Key barriers to the provision and utilization of maternal health services in low-and lower-middle-income countries; a scoping review.

BACKGROUND: The preservation and promotion of maternal health (MH) emerge as vital global health objectives. Despite the considerable emphasis on MH, there are still serious challenges to equitable access to MH services in many countries. This review aimed to determine key barriers to the provision and utilization of MH services in low- and lower-middle-income countries (LLMICs). METHODS: In this scoping review, we comprehensively searched four online databases from January 2000 to September 2022. In this study, the approach proposed by Arksey and O'Malley was used to perform the review. Consequently, 117 studies were selected for final analysis. To determine eligibility, three criteria of scoping reviews (population, concept, and context) were assessed alongside the fulfillment of the STROBE and CASP checklist criteria. To synthesize and analyze the extracted data we used the qualitative content analysis method. RESULTS: The main challenges in the utilization of MH services in LLMICs are explained under four main themes including, knowledge barriers, barriers related to beliefs, attitudes and preferences, access barriers, and barriers related to family structure and power. Furthermore, the main barriers to the provision of MH services in these countries have been categorized into three main themes including, resource, equipment, and capital constraints, human resource barriers, and process defects in the provision of services. CONCLUSIONS: The evidence from this study suggests that many of the barriers to the provision and utilization of MH services in LLMICs are interrelated. Therefore, in the first step, it is necessary to prioritize these factors by determining their relative importance according to the specific conditions of each country. Consequently, comprehensive policies should be developed using system modeling approaches.

Factors facilitating and inhibiting the social participation of the elderly in health-oriented activities in Shiraz, Southern Iran.

BACKGROUND: The social participation (SP) of the elderly is one of the factors that contribute to the improvement of their well-being. SP, one of the most important factors of active ageing, is mainly influenced by a number of facilitating or inhibiting factors. AIMS: This study aimed to identify the factors that prevent and facilitate the SP of the elderly population in Iran. METHODS: A cross-sectional study carried out in Shiraz, southern Iran in 2021. Participants were selected using a convenience sampling method. Shiraz is divided into 11 districts and the largest park in each district is selected for data gathering. The questionnaires were completed by 612 people aged over 60. Data were collected using the Canadian Elderly Survey Project scale and a health-related lifestyle questionnaire and were analyzed using t-test, ANOVA, Pearson's correlation, and ANCOVA. RESULTS: The mean SP score of the elderly in Shiraz was 24.2 out of 60, which is below the midpoint. The results of the covariance analysis revealed that the SP had a significant relationship with the experience of physician consultation, cost barriers, age, marital status, income level, and education level (P < 0.001). Moreover, the results of Pearson correlation revealed a significant correlation between SP and different dimensions of health-oriented activities (< 0.001). CONCLUSIONS: This study revealed that the main barriers to older people's participation in health-related activities are cost and access barriers, such as transportation issues. Moreover, higher income level and higher educational attainment have been recognized as the main facilitators of SP in the elderly. In this regard, it can be suggested to apply a combination of health promotion strategies, financial support programs, and development of optimal transportation infrastructure to increase the SP of the elderly.

Association of risky driving behavior with psychiatric disorders among Iranian drivers: A case-control study.

