Attitudes towards exercise among medical specialists who manage patients with pulmonary hypertension.
Karen S W ChiaPeter K K WongSenen GonzalezEugene KotlyarSteven G FauxChristine T ShinerPublished in: Pulmonary circulation (2020)
Exercise training was not traditionally recommended for patients with pulmonary hypertension. However, recent work has demonstrated that exercise improves endurance and quality-of-life in patients with pulmonary hypertension. Unfortunately, patients with pulmonary hypertension are often sedentary. While some studies have examined patient attitudes to exercise, none have investigated physician perspectives on exercise in patients with pulmonary hypertension. This multinational survey of physicians involved in treating patients with pulmonary hypertension sought to ascertain physician attitudes to exercise and physician-identified barriers and enablers of exercise in this patient population. We collected cross-sectional survey data from a cohort of 280 physicians, including rehabilitation physicians, cardiologists, respiratory physicians and rheumatologists. We found that overall, 86% physicians recommended exercise, in line with current guidelines, although there were differences in the rationale for prescribing exercise and in the type of exercise prescription. Barriers to exercise included patient-related factors, such as patient ill health preventing exercise; poor patient motivation and lack of understanding regarding the benefits of exercise. Systemic barriers included cost/funding issues and limited availability of appropriate services. Perceived enablers of exercise included access to appropriate programmes, provision of education and supportive treating clinicians. Further research is required to identify and implement interventions to promote physical activity in patients with pulmonary hypertension.
Keyphrases
- physical activity
- pulmonary hypertension
- high intensity
- primary care
- resistance training
- healthcare
- pulmonary artery
- mental health
- case report
- skeletal muscle
- body mass index
- body composition
- depressive symptoms
- machine learning
- high resolution
- sleep quality
- quality improvement
- health insurance
- artificial intelligence
- clinical practice
- high speed