Front-line health professionals' recognition and responses to nonfatal strangulation events: An integrative review.

Aim: The aim of this study was to determine how front-line health professionals identify and manage nonfatal strangulation events.

Design: Integrative review with narrative synthesis was conducted.

Data Sources: A comprehensive database search was conducted in six electronic databases (CINAHL, Wed of Science, DISCOVER, SCOPUS, PubMed and Scholar) resulting in 49 potentially eligible full texts, reduced to 10 articles for inclusion after exclusion criteria were applied.

Artificial intelligence: An eye cast towards the mental health nursing horizon.

There has been an international surge towards online, digital, and telehealth mental health services, further amplified during COVID-19. Implementation and integration of technological innovations, including artificial intelligence (AI), have increased with the intention to improve clinical, governance, and administrative decision-making. Mental health nurses (MHN) should consider the ramifications of these changes and reflect on their engagement with AI.

Exploring the experiences and perceptions of students in a graduate entry nursing programme: A qualitative meta-synthesis.

Background: Students commencing graduate entry fast-tracked nursing programmes leading to registration are highly motivated and characterised by rich life experiences. Given their unique motivations and characteristics, gaining insight into their experiences of graduate entry programmes will inform strategic directions in education.

Objective: To synthesise graduate entry nursing students' self-reported experiences and perceptions of their accelerated programme.

What Motivates People to Start a Graduate Entry Nursing Programme: An Interpretive Multi-Centred Case Study.

Introduction: While graduate entry nursing programmes are well established in the United Kingdom and the United States of America (USA), they are relatively new to New Zealand and Australia. These programmes have been developed to meet the demands of the health workforce and provide graduates an alternative pathway to becoming a RN. Nursing is viewed as an attractive career option for this growing market of graduate entry students.

Biochemistry changes that occur after death: potential markers for determining post-mortem interval.

Death is likely to result in very extensive biochemical changes in all body tissues due to lack of circulating oxygen, altered enzymatic reactions, cellular degradation, and cessation of anabolic production of metabolites. These biochemical changes may provide chemical markers for helping to more accurately determine the time since death (post-mortem interval), which is challenging to establish with current observation-based methodologies. In this study blood pH and changes in concentration of six metabolites (lactic acid, hypoxanthine, uric acid, ammonia, NADH and formic acid) were examined post-mortem over a 96 hour period in blood taken from animal corpses (rat and pig) and blood from rats and humans stored in vitro.

Characterising the dynamics of expirated bloodstain pattern formation using high-speed digital video imaging.

During forensic investigations, it is often important to be able to distinguish between impact spatter patterns (blood from gunshots, explosives, blunt force trauma and/or machinery accidents) and bloodstain patterns generated by expiration (blood from the mouth, nose or lungs). These patterns can be difficult to distinguish on the basis of the size of the bloodstains. In this study, high-speed digital video imaging has been used to investigate the formation of expirated bloodstain patterns generated by breathing, spitting and coughing mechanisms.

Using oral microbial DNA analysis to identify expirated bloodspatter.

Distinguishing expirated bloodstains (blood forced by airflow out of the nose, mouth or a chest wound) from impact spatter (blood from gunshots, explosives, blunt force trauma and/or machinery accidents) is an important challenge in forensic science. Streptococcal bacteria are only found in the human mouth and saliva. This study developed a polymerase chain reaction (PCR) method that detects DNA from these bacteria as a sensitive tool to detect the presence of saliva.