Communicating You Are Worth It in a Noisy Marketplace

This paper provides guidance and specific examples of common elements needed for communicating the value proposition of liberal arts colleges to prospective students and families. In an environment where the worth of a college degree is questioned daily by the public and the mainstream media, this paper demonstrates how strategies that are distinctive, rooted in research and complementary to the institutional brand are imperative for communicating the worth of an institution. The paper suggests tactics to develop the key partnerships needed and provides metrics for how leaders can assess their value proposition initiatives

On Demand: Exploring the Potential of Electronic Feedback on Assessment Performance

This paper presents the findings from an evaluatory pedagogical project that utilised an ethnographic case study approach to examine factors influencing the use of online formative assessment and feedback within an undergraduate programme. The project posed the questions: • What are the effects of introducing online formative assessment and feedback on learning and assessment performance? • How effective is online formative feedback in enhancing student success? The study draws upon data collected from a sample of students (22) who volunteered to participate in the research over a period of one academic year. Data collection tools included: focus group interview, semi-structured questionnaire and student assessment data. The study demonstrates that formative feedback and assessment is beneficial for teaching and learning, and that electronic assessment can offer a more flexible approach that can complement f2f feedback. Online formative feedback in the context of this study had a positive effect upon academic performance and student satisfaction, and demonstrates that students find online formative feedback effective and meaningful. Whilst the small size of the sample influences generalizability, the findings agree with the wealth of literature surrounding formative assessment and the benefits that accrue to students from delivering effective feedback. In addition, evidence from participants in this study is reflected in reports such as the JISC guide: “Effective Assessment in a Digital Age” (2010) and the findings from the EBEAM Project (2012) (Ellis, 201

Recent Developments: The Uniform Arbitration Act

This Article is an overview of recent court decisions that interpret state versions of the Uniform Arbitration Act ( U.A.A. ).\u27 Arbitration statutes patterned after the U.A.A. have been adopted by thirty-four states and the District of Columbia. The goal of this project is to promote uniformity in the interpretation of the U.A.A. by articulating the underlying policies and rationales of recent court decisions interpreting the U.A.A

Recent Developments: The Uniform Arbitration Act

This Article is an overview of recent court decisions that interpret state versions of the Uniform Arbitration Act ( U.A.A. ).\u27 Arbitration statutes patterned after the U.A.A. have been adopted by thirty-four states and the District of Columbia. The goal of this project is to promote uniformity in the interpretation of the U.A.A. by articulating the underlying policies and rationales of recent court decisions interpreting the U.A.A

Antecedents of Job Satisfaction among Intimate Partner Violence Shelter Staff: Coworker Relational Maintenance Strategies, Communication Satisfaction, Burnout and Organizational Commitment

poster abstractThis study sought to extend prior research by examining the prevalence of relational maintenance strategies between coworkers and the impact of such strategies on work related attitude of job satisfaction, organizational commitment, communication satisfaction, and burnout with work. The targeted samples for this research were the employees of a battered women’s shelter located in Indianapolis, Indiana. A questionnaire was constructed that included established scales in order to measure independent and dependent variables. The questionnaires were distributed among the employees and 47.82% agreed to participate in this study. Regression analyses were conducted to analyze the collected data. The findings indicated the importance of assurances and conflict management among staffs in mitigating their job stresses and increasing their personal accomplishment, communication satisfaction, organizational commitment and job satisfaction

Increasing Vaccination Rates of Children up to 24 months old at PMG Milwaukie Family Medicine

Increasing Vaccination Rates of children up to 24 months old at PMG Milwaukie Family Medicine Authors: Justin Ferley DO; Rachel Jackson MD; Aubrey Miller MD; Sebastian Reeve MD; Christelle Serra Van-Brunt DO; Jamie Skreen DO; Jeffrey Sun DO; John Yates MD; Daniel Ruegg MD Introduction: Each year in the US, 42000 adults and 300 children die of vaccine preventable diseases. Yet across the country, clinics – including ours – fall short of the CDC Healthy People 2020 goals of pediatric vaccination rates. This resident-led quality improvement (QI) project aimed to improve our clinic vaccination rates in the under 24mo population. Methods: We identified 3 opportunities for vaccinating children under our clinic current processes: well child visits, medical assistants’ vaccinations visits, and acute care visits. Using a multidisciplinary approach comprising residents, MAs, clinical care coordinators and our nursing quality supervisor, we analyzed our current vaccinations processes and our iterative plan-do-study- cycles (PDSA) included: PDSA #1: standardize our work flow for vaccine reconciliation. PDSA #2: sending personal reminder lebers to patients and overall improving our vaccine recall/ reminder system. PDSA #3: Minimizing provider variation for vaccines given at the 12-18mo WCC. Results: We saw an improvement in our vaccinations rates after personalized reminder letters were sent out, outlining that we do not have a reliable vaccine schedule reminder system. We also noted that different providers created different vaccinations schedules in order to prevent giving 5 vaccines at the same $me – with no system in place to follow on missed vaccination, thus creating missed opportunities and suggesting that we need to implement a clinic-wide vaccine schedule. Conclusion: Our last PDSA cycle was interrupted by current CIVD-19 pandemic. We have however found valuable data to help improve our clinic’s vaccination rates, and plan to continue this project over the next 2 years.https://digitalcommons.psjhealth.org/milwaukie_family/1007/thumbnail.jp

