What is Health Data Science? An Introduction for Health Care Professionals and Clinicians

Health Data Science is a dynamic multi-disciplinary field that uses statistics, algorithms, and technology to construct insights from available data to address complex healthcare problems. This expanding field of practice requires diverse interdisciplinary teams that combine their strengths in clinical, technical, programming and operations. This webinar features a clinician and a data scientist who will share their insights about career opportunities in this expanding field of practice. Presentation: 53:1

Introduction to IPE: A School-Wide Orientation Initiative

Session Objectives: Present an innovative approach to orienting new students from various healthcare disciplines on Interprofessional Educa(on (IPE). Discuss strategies to shape incoming students’ attitudes toward working in teams. Discuss challenges and opportunities in coordinating a large-­‐scale IPE event. Synopsis Interprofessional experiences are a vital part of healthcare education, and early introduction can positively impact students’ attitudes and knowledge about their team members’ roles. While students at academic health centers (AHC’s) have opportunites to engage in IPE, such opportunites can be overwhelming given significant challenges to coordination and implementation. Addressing these challenges, an interprofessional team at Jefferson School of Health Professions in Philadelphia developed a large-­‐scale event where students could meet other healthcare students and be oriented to IPE as a community. This session discusses the pragmatic and conceptual challenges of the two month planning process of the orientation event, its implementation, and outcomes

AAEM Position Paper TISSUE PLASMINOGEN ACTIVATOR AND STROKE: REVIEW OF THE LITERATURE FOR THE CLINICIAN

, Abstract-Background: Alteplase (tPA) is a United States (US) Food and Drug Administration-approved treatment for acute ischemic stroke, though there are significant barriers to thrombolytic use, including Emergency Physicians' (EPs') concern for level of supporting evidence. Study Objectives: To review the medical literature on the topic of acute cerebrovascular accident (CVA) management and to offer EPs evidence-based recommendations for patients who present to the Emergency Department with an acute CVA. Methods: A MEDLINE literature search from 1990 to 2011 and limited to human studies written in English for articles with keywords of: CVA AND (thromboly* OR alteplase). Guideline statements and non-systematic reviews were excluded. Studies targeting differences between specific populations (males vs. females) were excluded. Studies identified then underwent a structured review from which results could be evaluated. Results: There were 407 papers on thrombolytic use screened, and 15 appropriate articles were rigorously reviewed and recommendations given. Conclusions: tPA is an effective treatment for stroke when given in prepared stroke centers; EPs and hospitals treating stroke patients with tPA need to have the necessary resources in place and a specific plan for timely care of patients with acute stroke.

The long-term impact of COVID-19 on nursing: An e-panel discussion from the International Network for Child and Family Centred Care

Aim To explore the International Network for Child and Family Centred Care (INCFCC) members\u27 experiences and views on the long-term impact of COVID-19 on the nursing workforce. Background On the 11 March 2020, the World Health Organization declared COVID-19 a global pandemic. While some countries adopted a herd immunity approach, others imposed stricter measures to reduce the transmission of the virus. Hospitals in some countries faced an avalanche of extremely sick admissions, whereas others experienced an early surge in cases or were able to control the spread. Design Discursive paper. Methods A web-based survey was e-mailed to 63 INCFCC members from 28 March to 30 April 2022, as an invitation to share their experience concerning the long-term impact of COVID-19 on their role as a nurse educator, clinician or researcher. Results Sixteen members responded, and the responses were grouped under the themes stress and anxiety, safe staffing and pay, doing things differently, impact on research, impact on teaching and learning, impact on clinical practice, nursing made visible and lessons for the future. Conclusion The INCFCC members provided their views and highlighted the impact on their role in nursing education, administration, research and/or practice. This discussion of international perspectives on the similarities and differences imposed by COVID-19 found that the impact was wide-ranging and prolonged. The overarching theme revealed the resilience of the participating members in the face of COVID-19. Relevance to Clinical Practice This study highlights the importance of all areas of nursing, be it in academia or in clinical practice, to work together to learn from the present and to plan for the future. Future work should focus on supporting organizational and personal resiliency and effective interventions to support the nursing workforce both during a disaster and in the recovery phase. Nursing workforce resilience in the face of COVID-19

Women in Health Data Science and Statistics

Opportunities are expanding for women interested in health data science. This panel of leading professionals from academia and industry will highlight the accomplishments, perspectives and varied roles available for data professionals in the healthcare sector. Learn how to leverage your skills and talents into this expanding and dynamic field. Presentation: 58:4

Crisis resolution teams for people experiencing mental health crises: the CORE mixed-methods research programme including two RCTs

