Exploring the effects of acceptable palliative care models on survival time and healthcare expenditure among patients with cancer: a national longitudinal population-based study.

OBJECTIVE: Hospice care ensures better end-of-life quality by relieving terminal symptoms. Prior research has indicated that hospice care could prolong survival and reduce end-of-life medical expenditures among patients with cancer. However, the dearth of studies on the effects of hospice care type and use sequence on survival time and end-of-life medical expenditures substantiates the need for investigation. DATA SOURCES AND STUDY SETTING: Two million random records were obtained from the National Health Insurance Research Database. STUDY DESIGN: We estimated the effects of the type and sequence of hospice care use on survival time and medical expenditures among advanced cancer patients. This was a cross-sectional study. DATA COLLECTION/EXTRACTION METHODS: Patient data were collected from 2 million random records provided by the National Health Insurance Research Database of Taiwan. We included people with cancer and excluded patients under 20 years of age; 2860 patients remained after matching. PRINCIPAL FINDINGS: The results indicated that the average survival time of patients who received inpatient palliative care (1022 days) was significantly shorter than that of patients who did not receive palliative care (P < 0.001), but the health care expenditure during the entire course of cancer therapy was not the lowest. Interestingly, patients who received inpatient palliative care had the lowest health care expenditure at 1 year or month before the end of life (P < 0.001). CONCLUSION: The type and sequence of palliative care affected the survival time and health care expenditures of cancer patients. Receiving palliative care did not prolong survival but rather reduced health care expenditures. The sequence of receiving palliative care significantly affected health care expenditures.

Exploring the driving forces and scenario analysis for catastrophic and impoverishing health expenditures in Iran.

BACKGROUND: The extent of healthcare expenditure within households stands as a crucial indicator in low and middle-income countries (LMICs). When out-of-pocket healthcare expenses surpass household income or become unduly burdensome, it serves as a significant socio-economic alarm, resulting in a reduced quality of life, a phenomenon referred to as 'catastrophic health expenditure (CHE).' Multiple factors can contribute to the occurrence of CHE. The study's objective was to identify the key uncertainties and driving forces influencing CHE to develop scenarios in Iran on the horizon of 2030. METHODS: This study was conducted between December 2021 and January 2023, data were collected through a literature review, and experts' opinions were gathered via questionnaires, interviews, and expert panels. The statistical population included experts in the fields of health policy, health economics, and futures studies. Scenario Wizard software and MICMAC analysis were employed for data analysis, providing valuable insights into potential future scenarios of health expenditures in Iran. RESULTS: Based on the results of the scoping review and semi-structured interview, 65 key factors in the fields of economics, politics, technology, social, and environmental were identified. The findings of the MICMAC analysis presented 10 key variables. Finally, six main scenario spaces are depicted using Scenario Wizard. These scenarios included catastrophic cost crises, sanction relief, selective information access, technological ambiguity, induced demand management, and incremental reforms. CONCLUSIONS: Each of the six drawn scenarios provides images of the future of health expenditure in Iranian households on the horizon of 2030. The worst-case scenario from all scenarios was scenario one, with the most probable and critical features to derive Iran's health expenditures. The current study is a valuable addition to the literature depicting the key drivers that all developing nations can consider to decrease exposing households to catastrophic and impoverishing health expenditures.

Health care expenditure and income in Canada: Evidence from panel data.

This paper investigates the long-run relationship between health care expenditures (HCE) and income using Canadian provincial data spanning a period of 40 years from 1981 to 2020. We study the non-stationary and cointegration properties of HCE and income and estimate the long-run income elasticities of HCE. Using heterogeneous panel models that incorporate cross-section dependence via unobserved common correlated factors to capture global shocks, we estimate long-run income elasticities that lie in the 0.11-0.16 range. Our results indicate that health care is a necessity good for Canada. These elasticity estimates are much smaller than those estimated in other studies for Canada. We find that HCE and income in Canada are cointegrated and that short-run changes in federal transfers significantly and positively affect HCE.

Catastrophic Health Care Expenditure Following Brachial Plexus Injury.