PURPOSE: This study aimed to investigate the possible association between psychological disorders and risky driving behavior (RDB) in Iran. METHODS: This case-control study conducted in Shiraz, Iran in 2021. The case group included drivers with psychological disorders and the control group included those without any disorders. The inclusion criteria for selecting patients were: active driving at the time of the study, being 18 - 65 years old, having a driving license, having a psychological disorder including depression, bipolar disorder, anxiety spectrum disorder, or psychotic disorder spectrum confirmed by a psychiatrist, and completing an informed consent form. The exclusion criterion was the existence of conditions that interfered with answering and understanding the questions. The inclusion criteria for selecting the healthy cases were: active driving at the time of the study, being 18 - 65 years old, having a driving license, lack of any past or present history of psychiatric problems, and completing an informed consent form. The data were gathered using a researcher-made checklist and Manchester driving behavior questionnaire. First, partition around medoids method was used to extract clusters of RDB. Then, backward logistic regression was applied to investigate the association between the independent variables and the clusters of RDB. RESULTS: The sample comprised of 344 (153 with psychological disorder and 191 without confirmed psychological disorder) drivers. Backward elimination logistic regression on total data revealed that share of medical expenditure ≤ 10% of total household expenditure (OR = 3.27, 95% CI: 1.48 - 7.24), psychological disorder (OR = 3.08, 95% CI: 1.67 - 5.70), and substance abuse class (OR = 6.38, 95% CI: 3.55 - 11.48) were associated with high level of RDB. CONCLUSION: Substance abuse, psychological illnesses, and share of medical costs from total household expenditure were found to be main predictors of RDB. Further investigations are necessary to explain the impact of different psychological illnesses on driving behavior.

What do Iranian physicians value most when choosing a specialty? Evidence from a discrete choice experiment.

BACKGROUND: Choosing a specialty by physicians is fundamentally linked to the performance of health systems and public health outcomes. Identifying the determinants of specialty selection is important to health policy for targeting resources and planning the development of services. This study examined preferences of Iranian physicians for medical specialty using a discrete choice experiment (DCE) method. METHODS: In this study, the attributes of the DCE were determined using rigorous qualitative approach. Then we applied D-efficiency criteria to design the DCE and validated it at a pilot study. In the final survey, we recruited participants from six Iranian provinces and analyzed data using conditional logit model. We estimated willingness to pay (WTP) for non-monetary attributes. RESULTS: The WTP analysis revealed that the most important non-monetary attributes in the selection of a specialty were job burnout, opportunity for procedural activities, and job prestige. The results imply that the attributes that were related to the quality of personal life was more important only for physicians who preferred to choose non-surgical specialties. CONCLUSIONS: The findings demonstrate that traditional gender patterns of specialty selection are changing and quality of personal life characteristics might be the most important factor when developing policies to recruit physicians into non-surgical specialties.

A thematic network for factors affecting the choice of specialty education by medical students: a scoping study in low-and middle-income countries.

BACKGROUND: Medical specialty selection is a complex phenomenon that can affect the performance of health systems, community health, and physicians' lives. It is essential to identify the key factors influencing the choice of specialty for evidence-based policymaking. This scoping review aimed to provide a comprehensive map of evidence regarding the factors influencing the choice of specialty by medical students (MS) in low-and middle-income countries (LMICs) and also to determine knowledge gaps. METHODS: We carried out a systematic search on six online databases from January 2000 to May 2020. We used a five-step scoping review method proposed by Arksey and O'Malley. We synthesized the data using a quantitative content analysis approach. Then, we developed a thematic network as a conceptual map for a better understanding of the concept. RESULTS: The analysis led to the development of five main themes, including personal determinants, life fulfillment aspects, influential career aspects, educational determinants, and interpersonal effects. Moreover, the most frequent sub-themes were specific personal factors, controllable lifestyle, quality of working life, and future working conditions. CONCLUSION: This review provided evidence on the factors influencing the choice of specialties. In order to support physician workforce policy with more precise evidence, it is necessary to explore the weight and ranking of these factors based on the socioeconomic contexts of the countries. This study also indicated that factors such as ethical values, various aspects of medical philosophy, and immigration tendencies are areas for further investigations.

Key Barriers to the Provision and Utilization of Mental Health Services in Low-and Middle-Income Countries: A Scope Study.

