Skip to main content

The use of patient reported outcome measures in oncology clinical practice across Australia and New Zealand

Abstract

Background

While there is increasing evidence on the benefits of PROMs in cancer care, the extent of routine collection and use of PROMs in clinical cancer practice across Australia and New Zealand (ANZ) is unknown. This study examined the prevalence and characteristics of PROMs use in routine clinical cancer care in ANZ.

Methods

An online survey was designed and disseminated via professional societies and organisations using a snowball sampling approach to clinical and health administration professionals managing cancer care in ANZ. A poster advertising the study was also circulated on professional social media networks via LinkedIn and Twitter inviting health professionals from ANZ to participate if they were using or intending to use PROMs in clinical cancer practice. Responders opted into the survey via the survey link.

Results

From 132 survey views, 91(response rate, 69%) respondents from 56 clinical practices across ANZ agreed to participate in the survey, and of these 55 (n = 55/91, 60%) respondents reported collecting PROMs within their clinical practice. The majority of the respondents were from the State of New South Wales in Australia (n = 21/55, 38%), hospital (n = 35/55, 64%), and a public setting (n = 46/55, 83%). PROMs were collected in all cancer types (n = 21/36, 58%), in all stages of the disease (n = 31/36, 86%), in an adult population (n = 33/36, 92%), applied in English (n = 33/36, 92%), and used to facilitate communication with other reasons (27/36, 75%). A geospatial map analysis provided insights into the variation in PROMs uptake between the two countries and in certain jurisdictions within Australia. This study also highlights the limited resources for PROMs implementation, and a lack of systematic priority driven approach.

Conclusion

PROM use across Australia and New Zealand seems variable and occurring predominantly in larger metropolitan centres with limited standardisation of approach and implementation. A greater focus on equitable adoption of PROMs in diverse cancer care settings is urgently needed.

Background

A direct report from a patient on the status of their health condition without interpretation of their response by another individual is known as a patient-reported outcome (PRO) [1, 2] which is assessed with standardised questionnaires known as patient reported outcome measures (PROM). PROMs data have been used to inform health service performance and evaluation of costs, healthcare utilisation at the organisation level [3, 4]. The integration of a patients’ perspective is also important in informing areas for improvement within clinical practice and health care policy [5]. Over the past decade there has been growing interest in the use of PROMS in oncology clinical care as their routine collection has been associated with improved survival, reduced hospitalisations and emergency department presentations [6,7,8,9]. Further, with improved cancer treatments, the number of cancer survivors has increased [10, 11]. Positive findings from a systematic review by Graupner and colleagues recommend the use of PROMs in daily cancer care combined with feedback to the patients and relevant stakeholders [10] which may provide an important opportunity for a standardised approach to personalised cancer care [12].

While there is increasing evidence on the benefits of PROMs in cancer care, the extent of routine collection and use of PROMs in clinical cancer practice across Australia and New Zealand (ANZ) is unknown. For example, it is unclear whether the adoption of PROMs in clinical care varies, the perceived benefits of PROMs by healthcare personnel from oncology clinical practices; and how the data is used to inform individual patient care [13]. Addressing this gap will help inform the design of future health research and policies that may facilitate decision-making and encourage standardisation to the selection, implementation and evaluation of PROMs in the cancer clinical setting. This study examined the prevalence and characteristics of PROMs use in routine clinical care in ANZ such as how PROMs are collected, in which population and the infrastructure that supports the implementation of PROMs in the management of patients with cancer.

Methods

Study design

An online survey was designed and generated using the Qualtrics© software, Version 2021 (https://www.qualtrics.com), tested with the study authors, and further piloted by the Clinical Oncology Society of Australia (COSA) PROMs working group for the validity and appropriateness of the survey questions (Additional file 1: Appendix 1).

