Assessing the association between antibody status and symptoms of long COVID: A multisite study.

The association between SARS-CoV-2 humoral immunity and post-acute sequelae of COVID-19 (long COVID) remains uncertain. The objective of this population-based cohort study was to assess the association between SARS-CoV-2 seropositivity and symptoms consistent with long COVID. English and Spanish-speaking members ≥ 18 years old with SARS-CoV-2 serologic testing conducted prior to August 2021 were recruited from Kaiser Permanente Southern California and Kaiser Permanente Colorado. Between November 2021 and April 2022, participants completed a survey assessing symptoms, physical health, mental health, and cognitive function consistent with long COVID. Survey results were linked to SARS-CoV-2 antibody (Ab) and viral (RNA) lab results in electronic health records. Weighted descriptive analyses were generated for five mutually exclusive patient groups: (1) +Ab/+RNA; (2) +Ab/- or missing RNA; (3) -Ab/+RNA; (4a) -Ab/-RNA reporting no prior infection; and (4b) -Ab/-RNA reporting prior infection. The proportions reporting symptoms between the +Ab/+RNA and -Ab/+RNA groups were compared, adjusted for covariates. Among 3,946 participants, the mean age was 52.1 years old (SD 15.6), 68.3% were female, 28.4% were Hispanic, and the serologic testing occurred a median of 15 months prior (IQR = 12-18). Three quarters (74.5%) reported having had COVID-19. Among people with laboratory-confirmed COVID-19, there was no association between antibody positivity (+Ab/+RNA vs. -Ab/+RNA) and any symptoms, physical health, mental health, or cognitive function. As expected, physical health, cognitive function, and fatigue were worse, and palpitations and headaches limiting the ability to work were more prevalent among people with laboratory-confirmed prior infection and positive serology (+Ab/+RNA) compared to those without reported or confirmed prior infection and negative serology (-Ab/-RNA/no reported COVID-19). Among people with laboratory-confirmed COVID-19, SARS-CoV-2 serology from practice settings were not associated with long COVID symptoms and health status suggesting limited utility of serology testing for long COVID.

Association between severe acute respiratory syndrome coronavirus 2 antibody status and reinfection: A case-control study nested in a Colorado-based prospective cohort study.

The association between the presence of detectable antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and SARS-CoV-2 reinfection is not well established. The objective of this study was to determine the association between antibody seronegativity and reinfection. METHODS: Participants in Colorado, USA, were recruited between June 15, 2020, and March 28, 2021, and encouraged to complete SARS-CoV-2 molecular ribonucleic acid (RNA) and serology testing for antibodies every 28 days for 10 months. Participants with reinfections (positive SARS-CoV-2 RNA test ≥ 90 days after the first positive RNA test) were matched to controls without reinfections by age, sex, date of the first positive RNA test, date of the last serology test, and serology test type. Using conditional logistic regression, case patients were compared to control patients on the last serologic test result, with adjustment for demographic and clinical confounders. RESULTS: The cohort (n = 4,235) included 2,033 participants with ≥ 1 positive RNA test, of whom 120 had reinfection. Among the 80 case patients who could be matched, the last serologic test was negative in 12 of the cases (15.0 %) whereas the last serologic test was negative in 77 of 1,034 (7.5 %) controls. Seronegativity (adjusted OR [aOR] 2.24; 95 % CI 1.07, 4.68), Hispanic ethnicity (aOR 1.87; 95 % 1.10, 3.18), and larger household size (aOR 1.15; 95 % 1.01, 1.30 for each additional household member) were associated with reinfection. CONCLUSIONS: Seronegative status, Hispanic ethnicity, and increasing household size were associated with reinfection. Serologic testing could be considered to reduce vaccine hesitancy in higher risk populations.

Associations between Missed Colonoscopy Appointments and Multiple Prior Adherence Behaviors in an Integrated Healthcare System: An Observational Study.

