Wastewater Surveillance for Identifying SARS-CoV-2 Infections in Long-Term Care Facilities, Kentucky, USA, 2021-2022.

Persons living in long-term care facilities (LTCFs) were disproportionately affected by COVID-19. We used wastewater surveillance to detect SARS-CoV-2 infection in this setting by collecting and testing 24-hour composite wastewater samples 2-4 times weekly at 6 LTCFs in Kentucky, USA, during March 2021-February 2022. The LTCFs routinely tested staff and symptomatic and exposed residents for SARS-CoV-2 using rapid antigen tests. Of 780 wastewater samples analyzed, 22% (n = 173) had detectable SARS-CoV-2 RNA. The LTCFs reported 161 positive (of 16,905) SARS-CoV-2 clinical tests. The wastewater SARS-CoV-2 signal showed variable correlation with clinical test data; we observed the strongest correlations in the LTCFs with the most positive clinical tests (n = 45 and n = 58). Wastewater surveillance was 48% sensitive and 80% specific in identifying SARS-CoV-2 infections found on clinical testing, which was limited by frequency, coverage, and rapid antigen test performance.

Wastewater Surveillance for Xylazine in Kentucky.

Introduction: In the U.S., xylazine, the veterinary non-opioid sedative, has emerged as a major threat to people who use illicitly manufactured fentanyl and other drugs. The aim of this study was to compare wastewater detection of xylazine with other public health and safety surveillance data from 2019 to 2023 in Kentucky. Methods: Wastewater samples from 5 rest areas, 2 truck weigh stations, and 4 wastewater treatment plants were tested for xylazine. Wastewater xylazine positivity rates were compared with xylazine-positive submission rates from the National Forensic Laboratory Information System and Kentucky's fatal overdoses in 6-month periods (Period 1=January-June; Period 2=July-December). Results: Xylazine was detected in 61.6% (424 of 688) of daily wastewater samples from roadway sites/wastewater treatment plants. For roadways, detection increased from 55% (Period 1, 2021) to 94% (Period 1, 2023), and wastewater treatment plants had an overall detection of 25.8% (n=66 samples, Periods 1 and 2, 2022). Increasing roadway positivity corresponded to trends in National Forensic Laboratory Information System xylazine-positive submission rates: from 0.19 per 1,000 submissions (Period 1, 2019) to 2.9 per 1,000 (Period 2, 2022, latest available). No deaths from xylazine were reported publicly in Kentucky, although this study's authors identified 1-4 deaths (true count suppressed) in the overdose surveillance system, which, in back-of-the-envelope comparisons with other states, is far fewer than expected. Conclusions: Wastewater signals indicate broad geographic exposure to xylazine in Kentucky, yet health outcomes data suggest otherwise. These findings may inform regional, national, and international efforts to incorporate wastewater-based drug surveillance. Harm-reduction activities along roadways and other suitable locations may be needed.

COVID-19 infection and incident diabetes in American Indian and Alaska Native people: a retrospective cohort study.

Background: Evidence suggests an increased risk of new-onset diabetes following COVID-19 infection. American Indian/Alaska Native (AI/AN) people were disparately impacted by the COVID-19 pandemic and historically have had higher diabetes incidence than other racial/ethnic groups in the US. We measured the association between COVID-19 infection and incident diabetes in AI/AN people. Methods: We conducted a retrospective cohort study using de-identified patient data from the Indian Health Service's (IHS) National Patient Information Reporting System. We estimated age-adjusted diabetes incidence rates, incidence rate ratios, and adjusted hazard ratios among three cohorts spanning pre-pandemic (1/1/2018-2/28/2020) and pandemic (3/1/2020-12/31/2021) timeframes: 1) pre-pandemic cohort (1,503,085 individuals); 2) no-COVID-19 pandemic cohort (1,344,339 individuals); and 3) COVID-19 cohort (176,483 individuals). Findings: The COVID-19 cohort had an increased hazard of diabetes compared to the no-COVID-19 group (adjusted hazard ratio (aHR) = 1.56; 95% CI: 1.50-1.62) and the pre-pandemic group (aHR = 1.27; 95% CI: 1.22-1.32). The association between COVID-19 infection and new-onset diabetes was stronger in those with severe COVID-19 illness. A sensitivity analysis comparing the COVID-19 cohort to members of other cohorts that had acute upper respiratory infections showed an attenuated but higher risk of new-onset diabetes in those with COVID-19. Interpretation: AI/AN people diagnosed with COVID-19 had an elevated risk of a new diabetes diagnosis when compared to the no-COVID-19 group and the pre-pandemic group. The increased diabetes risk in the COVID-19 group remained in a sensitivity analysis that limited the comparator groups to individuals with an AURI diagnosis. Funding: US National Institute of Diabetes and Digestive and Kidney Diseases.

