Policy analysis of the protection of Iranian households against catastrophic health expenditures: a qualitative analysis

Hedayati, Maryam; Asl, Iravan Masoudi; Maleki, Mohammadreza; Fazaeli, Ali Akbar; Goharinezhad, Salime

doi:10.1186/s12913-023-09275-0

Cited by 2 publications

(2 citation statements)

References 48 publications

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“…Despite the implementation of numerous policies and strategies in recent decades, Iran’s health system has not achieved its goal of effectively protecting households against CHE [ 25 ]. Although efforts to improve equity in financing healthcare services, inequality in healthcare costs in Iran increased from 1984 to 2010.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and Determinants of Catastrophic Healthcare Expenditures in Iran From 2013 to 2019

mousavi,

lotfi,

Alipour

et al. 2024

JPMPH

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Objectives: Protecting people against financial hardship caused by illness stands as a fundamental obligation within healthcare systems and constitutes a pivotal component in achieving universal health coverage. The objective of this study was to analyze the prevalence and determinants of catastrophic health expenditures (CHE) in Iran, over the period of 2013 to 2019.Methods: Data were obtained from 7 annual national surveys conducted between 2013 and 2019 on the income and expenditures of Iranian households. The prevalence of CHE was determined using a threshold of 40% of household capacity to pay for healthcare. A binary logistic regression model was used to identify the determinants influencing CHE.Results: The prevalence of CHE increased from 3.60% in 2013 to 3.95% in 2019. In all the years analyzed, the extent of CHE occurrence among rural populations exceeded that of urban populations. Living in an urban area, having a higher wealth index, possessing health insurance coverage, and having employed family members, an employed household head, and a literate household head are all associated with a reduced likelihood of CHE (<i>p</i><0.05). Conversely, the use of dental, outpatient, and inpatient care, and the presence of elderly members in the household, are associated with an increased probability of facing CHE (<i>p</i><0.05).Conclusions: Throughout the study period, CHE consistently exceeded the 1% threshold designated in the national development plan. Continuous monitoring of CHE and its determinants at both household and health system levels is essential for the implementation of effective strategies aimed at enhancing financial protection.

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Section: Discussionmentioning

confidence: 99%

Prevalence and Determinants of Catastrophic Healthcare Expenditures in Iran From 2013 to 2019

mousavi,

lotfi,

Alipour

et al. 2024

JPMPH

View full text Add to dashboard Cite

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“…As Iran moves towards universal health coverage, valuing all services, including non-marketable ones like informal care, is crucial. This helps track progress, identify funding gaps, and ensure fairness for everyone [ 22 ]. Additionally, with limited resources, it is crucial to allocate them effectively.…”

Section: Introductionmentioning

confidence: 99%

Prediction of COVID-19 patients’ participation in financing informal care using machine learning methods: willingness to pay and willingness to accept approaches

Ramezani-Doroh,

Najafi-Ghobadi,

Karimi

et al. 2024

BMC Health Serv Res

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Background Informal care plays an essential role in managing the COVID-19 pandemic. Expanding health insurance packages that reimburse caregivers' services through cost-sharing policies could increase financial resources. Predicting payers' willingness to contribute financially accurately is essential for implementing such a policy. This study aimed to identify the key variables related to WTP/WTA of COVID-19 patients for informal care in Sanandaj city, Iran. Methods This cross-sectional study involved 425 COVID-19 patients in Sanandaj city, Iran, and 23 potential risk factors. We compared the performance of three classifiers based on total accuracy, specificity, sensitivity, negative likelihood ratio, and positive likelihood ratio. Results Findings showed that the average total accuracy of all models was over 70%. Random trees had the most incredible total accuracy for both patient WTA and patient WTP(0.95 and 0.92). Also, the most significant specificity (0.93 and 0.94), sensitivity (0.91 and 0.87), and the lowest negative likelihood ratio (0.193 and 0.19) belonged to this model. According to the random tree model, the most critical factor in patient WTA were patient difficulty in personal activities, dependency on the caregiver, number of caregivers, patient employment, and education, caregiver employment and patient hospitalization history. Also, for WTP were history of COVID-19 death of patient's relatives, and patient employment status. Conclusion Implementing of a more flexible work schedule, encouraging employer to support employee to provide informal care, implementing educational programs to increase patients' efficacy, and providing accurate information could lead to increased patients' willingness to contribute and finally promote health outcomes in the population.

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Policy analysis of the protection of Iranian households against catastrophic health expenditures: a qualitative analysis

Cited by 2 publications

References 48 publications

Prevalence and Determinants of Catastrophic Healthcare Expenditures in Iran From 2013 to 2019

Prevalence and Determinants of Catastrophic Healthcare Expenditures in Iran From 2013 to 2019

Prediction of COVID-19 patients’ participation in financing informal care using machine learning methods: willingness to pay and willingness to accept approaches

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