The Impact of Cognitive and Implicit Bias on Patient Safety and Quality

Therapeutic quality of exercise interventions for chronic low back pain: a meta-research study using i-CONTENT tool

OBJECTIVE

To assess the therapeutic quality of exercise interventions delivered in chronic low back pain (cLBP) trials using the international Consensus on Therapeutic Exercise aNd Training (i-CONTENT) tool and its inter-rater agreement.

METHODS

We performed a meta-research study, starting from the trials' arms included in the published Cochrane review (2021) 'Exercise therapy for chronic low back pain'. Two pairs of independent reviewers applied the i-CONTENT tool, a standardised tool designed to ensure the quality of exercise therapy intervention, in a random sample of 100 different exercise arms. We assessed the inter-rater agreement of each category calculating the specific agreement. A percentage of 70% was considered satisfactory.

RESULTS

We included 100 arms from 68 randomised controlled trials published between 1991 and 2019. The most assessed exercise types were core strengthening (n=27 arms) and motor control (n=13 arms). Among alternative approaches, yoga (n=11) and Pilates (n=7) were the most representative. Overall, most exercise interventions were rated as having a low risk of ineffectiveness for patient selection (100%), exercise type (92%), outcome type and timing (89%) and qualified supervisor (84%). Conversely, some items showed more uncertainty: the safety of exercise programmes was rated as 'probably low risk' in 58% of cases, exercise dosage in 34% and adherence to exercise in 44%. The items related to exercise dosage (31%) and adherence (29%) had heterogenous judgements, scoring as high risk of ineffectiveness or probably not done. Among all exercise types, Pilates scored best in all domains. A satisfactory specific agreement for 'low risk category' was achieved in all items, except dosage of exercise (60%) and adherence to exercise (54%).

CONCLUSION

Exercises delivered for patients with cLBP generally demonstrate favourable therapeutic quality, although some exercise modalities may present poor therapeutic quality related to dosage and adherence. While the i-CONTENT judgements generally showed satisfactory specific agreement between raters, disagreements arose in evaluating some crucial items.

When common cognitive biases impact debriefing conversations

Healthcare debriefing is a cognitively demanding conversation after a simulation or clinical experience that promotes reflection, underpinned by psychological safety and attention to learner needs. The process of debriefing requires mental processing that engages both "fast" or unconscious thinking and "slow" intentional thinking to be able to navigate the conversation. "Fast" thinking has the potential to surface cognitive biases that impact reflection and may negatively influence debriefer behaviors, debriefing strategies, and debriefing foundations. As a result, negative cognitive biases risk undermining learning outcomes from debriefing conversations. As the use of healthcare simulation is expanding, the need for faculty development specific to the roles bias plays is imperative. In this article, we hope to build awareness about common cognitive biases that may present in debriefing conversations so debriefers have the chance to begin the hard work of identifying and attending to their potential detrimental impacts.

Inherent Bias in Large Language Models: A Random Sampling Analysis

There are mounting concerns regarding inherent bias, safety, and tendency toward misinformation of large language models (LLMs), which could have significant implications in health care. This study sought to determine whether generative artificial intelligence (AI)-based simulations of physicians making life-and-death decisions in a resource-scarce environment would demonstrate bias. Thirteen questions were developed that simulated physicians treating patients in resource-limited environments. Through a random sampling of simulated physicians using OpenAI's generative pretrained transformer (GPT-4), physicians were tasked with choosing only 1 patient to save owing to limited resources. This simulation was repeated 1000 times per question, representing 1000 unique physicians and patients each. Patients and physicians spanned a variety of demographic characteristics. All patients had similar a priori likelihood of surviving the acute illness. Overall, simulated physicians consistently demonstrated racial, gender, age, political affiliation, and sexual orientation bias in clinical decision-making. Across all demographic characteristics, physicians most frequently favored patients with similar demographic characteristics as themselves, with most pairwise comparisons showing statistical significance (P<.05). Nondescript physicians favored White, male, and young demographic characteristics. The male doctor gravitated toward the male, White, and young, whereas the female doctor typically preferred female, young, and White patients. In addition to saving patients with their own political affiliation, Democratic physicians favored Black and female patients, whereas Republicans preferred White and male demographic characteristics. Heterosexual and gay/lesbian physicians frequently saved patients of similar sexual orientation. Overall, publicly available chatbot LLMs demonstrate significant biases, which may negatively impact patient outcomes if used to support clinical care decisions without appropriate precautions.

