Patient-reported outcome

Last updated

A patient-reported outcome (PRO) is a health outcome directly reported by the patient who experienced it. It stands in contrast to an outcome reported by someone else, such as a physician-reported outcome, a nurse-reported outcome, and so on. PRO methods, such as questionnaires, are used in clinical trials or other clinical settings, to help better understand a treatment's efficacy or effectiveness. The use of digitized PROs, or electronic patient-reported outcomes (ePROs), is on the rise in today's health research setting.

Contents

Terminology

PROs should not be confused with PCOs, or patient-centered outcomes . The latter implies the use of a questionnaire covering issues and concerns that are specific to a patient. Instead, patient-reported outcomes refers to reporting situations in which only the patient provides information related to a specific treatment or condition; this information may or may not be of concern to the patient.[ citation needed ]

Further, PROs should not be confused with PREMs (patient reported experience measures), which focus more on a patient's overall experience versus a focus on specific treatment outcomes. The term PROs is becoming increasingly synonymous with "patient reported outcome measures" (PROMs).[ citation needed ]

Overview

PRO is an umbrella term that covers a whole range of potential measurements, but it specifically refers to "self-reporting" by the patient. PRO data may be collected via self-administered questionnaires, which the patient completes themselves, or through patient interviews. The latter will only qualify as a PRO, however, if the interviewer is gaining the patient's views and not using the responses to make a professional assessment or judgment of the impact of a treatment on the patient's condition. Thus, PROs are used as a means of gathering patient- rather than clinical- or other outcomes perspectives. The patient-reported perspective can be an important asset in gaining treatment or drug approval. [1] [2]

There is no incentive for patients to report their outcome data other than to "pay it forward" to the community and help the health industry prevent unnecessary suffering in other patients.[ citation needed ]

Characteristics

A well-designed PRO questionnaire should assess either a single underlying characteristic or, where it addresses multiple characteristics, should be a number of scales that each address a single characteristic. These measurement "characteristics" are termed constructs and the questionnaires used to collect them, termed instruments, measures, scales or tools. [3] [4] Typically, PRO tools must undergo extensive validation and testing. [5] [6]

A questionnaire that measures a single construct is described as unidimensional. Items (questions) in a unidimensional questionnaire can be added to provide a single scale score. However, it cannot be assumed that a questionnaire is unidimensional simply because the author intended it to be. This must be demonstrated empirically (for example, by confirmatory factor analysis or Rasch analysis). A questionnaire that measures multiple constructs is termed multi-dimensional. A multi-dimensional questionnaire is used to provide a profile of scores; that is, each scale is scored and reported separately. It is possible to create an overall (single summary) score from a multi-dimensional measure using factor analysis or preference-based methods but some may see this as akin to adding apples and oranges together. [7]

Questionnaires may be generic (designed to be used in any disease population and cover a broad aspect of the construct measured) or condition-targeted (developed specifically to measure those aspects of outcome that are of importance for a people with a particular medical condition).[ citation needed ]

The most commonly used PRO questionnaires assess one of the following constructs:[ citation needed ]

Measures of symptoms may focus on a range of impairments or on a specific impairment such as depression or pain. Measures of functioning assess activities such as personal care, activities of daily living and locomotor activities. Health-related quality of life instruments are generally multi-dimensional questionnaires assessing a combination of aspects of impairments and/or disability and reflect a patient's health status. In contrast, QoL goes beyond impairment and disability by asking about the patient's ability to fulfill their needs and also about their emotional response to their restrictions.

A new generation of short and easy-to-use tools to monitor patient outcomes on a regular basis has been recently proposed. [8] These tools are quick, effective, and easy to understand, as they allow patients to evaluate their health status and experience in a semi-structured way and accordingly aggregate input data, while automatically tracking their physio-emotional sensitivity. As part of the National Institute of Health's Roadmap Initiative, the Patient-Reported Outcomes Measurement Information System (PROMIS) uses modern advances in psychometrics such as item response theory (IRT) and computerized adaptive testing (CAT) to create highly reliable and validated measurement tools. The literature suggests increasing consistency in recommendations to guide PROM selection for clinical trials. [9]