Background Crisis resolution teams (CRTs) seek to avert hospital admissions by providing intensive home treatment for people experiencing a mental health crisis. The CRT model has not been highly specified. CRT care is often experienced as ending abruptly and relapse rates following CRT discharge are high. Aims The aims of CORE (Crisis resolution team Optimisation and RElapse prevention) workstream 1 were to specify a model of best practice for CRTs, develop a measure to assess adherence to this model and evaluate service improvement resources to help CRTs implement the model with high fidelity. The aim of CORE workstream 2 was to evaluate a peer-provided self-management programme aimed at reducing relapse following CRT support. Methods Workstream 1 was based on a systematic review, national CRT manager survey and stakeholder qualitative interviews to develop a CRT fidelity scale through a concept mapping process with stakeholders (n = 68). This was piloted in CRTs nationwide (n = 75). A CRT service improvement programme (SIP) was then developed and evaluated in a cluster randomised trial: 15 CRTs received the SIP over 1 year; 10 teams acted as controls. The primary outcome was service user satisfaction. Secondary outcomes included CRT model fidelity, catchment area inpatient admission rates and staff well-being. Workstream 2 was a peer-provided self-management programme that was developed through an iterative process of systematic literature reviewing, stakeholder consultation and preliminary testing. This intervention was evaluated in a randomised controlled trial: 221 participants recruited from CRTs received the intervention and 220 did not. The primary outcome was re-admission to acute care at 1 year of follow-up. Secondary outcomes included time to re-admission and number of days in acute care over 1 year of follow-up and symptoms and personal recovery measured at 4 and 18 months’ follow-up. Results Workstream 1 – a 39-item CRT fidelity scale demonstrated acceptability, face validity and promising inter-rater reliability. CRT implementation in England was highly variable. The SIP trial did not produce a positive result for patient satisfaction [median Client Satisfaction Questionnaire score of 28 in both groups at follow-up; coefficient 0.97, 95% confidence interval (CI) –1.02 to 2.97]. The programme achieved modest increases in model fidelity. Intervention teams achieved lower inpatient admission rates and less inpatient bed use. Qualitative evaluation suggested that the programme was generally well received. Workstream 2 – the trial yielded a statistically significant result for the primary outcome, in which rates of re-admission to acute care over 1 year of follow-up were lower in the intervention group than in the control group (odds ratio 0.66, 95% CI 0.43 to 0.99; p = 0.044). Time to re-admission was lower and satisfaction with care was greater in the intervention group at 4 months’ follow-up. There were no other significant differences between groups in the secondary outcomes. Limitations Limitations in workstream 1 included uncertainty regarding the representativeness of the sample for the primary outcome and lack of blinding for assessment. In workstream 2, the limitations included the complexity of the intervention, preventing clarity about which were effective elements. Conclusions The CRT SIP did not achieve all its aims but showed potential promise as a means to increase CRT model fidelity and reduce inpatient service use. The peer-provided self-management intervention is an effective means to reduce relapse rates for people leaving CRT care. Study registration The randomised controlled trials were registered as Current Controlled Trials ISRCTN47185233 and ISRCTN01027104. The systematic reviews were registered as PROSPERO CRD42013006415 and CRD42017043048. Funding The National Institute for Health Research Programme Grants for Applied Research programme

"Keeping Control": a user‐led exploratory study of mental health service user experiences of targeted violence and abuse in the context of adult safeguarding in England

The situation for people with mental health problems as a group of disabled people who experience targeted violence and abuse is a complex one. Disabled people, particularly those with mental health problems, are at higher risk of targeted violence and hostility with few effective evidence‐based prevention and protection strategies. Achieving effective safeguarding for adults with mental health problems is characterised by differential attitudes to and understandings of abuse by safeguarding practitioners, as well as systemic issues arising from multi‐agency working. “Keeping Control” was a 16‐month user‐led, co‐produced exploratory qualitative study into service user experiences of targeted violence and abuse that was examined in the context of Care Act 2014 adult safeguarding reforms in England. User‐controlled interviews of mental health service users (N = 23) explored their experiences and concepts of targeted violence and abuse, prevention and protection. Preliminary findings from these interviews were discussed in adult safeguarding and mental health stakeholder and practitioner focus groups (N = 46). The data were also discussed via two facilitated Twitter chats (responses N = 585 and N = 139). Mental health service users’ experiences and concepts of risk from others, vulnerability and neglect can be different to those of practitioners but should be central to adult safeguarding. Histories of trauma, multi‐factorial abuse; living with fear and stigma as well as mental distress; the effects of “psychiatric disqualification” and individual blaming should be addressed in adult safeguarding in mental health. Fragmented responses from services can mean a person becomes “lost in the process”. Staff can feel disempowered, afraid or lacking in confidence to “speak up” for individuals in complex service systems with poor communication and lines of accountability. Adult safeguarding practitioners and stakeholders need to be confident, accessible and respond quickly to service users reporting incidents of targeted violence and abuse particularly in closed environments such as wards or supported housing

