Interpreting and Reporting Results Based on Patient-Reported Outcomes

AbstractThis article deals with the incorporation of patient-reported outcomes (PROs) into clinical trials and focuses on issues associated with the interpretation and reporting of PRO data. The primary focus and context of this information relates to the evidentiary support and reporting for a labeling or advertising claim of a PRO benefit for a new or approved pharmaceutical product. This manuscript focuses on issues associated with assessing clinical significance and common pitfalls to avoid in presenting results related to PROs. Specifically, the questions addressed by this manuscript involve: What are the best methods to assess clinical significance for PROs? How should investigators present PRO data most effectively in a Food and Drug Administration (FDA) application? In labeling or in a scientific publication? Guidelinesfor interpreting clinical significance of PROs and for comprehensively reporting on the methods, measures and results of clinical trials that incorporate PROs are important for clinicians, regulatory agencies, and most of all to patients. Clear specifications for considering a finding on a PRO measure, as clinically meaningful, need to be determined by instrument developers and psychometricians; they need to be reported for all clinical trials involving PRO end points. Clinical trial reports need to be comprehensive, clear, and sufficient to enable any reader to understand the methods, PRO measures, statistical analysis, and results

Analysis and Interpretation of Results Based on Patient-Reported Outcomes

AbstractThis article is part of a series of manuscripts dealing with the incorporation of patient-reported outcomes (PROs) into clinical trials. The issues dealt with in this manuscript concern the common pitfalls to avoid in statistical analysis and interpretation of PROs. Specifically, the questions addressed by this manuscript involve the analysis pitfalls with PRO data in clinical trials and how can they be avoided (e.g.,missing data, multiplicity, null results etc.). The manuscript provides key literature for existing resources and proposes new guidelines

Interpreting and Reporting Results Based on Patient-Reported Outcomes

ABSTRACT This article deals with the incorporation of patient-reported outcomes (PROs) into clinical trials and focuses on issues associated with the interpretation and reporting of PRO data. The primary focus and context of this information relates to the evidentiary support and reporting for a labeling or advertising claim of a PRO benefit for a new or approved pharmaceutical product. This manuscript focuses on issues associated with assessing clinical significance and common pitfalls to avoid in presenting results related to PROs. Specifically, the questions addressed by this manuscript involve: What are the best methods to assess clinical significance for PROs? How should investigators present PRO data most effectively in a Food and Drug Administration (FDA) application? In labeling or in a scientific publication? Guidelinesfor interpreting clinical significance of PROs and for comprehensively reporting on the methods, measures and results of clinical trials that incorporate PROs are important for clinicians, regulatory agencies, and most of all to patients. Clear specifications for considering a finding on a PRO measure, as clinically meaningful, need to be determined by instrument developers and psychometricians; they need to be reported for all clinical trials involving PRO end points. Clinical trial reports need to be comprehensive, clear, and sufficient to enable any reader to understand the methods, PRO measures, statistical analysis, and results

Analysis and Interpretation of Results Based on Patient-Reported Outcomes

ABSTRACT This article is part of a series of manuscripts dealing with the incorporation of patient-reported outcomes (PROs) into clinical trials. The issues dealt with in this manuscript concern the common pitfalls to avoid in statistical analysis and interpretation of PROs. Specifically, the questions addressed by this manuscript involve the analysis pitfalls with PRO data in clinical trials and how can they be avoided (e.g.,missing data, multiplicity, null results etc.). The manuscript provides key literature for existing resources and proposes new guidelines

Some representation theorems in analysis

M.S.Eric R. Imme

Documentation and evaluation of Depot Maintenance Cost System coding and reporting by Department of Defense depots

The purpose of this research project is to document and examine the coding processes used by depots in accumulating cost data reported to the Office of the Assistant Secretary of Defense for Manpower, Installations, and Logistics (OASD,MI&L). The analysis in this study is based on information obtained from on-site visits to the Sacramento Air Logistics Center, Sacramento, California, and the Naval Air Rework Facility, North Island, San Diego, California. The results of this study indicated that the coding processes used by both depots generate data variations and biases in the OASD (MI&L) Depot Maintenance Cost System. In addition, the study revealed that variations do not occur on a consistent basis and, therefore, methods need to be developed to identify and segregate the effects of different coding processes used by depots.http://archive.org/details/documentationeva00guesLieutenant Commander, United States NavyApproved for public release; distribution is unlimited