BACKGROUND: Missed colonoscopy appointments delay screening and treatment for gastrointestinal disorders. Prior nonadherence with other care components may be associated with missed colonoscopy appointments. OBJECTIVE: To assess variability in prior adherence behaviors and their association with missed colonoscopy appointments. DESIGN: Retrospective cohort study. PARTICIPANTS: Patients scheduled for colonoscopy in an integrated healthcare system between January 2016 and December 2018. MAIN MEASURES: Prior adherence behaviors included: any missed outpatient appointment in the previous year; any missed gastroenterology clinic or colonoscopy appointment in the previous 2 years; and not obtaining a bowel preparation kit pre-colonoscopy. Other sociodemographic, clinical, and system characteristics were included in a multivariable model to identify independent associations between prior adherence behaviors and missed colonoscopy appointments. KEY RESULTS: The median age of the 57,590 participants was 61 years; 52.8% were female and 73.4% were white. Of 77,684 colonoscopy appointments, 3,237 (4.2%) were missed. Individuals who missed colonoscopy appointments were more likely to have missed a previous primary care appointment (62.5% vs. 38.4%), a prior gastroenterology appointment (18.4% vs. 4.7%) or not to have picked up a bowel preparation kit (42.4% vs. 17.2%), all p < 0.001. Correlations between the three adherence measures were weak (phi < 0.26). The rate of missed colonoscopy appointments increased from 1.8/100 among individuals who were adherent with all three prior care components to 24.6/100 among those who were nonadherent with all three care components. All adherence variables remained independently associated with nonadherence with colonoscopy in a multivariable model that included other covariates; adjusted odds ratios (with 95% confidence intervals) were 1.6 (1.5-1.8) for outpatient appointments, 1.9 (1.7-2.1) for gastroenterology appointments, and 3.1 (2.9-3.4) for adherence with bowel preparation kits, respectively. CONCLUSIONS: Three prior adherence behaviors were independently associated with missed colonoscopy appointments. Studies to predict adherence should use multiple, complementary measures of prior adherence when available.

Aligning care with the personal values of patients with complex care needs.

OBJECTIVE: To identify opportunities to align care with the personal values of patients from three distinct groups with complex medical, behavioral, and social needs. DATA SOURCES/STUDY SETTING: Between June and August 2019, we conducted semi-structured interviews with individuals with complex care needs in two integrated health care delivery systems. STUDY DESIGN: Qualitative study using semi-structured interviews. DATA COLLECTION METHODS: We interviewed three groups of patients at Kaiser Permanente Washington and Kaiser Permanente Colorado representing three distinct profiles of complex care needs: Group A ("obesity, opioid prescription, and low-resourced neighborhood"), Group B ("older, high medical morbidity, emergency department, and hospital use"), and Group C ("older, mental and physical health concerns, and low-resourced neighborhood"). These profiles were identified based on prior work and prioritized by internal primary care stakeholders. Interview transcripts were analyzed using thematic analysis. PRINCIPAL FINDINGS: Twenty-four patients participated; eight from each complex needs profile. Mean age across groups was 71 (range 48-86) years. We identified five themes common across the three groups that captured patients' views regarding values-aligned care. These themes focused on the importance of care teams exploring and acknowledging a patient's values, providing access to nonphysician providers who have different perspectives on care delivery, offering values-aligned mental health care, ensuring connection to community-based resources that support values and address needs, and providing care that supports the patient plus their family and caregivers. CONCLUSIONS: Our results suggest several opportunities to improve how care is delivered to patients with different complex medical, behavioral, and social needs. Future research is needed to better understand how to incorporate these opportunities into health care.

Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System.

