Evaluations of virtual exercise programmes for adults with mobility limitations: a scoping review protocol incorporating an equity lens to inform the development of strategies to optimise participation of under-represented groups.

INTRODUCTION: For individuals with mobility limitations, virtual exercise programmes can address the challenges of in-person participation in community exercise programmes. A synthesis of studies of virtual exercise programmes targeting mobility limitations provided outside of conventional rehabilitation services and strategies used to optimise equitable access and inclusivity in these programmes is lacking. We aim to characterise evaluations of virtual exercise programmes for adults with mobility limitations, and the nature of and extent to which equity, diversity and inclusion considerations are integrated in the research process. METHODS AND ANALYSIS: A scoping review following a six-stage methodological framework, including a consultation exercise, is proposed. A comprehensive strategy will be used to search Medline, Embase, PEDro, CINAHL and Scopus to identify peer-reviewed studies evaluating virtual exercise programmes for adults with mobility limitations living in the community. Three trained reviewers will select studies independently. Data (eg, study methodology, programme structure and content, participant characteristics) will be extracted using a standardised form, and collated and summarised using quantitative and qualitative methods. The PROGRESS-Plus and International Classification of Functioning, Disability and Health frameworks will be used to classify participant characteristics and study outcomes, respectively. During the consultation exercise, key knowledge users, including exercise participants, programme providers and coordinators, and members of community organisations for persons living with disabilities and under-represented groups, will be asked to provide insights regarding the applicability of review findings. A directed content analysis of data from the consultation exercise will be performed. ETHICS AND DISSEMINATION: The research ethics board at the University of Toronto approved the consultation exercise. Findings will be disseminated through peer-reviewed publications and conference presentations. Findings will enhance understanding of current research evaluating virtual exercise programmes and inform future research and strategies for promoting equitable access and outcomes for individuals with mobility limitations. REGISTRATION DETAILS: https://doi.org/10.17605/OSF.IO/X5JMA.

Guideline concordance for timely chest imaging after new presentations of dyspnoea or haemoptysis in primary care: a retrospective cohort study.

BACKGROUND: Guidelines recommend urgent chest X-ray for newly presenting dyspnoea or haemoptysis but there is little evidence about their implementation. METHODS: We analysed linked primary care and hospital imaging data for patients aged 30+ years newly presenting with dyspnoea or haemoptysis in primary care during April 2012 to March 2017. We examined guideline-concordant management, defined as General Practitioner-ordered chest X-ray/CT carried out within 2 weeks of symptomatic presentation, and variation by sociodemographic characteristic and relevant medical history using logistic regression. Additionally, among patients diagnosed with cancer we described time to diagnosis, diagnostic route and stage at diagnosis by guideline-concordant status. RESULTS: In total, 22 560/162 161 (13.9%) patients with dyspnoea and 4022/8120 (49.5%) patients with haemoptysis received guideline-concordant imaging within the recommended 2-week period. Patients with recent chest imaging pre-presentation were much less likely to receive imaging (adjusted OR 0.16, 95% CI 0.14-0.18 for dyspnoea, and adjusted OR 0.09, 95% CI 0.06-0.11 for haemoptysis). History of chronic obstructive pulmonary disease/asthma was also associated with lower odds of guideline concordance (dyspnoea: OR 0.234, 95% CI 0.225-0.242 and haemoptysis: 0.88, 0.79-0.97). Guideline-concordant imaging was lower among dyspnoea presenters with prior heart failure; current or ex-smokers; and those in more socioeconomically disadvantaged groups.The likelihood of lung cancer diagnosis within 12 months was greater among the guideline-concordant imaging group (dyspnoea: 1.1% vs 0.6%; haemoptysis: 3.5% vs 2.7%). CONCLUSION: The likelihood of receiving urgent imaging concords with the risk of subsequent cancer diagnosis. Nevertheless, large proportions of dyspnoea and haemoptysis presenters do not receive prompt chest imaging despite being eligible, indicating opportunities for earlier lung cancer diagnosis.

Occupational Therapists in Patient Navigation: A Scoping Review of the Literature.

