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Abstract Background Multiple sclerosis (MS) is a chronic and progressive neurological autoimmune disease that affects the central nervous system. There are two types of drugs used to treat this disease: injectable and oral drugs. The present study aimed at systematically reviewing the cost effectiveness of oral versus injectable drugs. Methods The researchers searched the PubMed, Scopus, and Web of Science databases to find relevant studies. After removing the duplicates, two authors independently assessed the records. The studies that had conducted full economic evaluations of oral versus injectable drugs in MS patients were included. The Quality of Health Economic Studies (QHES) tool was also used to assess the quality of the studies. Results Thirty studies that had conducted the economic analysis of oral versus injectable therapies in MS patients were included in this review. The QHES scores for all records were generally high (≥ 77) and they were of good quality. The lowest and highest levels of incremental net monetary benefit were respectively obtained through the comparison of Fingolimod and Alemtuzumab (-1,419,333) and the comparison of Teriflunomide and Interferon β-1a (1,792,810). The amount of INMB (incremental net monetary benefit) in the comparisons between oral and injectable drugs showed that the highest and lowest amount of INMB calculated between) Fingolimod and injectable drugs, respectively, compared to (interferon β-1a) 98,253 and (Ocrelizumab) -212,417, the highest amount in dimethyl fumarate is also against (peginterferon β-1a) 191,470 and the lowest against (alemtuzumab) -124,333, Teriflunomide against injectable drugs is the highest against (peginterferon β-1a) 89,956 and the lowest (Ocrelizumab) − 194,169, as well as Cladribine compared to injectable drugs, the highest was compared to (interferon β-1a) 236,430 and the lowest (Ocrelizumab) was 23,965. Conclusion A large number of health economic evaluations of disease-modifying therapies (DMTs) in MS were available at the international level, the comparison of which was difficult and sometimes contradictory. However, despite the difference in the results, Cladribine tablets were cost-effective in all studies compared with injectable drugs. In addition, the present study could be of great importance for policymakers and other beneficiaries regarding the cost-effectiveness of the aforementioned drugs.

Background: This study explored the concept of ‘life balance’ during physical isolation due to COVID-19 in Iran in 2020. Methods: In a cross-sectional design, 403 participants completed the internet-based "Life Balance Inventory (LBI)”, which includes five subscales: health, relationship, identity, challenging/interesting activity, and daily activities. The data were analyzed using SPSS 21, and a significant level of less than 0.05 was considered. Descriptive statistics, t-tests, and one-way ANOVA were utilized in the analysis. Results: The total mean score of LBI was 1.51+_0.38(unbalanced). The scores were distributed among the participants as follows: 52.6% of participants scored between 0.6 and 1.5 (very unbalanced); 37.7% of participants scored between 1 and 1.5 (unbalanced); 8% of participants scored between 2 and 2.5 (moderately balanced); and finally, 1.7% of participants scored between 2.5 and 3 ( very balanced). Significant relationships were found between LBI and gender (P=0.001), chronic comorbidity (P-value =0.029), and Job (P-value=0.044). The health subscale showed no statistical difference according to the demographic factors. Males demonstrated more life balance in their daily activities, including driving and social transportation (p=0/001). Married participants and those older than 40 exhibited more balance in the relationship subscale (p-value=0/001). Teachers and faculty members showed more balance in identity (p=0.014) and relationship (p=0.001). Higher-income participants revealed more life balance in the challenge/interesting subscale (p=0.033). Conclusion: The results suggested that participants experienced an unbalanced lifestyle during the early phase of COVID-19 isolation.

