EFFECT OF DELAYS ON INDIVIDUAL QUALITY OF LIFE OUTCOME AFTER PRIMARY TOTAL HIP ARTHROPLASTY

Abstract

This prospective cohort study examined the relationship between waiting time for elective total hip arthroplasty (THA) and changes in pre- to post-operative quality of life. It included one hundred and forty-seven patients who entered the waiting list for primary THA with osteoarthritis. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaire was used to assess patients at surgical consultation time (baseline) and one year post-operation. Baseline WOMAC score was a significant predictor for follow-up WOMAC score. Expedited access to THA results in a larger proportion of patients showing “better than expected” function at twelve months after the operation.

This study examined the relationship between waiting time for elective total hip arthroplasty (THA) and changes in pre- to post-operative quality of life.

Expedited access to THA results in a larger proportion of patients showing “better than expected” function at twelve months after the operation. The odds of a “better than expected” functional outcome decreased by 8% for each additional month on the wait list.

The study provides the estimates of decreased probability of “better than expected” outcome given a prolonged waiting time. Our study indicates that timely access to THA is needed for optimal post-operative outcome.

Baseline WOMAC score was a significant predictor for the follow-up WOMAC score in function (p=0.0005), pain (p=0.0036), and stiffness (p= 0.0004). Waiting for six months or less doubled the odds of achieving a “better than expected” functional outcome compared to longer waits (p= 0.05).

This prospective cohort study included one hundred and forty-seven patients who entered the waiting list for primary THA with osteoarthritis. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaire was used to assess patients at the surgical consultation time (baseline) and one year post operation. Regression models were used to determine the “expected” outcome for a certain individual baseline score. By using expected HRQOL outcome, we identified patients whose benefit from THA is better than expected. Logistic regression models were used to assess the relationship between waiting time and the probability of “better than expected” outcome.