Validation and quality assessment

It is essential that a PRO instrument satisfy certain development, psychometric and scaling standards if it is to provide useful information (e.g. [10] ). Specifically, measures should have a sound theoretical basis and should be relevant to the patient group with which they are to be used. They should also be reliable and valid (including responsive to underlying change) and the structure of the scale (whether it possesses a single or multiple domains) should have been thoroughly tested using appropriate methodology in order to justify the use of scale or summary scores. The validation of the PRO measures should incorporate not only short-term but also long-term success in order to be able to reflect sustainability of interventions. [11] Classic examples of such tools and methods are noted in commonly used oncology tools, such as FACT or EORTC tools. [12] [13] [14] [15] [16]

These standards must be maintained throughout every target language population. In order to ensure that developmental standards are consistent in translated versions of a PRO instrument, the translated instrument undergoes a process known as Linguistic validation in which the preliminary translation is adapted to reflect cultural and linguistic differences between diverse target populations.[ citation needed ]

Preference-based

Preference-based PROs can be used for the computation of a quality-adjusted life year. A preference based PRO has an algorithm attached to the PRO instrument which can 'weigh' the outcomes reported by patients according to the preferences for health outcomes of a group of individuals such as the general public or of patient groups. The purpose of this 'weighing' is to make sure that elements of health that are very important receive larger weight when computing sum scores. For example, individuals may consider problems with their mood to be more important than limitations in usual activities. Examples of generic preference-based PROs are the Health Utilities Index and the EQ-5D. Condition-targeted preference-based PROs also exist, but there are some questions regarding their comparability to generic PROs when used for the computation of Quality Adjusted Life Years. [17]

Examples

Many of the common generic PRO tools assess health-related quality of life or patient evaluations of health care. For example, the SF-36 Health Survey, SF-12 Health Survey, Profile, the Nottingham Health Profile, the Health Utilities Index, the Quality of Well-Being Scale, the EuroQol (EQ-5D), and the Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey instruments are PRO instruments.[ citation needed ]

Condition-targeted tools may capture any of the constructs listed above, depending on the purpose for which they were designed. Examples include the Adult Asthma Quality of Life Questionnaire (AQLQ), the Kidney Disease Quality of Life Instrument, National Eye Institute Visual Functioning Questionnaire, Epilepsy Surgery Inventory, Migraine Specific Quality of Life (MSQOL), the Ankylosing Spondylitis Quality of Life questionnaire (ASQoL) and the Seattle Angina Questionnaire (SAQ), to name a few.[ citation needed ]

PROMS in the AJRR

The American Joint Replacement Registry (AJRR) launched their Level III patient-reported outcome (PRO) platform in November 2015 [18] and switched to a new version created and hosted by Ortech Systems in 2016. AJRR imports the PRO data into the AJRR’s Demand Reporting & Electronic Dashboard system. Clinical staff is able to access patient data while having the ability to manage PRO surveys electronically via a secure patient portal. The AJRR Dashboard system can also pull site-specific patient reports and summary results for each PRO measure supported on the AJRR system. [18]

AJRR collaborated with several orthopaedic organizations to identify the specific measures that AJRR should recommend and that may be used as national benchmarks. Even though specific measures are recommended, AJRR understands that some institutions may have in place a long-standing PRO data collection process. Participating hospitals are able to submit and retrieve these alternative measures, but there will not be national benchmarks available for them. [18]

PROMs in the NHS

Since 1 April 2009 all providers of care funded by the National Health Service (NHS) in England have been required to provide patient-reported outcome measures (PROMs) in four elective surgical procedures: hip replacement, knee replacement, varicose vein surgery and hernia surgery. [19] [20] Patients are asked to complete a questionnaire before undergoing the surgical procedure; a follow-up questionnaire is then sent to the patient some weeks or months later. [21] Patient participation is, however, not compulsory. [22]

In December 2013 a team from the London School of Hygiene and Tropical Medicine reviewed the first three years of NHS PROMs data which captured responses from more than 50,000 patients who underwent groin hernia repair, varicose vein surgery or hip or knee replacements. They found "no grounds to suggest we should start cutting the amount of surgery we are doing". [23]