Survey development and testing

The questions in the survey were based on the items in the implementation guide for PROMs inclusion in clinical practice including the goals for collecting PROs, the patients, setting, and timing of assessments, questionnaire(s) in use, the mode for administering and scoring the questionnaire, processes for reporting results, clinic resources and to some extent evaluating the impact of the PRO intervention on the practice [14]. PROMs were defined as questionnaires that directly captured a patient’s perceptions on their disease or treatment related symptoms or side-effects, mental health concerns, or unmet needs. A ‘clinical practice’ was defined as any hospital, outpatient specialty clinic or community services. Responders who reported that they did not collect PROMs in clinical practice were asked if their clinical practice intended collecting PROMs in the future. The survey questions were either multichoice or short answer questions grouped in the following domains: (1) respondent demographics and clinical practice related information; (2) PROM collection of data; (3) resourcing, reporting and impact of PROMs data in clinical practice (Additional file 1: Appendix 1). A word document of the survey was sent for review to members from the COSA working group who provided feedback. Overall, members from the working group agreed that the content for the survey was appropriate and they shared further material from past surveys for the inclusion of additional questions. This survey was updated accordingly, developed online on Qualtrics and tested amongst the study authors. In addition, respondents were asked if they would be interested in taking part in further qualitative research.

Respondents and recruitment

Clinical and health administration professionals who managed patients with cancer were recruited from public or private clinical practices from the different regions in Australia. New Zealand was classified as one region. Clinical settings included cancer centres (clinical practices within tertiary hospitals focused solely on the treatment of cancer) or comprehensive cancer centres (integrated cancer research, treatment and education centre), hospitals, or cancer-specific academic institutions, and oncology departments of general medical centres, hospitals or academic institutions which provided cancer care.

This study was endorsed by COSA [https://www.cosa.org.au/] and supported by the International Society for Quality of Life (ISOQOL) [https://www.isoqol.org/] to disseminate the survey to their members within ANZ. An invitation email with a participant information sheet that included the link to the survey was distributed via the aforementioned professional societies and organisations. Further, a snowball sampling approach was used where the members were asked to forward the invitation email to their colleagues or professional acquaintances.

A poster advertising the study was also circulated on professional social media networks via LinkedIn and Twitter (Additional file 2: Appendix 2).

Responders opted into the survey via the survey link and were asked to provide consent to participate before they could continue with the survey. Only respondents who collected PROMs within their clinical practice to guide patient care in cancer were eligible for the study. Respondents who did not collect PROMs or collected PROMs for research, clinical trials and/or quality improvement purposes were excluded from the final analysis.

Analysis

Survey results were based on individual responses, and reported descriptively using frequencies, means/medians and percentages as appropriate. Data analyses were conducted in Microsoft Excel® Office 365 and Microsoft Power BI® 2022. A Chi Squared analysis was performed in Microsoft Excel® Office 365 to analyse the mean differences between responses of certain groups (collectors and non-collectors of PROMs in clinical practice for state, setting and organisational type). A two-sided p value of < 0.05 was considered statistically significant.

Open-ended questions were asked to determine the types of PROMs used in a respondent’s clinical practice, the process for developing PROMs if applicable, and whether the respondent was aware if the collection and reporting of PROMs had any impact on patient outcomes from their perspective. Where open-ended questions were used, responses were grouped into key themes or relevant areas and summarised quantitatively.

Results

Survey responses

Of the 132 survey views recorded on Qualtrics, 91(69%) respondents from 56 clinical practices across ANZ agreed to participate (Fig. 1).

Fig. 1
figure 1

Overview of initial survey responses on the use of PROMs in oncology clinical practice

Of the 55 respondents who collected PROMs within their clinical practice (n = 35), 30 (55%) completed the full survey and an additional 6 (11%) provided partial responses to questions on PROMs collection (in “section 2” of the survey, Additional file 1).

