2011
DOI: 10.1002/jhm.1901
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Inappropriate prescribing of proton pump inhibitors in hospitalized patients

Abstract: BACKGROUND: Proton pump inhibitors have numerous important side effects, yet they are prescribed for outpatients who do not have recognized indications. Less is known with respect to prescribing for inpatients. OBJECTIVE: To determine the rate of inappropriate prescribing of protein pump inhibitors and to assess reasons why they are prescribed.

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Cited by 53 publications
(56 citation statements)
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References 31 publications
(42 reference statements)
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“…In one study, 59% of general medical patients on PPI did not have a clear indication for use 52 . These numbers are similar amongst critically ill patients, with Farrell and colleagues citing 68.1% of patients on gastric acid suppression for stress ulcer prophylaxis did not have identifiable risk factors for stress related mucosal bleeding 53 .…”
Section: Discussionmentioning
confidence: 99%
“…In one study, 59% of general medical patients on PPI did not have a clear indication for use 52 . These numbers are similar amongst critically ill patients, with Farrell and colleagues citing 68.1% of patients on gastric acid suppression for stress ulcer prophylaxis did not have identifiable risk factors for stress related mucosal bleeding 53 .…”
Section: Discussionmentioning
confidence: 99%
“… Developed from guidelines of American College of Gastroenterology, American Society for Gastrointestinal Endoscopy and prior studies 4,6 NSAID = Nonsteroidal anti-inflammatory drugs. GERD= Gastroesophageal reflux disease.…”
Section: Figurementioning
confidence: 99%
“…Participating hospitals are drawn from all regions of the United States, with greater representation from urban and southern hospitals. PDW has been used extensively for research purposes 5, 6, 7, 8, 9. Because the data are proprietary, we are not able to make the data set or study materials available to other researchers.…”
Section: Methodsmentioning
confidence: 99%
“…A recent innovation that will facilitate severity adjustment in claims data is the development of multihospital databases (eg, Premier, University HealthSystem Consortium) that standardize highly detailed billing data across hospitals, providing time‐ or date‐stamped information about all tests and services provided to individual patients 5, 6, 7, 8, 9. Using one of these data sets, we sought to develop and validate a model that could be used to compare hospitals' performance in the care of HF patients.…”
Section: Introductionmentioning
confidence: 99%