Real-world analysis of two ischaemic stroke and TIA systolic blood pressure goals on 12-month mortality and recurrent vascular events.

INTRODUCTION: Whether obtaining the more intensive goal systolic blood pressure (SBP) of <130 mm Hg, rather than a less intensive SBP goal of <140 mm Hg poststroke/transient ischaemic attack (TIA) is associated with incremental mortality and recurrent vascular event benefit is largely unexplored using real-world data. Lowering SBP excessively may result in poorer outcomes. METHODS: This is a retrospective cohort study of 26 368 Veterans presenting to a Veterans Administration Medical Center (VAMC) with a stroke/TIA between October 2015 and July 2018. Patients were excluded from the study if they had missing or extreme BP values, receiving dialysis or palliative care, left against medical advice had a cancer diagnosis, were cared for in a VAMC enrolled in a stroke/TIA quality improvement initiative, died or had a cerebrovascular or cardiovascular event within 90 days after their index stroke/TIA. The analytical sample included 12 337 patients. Average SBP during 90 days after discharge was assessed in categories (≤105 mm Hg, 106-115 mm Hg, 116-130 mm Hg, 131-140 mm Hg and >140 mm Hg). Separate multivariable Cox proportional hazard regressions were used to examine the relationship between average SBP groups and time to: (1) mortality and (2) any recurrent vascular event, from 90 days to up to 365 days after discharge from the index emergency department visit or inpatient admission. RESULTS: Compared with those with SBP>140 mm Hg, patients with SBP between 116 and 130 mm Hg had a significantly lower risk of recurrent stroke/TIA (HR 0.77, 95% CI 0.60 to 0.99) but not cardiovascular events. Patients with SBP lower than 105 mm Hg, compared with those with >140 mm Hg demonstrated a statistically significant higher risk of death (HR 2.07, 95% CI 1.43 to 3.00), but no statistical differences were found in other SBP groups. DISCUSSION: Data support a more intensive SBP goal to prevent recurrent cerebrovascular events among stroke/TIA patients by 90 days poststroke/TIA compared with less intensive goal. Very low SBPs were associated with increased mortality risk.

Structural equation model of coping and life satisfaction of community-dwelling older people during the COVID-19 pandemic.

BACKGROUND: COVID-19 put older individuals at high risk for morbidity and mortality, isolation, reduced coping, and lower satisfaction with life. Many older adults experienced social isolation, fear, and anxiety. We hypothesized that successful coping with these stressors would maintain or improve satisfaction with life, a crucial psychological outcome during the pandemic. Our study investigated relationships between older people's coping and life satisfaction during the pandemic and their optimism, sense of mastery, closeness with spouse, family, and friends, and vulnerabilities from frailty, comorbid diseases, memory problems, and dependencies in instrumental activities of daily living (IADL). METHODS: The study was based on a special COVID-19 sample of 1351 community-dwelling older adults who participated in the 2020 Health and Retirement Survey. A comprehensive structural equation modeling was used to test direct and indirect effects, with life satisfaction as the main outcome and coping as a mediator between the other variables and coping. RESULTS: Most survey respondents were female and between the ages of 65-74 years. They averaged 1.7 chronic conditions, one in seven was frail, about one-third rated their memory as fair or poor, and about one in seven reported one or more difficulties in IADL. As hypothesized-older people with increased sense of mastery and optimism were better able to cope and had greater life satisfaction. In addition, close relationships with friends and with other family members besides the spouse/partner or children contributed to more successful coping, while the interpersonal closeness of all types contributed directly to greater life satisfaction. Finally, older people with more IADL limitations reported greater difficulty coping and lower life satisfaction, and those older people who were frail or had multiple comorbid diseases reported lower life satisfaction. CONCLUSIONS: Optimism, sense of mastery and closeness with family/friends promotes coping and life satisfaction, whereas frailty and comorbidities make coping more challenging and lead to lower life satisfaction particularly during a pandemic. Our study improves on prior research because of its nationally representative sample and formal specification and testing of a comprehensive theoretical framework.

