussed simulation in teaching psychiatric assessments were included.

Virtual patients can be used for educational, diagnostic and therapy purposes attributable to advances in speech-recognition technology. Virtual simulations are well received and positively affect clinicians’ knowledge and skill development. Educational faculties should consider using virtual simulation technologies to improve learning outcomes. Further studies should enhance the fidelity and quality of virtual assessment simulation situations, mainly focusing on the virtual patient’s empathy, gesturing and body language to enable this evidence-based tool to be used effectively and efficiently for the benefit of future patient care.

The changing clinical landscape in psychiatry, both before and after the pandemic, has impacted students’ direct contact with psychiatric patients. This scoping review has reviewed the use of virtual simulation-based education to train clinicians for psychiatric assessments. To the best of the authors’ knowledge, this work has not been conducted before.