The Use of Medical Crowdfunding to Mitigate the Personal Costs of Serious Chronic Illness: Scoping Review.

BACKGROUND: Persons diagnosed with serious chronic illnesses and their caretakers experience multiple types of financial costs that strain their income and generate financial distress. Many turn to medical crowdfunding (MCF) to mitigate the harms of these costs on their health and quality of life. OBJECTIVE: This scoping review aims to summarize the research on MCF for persons diagnosed with serious chronic illness regarding study designs and methods; the responsible conduct of research practices; and study foci as they relate to stress, stress appraisals, and the coping processes. METHODS: This review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. Eligible studies were conducted in countries designated as high income by the World Bank and focused on beneficiaries diagnosed with serious chronic illness. The findings of the included studies were summarized as they related to the key concepts in a conceptual framework derived from an established stress, appraisal, and coping framework and a conceptual model of financial toxicity in pediatric oncology. RESULTS: Overall, 26 studies were eligible for inclusion in the review. The main findings included a lack of integration of qualitative and quantitative approaches and the inconsistent reporting of the responsible conduct of research practices. The included studies focused on financial stressors that contributed to financial burden, such as out-of-pocket payments of medical bills, basic living expenses, medical travel expenses, and lost income owing to illness-related work disruptions. Few studies addressed stress appraisals as threatening or the adequacy of available financial resources. When mentioned, appraisals related to the global financial struggle during the COVID-19 pandemic or the capacity of social network members to donate funds. The consequences of MCF included the receipt of 3 forms of social support (tangible, informational, and emotional), privacy loss, embarrassment, and the propagation of scientifically unsupported information. Studies found that friends and family tended to manage MCF campaigns. Although most of the studies (21/26, 81%) focused on monetary outcomes, a few (5/26, 19%) concentrated on peoples' experiences with MCF. CONCLUSIONS: The identified methodological gaps highlight the need for more robust and reproducible approaches to using the copious data available on public MCF platforms. The integration of quantitative and qualitative methods will allow for nuanced explorations of the MCF experience. A more consistent elaboration of strategies to promote the responsible conduct of research is warranted to minimize risk to populations that are vulnerable and express concerns regarding the loss of privacy. Finally, an examination of the unanticipated consequences of MCF is critical for the development of future interventions to optimize existing supports while providing needed supports, financial and nonfinancial, that are lacking.

Continuous ECG monitoring should be the heart of bedside AI-based predictive analytics monitoring for early detection of clinical deterioration.

The idea that we can detect subacute potentially catastrophic illness earlier by using statistical models trained on clinical data is now well-established. We review evidence that supports the role of continuous cardiorespiratory monitoring in these predictive analytics monitoring tools. In particular, we review how continuous ECG monitoring reflects the patient and not the clinician, is less likely to be biased, is unaffected by changes in practice patterns, captures signatures of illnesses that are interpretable by clinicians, and is an underappreciated and underutilized source of detailed information for new mathematical methods to reveal.

Cancer Screening and Treatment Delays During the COVID-19 Pandemic and the Role of Health Literacy in Care Re-engagement: Findings from an NCI-Designated Comprehensive Cancer Center sample.

The COVID-19 pandemic has led to numerous delays in cancer-related care and cancer-specific screening, but the extent is not fully understood. For those that experience a delay or disruption in care, health related self-management is required to re-engage in care pathways and the role of health literacy in this pathway has not been explored. The purpose of this analysis is to (1) report the frequency of self-reported delays in cancer treatment and preventative screening services at an academic, NCI-designated center during the COVID-19 pandemic and (2) investigate cancer-related care and screening delays among those with adequate and limited health literacy. A cross-sectional survey was administered from an NCI-designated Cancer Center with a rural catchment area during November 2020 through March 2021. A total of 1,533 participants completed the survey, and nearly 19 percent of participants were categorized as having limited health literacy. Twenty percent of those with a cancer diagnosis reported a delay in cancer-related care; and 23-30% of the sample reported a delay in cancer screening. In general, the proportions of delays among those with adequate and limited health literacy were similar with the exception of colorectal cancer screening. There was also a notable difference in the ability to re-engage in cervical cancer screening among those with adequate and limited health literacy. Thus, there is a role for those engaged in cancer-related education and outreach to offer additional navigation resources for those at risk to cancer-related care and screening disruptions. Future study is warranted to investigate the role of health literacy on cancer care engagement.

