Skip to main content

A rapid state-of the-art review of client-reported outcomes measures used to assess dogs’ clinical signs and quality of life during chemotherapy

Abstract

Background

Quality of life is an essential component of decision-making in veterinary oncology. Poor management of adverse events during chemotherapy can impair dogs’ quality of life and be life-threatening. Consequently, client-reported outcome measures (CROMs) are being proposed to help assess both clinical signs and quality of life. The purpose of this rapid review was to: (1) identify existing CROMs that have been used to assess dogs’ clinical signs and quality of life during chemotherapy; and (2) evaluate their methodological development to inform adaptation or development of a CROM for use in routine clinical practice, including remote monitoring. Databases (Scopus, Web of Science, PUBMED/MEDLINE) were searched for CROMs (questionnaires) completed by a non-expert family member about their companion dog. CROM content (domains measured) and scale quality were appraised.

Results

Ten CROMs were identified and three were variations of the same tool. Content of the CROMs varied considerably (range 3–17 domains) with gastrointestinal being the most frequently measured clinical sign cluster (9/10 studies), followed by mobility/ambulatory activity (7/10) and global quality of life (6/10). No CROMs adhered to quality standards for the development of questionnaires and most failed to include qualitative design methods and basic psychometric assessment to ensure reliability and validity (such as internal consistency, test-retest reliability or factor analysis).

Conclusion

The validity and reliability of existing chemotherapy CROMs for dogs remains under-tested. Although CROMs combined with remote digital monitoring have the potential to enhance patient care, as has been demonstrated with physician-based oncology, there is a need to apply quality standards to ensure optimal validation. Interdisciplinary collaborations would likely improve CROM quality and clinical utility thereby allowing veterinary healthcare professionals to better support their patients.

Peer Review reports

Background

Across all breeds, cancer is the leading cause of death in dogs [1]. Chemotherapy is frequently used in animals, and inadequate management of severe adverse events (sAEs) during treatment can impair dogs’ quality of life, negate the curative intent of treatment and be life-threatening [2]. For clients, this can lead to emotional stress and increased costs and it can promote negative views of chemotherapy among the public and veterinary practitioners. Prevalence and risk factors for sAEs in veterinary oncology are poorly understood [2]. A systematic review of studies reporting sAE indicated that only 19% of published studies (including observational, randomised and nonrandomised clinical trials) used prospectively planned standardized assessments at pre-defined intervals, with most relying on spontaneous identification of sAEs, and indicated that this, and low statistical power, might lead to the underestimation extent of sAEs [3]. Recent longitudinal studies that used both questionnaire-based assessments and clinical evaluations, underpinned by standardised assessment criteria, have suggested somewhat higher rates for any sAE compared with studies that have not incorporated such assessments (32.3% of 155 dogs experience sAE at least once, compared to rates of 0-22.2% in others studies) [2]. Consequently, little is known about sAEs for dogs in the real-world (e.g., using multiple drugs/protocols and heterogeneous populations; cancer types, comorbidities, weight etc.) or in real-time. Furthermore, little is known about the dog-human behavioural mechanisms that may initiate help-seeking by clients. Comparable with human patients [4], clinical sign assessments rely on (1) people recognising that changes in dogs’ behaviour or signs are severe, (2) accepting their severity is impacting quality of life, and (3) taking action to report them. Any uncertainty (or owner denial) may lead to delays in reporting and unnecessary discomfort and distress resulting in poorer outcomes.

Client-perceived quality of life (QoL) is one of the most important determinants of decision-making in veterinary oncology [5, 6] and measuring this construct and its components in dogs and cats has become the focus of several recently developed QoL questionnaires [7,8,9,10,11]. However, to date, these instruments have primarily been designed as research or data collection tools, for example to standardize measurement within the context of clinical trials [10].

Increasingly patient-reported outcome measures (PROM) are being used in physician-based oncology. They can evaluate study endpoints but can also be used as clinical practice tools to provide safer, more responsive and personalised oncology care [12]. Smartphone and/or web-based monitoring platforms, underpinned by PROMs, have been developed to monitor symptoms remotely on a daily or weekly basis, often with in-built alerting algorithms, tailored evidence-based self-care advice and feedback loops to oncology professionals [4, 13, 14]. Recent high-quality randomised controlled cancer trials (RCTs) have demonstrated multiple benefits of remote monitoring using PROMS for symptom management and reduced toxicity; improved QoL; enhanced self-efficacy; reduced anxiety; enhanced survival; and reduced healthcare cost [4, 13,14,15,16]. These questionnaires are often described as Client Reported Outcome Measures (CROMS) in veterinary science [17], and are capable of transforming care and reporting of clinical trials, especially if combined with real-time remote clinical sign monitoring. To date such benefits have not been widely explored in veterinary practice generally, and veterinary oncology specifically.

Previous literature reviews have identified and assessed the content of existing QoL assessments [10, 11], focusing on CROMs for both cats and dogs. They did not however appraise the quality of CROM development for statistical validity or reliability properties. To be useful in practice, questionnaires must be reliable (provide consistent results) and demonstrate qualitative and statistical validity (measure what they claim to measure). In behavioural science and physician-based oncology, several frameworks around best practice for the development of psychometrically robust tools have been established [18,19,20,21,22,23] For example, the European Organisation for Research and Treatment of Cancer (EORTC) quality of life group have developed manuals for development of new EORTC questionnaires [24] and the COSMIN (COnsensus-based Standards for the selection of health Measurement Instruments) initiative has established recommendations for studies reporting the development of new PROMs [23]. It is currently unclear to what extent such standards have been adapted or applied in the development of veterinary CROMs. This is particularly important if a CROM is to be used as both a data collection tool for research, and to guide real-life treatment decisions as part of routine practice [25] (for example, incorporating daily or momentary assessments as part of a remote-monitoring system).

To adapt or develop a CROM for use in routine practice (including remote monitoring), we undertook a literature review to identify the content, scope and methodological development of existing CROMs. Specific objectives were to (1) identify existing CROMs to monitor clinical signs in dogs receiving chemotherapy and critically assess the methods used for their development; (2) to map the conceptual frameworks (e.g., general QoL or specific clinical signs) underpinning these CROMs; and (3) describe their content/properties and identify any gaps.

Methods

Information sources and searching

This review forms part of the Advancing Canine Treatment In Oncology (ACTION) study- a collaboration bringing together oncology scientists from both veterinary and human health under the concept of “One-Health”. We chose rapid review methodology to inform subsequent phases of the study and our approach follows best practice guidance [26,27,28], including being developed by veterinary experts in the field (NB, QF) with the support of a subject specialist librarian (EB). In brief, rapid reviews have emerged as a streamlined approach to synthesising and actioning research evidence in a timely way [23]. Their methods are designed to provide a summary of evidence on a focused topic within a shorter timeframe of a systematic review (typically 5–12 weeks) and use simplified processes to expedite the review, balancing the need for comprehensiveness and rigour with speed [23, 24]. Rapid reviews are well suited for research projects where an evidence review forms the first step for the design of subsequent phases (as with this review) or informing urgent policy or practice decisions [24]. Accordingly, this review was made rapid by using targeted search objectives, limiting the search to three databases (Scopus, Web of Science, PUBMED/MEDLINE), applying a restriction on the years searched (2007–2022) and restricting it to publications in English language only, excluding grey literature. Search terms included those relevant to dogs, chemotherapy, oncology, clinical signs and quality of life which were combined using Boolean operators (full terms are included in supplement 1). Additionally, reference lists of retrieved articles were checked to identify further relevant resources and veterinary experts in the field were consulted (NB, QF).

Eligibility criteria and assessment of inclusion

Studies were included if they met the eligibility criteria (Table 1), and included client reported outcome measures or questionnaires completed by a non-expert family member about their dog. To ensure we did not exclude possibly relevant findings, we included articles reporting research that sampled other relevant species (e.g., cats) if dogs comprised most of the sample and/or if the results for dogs were reported separately. One reviewer (KS) screened the title and abstract for all articles retrieved (20% checked by JH) and two reviewers (KS, JH) checked all articles where the full text was retrieved.

Table 1 Inclusion criteria for rapid review

Data charting, analysis and synthesis

We extracted data for all included studies into a spreadsheet including authors, title, year, journal, study aims, design, sample, details of the CROM and its administration, analysis methods, results, limitations and authors’ interpretation of findings. We then mapped the content of the CROM domain coverage to the major categories identified in the Veterinary Comparative Oncology Group - Common Terminology Criteria for Adverse Events (VCOG-CTAE) [29, 30], health-related quality of life (e.g. lethargy, mobility) and associated subjective (e.g. mood, play) domains (concept measured), allowing us to assess the breadth of content within individual studies as well as the category of clinical signs or QoL domain most frequently measured (i.e. clinical signs related to QoL and subjective QoL and wellbeing). We also coded the reference period used in the CROM (e.g., assessment of right now or in the last day, last week, month or non-specific), the timing of when the CROM was completed in relation to chemotherapy administration and the response options provided for the items. Content analysis was completed by one reviewer (JH) and verified by a second (KS).

Quality appraisal

The quality assessment criteria (QAC [22, 31] framework was used to assess the extent to which the key principles of questionnaire design and validation had been employed in the identified studies. The QAC framework used sets out 11 principles required for the robust development of questionnaires and their psychometric validation [32] allowing us to assess how each study/CROM performed against these criteria. These principles included [1] purpose and population [2], actual content (face validity) [3], item identification [4], item selection [5], uni-dimensionality [6], response scale [7], convergent validity [8], discriminant validity [9], predictive validity [10], test-retest reliability and [11] responsiveness (see Table 2 for full definition details). Each principle is given a good ( =2), adequate (=1) or poor (x = 0) rating allowing us to compare both the overall methodological quality between existing CROMs as well as aspects of reliability and validity relating to the overall body of literature. Quality appraisal was completed by a reviewer with expertise in questionnaire design and methodology (JH).

Table 2 Quality Appraisal Criteria. (adapted from Pesudovs et al., 2007)

Protocol and registration

Our review protocol is available via Open Science Framework at https://osf.io/kmfha/.

Results

Identification of studies

In total, 1470 records were identified (984 through database searches and 9 from other methods) (Fig. 1). After removing duplicates, 498 unique records were screened with 375 excluded as out of scope based on title and abstract. Overall, 116 full-text articles were obtained and assessed further for eligibility. Of these, 106 were excluded because they did not involve CROMs, did not focus on chemotherapy or were otherwise out of scope. In addition, two literature reviews were retrieved, and their reference lists were checked for eligible articles; no additional articles were identified. A total of 10 articles [7, 8, 33,34,35,36,37,38,39,40] met the inclusion criteria from which eight unique CROMs were identified. One CROM, Lynch’s Cancer Treatment Form [7] was subsequently adapted and extended in two additional studies [33, 37]. One paper did not provide an example of the content of the CROM [8]; this was requested from the author via email without reply; and so the content analysis was based only on what was described in the article.

Fig. 1
figure 1

PRISMA flowchart for rapid review

Characteristics of included studies

The sample sizes of studies varied, ranging from 10 to 107 (median 44 dogs), totalling 482 dogs (Table 3). Most studies involved single-centres (9/10) and the most common tumour type represented was canine lymphoma (30%, 142 dogs across 7 studies) [7, 8, 33,34,35,36,37, 39]. In terms of their primary purpose, only three of the ten studies can be described as having the primary aim of reporting results for a clinical sign or quality of life CROM in dogs receiving chemotherapy [7, 8, 38], and only one of these explicitly sought to assess the potential utility of the CROM [7], rather than focusing on reporting the dogs’ QoL outcomes. The remaining studies either modified existing CROMs as part of an RCT (efficacy of smectite in the management of chemotherapy induced diarrhoea (CID) [33]), or quasi-experimental study (single-agent vs. multidrug protocols [37]), or developed their own study-specific CROM for observational studies (palliative multidrug chemotherapy for lymphoma [34]; treatment with carboplatin [40]; doxorubicin (followed by administration of maropitant [35]) or clinical trials (maropitant after doxorubicin [39]; probiotics for CHOP (cyclophosphamide, hydroxydaunorubicin, oncovin, and prednisone or prednisolone) [36].

Table 3 Characteristics of included studies and identified chemotherapy oncology client reported outcome measures (CROMs)

Most studies administered paper CROMs [33,34,35,36,37,38] including CROMs to be returned by post [40] and one had the option of being completed electronically or on paper [8]. None of the CROMs were reported to be developed with the aims of enabling frequent and routine remote online monitoring/reporting of clinical signs.

Quality appraisal of instrument development and performance

The QAC framework [22] was used to assess the extent to which eleven key principals of questionnaire design and validation had been employed in the identified studies. Overall, the studies reported minimal information on the methods used to develop or adapt the CROMs, nor did they include any detailed information about how they used the results of any development methods to subsequently refine and improve their measure (Tables 3 and 4).

Table 4 Quality appraisal of identified studies$

The total QAC appraisal scores for individual studies ranged from two [40] to seven [36] out of a maximum score of 22 (Table 3). Across all studies the QAC criteria most likely to be demonstrated (maximum score = 20) were:

  • purpose and intended population (specification of purpose pre-study and if intended population has been studied; total score 17 and present across all studies),

  • actual content (face validity, the extent to which the measure content appears to measure what was set out in the aims of the study and appears relevant to the population; total score 14 and present across nine studies).

  • and providing details of their response scale (total score nine and present across eight studies, although only one provided a justification [8]).

None of the studies assessed important criteria including:

  • item selection, i.e., statistical justification for the refinement or removal of redundant items or inclusion of effective items,

  • convergent validity, i.e., assessment of the degree of correlation with an alternative measure or clinical assessment to which it should be similar,

  • discriminant validity, i.e., the degree of divergence with a measure or clinical assessment to which it should not be similar,

  • or test-retest reliability, i.e. the assessment of measurement error by administering over two proximal time-points.

One study each demonstrated item identification (i.e., involving a wider group of clinicians or clients in the development of their CROM as part of stakeholder consultation or a formal qualitative phase) [7], uni-dimensionality (Jugan et al. [36] reported scale internal consistency using Cronbach’s alpha) and responsiveness (i.e., assessing change overtime [8]). Three studies described some initial predictive validity (i.e., associations between scale and future events/outcomes [8, 33, 36]).

Lynch et. al [7] offered the most comprehensive insight into the conception and design of their CROM which involved veterinary oncologists in the US identifying what they felt were the most important considerations in assessing QoL in dogs. The 10 aspects that were suggested by three or more oncologists were chosen as either a domain (aspect of quality of life to be measured) or as a question within a domain. They also gained structured feedback from clients using a study specific questionnaire which indicated that 98% of respondents thought the form accurately reflected their pet’s QoL. More generally, Jugan et al. [36] explicitly reported that some clinical signs they included had been informed by VCOG-CTAE [30]. No studies used formal qualitative or pre-testing methods (such as cognitive interviewing) in the design of their CROM to determine client understandability, comprehension or interpretation of the items, and none explored basic data quality such as the extent of missing data in their CROM completion or floor/ceiling effects (e.g. the extent to which values cluster around the low or high end of the scale, potentially limiting sensitivity of the measure).

Content analysis

Conceptual mapping

We mapped the content of the CROMs to relevant VCOG-CTAE [29, 30] categories or QoL domains (Table 5). Nearly all CROMs (9/10 studies) measured clinical signs relating to the gastrointestinal system with the most commonly measured specific clinical signs being appetite changes (n = 9), vomiting and diarrhoea (n = 7); and least commonly assessed clinical signs were constipation (n = 3), weight changes (n = 2) and nausea (n = 2). Four studies each assessed renal/urological function (hydration and/or urination) or clients’ perception of pain. Three studies included assessment of dermatological issues such as lumps/discharge (n = 2) or rashes/itching (n = 1) and two included measures in the pulmonary/respiratory category (breathing and/or coughing).

Table 5 Oncology CROM: content analysis

Nine studies included various individual measures of non-specific indicators of general health-related QoL/physical functioning such as mobility (n = 7), lethargy/sleep (n = 3) and hygiene (n = 1). Six studies included at least one global rating of the dog’s QoL or general wellbeing (e.g., “My pet has been having a good QoL”, Bianchi et al. [32]) and five included items which measured specific aspects of QoL including perceived happiness/joy (n = 4), mental states and mood (n = 4) and interaction/play (n = 2). In terms of breadth of content, the most comprehensive CROMs were those of Fournier et al. [33] and Bianchi et al. [37] with each measuring 14 domains – considerably more than the nine domains measured in the Lynch’s original scale [7] on which their measures were based.

Reference periods and timing of clinical sign assessment

Few CROMs asked clients to either rate their dog’s clinical signs as they were at the specific time/day of assessment [35, 39], or approximate how they had been over the previous 7-days [36]. The timing of clinical sign assessment intervals varied considerably including a one-off assessment [7, 34, 40], completion at specific timepoints (e.g., prior to treatment start, at each treatment, weekly during treatment, at each predicted neutrophil nadir, at end of treatment) [8, 33, 37, 38]. In two studies, clients were asked to complete the CROMs daily for either one [35] or two [39] weeks following administration of treatment. Two studies involved clients rating their pets QoL during treatment retrospectively; treatment could have been up to 5 years earlier [34, 40].

Response scales

Most CROMs required clients to rate each clinical sign according to severity and/or duration on either a visual analogue scale or using adjective descriptors such as ‘never, infrequently, sometimes, frequently, always’ or ‘mild, moderate, severe’ [40]. Fournier et al. [33] required a binary yes or no answer to the presence of clinical signs. In their interpretation, some authors went on to map reported clinical signs to VCOG-CTAE [35, 39, 41].

Discussion

This rapid review demonstrates that, unlike in physician-based oncology, there are few CROMs available to measure QoL and clinical signs during chemotherapy in dogs. Those that have been developed do not comprehensively assess relevant clinical signs, assess differing ones, and have limited methodological rigour with regards to both validity and reliability [42].

Assessment of the chemotherapy CROMs methodological quality suggests that no studies included qualitative development methods in their design. Qualitative development is viewed as essential to ensure that questionnaires are constructed to reflect the day-to-day experience of living with a condition and its impact [18], i.e. to identify how clients identify and interpret their companion dogs’ clinical signs and behaviour. This typically incorporates pre-testing methods such as cognitive interviews and structured interviews or checklists, which are used to ensure questionnaire designs (including flow, item wording and response options) are widely understood (as intended by the researcher), measure the most important domains, and are consistently interpreted by non-experts [43].

Across all studies there was minimal exploration of some basic statistical properties which are commonplace in the development of human patient scales such as the assessment of internal consistency, uni-dimensionality and test-retest reliability. Therefore, most studies presented results of their CROM outcome without first determining whether the measurement itself is reliable and/or valid. Furthermore, unlike in some areas of veterinary medicine such as orthopaedics [44], researchers have yet to establish what constitutes a clinically meaningful difference in chemotherapy CROMs. As most CROMs were used at single centres with no external validation either within the study or in a subsequent study, their generalizability to other settings remains untested.

Despite these limitations, these CROMs may still provide interesting insights into QoL and clinical sign experience but any consideration should note that there are currently no “ideal” tools available to either researchers or clinicians. The results indicate that whilst Jugan et al. [36] had the strongest quality assessment, Fournier et al. [33] had the most comprehensive content coverage in terms of VCOG-CTAE clinical sign categories and for the assessment of QoL. Across all CROMs gastrointestinal systems were the group of clinical signs most frequently measured, followed by mobility/ambulatory activity and a subjective rating of global QoL (usually a single statement such as How would you rate your dog’s quality of life?). Other clinical signs such as fatigue, nausea and pain were assessed in some CROMs but it remains unclear how reliable such assessments are when carried out by family members.

Furthermore, the content analysis suggested that there were two domains that are relatively underrepresented in available CROMs. Firstly, dermatological conditions such as specific skin changes; these were assessed by only one study [36] by incorporating an item ‘Have you noticed any skin changes (e.g., rash, hair loss, redness, bruising, colour change) or itching?’ which, if indicated, participants were asked to describe further. This non-specific assessment of pruritus and scaling skin which according to VCOG-CTCAE criteria is a potential clinical sign that -although rare - can have a significant impact on QoL, could be assessed with greater specificity by clients by measuring specific nature of the skin change. Indeed, if indicated by a digital CROM, smartphone camera technology could enable veterinary professionals to assess such clinical signs relatively easily, but such technologies appear not to be utilised in combination with CROMs. Secondly, changes in personality and behaviour have been indicated as important indicators of QoL in dogs [45] and whilst attempts have been made in some CROMs to assess the impact of chemotherapy treatment on the personality and mental status of pets, there was no evidence on the processes involved to determine the nature of these questions. Additionally, none of the identified CROMs described attempts to map changes in personality or behaviour to VCOG-CTCAE [29, 30], even though grade descriptors are available. The increased use of descriptive terms such as those recommended by Wiseman-Orr et al. [45](e.g., nervous, subdued, withdrawn) may also help clients to quantify and communicate changes to their dog’s QoL, and could be valuable additions to future CROMs.

CROMs also varied considerably in their administration timing and required recall period with three being used for one-off [7, 34, 40], three for weekly or intermittent [8, 33, 36,37,38] and two daily-assessments [35, 39]. Of these, two were used for retrospective assessment with potentially long memory recall periods (up to 5-years) [34, 40] meaning participants may be more liable to misremembering events. The recall period that the CROM refers to is important when choosing a CROM because there is often a difference between the needs of CROMs primarily designed as a QoL outcome measure for efficacy trials (where recall over the last week or cycle may be acceptable), compared to epidemiological studies which may require a more granular level of detail. In the latter context, increasingly ecological momentary assessment methodologies are being used to provide briefer “snapshot” validated measurements in daily life. Similarly for use in practice, clinicians may prefer the measurement of daily clinical signs so they can monitor trajectories and changes over the course of a cycle, but it is unclear if this would be acceptable to pet owners. Although such an approach has been used for remote symptom monitoring in human cancer patients (with algorithms triggering advice and/or clinical intervention) the appropriateness and transferability of this model of care in veterinary oncology remains unclear.

Indeed, no studies reported the development of CROMs for use in routine clinical practice. As an emerging field, it is important that veterinary CROMs scientists collaborate with practitioners from human behavioural science and oncology to ensure high standards in CROM design and development, for example by using criteria such as that outlined in Table 2[12]. PROM usage in routine care is more likely to be successful if they are viewed as useful, relevant and easy to complete [46]. For example, if PROM data can be collected in patients’ homes with user-friendly platforms and if clinicians, nurses and support staff are provided with similarly user-friendly and informative platforms as well as information to help them understand of how they can be useful for research, practice and business efficiency [47]. These are all important factors that will be important to embed in the design of veterinary CROMs.

The strength of this review’s findings is enhanced by adherence to rapid review principles [23,24,25] including use of independent data sources, systematic identification and retrieval, cross-referencing and a broad approach to literature searching informed by recommendations. However, several limitations should be noted. Initial screening was undertaken by one author (KS), although a second reviewer assessed all the abstracts retrieved (JH). As with all rapid reviews, we cannot be certain that we did not exclude or miss some important studies; however, we tried to minimise this with assessment of full-text articles for further studies and by the involvement of oncology expert reviewers (NB, QF). In addition, unlike previous reviews of oncology CROMs [9, 10], our rigour was strengthened by our use of an established health questionnaire quality appraisal system [21], reflecting a benefit of our multi-disciplinary approach.

Conclusion

Although CROMs exist in veterinary oncology, their reliability, validity and clinical utility are relatively untested. This implies that clinical sign prevalence, severity and impacts on QoL are likely being underestimated, as has been demonstrated for people’s symptoms [48]. This might lead to sub-optimal clinical sign management, ultimately negatively impacting dogs’ QoL. As the range of treatment regimens being used in humans has increased dramatically in recent years [49], many are likely to be adopted into veterinary oncology. We need to ensure that we have valid and reliable CROMs to accurately assess any treatment adverse events and their impacts on QoL.

The validity of CROMs are particularly important in RCTs and other research where more responsive assessments allow us to measure and understand clinical sign trajectories across conditions and breeds, and link client-reported assessment to biomarkers and objective clinical outcomes. Currently, the opportunities offered by CROMs, with or without remote monitoring, are being undercapitalised as regards companion animals. If veterinary oncology follows trends in humans, such technologies will be increasingly sought after by both veterinary practitioners and clients and potentially pave the way to more personalised care.

Data availability

Not applicable as review. Data extraction files will be made available on Open Science Framework.

Abbreviations

DOX:

Doxorubicin

CHOP:

Cyclophosphamide, hydroxydaunorubicin, oncovin, and prednisone or prednisolone

CROMs:

Client Reported Outcome Measures

PROMs:

Patient reported Outcome measures

QoL:

Quality of life

RCT:

Randomized controlled trial

VCOG-CTCAE:

Veterinary cooperative oncology group—common terminology criteria for adverse events

References

  1. Lewis T, Wiles B, Llewellyn-Zaidi A, Evans K, O’Neill D. Longevity and mortality in Kennel Club registered dog breeds in the UK in 2014. Canine Genet Epidemiol. 2018;5(1):1–17.

    Article  Google Scholar 

  2. Chavalle T, Chamel G, Denoeux P, Lajoinie M, Sayag D, Berny P, et al. Are severe adverse events commonly observed in dogs during cancer chemotherapy? A retrospective study on 155 dogs. Vet Comp Oncol. 2022;20(2):393–403.

    Article  CAS  PubMed  Google Scholar 

  3. Giuffrida MA. A systematic review of adverse event reporting in companion animal clinical trials evaluating cancer treatment. J Am Vet Med Assoc. 2016;249(9):1079–87.

    Article  PubMed  Google Scholar 

  4. Maguire R, McCann L, Kotronoulas G, Kearney N, Ream E, Armes J et al. Real time remote symptom monitoring during chemotherapy for cancer: European multicentre randomised controlled trial (eSMART). BMJ. 2021;374.

  5. Oyama MA, Rush JE, O’Sullivan ML, Williams RM, Rozanski EA, Petrie J-P, et al. Perceptions and priorities of owners of dogs with heart disease regarding quality versus quantity of life for their pets. J Am Vet Med Assoc. 2008;233(1):104–8.

    Article  PubMed  Google Scholar 

  6. Reynolds C, Oyama M, Rush J, Rozanski E, Singletary G, Brown D, et al. Perceptions of quality of life and priorities of owners of cats with heart disease. J Vet Intern Med. 2010;24(6):1421–6.

    Article  CAS  PubMed  Google Scholar 

  7. Lynch S, Savary-Bataille K, Leeuw B, Argyle DJ. Development of a questionnaire assessing health-related quality-of-life in dogs and cats with cancer. Vet Comp Oncol. 2011;9(3):172–82.

    Article  CAS  PubMed  Google Scholar 

  8. Iliopoulou MA, Kitchell BE, Yuzbasiyan-Gurkan V. Development of a survey instrument to assess health-related quality of life in small animal cancer patients treated with chemotherapy. J Am Vet Med Assoc. 2013;242(12):1679–87.

    Article  PubMed  Google Scholar 

  9. Giuffrida MA, Brown DC, Ellenberg SS, Farrar JT. Development and psychometric testing of the Canine owner-reported quality of life questionnaire, an instrument designed to measure quality of life in dogs with cancer. J Am Vet Med Assoc. 2018;252(9):1073–83.

    Article  PubMed  Google Scholar 

  10. Giuffrida M, Kerrigan S. Quality of life measurement in prospective studies of cancer treatments in dogs and cats. J Vet Intern Med. 2014;28(6):1824–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Vøls KK, Heden MA, Kristensen AT, Sandøe P. Quality of life assessment in dogs and cats receiving chemotherapy–a review of current methods. Vet Comp Oncol. 2017;15(3):684–91.

    Article  PubMed  Google Scholar 

  12. Kotronoulas G, Kearney N, Maguire R, Harrow A, Di Domenico D, Croy S, et al. What is the value of the routine use of patient-reported outcome measures toward improvement of patient outcomes, processes of care, and health service outcomes in cancer care? A systematic review of controlled trials. J Clin Oncol. 2014;32(14):1480–510.

    Article  PubMed  Google Scholar 

  13. Basch E, Deal AM, Kris MG, Scher HI, Hudis CA, Sabbatini P, et al. Symptom monitoring with patient-reported outcomes during routine cancer treatment: a randomized controlled trial. J Clin Oncol. 2016;34(6):557.

    Article  CAS  PubMed  Google Scholar 

  14. Absolom K, Warrington L, Hudson E, Hewison J, Morris C, Holch P, et al. Phase III randomized controlled trial of eRAPID: eHealth intervention during chemotherapy. J Clin Oncol. 2021;39(7):734–47.

    Article  CAS  PubMed  Google Scholar 

  15. Lizée T, Basch E, Trémolières P, Voog E, Domont J, Peyraga G, et al. Cost-effectiveness of web-based patient-reported outcome surveillance in patients with lung cancer. J Thorac Oncol. 2019;14(6):1012–20.

