Exploring the financial burden due to additional mobility among cancer patients: A cross-sectional study based on National Sample Survey

BACKGROUND

Cancer imposes a substantial economic burden due to treatment costs, supportive care, and loss of productivity. Besides all the affecting factors, major concerns lead to significant financial burdens of cancer treatment, bringing unwanted huge unbearable direct and indirect treatment costs. The aim was to explore the nature of additional mobility/travel required for accessing health care for cancer patients and also to assess financial burden due to additional mobility/travel costs for cancer treatment.

METHODS

This study employed unit-level cross-sectional data from the 75th round (2017-18) of India's National Sample Survey (NSS). The primary analysis commenced with descriptive and bivariate analyses to explore mean health spending and out-of-pocket expenses. Subsequently, multivariable logistic regression models were utilized to estimate the associations between catastrophic health expenditure, distress financing, and the treatment location.

RESULTS

The findings highlight distinct healthcare utilization patterns: inpatient treatments predominantly occur within the same district (50.4 %), followed by a different district (38.8 %), and a smaller share in other states (10.8 %). Outpatients largely receive treatment in the same district (65.5 %), followed by a different district (26.8 %), and around 8 % percent in other states. Urban areas show higher inpatient visits within the same district (41.8 %) and different districts (33.5 %). Outpatients, particularly those seeking treatment in other states, experience higher total expenditures, notably with higher out-of-pocket expenses. Distress financing is more common among inpatients (20.6 %) and combined inpatient/outpatient cases (23.9 %), while outpatients exhibit a lower rate (6.8 %).

CONCLUSION

The findings collectively suggest the importance of developing local healthcare infrastructures to reduce the additional mobility of cancer patients. The policy should focus to train and deploy oncologists in non-urban areas can help bridge the gap in cancer care proficiency and reduce the need for patients to travel long distances for treatment.

Economic Burden of Accidents and Injuries in India: What Does 75th Round of National Sample Survey Imply?

Background

Accidents and injuries constitute a sizable share of mortality and morbidity in low- and middle-income countries. This affects the most productive age group and increases disability-adjusted life years (DALYs). It results in a substantial financial burden on the households. To explore the economic burden of accidents and Injuries on Indian households and to find how the catastrophic health expenditure (CHE) from accidents and injuries affects the population. Another objective is to explore Catastrophic out-of-pocket expenditures (OOPE) patterns and distressed financing of households in India.

Materials and Methods

The study used data from the 75th round of nationally representative surveys, that is, the National Sample Survey (NSS). Authors have analyzed the data using descriptive binary logistic regression analysis to estimate the rate and average days of hospitalization, average OOPE, and share of the population experiencing the catastrophic impact from the health expenditure separately from the public and private healthcare institutions.

Results

The study observed that hospitalization in the private sector imposes 72% of households incur CHE at more than 10% cut-off and 41% at more than 25% cut-off. In comparison, it is less in the public sector, with 22% of households incurring CHE at more than 10% of annual per capita household income and 9% at more than 25%.

Conclusion

The increasing incidence of road traffic accidents (RTA) is a concern for the overstretched health system. The government should provide better healthcare facilities and universal health insurance coverage to ensure patients' speedy recovery and financial security.

Economic Burden of Mosquito-Borne Diseases in Low- and Middle-Income Countries: Protocol for a Systematic Review

BACKGROUND

Globally, among all the vector-borne diseases, mosquito-borne diseases are responsible for a substantial number of cases and deaths and amount to an economic cost of US $12 billion per year. However, there is a dearth of systematic research conducted on the economic burden of mosquito-borne diseases. To address the lack of comprehensive information on this topic, a systematic review will be conducted to synthesize evidence for informing targeted policies and strategies addressing this growing burden and for better financial protection of households.

OBJECTIVE

The systematic review aims to review the economic burden of mosquito-borne diseases in low- and middle-income countries (LMICs). The review estimates the total cost, which is the compilation of both the direct costs and indirect costs. Additionally, it reports cost estimates per disease, country, and patient. The review outcome will also discuss the impact of the economic burden in terms of out-of-pocket expenditure, catastrophic health expenditure, impoverishment, and gross domestic product impact due to mosquito-borne diseases in LMICs.

