Patient Experience of Australian General Practices

Area of Science:

• Health Services Research
• Big Data Analytics
• Sociodemographics in Healthcare

Background:

• Limited research exists on patient sociodemographic profiling and healthcare experiences.
• Analyzing patient data in healthcare is challenging due to sample size reduction in homogeneous subgroups.
• Understanding patient experience is crucial for general practice accreditation and improvement.

Purpose of the Study:

• To identify challenges in analyzing big data with patient-level and practice-level information.
• To examine the influence of patient sociodemographics and practice location on patient experience ratings.
• To provide a methodological framework for future patient experience research using dual-level data.

Main Methods:

• Utilized data from the Practice Accreditation and Improvement Survey (PAIS) collected between May 2011 and July 2014.
• Analyzed responses from 312,334 anonymous patients across 3,734 Australian general practices.
• Employed convenience sampling for general practices, analyzing 27 Likert-scale items and 11 sociodemographic questions.

Main Results:

• Patient sociodemographic profiles significantly affect practice ratings.
• Practice location (State/Territory, remote access) influences patient experience.
• Healthcare experiences differ across patient subgroups, notably for Indigenous and young patients.

Conclusions:

• Sociodemographic factors and practice location are key determinants of patient experience in Australian general practice.
• The study provides a framework for analyzing dual-level patient and practice data.
• Findings underscore the need for tailored healthcare policies to address differential patient experiences, particularly for vulnerable groups.