Predictors of cervical cancer screening for refugee women attending an international family medicine clinic in the United States.

PURPOSE: Cervical cancer screening (CCS) rates are lower for foreign-born women in the United States (U.S.) compared with the overall population. This study aimed to determine the CCS rate and predictors among refugees who were identified as female attending a family medicine clinic. METHODS: A retrospective chart review included refugee individuals aged 21+, seen in the previous 3 years (3/23/2015-3/20/2018), without hysterectomy (n = 525). Lab results determined CCS rate. Chi-square and logistic regression models explored predictors of CCS. RESULTS: Overall, 60.0% were up-to-date (UTD) on CCS. Individuals aged 30-49, married, and with [Formula: see text] 1 child had higher odds of being UTD. Ten or more years living in the U.S. was a significant bivariate predictor of CCS, and approached significance in the multivariate model. CONCLUSION: This study begins to fill gaps in knowledge about cervical cancer control among individuals who resettled in the U.S. as refugees and, given that CCS rates are suboptimal, informs clinical practice improvements and directions for future research.

Statewide Analysis Reveals Period of Well-Child Visit Attendance for Earlier Diagnosis of Autism Spectrum Disorder.

OBJECTIVE: To explore the relationship between well-child visit (WCV) attendance during early childhood and age at autism spectrum disorder (ASD) diagnosis using data drawn from a statewide all-payer claims database. STUDY DESIGN: We used a correlational study design with longitudinal data drawn from the Virginia All-Payer Claims Database. All children born in 2011 with a diagnosis of ASD were included (n = 253). Survival analysis determined the impact of WCV attendance on ASD diagnosis at each American Academy of Pediatrics-recommended early childhood visit, and the 5-year visit. RESULTS: Survival analysis revealed a significant impact of WCV attendance at the 24-month, 3-, and 4-year visits on earlier ASD diagnosis. Children who attended the 24-month visit were diagnosed nearly 10 months earlier than those who did not. Overall, children with ASD attended fewer than 50% of visits during early childhood. CONCLUSIONS: Promoting consistent WCV attendance during early childhood is an actionable strategy for improving early identification of ASD. Further exploration is needed to determine barriers to visit attendance and the impact of patterns of early childhood WCV attendance on age of ASD diagnosis. Development and implementation of interventions to promote adherence to the American Academy of Pediatrics-recommended visits is needed.

Comparison between Rural and Urban Appalachian Children in Hospice Care.

OBJECTIVE: The goal of this study was to compare rural and urban pediatric hospice patients in Appalachia. METHODS: Using a retrospective, nonexperimental design, we sought to compare characteristics of Appalachian rural and urban children younger than 21 years enrolled in the Medicaid hospice benefit. Descriptive statistics were calculated on the demographic, hospice, and clinical characteristics of children from Appalachia. Comparisons were calculated using Pearson χ2 for proportions and the Student t test for means. RESULTS: Less than half of the 1788 Appalachian children admitted to hospice care resided in rural areas (40%). Compared with children in urban areas of Appalachia, rural children were significantly younger (8 years vs 9.5 years) and more often had a complex chronic condition (56.0% vs 35.1%) and comorbidities (38.5% vs 17.0%) with technology dependence (32.6% vs 17.0%). Children in rural Appalachian were commonly from communities in the southern region of Appalachia (27.9% vs <10.0%), with median household incomes <$50,000/year (96.7% vs 22.4%). Significant differences were present in clinical care between rural and urban Appalachian children. Rural children had longer lengths of stay in hospice care (38 days vs 11 days) and were less likely to use the emergency department during hospice admission (19.0% vs 43.0%). These children more often visited their primary care provider (49.9% vs 31.3%) and sought care for symptoms from nonhospice providers (18.1% vs 10.0%) while admitted to hospice. CONCLUSIONS: Our results suggest that children admitted to hospice care in rural versus urban Appalachia have distinct characteristics. Rural children are admitted to hospice care with significant medical complexities and reside in areas of poverty. Hospice care for rural children suggests a continuity of care with longer hospice stays and fewer transitions to the emergency department; however, the potential for care fragmentation is present, with frequent visits to primary care and nonhospice providers for symptom management. Understanding the unique characteristics of children in Appalachia may be essential for advancing knowledge and care for these children at the end of life. Future research examining geographic variation in hospice care in Appalachia is warranted.

