Associations of working from home with job satisfaction, work-life balance, and working-model preferences.

Introduction: The COVID-19 pandemic forced many businesses to shift towards remote and hybrid working models. This study explored the association of the work-from-home model with employee satisfaction, work-life balance, and work-model preferences within MPlus Group, a leader in telework within the business process and technology outsourcing (BPTO) industry. Methods: We analyzed survey responses of 4,554 employees of MPlus Group across seven countries to assess the associations of working from home with job satisfaction, work-life balance, and preference regarding continuing to work from home. Results: Employees working within all models, and both women and men, reported high levels of job satisfaction and work-life balance, and most employees working from home expressed a desire to continue doing so. Discussion: Our findings suggest working from home does not lead to lower job satisfaction or work-life balance in the BPTO and similar industries. The study provides insights for organizations and policymakers navigating post-pandemic work dynamics. However, further research is needed to examine the long-term implications of remote work across diverse industries.

The predictive validity of a Brain Care Score for dementia and stroke: data from the UK Biobank cohort.

Introduction: The 21-point Brain Care Score (BCS) was developed through a modified Delphi process in partnership with practitioners and patients to promote behavior changes and lifestyle choices in order to sustainably reduce the risk of dementia and stroke. We aimed to assess the associations of the BCS with risk of incident dementia and stroke. Methods: The BCS was derived from the United Kingdom Biobank (UKB) baseline evaluation for participants aged 40-69 years, recruited between 2006-2010. Associations of BCS and risk of subsequent incident dementia and stroke were estimated using Cox proportional hazard regressions, adjusted for sex assigned at birth and stratified by age groups at baseline. Results: The BCS (median: 12; IQR:11-14) was derived for 398,990 UKB participants (mean age: 57; females: 54%). There were 5,354 incident cases of dementia and 7,259 incident cases of stroke recorded during a median follow-up of 12.5 years. A five-point higher BCS at baseline was associated with a 59% (95%CI: 40-72%) lower risk of dementia among participants aged <50. Among those aged 50-59, the figure was 32% (95%CI: 20-42%) and 8% (95%CI: 2-14%) for those aged >59 years. A five-point higher BCS was associated with a 48% (95%CI: 39-56%) lower risk of stroke among participants aged <50, 52% (95%CI, 47-56%) among those aged 50-59, and 33% (95%CI, 29-37%) among those aged >59. Discussion: The BCS has clinically relevant and statistically significant associations with risk of dementia and stroke in approximately 0.4 million UK people. Future research includes investigating the feasibility, adaptability and implementation of the BCS for patients and providers worldwide.

Cytisine Versus Varenicline for Smoking Cessation in a Primary Care Setting: A Randomized Non-inferiority Trial.

INTRODUCTION: A smoking-cessation program was implemented as a randomized non-inferiority trial in primary care practices in Croatia and Slovenia to investigate whether a standard 4-week treatment with cytisine was at least as effective and feasible as a standard 12-week treatment with varenicline in helping smokers quit. AIMS AND METHODS: Out of 982 surveyed smokers, 377 were recruited to the non-inferiority trial: 186 were randomly assigned to cytisine and 191 to varenicline treatment. The primary cessation outcome was 7-day abstinence after 24 weeks, while the primary feasibility outcome was defined by adherence to the treatment plan. We also compared the rates of adverse events between the two treatment groups. RESULTS: The cessation rate after 24 weeks was 32.46% (62/191) in the varenicline group and 23.12% (43/186) in the cytisine group (odds ratio [OR]: 95%, credible interval [CI]: 0.39 to 0.98). Of 191 participants assigned to varenicline treatment 59.16% (113) were adherent, while 70.43% (131 of 186) were adherent in the cytisine group (OR: 1.65, 95% CI: 1.07 to 2.56). Participants assigned to cytisine experienced fewer total (incidence rate ratio [IRR]: 0.59, 95% CI: 0.43 to 0.81) and fewer severe or more extreme adverse events (IRR: 0.72, 95% CI: 0.35 to 1.47). CONCLUSIONS: This randomized non-inferiority trial (n = 377) found the standard 4-week cytisine treatment to be less effective than the standard 12-week varenicline treatment for smoking cessation. However, adherence to the treatment plan, ie, feasibility, was higher, and the rate of adverse events was lower among participants assigned to cytisine treatment. IMPLICATIONS: The present study found the standard 12 weeks of varenicline treatment to be more effective than the standard 4 weeks of cytisine treatment for smoking cessation in a primary care setting in Croatia and Slovenia. Participants assigned to cytisine, however, had a higher adherence to the treatment plan and a lower rate of adverse events. Estimates from the present study may be especially suitable for generalizations to high-smoking prevalence populations in Europe. Given the much lower cost of cytisine treatment, its lower rate of adverse events, and higher feasibility (but its likely lower effectiveness with the standard dosage regimen), future analyses should assess the cost-effectiveness of the two treatments for health policy considerations.

The importance of introducing artificial intelligence to the medical curriculum - assessing practitioners' perspectives.

AIM: To assess the attitude about the importance of introducing education on artificial intelligence (AI) in medical schools' curricula among physicians whose everyday job is significantly impacted by AI. METHODS: An anonymous questionnaire was distributed at the national level in Croatia among radiologists and radiology residents practicing in primary, secondary, and tertiary health care institutions, both in the private and the public sectors. The overall response rate was 45% (144 of 321). RESULTS: A large majority of participants - 89.6% (95% Agresti-Coull confidence interval 0.83-0.94) agreed on the need for education on AI to be included in medical curricula. Answers revealed a very high support across age groups and regardless of subspecialty area. A slightly higher support was present among physicians working in university hospitals compared with those in primary care centers, and among radiology residents compared with radiologists - but these estimated differences are uncertain, and the support levels were clearly high across the considered variables. CONCLUSION: Since medical students have previously been shown to support introducing education on AI, a growing literature argues the same for reasons here reviewed, and physicians practicing a highly relevant area (radiology) overwhelmingly agree, we conclude that medical schools should indeed take steps to keep pace with technological progress in medicine by including education on AI in their curricula, be it as part of existing or new courses.