Delayed Recognition of Coronavirus Disease 2019 (COVID-19) in New York City: A Descriptive Analysis of COVID-19 Illness Prior to 29 February 2020.

BACKGROUND: On 30 January 2020, COVID-19 was declared a Public Health Emergency of International Concern (PHEIC) by the World Health Organization. Almost a month later, on 29 February 2020, the first case in New York City (NYC) was diagnosed. METHODS: Three hundred sixty persons with COVID-19-like illness were reported to the NYC Department of Health and Mental Hygiene (DOHMH) before 29 February, but 37 of these tested negative and 237 were never tested for severe acute respiratory syndrome coronavirus 2. Records of 86 persons with confirmed COVID-19 and reported symptom onset prior to 29 February 2020 were reviewed by 4 physician-epidemiologists. Case-patients were classified as possible delayed recognition (PDR) of COVID-19 when upon medical review the reported onset date was believed to reflect the initial symptoms of COVID-19, or insufficient evidence to classify, when the onset could not be determined with confidence. Clinical and epidemiological factors collected by DOHMH and supplemented with emergency department records were analyzed. RESULTS: Thirty-nine PDR COVID-19 cases were identified. The majority had severe disease with 69% presenting to an emergency department within 2 weeks of symptom onset. The first PDR COVID-19 case had symptom onset on 28 January 2020. Only 7 of the 39 cases (18%) had traveled internationally within 14 days of onset (none to China). CONCLUSIONS: COVID-19 was in NYC before being classified as a PHEIC, and eluded surveillance for another month. The delay in recognition limited mitigation efforts; by the time city- and statewide mandates were enacted, 16 and 22 days later, there was already widespread community transmission.

Facilitation of team-based care to improve HTN management and outcomes: a protocol for a randomized stepped wedge trial.

BACKGROUND: There are well-established guidelines for treating hypertension (HTN), yet only half of patients with HTN meet the defined target of < 140/90. Team-based care (TBC) is an evidence-based strategy for improving blood pressure (BP) management and control. TBC is defined as the provision of health services by at least two health professionals "who work collaboratively with patients and their caregivers to accomplish shared goals to achieve coordinated, high-quality care". However, primary care practices experience challenges to implementing TBC principles and care processes; these are more pronounced in small independent practice settings (SIPs). Practice facilitation (PF) is an implementation strategy that may overcome barriers to adopting evidence-based TBC to improve HTN management in SIPs. METHODS: Using a stepped wedge randomized controlled trial design, we will test the effect of PF on the adoption of TBC to improve HTN management in small practices (< 5 FTE clinicians) in New York City, and the impact on BP control compared with usual care. We will enroll 90 SIPs and randomize them into one of three 12-month intervention waves. Practice facilitators will support SIPs to adopt TBC principles to improve implementation of five HTN management strategies (i.e., panel management, population health, measuring BP, supporting medication adherence, self-management). The primary outcome is the adoption of TBC for HTN management measured at baseline and 12 months. Secondary outcomes include the rate of BP control and sustainability of TBC and BP outcomes at 18 months. Aggregated data on BP measures are collected every 6 months in all clusters so that each cluster provides data points in both the control and intervention conditions. Using a mixed methods approach, we will also explore factors that influence the effectiveness of PF at the organization and team level. DISCUSSION: This study will provide much-needed guidance on how to optimize adoption and sustainability of TBC in independent primary care settings to reduce the burden of disease related to suboptimal BP control and advance understanding of how facilitation works to improve implementation of evidence-based interventions. TRIAL REGISTRATION: ClinicalTrials.gov; NCT05413252 .

Coronavirus Disease 2019 (COVID-19) Outbreaks at 2 Construction Sites-New York City, October-November 2020.

During 23 October-16 November 2020, the New York City Department of Health and Mental Hygiene investigated coronavirus disease 2019 (COVID-19) outbreaks at 2 construction sites. Challenges in adhering to the New York State Department of Health "Interim COVID-19 Guidance for Construction" were reported. To minimize outbreaks, jurisdictions should increase tailored outreach to the construction industry, emphasizing infection prevention.

Supportive Housing and Its Relationship With Diabetes Diagnosis and Management Among Homeless Persons in New York City.