Respondents characteristics

Respondent characteristics are summarized in Additional file 3: Table S1. Most of the respondents collecting PROMs in clinical practice were from two states in Australia: New South Wales (n = 21/55, 38%) and Victoria (n = 14/55, 25%). Respondents with the highest response rate were from general referral hospitals (n = 20/55), 36%), tertiary referral hospitals (n = 15/55, 27%) or cancer centres (oncology units within a tertiary hospital setting focused solely on the treatment of cancer or comprehensive cancer centres; n = 14/55, 25%), and from a public setting (n = 46/55, 83%). A Chi-square test of independence showed no significant statistical association between collectors of PROMs in clinical practice and non-collectors for state X2(5, n = 73) = 4.25, p = 0.51, organisational setting X2(5, n = 73) = 1.44, p = 0.92 and organisational type X2(3, n = 73) = 0.49, p = 0.92.

Prevalence of PROM use

A geospatial map of postcode data (Fig. 2) shows areas of PROM use across ANZ mapped by the clinical practice setting. The highest response was received from one metropolitan postcode in New South Wales, Australia (n = 7) and two or more responses were received from eight other postcodes within New South Wales, Victoria and Queensland, Australia. In comparison, 15 of the 18 respondents who indicated that PROMs were not routinely collected within their clinical practice is highlighted in the insert (Fig. 2). No responses to the survey were received from any clinical practices in the Australian Capital Territory, Northern Territory or Tasmania.

Fig. 2
figure 2

Patterns of PROMs use, and non-use mapped by setting and postcode across ANZ

Approximately 80% (n = 73/91) of respondents indicated that they collected PROMs. However, 25% (n = 18/73) collected PROMs for reasons other than in clinical practice to guide care (Fig. 1). Of the 20% who stated they did not collect PROMs, reasons provided included (1) human resources, lack of integration into electronic medical records and the imbalance between available medical resources and patient numbers (n = 3); (2) some practices were in the process of evaluating relevant and flexible PROMs within their clinical practice e.g. supportive care/survivorship or premalignant/benign lesions (n = 2); and (3) one respondent felt PROMs were difficult to implement in their setting (paediatrics). Others highlighted the relevance of PROMs to all cancer types and the importance of their integration into routine clinical care (n = 2).

PROMs collection characteristics

Thirty-six of 55 respondents (65%) responded to this section of the survey (Table 1). PROMs were collected in all cancer types (n = 21/36, 58%), in adults and older adults (n = 15/36, 69%), and in all disease stages (n = 31/36, 86%). Many responded that they collected and used PROMs in an outpatient care setting (n = 23/36, 64%). Almost half reported collecting PROMs between the last 2–5 years (n = 17/36, 47%) and capturing PROMs data in at least half of their patient population (n = 17/36, 48%). Almost all (n = 33/36, 92%) distributed their PROMs only in English. Seventy five percent (n = 27/36) collected PROMs to facilitate communication between provider and patient, improving patient satisfaction with health care, unmet needs, to recognise/screen problems associated with the disease and treatment and to inform management of patient care. Half of the respondents (n = 18/36) used generic PROMs plus at least one disease specific, psychological, or customised PROMs developed ‘in house’. The choice of PROMs was often based on the recommendations of others, global standards, or based on the utility of the instrument. PROMs were completed on multiple occasions (n = 14/36, 39%) or in association with a consultation (n = 12/36, 33%) without an overlap in responses. Approximately 40% (n = 14/36) of respondents used various modes of administration to collect PROMs data and over 60% (n = 22/36) stored their data with their hospital system either within the electronic medical records or a purpose-built system.