Inadequate attention has been given to the provision of mental health (MH) services especially in low-and middle-income countries (LMICs). This study was aimed to identify key barriers to provide and utilize MH services in LMICs. A comprehensive search on7 important online databases was conducted for key barriers to the provision and utilization MH services in LMICs from Jan 2000 to Nov 2019. Five-step Arksey and O'Malley guideline was used for scope study. The extracted data were synthesized using a qualitative content analysis and thematic network. Three main themes identified as barriers to the provision of MH services in LMICs, namely resource and administrative barriers, information and knowledge barriers, as well as policy and legislation barriers. Also attitudinal barriers, structural barriers, knowledge barriers, and treatment-related barriers were four main themes emerged regarding the challenges of utilization of MH services. Equitable access to MH services in LMICs is influenced by many barriers in both provision and utilization sides. In order to alleviate these problems, health systems could adopt some strategies including integration of MH into the general health policy, improvement of public MH awareness, developing anti-stigma programs, reallocation of health resources toward high-priority MH needs, developing community-based insurance, as well as integration of MH services into all levels of health-care systems. The success of intervention strategies depends on the weight of these barriers in different socio-economic contexts.

Analyzing the interaction of main components of hidden curriculum in medical education using interpretive structural modeling method.

BACKGROUND: Hidden curriculum (HC) is considered as unintended learning experiences in medical education (ME). This may include values, norms, beliefs, skills, and knowledge which could potentially influence learning outcomes. HC has key components that must be identified and considered properly by individuals and organizations involved in ME. OBJECTIVES: This study aimed to determine the main components of hidden curriculum in medical education (HCME) and the interrelationships among them. METHODS: In this mixed-method study initially we performed a scoping review and determined the main components of HCME using qualitative content analysis approach. Then, the interrelationships among these components were investigated using Interpretive Structural Modeling (ISM). RESULTS: Ten key components for HCME were identified in scoping review. We classified them into four main categories including structural, educational, cultural, and social factors. The ISM analysis revealed that organizational rules and structure, dominant culture of educational environments, teaching and assessment approaches, as well as clinical and educational physical setting were the independent or driving factors. While, social components were dependent and influenced by basic components. CONCLUSION: The ISM model indicated that role modeling behaviors and interpersonal relationships (social factors) are under influence of underlying organizational and educational factors. These results should be considered at all stages of educational management including planning process, implementation of the programs, and development of formal curricula. According to the importance of contextual factors, components of HC must be analyzed and interpreted based on the specific conditions of each educational institution.

Income inequality among general practitioners in Iran: a decomposition approach.

BACKGROUND: General practitioners (GPs) are among the most important resources of healthcare system and public health is considerably influenced by the function of this group. Income inequality among GPs considerably affects the motivation and performance of this group. The present study aims to examine the income inequality among Iranian GPs in order to provide the necessary evidence for health human resource policy. METHODS: In this cross-sectional study, the distribution of income and wage inequality among GPs was investigated using income quintiles. We also used the Dagum's model to analyze the inequality between different groups of GPs through the decomposition of the Gini coefficient. Moreover, a regression model was used to determine the effective factors on GPs' income. RESULTS: The results of this study indicated that income and wages of GPs in the highest quintile were eight times more than those of doctors at the lowest quintile. Regression estimates showed that factors such as gender, practice setting, and activity as the family physician (P < 0.001) were effective on income of GPs; and also male and self-employed GPs had significantly more wage (P < 0.001). Total Gini coefficient of GPs' income and wage were estimated at 0.403 and 0.412, respectively. Highest monthly income was found in GPs with 16-20 years practice experience ($8358) based on Purchasing Power Parity (PPP), male ($8339 PPP), and self-employed GPs ($8134 PPP) subgroup. However, the female ($5389 PPP) and single ($5438 PPP) GPs had the lowest income. Population share; income/wage share; income/wage mean; Gini coefficient; and within, between and overlap decomposed components of Gini coefficient are also reported for each GPs subgroups. CONCLUSIONS: We found significant inequalities in income and wages among Iranian GPs. Adjustment of income based on working hours indicated that one of the most common causes of income inequality among GPs in Iran was different workloads among different groups. Since the motivation and function of physicians can be influenced by income inequality, policymakers in the health system should consider factors increasing such inequalities.

Burden of traffic accidents among pedestrians of Fars province, southern Iran; estimate of years of life lost in a sample of Iranian population from 2009 to 2013.

