Literature DB >> 35544134

Application of Patient-Reported Outcome Measurements in Clinical Trials in China.

Hui Zhou1,2, Mi Yao3, Xiaodan Gu1, Mingrui Liu4, Ruifeng Zeng1, Qin Li5, Tingjia Chen6, Wen He5, Xiao Chen2, Gang Yuan1,5.   

Abstract

Importance: Regulatory authorities, industry peers, and international health policies have emphasized the value of assessing patient-reported outcomes (PROs) in clinical studies. Despite the increase in the number of clinical studies in the last decade in China, little is known about the extent of the use of PROs. Objective: To evaluate the application and characteristics of PRO instruments as primary and secondary outcomes in randomized clinical trials in China. Design, Setting, and Participants: A cross-sectional study of interventional clinical trials conducted in China from January 1, 2010, to December 31, 2020, was performed. Data obtained from the Chinese Clinical Trial Registry and ClinicalTrials.gov databases were evaluated. Main Outcomes and Measures: Trials were categorized according to those that (1) precisely listed PRO tools as outcomes, (2) mentioned patient subjective feelings in outcomes but did not clarify which tools were used for assessment, and (3) did not mention any PRO measurements. Data on study phase, setting, participant age, and sex were extracted from trials that considered patient feelings, along with the target diseases and names of the PRO tools.
Results: Among a total of 34 033 trials, 6915 (20.3%) listed the explicit PRO instruments used and 3178 (9.3%) included PRO in their outcomes but did not include the names of the assessment tools. From more than 32 million people included in the registered trials, data on 1.5 million (4.7%) patients were scientifically collected by PRO instruments, and subjective feelings were assessed for 693 867 (2.1%) participants. Pain (16.8%), cancer (15.6%), and musculoskeletal symptoms (13.3%) were the most common conditions for which PROs were precisely collected by tools. The most common tools for PRO measurements were the visual analog scale, Short-Form 36, and Hamilton Depression Scale. Conclusions and Relevance: In this cross-sectional study, the use of PROs increased during the study period in clinical trials conducted in China. However, patient opinion appears to still be rarely measured. The application of PRO is geographically unevenly distributed. Development of PRO instruments, especially those suitable for the Chinese population, may be useful. Further expansion of PROs with respect to the scope of diseases is needed to avoid missing important data.

Entities:  

Mesh:

Year:  2022        PMID: 35544134      PMCID: PMC9096600          DOI: 10.1001/jamanetworkopen.2022.11644

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


Introduction

A patient-reported outcome (PRO) constitutes information about symptom severity, disease state, and change from a previous measure that comes directly from patients.[1,2] PROs provide evidence for evaluating the disease status or changes during treatment.[3] Rigorously captured PRO results of trials have substantial implications for pharmaceutical labeling claims,[4] product reimbursement,[3] and decision-making on medicine use,[5] and may even be factors in health care policy.[5] PROs have been widely used to understand the perspective of patients in randomized clinical trials[5] and clinical practice[6] and have several advantages, including being noninvasive, patient-centered, and easily accessed.[7] With PROs becoming an area of greater interest, an increasing number of studies have been using PROs as one of the crucial primary or secondary end points.[8,9,10,11] PRO measurements have been used in some high-quality randomized clinical trials as alternatives to the traditional outcomes used to evaluate the efficacy of treatment.[12,13,14] Some researchers believe that data collected using PROs would be more comprehensive than routine medical records and have better sensitivity.[8,15,16] In particular, PRO measurements that follow guidelines[1,2,4] for study design, data collection, and data analysis are recognized to be highly evidence-based. With the value of PROs being widely accepted, questions have been raised about the extent and scope of PRO use in studies. Some researchers believe that understanding and evaluating the application of PROs is a necessary step for further improving the quality of clinical studies. Studies on the standardization of the PRO collection process for clinical trials have been conducted.[17,18,19] The results of those studies suggest that the application of PROs is inadequate, incomplete, or underreported.[20,21,22] To our knowledge, there have been no comprehensive evaluations assessing the use of PROs in clinical trials in China. China has the potential to recruit an adequate number of participants for clinical trials of any size. The number of clinical trials is also increasing as the population increases. Therefore, we reviewed the registration information of randomized clinical trials conducted in China to understand how PROs were being used to gain insight on some possible directions for future efforts.