Judgment Errors in Surgical Care

BACKGROUND

Human error is impossible to eliminate, particularly in systems as complex as healthcare. The extent to which judgment errors in particular impact surgical patient care or lead to harm is unclear.

STUDY DESIGN

The American College of Surgeons NSQIP (2018) procedures from a single institution with 30-day morbidity or mortality were examined. Medical records were reviewed and evaluated for judgment errors. Preoperative variables associated with judgment errors were examined using logistic regression.

RESULTS

Of the surgical patients who experienced a morbidity or mortality, 18% (31 of 170) experienced an error in judgment during their hospitalization. Patients with hepatobiliary procedure (odds ratio [OR] 5.4 [95% CI 1.23 to 32.75], p = 0.002), insulin-dependent diabetes (OR 4.8 [95% CI 1.2 to 18.8], p = 0.025), severe COPD (OR 6.0 [95% CI 1.6 to 22.1], p = 0.007), or with infected wounds (OR 8.2 [95% CI 2.6 to 25.8], p < 0.001) were at increased risk for judgment errors.

CONCLUSIONS

Specific procedure types and patients with certain preoperative variables had higher risk for judgment errors during their hospitalization. Errors in judgment adversely impacted the outcomes of surgical patients who experienced morbidity or mortality in this cohort. Preventing or mitigating errors and closely monitoring patients after an error in judgment is prudent and may improve surgical safety.

Identifying provider, patient and practice factors that shape long-term opioid prescribing for cancer pain: a qualitative study of American and Australian providers

INTRODUCTION

Prescribing long-term opioid therapy is a nuanced clinical decision requiring careful consideration of risks versus benefits. Our goal is to understand patient, provider and context factors that impact the decision to prescribe opioids in patients with cancer.

METHODS

We conducted a secondary analysis of the raw semistructured interview data gathered from 42 prescribers who participated in one of two aligned concurrent qualitative studies in the USA and Australia. We conducted a two-part analysis of the interview: first identifying all factors influencing long-term prescribing and second open coding-related content for themes.

RESULTS

Factors that influence long-term opioid prescribing for cancer-related pain clustered under three key domains (patient-related, provider-related and practice-related factors) each with several themes. Domain 1: Patient factors related to provider-patient continuity, patient personality, the patient's social context and patient characteristics including racial/ethnic identity, housing and socioeconomic status. Domain 2: Provider-related factors centred around provider 'personal experience and expertise', training and time availability. Domain 3: Practice-related factors included healthcare interventions to promote safer opioid practices and accessibility of quality alternative pain therapies.

CONCLUSION

Despite the differences in the contexts of the two countries, providers consider similar patient, provider and practice-related factors when long-term prescribing opioids for patients with cancer. Some of these factors may be categorised as cognitive biases that may intersect in an already disadvantaged patient and exacerbate disparities in the treatment of their pain. A more systematic understanding of these factors and how they impact the quality of care can inform appropriate interventions.

Japanese Internists' Most Memorable Diagnostic Error Cases: A Self-reflection Survey

Objective The etiologies of diagnostic errors among internal medicine physicians are unclear. To understand the causes and characteristics of diagnostic errors through reflection by those involved in them. Methods We conducted a cross-sectional study using a web-based questionnaire in Japan in January 2019. Over a 10-day period, a total of 2,220 participants agreed to participate in the study, of whom 687 internists were included in the final analysis. Participants were asked about their most memorable diagnostic error cases, in which the time course, situational factors, and psychosocial context could be most vividly recalled and where the participant provided care. We categorized diagnostic errors and identified contributing factors (i.e., situational factors, data collection/interpretation factors, and cognitive biases). Results Two-thirds of the identified diagnostic errors occurred in the clinic or emergency department. Errors were most frequently categorized as wrong diagnoses, followed by delayed and missed diagnoses. Errors most often involved diagnoses related to malignancy, circulatory system disorders, or infectious diseases. Situational factors were the most cited error cause, followed by data collection factors and cognitive bias. Common situational factors included limited consultation during office hours and weekends and barriers that prevented consultation with a supervisor or another department. Conclusion Internists reported situational factors as a significant cause of diagnostic errors. Other factors, such as cognitive biases, were also evident, although the difference in clinical settings may have influenced the proportions of the etiologies of the errors that were observed. Furthermore, wrong, delayed, and missed diagnoses may have distinctive associated cognitive biases.