PURPOSE: Traffic injuries are among the leading causes of mortality and morbidity worldwide. Pedestrians have been considered as a high-risk group among road users, especially in middle- or low-income communities. This study attempted to determine the burden of pedestrians' fatalities in Fars, the southern province of Iran using years of life lost (YLL) approach. METHODS: The data used in this study were retrieved from Fars Forensic Medicine Organization database on pedestrian traffic accidents. The YLL from 2009 to 2013 was estimated using the method presented by World Health organization. Some epidemiological characteristics of pedestrians' fatalities were analyzed by SPSS. RESULTS: Although YLL among 1000 male pedestrians decreased from 2.5 in 2009 to 1.5 in 2013, it increased from 0.9 to 2.1 among 1000 females during the same period. Higher proportion of death was found in female, illiterate, and married pedestrians (p < 0.001). In addition, mortality was higher in pedestrians living the cities, during daytime, at home, and in hospitals (p < 0.001). CONCLUSION: Consistent with the global trends, burden of pedestrian accidents in Fars was also exceptionally high. Considering the national and cultural aspects of different countries, improving the safety of pedestrians demands a multi-dimensional approach with interventional factors concerning policies, rules, pedestrians, motor vehicles and environmental conditions taken into consideration.

Prevalence and risk factors of alcohol and substance abuse among motorcycle drivers in Fars province, Iran.

PURPOSE: The aim of this present study is to investigate the prevalence of alcohol and substance abuse (ASA) and its relationship with other risky driving behaviors among motorcycle drivers. METHODS: This is a cross sectional study which is performed at Shiraz city of Iran. Data from motorcycle drivers were collected using a standard questionnaire in eight major streets at different times of the day. The data includes consumption of alcohol and other substances two hours before driving and some of the risky behaviors during driving. RESULTS: A total of 414 drivers with a mean ± SD age of (27.0 ± 9.3) years participated in the study. Alcohol or substance consumptions two hours before driving was significantly associated with risky driving behaviors such as using mobile phone during driving, poor maneuvering, and driving over the speed limit (both p < 0.001). It was also associated with carelessness about safety such as driving with technical defects (p < 0.001) and not wearing a crash helmet (p=0.008). CONCLUSION: Screening for alcohol and substance consumption among motorcycle drivers is an efficient way to identify drivers that are at a greater risk for road traffic accidents.

Traffic accidents in Iran, a decade of progress but still challenges ahead.

Iran has had incremental incidence of traffic accident mortality since introduction of mechanization about a century ago. But the newest data from Iran show decrease in the absolute number of deaths, death per 10,000 vehicles and death per 100, 000 populations. Despite its huge impact on health and economy, research in the field of traffic crashes is still scant and there are still deficiencies in problem oriented research on traffic accidents. Actual cooperation of policy makers, executive bodies and academician could build platform for intersectoral discussion of different aspects of traffic accidents and could reduce burden of traffic accidents.

Psychological strains after the crisis: evaluating separation anxiety among Iranian children and adolescents in the post-COVID-19 era.

OBJECTIVES: The objective of this study was to specifically investigate Separation Anxiety Disorder (SAD), as one of the noteworthy disorders within the spectrum of anxiety disorders, among children and adolescents, after overcoming the crises caused by the Coronavirus Disease 2019 (COVID-19) pandemic. Efforts were also made to identify socio-demographic factors that could be associated with changes in SAD level and also to assess the effect of different constituting dimensions of SAD on the severity of this disorder. METHODS: In this cross-sectional study, face-to-face interviews were conducted with the parents of 317 (7-13-year-old) Iranian students, who were selected through a multi-stage random sampling method in the city of Shiraz. During the interviews, socio-demographic data were collected, and subsequently, SAD symptoms and dimensions were assessed using the Separation Anxiety Assessment Scale (Parent Version) (SAAS-P) questionnaire. Later, employing the Partition Around Medoids (PAM) statistical method, the participants were categorized into two groups with low and high levels of SAD. Also, to understand the interaction between the different dimensions of SAD, the network analysis method was employed. Finally, univariate analysis and logistic regression were utilized, with a significance level of 0.05, to determine potential associating factors with the level of SAD. RESULTS: The sample included 128 girls and 189 boys with a mean age of 9.63 ± 2.63 and 9.63 ± 1.95 years respectively. Based on the PAM method, 51.1% of the participants presented a high level of SAD. According to network analysis, it was demonstrated that the "fear of abandonment" dimension plays a central role in high levels of SAD. Based on logistic regression, female gender, age ≥ 10 years, parents' unacademic educational background, mother's employment, and child's history of physical/mental problems were significantly associated with the high level of SAD. CONCLUSIONS: A considerable number of the participants in this study presented a high level of SAD with the "fear of abandonment" being a key influential dimension of elevated levels of this disorder. Maternal employment, female gender, child's history of health issues, and low parental education were identified as important contributors to the high SAD level. Considering these factors allows for more effective diagnostic and therapeutic interventions. However, the need for further studies remains crucial.

