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Background: Widespread use of screening in high-income countries has led to significant reductions in mortality from cervical cancer. However, in Iran, the main reason for the late diagnosis of cervical cancer was the failure to perform a Pap smear (Papanicolaou). We aimed to investigate the status of cervical cancer prevention and its challenges and solutions in Iran. Method: We conducted a systematic review of literature published from 1974 to 2021 in the electronic databases, including PubMed, Web of Science, Embase, Scopus, and Google Scholar, and retrieved all English-language articles. Following the application of the inclusion and exclusion criteria, full-text articles were identified and evaluated for eligibility. Finally, these publications were analyzed as part of the synthesis. Results: Lower social-economic level, inadequate knowledge of screening tests and health centers for Pap test performance leading to worse outcomes such as lower screening participation or coverage. Conclusion: By addressing these challenges through increasing education, increasing service accessibility, expanding screening programs, improving public awareness, improving insurance coverage, and establishing a control protocol for follow-up, it is possible to reduce cervical cancer incidence and mortality.
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BACKGROUND: Different healthcare reforms could affect the productivity of hospitals. The aim of this study was to track hospital productivity before and after the recent Iranian healthcare reform in Khuzestan province, South West of Iran. METHODS: Hospital productivity was evaluated through data envelopment analysis (DEA) and Malmquist productivity index (MPI) from 2011 to 2015 for 17 Iranian public hospitals before and after the health sector transformation plan. We assumed an output-oriented model with variable returns to scale (VRS) to estimate the productivity and efficiency of each hospital. The DEAP V.2.1 software was used for data analysis. RESULTS: After the transformation plan, the averages of technical efficiency, managerial efficiency and scale efficiency in the studied hospitals had negative changes, but technology efficiency had positive changes.44.4% of general hospitals, 25% of multi-specialized hospitals, and 100% of specialized hospitals had positive productivity changes after implementing the health sector evolution plan. The Malmquist productivity index (MPI) had low positive changes from 2013 to 2016 (MPI = 0.13 out of 1) but the mean productivity score had no change after the health sector evolution plan. CONCLUSIONS: The total productivity before and after the health sector evolution plan had no change in Khuzestan province. This and the increase in the utilization of impatient services seemed to be a sign of good performance. But apart from technology efficiency, other efficiency indices had negative changes. It is suggested that in health reforms in Iran, more attention should be paid to the allocation of resources in the hospital.
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BACKGROUND: Widespread use of screening in high-income countries has led to a significant reduction in cervical cancer mortality. Most low- and middle-income countries still have poorly organized screening programs. This study aimed at policy analysis of prevention and early detection of cervical cancer in Iran, a middle-income country. MATERIALS AND METHOD: This qualitative retrospective study, extended by the health policy triangle model, was conducted from July 2020 to September 2021. A sample of this study consisted of 43 participants, including 16 key policy experts; nine 11 senior health system managers, 13 executives, and 3 clients selected purposefully. Data were collected through semi-structured interviews using the interview guide and analyzed using a framework analysis method based on the policy triangle model in MAXQDA2020. RESULTS: Nine themes, 15 subthemes, and 36 codes were extracted based on the 4 dimensions of the model; stakeholder analysis challenges, including conflict of interest and decision-making challenges. Moreover, the most important policy process challenges indicated the weakness of monitoring and evaluation systems and weakness of using scientific principles in policy making. Weakness of organizational and intersectoral structure and weakness of executive management were obtained among the challenges in the context analysis. Finally, the most important challenges related to content analysis are weaknesses in applying scientific principles in policy making, including weaknesses in standard operating procedures, and low use of HTA capacity in developed guidelines. CONCLUSION: A wide range of economic, social, and cultural problems can affect cervical cancer prevention policies. Several strategies are suggested to overcome these challenges, including allocating separate funds to cancer prevention programs, using structures to sustain prevention programs, designing, and using them to improve public awareness.
