Explaining variations in inpatient length of stay in the National Health Service.

This paper seeks to explain variations in acute inpatient length of stay in the National Health Service in England. A model is proposed in which the length of stay is allowed to vary according to patient characteristics, the local supply of NHS care. the local pressure on NHS resources, other non-NHS health care supply factors, and local policy effects. Length of stay data are obtained from the 1991/1992 Hospital Episode Statistics. They are standardized for age, sex and broad specialty group, and are aggregated to the level of small areas with populations of about 10,000. Explanatory variables include socio-economic data from the 1991 Census of Population, health status data, waiting time data, measures of access to inpatient and GP services, and measures of local private health care provision. The paper finds that variability in length of stay is greatest in the over-65 age group. The most important determinants of variations in length of stay are access to NHS hospitals, access to private hospitals, waiting times for elective surgery, indicators of poverty, and indicators of the availability of informal care.

[1]  L. Burns,et al.  The Effects of Patient, Hospital, and Physician Characteristics on Length of Stay and Mortality , 1991, Medical care.

[2]  P. Fenn,et al.  Variations in length of stay. A conditional likelihood approach. , 1990, Journal of health economics.

[3]  P. Groenewegen,et al.  Variation in duration of hospital stay between hospitals and between doctors within hospitals. , 1993, Social science & medicine.

[4]  S. Berki,et al.  Length-of-Stay Variations Within ICDA-8 Diagnosis-Related Groups , 1984, Medical care.

[5]  R F Averill,et al.  The Relationship Between Severity of Illness and Hospital Length of Stay and Mortality , 1991, Medical care.

[6]  Thomas Jw,et al.  Measuring severity of illness: six severity systems and their ability to explain cost variations. , 1991 .

[7]  M. Hornbrook,et al.  Determinants of Hospital Use: A Cross-Diagnostic Analysis , 1983, Medical care.

[8]  J. Cairns,et al.  Why does length of stay vary for orthopaedic surgery? , 1992, Health policy.

[9]  R. Beech,et al.  Variations in lengths of stay and rates of day case surgery: implications for the efficiency of surgical management. , 1990, Journal of epidemiology and community health.

[10]  M. Spence,et al.  The Patient's Charter. , 1996, British journal of hospital medicine.

[11]  Stuart Peacock,et al.  A formula for distributing NHS revenues based on small area use of hospital beds , 1994 .

[12]  M. Tavakoli,et al.  An economic model of the market for hospital treatment for non-urgent conditions. , 1995, Health economics.

[13]  T. Bewley,et al.  Advances in Econometrics , 1995 .

[14]  L. Godfrey Misspecification tests in econometrics , 1988 .

[15]  C. Pain,et al.  Length of stay in general medical beds; implications for the NHS White Paper of variance within one performance indicator. , 1991, Journal of public health medicine.

[16]  Alan Wilson Urban and regional models in geography and planning , 1974 .

[17]  Les Mayhew,et al.  Urban Hospital Location , 1987 .

[18]  A M Epstein,et al.  Do the poor cost more? A multihospital study of patients' socioeconomic status and use of hospital resources. , 1990, The New England journal of medicine.

[19]  T. Sheldon,et al.  Attempt at deriving a formula for setting general practitioner fundholding budgets , 1994, BMJ.

[20]  J. Knickman,et al.  The effect of hospital characteristics and organizational factors on pre- and postoperative lengths of hospital stay. , 1984, Health services research.