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This work, including the mapping of the patients' residence and the use of hospital data, was approved by the relevant institutional ethical review boards including Patan Hospital, The Nepal Health Research Council and Oxford Tropical Research Ethics Committee OXTRECCouncil and Oxford Tropical Research Ethics Committee OXTREC
This study demonstrates two strengths for the use of hospital data to identify AMI events.
It is also important to note that we could only ascertain medication usage from GP datasets, therefore this estimate is undervalued without the use of hospital data.
Our study shows that the use of hospital data for identifying incident pregnancy-associated cancers achieved only moderate levels of validity.
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The objective of this study is to estimate the prevalence of people previously hospitalized with an acute myocardial infarction (AMI) using 17 years of hospital data and to create a registry of people with myocardial infarction.
We used 17 years of hospital data, but prevalence estimates would be almost as reliable if fewer years of hospital data were used (e.g. 5 to 10 years).
To begin to characterize clinical osteoporosis in this population, we performed a retrospective cross-sectional survey of osteoporosis, including demographic and social information, musculoskeletal symptoms, medical complications, history of bone fracture, and disease course and lifestyle factors in female subjects using 10 years of hospital data.
Limitations were encountered when data on driving impairing medicines were compared between countries (e.g. variation in the data sources and providers, population coverage, inclusion of hospital data, use of divergent ATC/DDD versions) and, therefore, a cross-national comparison could not be performed.
Estimating myocardial infarction prevalence using a limited number of years of hospital data is feasible, and validity increases when unobserved events are added to observed events.
Prior studies describing mortality after sepsis have important limitations, including the lack of data describing health prior to the sepsis event, the use of hospital administrative data or data from single institutions or the focus on patients in intensive care units.
False negatives are a well-known limitation of the use of routine hospital data for patient safety research [ 35].
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