The impact of the COVID-19 pandemic on blood pressure control after a stroke or transient ischemic attack among patients at VA medical centers.

OBJECTIVE: To study factors associated with systolic blood pressure(SBP) control for patients post-discharge from an ischemic stroke or transient ischemic attack(TIA) during the early months of the COVID-19 pandemic compared to pre-pandemic periods within the Veterans Health Administration(VHA). MATERIALS AND METHODS: We analyzed retrospective data from patients discharged from Emergency Departments or inpatient admissions after an ischemic stroke or TIA. Cohorts consisted of 2,816 patients during March-September 2020 and 11,900 during the same months in 2017-2019. Outcomes included primary care or neurology clinic visits, recorded blood pressure readings and average blood pressure control in the 90-days post-discharge. Random effect logit models were used to compare clinical characteristics of the cohorts and relationships between patient characteristics and outcomes. RESULTS: The majority (73%) of patients with recorded readings during the COVID-19 period had a mean post-discharge SBP within goal (<140 mmHg); this was slightly lower than the pre-COVID-19 period (78%; p=0.001). Only 38% of the COVID-19 cohort had a recorded SBP in the 90-days post-discharge compared with 83% of patients during the pre-pandemic period (p=0.001). During the pandemic period, 29% did not have follow-up primary care or neurologist visits, and 33% had a phone or video visit without a recorded SBP reading. CONCLUSIONS: Patients with an acute cerebrovascular event during the initial COVID-19 period were less likely to have outpatient visits or blood pressure measurements than during the pre-pandemic period; patients with uncontrolled SBP should be targeted for follow-up hypertension management.

Are Frail Older People from Racial/Ethnic Minorities at Double Jeopardy of Putting off Healthcare during the Pandemic?

Given the differential impacts of COVID-19 on racial and ethnic groups, it is unclear how racial/ethnic status and frailty combine to influence pandemic-related healthcare disruptions. This study aimed to test the double jeopardy hypothesis: racial/ethnic minority older adults suffer a double disadvantage in access to health care during the pandemic due to the interactive effects of frailty and race. This study uses the linked National Health and Aging Trends Study (NHATS) and COVID-19 public use data files. A multivariate logistic regression model was performed. Overall, approximately two out of five (41%) older adults reported postponing care due to the pandemic. The likelihood of putting off care increased slightly by frailty status. We found no significant difference between Whites and non-Whites in putting off care. However, the simple comparison masked significant variation across frailty status. Robust non-White older people were less likely to put off care than robust Whites (robust non-Whites: 29% vs. robust Whites: 39%); in contrast, frail non-White older people were more likely to put off care (frail non-Whites: 55% vs. frail Whites: 42%). Being frail and non-White creates double jeopardy, which has a negative impact on access to healthcare. Timely access to care is essential for frail older people, particularly non-Whites, because of their complex health conditions accentuated by health and social disparities.

Approach to systematically examine the usefulness of quality measures in practice: Minnesota's nursing home quality indicators and scoring approach.

