A cross-sectional study determining prevalence and factors associated with ST-segment elevation myocardial infarction and non-ST segment elevation myocardial infarction in Iran: results from fasa registry on acute myocardial infarction (FaRMI).

BACKGROUND: Acute myocardial infarction is still a leading cause of death worldwide, accounting for roughly three million deaths yearly. This study aimed to investigate the prevalence and factors associated with ST-Segment Elevation Myocardial Infarction and Non-ST Segment Elevation Myocardial Infarction in Iran. METHODS: This cross-sectional study was conducted using the databases of the Fasa Registry on Acute Myocardial Infarction (FaRMI) and the Fasa Adult Cohort Study (FACS). chi-squared and one-way ANOVA tests were utilized to calculate the unadjusted associations between the study variables. A multivariate multinomial logistic regression model was also employed to determine the adjusted association of each independent variable with the risk of ST-elevation myocardial infarction (STEMI). RESULTS: The prevalence of STEMI and non-STEMI was 31.60% and 11.80%, respectively. Multinomial logistic regression showed that older age, anemia, high WBC, and high creatinine levels were associated with higher odds of STEMI and non-STEMI compared to healthy individuals. In addition, based on the analysis being a woman(OR = 0.63,95%CI:0.51-0.78), anemia(OR = 0.67,95%CI:0.54-0.63)and hypertension (OR = 0.80,95%CI:0.65-0.97)decreased the likelihood of STEMI occurrence compared to non-STEMI, while high WBC(OR = 1.19,95%CI:1.15-1.23)increased the odds. CONCLUSION: In this study, significant predictors of MI risk included age, gender, anemia, lipid profile, inflammation, and renal function. Subsequent investigations ought to prioritize the comprehensive understanding of the underlying mechanisms that drive these connections and assess the effectiveness of specific interventions aimed at diminishing the occurrence of MI and improving patient outcomes.

Prevalence and factors associated with inter-arm systolic and diastolic blood pressure differences: results from the baseline Fasa Adult's Cohort Study (FACS).

BACKGROUND: One of the modifiable risk factors for cardiovascular diseases is the inter-arm blood pressure difference (IAD), which can be easily measured. This study aimed to determine the prevalence and factors related to the Iranian population's inter-arm differences in systolic and diastolic blood pressure. METHOD: This cross-sectional study was conducted on the baseline data of participants who had Iranian nationality, were at least 1 year of residence in the area, aged within the age range of 35-70 years, and willed to participate from the Fasa Persian Adult Cohort Study (FACS). IAD for systolic and diastolic blood pressure was measured and categorized into two groups of difference < 10 and ≥ 10 mmHg. Logistic regression was used to model the association between independent variables and IAD. RESULTS: The prevalence of systolic and diastolic IAD ≥ 10 mmHg was 16.34% and 10.2%, respectively, among 10,124 participants. According to the multivariable logistic regression models, age (adjusted odds ratio (aOR): 1.019 [95% CI: 1.013, 1.025]), body mass index (BMI) (aOR: 1.112 [95% CI: 1.016, 1.229]), having type 2 diabetes (aOR Yes/No: 1.172 [95% CI: 1.015, 1.368]), having chronic headaches (aOR Yes/No: 1.182 [95% CI: 1.024, 1.365]), and pulse rate (aOR: 1.019 [95% CI: 1.014, 1.024]) significantly increased the odds of systolic IAD ≥ 10 mmHg. Additionally, high socio-economic status decreased the odds of systolic IAD ≥ 10 mmHg (aOR High/Low: 0.854 [95% CI: 0.744, 0.979]). For diastolic IAD, age (aOR: 1.112 [95% CI: 1.015, 1.210]) and pulse rate (aOR: 1.021 [95% CI: 1.015, 1.027]) significantly increased the odds of diastolic IAD ≥ 10 mmHg. Moreover, high socioeconomic status decreased the odds of diastolic IAD ≥ 10 mmHg (aOR High/Low: 0.820 [95% CI: 0.698, 0.963]). CONCLUSION: The noticeable prevalence of systolic and diastolic IAD in general population exhibits health implications due to its' association with the risk of cardiovascular events. Sociodemographic and medical history assessments have potentials to be incorporated in IAD risk stratification and preventing programs.