PURPOSE: Brachial plexus injuries (BPIs) are devastating to patients not only functionally but also financially. Like patients experiencing other traumatic injuries and unexpected medical events, patients with BPIs are at risk of catastrophic health expenditure (CHE) in which out-of-pocket health spending exceeds 40% of postsubsistence income (income remaining after food and housing expenses). The individual financial strain after BPIs has not been previously quantified. The purpose of this study was to assess the proportion of patients with BPIs who experience risk of CHE after reconstructive surgery. METHODS: Administrative databases were used from 8 states to identify patients who underwent surgery for BPIs. Demographics including age, sex, race, and insurance payer type were obtained. Inpatient billing records were used to determine the total surgical and inpatient facility costs within 90 days after the initial surgery. Due to data constraints, further analysis was only conducted for privately-insured patients. The proportion of patients with BPIs at risk of CHE was recorded. Predictors of CHE risk were determined from a multivariable regression analysis. RESULTS: Among 681 privately-insured patients undergoing surgery for BPIs, nearly one-third (216 [32%]) were at risk of CHE. Black race and patients aged between 25 and 39 years were significant risk factors associated with CHE. Sex and the number of comorbidities were not associated with risk of CHE. CONCLUSIONS: Nearly one-third of privately-insured patients met the threshold for being at risk of CHE after BPI surgery. CLINICAL RELEVANCE: Identifying those patients at risk of CHE can inform strategies to minimize long-term financial distress after BPIs, including detailed counseling regarding anticipated health care expenditures and efforts to optimize access to appropriate insurance policies for patients with BPIs.

How does sickle cell disease affect the peri-operative outcome in patients undergoing total knee arthroplasty? A large-scale, National Inpatient Sample-based study.

INTRODUCTION: In view of the vaso-occlusive pathophysiology affecting osseous micro-circulation, sickle cell disease (SCD) is well known to present with diverse skeletal and arthritic manifestations. With prolonged life-expectancy over the past decades, there has been a progressive increase in the proportion of SCD patients requiring joint reconstructions. Owing to the paucity of evidence in the literature, the post-operative complication rates and outcome in these patients following total knee arthroplasty (TKA) are still largely unknown. METHODS: Based on the National Inpatient Sample (NIS) database (using ICD-10 CMP code), patients who underwent TKA between 2016 and 2019 were identified. The cohort were classified into two groups: A-those with SCD; and B-those without. The data on patients' demographics, co-morbidities, details regarding hospital stay including expenditure incurred, and complications were analyzed and compared. RESULTS: Overall, 558,361 patients underwent unilateral, primary TKA; among whom, 493 (0.1%) were known cases of SCD (group A). Group A included a significantly greater proportion of younger (60.14 ± 10.87 vs 66.72 ± 9.50 years; p < 0.001), male (77.3 vs 61.5%; p < 0.001); and African-American (88.2 vs 8.3%B; p < 0.001) patients, in comparison with group B. Group A patients were also at a significantly higher risk for longer duration of peri-operative hospital stay (p < 0.001), greater health-care costs incurred (p < 0.001), and greater need for alternative step-down health-care facilities (p < 0.001) following discharge. Among the SCD patients, 24.7%, 20.9% and 24.9% developed acute chest syndrome, pain crisis and splenic sequestration crisis, respectively during the peri-operative period. Group A patients had a statistically greater incidence of acute renal failure (ARF; p = 0.014), need for blood transfusion (p < 0.001) and deep vein thrombosis (DVT; p = 0.03) during the early admission period. CONCLUSION: The presence of SCD substantially lengthens the duration of hospital stay and enhances health care-associated expenditure in patients undergoing TKA. SCD patients are at significantly higher risk for systemic complications including acute chest syndrome, pain crisis, splenic sequestration crisis, acute renal failure, higher need for blood transfusions and deep venous thrombosis during the initial peri-operative period following TKA.

Does systemic lupus erythematosus impact the peri-operative complication rates following primary total knee arthroplasty? A national inpatient sample-based large-scale study.

