Total and excess bed occupancy by age, specialty and insulin use for nearly one million diabetes patients discharged from all English Acute Hospitals

https://doi.org/10.1016/j.diabres.2006.10.004Get rights and content

Abstract

To investigate total diabetes bed occupancy and prolonged inpatient length of stay (LOS) in all English Acute Hospitals, we analysed hospital episode statistics (HES) discharge data for all English Acute Hospitals over 4 years for ICD10 discharge codes of E10 (‘insulin-dependent diabetes’) or E11 (‘non-insulin dependent diabetes’) by age-band (18–60, 61–75 and >75 years) and specialties. We matched these data to control discharges without these codes. There were 943,613 diabetes discharges (6,508,668 bed days) and 10,724,414 matched controls. Mean diabetes LOS increased with age for each specialty and both E10 and E11 codes, but excess diabetes LOS decreased with age. Excess diabetes LOS was <1.0 days in most groups and highest (1.2 days) in insulin-dependent surgical patients under 60 years old, where 19.7% of bed days were excess. A similar pattern was seen for 76,570 diabetes inpatients with key cardiac or surgical conditions. Excess bed occupancy due to prolonged mean LOS accounted for 325,033 bed days under general medical and surgical codes. There were 25,525 discharges with diabetic ketoacidosis (126,495 bed days) in these 4 years. Excess diabetes LOS is concentrated in younger age groups. Excess bed occupancy due to prolonged LOS in medical and surgical inpatients is three times greater than bed occupancy due to diabetic ketoacidosis. Strategies to reduce excess diabetes bed occupancy should emphasize reducing inpatient LOS in younger inpatients.

Introduction

Up to 10% of unselected inpatient populations have diabetes and most inpatients with diabetes are admitted because of medical or surgical conditions, rather than the acute or long term complications of diabetes [1], [2], [3], [4], [5], [6]. Populations with diabetes have higher hospital admission rates and inpatients with diabetes stay in hospital longer than age-matched controls without diabetes [1], [2], [3], [4], [5], [6]. The USA National discharge data described an excess mean inpatient length of stay (LOS) of 2.0 days in middle-aged diabetes inpatient populations [1], [2] and there are equivalent data from local populations in the UK and Europe [4], [5], [6], [7], [8], [9]. Although the causes for this excess length of stay are unknown, there is increasing evidence from the USA and UK that enhanced diabetes services for inpatients can reduce this excess diabetes bed occupancy [4], [10], [11], [12], [13]. The UK Diabetes National Service Framework (NSF) and the UK Long Term Conditions–Public Service Agreement (LTC–PSA) suggest ambitious targets for improving inpatient diabetes care and reducing chronic disease bed occupancy [14], [15]. There are no data on overall or excess diabetes related bed occupancy in a national UK or European population, certainly nothing to compare with the national hospital survey data in the USA [1], [2] and little on the contribution of excess LOS to overall national diabetes bed occupancy. The aim of this study was to provide an accurate descriptive analysis of total and excess diabetes bed occupancy due to prolonged length of stay in all English Acute Hospitals by age-band, specialty and insulin dependency in the main medical and surgical specialties and for key cardiac and surgical conditions.

Section snippets

Hospital episode statistics (HES) database

The UK Department of Health HES database contains discharge activity records for each financial year (1st April–31st March) for all National Health Service (NHS) providers in England. The HES dataset is created from nearly 300 NHS Hospitals. The presentation of these data are summarized elsewhere [16]. The diabetes population of England (2001) was estimated as 2,168,000 with an overall diabetes prevalence of 4.41% [17].

Diagnostic codes in HES

Diagnosis codes are taken from the established International Classification

Distribution of total diabetes discharges and associated occupied bed days (Table 1)

There were 943,613 discharges with a diagnosis of diabetes and 6,508,668 associated bed days in this 4 year period. The distribution of these discharges and bed days are shown by age-band and diabetes discharge code (E10 or E11) (Table 1). There were 222,694 (23.6%) discharges coded as E10 (‘insulin-dependent’) and 720,919 (76.4%) coded as E11 (‘non-insulin-dependent’). Of the E10 (‘insulin-dependent’) coded discharges, 104,949 (47.1%) were aged 18–60 years old compared to 72,303 (32.5%) and

Discussion

This analysis provides data on the distribution of nearly one million diabetes inpatient discharges by age-band, specialty and diabetes discharge code from the main medical and surgical specialties in all English Hospitals over 4 years. The main observations are that prolonged LOS in diabetes populations is relatively modest (rarely >1.0 days) and concentrated in younger age groups. This pattern also occurs in key cardiac and surgical conditions in diabetes inpatient populations. Finally, total

References (30)

  • G. Olveira-Fuster et al.

    Excess hospitalisations, hospital days and inpatient costs among people with diabetes in Andalusia

    Spain Diab. Care

    (2004)
  • P. Donnan et al.

    Hospitalizations for people with Type 1 and Type 2 diabetes compared with the non-diabetic population Tayside, Scotland: a retrospective cohort study of resource use

    Diab. Care

    (2000)
  • F. Carral et al.

    Increased hospital expenditures in DM patients hospitalized for cardiovascular diseases

    J. Diab. Complications

    (2000)
  • C.J. Currie et al.

    NHS acute sector expenditure for diabetes: the present, future, and excess in-patient cost of care

    Diab. Med.

    (1987)
  • D.A. Cavan et al.

    Reducing hospital in-patient length of stay for patients with diabetes

    Diab. Med.

    (2001)
  • Cited by (64)

    • Perioperative Risk Stratification and Modification

      2022, Anesthesiology Clinics
      Citation Excerpt :

      In Europe, more than a third of people with diabetes are unaware of their condition, and in the United Kingdom, diabetic patients account for 15% of all surgeries undertaken.66,67 It is a chronic, multisystem disease associated with increased postoperative length of stay, complications, and death.68–70 Outcomes are worse in patients for whom the condition is unrecognized before surgery, highlighting the importance of addressing this modifiable condition across the continuum of primary and secondary care.71,72

    • Association Between Systolic Blood Pressure and Cardiovascular Inpatient Cost Moderated by Peer-Support Intervention Among Adult Patients With Type 2 Diabetes: A 2-Cohort Study

      2021, Canadian Journal of Diabetes
      Citation Excerpt :

      The rapid increase in prevalence and health costs associated with type 2 diabetes has been observed worldwide (1). It has been estimated that the risk of hospitalization is 2-fold higher in people with diabetes vs those without diabetes, and the proportion with diabetes is >10% in those admitted to hospital at any one time (2). Among some specific age strata, this proportion is >20% (3).

    • Delivering Value Based Care: The UK Perspective

      2021, Perioperative Medicine: Managing for Outcome, Second Edition
    • Derivation and external validation of risk algorithms for cerebrovascular (re)hospitalisation in patients with type 2 diabetes: Two cohorts study

      2018, Diabetes Research and Clinical Practice
      Citation Excerpt :

      As cerebrovascular disease is one of the major causes of death and disability in people with type 2 diabetes [2], risk algorithms to predict cerebrovascular disease have been increasingly developed to facilitate the effective management of high risk individuals [3]. It is common for people with diabetes to be admitted to hospital, with one in five inpatients having diabetes in some age groups in England [4]. Cerebrovascular diseases is one of the more common causes for hospitalisation in patients with type 2 diabetes [5].

    View all citing articles on Scopus
    View full text