Contrasting socioeconomic inequality with noncommunicable diseases: Insights from a population-based survey using the concentration index in Kong cohort study.

Background: Noncommunicable diseases (NCDs) are the major causes of mortality across the globe, which impose a substantial burden on health care systems, particularly in low- and middle-income countries. The present study aimed to determine socioeconomic inequality in the prevalence of NCDs using the concentration index (CI). Methods: This cross-sectional study was conducted on the baseline data of the Bandar Kong cohort. The principal component analysis was used to determine people's socioeconomic status (SES). The CI and Lorenz Curve were used for the assessment of socioeconomic inequality. Multivariate logistic regression was used to assess the relationship between SES and the prevalence of NCDs. A p Value less than 0.05 is considered significant. Results: Frequency and prevalence of diabetes was 653 (16.22%), hypertension 848 (21.06%), chronic lung diseases 161 (4%), epilepsy 70 (1.74%), mental disorders 191 (4.74%), stillbirth 299 (13.94%), thyroid disorders 391 (9.71%) and depression 146 (3.63%). CI for the prevalence of diabetes was [-0.107, %95 CI: -0.146 to -0.068], hypertension [-0.122, %95 CI: -0.155 to -0.088], chronic lung disease [-0.116, %95 CI: -0.202 to -0.03], psychiatric disorders [-0.230, %95 CI: -0.304 to -0.155], depression [-0.132, %95 CI: -0.220 to-0.043] and stillbirth [-0.162, %95 CI: -0.220 to -0.105]. The Gini index was negative for all these diseases, indicating that these are significantly concentrated in people of poor SES. Conclusions: The findings suggest that selected NCDs were concentrated among the poor and the low-income. Particular attention may be necessary to address the problem of NCDs among these groups.

A nationwide study on the prevalence and contributing factors of obstructive sleep apnea in Iran.

Reliable obstructive sleep apnea (OSA) prevalence information in Iran is lacking due to inconsistent local study results. To estimate OSA prevalence and identify clinical phenotypes, we conducted a nationally representative study using multi-stage random cluster sampling. We recruited 3198 individuals and extrapolated the results to the entire Iranian population using complex sample survey analyses. We identified 3 clinical phenotypes as "sleepy," "insomnia," and "restless legs syndrome (RLS)." The prevalence of OSA was 28.7% (95%CI: 26.8-30.6). The prevalence of "sleepy," "insomnia," and "RLS" phenotypes were 82.3%, 77.8%, and 36.5% in women, and 64.8%, 67.5%, and 17.9% in men, respectively. "Sleepy" and "insomnia" phenotypes overlapped the most. Age (OR: 1.9), male sex (OR: 3.8), BMI (OR: 1.13), neck circumference (OR: 1.3), RLS (OR: 2.0), and insomnia (OR: 2.3) were significant OSA predictors (p-values: 0.001). In men, "sleepy" phenotype was associated with youth and unmarried status but not in women. The "insomnia" phenotype was associated with shorter sleep duration in women; cardiovascular diseases (CVD), urban residency, and shorter sleep duration in men. "RLS" phenotype was associated with shorter sleep duration and CVD in women and older age, lower educational level, CVD, and hypertension in men. The findings point to the need for funding of OSA screening in Iran, for a different assessment of men and women, and for future sleep research to consider overlapping phenotypes.

Predictors of hospital length of stay and mortality among COVID-19 inpatients during 2020-2021 in Hormozgan Province of Iran: A retrospective cohort study.