This review seeks to understand the literature on patient navigator programs (PNPs) that employ occupational therapists (OTs), including the role (conceptualization), functions (operationalization) of OTs who work as patient navigators (PNs) and the settings and populations they serve. This review also mapped the role of PNs to the 2021 Competencies for Occupational Therapists in Canada. Scoping review methodology by Arksey and O'Malley (2005) was employed. Data were analyzed thematically and numerically to identify frequent patterns. Ten articles were included. Within PNPs, OTs worked in hospitals and communities, but their role was rarely well-defined. Five competency domains (i.e., communication and collaboration, culture, equity and justice, excellence in practice, professional responsibility, and engagement with the profession) were evident in existing PNPs that included OTs. This review supports the increasing interest in OTs as PNs by demonstrating the alignment between the OT competencies and roles and functions of OTs working within PNPs.

A Flow Cytometry-Based Assessment of the Genomic Size and Ploidy Level of Wild Musa Species in India.

The genome size variation is an important attribute in evolutionary and species characterization. Musa L. is regarded as one of the taxonomically complicated genera within the order Zingiberales, with more than 75 species from wild seeded to seedless cultivars that may be diploid, triploid or tetraploid. The knowledge of total nuclear DNA content in terms of genome size and ploidy level in wild species of Musa is absolutely important in evolutionary and genomic studies. METHODS: In this paper, chromosome spreading was performed via protoplast isolation and a fast air-dry dropping method and flow cytometry were used with Raphanus sativus L. (Brassicaceae) as a standard for ploidy and genome size estimation. RESULTS: The results showed that genome size (2C) varied amongst Musa species, based on the ratio of G1 peak positions. The lowest genome size (2C) was found in M. balbisiana var. andamanica (1.051 ± 0.060 pg) and the highest genome size (2C) was recorded for Musa ABB.cv. Meitei-hei (1.812 ± 0.108 pg) for the section Eumusa. Among the species belonging to the section Rhodochlamys, M. rosae had the lowest 2C content of 1.194 ± 0.033 pg whereas the highest nuclear DNA content (2C) was observed in M. velutina (1.488 ± 0.203 pg). Cytogenetic analysis revealed that the chromosome number of 14 wild Musa species was 2n = 22, while 1 species-Ensete glaucum-showed a chromosome number of 2n = 18 (diploid), and for 3 species, the chromosome number was 2n = 33 (triploids). An association study based on the Pearson correlation coefficient showed 2C nuclear DNA content was significant and positively correlated with ploidy level (R = 0.9) and chromosome number (R = 0.84). CONCLUSIONS: The present study provides reliable information on the genome size and ploidy level of wild Musa species from the Indian region through flow cytometric analysis, which could be further utilized in taxonomic and crop improvement programs. For the first time, the nuclear DNA content of eight wild diploid and three triploid Indian species were estimated and reported. Genome size could be an effective indicator in identification of species and evolutionary studies in Musa with varying ploidy levels and morphological similarities.

Stroke Experiences and Unmet Needs of Individuals of African Descent Living in High-Income Economy Countries: a Qualitative Meta-Synthesis.

BACKGROUND: Stroke service disparities experienced by individuals of African descent highlight the need to optimize services. While qualitative studies have explored participants' unique experiences and service needs, a comprehensive synthesis is lacking. To address current knowledge gaps, this review aimed to synthesize existing literature on the experiences of individuals of African descent impacted by a stroke living in high-income economy countries in terms of stroke prevention, management, and care. METHODS: A qualitative meta-synthesis incorporating a meta-study approach was conducted to obtain comprehensive and interpretive insights on the study topic. Four databases were searched to identify qualitative English-language studies published in the year 2022 or earlier on the experiences of adults of African descent who were at risk or impacted by a stroke and living in high-income economy countries. Study methods, theory, and data were analyzed using descriptive and interpretive analyses. RESULTS: Thirty-seven studies met our inclusion criteria, including 29 journal articles and 8 dissertations. Multiple authors reported recruitment as a key challenge in study conduct. Multiple existing theories and frameworks of health behaviours, beliefs, self-efficacy, race, and family structure informed research positionality, questions, and analysis across studies. Participant experiences were categorized as (1) engagement in stroke prevention activities and responses to stroke symptoms, (2) self-management and self-identity after stroke, and (3) stroke care experiences. CONCLUSIONS: This study synthesizes the experiences and needs of individuals of African descent impacted by stroke. Findings can help tailor stroke interventions across the stroke care continuum, as they suggest the need for intersectional and culturally humble care approaches.

Inclusion of Older Adults in Digital Health Technologies to Support Hospital-to-Home Transitions: Secondary Analysis of a Rapid Review and Equity-Informed Recommendations.

