Eliciting preferences of patients about the quality of hospital services in the west of Iran using discrete choice experiment analysis.

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.

Socioeconomic-related inequalities in self-rated health status in Kermanshah city, Islamic Republic of Iran: a decomposition analysis.

BACKGROUND: Socioeconomic-related inequalities in health are a major public health challenge in both developed and developing countries. Little evidence is available on socioeconomic-related inequalities in health in different regions of the Islamic Republic of Iran. AIMS: This study aimed to determine socioeconomic-related inequality in poor self-rated health in adults in Kermanshah city, western Islamic Republic of Iran. METHODS: This cross-sectional study with stratified sampling obtained data on socioeconomic status, demographic characteristics, behavioural risk factors and self-rated health of 2040 adults (≥ 18 years) in Kermanshah city. A self-administrated questionnaire was used to collect data from the participants. The concentration (C) index and C curve were used to determine the socioeconomic-related inequality in poor self-rated health. A decomposition analysis of the C index was done to identify the factors explaining socioeconomic-related inequality in poor self-rated health. RESULTS: The crude and age-adjusted prevalence of poor self-rated health was 13.8% and 18.1%, respectively. The estimated C for the whole sample was -0.295, indicating that poor SRH was concentrated in the poor. The decomposition results suggested that socioeconomic status (45.5%), having a chronic health condition (11.9%) and smoking (7.3%) were the main factors contributing to the concentration of poor self-rated health among those of lower socioeconomic status. CONCLUSION: The concentration of poor self-rated health among the poor in Kermanshah city warrants policy attention. Policies aimed at reducing inequality in wealth distribution and risky health behaviour and preventing chronic health conditions among the poor may mitigate socioeconomic-related inequalities in poor self-rated health in Kermanshah.

The effects of exposure to different noise frequency patterns on blood pressure components and hypertension.

OBJECTIVE: Previous studies have indicated a significant association between exposure to noise and blood pressure. However, the effects of exposure to different noise frequency patterns on blood pressure components and hypertension (HTN) have been unknown. METHODS: We recruited a total of 518 eligible workers in this study. According to types of work (office and production-line), overall A-weighted equivalent sound pressure levels (8-h LAeq), and total 8-h LAeq at low (31.5, 63, and 125 Hz), medium (250, 500, and 1000 Hz), and high ( 2, 4, and 8 kHz) frequencies, we classified subjects into four categories, involving office workers (n = 214) exposed to overall 8-h LAeq < 65 dB and production-line workers, including medium noise exposure group (n = 81) exposed to overall 8-h LAeq < 78 dB that difference between the medium and high frequencies was less than 1 dB, high_A noise exposure group (n = 86) encountered to overall 8-h LAeq > 90 dB that the difference between the medium and high frequencies was less than 1 dB, and high B noise exposure group (n = 137) exposed to overall 8-h LAeq > 90 dB that the levels of noise at the high frequency were 10 dBA more than the medium frequency. The high A and high B groups were a little difference in total 8-h LAeq at the low and medium frequencies (≤ 3 dBA) and a wide difference at the high frequency (more than 10 dBA). The logistic regression models were applied to determine the odds of HTN among study groups. RESULTS: The significant difference was observed among study groups in the average of systolic blood pressure (SBP), pulse pressure (PP), mean arterial pressure (MAP), and the frequency of HTN (P < 0.05). Also, we found a significant difference in diastolic blood pressure DBP but at the levels of P < 0.10. The odds ratios (ORs) and 95% confidence intervals (CIs) of HTN according to the full adjusted model in the medium, high A, and high B groups compared with the office workers were estimated at 1.66(0.45, 6.10), 2.34(0.80, 6.89), and 4.02(1.63, 9.96), respectively. CONCLUSION: This study indicates noise frequency patterns may play a significant role in the association between noise and blood pressure. More studies are warranted to confirm our findings.

The Association of Occupational Noises and the Prevalence of Metabolic Syndrome.

OBJECTIVES: Previous studies have shown the association of exposure to noise with cardiovascular diseases such as hypertension, however, it is not well known whether the exposure has any effect on metabolic syndrome (MetS). This study aimed to quantify and clarify the association between noise exposure and the prevalence of MetS. METHODS: This cross-sectional study was conducted in 2017 among 518 workers in a thermal power plant industry. According to types of work and 8-h equivalent A-weighted sound pressure level (8-h LAeq), the participants were divided into the following groups: office workers and line-production workers exposed to < 85, 90 to <95, 95 to <100, and ≥100 dBA. We used the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) criteria to identify subjects with MetS. The logistic regression was used to determine the odds of MetS among study groups. RESULTS: We observed the significant differences in the number (%) of subjects with high blood pressure in line-production workers who exposed to noise ≥100 (12 [19.7%]) versus <85 dBA (7 [7.1%]) and office (10 [4.7%]) groups. For the waist circumference (>102 cm), there was a significant difference in the ≥100 dBA group (12 [19.7%]) compared with office group (21 [9.8%]). Obtained results indicated only the significant difference in the prevalence of MetS in ≥100 versus <85 dBA groups (10 [16.4%] versus 6 [6.1%]). The unadjusted and adjusted odds ratios and 95% confidence intervals of MetS in ≥100 versus <85 dBA groups were estimated 3.01 (1.03, 8.75) and 3.24 (1.01, 10.42), respectively. CONCLUSIONS: This study indicated the significant association between noise exposure and MetS in line-production workers. However, more studies are needed to confirm our results.

