Project description:Due to COVID 19 (Corona virus disease)pandemic, majority of surgeries, including surgery for cancer patients got delayed across the globe. Surgeries were limited to emergency set up only. At our institute we tried to perform colorectal cancer surgeries through out the pandemic, albeit in less numbers, as we thought cancer in itself is an emergency setting. we are planning to analyse the prospectively managed database of this particular group of patients over a period of last six 6 months and look out at 30 day post operative morbidity and mortality. Besides we will try to analyse the implications of our decision to carry on with cancer surgeries in terms of number of health care workers who got infected while being involved in primary care of these patients.
Project description:ImportanceThe global burden of chronic kidney disease (CKD) is substantial and potentially leads to higher health care resource use.ObjectiveTo examine the association between early-stage CKD and health care spending and its changes over time in the general population.Design, setting, and participantsCohort study using nationwide health checkup and medical claims data in Japan. Participants included individuals aged 30 to 70 years with estimated glomerular filtration rates (eGFR) of 30 mL/min/1.73 m2 or greater at the baseline screening in 2014. Data analyses were conducted from April 2021 to October 2023.ExposureThe CKD stages at baseline, defined by the eGFR and proteinuria, were as follows: eGFR of 60 mL/min/1.73 m2 or greater without proteinuria, eGFR of 60 mL/min/1.73 m2 or greater with proteinuria, eGFR of 30 to 59 mL/min/1.73 m2 without proteinuria, and eGFR of 30 to 59 mL/min/1.73 m2 with proteinuria.Main outcome and measuresThe primary outcome was excess health care spending, defined as the absolute difference in health care spending according to the baseline CKD stages (reference group: eGFR ≥60 mL/min/1.73 m2 without proteinuria) in the baseline year (2014) and in the following 5 years (2015 to 2019).ResultsOf the 79 988 participants who underwent a health checkup (mean [SD] age, 47.0 [9.4] years; 22 027 [27.5%] female), 2899 (3.6%) had an eGFR of 60 mL/min/1.73 m2 or greater with proteinuria, 1116 (1.4%) had an eGFR of 30 to 59 mL/min/1.73 m2 without proteinuria, and 253 (0.3%) had an eGFR of 30 to 59 mL/min/1.73 m2 with proteinuria. At baseline, the presence of proteinuria and an eGFR less than 60 mL/min/1.73 m2 were associated with greater excess health care spending (adjusted difference, $178; 99% CI, $6-$350 for proteinuria; $608; 99% CI, $233-$983 for an eGFR of 30-59 mL/min/1.73 m2; and $1254; 99% CI, $134-$2373 for their combination). The study consistently found excess health care spending over the following 5 examined years.Conclusions and relevanceIn this cohort study of nationwide health checkup and medical claims data in Japan, early-stage CKD was associated with excess health care spending over the 5 examined years, and the association was more pronounced with a more advanced disease stage.
Project description:There has been substantial excess morbidity and mortality during the COVID-19 pandemic, not all of which was directly attributable to SARS-CoV-2 infection, and many non-COVID-19 deaths were cardiovascular. The indirect effects of the pandemic have been profound, resulting in a substantial increase in the burden of cardiovascular disease and cardiovascular risk factors, both in individuals who survived SARS-CoV-2 infection and in people never infected. In this report, we review the direct effect of SARS-CoV-2 infection on cardiovascular and cardiometabolic disease burden in COVID-19 survivors as well as the indirect effects of the COVID-19 pandemic on the cardiovascular health of people who were never infected with SARS-CoV-2. We also examine the pandemic effects on health care systems and particularly the care deficits caused (or exacerbated) by health care delayed or foregone during the COVID-19 pandemic. We review the consequences of: (1) deferred/delayed acute care for urgent conditions; (2) the shift to virtual provision of outpatient care; (3) shortages of drugs and devices, and reduced access to: (4) diagnostic testing, (5) cardiac rehabilitation, and (6) homecare services. We discuss the broader implications of the COVID-19 pandemic for cardiovascular health and cardiovascular practitioners as we move forward into the next phase of the pandemic.
