Appraisal of patient-reported outcome measures in analogous diseases and recommendations for use in phase II and III clinical trials of pyruvate kinase deficiency

Purpose: Pyruvate kinase deficiency (PKD) is a rare disease and understanding of its epidemiology and associated burden remains limited. With no current curative therapy, clinical manifestations can be life threatening, clinically managed by maintaining adequate hemoglobin levels through transfusion and subsequent support, but with frequent complications. Treatment goals are to maintain/improve the patient’s quality of life. With new therapies, reliable, valid, and relevant patient-reported outcome (PRO) tools are required for use in clinical trials. Methods: Systematic literature search identified no current PRO tools for capturing/measuring the impact of PKD and treatments in clinical trials. Therefore, the search strategy was revised to consider conditions analogous to PKD in terms of symptoms and impacts that might serve as parallels to the experience in PKD; this included sickle cell anemia, thalassemia, and hemolytic anemia. Psychometric properties, strengths, and weakness of selected appropriate PRO instruments were compared, and recommendations made for choice of PRO tools. Results: In adult populations, EORTC QLQ C30 and SF-36v2 are recommended, the former being a basic minimum, covering generic HRQoL, and core symptoms such as fatigue. In pediatric populations, PedsQL Generic Core Scale to measure HRQoL and PedsQL MFS scale to measure fatigue are recommended. Conclusions: Some symptoms/life impacts may be unique to PKD and not observable in analogous conditions. A ‘Physico-Psychosocial Model’ derived from the ‘Medical Model’ is proposed to form the basis for a hypothesized conceptual framework to address the development of PKD-specific PRO instruments.Peer reviewedFinal Published versio

Development of an integrated product information management system

This thesis reports on a research project undertaken over a four year period investigating and developing a software framework and application for integrating and managing building product information for construction engineering. The research involved extensive literature research, observation of the industry practices and interviews with construction industry practitioners and systems implementers to determine how best to represent and present product information to support the construction process. Applicable product models for information representation were reviewed and evaluated to determine present suitability. The IFC product model was found to be the most applicable. Investigations of technologies supporting the product model led to the development of a software tool, the IFC Assembly Viewer, which aided further investigations into the suitability of the product model (in its current state) for the exchange and sharing of product information. A software framework, or reusable software design and application, called PROduct Information Management System (PROMIS), was developed based on a non-standard product model but with flexibility to work with the IFC product model when sufficiently mature. The software comprises three subsystems namely: ProductWeb, ModelManager.NET and Product/Project Service (or P2Service). The key features of this system were shared project databases, parametric product specification, integration of product information sources, and application interaction and integration through interface components. PROMIS was applied to and tested with a modular construction business for the management of product information and for integration of product and project information through the design and construction (production) process

Patient-reported outcomes: pathways to better health, better services, and better societies

This is the author accepted manuscript. The final version is available from the publisher via the DOI in this recordWhile the use of PROs in research is well established, many challenges lie ahead as their use is extended to other applications. There is consensus that health outcome evaluations that include PROs along with clinician-reported outcomes and administrative data are necessary to inform clinical and policy decisions. The initiatives presented in this paper underline evolving recognition that PROs play a unique role in adding the patient perspective alongside clinical (e.g., blood pressure) and organizational (e.g., admission rates) indicators for evaluating the effects of new products, selecting treatments, evaluating quality of care, and monitoring the health of the population. In this paper, we first explore the use of PRO measures to support drug approval and labeling claims. We critically evaluate the evidence and challenges associated with using PRO measures to improve healthcare delivery at individual and population levels. We further discuss the challenges associated with selecting from the abundance of measures available, opportunities afforded by agreeing on common metrics for constructs of interest, and the importance of establishing an evidence base that supports integrating PRO measures across the healthcare system to improve outcomes. We conclude that the integration of PROs as a key end point within individual patient care, healthcare organization and program performance evaluations, and population surveillance will be essential for evaluating whether increased healthcare expenditure is translating into better health outcomes.Jose M. Valderas was supported by an NIHR Clinician Scientist Award (NIHR/CS/010/024)

Predicting EQ-5D-5L crosswalk from the PROMIS-29 profile for the United Kingdom, France, and Germany

BACKGROUND: EQ-5D health state utilities (HSU) are commonly used in health economics to compute quality-adjusted life years (QALYs). The EQ-5D, which is country-specific, can be derived directly or by mapping from self-reported health-related quality of life (HRQoL) scales such as the PROMIS-29 profile. The PROMIS-29 from the Patient Reported Outcome Measures Information System is a comprehensive assessment of self-reported health with excellent psychometric properties. We sought to find optimal models predicting the EQ-5D-5L crosswalk from the PROMIS-29 in the United Kingdom, France, and Germany and compared the prediction performances with that of a US model. METHODS: We collected EQ-5D-5L and PROMIS-29 profiles and three samples representative of the general populations in the UK (n = 1509), France (n = 1501), and Germany (n = 1502). We used stepwise regression with backward selection to find the best models to predict the EQ-5D-5L crosswalk from all seven PROMIS-29 domains. We investigated the agreement between the observed and predicted EQ-5D-5L crosswalk in all three countries using various indices for the prediction performance, including Bland-Altman plots to examine the performance along the HSU continuum. RESULTS: The EQ-5D-5L crosswalk was best predicted in France (nRMSEFRA = 0.075, nMAEFRA = 0.052), followed by the UK (nRMSEUK = 0.076, nMAEUK = 0.053) and Germany (nRMSEGER = 0.079, nMAEGER = 0.051). The Bland-Altman plots show that the inclusion of higher-order effects reduced the overprediction of low HSU scores. CONCLUSIONS: Our models provide a valid method to predict the EQ-5D-5L crosswalk from the PROMIS-29 for the UK, France, and Germany