Antiracism Training for Nutrition Professionals in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC): a Promising Strategy to Improve Attitudes, Awareness, and Actions

INTRODUCTION

Women, Infants and Children (WIC) nutrition professionals serve as frontline providers for Black families who disproportionately experience poor perinatal outcomes. With racism driving inequities, we developed an antiracism training tailored to WIC. This report describes the training framework, design, components, and evaluation.

METHODS

In 2019, with feedback from WIC providers, we created a 3-h antiracism training for Philadelphia WIC nutrition professionals that included an identity reflection, key concept definitions, workplace scenario and debrief, a model for repair and disruption, and an action tool. We implemented this training in August 2019 and surveyed WIC staff trainees' awareness of racism and skills to address bias before, immediately after, and 6 months post-training, comparing responses at each time point.

RESULTS

Among 42 WIC staff trainees, mean age was 30 years, 56% were white, 91% female, and 74% had no prior antiracism training. Before the training, 48% felt quite a bit or extremely aware of the role of racism in the healthcare system; this increased to 91% immediately after and was 75% 6 months later. Similar increases in confidence identifying and addressing interactions that perpetuate racism were achieved immediately after training, although the magnitude decreased by 6 months. One-third felt quite a bit or extremely confident the training improved participant interactions at the 6-month timepoint. Qualitative feedback reinforced findings.

DISCUSSION

Results suggest antiracism training may improve WIC nutrition professionals' attitudes, awareness, and actions and could be valuable in efforts to advance health equity. More work is needed to examine how changes translate into improvements for WIC participants.

Inequities in the Diagnosis of Pediatric Appendicitis in Tertiary Children's Hospitals and the Consequences of Delayed Diagnosis

INTRODUCTION

Missed diagnosis (MD) of acute appendicitis is associated with increased risk of appendiceal perforation. This study aimed to investigate whether racial/ethnic disparities exist in the diagnosis of pediatric appendicitis by comparing rates of MD versus single-encounter diagnosis (SED) between racial/ethnic groups.

METHODS

Patients 0-18 y-old admitted for acute appendicitis from February 2017 to December 2021 were identified in the Pediatric Health Information System (PHIS). International Classification of Diseases, 10th Revision, Clinical Modification diagnosis codes for Emergency Department visits within 7 d prior to diagnosis were evaluated to determine whether the encounter represented MD. Generalized mixed models were used to assess the association between MD and patient characteristics. A similar model assessed independent predictors of perforation.

RESULTS

51,164 patients admitted for acute appendicitis were included; 50,239 (98.2%) had SED and 925 (1.8%) had MD. Compared to non-Hispanic White patients, patients of non-Hispanic Black (odds ratio 2.5, 95% confidence interval 2.0-3.1), Hispanic (2.1, 1.8-2.5), and other race/ethnicity (1.6, 1.2-2.1) had higher odds of MD. There was a significant interaction between race/ethnicity and imaging (P < 0.0001). Among patients with imaging, race/ethnicity was not significantly associated with MD. Among patients without imaging, there was an increase in strength of association between race/ethnicity and MD (non-Hispanic Black 3.6, 2.7-4.9; Hispanic 3.3, 2.6-4.1; other 2.0, 1.4-2.8). MD was associated with increased risk of perforation (2.5, 2.2-2.8).

CONCLUSIONS

Minority children were more likely to have MD. Future efforts should aim to mitigate the risk of MD, including implementation of algorithms to standardize the workup of abdominal pain to reduce potential consequences of implicit bias.

Educational strategies in the health professions to mitigate cognitive and implicit bias impact on decision making: a scoping review

BACKGROUND

Cognitive and implicit biases negatively impact clinicians' decision-making capacity and can have devastating consequences for safe, effective, and equitable healthcare provision. Internationally, health care clinicians play a critical role in identifying and overcoming these biases. To be workforce ready, it is important that educators proactively prepare all pre-registration healthcare students for real world practice. However, it is unknown how and to what extent health professional educators incorporate bias training into curricula. To address this gap, this scoping review aims to explore what approaches to teaching cognitive and implicit bias, for entry to practice students, have been studied, and what are the evidence gaps that remain.

