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There is a growing appreciation of the benefits of using administrative data to conduct health research [1-3].
We examine how these reviews affect beneficiary well-being by using administrative data to track the earnings of beneficiaries for up to 5 years after their reviews.
This article presents methods for using administrative data to study multimorbidity in hospitalized individuals and indicates how the findings can be used to gain a deeper understanding of hospital multimorbidity.
The reliability of using administrative data to differentiate Alzheimer's disease, vascular dementia or mixed dementia is questionable.
Using administrative data to measure nursing-sensitive outcomes has both advantages and limitations.
Selection bias is another potential limitation when using administrative data to identify patients with skin or soft-tissue infections.
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Postoperative hemorrhage or hematoma (PHH), an Agency for Healthcare Research and Quality Patient Safety Indicator, uses administrative data to detect cases of potentially preventable postsurgical bleeding requiring a reparative procedure.
Conclusion: This article presents methods that use administrative data to isolate and monitor the impact of nonclinical factors on the use of elective primary cesarean.
The Agency for Healthcare Research and Quality Patient Safety Indicator postoperative respiratory failure (PRF) uses administrative data to screen for potentially preventable respiratory failure after elective surgery based on a respiratory failure diagnosis or an intubation or ventilation procedure code.
The research team also uses administrative data to construct a comparison group of offenders that are similar to the CM group (on basic demographic characteristics) at each site to assess the degree to which the CM protocol influences offender outcomes.
Thomsen and Walter (2010) used administrative data to analyse people who entered welfare in 2006 and estimated effects of the first One-Euro-Job that they entered for six up to 12 months after programme start.
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