Simple SARS-CoV-2 concentration methods for wastewater surveillance in low resource settings.

Wastewater-based epidemiology (WBE) measures pathogens in wastewater to monitor infectious disease prevalence in communities. Due to the high dilution of pathogens in sewage, a concentration method is often required to achieve reliable biomarker signals. However, most of the current concentration methods rely on expensive equipment and labor-intensive processes, which limits the application of WBE in low-resource settings. Here, we compared the performance of four inexpensive and simple concentration methods to detect SARS-CoV-2 in wastewater samples: Solid Fraction, Porcine Gastric Mucin-conjugated Magnetic Beads, Calcium Flocculation-Citrate Dissolution (CFCD), and Nanotrap® Magnetic Beads (NMBs). The NMBs and CFCD methods yielded the highest concentration performance for SARS-CoV-2 (∼16-fold concentration and âˆ¼ 41 % recovery) and require <45 min processing time. CFCD has a relatively low consumable cost (<$2 per four sample replicates). All methods can be performed with basic laboratory equipment and minimal electricity usage which enables further application of WBE in remote areas and low resource settings.

Improving wastewater-based epidemiology performance through streamlined automation.

Wastewater-based epidemiology (WBE) has enabled us to describe Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections in populations. However, implementation of wastewater monitoring of SARS-CoV-2 is limited due to the need for expert staff, expensive equipment, and prolonged processing times. As WBE increases in scope (beyond SARS-CoV-2) and scale (beyond developed regions), there is a need to make WBE processes simpler, cheaper, and faster. We developed an automated workflow based on a simplified method termed exclusion-based sample preparation (ESP). Our automated workflow takes 40 min from raw wastewater to purified RNA, which is several times faster than conventional WBE methods. The total assay cost per sample/replicate is $6.50 which includes consumables and reagents for concentration, extraction, and RT-qPCR quantification. The assay complexity is reduced significantly, as extraction and concentration steps are integrated and automated. The high recovery efficiency of the automated assay (84.5 ± 25.4%) yielded an improved Limit of Detection (LoDAutomated=40 copies/mL) compared to the manual process (LoDManual=206 copies/mL), increasing analytical sensitivity. We validated the performance of the automated workflow by comparing it with the manual method using wastewater samples from several locations. The results from the two methods correlated strongly (r = 0.953), while the automated method was shown to be more precise. In 83% of the samples, the automated method showed lower variation between replicates, which is likely due to higher technical errors in the manual process e.g., pipetting. Our automated wastewater workflow can support the expansion of WBE in the fight against Coronavirus Disease of 2019 (COVID-19) and other epidemics.

COVID-19 in Patients with a Primary Refugee-Associated Language in a Kentucky Emergency Department During 2020.

COVID-19 has heavily impacted the refugee population in the United States due to exposure risks, living and working conditions, and healthcare access, but little is known about outcomes. We reviewed emergency department visits to a Kentucky hospital among 2163 patients from March-December 2020, studying incidence of COVID-19 diagnosis for patients with a primary refugee-associated language compared to English speakers, and outcomes after diagnosis including hospitalization, length of stay, and in-hospital mortality. Patients in the population of interest had higher odds of COVID-19 diagnosis in the hospital (OR = 12.31, 95% CI 7.80-19.40), but, among those with COVID-19, lower odds of hospital admission (OR = 0.58, 95% CI 0.37-0.90) and shorter median length of stay (4.1 vs. 10.5 days) compared to English speakers. The study corroborates reports of comparatively higher COVID-19 incidence in patients speaking a primary refugee-associated language, but implies milder illness severity, possibly reflecting this population's baseline health.

Increased Scholarly Activity: A Benefit of 4-Year Family Medicine Residencies.