BACKGROUND: Healthcare quality measurement systems, which use aggregated patient-level quality measures to assess organisational performance, have been introduced widely. Yet, their usefulness in practice has received scant attention. Using Minnesota nursing home quality indicators (QIs) as a case example, we demonstrate an approach for systematically evaluating QIs in practice based on: (a) parsimony and relevance, (b) usability in discriminating between facilities, (c) actionability and (d) construct validity. METHODS: We analysed 19 risk-adjusted, facility-level QIs over the 2012-2019 period. Parsimony and relevance of QIs were evaluated using scatter plots, Pearson correlations, literature review and expert opinions. Discrimination between facilities was assessed by examining facility QI distributions and the impact of the distributions on scoring. Actionability of QIs was assessed through QI trends over time. Construct validity was assessed through exploratory factor analysis of domain structure for grouping the QIs. RESULTS: Correlation analysis and qualitative assessment led to redefining one QI, adding one improvement-focused QI, and combining two highly correlated QIs to improve parsimony and clinical relevance. Ten of the QIs displayed normal distributions which discriminated well between the best and worst performers. The other nine QIs displayed poor discrimination; they had skewed distributions with ceiling or floor effects. We recommended scoring approaches tailored to these distributions. One QI displaying substantial improvement over time was recommended for retirement (physical restraint use). Based on factor analysis, we grouped the 18 final QIs into four domains: incontinence (4 QIs), physical functioning (4 QIs), psychosocial care (4 QIs) and care for specific conditions (6 QIs). CONCLUSION: We demonstrated a systematic approach for evaluating QIs in practice by arriving at parsimonious and relevant QIs, tailored scoring to different QI distributions and a meaningful domain structure. This approach could be applied in evaluating quality measures in other health or long-term care settings.

Ownership Change and Care Quality: Lessons From Minnesota's Experience With Value-Based Purchasing.

Background and Objectives: Minnesota's implementation of a new nursing home value-based reimbursement (VBR) system in 2016 presented an opportunity to compare the response of nursing homes (NHs) to financial incentives to improve their quality and efficiency. The state substantially increased reimbursement for care-related costs and tied this rate increase to a composite quality score. Coinciding with rate increases of the new VBR system was an increase in ownership changes, with new owners being primarily for-profit entities from outside of Minnesota, including several private equity firms. Our objective was to examine NHs that underwent a change in ownership to determine their cost and quality response to the change. Research Design and Methods: Our sample consists of 342 Minnesota NHs that submitted Medicaid cost reports each year from 2013 to 2019. A time differential two-way fixed-effects difference-in-difference model is used to assess changes in quality metrics by comparing measures in years prior to and years following the sale for NHs that changed ownership versus NHs with consistent ownership. Nursing home characteristics, revenue, and spending patterns are examined to understand differences in performance. Results: Those NHs with ownership change experienced a decline in quality scores with notable changes to expenditure patterns. They performed worse on Minnesota Department of Health inspection scores and had nonsignificant declines in measures of quality of life and clinical care. They had declining staff dental and medical benefits and occupancy rates, greater revenue growth from Medicare Part B, and larger increases in administrative management fees. Discussion and Implications: Minnesota like many other states has given wide latitude for nursing home ownership changes, without specific oversight for the quality of care and expenditure patterns of new owners. Recommendations include strict guidelines for the transparency of ownership structures, quality performance targets, rigorous financial auditing, and enhanced regulatory oversight.

Blood Pressure Trajectories and Outcomes for Veterans Presenting at VA Medical Centers with a Stroke or Transient Ischemic Attack.

BACKGROUND: Blood pressure control has been shown to reduce risk of vascular events and mortality after an ischemic stroke or transient ischemic attack (TIA). Yet, questions remain about effectiveness, timing, and targeted blood pressure reduction. METHODS: We analyzed data from a retrospective cohort of 18,837 veterans cared for 12 months prior and up to 12 months after an emergency department visit or inpatient admission for stroke or TIA. Latent class growth analysis was used to classify patients into systolic blood pressure trajectories. With Cox proportional hazard models, we examined relationships between blood pressure trajectories, intensification of antihypertensive medication, and stroke (fatal or non-fatal) and all-cause mortality in 12 months following the index event. RESULTS: The cohort was classified into 4 systolic blood pressure trajectories: 19% with a low systolic blood pressure trajectory (mean systolic blood pressure = 116 mm Hg); 65% with a medium systolic blood pressure trajectory (mean systolic blood pressure = 136 mm Hg); 15% with a high systolic blood pressure trajectory (mean systolic blood pressure = 158 mm Hg), and 1% with a very high trajectory (mean systolic blood pressure = 183 mm Hg). After the stroke or TIA, individuals in the high and very high systolic blood pressure trajectories experienced a substantial decrease in systolic blood pressure that coincided with intensification of antihypertensive medication. Patients with very low and very high systolic blood pressure trajectories had a significantly greater (P < .05) hazard of mortality, while medication intensification was related significantly (P < .05) to lower hazard of mortality. CONCLUSIONS: These findings point to the importance of monitoring blood pressure over multiple time points and of instituting enhanced hypertension management after stroke or TIA, particularly for individuals with high or very high blood pressure trajectories.

