Damage to the public health system caused by war-related looting or vandalism in the Tigray region of Northern Ethiopia.

Background: The war that started on November 4, 2020, in the Tigray region of Northern Ethiopia severely affected the health sector. However, there is no available evidence to suggest the economic damage caused to the public health system because of war-related looting or vandalism. This study was aimed at estimating the cost of war-related looting or vandalism in Tigray's public health system in Northern Ethiopia in 2021. Methods: A provider perspective, a mixed costing method, a retrospective cross-sectional approach, a 50% inflation rate, and a 50 Ethiopian birr equivalent to one United States dollar ($) for the money value were used. The data were analyzed using Microsoft Excel, taking into consideration the Sendai framework indicators. Results: The total economic cost of the war-related looting or vandalism in monetary terms was more than $3.78 billion, and the damage to the economic value in monetary terms was more than $2.31 billion. Meanwhile, the direct economic loss to the health system in monetary terms was more than $511 million. According to this assessment, 514 (80.6%) health posts, 153 (73.6%) health centers, 16 (80%) primary hospitals, 10 (83.3%) general hospitals, and 2 (100%) specialized hospitals were damaged and/or vandalized either fully or partially due to the war. Conclusion: This war seriously affected the public health sector in the Tigray region. The Federal Government of Ethiopia, the Ministry of Health of Ethiopia, the Tigrayan Government, the Tigray Regional Health Bureau, and the international community must make efforts to find resources for the revitalization of the damaged, plundered, and vandalized healthcare system.

A combination of laparoscopy and bilateral uterine artery occlusion for the treatment of type II cesarean scar pregnancy: a retrospective analysis.

OBJECTIVE: We investigated the efficacy of a combination of laparoscopy and bilateral uterine artery occlusion (BUAO) for the treatment of type II cesarean scar pregnancy (CSP). METHODS: Patients with type II CSP underwent laparoscopy + bilateral uterine artery embolization (control group) or laparoscopy + BUAO (study group). Data regarding the duration of surgery, intraoperative hemorrhage, postoperative complications, the duration of the hospital stay, and the costs of hospitalization were retrospectively collected. One year later, the time to the return of the ß-human chorionic gonadotropin (ß-hCG) concentration to normal and to the return of menstruation were compared. RESULTS: The duration of surgery, time to the return of menstruation, and incidence of postoperative complications in the study group were significantly less than in the control group, but there was no significant difference in the time for ß-hCG to return to normal or the volume of intraoperative hemorrhage. The duration of hospitalization and costs for the control group were higher than those for the study group. CONCLUSION: Laparoscopy in combination with BUAO is associated with minimal trauma, rapid recovery, a short duration of surgery, low cost of hospitalization, and a low postoperative complication rate. Thus, it represents a useful new surgical treatment for type II CSP.

Risk management and empirical study of the doctor-patient relationship: based on 1790 litigation cases of medical damage liability disputes in China.

BACKGROUND: Compensation for medical damage liability disputes (CMDLD) seriously hinders the healthy development of hospitals and undermines the harmony of the doctor-patient relationships (DPR). Risk management in the DPR has become an urgent issue of the day. The study aims to provide a comprehensive description of CMDLD in China and explore its influencing factors, and make corresponding recommendations for the management of risks in the DPR. METHODS: This study extracted data from the China Judgment Online - the official judicial search website with the most comprehensive coverage. Statistical analysis of 1,790 litigation cases of medical damage liability disputes (COMDLD) available from 2015 to 2021. RESULTS: COMDLD generally tended to increase with the year and was unevenly distributed by regions; the compensation rate was 52.46%, the median compensation was 134,900 yuan and the maximum was 2,234,666 yuan; the results of the single factor analysis showed that there were statistically significant differences between the compensation for different years, regions, treatment attributes, and trial procedures (P < 0.05); the correlation analysis showed that types of hospitals were significantly negatively associated with regions (R=-0.082, P < 0.05); trial procedures were significantly negatively correlated with years (R=-0.484, P < 0.001); compensat- ion was significantly positively correlated with years, regions, and treatment attributes (R = 0.098-0.294, P < 0.001) and negatively correlated with trial procedures (R=-0.090, P < 0.01); regression analysis showed that years, treatment attributes, and regions were the main factors affecting the CMDLD (P < 0.05). CONCLUSIONS: Years, regions, treatment attributes, and trial procedures affect the outcome of CMDLD. This paper further puts forward relevant suggestions and countermeasures for the governance of doctor-patient risks based on the empirical results. Including rational allocation of medical resources to narrow the differences between regions; promoting the expansion and sinking of high-quality resources to improve the level of medical services in hospitals at all levels; and developing a third-party negotiation mechanism for medical disputes to reduce the cost of medical litigation.

