Training Surgical Residents Utilizing an Animal Shelter Fracture Program

Working relationships between veterinary medical teaching hospitals, animal shelters, and rescue groups are one way to increase veterinary students’ and residents’ hands-on training. The goal of this study is to describe the use of a shelter fracture program to improve the surgical skills of surgical residents. In this program, the participating shelter and rescue organizations electronically submit cases. Following evaluation of radiographs and case approval by the orthopedic faculty, the case is scheduled for a physical evaluation. A resident takes primary surgical care together with a fourth-year student rotating through the orthopedic surgery service to ensure the proper pre-, peri-, and post-operative standard of care. All care is overseen by the orthopedic faculty. A veterinary student–run fracture foster program allows students to gain additional experience in the pre-, peri-, and post-operative care of shelter animals. The total number of shelter animals treated during a 9-year period was 373, with a mean annual case load of 41.1 cases (± 10.3). During the same time period, a total of 435 client-owned cases underwent surgical fracture treatment, with a mean annual case load of 48 cases (± 11.7). Surgical resident and student surveys show that this program contributes to their knowledge, skills, and confidence in treating fracture patients. A successful cooperative program provides advanced surgical fracture treatment of shelter animals, improving animals’ quality of life as well as surgical residents’ and veterinary students’ skills training.

Analysis of Covid-19 Situation in Udupi District, Karnataka, South India

Background: COVID 19 originated in Wuhan city and rapidlyspread to variouscountries. The first case from India was notified on 30th January at Kerala state. Karnataka identified with COVID cases in the month of March. First case in Udupi notified on 24/03/2020. At the end of August 30 the cases were reached to 11598. Present study aimed to study the trends and pattern of Covid-19 in one of the coastal region of Karnataka i.e. in Udupi district. Objectives: 1) Analyze the trend and pattern of COVID 19 cases at Udupi district. 2) Calculate the incidence, Prevalence, Case Fatality rates and Competed Methodology: Data is obtained from media bulletin released by the Dept.of health and family welfare Karnataka. Udupi district was chosen for studyand data is analyzed throughMS excel and case fatalityrate, Completed case fatality rate, patient recovery rate were calculated and expressed in graphs Result: The case load in increased exponentially but growthrate is droppingdown as month advances. Prevalenceof the cases expressed in Attack rate, CFR, CCFR and PRR. In the month of April attackrate is 1.43 per lakh population, that increased to 88 cases per lakh population.by May, This indicated high susceptible population getting infected. Then it got stabilized around 2-6 folds per month and At the end of August 30 the cases were reached to 11598.In August month fatality rate reaches at peak level with value of 0.9. Total growth in CFR from June to August is 89%. Thecases were high in rainy season when compare to summer season.It indicates climatehas direct effecton the Covid 19 spread in Udupi district Conclusion:The case load in increasing exponentially but growth rate is droppingdown as month advanced in Udupi district indicates better management of cases. Cases got reduced after imposing lockdown in district. Preventive measures and social distancing played an important role in reduction of case load in district.

Adult ADHD clinics in north Wales - case load prevalance & compliance with nice guidelines (quality evaluation project)

AimsMeasure compliance with National Institute for Health and Care Excellence (NICE) recommendations in four Adult CMHT'sGuide further service development.We audited the case notes of 20 patients each currently under care of 9 General Adult Consultants across 6 CMHT's in East side of North Wales against NICE standards using an adapted version of the ADHD audit support tool.My role in the Project & How does this represent my practice?I was the audit and overall lead for this projectI formulated the audit tool and registered my project with Audit Registration Team.I lead data collection and compilation of results.MethodOverall, this is the first audit of Adult ADHD Services in East side of North Wales.It established good compliance with NICE guidance for assessment and treatment.NICE has expressed the need for full mental health and social assessment including full history and physical examination prior to the drug treatment.Good compliance was observed in using & documenting Diagnostic Criteria (DSM-IV and/or ICD-10).There were deficiencies in conducting or arranging recommended physical examination & side effect monitoring.Drug treatment was the first line of treatment in the majority of cases.Antipsychotics were used in some patients referred for ADHD assessment, despite the fact that NICE has ruled out the use of antipsychotic drugs in treatment of core symptoms of ADHD.ResultPrevalence of Adult ADHD clinician case load in Wrexham and Fintshire Counties.Diagnosis of Adult ADHD according to ICD 10 & DSM IV Guidelines.Pre treatment screening of physical health for ADHD patients.Side effects monitoring of patients on stimulant medications.ConclusionThe finding highlights the need for more effort in educating clinicians about safety and effectiveness of antipsychotics in ADHD.Comprehensive treatment programmes that address psychological, behavioural, educational and occupational needs should be established.Development of local ADHD Clinics, support groups and in partnership with the voluntary sector should be encouraged.It is important that mental health professionals receive appropriate training in assessment, management & monitoring of ADHD patients with co morbid substance use disorder and other mental illnesses.BETSI Health Board to participate in national Prescribing Observatory for Mental Health (POMH-UK) Quality Improvement Programme (QIP) focusing on prescribing for ADHD in children, adolescents & adults.

