Relationship between hospital performance measures and outcomes in patients with acute ischaemic stroke: a prospective cohort study.

Abstract

OBJECTIVE:Evidence-based performance measures have been increasingly used to evaluate hospital quality of stroke care, but their impact on stroke outcomes has not been verified. We aimed to evaluate the correlations between hospital performance measures and outcomes among patients with acute ischaemic stroke in a Chinese population. METHODS:Data were derived from a prospective cohort, which included 120 hospitals participating in the China National Stroke Registry between September 2007 and August 2008. Adherence to nine evidence-based performance measures was examined, and the composite score of hospital performance measures was calculated. The primary stroke outcomes were hospital-level, 30-day and 1-year risk-standardised mortality (RSM). Associations of individual performance measures and composite score with stroke outcomes were assessed using Spearman correlation coefficients. RESULTS:One hundred and twenty hospitals that recruited 12 027 patients with ischaemic stroke were included in our analysis. Among 12 027 patients, 61.59% were men, and the median age was 67 years. The overall composite score of performance measures was 63.3%. The correlation coefficients between individual performance measures ranged widely from 0.01 to 0.66. No association was observed between the composite score and 30-day RSM. The composite score was modestly associated with 1-year RSM (Spearman correlation coefficient, 0.34; p<0.05). The composite score explained only 2.53% and 10.18% of hospital-level variation in 30-day and 1-year RSM for patients with acute stroke. CONCLUSIONS:Adherence to evidence-based performance measures for acute ischaemic stroke was suboptimal in China. There were various correlations among hospital individual performance measures. The hospital performance measures had no correlations with 30-day RSM rate and modest correlations with 1-year RSM rate.

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Citation

Published Version (Please cite this version)

10.1136/bmjopen-2017-020467

Publication Info

Zhang, Xinmiao, Zixiao Li, Xingquan Zhao, Ying Xian, Liping Liu, Chunxue Wang, Chunjuan Wang, Hao Li, et al. (2018). Relationship between hospital performance measures and outcomes in patients with acute ischaemic stroke: a prospective cohort study. BMJ open, 8(7). p. e020467. 10.1136/bmjopen-2017-020467 Retrieved from https://hdl.handle.net/10161/21638.

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Scholars@Duke

Ying Xian

Adjunct Associate Professor in the Department of Neurology
Bettger

Janet Prvu Bettger

Adjunct Associate in the Department of Orthopaedic Surgery

Dr. Bettger’s research is dedicated to establishing real world evidence aimed to improve health care quality and policies that reduce the burden of disease and disability. As a health services researcher and implementation scientist, her research extends from observational studies to randomized and pragmatic trials. She was the Founding Director of Duke Roybal Center for Translational Research in the Behavioral and Social Sciences of Aging and the Founding Director of Undergraduate Initiatives for the Duke-Margolis Center for Health Policy. She has examined implementation of several integrated care models to improve the transition home from the hospital (VERITAS with virtual exercise therapy after knee replacement, COMPASS for stroke, RECOVER for stroke in rural China, and coordinated care for trauma patients in Tanzania). She also studies implementation of community-based models of care that can prevent functional decline. These include the CTSA-funded IMPAC RCT of integrating physical therapists into primary care as first line providers to address musculoskeletal pain, the VA-funded Gerofit program of structured and progressive in-person and virtual group exercise for older Veterans, MRC-funded SINEMA RCT of a village-based model supporting stroke recovery in China, and a NIDCD study comparing three primary care protocols for older adult hearing healthcare.

In addition to the evidence translation studies in China (RECOVER and SINEMA) and Tanzania, she has partnered with experts in Singapore on stroke systems research, and worked on large cluster randomized trials to improve evidence-based care in Brazil, Peru, Argentina (BRIDGE-Stroke) and China (CNSR and Golden Bridge). To address health locally, she was the faculty sponsor to launch Exercise is Medicine at Duke and Help Desk, a student volunteer community resource navigator model addressing social determinants of health.

Dr. Bettger received her BA from the University of Western Ontario, Canada and her MS from the University of Wisconsin–LaCrosse where she studied community reintegration for stroke and brain-injured patients transitioning from hospital to home. Her doctoral training in Rehabilitation Sciences, completed at Boston University, concluded with an investigation of patterns of functional recovery and factors affecting outcomes in patients transitioning home following acute rehabilitation. While working on her doctorate, she also worked in state government as the director of the Paul Coverdell National Acute Stroke Registry. Dr. Bettger completed post-doctoral training at the University of Pennsylvania with a NIH NRSA research fellowship in neurorehabilitation, a research fellowship at the NewCourtland Center for Transitions and Health, and a Switzer Fellowship funded by the National Institute on Disability and Rehabilitation Research to study the role of the environment on functional outcomes. She completed additional research training at Duke as a mentored scholar in comparative effectiveness research funded by AHRQ. As of July 2022, she is an Adjunct Associate Professor for Duke's Department of Orthopaedics and has transitioned out of her role as Co-Director of the Duke Clinical and Translational Institute (CTSA) Pilots Accelerator Core working with NCCU. She is affiliate faculty with Duke's Science and Society, Duke-Margolis Center for Health Policy, the Duke Clinical Research Institute (DCRI) and Duke Global Health Institute (DGHI), is a Senior Fellow of the Duke Center for the Study of Aging and Human Development, and is a Fellow of the American Heart Association. 

Yang

Qing Yang

Associate Research Professor in the School of Nursing

Dr. Qing Yang is Associate Professor and Biostatistician at Duke School of Nursing. She received her PhD in Biostatistics from University of California, Los Angeles. Dr. Yang’s statistical expertise is longitudinal data analysis and time-to-event data analysis. As a biostatistician, she has extensive experience collaborating with researchers in different therapeutic areas, including diabetes, cancer, cardiovascular disease and mental health. Her current research interests are advanced latent variable models that are widely used in symptom cluster research and intensive longitudinal data analysis that arise from mobile health research.


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