In drug licensing and label claims

Patient-reported outcomes are important in a regulatory context. The US Food and Drug Administration (FDA) has issued formal Guidance to Industry on PROs in label claims [24] and the European Medicines Agency (EMA) has produced a reflection paper on HRQoL. [25] Increasing numbers of regulatory submissions for new drugs provide PRO data to support claims. DeMuro et al. (2013) [26] have reviewed drug approvals for the years 2006–2010. They showed that of 75 drugs approved by both agencies, 35 (47%) had at last one PRO-related claim approved by the EMA compared to 14 (19%) for the FDA. The FDA was more likely to approve claims for symptom reduction, while the EMA approved relatively more claims for improvement in functioning or HrQoL.[ citation needed ]

PROMs in Multimodal Pain Therapy

Operationalizing success in multi-modal pain therapy is a challenge and is up to now characterized by tremendous heterogeneity. [27] There are efforts to define core sets of patient-relevant outcome variables to be measured in clinical trials in general [28] and for multi-modal pain therapy. [29] Meanwhile, a core outcome measure set based on PROMS was developed with routine data and validated for operationalizing success in multimodal pain therapy. [30] Validation studies suggest also suitability for depicting long-term success in the sense of sustainability of treatment effects. [11]

PROMs in Epilepsy in Rural Maharashtra, India

Epilepsy accounts for a significant proportion of the world's disease burden, affecting 1% of the population [31] [ circular reference ] by age 20 and 3% of the population by age 75. The prevalence of epilepsy in Maharashtra is estimated to be 1 million people. Epilepsy Foundation of India [32] has been providing free diagnosis and treatment to people living with epilepsy across rural Maharashtra since 2011. Since 2018, they have been using MedEngage services to collect PROs from thousands of patients across the state. Patients use a zero-cost helpline to report outcomes every 2–3 months related to adherence, medicine availability, seizure frequency, healthcare related quality of life, and a few other parameters. All PROMs are analyzed [33] to help guide public policy and optimize resource allocation for people living with epilepsy in Maharashtra.

PROMs in physiotherapy practice, India

Patient‑reported outcome measures (PROMs) are increasingly being used in the field of physiotherapy in India and they are primarily used to determine clinical improvement in patients following an intervention. The lack of instruments in non‑English speaking nations is a significant challenge. Moreover professionals’ understanding of the construct, development, and psychometric validation of PROMs are uncertain. A Cross Cultural Adaptation requires a translation process based on criteria, as well as an assessment of psychometric features in the target language. The real challenges include cultural adaptation of the items rather than a word‑for‑word translation[ citation needed ]

Relationship to other data

The term Patient Reported Health Data was also introduced in 2018 to include patient reported data that are not outcomes (e.g., patient reported comorbidities, medications, hospitalizations).

See also

Related Research Articles

A pain scale measures a patient's pain intensity or other features. Pain scales are a common communication tool in medical contexts, and are used in a variety of medical settings. Pain scales are a necessity to assist with better assessment of pain and patient screening. Pain measurements help determine the severity, type, and duration of the pain, and are used to make an accurate diagnosis, determine a treatment plan, and evaluate the effectiveness of treatment. Accurately measuring pain is a necessity in medical settings, especially if the pain measurement is going to be used as a screening tool, either for potential diseases or medical problems, or as a type of triage to determine urgency of one patient over another. Pain scales are based on trust, cartoons (behavioral), or imaginary data, and are available for neonates, infants, children, adolescents, adults, seniors, and persons whose communication is impaired. Pain assessments are often regarded as "the 5th vital sign".

<span class="mw-page-title-main">PatientsLikeMe</span> Health management social networking website

PatientsLikeMe is an integrated community, health management, and real-world data platform. The platform currently has over 830,000 members who are dealing with more than 2,900 conditions. Data generated by patients themselves are systemically collected and quantified with the goal of providing an environment for peer support and learning. These data capture the complex temporality and competing influences of different lifestyle choices, socio-demographics, conditions and treatments on a person's health. While striving to empower the community with personal agency, PLM has also established itself as a clinical resource with more than 100 studies in peer-reviewed medical and scientific journals.

<span class="mw-page-title-main">Quality of life (healthcare)</span> Notion in healthcare

In general, quality of life is the perceived quality of an individual's daily life, that is, an assessment of their well-being or lack thereof. This includes all emotional, social and physical aspects of the individual's life. In health care, health-related quality of life (HRQoL) is an assessment of how the individual's well-being may be affected over time by a disease, disability or disorder.

Linguistic validation is the process of investigating the reliability, conceptual equivalence, and content validity of translations of patient-reported outcome (PRO) measures.