INTRODUCTION: The optimal length of Family Medicine Residency is unknown. As part of the American Board of Family Medicine 4-year Length of Training (LoT) pilot project, Naval Hospital Jacksonville (NHJ) maintained a dual-track 3- and 4-year Family Medicine Residency, graduating seven 4-year residents over consecutive 4 years of the LoT program. One measure of success regarding the impact of 4-year residents on program outcomes is scholarly output during residency. MATERIALS AND METHODS: Cumulative scholarly activity points are tracked for all NHJ residents. Cumulative scholarly activity points, points per year per, and raw percentile USMLE/COMLEX scores from academic years 2016-17 to 2019-20 were compared between PGY3 and PGY4 graduates using one-way ANOVA to 95% confidence with post hoc Tukey honestly significant difference pairwise comparison to evaluate pairwise significance between groups where multi-group differences were found. RESULTS: During the 2016-17 through 2019-20 academic years, NHJ had 28 residents complete 3 years of training without interruption (3 Years), 11 residents complete 3 years of training interrupted by general medical officer tours (Resiterns), and 7 residents complete 4 years of training without interruption (4 Years). There were no significant differences in average raw USMLE and COMLEX scores between 3 Year (71%), Resitern (68%), and 4 Year (76%) residents (P = .335). 4-Year residents had significantly more cumulative scholarly points (103) than 3-Year residents (32.6, P < .001) and Resiterns (18.7, P < .001) and also had more cumulative scholarly points per year of residency (27.8) than 3-Year residents (9.8, P < .001) and Resiterns (7.0, P < .001). CONCLUSIONS: An observed benefit of a 4-year Family Medicine Residency was a marked increase in scholarly output at this program.

Wastewater Surveillance for SARS-CoV-2 at Long-Term Care Facilities: Mixed Methods Evaluation.

BACKGROUND: Wastewater surveillance provided early indication of COVID-19 in US municipalities. Residents of long-term care facilities (LTCFs) experienced disproportionate morbidity and mortality early in the COVID-19 pandemic. We implemented LTCF building-level wastewater surveillance for SARS-CoV-2 at 6 facilities in Kentucky to provide early warning of SARS-CoV-2 in populations considered vulnerable. OBJECTIVE: This study aims to evaluate the performance of wastewater surveillance for SARS-CoV-2 at LTCFs in Kentucky. METHODS: We conducted a mixed methods evaluation of wastewater surveillance following Centers for Disease Control and Prevention (CDC) guidelines for evaluating public health surveillance systems. Evaluation steps in the CDC guidelines were engaging stakeholders, describing the surveillance system, focusing the evaluation design, gathering credible evidence, and generating conclusions and recommendations. We purposively recruited stakeholders for semistructured interviews and undertook thematic content analysis of interview data. We integrated wastewater, clinical testing, and process data to characterize or calculate 7 surveillance system performance attributes (simplicity, flexibility, data quality, sensitivity and positive predictive value [PPV], timeliness, representativeness, and stability). RESULTS: We conducted 8 stakeholder interviews. The surveillance system collected wastewater samples (N=811) 2 to 4 times weekly at 6 LTCFs in Kentucky from March 2021 to February 2022. Synthesis of credible evidence indicated variable surveillance performance. Regarding simplicity, surveillance implementation required moderate human resource and technical capacity. Regarding flexibility, the system efficiently adjusted surveillance frequency and demonstrated the ability to detect additional pathogens of interest. Regarding data quality, software identified errors in wastewater sample metadata entry (110/3120, 3.53% of fields), technicians identified polymerase chain reaction data issues (140/7734, 1.81% of reactions), and staff entered all data corrections into a log. Regarding sensitivity and PPV, using routine LTCF SARS-CoV-2 clinical testing results as the gold standard, a wastewater SARS-CoV-2 signal of >0 RNA copies/mL was 30.6% (95% CI 24.4%-36.8%) sensitive and 79.7% (95% CI 76.4%-82.9%) specific for a positive clinical test at the LTCF. The PPV of the wastewater signal was 34.8% (95% CI 27.9%-41.7%) at >0 RNA copies/mL and increased to 75% (95% CI 60%-90%) at >250 copies/mL. Regarding timeliness, stakeholders received surveillance data 24 to 72 hours after sample collection, with delayed reporting because of the lack of weekend laboratory staff. Regarding representativeness, stakeholders identified challenges delineating the population contributing to LTCF wastewater because of visitors, unknown staff toileting habits, and the use of adult briefs by some residents preventing their waste from entering the sewer system. Regarding stability, the reoccurring cost to conduct 1 day of wastewater surveillance at 1 facility was approximately US $144.50, which included transportation, labor, and materials expenses. CONCLUSIONS: The LTCF wastewater surveillance system demonstrated mixed performance per CDC criteria. Stakeholders found surveillance feasible and expressed optimism regarding its potential while also recognizing challenges in interpreting and acting on surveillance data.

