Overcoming Challenges With Rural-Related Health Data: Lessons Learned From Published Studies

Research is essential for understanding rural communities' health needs and identifying effective programs and policies; however, data quality issues and other limitations can weaken the evidence. A systematic review of rural-related studies using secondary, quantitative data was conducted to identify strategies that could help overcome challenges related to rural data, with a focus on the limitations section of included studies.

Key Takeaways:

• Over half of included rural-related studies identified at least one potential strategy for overcoming study-related limitations or challenges, including those concerning data, within the limitations section.
• Data source strategies included using large, representative data sources and using established definitions of rurality.
• Data analysis strategies included using specific techniques like sensitivity analysis and testing multiple measures of rurality.
• Given the importance of rural data for understanding and improving the health of rural communities, researchers, data owners, and others should explore and use methods to facilitate robust and timely rural analyses.