Literature DB >> 28637036

Differentiating Incident from Recurrent Stroke Using Administrative Data: The Impact of Varying Lengths of Look-Back Periods on the Risk of Misclassification.

John Mark Worthington1, Melina Gattellari, Chris Goumas, Bin Jalaludin.   

Abstract

BACKGROUND/AIMS: Administrative data are widely used to monitor epidemiological trends in stroke and outcomes; yet there is scant empirical guidance on how to best differentiate incident from recurrent stroke.
METHODS: We identified all hospital admissions in New South Wales, Australia, with a principal stroke diagnosis from July 1, 2013 to June 30, 2014, linked to 12 years of previous admissions. We calculated the proportion of cases identified with a prior stroke to determine the number of years of look-back required to minimise misclassification of incident and recurrent strokes.
RESULTS: Using the maximum available look-back period of 12 years, 1,171 out of 8,364 eligible stroke cases (14.0%) had a stroke history. A 1-year look-back period identified only 25.1% of these patients and 1 in 10 stroke cases were misclassified as incident. With a 10-year clearance period, less than 1 in 100 stroke cases were misclassified as incident. The risk of misclassification was lower in patients younger than 65 years and in those with haemorrhagic stroke.
CONCLUSION: Hospital administrative data sets linked to prior admissions can be used to distinguish recurrent from incident stroke. The risk of misclassifying recurrent stroke cases as incident events is negligible with a look-back period of 10 years.
© 2017 S. Karger AG, Basel.

Entities:  

Keywords:  Administrative data; Epidemiology; Methods; Stroke

Mesh:

Year:  2017        PMID: 28637036     DOI: 10.1159/000478016

Source DB:  PubMed          Journal:  Neuroepidemiology        ISSN: 0251-5350            Impact factor:   3.282


  6 in total

1.  Racial differences in recurrent ischemic stroke risk and recurrent stroke case fatality.

Authors:  Karen C Albright; Lei Huang; Justin Blackburn; George Howard; Michael Mullen; Vera Bittner; Paul Muntner; Virginia Howard
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2.  The impact of disease severity adjustment on hospital standardised mortality ratios: Results from a service-wide analysis of ischaemic stroke admissions using linked pre-hospital, admissions and mortality data.

Authors:  Melina Gattellari; Chris Goumas; Bin Jalaludin; John Worthington
Journal:  PLoS One       Date:  2019-05-21       Impact factor: 3.240

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4.  A nationwide registry study on heart failure in Norway from 2008 to 2018: variations in lookback period affect incidence estimates.

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5.  Oral anticoagulant decreases stroke recurrence in patients with atrial fibrillation detected after stroke.

Authors:  Jin-Yi Hsu; Peter Pin-Sung Liu; Luciano A Sposato; Huei-Kai Huang; An-Bang Liu; Edward Chia-Cheng Lai; Swu-Jane Lin; Cheng-Yang Hsieh; Ching-Hui Loh
Journal:  Front Cardiovasc Med       Date:  2022-07-22

6.  The effects of different lookback periods on the sociodemographic structure of the study population and on the estimation of incidence rates: analyses with German claims data.

Authors:  Jelena Epping; Siegfried Geyer; Juliane Tetzlaff
Journal:  BMC Med Res Methodol       Date:  2020-09-11       Impact factor: 4.615

  6 in total

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