2014
DOI: 10.1136/bmjopen-2013-004773
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Unexpectedly long hospital stays as an indicator of risk of unsafe care: an exploratory study

Abstract: ObjectivesWe developed an outcome indicator based on the finding that complications often prolong the patient's hospital stay. A higher percentage of patients with an unexpectedly long length of stay (UL-LOS) compared to the national average may indicate shortcomings in patient safety. We explored the utility of the UL-LOS indicator.SettingWe used data of 61 Dutch hospitals. In total these hospitals had 1 400 000 clinical discharges in 2011.ParticipantsThe indicator is based on the percentage of patients with … Show more

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Cited by 13 publications
(15 citation statements)
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“…Previous research defined UL-LOS as the percentage of clinically admitted patients with an actual hospital stay that was more than 50% longer than expected 2. The expected LOS was estimated by indirect standardisation based on age, main diagnosis and main procedure 2…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous research defined UL-LOS as the percentage of clinically admitted patients with an actual hospital stay that was more than 50% longer than expected 2. The expected LOS was estimated by indirect standardisation based on age, main diagnosis and main procedure 2…”
Section: Methodsmentioning
confidence: 99%
“…Length of stay (LOS) is such a screening tool, as research has shown that hospital adverse events often result in a longer LOS 2 8–14. In the Netherlands, an unexpectedly long LOS (UL-LOS) indicator has been introduced to identify potential shortcomings in the quality and safety of care 2 15. All hospitals receive their outcomes in detail and the Dutch Health and Youth Care Inspectorate uses this indicator in their indicator framework.…”
Section: Introductionmentioning
confidence: 99%
“…22 This has improved with time. 23 However, administrative data in the United States are widely used and the individual outcomes here have been reported previously using administrative data [9][10][11]24,25 and for colorectal surgery. [26][27][28][29][30][31] We have also chosen outcomes which have been researched and approved by the CMS 10,11 and AHRQ, 15 who have published experience with these data.…”
Section: Discussionmentioning
confidence: 99%
“…Other ways to define long LOS have been proposed, such as 50% above the median. 32 Finally, the numbers have been grouped by CCS multilevel diagnosis groups to summarize these large and complex datasets for illustration purposes. For any inference to be drawn for differences between specialties, further work should concentrate on procedure and diagnosis specific complications to be added to the definition of adverse events.…”
Section: Discussionmentioning
confidence: 99%
“…The move toward “same-day surgery” programs was a response to avoid unnecessary LOS that adds cost and might not add value to the patient’s care [ 53 ]. In general, prolonged hospitalisation is associated with an increased risk of complications [ 54 ] and may indicate shortcomings in patient safety [ 55 ].…”
Section: Discussionmentioning
confidence: 99%