The Effect of the COVID-19 Pandemic on the Factors Influencing Iranian Medical Residents' Specialty Selection: A Qualitative Study.

Background: Medical students' specialty selection influences the composition of the physician workforce and the effectiveness of health systems. Therefore, the identification of factors that influence the choice of specialty is critical for an evidence-based health policy. This study aimed to investigate the effect of the Coronavirus Disease 2019 (COVID-19) pandemic on the determinants of specialty choice among Iranian medical residents. Methods: In early 2022, this qualitative study was conducted among Iranian medical residents in seven provinces, including Tehran, Isfahan, Fars, Khorasan Razavi, Kerman, Kermanshah, and Khuzestan. The participants were selected using a purposeful sampling method. Data were collected using 74 semi-structured in-depth face-to-face interviews. Finally, a thematic content analysis (conventional content analysis) method was applied for data synthesis. Results: The participant's mean age was 28.7±2.5 years, and more than 52% (N=39) were men. Following data synthesis, 10 sub-themes and four main themes were identified, including educational aspects affected by the pandemic, career-related hazards, personal and professional lifestyles affected by the disease, and experiences and beliefs regarding the pandemic. Conclusion: The COVID-19 pandemic has had a significant impact on medical students' educational, professional, and personal aspects of specialty choices. This study demonstrated how the disease affected the choice of specialty. Therefore, the findings could be used for developing national health policy and planning.

An epidemiologic survey of road traffic accidents in Iran: analysis of driver-related factors.

OBJECTIVE: Road traffic accident (RTA) and its related injuries contribute to a significant portion of the burden of diseases in Iran. This paper explores the association between driver-related factors and RTA in the country. METHODS: This cross-sectional study was conducted in Iran and all data regarding RTAs from March 20, 2010 to June 10, 2010 were obtained from the Traffic Police Department. We included 538 588 RTA records, which were classified to control for the main confounders: accident type, final cause of accident, time of accident and driver-related factors. Driver-related factors included sex, educational level, license type, type of injury, duration between accident and getting the driving license and driver's error type. RESULTS: A total of 538 588 drivers (91.83% male, sex ratio of almost 13:1) were involved in the RTAs. Among them 423 932 (78.71%) were uninjured; 224 818 (41.74%) had a diploma degree. Grade 2 driving license represented the highest proportion of all driving licenses (290 811, 54.00%). The greatest number of accidents took place at 12:00-13:59 (75 024, 13.93%). The proportion of drivers involved in RTAs decreased from 15.90% in the first year of getting a driving license to 3.13% after 10 years'of driving experience. Neglect of regulations was the commonest cause of traffic crashes (345 589, 64.17%). Non-observance of priority and inattention to the front were the most frequent final causes of death (138 175, 25.66% and 129 352, 24.02%, respectively). We found significant association between type of accident and sex, education, license type, time of accident, final cause of accident, driver's error as well as duration between accident and getting the driving license (all P less than 0.001). CONCLUSION: Our results will improve the traffic law enforcement measures, which will change inappropriate behavior of drivers and protect the least experienced road users.

Time analysis of fatal traffic accidents in Fars Province of Iran.