Background and Aims: About one-fifth of patients with COVID-19 need to be hospitalized. Predicting factors affecting the hospital length of stay (LOS) can be effective in prioritizing patients, planning for services, and preventing the increase in LOS and death of patients. The present study aimed to identify the factors that predict LOS and mortality in COVID-19 patients in a retrospective cohort study. Methods: A total of 27,859 patients were admitted to 22 hospitals from February 20, 2020 to June 21, 2021. The data collected from 12,454 patients were screened according to the inclusion and exclusion criteria. The data were captured from the MCMC (Medical Care Monitoring Center) database. The study tracked patients until their hospital discharge or death. Hospital LOS and mortality were assessed as the study outcomes. Results: As the results revealed, 50.8% of patients were male and 49.2% were female. The mean hospital LOS of the discharged patients was 4.94. Yet, 9.1% of the patients (n = 1133) died. Among the predictors of mortality and long hospital LOS were the age above 60, admission to the ICU, coughs, respiratory distress, intubation, oxygen level less than 93%, cigarette and drug abuse, and a history of chronic diseases. Masculinity, gastrointestinal symptoms, and cancer were the effective variables in mortality, and positive CT was a factor significantly affecting the hospital LOS. Conclusion: Paying special attention to high-risk patients and modifiable risk factors such as heart disease, liver disease, and other chronic diseases can diminish the complications and mortality rate of COVID-19. Providing training, especially for those who care for patients experiencing respiratory distress such as nurses and operating room personnel can improve the qualifications and skills of medical staff. Also, ensuring the availability of sufficient supply of medical equipment is strongly recommended.

Association between inter-arm blood pressure difference and cardiovascular disease: result from baseline Fasa Adults Cohort Study.

The inter-arm blood pressure difference has been advocated to be associated with cardiovascular mortality and morbidity. Our study aimed to investigate the association between Inter-arm systolic and diastolic blood pressure differences and Cardio Vascular Disease (CVD). A total of 10,126 participants aged 35-70 years old were enrolled in a prospective Fasa Persian Adult Cohort. In this cross-sectional study, the cutoff values for inter-arm blood pressure difference were less than 5, greater than 5, greater than 10, and greater than 15 mm Hg. Descriptive statistics and logistic regression were used to analyze the data. Based on the results the prevalence of ≥ 15 mmHg inter-arm systolic and diastole blood pressure difference (inter-arm SBPD and inter-arm DBPD) were 8.08% and 2.61%. The results of logistic regression analysis showed that inter-arm SBPD ≥ 15 and (OR<5/≥15 = 1.412; 95%CI = 1.099-1.814) and inter-arm DBPD ≥ 10 (OR<5/≥10 = 1.518; 95%CI = 1.238-1.862) affected the risk of CVD. The results showed that the differences in BP between the arms had a strong positive relationship with CVD. Therefore, inter-arm blood pressure could be considered a marker for the prevention and diagnosis of CVD for physicians.

Predicting cervical cancer screening behavior among women in southern Iran: a cross-sectional study with PEN-3 model.

INTRODUCTION: Despite the fact that the Pap smear test is a simple, affordable, painless and relatively reliable method to diagnose cervical cancer in women, the majority of women are unaware of the value of this valuable diagnostic method. There are many cultural and social barriers to this diagnostic method. The present study was conducted to predict cervical cancer screening behavior with PEN-3 model among women residents of Bandar Abbas. METHODS: The present descriptive-analytical study was conducted on 260 women aged 18 years and above who visited the comprehensive health centers of Bandar Abbas. The data were collected online using a demographic information questionnaire and a researcher-made questionnaire based on the PEN-3 model constructs and analyzed using Mann-Whitney U test, Pearson correlation test and logistic regression analysis in SPSS-23. RESULTS: The participants' age ranged between 18 and 52 years with an average of 30.95 ± 5.47 years. 27.7% of the participants had done their last pap smear test less than 1 year before the study and 26.2% had not done a pap smear test until the time of study. The results showed that the mean scores of knowledge (11.28 ± 2.87), attitude (64.96 ± 4.96), enablers (44.66 ± 5.8), and nurturers (36.02 ± 8.83) in women who had done the cervical cancer screening behavior was more than those who had not done the behavior. Also, the results of logistic regression analysis showed that knowledge, attitude and nurturers were the major predictors of cervical cancer screening behavior. CONCLUSION: The present findings showed that knowledge, attitude, enablers and nurturers play a major role in women's participation in Pap smear test. These findings should be considered in the development and implementation of educational interventions.

Effectiveness of educational intervention on women's participation to cervical cancer screening: a quasi-experimental study based on PEN-3 model.