Project description:In 2021, global life expectancy at birth was 74 years whereas in sub-Saharan Africa it was 66 years. Yet in that same year, $92 per person was spent on health in sub- Saharan Africa, which is roughly one fifth of what the next lowest geographic region-North Africa and Middle East-spent ($379). The challenges to healthy lives in sub-Saharan Africa are many while health spending remains low. This study uses gross domestic product, government, and health spending data to give a more complete picture of the patterns of future health spending in sub-Saharan Africa. We analyzed trends in growth in gross domestic product, government health spending, development assistance for health and the prioritization of health in national spending to compare countries within sub-Saharan Africa and globally.We found that while gross domestic product was projected to increase through 2050 in sub-Saharan Africa, the share of gross domestic product that goes to health spending is only expected to increase moderately. Our exploration shows that this tepid growth is expected because the percent of overall government spending that is dedicated to health 7·2% (6·3-8·3) compared to average of 12·4% (11·7-13·2) in other regions) is expected to stay low. Even if the amount, of resources provided from donors climbs some, it is not expected to keep pace with growing economies in sub-Saharan Africa and may transition towards other global public health goods. Critically, development assistance for health provided to sub-Saharan Africa is expected to decrease in some countries, and the expected growth in government health spending might not be enough to cover this expected decline. Increases in spending with a concordant prioritization of health and the appropriate health system governance and structural reforms are critical to ensure that people who live in sub-Saharan Africa are not left behind.
Project description:ObjectivesTo investigate the consequences of endogeneity bias on the estimated effect of having health insurance on health at age 63 or 64, just before most people qualify for Medicare, and to simulate the implications for total and public insurance (Medicare and Medicaid) spending on newly enrolled beneficiaries in their first years of Medicare coverage.DataThe longitudinal Health and Retirement Survey of people who were 55-61 years old in 1992, followed through biannual surveys to age 63-64 or until 2000 (whichever came first), and those who were 66-70 years olds from the Medicare Current Beneficiary Surveys, 1992-1998.Study designInstrumental variable (IV) estimation of a simultaneous equation model of insurance choice and health at age 63-64 as a function of baseline health and sociodemographic characteristics in 1992 and endogenous insurance coverage over the observation period.FindingsContinuous insurance coverage is associated with significantly fewer deaths prior to age 65 and, among those who survive, a significant upward shift in the distribution of health states from fair and poor health with disabilities to good to excellent health. Treating insurance coverage as endogenous increases the magnitude of the estimated effect of having insurance on improved health prior to age 65. The medical spending simulations suggest that if the near-elderly had continuous insurance coverage, average annual medical spending per capita for new Medicare beneficiaries in their first few years of coverage would be slightly lower because of the improvement in health status. In addition, total Medicare and Medicaid spending for new beneficiaries over their first few years of coverage would be about the same or slightly lower, even though more people survive to age 65.ConclusionsExtending insurance coverage to all Americans between the ages of 55 and 64 would improve health (increase survival and shift people from good-fair-poor health to excellent-very good health) at age 65, and possibly reduce total short-term spending by Medicare and Medicaid for newly eligible Medicare beneficiaries, even though more people would enter the program because of increased survival.
Project description:IntroductionA novel coronavirus (COVID-19) reached pandemic levels by March 11th, 2020, with a destructive impact across socioeconomic domains and all facets of global health, but little is known of its impact on sexual health.ObjectiveTo review current knowledge on sexual health-related containment measures during pandemics, specifically COVID-19, and focus on 2 main areas: intimacy and relational dynamics and clinical effects on sexual health.MethodsWe carried out a literature search encompassing sexual health and pandemic issues using Entrez-PubMed and Google Scholar. We reviewed the implications of the COVID-19 pandemic on sexual health regarding transmission and safe sex practices, pregnancy, dating and intimacy amid the pandemic, benefits of sex, and impact on sexual dysfunctions.ResultsCoronavirus transmission occurs via inhalation and touching infected surfaces. Currently, there is no evidence it is sexually transmitted, but there are sexual behaviors that pose a higher risk of infectivity due to asymptomatic carriers. Nonmonogamy plays a key role in transmission hubs. New dating possibilities and intimacy issues are highlighted. Sexual activity has a positive impact on the immune response, psychological health, and cognitive function and could mitigate psychosocial stressors. COVID-19 pandemic affects indirectly the sexual function with implications on overall health.ConclusionIncreased awareness of health-care providers on sexual health implications related to the COVID-19 pandemic is needed. Telemedicine has an imperative role in allowing continued support at times of lockdown and preventing worsening of the sexual, mental, and physical health after the pandemic. This is a broad overview addressing sexual issues related to the COVID-19 pandemic. As this is an unprecedented global situation, little is known on sexuality related to pandemics. Original research is needed on the topic to increase the understanding of the impact the current pandemic may have on sexual health and function. Pennanen-Iire C, Prereira-Lourenço M, Padoa A, et al. Sexual Health Implications of COVID-19 Pandemic. Sex Med Rev 2021;9:3-14.