BACKGROUND: Digital health technologies have been proposed to support hospital-to-home transition for older adults. The COVID-19 pandemic and the associated physical distancing guidelines have propelled a shift toward digital health technologies. However, the characteristics of older adults who participated in digital health research interventions to support hospital-to-home transitions remain unclear. This information is needed to assess whether current digital health interventions are generalizable to the needs of the broader older adult population. OBJECTIVE: This rapid review of the existing literature aimed to identify the characteristics of the populations targeted by studies testing the implementation of digital health interventions designed to support hospital-to-home transitions, identify the characteristics of the samples included in studies testing digital health interventions used to support hospital-to-home transitions, and create recommendations for enhancing the diversity of samples within future hospital-to-home digital health interventions. METHODS: A rapid review methodology based on scoping review guidelines by Arksey and O'Malley was developed. A search for peer-reviewed literature published between 2010 and 2021 on digital health solutions that support hospital-to-home transitions for older adults was conducted using MEDLINE, Embase, and CINAHL databases. The data were analyzed using descriptive statistics and qualitative content analysis. The Sex- and Gender-Based Analysis Plus lens theoretically guided the study design, analysis, and interpretation. RESULTS: A total of 34 studies met the inclusion criteria. Our findings indicate that many groups of older adults were excluded from these interventions and remain understudied. Specifically, the oldest old and those living with cognitive impairments were excluded from the studies included in this review. In addition, very few studies have described the characteristics related to gender diversity, education, race, ethnicity, and culture. None of the studies commented on the sexual orientation of the participants. CONCLUSIONS: This is the first review, to our knowledge, that has mapped the literature focusing on the inclusion of older adults in digital hospital-to-home interventions. The findings suggest that the literature on digital health interventions tends to operationalize older adults as a homogenous group, ignoring the heterogeneity in older age definitions. Inconsistency in the literature surrounding the characteristics of the included participants suggests a need for further study to better understand how digital technologies to support hospital-to-home transitions can be inclusive.

Exploring the perspectives of outpatient rehabilitation clinicians on the challenges with monitoring patient health, function and activity in the community.

PURPOSE: Rehabilitation clinicians need information about patient activities in the home/community to inform care. Despite active efforts to develop technologies that can meet this need, clinicians' perspectives regarding how information is collected and used in outpatient rehabilitation have not been comprehensively described. Therefore, we aimed to describe: (1) what data pertaining to a patient's health, function and activity in their home/community are currently collected in outpatient rehabilitation, (2) how these data can impact clinical decisions, and (3) what challenges clinicians encounter when they manage the care of outpatients based on this information. MATERIALS AND METHODS: Eight clinicians working in outpatient rehabilitation programs completed qualitative interviews that were analyzed using an inductive thematic analysis. RESULTS: Four themes were identified: "Nature of data about a patient's health, function and activity in the home/community and how it is collected by clinicians," "Value of data from the home/community," "Perceived drawbacks of current data collection methods," and "Improving data collection to understand patient trajectory." CONCLUSIONS: Clinicians described the importance of understanding patient activities in the home/community, but perspectives varied regarding the suitability of current methods. These perceptions may inform the design of solutions to bridge the gap between the clinic and the community in outpatient rehabilitation.Implications for rehabilitationClinical decision-making in outpatient rehabilitation is guided by verbal and written reports about a patient's health and function in the community and adherence to treatment plans.Differing perceptions on the suitability of current data collection methods indicate that the development of new solutions, such as rehabilitation technologies, needs to carefully consider clinician workflows and what data are perceived as meaningful.Potentially impactful directions for new solutions include providing well validated data on adherence, movement quality, or longitudinal progression, presented in formats that match clinical decision criteria.

Variation in surgical management of primary hyperparathyroidism in the US Department of Veterans Affairs healthcare system: A 15-year observational study.

