CJO - Abstract - PRIORITIZING PATIENTS FOR ELECTIVE SURGERY

Cambridge Journals Online

Cambridge Journals Online
International Journal of Technology Assessment in Health Care (2003), 19 : 91-105 Cambridge University Press
Copyright © 2003 Cambridge University Press
doi:10.1017/S0266462303000096 (About doi)
Published online by Cambridge University Press 22 Jan 2003
International Journal of Technology Assessment in Health Care (2003), 19:1:91-105 Cambridge University Press
Copyright © 2003 Cambridge University Press
doi:10.1017/S0266462303000096

GENERAL ESSAYS

PRIORITIZING PATIENTS FOR ELECTIVE SURGERY

(A Prospective Study of Clinical Priority Assessment Criteria in New Zealand)


Sarah Derrett a1, Nancy Devlin a2, Paul Hansen a3 and Peter Herbison a3
a1 Keele University
a2 City University
a3 University of Otago

Abstract

Objectives: Many hospitals in New Zealand have been using clinical priority assessment criteria (CPAC) to select and prioritize patients for access to publicly funded elective surgery. CPAC usually consist of clinical, patient-experienced, and social measures. The objective of this study was to determine how robust patient rankings were and the extent to which the patients selected were those who benefited the most from surgery.

Methods: Patients prioritized for cataract (n = 101), prostate (n = 103), and hip or knee joint replacement (n = 137) surgery according to CPAC were assessed using the EQ-5D, SF-12, and condition-related patient-experienced health status measures before and after treatment. Correlations between the rankings of patients on the CPACs and the alternative instruments were explored.

Results: For each surgery group, the CPAC ranking of patients was not strongly correlated with rankings obtained using their before-treatment EQ-5D (valued) profiles or the SF-12, although there was some correlation with rankings according to the condition-related measures. Improvements in the health status of patients who were operated on, as measured by the change in their EQ-5D values, were poorly correlated with equivalent changes on the SF-12 and condition-related measures. Patients' baseline health status according to the CPAC, the EQ-5D, and the SF-12 patient-experienced measures was only slightly related to the magnitude of benefit following surgery. The strongest predictors of improvement in health status were the baseline condition-related measures.

Conclusions: The current method of prioritizing patients in New Zealand requires reconsideration, although a gold standard method for prioritization is not immediately apparent from these results.


Key Words: EQ-5D; SF-12; Waiting lists; Prioritization; Health status.


Cambridge University Press