Physicians’ perception and barriers to cardiopulmonary rehabilitation for heart failure patients in Saudi Arabia: a cross-sectional study

Background: Cardiopulmonary rehabilitation (CR) serves as a core component of the management strategy for patients with heart failure (HF). CR is administered by multidisciplinary healthcare providers, but their perceptions toward delivering CR to HF patients, and the factors and barriers that might influence referral, have not been studied. This study aims to assess physicians’ perceptions toward delivering CR programs to HF patients and identify factors and barriers that might influence their referral decisions. Methods: Between 15 February and 5 June 2022, a cross-sectional online survey with ten multiple-choice items was distributed to all general and cardiac physicians in Saudi Arabia. The characteristics of the respondents were described using descriptive statistics. Percentages and frequencies were used to report categorical variables. The statistical significance of the difference between categorical variables was determined using the chi-square (2) test. Logistic regression was used to identify referral factors. Results: Overall, 513 physicians (general physicians (78%) and cardiac doctors (22%)) completed the online survey, of which 65.0% (n = 332) were male. Of the general physicians, 236 (59%) had referred patients with HF to CR. Sixty-six (58%) of the cardiac doctors had referred patients with HF to CR. A hospital-supervised program was the preferred mode of delivering CR programs among 315 (79%) general physicians, while 84 (74%) cardiac doctors preferred to deliver CR programs at home. Apart from the exercise component, information about HF disease was perceived by 321 (80%) general physicians as the essential component of a CR program, while symptom management was perceived by 108 (95%) cardiac doctors as the essential component of a CR program. The most common patient-related factor that strongly influenced referral decisions was “fatigue related to disease” (63.40%). The availability of CR centers (48%) was the most common barrier preventing the referral of patients to CR. Conclusions: CR is an effective management strategy for HF patients, but the lack of CR centers is a major barrier to the referral of patients. A hospital-supervised program is the preferred method of delivering CR from the general physicians’ perspective, while cardiac doctors prefer home-based CR programs. Apart from the exercise component, information about HF disease and symptom management is essential components of CR programs from general physicians’ and cardiac doctors’ perspectives, respectively

Impact of smoking status and nicotine dependence on academic performance of Health Sciences students

Background: Smoking behavior has been associated with poor academic performance among adult students worldwide. However, the detrimental effect of nicotine dependence on several students’ academic achievement indicators is still unclear. This study aims to assess the impact of smoking status and nicotine dependence on grade point average (GPA), absenteeism rate and academic warnings among undergraduate health sciences students in Saudi Arabia. Methods: A validated cross-sectional survey was conducted, in which, participants responded to questions evaluated cigarette consumption, urge to consume and dependency, learning performance, days of absentees, and academic warnings. Results: A total of 501 students from different health specialties have completed the survey. Of whom, 66% were male, 95% ranging between the age of 18– 30 years old, and 81% reported no health issues or chronic diseases. Current smokers estimated to be 30% of the respondents, of which 36% revealed smoking history of 2– 3 years. The prevalence of nicotine dependency (high to extremely high) was 50%. Overall, smokers had significantly lower GPA, higher absenteeism rate, and higher number of academic warnings when compared to nonsmokers (p< 0.001). Heavy smokers demonstrated significantly less GPA (p=0.036), higher days of absences (p=0.017), and more academic warnings (p=0.021) compared to light smokers. The linear regression model indicated a significant association between smoking history (increased pack-per-year) and poor GPA (p=0.01) and increased number of academic warning last semester (p=0.01), while increased cigarette consumption was substantially linked with higher academic warnings (p=0.002), lower GPA (p=0.01), and higher absenteeism rate for last semester (p=0.01). Conclusion: Smoking status and nicotine dependence were predictive of worsening academic performance, including lower GPA, higher absenteeism rate and academic warnings. In addition, there is a substantial and unfavorable dose–response association between smoking history and cigarette consumption with impaired academic performance indicators