Project description:ObjectiveThe impact of consumer-driven health plans (CDHPs) has primarily been studied in a small number of large, self-insured employers, but this work may not generalize to the wide array of firms that make up the overall economy. The goal of our research is to examine effects of health savings accounts (HSAs) on total, medical, and pharmacy spending for a large number of small and midsized firms.Data sourcesHealth plan administrative data from a national insurer were used to measure spending for 76,310 enrollees over 3 years in 709 employers. All employers began offering a HSA-eligible plan either on a full-replacement basis or alongside traditional plans in 2006 and 2007 after previously offering only traditional plans in 2005.Study designWe employ difference-in-differences generalized linear regression models to examine the impact of switching to HSAs. DATA EXTRACTION METHODS; Claims data were aggregated to enrollee-years.Principal findingsFor total spending, HSA enrollees spent roughly 5-7 percent less than non-HSA enrollees. For pharmacy spending, HSA enrollees spent 6-9 percent less than traditional plan enrollees. More of the spending decrease was observed in the first year of enrollment.ConclusionsOur findings are consistent with the notion that CDHP benefit designs affect decisions that are at the discretion of the consumer, such as whether to fill or refill a prescription, but have less effect on care decisions that are more at the discretion of the provider.
Project description:The distribution of health care payments to insurance plans has substantial consequences for social policy. Risk adjustment formulas predict spending in health insurance markets in order to provide fair benefits and health care coverage for all enrollees, regardless of their health status. Unfortunately, current risk adjustment formulas are known to underpredict spending for specific groups of enrollees leading to undercompensated payments to health insurers. This incentivizes insurers to design their plans such that individuals in undercompensated groups will be less likely to enroll, impacting access to health care for these groups. To improve risk adjustment formulas for undercompensated groups, we expand on concepts from the statistics, computer science, and health economics literature to develop new fair regression methods for continuous outcomes by building fairness considerations directly into the objective function. We additionally propose a novel measure of fairness while asserting that a suite of metrics is necessary in order to evaluate risk adjustment formulas more fully. Our data application using the IBM MarketScan Research Databases and simulation studies demonstrates that these new fair regression methods may lead to massive improvements in group fairness (eg, 98%) with only small reductions in overall fit (eg, 4%).
Project description:BackgroundBrand-name prescription drugs are an important driver of prescription drug spending, but different payers may bear these costs differentially necessitating different policy goals for each payer. But little is known about how the top 10 selling drugs in the U.S. impact spending across payers.ObjectiveTo estimate the differential spending burden of top prescription drugs on Medicaid, Medicare, commercial coverage, and out-of-pocket (OOP) spending.MethodsThe percentage of total prescription drug spending, total spending, total prescriptions, and average cost per prescription overall and for each of the following payers - Medicaid, Medicare, private insurance, and OOP - was calculated for each of the top 10 selling prescription drugs using 2017-2019 Medical Expenditure Panel Survey data.ResultsThese 10 prescription drugs accounted for average annual spending of $83.4 billion and 19.0% of all prescription drug spending. Medicare tended to contribute the highest fraction of spending. The average annual cost per prescription ranged from $500 for Advair to $7400 for Tecfidera. Significant variation in the average annual number of prescriptions filled was observed, ranging from 1.4 million for Tecfidera to 13.6 million for Lantus.ConclusionsThe findings highlight the significant impact of the top 10 selling prescription drugs on U.S. prescription drug spending. The wide variation in per prescription cost as well as contribution to each payer's prescription drug burden emphasizes how policies targeting top-selling drugs may differentially impact payers as well as how payer-specific policies may differ substantially even for top selling drugs.
Project description:Background: Little is known about the long-term mental health (MH) impact of the Covid-19 pandemic on health care workers (HCWs). However, synthesizing knowledge from past pandemics can help to anticipate this, along with identifying interventions required, when, and target populations most in need. This paper provides a balanced evaluation of what is currently known about short- and long-term MH impacts of pandemics on HCWs and effect of methodological limitations on knowledge claims. Method: A rapid evidence assessment (REA) was conducted on 41 studies published in the past two decades that examined MH outcomes for HCWs in relation to pandemics. Results: Findings of literary synthesis highlight common MH outcomes across pandemics, including increased stress, distress, burnout, and anxiety in the short-term, and post-traumatic stress and depression in the long-term. Findings also show the key role that organizations and public health bodies play in promoting adaptive coping and reducing health worries and the emotional and psychological distress caused by this. Evidence highlights particular groups at risk of developing MH issues (contact with patients that are infected, having children), and time points where risk may increase (initial response phase, when quarantined). However, inconsistencies in measures, analysis, and reporting all create limitations for pooling data. Conclusions: Findings can be used by researchers to provide a knowledge framework to inform future research that will assist HCWs in responding to pandemics, and by policy makers and service planners to provide an evidence-led brief about direction and evidence base for related policy initiatives, interventions or service programmes.