Methods

Study Design

This cross-sectional study was designed to calculate the number and evaluate the characteristics of clinical trials conducted in China that have used PROs as their primary or secondary end points from January 1, 2010, to December 31, 2020. All clinical trials should be registered, and the World Health Organization regards registration of clinical trials as a scientific, ethical, and moral responsibility. Approximately 99%[23] of the clinical trials conducted in China are registered on the 2 primary World Health Organization registries: ClinicalTrials.gov and the Chinese Clinical Trial Registry, with public disclosure. We limited our search to intervention studies in the 2 databases (eMethods in the Supplement). We further sought to identify which PRO tools were most commonly used in trials for different target diseases. Because this study did not involve clinical data or human participants, it was exempt from institutional review board approval and the requirement for informed patient consent per the Common Rule (45 CFR part 46). This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Data Collection Strategy

We included trials (1) for which the country of the primary sponsors or recruitment/research settings was China, (2) were interventional (randomized clinical trials), and (3) recruited participants older than 18 years (Figure 1). Trials with 2 registration identification numbers were considered duplicate and were counted only once (in the Chinese Clinical Trial Registry) to avoid deviations caused by repeated statistics. The types of information included to assess the outcomes and characteristics of the clinical trials were as follows: (1) basic information (registration number, date of registration, scientific title, countries of recruitment, and research settings), (2) key information (outcomes, target disease, and participant age and sex), and (3) feature information (primary sponsor, primary sponsor location, source of funding, and study phase).
Figure 1.

Trial Exclusion and Classification Criteria

PRO indicates patient-reported outcome.

Trial Exclusion and Classification Criteria

PRO indicates patient-reported outcome.

Data Classification

Eligible trials were categorized into 3 groups according to the outcomes reported: (1) explicitly specified PROs (trial registration mentioned the use of PRO tools and PRO tools were specified), (2) implicitly specified PROs (trial registration mentioned the use of PRO tools, but PRO tools were not specified), or (3) PROs not mentioned (trial registration did not mention the use of PRO tools). PRO instruments were categorized according to the definition of the US Food and Drug Administration guideline for industry issued in 2009[4] as any form of measurements that come directly from the patients without any explanation from others about a health condition or quality of life.

Statistical Analysis

Data related to the characteristics of the included studies were extracted independently by 2 of us (H.Z. and X.G.), using predesigned data extraction tables. The study phase, participant age and sex, and study setting are summarized in Table 1. Owing to the wide variation in target diseases, similar conditions were categorized in the same groups (eTable 1 in the Supplement). Based on our categorization of conditions, the PRO instruments used in each trial were summarized to calculate the most and least frequently used tools. We included in statistical analysis only items that listed the PRO tool names for quantitative analysis to know which assessment tools were used. Descriptive statistics were summarized using SPSS software, version 27.0 (IBM Corp).
Table 1.

Characteristics of all Trials and Trials Including PROs

CharacteristicsTotal, No. (%)
TrialsPRO trials
No.34 03310 093
Phase
Early stage439 (1.3)131 (1.3)
13517 (10.3)395 (3.9)
22722 (8.0)570 (5.7)
32846 (8.3)811 (8.0)
45112 (15.0)1306 (12.9)
Othera7738 (22.7)2677 (26.5)
Unclear11 659 (34.3)4203 (41.5)
Setting
Hospital29 927 (87.9)8925 (88.4)
Community151 (0.4)73 (0.7)
Otherb2545 (7.5)765 (7.6)
Unclear1410 (4.1)330 (3.3)
Age
18-no limit31 121 (91.5)9140 (90.6)
Over 651168 (3.4)475 (4.7)
Unclear1744 (5.1)478 (4.7)
Gender
Male1496 (4.4)471 (4.7)
Female3540 (10.4)1067 (10.6)
Both28 941 (85.0)8545 (84.7)
Unclear56 (0.1)10 (0.1)
Regions, China
Southwest3099 (9.1)1048 (10.4)
Northeast1182 (3.5)360 (3.6)
North8450 (24.8)2276 (22.6)
Northwest1163 (3.4)326 (3.2)
East12 894 (37.9)3895 (38.6)
South4992 (14.7)1549 (15.4)
Central2253 (6.6)639 (6.3)

Investigator-initiated trials, new treatment measurements, inspection technology, health service, and therapeutic devices.