Professional training and case-load mix within a community mental health team

AimsCommunity Mental Health Teams (CMHTS) are now the cornerstone of modern mental health care and play a central role in assessment, diagnosis and care coordination. CMHTs vary widely in their service provision and composition. Within teams there is latitude for variation of professional roles but the extent to which different disciplines undertake generic and profession-specific work is poorly defined. This cross-sectional study aims to establish how professional training influences the distribution of case-load mix within a general adult CMHTMethodThe GR1 CMHT provides care to a mixed urban/rural population of 25,000 in Galway city and Connemara. A review was conducted of multi-disciplinary case notes for all patients actively registered with the team for a period of one year. Name, age, gender, whether referred or admitted in the past year, medication and day hospital attendance were recorded. Clinical diagnoses were recorded but, where missing, verified with a relevant team member. The team consultant reviewed and verified the 1CD-10 primary clinical diagnosis for all patients. Evidence of clinical input by multidisciplinary team members was recorded from clinical files with the final electronic database being checked by each professional for accuracy. We examined any input over the past year rather thanfrequency of input. Patient characteristics and diagnosis by professional discipline were examined using descriptive statistics.ResultOf a total of 246 patients registered to the team, 37.8% (N = 93) saw one, 34.6% (N = 85) saw two and 24.4% (N = 60) saw 3 or more team members. Of those who saw three or more team members, psychotic disorders represented the majority diagnoses (40%, N = 24) followed by personality disorders (25%, N = 15) and affective disorders (15%, N = 9). Patients were most commonly seen by a doctor (91.5%, N = 225) followed by community mental health nurses (CMHNs) (52.8%, N = 130). Doctors saw 85% or more of all patients grouped by ICD-10 diagnoses. The majority of social work and occupational therapy case-mix comprised psychotic disorders (SW = 44.2%, OT = 34.2%) followed by personality disorders (SW = 25.6%, OT = 23.7%). Of psychology case-mix, the highest was personalitydisorders at 41.6% (N = 13) followed by anxiety and related disorders at 25% (N = 8). CMHN case-mix was highest for psychotic disorders at 44.6% (N = 58) followed by 21.5% mood disorders (N = 28).ConclusionThis cross sectional survey informs how we currently target our specialist resources. We will now develop this to include frequency of contact to inform resource allocation and skill mix.

Face Mask Detection using Mobile Net V2

Face Mask Detection is an amazing field of study, during the times, we need to ensure proper mask wearing to avoid the infections and reduce the case load on the medical facilities. In this report we discuss various ideas and algorithms to detect the face mask by taking a look at various papers. The algorithms discussed in this paper are already being used for face detection and mask detection. This model will be used to detect face masks and ensure proper mask wearing.

The COVID States Project #51: Trajectory of health-related behaviors in California

Since the onset of the COVID-19 pandemic in March 2020, California has had more than 3.7 million confirmed cases of COVID-19 and over 62,000 total deaths. According to Statista, California has been the state with the most COVID-19 cases and deaths in the U.S. and has maintained that status for the majority of the pandemic. Recently, however, the case and death rates for the state have decreased drastically. For the week of May 3, California’s COVID-19 case load is approximately 5 per 100,000 residents, ranking it at the bottom of the list for case rates compared to other states in the country, down 98% from its peak; and deaths from COVID are down to 0.15 per 100,000 residents, down 95%. The state’s 7 day rolling average of new cases in 2020 remained well below 10,000 from March to early July, but sharply increased and exceeded 10,000 by August. Then, it decreased to the 4,000 range in the fall. From late November to mid-January, there was another rise, with the average reaching its highest recorded level at approximately 44,000 on December 22. After reaching its peak in December, it fell dramatically, to below 1,900 by early May. Consequently, the probability of contracting COVID as a resident in California is far slimmer today than it was just three months ago.