The role of economic evaluation in setting priorities for elective surgery

The consequence of delayed neurosurgical care at Tikur Anbessa Hospital, Addis Ababa, Ethiopia

Tikur Anbessa Hospital (TAH) is the major teaching hospital for Addis Ababa University and the only tertiary referral hospital for neurosurgery in Ethiopia. We explore the consequence of delayed treatment by examining the current system in place for treating patients and the wait times experienced by patients. A retrospective chart review was carried out on patients who received a neurosurgical operation at TAH between January 1 and June 30, 2007. We divided patients into those requiring an elective procedure and those requiring emergency surgical care. Based on data entered in the chart, we determined the length of time from symptom onset to neurosurgical consultation and the time from consultation to receiving an operation. Selective cases were chosen to illustrate the effects of delayed care. A total of 172 neurosurgical operations were performed between January 1 and June 30, 2007, at TAH. Of these, 107 (62.2%) charts were available for retrospective review. Fifty-six elective cases were reviewed. The median time from symptom onset to neurosurgical consultation was 185 days. The median time from neurosurgical consultation to operation was 44 days. Fifty-one trauma/emergency surgical cases were reviewed. The median time from symptom onset or traumatic event to neurosurgical consultation was 3 days. The median time from neurosurgical consultation to operation was 1 day. Delayed neurosurgical care comes with a high personal and social cost. By measuring the time from diagnosis to treatment and taking note of institutional practices, changes can be initiated to improve patient waiting times.

The impact of surgical wait time on patient-based outcomes in posterior lumbar spinal surgery

A prospective observational study was conducted on patients undergoing posterior lumbar spine surgery for degenerative spinal disorders. The study purpose was to evaluate the effect of wait time to surgery on patient derived generic and disease specific functional outcome following surgery. A prolonged wait to surgery may adversely affect surgical outcome. Although there is literature on the effect of wait time to surgery in surgical fields such as oncology, cardiac, opthamologic, and total joint arthroplasty, little is known regarding the effect of wait time to surgery as it pertains to the spinal surgical population. Consecutive patients undergoing elective posterior lumbar spinal surgery for degenerative disorders were recruited. Short-Form 36 and Oswestry disability questionnaires were administered (pre-operatively, and at 6 weeks, 6 months, and 1 year post-operatively). Patients completed a questionnaire regarding their experience with the wait time to surgery. The study cohort consisted of 70 patients with follow-up in 53/70 (76%). Time intervals from the onset of patient symptoms to initial consultation by family physician through investigations, spinal surgical consultation and surgery were quantified. Time intervals were compared to patient specific improvements in reported outcome following surgery using Cox Regression analysis. The effect of patient and surgical parameters on wait time was evaluated using the median time as a reference for those patients who had either a longer or shorter wait. Significant improvements in patient derived outcome were observed comparing post-operative to pre-operative baseline scores. The greatest improvements were observed in aspects relating to physical function and pain. A longer wait to surgery was associated with less improvement in outcome following surgery (SF-36 domains of BP, GH, RP, VT). A longer wait time to surgery negatively influences the results of posterior lumbar spinal surgery for degenerative conditions as quantified by patient derived functional outcome measures. The parameters of pain severity and physical aspects of function appear to be the most significantly affected.

A decision support simulation model for the management of an elective surgery waiting system

This paper describes the design of a simulation model to provide decision support for the scheduling of patients waiting for elective surgery in the public hospital system. Patients nominated for surgery by doctors are categorised by urgency and type of operation. The simulation model can be used as an operational tool to match hospital availability and patient need. It can also be used to report upon the performance of the system, and as a planning tool to compare the effectiveness of alternative policies in this multi-criteria decision environment.

Multi-criteria decision making--an approach to setting priorities in health care

The objective of this paper is to present a multi-criteria decision making (MCDM) approach to support public health decision making that takes into consideration the fuzziness of the decision goals and the behavioural aspect of the decision maker. The approach is used to analyse the process of health technology procurement in a University Hospital in Rio de Janeiro, Brazil. The method, known as TODIM, relies on evaluating alternatives with a set of decision criteria assessed using an ordinal scale. Fuzziness in generating criteria scores and weights or conflicts caused by dealing with different viewpoints of a group of decision makers (DMs) are solved using fuzzy set aggregation rules. The results suggested that MCDM models, incorporating fuzzy set approaches, should form a set of tools for public health decision making analysis, particularly when there are polarized opinions and conflicting objectives from the DM group.

Costs and cost-effectiveness in hip and knee replacements. A prospective study

The extensive benefits of the total hip (THA) and knee (TKA) replacements are well documented, but surprisingly little is known about their economics. We assessed costs, cost-effectiveness (C/E), and patient-related C/E variances in THA and TKA from data on 276 THA and 176 TKA patients. Patients with primary arthrosis, primary operation, and total joint replacement were recruited from seven hospitals between March 1991 and June 1992. Their use of health and other welfare services together with health-related quality of life (HRQoL) were measured before the surgery and at 6, 12, and 24 months postoperatively. HRQoL was assessed by the 15D, a 15-dimensional HRQoL instrument, and the Nottingham Health Profile. Costs were assessed from questionnaire responses, the Finnish Hospital Discharge Register, and Finnish Arthroplasty Register. Total hospital costs per patient were 45,000 FIM (US $10,500) for THA and 49,600 FIM (US $11,500) for TKA. Prosthesis costs comprised 21% of these costs in THA and 24% in TKA. On average, hip patients gained more in terms of HRQoL, and the operations were more cost-effective. The C/E ratio for younger (< or = 60 years) knee patients did not differ from those in all age groups of hip patients, whereas TKAs in those over 60 years had a worse C/E ratio compared with all other patient subgroups. It was concluded that allocation efficiency can be improved by considering not only the intervention but also patient characteristics such as age. Indeed, the C/E ratio varied more across age groups of knee patients than between average THA and TKA patients.