National Trends and Geographic Variation in Availability of Home Health Care: 2002-2015.

OBJECTIVES: To evaluate national trends and geographic variation in the availability of home health care from 2002 to 2015 and identify county-specific characteristics associated with home health care. DESIGN: Observational study. SETTING: All counties in the United States. PARTICIPANTS: All Medicare-certified home health agencies included in the Centers for Medicare & Medicaid Services Home Health Compare system. MEASUREMENTS: County-specific availability of home health care, defined as the number of available home health agencies that provided services to a given county per 100,000 population aged ≥18 years. RESULTS: The study included 15,184 Medicare-certified home health agencies that served 97% of U.S. ZIP codes. Between 2002-2003 and 2014-2015, the county-specific number of available home health agencies per 100,000 population aged ≥18 years increased from 14.7 to 21.8 and the median (inter-quartile range) population that was serviced by at least one home health agency increased from 403,605 (890,329) to 455,488 (1,039,328). Considerable geographic variation in the availability of home health care was observed. The West, North East, and South Atlantic regions had lower home health care availability than the Central regions, and this pattern persisted over the study period. Counties with higher median income, a larger senior population, higher rates of households without a car and low access to stores, more obesity, greater inactivity, and higher proportions of non-Hispanic white, non-Hispanic black, and Hispanic populations were more likely to have higher availability of home health care. CONCLUSION: The availability of home health care increased nationwide during the study period, but there was much geographic variation.

Average Temperature, Diurnal Temperature Variation, and Stroke Hospitalizations.

BACKGROUND: Studies assessing the relationship between meteorological factors and stroke incidence are inconsistent. We assessed the associations of average temperature and diurnal temperature fluctuations with ischemic stroke hospitalizations in a nationally representative sample of patients in the United States. METHODS: Hospitalizations were identified for adults aged 18 years or older in the 2009-2011 Nationwide Inpatient Sample and linked with county-level monthly average temperatures from the United States National Climatic Data Center. Logistic regression models assessed the relationships of 5°F increases in average temperature and diurnal temperature variation (difference between high- and low-daily temperatures) with the odds of ischemic stroke hospitalization (International Classification of Diseases, Ninth Revision, Clinical Modification codes 433, 434, and 436), adjusting for patient characteristics and dew point. Models were stratified by age (18-64, ≥65 years), season, and region, with analysis at the hospitalization level. RESULTS: Increased average temperature was associated with decreased odds of stroke hospitalization among both age groups and across seasons in the Northeast, and among the elderly in the West. Increased diurnal temperature variation was associated with increased odds of stroke hospitalization for nearly all regions in the spring to fall seasons; associations were most pronounced in the Northeast and strongest in the spring. CONCLUSIONS: Lower average temperature and larger diurnal temperature variations were associated with stroke hospitalizations. Associations were strongest in the Northeast and largely similar across seasons and age. Further research is needed to explore the mechanisms underlying these associations. Understanding these patterns may lead to targeted prevention strategies for vulnerable populations during periods of extreme weather conditions.

Sex Differences in Cardiac Risk Factors, Perceived Risk, and Health Care Provider Discussion of Risk and Risk Modification Among Young Patients With Acute Myocardial Infarction: The VIRGO Study.

BACKGROUND: Differences between sexes in cardiac risk factors, perceptions of cardiac risk, and health care provider discussions about risk among young patients with acute myocardial infarction (AMI) are not well studied. OBJECTIVES: This study compared cardiac risk factor prevalence, risk perceptions, and health care provider feedback on heart disease and risk modification between young women and men hospitalized with AMI. METHODS: We studied 3,501 AMI patients age 18 to 55 years enrolled in the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study in U.S. and Spanish hospitals between August 2008 and January 2012, comparing the prevalence of 5 cardiac risk factors by sex. Modified Poisson regression was used to assess sex differences in self-perceived heart disease risk and self-reported provider discussions of risk and modification. RESULTS: Nearly all patients (98%) had ≥1 risk factor, and 64% had ≥3. Only 53% of patients considered themselves at risk for heart disease, and even fewer reported being told they were at risk (46%) or that their health care provider had discussed heart disease and risk modification (49%). Women were less likely than men to be told they were at risk (relative risk: 0.89; 95% confidence interval: 0.84 to 0.96) or to have a provider discuss risk modification (relative risk: 0.84; 95% confidence interval: 0.79 to 0.89). There was no difference between women and men for self-perceived risk. CONCLUSIONS: Despite having significant cardiac risk factors, only one-half of young AMI patients believed they were at risk for heart disease before their event. Even fewer discussed their risks or risk modification with their health care providers; this issue was more pronounced among women.