Supportive housing addresses a fundamental survival need among homeless persons, which can lead to reduced risk of diabetes mellitus and improved diabetes care. We tested the association between supportive housing and diabetes outcomes among homeless adults who were eligible for New York City's supportive housing program in 2007-2012. We used multiple administrative data sources, identifying 7,525 Medicaid-eligible adults. The outcomes included receiving medical evaluation and management services, hemoglobin A1C and lipid testing (n = 1,489 persons with baseline diabetes), and incidence of new diabetes diagnoses (n = 6,036 persons without baseline diabetes) in the 2 years postbaseline. Differences in these outcomes by placement were estimated using inverse-probability-of-treatment weighting. Placed persons were more likely to receive evaluation and management services (relative risk (RR) = 1.03, 95% confidence interval (CI): 1.01, 1.04) than unplaced persons. For those with baseline diabetes, placed persons were more likely to receive hemoglobin A1C tests (RR = 1.10, 95% CI: 1.02, 1.19) and lipid tests (RR = 1.09, 95% CI: 1.02, 1.17). For those without baseline diabetes, placement was also associated with lower risk of new diabetes diagnoses (RR = 0.87, 95% CI: 0.76, 0.99). These findings show that benefits of supportive housing may be extended to diabetes care and prevention.

Associations of Residential Socioeconomic, Food, and Built Environments With Glycemic Control in Persons With Diabetes in New York City From 2007-2013.

In the present study, we examined the longitudinal associations between residential environmental factors and glycemic control in 182,756 adults with diabetes in New York City from 2007 to 2013. Glycemic control was defined as a hemoglobin A1c (HbA1c) level less than 7%. We constructed residential-level measures and performed principle component analysis to formulate a residential composite score. On the basis of this score, we divided residential areas into quintiles, with the lowest and highest quintiles reflecting the least and most advantaged residential environments, respectively. Several residential-level environmental characteristics, including more advantaged socioeconomic conditions, greater ratio of healthy food outlets to unhealthy food outlets, and residential walkability were associated with increased glycemic control. Individuals who lived continuously in the most advantaged residential areas took less time to achieve glycemic control compared with the individuals who lived continuously in the least advantaged residential areas (9.9 vs. 11.5 months). Moving from less advantaged residential areas to more advantaged residential areas was related to improved diabetes control (decrease in HbA1c = 0.40%, 95% confidence interval: 0.22, 0.55), whereas moving from more advantaged residential areas to less advantaged residential areas was related to worsening diabetes control (increase in HbA1c = 0.33%, 95% confidence interval: 0.24, 0.44). These results show that residential areas with greater resources to support healthy food and residential walkability are associated with improved glycemic control in persons with diabetes.

Quality of Cardiovascular Disease Care in Small Urban Practices.

PURPOSE: We wanted to describe small, independent primary care practices' performance in meeting the Million Hearts ABCSs (aspirin use, blood pressure control, cholesterol management, and smoking screening and counseling), as well as on a composite measure that captured the extent to which multiple clinical targets are achieved for patients with a history of arteriosclerotic cardiovascular disease (ASCVD). We also explored relationships between practice characteristics and ABCS measures. METHODS: We conducted a cross-sectional, bivariate analysis using baseline data from 134 practices in New York City. ABCS data were extracted from practices' electronic health records and aggregated to the site level. Practice characteristics were obtained from surveys of clinicians and staff at each practice. RESULTS: The proportion of at-risk patients meeting clinical goals for each of the ABCS measures was 73.0% for aspirin use, 69.6% for blood pressure, 66.7% for cholesterol management, and 74.2% screened for smoking and counseled. For patients with a history of ASCVD, only 49% were meeting all ABC (aspirin use, blood pressure control, cholesterol management) targets (ie, composite measure). Solo practices were more likely to meet clinical guidelines for aspirin (risk ratio [RR] =1.17, P =.007) and composite (RR=1.29, P = .011) than practices with multiple clinicians. CONCLUSION: Achieving targets for ABCS measures varied considerably across practices; however, small practices were meeting or exceeding Million Hearts goals (ie, 70% or greater). Practices were less likely to meet consistently clinical targets that apply to patients with a history of ASCVD risk factors. Greater emphasis is needed on providing support for small practices to address the complexity of managing patients with multiple risk factors for primary and secondary ASCVD.

Gender and Race Disparities in Cardiovascular Disease Risk Factors among New York City Adults: New York City Health and Nutrition Examination Survey (NYC HANES) 2013-2014.

