Developing Empathy towards Experiences of Invisible Disabilities Through Games

Hidden or invisible disabilities are invisible to the onlooker and can be physical, mental, or neurological conditions that limit a person's movements, senses or activities. As a result, they can lead to misunderstandings, false perceptions, and judgments. Developing an understanding of the conditions and the limitations they impose on people who have these conditions might help to develop empathy and reduce stigma and misunderstanding. We investigate the use of games for this purpose. This paper reports a first qualitative survey study with 56 participants about their experiences of interacting with a paper prototype of a game about living with chronic fatigue syndrome (CFS) and then answering questions regarding their perceptions of the game with respect to their own experiences. The study aimed to understand if we can unify the design of games for barriers faced by people with invisible disabilities. The prototype was redesigned based on the findings of the first study. Study 2 involved a playtesting session with 8 participants who did not have invisible disabilities engaging with the digital prototype. Their empathy quotient was measured before and after playing. While the study's results did not yield any statistically significant findings, they do offer some evidence that playing computer games can be a useful way to increase empathy towards people with invisible disabilities and provide design considerations for such games

ADVERSE DRUG REACTIONS AMONG DRUG-RESISTANT TUBERCULOSIS TREATMENT: AN OBSERVATIONAL COHORT STUDY

Objective: Adverse drug reaction (ADR) is regarded as one of the major challenges in the treatment of drug-resistant tuberculosis (DR-TB). It can lead to non-compliance or interrupting treatment completion, which can contribute to avoidable morbidity, drug resistance, treatment failure, reduced quality of life, or mortality. Methods: A retrospective cohort study was conducted in the Ernakulam district of Kerala from 2016 to 2019. All DR-TB patients registered under the DR-TB center were enrolled in the study. Due to privacy and confidentiality HIV infected patients and patients below 12 y of age were excluded in this study and only the data with ADR reported by patients is collected from medical records. Results: Out of the total 146 patients, about 75 % of patients experienced at least one ADR during treatment, and a total of 208 ADRs were reported. Among all the ADRs, the most common ADR was gastritis (12.98%) followed by ototoxicity (10%) and vomiting (5.76%), etc. It was found that males (78.76%) within the age group 46-65 y exhibited more ADR than females. Some of the ADR requires drug withdrawal and replacement with other drugs and most of the patients also needed symptomatic treatment without modifying the treatment regimen. All ADR reported were collected and causality assessment was done via WHO and Naranjo scale. The majority of ADR belongs to the “probable” category in the WHO scale and Naranjo scale. The evaluation of the severity of ADR by using the Modified Hartwig and Siegel scale indicated that most of the ADR was of moderate level showing a 4b reaction. The study also assessed the preventability of ADR using the Schumock and Thornton preventability scale. Conclusion: Many of the ADRs were unidentified or not reported due to several reasons like milder ADR, patient lack of knowledge, Negligence of symptoms, unawareness of health providers, etc. Whereas the long-term treatment and diversities in age, gender, etc. were found as major contributors to ADR along with comorbidities. New drugs in combination with existing drugs created the potential for previously unnotified reactions. Pharmacovigilance should address the safety of therapy and identify ADRs, especially the serious ones with routine monitoring to prevent mortality, morbidity, and other negative outcomes

Data sharing in the age of predictive psychiatry: an adolescent perspective

Background: Advances in genetics and digital phenotyping in psychiatry have given rise to testing services targeting young people, which claim to predict psychiatric outcomes before difficulties emerge. These services raise several ethical challenges surrounding data sharing and information privacy. Objectives: This study aimed to investigate young people’s interest in predictive testing for mental health challenges and their attitudes towards sharing biological, psychosocial and digital data for such purpose. Methods: Eighty UK adolescents aged 16–18 years took part in a digital role-play where they played the role of clients of a fictional predictive psychiatry company and chose what sources of personal data they wished to provide for a risk assessment. After the role-play, participants reflected on their choices during a peer-led interview. Findings: Participants saw multiple benefits in predictive testing services, but were highly selective with regard to the type of data they were willing to share. Largely due to privacy concerns, digital data sources such as social media or Google search history were less likely to be shared than psychosocial and biological data, including school grades and one’s DNA. Participants were particularly reluctant to share social media data with schools (but less so with health systems). Conclusions: Emerging predictive psychiatric services are valued by young people; however, these services must consider privacy versus utility trade-offs from the perspective of different stakeholders, including adolescents. Clinical implications: Respecting adolescents’ need for transparency, privacy and choice in the age of digital phenotyping is critical to the responsible implementation of predictive psychiatric services

Constraining Galactic cosmic-ray parameters with Z<=2 nuclei

The secondary-to-primary B/C ratio is widely used to study Galactic cosmic-ray propagation processes. The 2H/4He and 3He/4He ratios probe a different Z/A regime, therefore testing the `universality' of propagation. We revisit the constraints on diffusion-model parameters set by the quartet (1H, 2H, 3He, 4He), using the most recent data as well as updated formulae for the inelastic and production cross-sections. The analysis relies on the USINE propagation package and a Markov Chain Monte Carlo technique to estimate the probability density functions of the parameters. Simulated data are also used to validate analysis strategies. The fragmentation of CNO cosmic rays (resp. NeMgSiFe) on the ISM during their propagation contributes to 20% (resp. 20%) of the 2H and 15% (resp. 10%) of the 3He flux at high energy. The C to Fe elements are also responsible for up to 10% of the 4He flux measured at 1 GeV/n. The analysis of 3He/4He (and to a less extent 2H/4He) data shows that the transport parameters are consistent with those from the B/C analysis: the diffusion model with delta~0.7 (diffusion slope), Vc~20 km/s (galactic wind), Va~40 km/s (reacceleration) is favoured, but the combination delta~0.2, Vc~0, and Va~80 km/s is a close second. The confidence intervals on the parameters show that the constraints set by the quartet data are competitive with those brought by the B/C data. These constraints are tighter when adding the 3He (or 2H) flux measurements, and the tightest when further adding the He flux. For the latter, the analysis of simulated and real data show an increased sensitivity to biases. Using secondary-to-primary ratio along with a loose prior on the source parameters is recommended to get the most robust constraints on the transport parameters.Comment: 17 pages, 7 tables, 20 figures (submitted to A&A