Symptom recognition and healthcare experiences of young women with acute myocardial infarction.

BACKGROUND: Prompt recognition of acute myocardial infarction symptoms and timely care-seeking behavior are critical to optimize acute medical therapies. Relatively little is known about the symptom presentation and care-seeking experiences of women aged ≤55 years with acute myocardial infarction, a group shown to have increased mortality risk as compared with similarly aged men. Understanding symptom recognition and experiences engaging the healthcare system may provide opportunities to reduce delays and improve acute care for this population. METHODS AND RESULTS: We conducted a qualitative study using in-depth interviews with 30 women (aged 30-55 years) hospitalized with acute myocardial infarction to explore their experiences with prodromal symptoms and their decision-making process to seek medical care. Five themes characterized their experiences: (1) prodromal symptoms varied substantially in both nature and duration; (2) they inaccurately assessed personal risk of heart disease and commonly attributed symptoms to noncardiac causes; (3) competing and conflicting priorities influenced decisions about seeking acute care; (4) the healthcare system was not consistently responsive to them, resulting in delays in workup and diagnosis; and (5) they did not routinely access primary care, including preventive care for heart disease. CONCLUSIONS: Participants did not accurately assess their cardiovascular risk, reported poor preventive health behaviors, and delayed seeking care for symptoms, suggesting that differences in both prevention and acute care may be contributing to young women's elevated acute myocardial infarction mortality relative to men. Identifying factors that promote better cardiovascular knowledge, improved preventive health care, and prompt care-seeking behaviors represent important target for this population.

Age and sex differences in inhospital complication rates and mortality after percutaneous coronary intervention procedures: evidence from the NCDR(®).

BACKGROUND: Older women experience higher complication rates and mortality after percutaneous coronary intervention (PCI) than men, but there is limited evidence about sex-based differences in outcomes among younger patients. We compared rates of complications and inhospital mortality by sex for younger and older PCI patients. METHODS: A total of 1,079,751 hospital admissions for PCI were identified in the CathPCI Registry(®) from 2005 to 2008. Complication rates (general, bleeding, bleeding with transfusion, and vascular) and inhospital mortality after PCI were compared by sex and age (<55 and ≥55 years). Analyses were adjusted for demographic and clinical factors and stratified by PCI type (elective, urgent, or emergency). RESULTS: Overall, 6% of patients experienced complications, and 1% died inhospital. Unadjusted complication rates were higher for women compared with men in both age groups. In risk-adjusted analyses, younger women (odds ratio 1.24, 95% CI 1.16-1.33) and older women (1.27, 1.09-1.47) were more likely to experience any complication than similarly aged men. The increased risk persisted across complication categories and PCI type. Within age groups, risk-adjusted mortality was marginally higher for young women (1.19, 1.00-1.41), but not for older women (1.03, 0.97-1.10). In analyses stratified by PCI type, young women had twice the mortality risk after an elective procedure as young men (2.04, 1.15-3.61). CONCLUSIONS: Women, regardless of age, experience more complications after PCI than men; young women are at increased mortality risk after an elective PCI. Identifying strategies to reduce adverse outcomes, particularly for women younger than 55 years, is important.

Depression as a risk factor for poor prognosis among patients with acute coronary syndrome: systematic review and recommendations: a scientific statement from the American Heart Association.