Rehabilitation, nursing home, campus, centers for disease control, home, and research institute.

Investigator-initiated trials, new treatment measurements, inspection technology, health service, and therapeutic devices. Rehabilitation, nursing home, campus, centers for disease control, home, and research institute.

Results

Trial Characteristics

The overall characteristics of the included trials are summarized in Table 1. We identified 36 487 interventional studies conducted in China from 2010 to 2020, including 22 625 from the Chinese Clinical Trial Registry and 13 862 from ClinicalTrials.gov. We excluded 2454 trials, including 55 duplicates, 2212 clinical trials including children, and 187 trials that were not conducted in China or were considered incomplete. A total of 34 033 eligible trials were identified for analysis. Of the 32 683 284 participants in all trials, 4.7% (n = 1 520 171) were involved in trials that reported specific PRO tools and 2.1% (n = 693 867) were involved in trials that used a vague PRO description. Among the 34 033 included trials, 10 093 (29.7%) used PROs as their primary or secondary outcomes, 6915 (20.3%) listed specific PRO instruments, and 3178 (9.3%) did not name the instruments that were chosen. Most trials (23 940 [70.3%]) did not incorporate any PRO measurements (Figure 2).
Figure 2.

Number of Clinical Trials Analyzed

PRO indicates patient-reported outcome.

Number of Clinical Trials Analyzed

PRO indicates patient-reported outcome. More than 90% of the studies had no limit on participant age (we excluded all trials in children). The proportion of older participants (age >65 years) was higher in trials involving PRO than in those that did not. The number of clinical trials including women was 2 times higher than those including men among all trials that included PRO measurements. Of 34 033 clinical trials, phase 4 trials (5112 [15.0%]) were the most common, followed by phase 1 (3517 [10.3%]), phase 3 (2846 [8.3%]), and phase 2 (2722 [8.0%]). Of 10 093 PRO-related trials, phase 4 trials were again the most common (1306 [12.9%]), followed by phase 3 (811 [8.0%]), with few such measures applied in phase 2 (570 [5.7%]) and phase 1 (395 [3.9%]) trials (Table 1). Nearly 90% of the trials were conducted in hospitals, and less than 1% were performed in primary care settings. Most primary sponsors were located in eastern China, followed by northern and southern China; the other regions, including southwestern, central, northwestern, and northeastern China, accounted for less than 0.1% of the trial locations (Table 1). There were similar findings when considering only the PRO-related studies, with more than 70% of primary sponsors coming from the eastern, northern, and southern areas of China; fewer than 30% of sponsors and research teams were from the southwestern, central, northeastern, and northwestern areas of China (Table 1). There were substantial differences in the proportion of PRO trials among the different provinces. The percentage PROs in Chinese provinces is shown in the eFigure in the Supplement.

Conditions and Participants

During the study period, the number of clinical trials registered in China has continuously increased, with an annual growth rate of approximately 30%, and parallel growth was found for trials including PRO measurements. In the 6915 trials that listed specific PRO instruments, pain (16.8%), cancer (15.6%), musculoskeletal symptoms (13.3%), mental health conditions (10.6%), and neurologic diseases (7.6%) were the top 5 conditions for which PRO measures were considered as outcomes (Figure 3). Although the instruments used varied by disease type, visual analog scale (VAS), 36-item Short-Form Health Questionnaire (SF-36), and Hamilton Depression Scale were the most frequently used PRO tools in these trials (eTable 2 in the Supplement).
Figure 3.