Importance: Health care systems deliver automated text or telephone messages to remind patients of appointments and to provide health information. Patients who receive multiple messages may demonstrate message fatigue by opting out of future messages. Objective: To assess whether the volume of automated text or interactive voice response (IVR) telephone messages is associated with the likelihood of patients requesting to opt out of future messages. Design, Setting, and Participants: This retrospective cohort study was conducted at Kaiser Permanente Colorado (KPCO), an integrated health care system. All adult members who received 1 or more automated text or IVR message between October 1, 2018, and September 30, 2019, were included. Exposures: Receipt of automated text or IVR messages. Main Outcomes and Measures: Message volume and opt-out rates obtained from messaging systems over 1 year. Results: Of the 428 242 adults included in this study, 59.7% were women, and 66.5% were White; the mean (SD) age was 52.3 (17.7) years. During the study period, 84.1% received 1 or more text messages (median, 4 messages; interquartile range, 2-8 messages) and 67.8% received 1 or more IVR messages (median, 3 messages; interquartile range, 1-6 messages). A total of 8929 individuals (2.5%) opted out of text messages, and 4392 (1.5%) opted out of IVR messages. In multivariable analyses, individuals who received 10 to 19.9 or 20 or more text messages per year had higher opt-out rates for text messages compared with those who received fewer than 2 messages per year (adjusted odds ratio [aOR]: 10-19.9 vs <2 messages, 1.27 [95% CI, 1.17-1.38]; ≥20 vs <2 messages, 3.58 [95% CI, 3.28-3.91]), whereas opt-out rates increased progressively in association with IVR message volume, with the highest rates among individuals who received 10.0 to 19.9 messages (aOR, 11.11; 95% CI, 9.43-13.08) or 20.0 messages or more (aOR, 49.84; 95% CI, 42.33-58.70). Individuals opting out of text messages were more likely to opt out of IVR messages (aOR, 4.07; 95% CI, 3.65-4.55), and those opting out of IVR messages were more likely to opt out of text messages (aOR, 5.92; 95% CI, 5.29-6.61). Conclusions and Relevance: In this cohort study among adult members of an integrated health care system, requests to discontinue messages were associated with greater message volume. These findings suggest that, to preserve the benefits of automated outreach, health care systems should use these messages judiciously to reduce message fatigue.

'Using Q-methodology to Explore What is Valued from Child Sexual Exploitation Services: The Importance of Safety'.

Child Sexual Exploitation (CSE) is a complex international issue requiring specialist multi-agency support. There is evidence that survivors of CSE are likely to experience mental health difficulties and have long-term psychological needs in response to trauma. However evidence regarding services and interventions for these difficulties is limited. This study explored viewpoints of key stakeholders, such as young people and frontline staff, about CSE services. Participants were recruited from services that support young people who have experienced CSE. The sample consisted of 18 participants; nine young people and nine professionals. Q-methodology was used to investigate subjective viewpoints regarding this topic. Statements about CSE interventions and services were collected from the existing literature and validated to form a Q-set. Participants sorted the Q-set from most to least important. Q-sorts were subjected to factor analysis using Q-methodology software. Three factors were identified: (1) The importance of safety and attunement, (2) Managing trauma and mental health difficulties and (3) Family, normality, and a relaxed approach. All factors emphasized the importance of safety and trust between young people and professionals. Key areas that may benefit service design were identified. Primarily, young people are likely to benefit from specialist support promoting a trauma-informed and relational approach.

The relationship among BSN students' employment, educational, and health-related characteristics and semester grades: A multi-site study.

BACKGROUND: While many nursing students work during clinical semesters, little is known about employment characteristics and relationships among employment, academic success and other variables. PURPOSE: To describe the demographic, educational, and health-related characteristics of clinical nursing students and the relationships among employment, semester grades and other characteristics. METHOD: Descriptive, correlational. RESULTS: Participants were BSN students (N = 1014) from four southern US universities who were 22.6 years old (SD = 4.6) and most likely to be Caucasian (N = 832, 82%) never married (N = 852, 84%) females (N = 886, 87%) with mean GPA of 2.97 (SD = 0.61). Most students (N = 670, 66%) reported semester employment averaging 16.7 (SD = 8.3) hours/week. Although no relationship was found between hours worked and semester GPA (r = -0.017, p = .588), race/ethnicity (F [2, 1003] = 19.87, p < .0001) and nighttime sleep hours (F [3, 997] = 7.841, p < .0001) had significant effects. Students working in healthcare had higher GPAs (M = 3.09, SD = 0.61, p < .0001) than non-healthcare workers. Students working daytime (M = 3.04, SD = 0.65, p = .031) or irregular shifts (M = 3.04, SD = 0.56, p = .036) had higher GPAs than students working evenings. CONCLUSION: While employment status did not influence GPA, race/ethnicity and amount of reported sleep did. Additional research is needed to provide evidence-based advisement recommendations for employed students.

