Pandemic preparedness improves national-level SARS-CoV-2 infection and mortality data completeness: a cross-country ecologic analysis.

BACKGROUND: Heterogeneity in national SARS-CoV-2 infection surveillance capabilities may compromise global enumeration and tracking of COVID-19 cases and deaths and bias analyses of the pandemic's tolls. Taking account of heterogeneity in data completeness may thus help clarify analyses of the relationship between COVID-19 outcomes and standard preparedness measures. METHODS: We examined country-level associations of pandemic preparedness capacities inventories, from the Global Health Security (GHS) Index and Joint External Evaluation (JEE), on SARS-CoV-2 infection and COVID-19 death data completion rates adjusted for income. Analyses were stratified by 100, 100-300, 300-500, and 500-700 days after the first reported case in each country. We subsequently reevaluated the relationship of pandemic preparedness on SARS-CoV-2 infection and age-standardized COVID-19 death rates adjusted for cross-country differentials in data completeness during the pre-vaccine era. RESULTS: Every 10% increase in the GHS Index was associated with a 14.9% (95% confidence interval 8.34-21.8%) increase in SARS-CoV-2 infection completion rate and a 10.6% (5.91-15.4%) increase in the death completion rate during the entire observation period. Disease prevention (infections: ß = 1.08 [1.05-1.10], deaths: ß = 1.05 [1.04-1.07]), detection (infections: ß = 1.04 [1.01-1.06], deaths: ß = 1.03 [1.01-1.05]), response (infections: ß = 1.06 [1.00-1.13], deaths: ß = 1.05 [1.00-1.10]), health system (infections: ß = 1.06 [1.03-1.10], deaths: ß = 1.05 [1.03-1.07]), and risk environment (infections: ß = 1.27 [1.15-1.41], deaths: ß = 1.15 [1.08-1.23]) were associated with both data completeness outcomes. Effect sizes of GHS Index on infection completion (Low income: ß = 1.18 [1.04-1.34], Lower Middle income: ß = 1.41 [1.16-1.71]) and death completion rates (Low income: ß = 1.19 [1.09-1.31], Lower Middle income: ß = 1.25 [1.10-1.43]) were largest in LMICs. After adjustment for cross-country differences in data completeness, each 10% increase in the GHS Index was associated with a 13.5% (4.80-21.4%) decrease in SARS-CoV-2 infection rate at 100 days and a 9.10 (1.07-16.5%) decrease at 300 days. For age-standardized COVID-19 death rates, each 10% increase in the GHS Index was with a 15.7% (5.19-25.0%) decrease at 100 days and a 10.3% (- 0.00-19.5%) decrease at 300 days. CONCLUSIONS: Results support the pre-pandemic hypothesis that countries with greater pandemic preparedness capacities have larger SARS-CoV-2 infection and mortality data completeness rates and lower COVID-19 disease burdens. More high-quality data of COVID-19 impact based on direct measurement are needed.

Variation in processes of care for total hip arthroplasty across high-income countries.

Total hip arthroplasty (THA) is among the most commonly performed elective surgeries in high-income countries, and wait times for THA have frequently been cited by US commentators as evidence that countries with universal insurance programs or national health systems "ration" care. This novel qualitative study explores processes of care for hip replacement in the United States and 6 high-income countries with a focus on eligibility, wait times, decision-making, postoperative care, and payment policies. We found no evidence of rationing or government interference in decision-making across high-income countries. Compared with the 6 other high-income countries in our study, the United States has developed efficient care processes that often allow for a same-day discharge. In contrast, THA patients in Germany stay in the hospital 7-9 days and receive 2-3 weeks of inpatient rehabilitation. However, the payment per THA in the United States remains far above other countries, despite far fewer inpatient days.

The role of race and ethnicity in health care crowdfunding: an exploratory analysis.

Medical crowdfunding is a key source of financing for individuals facing high out-of-pocket costs, including organ-transplant candidates. However, little is known about racial disparities in campaigning activity and outcomes, or how these relate to access to care. In this exploratory, nationwide, cross-sectional study, we examined racial disparities in campaigning activity across states and the association between US campaigners' race and ethnicity and crowdfunding outcomes using a novel database of organ-transplant-related campaigns, and an algorithm to identify race and ethnicity based on name and geographic location. This analysis suggests that there are racial disparities in individuals' ability to successfully raise requested funds, with Black and Hispanic campaigners fundraising lower amounts and less likely to achieve their monetary goals. We also found that crowdfunding among White, Black, and Hispanic populations exhibits different patterns of activity at the state level, and in relation to race-specific uninsurance and waitlist additions, highlighting potential differences in fundraising need across the 3 groups. Policy efforts should consider not only how inequalities in fundraising ability for associated costs influence accessibility to care but also how to identify clinical need among minorities.

Cross-country comparisons in health price growth over time.