Number of Trials and Participants With Explicitly and Implicitly Specified Patient-Reported Outcomes (PROs)

The number of conditions and participants in trials that included PRO measurements is shown in Figure 3. In the 10 093 trials that included PRO measures, cancer (21.2%), pain (14.1%), and musculoskeletal diseases (11.4%) were the most common conditions considered, followed by mental health (8.7%), neurologic (7.7%), digestive (6.8%), and cardiovascular (5.2%) conditions. Respiratory; gynecologic; ophthalmologic, nasal, auditory, and dental; and urogenital conditions accounted for 3% to 5% of these trials. Metabolic and endocrine conditions (2.8%), skin diseases (2.5%), rheumatic diseases (1.9%), and chronic infections (1.1%) were the least common conditions studied. Of the 2 214 038 participants in trials that included PRO data, 20.2% (n = 447 413) were diagnosed with cancer, 10.1% (n = 223 482) were experiencing chronic pain, and 9.7% (n = 215 862) had cardiovascular conditions. Participants with digestive (193 740 [8.8%]), musculoskeletal (178 619 [8.1%]), mental health (157 776 [7.1%]), neurologic (132 393 [6.0%]), and respiratory (112 136 [5.1%]) conditions were also well represented (>10 000 participants in all cases). More than 50 000 participants in these trials had metabolic and endocrine (94 853 [4.3%]), gynecologic (70 919 [3.2%]), and urogenital (53 912 [2.4%]) conditions, and less than 50 000 participants in this group had rheumatic diseases (48 953 [2.2%]); skin conditions (44 867 [2.0%]); ophthalmologic, nasal, auditory, and dental conditions (43 104 [1.9%]); and chronic infections (39 598 [1.8%]).

PRO Instruments Used in Clinical Trials

To evaluate the specific PRO instruments used in the 6915 trials that assessed patients’ subjective feelings in outcomes and explicitly mentioned the PRO collection tools, we categorized similar target diseases into 15 conditions (Table 2). The VAS and numeric rating scale were the most frequently used PRO scales in trials focused on a pain condition. For musculoskeletal diseases, most trials also used the VAS to assess the outcomes, followed by the Western Ontario and McMaster Universities Osteoarthritis index, patient quality of life, and SF-36. The Hamilton Depression Scale was used in 41.0% of mental health–related trials and in 13.8% of neurologic condition trials to assess depression. However, trials for mental health conditions more frequently focused on scales measuring insomnia with the Pittsburgh Sleep Quality Index and anxiety with the 14-item Hamilton Anxiety Scale, whereas neurologic trials seemed to largely focus on the VAS (16.5%) and European Quality-of-Life-5 Dimensions scale. Trials focused on digestive conditions tended to use more-specific instruments, such as the Irritable Bowel Syndrome Symptom Severity scale, Irritable Bowel Syndrome Quality-of-Life Questionnaire Scores, and Inflammatory Bowel Disease Questionnaire, along with the VAS and SF-36. Trials for respiratory conditions also used more condition-specific scales, including the St George’s Respiratory Questionnaire total scores, modified Medical Research Council dyspnea scale scores, and Chronic Obstructive Pulmonary Disease Assessment Test. Thus, for the 6915 trials that included PROs, the VAS (34.7%), SF-36 (8.8%), Hamilton Depression Scale (6.6%), Pittsburgh Sleep Quality Index (5.3%), and numeric rating scale (4.9%) were the top 5 tools used.
Table 2.