Geospatial Monitoring of Body Mass Index: Use of Electronic Health Record Data Across Health Care Systems.

OBJECTIVES: The Colorado BMI Monitoring System was developed to assess geographic (ie, census tract) patterns of obesity prevalence rates among children and adults in the Denver-metropolitan region. This project also sought to assess the feasibility of a surveillance system that integrates data across multiple health care and governmental organizations. MATERIALS AND METHODS: We extracted data on height and weight measures, obtained through routine clinical care, from electronic health records (EHRs) at multiple health care sites. We selected sites from 5 Denver health care systems and collected data from visits that occurred between January 1, 2013, and December 31, 2015. We produced shaded maps showing observed obesity prevalence rates by census tract for various geographic regions across the Denver-metropolitan region. RESULTS: We identified clearly distinguishable areas by higher rates of obesity among children than among adults, with several pockets of lower body mass index. Patterns for adults were similar to patterns for children: the highest obesity prevalence rates were concentrated around the central part of the metropolitan region. Obesity prevalence rates were moderately higher along the western and northern areas than in other parts of the study region. PRACTICE IMPLICATIONS: The Colorado BMI Monitoring System demonstrates the feasibility of combining EHRs across multiple systems for public health and research. Challenges include ensuring de-duplication across organizations and ensuring that geocoding is performed in a consistent way that does not pose a risk for patient privacy.

Estimating Childhood Obesity Prevalence in Communities Through Multi-institutional Data Sharing.

CONTEXT: Although local childhood obesity prevalence estimates would be valuable for planning and evaluating obesity prevention efforts in communities, these data are often unavailable. OBJECTIVE: The primary objective was to create a multi-institutional system for sharing electronic health record (EHR) data to produce childhood obesity prevalence estimates at the census tract level. A secondary objective was to adjust obesity prevalence estimates to population demographic characteristics. DESIGN/SETTING/PARTICIPANTS: The study was set in Denver County, Colorado. Six regional health care organizations shared EHR-derived data from 2014 to 2016 with the state health department for children and adolescents 2 to 17 years of age. The most recent height and weight measured during routine care were used to calculate body mass index (BMI); obesity was defined as BMI of 95th percentile or more for age and sex. Census tract location was determined using residence address. Race/ethnicity was imputed when missing, and obesity prevalence estimates were adjusted by sex, age group, and race/ethnicity. MAIN OUTCOME MEASURE(S): Adjusted obesity prevalence estimates, overall, by demographic characteristics and by census tract. RESULTS: BMI measurements were available for 89 264 children and adolescents in Denver County, representing 73.9% of the population estimate from census data. Race/ethnicity was missing for 4.6%. The county-level adjusted childhood obesity prevalence estimate was 13.9% (95% confidence interval, 13.6-14.1). Adjusted obesity prevalence was higher among males, those 12 to 17 years of age, and those of Hispanic race/ethnicity. Adjusted obesity prevalence varied by census tract (range, 0.4%-24.7%). Twelve census tracts had an adjusted obesity prevalence of 20% or more, with several contiguous census tracts with higher childhood obesity occurring in western areas of the city. CONCLUSIONS: It was feasible to use a system of multi-institutional sharing of EHR data to produce local childhood obesity prevalence estimates. Such a system may provide useful information for communities when implementing obesity prevention programs.

Development of best practice recommendations for the safe use of pulmonary hypertension pharmacotherapies using a modified Delphi method.

