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BACKGROUND: Although inverse associations have been found between medication adherence and healthcare use and spending outcomes in many clinical settings, no studies to date have examined these relationships for patients with idiopathic pulmonary fibrosis (IPF) initiating nintedanib. We build on our prior study that used group-based trajectory modeling (GBTM) to compare inpatient hospitalization and medical care spending outcomes between groups of patients with different nintedanib adherence trajectories. METHODS: This analysis used 100% Medicare data and included beneficiaries with IPF who initiated nintedanib during 10/01/2014-12/31/2018. The sample consisted of community-dwelling older adults (≥ 66 years) with continuous coverage in Medicare Parts A (inpatient care), B (outpatient care) and D (prescription drugs) for one year before (baseline) and after (follow-up) initiating nintedanib. Patients were assigned to the GBTM-derived adherence trajectory group closest to their own nintedanib adherence experience. All-cause and IPF-related hospitalization events and total medical spending were measured during the follow-up period. Unadjusted and adjusted regression models were estimated to compare outcomes between patients in different nintedanib adherence trajectories. RESULTS: Among the 1,798 patients initiating nintedanib, the mean age was 75.4 years, 61.1% were male, and 91.1% were non-Hispanic white. The best-fitting GBTM had five adherence trajectories: high adherence, moderate adherence, high-then-poor adherence, delayed-poor adherence, and early-poor adherence. All-cause hospitalizations and total all-cause medical spending were higher among patients in the high-then-poor, delayed-poor and early-poor adherence trajectories than those in the high adherence trajectory. For example, adjusted total all-cause medical spending was $4,876 (95% CI: $1,470 to $8,282) higher in the high-then-poor adherence trajectory, $3,639 (95% CI: $1,322 to $5,955) higher in the delayed-poor adherence trajectory and $3,907 (95% CI: $1,658 to $6,156) higher in the early-poor adherence trajectory compared with the high adherence trajectory. IPF-related hospitalizations and medical care spending were higher among those in the high-then-poor adherence trajectory compared with those in the high adherence trajectory. CONCLUSIONS: Poor adherence to nintedanib was associated with all-cause hospitalizations and medical costs. Therefore, improved adherence programs, such as support programs, can be implemented to reduce economic burden.

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Introduction: This study analyzes the effect of telemedicine use on healthcare utilization and medical spending for patients with chronic mental illness. Methods: Using the IBM MarketScan Research database from 2009 to 2018, this study examined the timing of users' first telemedicine use and identified similar periods for non-users by using random forest and random forest proximity matching. A difference-in-differences approach, which tests whether there are differences in the study outcomes before and after the actual/predicted first use among the treated group (users) compared with the control group (non-users), was then used to assess the impact of telemedicine. Analyses were done in 2021. Results: Comparing users with non-users after matching suggested that telemedicine use both increases the number of overall outpatient visits (0.461; 95% CI=0.280, 0.642; p<0.001) related to psychotherapy and evaluation and management services, and decreases the number of in-person visits (0.280; 95% CI= -0.446, -0.114; p=0.001) for patients with chronic mental health diagnoses. Total medical spending was not significantly affected. Additionally, no evidence was found of telemedicine use being associated with an increased probability of an emergency department visit or hospitalization. Conclusions: The study findings suggest that telemedicine use is associated with an increase in outpatient care utilization for patients with chronic mental health diagnoses. No substantive changes in medical spending, the probability of an emergency department visit, or the probability of hospitalization were noted. Results provide insights into the effect of telemedicine use on spending and healthcare utilization for patients with chronic mental illness. These findings may inform research to guide future telemedicine policies and interventions.