Frequency of the Use of PRO Tools by Condition

ConditionsProportion, No. (%)PRO instruments
NameNo./total No. (%)NameNo./total No. (%)NameNo./total No. (%)NameNo./total No. (%)NameNo./total No. (%)NameNo./total No. (%)
Total No.6915
Pain1159 (16.8)VAS773/1159 (66.7)NRS190/1159 (16.4)SF-3675/1159 (6.5)McGill Pain Questionnaire39/1159 (3.4)ODI28/1159 (2.4)SAQ29/1159 (2.5)
Cancer1080 (15.6)QLQ-C30308/1080 (28.5)VAS288/1080 (26.7)EQ-5D75/1080 (6.9)NRS53/1080 (4.9)SF-3622/1080 (2.0)FACT-L18/1080 (1.7)
Musculoskeletal922 (13.3)VAS604/922 (65.5)WOMAC178/922 (19.3)SF-36159/922 (17.3)ODI52/922 (5.6)SF-1248/922 (5.2)SF-MPQ26/922 (2.8)
Mental health730 (10.6)HAMD299/730 (41.0)PSQI191/730 (26.2)HAMA175/730 (24.0)BDI/BAI54/730 (7.4)PHQ-935/730 (4.8)SF-3633/730 (4.5)
Neurological527 (7.6)VAS87/527 (16.5)HAMD73/527 (13.9)EQ-5D48/527 (9.1)PDQ-3948/527 (9.1)SF-3632/527 (6.7)PSQI23/527 (4.4)
Digestive429 (6.2)VAS132/429 (30.8)SF-3646/429 (10.7)IBS-SSS34/429 (7.9)IBS-QOL31/429 (7.2)IBDQ30/429 (7.0)HAMD26/429 (6.1)
Respiratory370 (5.4)SGRQ90/370 (24.3)mMRC83/370 (22.4)CAT64/370 (17.3)AQLQ44/370 (11.9)ACT22/370 (6.0)LCQ19/370 (5.4)
Cardiovascular340 (4.9)SAQ69/340 (20.3)SF-3656/340 (16.5)MLFHQ33/340 (9.7)VAS25/340 (7.4)HAMD14/340 (4.1)EQ-5D12/340 (3.4)
Ophthalmologic, nasal, auditory, and dental217 (3.1)VAS114/217 (52.5)RQLQ22/217 (10.1)NEI-VFQ-2512/217 (5.5)THI11/217 (5.1)OSDI8/217 (3.7)SPEED7/217 (3.2)
Urogenital204 (3.0)VAS46/204 (22.6)IIEF35/204 (17.2)IPSS35/204 (17.2)ICIQ-SF29/204 (14.2)OAB-q SF21/204 (10.3)SF-3614/204 (6.9)
Gynecology190 (2.8)VAS67/190 (35.3)SDA22/190 (11.6)EPDS14/190 (7.4)GCS11/190 (5.8)Men QOL10/190 (5.3)PFIQ8/190 (4.2)
Metabolic and endocrine186 (2.7)VAS39/186 (21.0)SDACA31/186 (16.7)SF-3617/186 (9.1)SDS12/186 (6.5)HAMD4/186 (2.2)WHO-QOL4/186 (2.2)
Skin180 (2.6)DLQI84/180 (46.7)VAS76/180 (42.2)NRS15/180 (8.3)Skindex1610/180 (5.6)HADS6/180 (3.3)HAMA3/180 (1.7)
Rheumatic diseases173 (2.5)HAQ44/173 (25.4)DAS-2830/173 (17.3)SF-3621/173 (12.1)BASFI29/173 (16.8)BASDAI29/173 (16.8)ESSPRI3/173 (1.7)
Chronic infection70 (1.0)WHOQOL-HIV14/70 (20.0)SF-3610/70 (14.3)HAMD6/70 (8.6)PSQI6/70 (8.6)VAS6/70 (8.6)EQ-5D6/70 (8.6)

Abbreviations: ACT, Asthma Control Test; AQLQ, Asthma Quality of Life Questionnaire; BASDAI, Bath Ankylosing Spondylitis Disease Activity Index; BDI/BAI, Beck Depression Inventory-II; CAT, COPD Assessment Test; DAS-28, Disease Activity Score-28; DLQI, Dermatology Life Quality Index; EPDS, Edinburgh Postnatal Depression Scale; EQ-5D, European Quality of Life-5 Dimensions; ESSPRI, EULAR Sjogren's Syndrome Patient Reported Index; FACT-L, Functional Assessment of Cancer Therapy–Lung; GCS, Standard Greene Climacteric Scale; HADS, Hospital Anxiety Depression Scale; HAMA, 14-item Hamilton Anxiety Rating Scale; HAMD, Hamilton Depression Scale; HAQ, Health Assessment Questionnaire; IBDQ, Inflammatory Bowel Disease Questionnaire; IBS-QOL, Irritable Bowel Syndrome assessed by Quality of Life Questionnaire Scores; IBS-SSS, Irritable Bowel Syndrome Symptom Severity; ICIQ-SF, International Consultation on Incontinence Questionnaire–Short Form; IIEF, International Index of Erectile Function; IPSS, International Prostate Symptom Score; LCQ, Leicester Questionnaire; Men QOL, Menopause-Specific Quality of Life; MLFHQ, Minnesota Living With Heart Failure Questionnaire; mMRC, Modified Medical Research Council; NEI-VFQ-25, National Eye Institute Visual Functioning Questionnaire–25; NRS, numeric rating scale; OAB-q SF, Overactive Bladder Questionnaire Short Form; ODI, Oswestry Disability Index; OSDI, Ocular Surface Disease Index; PDQ-39, 39-item Parkinson Disease Questionnaire; PFIQ, PFIQ Urinary Impact Questionnaire; PHQ-9, Patient Health Questionnaire-9; PRO, patient-reported outcome; PSQI, Pittsburgh Sleep Quality Index; QLQ-C30, Quality of Life Questionnaire–Core 30; RQLQ, Rhinoconjunctivitis Quality of Life Questionnaire; SAQ, Seattle Angina Questionnaire; SDACA, Chinese version of Diabetes Self-Care Activities; SDS, Self-rating Depression Scale; SF-12, 12-item Short-Form Health Survey; SF-36, Short-Form 36-item Health Survey; SF-MPQ, Short-Form of McGill Pain Questionnaire; SGRQ, St George's Respiratory Questionnaire; Skindex16, Skindex-16 dermatologic survey; SPEED, Standard Patient Evaluation Eye Dryness; THI, Tinnitus Handicap Inventory; VAS, visual analog scale; WHOQOL-HIV, World Health Organization Quality of Life HIV instrument; WHO-QOL, World Health Organization Quality of Life-Lite-Clinical Trials Version; WOMAC, The Western Ontario and McMaster Universities Osteoarthritis Index.