While gender and racial/ethnic disparities in cardiovascular disease (CVD) risk factors have each been well characterized, few studies have comprehensively examined how patterns of major CVD risk factors vary and intersect across gender and major racial/ethnic groups, considered together. Using data from New York City Health and Nutrition Examination Survey 2013-2014-a population-based, cross-sectional survey of NYC residents ages 20 years and older-we measured prevalence of obesity, hypertension, hypercholesterolemia, smoking, and diabetes across gender and race/ethnicity groups for 1527 individuals. We used logistic regression with predicted marginal to estimate age-adjusted prevalence ratio by gender and race/ethnicity groups and assess for potential additive and multiplicative interaction. Overall, women had lower prevalence of CVD risk factors than men, with less hypertension (p = 0.040), lower triglycerides (p < 0.001), higher HDL (p < 0.001), and a greater likelihood of a heart healthy lifestyle, more likely not to smoke and to follow a healthy diet (p < 0.05). When further stratified by race/ethnicity, however, the female advantage was largely restricted to non-Latino white women. Non-Latino black women had significantly higher risk of being overweight or obese, having hypertension, and having diabetes than non-Latino white men or women, or than non-Latino black men (p < 0.05). Non-Latino black women also had higher total cholesterol compared to non-Latino black men (184.4 vs 170.5 mg/dL, p = 0.010). Despite efforts to improve cardiovascular health and narrow disparities, non-Latino black women continue to have a higher burden of CVD risk factors than other gender and racial/ethnic groups. This study highlights the importance of assessing for intersectionality between gender and race/ethnicity groups when examining CVD risk factors.

Poorly Controlled Diabetes in New York City: Mapping High-Density Neighborhoods.

OBJECTIVE: To identify geographic areas in New York City (NYC) for implementing programming focused on reducing the burden attributed to poor glycemic control and improving the health of New Yorkers. DESIGN: We geocoded addresses of NYC residents in the NYC Hemoglobin A1c (HbA1C) Registry with high (>9%) HbA1c test values from 2011 to 2013 on an NYC base map. The ArcGIS point density spatial analysis tool was applied to create a map of NYC residents with diabetes in poor glycemic control. SETTING: The setting for HbA1c testing was medical facilities within NYC. PARTICIPANTS: The study population included NYC residents (excluding undomiciled persons and addresses corresponding to prisons, hospitals, or nursing homes) 18 years or older who underwent HbA1c testing from 2011 to 2013. MAIN OUTCOME MEASURES: A map depicting point density of NYC residents with poor glycemic control was developed each year from 2011 to 2013 (2011: n = 70 359; 2012: n = 75 643; 2013: n = 78 694). RESULTS: Particularly, high densities of persons in poor glycemic control were identified in Flatbush, East Harlem, Washington Heights/Inwood, and the South Bronx. The 2 highest-density gradients (out of 9) covered approximately 1.7% of the total habitable area in NYC, while accounting for more than 1 in 10 (10.5%) persons in poor glycemic control. The 3 highest-density gradients covered 4.1% of NYC's habitable area and accounted for more than 1 in 5 (21.9%) persons in poor glycemic control. CONCLUSION: The point density analysis highlighted several defined geographic areas representing a meaningful proportion of the population in poor glycemic control. This analysis could be used to raise community awareness and guide potential programming focused on reducing the burden of poor glycemic control such as the placement of diabetes self-management education classes, community health workers, and farmers' markets. Given the geographic breadth of NYC and limited resources, focused efforts on these defined areas would reach a sizeable number of the at-risk population.

Diabetes Among People With Tuberculosis, HIV Infection, Viral Hepatitis B and C, and STDs in New York City, 2006-2010.

