Derivation of a Unique, Algorithm-Based Approach to Cancer Patient Navigator Workload Management.

PURPOSE: Cancer patient navigators (CPNs) can decrease the time from diagnosis to treatment, but workloads vary widely, which may lead to burnout and less optimal navigation. Current practice for patient distribution among CPNs at our institution approximates random distribution. A literature search did not uncover previous reports of an automated algorithm to distribute patients to CPNs. We sought to develop an automated algorithm to fairly distribute new patients among CPNs specializing in the same cancer type(s) and assess its performance through simulation on a retrospective data set. METHODS: Using a 3-year data set, a proxy for CPN work was identified and multiple models were developed to predict the upcoming week's workload for each patient. An XGBoost-based predictor was retained on the basis of its superior performance. A distribution model was developed to fairly distribute new patients among CPNs within a specialty on the basis of predicted work needed. The predicted work included the week's predicted workload from a CPN's existing patients plus that of newly distributed patients to the CPN. Resulting workload unfairness was compared between predictor-informed and random distribution. RESULTS: Predictor-informed distribution significantly outperformed random distribution for equalizing weekly workloads across CPNs within a specialty. CONCLUSION: This derivation work demonstrates the feasibility of an automated model to distribute new patients more fairly than random assignment (with unfairness assessed using a workload proxy). Improved workload management may help reduce CPN burnout and improve navigation assistance for patients with cancer.

Screening for Social Determinants of Health: Active and Passive Information Retrieval Methods.

Screening for social determinants of health (SDOH) is recommended, but numerous barriers exist to implementing SDOH screening in clinical spaces. In this study, the authors identified how both active and passive information retrieval methods may be used in clinical spaces to screen for SDOH and meet patient needs. The authors conducted a retrospective sequential cohort analysis comparing the active identification of SDOH through a patient-led digital manual screening process completed in primary care offices from September 2019 to January 2020 and passive identification of SDOH through natural language processing (NLP) from September 2016 to August 2018, among 1735 patients at a large midwestern tertiary referral hospital system and its associated outlying primary care and outpatient facilities. The percent of patients identified by both the passive and active identification methods as experiencing SDOH varied from 0.3% to 4.7%. The active identification method identified social integration, domestic safety, financial resources, food insecurity, transportation, housing, and stress in proportions ranging from 5% to 36%. The passive method contributed to the identification of financial resource issues and stress, identifying 9.6% and 3% of patients to be experiencing these issues, respectively. SDOH documentation varied by provider type. The combination of passive and active SDOH screening methods can provide a more comprehensive picture by leveraging historic patient interactions, while also eliciting current patient needs. Using passive, NLP-based methods to screen for SDOH will also help providers overcome barriers that have historically prevented screening.

Closing the Gap: A Comparison of Engagement Interventions to Achieve Equitable Breast Cancer Screening in Rural Illinois.

Mammography screening rates are typically lower in those with less economic advantage (EA). This study, conducted at an integrated health care system covering a mixed rurality population, assessed the ability of interventions (text messages linking to a Web microsite, digital health care workers, and a community health fair) to affect mammography screening rates and disparity in those rates among different EA populations. Payor type served as a proxy for greater (commercially insured) versus lower (Medicaid insured) EA. 4,342 subjects were included across the preintervention ("Pre") and postintervention ("Post") periods. Interventions were prospectively applied to all Medicaid subjects and randomly selected commercial subjects. Applying interventions only to lower EA subjects reversed the screening rate disparity (2.6% Pre vs. -3.7% Post, odds ratio [OR] 2.4 P < 0.01). When intervention arms ("Least," "More," "Most") were equally applied, screening rates in both EA groups significantly increased in the More arm (Medicaid OR = 2.04 P = 0.04, Commercial OR = 3.08 P < 0.01) and Most arm (Medicaid OR 2.57 P < 0.01, Commercial OR 2.33 P < 0.01), but not in the Least (text-only) arm (Medicaid OR 1.83 P = 0.11, Commercial OR 1.72 P = 0.09), although this text-only arm was inadequately powered to detect a difference. In summary, targeting interventions to those with lower EA reversed screening rate disparities, text messaging combined with other interventions improved screening rates in both groups, and future research is needed to determine whether interventions can simultaneously improve screening rates for all without worsening the disparity.

