Background Measures of socioeconomic disadvantage may enable improved targeting of programs to prevent rehospitalizations, but obtaining such information directly from patients can be difficult. Measures of US neighborhood socioeconomic disadvantage are more readily available, although rarely employed clinically. Objective To evaluate the association between neighborhood socioeconomic disadvantage at the census block-group level, as measured by Singh’s validated Area Deprivation Index (ADI), and 30-day rehospitalization. Design Retrospective cohort study Setting United States Patients Random 5% national sample of fee-for-service Medicare patients discharged with congestive heart failure, pneumonia or myocardial infarction, 2004–2009 (N = 255,744) Measurements 30-day rehospitalizations. Medicare data were linked to 2000 Census data to construct an ADI for each patient’s census block-group, which were then sorted into percentiles by increasing ADI. Relationships between neighborhood ADI grouping and rehospitalization were evaluated using multivariate logistic regression models, controlling for patient sociodemographics, comorbidities/severity, and index hospital characteristics. Results The 30-day rehospitalization rate did not vary significantly across the least disadvantaged 85% of neighborhoods, which had an average rehospitalization rate=21%. However, within the most disadvantaged 15% of neighborhoods, rehospitalization rates rose from 22% to 27% with worsening ADI. This relationship persisted after full adjustment, with the most disadvantaged neighborhoods having a rehospitalization risk (adjusted risk ratio = 1.09, confidence interval 1.05–1.12) similar to that of chronic pulmonary disease (1.06, 1.04–1.08) and greater than that of diabetes (0.95, 0.94–0.97). Limitations No direct markers of care quality, access Conclusions Residence within a disadvantaged US neighborhood is a rehospitalization predictor of magnitude similar to chronic pulmonary disease. Measures of neighborhood disadvantage, like the ADI, could potentially be used to inform policy and post-hospital care. Primary Funding Source National Institute on Aging

Objective To examine the mortality and cardiovascular disease (CVD) burden among a population-based cohort of patients with systemic lupus erythematosus (SLE) with previously described late mean onset and low rates of organ-threatening disease. Methods This retrospective population-based cohort study investigated incident cases of SLE diagnosed from 1991–2008 and followed through March 2009 to examine rates of death and CVD events: myocardial infarction, stroke, or congestive heart failure hospitalization. Cases were identified using the 1997 update of 1982 American College of Rheumatology SLE criteria. Searches included electronic records, chart audits, and state death matches, with physician review. Age and sex-matched population comparisons facilitated relative event rate calculations. Results 70 incident SLE cases had late mean onset (52 years), with an incidence of 5 cases per 100,000/year. Matched comparisons showed similar baseline rates of hypertension, hyperlipidemia, and diabetes. However, SLE patients experienced more CVD in the 2 years preceding SLE diagnosis, odds ratio 3.8 (95% CI 1.8, 8.0). The estimated 10-year mortality rates were 26% for SLE subjects versus 19% for comparisons, hazard ratio (HR) 2.1, p<0.01. Adjusted for prior CVD, SLE cases still demonstrated increased hazards of mortality (HR 1.9, p=0.01) and CVD event or death (HR 1.8, p=0.01). Conclusion This incident SLE cohort demonstrated approximately doubled mortality and CVD event hazards compared to age and sex-matched comparisons, even after accounting for higher CVD events in the 2 years preceding SLE diagnosis. This raises future research questions regarding delayed lupus diagnosis versus accelerated CVD prior to SLE, particularly in older-onset SLE.

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Objectives To examine the prevalence and incidence of cardiovascular risk factors (CVRFs) including hypertension (HTN), hyperlipidemia (HL), diabetes mellitus (DM), and obesity among patients with psoriatic arthritis (PsA) and rheumatoid arthritis (RA) compared to the general population, and to examine the treatment of incident CVRFs in PsA and RA compared to controls. Methods A cohort study was conducted within The Health Improvement Network, a medical record database in the United Kingdom, using data from 1994 to 2014. Patients age 18-89 with PsA or RA were matched to controls on practice and start date. The prevalence and incidence of CVRFs identified by diagnostic codes were calculated. Cox proportional hazards models were used to examine the relative incidence of these cardiovascular risk factors. Finally, pharmacologic therapies for incident CVRFs were examined. Results Study subjects included patients with PsA (N=12,548), RA (N=53,215), and controls (N=389,269). The prevalence of all CVRFs was significantly elevated in PsA. Only the prevalence of DM and obesity was increased in RA. Incidence of HTN, HL, and DM was elevated in PsA and RA. Receipt of therapy within one year following incident diagnosis of CVRFs was not substantially different between the groups; approximately 85%, 65%, and 45% of patients received prescriptions for HTN, HL, and DM, respectively. Conclusion Patients with PsA have an increased prevalence of CVRFs, and both patients with PsA and RA have increased incidence of new diagnosis of CVRFs. Pharmacologic treatment of CVRFs in patients with PsA and RA was similar to controls in the UK.