Cost saving analysis of prediabetes intervention modalities in comparison with inaction using Markov state transition model-A multiregional case study.

BACKGROUND: Prediabetes management is a priority for policymakers globally, to avoid/delay type 2 diabetes (T2D) and reduce severe, costly health consequences. Countries moving from low to middle income are most at risk from the T2D "epidemic" and may find implementing preventative measures challenging; yet prevention has largely been evaluated in developed countries. METHODS: Markov cohort simulations explored costs and benefits of various prediabetes management approaches, expressed as "savings" to the public health care system, for three countries with high prediabetes prevalence and contrasting economic status (Poland, Saudi Arabia, Vietnam). Two scenarios were compared up to 15 y: "inaction" (no prediabetes intervention) and "intervention" with metformin extended release (ER), intensive lifestyle change (ILC), ILC with metformin (ER), or ILC with metformin (ER) "titration." RESULTS: T2D was the highest-cost health state at all time horizons due to resource use, and inaction produced the highest T2D costs, ranging from 9% to 34% of total health care resource costs. All interventions reduced T2D versus inaction, the most effective being ILC + metformin (ER) "titration" (39% reduction at 5 y). Metformin (ER) was the only strategy that produced net saving across the time horizon; however, relative total health care system costs of other interventions vs inaction declined over time up to 15 y. Viet Nam was most sensitive to cost and parameter changes via a one-way sensitivity analysis. CONCLUSIONS: Metformin (ER) and lifestyle interventions for prediabetes offer promise for reducing T2D incidence. Metformin (ER) could reduce T2D patient numbers and health care costs, given concerns regarding adherence in the context of funding/reimbursement challenges for lifestyle interventions.

Value of Information for Clinical Trial Design: The Importance of Considering All Relevant Comparators.

Value of Information (VOI) analyses calculate the economic value that could be generated by obtaining further information to reduce uncertainty in a health economic decision model. VOI has been suggested as a tool for research prioritisation and trial design as it can highlight economically valuable avenues for future research. Recent methodological advances have made it increasingly feasible to use VOI in practice for research; however, there are critical differences between the VOI approach and the standard methods used to design research studies such as clinical trials. We aimed to highlight key differences between the research design approach based on VOI and standard clinical trial design methods, in particular the importance of considering the full decision context. We present two hypothetical examples to demonstrate that VOI methods are only accurate when (1) all feasible comparators are included in the decision model when designing research, and (2) all comparators are retained in the decision model once the data have been collected and a final treatment recommendation is made. Omitting comparators from either the design or analysis phase of research when using VOI methods can lead to incorrect trial designs and/or treatment recommendations. Overall, we conclude that incorrectly specifying the health economic model by ignoring potential comparators can lead to misleading VOI results and potentially waste scarce research resources.

Trade-offs in the externalities of pig production are not inevitable.

Farming externalities are believed to co-vary negatively, yet trade-offs have rarely been quantified systematically. Here we present data from UK and Brazilian pig production systems representative of most commercial systems across the world ranging from 'intensive' indoor systems through to extensive free range, Organic and woodland systems to explore co-variation among four major externality costs. We found that no specific farming type was consistently associated with good performance across all domains. Generally, systems with low land use have low greenhouse gas emissions but high antimicrobial use and poor animal welfare, and vice versa. Some individual systems performed well in all domains but were not exclusive to any particular type of farming system. Our findings suggest that trade-offs may be avoidable if mitigation focuses on lowering impacts within system types rather than simply changing types of farming.

Exploring kidney dialysis costs in the United States: a scoping review.

