Time-series designs in clinical nursing research: human issues

Area of Science:

• Clinical research methodology
• Longitudinal study design

Background:

• Prospective time-series research requires extensive subject and investigator commitment.
• Existing literature inadequately addresses critical human factors in time-series methodology.
• Issues like subject retention, confidentiality, burnout, and role conflict impact study integrity.

Purpose of the Study:

• To highlight the importance of addressing human factors in prospective time-series research.
• To emphasize the need for strategies to mitigate challenges associated with longitudinal study designs.
• To underscore the impact of these factors on scientific integrity and cost.

Main Methods:

• Review of existing literature on time-series methodology.
• Identification of common human issues encountered in prospective longitudinal studies.
• Analysis of the implications of these issues for research design and execution.

Main Results:

• Human factors such as retention, confidentiality, burnout, and clinician-researcher role conflict are significant challenges.
• These issues are often overlooked in the methodological literature.
• Failure to address these factors can compromise scientific integrity and increase costs.

Conclusions:

• Prospective time-series research necessitates proactive management of human factors.
• Addressing retention, confidentiality, burnout, and role conflict is essential for successful longitudinal studies.
• Overlooking these issues leads to attrition, increased costs, and compromised research validity.