A Data Driven Approach for Prioritizing COVID-19 Vaccinations in the Midwestern United States.

Considering the potential for widespread adoption of social vulnerability indices (SVI) to prioritize COVID-19 vaccinations, there is a need to carefully assess them, particularly for correspondence with outcomes (such as loss of life) in the context of the COVID-19 pandemic. The University of Illinois at Chicago School of Public Health Public Health GIS team developed a methodology for assessing and deriving vulnerability indices based on the premise that these indices are, in the final analysis, classifiers. Application of this methodology to several Midwestern states with a commonly used SVI indicates that by using only the SVI rankings there is a risk of assigning a high priority to locations with the lowest mortality rates and low priority to locations with the highest mortality rates. Based on the findings, we propose using a two-dimensional approach to rationalize the distribution of vaccinations. This approach has the potential to account for areas with high vulnerability characteristics as well as to incorporate the areas that were hard hit by the pandemic.

Heterogeneity in COVID-19 patient volume, characteristics and outcomes across US Department of Veterans Affairs facilities: an observational cohort study.

OBJECTIVE: Studies describe COVID-19 patient characteristics and outcomes across populations, but reports of variation across healthcare facilities are lacking. The objectives were to examine differences in COVID-19 patient volume and mortality across facilities, and understand whether facility variation in mortality was due primarily to differences in patient versus facility characteristics. DESIGN: Observational cohort study with multilevel mixed effects logistic regression modelling. SETTING: The Veterans Health Administration (VA) is the largest healthcare system in the USA. PARTICIPANTS: Patients with COVID-19. MAIN OUTCOME: All-cause mortality within 45 days after COVID-19 testing (March-May, follow-up through 16 July 2020). RESULTS: Among 13 510 patients with COVID-19, 3942 (29.2%) were admitted (2266/3942 (57.5%) ward; 1676/3942 (42.5%) intensive care unit (ICU)) and 679/3942 (17.2%) received mechanical ventilation. Marked heterogeneity was observed across facilities in median age (range: 34.3-83.9 years; facility mean: 64.7, SD 7.2 years); patient volume (range: 1-737 at 160 facilities; facility median: 48.5, IQR 14-105.5); hospital admissions (range: 1-286 at 133 facilities; facility median: 11, IQR 1-26.5); ICU caseload (range: 1-85 at 115 facilities; facility median: 4, IQR 0-12); and mechanical ventilation (range: 1-53 at 90 facilities; facility median: 1, IQR 0-5). Heterogeneity was also observed in facility mortality for all patients with COVID-19 (range: 0%-29.7%; facility median: 8.9%, IQR 2.4%-13.7%); inpatients (range: 0%-100%; facility median: 18.0%, IQR 5.6%-28.6%); ICU patients (range: 0%-100%; facility median: 28.6%, IQR 14.3%-50.0%); and mechanical ventilator patients (range: 0%-100%; facility median: 52.7%, IQR 33.3%-80.6%). The majority of variation in facility mortality was attributable to differences in patient characteristics (eg, age). CONCLUSIONS: Marked heterogeneity in COVID-19 patient volume, characteristics and mortality were observed across VA facilities nationwide. Differences in patient characteristics accounted for the majority of explained variation in mortality across sites. Variation in unadjusted COVID-19 mortality across facilities or nations should be considered with caution.

