scholarly journals Estimating Health Care Costs of Non-Melanoma Skin Cancer in Saskatchewan using Physician Billing Data

2019 ◽  
Vol 26 (2) ◽  
Author(s):  
D. A. Tran ◽  
A. C. Coronado ◽  
S. Sarker ◽  
R. Alvi

Introduction Given the high occurrence and morbidity of non-melanoma skin cancer (nmsc), its economic burden on the Canadian health care system is a cause for concern. Despite that relevance, few studies have used patient-level data to calculate the cost of nmsc. The objective of the present study was to use physician billing data to describe the health care costs and service utilization associated with nmsc in Saskatchewan.Methods The Saskatchewan Cancer Agency’s cancer registry was used to identify patients diagnosed with nmsc between 2004 and 2008. Treatment services and costs were based on physician billing claims, which detail physician services performed in an outpatient setting. Total and annual outpatient costs for nmsc and mean outpatient cost per person were calculated by skin cell type, lesion site, and geographic location. Service utilization and costs by physician specialty were also explored.Results Total outpatient costs grew 12.08% annually, to $845,954.98 in 2008 from $527,458.76 in 2004. The mean outpatient cost per person was estimated at $397.86. Differences in the cost-per-person estimates were observed when results were stratified by skin cell type ($403.41 for basal cell carcinoma vs. $377.85 for squamous cell carcinoma), lesion site ($425.27 for the face vs. $317.80 for an upper limb), and geographic location ($415.07 urban vs. $363.48 rural). Investigation of service utilization found that 92.14% of treatment was delivered by general practice and plastic surgery/otolaryngology physicians; dermatology delivered only 6.33% of services.Conclusions Our results underestimate the direct costs of nmsc because inpatient services and non-physician costs were not included in the calculations. The present research represents a first step in understanding the cost burden of nmsc in Saskatchewan.

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 514.2-514
Author(s):  
M. Merino ◽  
O. Braçe ◽  
A. González ◽  
Á. Hidalgo-Vega ◽  
M. Garrido-Cumbrera ◽  
...  

Background:Ankylosing Spondylitis (AS) is a disease associated with a high number of comorbidities, chronic pain, functional disability, and resource consumption.Objectives:This study aimed to estimate the burden of disease for patients diagnosed with AS in Spain.Methods:Data from 578 unselected patients with AS were collected in 2016 for the Spanish Atlas of Axial Spondyloarthritis via an online survey. The estimated costs were: Direct Health Care Costs (borne by the National Health System, NHS) and Direct Non-Health Care Costs (borne by patients) were estimated with the bottom-up method, multiplying the resource consumption by the unit price of each resource. Indirect Costs (labour productivity losses) were estimated using the human capital method. Costs were compared between levels of disease activity using the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) score (<4 or low inflammation versus ≥4 or high inflammation) and risk of mental distress using the 12-item General Health Questionnaire (GHQ-12) score (<3 or low risk versus ≥3 or high risk).Results:The average annual cost per patient with AS in 2015 amounted to €11,462.3 (± 13,745.5) per patient. Direct Health Care Cost meant an annual average of €6,999.8 (± 9,216.8) per patient, to which an annual average of €611.3 (± 1,276.5) per patient associated with Direct Non-Health Care Cost borne by patients must be added. Pharmacological treatment accounted for the largest percentage of the costs borne by the NHS (64.6%), while for patients most of the cost was attributed to rehabilitative therapies and/or physical activity (91%). The average annual Indirect Costs derived from labour productivity losses were €3,851.2 (± 8,484.0) per patient, mainly associated to absenteeism. All categories showed statistically significant differences (p<0.05) between BASDAI groups (<4 vs ≥4) except for the Direct Non-Healthcare Cost, showing a progressive rise in cost from low to high inflammation. Regarding the 12-item General Health Questionnaire (GHQ-12), all categories showed statistically significant differences between GHQ-12 (<3 vs ≥3), with higher costs associated with higher risk of poor mental health (Table 1).Table 1.Average annual costs per patient according to BASDAI and GHQ-12 groups (in Euros, 2015)NDirect Health CostsDirect Non-Health CostsIndirect CostsTotal CostBASDAI<4917,592.0*557.32,426.5*10,575.8*≥43769,706.9*768.05,104.8*15,579.7*Psychological distress (GHQ-12)<31468,146.8*493.6*3,927.2*12,567.6*≥32609,772.9*807.2*4,512.3*15,092.5*Total5786,999.8611.33,851.211,462.3* p <0.05Conclusion:Direct Health Care Costs, and those attributed to pharmacological treatment in particular, accounted for the largest component of the cost associated with AS. However, a significant proportion of the overall costs can be further attributed to labour productivity losses.Acknowledgments:Funded by Novartis Farmacéutica S.A.Disclosure of Interests:María Merino: None declared, Olta Braçe: None declared, Almudena González: None declared, Álvaro Hidalgo-Vega: None declared, Marco Garrido-Cumbrera: None declared, Jordi Gratacos-Masmitja Grant/research support from: a grant from Pfizzer to study implementation of multidisciplinary units to manage PSA in SPAIN, Consultant of: Pfizzer, MSD, ABBVIE, Janssen, Amgen, BMS, Novartis, Lilly, Speakers bureau: Pfizzer, MSD, ABBVIE, Janssen, Amgen, BMS, Novartis, Lilly