METHODS

This scoping review was guided by the Joanna Briggs Institute (JBI) methodology. Databases were searched in May 2022 and included CINAHL, Cochrane, JBI, Medline, ERIC, Embase, and PsycINFO. The Population, Concept and Context framework was used to guide keyword and index terms used for search criteria and data extraction by two independent reviewers. Quantitative and qualitative studies published in English exploring pedagogical approaches and/or educational techniques, strategies, teaching tools to reduce the influence of bias in health clinicians' decision making were sought to be included in this review. Results are presented numerically and thematically in a table accompanied by a narrative summary.

RESULTS

Of the 732 articles identified, 13 met the aim of this study. Most publications originated from the United States (n=9). Educational practice in medicine accounted for most studies (n=8), followed by nursing and midwifery (n=2). A guiding philosophy or conceptual framework for content development was not indicated in most papers. Educational content was mainly provided via face-to-face (lecture/tutorial) delivery (n=10). Reflection was the most common strategy used for assessment of learning (n=6). Cognitive biases were mainly taught in a single session (n=5); implicit biases were taught via a mix of single (n=4) and multiple sessions (n=4).

CONCLUSIONS

A range of pedagogical strategies were employed; most commonly, these were face-to-face, class-based activities such as lectures and tutorials. Assessments of student learning were primarily based on tests and personal reflection. There was limited use of real-world settings to educate students about or build skills in biases and their mitigation. There may be a valuable opportunity in exploring approaches to building these skills in the real-world settings that will be the workplaces of our future healthcare workers.

Cognitive Bias and Dissonance in Surgical Practice: A Narrative Review

A cognitive bias describes "shortcuts" subconsciously applied to new scenarios to simplify decision-making. Unintentional introduction of cognitive bias in surgery may result in surgical diagnostic error that leads to delayed surgical care, unnecessary procedures, intraoperative complications, and delayed recognition of postoperative complications. Data suggest that surgical error secondary to the introduction of cognitive bias results in significant harm. Thus, debiasing is a growing area of research which urges practitioners to deliberately slow decision-making to reduce the effects of cognitive bias.

Evidence-Based Medicine in Otolaryngology Part 14: Falsehood and Bias

OBJECTIVE

Falsehood and bias can have tangible effects, whether related to the "hoax" of Corona virus disease/COVID-19 or the impact of personal protective equipment in city-wide news. The spread of false information requires the diversion of time and resources into rebolstering the truth. Our objective is thus to elucidate types of bias that may influence our daily work, along with ways to mitigate them.

DATA SOURCES

Publications are included which delineate specific aspects of bias or address how to preempt, mitigate, or correct bias, whether conscious or unconscious.

REVIEW METHODS

We discuss: (1) the background and rationale for proactively considering potential sources of bias, (2) relevant definitions and concepts, (3) potential means to limit effects of inaccurate data sources, and (4) evolving frontiers in the management of bias. In doing so, we review epidemiological concepts and susceptibility to bias within study designs, including database studies, observational studies, randomized controlled trials (RCTs), systematic reviews, and meta-analyses. We additionally discuss concepts such as the difference between disinformation and misinformation, differential or nondifferential misclassification, bias toward a null result, and unconscious bias, among others.

CONCLUSION

We have the means to mitigate sources of potential bias in database studies, observational studies, RCTs, and systematic reviews, beginning with education and awareness.

IMPLICATIONS FOR PRACTICE

False information may spread faster than true information, so it is beneficial to understand potential sources of falsehood we face, in order to safeguard our daily impressions and decisions. Awareness of potential sources of falsehood and bias forms the foundation for accuracy in our everyday work.

Psychotic Misdiagnosis of Racially Minoritized Patients: A Case-Based Ethics, Equity, and Educational Exploration

The overdiagnosis and misdiagnosis of racially minoritized groups as having a primary psychotic disorder is one of psychiatry's longest-standing inequities born of real-time clinician racial bias. Evidence suggests that providers assign a diagnosis of schizophrenia and/or schizoaffective disorder according to race more than any other demographic variable, and this inequity persists even in the absence of differences in clinician symptom ratings. This case report describes the journey of one young Black woman through her racialized misdiagnosis of schizophrenia and the process by which interdisciplinary, health equity-minded providers across the spectrum of medical education and practice joined together to provide a culturally informed, systematic rediagnosis of major depressive disorder and post-traumatic stress disorder. Expert discussion is provided by three Black academic psychiatrists with expertise in social justice and health equity. We provide an evidence-based exploration of mechanisms of clinician racial bias and detail how the psychosis misdiagnosis of racially minoritized groups fails medical ethics and perpetuates iatrogenic harm to patients who truly need help with primary mood, trauma, and substance use disorders.