Evaluating the cost-effectiveness of pediatric concurrent versus standard hospice care.

Using a sample of 18,152 pediatric hospice patients, this study assessed the cost-effectiveness of concurrent care over standard hospice care. Analysis of incremental cost-effectiveness ratios with bootstrapping simulations showed that concurrent care was more effective but at a higher cost.

Effects of Adjuvant Endocrine Therapy Adherence and Radiation on Recurrence and Survival Among Older Women with Early-Stage Breast Cancer.

BACKGROUND: The Cancer and Leukemia Group-B 9343 (CALGB 9343) trial demonstrated that women aged ≥ 70 years with early-stage breast cancer can safely omit radiation therapy (RT) and be treated with breast-conserving surgery (BCS) and adjuvant endocrine therapy (AET) alone. AET adherence is low, leaving an undertreated cohort who may be at increased risk of recurrence and death. We hypothesized that AET adherence and adjuvant treatment choice impact recurrence and survival among CALGB 9343 eligible women. PATIENTS AND METHODS: SEER-Medicare was used to identify CALGB 9343 eligible women who underwent BCS between 2007 and 2016. Medicare claims were used to identify AET use, and the proportion of days covered by AET was used to categorize adherent (PDC ≥ 0.80) versus nonadherent patients (PDC < 0.80). Recurrence-free, cancer-specific, and overall survival were assessed using Cox proportional hazards models. RESULTS: In total, 10,719 women were identified, of whom 780 (7.3%) underwent BCS alone, 1490 (13.9%) underwent BCS + RT, 1663 (15.5%) underwent BCS + AET, and 6786 (63.3%) had BCS + RT + AET. Among women treated with BCS + AET, adherent patients had lower recurrence than did nonadherent patients (HR = 0.65, 95% CI: 0.50-0.85). With respect to adjuvant treatment combinations, there was no recurrence difference between the BCS + RT + AET group and BCS + AET group (HR = 0.81, 95% CI: 0.54-1.21). There was equivalent cancer-specific but worse overall survival in the BCS + AET group versus the BCS + AET + RT group. CONCLUSIONS: While BCS + RT + AET may represent overtreatment for some, AET nonadherent women who omit RT are at risk for worse outcomes. Treatment decisions regarding RT omission should be tailored to the individual patient, taking into consideration the chances of AET nonadherence and the patients' own risk tolerance.

A View from the past into our collective future: the oncofertility consortium vision statement.

PURPOSE: Today, male and female adult and pediatric cancer patients, individuals transitioning between gender identities, and other individuals facing health extending but fertility limiting treatments can look forward to a fertile future. This is, in part, due to the work of members associated with the Oncofertility Consortium. METHODS: The Oncofertility Consortium is an international, interdisciplinary initiative originally designed to explore the urgent unmet need associated with the reproductive future of cancer survivors. As the strategies for fertility management were invented, developed or applied, the individuals for who the program offered hope, similarly expanded. As a community of practice, Consortium participants share information in an open and rapid manner to addresses the complex health care and quality-of-life issues of cancer, transgender and other patients. To ensure that the organization remains contemporary to the needs of the community, the field designed a fully inclusive mechanism for strategic planning and here present the findings of this process. RESULTS: This interprofessional network of medical specialists, scientists, and scholars in the law, medical ethics, religious studies and other disciplines associated with human interventions, explore the relationships between health, disease, survivorship, treatment, gender and reproductive longevity. CONCLUSION: The goals are to continually integrate the best science in the service of the needs of patients and build a community of care that is ready for the challenges of the field in the future.

