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Patient Activation Among Community-Dwelling Persons Living With Chronic Obstructive Pulmonary Disease
Marnie M Wetzstein1, Linda L Shanta, Linda L Chlan
1Marnie M. Wetzstein, PhD, RN, CCRP, is RN Study Coordinator and King Hussein Nursing Research Postdoctoral Scholar, Division of Nursing Research, Mayo Clinic, Rochester, Minnesota. At the time this research was completed, she was a Doctoral Candidate at the University of North Dakota, Grand Forks. Linda Shanta, PhD, RN, ANEF, is Associate Dean, Phoenix Campus and Associate Professor, Creighton University College of Nursing, Phoenix, Arizona. At the time this research was completed, she was Clinical Associate Professor and Director Nurse Educator Track, University of North Dakota, Grand Forks. Linda Chlan, PhD, RN, ATSF, FAAN, is Associate Dean for Nursing Research and Professor of Nursing, Mayo Clinic, Rochester, Minnesota.
Activated self-management in chronic obstructive pulmonary disease (COPD) is linked to better health. Positive affect, smoking history, quality of life, and female gender predict higher patient activation in COPD patients.
Area of Science:
- Pulmonary Medicine
- Health Psychology
- Patient Self-Management
Background:
- Vigilant self-management is crucial for positive health outcomes in individuals with chronic obstructive pulmonary disease (COPD).
- However, the factors predicting activated self-management in COPD patients remain unclear.
- Understanding these predictors is essential for developing targeted interventions.
Purpose of the Study:
- To identify and describe the predictors of patient activation among community-dwelling adults with COPD in the United States.
- To explore the relationship between personal characteristics, health outcomes, and patient activation.
- To provide insights into enhancing self-management strategies for COPD.
Main Methods:
- A postal survey was administered to 64 adult participants with COPD.
- Data collected included demographic information, mood, symptoms, functional status, health perception, quality of life, and the Patient Activation Measure (PAM).
- Multivariate linear regression analysis was employed to identify predictors of PAM scores.
Main Results:
- Patient activation levels were generally high within the study sample.
- Multivariate analysis indicated that positive affect, smoking pack-years, overall quality of life, and female gender were significant predictors of patient activation, collectively explaining 45.4% of the variance.
- These findings highlight specific factors associated with higher levels of patient engagement in self-management.
Conclusions:
- Positive affect, gender, and lifestyle factors such as smoking history are novel predictors of high patient activation in individuals with COPD.
- These findings suggest that interventions aimed at improving mood, addressing lifestyle factors, and considering gender may enhance self-management in COPD.
- Further research is warranted to fully explicate these predictors and their implications for clinical practice.
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