Frequency of newborn bathing in the first 9 weeks of life and related factors: An observational study in a community-based sample from Meta-LARC.

PURPOSE: Environmental factors such as bathing may play a role in atopic dermatitis (AD) development. This analysis utilized data from the Community Assessment of Skin Care, Allergies, and Eczema (CASCADE) Trial (NCT03409367), a randomized controlled trial of emollient therapy for AD prevention in the general population, to estimate bathing frequency and associated factors within the first 9 weeks of life. METHODS: Data were collected from 909 parent/newborn dyads recruited from 25 pediatric and family medicine clinics from the Meta-network Learning and Research Center (Meta-LARC) practice-based research network (PBRN) consortium in Oregon, North Carolina, Colorado, and Wisconsin for the CASCADE trial. Ordinal logistic regression was used to conduct a cross-sectional analysis of the association between bathing frequency (measured in baths per week) and demographic, medical, and lifestyle information about the infant, their family, and their household. Variables were selected using a backwards-stepwise method and estimates from the reduced model are reported in the text. RESULTS: Moisturizer use (OR = 2.03, 95% CI: 1.54-2.68), Hispanic or Latino ethnicity (OR = 1.97, 95% CI: 1.42-2.72), a parental education level lower than a 4-year college degree (OR = 2.48, 95% CI: 1.70-3.62), living in North Carolina or Wisconsin (compared to Oregon; OR = 2.12 and 1.47, 95% CI: 1.53-2.93 and 1.04-2.08, respectively), and increasing child age (in days; OR = 1.02, 95% CI: 1.01-1.02) were significantly associated with more frequent bathing, while pet ownership (OR = 0.67, 95% CI: 0.52-0.87) was significantly associated with less frequent bathing. CONCLUSIONS: We found significant ethnic, geographic, and socioeconomic variation in bathing frequency before 9 weeks of age that may be of relevance to AD prevention studies.

Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial.

BACKGROUND: Exercise can rapidly drop glucose in people with type 1 diabetes. Ubiquitous wearable fitness sensors are not integrated into automated insulin delivery (AID) systems. We hypothesised that an AID can automate insulin adjustments using real-time wearable fitness data to reduce hypoglycaemia during exercise and free-living conditions compared with an AID not automating use of fitness data. METHODS: Our study population comprised of individuals (aged 21-50 years) with type 1 diabetes from from the Harold Schnitzer Diabetes Health Center clinic at Oregon Health and Science University, OR, USA, who were enrolled into a 76 h single-centre, two-arm randomised (4-block randomisation), non-blinded crossover study to use (1) an AID that detects exercise, prompts the user, and shuts off insulin during exercise using an exercise-aware adaptive proportional derivative (exAPD) algorithm or (2) an AID that automates insulin adjustments using fitness data in real-time through an exercise-aware model predictive control (exMPC) algorithm. Both algorithms ran on iPancreas comprising commercial glucose sensors, insulin pumps, and smartwatches. Participants executed 1 week run-in on usual therapy followed by exAPD or exMPC for one 12 h primary in-clinic session involving meals, exercise, and activities of daily living, and 2 free-living out-patient days. Primary outcome was time below range (<3·9 mmol/L) during the primary in-clinic session. Secondary outcome measures included mean glucose and time in range (3·9-10 mmol/L). This trial is registered with ClinicalTrials.gov, NCT04771403. FINDINGS: Between April 13, 2021, and Oct 3, 2022, 27 participants (18 females) were enrolled into the study. There was no significant difference between exMPC (n=24) versus exAPD (n=22) in time below range (mean [SD] 1·3% [2·9] vs 2·5% [7·0]) or time in range (63·2% [23·9] vs 59·4% [23·1]) during the primary in-clinic session. In the 2 h period after start of in-clinic exercise, exMPC had significantly lower mean glucose (7·3 [1·6] vs 8·0 [1·7] mmol/L, p=0·023) and comparable time below range (1·4% [4·2] vs 4·9% [14·4]). Across the 76 h study, both algorithms achieved clinical time in range targets (71·2% [16] and 75·5% [11]) and time below range (1·0% [1·2] and 1·3% [2·2]), significantly lower than run-in period (2·4% [2·4], p=0·0004 vs exMPC; p=0·012 vs exAPD). No adverse events occurred. INTERPRETATION: AIDs can integrate exercise data from smartwatches to inform insulin dosing and limit hypoglycaemia while improving glucose outcomes. Future AID systems that integrate exercise metrics from wearable fitness sensors may help people living with type 1 diabetes exercise safely by limiting hypoglycaemia. FUNDING: JDRF Foundation and the Leona M and Harry B Helmsley Charitable Trust, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases.

