Euro-Sante :: Euro-Health

Continuing with my thoughts today on excess costs (last post was on medicines waste), I thought I think about excess hospitalisation, another type of waste.

Excess risk of hospitalisation is calculated as the difference between observed hospitalisation (for a condition) and expected population rates.

What are the determinants of excess hospitalisation?

  • Excess hospitalisation can be driven by factors which increase population risk, such as influenza/epidemics, and seasonal and weather variation (e.g. respiratory/COPD, asthma, stroke).
  • Readmissions are viewed as excess hospitalisation.
  • There is some research, in the US, showing ethnic and gender variation in hospitalisation.
  • Complex conditions indicate potential for excess admission with failed primary care but that is a design feature of the health system. Complex/high risk patients disproportionately account for hospital activity. Depending on the other co-morbid conditions, some conditions signal excess costs some of which translate into (excess?) hospitalisation (e.g. Alzheimers), depending on how care is managed.
  • Not having a primary care doctor is a factor in excess use of emergency services and hospital emergency departments, and in turn to excess hospitalisation. On average, perhaps 10% of excess (inappropriate) emergency visits convert into admissions.
  • There is also misdiagnosis and excess length of stay caused by adverse hospital events (such as hospital acquired infection, accidents, patients falls, dropping patients, medicine errors).
  • Excess capacity (where utilisation is less than about 70%) leads to over-provision of care and obviously excess hospital admission. Incentives in reimbursement systems can drive hospitalisation.

Just so you don’t think I’m making this up, consider:

  1. US data show 17.6% of all Medicare hospital admissions were readmissions costing $15 billion annually, of which $12 billion was deemed preventable admission.
  2. The number of BSIs caused by MRSA and G3CREC was extrapolated from EARSS prevalence data and national health care statistics. Prospective cohort studies, carried out in hospitals participating in EARSS in 2007, provided the parameters for estimating the excess 30-day mortality and hospital stay associated with BSIs caused by either MRSA or G3CREC. Hospital expenditure was derived from a publicly available cost model. Trends established by EARSS were used to determine the trajectories for MRSA and G3CREC prevalence until 2015. In 2007, 27,711 episodes of MRSA BSIs were associated with 5,503 excess deaths and 255,683 excess hospital days in the participating countries, whereas 15,183 episodes of G3CREC BSIs were associated with 2,712 excess deaths and 120,065 extra hospital days. The total costs attributable to excess hospital stays for MRSA and G3CREC BSIs were 44.0 and 18.1 million Euros (63.1 and 29.7 million international dollars), respectively. Based on prevailing trends, the number of BSIs caused by G3CREC is likely to rapidly increase, outnumbering the number of MRSA BSIs in the near future. [de Kraker M, et al. Mortality and Hospital Stay Associated with Resistant Staphylococcus aureus and Escherichia coli Bacteremia: Estimating the Burden of Antibiotic Resistance in Europe, PLOS Medicine, October 2011]
  3. A total of 538,580 admissions generated 4,310,654 hospital bed-days and total costs of €940,026,949. People with diabetes accounted for 9.7% of all hospital discharges, 13.8% of total stays, and 14.1% of the total cost. Of the total cost for individuals with diabetes (€132,509,217), 58.3% were excess costs, of which 47% was attributable to cardiovascular complications and 43% to admissions for comorbid diseases. Individuals 45–75 years of age accounted for 75% of the excess costs. The rate of admissions during the study year was 145 per 1,000 inhabitants for individuals with diabetes compared with 70 admissions per 1,000 inhabitants for individuals without diabetes. [Oveira-Fuster G, et al. Excess Hospitalizations, Hospital Days, and Inpatient Costs Among People With Diabetes in Andalusia, Spain,Diabetes Care, August 2004]
  4. Schwartzberg studied health literacy among patients, and noted that patients with low literacy skills were twice as likely to be hospitalised and twice as likely to report poor health. She argues that low health literacy may cost $73 billion [US figures] annually in excess hospitalisation days alone. Much depends on improving the ability of patients (with help from their families) to carry out complex health instructions on their own. [Schwartzberg J. Patient safety. Low health literacy: what do your patients really understand? Nursing Economics, 20(3-2002), 145-147]

Want to know more?

As you local hospital to tell you what they do.


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