AIMS: The increasing prevalence of end-stage renal disease (ESRD) in the United States (US) represents a considerable economic burden due to the high cost of dialysis treatment. This review examines data from real-world studies to identify cost drivers and explore areas where dialysis costs could be reduced. METHODS: We identified and synthesized evidence published from 2016-2023 reporting direct dialysis costs in adult US patients from a comprehensive literature search of MEDLINE, Embase, and grey literature sources (e.g. US Renal Data System reports). RESULTS: Most identified data related to Medicare expenditures. Overall Medicare spending in 2020 was $29B for hemodialysis and $2.8B for peritoneal dialysis (PD). Dialysis costs accounted for almost 80% of total Medicare expenditures on ESRD beneficiaries. Private insurance payers consistently pay more for dialysis; for example, per person per month spending by private insurers on outpatient dialysis was estimated at $10,149 compared with Medicare spending of $3,364. Dialysis costs were higher in specific high-risk patient groups (e.g. type 2 diabetes, hepatitis C). Spending on hemodialysis was higher than on PD, but the gap in spending between PD and hemodialysis is closing. Vascular access costs accounted for a substantial proportion of dialysis costs. LIMITATIONS: Insufficient detail in the identified studies, especially related to outpatient costs, limits opportunities to identify key drivers. Differences between the studies in methods of measuring dialysis costs make generalization of these results difficult. CONCLUSIONS: These findings indicate that prevention of or delay in progression to ESRD could have considerable cost savings for Medicare and private payers, particularly in patients with high-risk conditions such as type 2 diabetes. More efficient use of resources is needed, including low-cost medication, to improve clinical outcomes and lower overall costs, especially in high-risk groups. Widening access to PD where it is safe and appropriate may help to reduce dialysis costs.

Previous papers have studied the cost of treating patients who need dialysis for kidney failure. We reviewed these costs and looked for patterns. Dialysis was the most expensive part of treatment for people with kidney disease who have Medicare. Dialysis with private insurance was much more expensive than with Medicare. People with diabetes experienced higher costs of dialysis than those without diabetes. Dialysis in a hospital costs more than dialysis at home. There are opportunities to reduce the cost of dialysis that should be explored further, such as more use of low-cost medication that can prevent the worsening of kidney disease and reduce the need for dialysis.

Childhood disabilities and the cost of developmental therapies: the serviceprovider perspective.

PURPOSE: For children with neurodevelopmental disabilities (CWNDs), early diagnosis that leads to early intervention with regular targeted therapies is critical. In Qatar, private therapy centres that address this demand often have highly exclusive prices restricting families from availing them. This paper examines the challenges faced by families with CWNDs, as well as various financial and systemic obstacles, from the vantage point of these centres, all of which culminate in an extraordinarily high disability price tag for disability families in Qatar. METHODS: This study is based on qualitative, semi-structured, and in-depth interviews with private therapy centres and developmental paediatricians. RESULTS: Therapy centre representatives expressed common struggles in lengthy and cumbersome administration and licencing procedures, difficulty in hiring and retaining high quality staff, and expenses that need to be paid to the state. From their experience, families largely struggle with delayed diagnoses that significantly slow down intervention plans and therapies as well as staggeringly high financial costs with a dearth of funding options. CONCLUSIONS: We recommend sincere engagement, dialogue, and cooperation between multiple stakeholders; a supportive ecosystem to balance and distribute the demand that includes schools and parents; as well more efficient administrative procedures and recruitment strategies.

Mapping philanthropic support of science.

While philanthropic support for science has increased in the past decade, there is limited quantitative knowledge about the patterns that characterize it and the mechanisms that drive its distribution. Here, we map philanthropic funding to universities and research institutions based on IRS tax forms from 685,397 non-profit organizations. We identify nearly one million grants supporting institutions involved in science and higher education, finding that in volume and scope, philanthropy is a significant source of funds, reaching an amount that rivals some of the key federal agencies like the NSF and NIH. Our analysis also reveals that philanthropic funders tend to focus locally, indicating that criteria beyond research excellence play an important role in funding decisions, and that funding relationships are stable, i.e. once a grant-giving relationship begins, it tends to continue in time. Finally, we show that the bipartite funder-recipient network displays a highly overrepresented motif indicating that funders who share one recipient also share other recipients and we show that this motif contains predictive power for future funding relationships. We discuss the policy implications of our findings on inequality in science, scientific progress, and the role of quantitative approaches to philanthropy.

Is economic growth enough to propel rehabilitation expenditures? An empirical analysis of country panel data and policy implications.

