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Objectives: Understanding past trends and forecasting future changes in health spending is vital for planning and reducing reliance on out-of-pocket (OOP) expenses. The current study analyzed health expenditure patterns in India and forecasted future trends and patterns until 2035. Methods: Data on health expenditure in India from 2000 to 2019 was collected from the Organisation for Economic Co-operation and Development (OECD) iLibrary and National Health Accounts 2019 databases. Gross domestic product (GDP) data from the World Bank was also utilized. Descriptive statistics analyzed the composition and pattern, while the exponential smoothing model forecasted future health expenditures. Results: The findings revealed that expenditure made by OOP is the primary health financing source, followed by government and pre-paid private spending. The percentage of GDP allocated to total health expenditure remains stable, while the per capita health expenditure fluctuates. Variations in expenditure among states are observed, with Karnataka relying heavily on pre-paid private coverage. Future projections suggest a decline in per capita and total health expenditure as a share of GDP, with a slight increase in the government's share. Pre-paid private expenditure per capita and OOP health expenditure as a share of the total is projected to remain relatively constant but still high in absolute terms. Conclusion: The study highlights variations in health spending in India, characterized by high OOP spending, limited public coverage, and a need for investments, and reforms to improve healthcare access and equity. [ABSTRACT FROM AUTHOR]

Real-time feedback is a growing trend in patient- and family experience (PFE) work as it allows for immediate service recovery, though it typically requires a significant investment of time and financial resources. We describe a partnership with our "edutainment" system to administer an automated daily experience question (the "Daily Pulse Measure [DPM]") that allowed targeted just-in-time responses to low scores with minimal administrative cost. Through a series of Plan-Do-Study-Act cycles guided by family feedback, the question was created and modified, and the use of the question spread to all hospital units. The response rate was 23%, similar to our Hospital Consumer Assessment of Healthcare Providers and Systems survey response rate of 24% during the study period. Though the DPM did not have a consistent impact on the results of the 2 PFE survey questions we evaluated, units with improved PFE scores after the DPM roll-out tended to have more robust service recovery than those with low scores. [ABSTRACT FROM AUTHOR]

Objectives: The population of older adults continues to grow in Iran, with pharmaceutical costs as a leading driver of household health-related costs. The present study was conducted to estimate the out-of-pocket pharmaceutical expenditure and its socioeconomic predictors among households with the elderly in Iran. Method: This study is a secondary analysis using 2019 national household expenditure and income survey data in Iran. The sample size was 9381 households with at least one member older than 65. The double-hurdle model in STATA 16 was used to examine the association between independent variables and households' out-of-pocket pharmaceutical expenditures. Results: The mean out-of-pocket pharmaceutical expenditures for each household with elderly member was $8065 per year. There was a positive association between the (female) gender of the household head, urban residence, employment status, insurance expenditure and a higher level of education of the head of the household with the out-of-pocket pharmaceutical expenditures (P < 0.05). The income of elderly households did not affect these expenditures (P > 0.05). Conclusions: This study showed that the socioeconomic characteristics of elderly families not only influenced their decision to enter the medicine market, but also the rate of medicine purchase. It is helpful to manage and control the pharmaceutical costs among the elderly. [ABSTRACT FROM AUTHOR]