Stabilization of SARS-CoV-2 RNA in wastewater via rapid RNA extraction.

Wastewater-based Epidemiology (WBE) has contributed to surveillance of SARS-CoV-2 in communities across the world. Both symptomatic and asymptomatic patients with COVID-19 can shed the virus through the gastrointestinal tract, enabling the quantification of the virus in stool and ultimately in wastewater (WW). Unfortunately, instability of SARS-CoV-2 RNA in wastewater limits the utility of WBE programs, particularly in remote/rural regions where reliable cold storage and/or rapid shipping may be unavailable. This study examined whether rapid SARS-CoV-2 RNA extraction on the day of sample collection could minimize degradation. Importantly, the extraction technology used in these experiments, termed exclusion-based sample preparation (ESP), is lightweight, portable, and electricity-free, making it suitable for implementation in remote settings. We demonstrated that immediate RNA extraction followed by ambient storage significantly increased the RNA half-life compared to raw wastewater samples stored at both 4 °C or ambient temperature. Given that RNA degradation negatively impacts both the sensitivity and precision of WBE measurements, efforts must be made to mitigate degradation in order to maximize the potential impact of WBE on public health.

Performance of formal smell testing and symptom screening for identifying SARS-CoV-2 infection.

BACKGROUND: Altered sense of smell is a commonly reported COVID-19 symptom. The performance of smell testing to identify SARS-CoV-2 infection status is unknown. We measured the ability of formal smell testing to identify SARS-CoV-2 infection and compared its performance with symptom screening. METHODS: A convenience sample of emergency department patients with COVID-19 symptom screening participated in smell testing using an eight odor Pocket Smell Test (PST). Participants received a SARS-CoV-2 viral PCR test after smell testing and completed a health conditions survey. Descriptive analysis and receiver operating characteristic (ROC) curve models compared the accuracy of smell testing versus symptom screening in identifying SARS-CoV-2 infection. RESULTS: Two hundred and ninety-five patients completed smell testing and 87 (29.5%) had a positive SARS-CoV-2 PCR test. Twenty-eight of the SARS-CoV-2 positive patients (32.2%) and 49 of the SARS-CoV-2 negative patients (23.6%) reported at least one of seven screening symptoms (OR = 1.54, P = 0.13). SARS-CoV-2 positive patients were more likely to have hyposmia (≤5 correctly identified odors) than SARS-CoV-2 negative patients (56.1% vs. 19.3%, OR = 5.36, P<0.001). Hyposmia was 52.9% (95% CI 41.9%-63.7%) sensitive and 82.7% (95% CI 76.9%-87.6%) specific for SARS-CoV-2 infection. Presence of ≥1 screening symptom was 32.2% (95% CI 22.6%-43.1%) sensitive and 76.4% (70.1%-82.0%) specific for SARS-CoV-2 infection. The ROC curve for smell testing had an area under the curve (AUC) of 0.74 (95% CI 0.67-0.80). The ROC curve for symptom screening had lower discriminatory accuracy for SARS-CoV-2 infection (AUC = 0.55, 95% CI 0.49-0.61, P<0.001) than the smell testing ROC curve. CONCLUSION: Smell testing was superior to symptom screening for identifying SARS-CoV-2 infection in our study.

Patients' attitudes toward deprescribing and their experiences communicating with clinicians and pharmacists.