BACKGROUND: Primary hyperparathyroidism is underdiagnosed and undertreated nationally despite the benefits of parathyroidectomy. However, the degree of hospital-level variation in the management of primary hyperparathyroidism is unknown. METHODS: We performed a national, retrospective study of Veterans with primary hyperparathyroidism using the Veterans Affairs Corporate Data Warehouse from January 2000 to September 2015. The objective was to characterize the extent of hospital-level variation in the use of parathyroidectomy for the management of primary hyperparathyroidism within a national, integrated healthcare system. Rate of parathyroidectomy in patients with primary hyperparathyroidism was stratified by (1) geographic region, (2) facility complexity level, (3) volume of parathyroidectomies per facility, and (4) frequency of parathyroid hormone testing in hypercalcemic patients. RESULTS: Among 47,158 Veterans with primary hyperparathyroidism, 6,048 (12.8%) underwent parathyroidectomy. Rates of parathyroidectomy were significantly higher in the Continental (17.0%) and Pacific (16.0%) regions than in other areas (11.4%, P < .01). The highest complexity referral centers had the highest rate of parathyroidectomy (13.6%) compared with all other facilities (12.1%, P < .01). Centers that performed the highest volume of parathyroidectomies were more likely to offer surgery (13.3%) than low volume centers (8.9%, P < .01). Facilities with higher frequency of parathyroid hormone testing among hypercalcemic patients were more likely to offer parathyroidectomy (15.2%) than those with the lowest parathyroid hormone testing frequency (12.6%, P < .01). CONCLUSION: Although there is notable variation in parathyroidectomy use for definitive treatment of primary hyperparathyroidism between Veterans Affairs facilities, parathyroidectomy rates are low across the entire system. Further research is needed to understand additional local contextual and other patient and clinician-level factors for the undertreatment of primary hyperparathyroidism to subsequently guide corrective interventions.

Assessment of Health Information Technology-Related Outpatient Diagnostic Delays in the US Veterans Affairs Health Care System: A Qualitative Study of Aggregated Root Cause Analysis Data.

Importance: Diagnostic delay in the outpatient setting is an emerging safety priority that health information technology (HIT) should help address. However, diagnostic delays have persisted, and new safety concerns associated with the use of HIT have emerged. Objective: To analyze HIT-related outpatient diagnostic delays within a large, integrated health care system. Design, Setting, and Participants: This cohort study involved qualitative content analysis of safety concerns identified in aggregated root cause analysis (RCA) data related to HIT and outpatient diagnostic delays. The setting was the US Department of Veterans Affairs using all RCAs submitted to the Veterans Affairs (VA) National Center for Patient Safety from January 1, 2013, to July 31, 2018. Main Outcomes and Measures: Common themes associated with the role of HIT-related safety concerns were identified and categorized according to the Health IT Safety framework for measuring, monitoring, and improving HIT safety. This framework includes 3 related domains (ie, safe HIT, safe use of HIT, and using HIT to improve safety) situated within an 8-dimensional sociotechnical model accounting for interacting technical and nontechnical variables associated with safety. Hence, themes identified enhanced understanding of the sociotechnical context and domain of HIT safety involved. Results: Of 214 RCAs categorized by the terms delay and outpatient submitted during the study period, 88 were identified as involving diagnostic delays and HIT, from which 172 unique HIT-related safety concerns were extracted (mean [SD], 1.97 [1.53] per RCA). Most safety concerns (82.6% [142 of 172]) involved problems with safe use of HIT, predominantly sociotechnical factors associated with people, workflow and communication, and a poorly designed human-computer interface. Fewer safety concerns involved problems with safe HIT (14.5% [25 of 172]) or using HIT to improve safety (0.3% [5 of 172]). The following 5 key high-risk areas for diagnostic delays emerged: managing electronic health record inbox notifications and communication, clinicians gathering key diagnostic information, technical problems, data entry problems, and failure of a system to track test results. Conclusions and Relevance: This qualitative study of a national RCA data set suggests that interventions to reduce outpatient diagnostic delays could aim to improve test result management, interoperability, data visualization, and order entry, as well as to decrease information overload.

Prioritizing Patient Safety Efforts in Office Practice Settings.

