Related Experiment Video
Updated: Jan 1, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Value in Research: Achieving Validated Outcome Measurements While Mitigating Follow-up Cost
Background:
Outcome-based research is dependent on effective follow-up, and often automated methods are augmented with costlier manual methods. The question remains as to whether the costly endeavor of achieving 80% follow-up is justified for patient-reported outcome measures (PROMs)-based research. This study evaluated associations between baseline patient characteristics and the required follow-up method, between the follow-up method and 1-year PROMs, and between baseline characteristics and 1-year PROMs for all patients compared with those for patients requiring only automated follow-up.
Methods:
The Orthopaedic Minimal Data Set Episode of Care (OME) database, which prospectively collects patient data and PROMs, was utilized to analyze 5,888 shoulder, hip, and knee surgical procedures at a large integrated health system. Patients were further grouped according to the method of follow-up (automated, manual, or non-responder). Associations between baseline characteristics and follow-up method were evaluated with multinomial logistic regression models. Associations of baseline characteristics with 1-year pain scores were evaluated with proportional odds logistic regression models.
Results:
Younger age was associated with a higher likelihood of requiring manual follow-up rather than automated follow-up for the knee surgery group (p < 0.001) and the shoulder surgery group (p < 0.001). The relative risk ratio of requiring the manual method for men undergoing a shoulder surgical procedure was 1.4 times that of women (p = 0.02). Better mental health and more education were associated with a higher likelihood of responding to automated follow-up for the hip surgery group (p < 0.001) and the knee surgery group (p = 0.001). There was no significant difference in distribution of 1-year pain scores between automated and manual follow-up methods for the knee surgery group (p = 0.51) and the shoulder surgery group (p = 0.17). There was a significant difference in 1-year pain scores for the hip surgery group (p = 0.03) that was not clinically meaningful.
Conclusions:
Baseline patient characteristics were significantly associated with follow-up requirements; however, there were no significant and clinically meaningful differences in 1-year PROMs. Limiting follow-up to automated methods may have the potential to transform the way that outcome-based research is designed and conducted to provide substantially better research value in large prospective cohorts.
Level Of Evidence:
Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.
More Related Videos
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Guidelines for Writing Outcome
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
Assumptions of Survival Analysis
Longitudinal Research
Blind Procedures
Reliability and Validity