Moving Beyond Detection: Charting a Path to Eliminate Health Care Disparities in Otolaryngology

The coronavirus pandemic has illuminated long-standing inequities in America's health care system and societal structure. While numerous studies have identified health care disparities within our specialty, few have progressed beyond detection. Otolaryngologists have the opportunity and the responsibility to act. Within this article, leaders from otolaryngology share their experience and perspective on health care disparities, including (1) a discussion of disparities in otolaryngology, (2) a summary of health care system design and incentives, (3) an overview of implicit bias, and (4) practical recommendations for providers to advance their awareness of health care disparities and the actions to mitigate them. While the path forward can be daunting, it should not be a deterrent. Throughout the course of this article, numerous resources are provided to support these efforts. To move ahead, our specialty needs to advance our level of understanding and develop, implement, and disseminate successful interventions toward the goal of eliminating health care disparities.

Cognitive Bias and Diagnostic Errors among Physicians in Japan: A Self-Reflection Survey

This cross-sectional study aimed to clarify how cognitive biases and situational factors related to diagnostic errors among physicians. A self-reflection questionnaire survey on physicians’ most memorable diagnostic error cases was conducted at seven conferences: one each in Okayama, Hiroshima, Matsue, Izumo City, and Osaka, and two in Tokyo. Among the 147 recruited participants, 130 completed and returned the questionnaires. We recruited primary care physicians working in various specialty areas and settings (e.g., clinics and hospitals). Results indicated that the emergency department was the most common setting (47.7%), and the highest frequency of errors occurred during night-time work. An average of 3.08 cognitive biases was attributed to each error. The participants reported anchoring bias (60.0%), premature closure (58.5%), availability bias (46.2%), and hassle bias (33.1%), with the first three being most frequent. Further, multivariate logistic regression analysis for cognitive bias showed that emergency room care can easily induce cognitive bias (adjusted odds ratio 3.96, 95% CI 1.16−13.6, p-value = 0.028). Although limited to a certain extent by its sample collection, due to the sensitive nature of information regarding physicians’ diagnostic errors, this study nonetheless shows correlations with environmental factors (emergency room care situations) that induce cognitive biases which, in turn, cause diagnostic errors.

Investigating Healthcare Provider Bias Toward Patients Who Use Drugs Using a Survey-based Implicit Association Test: Pilot Study

OBJECTIVES

Negative bias against people who use illicit drugs adversely affects the care that they receive throughout the hospital. We hypothesized that emergency providers would display stronger negative bias toward these patients due to life-threatening contexts in which they treat this population. We also hypothesized that negative implicit bias would be associated with negative explicit bias.

METHODS

Faculty, nurses, and trainees at a midwestern tertiary care academic hospital were invited (June 26, 2019-September 5, 2019) to complete an online implicit association test and explicit bias survey.

RESULTS

Mean implicit association test results did not vary across demographics (n = 79). There were significant differences in explicit bias scores between departments regarding whether patients who use drugs deserve quality healthcare access (P = 0.017). We saw no significant associations between implicit and explicit bias scores.

CONCLUSION

Though limited by sample size, the results indicate that emergency and obstetrics/gynecology providers display more negative explicit bias toward this patient population than other providers.

Predicting Future Care Requirements Using Machine Learning for Pediatric Intensive and Routine Care Inpatients

Supplemental Digital Content is available in the text.

OBJECTIVES:

Develop and compare separate prediction models for ICU and non-ICU care for hospitalized children in four future time periods (6–12, 12–18, 18–24, and 24–30 hr) and assess these models in an independent cohort and simulated children’s hospital.

DESIGN:

Predictive modeling used cohorts from the Health Facts database (Cerner Corporation, Kansas City, MO).

SETTING:

Children hospitalized in ICUs.

PATIENTS:

Children with greater than or equal to one ICU admission (n = 20,014) and randomly selected routine care children without ICU admission (n = 20,130) from 2009 to 2016 were used for model development and validation. An independent 2017–2018 cohort consisted of 80,089 children.

INTERVENTIONS:

None.

