- The COVID-19 pandemic and healthcare utilization in Iran: evidence from an interrupted time series analysis
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Monireh Mahmoodpour-Azari, Satar Rezaei, Nasim Badiee, Mohammad Hajizadeh, Ali Mohammadi, Ali Kazemi-Karyani, Shahin Soltani, Mehdi Khezeli
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Osong Public Health Res Perspect. 2023;14(3):180-187. Published online June 22, 2023
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DOI: https://doi.org/10.24171/j.phrp.2023.0041
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Graphical Abstract
Abstract
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- Objectives
This study aimed to examine the effect of the coronavirus disease 2019 (COVID-19) outbreak on the hospitalization rate, emergency department (ED) visits, and outpatient clinic visits in western Iran.
Methods We collected data on the monthly hospitalization rate, rate of patients referred to the ED, and rate of patients referred to outpatient clinics for a period of 40 months (23 months before and 17 months after the COVID-19 outbreak in Iran) from all 7 public hospitals in the city of Kermanshah. An interrupted time series analysis was conducted to examine the impact of COVID-19 on the outcome variables in this study.
Results A statistically significant decrease of 38.11 hospitalizations per 10,000 population (95% confidence interval [CI], 24.93–51.29) was observed in the first month of the COVID-19 outbreak. The corresponding reductions in ED visits and outpatient visits per 10,000 population were 191.65 (95% CI, 166.63–216.66) and 168.57 (95% CI, 126.41–210.73), respectively. After the initial reduction, significant monthly increases in the hospitalization rate (an increase of 1.81 per 10,000 population), ED visits (an increase of 2.16 per 10,000 population), and outpatient clinic visits (an increase of 5.77 per 10,000 population) were observed during the COVID-19 pandemic.
Conclusion Our study showed that the utilization of outpatient and inpatient services in hospitals and clinics significantly declined after the COVID-19 outbreak, and use of these services did not return to pre-outbreak levels as of June 2021.
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Citations
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- The strongest predictors of compliance with health protocols among marketers and guilds based on the transtheoretical model
Shandiz Moslehi, Asghar Tavan, Sajjad Narimani, Fardin shahbazzadeh, Nadia Sedri, Sama Sabahi BMC Public Health.2024;[Epub] CrossRef - Time series analysis of COVID-19's impact on physician and dentist visits in Iran
Satar Rezaei, Hesam Ghiasvand, Heather Brown Scientific Reports.2024;[Epub] CrossRef - A tale of two times: an exploration of healthcare utilization patterns before and during COVID-19 in Iran
Satar Rezaei, Masoud Mohammadnezhad BMC Public Health.2024;[Epub] CrossRef - From Routine to Crisis: The Impact of COVID‐19 Pandemic on Antibiotic Consumption in Iran
Satar Rezaei, Mohammad Bazyar, Sina Ahmadi, Abdolvahed Khodamoradi Health Science Reports.2024;[Epub] CrossRef
- The role of risk perception, risk communication, and demographic factors in COVID-19 preventive behaviors: an online survey in Iran
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Mansour Rezaei, Nader Rajabi Gilan, Ali Almasi, Mehdi Khezeli, Fatemeh Jamshidi Nazar, Zahra Jorjoran Shushtari, Yahya Salimi, Farid Najafi, Neda Sarabi, Shahram Saeidi, Saeid Saeidi
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Osong Public Health Res Perspect. 2022;13(4):282-289. Published online August 31, 2022
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DOI: https://doi.org/10.24171/j.phrp.2021.0345
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3,990
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Abstract
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- Objectives
This study investigated preventive behaviors toward coronavirus disease 2019 (COVID-19) and related factors in a Kurdish Iranian sample.
Methods This online survey was conducted among the population aged 18 and above in Kermanshah Province, in western Iran, in April 2020. Samples were invited and recruited through social media. Data were collected using a questionnaire consisting of 4 sections (questions on demographic variables, risk perception, risk communication, and COVID-19 preventive behaviors) and analyzed using Stata ver. 8.
Results The Pearson correlation test showed that risk communication was significantly correlated with COVID-19 preventive behaviors (r=0.320, p<0.01). In the final model, where the explanatory power increased with the entry of the risk communication variable, the variables explained a total of 14% of variance in COVID-19 preventive behaviors. Sex (β=−0.482), risk perception (β=0.047), and risk communication (β=0.662) were significant determinants.
Conclusion Risk communication and risk perception related to COVID-19, as well as being a woman, were determinants of COVID-19 preventive behaviors.
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Citations
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- Predisposing factors of using cosmetics in Iranian female students: application of prototype willingness model
Shandiz Moslehi, Asghar Tavan, Sajjad Narimani, Fatemeh Ahmadi, Masoomeh Kazemzadeh, Nadia Sedri Frontiers in Psychology.2024;[Epub] CrossRef - Utilizing social media for community risk communication in megacities: analysing the impact of WeChat group information interaction and perception on communication satisfaction during the COVID-19 pandemic in Shanghai
Yasai Chen, Yiru Chen, Shan Yu, Shuni Yu BMC Public Health.2024;[Epub] CrossRef - The strongest predictors of compliance with health protocols among marketers and guilds based on the transtheoretical model
Shandiz Moslehi, Asghar Tavan, Sajjad Narimani, Fardin shahbazzadeh, Nadia Sedri, Sama Sabahi BMC Public Health.2024;[Epub] CrossRef - Adaptive measures to deal with the next pandemic caused by climate change in at-risk groups
Laleh Hassani, Reihaneh Taheri Kondar, Sajjad Narimani, Amin Ghanbarnejad BMC Psychiatry.2024;[Epub] CrossRef - Understanding Australian Government Risk Communication Early in the COVID-19 Pandemic: Sociodemographics, Risk Attitudes and Media Consumption
Yiyun Shou, Louise M. Farrer, Amelia Gulliver, Eryn Newman, Philip J. Batterham, Michael Smithson Journal of Health Communication.2023; 28(4): 254. CrossRef - Risk perception and avoidance of preventive behavior on the COVID‐19 among cancer patients
Mehdi Khezeli, Asghar Tavan, Sajjad Narimani, Vahideh Hoseini, Elham Zare Hosseinzadeh, Parisa Motamedi Health Science Reports.2023;[Epub] CrossRef - The Role of Risk Communication in Shaping Health-Protective Behavior Amid the COVID-19 Pandemic in Thailand
Suphunnika Termmee, Bing Wang Social Sciences.2023; 12(10): 551. CrossRef
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