Objectives Knowing about accurate customer expectations is the most important step in defining and delivering high-quality services. This study aimed to evaluate the preferences of patients referring to two hospitals in Kermanshah, Iran. Method Discrete choice experiment (DCE) method used to elicit preferences of 328 patients who were admitted in two hospitals of Kermanshah city in the west of Iran. Literature review and experts opinion were used to identify a candidate list of attributes related to the quality of cares in hospitals. The final study attributes were quality of physician care, quality of nursing care, waiting time for admission, cleaning of wards and toilets, and behavior of staff. Experimental design applied to extract choice sets of hospitals. The data was analyzed by a conditional logit regression. Results The regression results showed the most important predictors of hospital selection by respondents was the good quality of physician care (aOR: 3.18, 95% CI 2.61, 3.87), followed by friendly behavior of staffs (aOR: 2.03, 95% CI 1.81, 2.27), cleanness of wards and toilet (aOR: 1.61, 95% CI 1.40, 1.85), and finally quality of nursing cares (aOR: 1.13, 95% CI 0.89, 1.44). However, increasing waiting time made disutility in the study participants (aOR: 0.69, 95% CI 0.60, 0.80). Conclusions Our study finding emphasized some potential opportunity of quality augmentation in hospital sector by paying attention to different quality attributes including quality of physician, friendly behavior of staffs, cleanness of hospital environment and finally quality of nursing cares. Considering patients preferences in decision making process could lead to substantial satisfaction improvement.
Background Increasing level of physical activity (PA) among working population is of particular importance, because of the high return of investment on employees’ PA. This study was aimed to investigate socioeconomic inequalities in Health-Enhancing Physical Activity (HEPA) among employees of a Medical Sciences University in Iran. Methods Data were extracted from the SHAHWAR Cohort study in Iran. Concentration index (C) and Wagstaff decomposition techniques were applied to determine socioeconomic inequality in the study outcomes and its contributors, respectively. Results Nearly half of the university employees (44.6%) had poor HEPA, and employees with high socioeconomic status (SES) suffered more from it (C = 0.109; 95% CI: 0.075, 0.143). Also, we found while poor work-related PA (C = 0.175; 95% CI: 0.142, 0.209) and poor transport-related PA (C = 0.081, 95% CI: 0.047, 0.115) were more concentrated among high-SES employees, low-SES employees more affected by the poor PA at leisure time (C = -0.180; 95% CI: -0.213, -0.146). Shift working, and having higher SES and subjective social status were the main factors that positively contributed to the measured inequality in employees’ poor HEPA by 33%, 31.7%, and 29%, respectively, whereas, having a married life had a negative contribution of -39.1%. The measured inequality in poor leisure-time PA was mainly attributable to SES, having a married life, urban residency, and female gender by 58.1%, 32.5%, 28.5%, and -32.6%, respectively. SES, urban residency, shift working, and female gender, with the contributions of 42%, 33.5%, 21.6%, and -17.3%, respectively, were the main contributors of poor work-related PA inequality. Urban residency, having a married life, SES, and subjective social status mainly contributed to the inequality of poor transport-related PA by 82.9%, -58.7%, 36.3%, and 33.5%, respectively, followed by using a personal car (12.3%) and female gender (11.3%). Conclusions To reduce the measured inequalities in employees’ PA, workplace health promotion programs should aim to educate and support male, urban resident, high-SES, high-social-class, and non-shift work employees to increase their PA at workplace, and female, married, rural resident, and low-SES employees to increase their leisure-time PA. Active transportation can be promoted among female, married, urban resident, high-SES, and high-social-class employees and those use a personal car.
Background: Policymakers are interested in investigating effects of governments' policies on socioeconomic inequality in public health. Objectives: This study aimed to analyze levels of and changes in socioeconomic inequality of unintended pregnancy after the changes in family planning policies and to investigate determinants of its changes in Iran. Methods: Required data were extracted from Iran's Multiple Indicator Demographic and Health Surveys conducted in 2010 and 2015. We used data from 1123 and 900 married pregnant women aged 15 -49 years in 2010 and 2015, respectively. Wagstaff normalized concentration index was used to measure unintended pregnancy inequality. The contribution of various factors to the measured inequality in 2010 and 2015 was investigated by decomposing concentration index. Changes in the unintended pregnancy inequality in 2010 -2015 and its determinants were assessed using Blinder-Oaxaca decomposition method. Results: Pro-rich unintended pregnancy inequality declined by 120% from -0.145 to 0.030 in 2010 -2015. However, the pro-poor unintended pregnancy inequality in 2015 was not statistically significant. Households' economic status and women's age at pregnancy were the two leading factors with positive contributions while contraceptive non-use before pregnancy and women's education level had the most negative contributions to the reduced pro-rich inequality of unintended pregnancy in 2010 -2015. Conclusions: Pro-rich unintended pregnancy inequality not only did not increase, but also declined to zero after the changes in family planning policies. Providing sustainable livelihood for disadvantaged households with women at reproductive ages can maintain this favorable condition in the future.
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