Related Experiment Video
Updated: Jul 17, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Secondary Use of Data: Non-Interventional Study Best Practices in Planning and Protocol Development
Juanzhi Fang1, Sara Bruce Wirta2, Kristijan Kahler1
1Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA.
This paper proposes best practices for conducting secondary data use Non-Interventional Studies (NIS). It outlines an ideal implementation process from concept to dissemination, offering guidance to avoid common pitfalls in NIS research.
Area of Science:
- Health research methodology
- Pharmaceutical sciences
- Epidemiology
Background:
- Existing guidelines address Non-Interventional Study (NIS) design but lack implementation specifics.
- Secondary use of data in NIS requires tailored best practices for effective execution.
Purpose of the Study:
- To propose a best practice framework for conducting Non-Interventional Studies (NIS) using secondary data.
- To provide researchers with a guide for planning, conducting, and reviewing NIS.
Main Methods:
- The study proposes a structured approach for NIS implementation: Study Concept, Protocol, Analysis Plan, Report, and Dissemination.
- It reviews common mistakes and key considerations at each stage of the NIS process.
Main Results:
- A comprehensive best practice model for secondary data use NIS is presented.
- Accessible resources and suggestions are provided for each step of the NIS lifecycle.
Conclusions:
- Adherence to the proposed best practices can enhance the quality and reliability of secondary data use NIS.
- This framework serves as a practical guide for researchers aiming to improve NIS conduct and outcomes.
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,...
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Data Collection II
Data Collection I
Study Design in Statistics
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...