BACKGROUND: Although prospective studies, systematic reviews, and meta-analyses have documented an association between depression and increased morbidity and mortality in a variety of cardiac populations, depression has not yet achieved formal recognition as a risk factor for poor prognosis in patients with acute coronary syndrome by the American Heart Association and other health organizations. The purpose of this scientific statement is to review available evidence and recommend whether depression should be elevated to the status of a risk factor for patients with acute coronary syndrome. METHODS AND RESULTS: Writing group members were approved by the American Heart Association's Scientific Statement and Manuscript Oversight Committees. A systematic literature review on depression and adverse medical outcomes after acute coronary syndrome was conducted that included all-cause mortality, cardiac mortality, and composite outcomes for mortality and nonfatal events. The review assessed the strength, consistency, independence, and generalizability of the published studies. A total of 53 individual studies (32 reported on associations with all-cause mortality, 12 on cardiac mortality, and 22 on composite outcomes) and 4 meta-analyses met inclusion criteria. There was heterogeneity across studies in terms of the demographic composition of study samples, definition and measurement of depression, length of follow-up, and covariates included in the multivariable models. Despite limitations in some individual studies, our review identified generally consistent associations between depression and adverse outcomes. CONCLUSIONS: Despite the heterogeneity of published studies included in this review, the preponderance of evidence supports the recommendation that the American Heart Association should elevate depression to the status of a risk factor for adverse medical outcomes in patients with acute coronary syndrome.

Preventable readmissions within 30 days of ischemic stroke among Medicare beneficiaries.

BACKGROUND AND PURPOSE: The Centers for Medicare and Medicaid Services proposes to use 30-day hospital readmissions after ischemic stroke as part of the Hospital Inpatient Quality Reporting Program for payment determination beginning in 2016. The proportion of poststroke readmissions that is potentially preventable is unknown. METHODS: Thirty-day readmissions for all Medicare fee-for-service beneficiaries aged≥65 years discharged alive with a primary diagnosis of ischemic stroke (International Classification of Diseases, Ninth Revision, Clinical Modification 433, 434, 436) between December 2005 and November 2006 were analyzed. Preventable readmissions were identified based on 14 Prevention Quality Indicators developed for use with administrative data by the US Agency for Healthcare Research and Quality. National, hospital-level, and regional preventable readmission rates were estimated. Random-effects logistic regression was also used to determine patient-level factors associated with preventable readmissions. RESULTS: Among 307 887 ischemic stroke discharges, 44 379 (14.4%) were readmitted within 30 days; 5322 (1.7% of all discharges) were the result of a preventable cause (eg, pneumonia), and 39 057 (12.7%) were for other reasons (eg, cancer). In multivariate analysis, older age and cardiovascular-related comorbid conditions were strong predictors of preventable readmissions. Preventable readmission rates were highest in the Southeast, Mid-Atlantic, and US territories and lowest in the Mountain and Pacific regions. CONCLUSIONS: On the basis of Agency for Healthcare Research and Quality Prevention Quality Indicators, we found that a small proportion of readmissions after ischemic stroke were classified as preventable. Although other causes of readmissions not reflected in the Agency for Healthcare Research and Quality measures could also be avoidable, hospital-level programs intended to reduce all-cause readmissions and costs should target high-risk patients.

Prevalence of traditional cardiac risk factors and secondary prevention among patients hospitalized for acute myocardial infarction (AMI): variation by age, sex, and race.

BACKGROUND: Modification of traditional cardiac risk factors is an important goal for patients after an acute myocardial infarction (AMI). Risk factor prevalence and secondary prevention efforts at discharge are well characterized among older patients; however, research is limited for younger and minority AMI populations, particularly among women. METHODS: Among 2369 AMI patients enrolled in a 19-center prospective study, we compared the prevalence and cumulative number of five cardiac risk factors (hypertension, hypercholesterolemia, current smoking, diabetes, obesity) by age, sex, and race. We also compared secondary prevention strategies at discharge for these risk factors, including prescription of antihypertensive or lipid-lowering medications and counseling on preventive behaviors (smoking cessation, diabetes management, diet/weight management). RESULTS: Approximately 93% of patients had ≥1 risk factor, 72% had ≥2 factors, and 40% had ≥3 factors. The prevalence of multiple risk factors was markedly higher for blacks than for whites within each age-sex group; black women had the greatest risk factor burden of any subgroup (60% of older black women and 54% of younger black women had ≥3 risk factors). Secondary prevention efforts for smoking cessation were less common for black compared with white patients, and younger black patients were less often prescribed antihypertensive and lipid-lowering medications compared with younger white patients. CONCLUSIONS: Multiple cardiac risk factors are highly prevalent in AMI patients, particularly among black women. Secondary prevention efforts, however, are less common for blacks compared to whites, especially among younger patients. Our findings highlight the need for improved risk factor modification efforts in these high-risk subgroups.