Outcomes of Fracture Surgery in Patients With Escalating Hemoglobin A1C in the Setting of Unmanaged Diabetes.

OBJECTIVE: To determine whether there is a threshold of elevated hemoglobin A1C (HbA1c) above which the complication risk is so high that fracture fixation should be avoided. DESIGN: Retrospective cohort study. SETTING: Academic Level I trauma center. PATIENTS/PARTICIPANTS: A cohort of 187 patients with HbA1c values >7 and operatively treated extremity fractures. INTERVENTION: Surgical fixation of extremity fractures. MAIN OUTCOME MEASUREMENTS: Rate of major orthopaedic complication (loss of reduction, nonunion, infection, and need for salvage procedure). RESULTS: 34.8% demonstrated HbA1c > 9% and 12.3% with HbA1c > 11. Major complications occurred in 31.4%; HbA1c values were not predictive. We found no evidence of a clinically or statistically significant relationship between HbA1c and risk of major complication. The odds ratio for a one-point increase in HbA1c was 1.006 ( P = 0.9439), and the area under the receiver operating characteristic curve, which reflects the average probability that someone with a major complication will have a higher HbA1c than someone without, was 0.51 (95% confidence interval 0.42-0.61), equivalent to random chance. CONCLUSION: Diabetic patients with fracture demonstrated an extremely high overall rate of complications, with 30.5% experiencing a major complication. However, patients with extreme diabetic neglect did not have higher complication rates after extremity fracture fixation when compared with patients with controlled and uncontrolled diabetes. There was no correlation between rate of complication and level of HbA1c. In addition, there was no difference in complication rate between upper and lower extremity fractures or between fractures treated with open or percutaneous fixation. This suggests that fracture treatment decision-making should not be altered for patients with poor diabetic control, and that surgery is not contraindicated in patients with an extremely high HbA1c. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Gait and balance in apolipoprotein Ɛ4 allele carriers in older adults and Parkinson's disease.

Background: Gait and balance impairments are among the most troublesome and heterogeneous in Parkinson's disease (PD). This heterogeneity may, in part, reflect genetic variation. The apolipoprotein E (APOE) gene has three major allelic variants (ε2, ε3 and ε4). Previous work has demonstrated that older adult (OA) APOE ε4 carriers demonstrate gait deficits. This study compared gait and balance measures between APOE ε4 carriers and non-carriers in both OA and PD. Methods: 334 people with PD (81 APOE ε4 carriers and 253 non-carriers) and 144 OA (41 carriers and 103 non-carriers) were recruited. Gait and balance were assessed using body-worn inertial sensors. Two-way analyses of covariance (ANCOVA) compared gait and balance characteristics between APOE ε4 carriers and non-carriers in people with PD and OA, controlling for age, gender, and testing site. Results: Gait and balance were worse in people with PD compared to OA. However, there were no differences between APOE ε4 carriers and non-carriers in either the OA or PD group. In addition, there were no significant group (OA/PD) by APOE ε4 status (carrier/non-carrier) interaction effects for any measures of gait or balance. Conclusions: Although we found expected impairments in gait and balance in PD compared to OA, gait and balance characteristics did not differ between APOE ε4 carriers and non-carriers in either group. While APOE status did not impact gait and balance in this cross-sectional study, future work is needed to determine whether progression of gait and balance deficits is faster in PD APOE Ɛ4 carriers.

Modeling risk of hypoglycemia during and following physical activity in people with type 1 diabetes using explainable mixed-effects machine learning.

