Impact of Patient Engagement on Healthcare Quality: A Scoping Review.

Patient engagement (PE) is a well-known strategy introduced and implemented by pharmaceutical and medical device companies for patient compliance and adherence to treatment protocols during clinical trials and care processes. This can affect a wider range of outcomes such as the quality of treatment decisions and quality of care outcomes. Few studies have paid attention to it. The involvement of patient is one of the crucial stakeholders of health care in their treatment that makes controversial opinions about the potential outcomes of their engagement in various aspects of healthcare. This scoping review was conducted in 2022 to collect the results of PE. The search was performed in the MEDLINE and Web of Sciences databases. The selected documents were categorized and reported by the direct content analysis method. Out of 3974 published documents, 17 articles were selected. Findings are categorized into 4 groups: (1) Health outcome, (2) patient compliance, (3) self-efficiency, and (4) return on investment. PE can improve both treatment outcomes and consequently patient satisfaction and health, as well as the productivity of the service provider. However, increasing self-care and patient adherence are among the positive effects of this engagement on the patient, and return on investment is still a challenge for PE.

Determinants of job motivation among frontline employees at hospitals in Tehran.

INTRODUCTION: Human resources are the most strategic resource and the most significant input for health systems. Their behavior and motivation can strongly affect the overall performance of the health systems. The aim of this study was to determine the factors that affect motivation in frontline employees at teaching hospitals affiliated with Shahid Beheshti University of Medical Sciences (SBMU) in Tehran, Iran. METHODS: This cross-sectional study was conducted in 2015. The participants (nurses, physiotherapists, radiology and laboratory technicians, operating room and pharmacy staff) were 300 employees selected by the stratified random sampling method from two general and teaching hospitals. The data collection instrument was a questionnaire that consisted of 42 questions in the 7 domains of motivational factors. Data analysis was performed using descriptive statistics and independent samples t-test by SPSS software, version 23. RESULTS: The findings indicated that working relationships (mean of 3.95) were the main determinant of job motivation of frontline employees. Job content (3.76) career development (3.75), social respect (3.75), and autonomy (3.30) were the next four affective factors. Recognition and remuneration had the least influence on the job motivation of frontline employees. The results of the Friedman test indicated that the difference between the mean scores of different dimensions was significant (χ(2) (6) = 607.00, p < 0.001). CONCLUSION: A hospital that seeks to engender increased motivation of its frontline employees should have in place a human resources strategy that includes facilitating communication between personnel and management, supporting employees in the community, and promoting social respect for health professions, providing educational opportunities and career development, development of appropriate promotional policies, employee participation in goal setting, facilitating a good working environment and job security, job enrichment, and delegation.

Evaluation of the Quality of Health Service Providers: The Iranian People Perspective 2014.

INTRODUCTION: Quality is the center of attention in all service providing organizations that are effective in promoting satisfaction of patients who are referred to medical centers. The aim of this study was to investigate the quality of health service providers in a case study of Qazvin, Iran, in 2014. METHODS: This descriptive study was conducted on 1,002 people who were residents of Qazvin Province (Iran) in 2014. The people were selected randomly from the population of the study area. The main variables studied were education, perceptions, expectations, and gaps in service quality. The data collection tool was the standard Servequal questionnaire. To determine the reliability of the research tool, we used Cronbach's Alpha coefficient and the test-retest method. Statistical analyses were conducted using SPSS and the ANOVA test. RESULTS: The mean age of people included in the study was 32 ± 9.9 years, and the average waiting time to receive services was 73 ± 47 minutes. Hospitals and doctors' offices had the highest quality gap of -1.420 ± 0.82 and -1.01 ± 0.75, respectively. The service quality gaps in medical centers, health providers of rural area, and health providers of urban area were -0.883 ± 0.67, -0.882 ± 0.83, and -0.804 ± 0.62, respectively. There was a significant relationship between peoples' perceptions and expectations concerning the quality of health services and their educational levels. CONCLUSION: The higher gaps in quality in hospitals and in doctors' offices require more attention. Managers and policy makers should consider developing and implementing plans to reduce these gaps in quality and to promote better health services in these two sectors.

The Assessment of Inequality in the Geographical Distribution of Burn Beds in Iran.