Matching infectious disease surveillance data has become a routine activity for many health departments. With the increasing focus on chronic disease, it is also useful to explore opportunities to match infectious and chronic disease surveillance data. To understand the burden of diabetes in New York City (NYC), adults with select infectious diseases (tuberculosis, HIV infection, hepatitis B, hepatitis C, chlamydial infection, gonorrhea, and syphilis) reported between 2006 and 2010 were matched with hemoglobin A1c results reported in the same period. Persons were considered to have diabetes with 2 or more hemoglobin A1c test results of 6.5% or higher. The analysis was restricted to persons who were 18 years or older at the time of first report, either A1c or infectious disease. Overall age-adjusted diabetes prevalence was 8.1%, and diabetes prevalence was associated with increasing age; among NYC residents, prevalence ranged from 0.6% among 18- to 29-year-olds to 22.4% among those 65 years and older. This association was also observed in each infectious disease. Diabetes prevalence was significantly higher among persons with tuberculosis born in Mexico, Jamaica, Honduras, Guyana, Bangladesh, Dominican Republic, the Philippines, and Haiti compared with those born in the United States after adjusting for age and sex. Hepatitis C virus-infected women had higher age-adjusted prevalence of diabetes compared with the NYC population as a whole. Recognizing associations between diabetes and infectious diseases can assist early diagnosis and management of these conditions. Matching chronic disease and infectious disease surveillance data has important implications for local health departments and large health system practices, including increasing opportunities for integrated work both internal to systems and with the local community. Large health systems may consider opportunities for increased collaboration across infectious and chronic disease programs facilitated through data linkages of routinely collected surveillance data.

Effect of an electronic alert on treatment of skin and soft tissue infections.

This is a prospective intervention study conducted between 2007 and 2011 to evaluate whether an electronic alert can influence provider practice in treatment of skin and soft tissue infections (SSTIs). A best-practice alert (BPA) was programmed to appear for intervention ICD-9 SSTI diagnoses. Controls were patients who had other SSTI ICD-9 codes where the BPA was not programmed to fire. Rate of culture taken in patients was compared between patients in the intervention and control groups. We found that cultures were taken among 13.5% of the intervention group and 5.4% of the control group (p <.0001). A logistic regression analysis controlling for covariates showed the odds of the intervention group having a culture taken was 2.6 times that of the control group. The results of this study support the use of BPAs for improving the management of SSTIs.

Outcomes of New York City Care Calls: A Prospective Randomized Controlled Effectiveness Trial of Telephone-Delivered Type 2 Diabetes Self-Management Support.

PURPOSE: The purpose of the 12-month randomized controlled trial was to evaluate the effectiveness of a Telephonic Self-Management Support (T-SMS) program among adults with type 2 diabetes (T2D). METHODS: Eight hundred twelve adults with T2D participated in NYC Care Calls (mean age = 59.2, SD = 10.8; female = 57%; mean A1C = 9.3, SD = 1.8; Latino = 86%) and were randomly assigned to T-SMS or enhanced usual care (EUC). A1C (primary outcome), blood pressure, and body mass index (secondary outcomes) were extracted from electronic medical records. Secondary patient-reported outcomes, including depressive symptoms, diabetes distress, medication adherence, and self-management activities, were assessed by telephone in English or Spanish. For T-SMS, the number of assigned phone calls was based on baseline A1C, depressive symptoms, and/or diabetes distress. Analyses were conducted under the intention-to-treat principle. RESULTS: A1C decreased over 12 months in both T-SMS (0.72% percentage points; 95% CI, 0.53-0.91) and EUC (0.66% percentage points; 95% CI, 0.46-0.85; Ps < .001). Diabetes distress and self-management also improved over time in both arms (Ps < .05). Compared to EUC, participants in the T-SMS arm did not differ in outcomes. CONCLUSIONS: The T-SMS and EUC groups were found not to have an appreciable outcome difference. It is unclear whether improvements in A1C across both conditions represent a secular trend or indicate that print-based educational intervention may have a positive impact on self-management and well-being.

Evaluation of a pilot respiratory virus surveillance system linking electronic health record and diagnostic data.