BACKGROUND: Physical activity (PA) can cause increased hypoglycemia (glucose <70 mg/dL) risk in people with type 1 diabetes (T1D). We modeled the probability of hypoglycemia during and up to 24 h following PA and identified key factors associated with hypoglycemia risk. METHODS: We leveraged a free-living dataset from Tidepool comprised of glucose measurements, insulin doses, and PA data from 50 individuals with T1D (6448 sessions) for training and validating machine learning models. We also used data from the T1Dexi pilot study that contains glucose management and PA data from 20 individuals with T1D (139 session) for assessing the accuracy of the best performing model on an independent test dataset. We used mixed-effects logistic regression (MELR) and mixed-effects random forest (MERF) to model hypoglycemia risk around PA. We identified risk factors associated with hypoglycemia using odds ratio and partial dependence analysis for the MELR and MERF models, respectively. Prediction accuracy was measured using the area under the receiver operating characteristic curve (AUROC). RESULTS: The analysis identified risk factors significantly associated with hypoglycemia during and following PA in both MELR and MERF models including glucose and body exposure to insulin at the start of PA, low blood glucose index 24 h prior to PA, and PA intensity and timing. Both models showed overall hypoglycemia risk peaking 1 h after PA and again 5-10 h after PA, which is consistent with the hypoglycemia risk pattern observed in the training dataset. Time following PA impacted hypoglycemia risk differently across different PA types. Accuracy of hypoglycemia prediction using the fixed effects of the MERF model was highest when predicting hypoglycemia during the first hour following the start of PA (AUROCVALIDATION = 0.83 and AUROCTESTING = 0.86) and decreased when predicting hypoglycemia in the 24 h after PA (AUROCVALIDATION = 0.66 and AUROCTESTING = 0.68). CONCLUSION: Hypoglycemia risk after the start of PA can be modeled using mixed-effects machine learning to identify key risk factors that may be used within decision support and insulin delivery systems. We published the population-level MERF model online for others to use.

Substance Use Disorders Are Prevalent in Adults With Congenital Heart Disease and Are Associated With Increased Healthcare Use.

Adults with congenital heart disease (CHD) represent a heterogeneous group with significant long-term health risks. Previous studies have demonstrated a high prevalence of psychiatric disorders among adults with CHD; however, little is known about the frequency of co-morbid substance use disorders (SUDs) in patients with CHD. The Oregon All Payer All Claims (APAC) database for the years 2014 to 2017 was queried for adults aged 18 to 65 years with International Classification of Diseases, Ninth or Tenth Revision codes consistent with CHD. Alcohol and substance use were identified by International Classification of Diseases codes for use or dependence and classified in mutually exclusive categories of none, alcohol only, and other drugs (with or without alcohol). Descriptive statistics were used to characterize prevalence and chi-square tests were used to test for associations between variables. A total of 12,366 adults with CHD were identified. The prevalence of substance use was 15.7%. The prevalence of isolated alcohol use was 3.9%. A total of 19% of patients used tobacco. Insurance type, presence of a concurrent mental health diagnosis, and age were associated with substance use, whereas CHD complexity was not. Cardiovascular co-morbidities were more common in patients with reported substance use. Inpatient and emergency care use were higher in those with SUD. In conclusion, this study of substance and alcohol use among adults with CHD demonstrates high rates of co-morbid SUD, particularly among patients with mental health disorders and Medicaid insurance, associated with increased healthcare utilization. We identify a population in need of targeted interventions to improve long-term health.

Improving colorectal cancer screening in rural primary care: Preliminary effectiveness and implementation of a collaborative mailed fecal immunochemical test pilot.

BACKGROUND: Mailed fecal immunochemical test (FIT) outreach can improve colorectal cancer (CRC) screening rates. We piloted a collaborative mailed FIT program with health plans and rural clinics to evaluate preliminary effectiveness and refine implementation strategies. METHODS: We conducted a single-arm study using a convergent, parallel mixed-methods design to evaluate the implementation of a collaborative mailed FIT program. Enrollees were identified using health plan claims and confirmed via clinic scrub. The intervention included a vendor-delivered automated phone call (auto-call) prompt, FIT mailing, and reminder auto-call; clinics were encouraged to make live reminder calls. Practice facilitation was the primary implementation strategy. At 12 months post mailing, we assessed the rates of: (1) mailed FIT return and (2) completion of any CRC screening. We took fieldnotes and conducted postintervention key informant interviews to assess implementation outcomes (eg, feasibility, acceptability, and adaptations). RESULTS: One hundred and sixty-nine Medicaid or Medicare enrollees were mailed a FIT. Over the 12-month intervention, 62 participants (37%) completed screening of which 21% completed the mailed FIT (most were returned within 3 months), and 15% screened by other methods (FITs distributed in-clinic, colonoscopy). Enrollee demographics and the reminder call may encourage mailed FIT completion. Program feasibility and acceptability was high and supported by perceived positive benefit, alignment with existing workflows, adequate staffing, and practice facilitation. CONCLUSION: Collaborative health plan-clinic mailed FIT programs are feasible and acceptable for implementation in rural clinics and support CRC screening completion. Studies that pragmatically test collaborative approaches to mailed FIT and patient navigation follow-up after abnormal FIT and support broad scale-up in rural settings are needed.

