PRMs HOPE program process evaluation
Final report of findings
Published: April 2024.
This report is intended for PRMs HOPE program stakeholders across NSW Health, the report presents the process evaluation of the Patient Reported Measures (PRMs) Health Outcomes and Patient Experience (HOPE) program, conducted in 2022, its findings and recommendations. It was produced by the Australian Institute of Healthcare Innovation, Macquarie University on behalf of the NSW Agency for Clinical Innovation, eHealth NSW and the Ministry of Health.
Summarised report findings
Published: October 2023.
This report, intended for PRMs HOPE program stakeholders across NSW Health, summarised the findings and recommendations of the first process evaluation of the Patient Reported Measures (PRMs) Health Outcomes and Patient Experience (HOPE) program, conducted in 2022. The summary document was developed by the Ministry of Health, the Agency for Clinical Innovation, and eHealth NSW with input from local health district (LHD) and specialty health network (SHN) PRMs leads and executives before being endorsed by the Self-Reported Information (SRI) Steering Committee.
Analysing and using PRMs data effectively
Patient-reported outcome measures: Methods for analysis and reporting
Published: December 2023.
This report builds on the 2021 report, Analytic principles for patient-reported outcome measures.
It outlines methods to address some patient-reported outcome measures (PROMs) analysis challenges raised in the 2021 report. It also includes guiding principles for analysing and reporting on PROMs data at the service and system level.
It is for data analysts, statisticians and researchers who work with clinicians, consumers and health service managers to analyse and report on PROMs data.
Analytic principles for patient-reported outcome measures
Published: February 2021.
The PRMs Program team has developed Analytic principles for patient-reported outcome measures. This document outlines key principles to guide the analysis of patient-reported outcome data, such as those collected by the HOPE system.
The principles provide guidance for local analytic plans and help ensure that what patients tell us about their health and outcomes is interpreted accurately.
Download the Analytic principles for patient-reported outcome measures guide (PDF 1.3 MB)
Key analytic principles for patient-reported outcome measures
1. Patient characteristics
How to interpret patient-reported data across different case complexities, cognitive capacities, social circumstances.
Especially important for:
- populations in integrated care programs
- patients with impaired cognitive capacity such as hip fracture patients.
2. Time
What represents a meaningful change in patient-reported outcomes.
How to interpret improvement and worsening, of individual and aggregated data.
Especially important for:
- patients with chronic diseases such as chronic obstructive pulmonary disease, congestive heart failure, rheumatoid arthritis.
3. Data quality
- Underlying reasons and impact of missing responses and questionnaires
- Metadata-based insights to assess completion.
Especially important for:
- older, sicker patients who may be less likely to fill questionnaires, creating a bias.
4. Fair comparisons
How to adjust for differences in case mix, patient resilience, environmental confounders, utilisation patterns.
Especially important for:
- benchmarking and peer comparisons of clinicians, clinical teams, hospitals.
ACI Integrated Care Patient-reported outcome measures and patient-reported experience measures - a rapid scoping review
Published: 2015.
The ACI conducted the Patient reported outcome measures and patient reported experience measures – a rapid scoping review with a particular focus on the NSW Health Integrated Care Strategy. This expert scoping paper was produced to provide information, guidance and recommendations on patient reported measures question sets.
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