Comparison of Real Cost Versus the Indonesian Case Base Groups (INA-CBGs) Tariff Rates Among Patients of High- Incidence Cancers Under the National Health Insurance Scheme

Toward a Framework to Assess the Financial and Economic Burden of Cervical Cancer in Low- and Middle-Income Countries: A Systematic Review

PURPOSE

To review the economic burden assessment of cervical cancer in low- and middle-income countries (LMICs) and use the findings to develop a pragmatic, standardized framework for such assessment.

METHODS

We first systematically reviewed articles indexed in scientific databases reporting the methodology for collecting and calculating costs related to the cervical cancer burden in LMICs. Data on study design, costing approach, cost perspective, costing period, and cost type (direct medical costs [DMC], direct nonmedical costs [DNMC], and indirect costs [IC]) were extracted. Finally, we summarized the reported limitations in the methodology and used the solutions to inform our framework.

RESULTS

Cervical cancer treatment costs across LMICs vary greatly and can be extremely expensive, up to 70,968 International US dollars. Economic and financial assessment methods also vary greatly across countries. Of the 28 reviewed articles, 25 studies reported DMC for cervical cancer treatment by extracting cost information from billing or insurance databases (eight studies), conducting surveys (five), and estimating the costs (12). Only 11 studies-mainly through surveys-reported DNMC and IC. The economic burden assessment framework includes health care/payer and societal perspectives (DMC, DNMC, IC, and human capital loss) across the cervical cancer screening and treatment continuum. To assess health care/payer costs, we recommend combining the predefined treatment standards with actual local treatment practices, multiplied by unit costs. To assess societal costs, we recommend conducting a cost survey in line with a standardized yet adaptable protocol.

CONCLUSION

Our standardized, pragmatic framework allows assessment of economic and financial burden of cervical cancer in LMICs despite the different levels of available resources across countries. This framework will facilitate global comparisons and monitoring and may also be applied to other cancers.

Incidence of catastrophic health spending in Indonesia: insights from a Household Panel Study 2018-2019

BACKGROUND

Indonesia implemented one of the world's largest single-payer national health insurance schemes (the Jaminan Kesehatan Nasional or JKN) in 2014. This study aims to assess the incidence of catastrophic health spending (CHS) and its determinants and trends between 2018 and 2019 by which time JKN enrolment coverage exceeded 80%.

METHODS

This study analysed data collected from a two-round cross-sectional household survey conducted in ten provinces of Indonesia in February-April 2018 and August-October 2019. The incidence of CHS was defined as the proportion of households with out-of-pocket (OOP) health spending exceeding 10% of household consumption expenditure. Chi-squared tests were used to compare the incidences of CHS across subgroups for each household characteristic. Logistic regression models were used to investigate factors associated with incurring CHS and the trend over time. Sensitivity analyses assessing the incidence of CHS based on a higher threshold of 25% of total household expenditure were conducted.

RESULTS

The overall incidence of CHS at the 10% threshold fell from 7.9% to 2018 to 4.4% in 2019. The logistic regression models showed that households with JKN membership experienced significantly lower incidence of CHS compared to households without insurance coverage in both years. The poorest households were more likely to incur CHS compared to households in other wealth quintiles. Other predictors of incurring CHS included living in rural areas and visiting private health facilities.

CONCLUSIONS

This study demonstrated that the overall incidence of CHS decreased in Indonesia between 2018 and 2019. OOP payments for health care and the risk of CHS still loom high among JKN members and among the lowest income households. More needs to be done to further contain OOP payments and further research is needed to investigate whether CHS pushes households below the poverty line.

Trend in the admissions of patients with non-COVID-19 respiratory symptoms during COVID-19 pandemic and its impact on hospital finances in surabaya, Indonesia

Background

COVID-19 cases surge, it has a crucial impact on healthcare systems, with rapidly increasing demand for healthcare resources in hospitals and intensive care units (ICUs) in Indonesia and worldwide. It is necessary to quantify the extent to which the effects of the COVID-19 pandemic on the hospital admissions, and clinical and financial outcomes of patients with non-COVID-19 respiratory symptoms.

Objective

To determine whether the COVID-19 pandemic changed the hospitalisation of child and adult patients with non-COVID-19 respiratory conditions and whether these changes affected the patient's disease condition, clinical outcomes, and hospital finances.

Methods

A retrospective cohort study was conducted from May 1, 2018 (before the COVID-19 pandemic) until December 31, 2021. Total sampling was done to compare hospital admission of patients with non-COVID-19 respiratory symptoms before versus during the COVID-19 pandemic. The results were analyzed using SPSS 26.0 and SmartPLS.v.3.2.9.