Assessment of a Decision Support System for Adults with Type 1 Diabetes on Multiple Daily Insulin Injections.

Introduction: DailyDose is a decision support system designed to provide real-time dosing advice and weekly insulin dose adjustments for adults living with type 1 diabetes using multiple daily insulin injections. Materials and Methods: Twenty-five adults were enrolled in this single-arm study. All participants used Dexcom G6 for continuous glucose monitoring, InPen for short-acting insulin doses, and Clipsulin to track long-acting insulin doses. Participants used DailyDose on an iPhone for 8 weeks. The primary endpoint was % time in range (TIR) comparing the 2-week baseline to the final 2-week period of DailyDose use. Results: There were no significant differences between TIR or other glycemic metrics between the baseline period compared to final 2-week period of DailyDose use. TIR significantly improved by 6.3% when more than half of recommendations were accepted and followed compared with 50% or fewer recommendations (95% CI 2.5%-10.1%, P = 0.001). Conclusions: Use of DailyDose did not improve glycemic outcomes compared to the baseline period. In a post hoc analysis, accepting and following recommendations from DailyDose was associated with improved TIR. Clinical Trial Registration Number: NCT04428645.

Cognition as a mediator for gait and balance impairments in GBA-related Parkinson's disease.

The extent to which the heterogeneity of gait and balance problems in PD may be explained by genetic variation is unknown. Variants in the glucocerebrosidase (GBA) gene are the strongest known genetic risk factor for PD and are associated with greater motor and cognitive severity. However, the impact of GBA variants on comprehensive measures of gait and balance and their relationship to cognition remains unknown. We aimed to determine differences in gait and balance impairments in those with and without GBA variants (mutation carriers and E326K polymorphism) and explore direct and indirect effects of GBA status on gait, balance, and cognition. 332 participants, 43 of whom had GBA variants, were recruited. Participants completed a comprehensive, objective assessment of gait and standing balance using body-worn inertial sensors. Group differences in gait and balance between PD with and without GBA variants were assessed with linear regression, adjusting for age, gender, clinical testing site, disease duration, and apolipoprotein E (APOE) ɛ4 status. Structural equation modeling (SEM) explored direct relationships between GBA status and gait and balance and indirect relationships between GBA status and gait and balance via cognition. The GBA variant group had more impaired gait (pace and variability) and balance (sway area/jerk and sway velocity), than the non-GBA variant group. SEM demonstrated cognition as a mediator of GBA status on gait and balance. The close relationships among GBA, gait/balance, and cognition suggest potential for novel therapeutics to target the GBA pathway and/or cognition to improve mobility in PD GBA variants.

Mailed fecal testing and patient navigation versus usual care to improve rates of colorectal cancer screening and follow-up colonoscopy in rural Medicaid enrollees: a cluster-randomized controlled trial.

BACKGROUND: Screening reduces incidence and mortality from colorectal cancer (CRC), yet US screening rates are low, particularly among Medicaid enrollees in rural communities. We describe a two-phase project, SMARTER CRC, designed to achieve the National Cancer Institute Cancer MoonshotSM objectives by reducing the burden of CRC on the US population. Specifically, SMARTER CRC aims to test the implementation, effectiveness, and maintenance of a mailed fecal test and patient navigation program to improve rates of CRC screening, follow-up colonoscopy, and referral to care in clinics serving rural Medicaid enrollees. METHODS: Phase I activities in SMARTER CRC include a two-arm cluster-randomized controlled trial of a mailed fecal test and patient navigation program involving three Medicaid health plans and 30 rural primary care practices in Oregon and Idaho; the implementation of the program is supported by training and practice facilitation. Participating clinic units were randomized 1:1 into the intervention or usual care. The intervention combines (1) mailed fecal testing outreach supported by clinics, health plans, and vendors and (2) patient navigation for colonoscopy following an abnormal fecal test result. We will evaluate the effectiveness, implementation, and maintenance of the intervention and track adaptations to the intervention and to implementation strategies, using quantitative and qualitative methods. Our primary effectiveness outcome is receipt of any CRC screening within 6 months of enrollee identification. Our primary implementation outcome is health plan- and clinic-level rates of program delivery, by component (mailed FIT and patient navigation). Trial results will inform phase II activities to scale up the program through partnerships with health plans, primary care clinics, and regional and national organizations that serve rural primary care clinics; scale-up will include webinars, train-the-trainer workshops, and collaborative learning activities. DISCUSSION: This study will test the implementation, effectiveness, and scale-up of a multi-component mailed fecal testing and patient navigation program to improve CRC screening rates in rural Medicaid enrollees. Our findings may inform approaches for adapting and scaling evidence-based approaches to promote CRC screening participation in underserved populations and settings. TRIAL REGISTRATION: Registered at clinicaltrial.gov ( NCT04890054 ) and at the NCI's Clinical Trials Reporting Program (CTRP #: NCI-2021-01032) on May 11, 2021.