Seasonal variation in 30-day mortality after stroke: teaching versus nonteaching hospitals.

BACKGROUND AND PURPOSE: A systematic review found an association between the July start of internships and residencies and higher mortality rates for hospitalized patients, but data related to stroke are limited. We assessed seasonal variations in 30-day risk-adjusted mortality rates (RAMRs) after ischemic stroke by hospital teaching status. METHODS: The analysis included all fee-for-service Medicare beneficiaries aged ≥ 65 years with a primary discharge diagnosis of ischemic stroke (International Classification of Diseases, 9th revision, codes 433, 434, and 436) from 1999 to 2006. Hierarchical linear regression models calculated RAMRs, adjusting for patient demographics and comorbidities. Annual data were combined and reconstructed for time series analyses; RAMRs were calculated for each month. Structural models compared monthly seasonal patterns stratified by hospital teaching status. RESULTS: Of 2 824 694 ischemic stroke discharges, 51.7% were from teaching hospitals. There were seasonal patterns within each calendar year, with the highest 30-day RAMR in the winter and the lowest in the summer, but with a smaller peak in July. Thirty-day RAMRs decreased from 1999 to 2006, as did seasonal variations within each calendar year. Seasonal patterns were similar for teaching and nonteaching hospitals. CONCLUSIONS: The 30-day RAMR decreased overall, but seasonal patterns were present, with the highest RAMR in January and a smaller peak in July. Because patterns were similar for teaching and nonteaching hospitals, the July peak cannot be explained by the introduction of new trainees in the beginning of the academic year. The reasons for these seasonal patterns warrant further investigation.

30-Day risk-standardized mortality and readmission rates after ischemic stroke in critical access hospitals.

BACKGROUND AND PURPOSE: The critical access hospital (CAH) designation was established to provide rural residents with local access to emergency and inpatient care. CAHs, however, have poorer short-term outcomes for pneumonia, heart failure, and myocardial infarction compared with other hospitals. We assessed whether 30-day risk-standardized mortality rates (RSMRs) and risk-standardized readmission rates (RSRRs) after ischemic stroke differ between CAHs and non-CAHs. METHODS: The study included all fee-for-service Medicare beneficiaries 65 years of age or older with a primary discharge diagnosis of ischemic stroke (International Classification of Diseases, 9th revision codes 433, 434, 436) in 2006. Hierarchical generalized linear models calculated hospital-level RSMRs and RSRRs, adjusting for patient demographics, medical history, and comorbid conditions. Non-CAHs were categorized by hospital volume quartiles and the RSMR and RSRR posterior probabilities in comparison with CAHs were determined using linear regression with Markov chain Monte Carlo simulation. RESULTS: There were 10 267 ischemic stroke discharges from 1165 CAHs and 300 114 discharges from 3381 non-CAHs. The RSMRs of CAHs were higher than non-CAHs (11.9%± 1.4% vs 10.9%± 1.7%; P<0.001), but the RSRRs were comparable (13.7%± 0.6% vs 13.7%± 1.4%; P=0.3). The RSMRs for the 2 higher volume quartiles of non-CAHs were lower than CAHs (posterior probability of RSMRs higher than CAHs=0.007 for quartile 3; P<0.001 for quartile 4), but there were no differences for lower volume hospitals; RSRRs did not vary by annual hospital volume. CONCLUSIONS: CAHs had higher RSMRs compared with non-CAHs, but readmission rates were similar. The observed differences may be partly explained by patient characteristics and annual hospital volume.

Changes in social support within the early recovery period and outcomes after acute myocardial infarction.