An electronic patient-reported outcome (ePRO) is a patient-reported outcome that is collected by electronic methods. ePRO methods are most commonly used in clinical trials, but they are also used elsewhere in health care. As a function of the regulatory process, a majority of ePRO questionnaires undergo the linguistic validation process. When the data is captured for a clinical trial, the data is considered a form of Electronic Source Data.

The Diabetes Health Profile (DHP) is a diabetes-specific patient reported outcome measure (PROM) developed to evaluate the health-related quality of life (HRQoL) of people living with Type 1 and Type 2 diabetes aged 16 years and older. It has been used in community surveys, research studies, clinical trials, and educational interventions both in Europe and completed globally by more than 10,000 patients. The DHP was the diabetes-specific PROM selected by the UK Department of Health for their Long Terms Conditions PROM Pilot Study being carried out by Oxford University.

The Patient-Reported Outcomes Measurement Information System (PROMIS) provides clinicians and researchers access to reliable, valid, and flexible measures of health status that assess physical, mental, and social well–being from the patient perspective. PROMIS measures are standardized, allowing for assessment of many patient-reported outcome domains—including pain, fatigue, emotional distress, physical functioning and social role participation—based on common metrics that allow for comparisons across domains, across chronic diseases, and with the general population. Further, PROMIS tools allow for computer adaptive testing, efficiently achieving precise measurement of health status domains with few items. There are PROMIS measures for both adults and children. PROMIS was established in 2004 with funding from the National Institutes of Health (NIH) as one of the initiatives of the NIH Roadmap for Medical Research.


The Oxford Hip Score (OHS) is a standard patient-reported outcome (PRO) measure, or PROM, developed to assess function and pain in patients undergoing total hip replacement (THR) surgery, particularly in the context of clinical trials. The OHS has also been used for the assessment of patient outcomes, including physical therapy, and use of joint supplements(disease specific and general health measure are two other outcome measures)

The Migraine Specific Quality of Life (MSQoL) is a patient-reported outcome measure which assesses the quality of life of migraineurs. It is a 25-item questionnaire which is filled out by the patient and is used to determine how the patient's life has been affected by their migraines.

The Ankylosing Spondylitis Quality of Life (ASQoL) questionnaire is a patient-reported outcome (PRO) measure which assesses the quality of life of patients with ankylosing spondylitis. The ASQoL is based on the needs-based quality of life model. It is a self-administered questionnaire which contains 18 items and takes up to four minutes to complete.

The Quality of Life Assessment of Growth Hormone Deficiency in Adults (QoL-AGHDA) is a disease specific patient-reported outcome measure which measures the effect growth hormone deficiency has on adult patients. The score of the QoL-AGHDA is used to determine the extent to which growth hormone deficiency has affected the patient’s quality of life, and what treatment can then be administered. A high score on the QoL-AGHDA indicates that the patient suffers from many symptoms and therefore has a lower quality of life.

The Cambridge Pulmonary Hypertension Outcome Review (CAMPHOR) is a disease specific patient-reported outcome measure which assesses quality of life of patients with pulmonary hypertension (PH). It was the first pulmonary hypertension specific questionnaire for assessing patient reported symptoms, quality of life and functioning.

The Quality of Life In Depression Scale (QLDS), originally proposed by Sonja Hunt and Stephen McKenna, is a disease specific patient-reported outcome which assesses the impact that depression has on a patient's quality of life. It is the most commonly used measure of quality of life in clinical trials and studies of depression. The QLDS was developed as a measure to be used in future clinical trials of anti-depressant therapy.

The Quality of Well-Being Scale (QWB) is a general health quality of life questionnaire which measures overall status and well-being over the previous three days in four areas: physical activities, social activities, mobility, and symptom/problem complexes.

EQ-5D is a standardised measure of health-related quality of life developed by the EuroQol Group to provide a simple, generic questionnaire for use in clinical and economic appraisal and population health surveys. EQ-5D assesses health status in terms of five dimensions of health and is considered a ‘generic’ questionnaire because these dimensions are not specific to any one patient group or health condition. EQ-5D can also be referred to as a patient-reported outcome (PRO) measure, because patients can complete the questionnaire themselves to provide information about their current health status and how this changes over time. ‘EQ-5D’ is not an abbreviation and is the correct term to use when referring to the instrument in general.