CONTEXT: During the onset of 2009 pandemic influenza A (H1N1) (pH1N1), the New York City Department of Health and Mental Hygiene implemented a pilot respiratory virus surveillance system. OBJECTIVES: We evaluated the performance of this pilot system, which linked electronic health record (EHR) clinical, epidemiologic, and diagnostic data to monitor influenza-like illness (ILI) in the community. DESIGN: Surveillance was conducted at 9 community health centers with EHRs. Clinical decision support system alerts encouraged diagnostic testing of patients. Rapid influenza diagnostic testing (RIDT) and multiplex polymerase chain reaction assay (MassTag PCR) were performed sequentially. SETTING: Nine Institute for Family Health (IFH) clinics in Manhattan and the Bronx during May 26 to June 30, 2009, the pH1N1 outbreak peak. PARTICIPANTS: Adult and pediatric patients presenting to IFH clinics during May 26 to June 30, 2009. MAIN OUTCOME MEASURES: By using Centers for Disease Control and Prevention guidelines, we evaluated the system's completeness, sensitivity, timeliness, and epidemiologic usefulness. RESULTS: Of 537 ILI visits (5.7% of all visits), 17% underwent diagnostic testing. Of the 132 specimens with both a RIDT and MassTag PCR result, 90 (68%) had a MassTag PCR-identified respiratory virus, most commonly pH1N1 (n = 69; 77%). Of the 81 specimens that met the ILI case definition, 58 (72%) were positive for a respiratory virus tested for by MassTag PCR; 48 (59%) were positive for pH1N1. Ninety-four percent of ILI patients positive for pH1N1 were 45 years or younger. Sensitivity and specificity of RIDT (29% and 94%) and ILI case definition (70% and 48%) for pH1N1 were calculated using MassTag PCR as the standard. Results of RIDT took a median of 6 days. CONCLUSIONS: Despite low RIDT sensitivity for pH1N1 and limited timeliness, integration of EHR and diagnostic data has potential to provide valuable epidemiologic information, guide public health response, and represents a new model for community surveillance for influenza and respiratory viruses.

Practice facilitation for scale up of clinical decision support for hypertension management: study protocol for a cluster randomized control trial.

BACKGROUND: Only half of patients with hypertension have adequately controlled blood pressure. Clinical decision support (CDS) has the potential to overcome barriers to delivering guideline-recommended care and improve hypertension management. However, optimal strategies for scaling CDS have not been well established, particularly in small, independent primary care practices which often lack the resources to effectively change practice routines. Practice facilitation is an implementation strategy that has been shown to support process changes. Our objective is to evaluate whether practice facilitation provided with hypertension-focused CDS can lead to improvements in blood pressure control for patients seen in small primary care practices. METHODS/DESIGN: We will conduct a cluster randomized control trial to compare the effect of hypertension-focused CDS plus practice facilitation on BP control, as compared to CDS alone. The practice facilitation intervention will include an initial training in the CDS and a review of current guidelines along with follow-up for coaching and integration support. We will randomize 46 small primary care practices in New York City who use the same electronic health record vendor to intervention or control. All patients with hypertension seen at these practices will be included in the evaluation. We will also assess implementation of CDS in all practices and practice facilitation in the intervention group. DISCUSSION: The results of this study will inform optimal implementation of CDS into small primary care practices, where much of care delivery occurs in the U.S. Additionally, our assessment of barriers and facilitators to implementation will support future scaling of the intervention. CLINICALTRIALS: gov Identifier: NCT05588466.

Diabetes-Related Quality of Life: Learning From Individuals Making Lifestyle Changes to Improve Type 2 Diabetes Control.

PURPOSE: The purpose of this study was to explore how treatment adherence and lifestyle changes required for glycemic control in type 2 diabetes (T2D) are related to quality of life (QoL) among predominantly ethnic minority and socioeconomically disadvantaged adults engaged in making changes to improve T2D self-management. METHODS: Adults with T2D in New York City were recruited for the parent study based on recent A1C (≥7.5%) and randomly assigned to 1 of 2 arms, receiving educational materials and additional self-management support calls, respectively. Substudy participants were recruited from both arms after study completion. Participants (N = 50; 62% Spanish speaking) were interviewed by phone using a semistructured guide and were asked to define QoL and share ways that T2D, treatment, self-management, and study participation influenced their QoL. Interviews were analyzed using thematic analysis. RESULTS: QoL was described as a multidimensional health-related construct with detracting and enhancing factors related to T2D. Detracting factors included financial strain, symptom progression and burden, perceived necessity to change cultural and lifestyle traditions, and dietary and medical limitations. Enhancing factors included social support, diabetes education, health behavior change, sociocultural connection. CONCLUSION: QoL for diverse and socioeconomically disadvantaged adults with T2D is multifaceted and includes aspects of health, independence, social support, culture, and lifestyle, which may not be captured by existing QoL measures. Findings may inform the development of a novel QoL measure for T2D.

Worldwide emergence of multiple clades of enterovirus 68.