Table 1 PROMs Collection Characteristics

PROMs type and reason for PROMs collection by clinical setting

The type of PROMs used by the different clinical settings and how the results were used are summarized in Additional file 3: Table S2. Generic PROMs in combination with various other (n = 7/20, 35%) were the most used in general referral hospitals, to facilitate communication and for many other reasons (n = 8/20, 40%). Similarly, generic PROMs in combination with various other (n = 6/15, 40%) were the most used in tertiary hospitals and the main reasons for collection included facilitating communication and various other (n = 7/15, 47%), screen for mental health issues and various other (n = 2/15, 13%) and improve patient satisfaction, recognise and screen problems plus various other, and detect unmet needs plus various other. Generic PROMs in combination with various other (n = 6/9, 67%) were mainly used in cancer centres to facilitate communication and for various other reasons (n = 6/9, 67%). In other settings, psychological in combination with other (n = 2/6, 33%) and disease / condition specific PROMs (n = 2/6, 33%) were used to facilitate communication with other reasons (n = 3/6, 50%) and to screen for mental health issues (n = 2/6, 33%).

Resourcing and reporting

Thirty respondents (55%) provided responses for this section (Table 2). Support for the collection of PROMs was provided via organizational funding (n = 9/30, 30%) or from within the individual clinical practice (n = 9/30, 30%). Oversight on PROMs collection and reporting was provided by a steering committee in 30% (n = 9/30) of cases and around a quarter (n = 7/30) did not know who provided governance. More than half (n = 17/30) did not have a database coordinator to manage PROMs collection. Approximately two-thirds (n = 20/30, 67%) of the respondents reported that PROM data was made available to clinicians in real-time. Doctors, nurses and allied health professionals were the most common disciplines with access to the PROMs data and data was reported to various key stakeholders from individual clinicians to health services and others such as funders and industry, government departments, and in peer reviewed publications. Over half (n = 16/30, 53%) did not know how often their clinical practice reported on PROMs data or to other stakeholders (e.g. individual clinicians or patients).

Table 2 Resourcing and Reporting

Impact of PROMs in clinical practice

Of the thirty respondents who completed the full survey, 19 (63%) stated that the collection and reporting of PROMs had a positive impact on patient outcomes including “increased allied health referrals and reduced presentations to acute assessment unit in oncology”; “positive feedback from consumers and demonstrated reduced emergency department presentations and admissions”; “concerns were identified early in their diagnosis and again if there are any changes”; that there was “increased clinical accountability”; scores above a certain threshold allowed input from psychology or a social work; and the positive changes were noted “according to the annual report”. Seven of the 30 respondents (23%) were not aware of any positive impacts whilst 4 (13%) were unsure or were “unable to determine until some analysis” could be undertaken.

Discussion

This study provides an insight into the current landscape of PROMs use in oncology care across ANZ. The majority of the respondents were from NSW, hospital, outpatient care and a public setting. PROMs were collected in all cancer types, in all stages of the disease, in an adult population, applied in English, and used to facilitate communication with other reasons that included improving patient satisfaction, detecting unmet needs, recognising and screening problems and providing feedback on symptoms or side-effects to clinicians. This study also highlights, the limited resources for PROMs implementation, a lack of systematic priority driven approach, and the variation in PROMs uptake between the two countries and in certain jurisdictions within Australia.

The percentage of patients with PROMs data collected, how the choice of PROMs was informed, timing, frequency, mode of collection and storage of data varied substantially. These findings were similar to a study conducted in the United States (US) by Zhang and colleagues who observed variability in timing and frequency with several practices experimenting with their own PRO collection timelines and highlight the need for greater standardisation of PRO use [13]. English was the most common language in which PROMs were distributed which may inadvertently exclude individuals with limited English proficiency in the PROMs informed clinical decision-making process raising concerns about equity of access to this clinical tool. Institutional leadership and funding support for validating translations and adoption of PROMs in other languages is needed. Multi-institutional collaboration with hospitals that serve larger non-speaking populations may decrease the resource burden and costs for adapting and implementing PROMs in non-English speaking populations [15].

A third of responders who completed the last section reported that PROMs data collection was resourced by the individual clinical practice itself and approximately a quarter did not know who provided oversight over PROMs data collection with over half reporting the lack of a coordinator or database manager. A coordinator is an important facilitator to help overcome the labour-intensive nature of implementation and barriers such as time constraints and an absence or lack of staff coordination. In addition, the coordinator acts as a point of contact, provides a link between the different levels within the organisation, and supports the multidisciplinary team [16].