A Novel Piriformis Injection Technique Utilizing Combined Fluoroscopy and Ultrasound - A Pilot Study.

BACKGROUND: Piriformis syndrome is a constellation of symptoms associated with low back, gluteal, and sciatic pain. One treatment for piriformis syndrome is the injection of local anesthetic, steroid, or botulinum toxin into the piriformis muscle. Various approaches for needle navigation into the piriformis muscle have been described using fluoroscopy or ultrasound. This study introduces a new method of image guidance combining fluoroscopy and ultrasound. OBJECTIVES: The primary aim of this study was examining whether the imaging modality used for needle guidance was associated with significant differences in pre- and post-piriformis injection pain scores. Secondary objectives were assessing differences in adverse events and procedure time. STUDY DESIGN: This study is a retrospective cohort study. SETTINGS: This study was conducted at Oregon Health and Science University's Comprehensive Pain Center, Portland, OR, USA. METHODS: Institutional chart review was performed from 09/21/2014 to 01/21/2020 to identify patients that underwent piriformis steroid injections which generated a list of 95 patients and totaled 154 procedures. Inclusion criteria were met for 78 patients and 109 procedures. Pain scores were modeled longitudinally using robust variance estimates. The nonparametric Kruskal-Wallis test was used for procedure duration, while adverse events were too rare to evaluate statistically. RESULTS: Piriformis steroid injections using the combined ultrasound and fluoroscopy technique had the lowest mean post-procedure pain score of 1.3 (SD 1.7) and the largest change in pain with a score difference of -3.9 (SD 2.1). Procedure durations were 8 (quartiles 5 to 10), 10 (quartiles 7 to 13), and 11 minutes (quartiles 9 to 13) for fluoroscopy alone, ultrasound alone, and combined techniques, respectively. All 3 modalities had duration ranges of minimum time of 3-5 minutes and a maximum time of 25-28 minutes. Adverse events across all imaging strategies were noted in 5 patients at the time of procedure and in 7 patients during follow-up appointments, the most common symptom being transient leg weakness or numbness. LIMITATIONS: The major limitation is the retrospective collection of data. Another limitation is that 6 different providers performed the injections, which may influence procedural consistency. Additionally, the inclusion of subjects with low pre-procedure pain scores could create a floor effect that minimized the occurrence of clinically significant shifts in pain scores. Adverse events were too few across all groups to assess. CONCLUSION: Piriformis injections using combined fluoroscopic and ultrasound guidance provides comparable efficiency to standard techniques and may result in improved accuracy into the target and thus improved efficacy. Larger prospective trials are required to comprehensively examine the efficacy of this novel technique.

Source matters: a survey of cost variation for fecal immunochemical tests in primary care.

BACKGROUND: Colorectal cancer (CRC) screening can improve health outcomes, but screening rates remain low across the US. Mailed fecal immunochemical tests (FIT) are an effective way to increase CRC screening rates, but is still underutilized. In particular, cost of FIT has not been explored in relation to practice characteristics, FIT selection, and screening outreach approaches. METHODS: We administered a cross-sectional survey drawing from prior validated measures to 252 primary care practices to assess characteristics and context that could affect the implementation of direct mail fecal testing programs, including the cost, source of test, and types of FIT used. We analyzed the range of costs for the tests, and identified practice and test procurement factors. We examined the distributions of practice characteristics for FIT use and costs answers using the non-parametric Wilcoxon rank-sum test. We used Pearson's chi-squared test of association and interpreted a low p-value (e.g. < 0.05) as evidence of association between a given practice characteristic and knowing the cost of FIT or fecal occult blood test (FOBT). RESULTS: Among the 84 viable practice survey responses, more than 10 different types of FIT/FOBTs were in use; 76% of practices used one of the five most common FIT types. Only 40 practices (48%) provided information on FIT costs. Thirteen (32%) of these practices received the tests for free while 27 (68%) paid for their tests; median reported cost of a FIT was $3.04, with a range from $0.83 to $6.41 per test. Costs were not statistically significantly different by FIT type. However, practices who received FITs from manufacturer's vendors were more likely to know the cost (p = 0.0002) and, if known, report a higher cost (p = 0.0002). CONCLUSIONS: Our findings indicate that most practices without lab or health system supplied FITs are spending more to procure tests. Cost of FIT may impact the willingness of practices to distribute FITs through population outreach strategies, such as mailed FIT. Differences in the ability to obtain FIT tests in a cost-effective manner could have consequences for implementation of outreach programs that address colorectal cancer screening disparities in primary care practices.