Human enterovirus 68 (EV-D68) is a historically rarely reported virus linked with respiratory disease. In the past 3 years, a large increase in respiratory disease associated with EV-D68 has been reported, with documented outbreaks in North America, Europe and Asia. In several outbreaks, genetic differences were identified among the circulating strains, indicating the presence of multiple clades. In this report, we analyse archived and novel EV-D68 strains from Africa and the USA, obtained from patients with respiratory illness. Phylogenetic analysis of all EV-D68 sequences indicates that, over the past two decades, multiple clades of the virus have emerged and spread rapidly worldwide. All clades appear to be currently circulating and contributing to respiratory disease.

Strengthening public health and primary care collaboration through electronic health records.

Electronic health records (EHRs) have great potential to serve as a catalyst for more effective coordination between public health departments and primary care providers (PCP) in maintaining healthy communities. As a system for documenting patient health data, EHRs can be harnessed to improve public health surveillance for communicable and chronic illnesses. EHRs facilitate clinical alerts informed by public health goals that guide primary care physicians in real time in their diagnosis and treatment of patients. As health departments reassess their public health agendas, the use of EHRs to facilitate this agenda in primary care settings should be considered. PCPs and EHR vendors, in turn, will need to configure their EHR systems and practice workflows to align with public health priorities as these agendas include increased involvement of primary care providers in addressing public health concerns.

Impact of integrating public health clinical decision support alerts into electronic health records on testing for gastrointestinal illness.

Laboratory testing by clinicians is essential to outbreak investigations. Electronic health records may increase testing through clinical decision support that alerts providers about existing outbreaks and facilitates laboratory ordering. The impact on laboratory testing was evaluated for foodborne disease outbreaks between 2006 and 2009. After controlling for standard public health messaging and season, decision support resulted in a significant increase in laboratory testing and may be useful in enhancing public health messaging and provider action.

Patient experiences at primary care practices using electronic health records.

We assessed patient experiences before and one year after electronic health record (EHR) implementation among primary care practices in New York City. These practices represented an ethnically diverse population in lower-income, urban communities. Surveys, available in English, Spanish, and Chinese languages, were administered at 10 sites. Generally, patients reported positive responses during both periods. After EHR implementation, patients were more likely to want e-mail communication with their doctors' office. The 70% of patients with Internet access were generally more satisfied with their experience and more likely to recognize benefits of EHRs. However, older patients and those with lower education levels or chronic diseases were significantly less likely than their counterparts to use the Internet. Therefore, disparities in Internet access could potentially lead to unequal access and use of healthcare if not addressed. Practices should routinely record patient communication preferences within the EHR, to tailor communications and improve patient experiences.

Medication Nonuse and Hospital Utilization: Medicaid Participants With Type 2 Diabetes in New York City.

INTRODUCTION: This study assesses the proportion of New York City Medicaid participants diagnosed with type 2 diabetes who did not have any claims for diabetes medication for an entire year and the association between nonuse of diabetes medication and subsequent hospitalizations. METHODS: The 2014‒2016 New York State Medicaid claims data were used for this cohort study. Two types of hospitalizations were examined: all-cause hospitalizations and preventable diabetes hospitalizations. A potential association between medication nonuse and the number of hospitalizations in the following year was assessed using the negative binomial regression model, adjusting for individual- and neighborhood-level factors. The study was conducted in 2019‒2020. RESULTS: Among the 117,183 individuals included in this study, 27.5% did not use any diabetes medication for an entire year. Compared with individuals using oral hypoglycemic medication only, the crude rate of all-cause hospitalizations among individuals who used no medication was approximately twice as high (37,111 vs 19,209 per 100,000 population), and the crude rate of preventable diabetes hospitalizations was almost 3 times as high (1,488 vs 537 per 100,000 population). Adjusting for individual- and neighborhood-level characteristics, medication nonuse was still associated with higher levels of all-cause hospitalizations (incidence rate ratio=1.26; 95% CI=1.21, 1.31) and preventable diabetes hospitalizations (incidence rate ratio=1.66; 95% CI=1.39, 1.99). CONCLUSIONS: Medication use and adherence are important for managing diabetes. However, almost 30% of New York City Medicaid participants with type 2 diabetes had no claims for diabetes medication for an entire year. Significantly higher hospitalization rates among this group warrant attention from providers and policy makers.