Functional Assessment of Cancer Therapy - General (FACT-G) is a patient-reported outcome measure used to assess health-related quality of life in patients undergoing cancer therapy. The FACT-G is the original questionnaire that led to the development of the larger Functional Assessment of Chronic Illness Therapy (FACIT) collection of quality of life instruments. The survey assesses the impacts of cancer therapy in four domains: physical, social/family, emotional, and functional. The FACT-G is also offered with additional questions measuring cancer-specific factors that may affect quality of life, leading to the creation of the Functional Assessment of Cancer Therapy - Head and Neck (FACT-H&N), the Functional Assessment of Cancer Therapy - Lung (FACT-L), and 18 others.

ISPOR—The Professional Society for Health Economics and Outcomes Research, better known as ISPOR, is a nonprofit global professional organization in health economics and outcomes research. It was founded in 1995 as an international multidisciplinary professional organization that advances the policy, science, and practice of pharmacoeconomics and outcomes research. The society's mission is to promote health economics and outcomes research to improve decision making for health globally.

Jane Miranda Blazeby is a professor of surgical medicine at the University of Bristol and in 2021 she was elected a fellow of the Academy of Medical Sciences. She is known for her work on the quality of life experienced by people following surgery.

<span class="mw-page-title-main">Donald L. Patrick</span> American social scientist

Donald L. Patrick is a social scientist, academic, and an author. He is a Professor Emeritus of Health Systems and Population Health at the University of Washington, Director of Seattle Quality of Life Group, and Creator of the Biobehavioral Cancer Prevention and Control Training Program jointly with the Fred Hutchinson Cancer Center. He has served as the co-chair of the Cochrane Collaboration's Patient Reported Outcomes Methods Group. His research interests revolve around various aspects of public health which integrate the themes from fields such as psychological intervention, social stratification, public health, and quality of life. Much of his research works have focused on outcomes research on vulnerable populations, health disparities, and end-of-life-care.