PURPOSE: The Delphi method was used to develop best practice recommendations (BPR) for safe use of pulmonary hypertension (PH) pharmacotherapies and to describe the pharmacist's role in provision of care. METHODS: A core group reviewed PH medication-safety literature and developed initial BPR. Pharmacists practicing at PH-accredited Centers of Comprehensive Care who met defined PH expert criteria were invited to participate on an expert panel. In round 1 of a 4-round Delphi process, expert input was provided on the BPR. Feedback was incorporated into BPR for the next round. Round 2 proceeded in identical fashion to round 1. In round 3, BPR were deliberated in a teleconference and underwent voting at the cessation of the round using a 5-point Likert scale. Median scores of < 2.5, 2.5-3.75, and > 3.75 resulted in a best practice statement being rejected, reviewed in round 4, or accepted in the final BPR, respectively. In round 4, the remaining BPR were discussed and underwent voting. BPR were assigned a level of evidence and strength of recommendation based on voting results. RESULTS: Eleven PH experts agreed to participate and met expert inclusion criteria, along with 2 pharmacists from the core group, bringing the total number of expert panel members to 13. To guide safe use of PH pharmacotherapies, 26 BPR were developed, categorized into 5 practice domains, comprising the PH Care Center accreditation process, inpatient practice, formulary management, diagnostics, and ambulatory care. BPR included provisions for safe use of parenteral prostacyclin agents and healthcare practitioner education. CONCLUSION: The Delphi method was used to develop BPR to guide safe use of PH pharmacotherapies.

Impostorism: An evolutionary concept analysis.

AIM: The aim of this study was to explore the concept of impostorism as applied to nursing and other disciplines. BACKGROUND: Impostorism has not been well defined or studied in nursing. Researchers have not studied connections between role transition stress of new graduates and impostorism, despite evidence that nursing students experience impostorism during undergraduate studies. DESIGN: Rodgers' evolutionary concept analysis was the method used in this study. DATA SOURCES: The databases used were Academic Search Complete, Cumulative Index to Nursing and Allied Health Literature, Health and Psychosocial Instruments, Health Source: Nursing/Academic Edition, Medical Literature Analysis and Retrieval System Online, PsycARTICLES, Psychology and Behavioral Sciences Collection, PsycINFO, SocINDEX, and Dissertations and Theses databases. REVIEW METHODS: All nursing-specific citations were included in the literature sample. Of the remaining non-nursing citations, stratified random sampling provided 28 non-nursing citations. An additional purposive sampling of seminal impostorism publications resulted in 46 resources for analysis. RESULTS: Concept analysis revealed that key attributes of impostorism include fear of failure and difficulty accepting praise. Impostorism antecedents relate to personality, attribution, family, workplace, and sociodemographic variables. According to concept analysis, a conceptual definition emerges of impostorism as a subjective, inaccurate self-assessment involving feelings of intellectual and professional incompetence and fraudulence despite external evidence of success. CONCLUSION: Impostorism has undergone evolutionary changes in various disciplines. However, the nursing discipline needs more research related to nurses' experiences with impostorism in the workplace.

Improvements in access and care through the Affordable Care Act.

OBJECTIVES: To examine the impact of enrolling in a healthcare plan through the Affordable Care Act (ACA) healthcare exchanges on self-reported access to care. STUDY DESIGN: Cohort study using self-reported data of patients newly enrolled in Kaiser Permanente California and Kaiser Permanente Colorado through the ACA healthcare exchanges for coverage beginning January 1, 2014. METHODS: Baseline and follow-up surveys conducted via mail and telephone, with response rates of 45% and 51%, respectively. RESULTS: We found significant increases in the percentage of people who reported having a personal healthcare provider (59% vs 73%; P <.01) and significant decreases in those who reported delaying needed medical care due to costs (37% vs 25%; P <.01) before and after ACA enrollment. There was also a significant increase in the percentage of patients who reported receiving a flu shot during the prior year (41% vs 52%; P <.01). Among the people who reported having less than 4 months of healthcare coverage in 2013, these improvements were even more pronounced. This group also showed significant increases in the percentages who felt they had a place to go when they needed medical care (43% vs 56%; P <.01) and who reported they received advice to quit smoking or using tobacco (46% vs 72%; P <.05). CONCLUSIONS: These findings are an important addition to the evidence base that the ACA is improving the healthcare experience and reducing barriers due to costs for individuals obtaining insurance coverage through the healthcare exchanges.