OBJECTIVES: Outpatient care settings face unique risks of adverse events and medico-legal liability, often worsened by inconsistent processes and fragmented care. Health systems are increasingly providing integrated care that includes outpatient care, but models of how to systematically target medico-legal risk in office practices are largely absent. Innovative and scalable efforts are needed to guide large health systems in their approach to outpatient safety. METHODS: A malpractice consortium consisting of five large health care delivery systems identified that its ambulatory care cases (including office practices, outpatient hospital settings, and emergency departments) account for 30% to 35% of annual medical malpractice costs, and missed or delayed diagnoses account for approximately 50% of office practice liability risk. To further understand risks and opportunities in office-based practices, a team of patient safety and loss prevention professionals conducted site visits to seven outpatient-affiliated sites of the five health systems from January to March 2016 and interviewed several key informant members of physician, nursing, and administrative leadership. RESULTS: We identified eight common patient safety risk domains based on analysis of eight sets of group interviews. Risk domains were then prioritized by members of the consortium leadership using scoring criteria that we developed based on existing risk assessment and prioritization approaches. The method helped identify communication and follow-up of diagnostic test results in the outpatient setting as the single most important risk area to target improvement efforts. CONCLUSIONS: A targeted approach to identify a single high-risk area led to development of dedicated teams to conduct local patient safety improvement projects at the affiliated health systems and for sharing lessons learned. Similar efforts elsewhere could lead to safety improvements in office practices at other large health systems.

Recommendations for using the Revised Safer Dx Instrument to help measure and improve diagnostic safety.

The medical record continues to be one of the most useful and accessible sources of information to examine the diagnostic process. However, medical record review studies of diagnostic errors have often used subjective judgments and found low inter-rater agreement among reviewers when determining the presence or absence of diagnostic error. In our previous work, we developed a structured data-collection instrument, called the Safer Dx Instrument, consisting of objective criteria to improve the accuracy of assessing diagnostic errors in primary care. This paper proposes recommendations on how clinicians and health care organizations could use the Revised Safer Dx Instrument in identifying and understanding missed opportunities to make correct and timely diagnoses. The instrument revisions addressed both methodological and implementation issues identified during initial use and included refinements to the instrument to allow broader application across all health care settings. In addition to leveraging knowledge from piloting the instrument in several health care settings, we gained insights from multiple researchers who had used the instrument in studies involving emergency care, inpatient care and intensive care unit settings. This allowed us to enhance and extend the scope of this previously validated data collection instrument. In this paper, we describe the refinement process and provide recommendations for application and use of the Revised Safer Dx Instrument across a broad range of health care settings. The instrument can help users identify potential diagnostic errors in a standardized way for further analysis and safety improvement efforts as well as provide data for clinician feedback and reflection. With wider adoption and use by clinicians and health systems, the Revised Safer Dx Instrument could help propel the science of measuring and reducing diagnostic errors forward.

The design and conduct of Project RedDE: A cluster-randomized trial to reduce diagnostic errors in pediatric primary care.

BACKGROUND: Diagnostic errors contribute to the large burden of healthcare-associated harm experienced by children. Primary care settings involve high diagnostic uncertainty and limited time and information, creating ideal conditions for diagnostic errors. We report on the design and conduct of Project RedDE, a stepped-wedge, cluster-randomized controlled trial of a virtual quality improvement collaborative aimed at reducing diagnostic errors in pediatric primary care. METHODS: Project RedDE cluster-randomized pediatric primary care practices into one of three groups. Each group participated in a quality improvement collaborative targeting the same three diagnostic errors (missed diagnoses of elevated blood pressure and adolescent depression and delayed diagnoses of abnormal laboratory studies), but in a different sequence. During the quality improvement collaborative, practices worked both independently and collaboratively, leveraging general quality improvement strategies (e.g. process mapping) in addition to error-specific content (e.g. pocket guides for blood pressure norms) delivered during the intervention phase for each error. The quality improvement collaborative intervention included interactive learning sessions and webinars, quality improvement coaching at the team level, and repeated evaluation of failures via root cause analyses. Pragmatic data were collected monthly, submitted to a centralized data aggregator, and returned to the practices in the form of run charts comparing each practice's progress over time to that of the group. The primary analysis used patients as the unit of analysis and compared diagnostic error proportions between the intervention and baseline periods, while secondary analyses evaluated the sustainability of observed reductions in diagnostic errors after the intervention period ended. RESULTS: A total of 43 practices were recruited and randomized into Project RedDE. Eleven practices withdrew before submitting any data, and one practice merged with another participating practice, leaving 31 practices that began work on Project RedDE. All but one of the diverse, national pediatric primary care practices that participated ultimately submitted complete data. Quality improvement collaborative participation was robust, with an average of 63% of practices present on quality improvement collaborative webinars and 85% of practices present for quality improvement collaborative learning sessions. Complete data included 30 months of outcome data for the first diagnostic error worked on, 24 months of outcome data for the second, and 16 months of data for the third. LESSONS LEARNED AND LIMITATIONS: Contamination across study groups was a recurring concern; concerted efforts were made to mitigate this risk. Electronic health records played a large role in teams' success. CONCLUSION: Project RedDE, a virtual quality improvement collaborative aimed at reducing diagnostic errors in pediatric primary care, successfully recruited and retained a diverse, national group of pediatric primary care practices. The stepped-wedge, cluster-randomized controlled trial design allowed for enhanced scientific efficiency.

