Determinants of catastrophic health expenditure attributable to non-communicable diseases and Impoverishment in Pakistan
Naz, L.; Sriram, S.; Sardar, F.
Show abstract
BackgroundPakistan has a disproportionately high burden of non-communicable diseases (NCDs), leading to an increase in healthcare utilization and associated out-of-pocket health expenditure, adversely affecting the well-being of the household. This study aims to identify the determinants of catastrophic health expenditure (CHE) on NCDs and quantify the impoverishment effects of OOP expenditure attributable to NCDs. MethodsThe study used Household Integrated Economic Survey - 2018/2019 and the National Health Accounts Data 2017. The welfare impact of out-of-pocket health spending associated with NCDs was assessed using specific measures: a) incidence and intensity of catastrophic health expenditure and b) the impoverishing effect. A generalized linear model with a logit link function was used to study the determinants of CHE at different thresholds. ResultsThe poverty headcount was 20.5% without accounting for OOP expenditure for NCDs; with adjustment, it increased to 27%, causing 13 million (from 42.4 million to 55.6) more people to fall into poverty. Households experiencing CHE fell from 60% to 3.5% as the threshold increased from 10% to 40%, implying fewer households encounter CHE at higher thresholds. Larger families, male-headed, families with children and older members, having more members with NCDs, and using private healthcare were more likely to incur CHE. ConclusionsCHE has a high propensity to push households into poverty. Pakistans National Health Vision 2016-2025 recognizing the provision of Universal Health Coverage and poverty alleviation as the top health and social priorities needs to be implemented to achieve Sustainable Development Goal targets of UHC and financial risk protection. Key messagesO_LIHouseholds out-of-pocket spending associated with non-communicable disease was USD19 per month. C_LIO_LIFemale headed families had a lower likelihood of incurring catastrophic health expenditure on NCDs than the male. C_LIO_LIOnly a fewer households encountered catastrophic health expenditure at higher thresholds. C_LIO_LIRural households had a higher impoverishing effect of out-of-pocket expenditure associated with NCDs compared to the urban. C_LI
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Multidimensional vulnerability and financial risk protection in health in contexts of protracted conflict: Evidence from the Occupied Palestinian Territory 95%
- Costs, catastrophic out-of-pocket payments and impoverishment related to accessing surgical care among households in rural Ethiopia 95%
- Conflict driven displacement and child health: Evidence from Jordan 95%
Similar papers in this journal
- Unequal Benefits: The Effects of Health Insurance Integration on Consumption Inequality in Rural China 94%
- Assessment of COVID-19 Pandemic in Nepal: A Lockdown Scenario Analysis 93%
- Assessing the multiple dimensions of poverty. Data mining approaches to the 2004-14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua 93%
Similar papers in this journal
- Impact of school closures and reopening on COVID-19 caseload in 6 cities of Pakistan: An Interrupted Time Series Analysis 94%
- Willingness and Perceived ability to pay for Ugandas Proposed National Health Insurance Scheme among Informal Sector workers in Iganga and Mayuge districts, Uganda: A Contingent Valuation Method. 94%
- Prevalence and risk factors for severe food insecurity and poor food consumption during a drought emergency in Ethiopia 93%
Similar papers in this journal
- Double burden of malnutrition in children aged 24-59 months by socioeconomic status in five South Asian countries: evidence from Demographic and Health Surveys 94%
- The intersectional role of paternal gender-equitable attitudes and maternal empowerment on child undernutrition in India 94%
- Use of health care services during the Covid-19 pandemic in Ethiopia: Evidence from a health facility survey 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.