Survival Analysis of Hospital Length of Stay of COVID-19 Patients in Ilam Province, Iran: A Retrospective Cross-Sectional Study.

Knowledge of the length of hospitalization of patients infected with coronavirus disease 2019 (COVID-19), its characteristics, and its related factors creates a better understanding of the impact of medical interventions and hospital capacities. Iran is one of the countries with the most deaths in the world (146,321 total deaths; 5 September 2023) and ranks first among the countries of the Middle East and the EMRO. Analysis of confirmed COVID-19 patients' hospital length of stay in Ilam Province can be informative for decision making in other provinces of Iran. This study was conducted to analyze the survival of COVID-19 patients and the factors associated with COVID-19 deaths in the hospitals of Ilam Province. This is a retrospective cross-sectional study. Data from confirmed COVID-19 cases in Ilam Province were obtained from the SIB system in 2019. The sample size was 774 COVID-19-positive patients from Ilam Province. Measuring survival and risk probabilities in one-week intervals was performed using Cox regression. Most patients were male (55.4%) and 55.3% were over 45 years old. Of the 774 patients, 87 (11.2%) died during the study period. The mean hospital length of stay was 5.14 days. The median survival time with a 95% confidence interval was four days. The probability of survival of patients was 80%, 70%, and 38% for 10, 20, and 30 days of hospital stay, respectively. There was a significant relationship between the survival time of patients with age, history of chronic lung diseases, history of diabetes, history of heart diseases, and hospitalization in ICU (p < 0.05). The risk of dying due to COVID-19 disease was higher among men, older age groups, and patients with a history of chronic lung diseases, diabetes, and heart disease. According to the results, taking preventive measures for elderly patients and those with underlying conditions to prevent the infection of COVID-19 patients is of potential interest. Efficiency in the management of hospital beds should also be considered.

Preferences of people in choosing a family physician in rural areas: a qualitative inquiry from Iran.

BACKGROUND: Creating a stable and long-term relationship called 'longitudinality' between the population and general practitioners is crucial for the family physician program. The constant change of family physicians (FPs) can deteriorate longitudinality. This study aims to reveal what factors people usually consider when choosing a new FP or changing their current FP. METHOD: A qualitative study with a thematic analysis approach was carried out in Ilam province, Iran, in 2019. Purposeful sampling with a maximum variation strategy was followed to select the key informants. We did 34 interviews with following groups: patients (rural residents); FPs; and experts from Iran Health Insurance Organization, Ilam University of Medical Sciences, and Health Network Development Center. Data were analyzed using a thematic analysis to identify and contextualize the preferences of people in choosing a FP in rural areas. All the processes related to data coding and emerging themes were carried out using MAXQDA 2012 software. RESULTS: The content of the interviews was categorized into 2 main themes, 6 sub-themes, and 39 codes. The first theme was 'family physician characteristics' including four sub-themes: general behaviors, social and physical characteristics, professional expertise, and pharmaceutical prescriptions. The second theme was 'health center' consisting of two sub-themes including location and physical features and properties of the health center. CONCLUSION: Some of the factors extracted from the interviews may have a different effect on the choice of people with different demographics. For instance, patients may have different ideas about the age, gender, years of medical practice, and finally, language and origin of the birthplace of FPs. Quantitative studies are needed to rank the factors identified in this study according to their significance for choosing FP and reveal patients' preferences for each factor.

Outcome evaluation of COVID-19 infected patients by disease symptoms: a cross-sectional study in Ilam Province, Iran.

BACKGROUND: Novel coronavirus disease-19 (COVID-19) was declared as a global pandemic in 2020. With the spread of the disease, a better understanding of patient outcomes associated with their symptoms in diverse geographic levels is vital. This study aimed to evaluate clinical outcomes of COVID-19 patients by disease symptoms in Ilam province, Iran. METHODS: This was a cross-sectional study. Data were collected from integrated health system records for all hospitals affiliated with the Ilam University of Medical Sciences between 26-Jan-2020 and 02-May-2020. All patients with a confirmed positive test were included in this study. Descriptive analyses, chi-square test, and binary logistic regression model were performed by using SPSS version 22. RESULTS: The mean age of participants was 46.47 ± 18.24 years. Of the 3608 patients, 3477 (96.1%) were discharged, and 129 (3.9%) died. 54.2% of the patients were male and were in the age group of 30-40 years. Cough, sore throat, shortness of breath or difficulty breathing, and fever or chills were the most common symptoms. Patients with symptoms of shortness of breath, abnormal radiographic findings of the chest, and chest pain and pressure were relatively more likely to die. According to binary logistic regression results, the probability of death in patients with shortness of breath, abnormal chest radiographic findings, and chest pain was 1.34, 1.24, and 1.32 times higher, respectively, than for those without. CONCLUSION: Our study provides evidence that the presentation of some symptoms significantly impacts outcomes of patients infected with SARS-CoV-2. Early detection of symptoms and proper management of outcomes can reduce mortality in patients with COVID-19.

Knowledge, Attitudes, and Practices Among the General Population During COVID-19 Outbreak in Iran: A National Cross-Sectional Online Survey.