Two Decades Since To Err Is Human: An Assessment Of Progress And Emerging Priorities In Patient Safety.

The Institute of Medicine's To Err Is Human, published in 1999, represented a watershed moment for the US health care system. The report dramatically raised the profile of patient safety and stimulated dedicated research funding to this essential aspect of patient care. Highly effective interventions have since been developed and adopted for hospital-acquired infections and medication safety, although the impact of these interventions varies because of their inconsistent implementation and practice. Progress in addressing other hospital-acquired adverse events has been variable. In the past two decades additional areas of safety risk have been identified and targeted for intervention, such as outpatient care, diagnostic errors, and the use of health information technology. In sum, the frequency of preventable harm remains high, and new scientific and policy approaches to address both prior and emerging risk areas are imperative. With the increasing availability of electronic data, investments must now be made in developing and testing methods to routinely and continuously measure the frequency and types of patient harm and even predict risk of harm for specific patients. This progress could lead us from a Bronze Age of rudimentary tool development to a Golden Era of vast improvement in patient safety.

Payment Innovations To Improve Diagnostic Accuracy And Reduce Diagnostic Error.

Diagnostic accuracy is essential for treatment decisions but is largely unaccounted for by payers, including in fee-for-service Medicare and proposed Alternative Payment Models (APMs). We discuss three payment-related approaches to reducing diagnostic error. First, coding changes in the Medicare Physician Fee Schedule could facilitate the more effective use of teamwork and information technology in the diagnostic process and better support the cognitive work and time commitment that physicians make in the quest for diagnostic accuracy, especially in difficult or uncertain cases. Second, new APMs could be developed to focus on improving diagnostic accuracy in challenging cases and make available support resources for diagnosis, including condition-specific centers of diagnostic expertise or general diagnostic centers of excellence that provide second (or even third) opinions. Performing quality improvement activities that promote safer diagnosis should be a part of the accountability of APM recipients. Third, the accuracy of diagnoses that trigger APM payments and establish payment amounts should be confirmed by APM recipients. Implementation of these multipronged approaches can make current payment models more accountable for addressing diagnostic error and position diagnostic performance as a critical component of quality-based payment.

Reducing Unnecessary Shoulder MRI Examinations Within a Capitated Health Care System: A Potential Role for Shoulder Ultrasound.

PURPOSE: MRI is frequently overused. The aim of this study was to analyze shoulder MRI ordering practices within a capitated health care system and explore the potential effects of shoulder ultrasound substitution. METHODS: We reviewed medical records of 237 consecutive shoulder MRI examinations performed in 2013 at a Department of Veterans Affairs tertiary care hospital. Using advanced imaging guidelines, we assessed ordering appropriateness of shoulder MRI and estimated the proportion of examinations for which musculoskeletal ultrasound could have been an acceptable substitute, had it been available. We then reviewed MRI findings and assessed if ultrasound with preceding radiograph would have been adequate for diagnosis, based on literature reports of shoulder ultrasound diagnostic performance. RESULTS: Of the 237 examinations reviewed, 106 (45%) were deemed to be inappropriately ordered, most commonly because of an absent preceding radiograph (n = 98; 92%). Nonorthopedic providers had a higher frequency of inappropriate ordering (44%) relative to orthopedic specialists (17%) (P = .016; odds ratio = 3.15, 95% confidence interval = 1.24-8.01). In the 237 examinations, ultrasound could have been the indicated advanced imaging modality for 157 (66%), and most of these (133/157; 85%) could have had all relevant pathologies characterized when combined with radiographs. Regardless of indicated modality, ultrasound could have characterized 80% of all cases ordered by nonorthopedic providers and 50% of cases ordered by orthopedic specialists (P = .007). CONCLUSIONS: Advanced shoulder imaging is often not ordered according to published appropriateness criteria. While nonorthopedic provider orders were more likely to be inappropriate, inappropriateness persisted among orthopedic providers. A combined ultrasound and radiograph evaluation strategy could accurately characterize shoulder pathologies for most cases.