References

  1. Marquis P, Caron M, Emery MP, et al. (2011). "The Role of Health-Related Quality of Life Data in the Drug Approval Processes in the US and Europe: A Review of Guidance Documents and Authorizations of Medicinal Products from 2006 to 2010". Pharm Med. 25 (3): 147–60. doi:10.1007/bf03256856. S2CID   31174846. Archived from the original on 2012-06-14. Retrieved 2011-10-19.
  2. Bottomley, Andrew; Jones, Dave; Claassens, Lily (Feb 2009). "Patient-reported outcomes: assessment and current perspectives of the guidelines of the Food and Drug Administration and the reflection paper of the European Medicines Agency". European Journal of Cancer. 45 (3): 347–353. doi:10.1016/j.ejca.2008.09.032. ISSN   1879-0852. PMID   19013787.
  3. Pugliese, Patrizia; Perrone, Maria; Nisi, Enrica; Garufi, Carlo; Giannarelli, Diana; Bottomley, Andrew; Terzoli, Edmondo (2006). "An integrated psychological strategy for advanced colorectal cancer patients". Health and Quality of Life Outcomes. 4: 9. doi: 10.1186/1477-7525-4-9 . ISSN   1477-7525. PMC   1409769 . PMID   16460566. Open Access logo PLoS transparent.svg
  4. Kuliś, Dagmara; Arnott, María; Greimel, Elfriede R.; Bottomley, Andrew; Koller, Michael (Jun 2011). "Trends in translation requests and arising issues regarding cultural adaptation". Expert Review of Pharmacoeconomics & Outcomes Research . 11 (3): 307–314. doi:10.1586/erp.11.27. ISSN   1744-8379. PMID   21671700. S2CID   27945868.
  5. Bottomley, Andrew (2002). "The cancer patient and quality of life". The Oncologist. 7 (2): 120–125. doi: 10.1634/theoncologist.7-2-120 . ISSN   1083-7159. PMID   11961195. S2CID   20903110.
  6. Scott, Neil W.; Fayers, Peter M.; Aaronson, Neil K.; Bottomley, Andrew; de Graeff, Alexander; Groenvold, Mogens; Koller, Michael; Petersen, Morten A.; Sprangers, Mirjam A. G. (Aug 2008). "The relationship between overall quality of life and its subdimensions was influenced by culture: analysis of an international database". Journal of Clinical Epidemiology. 61 (8): 788–795. doi:10.1016/j.jclinepi.2007.08.015. ISSN   0895-4356. PMID   18359194.
  7. Scott, NW; et al. (2010). "Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression". Health and Quality of Life Outcomes. Health and Quality of Life Outcomes 8:81. 8: 81. doi: 10.1186/1477-7525-8-81 . PMC   2924271 . PMID   20684767.
  8. Erik Cambria; Tim Benson; Chris Eckl; Amir Hussain (2012). "Sentic PROMs: Application of Sentic Computing to the Development of a Novel Unified Framework for Measuring Health-Care Quality". Expert Systems with Applications, Elsevier. doi:10.1016/j.eswa.2012.02.120.
  9. Crossnohere, Norah L.; Brundage, Michael; Calvert, Melanie J.; King, Madeleine; Reeve, Bryce B.; Thorner, Elissa; Wu, Albert W.; Snyder, Claire (2021). "International guidance on the selection of patient-reported outcome measures in clinical trials: a review" (PDF). Quality of Life Research. 30 (1): 21–40. doi:10.1007/s11136-020-02625-z. ISSN   0962-9343. PMID   32926299. S2CID   221643850.
  10. Chu, Dominic; Popovic, Marko; Chow, Edward; Cella, David; Beaumont, Jennifer L.; Lam, Henry; Nguyen, Jasmine; Di Giovanni, Julia; Pulenzas, Natalie (Sep 2014). "Development, characteristics and validity of the EORTC QLQ-PR25 and the FACT-P for assessment of quality of life in prostate cancer patients". Journal of Comparative Effectiveness Research . 3 (5): 523–531. doi:10.2217/cer.14.41. ISSN   2042-6313. PMID   25350803.
  11. 1 2 Donath, Carolin; Geiß, Christa; Schön, Christoph (Feb 2018). "Validation of a core patient-reported-outcome measure set for operationalizing success in multi-modal pain therapy". BMC Health Services Research. 18 (117): 117. doi: 10.1186/s12913-018-2911-6 . PMC   5816476 . PMID   29454344.
  12. Winstanley, Julie B.; Young, Teresa E.; Boyle, Frances M.; Bergenmar, Mia; Bottomley, Andrew; Burmeister, Bryan; Campana, Luca G.; Garioch, Jennifer J.; King, Madeleine (Feb 2015). "Cross-cultural development of a quality-of-life measure for patients with melanoma: phase 3 testing of an EORTC Melanoma Module". Melanoma Research. 25 (1): 47–58. doi:10.1097/CMR.0000000000000122. ISSN   1473-5636. PMID   25325247. S2CID   29893163.
  13. Yekaninejad, Mir S.; Ahmadzadeh, Ahmad; Mosavi, Seyed H.; Saffari, Mohsen; Pakpour, Amir H.; Tolooei, Fatemeh; Chow, Edward; Bottomley, Andrew (Feb 2014). "The reliability and validity of the Iranian version of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire for patients with Bone Metastases: the EORTC QLQ-BM22". Expert Review of Pharmacoeconomics & Outcomes Research. 14 (1): 147–156. doi:10.1586/14737167.2014.864559. ISSN   1744-8379. PMID   24328844. S2CID   34129926.