OBJECTIVE: To examine changes in social support during early recovery after acute myocardial infarction (AMI) and determine whether these changes influence outcomes within the first year. METHODS: Among 1951 AMI patients enrolled in a 19-center prospective study, we examined changes in social support between baseline (index hospitalization) and 1 month post-AMI to longitudinally assess their association with health status and depressive symptoms within the first year. We further examined whether 1-month support predicted outcomes independent of baseline support. Hierarchical repeated-measures regression evaluated associations, adjusting for site, baseline outcome level, baseline depressive symptoms, sociodemographic characteristics, and clinical factors. RESULTS: During the first month of recovery, 5.6% of patients had persistently low support, 6.4% had worsened support, 8.1% had improved support, and 80.0% had persistently high support. In risk-adjusted analyses, patients with worsened support (vs. persistently high) had greater risk of angina (relative risk=1.46), lower disease-specific quality of life (ß=7.44), lower general mental functioning (ß=4.82), and more depressive symptoms (ß=1.94) (all p≤.01). Conversely, patients with improved support (vs. persistently low) had better outcomes, including higher disease-specific quality of life (ß=6.78), higher general mental functioning (ß=4.09), and fewer depressive symptoms (ß=1.48) (all p≤.002). In separate analyses, low support at 1 month was significantly associated with poorer outcomes, independent of baseline support level (all p≤.002). CONCLUSION: Changes in social support during early AMI recovery were not uncommon and were important for predicting outcomes. Intervening on low support during early recovery may provide a means of improving outcomes.

Adherence to risk factor management instructions after acute myocardial infarction: the role of emotional support and depressive symptoms.

BACKGROUND: Emotional support and depression may influence adherence to risk factor management instructions after acute myocardial infarction (AMI), but their role requires further investigation. PURPOSE: To examine the longitudinal association between perceived emotional support and risk factor management adherence and assess depressive symptoms as a moderator of this association. METHODS: Among 2,202 AMI patients, we assessed adherence to risk factor management instructions over the first recovery year. Modified Poisson mixed-effects regression evaluated associations, with adjustment for demographic and clinical factors. RESULTS: Patients with low baseline support had greater risk of poor adherence over the first year than patients with high baseline support (relative risk [RR] = 1.20, 95% confidence interval [CI] = 1.02-1.43). In stratified analyses, low support remained a significant predictor of poor adherence for non-depressed (RR = 1.41, 95% CI = 1.23-1.61) but not depressed (RR = 1.01, 95% CI = 0.78-1.30) patients (p for interaction < 0.001). CONCLUSIONS: Low emotional support is associated with poor risk factor management adherence after AMI. This relationship is moderated by depression, with a significant relationship observed only among non-depressed patients.

30-day mortality and readmission after hemorrhagic stroke among Medicare beneficiaries in Joint Commission primary stroke center-certified and noncertified hospitals.

BACKGROUND AND PURPOSE: Ischemic stroke patients treated at Joint Commission Primary Stroke Center (JC-PSC)-certified hospitals have better outcomes. Data reflecting the impact of JC-PSC status on outcomes after hemorrhagic stroke are limited. We determined whether 30-day mortality and readmission rates after hemorrhagic stroke differed for patients treated at JC-PSC-certified versus noncertified hospitals. METHODS: The study included all fee-for-service Medicare beneficiaries aged 65 years or older with a primary discharge diagnosis of subarachnoid hemorrhage (SAH) or intracerebral hemorrhage (ICH) in 2006. Covariate-adjusted logistic and Cox proportional hazards regression assessed the effect of care at a JC-PSC-certified hospital on 30-day mortality and readmission. RESULTS: There were 2305 SAH and 8708 ICH discharges from JC-PSC-certified hospitals and 3892 SAH and 22 564 ICH discharges from noncertified hospitals. Unadjusted in-hospital mortality (SAH: 27.5% versus 33.2%, P<0.0001; ICH: 27.9% versus 29.6%, P=0.003) and 30-day mortality (SAH: 35.1% versus 44.0%, P<0.0001; ICH: 39.8% versus 42.4%, P<0.0001) were lower in JC-PSC hospitals, but 30-day readmission rates were similar (SAH: 17.0% versus 17.0%, P=0.97; ICH: 16.0% versus 15.5%, P=0.29). Risk-adjusted 30-day mortality was 34% lower (odds ratio, 0.66; 95% confidence interval, 0.58-0.76) after SAH and 14% lower (odds ratio, 0.86; 95% confidence interval, 0.80-0.92) after ICH for patients discharged from JC-PSC-certified hospitals. There was no difference in 30-day risk-adjusted readmission rates for SAH or ICH based on JC-PSC status. CONCLUSIONS: Patients treated at JC-PSC-certified hospitals had lower risk-adjusted mortality rates for both SAH and ICH but similar 30-day readmission rates as compared with noncertified hospitals.