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Over the past decades, many low- and middle-income countries have implemented health financing and system reforms to progress towards universal health coverage (UHC). In the case of Cambodia, out-of-pocket expenditure (OOPE) remains the main source of current health expenditure after several decades of reform, exposing households to financial risks when accessing healthcare and violating UHC's key tenet of financial protection. We use pre-pandemic data from the nationally representative Cambodia Socio-Economic Surveys of 2009 to 2019 to assess progress in financial protection to evaluate the reforms and obtain internationally comparable estimates. We find that following strong improvements in financial protection between 2009 and 2017, there was a reversal in the trend thereafter. The OOPE budget share rose, and the incidence of catastrophic spending and impoverishment increased in nearly all geographical and socioeconomic strata. For example, 17.7% of households experienced catastrophic health expenditure in 2019 at the threshold of 10% of total household consumption expenditure, and 3.9% of households were pushed into poverty by OOPE. The distribution of all financial protection indicators varied strongly across socioeconomic and geographical strata in all years. Fundamentally, the demonstrated trend reversal may jeopardize Cambodia's ability to progress towards UHC. To improve financial protection in the short term, there is a need to address the burden created by OOPE through targeted interventions to household groups that are most affected. In the medium term, our findings emphasize the importance of expanding health pre-payment schemes to currently uncovered vulnerable groups, specifically the near-poor. The government also needs to consider extending the scope of services covered and the range of providers to include the private sector under these schemes to reduce reliance on OOPE.

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We investigate alternative methods for constructing quality-adjusted medical price indexes both theoretically and empirically using medical claims data. The methodology and assumptions applied in the formation of the index have substantive effects on the magnitude of the quality-adjusted price changes. A method based on utility theory produces the most robust and accurate results, while alternative methods used in recent work overstate inflation. Based on Medicare claims data for three medical conditions, we find declining prices across each condition when properly adjusted for quality.

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Purpose: Early childhood developmental delay remains problematic worldwide in terms of weight and the five domains of child development, including gross motor, fine motor, cognition, language, and social domains. Based on the World Health Organization (WHO) guideline and the theoretical domain framework, this study identified five key socioeconomic factors, such as parenting time during hospitalization, parental educational level, medical spending, distance to hospital, and medical insurance coverage, to describe how these five factors are associated with improved outcomes of developmental quotient (DQ) values and the weight of infants in a tertiary hospital. Methods: In this prospective observational study, clinical and socioeconomic data were collected. Clinical data included the weight and DQ values of infants and other data relevant to the birth of infants. A National Developmental Scale was used to observe infants in five domains and calculate the DQ values of infants. These five domains include gross motor, fine motor, cognition, language, and social domains. Parenting time during hospitalizations was observed by a research nurse. Other socioeconomic factors were reported by parents and verified with system information. Results: A total of 75 infants' parents were approached, of which 60 were recruited. The age of infants ranged from 75 to 274 days at the first admission. Increments of their weight and DQ values improved from -0.5 to 2.5 kg and from -13 to 63, respectively. More than half of the parents (54.1%) were at the level of minimum secondary education although the results were not statistically significant. However, there was a positive correlation between weight improvement and parenting time during hospitalization (r(58) = 0.258, p < 0.05), medical spending (r(58) = 0.327, p < 0.05), distance to hospital (r(58) = 0.340, p < 0.01), but there was a negative association with medical insurance coverage (r(58) =-0.256, p < 0.05). There was also a significant relationship between the improved DQ value and distance to hospital (r(58)= 0.424, p < 0.01). Conclusion: Parenting time during hospitalization, medical spending, distance to hospital, and medical insurance coverage are important factors for early childhood developmental delay in relation to possible hospital intervention and improved accessibility to health services for families in rural areas. Therefore, changes in the current medical scheme are needed because a universal medical subsidy among regions will reduce the financial burden of families and provide families with more access to the necessary health services that their children need.