Data consistency in the English Hospital Episodes Statistics database

BACKGROUND: To gain maximum insight from large administrative healthcare datasets it is important to understand their data quality. Although a gold standard against which to assess criterion validity rarely exists for such datasets, internal consistency can be evaluated. We aimed to identify inconsistencies in the recording of mandatory International Statistical Classification of Diseases and Related Health Problems, tenth revision (ICD-10) codes within the Hospital Episodes Statistics dataset in England. METHODS: Three exemplar medical conditions where recording is mandatory once diagnosed were chosen: autism, type II diabetes mellitus and Parkinson's disease dementia. We identified the first occurrence of the condition ICD-10 code for a patient during the period April 2013 to March 2021 and in subsequent hospital spells. We designed and trained random forest classifiers to identify variables strongly associated with recording inconsistencies. RESULTS: For autism, diabetes and Parkinson's disease dementia respectively, 43.7%, 8.6% and 31.2% of subsequent spells had inconsistencies. Coding inconsistencies were highly correlated with non-coding of an underlying condition, a change in hospital trust and greater time between the spell with the first coded diagnosis and the subsequent spell. For patients with diabetes or Parkinson's disease dementia, the code recording for spells without an overnight stay were found to have a higher rate of inconsistencies. CONCLUSIONS: Data inconsistencies are relatively common for the three conditions considered. Where these mandatory diagnoses are not recorded in administrative datasets, and where clinical decisions are made based on such data, there is potential for this to impact patient care

Recovery from COVID-19 and Acute Respiratory Distress Syndrome: The Potential Role of an Intensive Care Unit Recovery Clinic: A Case Report

Background In this case report, we describe the trajectory of recovery of a young, healthy patient diagnosed with coronavirus disease 2019 who developed acute respiratory distress syndrome. The purpose of this case report is to highlight the potential role of intensive care unit recovery or follow-up clinics for patients surviving acute hospitalization for coronavirus disease 2019. Case Presentation Our patient was a 27-year-old Caucasian woman with a past medical history of asthma transferred from a community hospital to our medical intensive care unit for acute hypoxic respiratory failure due to bilateral pneumonia requiring mechanical ventilation (ratio of arterial oxygen partial pressure to fraction of inspired oxygen, 180). On day 2 of her intensive care unit admission, reverse transcription–polymerase chain reaction confirmed coronavirus disease 2019. Her clinical status gradually improved, and she was extubated on intensive care unit day 5. She had a negative test result for coronavirus disease 2019 twice with repeated reverse transcription–polymerase chain reaction before being discharged to home after 10 days in the intensive care unit. Two weeks after intensive care unit discharge, the patient returned to our outpatient intensive care unit recovery clinic. At follow-up, the patient endorsed significant fatigue and exhaustion with difficulty walking, minor issues with sleep disruption, and periods of memory loss. She scored 10/12 on the short performance physical battery, indicating good physical function. She did not have signs of anxiety, depression, or post-traumatic stress disorder through self-report questionnaires. Clinically, she was considered at low risk of developing post–intensive care syndrome, but she required follow-up services to assist in navigating the healthcare system, addressing remaining symptoms, and promoting return to her pre–coronavirus disease 2019 societal role. Conclusion We present this case report to suggest that patients surviving coronavirus disease 2019 with subsequent development of acute respiratory distress syndrome will require more intense intensive care unit recovery follow-up. Patients with a higher degree of acute illness who also have pre-existing comorbidities and those of older age who survive mechanical ventilation for coronavirus disease 2019 will require substantial post–intensive care unit care to mitigate and treat post–intensive care syndrome, promote reintegration into the community, and improve quality of life

Data quality and autism : issues and potential impacts

Introduction Large healthcare datasets can provide insight that has the potential to improve outcomes for patients. However, it is important to understand the strengths and limitations of such datasets so that the insights they provide are accurate and useful. The aim of this study was to identify data inconsistencies within the Hospital Episodes Statistics (HES) dataset for autistic patients and assess potential biases introduced through these inconsistencies and their impact on patient outcomes. The study can only identify inconsistencies in recording of autism diagnosis and not whether the inclusion or exclusion of the autism diagnosis is the error. Methods Data were extracted from the HES database for the period 1st April 2013 to 31st March 2021 for patients with a diagnosis of autism. First spells in hospital during the study period were identified for each patient and these were linked to any subsequent spell in hospital for the same patient. Data inconsistencies were recorded where autism was not recorded as a diagnosis in a subsequent spell. Features associated with data inconsistencies were identified using a random forest classifiers and regression modelling. Results Data were available for 172,324 unique patients who had been recorded as having an autism diagnosis on first admission. In total, 43.7 % of subsequent spells were found to have inconsistencies. The features most strongly associated with inconsistencies included greater age, greater deprivation, longer time since the first spell, change in provider, shorter length of stay, being female and a change in the main specialty description. The random forest algorithm had an area under the receiver operating characteristic curve of 0.864 (95 % CI [0.862 – 0.866]) in predicting a data inconsistency. For patients who died in hospital, inconsistencies in their final spell were significantly associated with being 80 years and over, being female, greater deprivation and use of a palliative care code in the death spell. Conclusions Data inconsistencies in the HES database were relatively common in autistic patients and were associated a number of patient and hospital admission characteristics. Such inconsistencies have the potential to distort our understanding of service use in key demographic groups