Evidence map›Paper›PMID 41140450›Full record

ArticleEClinicalMedicine2025

Statewide integration of electronic patient-reported outcome measures into routine oncology care: a mixed-methods implementation study.

Carolyn Mazariego, Kimberley Williamson, Sandra Leon, Karina McCarthy, Kirby Stuart, Alexis Gazzard, Anthony Arnold, Geoffrey Delaney, Afaf Girgis, Shelley Rushton and 1 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Carolyn MazariegoCancer Institute New South Wales, St Leonards, Sydney, NSW, Australia.
Kimberley WilliamsonCancer Institute New South Wales, St Leonards, Sydney, NSW, Australia.
Sandra LeonCancer Institute New South Wales, St Leonards, Sydney, NSW, Australia.
Karina McCarthyCancer Institute New South Wales, St Leonards, Sydney, NSW, Australia.
Kirby StuartCancer Institute New South Wales, St Leonards, Sydney, NSW, Australia.
Alexis GazzardCancer Institute New South Wales, St Leonards, Sydney, NSW, Australia.
Anthony ArnoldIllawarra Shoalhaven Local Health District, NSW, Australia.
Geoffrey DelaneySouth-Western Sydney Local Health District, NSW, Australia.
Afaf GirgisSouth West Sydney Clinical Campuses, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, Australia.
Shelley RushtonCancer Institute New South Wales, St Leonards, Sydney, NSW, Australia.
Tracey O'BrienCancer Institute New South Wales, St Leonards, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic patient-reported outcome measures (ePROMs) have emerged as a crucial tool in oncology, facilitating real-time symptom monitoring, enhancing patient-centred care, and supporting data-driven clinical decision-making. In New South Wales (NSW), Australia, the Cancer Institute New South Wales led the state-wide implementation of an electronic patient reported measures (ePRM) system to integrate ePROMs into routine cancer care. Methods: We describe the ePRM system build and implementation through the EPIS (Explore, Preparation, Implementation, Sustainment) implementation science framework. The ePRM system was iteratively developed to support real-time symptom monitoring, automated alerts, and integration with oncology information systems (ARIA, MOSAIQ). A phased roll-out strategy included system integration, clinician training, stakeholder engagement, and change management coaching. Data collection included system utilisation metrics (e.g. number of surveys completed), implementation metrics (activation timelines), and clinician and patient feedback. Descriptive statistics summarised adoption patterns, while qualitative analysis identified key implementation barriers and enablers. A statewide governance structure guided development, ensuring alignment with clinical workflows and sustainability across diverse cancer services in NSW. Findings: From 09 September 2019 to 23 July 2025, the ePRM system has been technically implemented in 55 sites (and clinically implemented in 43/55) in NSW, collecting over 30,000 PROM surveys. 29 (67%) of 43 participating services utilise three validated measures: the Edmonton Symptom Assessment Scale (ESAS), Distress Thermometer (DT), and Problem Checklist. Implementation enablers included strong leadership support, clinician engagement, and system flexibility to accommodate local workflows. Barriers included variable IT infrastructure, clinician workload concerns, and limited allied health resources. Early feedback suggests that both patients and clinicians recognise the value of ePROMs in improving symptom management and care coordination. Interpretation: The NSW ePRM system demonstrates the feasibility of integrating ePROMs into routine oncology care at scale. Key lessons include the importance of co-design and adaptive implementation strategies. Future directions include expanding the use of ePROMs data for advanced analytics and policy insights, improving interoperability with electronic medical records, and refining clinician workflows to optimise response to PROM breaches. The findings offer insights for other healthcare systems seeking to implement and sustain ePROMs in routine practice. Funding: The Cancer Institute New South Wales funded the build of the electronic Patient Reported Measures System and integration costs of the platform. No other external funds from industry partners were obtained.

Indexed as

Clinical careDigital healthImplementationOncologyPatient reported outcomes

Identifiers

PMID41140450
PMCPMC12550168

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.