PEDIATRICS ◽  
1976 ◽  
Vol 58 (5) ◽  
pp. 772-772
Author(s):  
Richard M. Narkewicz

In these days of rising health care costs, the finger has been pointed at physicians as the cause of these increases. Because of these charges each physician should look critically at his own fee structure and try to compare it with other commodities in today's budgets. I have done just that. In totaling the cost of complete well-child care for a child and continuing care through the age of 20 years, I was surprised to find that in the present fee structure it costs a family $464.25.


PEDIATRICS ◽  
1980 ◽  
Vol 65 (1) ◽  
pp. 168-170
Author(s):  
Stephen M. Davidson ◽  
John P. Connelly ◽  
R. Don Blim ◽  
James E. Strain ◽  
H. Doyl Taylor

The National Commission on the Cost of Medical Care1 states in part (Recommendation 2) that "insurance policies should include provisions through which the consumer shares in the cost of care received, at the time of service, for selected benefits and for selected groups...." These cost-sharing provisions are expected to reduce national medical care expenditures by encouraging consumers to reduce their use of services in order to avoid paying additional money out of their own pockets. They will thus moderate the demand-inducing tendency of insurance, leading the rational consumer to seek only necessary services and to forego those services contributing to what is believed to be over-utilization. As the Commission states in its supporting statement:


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4753-4753
Author(s):  
Jennifer J. Wilkes ◽  
Gary H. Lyman ◽  
David R Doody ◽  
Shasank R Chennupati ◽  
Laura Becker ◽  
...  