METHODS

Systematic searches will be conducted in PubMed (MEDLINE), Ovid Embase, Scopus, the cumulative index of nursing and allied health literacy, and Cochrane CENTRAL. Additionally, websites of the World Bank, World Health Organization, and Asian Development Bank as well as grey literature (eg, Malaria No More and the Ministry of Health websites) will be searched to gather comprehensive information on the topic and identify studies published in the English language. The titles and abstracts will be independently screened by 2 reviewers, followed by a full-text review against the inclusion criteria. Disagreements will be resolved through discussion with a third author. The methodological reporting quality of the studies will be evaluated using the Larg and Moss checklist, Cochrane risk-of-bias tool for randomized trials, and the Consensus on Health Economic Criteria. Data will be extracted using a standardized data extraction form.

RESULTS

The protocol was registered in PROSPERO (CRD42023427111) prior to the initiation of the search strategy. The review is currently ongoing and will synthesize information from the identified studies through a process involving structured screening, data extraction, and critical appraisal in the form of tables and a narrative summary of studies reporting the economic burden incurred due to mosquito-borne diseases in LMICs.

CONCLUSIONS

This review seeks to report the economic burden of mosquito-borne diseases. It will act as evidence for policymakers to prioritize their decisions regarding containing the prevalence of mosquito-borne diseases and the means to lowering the incidence of diseases spread by mosquitoes.

TRIAL REGISTRATION

PROSPERO CRD42023427111; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=427111.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/50985.

Cancer care and economic burden-A narrative review

Cancer care poses a significant economic burden in India, where noncommunicable diseases contribute to a large number of deaths and disability-adjusted life-years. Despite economic growth, equitable wealth distribution remains a challenge, leading to inequalities in healthcare access. India's healthcare system is primarily privatized, financed through out-of-pocket expenditure (OOPE), and lacks coverage for a majority of the population. As a result, individuals without financial means face catastrophic health consequences when seeking necessary healthcare. OOPE in India's healthcare system is a major concern, with medicines accounting for a significant portion of expenses, followed by diagnostic tests and consultation fees. Nonmedical expenses also contribute to the financial burden. Cancer care specifically faces substantial financial challenges, with high treatment costs, reduced workforce participation, and the need for distress financing. Cancer-related OOPE is predominantly borne by patients and their families, leading to significant financial strain. The lack of comprehensive health insurance coverage and limited access to publicly funded healthcare services exacerbate the problem. Catastrophic health expenditure (CHE) in cancer care is prevalent, pushing households into financial distress and potentially impoverishment. Efforts have been made to address this issue, such as increasing public spending on healthcare and implementing health insurance schemes. However, challenges remain in ensuring their effectiveness and reach. The role of family care physicians is crucial in supporting patients and their families during catastrophic health expenditures related to cancer-related palliative care. They coordinate care, provide advocacy, emotional support, symptom management, and facilitate end-of-life discussions. Comprehensive measures are needed to strengthen healthcare infrastructure, improve access to affordable cancer care, enhance health insurance coverage, and implement supportive measures for cancer patients. Additionally, promoting preventive measures and early detection can help reduce the need for expensive treatments and decrease the risk of catastrophic health expenditures.

Out-of-pocket expenditures and catastrophic expenditures on inpatient care among households of an urban village in Delhi

Background

Out-of-pocket expenditure (OOPE) for inpatient care has been known to cause maximum impoverishment. It can have debilitating consequences for urban poor households. It is necessary to study inpatient care costs and the related factors among the households of an urban village to determine their vulnerability to catastrophic expenditure and to protect them from it.

Objective

The study aimed to calculate the mean OOPE on inpatient care, and catastrophic health expenditure among households of an urban village in Delhi.

Design

This was a cross-sectional study conducted over 18 months among urban village households of Delhi who have been residing for the last 1 year.

Methods

A sample size of 188 was calculated based on another study, and households were selected using systematic random sampling. A pre-designed, pre-tested, semi-structured, and interviewer-administered questionnaire in Hindi was used to elicit and record relevant information. Data were recorded and coded, and analysis was done using licensed SPSS v.26 software. Tables were generated for relevant data, and cross-tables were used to assess statistical association with chi-square or Fisher exact tests, as required. A p-value of 0.05 was considered statistically significant.

Results

The mean annual OOPE borne by a household on inpatient care was INR 6870.3 (SD ± 30,580.6), where 93.3% of OOPE was incurred while seeking treatment from public facilities. The OOPE on inpatient care had a statistically significant association with households having joint family, members from vulnerable population, and belonging to Delhi.