  14. Bottomley, Andrew; Aaronson, Neil K. (Nov 10, 2007). "International perspective on health-related quality-of-life research in cancer clinical trials: the European Organisation for Research and Treatment of Cancer experience". Journal of Clinical Oncology. 25 (32): 5082–5086. doi:10.1200/JCO.2007.11.3183. ISSN   1527-7755. PMID   17991925.
  15. Taphoorn, Martin J. B.; Claassens, Lily; Aaronson, Neil K.; Coens, Corneel; Mauer, Murielle; Osoba, David; Stupp, Roger; Mirimanoff, René O.; van den Bent, Martin J. (Apr 2010). "An international validation study of the EORTC brain cancer module (EORTC QLQ-BN20) for assessing health-related quality of life and symptoms in brain cancer patients". European Journal of Cancer. 46 (6): 1033–1040. doi:10.1016/j.ejca.2010.01.012. ISSN   1879-0852. PMID   20181476.
  16. Holzner, Bernhard; Efficace, Fabio; Basso, Umberto; Johnson, Colin D.; Aaronson, Neil K.; Arraras, Juan I.; Smith, Allan B.; Chow, Edward; Oberguggenberger, Anne S. (Mar 2013). "Cross-cultural development of an EORTC questionnaire to assess health-related quality of life in patients with testicular cancer: the EORTC QLQ-TC26". Quality of Life Research. 22 (2): 369–378. doi:10.1007/s11136-012-0147-1. ISSN   1573-2649. PMC   3576569 . PMID   22407356.
  17. Versteegh, Matthijs; Leunis, Annemieke; Uyl-deGroot, Carin; Stolk, Elly (May 2012). "Condition-Specific Preference-Based Measures: Benefit or Burden?". Value in Health. 15 (3): 503–513. doi: 10.1016/j.jval.2011.12.003 . PMID   22583461.
  18. 1 2 3 Michalesko, Erik. "AJRR Launches Patient-reported Outcome Platform". ajrr.net. Retrieved 2016-02-02.
  19. "Patient Reported Outcomes Measures (PROMs)". NHS Information Centre. Retrieved 1 September 2012.
  20. "Guidance on the routine collection of Patient Reported Outcome Measures (PROMs)". Department of Health, England. Retrieved 1 September 2012.
  21. "What are PROMs?". NHS Choices. Retrieved 1 September 2012.
  22. "PROMs: Frequently asked questions". NHS Choices. Retrieved 1 September 2012.
  23. "PROMs show no evidence of inappropriate surgery". Health Service Journal. 9 December 2013. Retrieved 15 December 2013.
  24. "Guidance for Industry. Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims" (PDF). U.S. Department of Health and Human Services. Retrieved 6 August 2014.
  25. "REFLECTION PAPER ON THE REGULATORY GUIDANCE FOR THE USE OF HEALTHRELATED QUALITY OF LIFE (HRQL) MEASURES IN THE EVALUATION OF MEDICINAL PRODUCTS" (PDF). European Medicines Agency. Retrieved 6 August 2014.
  26. DeMuro C, Clark M, Doward L, Evans E, Mordin M, Gnanasakthy A (2013). "Assessment of PRO label claims granted by the FDA as compared to the EMA (2006-2010)". Value in Health. 16 (8): 1150–5. doi: 10.1016/j.jval.2013.08.2293 . PMID   24326168.
  27. Deckert, S.; Kaiser, U.; Trautmann, F.; Sabatowski, R.; Schmitt, J. (Jan 2016). "A systematic review of the outcomes reported in multimodal pain therapy for chronic pain". European Journal of Pain. 20 (1): 51–63. doi:10.1002/ejp.721. PMID   26031689. S2CID   4964545.
  28. Prinsen, Cecilia A. C.; Vohra, Sunita; Rose, Michael R.; King-Jones, Susanne; Ishaque, Sana; Bhaloo, Zafira; Adams, Denise; Terwee, Caroline B. (Jun 2014). "Core Outcome Measures in Effectiveness Trials (COMET) initiative: protocol for an international Delphi study to achieve consensus on how to select outcome measurement instruments for outcomes included in a 'core outcome set'". Trials. 15 (247): 247. doi: 10.1186/1745-6215-15-247 . PMC   4082295 . PMID   24962012.
  29. Kaiser, Ulrike; Kopkow, Christian; Deckert, Stefanie; Sabatowski, Rainer; Schmitt, Jochen (Nov 2015). "Validation and application of a core set of patient-relevant outcome domains to assess the effectiveness of multimodal pain therapy (VAPAIN): a study protocol". BMJ Open. 5 (11): e008146. doi:10.1136/bmjopen-2015-008146. PMC   4636634 . PMID   26547084.
  30. Donath, Carolin; Dorscht, Lisa; Graessel, Elmar; Sittl, Reinhard; Schoen, Christoph (Jul 2015). "Searching for success: Development of a combined patient-reported-outcome ("PRO") criterion for operationalizing success in multi-modal pain therapy". BMC Health Services Research. 15 (272): 272. doi: 10.1186/s12913-015-0939-4 . PMC   4504445 . PMID   26184646.
  31. "Epilepsy Epidemiology".
  32. "Epilepsy Foundation of India".
  33. "The digitalisation of Rural Epilepsy camps with 24/7 online telephonic support to the patient - Case Study".