Dynamic data in the ED predict requirement for ICU transfer following acute care admission.

Misidentification of illness severity may lead to patients being admitted to a ward bed then unexpectedly transferring to an ICU as their condition deteriorates. Our objective was to develop a predictive analytic tool to identify emergency department (ED) patients that required upgrade to an intensive or intermediate care unit (ICU or IMU) within 24 h after being admitted to an acute care floor. We conducted a single-center retrospective cohort study to identify ED patients that were admitted to an acute care unit and identified cases where the patient was upgraded to ICU or IMU within 24 h. We used data available at the time of admission to build a logistic regression model that predicts early ICU transfer. We found 42,332 patients admitted between January 2012 and December 2016. There were 496 cases (1.2%) of early ICU transfer. Case patients had 18.0-fold higher mortality (11.1% vs. 0.6%, p < 0.001) and 3.4 days longer hospital stays (5.9 vs. 2.5, p < 0.001) than those without an early transfer. Our predictive analytic model had a cross-validated area under the receiver operating characteristic of 0.70 (95% CI 0.67-0.72) and identified 10% of early ICU transfers with an alert rate of 1.6 per week (162.2 acute care admits per week, 1.9 early ICU transfers). Predictive analytic monitoring based on data available in the emergency department can identify patients that will require upgrade to ICU or IMU if admitted to acute care. Incorporating this tool into ED practice may draw attention to high-risk patients before acute care admit and allow early intervention.

Assessment of Pain and Sleep Symptoms in Children at High Risk for Cerebral Palsy in a Pediatric Neurodevelopmental Clinic: Implications for Future Quality Improvement Interventions.

Children with cerebral palsy (CP) often experience distressing symptoms. It is estimated that 3 in 4 have chronic pain and 1 in 5 have a sleep disorder, with the highest frequency and severity occurring in children with the greatest impairment. Sleep impairment and pain can adversely impact activities, participation and quality of life; however, prevalence of these symptoms in children at risk for CP < 2 years of age remain unknown. The objective of this project was to develop a baseline understanding of the presence of sleep and pain symptoms among children <2 years at high risk for CP to establish a baseline estimate for future quality improvement initiatives. A retrospective chart review was performed on a convenience sample of 50 children <2 years of age that were determined to be high risk for CP. This was determined through a standardized Hammersmith Infant Neurological Evaluation (HINE) global score of less than 56 performed as part of routine care. Descriptive statistics were used to explore the sample. A nonparametric test was used to evaluate the differences between groups. Pain and sleep problems were frequently reported in our sample (38% sleep problems and 32% pain). There were also significant differences between reported symptoms and the HINE. Reported symptoms were associated with lower HINE scores. Sleep and pain are frequent symptoms in children at risk for cerebral palsy. Early identification of these symptoms can lead to clinic-level intervention which may include pharmacological and non-pharmacological management strategies that improve outcomes for children at high risk for CP.

Rural Disparities in Early Childhood Well Child Visit Attendance.