Objective:Young adults meeting hypertension diagnostic criteria have a lower prevalence of a hypertension diagnosis than middle-aged and older adults. The purpose of this study was to compare the rates of a new hypertension diagnosis for different age groups and identify predictors of delays in the initial diagnosis among young adults who regularly use primary care.Methods:A 4-year retrospective analysis included 14 970 patients, at least 18 years old, who met clinical criteria for an initial hypertension diagnosis in a large, Midwestern, academic practice from 2008 to 2011. Patients with a previous hypertension diagnosis or prior antihypertensive medication prescription were excluded. The probability of diagnosis at specific time points was estimated by Kaplan–Meier analysis. Cox proportional hazard models (hazard ratio; 95% confidence interval) were fit to identify predictors of delays to an initial diagnosis, with a subsequent subset analysis for young adults (18–39 years old).Results:After 4 years, 56% of 18–24-year-olds received a diagnosis compared with 62% (25–31-year-olds), 68% (32–39-year-olds), and more than 70% (≥40-year-olds). After adjustment, 18–31-year-olds had a 33% slower rate of receiving a diagnosis (18–24 years hazard ratio 0.66, 0.53–0.83; 25–31 years hazard ratio 0.68, 0.58–0.79) compared with adults at least 60 years. Other predictors of a slower diagnosis rate among young adults were current tobacco use, white ethnicity, and non-English primary language. Young adults with diabetes, higher blood pressures, or a female provider had a faster diagnosis rate.Conclusion:Provider and patient factors are critical determinants of poor hypertension diagnosis rates among young adults with regular primary care use.

BACKGROUND About one-quarter of rehospitalized Medicare patients are admitted to hospitals different from their original. The extent to which this practice is related to for-profit hospital status, and impacts payments and mortality, is unknown. OBJECTIVE To describe and examine predictors of and payments for rehospitalization to a different hospital within 30 days among Medicare beneficiaries in for-profit and in not-for-profit/public hospitals. DESIGN Retrospective cohort study. SETTING Medicare fee-for-service hospitals throughout the United States. PARTICIPANTS Random 5% national sample of Medicare beneficiaries with acute-care rehospitalizations within 30-days of discharge, 2005–2006 (N=74,564). MEASUREMENTS 30-day rehospitalizations to different hospitals; total payments/mortality over subsequent 30-days. Multivariate logistic and quantile regression models included index hospital for-profit status, discharge counts, geographic region, rural-urban commuting area, and teaching status; and patient sociodemographics, disabled status, comorbidities, and a measure of risk-adjustment. RESULTS 22% (16,622) of the sample was rehospitalized to a different hospital. Factors associated with increased risk for rehospitalization to a different hospital included being hospitalized within a for-profit, major medical school-affiliated, or low volume index hospital, and having a Medicare-defined disability. When compared to those rehospitalized to the same hospital, patients rehospitalized to different hospitals had significantly higher adjusted 30-day total payments (median additional $1,308/patient, p-value<0.001), but no significant differences in 30-day mortality, regardless of index hospital for-profit status. LIMITATIONS The analysis lacked detailed clinical data, and did not assess specific provider practice motivations or the role of patient choice. CONCLUSIONS Rehospitalizations to different hospitals are common among Medicare beneficiaries, more likely among those initially hospitalized at a for-profit hospital, and related to increased overall payments without improved mortality.

Objective Despite increased cardiovascular disease (CVD) risk, rheumatoid arthritis (RA) patients often lack CVD preventive care. We examined CVD preventive care processes from RA patient and provider perspectives to develop a process map to identify targets for future interventions to improve CVD preventive care. Methods Thirty-one participants (15 patients, 7 rheumatologists, 9 primary care physicians (PCPs)) participated in interviews, which were coded using NVivo software and analyzed using grounded theory techniques. Results Patients and providers reported that receipt of preventive care depends upon identifying and acting on risk factors, although most noted that both processes rarely occurred. Engagement in these processes was influenced by various provider, system, visit, and patient-related conditions such as patient activation or knowledge about their risk. While nearly half of patients and PCPs were unaware of RA-CVD risk, all rheumatologists were aware of risk. Rheumatologists reported not systematically identifying risk factors, or, if identified, described communicating about CVD risk factors via clinic notes to PCPs instead of acting directly due to perceived role boundaries. PCPs suggested that scheduling PCP visits could improve CVD risk management, and all participants viewed co-management positively. Conclusion Findings from this study illustrate important gaps and opportunities to support identifying and acting on CVD risk factors in RA patients from the provider, system, visit, and patient levels. Future work should investigate professional role support through improved guidelines, patient activation, and system-based RA-CVD preventive care strategies.

Aims Most patients with diabetes have comorbid chronic conditions that could support (concordant) or compete with (discordant) diabetes care. We sought to determine the impact of the number of concordant and discordant chronic conditions on diabetes care quality. Methods Logistic regression analysis of electronic health record data from 7 health systems on 24,430 patients with diabetes aged 18-75 years. Diabetes testing and control quality care goals were the outcome variables. The number of diabetes-concordant and the number of diabetes-discordant conditions were the main explanatory variables. Analysis was adjusted for health care utilization, health system and patient demographics. Results A higher number of concordant conditions were associated with higher odds of achieving testing and control goals for all outcomes except blood pressure control. There was no to minimal positive association between the number of discordant conditions and outcomes, except for cholesterol testing which was less likely with 4+ discordant conditions. Conclusions Having more concordant conditions makes diabetes care goal achievement more likely. The number of discordant conditions has a smaller, inconsistently significant impact on diabetes goal achievement. Interventions to improve diabetes care need to align with a patient’s comorbidities, including the absence of comorbidities, especially concordant comorbidities.