PURPOSE: Rehabilitation is a set of services designed to increase functioning and improve wellbeing across the life course. Despite being a core part of Universal Health Coverage, rehabilitation services often receive limited public expenditure, especially in lower income countries. This leads to limited service availability and high out of pocket payments for populations in need of care. The purpose of this research was to assess the association between macroeconomic conditions and rehabilitation expenditures across low-, middle-, and high-income countries and to understand its implications for overall rehabilitation expenditure trajectory across countries. MATERIALS AND METHODS: We utilized a panel data set from the World Health Organization's Global Health Expenditure Database comprising the total rehabilitation expenditure for 88 countries from 2016 to 2018. Basic macroeconomic and population data served as control variables. Multiple regression models were implemented to measure the relationship between macroeconomic conditions and rehabilitation expenditures. We used four different model specifications to check the robustness of our estimates: pooled data models (or naïve model) without control, pooled data models with controls (or expanded naïve model), fixed effect models with all controls, and lag models with all controls. Log-log specifications using fixed effects and lag-dependent variable models were deemed the most appropriate and controlled for time-invariant differences. RESULTS: Our regression models indicate that, with a 1% increase in economic growth, rehabilitation expenditure would be associated with a 0.9% and 1.3% increase in expenditure. Given low baseline levels of existing rehabilitation expenditure, we anticipate that predicted increases in rehabilitation expenditure due to economic growth may be insufficient to meet the growing demand for rehabilitation services. Existing expenditures may also be vulnerable during periods of economic recession. CONCLUSION: This is the first known estimation of the association between rehabilitation expenditure and macroeconomic conditions. Our findings demonstrate that rehabilitation is sensitive to macroeconomic fluctuations and the path dependency of past expenditures. This would suggest the importance of increased financial prioritization of rehabilitation services and improved institutional strengthening to expand access to rehabilitation services for populations.

Food diversity: its relation to children's health and consequent economic burden.

BACKGROUND: This study investigates the impact of low food diversity on the health status of children using the Dietary Diversity Score (DDS) and Dietary Serving Score (DSS) in a sub-district with the highest percentage of poor households. The economic burden of low food diversity was observed by analysing the cost of illness in the children with low food diversity. METHODS: Data from 329 children were collected. We determined the impact of DDS and DSS and other factors on the health status of children aged 2-14 years, using a probit model. The cost of illness (e.g., typhus, stomach ulcers, coughs, flu, and fever) due to low food diversity was calculated from medical registration fees, medical action costs, transportation costs, and other costs. RESULTS: The results shows that a 1% point increase in DDS or DSS potentially decreases children's health complaints by 10% and 8%, respectively. Given the current 26% prevalence of health complaints among children with low DDS, the annual economic burden reaches US$75.72 per child per household. In addition, the current 41% prevalence of children with low DDS resulted in an annual cost to the government of US$153.45 per child. CONCLUSIONS: The effect of inadequate dietary diversity on children's health is potentially high and contributes to the economic burden on households and the government.

Health care expenses impact on the disability-adjusted life years in non-communicable diseases in the European Union.

Background: Non-communicable diseases are a global health problem. The metric Disability-Adjusted Life Years was developed to measure its impact on health systems. This metric makes it possible to understand a disease's burden, towards defining healthcare policies. This research analysed the effect of healthcare expenditures in the evolution of disability-adjusted life years for non-communicable diseases in the European Union between 2000 and 2019. Methods: Data were collected for all 27 European Union countries from Global Burden of Disease 2019, Global Health Expenditure, and EUROSTAT databases. Econometric panel data models were used to assess the impact of healthcare expenses on the disability-adjusted life years. Only models with a coefficient of determination equal to or higher than 10% were analysed. Results: There was a decrease in the non-communicable diseases with the highest disability-adjusted life years: cardiovascular diseases (-2,952 years/105 inhabitants) and neoplasms (-618 years/105 inhabitants). Health expenditure significantly decreased disability-adjusted life years for all analysed diseases (p < 0.01) unless for musculoskeletal disorders. Private health expenditure did not show a significant effect on neurological and musculoskeletal disorders (p > 0.05) whereas public health expenditure did not significantly influence skin and subcutaneous diseases (p > 0.05). Conclusion: Health expenditure have proved to be effective in the reduction of several diseases. However, some categories such as musculoskeletal and mental disorders must be a priority for health policies in the future since, despite their low mortality, they can present high morbidity and disability.

Natural capital approaches for the optimal design of policies for nature recovery.