Below the Surface: Caregivers' Experience of Hospital-to-Home Transitions.

OBJECTIVE: Our aim was to understand the breadth of the hospital-to-home experience from the caregiver perspective using a mixed method approach. METHODS: Caregivers of children who experienced an inpatient admission (N = 184) completed a hospital-to-home transition questionnaire after discharge. Twenty-six closed-ended survey items captured child's hospitalization, discharge, and postdischarge experiences and were analyzed using descriptive statistics. Four additional free-response items allowed caregivers to expand on specific challenges or issues. A conventional content analysis coding framework was applied to the free responses. RESULTS: Ninety-one percent of caregivers reported satisfaction with the hospital experience and 88% reported they understood how to manage their child's health after discharge. A majority of survey respondents (74%) provided answers to 1 or more of the qualitative free-response items. In the predischarge period, qualitative responses centered on concerns related to finances or available resources and support, communication, hospital environment, and the discharge process. Responses for the postdischarge time period centered on family well-being (child health, other family member health), finances (bills, cost of missed work), and medical follow-up (supplies, appointments, instruction). CONCLUSIONS: Caregivers were generally satisfied with their hospital experience; however, incorporating survey items specifically related to family stressors either through closed- or open-ended questions gave a richer context for caregiver-identified concerns. Basing future quality improvement efforts on supporting caregiver needs and identifying stressors before discharge may make for a more robust and successful transition to home.

The Transforming Outcomes for Patients Through Medical Home Evaluation and reDesign (TOPMED) Cluster Randomized Controlled Trial: Cost and Utilization Results.

BACKGROUND: Primary Care Medical Home (PCMH) redesign efforts are intended to enhance primary care's ability to improve population health and well-being. PCMH transformation that is focused on "high-value elements" (HVEs) for cost and utilization may improve effectiveness. OBJECTIVES: The objective of this study was to determine if a focus on achieving HVEs extracted from successful primary care transformation models would reduce cost and utilization as compared with a focus on achieving PCMH quality improvement goals. RESEARCH DESIGN: A stratified, cluster randomized controlled trial with 2 arms. All practices received equal financial incentives, health information technology support, and in-person practice facilitation. Analyses consisted of multivariable modeling, adjusting for the cluster, with difference-in-difference results. SUBJECTS: Eight primary care clinics that were engaged in PCMH reform. MEASURES: We examined: (1) total claims payments; (2) emergency department (ED) visits; and (3) hospitalizations among patients during baseline and intervention years. RESULTS: In total, 16,099 patients met the inclusion criteria. Intervention clinics had significantly lower baseline ED visits (P=0.02) and claims paid (P=0.01). Difference-in-difference showed a decrease in ED visits greater in control than intervention (ED per 1000 patients: +56; 95% confidence interval: +96, +15) with a trend towards decreased hospitalizations in intervention (-15; 95% confidence interval: -52, +21). Costs were not different. In modeling monthly outcome means, the generalized linear mixed model showed significant differences for hospitalizations during the intervention year (P=0.03). DISCUSSION: The trial had a trend of decreasing hospitalizations, increased ED visits, and no change in costs in the HVE versus quality improvement arms.

Risk for Reinfection After SARS-CoV-2: A Living, Rapid Review for American College of Physicians Practice Points on the Role of the Antibody Response in Conferring Immunity Following SARS-CoV-2 Infection.