Conclusion

The households of an urban village of Aliganj, Delhi, have high OOPE on inpatient care (60.6%) and catastrophic health expenditure (75.6%).

Cost of HSCT in a Tertiary Care Public Sector Hospital in India

India harbours a significant burden of hematological diseases including cancers for which Hematopoietic Cell Transplant (HCT) is a definitive life-saving procedure. Very few studies in India have carried out the costing of the important procedure, hence we undertook a study to ascertain the cost of auto HCT in our tertiary care teaching hospital. We did a prospective study using Top-down and Bottom-up approach to arrive at the cost of autologous HCT which came out to be INR 699,200 ($10,282) out of which hospital bears 34% of the cost. The major share of the hospital cost is on account of expenditure on Human Resources. The rest 66% is Out of Pocket Expenditure (OOPE) for the patients. We also calculated the cost which is borne by patient attendants over & above the cost of procedure while caring for the patient, which on an average came to be INR 88,598. This is approximately 19% of the cost borne by the patient for the procedure itself. The cost is usually not factored in while contemplating the procedure and is not covered by any insurance scheme. The overall cost, OOPE & attendant cost can all lead to a substantial financial hardship. Hence, steps need to be taken to make HCT an affordable and accessible procedure.

Multimorbidity and Its Outcomes Among Patients Attending Psychiatric Care Settings: An Observational Study From Odisha, India

Background: Multimorbidity, the presence of two or more chronic health conditions is linked to premature mortality among psychiatric patients since the presence of one can further complicate the management of either. Little research has focused on the magnitude and effect of multimorbidity among psychiatric patients in low-and middle-income settings. Our study, provides the first ever data on multimorbidity and its outcomes among patients attending psychiatric clinics in Odisha, India. It further explored whether multimorbidity was associated with higher medical expenditure and the interaction effect of psychiatric illness on this association.

Methods: This cross-sectional study included 500 adult patients presenting to the psychiatric clinic of a medical college hospital in Odisha over a period of 6 months (February 2019–July 2019). A validated structured questionnaire, “multimorbidity assessment questionnaire for psychiatric care” (MAQ-PsyC) was used for data collection. We used multinomial logistic model for the effect estimation. Odds ratios (OR) and 95% confidence intervals (CI) for high healthcare utilization and expenditure were calculated by number and pattern of multimorbidity. Data was analyzed by STATA 14.

Results: Half (50%) of the psychiatric outpatients had multimorbidity. The relative probabilities of having one additional condition were 5.3 times (RRR = 5.3; 95% CI: 2.3, 11.9) and multiple morbidities were 6.6 times (RRR = 6.6; 95%CI: 3.3, 13.1) higher for patients in 60+ age group. Healthcare utilization i.e., medication use and physician consultation was significantly higher for psychiatric conditions such as mood disorders, schizophrenia, schizotypal and delusional disorders, and for hypertension, cancer, diabetes, among somatic conditions. Out of pocket expenditure (OOPE) was found to be highest for laboratory investigations, followed by medicines and transport expenditure. Within psychiatric conditions, mood disorders incurred highest OOPE ($93.43) while hypertension was the most leading for OOPE in physical morbidities ($93.43). Psychiatric illnesses had a significant interaction effect on the association between multimorbidity and high medical expenditure (P = 0.001).

Conclusion: Multimorbidity is highly prevalent in psychiatric patients associated with significantly high healthcare utilization and medical expenditure. Such disproportionate effect of psychiatric multimorbidity on healthcare cost and use insinuates the need for stronger financial protection and tailor-made clinical decision making for these vulnerable patient subgroups.

Analysing the expenditure on childbearing: a community-based cross-sectional study in rural areas of Punjab (India)

Background

A vast array of literature has established that high maternity expenditure precludes women from accessing health services. Further, this maternity expenditure takes catastrophic form, forcing individuals or households to significantly lower their standard of living now or at some time in future. The present study analyses expenditure on childbearing in rural areas of one of the richest and top performer states on health parameters in India, namely Punjab along with examining the determinants of catastrophic expenditure. It also attempts to examine the implementation of Janani Shishu Suraksha Karyakaram (JSSK) which entitles pregnant women to free maternity services in public health facilities.

