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Sensor and Survey Measures Associated With Daily Fatigue in HIV: Findings From a Mixed-Method Study.
Mary Beth Makic1, Danielle Gilbert, Catherine Jankowski
1Mary Beth Makic, PhD, RN, CNS, is a Professor, University of Colorado College of Nursing, Aurora, Colorado, USA. Danielle Gilbert, BA, is a Medical Student, University of Colorado School of Medicine, Aurora, Colorado, USA. Catherine Jankowski, PhD, is an Associate Professor, University of Colorado College of Nursing, Aurora, Colorado, USA. Blaine Reeder, PhD, is an Associate Professor, University of Missouri Sinclair School of Nursing, Columbia, Missouri, USA. Nasser Al-Salmi, RN, CNS, is a Doctoral Student, University of Colorado College of Nursing, Aurora, Colorado, USA. Whitney Starr, NP, is an Assistant Professor, University of Colorado School of Medicine, Aurora, Colorado, USA. Paul F. Cook, PhD, is an Associate Professor, University of Colorado College of Nursing, Aurora, Colorado, USA.
People living with HIV (PLWH) experience significant fatigue. Self-monitoring daily activities, sleep, and psychological states can help manage this common symptom.
Area of Science:
- Medical Research
- Psychology
- Public Health
Background:
- Fatigue is a prevalent symptom in people living with HIV (PLWH).
- Understanding the multifaceted nature of fatigue and self-management is crucial for improving quality of life.
- The Two Minds Theory provides a framework for exploring subjective experiences and behaviors.
Purpose of the Study:
- To characterize the fatigue experiences of PLWH.
- To identify self-management behaviors associated with fatigue.
- To explore the utility of self-monitoring technologies in understanding and managing fatigue.
Main Methods:
- Mixed-method approach combining daily smartphone surveys and qualitative interviews.
- 55 PLWH participated in 30-day smartphone surveys tracking psychological states and fatigue.
- Wearable technology (Fitbit Alta™) monitored physical activity and sleep patterns.
- Within-person multilevel models analyzed correlates of fatigue.
- Qualitative interviews provided in-depth experiential data.
Main Results:
- PLWH reported significant fatigue despite well-controlled HIV infection.
- Fatigue levels exhibited significant within-person variability over time.
- Key fatigue correlates included physical activity, sleep quality, daily psychological states, and self-care barriers.
- Self-monitoring provided PLWH with novel insights into their fatigue patterns.
- Participants expressed willingness to use technology for fatigue management.
Conclusions:
- Fatigue in PLWH is complex, influenced by physiological, behavioral, and psychological factors.
- Interventions targeting sleep, physical activity, and stress management may alleviate fatigue.
- Self-monitoring technologies offer a promising avenue for empowering PLWH in fatigue self-management.
- Further research can leverage technology to develop personalized fatigue management strategies for PLWH.
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