ENSURING APPLICABILITY OF REAL WORLD EVIDENCE TO INDIVIDUAL PATIENT DECISION MAKING
Author(s)
Numapau NO1, Hess LM1, Brnabic A1, Cuyun Carter G1, Araujo AB2, Robinson R1, Swindle R1
1Eli Lilly, Indianapolis, IN, USA, 2ELI Lilly, Indianpolis, IN, USA
OBJECTIVES: Methods of analyzing real world evidence (RWE) have traditionally focused on population-based outcome assessments, whereas the application of RWE to address healthcare decision making for the individual patient is less well established. The primary objective of this study was to systematically review published methods using real world data sources to inform patient-level and patient-provider decision making. METHODS: A systematic literature review was conducted in MEDLINE and PsychInfo from 1/1/2000 to 9/18/2014. The search strategy included methodology, design and limited publications to cancer, diabetes, cardiovascular, Alzheimer’s disease, and rheumatologic conditions. A review of reference lists of identified articles enhanced the search strategy. Eligible studies were quantitative research that described statistical methodologies applicable to patient-provider decision making. Non-English and non-human studies were excluded. Articles were also excluded if they were qualitative research studies, reviews, policy/guidelines statements, or studies solely investigating a provider’s perspective. Following dual eligibility review, details of the study and research methodology were extracted and summarized. RESULTS: The search strategy identified 1088 publications. A preliminary review of 594 articles found 46 that were eligible. The methodologies used included prediction models based on logistic, multiple regression and Cox-regression models, multivariate risk analyses, discrete choice experiments, net reclassification, and classification trees. The review is currently ongoing and additional eligible articles will be identified. Details of the application of these methods to patient-provider decision making will be presented at the meeting. CONCLUSIONS: There is a need to incorporate methods in research studies to support evidence-based patient-level decision making. This systematic literature review has sought to identify methods and exemplars that will enable researchers to produce work to inform patient-provider decision making. This review will make recommendations regarding appropriate methods for scientists and investigators conducting patient-centered research. Future research should consider these approaches to incorporate methods that will support evidence-based patient decision making.
Conference/Value in Health Info
2015-05, ISPOR 2015, Philadelphia, PA, USA
Value in Health, Vol. 18, No. 3 (May 2015)
Code
PRM126
Topic
Methodological & Statistical Research
Topic Subcategory
Confounding, Selection Bias Correction, Causal Inference
Disease
Cardiovascular Disorders, Diabetes/Endocrine/Metabolic Disorders, Neurological Disorders, Oncology