Literature DB >> 6500957

The effect of hospital characteristics and organizational factors on pre- and postoperative lengths of hospital stay.

L J Cannoodt, J R Knickman.   

Abstract

To determine reasons for variations in length of stay (LOS) for surgical patients, a comprehensive statistical model was specified and estimated using 1978 discharge abstract data from New Jersey. The model distinguished preoperative LOS from postoperative LOS, and analyzed differences in the impacts of each determining factor on each segment of a hospital stay. The model included a large set of control variables, but the focus of discussion in this article is on factors which reflect the preferences, policies, and organizational routines of hospitals. The empirical findings suggest strategies that hospital managers and regulators can use for reducing average LOS. For example, afternoon admissions often result in extra preoperative days of care even after adjusting for severity of illness. Apparent scarcity of posthospital care in New Jersey also seems to translate into longer hospital stays. Using a comprehensive model and a large, reliable data set, the analysis confirms many hypotheses concerning reasons for LOS variation that have been suggested by earlier research. However, the analysis also raises questions concerning the interpretation of other earlier findings.

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Year:  1984        PMID: 6500957      PMCID: PMC1068835     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  25 in total

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Authors:  J R Lave; S Leinhardt
Journal:  Inquiry       Date:  1976-12       Impact factor: 1.730

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Authors:  J Kavet; H S Luft
Journal:  J Med Educ       Date:  1974-04

3.  A survey of economic models of hospitals.

Authors:  P Jacobs
Journal:  Inquiry       Date:  1974-06       Impact factor: 1.730

4.  Clinical costs of medical education.

Authors:  P Wing
Journal:  Inquiry       Date:  1972-12       Impact factor: 1.730

5.  Length of stay and hospital bed misutilization.

Authors:  J G Zimmer
Journal:  Med Care       Date:  1974-05       Impact factor: 2.983

6.  Unidentified educational costs in a university teaching hospital: an initial study.

Authors:  D D Busby; J C Leming; M I Olson
Journal:  J Med Educ       Date:  1972-04

7.  Length of stay: prediction and explanation.

Authors:  D H Gustafson
Journal:  Health Serv Res       Date:  1968       Impact factor: 3.402

8.  Utilization of facilities of a university hospital: length of inpatient stay in various hospital departments.

Authors:  L P McCorkle
Journal:  Health Serv Res       Date:  1966       Impact factor: 3.402

9.  Patient characteristics, hospital characteristics and hospital use.

Authors:  K K Ro
Journal:  Med Care       Date:  1969 Jul-Aug       Impact factor: 2.983

10.  Barriers to appropriate utilization of an acute facility.

Authors:  J D Restuccia; D C Holloway
Journal:  Med Care       Date:  1976-07       Impact factor: 2.983

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  7 in total

Review 1.  Variations in lengths of stay and rates of day case surgery: implications for the efficiency of surgical management.

Authors:  M Morgan; R Beech
Journal:  J Epidemiol Community Health       Date:  1990-06       Impact factor: 3.710

2.  [Diagnosis-specific hospital length of stay in Schleswig-Holstein].

Authors:  J G Brecht; A Jenke
Journal:  Soz Praventivmed       Date:  1989

3.  Hospital discharge decisions, health outcomes, and the use of unobserved information on case-mix severity.

Authors:  S C Stearns
Journal:  Health Serv Res       Date:  1991-04       Impact factor: 3.402

4.  Analysis of diagnostic procedure costs for cerebrovascular disease admission to a highly specialized hospital.

Authors:  S Cristina; A Allevi; E Taioli; N Anzalone; A Nicolosi; E Polli
Journal:  Ital J Neurol Sci       Date:  1991-08

5.  Patients' length of stay in women hospital and its associated clinical and non-clinical factors, tehran, iran.

Authors:  R Ravangard; M Arab; H Zeraati; A Rashidian; A Akbarisari; F Mostaan
Journal:  Iran Red Crescent Med J       Date:  2011-05-01       Impact factor: 0.611

6.  Prediction of total hospital expenses of patients undergoing breast cancer surgery in Shanghai, China by comparing three models.

Authors:  Minjie Chen; Xiaopin Wu; Jidong Zhang; Enhong Dong
Journal:  BMC Health Serv Res       Date:  2021-12-13       Impact factor: 2.655

7.  Bladder infusion versus standard catheter removal for trial of void: a systematic review and meta-analysis.

Authors:  Joshua Makary; Kevin Phan; George McClintock; Marinelle Doctor; David Habashy; Sean Heywood; Steve P McCombie; Mohan Arianayagam; Bertram Canagasingham; Richard Ferguson; Ahmed Goolam; Mohamed Khadra; Raymond Ko; Celi Varol; Matthew Winter; Matthew J Roberts
Journal:  World J Urol       Date:  2020-08-14       Impact factor: 4.226

  7 in total

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