Association of Intensive Care Unit Patient Load and Demand With Mortality Rates in US Department of Veterans Affairs Hospitals During the COVID-19 Pandemic.

Importance: Although strain on hospital capacity has been associated with increased mortality in nonpandemic settings, studies are needed to examine the association between coronavirus disease 2019 (COVID-19) critical care capacity and mortality. Objective: To examine whether COVID-19 mortality was associated with COVID-19 intensive care unit (ICU) strain. Design, Setting, and Participants: This cohort study was conducted among veterans with COVID-19, as confirmed by polymerase chain reaction or antigen testing in the laboratory from March through August 2020, cared for at any Department of Veterans Affairs (VA) hospital with 10 or more patients with COVID-19 in the ICU. The follow-up period was through November 2020. Data were analyzed from March to November 2020. Exposures: Receiving treatment for COVID-19 in the ICU during a period of increased COVID-19 ICU load, with load defined as mean number of patients with COVID-19 in the ICU during the patient's hospital stay divided by the number of ICU beds at that facility, or increased COVID-19 ICU demand, with demand defined as mean number of patients with COVID-19 in the ICU during the patient's stay divided by the maximum number of patients with COVID-19 in the ICU. Main Outcomes and Measures: All-cause mortality was recorded through 30 days after discharge from the hospital. Results: Among 8516 patients with COVID-19 admitted to 88 VA hospitals, 8014 (94.1%) were men and mean (SD) age was 67.9 (14.2) years. Mortality varied over time, with 218 of 954 patients (22.9%) dying in March, 399 of 1594 patients (25.0%) dying in April, 143 of 920 patients (15.5%) dying in May, 179 of 1314 patients (13.6%) dying in June, 297 of 2373 patients (12.5%) dying in July, and 174 of 1361 (12.8%) patients dying in August (P < .001). Patients with COVID-19 who were treated in the ICU during periods of increased COVID-19 ICU demand had increased risk of mortality compared with patients treated during periods of low COVID-19 ICU demand (ie, demand of ≤25%); the adjusted hazard ratio for all-cause mortality was 0.99 (95% CI, 0.81-1.22; P = .93) for patients treated when COVID-19 ICU demand was more than 25% to 50%, 1.19 (95% CI, 0.95-1.48; P = .13) when COVID-19 ICU demand was more than 50% to 75%, and 1.94 (95% CI, 1.46-2.59; P < .001) when COVID-19 ICU demand was more than 75% to 100%. No association between COVID-19 ICU demand and mortality was observed for patients with COVID-19 not in the ICU. The association between COVID-19 ICU load and mortality was not consistent over time (ie, early vs late in the pandemic). Conclusions and Relevance: This cohort study found that although facilities augmented ICU capacity during the pandemic, strains on critical care capacity were associated with increased COVID-19 ICU mortality. Tracking COVID-19 ICU demand may be useful to hospital administrators and health officials as they coordinate COVID-19 admissions across hospitals to optimize outcomes for patients with this illness.

Using a Semi-Markov Model to Estimate Medicaid Cost Savings due to Minnesota's Return to Community Initiative.

OBJECTIVES: To provide an estimate and level of uncertainty for Medicaid cost savings due to Minnesota's Return to Community Initiative (RTCI). DESIGN: Medicaid cost savings are estimated using a semi-Markov model and simulation approach. SETTING AND PARTICIPANTS: RTCI is a statewide program that assists private paying nursing home residents with discharge to the community. When originally proposed, it was expected that the program would reduce state Medicaid expenditures, primarily through the shifting of residents from nursing homes to a less costly community setting. In prior analysis, we estimated that approximately 1 in 9 residents targeted for transition by the program would not have returned to the community without the RTCI. Accurate cost savings estimates require consideration of complex resident care trajectories, that is, nursing home readmissions, use of assisted living and community-based services, and mortality. MEASURES: Data were from 30,234 private pay nursing home residents admitted during 2011, primarily for post-acute stays, to 378 facilities in Minnesota, and followed for 4 years postadmission for outcomes and time to event. Resident characteristics were taken from the Minimum Data Set (MDS) admission assessment. We modeled variability in care trajectories with a semi-Markov formulation. Transition probabilities were estimated using Multinomial regression. Time to event was modeled using the best-fitting, positive, right-skewed distribution for each path. The simulation was run (1000 times) with and without the RTCI impact to estimate change in Medicaid days in various settings. RESULTS: Program savings was estimated at $4.1 million per year of effort over a 4-year accumulation period. CONCLUSIONS AND IMPLICATIONS: The RTCI produced a modest Medicaid cost savings in excess of the annual program budget of $3.5 million. Findings from the semi-Markov model and simulation increase our understanding of care transitions between nursing home, community, Medicaid status, and mortality.