PURPOSE: Children should attend well child visits (WCVs) during early childhood so that developmental disorders may be identified as early as possible, so treatment can begin. The aim of this research was to determine if rurality impacts access to WCV during early childhood, and if altering rurality measurement methods impacts outcomes. DESIGN AND METHODS: We utilized a longitudinal correlational design with early childhood data gathered from the Virginia All Payer Claims Database, which contains claims data from Medicaid and the majority of Virginia commercial insurance payers (n = 6349). WCV attendance was evaluated against three rurality metrics: a traditional metric using Rural-Urban Commuting Area codes, a developed land variable, and a distance to care variable, at a zip code level. RESULTS: Two of the rurality methods revealed that rural children attend fewer WCVs than their urban counterparts, (67% vs. 50% respectively, using a traditional metric; and a 0.035 increase in WCV attendance for every percent increase in developed land). Differences were attenuated by insurance payer; children with Medicaid attend fewer WCVs than those with private insurance. CONCLUSIONS: Young children in rural Virginia attend fewer WCVs than their non-rural counterparts, placing them at higher risk for missing timely developmental disorder screenings. The coronavirus disease pandemic has been associated with an abrupt and significant reduction in vaccination rates, which likely indicates fewer WCVs and concomitant developmental screenings. Pediatric nurses should encourage families of young children to develop a plan for continued WCVs, so that early identification of developmental disorders can be achieved.

Moral distress among nurses: A mixed-methods study.

BACKGROUND: Moral distress is recognized as a problem affecting healthcare professionals globally. Unaddressed moral distress may lead to withdrawal from the moral dimensions of patient care, burnout, or leaving the profession. Despite the importance, studies related to moral distress are scant in Thailand. OBJECTIVE: This study aims to describe the experience of moral distress and related factors among Thai nurses. DESIGN: A convergent parallel mixed-methods design was used. The quantitative and qualitative data were collected in parallel using the Measure of Moral Distress for Healthcare Professionals and interview guide. The analysis was conducted separately and then integrated. PARTICIPANTS: Participants were Thai nurses from two large tertiary care institutions in a Southern province of Thailand. ETHICAL CONSIDERATIONS: This study was approved by our organization's Institutional Review Board for Health Sciences Research, and by the Institutional Review Boards of the two local institutions in Thailand. Permission from the publisher was received to translate and utilize the Measure of Moral Distress (MMD-HP) under the license number: 4676990097151. RESULTS: A total of 462 participants completed the survey questions. The top 7 causes of moral distress were related to system-level root causes and end-of-life care situations. Hierarchical multiple regression showed that work units, considering leaving position, and number of moral distress episodes in the past year were significant predictors of moral distress. Twenty interviews demonstrated three main themes of distressing causes: (1) powerlessness (at patients/family-, team-, and organizational-levels), (2) end-of-life issues, and (3) poor team function (poor communication and collaboration, incompetent healthcare providers, and inappropriate behavior of colleagues). The integration of data from both components indicated that the qualitative interviews enrich the quantitative findings, especially as related to the top 7 causes of moral distress. DISCUSSION: Although the experience of moral distress among Thai nurses is similar to studies conducted elsewhere, the patient's and family's religious perspective that ties into the concept of moral distress needs to be explored. CONCLUSIONS: Although the root causes of moral distress are similar among different cultures, the experience of Thai nurses may vary according to culture and context.

Congenital Melanocytic Nevus: Considerations for Neonatal Clinicians and a Parent Perspective.

Congenital melanocytic nevus (CMN) or nevi, also known as dark moles, are present at birth. While small CMN are quite common, large and giant nevi are rare and can be associated with significant psychological distress and the potential for further clinical sequelae. Neonatal clinicians can offer anticipatory guidance to families through distribution of resources and navigation to additional consultants.

Predicting adjuvant endocrine therapy initiation and adherence among older women with early-stage breast cancer.