OBJECTIVE: To examine how the United States compares in terms of health price growth relative to four other countries - Australia, Canada, France, and the Netherlands. DATA SOURCES AND STUDY SETTING: Secondary data on health expenditure were extracted from international and national agencies spanning the years 2000-2020. STUDY DESIGN: International price indices specific to health were constructed using available international expenditure data and compared to existing health-specific national and general international price indices. DATA COLLECTION/EXTRACTION METHODS: Health expenditure data were extracted from the Organization for Economic Cooperation and Development (OECD) database. We obtained a time series of health price indices from the national agencies in each of the study countries. PRINCIPAL FINDINGS: We find meaningful variation across countries in the rate at which health prices grow relative to general prices. The United States had the highest cumulative health price growth compared to general price growth over the years 2000-2020 at 14%, followed by Canada and the Netherlands. Unlike the other study countries, health prices in France grew consistently in line with general prices. Price growth for health care paid for by public funds and households grew at different rates across countries, where price growth was higher for public payers. US households faced the greatest mean annual price growth. CONCLUSIONS: The choice of price index has major implications for comparative analysis. Despite their widespread use internationally, general price indices likely underestimate the contribution of price growth to overall health expenditure growth. We find that in addition to its reputation for having high health price levels compared to other high-income countries, the United States also faces health price growth for goods and services paid for by government and households in excess of general price growth. Furthermore, US households are exposed to greater health price growth than households in comparator countries.

Availability and Coverage of New Drugs in 6 High-Income Countries With Health Technology Assessment Bodies.

This cohort study analyzes review times and approval outcomes of health technology assessments conducted in 6 high-income countries for novel therapeutic agents approved by the US Food and Drug Administration.

Sex differences among children, adolescents and young adults for mental health service use within inpatient and outpatient settings, before and during the COVID-19 pandemic: a population-based study in Ontario, Canada.

OBJECTIVES: The pandemic and public health response to contain the virus had impacts on many aspects of young people's lives including disruptions to daily routines, opportunities for social, academic, recreational engagement and early employment. Consequently, children, adolescents and young adults may have experienced mental health challenges that required use of mental health services. This study compared rates of use for inpatient and outpatient mental health services during the pandemic to pre-pandemic rates. DESIGN: Population-based repeated cross-sectional study. SETTING: Publicly delivered mental healthcare in primary and secondary settings within the province of Ontario, Canada. PARTICIPANTS: All children 6-12 years of age (n=2 043 977), adolescents 13-17 years (n=1 708 754) and young adults 18-24 years (n=2 286 544), living in Ontario and eligible for provincial health insurance between March 2016 and November 2021. PRIMARY OUTCOME MEASURES: Outpatient mental health visits to family physicians and psychiatrists for: mood and anxiety disorders, alcohol and substance abuse disorders, other non-psychotic mental health disorders and social problems. Inpatient mental health visits to emergency departments and hospitalisations for: substance-related and addictive disorders, anxiety disorders, assault-related injuries, deliberate self-harm and eating disorders. All outcomes were analysed by cohort and sex. RESULTS: During the pandemic, observed outpatient visit rates were higher among young adults by 19.01% (95% CI: 15.56% to 22.37%; 209 vs 175 per 1000) and adolescent women 24.17% (95% CI: 18.93% to 29.15%; 131 vs 105 per 1000) for mood and anxiety disorders and remained higher than expected. Female adolescents had higher than expected usage of inpatient care for deliberate self-harm, eating disorders and assault-related injuries. CONCLUSIONS: Study results raise concerns over prolonged high rates of mental health use during the pandemic, particularly in female adolescents and young women, and highlights the need to better monitor and identify mental health outcomes associated with COVID-19 containment measures and to develop policies to address these concerns.

Utilization of physician mental health services by birthing parents with young children during the COVID-19 pandemic: a population-based, repeated cross-sectional study.

BACKGROUND: The COVID-19 pandemic and nonpharmaceutical interventions that reduced the spread of infection had impacts on social interaction, schooling and employment. Concerns have been raised about the impact of these disruptions on the mental health of high-risk groups, including birthing parents of young children. METHODS: This population-based, repeated cross-sectional study used health administrative databases in Ontario, Canada, to link children to birth parents and to measure subsequent mental health visits of birthing parents of younger (age 0-5 yr) and school-aged (6-12 yr) children. We used a repeated cross-sectional study design to estimate expected rates for visits to physicians for mental health diagnoses, based on prepandemic trends (March 2016-February 2020), and to compare those to observed visit rates during the March 2020-November 2021 period of the pandemic. RESULTS: We identified 2 cohorts: 986 870 birthing parents of younger children and 1 012 997 birthing parents of school-aged children. In both cohorts, observed visit rates were higher than expected in the June 2020-August 2020 quarter (incidence rate ratio [IRR] 1.13, 95% confidence interval [CI] 1.10-1.16; and IRR 1.10, 95% CI 1.07-1.13, respectively), peaked in December 2020-February 2021 (IRR 1.24, 95% CI 1.20-1.27; and IRR 1.20, 95% CI 1.16-1.23) and remained higher than expected in September 2021-November 2021 (IRR 1.12, 95% CI 1.08-1.16; and IRR 1.09, 95% CI 1.06-1.13). The increases were driven mostly by visits for mood and anxiety disorders, and trends in increases were similar across physician type, birthing-parent age and deprivation quintile. INTERPRETATION: The COVID-19 pandemic was associated with increased mental health visits for parents of young children. This raises concerns about mental health impacts and highlights the need to address these concerns.