Shall I Stay or Shall I Go? The Choice to Remain in the Nursing Home Among Residents With High Potential for Discharge.

Minnesota's Return to Community Initiative (RTCI) assists private-pay nursing home (NH) residents to return to the community. Using data from a 1-year admission cohort of RTCI-targeted NH residents, we examined why residents who at admission expressed a desire for discharge, were paying privately, and had relatively low-care needs chose to remain in the NH. Characteristics of those who remained were compared with those who discharged using logistic regression, and barriers to discharge were summarized. Residents who were older, more cognitively impaired (OR = 1.8), unmarried (OR = 1.4), had behavior problems (OR = 1.6), or diagnosed with dementia (OR = 2.0) were more likely to remain than discharge to the community. Between admission and their 90-day assessment, residents remaining in the facility had a small decline in cognitive status, yet their continence improved and they became more independent in activities of daily living (ADLs). Seventy-four percent reported a perception of health-related barriers to discharge.

Do Residents Participating in Minnesota's Return to Community Initiative Experience Similar Postdischarge Outcomes to Their Peers?

OBJECTIVE: The objective of this study was to evaluate the impact of Minnesota's Return to Community Initiative (RTCI) on postdischarge outcomes for nursing home residents transitioned through the program. DATA SOURCES: Secondary data were from the Minimum Data Set and RTCI staff (January 2015 to December 2016), state Medicaid eligibility files and death records. The sample consisted of 29,201 nursing home discharges in Minnesota occurring in 2015. RESEARCH DESIGN: Cox proportional hazard models were used to compare 1-year postdischarge outcomes of nursing home readmission, mortality, and Medicaid conversion for RTCI assisted community discharges and a propensity-matched sample of unassisted community discharges. RESULTS: The majority (60%) of RTCI assisted discharges remained alive, in the community and not having converted at Medicaid at 1 year after discharge. Time to mortality was significantly lower for the assisted group than the unassisted group, but time to readmission and Medicaid conversion were similar. CONCLUSION: The RTCI assisted residents fared well postdischarge in their time to mortality, nursing home readmission, and Medicaid conversion; they lived longer than a propensity-matched sample of their peers.

A cross-sectional study of self-rated health among older adults: a comparison of China and the United States.