Methods

A cross-sectional study was conducted in rural areas of Punjab involving 420 recently delivered women, who were questioned about their socio-economic attributes and expenditure incurred in the process of childbearing using face to face, semi-structured interviews. Employing logistic regression, an attempt has been made to understand the determinants of catastrophic maternity expenditure, i.e., expenditure exceeding 10% of annual household income.

Results

Of the 420 respondents surveyed, 96.7% reported bearing expenditure on childbearing, irrespective of the type of health facility used and 25% respondents spent catastrophically. On an average, respondents have spent US$62.87 on antenatal care, US$112.86 on delivery and US$6.55 on postnatal care. The results of multivariable analysis reveal that respondents belonging to general category (non reserve category), lower wealth quintiles and using private health facilities have higher odds of incurring catastrophic expenditure. At the same time, poor quality of care at government hospitals and inability of public health staff to provide timely treatment are the driving forces for utilizing private health facilities. Even in the presence of free maternity scheme at government hospitals, respondents on an average spent US$55.22 on availing maternity services.

Conclusion

The study shows that risk of bearing catastrophic expenditure and being pushed down to abject poverty is higher for respondents who are already at the bottom of wealth quintiles. The policy imperative has to swing towards upgrading the creaky health infrastructure and addressing the issues of poor accountability and corruption at government hospitals, along with thwarting unregulated expansion of private health sector.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06075-2.

Out-of-pocket expenditure and distress financing on institutional delivery in India

BACKGROUND

Despite large investment in central and state sponsored schemes for maternal care, out-of-pocket expenditure (OOPE) and catastrophic health spending (CHS) on institutional delivery remain high over time, across states and across socio-economic groups. Though many studies have examined the OOPE and CHS, few studies have examined the nature and extent of distress financing on institutional delivery in India.

DATA

Data from the fourth round of National Family Health Survey (NFHS 4), 2015-16 was used for the analysis. Distress financing was defined as borrowing money or selling assets to meet the OOPE on delivery care. Composite variables, descriptive analyses, concentration index (CI), concentration curve (CC) and predicted probability were used to estimate the extent of distress financing for institutional delivery in India.

RESULTS

The OOPE on institutional delivery has strong economic and educational gradient. One in four mothers resorted to borrowing or selling to meet the OOPE on institutional delivery. The extent of distress financing on institutional delivery was high in poorer state of Bihar and Odisha and in the state of Telangana that had highest prevalence of caesarean delivery. Savings was more prevalent among mothers compared to those who met the OOPE by borrowing/selling of assets. Finding are robust across the states of India. The predicted probability of incurring distress financing was 0.31 among mothers belonging to the poorest wealth quintile compared to 0.09 in the richest quintile, and 0.40 for those who incurred OOPE of more than INR 20,000. The probability of incurring distress financing was higher for mothers who had caesarean birth, delivered in private health centers and incurred high OOPE on institutional delivery.

CONCLUSION

Distress financing on institutional delivery was higher among the less educated, poor and in private health centers. Increasing use of public health centers, reducing caesarean births, improving the availability of medicine and diagnostic services can reduce the extent of distress financing in India.

Does spending matters? Re-looking into various covariates associated with Out of Pocket Expenditure (OOPE) and catastrophic spending on accidental injury from NSSO 71st round data

BACKGROUND

Accidental Injury is a traumatic event which not only influences physical, psychological, and social wellbeing of the households but also exerts extensive financial burden on them. Despite the devastating economic burden of injuries, in India, there is limited data available on injury epidemiology. This paper aims to, first, examine the socio-economic differentials in Out of Pocket Expenditure (OOPE) on accidental injury; second, to look into the level of Catastrophic Health Expenditure (CHE) at different threshold levels; and last, to explore the adjusted effect of various socio-economic covariates on the level of CHE.

METHODS

Data was extracted from the key indicators of social consumption in India: Health, National Sample Survey Organisation (NSSO), conducted by the Government of India during January-June-2014. Logistic regression analysis was employed to analyse the various covariates of OOPE and CHE associated to accidental injury.

FINDINGS

Binary Logistic analysis has demonstrated a significant association between socioeconomic status of the households and the level of OOPE and CHE on accidental injury care. People who used private health services incurred 16 times higher odds of CHE than those who availed public facilities. The result shows that if the person is covered via any type of insurance, the odd of CHE was lower by about 28% than the uninsured. Longer duration of stay and death due to accidental injury was positively associated with higher level of OOPE. Economic status, nature of healthcare facility availed and regional affiliation significantly influence the level of OOPE and CHE.