INTRODUCTION: Consequent to improved life expectancies, there has been a substantial increase in the proportion of patients with systemic lupus erythematosus (SLE) undergoing total knee arthroplasty (TKA) over the past 2 decades. In comparison to the other inflammatory disorders, the complication rates and post-operative outcome in patients with SLE are less clearly understood, owing to the paucity of evidence in the literature. METHODS: Patients who underwent TKA between 2016 and 2019 were identified (ICD-10CMP code) using the National Inpatient Sample (NIS) database and then classified into one of the two groups, namely those with SLE (ICD-10-CM; code710.0) and those without SLE (NSLE). Demographic details, co-morbidities, details regarding hospital stay, costs incurred, and complications encountered of this patient cohort were analysed and compared between the two groups. RESULTS: Overall, among 5,58,361 patients undergoing TKA, 2,094 (0.38%) patients had SLE. The SLE group was significantly younger than NSLE population (62.2 ± 9.9 vs 66.7 ± 9.5 years; p < 0.001). The proportion of female and African-American patients was higher in the SLE group (p < 0.001). SLE patients had a significantly longer hospital stay (p < 0.001) and greater hospital-related expenditure (p < 0.001). Among the peri-operative complications, SLE patients had significantly greater risk of developing post-operative anemia (19.2% in SLE vs 15.3% in NSLE; p < 0.001), requiring blood transfusion (2.8% in SLE vs 1.5% in NSLE; p < 0.001), and acquiring peri-prosthetic joint infections (1.9% in SLE vs 1% in NSLE; p < 0.001). CONCLUSION: The presence of SLE significantly lengthens hospital stay, and augments the health-care-related costs in patients undergoing TKA. The rates of peri-prosthetic infections, post-operative anemia, and need for blood transfusions are significantly greater in SLE patients.

Age, morbidity, or something else? A residual approach using microdata to measure the impact of technological progress on health care expenditure.

This study measures the increment of health care expenditure (HCE) that can be attributed to technological progress and change in medical practice by using a residual approach and microdata. We examine repeated cross-sections of individuals experiencing an initial health shock at different point in time over a 10-year window and capture the impact of unobservable technology and medical practice to which they are exposed after allowing for differences in health and socioeconomic characteristics. We decompose the residual increment in the part that is due to the effect of delaying time to death, that is, individuals surviving longer after a health shock and thus contributing longer to the demand of care, and the part that is due to increasing intensity of resource use, that is, the basket of services becoming more expensive to allow for the cost of innovation. We use data from the Danish National Health System that offers universal coverage and is free of charge at the point of access. We find that technological progress and change in medical practice can explain about 60% of the increment of HCE, in line with macroeconomic studies that traditionally investigate this subject.

Decomposed Trends of Iranian Private Health Expenditures: Should Inequality be Appreciated?

Background: Inequalities in health and health care have drawn considerable attention in social determinants of health literature. This study aims to calculate the inequality of out-of-pocket health payments (OPHP) for Iranian households during the period 1984 to 2019 and provide decomposed inequality for households with different socioeconomic status. Methods: This longitudinal study utilized the Iranian Statistics Centre data on Iranian household income and expenditures survey. The analysis includes a total of 995,300 households during a 36-year period from 1984 to 2019. The Theil index and the mean logarithmic deviation were used to decompose inequality into within-group and between-group for OPHP among Iranian households. Results: The findings indicate that the mean of the Theil index for the households covered by insurance is 1.44 (SD ± 0.34), while the index was 1.35 (SD ± 0.31) for households without insurance coverage. The mean of the Theil index for rural and urban households was 1.29 (SD ± 0.29) and 1.43 (SD ± 0.33), respectively. Regardless of the fluctuations, the trends of between- group and within group inequalities in OPHP were almost similar until 2011, but they followed a different path since then. Conclusion: Households living in cities, households with insurance coverage, and households in high income levels have experienced more inequality in OPHP than other households. This study provides a novel interpretation of inequality in health care expenditures and provides a long-term time series data to assess the effectiveness of implemented policies in health care system.

Trends in the use and costs of intermittent urinary catheters in the Netherlands from 1997 to 2018: A population-based observational study.

