The Impact of Sex and Gender on Burden for Caregivers of Stroke Patients: a narrative review.

BACKGROUND: When a patient is disabled after stroke, they require both emotional support and medical management and may require the assistance of a caregiver. Given the often-sudden onset of disability and the complex challenges related to caring for someone after stroke, caregivers can experience a heavy burden. Caregiver burden negatively affects quality of care, quality of life, and physical and psychological health. The impact of gender on caregiver burden has been in many other conditions; however, the association has not yet been thoroughly assessed in stroke. OBJECTIVE: The aim of this paper is to define caregiver burden, discuss how it is assessed, discuss unique aspects of burden for stroke caregivers, and determine the impact of sex and gender on stroke caregiver role and burden. METHODS: A narrative review was performed to synthesize the available literature and explore how the role of sex and gender impact caregiving for patients who have suffered stroke and whether sex and gender of the caregiver contribute to caregiver burden r. RESULTS: Review of the available literature suggests that sex and gender significantly impact caregiving burden following stroke dipropionately affecting women. CONCLUSIONS: Caregiving for patients who have suffered stroke is often provided by women both inside the home and when patients are within institutions. Women who serve as caregivers to stroke patients may be at higher risk of experiencing burden and its negative effects, including emotional strain, anxiety, and/or depression. More research is needed to determine the best ways to provide support for women who act as caregivers for stroke patients to mitigate caregiver burden.

Community pharmacy discharge medicines service activity as recorded in PharmOutcomes: a retrospective exploration and analysis.

OBJECTIVES: Transition of care when a patient moves between healthcare locations is a risk factor for medication errors and medicines-related preventable harm. The aims of this retrospective service evaluation were to understand, by classifying and quantifying, the nature of interventions made by community pharmacy when receiving a discharge medicines service referral from a secondary care hospital, with a focus on two groups of high-risk medicines supplied at discharge-oral anticoagulants and weak opioids following hip or knee surgery. METHODS: Records made on the PharmOutcomes™ platform by community pharmacists in response to referral for the NHS England discharge medicines service were analysed and summarized. This analysis was exploratory and interpretative in nature and used a convenience sample of patients who had consented for the service over 12 months from May 2022 to April 2023. KEY FINDINGS: During 12 months, 6811 referrals occurred, of which 71% were recorded as having different stages of the service completed on PharmOutcomes™. Medicines reconciliation, first-prescription review, and consultation stages decreased as patients progressed through the service. Slightly greater rates of completion were observed for patients receiving oral anticoagulants and for codeine or dihydrocodeine following hip and knee surgery, although overall referrals were low for this latter cohort. CONCLUSIONS: Through this service, community pharmacists are well placed to support the safe and effective use of medicines including oral anticoagulants and weak opioids posthospital discharge and potentially reduce incidents of avoidable harm. The variations in recorded completion rates across the three stages of the service and the apparent greater finalization rates for the high-risk medicines studied require further investigation.

Promoting effective interprofessional collaborative practice in the primary care setting: recommendations from Queensland physiotherapy private practitioners.

BACKGROUND: Physiotherapy private practitioners represent a growing proportion of Australia's primary care workforce; however, they face significant barriers in integrating seamlessly within interprofessional teams. Historically, the landscape of primary care in Australia has been one where many physiotherapists work in monoprofessional private practice facilities at dispersed locations, potentially limiting collaborative and coordinated care. The aim of this study was to investigate strategies recommended by physiotherapists to promote effective interprofessional collaborative practice (IPCP) within the Australian private practice setting. METHODS: Using interpretive description as the guiding methodological framework, semi-structured interviews were conducted with 28 physiotherapists in 10 private practice sites in Queensland, Australia. RESULTS: Data analysis produced three themes that characterised physiotherapy private practitioners' recommendations to improve IPCP: (a) the need for improved funding and compensation, particularly addressing the limitations of the Medicare Chronic Disease Management program; (b) the development of integrated and secure digital communication systems to facilitate better information exchange; and (c) prioritising professional development and training to enhance collaboration. CONCLUSIONS: This research lays the groundwork for informed policy making to advance person-centred care and support the integration of services in the Australian healthcare system. The findings from this study indicate that promoting effective IPCP in physiotherapy private practice requires a comprehensive strategy that addresses systemic funding and compensation issues, enhances digital communication systems and optimises interprofessional education and training.

The Tensegrity Curriculum: A Comprehensive Curricular Structure Supporting Cultural Humility in Undergraduate Medical Education.

