Eye clinic attendance at the olympic and paralympic games Rio 2016 and its correlation to the WHO indicators on eye health.

OBJECTIVES: To evaluate athletes' frequency of attendance at the eye clinic during the Olympic and Paralympic Games Rio 2016 and to correlate it to WHO core indicators on progress in ophthalmology care in a country. METHODS: Frequencies of athletes' attendance at the eye clinic were calculated for each country. Countries were classified according to the World Bank income levels in high, upper-middle, low-middle or low-income country. Data on ophthalmology care for each country were derived from the International Agency for the Prevention of Blindness atlas. Data were analysed in view of WHO indicators for each country: visual impairment prevalence considering presenting visual acuity <6/18 to ≥3/60 in the better vision eye; number of ophthalmologists per million people and the cataract surgical rate per year, per million population. RESULTS: The athletes' overall frequency of attendance in the eye clinic was 6.47%. Frequencies of attendance for high, upper-middle, low-middle or low-income country were 1.97%, 9.66%, 16.54% and 22.43%, respectively. A positive correlation was observed between the athletes' attendance frequency of a country and its visual impairment prevalence (r=0.2290, p=0.0017). A negative correlation was observed between the athletes' attendance frequency of a country and its eye health workforce (r=-0.2152, p=0.0026). CONCLUSION: Countries with highest athletes' frequencies of attendance were those that face barriers to eye care provision. These results reinforce the importance of the eye clinic service during the Olympic and Paralympic Games proving access to specialised care to athletes and members of delegation.

Remote sensing of salmonid spawning sites in freshwater ecosystems: The potential of low-cost UAV data.

Salmonids are especially vulnerable during their embryonic development, but monitoring of their spawning grounds is rare and often relies on manual counting of their nests (redds). This method, however, is prone to sampling errors resulting in over- or underestimations of redd counts. Salmonid spawning habitat in shallow water areas can be distinguished by their visible reflection which makes the use of standard unmanned aerial vehicles (UAV) a viable option for their mapping. Here, we aimed to develop a standardised approach to detect salmonid spawning habitat that is easy and low-cost. We used a semi-automated approach by applying supervised classification techniques to UAV derived RGB imagery from two contrasting lakes in Iceland. For both lakes six endmember classes were obtained with high accuracies. Most importantly, producer's and user's accuracy for classifying spawning redds was >90% after applying post-classification improvements for both study areas. What we are proposing here is an entirely new approach for monitoring spawning habitats which will address some the major shortcomings of the widely used redd count method e.g. collecting and analysing large amounts of data cost and time efficiently, limiting observer bias, and allowing for precise quantification over different temporal and spatial scales.

Spatial and temporal inequalities in mortality in the USA, 1968-2016.

Previous UK and European research has highlighted important variations in mortality between populations after adjustment for key determinants such as poverty and deprivation. The aim here was to establish whether similar populations could be identified in the US, and to examine changes over time. We employed Poisson regression models to compare county-level mortality with national rates between 1968 and 2016, adjusting for poverty, education, race (a proxy for exposure to racism), population change and deindustrialisation. Results are presented by means of population-weighted cartograms, and highlight widening spatial inequalities in mortality over time, including an urban to rural, and south-westward, shift in areas with the highest levels of such unexplained 'excess' mortality. There is a need to understand the causes of the excess in affected communities, given that it persists after adjustment for such a broad range of important health determinants.

Social gradient of birthweight in England assessed using the INTERGROWTH-21st gestational age-specific standard.

OBJECTIVE: To determine the socioeconomic gradient of birthweights in England with reference to the prescriptive INTERGROWTH-21st Birthweight Standard. DESIGN: National cross-sectional study using data from Hospital Episode Statistics. SETTING: National Health Service in England. PARTICIPANTS: All singleton babies, live born between 34 weeks' gestation and 42 weeks' gestation, between 1 April 2011 and 31 March 2012. MAIN OUTCOME MEASURES: Birthweight distribution of babies with a birthweight of <10th centile or >90th centile, that is, small for gestational age (SGA) or large for gestational age (LGA) using Index of Multiple Deprivation quintiles as a proxy for socioeconomic status. RESULTS: Of 508 230 babies born alive between 1 April 2011 and 31 March 2012, 38 838 (7.6%) were SGA and 81 026 (15.9%) were LGA. Median birthweight was 3405 g, median z-score was 0.25 (SD 1.06). Birthweight z-score demonstrated a social gradient, from 0.26 (SD 1.1) in the most deprived areas to 0.53 (1.0) in the least deprived. Women in the most deprived areas were twice as likely to have SGA babies using the INTERGROWTH-21st chart (OR 1.94; 95% CI 1.87 to 2.01) compared with those in the least deprived areas. If all women had the same rate of SGA equivalent to those living in the least deprived areas, approximately 12 410 (30%) fewer babies would be born SGA in England each year. CONCLUSIONS: This study gives a measure of the social gradient in singleton SGA and LGA babies across England using an international standard of newborn size at birth.

The assessment of depressive patients' involvement in decision making in audio-taped primary care consultations.

OBJECTIVE: In primary care of depression treatment options such as antidepressants, counseling and psychotherapy are reasonable. Patient involvement could foster adherence and clinical outcome. However, there is a lack of empirical information about the extent to which general practitioners involve patients in decision making processes in this condition, and about the consultation time spent for distinct decision making tasks. METHODS: Twenty general practice consultations with depressive patients prior to a treatment decision were audio-taped and transcribed. Patient involvement in decision making was assessed with the OPTION-scale and durations of decision making stages were measured. RESULTS: Mean duration of consultations was 16 min, 6s. The mean of the OPTION-items were between 0.0 and 26.9, in a scale range from 0 to 100. Overall, 78.6% of the consultation time was spent for the step "problem definition" (12 min, 42 s). CONCLUSION: Very low levels of patient involvement in medical decisions were observed in consultations about depression. Physicians used the majority of their time for the definition of the patient's medical problem. PRACTICE IMPLICATIONS: To improve treatment decision making in this condition, general practitioners should enhance their decision making competences and be more aware of the time spent in each decision making stage.