Association of travel time, patient characteristics, and hospital quality with patient mobility for breast cancer surgery: A national population-based study

Abstract

Background: This national study investigated hospital quality and patient factors associated with treatment location for breast cancer surgery.

Methods: By using linked administrative data sets from the English National Health Service, the authors identified all women diagnosed between January 2, 2016, and December 31, 2018, who underwent breast-conserving surgery (BCS) or a mastectomy with or without immediate breast reconstruction. The extent to which patients bypassed their nearest hospital was investigated using a geographic information system (ArcGIS). Conditional logistic regressions were used to estimate the impact of travel time, hospital quality, and patient characteristics.

Results: 22,622 Of 69,153 patients undergoing BCS, 22,622 (32.7%) bypassed their nearest hospital; and, of 23,536 patients undergoing mastectomy, 7179 (30.5%) bypassed their nearest hospital. Women who were younger, without comorbidities, or from rural areas were more likely to travel to more distant hospitals (p < .05). Patients undergoing BCS (odds ratio [OR], 1.85; 95% confidence interval [CI], 1.36-2.50) or mastectomy (OR, 1.52; 95% CI, 1.14-2.02) were more likely to be treated at specialist breast reconstruction centers despite not undergoing the procedure. Patients receiving mastectomy and immediate breast reconstruction were more likely to travel to hospitals employing surgeons who had a media reputation (OR, 2.41; 95% CI, 1.28-4.52). Patients undergoing BCS were less likely to travel to hospitals with shorter surgical waiting times (OR, 0.65; 95% CI, 0.46-0.92). The authors did not observe a significant impact for research activity, hospital quality rating, breast re-excision rates, or the status as a multidisciplinary cancer center.

Conclusions: Patient choice policies may drive inequalities in the health care system without improving patient outcomes.

Keywords: breast cancer; geographic information systems; mastectomy; patient choice; quality indicators; waiting times.