Socioeconomic Inequalities in Poor Health-Related Quality of Life in Kermanshah, Western Iran: A Decomposition Analysis.

BACKGROUND: Socioeconomic status (SES) is an important determinant of health-related quality of life (HRQoL). We aimed to quantify socioeconomic-related inequality in poor-HRQoL among adults in Kermanshah, western Iran. STUDY DESIGN: A cross-sectional study. METHODS: Overall, 1730 adults (18-65 yr) were selected using convenience sampling from Kermanshah, Iran. A self-administrated questionnaire was used to collect data on socio-demographic characteristics, SES, lifestyle factors and HRQoL of participants over the period between May and Aug 2017. The concentration curve and concentration index (C) were used to illustrate and measure wealth-related inequality in poor-HRQoL. Additionally, we decomposed the C index to identify factors explaining wealth-related inequality in poor-HRQoL. RESULTS: The overall prevalence of poor-HRQoL was 35.3% (95% confidence interval[CI]: 33.1%, 37.6%). The poor-HRQoL was mainly concentrated among the poor adults (C=-0.256, 95% CI: -0.325, -0.187). Poor-HRQoL was concentrated among men (C=-0.256, 95% CI: -0.345, -0.177) and women (C=-0.261, 95% CI: -0.310, -0.204). Wealth, physical inactivity, the presence of chronic health condition(s), lack of health insurance coverage were the main factors contributing to the concentration of poor-HRQoL among socioeconomically disadvantaged adults. CONCLUSIONS: Socioeconomic-related inequalities in poor-HRQoL among adult should warrant more attention. Policies should be designed to not only improve HRQoL among adults but also reduce the pro-rich distribution of HRQoL among adults in Kermanshah.

Impact of Smoking on Health-Related Quality of Life: A General Population Survey in West Iran

This study was aimed at assessing any association between smoking and health-related quality of life (HRQoL) among adults aged 18 years and above living in Kermanshah city, western Iran. A cross-sectional study was conducted on a total sample of 1,543 participants obtained by convenient sampling during the period from February 1st to May 30th, 2017. Data were collected using a self-administrated questionnaire. The HRQoL of the study participants was assessed with reference to the EuroQol 5-dimensions-3-level (EQ-5D-3L). The impact of smoking behavior of the participants on HRQoL with controls for potential confounders was examined by multiple regression. Out of the total of 1,543 participants, current smokers, past smokers, and never smokers accounted for 19.7%, 4.2% and 76.1%, respectively. The mean EQ-5D indices were 0.69 ±SD 0.20, 0.70 ± SD 0.22, and 0.78 ± SD 0.16. The highest proportion of self-reported problems (including both 'some' and 'severe') were related to current, heavy smokers, with high nicotine dependence. Regression analysis indicated that current smokers had a significantly lower HRQoL compared to past smokers and never smokers (p < 0.05). The heavy smokers also had a significantly lower HRQoL score than moderate and light smokers (p < 0.05) and there was an inverse relationship between the HRQoL score and nicotine dependence (p<0.05). The current smokers, heavy smokers, and high nicotine dependent smokers had lower HRQoL scores. These findings provide inputs for better understanding and for devising interventions for smoking cessation, reducing the number of cigarettes smoked per day and nicotine dependency.

Determinants of health-related quality of life in Iranian adults: evidence from a cross-sectional study.

OBJECTIVES: This study aimed to measure the level and determinants of health-related quality of life (HRQoL) in adults in Kermanshah, a city in the western region of Iran. METHODS: Convenience sampling was employed to obtain a sample of 998 adults aged 18 years and older (646 males and 352 females) in the city of Kermanshah. A 2-part self-administered questionnaire was used to collect data over the period between March 1 and May 30, 2017. The first part was designed to collect information on socio-demographic characteristics, socioeconomic status, and lifestyle factors (10 items). The second part consisted of the EuroQoL 5-dimensions (EQ-5D) EuroQoL-3-level and the EuroQoL visual analog scale (EQ-VAS) questions. A multiple linear regression model was used to determine the factors associated with the EQ-5D index and EQ-VAS score among study participants. RESULTS: The mean values for the EQ-5D index and the EQ-VAS score were 0.74 (standard deviation [SD], 0.19) and 80.9 (SD, 16.5), respectively. The highest percentage of self-reported problems ('some' and 'severe' problems) across the 5 dimensions of the EQ-5D index were associated with the dimensions of anxiety/depression (35.3%) and pain/discomfort (32.9%). The percentage of self-reported problems for the dimensions of usual activities, mobility, and self-care were 19.0, 12.8, and 8.9%, respectively. Our regression analyses indicated that there were statistically significant positive associations between being physically active, monthly household income per capita, and post-secondary education and the EQ-5D index and EQ-VAS score. In contrast, negative associations were found between older age, being married, having a chronic disease, and smoking and the EQ-5D index and EQ-VAS score. A negative association was also found between being uninsured and the EQ-5D index. CONCLUSIONS: Our findings suggest that interventions aiming to improve physical activity, to prevent chronic diseases, and to reduce the smoking rate among adults living in the city of Kermanshah may improve their HRQoL.