Purpose: Developing effective deprescribing interventions relies on understanding attitudes, beliefs, and communication challenges of those involved in the deprescribing decision-making process, including the patient, the primary care clinician, and the pharmacist. The objective of this study was to assess patients' beliefs and attitudes and identify facilitators of and barriers to deprescribing. Methods: As part of a larger study, we recruited patients ⩾18 years of age taking ⩾3 chronic medications. Participants were recruited from retail pharmacies associated with the University of Kentucky HealthCare system. They completed an electronic survey that included demographic information, questions about communication with their primary care clinician and pharmacists, and the revised Patients' Attitudes Toward Deprescribing (rPATD) questionnaire. Results: Our analyses included 103 participants (n = 65 identified as female and n = 74 as White/Caucasian) with a mean age of 50.4 years [standard deviation (SD) = 15.5]. Participants reported taking an average of 8.4 daily medications (SD = 6.1). Most participants reported effective communication with clinicians and pharmacists (66.9%) and expressed willingness to stop one of their medications if their clinician said it was possible (83.5%). Predictors of willingness to accept deprescribing were older age [odds ratio (OR) = 2.99, 95% confidence interval (CI) = 1.45-6.2], college/graduate degree (OR = 55.25, 95% CI = 5.74-531.4), perceiving medications as less appropriate (OR = 8.99, 95% CI = 1.1-73.62), and perceived effectiveness of communication with the clinician or pharmacist (OR = 4.56, 95% CI = 0.85-24.35). Conclusion: Adults taking ⩾3 chronic medications expressed high willingness to accept deprescribing of medications when their doctor said it was possible. Targeted strategies to facilitate communication within the patient-primary care clinician-pharmacist triad that consider patient characteristics such as age and education level may be necessary ingredients for developing successful deprescribing interventions. Plain Language Summary: Are patients willing to accept stopping medications? Sometimes, medicines that a patient takes regularly become inappropriate. In other words, the risks of adverse effects might be greater than a medicine's potential benefits. The decision to stop such medicines should involve the patient and consider their preferences. We surveyed a group of patients taking multiple medicines to see how they felt about having those medicines stopped. We also asked patients whether and how much they talk to their primary care clinician and pharmacists about their medicines. To qualify for this study, patients had to be at least 18 years old and to take three or more medicines daily; they also needed to speak English. Participants provided demographic information and answered questions about their medicines, their communication with primary care clinicians and pharmacists, and their feelings about having one or more of their medicines stopped. We recruited 107 people and were able to use responses from 103 of them. Their average age was 50 years; 65 of them identified as female, and 75 identified as White/Caucasian. Most of our participants mentioned having conversations with primary care clinicians and pharmacists and said they would be willing to stop a medication if their clinician said it was possible. Older participants, those with more years of education, those who thought their medications might lead to side effects, and those who communicated with their clinician or pharmacists were more willing to have one of their medicines stopped.Our results indicate that patient characteristics and communication with clinicians and pharmacists are factors to consider when designing interventions to reduce the use of inappropriate medicines.

Real-World Evaluation of a Population Germline Genetic Screening Initiative for Family Medicine Patients.

Hereditary factors contribute to disease development and drug pharmacokinetics. The risk of hereditary disease development can be attenuated or eliminated by early screening or risk reducing interventions. The purpose of this study was to assess the clinical utility of germline medical exome sequencing in patients recruited from a family medicine clinic and compare the mutation frequency of hereditary predisposition genes to established general population frequencies. At the University of Kentucky, 205 family medicine patients underwent sequencing in a Clinical Laboratory Improvement Amendments of 1988-compliant laboratory to identify clinically actionable genomic findings. The study identified pathogenic or likely pathogenic genetic variants-classified according to the American College of Medical Genetics and Genomics variant classification guidelines-and actionable pharmacogenomic variants, as defined by the Clinical Pharmacogenetics Implementation Consortium. Test results for patients with pharmacogenomic variants and pathogenic or likely pathogenic variants were returned to the participant and enrolling physician. Hereditary disease predisposition gene mutations in APOB, BRCA2, MUTYH, CACNA1S, DSC2, KCNQ1, LDLR, SCN5A, or SDHB were identified in 6.3% (13/205) of the patients. Nine of 13 (69.2%) underwent subsequent clinical interventions. Pharmacogenomic variants were identified in 76.1% (156/205) of patients and included 4.9% (10/205) who were prescribed a medication that had pharmacogenomic implications. Family physicians changed medications for 1.5% (3/205) of patients to prevent toxicity. In this pilot study, we found that with systemic support, germline genetic screening initiatives were feasible and clinically beneficial in a primary care setting.

2009 Pandemic influenza A H1N1 in Alaska: temporal and geographic characteristics of spread and increased risk of hospitalization among Alaska Native and Asian/Pacific Islander people.