MEASUREMENT AND MAIN RESULTS:

Initially, we undersampled non-ICU patients for development and comparison of the models. We randomly assigned 64% of patients for training, 8% for validation, and 28% for testing in both clinical groups. Two additional validation cohorts were tested: a simulated children’s hospitals and the 2017–2018 cohort. The main outcome was ICU care or non-ICU care in four future time periods based on physiology, therapy, and care intensity. Four independent, sequential, and fully connected neural networks were calibrated to risk of ICU care at each time period. Performance for all models in the test sample were comparable including sensitivity greater than or equal to 0.727, specificity greater than or equal to 0.885, accuracy greater than 0.850, area under the receiver operating characteristic curves greater than or equal to 0.917, and all had excellent calibration (all R²s > 0.98). Model performance in the 2017–2018 cohort was sensitivity greater than or equal to 0.545, specificity greater than or equal to 0.972, accuracy greater than or equal to 0.921, area under the receiver operating characteristic curves greater than or equal to 0.946, and R²s greater than or equal to 0.979. Performance metrics were comparable for the simulated children’s hospital and for hospitals stratified by teaching status, bed numbers, and geographic location.

CONCLUSIONS:

Machine learning models using physiology, therapy, and care intensity predicting future care needs had promising performance metrics. Notably, performance metrics were similar as the prediction time periods increased from 6–12 hours to 24–30 hours.

Qualitative analysis of medical student reflections on the implicit association test

INTRODUCTION

Health professions educators use the Implicit Association Test (IAT) to raise awareness of implicit bias in learners, often engendering strong emotional reactions. Once an emotional reaction ensues, the gap between learner reaction and strategy identification remains relatively underexplored. To better understand how learners may identify bias mitigation strategies, the authors explored perspectives of medical students during the clinical portion of their training to the experience of taking the IAT, and the resulting feedback.

METHODS

Medical students in Bronx, NY, USA, participated in one 90-minute session on implicit bias. The focus of analysis for this study is the post-session narrative assignment inviting them to take the race-based IAT and describe both their reaction to and the implications of their IAT results on their future work as physicians. The authors analysed 180 randomly selected de-identified essays completed from 2013 to 2019 using an approach informed by constructivist grounded theory methodology.

RESULTS

Medical students with clinical experience respond to the IAT through a continuum that includes their reactions to the IAT, acceptance of bias along with a struggle for strategy identification, and identification of a range of strategies to mitigate the impact of bias on clinical care. Results from the IAT invoked deep emotional reactions in students, and facilitated a questioning of previous assumptions, leading to paradigm shifts. An unexpected contrast to these deep and meaningful reflections was that students rarely chose to identify a strategy, and those that did provided strategies that were less nuanced.

CONCLUSION

Despite accepting implicit bias in themselves and desiring to provide unbiased care, students struggled to identify bias mitigation strategies, a crucial prerequisite to skill development. Educators should endeavour to expand instruction to bridge the chasm between students' acceptance of bias and skill development in management of bias to improve the outcomes of their clinical encounters.

Demographic Characteristics of Children Diagnosed with Bacterial Tracheitis

OBJECTIVES

Examine the presentation and clinical course of patients with bacterial tracheitis (BT). Identify if socioeconomic differences exist among children who present with BT.

METHODS

This was a retrospective case series from a tertiary care pediatric medical center. The study group included patients less than 18 years old who were diagnosed with BT from January 2011 to March 2019. Patients with a tracheostomy and those who developed BT after prolonged hospitalization were excluded. Patient demographics were compared with the demographics of the counties surrounding the hospital.

RESULTS

33 patients with BT met inclusion criteria. The most common presenting symptoms were difficulty breathing, stridor, and sore throat (81.8% each), followed by cough (78.8%). Median length of stay was 3 days [interquartile range (IQR):2-4]. 19 patients (57.5%) were admitted to the intensive care unit. Intubation was required for 13 patients (39.4%), for a median length of 2 days [IQR:2-2]. Methicillin sensitive staphylococcus aureus was the most common bacterial etiology (33%). Mean presenting age was 8.58 years [95% confidence interval:7.3-9.9] and 14 patients were female (42.4%). 31 patients were white (93.9%), 1 was black (3%), and 1 was Hispanic (3%). BT patients were more likely to have private insurance compared to comparison (81.8% vs 63.4%, P < .001).

