Literature DB >> 8689850

Patterns of in and out-patient activity for diabetes: a district survey.

C J Currie1, D R Williams, J R Peters.   

Abstract

The objective was to describe, by means of a retrospective study of three years' routine District information (financial years 1991/92 to 1993/94), the in- and out-patient activity for patients with diabetes, and compare this with the non-diabetic population. The clinical resource usage by patients with diabetes relative to those without was estimated by (a) their relative probability of admission by specialty, (b) attendance rates at out-patient clinics, (c) primary diagnosis, and (d) operations and procedures. The setting was a District Health Authority with a population of 408 000. All in-patient and out-patient records were reclassified as attributable to a patient with or without diabetes by cross-referral to routine records of patients with identified diabetes from separate hospital databases. The main outcome measures were: (a) relative frequency, and crude and age-specific relative probability of admission by specialty, ICD9 primary diagnosis, and OPCS4 primary operation and procedure, and (b) out-patient attendance rates by specialty. Patients with diabetes were responsible for 5.5% of admissions and 6.4% of out-patient attendances. However, because of increased length of stay, patients with diabetes occupy 9.4% of bed days. The relative risk of admission for diabetes related complications was: coronary heart disease 11.8 (95% CI = 11.4-12.3), cerebrovascular disease 11.8 (10.8-12.8), neuropathy and peripheral vascular disease 15.6 (13.6-17.9), eye complications 10.4 (9.3-11.7), and renal disease 14.7 (12.6-17.3). Recognised diabetes related vascular (9.3-11.7), and renal disease 14.7 (12.6-17.3). Recognised diabetes related vascular complications accounted for at least 23% of admissions of patients with diabetes. The relative risk of admission for diagnoses and procedures not known to be related to diabetes were similar for non-diabetic and diabetic patients. The pattern of out-patient activity mirrored that of the relative probability of admission. It is concluded that previous estimates of the proportion of NHS resources used for the treatment of patients with diabetes had been significantly underestimated. Patients with diabetes were found to occupy 1 in 10 non-obstetric, non-psychiatric beds. Many of these admissions were for diagnoses and procedures that are known to be related to diabetes.

Entities:  

Mesh:

Year:  1996        PMID: 8689850     DOI: 10.1002/(SICI)1096-9136(199603)13:3<273::AID-DIA57>3.0.CO;2-S

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  10 in total

1.  Costs of diabetes. A methodological analysis of the literature.

Authors:  E Pagano; M Brunetti; F Tediosi; L Garattini
Journal:  Pharmacoeconomics       Date:  1999-06       Impact factor: 4.981

2.  Patterns and costs of hospital care for coronary heart disease related and not related to diabetes.

Authors:  C J Currie; C L Morgan; J R Peters
Journal:  Heart       Date:  1997-12       Impact factor: 5.994

3.  How do individuals with diabetes use the accident and emergency department?

Authors:  E C Goyder; S W Goodacre; J L Botha; G G Bodiwala
Journal:  J Accid Emerg Med       Date:  1997-11

4.  Social deprivation and prevalence of epilepsy and associated health usage.

Authors:  C L Morgan; Z Ahmed; M P Kerr
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-07       Impact factor: 10.154

5.  Diabetes in a high secure hospital.

Authors:  I A MacFarlane; G V Gill; D Finnegan; J Pinkney
Journal:  Postgrad Med J       Date:  2004-01       Impact factor: 2.401

6.  Physical comorbidity and its relevance on mortality in schizophrenia: a naturalistic 12-year follow-up in general hospital admissions.

Authors:  Dieter Schoepf; Hardeep Uppal; Rahul Potluri; Reinhard Heun
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2013-08-13       Impact factor: 5.270

7.  Protocol for the ADDITION-Plus study: a randomised controlled trial of an individually-tailored behaviour change intervention among people with recently diagnosed type 2 diabetes under intensive UK general practice care.

Authors:  Simon J Griffin; Rebecca K Simmons; Kate M Williams; A Toby Prevost; Wendy Hardeman; Julie Grant; Fiona Whittle; Sue Boase; Imogen Hobbis; Soren Brage; Kate Westgate; Tom Fanshawe; Stephen Sutton; Nicholas J Wareham; Ann Louise Kinmonth
Journal:  BMC Public Health       Date:  2011-04-04       Impact factor: 3.295

8.  Inpatient care of patients with type 1 diabetes mellitus by duration of diabetes and sex: A nationwide population-based longitudinal study.

Authors:  Markku J Akkanen; Sirkka-Liisa Kivelä; Veli Koistinen; Harri Sintonen; Jaakko Tuomilehto
Journal:  Risk Manag Healthc Policy       Date:  2009-07-20

9.  A systematic review of the direct economic burden of type 2 diabetes in china.

Authors:  Huimei Hu; Monika Sawhney; Lizheng Shi; Shengnan Duan; Yunxian Yu; Zhihong Wu; Guixing Qiu; Hengjin Dong
Journal:  Diabetes Ther       Date:  2015-02-05       Impact factor: 2.945

10.  Health and economic impact of combining metformin with nateglinide to achieve glycemic control: Comparison of the lifetime costs of complications in the U.K.

Authors:  Alexandra J Ward; Maribel Salas; J Jaime Caro; David Owens
Journal:  Cost Eff Resour Alloc       Date:  2004-04-15
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.