PURPOSE: The CALGB 9343 trial demonstrated that women age 70 or older with early-stage, estrogen receptor positive (ER +) breast cancer (BC) may safely forgo radiation therapy (RT) and be treated with breast conserving surgery followed by adjuvant endocrine therapy (AET) alone. However, most patients in this population still undergo RT in part because AET adherence is low. We sought to develop a predictive model for AET initiation and adherence in order to improve decision-making with respect to RT omission. METHODS: Women ages 70 and older with early-stage, ER + BC were identified using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database. Comorbidities, socioeconomic measures, prescription medications, and demographics were collected as potential predictors. Bivariate analysis was performed to identify factors associated with AET initiation and adherence. Stepwise selection of significant predictors was used to develop logistic regression classifiers for initiation and adherence. Model performance was evaluated using the c-statistic and other measures. RESULTS: 11,037 patients met inclusion criteria. Within the cohort, 8703 (78.9%) patients initiated AET and 6685 (60.6%) were adherent to AET over 1 year. Bivariate predictors of AET initiation were similar to predictors of adherence. The best AET initiation and adherence classifiers were poorly predictive with c-statistics of 0.65 and 0.60, respectively. CONCLUSIONS: The best models in the present study were poorly predictive, demonstrating that the reasons for initiation and adherence to AET are complex and individual to the patient, and therefore difficult to predict. Initiation and adherence to AET are important factors in decision-making regarding whether or not to forgo adjuvant RT. In order to better formulate treatment plans for this population, future work should focus on improving individual prediction of AET initiation and adherence.

Evaluating the Long-Term Impact of a Cooperative Group Trial on Radiation Use and Adjuvant Endocrine Therapy Adherence Among Older Women.

BACKGROUND: Using long-term survival data from the C9343 trial as a temporal reference point, this study aimed to determine radiation therapy (RT) treatment trends for older patients with early-stage breast cancer. The study also examined rates of adherence to adjuvant endocrine therapy (AET). METHODS: The surveillance, epidemiology, and end results-medicare database was used to identify women with a diagnosis of breast cancer from 2007 through 2016. Bivariate associations were calculated to determine variable characteristics by time frame (group 1: 2007-2012 vs. group 2: 2013-2016). Multivariate logistic regression was used to estimate the effect of group on the RT use and AET adherence. The temporal rates for both RT and AET adherence over time were plotted. RESULTS: The final study cohort included 12,210 Medicare beneficiaries. Use of RT differed significantly between the groups, with a higher proportion omitting RT in the later period (25% of group 2 vs. 20% of group 1; p < 0.001). In both groups, after adjustment for covariates, the patients with RT omitted were statistically less likely to adhere to AET [group 1: odds ratio (OR), 0.74; p < 0.001 vs. group 2: OR, 0.66; p < 0.001]. CONCLUSION: This study, 15 years after publication of the of the C9343 trial results, showed minimal change in practice, with most older women receiving RT. Importantly, AET adherence was significantly lower in the non-RT group. For women who meet the criteria to have adjuvant RT omitted, nonadherence to AET could result in undertreatment of their breast cancer, and RT should not be considered overtreatment.

Exploring Perceptions of Shift Length: A State-Based Survey of Registered Nurses.

OBJECTIVE: The aim of this study was to explore clinical nurses' perspectives of shift length. BACKGROUND: Discussions about scheduling practices, work rotations, and shift length are pervasive among nurses and nursing leadership. However, the science surrounding nurse perceptions of longer shifts is limited. METHODS: A survey instrument was developed and distributed to nurses engaged in the state's professional association. RESULTS: Data from 190 clinical nurses were included. When working a 40-hour work week, 76.3% reported a preference for 10-hour shifts, whereas 83.5% preferred a 12-hour shift during a 36-hour week. Those who chose longer shifts perceived improved work life balance and better patient care. Those identifying 8-hour shifts also pointed to work life balance as benefit. CONCLUSIONS: The results capture the voice of the nurse regarding shift length. The preference for the 10-hour shift within the 40-hour work week is novel. These results may assist with efforts to initiate change, improve the work environment and enhance home life.

Towards development of alert thresholds for clinical deterioration using continuous predictive analytics monitoring.