BACKGROUND: The strength and duration of immunity from infection with SARS-CoV-2 are important for public health planning and clinical practice. PURPOSE: To synthesize evidence on protection against reinfection after SARS-CoV-2 infection. DATA SOURCES: MEDLINE (Ovid), the World Health Organization global literature database, ClinicalTrials.gov, COVID19reviews.org, and reference lists. STUDY SELECTION: Longitudinal studies that compared the risk for reinfection after SARS-CoV-2 infection versus infection risk in individuals with no prior infection. DATA EXTRACTION: Two investigators sequentially extracted study data and rated quality. DATA SYNTHESIS: Across 18 eligible studies, reinfection risk ranged from 0% to 2.2%. In persons with recent SARS-CoV-2 infection compared with unvaccinated, previously uninfected individuals, 80% to 98% of symptomatic infections with wild-type or Alpha variants were prevented (high strength of evidence). In the meta-analysis, previous infection reduced risk for reinfection by 87% (95% CI, 84% to 90%), equaling 4.3 fewer infections per 100 persons in both the general population (risk difference, -0.043 [CI, -0.071 to -0.015]) and health care workers (risk difference, -0.043 [CI, -0.069 to -0.016]), and 26.6 fewer infections per 100 persons in care facilities (risk difference, -0.266 [CI, -0.449 to -0.083]). Protection remained above 80% for at least 7 months, but no study followed patients after the emergence of the Delta or Omicron variant. Results for the elderly were conflicting. LIMITATION: Methods to ascertain and diagnose infections varied. CONCLUSION: Before the emergence of the Delta and Omicron variants, persons with recent infection had strong protection against symptomatic reinfections for 7 months compared with unvaccinated, previously uninfected individuals. Protection in immunocompromised persons, racial and ethnic subgroups, and asymptomatic index case patients is unclear. The durability of protection in the setting of the Delta and Omicron variants is unknown. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality. (PROSPERO: CRD42020207098).

Moving Through the Pipeline: Ethnic and Linguistic Disparities in Special Education from Birth Through Age Five.

This study examined Oregon's early intervention (EI) and early childhood special education (ECSE) pipelines as a function of children's intersecting ethnicity and home language(s) with a focus on children from Latino/a backgrounds with communication disorders. We found differences in children's referral source and age of referral, likelihood of evaluation and placement, and type of placement for conditions related to communication, including autism spectrum disorder and hearing impairment. Results showed differences in EI and ECSE; however, disproportionality appeared greatest among Spanish-speaking Latino/a children and non-Latino/a children who spoke languages other than English compared to non-Latino/a English-speaking counterparts. Our findings suggest attending to children's intersecting ethnicity and language backgrounds in referral, evaluation, and placement add nuance to examinations of disproportionality. Results also indicate that practices related to characterizing children's communication disorders likely make substantial contributions to inequities in EI and ECSE. Precise identification of differences in service provision can lead to targeted policy and practice solutions to reduce structural barriers to care in EI/ECSE systems and improve equity, particularly as related to placement for children of color with communication concerns.

Distance to Care, Rural Dwelling Status, and Patterns of Care Utilization in Adult Congenital Heart Disease.

Many patients with adult congenital heart disease (ACHD) do not receive guideline-directed care. While distance to an ACHD center has been identified as a potential barrier to care, the impact of distance on care location is not well understood. The Oregon All Payer All Claims database was queried to identify subjects 18-65 years who had a health encounter from 2010 to 2015 with an International Classification of Diseases-9 code consistent with ACHD. Residence area was classified using metropolitan statistical areas and driving distance was queried from Google Maps. Utilization rates and percentages were calculated and odds ratios were estimated using negative binomial and logistic regression. Of 10,199 identified individuals, 52.4% lived < 1 h from the ACHD center, 37.5% 1-4 h, and 10.1% > 4 h. Increased distance from the ACHD center was associated with a lower rate of ACHD-specific follow-up [< 1 h: 13.0% vs. > 4 h: 5.0%, adjusted OR 0.32 (0.22, 0.48)], but with more inpatient, emergency room, and outpatient visits overall. Those who more lived more than 4 h from the ACHD center had less inpatient visits at urban hospitals (55.5% vs. 93.9% in those < 1 h) and the ACHD center (6.2% vs. 18.2%) and more inpatient admissions at rural or critical access hospitals (25.5% vs. 1.9%). Distance from the ACHD center was associated with a decreased probability of ACHD follow-up but higher health service use overall. Further work is needed to identify strategies to improve access to specialized ACHD care for all individuals with ACHD.

Place Matters: Closing the Gap on Rural Primary Care Quality Improvement Capacity-the Healthy Hearts Northwest Study.

