ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2013
Meeting the ambition of measuring the quality of hospitals' stroke care using routinely collected administrative data: a feasibility study.
Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Morbidity and mortality risks associated with valproate withdrawal in young adults with epilepsy.Brain : a journal of neurology · 2024Article
- Variation in coded frailty syndromes in secondary care administrative data: an international retrospective exploratory study.BMJ open · 2022Article
- Improving stroke care in Nova Scotia, Canada: a population-based project spanning 14 years.BMJ open quality · 2021Article
- Home-Time as a Surrogate Measure for Functional Outcome After Stroke: A Validation Study.Clinical epidemiology · 2020Article
- Article
- Patient healthcare trajectory. An essential monitoring tool: a systematic review.Health information science and systems · 2017Review
- Biases in detection of apparent "weekend effect" on outcome with administrative coding data: population based study of stroke.BMJ (Clinical research ed.) · 2016Review
- Systematic Review of Hospital Readmissions in Stroke Patients.Stroke research and treatment · 2016Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo examine the potential for using routinely collected administrative data to compare the quality and safety of stroke care at a hospital level, including evaluating any bias due to variations in coding practice.
designA retrospective cohort study of English hospitals' performance against six process and outcome indicators covering the acute care pathway. We used logistic regression to adjust the outcome measures for case mix.
settingHospitals in England.
participantsStroke patients (ICD-10 I60-I64) admitted to English National Health Service public acute hospitals between April 2009 and March 2010, accounting for 91 936 admissions.
main outcome measureThe quality and safety were measured using six indicators spanning the hospital care pathway, from timely access to brain scans to emergency readmissions following discharge after stroke.
resultsThere were 182 occurrences of hospitals performing statistically differently from the national average at the 99.8% significance level across the six indicators. Differences in coding practice appeared to only partially explain the variation.
conclusionsHospital administrative data provide a practical and achievable method for evaluating aspects of stroke care across the acute pathway. However, without improvements in coding and further validation, it is unclear whether the cause of the variation is the quality of care or the result of different local care pathways and data coding accuracy.
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