The Spatial Distribution of Adult Obesity Prevalence in Denver County, Colorado: An Empirical Bayes Approach to Adjust EHR-Derived Small Area Estimates.

OBJECTIVES: Measuring obesity prevalence across geographic areas should account for environmental and socioeconomic factors that contribute to spatial autocorrelation, the dependency of values in estimates across neighboring areas, to mitigate the bias in measures and risk of type I errors in hypothesis testing. Dependency among observations across geographic areas violates statistical independence assumptions and may result in biased estimates. Empirical Bayes (EB) estimators reduce the variability of estimates with spatial autocorrelation, which limits the overall mean square-error and controls for sample bias. METHODS: Using the Colorado Body Mass Index (BMI) Monitoring System, we modeled the spatial autocorrelation of adult (≥ 18 years old) obesity (BMI ≥ 30 kg m2) measurements using patient-level electronic health record data from encounters between January 1, 2009, and December 31, 2011. Obesity prevalence was estimated among census tracts with >=10 observations in Denver County census tracts during the study period. We calculated the Moran's I statistic to test for spatial autocorrelation across census tracts, and mapped crude and EB obesity prevalence across geographic areas. RESULTS: In Denver County, there were 143 census tracts with 10 or more observations, representing a total of 97,710 adults with a valid BMI. The crude obesity prevalence for adults in Denver County was 29.8 percent (95% CI 28.4-31.1%) and ranged from 12.8 to 45.2 percent across individual census tracts. EB obesity prevalence was 30.2 percent (95% CI 28.9-31.5%) and ranged from 15.3 to 44.3 percent across census tracts. Statistical tests using the Moran's I statistic suggest adult obesity prevalence in Denver County was distributed in a non-random pattern. Clusters of EB obesity estimates were highly significant (alpha=0.05) in neighboring census tracts. Concentrations of obesity estimates were primarily in the west and north in Denver County. CONCLUSIONS: Statistical tests reveal adult obesity prevalence exhibit spatial autocorrelation in Denver County at the census tract level. EB estimates for obesity prevalence can be used to control for spatial autocorrelation between neighboring census tracts and may produce less biased estimates of obesity prevalence.

Applying Sequential Analytic Methods to Self-Reported Information to Anticipate Care Needs.

PURPOSE: Identifying care needs for newly enrolled or newly insured individuals is important under the Affordable Care Act. Systematically collected patient-reported information can potentially identify subgroups with specific care needs prior to service use. METHODS: We conducted a retrospective cohort investigation of 6,047 individuals who completed a 10-question needs assessment upon initial enrollment in Kaiser Permanente Colorado (KPCO), a not-for-profit integrated delivery system, through the Colorado State Individual Exchange. We used responses from the Brief Health Questionnaire (BHQ), to develop a predictive model for cost for receiving care in the top 25 percent, then applied cluster analytic techniques to identify different high-cost subpopulations. Per-member, per-month cost was measured from 6 to 12 months following BHQ response. RESULTS: BHQ responses significantly predictive of high-cost care included self-reported health status, functional limitations, medication use, presence of 0-4 chronic conditions, self-reported emergency department (ED) use during the prior year, and lack of prior insurance. Age, gender, and deductible-based insurance product were also predictive. The largest possible range of predicted probabilities of being in the top 25 percent of cost was 3.5 percent to 96.4 percent. Within the top cost quartile, examples of potentially actionable clusters of patients included those with high morbidity, prior utilization, depression risk and financial constraints; those with high morbidity, previously uninsured individuals with few financial constraints; and relatively healthy, previously insured individuals with medication needs. CONCLUSIONS: Applying sequential predictive modeling and cluster analytic techniques to patient-reported information can identify subgroups of individuals within heterogeneous populations who may benefit from specific interventions to optimize initial care delivery.