Due to growing health disparities in underserved communities, a comprehensive approach is needed to train physicians to work effectively with patients who have cultures and belief systems different from their own. To address these complex healthcare inequities, Rowan-Virtua SOM implemented a new curriculum, The Tensegrity Curriculum, designed to expand beyond just teaching skills of cultural competence to include trainees' exploration of cultural humility. The hypothesis is that this component of the curriculum will mitigate health inequity by training physicians to recognize and interrupt the bias within themselves and within systems. Early outcomes of this curricular renewal process reveal increased student satisfaction as measured by course evaluations. Ongoing course assessments examine deeper understanding of the concepts of implicit bias, social determinants of health, systemic discrimination and oppression as measured by performance on graded course content, and greater commitment to continual self-evaluation and critique throughout their careers as measured by course feedback. Structured research is needed to understand the relationship between this longitudinal and integrated curricular design, and retainment or enhancement of empathy during medical training, along with its impact on health disparities and community-based outcomes.

Reclaiming behaviour settings: reviewing empirical applications of Barker's behaviour settings theory.

Behaviour settings theory is the product of Roger Barker and Herbert F. Wright's decades-long Midwest Field Station research programme. The theory followed from the demonstration that the best predictor of a person's behaviour was the setting (i.e. location, timing and activity) in which their behaviour took place, rather than any individual trait (e.g. personality). Now little known in psychology, behaviour settings theory is often further obscured by being presented as a theory only, neglecting the clear methodology Barker provided for investigating the question: 'What do people do in everyday life?' This literature review takes a comprehensive look at Barker's contributions both within and outside of psychology. The corpus comprises both theoretical and empirical articles; however, our primary interest is in the empirical articles. We describe the who, when and where of behaviour settings research over the past half-century, and we identify branches and neighbours of behaviour settings research (e.g. manning theory, behaviour mapping and activity settings theory). Primarily, however, we attempt to answer the following questions: (i) Are any of Barker's tools for studying people in everyday settings being used currently? (ii) How accurately has Barker's theory been explained, or his methods applied? (iii) Does such work contribute to behaviour settings theory in a meaningful way? This article is part of the theme issue 'People, places, things and communities: expanding behaviour settings theory in the twenty-first century'.

Ability of a dynamical climate sensitive disease model to reproduce historical Rift Valley Fever outbreaks over Africa.

Rift Valley Fever (RVF) is a zoonosis transmitted by Aedes and Culex mosquitoes, and is considered a priority pathogen by the WHO. RVF epidemics mostly occur in Africa and can decimate livestock herds, causing significant economic losses and posing health risks for humans. RVF transmission is associated with the occurrence of El Niño events that cause floods in eastern Africa and favour the emergence of mosquitoes in wetlands. Different risk models have been developed to forecast RVF transmission risk but very few studies have validated models at pan-African scale. This study aims to validate the skill of the Liverpool Rift Valley Fever model (LRVF) in reproducing RVF epidemics over Africa and to explore the relationship between simulated climatic suitability for RVF transmission and large-scale climate modes of variability such as the El Niño Southern Oscillation (ENSO) and the Dipole Mode Index (DMI). Our results show that the LRVF model correctly simulates RVF transmission hotspots and reproduces large epidemics that affected African countries. LRVF was able to correctly reproduce major RVF epidemics in Somalia, Kenya, Zambia and to a lesser extent for Mauritania and Senegal. The positive phases of ENSO and DMI are associated with an increased risk of RVF over the Horn of Africa, with important time lags. Following research activities should focus on the development of predictive modelling systems at different time scales.

The acceptability of group B streptococcal bacteria (GBS) testing to women, including self-swabbing procedures: A qualitative study.