Patients who deteriorate while on the acute care ward and are emergently transferred to the Intensive Care Unit (ICU) experience high rates of mortality. To date, risk scores for clinical deterioration applied to the acute care wards rely on static or intermittent inputs of vital sign and assessment parameters. We propose the use of continuous predictive analytics monitoring, or data that relies on real-time physiologic monitoring data captured from ECG, documented vital signs, laboratory results, and other clinical assessments to predict clinical deterioration. A necessary step in translation to practice is understanding how an alert threshold would perform if applied to a continuous predictive analytic that was trained to detect clinical deterioration. The purpose of this study was to evaluate the positive predictive value of 'risk spikes', or large abrupt increases in the output of a statistical model of risk predicting clinical deterioration. We studied 8111 consecutive patient admissions to a cardiovascular medicine and surgery ward with continuous ECG data. We first trained a multivariable logistic regression model for emergent ICU transfer in a test set and tested the characteristics of the model in a validation set of 4059 patient admissions. Then, in a nested analysis we identified large, abrupt spikes in risk (increase by three units over the prior 6 h; a unit is the fold-increase in risk of ICU transfer in the next 24 h) and reviewed hospital records of 91 patients for clinical events such as emergent ICU transfer. We compared results to 59 control patients at times when they were matched for baseline risk including the National Warning Score (NEWS). There was a 3.4-fold higher event rate for patients with risk spikes (positive predictive value 24% compared to 7%, p = 0.006). If we were to use risk spikes as an alert, they would fire about once per day on a 73-bed acute care ward. Risk spikes that were primarily driven by respiratory changes (ECG-derived respiration (EDR) or charted respiratory rate) had highest PPV (30-35%) while risk spikes driven by heart rate had the lowest (7%). Alert thresholds derived from continuous predictive analytics monitoring are able to be operationalized as a degree of change from the person's own baseline rather than arbitrary threshold cut-points, which can likely better account for the individual's own inherent acuity levels. Point of care clinicians in the acute care ward settings need tailored alert strategies that promote a balance in recognition of clinical deterioration and assessment of the utility of the alert approach.

Examining HPV Vaccination Practices and Differences Among Providers in Virginia.

Virginia has some of the lowest HPV vaccination rates, despite being one of the few states in the USA requiring adolescent girls receive the vaccine. Provider characteristics may be an important factor in HPV vaccination. Thus, the present study assessed provider vaccination, practices, knowledge about the vaccine, and confidence in performing behaviors related to the vaccine. We conducted a cross-sectional electronic survey in a large health care system in Northern Virginia. A total of 53 responses were received. Only respondents who reported seeing adolescent patients were included in analyses (N = 42). Differences in responses were examined by provider age, gender, and type. Respondents reported recommending the vaccine a high percent of the time to eligible patients and had overall high levels of knowledge and confidence. Male providers recommended the vaccine to boys ages 11-12, less frequently than female providers. Providers age 50 and over recommended the vaccine to boys ages 11-12 less frequently than younger providers. This study shows that there are some gaps in HPV vaccine recommendation practices among providers. These gaps may be one reason for the low uptake of the HPV vaccine among adolescents. Thus, educational and training interventions of providers could be considered.

Predictive analytics in the pediatric intensive care unit for early identification of sepsis: capturing the context of age.

BACKGROUND: Early recognition of patients at risk for sepsis is paramount to improve clinical outcomes. We hypothesized that subtle signatures of illness are present in physiological and biochemical time series of pediatric-intensive care unit (PICU) patients in the early stages of sepsis. METHODS: We developed multivariate models in a retrospective observational cohort to predict the clinical diagnosis of sepsis in children. We focused on age as a predictor and asked whether random forest models, with their potential for multiple cut points, had better performance than logistic regression. RESULTS: One thousand seven hundred and eleven admissions for 1425 patients admitted to a mixed cardiac and medical/surgical PICU were included. We identified, through individual chart review, 187 sepsis diagnoses that were not within 14 days of a prior sepsis diagnosis. Multivariate models predicted sepsis in the next 24 h: cross-validated C-statistic for logistic regression and random forest were 0.74 (95% confidence interval (CI): 0.71-0.77) and 0.76 (95% CI: 0.73-0.79), respectively. CONCLUSIONS: Statistical models based on physiological and biochemical data already available in the PICU identify high-risk patients up to 24 h prior to the clinical diagnosis of sepsis. The random forest model was superior to logistic regression in capturing the context of age.