Why the US spends more treating high-need high-cost patients: a comparative study of pricing and utilization of care in six high-income countries.

One of the most pressing challenges facing most health care systems is rising costs. As the population ages and the demand for health care services grows, there is a growing need to understand the drivers of these costs across systems. This paper attempts to address this gap by examining utilization and spending of the course of a year for two specific high-need high-cost patient types: a frail older person with a hip fracture and an older person with congestive heart failure and diabetes. Data on utilization and expenditure is collected across five health care settings (hospital, post-acute rehabilitation, primary care, outpatient specialty and drugs), in six countries (Canada (Ontario), France, Germany, Spain (Aragon), Sweden and the United States (fee for service Medicare) and used to construct treatment episode Purchasing Power Parities (PPPs) that compare prices using baskets of goods from the different care settings. The treatment episode PPPs suggest other countries have more similar volumes of care to the US as compared to other standardization approaches, suggesting that US prices account for more of the differential in US health care expenditures. The US also differs with regards to the share of expenditures across care settings, with post-acute rehab and outpatient speciality expenditures accounting for a larger share of the total relative to comparators.

Health system performance assessment: a primer for policy-makers

This policy brief is one of a new series to meet the needs of policy-makers and health system managers. The aim is to develop key messages to support evidence-informed policy-making and the editors will continue to strengthen the series by working with authors to improve the consideration given to policy options and implementation.

A methodology for identifying high-need, high-cost patient personas for international comparisons.

OBJECTIVE: To establish a methodological approach to compare two high-need, high-cost (HNHC) patient personas internationally. DATA SOURCES: Linked individual-level administrative data from the inpatient and outpatient sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. STUDY DESIGN: We outline a methodological approach to identify HNHC patient types for international comparisons that reflect complex, priority populations defined by the National Academy of Medicine. We define two patient profiles using accessible patient-level datasets linked across different domains of care-hospital care, primary care, outpatient specialty care, post-acute rehabilitative care, long-term care, home-health care, and outpatient drugs. The personas include a frail older adult with a hip fracture with subsequent hip replacement and an older person with complex multimorbidity, including heart failure and diabetes. We demonstrate their comparability by examining the characteristics and clinical diagnoses captured across countries. DATA COLLECTION/EXTRACTION METHODS: Data collected by ICCONIC partners. PRINCIPAL FINDINGS: Across 11 countries, the identification of HNHC patient personas was feasible to examine variations in healthcare utilization, spending, and patient outcomes. The ability of countries to examine linked, individual-level data varied, with the Netherlands, Canada, and Germany able to comprehensively examine care across all seven domains, whereas other countries such as England, Switzerland, and New Zealand were more limited. All countries were able to identify a hip fracture persona and a heart failure persona. Patient characteristics were reassuringly similar across countries. CONCLUSION: Although there are cross-country differences in the availability and structure of data sources, countries had the ability to effectively identify comparable HNHC personas for international study. This work serves as the methodological paper for six accompanying papers examining differences in spending, utilization, and outcomes for these personas across countries.

International comparison of spending and utilization at the end of life for hip fracture patients.

OBJECTIVE: To identify and explore differences in spending and utilization of key health services at the end of life among hip fracture patients across seven developed countries. DATA SOURCES: Individual-level claims data from the inpatient and outpatient health care sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC). STUDY DESIGN: We retrospectively analyzed utilization and spending from acute hospital care, emergency department, outpatient primary care and specialty physician visits, and outpatient drugs. Patterns of spending and utilization were compared in the last 30, 90, and 180 days across Australia, Canada, England, Germany, New Zealand, Spain, and the United States. We employed linear regression models to measure age- and sex-specific effects within and across countries. In addition, we analyzed hospital-centricity, that is, the days spent in hospital and site of death. DATA COLLECTION/EXTRACTION METHODS: We identified patients who sustained a hip fracture in 2016 and died within 12 months from date of admission. PRINCIPAL FINDINGS: Resource use, costs, and the proportion of deaths in hospital showed large variability being high in England and Spain, while low in New Zealand. Days in hospital significantly decreased with increasing age in Canada, Germany, Spain, and the United States. Hospital spending near date of death was significantly lower for women in Canada, Germany, and the United States. The age gradient and the sex effect were less pronounced in utilization and spending of emergency care, outpatient care, and drugs. CONCLUSIONS: Across seven countries, we find important variations in end-of-life care for patients who sustained a hip fracture, with some differences explained by sex and age. Our work sheds important insights that may help ongoing health policy discussions on equity, efficiency, and reimbursement in health care systems.