INTRODUCTION: Cervical cancer is one of the most common cancer types among women in developing countries. Women's behavior in the early detection of the disease is influenced by sociocultural factors. Thus, the present study aimed to determine the effect of an educational intervention based on PEN-3 model on women's participation in cervical cancer screening. METHODS: The present quasi-experimental study was conducted with 160 women participants visiting health care centers in Bandar Abbas in 2021. The sampling was as a multi-stage clustering, and the participants were divided into two groups, an intervention and a control (each with 80 participants). The data collection instrument was a researcher-made questionnaire based on the PEN-3 model constructs before and 3 months after an educational intervention (a training course). The intervention involved 30 online sessions of 15-20 minutes for the intervention group while the control group did not receive any training. RESULTS: After the educational intervention, the mean scores of knowledge, attitude, enablers, nurturers and the Pap smear test behavior in the experimental group increased significantly compared to the control group (P < 0.05). The analysis of covariance results showed that by modulating the effect of pre-test score, there was a statistically significant difference between the intervention and control groups in the post-intervention behavior score. CONCLUSION: In the light of the present findings, it can be concluded that interventions based on the PEN-3 model with a focus on knowledge -raising, changing beliefs and identifying sociocultural and environmental factors that affect cervical cancer screening behavior can prevent cervical cancer in women.

Measuring the net profit of laboratory services: A case study in Iran.

Background: Clinical laboratories need to manage resources properly and scientifically to survive in today's highly competitive environment. In this context, scientific-economic principles should be considered to determine the profitability or loss of laboratories. Thus, in this study, the net profit of laboratory services was measured based on scientific-economic principles. Methods: This was an applied research with descriptive-retrospective approach. A laboratory was selected from 61 laboratories of Kerman, Iran, which performed the highest number of tests among the laboratories of this city. In addition, due to easy access, it was the most visited laboratory by patients. The present study had 2 main phases: (1) measuring the price of services and (2) calculating the net profit of the studied laboratory. Data analysis was performed using activity- based costing (ABC) as an econometric model and Excel software. Results: The highest charges were related to direct costs (78.28%); consumable goods (47.26%) and professional and logistic human resources (46.31%) had the highest share of these costs. In the test groups, the most expensive tests belonged to the hormones (23.03%) and clinical chemistry (20.84%). Total cost, revenue, and the net profit of the studied laboratory were 641 645, 1 390 942, and 749 297 USD, respectively. After doing sensitivity analysis (50% increase in the frequency of tests), the following values were obtained: 987 071, 2 086 413, and 1 099 342, respectively. Conclusion: Some test groups in the studied laboratory were not profitable, and this was due to the high cost of these tests and illogical tariffs. One way to overcome this problem is to increase the frequency of laboratory tests.

The Challenges and Barriers to the Integration of Laboratory Services in Iran from Laboratory Experts' Point of View.

BACKGROUND: Laboratory services fragmentation creates problems such as non-accountability for costs and quality, not being patient-centered and unsustainability of services in long run. Therefore, health systems consider laboratory services integration an inevitable way. This study aimed to investigate the challenges and barriers to the integration of laboratory services in Iran. METHODS: This qualitative case study was conducted in 2016. Using purposive sampling, semi-structured interviews were conducted with 34 informed participants. Each interview lasted between 30 to 60 min. Acceptability, transferability, reliability, and verifiability were used to assess the validity, accuracy and reliability of qualitative data. Framework approach was used to analyze data. RESULTS: Lack of economy of scale, unfair access, lack of grading, low quality, development of national strategies to create an integrated network of laboratories, criteria of the laboratories establishment, creation of necessary infrastructure, empowering the private sector and standardization of indicators were considered the most important problems of laboratory services integration in Iran; they were classified into two main themes. CONCLUSION: Identified issues are challenges which adversely impact the integration of laboratory services. Therefore, providing infrastructures with increased cooperation between various organizations to increase access to laboratory services in the form of an integrated network is essential.

Success rate evaluation of clinical governance implementation in teaching hospitals in Kerman (Iran) based on nine steps of Karsh's model.