Reporting of PRO data was delivered to a broad set of stakeholders in various ways e.g., at individual level using scores and change in response or in aggregate form for annual reports but reporting frequency was unknown to over half of the respondents again highlighting the need for standardisation as well as explicit governance of PROs. Further, in comparison to those that collected PROMs within their clinical practice, 20% (n = 18/91) of initial respondents in this study stated they did not collect PROMs. Some cited that this was due to barriers that included lack of organisational resources and integration. Other studies have also highlighted major barriers for health professionals that include lack of knowledge on interpretation and integration of PROMs into their clinical practice and inability with electronic PRO systems. Prevalent service level barriers are integration into clinical workflows and inadequate information technology infrastructure to enable ease of PRO data collection [17]. To address such barriers a US study implemented PROMs in cancer care that included real-time reporting, and effective resourcing and governance using an integrated health system approach [18]. The program used iterative cycles of implementation and review which involved engagement of multidisciplinary providers representing a wide breadth of clinical disease sites, strong support from cancer leadership focused on the implementation domain rather than disease specific instruments, having a physician champion, local supervisors and integrated case managers for each clinical unit [18]. Similar approaches could be adopted in Australia and New Zealand. Challenges with technology, clinician uncertainty as to how to use PROMs and competing priorities impacting integration of these measures into workflows remain consistent barriers [19, 20]. Important organisational considerations are the readiness to implement PROMs, addressing the current capabilities, existing resources and infrastructure; addressing barriers, by articulating a clear pathway for overcoming barriers; developing implementation strategies aimed to identify and support the PRO champions, integrating and piloting collection of PROs and consideration of an implementation framework; monitoring use and evaluating outcomes, and reporting data back to key stakeholders; and sustainability, that includes the development of a protocol for PROM collection and providing regular training [21].

This study has notable limitations. Although the developed questionnaire was reviewed by the COSA working group, the reliability of the questionnaire was not assessed using any statistical method such as the test–retest approach. Further, approximately 30% (n = 41/132) non-responders viewed the survey but did not agree to participate. As consent to participate was requested upfront, the characteristics of the non-responders were not captured in our survey to allow for comparison between the responders and non-responders to assess non-response bias. In addition, although our survey drew responses from 56 clinical practices across ANZ it is difficult to ascertain the generalizability and representativeness of our results. The respondents to our survey represent a sample of the oncology clinical practices across ANZ and may not be representative of all other practices, especially those who do not collect PROMs data and may be less inclined to complete our survey. There were a higher number of responders (n = 86) from Australia in comparison to New Zealand (n = 5). However, this may be expected given the larger Australian population, geography and associated number of clinical practices in comparison to New Zealand. There were also a large number of respondents from New South Wales and Victoria, Australia, and similarly these results may be due to these being the two largest regions in Australia by population. We received no responses from any clinical practices in the Australian Capital Territory, Northern Territory, or Tasmania suggesting less uptake of PROMs in these states and territories with lower population density and more limited healthcare resources. Further research should examine whether there is a lack of knowledge or data on the potential benefits of PROMs in routine clinical practice, or a lack of infrastructure to support PROMs uptake in certain jurisdictions [20].

Australia and New Zealand have large indigenous populations who may benefit from the implementation of culturally specific PROMs and yet our survey demonstrated little evidence of PROMS specifically used in Indigenous populations although some work is underway to develop a wellbeing measure for Aboriginal and Torres Strait Islander adults [22]. Further research is required to address the implementation of PROMS for these populations.

Implications for practice and research

This research has important implications highlighting the need for a systematic approach to PRO use including minimum standards of PRO use, standardised PROMs and implementation strategies that ensure equity of access [9]. Future research should focus on unique PRO needs of specific population such as Indigenous, CALD and those from rural and remote populations where access to technology supporting PROMS may be more limited. Implementation research focusing on the best implementation strategies to facilitate adoption, scale up and sustainability would also be of value.