INTRODUCTION: In recent years, the World Health Organization (WHO) has emphasized the importance of determining the equality of the distribution of healthcare resources. Inequalities in the healthcare system are one of the world's most important developmental challenges, and the inefficiencies that exist in healthcare systems are the most important reason for these challenges. Thermal burns are one of the common injuries worldwide, and their effects are a significant reason for the mortality and morbidity rates throughout the world. Considering the importance of burns as one of the 30 leading causes of death in Iran, this study was aimed to compare the distribution of burn beds with its disability-adjusted life years (DALY) in Iran. METHODS: This applied analytic-descriptive study was conducted in order to determine the distribution of burn beds in Iran using the Lorenz curve. In this way, the distribution of burn beds was analyzed in relation to the population of each province and lost DALY caused by burns in Iran. For each province, the number of burn beds in 2012 was collected from credible and authoritative sources at the Ministry of Health, and the population of each province was obtained using data from the National Center of Statistics. The data were analyzed and presented using Microsoft Office Excel. RESULTS: Isfahan and Khorasan Razavi Provinces had approximately 11 and 10.4% of the country's burn beds, respectively. The Provinces that had the most DALY were Sistan Baluchestan, Fars, and Kerman with 10.75%, 10.34%, and 9.54%, respectively. The Gini coefficients of burn beds in relation to population and DALY were calculated as 0.09 and 0.16, respectively. CONCLUSION: The Gini coefficients in relation to population and DALY were less than 0.2. Although the Gini coefficient of the burn beds in relation to DALY was more than that for the population, the difference was not significant, and the distributions of beds regarding the two calculated coefficients were equal. It is recommended that healthcare policymakers distribute burn beds in proportion to the populations of the provinces.

Study of Out-of-Pocket Expenditures for Outpatient Imaging Services in Imam-Khomeini Hospital in 2014.

BACKGROUND: Direct out-of-pocket (OOP) payment is the most inequitable way to pay for healthcare services, and this trend exposes patients and their families to backbreaking financial risks. The aim of this study was to estimate the out-of-pocket expenditures for outpatient imaging services in Imam-Khomeini Hospital in Tehran. METHODS: This cross-sectional study was conducted in 2014 on 100 users of outpatient imaging services (radiology, ultrasonography, CT-scan, and MRI) in Imam-Khomeini Hospital in Tehran. Structured interviews and the analysis of related documents were used to acquire the pertinent data. The percentage of out-of-pocket expenditures was obtained by dividing the out-of-pocket expenditures by the total expenditures paid to the service provider, i.e., the sum of out-of-pocket expenditures and insurance payments. To analyze the data, we used descriptive-analytic statistics, distribution indices, the t-test, and the Pearson product-moment correlation coefficient. RESULTS: Health insurance covered 84% of costs incurred by users of outpatient imaging services. There was no significant relationship between the user's age and the amount of out-of-pocket expense (p = 0.01). The relationship between the user's gender and out-of-pocket expense was significant (p = 0.05). The average payment for males was greater than the average payment for females. The highest percentage of the total payment the users incurred was 41% for a CT-scan, and the lowest percentage the users incurred was 30% for radiology services. CONCLUSION: It is suggested that expensive diagnostic tests, such as CT-scans, be prescribed according to the actual needs of patients to make the financial burden of diagnostic services reasonable for all patients.

Learning Organization Profile of Educational Hospitals in Iran: Practice of Organizational Interlocking Systems.

BACKGROUND: Organizational learning has been identified as necessary for different organizations to improve their performance in the changing and competitive environment. PURPOSE: The main purpose of this research was to specify the learning organization profile of educational and health centers of Tehran and Qazvin Universities of Medical Sciences in Iran. METHODOLOGY: The present research was conducted using a cross-sectional method in the academic year of 2013-2014. A staff of 530 from educational hospitals subordinated to Tehran and Qazvin universities of medical sciences participated in the research. The participants were selected using stratified random sampling. That is to say, a random sample of a proportionate size was selected from each hospital. The instrument for data collection was a Likert-scale questionnaire involving 50 items. The statistical techniques of ANOVA, t-test, Chi-square, correlation coefficients (Pearson and Spearman), and regression were utilized to analyze the data. All of them were performed using the Statistical Package for Social Sciences (SPSS) 16.0 for windows. RESULT: the results indicated that 449 of participants (84.7%) had a B.S. degree and 78 of them (14.7%) had an M.S. or a Ph.D. degree. Among the fivefold dimensions of "Learning Organization" model (Learning, Organization, People, Knowledge, and Technology) in comparison of the two universities, the "people" dimension was the highest-rated dimension with the mean rating of 25.71±8.36 and the "learning" dimension was the lowest-rated dimension with the mean of 25.35±8.04. Comparison between the two universities yielded the result that educational hospitals in Tehran University of medical sciences with the rating of 126.56 had a more complete profile than that of educational hospitals in Qazvin university of medical sciences with the rating of 122.23. CONCLUSION: The hospitals of the two above-mentioned universities were, to a great extent, far from the characteristics of Learning Organization. In light of the massive mission of these centers to maintain and improve the community health and to train the skilled labor force, the centers should embark on updating the data and institutionalizing learning. Furthermore, to modify staff's behavior and performance and to achieve their goals, they should accentuate the importance of acquiring, creating, and transferring knowledge.