AIM: To obtain insight into the the use and costs of clean intermittent catheterization (CIC) in the Netherlands from 1997 to 2018. METHODS: For this population-based study, data on the use and costs of disposable catheters were provided by the Drug Information Project database. This database contains information about the Dutch insured population, which increased from 9.9 to 17.1 million persons between 1997 and 2018 (64%-100% of the Dutch population). The following trends were evaluated: (1) CIC users, (2) distribution of users by gender and age-group, (3) distribution of users by neurogenic and non-neurogenic cause for CIC, (4) total costs, and (5) costs per user. Total users are adjusted for the Dutch population. Costs are corrected for inflation and expressed in euros. RESULTS: Extramural use of CIC increased from 14,258 users in 1997 to 45,909 users in 2018. CIC users per 100,000 persons nearly tripled from 92 users to 267 users. Male CIC users almost quadrupled from 92 to 334 per 100,000 insured persons, whereas female users more than doubled from 91 to 201 per 100,000 insured persons. In 2018, 49% of the users had a non-neurogenic cause for CIC. Total costs increased from 16.4 million euros in 1997 to 74.6 million euros in 2018. Costs per user rose from 1151 to 1624 euros (41.1%). CONCLUSIONS: The use and costs of disposable catheters in the Netherlands increased substantially over the past two decades. Non-neurogenic bladder patients represent 49% of the population on CIC, which has not been described before in the literature.

Effect of air pollution on health care expenditure: Evidence from respiratory diseases.

Recent reports show that at least 95% of the world's population is breathing polluted air. However, the impact of air quality on air pollution-related medical expenditure and utilization is sparse. This study estimates the short-term health care cost impacts of air pollution using a meteorological phenomenon-thermal inversion-as an instrumental variable for air quality. Using information on outpatient care for respiratory diseases from universal health insurance claim data in Taiwan during 2006-2012, our estimates suggest that a one-unit reduction in the air quality index (AQI) leads to NT$2.3 billion (nearly US$74 million) of savings in respiratory-related outpatient expenditure per year. Given that the average AQI is equal to 32 during our study period, completely removing air pollution would reduce the national health expenditure by approximately 8% annually. Our results provide the important implication that the cost of controlling air pollutant emissions can be offset by curtailing health care expenditure.

Nationally Representative Health Care Expenditures of Community-Based Older Adults with Pain in the United States Prescribed Opioids vs Those Not Prescribed Opioids.

OBJECTIVE: To compare health care expenditures between older US adults (≥50 years) with pain who were prescribed opioid medications and those who were not. DESIGN: Cross-sectional. SETTING: Community-based adults in the 2015 Medical Expenditure Panel Survey (MEPS). SUBJECTS: Nationally representative sample of US adults alive for the calendar year, aged 50 years or older, who reported having pain in the past four weeks. METHODS: Older US adults (≥50 years) with pain in the 2015 MEPS data were identified. The key independent variable was opioid prescription status (prescribed opioid vs not prescribed opioid). Hierarchical linear regression models assessed health care expenditures (inpatient, outpatient, office-based, emergency room, prescription medications, other, and total) in US dollars for opioid prescription status from a community-dwelling US population perspective, adjusting for covariates. RESULTS: The 2015 study cohort provided a national estimate of 50,898,592 noninstitutionalized US adults aged ≥50 years with pain in the past four weeks (prescribed opioid N = 16,757,516 [32.9%], not prescribed opioid N = 34,141,076 [67.1%]). After adjusting for covariates, individuals prescribed an opioid had 61% greater outpatient (ß = 0.477, P < 0.0001), 69% greater office-based (ß = 0.524, P < 0.0001), 14% greater emergency room (ß = 0.131, P = 0.0045), 63% greater prescription medication (ß = 0.486, P < 0.0001), 29% greater other (ß = 0.251, P = 0.0002), and 105% greater total (ß = 0.718, P < 0.0001) health care expenditures. There was no difference in opioid prescription status for inpatient expenditures (P > 0.05). CONCLUSIONS: This study raises awareness of the economic impact associated with opioid use among US older adults with pain. Future research should investigate these variables in greater depth, over longer time periods, and in additional populations.

Safe Linkage of Cohort and Population-Based Register Data in a Genomewide Association Study on Health Care Expenditure.