Conclusion

PROM use across Australia and New Zealand seems variable and occurring predominantly in larger metropolitan centres with limited standardisation of approach and implementation. Considering the significant benefits of PROMs use, greater focus on equitable adoption of PROMs in diverse cancer care settings is urgently needed.

Availability of data and materials

All data generated or analysed during this study are included in this published article [and its supplementary information files].

References

  1. U.S Department of Health and Human Services. Food and Drug Administration (2009) Guidance for industry: patient-reported outcome measures: use in medical product development to support labeling claims. USFDA, Silver Spring

    Google Scholar 

  2. Johnston B, Patrick D, Devji T et al (2019) Chapter 18: Patient-reported outcomes. In: Cochrane handbook for systematic reviews of interventions, version 6

  3. Al Sayah F, Lahtinen M, Bonsel GJ et al (2021) A multi-level approach for the use of routinely collected patient-reported outcome measures (PROMs) data in healthcare systems. J Patient Rep Outcomes 5(Suppl 2):98

    Article  PubMed  PubMed Central  Google Scholar 

  4. Mackay TM, Latenstein AJ, Sprangers MG et al (2020) Relationship between quality of life and survival in patients with pancreatic and periampullary cancer: a multicenter cohort analysis. J Natl Compr Canc Netw 18(10):1354–1363

    Article  PubMed  Google Scholar 

  5. Prodinger B, Taylor P (2018) Improving quality of care through patient-reported outcome measures (PROMs): expert interviews using the NHS PROMs programme and the Swedish quality registers for knee and hip arthroplasty as examples. BMC Health Serv Res 18(1):87

    Article  PubMed  PubMed Central  Google Scholar 

  6. Snyder CF, Aaronson NK (2009) Use of patient-reported outcomes in clinical practice. Lancet 374(9687):369–370

    Article  PubMed  Google Scholar 

  7. Di Maio M, Basch E, Denis F et al (2022) The role of patient-reported outcome measures in the continuum of cancer clinical care: ESMO clinical practice guideline. Ann Oncol 33(9):878–892

    Article  PubMed  Google Scholar 

  8. Williams K, Sansoni J, Darcy M et al (2016) Patient-reported outcome measures. Literature review. Australian Commission on Safety and Quality in Health Care, Sydney

    Google Scholar 

  9. Koczwara B, Bonnamy J, Briggs P et al (2021) Patient-reported outcomes and personalised cancer care. Med J Aust 214(9):406–408

    Article  PubMed  Google Scholar 

  10. Graupner C, Kimman ML, Mul S et al (2021) Patient outcomes, patient experiences and process indicators associated with the routine use of patient-reported outcome measures (PROMs) in cancer care: a systematic review. Support Care Cancer 29(2):573–593

    Article  PubMed  Google Scholar 

  11. Caminiti C, Maglietta G, Diodati F et al (2022) The effects of patient-reported outcome screening on the survival of people with cancer: a systematic review and meta-analysis. Cancers (Basel) 14(21):5470

    Article  PubMed  Google Scholar 

  12. Montgomery N, Howell D, Ismail Z et al (2020) Selecting, implementing and evaluating patient-reported outcome measures for routine clinical use in cancer: the cancer care Ontario approach. J Patient Rep Outcomes 4(1):101

    Article  PubMed  PubMed Central  Google Scholar 

  13. Zhang B, Lloyd W, Jahanzeb M et al (2018) Use of patient-reported outcome measures in quality oncology practice initiative-registered practices: results of a national survey. J Oncol Pract 14(10):e602–e611

    Article  PubMed  Google Scholar 

  14. Snyder CF, Aaronson NK, Choucair AK et al (2012) Implementing patient-reported outcomes assessment in clinical practice: a review of the options and considerations. Qual Life Res 21(8):1305–1314