Abbreviations: ACT, Asthma Control Test; AQLQ, Asthma Quality of Life Questionnaire; BASDAI, Bath Ankylosing Spondylitis Disease Activity Index; BDI/BAI, Beck Depression Inventory-II; CAT, COPD Assessment Test; DAS-28, Disease Activity Score-28; DLQI, Dermatology Life Quality Index; EPDS, Edinburgh Postnatal Depression Scale; EQ-5D, European Quality of Life-5 Dimensions; ESSPRI, EULAR Sjogren's Syndrome Patient Reported Index; FACT-L, Functional Assessment of Cancer Therapy–Lung; GCS, Standard Greene Climacteric Scale; HADS, Hospital Anxiety Depression Scale; HAMA, 14-item Hamilton Anxiety Rating Scale; HAMD, Hamilton Depression Scale; HAQ, Health Assessment Questionnaire; IBDQ, Inflammatory Bowel Disease Questionnaire; IBS-QOL, Irritable Bowel Syndrome assessed by Quality of Life Questionnaire Scores; IBS-SSS, Irritable Bowel Syndrome Symptom Severity; ICIQ-SF, International Consultation on Incontinence Questionnaire–Short Form; IIEF, International Index of Erectile Function; IPSS, International Prostate Symptom Score; LCQ, Leicester Questionnaire; Men QOL, Menopause-Specific Quality of Life; MLFHQ, Minnesota Living With Heart Failure Questionnaire; mMRC, Modified Medical Research Council; NEI-VFQ-25, National Eye Institute Visual Functioning Questionnaire–25; NRS, numeric rating scale; OAB-q SF, Overactive Bladder Questionnaire Short Form; ODI, Oswestry Disability Index; OSDI, Ocular Surface Disease Index; PDQ-39, 39-item Parkinson Disease Questionnaire; PFIQ, PFIQ Urinary Impact Questionnaire; PHQ-9, Patient Health Questionnaire-9; PRO, patient-reported outcome; PSQI, Pittsburgh Sleep Quality Index; QLQ-C30, Quality of Life Questionnaire–Core 30; RQLQ, Rhinoconjunctivitis Quality of Life Questionnaire; SAQ, Seattle Angina Questionnaire; SDACA, Chinese version of Diabetes Self-Care Activities; SDS, Self-rating Depression Scale; SF-12, 12-item Short-Form Health Survey; SF-36, Short-Form 36-item Health Survey; SF-MPQ, Short-Form of McGill Pain Questionnaire; SGRQ, St George's Respiratory Questionnaire; Skindex16, Skindex-16 dermatologic survey; SPEED, Standard Patient Evaluation Eye Dryness; THI, Tinnitus Handicap Inventory; VAS, visual analog scale; WHOQOL-HIV, World Health Organization Quality of Life HIV instrument; WHO-QOL, World Health Organization Quality of Life-Lite-Clinical Trials Version; WOMAC, The Western Ontario and McMaster Universities Osteoarthritis Index.