BACKGROUND: One of the ways to improve the quality of services in the health system is through clinical governance. This method aims to create a framework for clinical services providers to be accountable in return for continuing improvement of quality and maintaining standards of services. OBJECTIVE: To evaluate the success rate of clinical governance implementation in Kerman teaching hospitals based on 9 steps of Karsh's Model. METHODS: This cross-sectional study was conducted in 2015 on 94 people including chief executive officers (CEOs), nursing managers, clinical governance managers and experts, head nurses and nurses. The required data were collected through a researcher-made questionnaire containing 38 questions with three-point Likert Scale (good, moderate, and weak). The Karsh's Model consists of nine steps including top management commitment to change, accountability for change, creating a structured approach for change, training, pilot implementation, communication, feedback, simulation, and end-user participation. Data analysis using descriptive statistics and Mann-Whitney-Wilcoxon test was done by SPSS software version 16. RESULTS: About 81.9 % of respondents were female and 74.5 have a Bachelor of Nursing (BN) degree. In general, the status of clinical governance implementation in studied hospitals based on 9 steps of the model was 44 % (moderate). A significant relationship was observed among accountability and organizational position (p=0.0012) and field of study (p=0.000). Also, there were significant relationships between structure-based approach and organizational position (p=0.007), communication and demographic characteristics (p=0.000), and end-user participation with organizational position (p=0.03). CONCLUSION: Clinical governance should be implemented by correct needs assessment and participation of all stakeholders, to ensure its enforcement in practice, and to enhance the quality of services.

Cost-price estimation of clinical laboratory services based on activity-based costing: A case study from a developing country.

BACKGROUND: It is believed that laboratory tariffs in Iran don't reflect the real costs. This might expose private laboratories at financial hardship. Activity Based Costing is widely used as a cost measurement instrument to more closely approximate the true cost of operations. OBJECTIVE: This study aimed to determine the real price of different clinical tests of a selected private clinical laboratory. METHODS: This study was a cross sectional study carried out in 2015. The study setting was the private laboratories in the city of Kerman, Iran. Of 629 tests in the tariff book of the laboratory (relative value), 188 tests were conducted in the laboratory that used Activity Based Costing (ABC) methodology to estimate cost-price. Analyzing and cost-price estimating of laboratory services were performed by MY ABCM software Version 5.0. RESULTS: In 2015, the total costs were $641,645. Direct and indirect costs were 78.3% and 21.7% respectively. Laboratory consumable costs by 37% and personnel costs by 36.3% had the largest share of the costing. Also, group of hormone tests cost the most $147,741 (23.03%), and other tests group cost the least $3,611 (0.56%). Also after calculating the cost of laboratory services, a comparison was made between the calculated price and the private sector's tariffs in 2015. CONCLUSION: This study showed that there was a difference between costs and tariffs in the private laboratory. One way to overcome this problem is to increase the number of laboratory tests with regard to capacity of the laboratories.

Quantitative optimization of emergency department's nurses of an educational hospital: a case study.

INTRODUCTION: Nurses account for the majority of human resources in hospitals, as such that 62% of the workforce and 36% of hospital expenditures are related to nurses. Considering its vital role in offering round-the-clock emergency healthcare services, an Emergency Department (ED) requires adequate nurses. Therefore, this study was conducted to optimize the number of nurses in ED. METHODS: This was an applied study conducted using a Linear Programming (LP) model in 2015. The study population were selected by census who were all ED nurses (n=84) and patients referred to ED (n=3342). To obtain the statistics related to the number of patients and nurses, the hospital information system and human resources database were employed respectively. To determine the optimum number of nurses per shift, LP model was created via literature review and expert advice, and it was executed in WinQSB software. RESULTS: Before implementing the model, the number of nurses required for ED morning shift, evening shift, and night shift (2 shifts) was 26, 24 and 34 respectively. The optimum number of nurses who worked in ED after running the model was 62 nurses, 17 in the morning shift, 17 in the evening shift and 28 in the night shift (2 shifts). This reduced to 60 nurses after conducting sensitivity analysis. CONCLUSION: The estimated number of nurses using LP was less than the number of nurses working in ED. This discrepancy can be reduced by scientific understanding of factors affecting allocation and distribution of nurses in ED and flexible organization, to reach the optimal point.