OBJECTIVE: To analyze the time factor in road traffic accidents (RTAs) in Fars Province of Iran. METHODS: This study was conducted in Fars Province, Iran from November 22, 2009 to November 21, 2011. Victims'information consisted of age, sex, death toll involving dri- vers or passengers of cars, motorcycles and pedestrians, and site of injury etc. Accidents were analyzed in relation to hour of the day, season of the year, lighting condition including sunrise, sunset, daytime and nighttime. RESULTS: A total of 3 642 deaths (78.3% were males, and the ratio of males to females was about 3.6:1) were studied regarding their autopsy records. There was a steady increase in fatal accidents occurring at midnight to 15:59. The risk of being involved in a fatal traffic accident was higher for those injured between 4:00 to 7:59 than at other times (OR equal to 2.13, 95% CI 1.85-2.44). The greatest number of fatal RTAs took place in summer. Mortalities due to RTA during spring and summer were more pronounced at 20:00 to 23:59 and midnight to 3:59, whereas mortalities in fall and winter were more pronounced from 12:00 to 15:59. CONCLUSION: The high mortality rate of RTA is a major public health problem in Fars Province. Our results indicate that the time is an important factor which contributes to road traffic deaths.

Qualitative document analysis on Iranian contents and trends of population policies: Lessons learned and avenues for future.

Population-related policies are among macro-strategic policies considered by all governments in the world. To achieve the desired population structure, it is first necessary to identify the general policy approach over time. This article aims to identify the main requirements of population policies during the last 70 years in Iran. This is a qualitative content analysis study conducted via the analysis of all relevant national policy documents from 1951 to 2022. To retrieve the relevant documents, we searched the official website of eight policymaking bodies in Iran. After identifying the documents, their eligibility was evaluated using Scott's method, and as a result, 40 documents were selected for analysis. Finally, we used a qualitative content analysis to synthesize the data using MAXQDA version 10. The findings showed that the political requirements for population reduction can be classified into four main themes of "Religious, scientific, and legal infrastructure", "Changes in the rules", "Institution building, programming and division of tasks", and "Information and service provision", with 11 sub-themes. Furthermore, the political requirements for an increasing population can be divided into six main themes of "Education & acculturation", "Legal dos, and don'ts", "Financial and non-financial support for families", "Structural and information infrastructure", "Health services", and "Stewardship", with 30 sub-themes. In this study, by an all-round look, and the analysis of policies of the last 70 years of Iran, it was determined how the population policies originate from the political-cultural background of society, and provide the ground for the changes in the cultural-social, political, and economic structures and as a result demographic change. In other words, the main requirements to formulate the population increase and decrease policies in Iran as a country with golden experiences to implement the population policies were shown; which can be helpful as a guide to formulate the population policies in Iran and provide a model for successful policy making in the countries with a similar background to Iran.

Epidemiological characteristics of fatal pedestrian accidents in Fars Province of Iran: a community-based survey.

OBJECTIVE: To determine the epidemiological characteristics of fatal pedestrian accidents in Fars Province of Iran. METHODS: This cross-sectional study was conducted in Fars Province of Iran during a 29-month period from March 2009 to July 2011. The data were from the Fars Forensic Medicine Registry. In 4 923 recorded road traffic accident fatalities, 971 deaths were due to pedestrian accidents. The demographic and accident-related information were analyzed by SPSS version 11.5. P value less than 0.05 was considered significant. RESULTS: The mean age of decedents was (47.2+/-26.2) years, ranging from 6 months to 103 years old. Males accounted for 69.8% of all deaths. Fatal accidents were most common in September; 56.1% of the fatal injuries occurred on intracity roads and 33.1% on extracity roads. Fatal head injuries were present in 60.54% of cases. Evaluation of the injury site and the cause of death found that they were significantly associated with age, interval between injury and death. Besides, the type of roads played an important role in mortality. CONCLUSION: Although the clinical management of trauma patients has been improved in our country in the recent decade, decreasing the burden of injuries needs coordination among trauma system organizations.

Fatal motorcycle accidents in Fars Province, Iran: a community-based survey.

