Cost of Illness of Epilepsy in the US: Comparison of Patient-Based and Population-Based Estimates

Abstract In 2020, ~1.8 million Americans are expected to be newly diagnosed with cancer, with approximately 70% of cases diagnosed over the age of 65. Cancer can have a ripple effect, impacting not just patients themselves, but their family caregivers. This presentation will provide an overview of the estimates of the number of family caregivers caring for individuals with cancer in the US, focusing on older patients, from several population-based data sources: Caregiving in the US 2020, the Health Information National Trends Survey (HINTS, 2017-2019), the Behavioral Risk Factors Surveillance System (BRFSS, 2015-2019), and the National Health and Aging Trends (NHATS) Survey. The presentation will compare features of the data sources to give a comprehensive picture of the state of cancer caregiving. In addition, the presentation will highlight what is known about the experiences of cancer caregivers, including caregiving characteristics, burden, unmet needs, and ideas for improving support for family caregivers.

Download Full-text

The estimated healthcare cost of diabetic retinopathy in Indonesia and its projection for 2025

British Journal of Ophthalmology ◽

10.1136/bjophthalmol-2019-313997 ◽

2019 ◽

Vol 104 (4) ◽

pp. 487-492 ◽

Cited By ~ 4

Author(s):

Muhammad Bayu Sasongko ◽

Firman Setya Wardhana ◽

Gandhi Anandika Febryanto ◽

Angela Nurini Agni ◽

Supanji Supanji ◽

...

Keyword(s):

Diabetic Retinopathy ◽

Laser Treatment ◽

Healthcare Cost ◽

Cost Of Illness ◽

Public Health Intervention ◽

Transportation Cost ◽

Population Based ◽

State Budget ◽

Illness Model ◽

The Cost

PurposeTo estimate the total healthcare cost associated with diabetic retinopathy (DR) in type 2 diabetes in Indonesia and its projection for 2025.MethodsA prevalence-based cost-of-illness model was constructed from previous population-based DR study. Projection for 2025 was derived from estimated diabetes population in 2025. Direct treatment costs of DR were estimated from the perspective of healthcare. Patient perspective costs were obtained from thorough interview including only transportation cost and lost of working days related to treatment. We developed four cost-of-illness models according to DR severity level, DR without necessary treatment, needing laser treatment, laser +intravitreal (IVT) injection and laser + IVT +vitrectomy. All costs were estimated in 2017 US$.ResultsThe healthcare costs of DR in Indonesia were estimated to be $2.4 billion in 2017 and $8.9 billion in 2025. The total cost in 2017 consisted of the cost for no DR and mild–moderate non-proliferative DR (NPDR) requiring eye screening ($25.9 million), severe NPDR or proliferative DR (PDR) requiring laser treatment ($0.25 billion), severe NPDR or PDR requiring both laser and IVT injection ($1.75 billion) and advance level of PDR requiring vitrectomy ($0.44 billion).ConclusionsThe estimated healthcare cost of DR in Indonesia in 2017 was considerably high, nearly 2% of the 2017 national state budget, and projected to increase significantly to more than threefold in 2025. The highest cost may incur for DR requiring both laser and IVT injection. Therefore, public health intervention to delay or prevent severe DR may substantially reduce the healthcare cost of DR in Indonesia.

Download Full-text

Risk and risk perception of knee osteoarthritis in the US: a population-based study

Osteoarthritis and Cartilage ◽

10.1016/j.joca.2015.11.001 ◽

2016 ◽

Vol 24 (4) ◽

pp. 593-596 ◽

Cited By ~ 9

Author(s):

G.L. Michl ◽

J.N. Katz ◽

E. Losina

Keyword(s):

Risk Perception ◽

Knee Osteoarthritis ◽

Population Based ◽

Population Based Study ◽

The Us

Download Full-text

The Impact of In-group Favoritism on Trade Preferences

International Organization ◽

10.1017/s0020818317000327 ◽

2017 ◽

Vol 71 (4) ◽

pp. 827-850 ◽

Cited By ~ 28

Author(s):

Diana C. Mutz ◽

Eunji Kim

Keyword(s):

Well Being ◽

Population Based ◽

Trading Partner ◽

Relative Advantage ◽

Trade Policies ◽

Partner Country ◽

The Us ◽

Trade Preferences ◽

The Impact

AbstractUsing a population-based survey experiment, this study evaluates the role of in-group favoritism in influencing American attitudes toward international trade. By systematically altering which countries gain or lose from a given trade policy (Americans and/or people in trading partner countries), we vary the role that in-group favoritism should play in influencing preferences.Our results provide evidence of two distinct forms of in-group favoritism. The first, and least surprising, is that Americans value the well-being of other Americans more than that of people outside their own country. Rather than maximize total gains, Americans choose policies that maximize in-group well-being. This tendency is exacerbated by a sense of national superiority; Americans favor their national in-group to a greater extent if they perceive Americans to be more deserving.Second, high levels of perceived intergroup competition lead some Americans to prefer trade policies that benefit the in-group and hurt the out-group over policies that help both their own country and the trading partner country. For a policy to elicit support, it is important not only that the US benefits, but also that the trading partner country loses so that the US achieves a greater relative advantage. We discuss the implications of these findings for understanding bipartisan public opposition to trade.

Download Full-text

Authors’ response: Mushroom intake and depression: A population-based study using data from the US National Health and Nutrition Examination Survey (NHANES), 2005–2016

Journal of Affective Disorders ◽

10.1016/j.jad.2021.09.047 ◽

2021 ◽

Author(s):

Djibril M. Ba ◽

Xiang Gao ◽

Laila Al-Shaar ◽

Joshua Muscat ◽

Vernon Chinchilli ◽

...