OBJECTIVES: We used nationally representative samples of China and the US older population to investigate (1) whether factors influencing self-rated health among older Chinese were similar to those among older Americans; and (2) whether there was a significant cross-national difference in self-rated health between China and the USA after controlling those available influencing factors. DESIGN: A cross-sectional study. Data came from the 2014 Health and Retirement Study and China Health and Retirement Longitudinal Study conducted from 2014 to 2015. PARTICIPANTS: Our final sample size totaled 8905 older adults in the USA and 4442 older adults in China. OUTCOME: The response variable was self-rated health. Ordered logistic regression models were conducted to investigate factors influencing self-rated health among older adults. RESULTS: More than three-fourths (78%) of older adults in China reported fair or poor health status, while almost 74% of older adults in the USA reported excellent, very good or good health status. In the overall ordered logistic regression model, when controlling statistically for sociodemographics, family structure, functional limitations, cognition, chronic conditions, mental health and health-related behaviours, the Chinese survey respondents were much more likely to rate their health as being poorer than the US respondents. The odds of having better versus poorer health was almost five times greater in American older adults than those in China (OR=4.88, 95% CI 4.06 to 5.86). Older adults in China living alone rated their health better than those living with spouse/partner; however, no significant difference was found between these two living arrangements in older Americans. In contrast, older adults in the USA living with others rated their health worse compared with those living with spouse/partner. In addition, older adults who had more activities of daily living limitations, poorer self-reported memory, worse mental health and chronic health conditions had lower self-rated health in both countries. CONCLUSIONS: We found a striking difference in self-rated health between China and the USA even after controlling for measures of disease, functional status and other influencing factors. Relative to their American counterparts, Chinese elders were much more likely to report worse health.

Processes of Care Associated With Risk of Mortality and Recurrent Stroke Among Patients With Transient Ischemic Attack and Nonsevere Ischemic Stroke.

Importance: Early evaluation and management of patients with transient ischemic attack (TIA) and nonsevere ischemic stroke improves outcomes. Objective: To identify processes of care associated with reduced risk of death or recurrent stroke among patients with TIA or nonsevere ischemic stroke. Design, Setting, and Participants: This cohort study included all patients with TIA or nonsevere ischemic stroke at Department of Veterans Affairs emergency department or inpatient settings from October 2010 to September 2011. Multivariable logistic regression was used to model associations of processes of care and without-fail care, defined as receiving all guideline-concordant processes of care for which patients are eligible, with risk of death and recurrent stroke. Data were analyzed from March 2018 to April 2019. Main Outcomes and Measures: Risk of all-cause mortality and recurrent ischemic stroke at 90 days and 1 year was calculated. Overall, 28 processes of care were examined. Without-fail care was assessed for 6 processes: brain imaging, carotid artery imaging, hypertension medication intensification, high- or moderate-potency statin therapy, antithrombotics, and anticoagulation for atrial fibrillation. Results: Among 8076 patients, the mean (SD) age was 67.8 (11.6) years, 7752 patients (96.0%) were men, 5929 (73.4%) were white, 474 (6.1%) had a recurrent ischemic stroke within 90 days, 793 (10.7%) had a recurrent ischemic stroke within 1 year, 320 (4.0%) died within 90 days, and 814 (10.1%) died within 1 year. Overall, 9 processes were independently associated with lower odds of both 90-day and 1-year mortality after adjustment for multiple comparisons: carotid artery imaging (90-day adjusted odds ratio [aOR], 0.49; 95% CI, 0.38-0.63; 1-year aOR, 0.61; 95% CI, 0.52-0.72), antihypertensive medication class (90-day aOR, 0.58; 95% CI, 0.45-0.74; 1-year aOR, 0.70; 95% CI, 0.60-0.83), lipid measurement (90-day aOR, 0.68; 95% CI, 0.51-0.90; 1-year aOR, 0.64; 95% CI, 0.53-0.78), lipid management (90-day aOR, 0.46; 95% CI, 0.33-0.65; 1-year aOR, 0.67; 95% CI, 0.53-0.85), discharged receiving statin medication (90-day aOR, 0.51; 95% CI, 0.36-0.73; 1-year aOR, 0.70; 95% CI, 0.55-0.88), cholesterol-lowering medication intensification (90-day aOR, 0.47; 95% CI, 0.26-0.83; 1-year aOR, 0.56; 95% CI, 0.41-0.77), antithrombotics by day 2 (90-day aOR, 0.56; 95% CI, 0.40-0.79; 1-year aOR, 0.69; 95% CI, 0.55-0.87) or at discharge (90-day aOR, 0.59; 95% CI, 0.41-0.86; 1-year aOR, 0.69; 95% CI, 0.54-0.88), and neurology consultation (90-day aOR, 0.67; 95% CI, 0.52-0.87; 1-year aOR, 0.74; 95% CI, 0.63-0.87). Anticoagulation for atrial fibrillation was associated with lower odds of 1-year mortality only (aOR, 0.59; 95% CI, 0.40-0.85). No processes were associated with reduced risk of recurrent stroke after adjustment for multiple comparisons. The rate of without-fail care was 15.3%; 1216 patients received all guideline-concordant processes of care for which they were eligible. Without-fail care was associated with a 31.2% lower odds of 1-year mortality (aOR, 0.69; 95% CI, 0.55-0.87) but was not independently associated with stroke risk. Conclusions and Relevance: Patients who received 6 readily available processes of care had lower adjusted mortality 1 year after TIA or nonsevere ischemic stroke. Clinicians caring for patients with TIA and nonsevere ischemic stroke should seek to ensure that patients receive all guideline-concordant processes of care for which they are eligible.

