This cross-sectional study, as part of a larger study, was carried out in the clinics of Imam Reza teaching and treatment center, Tabriz, in late September, 2016. Research population included 198 residents in the fields of general medicine, gastroenterology, nephrology, pulmonary, endocrinology, and rheumatology (n = 46 residents), infectious diseases (n = 30) neurology (n = 22), surgery (n = 30), neurosurgery (n = 16), urology (n = 12), orthopedics (n = 23), and ENT (n = 19). Considering the total number of residents in each clinical ward, stratified random sampling method was used to calculate the number of residents in each ward. To avoid sampling bias, patients’ satisfaction with residents’ communication skills in each discipline was measured in a decentralized manner, on different days.
To reduce the impact of confounding variables, the principal researcher of the project (MN) introduced himself and explained research objectives to the patients.
According to the rule of thumb regarding considering 40 samples for any potential parameter, a sample size of 420 was considered sufficient for a multivariate analysis. The sample size was re-estimated after conducting a pilot study and there was no need to adjust the sample size. By taking issues of random sampling method into consideration, a final sample size of 510 was estimated.
Research questionnaire was submitted to 510 patients and 488 questionnaires were filled out. (Response Rate: 96%).
Research questionnaire was the Persian version of the patient satisfaction questionnaire (PSQ) of Royal College of General Practitioners RCGP (
11), which was validated in the previous part of our larger study.
After obtaining written consents from head of clinical departments and residents, patients’ satisfaction with the residents’communication skills was assessed after patients were visited. Although residents agreed with the assessment of their patients' satisfaction, they were not aware of the exact date and time their patients would be surveyed. Patients were encouraged to participate voluntarily; the principle of the confidentiality of the information was described to them.
The patients rated their satisfaction with all the 10 physician-patient communication skills, based on a 7-point Likert scale. 20 patients of each resident were surveyed.
Patients’demographic characteristics, including their age, gender, marital status, educational level, residential area, job, income, the name of the clinic they visited, insurance coverage type, and the socio-economic level of their family, were asked and recorded as well.
The overall score from the 10 items of the PSQ were normalized based on the standard value between 0 and 100, as the maximum and the minimum achievable scores were considered 100 and 0, respectively.
The data were analyzed using STATA V13. Descriptive analysis was used for describing the research variables and depending on the normality of distribution of research data, the Pearson or Spearman correlation coefficients were used. The relationship between patients’ demographic variables and their overall satisfaction score, obtained from ANOVA, was used in the bivariate analysis. Normality of data and homogeneity of variance were evaluated by quantile normal curve and Bartlett’s test, respectively. Linear regression analysis was used for multivariate analysis.