Health of patients on the waiting list: Opportunity to improve health in Canada?

INTRODUCTION: A number of countries have healthcare systems where access to elective surgery is constrained. The inevitable outcome is wait lists for surgery. The objective of this study is to report cross-sectional health data collected from a broad sample of patients awaiting elective surgery and shed light on potential non-surgical treatments to improve health. RESEARCH DESIGN: Prospective cross-sectional survey of patients newly enrolled on the surgical wait list in the Vancouver Coastal Health region. Multivariate regression models were used to estimate the associations between patient characteristics and health, pain and depression. MEASURES: Health status instruments were used to measure study participants' general health, pain, and depression immediately after they were enrolled on the wait list for one of the targeted elective surgeries. RESULTS: A majority of patients reported some problems with pain or discomfort, and a large portion reported problems associated with anxiety or depression. Orthopedic patients were significantly more likely to report problems with mobility, usual activities and pain/discomfort. Neurosurgery patients were the most likely to report significant and severe depression. CONCLUSIONS: The high rates of pain and depression not only have implications for patients' immediate health, but may also affect long-term surgical outcomes. This study draws attention to recognizing a wider array of morbidity, some potentially requiring non-surgical interventions, while patients wait for elective surgery. Policy options include re-examining the surgical triage system and expanding surgical capacity to match self-reported health.

Challenges of rehabilitation case mix measurement in Ontario hospitals.

Case mix classification systems have been adopted in many countries as a method to manage and finance healthcare in acute care settings; the most popular systems are based on diagnosis related groups. The most successful of those case mix systems differentiate patient types by reflecting both the intensity of resources consumed and patient acuity. Case mix systems for use with non-acute hospital activity have not been as wide-spread; other than in the United States, little attention has been directed towards case mix classification for rehabilitation activity. In a province with over 13 million inhabitants with 2496 rehabilitation beds, inpatient rehabilitation is an important component of hospital care in Ontario, Canada, and consists of the spectrum of intensive rehabilitation activities intended to restore function. Although case mix adjusted activity has been the currency in Ontario's Integrated Population Based Allocation hospital funding formula, rehabilitation activity has not been subjected to case mix measurement. A project to examine case mix classification for adult inpatient rehabilitation activity was initiated by the Ontario Ministry of Health and Long-Term Care whose outcome was a case mix system and associated cost weights that would result in rehabilitation activity being incorporated into the hospital funding formula. The process described in this study provides Ontario's provincial government with a case mix classification system for adult inpatient rehabilitation activity although there remain areas for improvement.