Direct and indirect cost of COVID-19 patients in Iran

Nakhaei, Karim; Jalilian, Habib; Arab‐Zozani, Morteza; Heydari, Somayeh; Torkzadeh, Leila; Taji, Masoomeh

doi:10.1016/j.hlpt.2021.100572

Cited by 13 publications

(21 citation statements)

References 20 publications

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“…The results of a study showed that the long-term economic burden of COVID-19 can be much higher than the cost of developing and delivering vaccines and effective treatments. 19 Therefore, without enough attention to preventive measures, the pandemic may grow beyond the capacity of healthcare systems, becoming a huge financial burden on healthcare systems in addition to causing loss of life and social damage. This is why most countries have been trying to control the spread of this potentially deadly virus by implementing preventive measures.…”

Section: Discussionmentioning

confidence: 99%

Productivity Loss of Temporary Work Absenteeism Due to COVID-19 and Its Determinant Factors in Northeastern Iran

Keyvanlo

Javan‐Noughabi

Jamebozorgi

et al. 2023

J Occup Environ Med

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Objective: This study aimed to estimate the lost productivity cost of temporary work absenteeism due to COVID-19. Methods: This study conducted on all hospitalized patients with COVID-19 in northeastern Iran between February 2020 and March 2022 (10,406 cases). Data were collected from the Hospital Information System. Indirect costs were estimated using the human capital approach. Data were analyzed with the STATA version 17. Results: The total indirect cost of work absenteeism due to COVID-19 was estimated at $513,688. There was a statistically significant relationship between the mean lost productivity cost and COVID-19 peak, sex, insurance type, age, and hospitalization. Conclusions: Because the absenteeism costs of COVID-19 had increased in the second peak, which coincided with the summer holidays, the country's crisis management headquarters should pay more attention to formulating and implementing appropriate preventive programs in future epidemics.

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Section: Discussionmentioning

confidence: 99%

Productivity Loss of Temporary Work Absenteeism Due to COVID-19 and Its Determinant Factors in Northeastern Iran

Keyvanlo

Javan‐Noughabi

Jamebozorgi

et al. 2023

J Occup Environ Med

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“…In a similar study in Iran ( 14 ), Ghafari Darab et al reported 59,203,409 Rials as the mean cost per person. Nakhaei et al ( 26 ) estimated the total direct and indirect cost for 745 hospitalized patients with COVID-19 in Vali-e-Asr Hospital affiliated with Birjand University of Medical Sciences, Iran from March 2020 to July 2020. They reported the mean of total direct cost (including hospitalization cost, outpatients cost and direct nonmedical cost) as 3362.49 PPP$.…”

Section: Discussionmentioning

confidence: 99%

Direct Inpatient Cost and Payments of COVID-19 in Iran: Quantile Regression Analysis

Khandehroo

Dorri

Paykani

et al. 2022

Med. J. Islam. Republ. Iran

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Background: COVID-19 pandemic imposes a substantial medical and socioeconomic burden on health systems. The study aimed to estimate the direct inpatient costs of COVID-19 in Iran. Methods: This is a Cost of Illness (COI) study with the bottom-up method. Provider perspective and prevalence approach were applied for cost identification. Data included inpatient charges and clinical characteristics of all COVID-19 cases (2015 patients) admitted to a teaching hospital during a financial year (March 2020 to February 2021). We extracted data from Hospital Information System (HIS) and applied the quantile regression to estimate determinant factors of COVID-19 inpatient cost using STATA software. Results: 1026 (50.92%) of admitted COVID-19 patients were female, and 42.3% were older than 65 years. More than 82% of discharged COVID-19 patients in this study recovered. 189 (9.38%) patients admitted to ICUs. Length of Stay (LOS) for about 70% of admitted COVID-19 cases was 7 days or less. The Total Inpatient Charges (TIC) was 155,372,056,826 Rials (5,041,836 PPP USD). The median charge was 42,410,477 Rials, and Average Inpatient Charges (AIC) was 77,107,720±110,051,702 (2,461 PPP USD) per person. Drugs and supplies accounted for 37% of total inpatient charges. Basic insurance companies would pay more than 79% of total claims and the share of Out-of-Pocket Payments (OOP) was 7%. ICUs admission and LOS of more than 3 days are associated with higher costs across all percentiles of the cost distribution ( p <0.001). Conclusion: This study call attention to the substantial economic burden based on real-world data. According to the broad socio-economic impacts of COVID-19 and also multiple components of COI study designs, conducting meta-analysis approaches is needed to combine results from independent studies.

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“…La anterior revisión literaria muestra como el rechazo a las vacunas es un fenómeno de carácter mundial, razón por la cual se hace necesario determinar las variables más influyentes frente a esta anomalía en cada contexto con el fin de que los gobiernos puedan plantear posibles soluciones, más si se tiene presente el impacto económico que pueden tener los brotes de Covid -19 en las finanzas públicas (Nakhaei et al, 2021;Antonini et al, 2021;Bullemore-Campbell y Cristóbal-Fransi, 2021). No obstante, un desarrollo de políticas de vacunación más permeables también implica considerar el gran impacto negativo que los elementos de vacunación como jeringas, agujas, mascarillas y la misma fabricación y almacenamiento de vacunas tienen sobre el medio ambiente (Hasija et al, 2022).…”

Section: Introductionunclassified

Variables influyentes en la vacunación contra el COVID-19: análisis desde la minería de datos

2022

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El objetivo de esta investigación es determinar las variables más influyentes en el proceso de vacunación contra COVID-19 en la población colombiana adulta y activa en redes sociales, por medio de la minería de datos y el algoritmo J48 aplicado a través de la plataforma Weka. Para ello, se analiza una variable dependiente (¿Se vacunará?) y 10 variables independientes. Una encuesta fue aplicada por medio de las redes sociales a 200 personas de la población colombiana entre 20 y 60 años. Como resultado, se encuentra que con una efectividad del 97% las causas más influyentes en la resistencia a las vacunas son: dificultad para movilizarse, efectividad de las vacunas, efectos secundarios y miedo a morir. En conclusión, la técnica de minería de datos desarrollada en esta investigación permite establecer las principales razones por las cuales las personas en el contexto de Colombia no se están vacunando contra COVID-19.

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Direct and indirect cost of COVID-19 patients in Iran

Cited by 13 publications

References 20 publications

Productivity Loss of Temporary Work Absenteeism Due to COVID-19 and Its Determinant Factors in Northeastern Iran

Productivity Loss of Temporary Work Absenteeism Due to COVID-19 and Its Determinant Factors in Northeastern Iran

Direct Inpatient Cost and Payments of COVID-19 in Iran: Quantile Regression Analysis

Variables influyentes en la vacunación contra el COVID-19: análisis desde la minería de datos

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