2013
DOI: 10.1186/1472-6963-13-244
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Factors predicting hospital length-of-stay after radical prostatectomy: a population-based study

Abstract: BackgroundRadical prostatectomy (RP) is a leading treatment option for localised prostate cancer. Although hospital in-patient stays accounts for much of the costs of treatment, little is known about population-level trends in length-of-stay (LOS). We investigated factors predicting hospital LOS and readmissions in men who had RP following prostate cancer.MethodsIncident prostate cancers (ICD-O3: C61), diagnosed January 2002-December 2008 in men < 70 years, were identified from the Irish Cancer Registry, and l… Show more

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Cited by 13 publications
(11 citation statements)
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References 31 publications
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“…This explains why adding the mean annual procedure volume and the prostatectomy type separately to the regression model weakened the association between being a successful competitor and length of stay. This is in line with the existing evidence that robotic‐assisted RP and procedure volume are associated with reduced lengths of stay …”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…This explains why adding the mean annual procedure volume and the prostatectomy type separately to the regression model weakened the association between being a successful competitor and length of stay. This is in line with the existing evidence that robotic‐assisted RP and procedure volume are associated with reduced lengths of stay …”
Section: Discussionsupporting
confidence: 91%
“…This is in line with the existing evidence that robotic-assisted RP and procedure volume are associated with reduced lengths of stay. [31][32][33] Neither RP procedure type nor procedure volume was included in the original regression model, because both of these factors are potentially in the causal pathway explaining why hospitals classified as more successful competitors may demonstrate superior patient-level outcomes. Furthermore, there is a long-standing debate about the direction of effect with respect to the volume-outcome correlation.…”
Section: Discussionmentioning
confidence: 99%
“…The results for length of stay and re-admission emphasise that other relevant outcomes vary along the gradient from low hospital volume (and high mortality) to high volume (and lower mortality). A number of recent studies have explored associations within the wider set of outcomes: hospital volume, length of stay, complications, re-admission, mortality, and cost (17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30). None of these papers addresses all of the possible associations, but the emerging pattern is one of correlated and consistently favourable outcomes in high-volume hospitals.…”
Section: Comparison With Other Studiesmentioning
confidence: 99%
“…Data collection was carried out by physical assessment, examination of patients' records, observation, and face-to--face interview with patients. The follow-up period was four days after the surgery, determined based on a laparoscopic RP operation and the 2-4 day discharge period stated in the literature (4,16) .…”
Section: Data Collectionmentioning
confidence: 99%
“…A data collection form in line with a comprehensive review of literature was prepared by researchers. The form consisted of Gordon's Functional Health Patterns (FHP), sociodemographic features and postoperative assessments of patients (4)(5)10,(16)(17) . The FHP method was developed by Marjory Gordon (18) and is used by nurses in the nursing process for a comprehensive nursing assessment of patients.…”
Section: Data Collectionmentioning
confidence: 99%