Characteristics of Newly Enrolled Members of an Integrated Delivery System after the Affordable Care Act.

Of 89,289 newly enrolled non-Medicare members, 25.3% completed the Brief Health Questionnaire between 1/1/2014, and 8/31/2014. Of these, 3593 respondents were insured through Medicaid, 9434 through the individual health exchange, and 9521 through primarily commercial plans. Of Medicaid, exchange, and commercial members, 19.5%, 7.1%, and 5.3%, respectively, self-reported fair or poor health; 12.9%, 2.0%, and 3.3% of each group self-reported 2 or more Emergency Department visits during the previous year; and 8.1%, 4.3%, and 4.4% self-reported an inpatient admission during the previous year.

Use of Activated Factor VII in Patients with Diffuse Alveolar Hemorrhage: A 10 Years Institutional Experience.

INTRODUCTION: Diffuse alveolar hemorrhage (DAH) is a life-threatening condition with an obscure etiology and pathogenesis. It is associated with many drugs and diseases including chemotherapy, hematopoietic stem cell transplantation, and autoimmune disorders. This retrospective study reports our experience with 23 patients who had DAH and received intravenous recombinant activated Factor VIIa (rFVIIa). METHODS: We performed a retrospective chart review of patients who received intravenous rFVIIa for DAH at a tertiary care university hospital between January 1, 2003 and May 31, 2013. We report demographics, etiology of DAH, frequency and total dose of intravenous rFVIIa, effect of rFVIIa on DAH, and morbidity and mortality. RESULTS: Mean age was 47 ± 19 years. There were 13 men and 10 women. Nine patients had Anti-neutrophil cytoplasmic antibody (ANCA) vasculitis, two had systemic lupus erythematosus, three had Good pasture's syndrome, seven were post-bone marrow transplant, one had idiopathic thrombocytopenic purpura, and one had cryoglobulinemia. Treatment in the ICU was required for 22 patients of whom 18 were intubated and on mechanical ventilation; one patient was treated on general medical service. All patients received 35-120 mcg/kg rFVIIa every 2 h until hemostasis was achieved or treatment was judged to be inadequate. In 22/23 patients, bleeding resolved with rFVIIa therapy. The mean dose to control bleeding was 5 ± 3 mg. Eight patients died (36 %) of their underlying condition; six of them had received bone marrow transplant, while two had ANCA vasculitis. Deaths were due to multiorgan failure, sepsis, and progressive underlying disease. No overt, clinically obvious adverse thrombotic events were observed with the use of rFVIIa. CONCLUSION: Activated Factor VII can achieve hemostasis in patients with diffuse alveolar hemorrhage.

Effectiveness of primary care-public health collaborations in the delivery of influenza vaccine: a cluster-randomized pragmatic trial.

OBJECTIVE: To assess effectiveness and feasibility of public-private collaboration in delivering influenza immunization to children. METHODS: Four pediatric and four family medicine (FM) practices in Colorado with a common public health department (PHD) were randomized at the beginning of baseline year (10/2009) to Intervention (joint community clinics and PHD nurses aiding in delivery at practices); or control involving usual care without PHD. Generalized estimating equations compared changes in rates over baseline between intervention and control practices at end of 2nd intervention year (Y2=5/2011). Barriers to collaboration were examined using qualitative methods. RESULTS: Overall, rates increased from baseline to Y2 by 9.2% in intervention and 3.2% in control (p<.0001), with significant increases in both pediatric and FM practices. The largest increases were seen among school-aged and adolescent children (p<.0001 for both), with differences for 6-month-old to 5-year-old children and for children with high-risk conditions not reaching significance. Barriers to collaboration included uncertainty regarding the delivery of vaccine supplies, concerns about using up all purchased vaccine by practices, and concerns about documentation of vaccination if collaboration occurred. CONCLUSIONS: In spite of barriers, public-private collaboration resulted in significantly higher influenza immunization rates, particularly for older, healthy children who visit providers less frequently.

