Using Best-Worst Scaling Survey to Investigate the Relative Importance of Attributes Associated with Public Hospital Outpatient Appointments.

ABSTRACT:

Introduction

Obtaining patient input before healthcare redesign improves patient experience. The Townsville Hospital and Health Service, a regional Australian public health service, seeks to reduce the long wait list for medical specialist appointments by introducing allied health substitution models of care for low-acuity patients. This paper describes a best worst scaling survey conducted to refine attributes associated with outpatient appointments which will be used in a future discrete choice experiment (DCE).

Methods

A literature review was conducted to identify attributes associated with medical specialist outpatient appointments and allied health substitution models. An object (or case 1) best worst scaling (BWS) survey was designed using blocks of a balanced incomple

SUBMITTER: Pain T 

PROVIDER: S-EPMC11985688 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature