Evaluating patient-reported outcome measures (PROMs) for clinical trials and clinical practice in adult patients with uveitis or scleritis: a systematic review – Journal of Ophthalmic Inflammation and Infection – Journal of Ophthalmic Inflammation and Infection


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Journal of Ophthalmic Inflammation and Infection volume 12, Article number: 29 (2022)
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Patient reported outcome measures (PROMs) capture impact of disease and treatment on quality of life, and have an emerging role in clinical trial outcome measurement. This study included a systematic review and quality appraisal of PROMs developed or validated for use in adults with uveitis or scleritis. We searched MEDLINE, EMBASE, PsycINFO, CINAHL and grey literature sources, to 5 November 2021. We used established quality criteria to grade each PROM instrument in multiple domains from A (high quality) to C (low quality), and assessed content development, validity, reliability and responsiveness. For instruments developed using classic test theory-based psychometric approaches, we assessed acceptability, item targeting and internal consistency. For instruments developed using Item Response Theory (IRT) (e.g. Rasch analysis), we assessed response categories, dimensionality, measurement precision, item fit statistics, differential item functioning and targeting. We identified and appraised four instruments applicable to certain uveitis types, but none for scleritis. Specifically, the National Eye Institute Visual Function Questionnaire-25 (NEI-VFQ), a 3-part PROM for Birdshot retinochoroiditis (Birdshot Disease & Medication Symptoms Questionnaire [BD&MSQ], the quality of life (QoL) impact of Birdshot Chorioretinopathy [QoL BCR], and the QoL impact of BCR medication [QoL Meds], the Kings Sarcoidosis Questionnaire (KSQ), and a PROM for cytomegalovirus retinitis. These instruments had limited coverage for these heterogeneous conditions, with a focus on very rare subtypes. Psychometric appraisal revealed considerable variability between instruments, limited content development, and only one developed using Item Response Theory. In conclusion, there are few validated PROMs for patients with uveitis and none for scleritis, and existing instruments have suboptimal psychometric performance. We articulate why we do not recommend their inclusion as clinical trial outcome measures for drug licensing purposes, and highlight an unmet need for PROMs applicable to uveitis and scleritis.
Finding effective treatments for rare diseases, and specifically, for uveitis and scleritis has been identified as a research priority by stakeholders internationally [1, 2].The acutely sight-threatening nature of these ocular inflammatory disorders, and their frequently chronic or relapsing course, means that systemic therapies are often required. Many patients have associated immune-mediated inflammatory disease (IMID), of infectious, or non-infectious (autoimmune or autoinflammatory) aetiology [3]. There have been significant advances in therapeutic options in recent years. Biologic therapies are complementing traditional use of corticosteroids and second-line immunosuppressive therapy for some indications, including non-infectious posterior, intermediate and panuveitis. Ongoing development or repurposing of biologic therapies, targeting underlying loss of immune tolerance or early instigators of the inflammatory cascade, is likely to transform management [4]. Treatments, whether initiated for eye disease, or an associated IMID, must be assessed for their multisystem benefits and side effects. There is clear need to consider patients holistically and to take a multidisciplinary, multispecialty approach to care and outcome measurement that extends beyond traditional visual function and ocular imaging measures.
There has been growing focus on patient-centred definitions of efficacy, and better integration of the patient voice into research priority setting, outcomes design, and routine clinical practice in ophthalmology [5,6,7]. A patient reported outcome measure (PROM) facilitates quantitative capture of the subjectively experienced impacts of disease and its treatment (See Table 1 Glossary). For PROMs to be useful and acceptable, especially for drug marketing authorisation [7, 8], they need to be targeted to the constructs of interest, possess sound psychometric performance properties (e.g. as assessed using Item Response Theory models), and be valid, reliable, responsive and acceptable to users [9].Well-designed PROMs yield an interval-scaled measure for each quality of life domain measured, which is amenable to quantitative statistical analysis, and thus of tremendous value to clinicians and researchers [10].
There is a pressing need for robust PROMs in inflammatory eye disease [6]. Denniston et al. reviewed uveitis clinical trials and reported that none included a PROM as the primary outcome measure [11]. More recent uveitis trials (e.g. SYCAMORE, VISUAL I and VISUAL II, MUST) include a variety of generic and vision-specific PROMs [12,13,14,15,16]. This timely systematic review aimed to identify and psychometrically evaluate the quality of all PROMs developed or validated in adults with scleritis or uveitis.
The methodology followed our published PROSPERO protocol (CRD42019151652) [17]. The systematic review is reported in line with PRISMA guidance [17, 18].
We systematically searched the following electronic databases on 5 November 2021: MEDLINE (Ovid), EMBASE(Ovid), PsycINFO (Ovid) and CINAHL Plus (EBSCO). The search strategy combined index and free text terms for the clinical entities, and terms relating to quality of life, health status indicators or patient-reported outcomes, with no restrictions on the language or year of publication (See supplement). The MEDLINE search strategy was adapted for use on all databases. We screened references of included studies, to identify any additional instruments. Where multiple studies referenced the same PROM, we searched citations to obtain the study reporting the original PROM’s development and any subsequent revisions and reports relating to instrument quality appraisal or validation.
We included studies reporting content identification, development, psychometric assessment, or validation of PROMs to assess the impact of uveitis or scleritis alone, or in combination, in adult patients. We included broad search terms for patient-reported outcomes and ‘quality of life’, considering ‘quality of life’ as an umbrella term including multiple domains (see Table 1). We sought studies that used valid disease-relevant content development methods such as structured/semi-structured interviews, focus groups and/or literature reviews, but did not exclude validation studies with weaker content development (e.g. expert opinion). We excluded editorials, reviews, conference abstracts and studies reporting instruments developed solely for use in children. We excluded studies reporting the use, but not the development of a PROM.
For each included study, we extracted study characteristics (publication year, citation, country/region, sample size) and characteristics of patients on whom the instrument was developed / assessed / validated. This included disease type(s) and subtypes, age, sex, ethnicity, and, if reported, the proportion of patients on systemic antimicrobial or anti-inflammatory therapy. We extracted the name of the PROM, the QoL domains covered, the number of items in each domain, and any subtypes of uveitis or scleritis covered by the PROM.
Search results were uploaded to Endnote X9 (Clarivate Analytics). All titles and abstracts were screened by two independent reviewers (TB and XL/CO), to remove irrelevant articles. Full text articles were obtained for studies that potentially met eligibility criteria. Abstracts that did not provide the reviewers with sufficient information to make a decision were taken forward for full-text screening, to minimise the risk of missing a potentially relevant article. At any stage, if the reviewers were unable to reach consensus, an additional reviewer was consulted (KP). Two reviewers (TB and OLA/JP/CO) independently extracted data from studies meeting the inclusion criteria, using a standardised form.
Two reviewers (TB and OLA/CO), with adjudication by a third (KP), considered the overall extent to which the instrument’s items were relevant to uveitis or scleritis, based on the patient samples used for item identification and development, and for instrument validation. We graded this as very relevant, somewhat relevant, or not very relevant.
We assessed the quality of each identified PROM using established quality criteria (see Supplementary Table 1 definitions), adapted from the US Food and Drug Administration framework and guidelines [19], and COSMIN Standards for the selection of health status Measurement Instruments [20, 21], grading each of multiple domains from A (high quality) to C (low quality) [22]. The framework has been used previously to appraise the quality of PROMs in ophthalmology [9, 23], including retinal disease [23], cataract [24], refractive surgery [25], refractive error [26], amblyopia and strabismus [27] and keratoconus [28]. We reviewed instrument content development, and appraised item identification and item selection. For item identification we assigned a grade ‘A’ for, “comprehensive consultation with patients,” if a sufficient number (i.e. more than 30) of relevant patients were included to achieve content saturation [29]. For item selection, we assigned a grade ‘A’, based on the COSMIN guidelines, if the pilot instrument contained more than 7 times the number of patients than items in the instrument (or in the case of multidimensional instrument, 7 times the number of items in the largest domain representing a unidimensional construct); if the patient sample was fewer than 5 times the number of items we graded this domain ‘inadequate’ (grade ‘C’) [30].
For instruments developed using classic test theory-based psychometric approaches, we assessed acceptability, item targeting and internal consistency, but we highlighted as a limitation that more modern psychometric approaches had not been considered (highlighting Table 2 cells in red for ‘not done’). For instruments developed using the more rigorous Item Response Theory (IRT) (e.g. Rasch analysis) approaches, we assessed response categories, dimensionality, measurement precision, item fit statistics, differential item functioning and targeting [10].
In both study types, we assessed validity (concurrent, convergent, discriminant and known group validity), reliability (test–retest) and responsiveness (See Supplementary Table 1 for definitions). Where the patient sample used to validate the instrument was not independent from the sample used to develop it (across one or more published papers) we highlighted this as a limitation of the instrument.
We present the instruments developed for uveitis or scleritis, and any disease-specific causes separately.
The systematic search of bibliographic databases and cited references identified 3876 hits, reducing to 3412 after removal of duplicates. The study selection process is presented in Fig. 1. In total, for uveitis, we identified seven studies reporting four instruments. Specifically, an instrument developed and validated for Birdshot retinochoroiditis, an instrument developed and validated for cytomegalovirus retinitis associated with HIV infection, an instrument developed and validated for sarcoidosis (including ocular sarcoidosis, a cause of uveitis), and an instrument validated for non-infectious posterior and intermediate uveitis (using a previously developed vision-specific instrument).
PRISMA flow diagram
No studies reported instruments for scleritis [31,32,33,34,35,36,37].
Table 2 summarises the characteristics of the included studies. Table 2 summarises the findings comparing the psychometric quality appraisal of included uveitis studies, against our predefined criteria (eTable 1). A justification of each grading assigned is available (Supplementary Table 2).
The original National Eye Institute Visual Function Questionnaire-25 (NEI VFQ-25) was developed between 1994 and 1998 for English-speaking adults aged >  = 21 years with vision impairment from age-related macular degeneration, cataract, diabetic neuropathy, glaucoma or cytomegalovirus retinitis (a type of infectious pan or posterior uveitis), following initial content development with multi-condition focus groups [38, 39]. A total of 262 patients were recruited from 5 academic centres, then a further 597 people were recruited in 1996 from multi-condition focus groups (only 5% n= 37/597 had cytomegalovirus retinitis). The original 51-item instrument was developed from a 96-item pilot instrument, and took 15 min to administer. The shorter 25-item NEI VFQ-25 was developed in 2001 [35]. This included 11 vision-related subscales (general vision, near vision, distance vision, driving, peripheral vision, colour vision, ocular pain, vision-specific role difficulties, vision-specific dependency, vision-specific social functioning, and vision-specific mental health) and one general health item. Each subscale was scored so that 0 represented the lowest and 100 the best possible score.
We graded the original NEI VFQ-25 with ‘A’ for item selection in its intended purpose, as an eye disease-generic vision-specific tool. However, as a uveitis-applicable tool we graded the instrument ‘C’. It is critical to note that the majority of focus group participants had other ophthalmic conditions, and those with uveitis had a rare and specific type of uveitis (CMV retinitis associated with HIV infection). Based on the item development process we would anticipate poor generalisability to uveitis in general, given few ‘appropriate patients’ for uveitis. We scored NEI VFQ-25 ‘A’ for internal consistency based on classic test theory, but ‘B’ for acceptability and ‘C’ for targeting. All 4 types of validity were assessed, but only concurrent and known group validity were graded ‘A’ in this tool’s capacity as an eye disease-generic vision-specific instrument, with convergent validity graded ‘B’ and discriminant validity graded ‘C’. However, the validation was not specific to uveitis.
We identified three papers by Naik et al. which sought to validate use of the NEI VFQ-25 for non-infectious intermediate and posterior uveitis. Two reports from one study used secondary analysis of data (n= 224) from the HURON trial, a multicentre Phase 3 randomised controlled trial (RCT) assessing the efficacy and safety of dexamethasone intravitreal implant (Ozurdex) compared to sham [37]. This validation study did not include any item generation, perpetuating the limitations of the earlier instrument. We graded the instrument ‘A’ for internal consistency based on CTT approaches, but targeting and acceptability were not reported. Known group validity was graded ‘A’ but convergent and concurrent validity ‘C’, with no assessment of discriminant validity. Based on an additional study report with comparison to normative data from a normal reference population (n= 122) we revised the grading of convergent validity to ‘A’ [36].
We identified one study by Barry et al. reporting a PROM for Birdshot retinochoroiditis including three domains; the Birdshot Disease & Medication Symptoms Questionnaire (BD&MSQ, 43 items in pilot, 21 in final); the QoL impact of Birdshot Chorioretinopathy (BCR) disease (QoL BCR, 25 items in pilot, 20 in finals); and the QoL impact of BCR medication (QoL Meds, 25 items in pilot, 12 in final) [31]. Content development was limited to an expert panel of two patients, one ophthalmologist and a psychologist, and did not explicitly reference a literature review (although it is highly unlikely there was any relevant prior literature for this rare disease). Instrument development used factor analysis to identify subscales from the responses of eight patient volunteers and one normal control, before validation in a larger sample of 150 patient volunteers recruited via the UK’s national patient support group. However, the factor analysis used for item selection was arguably invalid, including an insufficient number of responses from only 8 patients (more questions than people) so we downgraded this to C. We graded the internal consistency ‘A’, but judged approaches to item identification and assessment of acceptability to be Grade B. The study assessed 2 out of 4 domains of validity well (Grade A), but did not assess temporal responsiveness/reliability.
The 18-item instrument for patients with cytomegalovirus (CMV) retinitis associated with acquired immunodeficiency syndrome (AIDS) was developed in 1992 for the ‘Ocular Complications of AIDS Foscarnet-Ganciclovir CMV Retinitis’ Trial [32]. The key limitations of this instrument were that, whilst some qualitative research was undertaken, most of the 44 items in the pilot instrument were repurposed from other non-relevant studies including the Visual Function-14 (VF-14) instrument, developed to assess visual function and symptoms in patients with cataracts [40]; the Medical Outcomes Study Short Form [41]; and the SF-36 [42]., and Classic Test Theory approaches were used to develop the final 18-item instrument. Martin et al. subsequently validated the CMV retinitis-specific QoL instrument [32], in an independent sample of 279 patients included in the CRRT multicentre, randomized controlled trial of intravenous foscarnet, intravenous ganciclovir and combination treatment for relapsed CMV retinitis. We again graded the instrument validation data with A for internal consistency using the CTT approach, and A for concurrent validity, with this study adding convergent validity (Grade A), and responsiveness (Grade A), but revealing poor targeting (Grade C).
The 29-item King’s Sarcoidosis Questionnaire (KSQ) developed in 2011 assessed impact of sarcoidosis and its treatment on ocular symptoms (7 items) and general health state (10 items), amongst others, in the past 2 weeks. (34) This was the only instrument we identified which used IRT (the Rasch model) for item selection and instrument development, and which confirmed good score repeatability 2 weeks later. We assessed the ocular item set specifically, and felt this performed well in most aspects of the quality appraisal (Table 3 and eTable 2). Key limitations were that: content was developed from interviews with just 7 ocular sarcoidosis patients (with uveitis subtype unspecified), which we felt was unlikely to be sufficient to achieve content saturation; the patient sample (n = 207) was small for the initial 65 items under investigation; and the validation study of the final 29-item instrument did not use an independent sample.
This systematic review identified a paucity of disease-specific PROMs for use in uveitis (n = 4) and no PROMs for scleritis. There was very limited coverage of relevant diseases to ocular inflammatory disease phenotypes, with focus on cytomegalovirus retinitis associated with HIV infection (which was an important concern at the time, but is now a rare presentation thanks to anti-retroviral therapy), sarcoidosis, and Birdshot retinochoroiditis. No PROM covered the most frequent manifestation of inflammatory eye disease, namely, anterior uveitis. This aligned with our expectation, given the lack of inclusion of disease-specific PROMs in recent and currently ongoing RCTs.
Our quality appraisal revealed numerous limitations of the available instruments, with few instruments scoring a good grade ‘A’ in multiple domains. In contrast to other areas of ophthalmic PROM development, contemporary psychometric approaches incorporating item response theory have seldom been used in uveitis PROMs; the notable exception was the KSQ which was developed by respiratory physicians, for use aligned to the systemic condition rather than ocular sarcoidosis per se. Petrillo and colleagues argue that there are multiple issues with using classic test theory for psychometric evaluations [43]. Specifically, analysis is not based on interval-level measurement but on counts (summary scores of items), findings are dependent on the scale and sample, missing data cannot be handled easily, and the standard error of measurement around individual patient scores are assumed to have a constant value. Contemporary psychometric tools, such as Rasch Measurement Theory, permit a more robust approach to examination of validity and interpretability. This is recommended, especially if a PROM is being developed for the high-stakes situation of a pharmaceutical labelling claim. Many of these studies were developed and validated many years before the widespread application of COSMIN guidelines and IRT-based quality appraisal tools, and so it is not surprising that these older studies have been assessed to have suboptimal quality by contemporary standards. It is worth noting that not all the quality assessment criteria in eTable 1 are of equal value and importance. The possession of interval scaling and Rasch validity (especially precision and unidimensionality) is much more important than assessments of validity, reliability, or acceptability. For without interval scaling, the PROM is effectively not quantitative and therefore it will not find impactful applications.
Consideration of the NEI VFQ-25 helps to illustrate these points. The NEI VFQ-25 was not developed for uveitis specifically (5% of people providing content input had intermediate or posterior uveitis resulting from CMV infection in HIV) [44]. It has been frequently included as a secondary outcome measure in clinical trials in ophthalmology, and in uveitis [6]. However, multiple studies have psychometrically evaluated the NEI VFQ-25 in patients with different ocular conditions and the general population, and have identified major shortcomings with respect to reliability, validity and dimensional structure [45,46,47,48,49]. Exploring data from 2487 patients with retinal disease, Petrillo et al. reported that the NEI-VFQ-25 contained disordered response thresholds (15/25 items) and mis-fitting items (8/25 items) [50]. The psychometric performance has been similarly critiqued in low vision and cataract populations, with studies identifying only two unidimensional scales individually fitting the Rasch model [47, 48].A Rasch re-engineered NEI VFQ with two domains and fewer items has been developed [48, 49], but has not been validated in uveitis or scleritis. The FDA have noted the lack of validated PROMs in ophthalmology, and indicated that none of those used in trials to date would be considered acceptable for drug licensing purposes [51].
A further general theme emerging from this review was the exceedingly small number of patients interviewed to obtain item content for inclusion, ranging from 2 (Birdshot retinochoroiditis PROM) to 37 in NEI-VFQ [31, 52].This likely reflects the resources and expertise needed to conduct this form of qualitative research. Typically, the COSMIN guidelines suggest that more than 100 relevant patients are needed to develop ‘very good’ content for a structurally valid PROM (at least 7 times the number of items); whereas if the patient sample is fewer than 5 times the number of items in the instrument to be validated, this is ‘inadequate’ [30]. A key unanswered question is whether PROMs, developed without extensive content identification in far larger numbers of patients, have adequate external generalisability to other settings (different countries, demographics, disease subtypes and treatments). Furthermore, we note that the quality appraisal criteria (Supplementary Table 1) do not account for whether the patients included in content development were relevant to the outcome of interest for which their quality is being appraised.
Also evident was a historic desire for short instruments with completion times around five minutes to minimise participant burden, in the context of clinical trial examination protocols. Quality appraisal indicates that this focus on speed may have come at the cost of psychometric instrument performance. Evidence suggests there are at least 10 domains of quality of life relevant to people with ophthalmic diseases, extending beyond, but including symptoms of disease (see Table 1). Each domain of interest needs to be measured with a sufficient number of items, spread out on an interval scale, to yield a precise measure for that domain. This is impossible when only one item is included per scale, and the measure is likely to have low precision and reliability when only a few items are included per domain. Fortunately, the advent of computer adaptive testing offers a solution to the ‘time burden’ problem [53, 54].
The unmet need for PROMs in inflammatory eye disease is problematic. The recent SARS-coronavirus-19 global pandemic has ushered in a period of accelerated service transformation in the National Health Service and health systems internationally. This is driving major shifts towards virtual review and remote monitoring and in this context, PROMs could have an important role to play. PROMs improve patient satisfaction with care, symptom management, quality of life and survival rates [55]. The integration of PROM data through technological infrastructure has progressed rapidly leading to the incorporation of internet-based applications, touchscreen tablets and electronic health records into clinical care [56]. For clinicians, PROM collection has been shown to enhance shared decision making by allowing the clinicians to better understand the patient’s symptoms and impact on their quality of life. Furthermore, it can enhance workflow efficiency and save time when used regularly, e.g. by using the limited clinic time to explore a particular symptom burden highlighted from the instrument [57].
Strengths of this systematic review include adhering to sound systematic review methodology including a comprehensive search for published PROMs and robust quality appraisal of identified instruments. However, we did not extensively search the grey literature or conference abstracts. This means that we might have overlooked reports of unpublished PROMs under current development. Our assessment is that it would be very unlikely that extending to these less developed tools and grey literature would have resulted in the identification and inclusion of any high quality, complete PROMs not identified through the main search. Also, we did not conduct a separate search for all of the immune-mediated inflammatory diseases with which uveitis and scleritis may be associated, or an explicit search for symptom measures. Sets of relevant questions for uveitis or scleritis contained within PROMs designed for associated systemic diseases (e.g. the KSQ), or limited to symptoms, may have been overlooked.
Limitations of the quality criteria we used (eTable 1) were that they held studies that used more modern IRT approaches with PCA to a higher level of account in the grading scheme, than studies which used older and more simple classic test theory approaches. Also, they did not emphasise the relative level of importance of the criteria to one another. Furthermore, the quality criteria did not require assessment of whether or not the patient samples used to develop and to validate a PROM were independent, which is important, so we recommend the inclusion of this as an additional item.
The potential value of using a PROM with strong psychometric performance as a trial endpoint cannot be understated. Not only do these permit alignment with the outcomes that most matter to patients, but there are major resource implications. Narrow standard errors around an outcome measure permit recruitment of smaller samples, with major cost saving for trial funders. We identified few PROMs, most of which were developed many years ago and without the benefit of contemporary psychometric approaches. The King’s Sarcoidosis Questionnaire was a notable exception, with the 17-item unidimensional Eye-General Health Status module appearing promising for trials in ocular sarcoidosis, although validation in an independent sample would first be recommended. Based on our quality appraisal, we are not able to recommend any of the currently available PROMs for therapeutic trials in uveitis, or scleritis.
Further research to develop robust PROMs for inflammatory eye disease is needed. This would help to address priorities articulated through patient and stakeholder research priority setting initiatives internationally. Namely, to identify, through robust outcome measurement, more effective therapies for rare diseases, including inflammatory eye disease. It will be important for future PROMs to adhere to guidance from the FDA on PROM development [58]. Larger samples of patients are generally needed for content identification and instrument development than have been used in the uveitis PROMs reported here, and these patients should be representative of the clinical phenotypes eligible for the trial. Future studies must ensure independence of development and validation samples, and recruit a sufficient sample size (> 7 × patients than number of items in largest unidimensional scale) for robust psychometric development using the item response theory approach. Investigators may also find the PROTEUS, SPIRIT-PRO and CONSORT-PRO guidelines on the selection and reporting of PROMs for clinical trials helpful [58,59,60,61].
The challenge of developing PROMs, and the dearth of their availability for rare disease areas is well recognised, and applicable to an estimated 5000 to 8000 distinct rare diseases [55, 62]. This systematic review highlights an important, unmet need for the development and validation of PROMs that are able to measure the impact of uveitis or scleritis, and their treatment, on multiple domains of quality of life. Demand for robust PROMs in inflammatory eye disease is anticipated to rise as not only patients and clinicians [57], but regulators, payers, accreditors, and professional organisations recognise their potential value [56]. Given the time and cost taken to develop a new PROM, and the increasingly important role for PROMs both in clinical trials and the modern health service, further research is needed to identify novel ways to reduce the multiple barriers to their development and wider generalisability. This will be essential to capture the outcomes that really matter to people living with these diseases.
Not applicable.
EOfR D (2011) Patients’ Priorities and Needs for Rare Diseases Research 2014–2020
Google Scholar 
Rowe F, Wormald R, Cable R, Acton M, Bonstein K, Bowen M et al (2014) The Sight Loss and Vision Priority Setting Partnership (SLV-PSP): overview and results of the research prioritisation survey process. BMJ Open 4(7):e004905
PubMed  PubMed Central  Article  Google Scholar 
Braithwaite T, Subramanian A, Petzold A, Galloway J, Adderley NJ, Mollan SP et al (2020) Trends in Optic Neuritis Incidence and Prevalence in the UK and Association With Systemic and Neurologic Disease. JAMA Neurol 77(12):1514–1523
PubMed  Article  Google Scholar 
Baker KF, Isaacs JD (2018) Novel therapies for immune-mediated inflammatory diseases: What can we learn from their use in rheumatoid arthritis, spondyloarthritis, systemic lupus erythematosus, psoriasis, Crohn’s disease and ulcerative colitis? Ann Rheum Dis 77(2):175–187
CAS  PubMed  Article  Google Scholar 
Dean S, Mathers JM, Calvert M, Kyte DG, Conroy D, Folkard A et al (2017) “The patient is speaking”: discovering the patient voice in ophthalmology. Br J Ophthalmol 101(6):700–708
PubMed  Article  Google Scholar 
Braithwaite T, Calvert M, Gray A, Pesudovs K, Denniston AK (2019) The use of patient-reported outcome research in modern ophthalmology: impact on clinical trials and routine clinical practice. Patient Relat Outcome Meas 10:9–24
PubMed  PubMed Central  Article  Google Scholar 
USFaD A. Patient-focused drug development guidance series for enhancing the incorporation of the patient’s voice in medical product development and regulatory decision making. : FDA; 2020 [https://www.fda.gov/drugs/development-approval-process-drugs/fda-patient-focused-drug-development-guidance-series-enhancing-incorporation-patients-voice-medical].
Patrick DL, Burke LB, Powers JH, Scott JA, Rock EP, Dawisha S et al (2007) Patient-reported outcomes to support medical product labeling claims: FDA perspective. Value Health 10(Suppl 2):S125–S137
PubMed  Article  Google Scholar 
Khadka J, McAlinden C, Pesudovs K (2013) Quality assessment of ophthalmic questionnaires: review and recommendations. Optom Vis Sci 90(8):720–744
PubMed  Article  Google Scholar 
Stover AM, McLeod LD, Langer MM, Chen WH, Reeve BB (2019) State of the psychometric methods: patient-reported outcome measure development and refinement using item response theory. J Patient Rep Outcomes 3(1):50
PubMed  PubMed Central  Article  Google Scholar 
Denniston AK, Holland GN, Kidess A, Nussenblatt RB, Okada AA, Rosenbaum JT et al (2015) Heterogeneity of primary outcome measures used in clinical trials of treatments for intermediate, posterior, and panuveitis. Orphanet J Rare Dis 10:97
PubMed  PubMed Central  Article  Google Scholar 
Ramanan AV, Dick AD, Benton D, Compeyrot-Lacassagne S, Dawoud D, Hardwick B et al (2014) A randomised controlled trial of the clinical effectiveness, safety and cost-effectiveness of adalimumab in combination with methotrexate for the treatment of juvenile idiopathic arthritis associated uveitis (SYCAMORE Trial). Trials 15:14
PubMed  PubMed Central  Article  CAS  Google Scholar 
Sheppard J, Joshi A, Betts KA, Hudgens S, Tari S, Chen N et al (2017) Effect of Adalimumab on Visual Functioning in Patients With Noninfectious Intermediate Uveitis, Posterior Uveitis, and Panuveitis in the VISUAL-1 and VISUAL-2 Trials. JAMA Ophthalmol 135(6):511–518
PubMed  PubMed Central  Article  Google Scholar 
Ramanan AV, Dick AD, Jones AP, Guly C, Hardwick B, Hickey H et al (2018) A phase II trial protocol of Tocilizumab in anti-TNF refractory patients with JIA-associated uveitis (the APTITUDE trial). BMC Rheumatol 2:4
PubMed  PubMed Central  Article  Google Scholar 
University of Bristol BTC (2020) Adalimumab vs placebo as add-on to Standard Therapy for autoimmune Uveitis: Tolerability, Effectiveness and cost-effectiveness: a randomized controlled trial
Google Scholar 
Multicenter Uveitis Steroid Treatment Trial Research G, Kempen JH, Altaweel MM, Holbrook JT, Jabs DA, Sugar EA (2010) The multicenter uveitis steroid treatment trial: rationale, design, and baseline characteristics. Am J Ophthalmol. 149(4):550–61 e10
Article  CAS  Google Scholar 
Braithwaite TL XP, J; Aiyegbusi O.L; Bayliss, S; Calvert, M; Pesudovs, K; Moore, D; Denniston, A. Measurement properties of patient-reported outcome measures (PROMs) used in adult patients with ocular immune-mediated inflammatory diseases (uveitis, scleritis or optic neuritis): a systematic review: PROSPERO 2019 [https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019151652].
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD et al (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:n71
PubMed  PubMed Central  Article  Google Scholar 
FaDAF UDoHaHS. Guidance for Industry: Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labelling Claims 2009 [http://www.fda.gov/downloads/Drugs/Guidances/UCM193282.pdf ].
Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL et al (2010) The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes. J Clin Epidemiol 63(7):737–745
PubMed  Article  Google Scholar 
Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL et al (2010) The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: an international Delphi study. Qual Life Res 19(4):539–549
PubMed  PubMed Central  Article  Google Scholar 
Prem Senthil M, Khadka J, Pesudovs K (2017) Assessment of patient-reported outcomes in retinal diseases: a systematic review. Surv Ophthalmol 62(4):546–582
PubMed  Article  Google Scholar 
Pesudovs K, Burr JM, Harley C, Elliott DB (2007) The development, assessment, and selection of questionnaires. Optom Vis Sci 84(8):663–674
PubMed  Article  Google Scholar 
Lundstrom M, Pesudovs K (2009) Catquest-9SF patient outcomes questionnaire: nine-item short-form Rasch-scaled revision of the Catquest questionnaire. J Cataract Refract Surg 35(3):504–513
PubMed  Article  Google Scholar 
Kandel H, Khadka J, Goggin M, Pesudovs K (2017) Patient-reported Outcomes for Assessment of Quality of Life in Refractive Error: A Systematic Review. Optom Vis Sci 94(12):1102–1119
PubMed  Article  Google Scholar 
Kandel H, Khadka J, Lundstrom M, Goggin M, Pesudovs K (2017) Questionnaires for Measuring Refractive Surgery Outcomes. J Refract Surg 33(6):416–424
PubMed  Article  Google Scholar 
Kumaran SE, Khadka J, Baker R, Pesudovs K (2018) Patient-reported outcome measures in amblyopia and strabismus: a systematic review. Clin Exp Optom 101(4):460–484
PubMed  Article  Google Scholar 
Kandel H, Pesudovs K, Watson SL (2020) Measurement of Quality of Life in Keratoconus. Cornea 39(3):386–393
PubMed  Article  Google Scholar 
Hennink MM, Kaiser BN, Weber MB (2019) What Influences Saturation? Estimating Sample Sizes in Focus Group Research. Qual Health Res 29(10):1483–1496
PubMed  PubMed Central  Article  Google Scholar 
Mokkink LB, de Vet HCW, Prinsen CAC, Patrick DL, Alonso J, Bouter LM et al (2018) COSMIN Risk of Bias checklist for systematic reviews of Patient-Reported Outcome Measures. Qual Life Res 27(5):1171–1179
CAS  PubMed  Article  Google Scholar 
Barry JA, Folkard A, Denniston AK, Moran E, Ayliffe W (2014) Development and validation of quality-of-life questionnaires for birdshot chorioretinopathy. Ophthalmology. 121(7):1488–9 e2
PubMed  Article  Google Scholar 
Wu AW, Coleson LC, Holbrook J, Jabs DA (1996) Measuring visual function and quality of life in patients with cytomegalovirus retinitis. Development of a questionnaire. Studies of Ocular Complication of AIDS Research Group. Arch Ophthalmol. 114(7):841–7
CAS  PubMed  Article  Google Scholar 
Martin BK, Kaplan Gilpin AM, Jabs DA, Wu AW (2001) Studies of Ocular Complications of ARG. Reliability, validity, and responsiveness of general and disease-specific quality of life measures in a clinical trial for cytomegalovirus retinitis. J Clin Epidemiol. 54(4):376–86
CAS  PubMed  Article  Google Scholar 