CONCLUSION

Children who presented with BT were more likely to be privately insured than a comparison population.

Contributing factors to severe complications after liver resection: an aggregate root cause analysis in 105 consecutive patients

Background

The aggregate root cause analysis (AggRCA) was designed to improve the understanding of system vulnerabilities contributing to patient harm, including surgical complications. It remains poorly used due to methodological complexity and resource limitations. This study aimed to identify the main patterns contributing to severe complications after liver resection using an AggRCA.

Methods

This was a retrospective qualitative study aimed to identify the main patterns contributing to severe complications, defined as strictly higher than grade IIIa according to the Clavien-Dindo classification within the first 90 days after liver resection. All consecutive severe complications that occurred between January 1st, 2018 and December 31st, 2019 were identified from an electronic database and included in an AggRCA. This included a structured morbidity and mortality review (MMR) reporting tool based on 50 contributory factors adapted from 6 ALARM categories: "Patient", "Tasks", "Individual staff", "Team", "Work environment", and "Management and Institutional context". Data resulting from individual-participant root cause analysis (RCA) of single-cases were validated collectively then aggregated. The main patterns were suggested from the contributory factors reported in more than half of the cases.

Results

In 105 consecutive liver resection cases, 15 patients (14.3%) developed severe postoperative complications, including 5 (4.8%) who died. AggRCA resulted in the identification of 36 contributory factors. Eight contributory factors were reported in more than half of the cases and were compiled in three entangled patterns: (1) Disrupted perioperative process, (2) Unplanned intraoperative change, (3) Ineffective communication.

Conclusion

A pragmatic aggregated RCA process improved our understanding of system vulnerabilities based on the analysis of a limited number of events and a reasonable resource intensity. The identification of patterns contributing to severe complications lay the rationale of future contextualized safety interventions beyond the scope of liver resections.

Exploring acute care nurses' decision-making in psychotropic PRN use in hospitalised people with dementia

AIMS AND OBJECTIVES

To understand how acute care nurses make decisions about administering "as-needed" (PRN) psychotropic medications to hospitalised people with dementia (PWD).

BACKGROUND

Behavioural and psychological symptoms of dementia occur in approximately 75% of PWD admitted to acute care. Despite this, few studies provide insight into the use and prevalence of psychotropic use in acute care.

DESIGN

A qualitative descriptive design was used to explore acute care nurses' decision-making about PRN psychotropic medication administration to PWD.

METHODS

Semi-structured interviews were conducted with eight nurses from three acute care medical units in a large tertiary hospital in Western Canada. Conventional content analysis was used to develop three themes that reflect nurses' decision-making related to administering PRNs to hospitalised PWD. COREQ guidelines were followed.

RESULTS

Three themes of legitimising control, making the patient fit and future telling were developed. Legitimising control involved medicating undesirable behaviours to promote the nurses' perceptions of safety. Making the patient fit involved maintaining routine and order. Future telling involved pre-emptively medicating to prevent undesirable behaviours from escalating. Nurses provided little to no mention of assessing for physical causes contributing to behaviours. PRNs were seen as a reasonable alternative to physical restraints and were frequently used. Additionally, organisational and unit routines greatly influenced nurses' decision-making.

CONCLUSIONS

These findings provide an initial understanding of how nurses make decisions to administer PRN medications to hospitalised older people and may inform prescribing practices. There were novel findings about the lack of assessment prior to PRN administration, and the nurses' collective response in decision-making. More research is needed to better understand the complexities of nurses' decision-making, to assist in the development of interventions for nursing practice.

COVID-19 pandemic and health care disparities in head and neck cancer: Scanning the horizon

The COVID-19 pandemic has profoundly disrupted head and neck cancer (HNC) care delivery in ways that will likely persist long term. As we scan the horizon, this crisis has the potential to amplify preexisting racial/ethnic disparities for patients with HNC. Potential drivers of disparate HNC survival resulting from the pandemic include (a) differential access to telemedicine, timely diagnosis, and treatment; (b) implicit bias in initiatives to triage, prioritize, and schedule HNC-directed therapy; and (c) the marked changes in employment, health insurance, and dependent care. We present four strategies to mitigate these disparities: (a) collect detailed data on access to care by race/ethnicity, income, education, and community; (b) raise awareness of HNC disparities; (c) engage stakeholders in developing culturally appropriate solutions; and (d) ensure that surgical prioritization protocols minimize risk of racial/ethnic bias. Collectively, these measures address social determinants of health and the moral imperative to provide equitable, high-quality HNC care.

