The relationship between clinical examination findings and objective nasal patency measures in structural nasal obstruction remains uncertain. This review aims to explore the relationship between clinical nasal examination findings and objective nasal patency measures using acoustic rhinometry, peak nasal inspiratory flow, rhinomanometry and rhinospirometry.

Qualitative systematic review using the Preferred Reporting Items for Systematic reviews and Meta-Analyses 2020 statement.

A total of 17 articles were included in the systematic review. Several studies showed a positive relationship between objective nasal patency measures and clinical nasal examination findings, however evidence in the literature is limited and confined to cohort studies. Objective nasal patency measures using acoustic rhinometry, rhinomanometry and rhinospirometry assessment correlate positively in severe anterior septal deviation but its role in assessing middle/posterior and mild/moderate septal deviation in isolation remains uncertain. There is limited evidence in the literature to assess the relationship between peak nasal inspiratory flow and clinical examination findings.

Objective nasal patency measures has a limited role in supporting clinical examination findings in severe structural nasal obstruction.

Natural disasters can cause widespread death and extensive physical devastation, but also harmfully impact individual and community health following a disaster event. Nature-based recovery approach can positively influence the mental health of people and community’s post-natural disasters. In response to the Australian bushfire season of 2019-2020, Zoos Victoria, in partnership with the Arthur Rylah Institute, worked with local communities in East Gippsland to support people’s recovery through experiencing, supporting, and witnessing nature’s recovery.

This mixed-method study explored how nature improved the recovery of remote and rural communities affected by the Black Summer bushfires in East Gippsland. The research studied the individuals’ feelings about being involved in nature-based community events and their lived experiences. Data were collected from June to September 2023 through a nature-based community recovery project survey and community interviews.

The findings demonstrated that engagement with natural environments promotes positive psychological, mental, and general well-being of people from bushfire-affected communities. Positive feedback from participants indicated the success of the Nature-Based Community Recovery Project in East Gippsland after the Black Summer bushfire.

This research provides insights for future recovery projects and ensures that sustainable nature-based recovery solutions for bushfire-impacted communities can be established.

The knowledge of students’ quality of life and post-traumatic stress disorder levels, investigation of the relationship between them, and taking measures are essential in terms of guiding the necessary interventions. This study was conducted to determine the quality of life and post-traumatic stress disorder levels of midwifery students experiencing an earthquake.

This descriptive and correlational study was conducted with 363 midwifery students who had experienced the Kahramanmaras, Türkiye earthquake. Data were obtained using a Descriptive Information Form, the PTSD-Brief Scale, and the World Health Organization Quality of Life Scale (WHOQOL-BREF).

The rate of post-traumatic stress disorder in the sample studied (n = 363), which consisted of midwifery students who would work in the field of health, was 21.5% 2 months after the earthquake. The multiple linear regression analysis indicated that factors predicting post-traumatic stress disorder following the earthquake were quality of life score related to physical and environmental domains, damage status of the house, presence of family history of depression, and smoking status.

This study, which was conducted 2 months following the earthquakes, showed that living spaces had an impact on the occurrence of post-traumatic stress disorder symptoms.

This study aimed to develop and validate the modified irritant gas syndrome agent (IGSA) criteria, utilizing readily available triage information and epidemiologic data to efficiently segregate patients based on the severity of hydrofluoric acid (HFA) exposure.

A retrospective analysis of 160 patients exposed to HFA was performed to develop the criteria and assess the criteria’s efficacy, focusing on age, respiratory rate, and compliance with IGSA standards. The criteria’s validity was assessed by comparing clinical outcomes between patients meeting the modified IGSA (mIGSA) criteria and those who did not as external and internal.

The mIGSA criteria (or AIR criteria) consisting of the 3 clusters of age greater than 49, IGSA criteria satisfied, and respiratory rate greater than 19 was developed. The area under curve of receiver operating characteristic curve for prediction of the risk of confirmed HFA injury according to AIR criteria was 0.8415 at the external validation.

The mIGSA criteria offer a significant improvement in the triage of HFA exposure incidents, facilitating rapid identification and prioritization of patients with potentially severe outcomes. Future research should aim to further validate these criteria across diverse emergency scenarios, reinforcing their utility in global health emergency preparedness.

This systematic literature review explores the applications of social network platforms for disaster health care management and resiliency and investigates their potential to enhance decision-making and policy formulation for public health authorities during such events.

A comprehensive search across academic databases yielded 90 relevant studies. Utilizing qualitative and thematic analysis, the study identified the primary applications of social network data analytics during disasters, organizing them into 5 key themes: communication, information extraction, disaster Management, Situational Awareness, and Location Identification.

The findings highlight the potential of social networks as an additional tool to enhance decision-making and policymaking for public health authorities in disaster settings, providing a foundation for further research and innovative approaches in this field.

However, analyzing social network data has significant challenges due to the massive volume of information generated and the prevalence of misinformation. Moreover, it is important to point out that social network users do not represent individuals without access to technology, such as some elderly populations. Therefore, relying solely on social network data analytics is insufficient for effective disaster health care management. To ensure efficient disaster management and control, it is necessary to explore alternative sources of information and consider a comprehensive approach.

This study aimed to investigate the prevalence and nature of cognitive impairment among severely ill COVID-19 patients and the effectiveness of the Montreal Cognitive Assessment (MoCA) in detecting it.

We evaluated cognition in COVID-19 patients hospitalized during the first wave (March to June 2020) from six Dutch hospitals, nine months post-discharge, using a comprehensive multi-domain neuropsychological test battery. Test performance was corrected for sex, age, and education differences and transformed into z-scores. Scores within each cognitive domain were averaged and categorized as average and above (z-score ≥ −0.84), low average (z-score −1.28 to −0.84), below average (z-score −1.65 to −1.28), and exceptionally low (z-score < −1.65). Patients were classified with cognitive impairment if at least one domain’s z-score fell below −1.65. We assessed the MoCA’s accuracy using both the original cutoff (<26) and an “optimal” cutoff determined by Youden’s index.

Cognitive impairment was found in 12.1% (24/199) of patients, with verbal memory and mental speed most affected (6.5% and 7% below −1.65, respectively). The MoCA had an area under the curve of 0.84. The original cutoff showed sensitivity of 83% and specificity of 66%. Using the identified optimal cutoff of <24, maintained sensitivity while improving specificity to 81%.

Cognitive impairment prevalence in initially hospitalized COVID-19 patients is lower than initially expected. Verbal memory and processing speed are primarily affected. The MoCA is a valuable screening tool for these impairments and lowering the MoCA cutoff to <24 improves specificity.