There are research questions whose answers require record linkage of multiple databases that may be characterized by limited options for full data sharing. For this purpose, the Open Data Infrastructure for Social Science and Economic Innovations (ODISSEI) consortium has supported the development of the ODISSEI Secure Supercomputer (OSSC) platform that allows researchers to link cohort data to data from Statistics Netherlands and run large-scale analyses in a high-performance computing (HPC) environment. Here, we report a successful record linkage genomewide association (GWA) study on expenditure for total health, mental health, primary and hospital care, and medication. Record linkage for genotype data from 16,726 participants from the Netherlands Twin Register (NTR) with data from Statistics Netherlands was accomplished in the secure OSSC platform, followed by gene-based tests and estimation of total and single nucleotide polymorphism (SNP)-based heritability. The total heritability of expenditure ranged between 29.4% (SE 0.8) and 37.5% (SE 0.8), but GWA analyses did not identify SNPs or genes that were genomewide significantly associated with health care expenditure. SNP-based heritability was between 0.0% (SE 3.5) and 5.4% (SE 4.0) and was different from zero for mental health care and primary care expenditure. We conclude that successfully linking genotype data to administrative health care expenditure data from Statistics Netherlands is feasible and demonstrates a series of analyses on health care expenditure. The OSSC platform offers secure possibilities for analyzing linked data in large scale and realizing sample sizes required for GWA studies, providing invaluable opportunities to answer many new research questions.

The association between the socioeconomic status and systemic comorbidities in patients with oral cancers: a retrospective study in Guangxi Province.

BACKGROUND: It is unclear whether and how the prevalence of systemic comorbidities in oral cancer patients would change with socioeconomic development. MATERIALS AND METHODS: A retrospective study of association between socioeconomy and prevalence of systemic comorbidities in oral cancer patients from 2003 to 2017 was performed in Guangxi Province, a southwestern part of China. According to the Union for International Cancer Control (UICC) classification, 2814 patients with squamous cell carcinoma (SCC) of the lip, oral cavity, and oropharynx and 423 patients with ameloblastoma were collected and assigned to the oral cancer group and control group, respectively. Then, comparisons between the socioeconomy and healthcare expenditure in Guangxi Province, the whole China, and the USA were carried out. RESULTS: The prevalence of systemic comorbidities in oral cancer patients increased from 0.820% in 2003 to 32.302% in 2017, which was significantly higher than that in non-cancer patients(P < 0.001) and was positively correlated with the increase in gross regional product (GRP) (r = 0.911, P < 0.001) and per capita GRP (r = 0.910, P < 0.001) of Guangxi Province. In addition, the prevalence of cardiovascular diseases has the largest correlation coefficient with GRP(r = 0.957, P < 0.001) and per capita GRP(r = 0.959, P < 0.001). And the prevalence of endocrine diseases increased by 13.402% and exhibited the most significant increase in 15 years. The per capita health care expenditure of Guangxi Province and whole China was nearly equal (P = 0.353). Although the health care expenditure of Guangxi Province had been increasing year by year, its proportion in GRP remains far below that of the USA. CONCLUSIONS: With socioeconomic growth, oral cancer patients in Guangxi Province are more common to comorbid with systemic diseases. Cardiovascular and endocrine diseases may be the most susceptible systemic comorbidities in oral cancer patients to the socioeconomic status. In order to control the prevalence of systemic diseases, the government of Guangxi Province may need to expend more budgets in the health care. CLINICAL RELEVANCE: Clinicians need to pay more attention to the detection of systemic comorbidities and the concept of multidisciplinary collaboration. Instructing oral cancer patients to treat and control systemic comorbidities is also an indispensable part in the treatment of oral cancer.

Health expenditure of employees versus self-employed individuals; a 5 year study.

It is unclear to what extent self-employed choose to become self-employed. This study aimed to compare the health care expenditures-as a proxy for health-of self-employed individuals in the year before they started their business, to that of employees. Differences by sex, age, and industry were studied. In total, 5,741,457 individuals aged 25-65 years who were listed in the tax data between 2010 and 2015 with data on their health insurance claims were included. Self-employed and employees were stratified according to sex, age, household position, personal income, region, and industry for each of the years covered. Weighted linear regression was used to compare health care expenditures in the preceding (year x-1) between self-employed and employees (in year x). Compared with employees, expenditures for hospital care, pharmaceutical care and mental health care were lower among self-employed in the year before they started their business. Differences were most pronounced for men, individuals ≥40 years and those working in the industry and energy sector, construction, financial institutions, and government and care. We conclude that healthy individuals are overrepresented among the self-employed, which is more pronounced in certain subgroups. Further qualitative research is needed to investigate the reasons why these subgroups are more likely to choose to become self-employed.