Alaska Native people have suffered disproportionately from previous influenza pandemics. We evaluated 3 separate syndromic data sources to determine temporal and geographic patterns of spread of 2009 pandemic influenza A H1N1 (pH1N1) in Alaska, and reviewed records from persons hospitalized with pH1N1 disease in 3 areas in Alaska to characterize clinical and epidemiologic features of disease in Alaskans. A wave of pH1N1 disease swept through Alaska beginning in most areas in August or early September. In rural regions, where Alaska Native people comprise a substantial proportion of the population, disease occurred earlier than in other regions. Alaska Native people and Asian/Pacific Islanders (A/PI) were 2-4 times more likely to be hospitalized than whites. Alaska Native people and other minorities remain at high risk for early and substantial morbidity from pandemic influenza episodes. These findings should be integrated into plans for distribution and use of vaccine and antiviral agents.

A Curriculum to Increase Resident Scholarly Activity.

BACKGROUND AND OBJECTIVES: Scholarly activity (SA) is an Accreditation Council of Graduate Medical Education (ACGME) requirement for family medicine residents. Engaging residents in scholarly activity can be challenging. Naval Hospital Jacksonville Family Medicine Residency (NHJ) pioneered a curriculum that led to a dramatic, sustained increase in resident SA. We sought to implement the curriculum in other family medicine residency programs. METHODS: The curriculum was implemented at two additional family medicine residencies. Three curricular interventions were identified: a 3-hour case report workshop, a written practical guide to scholarly activity, and a resident peer research leader. One program implemented all three elements. The other implemented the workshop and written guide, but did not identify a resident peer leader. SA was measured using the annual ACGME program director report and compared the intervention year to the previous 3 years of SA using a 2-sample test for equality of proportions with continuity correction. We used pre- and postintervention surveys to evaluate resident attitudes about SA. RESULTS: The program implementing all three interventions increased residents' conference presentation 302% (n=34, P<.001). The program that did not identify a resident peer leader had no significant change in SA as reported to the ACGME. CONCLUSIONS: The curriculum was implemented in two additional residencies with promising results. We recommend further implementation across multiple sites to determine the extent to which the results are generalizable.

Primary Care Cluster RCT to Increase Diabetes Prevention Program Referrals.

INTRODUCTION: The Diabetes Prevention Program, an intensive lifestyle change program, effectively reduces the risk of progression from prediabetes to type 2 diabetes but is underutilized. An implementation study using formative research was undertaken to increase Diabetes Prevention Program referrals at a primary care clinic. STUDY DESIGN: A pragmatic, cluster randomized, mixed-methods study. SETTING/PARTICPANTS: Clusters were teams of primary care clinicians from 2 primary care clinics. The 3 intervention clusters had 8-11 clinicians, and the 3 control clusters had 7-20 clinicians. INTERVENTION: Implementation activities occurred from December 2017 to February 2019. The activities included targeted clinician education, a prediabetes clinician champion, and a custom electronic health record report identifying patients with prediabetes. MAIN OUTCOME MEASURES: The primary outcome was referral of patients with prediabetes to the institutional Diabetes Prevention Program. Study data, including patient demographic and clinical variables, came from electronic health record. Interviews with clinicians evaluated the implementation strategies. Generalized estimating equation analyses that accounted for multiple levels of correlation and interview content analysis occurred in 2019. RESULTS: Study clinicians cared for 2,992 patients with a prediabetes diagnosis or HbA1c indicative of prediabetes (5.7%-6.4%). Clinicians in the intervention clusters referred 6.9% (87 of 1,262) of patients with prediabetes to the Diabetes Prevention Program and those in the control clusters referred 1.5% (26 of 1,730). When adjusted for patient age, sex, race, HbA1c value, HbA1c test location, and insurance type, intervention clinicians had 3.85 (95% CI=0.40, 36.78) greater odds of referring a patient with prediabetes to the Diabetes Prevention Program. The 11 interviewed intervention clinicians had mixed opinions about the utility of the interventions, reporting the prediabetes clinic champion (n=7, 64%) and educational presentations (n=6, 55%) as most helpful. CONCLUSIONS: Intervention clinicians were more likely to make Diabetes Prevention Program referrals; however, the study lacked power to achieve statistical significance. Clinician interviews suggested that intervention components that triggered Diabetes Prevention Program referrals varied among clinicians.

Prediabetes Knowledge, Attitudes, and Practices at an Academic Family Medicine Practice.