Results

There was a reduction in hospitalisations for respiratory disorders unrelated to COVID-19 during the pandemic by 55.3% in children and 47.8% in adult patients. During the pandemic, the average hospital revenue per patient of child and adult patients increased significantly, but the profit per patient decreased. Pathway analysis showed that in children, the COVID-19 Pandemic changed disease severity and complexity (β = 0.132, P < 0.001), as well as clinical outcomes (β = 0.029, P < 0.05). In adults, the COVID-19 pandemic improves disease severity and complexity (β = -0.020, P < 0.001), as well as clinical outcomes (β = -0.013, P < 0.001). COVID-19 pandemic increases care charges (in children with β = 0.135, P < 0.001; and in the adult patients with β = 0.110, P < 0.001), worsens hospital financial outcomes relating to child (β = -0.093, P < 0.001) and adult patient (β = -0.073, P < 0.001). In adult patients, seasonal variations moderate the impact of the COVID-19 pandemic on improving disease conditions (β = -0.032, P=<0.001). The child structural model effectively predicted clinical outcomes (Q² = 0.215) and financial outcomes (Q² = 0.462). The adult structural model effectively predicted clinical outcomes (Q² = 0.06) and financial outcomes (Q² = 0.472).

Conclusion

The conclusions are that the number of non-COVID respiratory patients decreased during the COVID-19 pandemic (47.8% in adult patients, 55.3% in child patients). Disease severity and complexity increased in child patients but decreased in adult patient. Costs of care and insurance payments increased. Since the insurance payments did not increase as much as the cost of care, hospital profit decreased.

Breast, cervical, and lung cancer: A comparison of real healthcare costs and INA-CBGs rates in the era of national health insurance

Background

In Indonesia, the cost of cancer treatment has been determined by the Indonesian Case Base Groups (INA-CBGs) based on a code called the INA-CBG's rates. However, a fair claim should be based on the severity of the disease and the class of treatment in the hospital, not on the rates of code. In fact, the real cost of therapy for cancer is influenced by several factors including stage, comorbidity, and severity (INA-CBGs coding, type of hospital, hospital class, treatment grade, side effects, and length of stay), so in many cases, there are reported differences between the real costs and the INA-CBGs rates charged to patients.

Objective

This study aims to investigate the difference between real treatment costs and INA-CBG's rates for cases of lung cancer, cervical cancer, and breast cancer at a cancer center hospital in Indonesia.

Methods

This work uses an observational study, and the data were taken retrospectively from hospital financial data and patient medical records. The data were then analyzed using a one-sample t-test to determine the difference between real costs and INA-CBGs costs.

Results

The results showed that there was no significant difference between real costs and INA-CBG's cost on stage II lung cancer treatment in grade 2 with a sig. value of 0.683; code C-4-13-II in grade 3 with a sig. value of 0.151; and code C-4-13-III in grade 3 with a sig. value of 0.650; where the significance level (t alpha) is more than 0.05. Furthermore, the treatment costs for cervical cancer with codes C-4-13-I and C-4-13-II in grade 1 had sig. values of 0.155 and 0.720 respectively. Lastly, the treatment cost for breast cancer patients with codes C-4-12-II in grade 3 had a sig. value of 0.145 and code C-4-13-II in grade 3 showed a sig. value of 0.091.

Conclusion

Although statistical evaluation showed a significant difference for some cases and not significant for other cases, in real conditions, there is a difference between the INA-CBGs and the real costs that must be evaluated by the government and stakeholders to provide justice for cancer patients.

Pediatric Residency Training amid the COVID-19 Pandemic: Exploring the Impact of Supervision and Clinical Practice Guidelines on Clinical and Financial Outcomes

Objective

This study is aimed at calculating the magnitude of the effect of clinical practice guidelines (CPG) and supervision in inhibiting the negative impact of the COVID-19 pandemic on clinical and financial outcomes of non-COVID-19 inpatient care by pediatric residents in academic medical center (AMC) hospitals during the COVID-19 pandemic.

Methods

The cohort retrospective study was conducted. This study collected patient data from pediatric residency programs. A research cohort consisted of non-COVID-19 pediatric patients at Dr. Soetomo General Academic Hospital. This study compared the subgroup of patients treated during the pandemic with those treated before the pandemic. The results were analyzed using SPSS 26.0 and Smart-PLS.

Results

There was a 41.4% decrease in pediatric inpatients during the pandemic with an increased severity level and complexity level, a reduction of 7.46% availability of supervisors, an increase of 0.4% in readmission < 30 days, an increase of 0.31% in-hospital mortality, an increase the total costs of care, and a decrease of insurance claim profit. CPG did not moderate the effect of the COVID-19 pandemic on the clinical outcomes (β = -0.006, P = 0.083) but moderated the financial outcomes (β = -0.022, P = 0.000), by reducing the total cost of care and increasing insurance claim profit. Supervision moderated the effect of the COVID-19 pandemic on the clinical outcomes (β = 0.040, P = 0.000) by increasing aLOS and on the financial outcomes (β = -0.031, P = 0.000) by reducing the total cost of care and increasing insurance claim profit. This study model had a 24.0% variance of explanatory power for clinical outcomes and 49.0% for financial outcomes. This study's structural model effectively predicted clinical outcomes (Q 2 = 0.238) and financial outcomes (Q 2 = 0.413).

