Single subject design: Use of time series analyses in a small cohort to understand adherence with a prescribed fluid restriction

• Authors: Carolyn Miller Reilly, Emory University; Melinda K Higgins, Emory University; Andrew L Smith, Emory University; Steven D Culler, Emory University; Sandra B Dunbar, Emory University
• Journal Title: Applied Nursing Research
• Volume: Volume 28, Number 4
• Publisher: WB Saunders | 2015-11-01, Pages 356-365
• Type of Work: Article | Post-print: After Peer Review
• Publisher DOI: http://doi.org/10.1016/j.apnr.2015.01.005
• Subjects: Health Sciences, Public Health; Health Sciences, Medicine and Surgery
• Keywords: Science & Technology; Life Sciences & Biomedicine; Nursing; Research design; Heart failure; Fluid therapy; Electric impedance; Self-care; CONGESTIVE-HEART-FAILURE; BREAST-CANCER SURVIVORS; QUALITY-OF-LIFE; ELDERLY-PATIENTS; INTRATHORACIC IMPEDANCE; RESOURCE UTILIZATION; RANDOMIZED-TRIAL; LIPID PROFILES; THERAPY; INTERVENTION

Abstract

Purpose: This paper presents a secondary in-depth analysis of five persons with heart failure randomized to receive an education and behavioral intervention on fluid restriction as part of a larger study. Methods: Using a single subject analysis design, time series analyses models were constructed for each of the five patients for a period of 180. days to determine correlations between daily measures of patient reported fluid intake, thoracic impedance, and weights, and relationships between patient reported outcomes of symptom burden and health related quality of life over time. Results: Negative relationships were observed between fluid intake and thoracic impedance, and between impedance and weight, while positive correlations were observed between daily fluid intake and weight. Conclusions: By constructing time series analyses of daily measures of fluid congestion, trends and patterns of fluid congestion emerged which could be used to guide individualized patient care or future research endeavors. Employment of such a specialized analysis technique allows for the elucidation of clinically relevant findings potentially disguised when only evaluating aggregate outcomes of larger studies.