COMPARISON OF PLUG-IN GAIT AND A SIX DEGREES OF FREEDOM MODEL ON ESTIMATING KNEE KINEMATICS DURING A DOUBLE LEG DROP JUMP

Biomechanical models allow for a comprehensive understanding of dynamic movements that could be used to assess athletic performance or identify injury risk and return to play status. In order to make clinical recommendations based on these model outputs, discrepancies between modelling approaches need to be identified. The purpose of this study was to compare the knee kinematics between the commonly used Plug-in Gait model and a six degrees of freedom model during the first landing a double leg drop jump (DLDJ). This study identified differences in the model outputs for knee kinematics, most prominently in the frontal and transverse planes. Further investigation is required to determine the reliability and sensitivity of these model outputs

Translation and Cross-Cultural Adaptation of the Supportive and Palliative Care Indicators Tool into Japanese:A Preliminary Report

BACKGROUND: There is a need for tools in primary care to support clinicians to identify patients with unmet palliative care needs. The Supportive and Palliative Care Indicators Tool (SPICT) is concise and covers most conditions in primary care settings. However, the SPICT was not available in Japanese. METHODS: The translation and cultural adaptation of the SPICT was conducted in four stages: forward translation (Stage I), synthesis (Stage II), back translation (Stage III), and expert committee review (Stage IV). RESULTS: During the translation process, any content challenging to translate was addressed in Stage II and through discussion among the researchers. The expert committee review provided valuable insights on palliative care in Japan in addition to the translation. CONCLUSION: The Japanese version of the SPICT and its user guide are ready to be tested in clinical settings. They have the potential to help Japanese family physicians integrate palliative care in their care of patients with all life-limiting illnesses

Archetypal trajectories of social, psychological, and spiritual wellbeing and distress in family care givers of patients with lung cancer: secondary analysis of serial qualitative interviews

Objective To assess if family care givers of patients with lung cancer experience the patterns of social, psychological, and spiritual wellbeing and distress typical of the patient, from diagnosis to death

Comparison of Plug-in Gait and a 6DOF model for estimating knee kinematics during a double-leg drop jump

Biomechanical models allow for a comprehensive understanding of dynamic movements that could be used to assess athletic performance or identify injury risk and return to play status. In order to make clinical recommendations based on these model outputs, discrepancies between modelling approaches need to be identified. The purpose of this study was to compare the knee kinematics between the commonly used Plug-in Gait model and a six degrees of freedom model during the first landing a double leg drop jump (DLDJ). This study identified differences in the model outputs for knee kinematics, most prominently in the frontal and transverse planes. Further investigation is required to determine the reliability and sensitivity of these model outputs

What do our school reports really say?

School reports are an enduring feature of the education landscape. They form part of our personal history, fondly retained by parents well beyond a child’s school leaving age. The Department for Education requires schools in England to report to parents annually(Department for Education, 2015). There is widespread variation in reporting practice and many schools are doing more than is legally required of them(Power and Clark, 2000).While frequent, data focused reports are commonly used, many schools continue to write comment-based reports as part of their reporting regime. As students move into secondary school, reports of their day to day learning become less forthcoming from the students themselves and reports become one of very few channels of home-school communication

Unscheduled and out-of-hours care for people in their last year of life:a retrospective cohort analysis of national datasets

Objectives To analyse patterns of use and costs of unscheduled National Health Service (NHS) services for people in the last year of life.Design Retrospective cohort analysis of national datasets with application of standard UK costings.Participants and setting All people who died in Scotland in 2016 aged 18 or older (N=56 407).Main outcome measures Frequency of use of the five unscheduled NHS services in the last 12 months of life by underlying cause of death, patient demographics, Continuous Unscheduled Pathways (CUPs) followed by patients during each care episode, total NHS and per-patient costs.Results 53 509 patients (94.9%) had at least one contact with an unscheduled care service during their last year of life (472 360 contacts), with 34.2% in the last month of life. By linking patient contacts during each episode of care, we identified 206 841 CUPs, with 133 980 (64.8%) starting out-of-hours. People with cancer were more likely to contact the NHS telephone advice line (63%) (χ2 (4)=1004, p<0.001) or primary care out-of-hours (62%) (χ2 (4)=1924,p<0.001) and have hospital admissions (88%) (χ2 (4)=2644, p<0.001). People with organ failure (79%) contacted the ambulance service most frequently (χ2 (4)=584, p<0.001). Demographic factors associated with more unscheduled care were older age, social deprivation, living in own home and dying of cancer. People dying with organ failure formed the largest group in the cohort and had the highest NHS costs as a group. The cost of providing services in the community was estimated at 3.9% of total unscheduled care costs despite handling most out-of-hours calls.Conclusions Over 90% of people used NHS unscheduled care in their last year of life. Different underlying causes of death and demographic factors impacted on initial access and subsequent pathways of care. Managing more unscheduled care episodes in the community has the potential to reduce hospital admissions and overall costs

Using illness trajectories to inform person-centred, advance care planning

What you need to know- Most patients with progressive illness follow characteristic trajectories of decline, previously identified as rapid, intermittent, or a gradual decline from a low baseline- Multimorbidity is increasingly common and follows a distinct fourth trajectory- An understanding of the dynamic multidimensional trajectories of patients with progressive illnesses helps clinicians consider individual holistic needs and have meaningful conversations with patients and families about advance care planning- In patients with an acute deterioration in health (such as from an infection), considering the main underlying illness trajectory helps guide shared decision making about realistic current and future treatment and care option