Conclusion

Direct supervision inhibited the negative impact of the COVID-19 pandemic on both clinical and financial outcomes of non-COVID-19 inpatient care by pediatric residents, while CPG only inhibited the negative impact on financial outcomes. Implication of This Study. In a disaster, the availability of CPG and direct supervision makes AMC hospitals able to inhibit the negative impact of disasters on clinical and financial outcomes.

Equity of health financing in Indonesia: A 5-year financing incidence analysis (2015-2019)

BACKGROUND

In 2014, Indonesia launched a single payer national health insurance scheme with the aim of covering the entire population by 2024. The objective of this paper is to assess the equity with which contributions to the health financing system were distributed in Indonesia over 2015 - 2019.

METHODS

This study is a secondary analysis of nationally representative data from the National Socioeconomic Survey of Indonesia (2015 - 2019). The relative progressivity of each health financing source and overall health financing was determined using a summary score, the Kakwani index.

FINDINGS

Around a third of health financing was sourced from out-of-pocket (OOP) payments each year, with direct taxes, indirect taxes and social health insurance (SHI) each taking up 15 - 20%. Direct taxes and OOP payments were progressive sources of health financing, and indirect tax payments regressive, for all of 2015 - 2019. SHI contributions were regressive except in 2017 and 2018. The overall health financing system was progressive from 2015 to 2018, but this declined year by year and became mildly regressive in 2019.

INTERPRETATION

The declining progressivity of the overall health financing system between 2015 - 2019 suggests that Indonesia still has a way to go in developing a fair and equitable health financing system that ensures the poor are financially protected.

FUNDING

This study is supported through the Health Systems Research Initiative in the UK, and is jointly funded by the Department of International Development, the Economic and Social Research Council, the Medical Research Council and the Wellcome Trust.

Impact of non-communicable disease multimorbidity on health service use, catastrophic health expenditure and productivity loss in Indonesia: a population-based panel data analysis study

OBJECTIVES

To examine non-communicable diseases (NCDs) multimorbidity level and its relation to households' socioeconomic characteristics, health service use, catastrophic health expenditures and productivity loss.

DESIGN

This study used panel data of the Indonesian Family Life Survey conducted in 2007 (Wave 4) and 2014 (Wave 5).

SETTING

The original sampling frame was based on 13 out of 27 provinces in 1993, representing 83% of the Indonesian population.

PARTICIPANTS

We included respondents aged 50 years and above in 2007, excluding those who did not participate in both Waves 4 and 5. The total number of participants in this study are 3678 respondents.

PRIMARY OUTCOME MEASURES

We examined three main outcomes; health service use (outpatient and inpatient care), financial burden (catastrophic health expenditure) and productivity loss (labour participation, days primary activity missed, days confined in bed). We applied multilevel mixed-effects regression models to assess the associations between NCD multimorbidity and outcome variables, RESULTS: Women were more likely to have NCD multimorbidity than men and the prevalence of NCD multimorbidity increased with higher socioeconomic status. NCD multimorbidity was associated with a higher number of outpatient visits (compared with those without NCD, incidence rate ratio (IRR) 4.25, 95% CI 3.33 to 5.42 for individuals with >3 NCDs) and inpatient visits (IRR 3.68, 95% CI 2.21 to 6.12 for individuals with >3 NCDs). NCD multimorbidity was also associated with a greater likelihood of experiencing catastrophic health expenditure (for >3 NCDs, adjusted OR (aOR) 1.69, 95% CI 1.02 to 2.81) and lower participation in the labour force (aOR 0.23, 95% CI 0.16 to 0.33) compared with no NCD.

CONCLUSIONS

NCD multimorbidity is associated with substantial direct and indirect costs to individuals, households and the wider society. Our study highlights the importance of preparing health systems for addressing the burden of multimorbidity in low-income and middle-income countries.

Assessment of costs related to cancer treatment

INTRODUCTION

Cancer patients and their caregivers incur costs not covered by the Sistema Único de Saúde - SUS(Unified Health System) during their treatment, with expenses related to transportation, symptomatic medications, food, loss of working days, and others.

OBJECTIVE

To evaluate the costs incurred and not covered for cancer patients and their caregivers during cancer treatment at SUS.

METHODS

This is a cross-sectional study of 110 cancer patients undergoing chemotherapy, radiotherapy, and 88 caregivers in the last month prior to their inclusion in the study. We correlated costs with clinical and sociodemographic variables such as gender, race, age, marital status, education, occupation, place of birth, origin, monthly income, family income, housing, comorbidities, types of cancer, and staging.

RESULTS

We observed that the average cost for study patients was R$ 747.92, which corresponds to 78.4% of the minimum wage, and the average cost for caregivers was R$ 118.86, which is 12.46% of the minimum wage. Among all variables analyzed, the average overall monthly cost for patients was positively correlated with the occupation (p = 0.021) and origin (p = 0.038) variables. For the other variables, no significant associations were detected.

CONCLUSION

The positive correlation found between occupation and origin variables with costs incurred and not covered for patients suggests that the creation of programs that enable the payment of costs not covered by SUS and the decentralization of access to cancer treatment could potentially facilitate patients' adherence to cancer treatment.