BACKGROUND: Group B streptococcus (GBS) is a bacterium carried by 20-25 % of pregnant women in the UK, which can be transmitted from pregnant women to their babies at the time of birth. Women can be tested for GBS in pregnancy using a vaginal-rectal swab, however, this testing is currently not routinely offered in the UK. A large clinical trial is underway to determine the clinical and cost-effectiveness of routine testing (ISRCTN reference number ISRCTN49639731). A crucial part of understanding whether this type of test should be implemented is women's views on the acceptability of being offered GBS tests, their preferences towards testing procedures and their willingness to receive these tests. AIM: To explore women's views on the acceptability of different methods of Group B streptococcal bacteria (GBS) testing in pregnancy, including self-swabbing procedures. METHODS: A convenience sample of 19 women (5 pregnant and 14 postpartum) were interviewed using a semi-structured interview guide. Interviews were transcribed and analysed using systematic thematic analysis. RESULTS: Findings show that many of the women interviewed were not concerned about being offered a GBS test, were willing to provide a sample and felt positive towards samples being taken to detect GBS. Women varied in their preferences on the best time for sampling. Some thought being approached during pregnancy gave them time to understand the purpose of testing, prepare for what may happen next and ask questions about potential treatment if needed. Others thought labour was a good time to provide accurate results on GBS carriage at birth and reduce unnecessary worry during pregnancy. However, women were concerned that they may be unable to make an informed decision in labour due to time, pain and the prospect of birthing quickly. Women perceived clinician swabbing as more accurate than self-sampling; however, many thought clinician swabbing might be embarrassing so self-swabs should be available to increase uptake for some women. CONCLUSIONS: Overall, women thought both pregnancy and labour were acceptable times to test for GBS. The majority found both clinician and self-swabbing procedures acceptable; however, many had a preferred swabbing option and thought women should be given the choice of the swabbing procedure most acceptable to them. It is important that women are given information about GBS testing and its procedures in pregnancy regardless of when the GBS swabbing is performed.

The effect of explicit convection on simulated malaria transmission across Africa.

Malaria transmission across sub-Saharan Africa is sensitive to rainfall and temperature. Whilst different malaria modelling techniques and climate simulations have been used to predict malaria transmission risk, most of these studies use coarse-resolution climate models. In these models convection, atmospheric vertical motion driven by instability gradients and responsible for heavy rainfall, is parameterised. Over the past decade enhanced computational capabilities have enabled the simulation of high-resolution continental-scale climates with an explicit representation of convection. In this study we use two malaria models, the Liverpool Malaria Model (LMM) and Vector-Borne Disease Community Model of the International Centre for Theoretical Physics (VECTRI), to investigate the effect of explicitly representing convection on simulated malaria transmission. The concluded impact of explicitly representing convection on simulated malaria transmission depends on the chosen malaria model and local climatic conditions. For instance, in the East African highlands, cooler temperatures when explicitly representing convection decreases LMM-predicted malaria transmission risk by approximately 55%, but has a negligible effect in VECTRI simulations. Even though explicitly representing convection improves rainfall characteristics, concluding that explicit convection improves simulated malaria transmission depends on the chosen metric and malaria model. For example, whilst we conclude improvements of 45% and 23% in root mean squared differences of the annual-mean reproduction number and entomological inoculation rate for VECTRI and the LMM respectively, bias-correcting mean climate conditions minimises these improvements. The projected impact of anthropogenic climate change on malaria incidence is also sensitive to the chosen malaria model and representation of convection. The LMM is relatively insensitive to future changes in precipitation intensity, whilst VECTRI predicts increased risk across the Sahel due to enhanced rainfall. We postulate that VECTRI's enhanced sensitivity to precipitation changes compared to the LMM is due to the inclusion of surface hydrology. Future research should continue assessing the effect of high-resolution climate modelling in impact-based forecasting.

A unified metric of human immune health.

Immunological health has been challenging to characterize but could be defined as the absence of immune pathology. While shared features of some immune diseases and the concept of immunologic resilience based on age-independent adaptation to antigenic stimulation have been developed, general metrics of immune health and its utility for assessing clinically healthy individuals remain ill defined. Here we integrated transcriptomics, serum protein, peripheral immune cell frequency and clinical data from 228 patients with 22 monogenic conditions impacting key immunological pathways together with 42 age- and sex-matched healthy controls. Despite the high penetrance of monogenic lesions, differences between individuals in diverse immune parameters tended to dominate over those attributable to disease conditions or medication use. Unsupervised or supervised machine learning independently identified a score that distinguished healthy participants from patients with monogenic diseases, thus suggesting a quantitative immune health metric (IHM). In ten independent datasets, the IHM discriminated healthy from polygenic autoimmune and inflammatory disease states, marked aging in clinically healthy individuals, tracked disease activities and treatment responses in both immunological and nonimmunological diseases, and predicted age-dependent antibody responses to immunizations with different vaccines. This discriminatory power goes beyond that of the classical inflammatory biomarkers C-reactive protein and interleukin-6. Thus, deviations from health in diverse conditions, including aging, have shared systemic immune consequences, and we provide a web platform for calculating the IHM for other datasets, which could empower precision medicine.