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RATIONALE & OBJECTIVE: Little is known about how socioeconomic status (SES) relates to the prioritization of medical care spending over personal expenditures in individuals with multiple comorbid conditions, and whether this relationship differs between Blacks and non-Blacks. We aimed to explore the relationship between SES, race, and medical spending among individuals with multiple comorbid conditions. STUDY DESIGN: Cross-sectional evaluation of baseline data from a randomized controlled trial. SETTING & PARTICIPANTS: The STOP-DKD (Simultaneous Risk Factor Control Using Telehealth to Slow Progression of Diabetic Kidney Disease) study is a completed randomized controlled trial of Duke University primary care patients with diabetes, hypertension, and chronic kidney disease. Participants underwent survey assessments inclusive of measures of socio-demographics and medication adherence. PREDICTORS: Race (Black or non-Black) and socioeconomic status (income, education, and employment). OUTCOMES: The primary outcomes were based on 4 questions related to spending, asking about reduced spending on basic/leisure needs or using savings to pay for medical care. Participants were also asked if they skipped medications to make them last longer. ANALYTICAL APPROACH: Multivariable logistic regression stratified by race and adjusted for age, sex, and household chaos was used to determine the independent effects of SES components on spending. RESULTS: Of 263 STOP-DKD participants, 144 (55%) were Black. Compared with non-Blacks, Black participants had lower incomes with similar levels of education and employment but were more likely to reduce spending on basic needs (29.2% vs 13.5%), leisure activities (35.4% vs 20.2%), and to skip medications (31.3% vs 15.1%), all P < 0.05. After multivariable adjustment, Black race was associated with increased odds of reduced basic spending (OR, 2.29; 95% CI, 1.14-4.60), reduced leisure spending (OR, 1.94; 95% CI, 1.05-3.58), and skipping medications (OR, 2.12; 95% CI, 1.12-4.04). LIMITATIONS: This study was conducted at a single site in Durham, North Carolina, and nearly exclusively included insured patients. Further, the impact of the number of comorbid conditions, medication costs, or copayments was not assessed. CONCLUSIONS: In primary care patients with multiple chronic diseases, Black patients are more likely to reduce spending on basic needs and leisure activities to afford their medical care than non-Black patients of equivalent SES. CLINICALTRIALSGOV IDENTIFIER: NCT01829256.

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BACKGROUND: Obesity is associated with a substantial health and economic burden in the general population in the United States. This study estimates the excess health care utilization and medical spending associated with overweight and obesity among long-term cancer survivors. METHODS: Long-term cancer survivors (≥2 years after their diagnosis) aged ≥18 years (N = 12,547) were identified from the nationally representative 2008-2016 Medical Expenditure Panel Survey. A 2-part modeling approach was used to calculate the average annual care utilization and spending by service type. Excess care utilization and spending associated with overweight (25 kg/m2 ≤ body mass index [BMI] < 30 kg/m2 ), obesity (BMI ≥ 30 kg/m2 ), and severe obesity (BMI ≥ 40 kg/m2 ), in comparison with normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2 ), were estimated. RESULTS: Compared with normal-weight cancer survivors, overweight survivors had comparable care utilization and medical spending; survivors with obesity had an additional $3216 (95% CI, $1940-$4492) of medical spending, including $1243 (95% CI, $417-$2070) on hospital inpatient services and $1130 (95% CI, $756-$1504) on prescriptions per person per year. The excess annual medical spending associated with obesity among long-term cancer survivors translated to $19.7 billion in 2016 in the United States. The excess medical spending was magnified in cancer survivors with severe obesity ($5317 [95% CI, $2849-$7785], which translated to $6.7 billion in 2016). Excess care utilization and medical spending were mostly explained by comorbid conditions related to obesity. CONCLUSIONS: For long-term cancer survivors, obesity was associated with increased health care utilization and substantial excess medical spending. This suggests that policies and practices promoting a healthy lifestyle and achieving and maintaining a healthy body weight for cancer survivors may reduce their health care utilization and economic burden.

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BACKGROUND: This study examines the effects of a shift in medical coverage, from National Health Insurance (NHI) to Medical Aid (MA), on health care utilization (measured by the number of outpatient visits and length of stay; LOS) and out-of-pocket medical expenses. METHODS: Data were collected from the Korean Welfare Panel Study (2010-2016). A total of 888 MA Type I beneficiaries and 221 MA Type II beneficiaries who shifted from the NHI were included as the case group and 2664 and 663 consecutive NHI holders (1:3 propensity score-matched) were included as the control group, respectively. We used the 'difference-in-differences' (DiD) analysis approach to assess changes in health care utilization and medical spending by the group members. RESULTS: Differential average changes in outpatient visits in the MA Type I panel between the pre- and post-shift periods were significant, but differential changes in LOS were not found. Those who shifted from NHI to MA Type I had increased number of outpatient visits without changes in out-of-pocket spending, compared to consecutive NHI holder who had similar characteristics. However, this was not found for MA Type II beneficiaries. CONCLUSION: Our research provides evidence that the shift in medical coverage from NHI to MA Type I increased the number of outpatient visits without increasing the out-of-pocket spending. Considering the problem of excess medical utilization by Korean MA Type I beneficiaries, further researches are required to have in-depth discussions on the appropriateness of the current cost-sharing level on MA beneficiaries.