Discussion

This cross-sectional study evaluated the usefulness of PRO measures in randomized clinical trials conducted in China and quantitatively analyzed their characteristics. We found that 20.3% of the trials involving 4.7% of the total participants used PRO tools to assess the subjective experiences of patients. These data indicate the outcomes in the registration information of clinical trials. In fact, researchers found that PROs were frequently inadequate[20,21,22] when protocols were reviewed in a rigorous scientific manner (Consolidated Standards of Reporting Trials or Standard Protocol Items: Recommendations for Interventional Trials–PRO Extension[24]). In our study, if we were successful in considering the protocols of these 20.3% of trials rigorously, then the reported PRO outcomes would have been lower than this percentage. We believe that the remaining 80% of the trials missed the opportunity to collect patients’ subjective evaluations. Clinical trials must highly prioritize patient benefit, and valuing patient opinion is important in making our trials more ethical. Although, to our knowledge, there are no similar studies for comparison, we suggest that it would be useful for Chinese researchers to recognize the importance of PROs and standardize the PRO collection process for clinical trials. It is not surprising that cancer trials more commonly included PRO items; there are many innovative chemotherapy drugs that have emerged on the market and patient quality of life is one of the major research topics in the antitumor drug development field. PROs are increasingly being used in clinical practice; patient's opinions need to be considered not only in clinical trials, but also in routine health care. Some researchers believe that a patient-reported symptom should be included as a part of high-quality cancer care.[25] The Chinese authorities released Guidelines for the Application of Patient-Reported Outcomes in Drug Clinical Research (Draft) in 2021 aimed at increasing the focus on PROs,[26] which may contribute to improving the quality of clinical trials conducted in China. We found that more than one-third of the trials that used PRO measures chose VAS as the main assessment tool. VAS is used for quick and easy access to data. Extensive use of VAS indicates that people are aware of PROs, which will encourage the development of more effective and reliable PRO tools. The necessity to develop suitable PRO tools for specific groups is widely acknowledged.[13,14,27,28] Current high-quality randomized clinical trials are using PROs as end points.[8,29,30] In our study, we did not identify any trial that used a self-developed PRO tool during the study years. However, a positive sign is that some researchers have begun to focus on the development and evaluation of new PRO scales.[9,31] Some Chinese researchers have also recognized the great potential of PROs and have begun to independently design novel PRO instruments[32,33,34,35] and apply them in clinical practice.[36,37] The findings of this survey are concordant with our hypothesis that phase 3 and phase 4 trials typically involve more PRO measures. PRO items were included in 12.9% of phase 4 clinical trials, suggesting that researchers may be willing to pay more attention to patients’ feelings when the trial is not aimed only at marketing. However, the omission of PRO content among trial outcomes in the early stages may reduce the value of patient participation in trials.[27] We found that the request for indication of the phase on the databases was marked as other or not applicable by the registrant for more than 30% of the trials. Therefore, our statistics are probably in line with the actual information. Further attention should be given to registering clinical trials for improved ethics compliance. In this study, we also found that there were obvious regional differences in PRO use. In the eastern, northern, and southern regions of China, PRO measurements were much more frequently adopted, although trials conducted in remote areas may need to be simplified for logistic reasons. PROs cannot only provide references for more ambitious trials but also serve as the vital basis for labeling claims on noninnovative drug trials, such as bioequivalence studies.[38,39,40] Even less-developed regions or countries may benefit from adopting PROs for clinical trials. Clinical trials conducted in China may be important in terms of PRO assessment, given that PRO data collection and management are appropriately performed. Thus, China is in the position to establish its PRO system and design and enrich its PRO instruments based on data from the current situation and past years.

Limitations

This study has limitations. We excluded trials in children, which may have caused a bias in the results and excluded special cases, given the substantial amount of work emerging on pediatric PROs.[41,42] During data extraction, we found that some registrants did not rigorously supply the details of the trial; for example, approximately 2010 registered trials were still marked as being in recruitment status, which was not the case. Therefore, we did not consider recruitment status, which may have skewed the sample size. Although the World Health Organization has mandated registration for all clinical trials, we are concerned that there were omissions in some cases. We also noticed that it was not always clear whether PRO assessments were performed because of insufficient or unclear reporting of methods. Overall, 3178 trials were marked as having implicitly specified PROs. To limit misclassification, at least 3 rounds of review by 2 senior researchers were conducted independently.