Hardening subnational budget constraints via administrative subordination: The Italian experience of recovery plans in regional health services.

Since 2007, Italian regions running large deficits underwent recovery plans (Piani di Rientro) imposed by the central government. The goal was twofold: regions were asked (i) to restore a balanced budget and (ii) to continue supply the set of services defined by the constitution. We investigate whether recovery plans have reached their objectives. Our evidence suggests that recovery plans have proved to be an effective mechanism to eliminate subnational governments deficits. We also do not find any significant effects on health care utilization and on citizens' health. Overall, spending efficiency has likely improved.

Racial and ethnic patterns and differences in health care expenditures among Medicare beneficiaries with and without cognitive deficits or Alzheimer's disease and related dementias.

BACKGROUND: Numerous studies have documented racial and ethnic differences in the prevalence and incidence of Alzheimer's disease and related dementias (ADRD). Less is known, however, about racial and ethnic differences in health care expenditures among older adults at risk for ADRD (cognitive deficits without ADRD) or with ADRD. In particular, there is limited evidence that racial and ethnic differences in health care expenditures change over the trajectory of ADRD or differ by types of service. METHODS: We examined racial and ethnic patterns and differences in health care expenditures (total health care expenditures, out-of-pocket expenditures, and six service-specific expenditures) among Medicare beneficiaries without cognitive deficits, those with cognitive deficits without ADRD, and those with ADRD. Using the 1996-2017 Medical Expenditure Panel Survey, we performed multivariable regression models to estimate expenditure differences among racial and ethnic groups without cognitive deficits, those with cognitive deficits without ADRD, and those with ADRD. Models accounted for survey weights and adjusted for various demographic, socioeconomic, and health characteristics. RESULTS: Black, Asians, and Latinos without cognitive deficits had lower total health care expenditures than whites without cognitive deficits ($10,236, $9497, $9597, and $11,541, respectively). There were no racial and ethnic differences in total health care expenditures among those with cognitive deficits without ADRD and those with ADRD. Across all three groups, however, Blacks, Asians, and Latinos consistently had lower out-of-pocket expenditures than whites (except for Asians with cognitive deficits without ADRD). Furthermore, service-specific health care expenditures varied by racial and ethnic groups. CONCLUSIONS: Our study did not find significant racial and ethnic differences in total health care expenditures among Medicare beneficiaries with cognitive deficits and/or ADRD. However, we documented significant differences in out-of-pocket expenditures and service-specific expenditures. We speculated that the differences may be attributable to racial and ethnic differences in access to care and/or preferences based on family structure and cultural/economic factors. Particularly, heterogeneous patterns of service-specific expenditures by racial and ethnic groups underscore the importance of future research in identifying determinants leading to variations in service-specific expenditures among racial and ethnic groups.

An empirical study on the determinants of health care expenses in emerging economies.

BACKGROUND: Emerging countries continue to suffer gravely from insufficient healthcare funding, which adversely affects access to quality healthcare and ultimately the health status of citizens. By using panel data from the World Development Indicators, the study examined the determinants of health care expenditure among twenty-two (22) emerging countries from the year 2000 to 2018. METHODS: The study employed cross-section dependence and homogeneity tests to confirm cross-sectional dependence and to deal with homogeneity issues. The Quantile regression technique is employed to test for the relationship between private and public health care expenses and its determinants. The Pooled mean group causality test is used to examine the causal connections among the variables. RESULTS: The outcome of the quantile regression test revealed that economic growth and aging population could induce healthcare costs in emerging countries. However, the impact of industrialization, agricultural activities, and technological advancement on health expenses are found to be noticeably heterogeneous at the various quantile levels. Unidirectional causality was found between industrialization and public health expenses; whereas two-way causal influence was reveled amongst public health expenditure and GDP per capita; public health expenditure and agricultural activities. CONCLUSION: It is therefore suggested that effective and integrated strategies should be considered by industries and agricultural sectors to help reduce preventable diseases that will ultimately reduce healthcare costs among the emerging countries.

