Assessing Iran's health system according to the COVID-19 strategic preparedness and response plan of the World Health Organization: health policy and historical implications

Psychosocial status and risk perception among Iranian healthcare workers during the fifth wave of the COVID-19 pandemic

BACKGROUND

Healthcare workers (HCWs) are essential resources, and their health and wellbeing are key not only for offering constant and useful care facilities to clients, but also for maintaining the safety of the workforce and patients. The risk of severe mental health problems among HCWs may have increased during large outbreaks of COVID-19. To evaluate the psychosocial status and risk perception of HCWs who participated in treating COVID-19 patients in Northern Iran, we performed a web-based cross-sectional study.

METHODS

The web-based cross-sectional design was applied between June 27 and September 2, 2021. Using convenience sampling, 637 HCWs were recruited from hospitals in Northern Iran (Mazandaran). The HCWs completed self-report questionnaires that included a sociodemographic information form, the 12-item General Health Questionnaire, Impact of the Event Scale-Revised, Risk Perception Questionnaire, and Anxiety Stress Scale-21. The data were analyzed via descriptive and inferential statistics and univariate/multivariate logistic regression to assess the risk factors linked to each psychosocial consequence.

RESULTS

The results reveal that the COVID-19 pandemic had an adverse psychosocial influence on HCWs, which was already apparent 1.5 years after the crisis began. Based on the results, 71.6%, 55.6%, and 32.3% of HCWs reported having anxiety, depression, and stress symptoms, respectively, since the outbreak of this disease. The logistic regression models displayed that marital status, having children, and working hours with patients were all risk factors of psychosocial impairment.

CONCLUSIONS

The outbreak of COVID-19 can be considered an important experience of a bio-disaster resulting in a significant rate of psychiatric problems in HCWs. There is a need for designing and promoting supportive programs to help HCWs cope and to improve their psychosocial state, and the present study has detected for whom psychosocial support may be effective and practical 1.5 years after the primary outbreak. Moreover, detecting and managing concerns and reducing infection-related embarrassment/stigma are essential for improving HCWs' mental health.

The role of Iran's context for the development of health technology assessment: challenges and solutions

Health technology assessment (HTA) is a comprehensive and structured evaluation that aims to analyze the potential impacts of health technologies, including medical devices, diagnostic tools, pharmaceuticals, and public health interventions. Its purpose is to provide policymakers with evidence-based information to inform decisions related to the utilization and implementation of these technologies. HTA allows for the comparison of various scenarios related to a technology across a wide range of factors. This can aid in the creation of an essential drug list and health benefits package that is tailored to the actual needs of the community within a given healthcare system. In the present paper, we review the role of Iran's context for the development of HTA, in terms of challenges and solutions.

The necessity revealed by COVID-19 pandemic: Paradigm shift of Iran's healthcare system

Background

COVID-19 pandemic has resulted in drastic changes around the world, revealing vulnerable aspects of healthcare systems. This study aimed to explore how Iranian healthcare system experienced the paradigm shift during the pandemic and determine the aspects that need improvement during the pandemic era.

Method

This qualitative study was conducted in 2021. A framework analysis approach was used to analyze the content of the 19 semi-structured interviews with the healthcare system experts from Shiraz University of Medical Sciences (SUMS). The interviews' audio files changed into transcript after each session and data was saturated at the 19 interview. To increase the trustworthiness of the study, Guba and Lincoln's criteria including credibility, transferability, dependability, and confirmability were used. Goldsmith's five-step framework analysis was used applying MAX QDA version 10 software.

Result

Eight main themes and 20 subthemes were explored. The main themes included "strengthening the electronic health infrastructure," "research for evidence-based decision making," "dedicated financing to the pandemic," "prevention of disruption in the effective provision of services and medicines," "enriching the authority of the Ministry of Health by focusing on interactions," "recruiting, managing and empowering health human resources with attention to financial and non-financial incentives," "reforming educational approaches in training students in medical universities," as well as "lessons learned from neglected aspects."

Conclusion

To be ready to respond to a possible future pandemic and for a paradigm shift, bold steps must be taken to make fundamental changes in various aspects of the healthcare system including e-health development, evidence-based decision making, dedicated budgets for pandemics, reinforcement of interactions at the national and international level, as well as sufficient attention to healthcare workers from all financial, non-financial and educational aspects.

Effect of COVID-19 on the Number of CT-scans and MRI Services of Public Hospitals in Iran: An Interrupted Time Series Analysis

Background

In February 2020, the Ministry of Health and Medical Education in Iran announced the first case of COVID-19. The aim of this study was to investigate the impact of COVID-19 on the number of CT-Scans and MRI services in public hospitals in western Iran.

Methods

We collected CT-scans and MRI services data from 18 public hospitals via Vice-Chancellor Office, Lorestan University of Medical Sciences from January 2017 to February 2021. Interrupted time series analysis (ITSA) was conducted to assess the impact of COVID-19 on CT-Scans and MRI services. More specifically, ITSA was conducted using ordinary least squares regression with the number of CT-Scans and MRI services per 1,000 registered persons per month as dependent variable.

Results

At the beginning of the observation period, the monthly rate of CT-Scans was constant (p for trend = 0.267) at 291.9 (from 95%CI 240.5 to 343.4) per 1,000 registered patients. The first case of COVID-19 coincided with an abrupt increase by 211.8 (from 95%CI 102.9 to 320.7) per 1,000 patients. Thereafter, the trend of CT-Scans did not change (p=0.576) compared to the pre-pandemic period. The rate of MRI services was 363.5 per 1,000 per registered patients per month (P = <0.0001) with a slightly decreasing trend (coefficient=-5; 95%CI, -6.9 to -3.1).

Conclusion

The findings of this study showed that crises such as COVID-19 can affect the service delivery process. Health policymakers and decision makers should work to prevent potential reductions in health care during events such as COVID-19.

The Impact of the Social Distancing Policy on COVID-19 Incidence Cases and Deaths in Iran from February 2020 to January 2021: Insights from an Interrupted Time Series Analysis

Background: In December 2019, a viral outbreak occurred in China, and rapidly spread out worldwide. Due to the lack of immediately available vaccines and effective drugs, many policy- and decision-makers have focused on non-pharmacological methods, including social distancing. This study was aimed at assessing the effects of the implementation of this policy in Iran, one of the countries most affected by COVID-19. We conducted a quasi-experimental study, utilizing the interrupted time series analysis (ITSA) approach. Methods: We collected daily data between February 20, 2020 and January 29, 2021, through governmental websites from 954 public hospitals and healthcare settings. The Iranian government launched the social distancing policy on March 27, 2020. Statistical analyses, including ITSA, were carried out with R software Version 3.6.1 (London, UK). Results: During the study period, 1,398,835 confirmed incidence cases and 57,734 deaths occurred. We found a decrease of -179.93 (95% CI: -380.11 to -20.25, P-value=0.078) confirmed incidence cases following the implementation of the social distancing policy, corresponding to a daily decrease in the trend of -31.17 (95% CI: -46.95 to -15.40, P-value=0.08). Moreover, we found a decrease of -28.28 (95% CI: -43.55 to -13.01, P-value=0.05) deaths, corresponding to a daily decrease in the trend of -4.52 (95% CI: -5.25 to -3.78, P-value=0.003). Conclusion: The growth rate of confirmed incidence cases and deaths from COVID-19 in Iran has decreased from March 27, 2020 to January 29, 2021, after the implementation of social distancing. By implementing this policy in all countries, the burden of COVID-19 may be mitigated.