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Background: Coronavirus illness (COVID-19) has spread globally and is affecting everyone severely. The evaluation of educational needs (knowledge, attitudes, and practices) is important in controlling COVID-19 situations. The goal of this study is to find out what adults in Ardabil City know, how they feel, and what they do about the COVID-19 infection. Methods: In November 2021, a cross-sectional descriptive-correlational survey of 384 people was conducted using stratified-cluster sampling in Ardabil. The researchers created a self-reported questionnaire with 23 items as the data collection technique. The quantitative data were evaluated using descriptive statistics, the chi-square test, the correlation coefficient, and regression analysis. Results: The correct answer rate for this research found that 73.17% of participants (n = 281) had appropriate knowledge, 61.19% (n = 235) had favorable attitudes, and 69.53% (n = 267) had enough practice behavior. However, knowledge was related to gender, employment, and location of residence. Age, marital status, education level, and location of residence were all connected with attitude. Age, gender, and marital status were all related to the behavior. The findings of linear regression analysis revealed that knowledge and attitude influence behavior. Conclusion: The study findings revealed a high degree of understanding of COVID-19, a positive attitude, and a strong commitment to good practices. Knowledge, attitudes, and behaviors were influenced to varying degrees by age, marital status, education level, employment, and location of residence. Furthermore, knowledge and attitudes influenced behaviors.
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BACKGROUND: Conditions and needs of autistic children have impacts on both the children and the family members who have crucial roles in raising the child. The prevalence of autism is increasing, and this fact makes it necessary to focus more on experiences of parents who have children with autism spectrum disorder (ASD). Hence, this study aimed to reflect the experiences of parents who have autistic children. MATERIALS AND METHODS: The present study was a qualitative research with phenomenology approach which was conducted using content analysis approach. Participants were 14 parents with ASD children in Ahvaz, and they were included based on purposive sampling method. To gather the required data, semi-structured interviews were formed. Data analysis was performed by Colaizzi's seven-step method. RESULTS: Fifty-four conceptual codes were extracted from interviews of ASD children parents. Parents of these children had two main experiences: first family related and second education and treatment problems. Family problems included three categories (financial, psychological, and family relationships). Education and treatment was categorized into three (schooling, transporting, and quality in facilities). CONCLUSIONS: Problems mentioned by parents of autistic children highlight the need for providing training and counseling services as well as emotional supports from both society and government. Planning and implementing supportive plans empower parents to strategically face problems and eventually improve their life quality and mutual understanding.
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INTRODUCTION: Efficiency is one of the most important indicators of hospital performance evaluation. AIM: The study was conducted to measure the efficiency of public hospitals. MATERIAL AND METHODS: This was a cross-sectional and panel data study. Data were retrospectively collected using hospital records and hospital information system. In this study, panel data of 17 public hospitals affiliated with Ahvaz University of Medical Sciences, in southwest of Iran were studied during 2012-2016. The output-based data envelopment analysis technique and variable return to scale assumption (VRS) were used. Regression model was used to assess factors affecting hospital efficiency. Data were analyzed using Deap2.1 and R software. RESULTS: The mean of technical efficiency, managerial efficiency, and scale efficiency of the hospitals during 2012-2016 were 0.230, 0.272 and 0.732, respectively. Assessment of return to scale results over 5 years showed that 65% (11 cases) of hospitals had a decreasing return to scale, 24% (4 cases) had a constant return to scale, and 12% (2 cases) had an increasing return to scale. Also, mean of technical managerial, and scale efficiency in specialized hospitals were higher than other hospitals (0.331, 0.353, and 0.873). Beta regression analysis showed the effect of both variable length of stay and number of beds on hospital efficiency was significant (p-value <0.05).. CONCLUSIONS: The results showed that efficiency of selected public hospitals was the poor. Technical efficiency and managerial efficiency were lower than scale efficiency rate. Also, Multi- specialized hospitals were in critical status considering resource management and economies of scale.
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BACKGROUND: Cardiovascular diseases are the most common cause of death. The prevalence of cardiovascular diseases was reported to be 3,500 per 100,000. And it is predicted that these numbers will increase in the near future. By removing the main factors responsible for non-communicable diseases, cardiovascular disease can be prevented by 80%. AIM: The aim of this study was to compare the population attributable fraction for cardiovascular diseases' risk factors in Iran, USA and Spain. METHODS: This study was a comparative study and the population consisted of Iran, USA and Spain. The required information was collected from printed and electronic documentations and articles published in reliable databases, in the period 2007-2015. RESULTS: The cardiovascular diseases' Population Attributable Risk or Fraction for blood pressure was calculated to be 11.37%, 54% and 60%, diabetes 7.32%, 13% and 18%, and high cholesterol 6.85%, 13% and 20%, for Iran, USA and Spain respectively. Among risk factors, blood pressure was the most relevant factor to cardiovascular disease. CONCLUSIONS: The risk factor for high blood pressure had a more population attributable fraction than other physiological factors in the development of cardiovascular disease. Hence, by implementing comprehensive health policies, educating healthy lifestyle, screening and finding related cases as well as conducting health promotion programs, these diseases can be prevented.
