Cheer

OBJECTIVES: This study primarily aimed to develop a validated Dutch translation of the 28 items of the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) II. A secondary aim was to provide a worked example of a scientifically valid translation process. METHODS: A four-step process was applied: (01) forward translation, (02) backward translation, (03) quantitative validation (two back-translated English versions vs. original English version), and (04) qualitative validation (one Dutch version vs...

BACKGROUND: Multiple sclerosis (MS) is a chronic, autoimmune, and inflammatory disease. The economic burden of MS is substantial, and the high cost of Disease-modifying drugs (DMDs) prices are the main drivers of healthcare expenditures. We conducted a systematic review of studies evaluating the cost-utility and cost-effectiveness of DMDs for relapsing-remitting multiple sclerosis (RRMS). MATERIALS AND METHOD: Searches were conducted in PubMed, Web of Science, Scopus, and Embase...

BACKGROUND: Up to 30% of children have constipation at some stage in their life. Although often short-lived, in one-third of children it progresses to chronic functional constipation, potentially with overflow incontinence. Optimal management strategies remain unclear. OBJECTIVE: To determine the most effective interventions, and combinations and sequences of interventions, for childhood chronic functional constipation, and understand how they can best be implemented...

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BACKGROUND: Interest in non-pharmacological/non-surgical interventions to treat Parkinson's disease (PD) has substantially increased. Although a few health-economic studies have been conducted, summary information on the cost-effectiveness is still scarce. OBJECTIVE: To give an overview of cost-effectiveness analyses (CEA) focusing on non-pharmacological/non-surgical interventions in PD patients. METHODS: A systematic literature search was conducted in five databases...

BACKGROUND AND AIMS: Coronavirus has burdened considerable expenditures on the different health systems. Vaccination programs, the critical solution against pandemic diseases, are known as safe and effective interventions to prevent and control epidemics. We aimed to perform a systematic review to provide economic evidence of the value of different types of vaccines available to combat the Covid-19 to all health policymakers worldwide. METHODS: Electronic searches conducted on Medline/PubMed, Cochrane Library, Web of Science, Scopus, Embase, and other economic evaluation databases...

BACKGROUND: Rest-activity rhythm (RAR) is a modifiable behavioral factor associated with affect and cognition. Identifying RAR characteristics associated with affect and cognition among stroke survivors provides insight into preventing poststroke affective and cognitive impairment. OBJECTIVE: To examine the associations of RAR characteristics with affect and cognition among community-dwelling stroke survivors. METHODS: Forty participants with mild stroke (mean age = 52...

Background: The economic impact of Complex Regional Pain Syndrome (CRPS) on both patients and the global healthcare system continues to escalate. However, the economic implications associated with management interventions for CRPS have received limited attention. Therefore, our objective is to perform a thorough examination of published economic assessments of the various management strategies utilized for CRPS. Methods: A thorough search spanning four general medical databases and three health economic databases to identify full economic evaluations on CRPS management strategies from January 1994 to June 2023 were conducted...

This paper discusses the popularity of live streaming video games and its potential to address psychological challenges, especially during the COVID-19 pandemic. An audience participation game (APG) that involve massive audiences in gameplay, blurring the lines between viewers and players, is introduced. The game highlights the dynamic adjustment of AI character strengths based on audience inputs, specifically cheering and jeering. The study examines factors that influence user experience (UX) and activeness in APG...

Non-drinkers report experiencing stigma, which can act as a barrier to non-drinking. Two studies were undertaken to develop and test a new scale to measure attitudes towards non-drinkers. In Study 1, 29 items were presented to 426 Australian drinkers. In Study 2, the refined 12-item Cheers Attitudes to Non-drinkers Scale (CANS) was presented to 389 drinkers. Alcohol consumption, Harm and the Regan Attitudes towards Non-drinkers Scale (RANDS) were presented for scale validation. Exploratory factor analysis revealed three factors representing the Threats to Fun, Connection and Self that drinkers perceive non-drinkers to pose...

Objective: To explore perspectives and experiences of adolescent ballet dancers in Australia in relation to dance-related injuries and their impact, injury risk factors, prevention, and treatment. Design: Adolescent ballet dancers aged from 12 to 19 years in Australia were invited to participate in an online qualitative survey. Methods: Responses to open-ended questions were analyzed thematically using grounded theory while quantitative information was summarized with descriptive statistics and triangulated with qualitative data...