Patel AS, Siegert RJ, Creamer D, Larkin G, Maher TM, Renzoni EA et al (2013) The development and validation of the King’s Sarcoidosis Questionnaire for the assessment of health status. Thorax 68(1):57–65
PubMed  Article  Google Scholar 
Mangione CM, Lee PP, Gutierrez PR, Spritzer K, Berry S, Hays RD et al (2001) Development of the 25-item National Eye Institute Visual Function Questionnaire. Arch Ophthalmol 119(7):1050–1058
CAS  PubMed  Article  Google Scholar 
Naik RK, Rentz AM, Foster CS, Lightman S, Belfort R Jr, Lowder C et al (2013) Normative comparison of patient-reported outcomes in patients with noninfectious uveitis. JAMA Ophthalmol 131(2):219–225
PubMed  Article  Google Scholar 
Naik RK, Gries KS, Rentz AM, Kowalski JW, Revicki DA (2013) Psychometric evaluation of the National Eye Institute Visual Function Questionnaire and Visual Function Questionnaire Utility Index in patients with non-infectious intermediate and posterior uveitis. Qual Life Res 22(10):2801–2808
PubMed  Article  Google Scholar 
Mangione CM, Berry S, Spritzer K, Janz NK, Klein R, Owsley C et al (1998) Identifying the content area for the 51-item National Eye Institute Visual Function Questionnaire: results from focus groups with visually impaired persons. Arch Ophthalmol 116(2):227–233
CAS  PubMed  Article  Google Scholar 
Mangione CM, Lee PP, Pitts J, Gutierrez P, Berry S, Hays RD (1998) Psychometric properties of the National Eye Institute Visual Function Questionnaire (NEI-VFQ). NEI-VFQ Field Test Investigators Arch Ophthalmol 116(11):1496–1504
CAS  PubMed  Google Scholar 
Steinberg EP, Tielsch JM, Schein OD, Javitt JC, Sharkey P, Cassard SD et al (1994) The VF-14. An index of functional impairment in patients with cataract. Arch Ophthalmol. 112(5):630–8
CAS  PubMed  Article  Google Scholar 
Stewart AL, Hays RD, Ware JE Jr (1988) The MOS short-form general health survey Reliability and validity in a patient population. Med Care. 26(7):724–35
CAS  PubMed  Article  Google Scholar 
Ware JE Jr, Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 30(6):473–83
PubMed  Article  Google Scholar 
Petrillo J, Cano SJ, McLeod LD, Coon CD (2015) Using classical test theory, item response theory, and Rasch measurement theory to evaluate patient-reported outcome measures: a comparison of worked examples. Value Health 18(1):25–34
PubMed  Article  Google Scholar 
Devine JHK, Skup M, Chao J, Ganguli A, Sheppard J (2015) Establishing content validity for the National Eye Institute’s Visual Function Questionnaire (VFQ-25) in intermediate, posterior, and panuveitis. Qual Life Res 24:159
Google Scholar 
Globe D, Varma R, Azen SP, Paz S, Yu E, Preston-Martin S et al (2003) Psychometric performance of the NEI VFQ-25 in visually normal Latinos: the Los Angeles Latino Eye Study. Invest Ophthalmol Vis Sci 44(4):1470–1478
PubMed  Article  Google Scholar 
Suner IJ, Kokame GT, Yu E, Ward J, Dolan C, Bressler NM (2009) Responsiveness of NEI VFQ-25 to changes in visual acuity in neovascular AMD: validation studies from two phase 3 clinical trials. Invest Ophthalmol Vis Sci 50(8):3629–3635
PubMed  Article  Google Scholar 
Marella M, Pesudovs K, Keeffe JE, O’Connor PM, Rees G, Lamoureux EL (2010) The psychometric validity of the NEI VFQ-25 for use in a low-vision population. Invest Ophthalmol Vis Sci 51(6):2878–2884
PubMed  Article  Google Scholar 
Pesudovs K, Gothwal VK, Wright T, Lamoureux EL (2010) Remediating serious flaws in the National Eye Institute Visual Function Questionnaire. J Cataract Refract Surg 36(5):718–732
PubMed  Article  Google Scholar 
Lloyd AJ, Loftus J, Turner M, Lai G, Pleil A (2013) Psychometric validation of the Visual Function Questionnaire-25 in patients with diabetic macular edema. Health Qual Life Outcomes 11:10
PubMed  PubMed Central  Article  Google Scholar 
Petrillo J, Bressler NM, Lamoureux E, Ferreira A, Cano S (2017) Development of a new Rasch-based scoring algorithm for the National Eye Institute Visual Functioning Questionnaire to improve its interpretability. Health Qual Life Outcomes 15(1):157
PubMed  PubMed Central  Article  Google Scholar 
Braithwaite T, Davis N, Galloway J (2019) Cochrane corner: why we still don’t know whether anti-TNF biologic therapies impact uveitic macular oedema. Eye (Lond) 33(12):1830–1832
Article  Google Scholar 
Moore P, Jackson C, Mutch K, Methley A, Pollard C, Hamid S et al (2016) Patient-reported outcome measure for neuromyelitis optica: pretesting of preliminary instrument and protocol for further development in accordance with international guidelines. BMJ Open 6(9):e011142
CAS  PubMed  PubMed Central  Article  Google Scholar 
Khadka J, Fenwick E, Lamoureux E, Pesudovs K (2016) Methods to Develop the Eye-tem Bank to Measure Ophthalmic Quality of Life. Optom Vis Sci 93(12):1485–1494
PubMed  Article  Google Scholar 
Fenwick EK, Barnard J, Gan A, Loe BS, Khadka J, Pesudovs K et al (2020) Computerized Adaptive Tests: Efficient and Precise Assessment of the Patient-Centered Impact of Diabetic Retinopathy. Transl Vis Sci Technol 9(7):3
PubMed  PubMed Central  Article  Google Scholar 
Slade A, Isa F, Kyte D, Pankhurst T, Kerecuk L, Ferguson J et al (2018) Patient reported outcome measures in rare diseases: a narrative review. Orphanet J Rare Dis 13(1):61
PubMed  PubMed Central  Article  Google Scholar 
Jensen RE, Rothrock NE, DeWitt EM, Spiegel B, Tucker CA, Crane HM et al (2015) The role of technical advances in the adoption and integration of patient-reported outcomes in clinical care. Med Care 53(2):153–159
PubMed  PubMed Central  Article  Google Scholar 
Rotenstein LS, Huckman RS, Wagle NW (2017) Making Patients and Doctors Happier – The Potential of Patient-Reported Outcomes. N Engl J Med 377(14):1309–1312
PubMed  Article  Google Scholar 
FD A. Patient-Focused Drug Development Guidance Series for Enhancing the Incorporation of the Patient’s Voice in Medical Product Development and Regulatory Decision Making 2020 [https://www.fda.gov/drugs/development-approval-process-drugs/fda-patient-focused-drug-development-guidance-series-enhancing-incorporation-patients-voice-medical].