    Article  PubMed  Google Scholar 

  16. Denis F, Basch EM, Lethrosne C, Pourel N, Molinier O, Pointreau Y, et al. Randomized trial comparing a web-mediated follow-up via patient-reported outcomes (PRO) vs. routine surveillance in lung cancer patients: final results. American Society of Clinical Oncology; 2018.

  17. Innes JF. How Client-Reported Outcome Measures Can Improve Veterinary Care: TODAY’s VETERINARY ORACTICE 2023 [Available from: https://todaysveterinarypractice.com/practice-management/how-client-reported-outcome-measures-can-improve-veterinary-care/#:~:text=PROMs%20can%20be%20either%20general,new%20methods%20of%20providing%20care

  18. Streiner DL, Norman GR, Cairney J. Health measurement scales: a practical guide to their development and use. Oxford University Press, USA; 2015.

  19. Prinsen CA, Mokkink LB, Bouter LM, Alonso J, Patrick DL, De Vet HC, et al. COSMIN guideline for systematic reviews of patient-reported outcome measures. Qual Life Res. 2018;27:1147–57.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Fayers P, Bottomley A, Group EQoL. Quality of life research within the EORTC—the EORTC QLQ-C30. Eur J Cancer. 2002;38:125–33.

    Article  Google Scholar 

  21. Blazeby J, Cull A, Groenvold M, Bottomley A. Guidelines for developing quality of life questionnaires. Brussels: EOETC; 2001.

    Google Scholar 

  22. Pesudovs K, Burr JM, Harley C, Elliott DB. The development, assessment, and selection of questionnaires. Optom Vis Sci. 2007;84(8):663–74.

    Article  PubMed  Google Scholar 

  23. COSMIN, Tools COSMIN. COSMIN; [Available from: https://www.cosmin.nl/tools/checklists-assessing-methodological-study-qualities/

  24. Life EQo. Module Development Guidelines: EORTC. 2021 [Available from: https://qol.eortc.org/manuals/

  25. Wintner LM, Sztankay M, Aaronson N, Bottomley A, Giesinger JM, Groenvold M, et al. The use of EORTC measures in daily clinical practice—a synopsis of a newly developed manual. Eur J Cancer. 2016;68:73–81.

    Article  PubMed  Google Scholar 

  26. Garritty C, Gartlehner G, Nussbaumer-Streit B, King VJ, Hamel C, Kamel C, et al. Cochrane Rapid Reviews Methods Group offers evidence-informed guidance to conduct rapid reviews. J Clin Epidemiol. 2021;130:13–22.

    Article  PubMed  Google Scholar 

  27. Tricco AC, Langlois E, Straus SE, Organization WH. Rapid reviews to strengthen health policy and systems: a practical guide. World Health Organization; 2017.

  28. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73.

    Article  PubMed  Google Scholar 

  29. LeBlanc AK, Atherton M, Bentley RT, Boudreau CE, Burton JH, Curran KM, et al. Veterinary cooperative oncology group—common terminology criteria for adverse events (VCOG-CTCAE v2) following investigational therapy in dogs and cats. Vet Comp Oncol. 2021;19(2):311–52.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Group VC-oO. Veterinary co-operative Oncology Group-Common Terminology Criteria for adverse events (VCOG-CTCAE) following chemotherapy or biological antineoplastic therapy in dogs and cats v1. 0. Vet Comp Oncol. 2004;2(4):195–213.

    Article  Google Scholar 

  31. Male L, Noble A, Atkinson J, Marson T. Measuring patient experience: a systematic review to evaluate psychometric properties of patient reported experience measures (PREMs) for emergency care service provision. Int J Qual Health Care. 2017;29(3):314–26.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Akiyoshi M, Hisasue M, Asakawa MG, Neo S, Akiyoshi M. Hepatosplenic lymphoma and visceral mast cell tumor in the liver of a dog with synchronous and multiple primary tumors. Vet Clin Pathol. 2022;51(3):414–21.

    Article  PubMed  Google Scholar 

  33. Fournier Q, Serra JC, Williams C, Bavcar S. Chemotherapy-induced diarrhoea in dogs and its management with smectite: results of a monocentric open-label randomized clinical trial. Vet Comp Oncol. 2021;19(1):25–33.

    Article  CAS  PubMed  Google Scholar 

  34. Mellanby R, Dobson J, Herrtage M. Quality of life of dogs with lymphoma during palliative chemotherapy. J Small Anim Pract. 2003.