Abstract Background During a COVID-19 pandemic, it is imperative to investigate the outcomes of all non-COVID-19 diseases. This study determines hospital admissions and mortality rates related to non-COVID-19 diseases during the COVID-19 pandemic among 41 million Iranians. Method This nationwide retrospective study used data from the Iran Health Insurance Organization. From September 23, 2019, to Feb 19, 2022, there were four study periods: pre-pandemic (Sept 23-Feb 19, 2020), first peak (Mar 20-Apr 19, 2020), first year (Feb 20, 2020-Feb 18, 2021), and the second year (Feb 19, 2021-Feb 19, 2022) following the pandemic. Cause-specific hospital admission and in-hospital mortality are the main outcomes analyzed based on age and sex. Negative binomial regression was used to estimate the monthly adjusted Incidence Rate Ratio (IRR) to compare hospital admission rates in aggregated data. A logistic regression was used to estimate the monthly adjusted in-hospital mortality Odds Ratio (OR) for different pandemic periods. Results During the study there were 6,522,114 non-COVID-19 hospital admissions and 139,679 deaths. Prior to the COVID-19 outbreak, the standardized hospital admission rate per million person-month was 7115.19, which decreased to 2856.35 during the first peak (IRR 0.40, [0.25–0.64]). In-hospital mortality also increased from 20.20 to 31.99 (OR 2.05, [1.97–2.13]). All age and sex groups had decreased admission rates, except for females at productive ages. Two years after the COVID-19 outbreak, the non-COVID-19 hospital admission rate (IRR 1.25, [1.13–1.40]) and mortality rate (OR 1.05, [1.04–1.07]) increased compared to the rates before the pandemic. The respiratory disease admission rate decreased in the first (IRR 0.23, [0.17–0.31]) and second years (IRR 0.35, [0.26–0.47] compared to the rate before the pandemic. There was a significant reduction in hospitalizations for pneumonia (IRR 0.30, [0.21–0.42]), influenza (IRR 0.04, [0.03–0.06]) and COPD (IRR 0.39, [0.23–0.65]) during the second year. There was a significant and continuous rise in the hematological admission rate during the study, reaching 186.99 per million person-month in the second year, reflecting an IRR of 2.84 [2.42–3.33] compared to the pre-pandemic period. The mortality rates of mental disorders (OR 2.15, [1.65–2.78]) and musculoskeletal (OR 1.48, [1.20–1.82), nervous system (OR 1.42, [1.26–1.60]), metabolic (OR 1.99, [1.80–2.19]) and circulatory diseases (OR 1.35, [1.31–1.39]) increased in the second year compare to pre-pandemic. Myocardial infarction (OR 1.33, [1.19–1.49]), heart failure (OR 1.59, [1.35–1.87]) and stroke (OR 1.35, [1.24–1.47]) showed an increase in mortality rates without changes in hospitalization. Conclusions In the era of COVID-19, the changes seem to have had a long-term effect on non-COVID-19 diseases. Countries should prepare for similar crises in the future to ensure medical services are not suspended.

BackgroundDifferent populations and areas of the world experienced diverse COVID-19 hospitalization and mortality rates. Claims data is a systematically recorded source of hospitalized patients' information that could be used to evaluate the disease management course and outcomes. We aimed to investigate the hospitalization and mortality patterns and associated factors in a huge sample of hospitalized patients.MethodsIn this retrospective registry-based study, we utilized claim data from the Iran Health Insurance Organization (IHIO) consisting of approximately one million hospitalized patients across various hospitals in Iran over a 26-month period. All records in the hospitalization dataset with ICD-10 codes U07.1/U07.2 for clinically/laboratory confirmed COVID-19 were included. In this study, a case referred to one instance of a patient being hospitalized. If a patient experienced multiple hospitalizations within 30 days, those were aggregated into a single case. However, if hospitalizations had longer intervals, they were considered independent cases. The primary outcomes of study were general and intensive care unit (ICU) hospitalization periods and case fatality rate (CFR) at the hospital. Besides, various demographic and hospitalization-associated factors were analyzed to derive the associations with study outcomes using accelerated failure time (AFT) and logistic regression models.ResultsA total number of 1 113 678 admissions with COVID-19 diagnosis were recorded by IHIO during the study period, defined as 917 198 cases, including 51.9% females and 48.1% males. The 61-70 age group had the highest number of cases for both sexes. Among defined cases, CFR was 10.36% (95% CI: 10.29-10.42). The >80 age group had the highest CFR (26.01% [95% CI: 25.75-26.27]). The median of overall hospitalization and ICU days were 4 (IQR: 3-7) and 5 (IQR: 2-8), respectively. Male patients had a significantly higher risk for mortality both generally (odds ratio (OR) = 1.36 [1.34-1.37]) and among ICU admitted patients (1.12 [1.09-1.12]). Among various insurance funds, Foreign Citizens had the highest risk of death both generally (adjusted OR = 2.06 [1.91-2.22]) and in ICU (aOR = 1.71 [1.51-1.92]). Increasing age groups was a risk of longer hospitalization, and the >80 age group had the highest risk for overall hospitalization period (median ratio = 1.52 [1.51-1.54]) and at ICU (median ratio = 1.17 [1.16-1.18]). Considering Tehran as the reference province, Sistan and Balcuchestan (aOR = 1.4 [1.32-1.48]), Alborz (aOR = 1.28 [1.22-1.35]), and Khorasan Razavi (aOR = 1.24 [1.20-1.28]) were the provinces with the highest risk of mortality in hospitalized patients.ConclusionHospitalization data unveiled mortality and duration associations with variables, highlighting provincial outcome disparities in Iran. Using enhanced registry systems in conjunction with other studies, empowers policymakers with evidence for optimizing resource allocation and fortifying healthcare system resilience against future health challenges.