Detection of SARS-CoV-2 Virus Amplification Using a Crumpled Graphene Field-Effect Transistor Biosensor.

The rapid and unexpected spread of SARS-CoV-2 worldwide has caused unprecedented disruption to daily life and has brought forward critical challenges for public health. The disease was the largest cause of death in the United States in early 2021. Likewise, the COVID-19 pandemic has highlighted the need for rapid and accurate diagnoses at scales larger than ever before. To improve the availability of current gold standard diagnostic testing methods, the development of point-of-care devices that can maintain gold standard sensitivity while reducing the cost and providing portability is much needed. In this work, we combine the amplification capabilities of reverse transcriptase loop-mediated isothermal amplification (RT-LAMP) techniques with high-sensitivity end-point detection of crumpled graphene field-effect transistors (cgFETs) to develop a portable detection cell. This electrical detection method takes advantage of the ability of graphene to adsorb single-stranded DNA due to noncovalent π-π bonds but not double-stranded DNA. These devices have demonstrated the ability to detect the presence of the SARS-CoV-2 virus in a range from 10 to 104 copies/µL in 20 viral transport medium (VTM) clinical samples. As a result, we achieved 100% PPV, NPV, sensitivity, and specificity with 10 positive and 10 negative VTM clinical samples. Further, the cgFET devices can differentiate between positive and negative VTM clinical samples in 35 min based on the Dirac point shift. Likewise, the improved sensing capabilities of the crumpled gFET were compared with those of the traditional flat gFET devices.

Reverse Transcription Loop-Mediated Isothermal Amplification Assay for Ultrasensitive Detection of SARS-CoV-2 in Saliva and Viral Transport Medium Clinical Samples.

The COVID-19 pandemic has underscored the shortcomings in the deployment of state-of-the-art diagnostics platforms. Although several polymerase chain reaction (PCR)-based techniques have been rapidly developed to meet the growing testing needs, such techniques often need samples collected through a swab, the use of RNA extraction kits, and expensive thermocyclers in order to successfully perform the test. Isothermal amplification-based approaches have also been recently demonstrated for rapid severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection by minimizing sample preparation while also reducing the instrumentation and reaction complexity. In addition, there are limited reports of saliva as the sample source, and some of these indicate inferior sensitivity when comparing reverse transcription loop-mediated isothermal amplification (RT-LAMP) with PCR-based techniques. In this paper, we demonstrate an improved sensitivity assay from saliva using a two-step RT-LAMP assay, where a short 10 min RT step is performed with only B3 and backward inner primers before the final reaction. We show that while the one-step RT-LAMP demonstrates satisfactory results, the optimized two-step approach allows detection of only few molecules per reaction and performs significantly better than the one-step RT-LAMP and conventional two-step RT-LAMP approaches with all primers included in the RT step. We show control measurements with RT-PCR, and importantly, we demonstrate RNA extraction-free RT-LAMP-based assays for detection of SARS-CoV-2 from viral transport media and saliva clinical samples.

Accuracy of emergency department triage using the Emergency Severity Index and independent predictors of under-triage and over-triage in Brazil: a retrospective cohort analysis.

BACKGROUND: Emergency department (ED) triage is performed to prioritize care for patients with critical and time-sensitive illness. Triage errors create opportunity for increased morbidity and mortality. Here, we sought to measure the frequency of under- and over-triage of patients by nurses using the Emergency Severity Index (ESI) in Brazil and to identify factors independently associated with each. METHODS: This was a single-center retrospective cohort study. The accuracy of initial ESI score assignment was determined by comparison with a score entered at the close of each ED encounter by treating physicians with full knowledge of actual resource utilization, disposition, and acute outcomes. Chi-square analysis was used to validate this surrogate gold standard, via comparison of associations with disposition and clinical outcomes. Independent predictors of under- and over-triage were identified by multivariate logistic regression. RESULTS: Initial ESI-determined triage score was classified as inaccurate for 16,426 of 96,071 patient encounters. Under-triage was associated with a significantly higher rate of admission and critical outcome, while over-triage was associated with a lower rate of both. A number of factors identifiable at time of presentation including advanced age, bradycardia, tachycardia, hypoxia, hyperthermia, and several specific chief complaints (i.e., neurologic complaints, chest pain, shortness of breath) were identified as independent predictors of under-triage, while other chief complaints (i.e., hypertension and allergic complaints) were independent predictors of over-triage. CONCLUSIONS: Despite rigorous and ongoing training of ESI users, a large number of patients in this cohort were under- or over-triaged. Advanced age, vital sign derangements, and specific chief complaints-all subject to limited guidance by the ESI algorithm-were particularly under-appreciated.