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Many countries have expanded insurance programmes in an effort to achieve universal health coverage (UHC). We assess a complementary path toward financial risk protection: increased access to technologies that improve health and reduce the risk of large health expenditures. Malawi has provided free HIV treatment since 2004 with significant US Government support. We investigate the impact of treatment access on medical spending, capacity to pay and catastrophic health expenditures at the population level, exploiting the phased rollout of HIV treatment in a difference-in-differences design. We find that increased access to HIV treatment generated a 10% decline in medical spending for urban households, a 7% increase in capacity to pay for rural households and a 3-percentage point decrease in the likelihood of catastrophic health expenditure among urban households. These risk protection benefits are comparable to that found from broad-based insurance coverage in other contexts. Our findings show that targeted treatment programmes that provide free care for high burden causes of death can provide substantial financial risk protection against catastrophic health expenditure, while moving developing nations toward UHC.

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RéSUMé: OBJECTIF: Il est démontré que la santé est principalement le fruit de ses déterminants sociaux, et comme de fait, la recherche sur les systèmes de santé montre que les dépenses publiques relatives aux programmes sociaux sont souvent plus fortement corrélées à la santé des populations que les investissements dans les soins médicaux. Notre étude vise à aider les Cabinets provinciaux et fédéraux du Canada à en prendre acte en introduisant le concept de « la santé dans toutes les politiques ¼ (Health in All Policies, ou HiAP) dans les débats budgétaires. MéTHODE: L'étude est descriptive; elle analyse des données secondaires accessibles au public sur les budgets fédéraux et provinciaux pour déterminer comment le financement public des investissements dans les déterminants sociaux de la santé (DSS) aux stades précoces (< 45 ans) et ultérieurs (65 ans et plus) du parcours de vie a évolué depuis 1976 par rapport aux investissements dans les soins médicaux. RéSULTATS: Les dépenses en soins médicaux ont augmenté de 3 983 $ par personne de 65 ans et plus depuis 1976. Cette augmentation dépasse de 45 % l'augmentation combinée des dépenses en services de garde, en congés parentaux, en aide au revenu familial, en éducation et en soins médicaux par personne pour les moins de 45 ans. De toutes les nouvelles dépenses pour les Canadiens plus jeunes, les soins médicaux ont reçu les investissements les plus importants. Alors que les dépenses médicales pour les retraités ont dépassé d'un peu plus de la moitié le rythme des dépenses en revenus de retraite, les dépenses médicales pour les Canadiens plus jeunes ont augmenté presque autant que les dépenses pour l'ensemble des politiques de DSS à leur endroit. CONCLUSION: Depuis 1976, il y a une plus grande concordance entre l'approche HiAP et le financement public du Canada pour les aînés que pour les Canadiens plus jeunes. Ces résultats offrent aux décideurs d'importantes informations rétrospectives pour évaluer les futurs investissements publics dans les soins médicaux et les déterminants sociaux de la santé pour tout le parcours de vie, ainsi que les plans de financement de ces investissements.

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Improvements in medical treatment have contributed to rising health spending. Yet there is relatively little evidence on whether the spending increase is "worth it" in the sense of producing better health outcomes of commensurate value-a critical question for understanding productivity in the health sector and, as that sector grows, for deriving an accurate quality-adjusted price index for an entire economy. We analyze individual-level panel data on medical spending and health outcomes for 123,548 patients with type 2 diabetes in four health systems: Japan, The Netherlands, Hong Kong and Taiwan. Using a "cost-of-living" method that measures value based on improved survival, we find a positive net value of diabetes care: the value of improved survival outweighs the added costs of care in each of the four health systems. This finding is robust to accounting for selective survival, end-of-life spending, and a range of values for a life-year or fraction of benefits attributable to medical care. Since the estimates do not include the value from improved quality of life, they are conservative. We, therefore, conclude that the increase in medical spending for management of diabetes is offset by an increase in quality.