Keyword(s):

National Health ◽

Population Based ◽

Nutrition Examination Survey ◽

Population Based Study ◽

Health And Nutrition ◽

The Us ◽

Using Data

Download Full-text

Abstract P256: Association Between Antidepressants Use and Intracerebral Hemorrhage: Florida Stroke Registry

Stroke ◽

10.1161/str.52.suppl_1.p256 ◽

2021 ◽

Vol 52 (Suppl_1) ◽

Author(s):

Mithilesh Siddu ◽

Antonio Bustillo ◽

Carolina M Gutierrez ◽

Kefeng Wang ◽

Hannah Gardener ◽

...

Keyword(s):

Intracerebral Hemorrhage ◽

Oral Anticoagulants ◽

Large Population ◽

Multivariable Analysis ◽

Population Based ◽

Prior History ◽

Stroke Registry ◽

The Us ◽

History Of ◽

Antidepressant Use

Introduction: SSRIs, the most commonly prescribed antidepressants (AD) in the US, are linked to an increased intracerebral hemorrhage (ICH) risk possibly related to impaired platelet function. In the Florida Stroke Registry (FSR), we studied the proportion of cases presenting with ICH amongst AD users and the rate of SSRI prescription amongst stroke patients discharged on AD. Methods: From Jan 2010 to Dec 2019 we included 127,915 cases from FSR in whom information on AD use was available. Multivariable logistic regression was used to evaluate ICH proportions amongst AD and non-AD users and rates of prescribed SSRIs at discharge. Results: The rate of ICH amongst prior AD users (n=17,009, median age 74, IQR=19) and non-AD users (n=110,906, median age 72, IQR=21) were 11% and 14% respectively. Prior AD users were more likely to be female (17% vs. 10% male), non-Hispanic White (16% vs. 8% non-Hispanic Black vs. 12% Florida Hispanic vs. 6% Puerto Rican Hispanic), have hypertension (HTN) (14.% vs. 10%), diabetes mellitus (DM) (16% vs.12%), use oral anticoagulants (OAC) (17 % vs. 13%), antiplatelets (AP; 17% vs. 11%), and statins (17% vs. 10%) prior to hospital presentation. In multivariable analysis adjusting for age, race, prior history of HTN, DM, prior OAC, AP and statin use, AD users just as likely to present with spontaneous ICH as compared to non-AD users (OR=0.92, 95% CI 0.85, 1.01). A total of 3.4% of all ICH patients and 9% of those in whom AD information was available were discharged home on an AD (74 % SSRI, 24% other AD). Conclusion: In this large population-based study, we did not find an association between prior AD use and an increased rate of ICH. Importantly AD (mostly SSRIs) are commonly prescribed to patients with ICH in routine clinical practice. The association between types, duration, and safety of antidepressant use in ICH patients deserves further studies.

Download Full-text

Population-Based Incidence Of Influenza-Associated Respiratory Failure Hospitalizations In The US West Coast, 2003 To 2008

10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a1795 ◽

2012 ◽

Author(s):

Justin R. Ortiz ◽

Tessa C. Rue ◽

Kathleen M. Neuzil ◽

Christopher H. Goss

Keyword(s):

Respiratory Failure ◽

West Coast ◽

Population Based ◽

The Us ◽

Us West

Download Full-text

Body Mass Index and Depressive Symptoms: Testing for Adverse and Protective Associations in Two Twin Cohort Studies

Twin Research and Human Genetics ◽

10.1017/thg.2016.14 ◽

2016 ◽

Vol 19 (4) ◽

pp. 306-311 ◽

Cited By ~ 7

Author(s):

Markus Jokela ◽

Venla Berg ◽

Karri Silventoinen ◽

G. David Batty ◽

Archana Singh-Manoux ◽

...

Keyword(s):

Body Mass Index ◽

Depressive Symptoms ◽

Cohort Studies ◽

Body Mass ◽

Genetic Model ◽

The United States ◽

Population Based ◽

The Us ◽

Mz Twins ◽

Pair Analysis

Studies have suggested both adverse and protective associations of obesity with depressive symptoms. We examined the contribution of environmental and heritable factors in this association. Participants were same-sex twin pairs from two population-based twin cohort studies, the Older Finnish Twin Cohort (n = 8,215; mean age = 44.1) and the US Midlife Development in the United States (MIDUS; n = 1,105; mean age = 45.1). Body mass index (BMI) was calculated from self-reported height and weight. Depressive symptoms were assessed using Beck's Depression Inventory (BDI; Finnish Twin Cohort), and by negative and positive affect scales (MIDUS). In the Finnish Twin Cohort, higher BMI was associated with higher depressive symptoms in monozygotic (MZ) twins (B = 2.01, 95% CI = 1.0, 3.0) and dizygotic (DZ) twins (B = 1.17, 0.5, 1.9) with BMI >22. This association was observed in within-pair analysis in DZ twins (B = 1.47, CI = 0.4, 2.6) but not in within-pair analysis of MZ twins (B = 0.03, CI = -1.9, 2.0). Consistent with the latter result, a bivariate genetic model indicated that the association between higher BMI and higher depressive symptoms was largely mediated by genetic factors. The results of twin-pair analysis and bivariate genetic model were replicated in the MIDUS sample. These findings suggest an association between obesity and higher depressive symptoms, which is largely explained by shared heritable biological mechanisms.

Download Full-text