Attitudes and awareness of suture anchor cost: a survey of shoulder surgeons performing rotator cuff repairs.

BACKGROUND: The cost of health care in the United States accounts for 18% of the nation's gross domestic product and is expected to reach 20% by 2020. Physicians are responsible for 60%-80% of decisions resulting in health care expenditures. Rotator cuff repairs account for $1.2-$1.6 billion in US health care expenditures annually. The purpose of this study is to assess surgeons' cost awareness in the setting of rotator cuff repairs. The hypothesis is that practice environment and training affect cost consciousness and incentivization will lead to more cost-effective choices. METHODS: In this cross-sectional study, a 21-item survey was distributed via the email list services of the American Shoulder and Elbow Surgeons and Arthroscopy Association of North America. Data collected included demographics, variables regarding rotator cuff repair (technique, number of companies used, procedures per month), and knowledge of costs. RESULTS: Responses from 345 surgeons in 23 countries were obtained with the majority (89%) being from the United States. Most surgeons were "cost-conscious" (275, 70.7%). Of these surgeons, 62.9% are willing to switch suture anchors brands to reduce overall costs if incentivized. Cost-conscious surgeons were more likely to be fellowship trained in shoulder and elbow (51.81% vs. 38.57%, P = .048), be paid based on productivity (73.53% vs. 61.43%, P = .047), and receive shared profits (85.4% vs. 75%, P = .02). CONCLUSION: The majority of orthopedic surgeons are both cost-conscious and willing to change their practice to reduce costs if incentivized to do so. A better understanding of implant costs combined with incentives may help reduce health care expenditure.

Health care expenditure and child mortality in Nigeria.

PURPOSE: Health improves the proficiency and output generated by individuals. It also raises physical as well as mental abilities, which are required for the growth and advancement of any economy. Many infant diseases have been recognised via contemporary technology in a bid to tackle these diseases. However, children within the African continent (Including Nigeria) die en masse from diseases. This has made the government of Nigeria allocate sizeable part of the nation's budget to healthcare system. The allocation to health is, however, yet to translate to improved health condition for Nigerians. It does not measure up to the World Health Organization's (WHO) standards for apportioning budget to the health sector. This study also analyses empirically the impact of healthcare expenses on the mortality level of infants as well as Nigeria's neonatal mortality level. DESIGN/METHODOLOGY/APPROACH: The paper focuses on Nigeria. Vector auto regression model techniques, unit root tests and cointegration test were carried out using time series date for the period between 1986 and 2016. FINDINGS: The outcome has revealed that expenditure on healthcare possesses a negative correlation with the mortality of infants and neonates. The study discovers that if the Nigerian government raises and maintains health expenditure specifically on activities focused on minimising infant mortality, it will translate to reduction in infant mortality in Nigeria. ORIGINALITY/VALUE: This paper has contributed exhaustively to solution to poor expenditure on healthcare, especially child mortality, in Nigeria.

Personalized Care Plans: Are They Effective in Decreasing ED Visits and Health Care Expenditure Among Adult Super-Utilizers?

PROBLEM: Super-utilizers comprise 4.5% to 8% of all ED patients, but account for 21% to 28% of all ED visits. Excessive use of the emergency department contributes to increased health care costs, recurrent and unnecessary ED workup, decreased emergency readiness, and reduced staff morale. METHODS: The impact of personalized care plan implementation was evaluated using a within-subjects pre-post design. The number of ED visits for each enrolled patient (N = 65) were analyzed before and after personalized care plan enrollment at 90, 180, and 365 days. A post-hoc analysis was completed for each ED visit that resulted in a disposition of discharge. Total and average charges from the ED visits were analyzed to determine the intervention's effect on health care expenditure. Staff was anonymously surveyed to assess perceived efficacy and level of satisfaction with the intervention before completion of data collection. RESULTS: Median ED visits had a statistically significant decrease over 90, 180, and 365 days. There was also a decrease in median, average, and total ED charges for all time points. ED staff perceived the personalized care plans to be an effective intervention and were satisfied with their implementation. DISCUSSION: Personalized care plans effectively decreased the number of ED visits, reduced health care expenditure, and were well-received by the staff.