  35. Matsuyama F, Harada K, Fukazawa E, Ichimata M, Nakano Y, Kobayashi T. Evaluation of adverse events in small-breed dogs treated with maropitant and a single dose of doxorubicin. J Vet Intern Med. 2022;36(4):1409–15.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Jugan MC, Wouda RM, Higginbotham ML. Preliminary evaluation of probiotic effects on gastrointestinal signs in dogs with multicentric lymphoma undergoing multi-agent chemotherapy: a randomised, placebo‐controlled study. Veterinary Record Open. 2021;8(1):e2.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Bianchi ML, Drudi D, Treggiari E, Catalucci C, Attorri V, Bonazzi I, et al. Quality of life assessment in cancer patients receiving single-agent versus multidrug chemotherapy protocols. Open Veterinary J. 2021;11(4):755–63.

    Article  Google Scholar 

  38. Hamilton MJ, Sarcornrattana O, Illiopoulou M, Xie Y, Kitchell B. Questionnaire-based assessment of owner concerns and doctor responsiveness: 107 canine chemotherapy patients. J Small Anim Pract. 2012;53(11):627–33.

    Article  CAS  PubMed  Google Scholar 

  39. Rau SE, Barber LG, Burgess KE. Efficacy of Maropitant in the Prevention of Delayed Vomiting Associated with Administration of Doxorubicin to Dogs. J Vet Intern Med. 2010;24(6):1452–7.

    Article  CAS  PubMed  Google Scholar 

  40. Bowles DB, Robson MC, Galloway PE, Walker L. Owner’s perception of carboplatin in conjunction with other palliative treatments for cancer therapy. J Small Anim Pract. 2010;51(2):104–12.

    Article  CAS  PubMed  Google Scholar 

  41. Bisson JL, Fournier Q, Johnston E, Handel I, Bavcar S. Evaluation of a 0.75 × 109/L absolute neutrophil count cut-off for antimicrobial prophylaxis in canine cancer chemotherapy patients. Vet Comp Oncol. 2020;18(3):258–68.

    Article  CAS  PubMed  Google Scholar 

  42. Lutz AT, Griza A, Machado GM, Loose U, Dahmer A, Herbert JS. Patient reported outcomes in the daily practice in clinical oncology: a systematic review. Crit Rev Oncol/Hematol. 2022;173:103658.

    Article  PubMed  Google Scholar 

  43. Collins D. Cognitive interviewing practice. Sage; 2014.

  44. Innes JF, Morton MA, Lascelles BDX. Minimal clinically-important differences for the ‘Liverpool Osteoarthritis in Dogs’(LOAD) and the ‘Canine Orthopedic Index’(COI) client-reported outcomes measures. PLoS ONE. 2023;18(2):e0280912.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Wiseman-Orr ML, Nolan AM, Reid J, Scott EM. Development of a questionnaire to measure the effects of chronic pain on health-related quality of life in dogs. Am J Vet Res. 2004;65(8):1077–84.

    Article  PubMed  Google Scholar 

  46. Montgomery N, Howell D, Ismail Z, Bartlett SJ, Brundage M, Bryant-Lukosius D, et al. Selecting, implementing and evaluating patient-reported outcome measures for routine clinical use in cancer: the Cancer Care Ontario approach. J Patient Rep Outcomes. 2020;4(1):101.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Hyland CJ, Mou D, Virji AZ, Sokas CM, Bokhour B, Pusic AL, et al. How to make PROMs work: qualitative insights from leaders at United States hospitals with successful PROMs programs. Qual Life Res. 2023;32(8):2259–69.

    Article  PubMed  Google Scholar 

  48. Salomone F, Di Costanzo F, Pecoraro G, Viscardi G, Viggiano A, Napolitano F, et al. Health-related quality of life is underestimated and underreported in phase III clinical trials in NSCLC. Lung Cancer. 2022;174:36–44.

    Article  CAS  PubMed  Google Scholar 

  49. Shanbhag S, Ambinder RF. Hodgkin lymphoma: a review and update on recent progress. Cancer J Clin. 2018;68(2):116–32.

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge with thanks the support of the Kennel Club Charitable Trust. We would also like to thank specialist librarian Erin Bloxbridge (EB) at the University of Surrey Library and Learning Services for her expert guidance on developing the search terms and strategy.

Funding

The authors acknowledge with thanks the support of the Kennel Club Charitable Trust.

Author information

Authors and Affiliations

Authors

Contributions

JH: Conceptualization; Methodology; Formal analysis; Writing - Original draft; Writing – review & editing; Supervision; Funding acquisition. QF: Conceptualization; Methodology; Writing – review & editing; Funding acquisition. KS: Data collection; Formal analysis; Writing - Original draft Methodology and results; Writing – review & editing. JA: Conceptualization; Methodology; Writing – review & editing; Funding acquisition. ER: Conceptualization; Methodology; Writing – review & editing; Funding acquisition. NB: Conceptualization; Methodology; Writing – review & editing; Supervision; Funding acquisition.

Corresponding author

Correspondence to Jenny Harris.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

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

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

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

Harris, J., Fournier, Q., Sutton, K. et al. A rapid state-of the-art review of client-reported outcomes measures used to assess dogs’ clinical signs and quality of life during chemotherapy. BMC Vet Res 21, 74 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12917-025-04522-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12917-025-04522-4

Keywords