Differentiating major depressive episodes (MDEs) of major depressive disorder (MDD), bipolar disorder (MDE/BD) and the MDEs comorbid with borderline personality disorder (MDE/BPD) is crucial for appropriate treatment, and knowledge of phenomenological differences may aid this. However, studies comparing affect experiences of these three patient groups and healthy subjects are scarce. In our study, participants (N = 114), including patients with MDD (n = 34), MDE/BD (n = 27), and MDE/BPD (n = 24), and healthy controls (HC, n = 29) responded to ecological momentary assessment (EMA) with ten circumplex model affect items ten times daily for seven days (7709 recordings)...

OBJECTIVES: Assessment of autism-related behaviours (ARBs) in children has generally been limited to direct observations in clinical settings or informant-based reports. The widespread availability of video-streaming devices has made home observations of children's ARBs feasible. This approach could enable assessment of the generalization and durability of interventions and may be able to overcome methodological limitations of predominant current assessment approaches (response biases, limited sensitivity to treatment)...

BACKGROUND: There are several techniques for reconstructing breasts after mastectomy, but little scientific evidence for which technique is superior. The aim of this systematic review was to compare the cost-effectiveness of implant-based and autologous reconstruction and to evaluate the overall certainty of evidence, as well as the quality of reporting of the included studies. METHODS: Studies investigating the cost-effectiveness of breast reconstruction with a deep inferior epigastric perforator (DIEP) flap compared to implant-based reconstruction, meeting criteria defined in a PICO (population, intervention, comparison, and outcome), were included...

Since depression often results in suicidal thoughts and leaves a person severely disabled daily, there is an elevated risk of premature mortality due to mental problems caused by depression. Therefore, it's crucial to identify the patient's mental illness as soon as possible. People are increasingly using social media platforms to express their opinions and share daily activities, which makes online platforms rich sources of early depression detection. The contribution of this paper is multifold. First, it presents five machine-learning models for Arabic and English depression detection using Twitter text...

Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. The risk of DR progression is highly variable among different individuals, making it difficult to predict risk and personalize screening intervals. We developed and validated a deep learning system (DeepDR Plus) to predict time to DR progression within 5 years solely from fundus images. First, we used 717,308 fundus images from 179,327 participants with diabetes to pretrain the system. Subsequently, we trained and validated the system with a multiethnic dataset comprising 118,868 images from 29,868 participants with diabetes...

In June 2002, South Korea cohosted the 17th FIFA World Cup. Unexpected wins carried the Korean National Football Team to the semi-finals and sparked an unprecedented euphoria among Koreans. Die-hard fans and occasional football viewers, young and old, women and men flocked the streets side by side, cheered for their team, and partied through the nights. In the subsequent spring of 2003, the country experienced a temporary and significant increase in its fertility rate. Using a difference-in-differences design, we exploit the quasi-experimental nature of this episode to investigate the Beckerian trade-off between the quantity and quality of children born to parents in South Korea...

BACKGROUND: Traditional health care systems face long-standing challenges, including patient diversity, geographical disparities, and financial constraints. The emergence of artificial intelligence (AI) in health care offers solutions to these challenges. AI, a multidisciplinary field, enhances clinical decision-making. However, imbalanced AI models may enhance health disparities. OBJECTIVE: This systematic review aims to investigate the economic performance and equity impact of AI in diagnostic imaging for skin, neurological, and pulmonary diseases...

BACKGROUND: Diabetes-related foot disease (DFD) is a common, costly, and severe complication of diabetes mellitus. DFD is associated with high rates of morbidity and mortality and poses a significant burden on patients, healthcare systems and society. While the detrimental impact of DFD is widely recognised, the precise financial implications of its management in Australia remain unclear due to inconsistent and inconclusive contemporary data. Therefore, the aim of this review was to identify, summarise and synthesise existing evidence to estimate the costs associated with DFD management in Australia...

It aims to explore ChatGPT's (GPT-3.5 version) functionalities, including reinforcement learning, diverse applications, and limitations. ChatGPT is an AI chatbot powered by OpenAI's Generative Pre-trained Transformer (GPT) model. The chatbot's applications span education, programming, content generation, and more, demonstrating its versatility. ChatGPT can enhance education by creating assignments and offering personalized feedback, as shown by its notable performance in medical exams and the USMLE. However, concerns include plagiarism, reliability, and educational disparities...