Work

Optimum Designs for Large Database Research in Musculoskeletal Pain Management

Year: 2020

Type: article

Abstract: ➢ In recent years, there has been an exponential increase in musculoskeletal pain-management research involving the use of large databases such as administrative health-care claims and clinical registries. ➢ These datasets can be powerful tools for researchers. However, research utilizing health data collected without a specific a priori research question in place is particularly sensitive to study design, and there are many pitfalls that researchers can encounter when working with large databases in the arena of musculoskeletal pain management. ➢ Here, we present optimal design strategies specific to musculoskeletal pain-management research utilizing large datasets and identify directions for future research in this area.

Source: Journal of Bone and Joint Surgery

DOI: 10.2106/jbjs.20.00001

Authors: Nicholas A. Bedard, Andrew J. Schoenfeld, Seoyoung C. Kim

Institutions: University of Iowa Hospitals and Clinics, Brigham and Women's Hospital, Harvard University

Language: English

Topic: Statistical Methods in Epidemiology

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

Funder: National Institute of Arthritis and Musculoskeletal and Skin Diseases