By embedding a spatially explicit ecosystem services modelling tool within a policy simulator we examine the insights that natural capital analysis can bring to the design of policies for nature recovery. Our study is illustrated through a case example of policies incentivising the establishment of new natural habitat in England. We find that a policy mirroring the current practice of offering payments per hectare of habitat creation fails to break even, delivering less value in improved flows of ecosystem services than public money spent and only 26% of that which is theoretically achievable. Using optimization methods, we discover that progressively more efficient outcomes are delivered by policies that optimally price activities (34%), quantities of environmental change (55%) and ecosystem service value flows (81%). Further, we show that additionally attaining targets for unmonetized ecosystem services (in our case, biodiversity) demands trade-offs in delivery of monetized services. For some policy instruments it is not even possible to achieve the targets. Finally, we establish that extending policy instruments to offer payments for unmonetized services delivers target-achieving and value-maximizing policy designs. Our findings reveal that policy design is of first-order importance in determining the efficiency and efficacy of programmes pursuing nature recovery. This article is part of the theme issue 'Bringing nature into decision-making'.

Impact of the COVID-19 pandemic on utilization and cost for care of pediatric and young adult ALL.

OBJECTIVE: Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy and among the most common malignancies in young adults and requires a unique pattern of healthcare utilization including an acute/emergent presentation and an intensive initial 8 months of therapy followed by two years of outpatient treatment. The COVID-19 pandemic caused massive global disruptions in healthcare use and delivery. This report aims to examine the effects of the COVID-19 pandemic on the presentation, diagnosis and continued management of childhood and young adult ALL in regard to utilization and cost of care among commercially insured individuals in the United States. RESULTS: Utilizing a commercial insurance claims database, 529 pediatric and young adult patients were identified who were diagnosed with ALL between January 2016 and March 2021. New diagnoses were evaluated by era and demographics. Utilization was measured by COVID-related era as number of inpatient and outpatient encounters, inpatient days, and cumulative cost during the initial 8 months of therapy. None of these cost or utilization factors changed significantly during or shortly after the pandemic. These findings reinforce that the necessary care for pediatric and young adult ALL was unwavering despite the massive shifts in the healthcare system caused by the COVID-19 pandemic. This provides a valuable benchmark as we further examine the factors that influence the pandemic's impact on health equity and access to care, especially in vulnerable pediatric and young adult populations. This is the first investigation of the effect of the COVID-19 pandemic on utilization and cost of care in pediatric and young adult cancer.

Public Opinions on Removing Disincentives and Introducing Incentives for Organ Donation: Proposing a European Research Agenda.

The shortage of organs for transplantations is increasing in Europe as well as globally. Many initiatives to the organ shortage, such as opt-out systems for deceased donation and expanding living donation, have been insufficient to meet the rising demand for organs. In recurrent discussions on how to reduce organ shortage, financial incentives and removal of disincentives, have been proposed to stimulate living organ donation and increase the pool of available donor organs. It is important to understand not only the ethical acceptability of (dis)incentives for organ donation, but also its societal acceptance. In this review, we propose a research agenda to help guide future empirical studies on public preferences in Europe towards the removal of disincentives and introduction of incentives for organ donation. We first present a systematic literature review on public opinions concerning (financial) (dis)incentives for organ donation in European countries. Next, we describe the results of a randomized survey experiment conducted in the United States. This experiment is crucial because it suggests that societal support for incentivizing organ donation depends on the specific features and institutional design of the proposed incentive scheme. We conclude by proposing this experiment's framework as a blueprint for European research on this topic.

How an increase in income affects the use of dental care services among a low-income population: evidence from the Finnish basic income experiment.

BACKGROUND: Previous research has shown that the use of dental care services has a significant socioeconomic gradient. Lower income groups tend to use dental care services less, and they often have poorer dental health than higher income groups. The purpose of this study is to evaluate how an increase in income affects the use of dental care services among a low-income population. METHODS: The study examines the causal effect of increasing cash transfers on the use of dental care services by utilizing unique register-based data from a randomized field experiment conducted in Finland in 2017-2018. The Finnish basic income experiment introduced an exogenous increase in the income of persons who previously received basic unemployment benefits. Register-based data on the study population's use of public and private dental care services were collected both for the treatment group (N = 2,000) and the control group (N = 173,222) of the experiment over a five-year period 2015-2019: two years before, two years during, and one year after the experiment. The experiment's average treatment effect on the use of dental care services was estimated with OLS regressions. RESULTS: The Finnish basic income experiment had no detectable effect on the overall use of dental care services. However, it decreased the probability of visiting public dental care (-2.7% points, -4.7%, p =.017) and increased the average amount of out-of-pocket spending on private care (12.1 euros, 29.8%, p =.032). The results suggest that, even in a country with a universal public dental care coverage, changes in cash transfers do affect the dental care patterns of low-income populations.