OBJECTIVE: To identify the main characteristics of victims of motorcycle accidents in Fars Province, Iran. METHODS: This cross-sectional study was conducted in Fars Province which has the fourth largest population of all 31 provinces in Iran from March 2009 to June 2010. We included data from all 542 recorded cases of fatalities due to motor vehicle accidents. Data were recorded from the forensic medicine registry consisting of demographic and accident-related information. Demographic information consisted of name, age, sex, status of fatal victim (motorcycle driver vs passenger) and educational level. RESULTS: Of the 2 345 autopsy records from the forensic medicine archives, 542 (23.1%) gave the cause of death as motor vehicle accidents. Mean age of these victims was (31.4+/-6.5) years, and the male to female ratio was 28. Head injury was the most common cause of death in these victims, and overall they tended to have a low level of education. Motorcycle accidents frequently involved younger age groups (15-35 years), and head trauma related with non-use of a helmet was the most common cause of death. CONCLUSIONS: Head injury is frequent among victims in the province we studied. This situation may be related to the victims' low socioeconomic status and little education regarding traffic laws leading to speeding and disregard of these laws along with their weak enforcement.

Determining Factors Influencing Specialty Preferences of Iranian Medical Doctors: A Qualitative Study.

Background: The medical specialty choice of physicians directly affects the healthcare system, community wellbeing, and their own professional life. It is therefore important to identify its underlying factors to predict such medical career choices and to draw up a comprehensive evidence-based public health policy and health human resources planning. The present qualitative study aimed to identify these determinants of career choices through semi-structured interviews with medical doctors in the context of country-specific social and cultural characteristics. Methods: The present qualitative study was carried out in 2019-2020 at Shiraz University of Medical Sciences (Shiraz, Iran). The target population was medical students, junior doctors, and medical residents. The purposive sampling method was used to recruit the participants and sampling continued until data saturation, i.e., no new information could be extracted. Data were collected through individual, face-to-face, semi-structured interviews and analyzed using the conventional content analysis method. Inductive thematic analysis was used to interpret the data based on which a thematic map was developed illustrating the factors influencing medical specialty preferences in Iran. Data trustworthiness was assessed according to the criteria proposed by Guba and Lincoln. Results: Analysis of the interview data resulted in three main themes and fourteen sub-themes. The main themes were "Personal determinants", "Career-related factors", and "Interpersonal influences". The most important sub-themes were personal interests, income, and prestige. Conclusion: The determinants influencing the specialty preferences of Iranian medical doctors are identified. Our findings will facilitate the development of a comprehensive evidence-based public health policy, health human resources planning, and appropriate medical education policy.

A National Survey on the characteristics of Iranian General Practitioners and Their Preferred Specialty: A Need to Transition toward Preventive Medicine.

BACKGROUND: The shortage and unbalanced distribution of physicians has adverse effects on the provision of equitable services at all levels of health care and especially at the prevention and primary care levels. The choice of specialty can seriously change the structure and composition of the physician workforce. Therefore, this study aimed to investigate the relationship between background characteristics of Iranian general practitioners' (GPs) and their preferred specialty fields. METHODS: In this mixed-method study, first, 12 medical doctors participated in a nominal group technique to determine the most important background characteristics that affect GPs' preferences for specialty selection. In the second phase, we conducted a survey among 680 GPs in six provinces from different geographic regions. We gathered data using a researcher-made checklist and analyzed them using an adjusted multivariate regression. RESULTS: The adjusted analysis showed that being female, being married, being in an older age group, having children, graduation from universities located in the provincial centers, and decision for living and practicing in the less-populated areas were significantly associated with the Iranian GPs' preferences for non-surgical specialties. CONCLUSIONS: This study provided evidence that could inform national health workforce policy-makers to avoid unbalanced distribution of physicians and accordingly to ensure the provision of equitable services at all levels of healthcare and especially at the primary care level. Other effective factors on the selection of specialty should be evaluated at the national level using specific surveys and econometrics studies such as discrete selection experiment to move toward preventive medicine.