CONCLUSION

Despite numerous efforts by the Central and State governments to reduce the financial burden of healthcare, large number of households are still paying a significant amount from their own pockets. There are huge differentials in cost for the treatment among public and private healthcare providers for accidental injury. It is expected that the findings would provide insights into the prevailing magnitude of accidental injuries in India, the profile of the population affected, and the level of OOPE among households.

Does equity in healthcare spending exist among Indian states? Explaining regional variations from national sample survey data

BACKGROUND

Equity and justice in healthcare payment form an integral part of health policy and planning. In the majority of low and middle-income countries (LMICs), healthcare inequalities are further aggravated by Out of Pocket Expenditure (OOPE). This paper examines the pattern of health equity and regional disparities in healthcare spending among Indian states by applying Andersen's behavioural model of healthcare utilization.

METHODS

The present study uses data from the 66th quinquennial round of Consumer Expenditure Survey, of the National Sample Survey Organization (NSSO), conducted in 2009-10 by Ministry of Statistics and Programme Implementation (MoSPI), Government of India (GoI). To measure equity and regional disparities in healthcare expenditure, states have been categorized under three heads on the basis of monthly OOPE i.e., Category A (OOPE > =INR 100); Category B (OOPE between INR 50 to 99) and Category C (OOPE < INR 50). Multiple Generalised Linear Regression Model (GLRM) has been employed to explore the effect of various socio-economic covariates on the level of OOPE.

RESULTS

The gap in the ratio of average healthcare spending between the poorest and richest households was maximum in Category A states (richest/poorest = 14.60), followed by Category B (richest/poorest 11.70) and Category C (richest/poorest 11.40). Results also indicate geographical concentration of lower level healthcare spending among Indian states (e.g., Odisha, Chhattisgarh and all the north-eastern states). Results from the multivariate analysis suggest that people residing in urban areas, having higher economic status, belonging to non-Muslim communities, non-Scheduled Tribes (STs), and non-poor households spend more on healthcare than their counterparts.

CONCLUSIONS

In spite of various efforts by the government to reduce the burden of healthcare spending, widespread inequalities in healthcare expenditure are prevalent. Households with high healthcare needs (SCs/STs, and the poor) are in a more disadvantaged position in terms of spending on health care. It has also been observed that spending on healthcare was comparatively lower among backward or isolated states. No doubt, the overall social security measures should be enhanced, but at the same time, looking at the regional differences, more priority should be assigned to the disadvantaged states to reduce the burden of OOPE. It is proposed that there is need to increase government spending, especially for the disadvantaged states and population, to minimise the burden of OOPE.

Out-of-pocket expenditure on prenatal and natal care post Janani Suraksha Yojana: a case from Rajasthan, India

BACKGROUND

Though Janani Suraksha Yojana (JSY) under National Rural Health Mission (NRHM) is successful in increasing antenatal and natal care services, little is known on the cost coverage of out-of-pocket expenditure (OOPE) on maternal care services post-NRHM period.

METHODS

Using data from a community-based study of 424 recently delivered women in Rajasthan, this paper examined the variation in OOPE in accessing maternal health services and the extent to which JSY incentives covered the burden of cost incurred. Descriptive statistics and logistic regression analyses are used to understand the differential and determinants of OOPE.

RESULTS

The mean OOPE for antenatal care was US$26 at public health centres and US$64 at private health centres. The OOPE (antenatal and natal) per delivery was US$32 if delivery was conducted at home, US$78 at public facility and US$154 at private facility. The OOPE varied by the type of delivery, delivery with complications and place of ANC. The OOPE in public health centre was US$44 and US$145 for normal and complicated delivery, respectively. The share of JSY was 44 % of the total cost per delivery, 77 % in case of normal delivery and 23 % for complicated delivery. Results from the log linear model suggest that economic status, educational level and pregnancy complications are significant predictors of OOPE.

CONCLUSIONS

Our results suggest that JSY has increased the coverage of institutional delivery and reduced financial stress to household and families but not sufficient for complicated delivery. Provisioning of providing sonography/other test and treating complicated cases in public health centres need to be strengthened.