PURPOSE: Lifestyle change programs are an effective but underutilized approach to prevent or delay type 2 diabetes in people with prediabetes. Understanding clinician prediabetes knowledge, attitudes, and practices can inform implementation efforts to increase lifestyle change program referrals. METHODS: We surveyed clinicians at an academic family medicine clinic about their prediabetes knowledge, attitudes, and practices. From the same clinic, we reviewed electronic health records to assess prediabetes screening, diagnosis, and treatment coverage in the cohort of adults seen from 2015 to 2017. RESULTS: Thirty-one clinicians (69.6%) completed the survey. Clinicians believed prediabetes was an important health issue (n = 29; 93.7%) and that prediabetes screening (n = 20, 64.5%) and diagnosis (n = 31, 100%) were important for prediabetes management. About half of the respondents (n = 14; 45.2%) reported familiarity with the National Diabetes Prevention Program (DPP). Electronic chart review included 15,520 adult patients. Most of the 5360 nondiabetic patients meeting US Preventive Services Task Force diabetes screening guidelines (n = 4068; 75.9%) received a hemoglobin A1c test. Of the 1437 patients with an A1c result diagnostic of prediabetes, 729 (50.7%) had the diagnosis in their chart. Prediabetes patients receiving point-of-care A1c testing instead of laboratory testing had 4.7 increased odds (95% CI, 3.5 to 6.4) of metformin prescription. No patients were referred to a DPP. CONCLUSIONS: Clinicians' positive attitudes toward prediabetes screening, moderate knowledge of prediabetes management, and low awareness of DPPs were reflected by high diabetes screening coverage, limited prediabetes diagnosis, and no DPP referrals. We will tailor our implementation strategy to overcome these prediabetes care barriers.

Invasive Haemophilus influenzae Serotype a Infection in Children: Clinical Description of an Emerging Pathogen-Alaska, 2002-2014.

BACKGROUND: Invasive infections from Haemophilus influenzae serotype a (Hia) have been reported with increasing frequency, especially among indigenous populations. However, there are limited population-based studies of clinical severity. We studied invasive Hia infections in Alaska to determine clinical characteristics, mortality and sequelae. METHODS: We defined an invasive Hia infection as the first detection of Hia from a usually sterile site in a child <10 years of age from Alaska. We identified cases using the Alaska Invasive Bacterial Diseases Surveillance System and reviewed medical charts up to 2 years after reported illness. RESULTS: We identified invasive Hia infections in 36 children, 28 (78%) <1 year old, 34 (94%) living in an Alaskan village and 25 (69%) without documented underlying illness. Overlapping clinical presentations included meningitis in 15 children (42%); bacteremia and pneumonia in 10 children (28%); and bone, joint or soft tissue infections in 10 children (22%). In 4 other children, no source of invasive infection was identified. Intensive care was provided for 11 children (31%); 12 children (33%) required surgical intervention. One year after infection, 4 children (11%) had died from Hia, and 5 children (14%) had ongoing neurologic sequelae. CONCLUSIONS: Invasive Hia infections in Alaska occurred predominantly in Alaska Native infants in rural communities. Although one-third of children had preexisting conditions, most cases occurred without known comorbidity. Clinical syndromes were frequently severe. One year after infection, 1 in 4 children had either died or had neurologic sequelae. An effective vaccine would prevent significant morbidity and mortality in affected populations.

A Point System as Catalyst to Increase Resident Scholarship: An MPCRN Study.

INTRODUCTION: Encouraging resident scholarly activity has been a longstanding challenge for medical educators. The Accreditation Council for Graduate Medical Education (ACGME) has been increasing its emphasis on scholarly activity, forcing programs to evaluate their existing processes. This study sought to evaluate the impact of a scholarly activity point system on the resident scholarly productivity at multiple programs. METHODS: Five military family medicine residencies evaluated resident outcomes 2 years before and 2 years after the introduction of a scholarly activity point system. Outcome measures included peer-reviewed publications with a resident as first author, peer-reviewed publications with a resident as any author, resident presentation of scholarship at a regional, national, and international conference, IRB-approved protocols with a resident as principal investigator, and IRB-approved protocols with a resident in any role. RESULTS: Four of the five programs experienced substantial increases in nearly every outcome. The fifth program, which had a more robust culture of inquiry at baseline, did not experience an increase in resident scholarly productivity. CONCLUSIONS: A scholarly activity point system was associated with an increase in resident scholarly production in family medicine programs. It appears to work best in programs that start from a lower level of scholarly productivity at baseline. A point system appears to be a useful addition to scholarly activity curricula.