Comparison of the market share of public and private hospitals under different Medical Alliances: an interrupted time-series analysis in rural China.

BACKGROUND: China initiated the Medical Alliances (MAs) reform to enhance resource allocation efficiency and ensure equitable healthcare. In response to challenges posed by the predominance of public hospitals, the reform explores public-private partnerships within the MAs. Notably, private hospitals can now participate as either leading or member institutions. This study aims to evaluate the dynamic shifts in market share between public and private hospitals across diverse MAs models. METHODS: Data spanning April 2017 to March 2019 for Dangyang County's MA and January 2018 to December 2019 for Qianjiang County's MA were analyzed. Interrupted periods occurred in April 2018 and January 2019. Using independent sample t-tests, chi-square tests, and interrupted time series analysis (ITSA), we compared the proportion of hospital revenue, the proportion of visits for treatment, and the average hospitalization days of discharged patients between leading public hospitals and leading private hospitals, as well as between member public hospitals and member private hospitals before and after the reform. RESULTS: After the MAs reform, the revenue proportion decreased for leading public and private hospitals, while member hospitals saw an increase. However, ITSA revealed a notable rise trend in revenue proportion for leading private hospitals (p < 0.001), with a slope of 0.279% per month. Member public and private hospitals experienced decreasing revenue proportions, with outpatient visits proportions declining in member public hospitals by 0.089% per month (p < 0.05) and inpatient admissions proportions dropping in member private hospitals by 0.752% per month (p < 0.001). The average length of stay in member private hospitals increased by 0.321 days per month after the reform (p < 0.01). CONCLUSIONS: This study underscores the imperative to reinforce oversight and constraints on leading hospitals, especially private leading hospitals, to curb the trend of diverting patients from member hospitals. At the same time, for private hospitals that are at a disadvantage in competition and may lead to unreasonable prolongation of hospital stay, this kind of behavior can be avoided by strengthening supervision or granting leadership.

Hidden cost of hospital-based delivery and associated factors among postpartum women attending public hospitals in Gamo zone, southern Ethiopia.

BACKGROUND: Since 2005, the healthcare system in Ethiopia has implemented policies to promote the provision of free maternal healthcare services. The primary goal of these policies is to enhance the accessibility of maternity care for women from various socioeconomic backgrounds. Additionally, the aim is to increase the utilization of maternity services, such as institutional deliveries, by removing financial obstacles that pregnant women may face. Even though maternity services are free of charge. The hidden cost has unquestionably been a key obstacle in seeking and utilizing health care services. Significant payments due to delivery services could create a heavy economic burden on households. OBJECTIVES: To determine the hidden cost of hospital-based delivery and associated factors among postpartum women attending public hospitals in Gamo zone, southern Ethiopia 2023. METHODS: A facility-based cross-sectional study was conducted on 411 postpartum women in Gamo Zone Public Health Hospitals from December 1, 2022, to January 30, 2023. The systematic sampling technique was applied to reach study units. Data was collected using the Kobo Toolbox Data Collection Tool and exported to SPSS statistical software version 27 for analysis. Simple linear regression and multiple linear regression were done to see the association of variables. The significance level was declared at a P-value < 0.05 in the final model. RESULT: The median hidden cost of hospital-based delivery was 1142 Ethiopian birr (ETB), with a range (Q) of 2262 (504-2766) ETB. Monthly income of the family (ß = 0.019), obstetrics complications (ß = 0.033), distance from the health facility (ß = 0.003), and mode of delivery (ß = 0.072), were positively associated with the hidden cost of hospital-based delivery. While, rural residence (ß = -0.041) was negatively associated with the outcome variable. CONCLUSION: This study showed the hidden cost of hospital based delivery was relatively high. Residence, monthly income of the family, obstetric complications, mode of delivery, and distance from the health facility were statistically significant. It is important to take these factors into account when designing health intervention programs and hospitals should prioritize the availability of essential drugs and medical supplies within their facilities to address direct medical costs in hospitals.