Predictors of hospital readmission after stroke: a systematic review.

BACKGROUND AND PURPOSE: Risk-standardized hospital readmission rates are used as publicly reported measures reflecting quality of care. Valid risk-standardized models adjust for differences in patient-level factors across hospitals. We conducted a systematic review of peer-reviewed literature to identify models that compare hospital-level poststroke readmission rates, evaluate patient-level risk scores predicting readmission, or describe patient and process-of-care predictors of readmission after stroke. METHODS: Relevant studies in English published from January 1989 to July 2010 were identified using MEDLINE, PubMed, Scopus, PsycINFO, and all Ovid Evidence-Based Medicine Reviews. Authors of eligible publications reported readmission within 1 year after stroke hospitalization and identified ≥ 1 predictors of readmission in risk-adjusted statistical models. Publications were excluded if they lacked primary data or quantitative outcomes, reported only composite outcomes, or had < 100 patients. RESULTS: Of 374 identified publications, 16 met the inclusion criteria for this review. No model was specifically designed to compare risk-adjusted readmission rates at the hospital level or calculate scores predicting a patient's risk of readmission. The studies providing multivariable models of patient-level and/or process-of-care factors associated with readmission varied in stroke definitions, data sources, outcomes (all-cause and/or stroke-related readmission), durations of follow-up, and model covariates. Few characteristics were consistently associated with readmission. CONCLUSIONS: This review identified no risk-standardized models for comparing hospital readmission performance or predicting readmission risk after stroke. Patient-level and system-level factors associated with readmission were inconsistent across studies. The current literature provides little guidance for the development of risk-standardized models suitable for the public reporting of hospital-level stroke readmission performance.

The role of social support in health status and depressive symptoms after acute myocardial infarction: evidence for a stronger relationship among women.

BACKGROUND: Prior studies have associated low social support (SS) with increased rehospitalization and mortality after acute myocardial infarction. However, relatively little is known about whether similar patterns exist for other outcomes, such as health status and depressive symptoms, and whether these patterns vary by sex. METHODS AND RESULTS: Using data from 2411 English- or Spanish-speaking patients with acute myocardial infarction enrolled in a 19-center prospective study, we examined the association of SS (low, moderate, high) with health status (angina, disease-specific quality of life, general physical and mental functioning) and depressive symptoms over the first year of recovery. Overall and sex-stratified associations were evaluated using mixed-effects Poisson and linear regression, adjusting for site, baseline health status, baseline depressive symptoms, and demographic and clinical factors. Patients with the lowest SS (relative to those with the highest) had increased risk of angina (relative risk, 1.27; 95% confidence interval [CI], 1.10, 1.48); lower disease-specific quality of life (mean difference [beta]=-3.33; 95% CI, -5.25, -1.41), lower mental functioning (beta=-1.72; 95% CI, -2.65, -0.79), and more depressive symptoms (beta=0.94; 95% CI, 0.51, 1.38). A nonsignificant trend toward lower physical functioning (beta=-0.87; 95% CI, -1.95, 0.20) was observed. In sex-stratified analyses, the relationship between SS and outcomes was stronger for women than for men, with a significant SS-by-sex interaction for disease-specific quality of life, physical functioning, and depressive symptoms (all P<0.02). CONCLUSIONS: Lower SS is associated with worse health status and more depressive symptoms over the first year of acute myocardial infarction recovery, particularly for women.