    Article  PubMed  Google Scholar 

  15. Allar BG, Eruchalu CN, Rahman S et al (2022) Lost in translation: a qualitative analysis of facilitators and barriers to collecting patient reported outcome measures for surgical patients with limited English proficiency. Am J Surg 224(1, Part B):514–521

    Article  PubMed  Google Scholar 

  16. Amini M, Oemrawsingh A, Verweij LM et al (2021) Facilitators and barriers for implementing patient-reported outcome measures in clinical care: an academic center’s initial experience. Health Policy 125(9):1247–1255

    Article  PubMed  Google Scholar 

  17. Nguyen H, Butow P, Dhillon H et al (2021) A review of the barriers to using patient-reported outcomes (PROs) and patient-reported outcome measures (PROMs) in routine cancer care. J Med Radiat Sci 68(2):186–195

    Article  PubMed  Google Scholar 

  18. Tam S, Zatirka T, Neslund-Dudas C et al (2023) Real time patient-reported outcome measures in patients with cancer: early experience within an integrated health system. Cancer Med 12(7):8860–8870

    Article  PubMed  PubMed Central  Google Scholar 

  19. Stover AM, Haverman L, van Oers HA et al (2021) Using an implementation science approach to implement and evaluate patient-reported outcome measures (PROM) initiatives in routine care settings. Qual Life Res 30(11):3015–3033

    Article  PubMed  Google Scholar 

  20. Krawczyk M, Sawatzky R, Schick-Makaroff K et al (2019) Micro–meso–macro practice tensions in using patient-reported outcome and experience measures in hospital palliative care. Qual Health Res 29(4):510–521

    Article  PubMed  Google Scholar 

  21. Mazariego C, Jefford M, Chan RJ et al (2022) Priority recommendations for the implementation of patient-reported outcomes in clinical cancer care: a Delphi study. J Cancer Surviv 16(1):33–43

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Howard K, Anderson K, Cunningham J et al (2020) What matters 2 adults: a study protocol to develop a new preference-based wellbeing measure with Aboriginal and Torres Strait Islander adults (WM2Adults). BMC Public Health 20(1):1739

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors gratefully acknowledge and thank the respondents who responded to our survey. We would also like to thank the COSA PROMs Working Group for their review of the survey and distribution through their network and the Cancer Research Program at Monash University for the provision of resources for this study. Also, thanks to the members of the ISOQOL Australia New Zealand Special Interest Group for distribution through their networks. In particular, thank you to Dr Julia Lai-Kwon and Dr Nadia Corsini for the distribution of the survey to their networks within the medical oncology and cancer survivorship groups.

Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

AM, NR BK, MJ, and CR designed the study; JN identified clinical practices, held meetings, and distributed the survey in New Zealand. AM prepared the first draft of the manuscript. All authors interpreted the data, edited, and reviewed the manuscript and gave final approval for submission of the final manuscript.

Corresponding author

Correspondence to Ashika D. Maharaj.

Ethics declarations

Declarations

Ethical Approval

This study was approved by the Monash University Human Research Ethics Committee (MUHREC #29941). A research collaboration agreement was drafted and signed between Monash University, COSA and ISOQOL to conduct this study.

Consent to Participate

Informed consent was obtained from all individual participants included in the study prior to the start of the survey. A participant information sheet was included outlining the details of the study.

Consent for publication

Participants were made aware that data will be presented in a de identified format for publication purposes when obtaining the consent to participate.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Appendix 1.

PROMs Survey.

Additional file 1: Appendix 2.

Social Media Campaign.

Additional file 3.

Suppl Table 1, Respondent Characteristics; and Suppl Table 2, Type of PROMs and Reason for PROMs Collection by Clinical Setting.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Maharaj, A.D., Roberts, N., Jefford, M. et al. The use of patient reported outcome measures in oncology clinical practice across Australia and New Zealand. J Patient Rep Outcomes 8, 1 (2024). https://doi.org/10.1186/s41687-023-00664-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s41687-023-00664-x

Keywords