Conclusions

This cross-sectional study found that in China, patients’ experiences and expectations with treatment in clinical trials require more attention. Patient-reported responses to treatment can provide valuable clinical evidence. Documentation of patients’ subjective feelings and details on quality of life in the context of chronic diseases, such as cardiovascular diseases, respiratory diseases, rheumatic diseases, skin conditions, and digestive conditions, is necessary. Further efforts in the development of PRO scales that can be adapted to the Chinese population would be beneficial.
  40 in total

1.  Patient reported outcomes and quality of life in Chinese patients with implantable cardioverter defibrillators.

Authors:  Xijuan Guo; Connor Tripp; Nichelle L Huber; Cuihong Hou; Rong Lv; Jing Li; Tao Liang; Samuel F Sears
Journal:  Heart Lung       Date:  2020-06-16       Impact factor: 2.210

2.  Use of patient-reported outcomes in clinical practice.

Authors:  Claire F Snyder; Neil K Aaronson
Journal:  Lancet       Date:  2009-08-01       Impact factor: 79.321

3.  A Review of Patient-Reported Outcome Labeling in the United States (2011-2015).

Authors:  Ari Gnanasakthy; Margaret Mordin; Emily Evans; Lynda Doward; Carla DeMuro
Journal:  Value Health       Date:  2016-12-02       Impact factor: 5.725

4.  Patient-Reported Outcomes and Knee Mechanics Correlate With Patellofemoral Deep Cartilage UTE-T2* 2 Years After Anterior Cruciate Ligament Reconstruction.

Authors:  Ashley A Williams; Jennifer C Erhart-Hledik; Jessica L Asay; Gordhan B Mahtani; Matthew R Titchenal; Amelie M Lutz; Thomas P Andriacchi; Constance R Chu
Journal:  Am J Sports Med       Date:  2021-01-28       Impact factor: 6.202

5.  Evaluation of Gastrointestinal Patient Reported Outcomes Measurement Information System (GI-PROMIS) Symptom Scales in Subjects With Inflammatory Bowel Diseases.

Authors:  Bharati Kochar; Christopher F Martin; Michael D Kappelman; Brennan M Spiegel; Wenli Chen; Robert S Sandler; Millie D Long
Journal:  Am J Gastroenterol       Date:  2017-08-29       Impact factor: 10.864

6.  Patient-Reported Outcome Measures for Use in Clinical Trials and Clinical Practice in Inflammatory Bowel Diseases: A Systematic Review.

Authors:  Marin J de Jong; Roxanne Huibregtse; Ad A M Masclee; Daisy M A E Jonkers; Marie J Pierik
Journal:  Clin Gastroenterol Hepatol       Date:  2017-10-23       Impact factor: 11.382

Review 7.  How Quality of Life as Patient-Reported Outcome Has Been Studied for Rheumatoid Arthritis in Chinese-Speaking Population.

Authors:  Hao Hu; Luan Luan; Shu-Chuen Li
Journal:  Value Health Reg Issues       Date:  2015-05-16

8.  The impact of patient-reported outcome (PRO) data from clinical trials: a systematic review and critical analysis.

Authors:  Samantha Cruz Rivera; Derek G Kyte; Olalekan Lee Aiyegbusi; Anita L Slade; Christel McMullan; Melanie J Calvert
Journal:  Health Qual Life Outcomes       Date:  2019-10-16       Impact factor: 3.186

Review 9.  Determining the Effectiveness of Using Patient-Reported Outcomes in Pediatric Clinical Practices.

Authors:  Lei Cheng; Qiongfang Kang; Yanqing Wang; Pamela S Hinds
Journal:  J Pediatr Nurs       Date:  2020-07-31       Impact factor: 2.145

10.  Use of Patient-Reported Outcome Measures to Assess Outpatient Postpartum Recovery: A Systematic Review.

Authors:  Pervez Sultan; Nadir Sharawi; Lindsay Blake; Kazuo Ando; Ellile Sultan; Nima Aghaeepour; Brendan Carvalho; Nishant Sadana
Journal:  JAMA Netw Open       Date:  2021-05-03
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