Parental consanguinity among patients with schizophrenia in a rural community of South India: A clinical and genetic investigation

Utilizing self-report diaries to explore task time distribution of school nurses in UAE

OBJECTIVE

This study aims to evaluate the roles and tasks of school nurses in the UAE, quantify the time spent on each, and identify areas for improvement in school health services. This aligns with the UAE government's initiative to enhance primary healthcare, focusing on illness prevention and health promotion for children and adolescents.

METHODS

The research adopts an observational study design, utilizing self-observation through diary recordings by school nurses to collect data on their daily tasks and time allocation. A sample of total of 2024 school nurse activities were recorded and analyzed over 126 days and 1084 h of observation by eight school nurses using self-report diaries. This method allowed for the collection of detailed information on how nursing time is allocated between core and noncore tasks.

RESULTS

In this study a total of 2024 tasks were observed over 1084 h. The findings reveal that core nursing tasks accounted for 78% of activities but only 53% of the total 1084 h observed, while non-nursing tasks, making up 22% of activities, disproportionately consumed 47% of the hours. This discrepancy highlights the inefficiency of time allocation, with non-nursing tasks such as administrative duties taking significantly longer than core patient care tasks.

CONCLUSIONS

The study highlights a significant opportunity to enhance school health services in the UAE by optimizing the allocation of nursing time towards more illness prevention and health promotion interventions. By addressing the identified challenges, including the gaps in nurse competencies and the lack of structured practice frameworks, school health services can be improved.

Multivariate associations between cognition and neighborhood geospatial characteristics in schizophrenia

Cognitive impairment contributes to functional impairment in schizophrenia. Yet, little is known about how environmental characteristics are related to cognition in schizophrenia. By examining how cognition and the environment are intertwined, it may be possible to identify modifiable risk and protective factors that can improve cognitive outcomes in schizophrenia. We aimed to identify multivariate associations between cognition and three geospatial characteristics (built-space density, habitable green spaces, and public spaces for social interaction) within one's immediate neighborhood among individuals with schizophrenia. We recruited participants with schizophrenia from three sites - an urban metropolitan and two towns in southern India. We administered standard cognitive assessments and performed a principal axis factoring to identify episodic memory, cognitive control, and social inference-making factors for use in further analyses. We estimated geospatial characteristics of an individual's neighborhood, i.e., up to 1 km² around the residence, by sourcing data from Google Earth. We performed unconditional and conditional (to examine the effect of clinical covariates) canonical correlation analyses to understand the multivariate relationship between cognition and geospatial characteristics. We analyzed data from 208 participants; the first canonical cognitive variate (higher social inference-making and poorer cognitive control) shared 24% of the variance (r = 0.49; P < 0.001) with the first geospatial variate (lower built density and poorer access to public spaces). Years of education, age at onset, and place of residence significantly modulated this relationship. We observe differential associations of the built environment with social and non-social cognition in schizophrenia, and highlight the clinical and demographic characteristics that shape these associations.