Implementing standardized, inter-unit communication in an international setting: handoff of patients from emergency medicine to internal medicine.

Standardized handoffs may reduce communication errors, but research on handoff in community and international settings is lacking. Our study at a community hospital in the United Arab Emirates characterizes existing handoff practices for admitted patients from emergency medicine (EM) to internal medicine (IM), develops a standardized handoff tool, and assesses its impact on communication and physician perceptions. EM physicians completed a survey regarding handoff practices and expectations. Trained observers utilized a checklist based on the Systems Engineering Initiative for Patient Safety model to observe 40 handoffs. EM and IM physicians collaboratively developed a written tool encouraging bedside handoff of admitted patients. After the intervention, surveys of EM physicians and 40 observations were subsequently repeated. 77.5% of initial observed handoffs occurred face-to-face, with 42.5% at bedside, and in four different languages. Most survey respondents considered face-to-face handoff ideal. Respondents noted 9-13 patients suffering harm due to handoff in the prior month. After handoff tool implementation, 97.5% of observed handoffs occurred face-to-face (versus 77.5%, p = 0.014), with 82.5% at bedside (versus 42.5%, p < 0.001), and all in English. Handoff was streamlined from 7 possible pathways to 3. Most post-intervention survey respondents reported improved workflow (77.8%) and safety (83.3%); none reported patient harm. Respondents and observers noted reduced inefficiency (p < 0.05). Our standardized tool increased face-to-face and bedside handoff, positively impacted workflow, and increased perceptions of safety by EM physicians in an international, non-academic setting. Our three-step approach can be applied towards developing standardized, context-specific inter-specialty handoff in a variety of settings.

Emergency department resource utilization during Ramadan: distinct and reproducible patterns over a 4-year period in Abu Dhabi.

OBJECTIVES: Emergency Department (ED) patient arrivals vary daily and change considerably during holidays, posing challenges to resource allocation. Ramadan, during which observant Muslims follow a daily fasting period for ∼30 days, could represent a unique annual circumstance that predictably alters ED arrivals in predominantly Muslim populations. Our study examined an adult and pediatric ED in the United Arab Emirates to determine whether arrival patterns and patient characteristics differed during Ramadan. METHODS: Hourly arrivals, census (number of patients in ED at any given time), and visit characteristics were retrospectively compared for Ramadan versus non-Ramadan periods over 4 years (2010-2013). Hourly arrivals and census were plotted using two-way repeated-measures analysis of variance. Differences in characteristics were examined using the χ-test and Wilcoxon rank sum tests. RESULTS: Ramadan adult and pediatric ED arrival patterns differed significantly (P<0.001) from non-Ramadan days, with sharp decreases after the fast was broken around 6 p.m. (sunset), followed by steep increases by 8:30 pm. The median daily adult arrivals were similar [143 (Ramadan) vs. 148 (non-Ramadan); P=0.060], with slightly decreased length-of-stay (7%; P<0.001) during Ramadan. The median daily pediatric arrivals were lower during Ramadan (43 vs. 57; P<0.001), with decreased length-of-stay (20%; P<0.001). Arrival pattern shifts led to significant census redistribution to evening hours. Patient characteristics were similar during both periods. CONCLUSION: A distinct, predictable pattern of arrivals emerged during Ramadan. EDs serving predominantly Muslim populations or anticipating increases in Muslim patients in their catchment region may benefit from advanced planning for efficient distribution of provider hours during Ramadan.

Accuracy and Reliability of Emergency Department Triage Using the Emergency Severity Index: An International Multicenter Assessment.