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This study examined income-based disparities in financial burdens from out-of-pocket (OOP) medical spending among individuals with multiple chronic physical and behavioral conditions, before and after the Affordable Care Act's (ACA) implementation in 2014. Using the 2012-2015 Medical Expenditure Panel Survey data, we studied changes in financial burdens experienced by nonelderly U.S. populations. Financial burdens were measured by (1) high financial burden, defined as total OOP medical spending exceeding 10% of annual household income; (2) health care cost-sharing ratio, defined as self-paid payments as a percent of total health care payments, excluding individual contributions to premiums; and (3) the total OOP costs spent on health care utilization. The findings indicated reductions in the proportion of those who experienced a high financial burden, as well as reductions in the OOP costs for some individuals. However, individuals with incomes below 138% federal poverty level (FPL) and those with incomes between 251% and 400% FPL who had multiple physical and/or behavioral chronic conditions experienced large increases in high financial burden after the ACA, relative to those with incomes greater than 400% FPL. While the ACA was associated with relieved medical financial burdens for some individuals, the worsening high financial burden for moderate-income individuals with chronic physical and behavioral conditions is a concern. Policymakers should revisit the cost subsidies for these individuals, with a particular focus on those with chronic conditions.

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Aims: Many new mobile technologies are available to assist people in managing chronic conditions, but data on the association between the use of these technologies and medical spending remains limited. As the available digital technology offerings to aid in diabetes management increase, it is important to understand their impact on medical spending. The aim of this study was to investigate the financial impact of a remote digital diabetes management program using medical claims and real-time blood glucose data. Materials and methods: A retrospective analysis of multivariate difference-in-difference and instrumental variables regression modeling was performed using data collected from a remote digital diabetes management program. All employees with diabetes were invited, in a phased introduction, to join the program. Data included blood glucose (BG) values captured remotely from members via connected BG meters and medical spending claims. Participants included members (those who accepted the invitation, n = 2,261) and non-members (n = 8,741) who received health insurance benefits from three self-insured employers. Medical spending was compared between people with well-controlled (BG ≤ 154 mg/dL) and poorly controlled (BG > 154 mg/dL) diabetes. Results: Program access was associated with a 21.9% (p < 0.01) decrease in medical spending, which translates into a $88 saving per member per month at 1 year. Compared to non-members, members experienced a 10.7% (p < 0.01) reduction in diabetes-related medical spending and a 24.6% (p < 0.01) reduction in spending on office-based services. Well-controlled BG values were associated with 21.4% (p = 0.03) lower medical spending. Limitations and conclusions: Remote digital diabetes management is associated with decreased medical spending at 1 year. Reductions in spending increased with active utilization. It will be beneficial for future studies to analyze the long-term effects of the remote diabetes management program and assess impacts on patient health and well-being.

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In the "basic" approach, medical expenses are catastrophic if they exceed a prespecified percentage of consumption or income; the approach tells us if expenses cause a large percentage reduction in living standards. The ability-to-pay (ATP) approach defines expenses as catastrophic if they exceed a prespecified percentage of consumption less expenses on nonmedical necessities or an allowance for them. The paper argues that the ATP approach does not tell us whether expenses are large enough to undermine a household's ability to purchase nonmedical necessities. The paper compares the income-based and consumption-based variants of the basic approach, and shows that if the individual is a borrower after a health shock, the income-based ratio will exceed the consumption-based ratio, and both will exceed the more theoretically correct Flores et al. ratio; whereas if the individual continues to be a saver after a health shock, the ordering is reversed and the income-based ratio may not overestimate Flores et al.'s ratio. Last, the paper proposes a lifetime money metric utility (LMMU) approach defining medical expenses as catastrophic in terms of their lifetime consequences. Under certain assumptions, the LMMU and Flores et al. approaches are identical, and neither requires data on how households finance their medical expenses.