Relationship between nursing home quality indicators and potentially preventable hospitalisation.

BACKGROUND: Hospitalisations are very common among nursing home residents and many of these are deemed inappropriate or preventable. Little is known about whether clinical care quality is related to hospitalisation, especially potentially preventable hospitalisations (PPHs). Among the few studies that have been conducted, the findings have been inconsistent. The objective of this study was to examine the relationship between quality indicators and overall and PPHs among Medicaid beneficiaries aged 65 years and older receiving care at nursing homes in Minnesota. METHODS: 23 risk-adjusted quality indicators were used to assess nursing home quality of care. Quality indicators and other facility-level variables from the Minnesota Nursing Home Report Card were merged with resident-level variables from the Minimum Data Set. These merged data were linked with Medicaid claims to obtain hospitalisation rates during the 2011-2012 period. The sample consisted of a cohort of 20 518 Medicaid beneficiaries aged 65 years and older who resided in 345 Minnesota nursing homes. The analyses controlled for resident and facility characteristics using the generalised linear mixed model. RESULTS: The results showed that about 44 % of hospitalisations were PPHs. Available quality indicators were not strongly or consistently associated with the risk of hospitalisation (neither overall nor PPH). Among these 23 quality indicators, five quality indicators (antipsychotics without a diagnosis of psychosis, unexplained weight loss, pressures sores, bladder continence and activities of daily living [ADL] dependence) were related significantly to hospitalisation and only four quality indicators (antipsychotics without a diagnosis of psychosis, unexplained weight loss, ADL dependence and urinary tract infections) were related to PPH. CONCLUSION: Although general quality indicators can be informative about overall nursing home performance, only selected quality indicators appear to tap dimensions of clinical quality directly related to hospitalisations.

Assessing the impact of Minnesota's return to community initiative for newly admitted nursing home residents.

OBJECTIVE: To evaluate Minnesota's Return to Community Initiative's (RTCI) impact on community discharges from nursing homes. DATA SOURCES: Secondary data were from the Minimum Data Set and RTCI staff (April 2014 - December 2016). The sample consisted of 18 444 non-Medicaid nursing home admissions in Minnesota remaining for at least 45 days, with high predicted probability of community discharge. STUDY DESIGN: The RTCI facilitates community discharge for non-Medicaid nursing home residents by assisting with discharge planning, transitioning to the community, and postdischarge follow-up. A key evaluation question is how many of those transitions were directly attributable to the program. Return to Community Initiative was implemented statewide without a control group. Program impact was measured using regression discontinuity, a quasi-experimental design approach that leverages the programs targeting model. PRINCIPAL FINDINGS: Return to Community Initiative increased community discharge rates by an estimated 11 percent (P < 0.05) for the targeted population. The program effect was robust to time and increased with level of facility participation in RTCI. CONCLUSIONS: The RTCI had a modest yet significant impact on the community discharge rates for its targeted population. Findings have been applied in strengthening the RTCI's targeting approach and transitioning process.