Crossnohere NL, Brundage M, Calvert MJ, King M, Reeve BB, Thorner E et al (2021) International guidance on the selection of patient-reported outcome measures in clinical trials: a review. Qual Life Res 30(1):21–40
PubMed  Article  Google Scholar 
Calvert M, Kyte D, Mercieca-Bebber R, Slade A, Chan AW, King MT et al (2018) Guidelines for Inclusion of Patient-Reported Outcomes in Clinical Trial Protocols: The SPIRIT-PRO Extension. JAMA 319(5):483–494
PubMed  Article  Google Scholar 
Calvert M, Brundage M, Jacobsen PB, Schunemann HJ, Efficace F (2013) The CONSORT Patient-Reported Outcome (PRO) extension: implications for clinical trials and practice. Health Qual Life Outcomes 11:184
PubMed  PubMed Central  Article  Google Scholar 
Benjamin K, Vernon MK, Patrick DL, Perfetto E, Nestler-Parr S, Burke L (2017) Patient-Reported Outcome and Observer-Reported Outcome Assessment in Rare Disease Clinical Trials: An ISPOR COA Emerging Good Practices Task Force Report. Value Health 20(7):838–855
PubMed  Article  Google Scholar 
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Charles O’Donovan and Jesse Panthagani are shared first authors.
David Moore and Tasanee Braithwaite are shared senior authors.
School of Immunology and Microbiology, King’s College London, London, England
Charles O’Donovan & Tasanee Braithwaite
University Hospitals Birmingham, Birmingham, England
Jesse Panthagani
Centre for Patient Reported Outcomes Research (CPROR), Institute of Applied Health Research, Birmingham Health Partners for Regulatory Science and Innovation, and NIHR, Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, B15 2TT, UK
Olalekan Lee Aiyegbusi
Institute of Inflammation and Ageing, University of Birmingham, University Hospitals Birmingham, Birmingham, England
Xiaoxuan Liu & Alastair Denniston
Health Data Research UK, London, England
Xiaoxuan Liu & Alastair Denniston
Institute of Applied Health Research, University of Birmingham, Birmingham, England
Susan Bayliss, David Moore & Tasanee Braithwaite
Centre for Patient Reported Outcomes Research (CPROR), Institute of Applied Health Research, Birmingham Health Partners for Regulatory Science and Innovation, NIHR, Birmingham Biomedical Research Centre, NIHR Surgical Reconstruction and Microbiology Centre and NIHR Applied Research Collaboration West Midlands, University of Birmingham, Birmingham, B15 2TT, UK
Melanie Calvert
University of New South Wales, Kensington, Australia
Konrad Pesudovs
Vision and Eye Research Institute, Anglia Ruskin University, Cambridge, UK
Konrad Pesudovs
The Medical Eye Unit, Guy’s and St Thomas’ Hospital NHS Foundation Trust, London, England
Tasanee Braithwaite
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DM, SB, AD and XL were involved in the initial search strategy and literature review. All titles and abstracts were screened by two independent reviewers (CO and XL/TB), to remove irrelevant articles. At any stage, if the reviewers were unable to reach consensus, an additional reviewer was consulted (KP). Two reviewers (TB and OLA/JP/CO) independently extracted data from studies meeting the inclusion criteria, using a standardised form. All authors were involved in writing & reviewing the manuscript. The author(s) read and approved the final manuscript.
Correspondence to Charles O’Donovan.
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Search strategy for MEDLINE.
Quality appraisal framework for included studies. eTable 2. Table providing justification of the assigned quality appraisal gradings.
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O’Donovan, C., Panthagani, J., Aiyegbusi, O.L. et al. Evaluating patient-reported outcome measures (PROMs) for clinical trials and clinical practice in adult patients with uveitis or scleritis: a systematic review. J Ophthal Inflamm Infect 12, 29 (2022). https://doi.org/10.1186/s12348-022-00304-3
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Received: 20 December 2021
Accepted: 09 July 2022
Published: 05 September 2022
DOI: https://doi.org/10.1186/s12348-022-00304-3
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