Background: Emerged in December 2019, coronavirus disease 2019 (COVID-19) is one of the largest pandemics ever. During the early phase, little was known about public knowledge, attitudes, and practices (KAP) relating to coronavirus disease. This study was designed to determine KAP of Iranians toward COVID-19. Methods: A cross-sectional online survey was carried out in Iran from February 25 to April 25 using a self-administered questionnaire on 1,480 people. COVID-19-related KAP questions were adapted from other internationally validated questionnaires specific for infectious diseases. Results: All participants were aware of COVID-19. When asked unprompted, 80% of respondents could correctly cite fever, difficulty in breathing, and cough as signs/symptoms of COVID-19. Most of our sample population knew that staying at home and isolated (95.3%) as well as constant handwashing and using disinfectants (92.5%) could prevent COVID-19. However, there were also widespread misconceptions such as the belief that COVID-19 can be transmitted by wild animals (58%) and by air (48.3%). Unprompted, self-reported actions taken to avoid COVID-19 infection included handwashing with soap and water (95.4%), avoiding crowded places (93%), cleansing hands with other disinfectants (80.), and covering mouth and nose when coughing or sneezing (76.1%). The Internet and social media (94.5%) were the main coronavirus information sources. However, the most trusted information sources on coronavirus were health and medical professionals (79.3%). The majority of participants (77.0%) wanted more information about coronavirus to be available. Conclusion: Our findings suggest that people's knowledge and attitude toward COVID-19 at the time of its outbreak was at a high level.

A systematic review and meta-analysis of pregnancy and COVID-19: Signs and symptoms, laboratory tests, and perinatal outcomes.

BACKGROUND: Coronavirus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 appeared in December 2019 in Wuhan, China. OBJECTIVE: To investigate the clinical manifestations including signs and symptoms, laboratory results, and perinatal outcomes in pregnant women with COVID-19. MATERIALS AND METHODS: Scholarly databases such as PubMed via LitCovid hub, Embase, Scopus, Web of sciences, and Google scholar were searched on April 7, 2020. Meta-analysis was performed via comprehensive meta-analysis software using the Mantel-Haenszel method. The event rate with 95% CI was calculated for each variable. RESULTS: Ten studies were selected. The pooled prevalence for fever, post-partum fever, cough, myalgia, fatigue, dyspnea, sore throat, and diarrhea were 66.8%, 37.1%, 35%, 24.6 %, 14.9%, 14.6%, 11.5%, and 7.6%, respectively. Laboratory test results were 49.8% for lymphopenia, 47.7% for leukocytosis, 83.7% for elevated neutrophil ratio, 57% for elevated C-reactive protein, and 71.4% for decreased lymphocyte ratio. The rate of cesarean section for delivery in all cases was 84%. Of the newborns of the corona-positive mothers, only one had a positive test result. Also, there was only one death due to a decreased lymphocyte ratio. CONCLUSION: Fever was the most common sign and symptom in pregnant women with COVID-19. Among the laboratory tests, the highest amount was related to elevated neutrophil ratio. It seems that due to the differences between pregnant women and the general population, special measures should be considered to treat these patients.

The Health Tourists' Satisfaction Level of Services Provided: A Cross-Sectional Study in Iran.

INTRODUCTION: Patient satisfaction with provided services is used as an indicator of health care quality. Patient satisfaction is defined as patient perception of provided care compared to expected care. This study was administered to evaluate the health tourists' satisfaction of provided services in Lorestan University of Medical Sciences affiliated hospitals in 2015.  METHOD: In this descriptive case study, 1800 (696 (54.4 %) men and 812 (45.6 % ) women, 74.5 province native) patients were selected by random sampling from among the patients of Lorestan University of Medical Sciences affiliated hospitals in 2015 spring. The data collection instrument is a semi-structured questionnaire in this study. The questionnaire has 62 general and specific items. Each of the specific items is scaled on four points; satisfied, fairly satisfied, dissatisfied and O.K.. In order to analyze the data both descriptive and inferential statistics were used. RESULTS: Poldokhtar Imam Khomeini Hospital had the highest Level of satisfaction of 68 percent in all aspects (hoteling, discharge, paramedical, nurses, medical and admission) among the studied hospitals. Kuhdasht Imam Khomeini hospital had the lowest level of satisfaction of 53 percent. The overall satisfaction level in all hospitals was 61%. DISCUSSION & CONCLUSION: Despite the shortcomings observed in different areas, the results of the present study are in an intermediate status compared to other studies. While treating patients, patient-centered issue and patients 'need and preferences should be focused on to enhance health care quality. Considering Patients preferences not only are morally good but also lead to improved care and access to sustainable care practices. Therefore it is needed to drive organizational management approach toward the customer preferences management and needs.

Challenges of the health research system in a medical research institute in Iran: a qualitative content analysis.

BACKGROUND & AIM: Medical research institute is the main basis for knowledge production through conducting research, and paying attention to the research is one of the most important things in the scientific communities. At present, there is a large gap between knowledge production in Iran compared to that in other countries. This study aimed to identify the challenge of research system in a research institute of medical sciences in Iran. MATERIALS & METHODS: This was a descriptive and qualitative study conducted in the first 6 months of 2013. A qualitative content analysis was conducted on 16 heads of research centers in a research institute of medical sciences. The required data were gathered using semi-structured interviews. The collected data were analyzed using MAXQDA 10.0 software. RESULTS: Six themes identified as challenges of research system. The themes included barriers related to the design and development, and approval of research projects, the implementation of research projects, the administrative and managerial issues in the field of research, the personal problems, publishing articles, and guidelines and recommendations. CONCLUSION: Based on the results of the present study, the following suggestions can be offered: pushing the research towards solving the problems of society, employing the strong executive and scientific research directors in the field of research, providing training courses for researchers on how to write proposals, implementing administrative reforms in the Deputy of Research and Technology, accelerating the approval of the projects through automating the administrative and peer-reviewing processes.