STUDY OBJECTIVE: We assess accuracy and variability of triage score assignment by emergency department (ED) nurses using the Emergency Severity Index (ESI) in 3 countries. In accordance with previous reports and clinical observation, we hypothesize low accuracy and high variability across all sites. METHODS: This cross-sectional multicenter study enrolled 87 ESI-trained nurses from EDs in Brazil, the United Arab Emirates, and the United States. Standardized triage scenarios published by the Agency for Healthcare Research and Quality (AHRQ) were used. Accuracy was defined by concordance with the AHRQ key and calculated as percentages. Accuracy comparisons were made with one-way ANOVA and paired t test. Interrater reliability was measured with Krippendorff's α. Subanalyses based on nursing experience and triage scenario type were also performed. RESULTS: Mean accuracy pooled across all sites and scenarios was 59.2% (95% confidence interval [CI] 56.4% to 62.0%) and interrater reliability was modest (α=.730; 95% CI .692 to .767). There was no difference in overall accuracy between sites or according to nurse experience. Medium-acuity scenarios were scored with greater accuracy (76.4%; 95% CI 72.6% to 80.3%) than high- or low-acuity cases (44.1%, 95% CI 39.3% to 49.0% and 54%, 95% CI 49.9% to 58.2%), and adult scenarios were scored with greater accuracy than pediatric ones (66.2%, 95% CI 62.9% to 69.7% versus 46.9%, 95% CI 43.4% to 50.3%). CONCLUSION: In this multinational study, concordance of nurse-assigned ESI score with reference standard was universally poor and variability was high. Although the ESI is the most popular ED triage tool in the United States and is increasingly used worldwide, our findings point to a need for more reliable ED triage tools.

Defining and improving the role of emergency medical services in Cape Town, South Africa.

INTRODUCTION: Low and middle income countries bear a disproportionate burden of paediatric morbidity and mortality. South Africa, a middle income country, has unacceptably high mortality in children less than 5 years of age. Many factors that contribute to the child mortality rate are time sensitive and require efficient access to emergency care. Delays and barriers within the emergency medical services (EMS) system increase paediatric morbidity and mortality from time sensitive illnesses. METHODS: This study is a qualitative evaluation of the prehospital care system for paediatric patients in Cape Town, South Africa. A purposive sample of healthcare personnel within and interacting with the EMS system were interviewed. A structured interview form was used to gather data. All interviews were audio recorded and transcribed; two independent reviewers performed blinded content analysis of the transcribed script. RESULTS: 33 structured interviews were conducted over a 4 week period. Eight broad themes were identified during coding, including: access, communication, community education, equipment, infrastructure, staffing, training and triage. Subcategories were used to identify areas for targeted intervention. Overall agreement between the two independent coders was 93.36%, with a κ coefficient of 0.69. CONCLUSIONS: The prehospital system is central to delivering time sensitive care for paediatric patients. In a single centre middle income setting, communication barriers between dispatch personnel and medical facilities/EMS personnel were deemed to be a high priority intervention in order to improve care delivery. Other areas for targeted interventions should include broadening the advanced life support provider base and introducing basic medical language in dispatch staff training.

Home injury risks to young children in Karachi, Pakistan: a pilot study.

OBJECTIVE: To pilot an in-home unintentional injury hazard assessment tool and to quantify potential injury risks for young children in a low-income urban setting. METHODS: Two low-income neighbourhoods in Karachi, Pakistan, were mapped, and families with at least one child between the ages of 12 and 59 months were identified. Using existing available home injury risk information, an in-home injury risk assessment tool was drafted and tailored to the local setting. Home injury assessments were done in June-July 2010 after obtaining informed consent. RESULTS: Approximately 75.4% of mothers were educated through at least grade 12. The main risks identified were stoves within the reach of the child (n=279, 55.5%), presence of open buckets in the bathroom (n=240, 47.7%) within the reach of the child, and pedestal fans accessible to the child (n=242, 48.1%). In terms of safety equipment, a first-aid box with any basic item was present in 70% of households, but only 4.8% of households had a fire extinguisher in the kitchen. CONCLUSIONS: This was the first time that an in-home, all-unintentional injury risk assessment tool was tailored and applied in the context of a low-income community in Pakistan. There was a significant burden of hazards present in the homes in these communities, representing an important opportunity for injury prevention. This pilot may have future relevance to other LMICs where child injury prevention is a critical need.