Developing new ways of measuring the quality and impact of ambulance service care: the PhOEBE mixed-methods research programme

Background Ambulance service quality measures have focused on response times and a small number of emergency conditions, such as cardiac arrest. These quality measures do not reflect the care for the wide range of problems that ambulance services respond to and the Prehospital Outcomes for Evidence Based Evaluation (PhOEBE) programme sought to address this. Objectives The aim was to develop new ways of measuring the impact of ambulance service care by reviewing and synthesising literature on prehospital ambulance outcome measures and using consensus methods to identify measures for further development; creating a data set linking routinely collected ambulance service, hospital and mortality data; and using the linked data to explore the development of case-mix adjustment models to assess differences or changes in processes and outcomes resulting from ambulance service care. Design A mixed-methods study using a systematic review and synthesis of performance and outcome measures reported in policy and research literature; qualitative interviews with ambulance service users; a three-stage consensus process to identify candidate indicators; the creation of a data set linking ambulance, hospital and mortality data; and statistical modelling of the linked data set to produce novel case-mix adjustment measures of ambulance service quality. Setting East Midlands and Yorkshire, England. Participants Ambulance services, patients, public, emergency care clinical academics, commissioners and policy-makers between 2011 and 2015. Interventions None. Main outcome measures Ambulance performance and quality measures. Data sources Ambulance call-and-dispatch and electronic patient report forms, Hospital Episode Statistics, accident and emergency and inpatient data, and Office for National Statistics mortality data. Results Seventy-two candidate measures were generated from systematic reviews in four categories: (1) ambulance service operations (n = 14), (2) clinical management of patients (n = 20), (3) impact of care on patients (n = 9) and (4) time measures (n = 29). The most common operations measures were call triage accuracy; clinical management was adherence to care protocols, and for patient outcome it was survival measures. Excluding time measures, nine measures were highly prioritised by participants taking part in the consensus event, including measures relating to pain, patient experience, accuracy of dispatch decisions and patient safety. Twenty experts participated in two Delphi rounds to refine and prioritise measures and 20 measures scored ≥ 8/9 points, which indicated good consensus. Eighteen patient and public representatives attending a consensus workshop identified six measures as important: time to definitive care, response time, reduction in pain score, calls correctly prioritised to appropriate levels of response, proportion of patients with a specific condition who are treated in accordance with established guidelines, and survival to hospital discharge for treatable emergency conditions. From this we developed six new potential indicators using the linked data set, of which five were constructed using case-mix-adjusted predictive models: (1) mean change in pain score; (2) proportion of serious emergency conditions correctly identified at the time of the 999 call; (3) response time (unadjusted); (4) proportion of decisions to leave a patient at scene that were potentially inappropriate; (5) proportion of patients transported to the emergency department by 999 emergency ambulance who did not require treatment or investigation(s); and (6) proportion of ambulance patients with a serious emergency condition who survive to admission, and to 7 days post admission. Two indicators (pain score and response times) did not need case-mix adjustment. Among the four adjusted indicators, we found that accuracy of call triage was 61%, rate of potentially inappropriate decisions to leave at home was 5–10%, unnecessary transport to hospital was 1.7–19.2% and survival to hospital admission was 89.5–96.4% depending on Clinical Commissioning Group area. We were unable to complete a fourth objective to test the indicators in use because of delays in obtaining data. An economic analysis using indicators (4) and (5) showed that incorrect decisions resulted in higher costs. Limitations Creation of a linked data set was complex and time-consuming and data quality was variable. Construction of the indicators was also complex and revealed the effects of other services on outcome, which limits comparisons between services. Conclusions We identified and prioritised, through consensus processes, a set of potential ambulance service quality measures that reflected preferences of services and users. Together, these encompass a broad range of domains relevant to the population using the emergency ambulance service. The quality measures can be used to compare ambulance services or regions or measure performance over time if there are improvements in mechanisms for linking data across services. Future work The new measures can be used to assess different dimensions of ambulance service delivery but current data challenges prohibit routine use. There are opportunities to improve data linkage processes and to further develop, validate and simplify these measures. Funding The National Institute for Health Research Programme Grants for Applied Research programme