What happens to the hemodynamic responses for laryngeal mask airway insertion when we supplement propofol with butorphanol or fentanyl for induction of anesthesia: A comparative assessment and critical review.

BACKGROUND: There is a delicate balance between respiratory tract anatomy, its physiology, physiological response to anesthetic agents, and airway management. The traditional gadgets to secure airway are face masks or endotracheal tubes. Recently, laryngeal mask airway (LMA) is gaining popularity. It does not require laryngoscopy thereby minimizing hemodynamic responses. For LMA placement, propofol is the induction agent of choice. Propofol, when used alone, requires large doses and leads to undesirable cardiorespiratory depression. To culminate its dose, various adjuncts are combined with it. AIM: Comparison of hemodynamic response of LMA using either butorphanol or fentanyl (according to group allocated) in combination with propofol. METHODOLOGY: Hundred patients scheduled for various surgical procedures were randomly selected and divided into two groups of 50 patients each, Group F (propofol and fentanyl) and Group B (propofol and butorphanol). One minute after giving intravenous (IV) opioids, induction was achieved with IV propofol 2.5 mg/kg. Depth of anesthesia was assessed, and LMA was inserted. Hemodynamic variables were measured before premedication, after premedication; 1, 3, and 5 min after insertion and after extubation of LMA. RESULTS: After insertion of LMA, statistically significant drop in mean heart rate, systolic blood pressure (BP), diastolic BP, and mean BP was noted in Group F as compared to Group B (P < 0.05). CONCLUSION: The use of propofol-butorphanol combination produces stable hemodynamics as compared to propofol-fentanyl combination.

Using voluntary reports from physicians to learn from diagnostic errors in emergency medicine.

OBJECTIVES: Diagnostic errors are common in the emergency department (ED), but few studies have comprehensively evaluated their types and origins. We analysed incidents reported by ED physicians to determine disease conditions, contributory factors and patient harm associated with ED-related diagnostic errors. METHODS: Between 1 March 2009 and 31 December 2013, ED physicians reported 509 incidents using a department-specific voluntary incident-reporting system that we implemented at two large academic hospital-affiliated EDs. For this study, we analysed 209 incidents related to diagnosis. A quality assurance team led by an ED physician champion reviewed each incident and interviewed physicians when necessary to confirm the presence/absence of diagnostic error and to determine the contributory factors. We generated descriptive statistics quantifying disease conditions involved, contributory factors and patient harm from errors. RESULTS: Among the 209 incidents, we identified 214 diagnostic errors associated with 65 unique diseases/conditions, including sepsis (9.6%), acute coronary syndrome (9.1%), fractures (8.6%) and vascular injuries (8.6%). Contributory factors included cognitive (n=317), system related (n=192) and non-remedial (n=106). Cognitive factors included faulty information verification (41.3%) and faulty information processing (30.6%) whereas system factors included high workload (34.4%) and inefficient ED processes (40.1%). Non-remediable factors included atypical presentation (31.3%) and the patients' inability to provide a history (31.3%). Most errors (75%) involved multiple factors. Major harm was associated with 34/209 (16.3%) of reported incidents. CONCLUSIONS: Most diagnostic errors in ED appeared to relate to common disease conditions. While sustaining diagnostic error reporting programmes might be challenging, our analysis reveals the potential value of such systems in identifying targets for improving patient safety in the ED.

Corner Store Purchases in a Low-Income Urban Community in NYC.

We assessed purchases made, motivations for shopping, and frequency of shopping at four New York City corner stores (bodegas). Surveys and purchase inventories (n = 779) were collected from consumers at four bodegas in Bronx, NY. We use Chi square tests to compare types of consumers, items purchased and characteristics of purchases based on how frequently the consumer shops at the specific store and the time of day the purchase was made. Most consumers shopped at the bodega because it was close to their home (52 %). The majority (68 %) reported shopping at the bodega at least once per day. The five most commonly purchased items were sugary beverages, (29.27 %), sugary snacks (22.34 %), coffee, (13.99 %), sandwiches, (13.09 %) and non-baked potato chips (12.2 %). Nearly 60 % of bodega customers reported their purchase to be healthy. Most of the participants shopped at the bodega frequently, valued its convenient location, and purchased unhealthy items. Work is needed to discover ways to encourage healthier choices at these stores.