Things are not as bad as they seem: physicians' ability to predict their clinical practice when a new vaccine becomes available.

Survey results regarding primary care physicians' likelihood of recommending a new vaccine were compared before and after the vaccine was licensed by the Food and Drug Administration for three new vaccines: herpes zoster (HZ), human papillomavirus (HPV) and rotavirus (RV), using physician networks representative of United States physicians. The main purpose of this study was to determine (a) how accurately physicians predict their eventual vaccine recommendations and the barriers they will experience in delivering the new vaccine and (b) whether physicians shift towards more or less strongly recommending a new vaccine from pre- to post-licensure. Responses from 284, 152 and 184 physicians were analyzed for the three vaccines, respectively. For all vaccines, there was a significant association between physicians' pre- and post-licensure recommendations (p<0.05). When responses changed from pre- to post-licensure, physicians tended to recommend a given vaccine more strongly than they had anticipated pre-licensure. Before vaccine availability, physicians tended to predict greater barriers to vaccine delivery than they eventually experienced. Surveys are useful for predicting physician practices, but may provide a slightly pessimistic view of physician adoption of new vaccines. Such data can be helpful in devising strategies to encourage vaccine delivery by physicians.

Adolescents' perspectives on vaccination outside the traditional medical home: a survey of urban middle and high school students.

Eleventh- and 6th-grade students from an urban public school district were surveyed concerning vaccination outside the traditional medical home. Survey response rates were 50% for 11th- and 73% for 6th-grade students. Seventy-two percent of 11th-grade students reported that public health clinics were definitely or probably acceptable locations for vaccination; 70% reported this for emergency departments, 65% for school-based health centers, 55% for family planning clinics, and 44% for obstetrics/gynecology clinics. Corresponding percentages for 6th-grade students were 60% for public health clinics, 49% for emergency departments, 39% for school-based health centers, and 36% for family planning clinics. Sixth-grade students were not asked about obstetrics/gynecology clinics. Forty-seven percent of respondents identified a doctor's office as the "best" setting to receive vaccines, more than identified any other setting. We concluded that vaccination in one or more settings outside the traditional medical home was acceptable to most adolescents.

Effectiveness and cost of immunization recall at school-based health centers.

BACKGROUND AND OBJECTIVE: Effectiveness of recall for immunizations has not been examined in the setting of school-based health centers (SBHCs). We assessed (1) immunization rates achieved with recall among sixth-grade girls (demonstration study); (2) effectiveness of recall among sixth-grade boys (randomized controlled trial [RCT]); and (3) cost of conducting recall in SBHCs. METHODS: During October 2008 through March 2009, in 4 Denver public SBHCs, we conducted (1) a demonstration study among 265 girls needing ≥ 1 recommended adolescent vaccine and (2) an RCT among 264 boys needing vaccines, with half randomized to recall and half receiving usual care. Immunization rates for recommended adolescent vaccines were assessed 6 months after recall. First dose costs were assessed by direct observation and examining invoices. RESULTS: At the end of the demonstration study, 77% of girls had received ≥ 1 vaccine and 45% had received all needed adolescent vaccines. Rates of receipt among those needing each of the vaccines were 68% (160/236) for tetanus toxoid, reduced diphtheria toxoid and acellular pertussis vaccine, 57% (142/248) for quadrivalent meningococcal conjugate vaccine, and 59% (149/253) for the first human papillomavirus vaccine. At the end of the RCT, 66% of recalled boys had received ≥ 1 vaccine and 59% had received all study vaccines, compared with 45% and 36%, respectively, of the control group (P < .001). Cost of conducting recall ranged from $1.12 to $6.87 per recalled child immunized. CONCLUSIONS: SBHC-based recall was effective in improving immunization rates for all adolescent vaccines, with effects sizes exceeding those achieved with younger children in practice settings.