CONTEXT: To compare rural independent and health system primary care practices with urban practices to external practice facilitation support in terms of recruitment, readiness, engagement, retention, and change in quality improvement (QI) capacity and quality metric performance. METHODS: The setting consisted of 135 small or medium-sized primary care practices participating in the Healthy Hearts Northwest quality improvement initiative. The practices were stratified by geography, rural or urban, and by ownership (independent [physician-owned] or system-owned [health/hospital system]). The quality improvement capacity assessment (QICA) survey tool was used to measure QI at baseline and after 12 months of practice facilitation. Changes in 3 clinical quality measures (CQMs)-appropriate aspirin use, blood pressure (BP) control, and tobacco use screening and cessation-were measured at baseline in 2015 and follow-up in 2017. RESULTS: Rural practices were more likely to enroll in the study, with 1 out of 3.5 rural recruited practices enrolled, compared with 1 out of 7 urban practices enrolled. Rural independent practices had the lowest QI capacity at baseline, making the largest gain in establishing a regular QI process involving cross-functional teams. Rural independent practices made the greatest improvement in meeting the BP control CQM, from 55.5% to 66.1% (P ≤ .001) and the smoking cessation metric, from 72.3% to 86.7% (P ≤ .001). CONCLUSIONS: Investing practice facilitation and sustained QI strategies in rural independent practices, where the need is high and resources are low, will yield benefits that outweigh centrally prescribed models.

Association of Adults With Congenital Heart Disease-Specific Care With Clinical Characteristics and Healthcare Use.

Background Many adults with congenital heart disease (ACHD) are cared for by non-ACHD specialists, if they receive care at all. Little is known about the differences between those who access care at an ACHD center and those who do not access ACHD-specific care. Methods and Results The Oregon All Payer All Claims database was queried to identify subjects aged 18 to 65 years with an International Classification of Diseases,Ninth Revision (ICD-9) code consistent with ACHD from 2010 to 2015. ACHD center providers were identified using National Provider Identification numbers. Usage rates and percentages were calculated with person-years in the denominator, and rate ratios and odds ratios (ORs) were estimated using negative binomial and logistic regression. Only 11.7% of identified individuals (N=10 199) were seen at the ACHD center. These individuals were younger (median 36 versus 47 years; P<0.0001) and had higher rates of Medicaid insurance (47.8% versus 28.4%; P<0.0001), heart failure (31.4% versus 15.3%; P<0.0001), and arrhythmia (75.5 versus 49.2%; P<0.0001). They had more visits of all types (outpatient: 79% per year versus 64% per year [age-adjusted OR, 2.54; 99% CI, 2.24-2.88]; emergency department: 29% versus 22% per year [adjusted OR, 1.34; 99% CI, 1.18-1.52]; inpatient: 17% versus 12.0% per year [adjusted OR, 1.92; 99% CI, 1.67-2.20]). Rates of guideline-indicated annual echocardiography were low (7.7% overall, 13.4% in patients at the ACHD center). Conclusions Patients at an ACHD center comprise a distinct and complex group with a high rate of healthcare use and a relatively higher compliance with guideline-indicated annual follow-up. These findings underscore the importance of building and supporting robust systems for ACHD care in the United States.

Primary care practices' ability to predict future risk of expenditures and hospitalization using risk stratification and segmentation.

BACKGROUND: Patients with complex health care needs may suffer adverse outcomes from fragmented and delayed care, reducing well-being and increasing health care costs. Health reform efforts, especially those in primary care, attempt to mitigate risk of adverse outcomes by better targeting resources to those most in need. However, predicting who is susceptible to adverse outcomes, such as unplanned hospitalizations, ED visits, or other potentially avoidable expenditures, can be difficult, and providing intensive levels of resources to all patients is neither wanted nor efficient. Our objective was to understand if primary care teams can predict patient risk better than standard risk scores. METHODS: Six primary care practices risk stratified their entire patient population over a 2-year period, and worked to mitigate risk for those at high risk through care management and coordination. Individual patient risk scores created by the practices were collected and compared to a common risk score (Hierarchical Condition Categories) in their ability to predict future expenditures, ED visits, and hospitalizations. Accuracy of predictions, sensitivity, positive predictive values (PPV), and c-statistics were calculated for each risk scoring type. Analyses were stratified by whether the practice used intuition alone, an algorithm alone, or adjudicated an algorithmic risk score. RESULTS: In all, 40,342 patients were risk stratified. Practice scores had 38.6% agreement with HCC scores on identification of high-risk patients. For the 3,381 patients with reliable outcomes data, accuracy was high (0.71-0.88) but sensitivity and PPV were low (0.16-0.40). Practice-created scores had 0.02-0.14 lower sensitivity, specificity and PPV compared to HCC in prediction of outcomes. Practices using adjudication had, on average, .16 higher sensitivity. CONCLUSIONS: Practices using simple risk stratification techniques had slightly worse accuracy in predicting common outcomes than HCC, but adjudication improved prediction.