The Impact of HIV Pre-Exposure Prophylaxis (PrEP) Counseling on PrEP Knowledge and Attitudes Among Women Seeking Family Planning Care

Background: Adult women account for >19% of all new HIV diagnoses in the United States, but receive only 7%-8% of new prescriptions for HIV pre-exposure prophylaxis (PrEP), and report low awareness of PrEP even within communities with high risk of HIV transmission. Family planning (FP) programs are a promising, underutilized setting for the provision of PrEP counseling to women, especially the 40% of women FP clients who receive no other form of health care. This study tested the feasibility of integrating routine PrEP counseling in a high-volume FP clinic with no previous PrEP experience. Materials and Methods: Trained FP counselors at a FP clinic in Philadelphia surveyed women about knowledge and attitudes related to PrEP, then provided a brief PrEP counseling intervention. After counseling, knowledge and attitudes were reassessed. In response to counselor requests, we developed the Women's PrEP Counseling Checklist (WPCC) tool to structure and standardize each counseling session. We then compared baseline and postintervention data among participants overall and in two cohorts: those receiving unguided counseling (initial design) and those receiving WPCC-guided counseling (enhanced design). Results: Both cohorts displayed significant (p < 0.0001) gains in PrEP knowledge and acceptability after counseling. Participants receiving WPCC-guided counseling reported higher knowledge scores postintervention (p = 0.031) and greater gains in PrEP acceptability (p = 0.000) than their peers receiving unguided counseling. Conclusions: Introducing PrEP counseling into routine FP care is feasible, and effectively improves knowledge and attitudes about PrEP within a large population of women, broadening access to PrEP on individual and population levels. The WPCC tool both enhances the impact of counseling on patients and reduces the work burden on providers.

Patient Safety/Quality Improvement Primer, Part II: Prevention of Harm Through Root Cause Analysis and Action (RCA2)

With increasing emphasis on patient safety/quality improvement, health care systems are mirroring industry in the implementation of root cause analysis (RCA) for the identification and mitigation of errors. RCA uses a team approach with emphasis on the system, as opposed to the individual, to accrue empirical data on what happened and why. While many otolaryngologists have a broad understanding of RCA, practical experience is often lacking. Part II of this patient safety/quality improvement primer investigates the manner in which RCA is utilized in the prevention of medical errors. Attention is given to identifying system errors, recording adverse events, and determining which events warrant RCA. The primer outlines steps necessary to conduct an effective RCA, with emphasis placed on actions that arise from the RCA process through the root cause analysis and action (or RCA²) rubric. In addition, the article provides strategies for the implementation of RCA into clinical practice and medical education.

How do clinicians rate patient's performance status using the ECOG performance scale? A mixed-methods exploration of variability in decision-making in oncology

Background

Medical decisions made by oncology clinicians have serious implications, even when made collaboratively with the patient. Clinicians often use the Eastern Clinical Oncology Group (ECOG) performance status (PS) scores to help them make treatment-related decisions.

Methods

The current study explores the variability of the ECOG score when applied to 12 predetermined specially designed clinical case vignettes presented to a group of oncology clinicians (n = 72). The quantitative analysis included evaluation of variability of ECOG PS scores and exploration of rater and patient-related factors which may influence the final ECOG rating. In-depth interviews were conducted with oncology clinicians to ascertain factors that they felt were important while making treatment-related decisions. Basic and global themes were generated following qualitative data analysis.

Results

Quantitative results showed that there was poor agreement in ECOG rating between raters. Overall concordance with the gold standard rating ranged between 19.4% and 56.9% for the vignettes. Moreover, patients deemed to have socially desirable qualities (p < 0.004) were rated to have better PS and women patients (p < 0.004) to have worse PS. Clinicians having international work experience had increased concordance with ECOG PS rating. Qualitative results showed that ‘perceived socio-economic background of the patient’, ‘age of the patient’, ‘patient’s and family’s preferences’ and ‘past treatment response’ were the major themes highlighted by respondents that influenced the treatment-related decisions made by clinicians.

Conclusion

There is considerable variability in ECOG PS determined by clinicians. Decision-making in oncology is complex, multifactorial and is influenced by rater and patient-related factors.