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Achieving universal health insurance coverage is a major objective for many countries. Taiwan implemented its National Health Insurance (NHI) program with universal coverage in 1995. This study investigates whether the NHI program affects the level and structures of out-of-pocket (OOP) health expenditures. We used data from the Taiwan Survey of Family Income and Expenditure released by the Directorate-General of Budget, Accounting and Statistics. We identified a case and a control group and then employed coarsened exact matching to match the two groups using several available variables. We then conducted a difference-in-difference analysis and determined that there was a statistically significant negative effect on OOP expenditure that was attributable to NHI (a reduction of 2.11 percentage points in total household expenditure). The largest reductions were found in health care services (-1.63%) and pharmaceuticals (-0.45%). We found a statistically significant positive effect on purchases of private insurance related to health care, which was attributable to NHI (an increase of 0.96 percentage points in household budget share). In addition, we discovered that the NHI program had a greater impact on households of a lower socioeconomic status compared with higher socioeconomic status households. The structure of OOP payments in the post-NHI period remained similar to that of the pre-NHI period in the full sample but varied slightly depending on the educational level of the head of the household.

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OBJECTIVES: The goal of this study was to illustrate the potential benefit of effective congestive heart failure (CHF) treatment in terms of improved health, greater social value, and reduced health disparities between black and white subpopulations. BACKGROUND: CHF affects 5.7 million Americans, costing $32 billion annually in treatment expenditures and lost productivity. CHF also contributes to health disparities between black and white Americans: black subjects develop CHF at a younger age and are more likely to be hospitalized and die of this disease. Improved CHF treatment could generate significant health benefits and reduce health disparities. METHODS: We adapted an established economic-demographic microsimulation to estimate scenarios in which a hypothetical innovation eliminates the incidence of CHF and, separately, 6 other diseases in patients 51 to 52 years of age in 2016. This cohort was followed up until death. We estimated total life years, quality-adjusted life years, and disability-free life years with and without the innovation, for the population overall and for race- and sex-defined subpopulations. RESULTS: CHF prevalence among 65- to 70-year-olds increased from 4.3% in 2012 to 8.5% in 2030. Diagnosis with CHF coincided with significant increases in disability and medical expenditures, particularly among black subjects. Preventing CHF among those 51 to 52 years of age in 2016 would generate nearly 2.9 million additional life years, 1.1 million disability-free life years, and 2.1 million quality-adjusted life years worth $210 to $420 billion. These gains are greater among black subjects than among white subjects. CONCLUSIONS: CHF prevalence will increase substantially over the next 2 decades and will affect black Americans more than white Americans. Improved CHF treatment could generate significant social value and reduce existing health disparities.

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Michael Grossman's human capital model of the demand for health has been argued to be one of the major achievements in theoretical health economics. Attempts to test this model empirically have been sparse, however, and with mixed results. These attempts so far relied on using-mostly cross-sectional-micro data from household surveys. For the first time in the literature, we bring in macroeconomic panel data for 29 OECD countries over the period 1970-2010 to test the model. To check the robustness of the results for the determinants of medical spending identified by the model, we include additional covariates in an extreme bounds analysis (EBA) framework. The preferred model specifications (including the robust covariates) do not lend much empirical support to the Grossman model. This is in line with the mixed results of earlier studies.

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Zambia removed user fees in publicly supported-government and faith based- health facilities in 54 out of 72 districts in 2006. This was extended to rural areas of previously unaffected districts in 2007. The natural experiment provided by the step-wise implementation of the removal policy and five waves of nationally representative household survey data enables us to study the impact of the removal policy on utilization and household health expenditure. We find that the policy increased overall use of health services in the short term and the effects were sustained in the long term. The increases were higher for individuals whose household heads were unemployed or had no or less education. The policy also led to a small shift in care seeking from private to publicly supported facilities, an effect driven primarily by individuals whose household heads were either formally employed or engaged in farming. The likelihood of incurring any spending reduced, although this weakened slightly in the long term. At the same time, there was an upward pressure on conditional health expenditure, i.e., expenditure was higher after removal of fees for those who incurred any spending. Hence, total (unconditional) household health expenditure was not significantly affected.