Introduction: CML accounts for 15-20% of leukemias. Tyrosine kinase inhibitor (TKI) therapy has led to significant improvement in survival rates, approaching the life expectancy of the general public in some settings, with less than three life years lost in a recent Swedish registry study.[1] Understanding cost associated with CML care compared to HEM in the setting of long-term survival on prolonged therapy can aid with resource allocation and clinical decision making. Methods: A retrospective cohort was constructed from OptumLabs® Data Warehouse using claims data between 2000-16. Eligible patients had ≥2 claims for CML and were continuously enrolled for ≥6m prior to diagnosis and ≥1y afterwards. CML patients were compared with HEM and general patients without history of cancer (GEN). As the CML group was the primary group of interest, the HEM and GEN groups were each frequency-matched on an approximate 4:1 ratio to the CML group on the basis of age (10-year increments), sex, year of diagnosis (3-year increments), geographic region (10 US census divisions), and insurance (commercial vs. Medicare Advantage). Follow-up data were available for this analysis through October 31, 2017. The primary outcome was total mean annualized health care costs including medical and outpatient drugs paid by health plan and patient (inflation adjusted to 2017). We used generalized linear models (GLM) to assess the variation in total costs in the three cohorts, using a gamma distribution and a log link. Models were adjusted for frequency-matched factors (sex, age, year of diagnosis, geographic region, insurance). Within the CML cohort, GLM was also used to examine the influence of factors hypothesized to be associated with costs: sex, age at index year, index year, race/ethnicity, insurance, modified Charlson comorbidity index, percent (%) days with TKI prescription, stem cell transplant, and number of inpatient and ambulatory days per year. Results: We identified 1909 enrollees with CML; mean diagnosis age 56y. They were matched with 7,268 HEM patients and 7,636 GEN patients. Mean annualized costs for CML were $82,054, $25,000 more than HEM and approximately $75,000 more than GEN (p<0.001 in 3-way and pairwise comparisons; Table 1). This difference persisted after multivariate adjustment, with cost $25,471 higher in the CML population versus the HEM (95% CI: $20,808 to 30,133). Costs for CML care increased over each 5-year diagnostic interval until 2015 ($64,158 in 2000-04, peaking at $91,990 in 2010-14) (Table 1). Following index date, the trend in costs differ by cancer with HEM costs decreasing after the first six months post index date (Figure 1). In multivariable analysis, % days on a tyrosine kinase inhibitor had the greatest influence on cost among CML treatment factors. After adjustment for additional demographic and treatment factors, there was an association with increased cost by percent of days on a TKI (trend p<0.001); for those with 75% of days on a TKI, the cost was $110,790 more than those without TKIs. Other factors associated with cost included receipt of stem cell transplant compared to no transplant ($55,549, 95% CI: $30,077 to 81,021), greater number of inpatient days ($148,664 for greater than 7 days versus none, 95% CI: $120,628 to 176,699) and greater number of ambulatory visits (20+ visits in one year versus <5, $62,255, 95% CI $52,969 to 71,541) Conclusions: Contemporary CML costs exceed the cost of treatment for other hematologic malignancies. This is primarily driven by the use of TKIs. The plateau in CML costs in those diagnosed between 2015-16 needs further evaluation for associations with TKI availability and the introduction of generics. [1] Bower H et al. JCO 2016 Aug 20; 34(24):2851-7 Disclosures Lyman: G1 Therapeutics, Halozyme Therapeutics, Partners Healthcare, Hexal, Bristol-Myers Squibb, Helsinn Therapeutics, Amgen Inc., Pfizer, Agendia, Genomic Health, Inc.: Consultancy; Generex Biotechnology: Membership on an entity's Board of Directors or advisory committees; Janssen Scientific Affairs, LLC: Research Funding; Amgen Inc.: Other: Research support, Research Funding.


2017 ◽  
Vol 11 (6) ◽  
pp. 137-151 ◽  
Author(s):  
Людмила Горшкова ◽  
Lyudmila Gorshkova

Assessing the effectiveness of health care expenditure is a major economic task. The most important indicator to assess the effectiveness of health care costs is the expected life expectancy (ELE). Infant mortality is also closely related to DLE. The article substantiates the logarithmic model of the dependence of ELE from health care expenditure (per person for a particular year). Each country is represented by a point on the coordinate plane with an ordinate equal to the ELE in this country and an abscissa equal to the health care expenditure in it. The modeling logarithmic curve is taken as the theoret-ical threshold of the cost-effectiveness: the higher the curve is the point repre-senting the country, the more effective the health care costs in this country, and the lower the threshold curve, the costs are more unprofitable. It is shown that the dependence of ELE from GDP (or GRP by regions of Russia) is not so obvious: although there is a tendency to such a dependence, but with a large number of drop-out values. Despite the achievement of the highest average expected life expectancy in Russia in the country's history, it is significantly lower than in developed countries. The main causes of low expected life expectancy at birth are unsatisfactory health indicators, and as a result, high incidence and disability. Traumatism on the roads and suicides are one of the significant reasons for the low expected life expectancy in Russia and are significantly higher than similar indicators in other countries. The article shows the close correlation between the cost of health care per person and expected life expectancy. However, in the Russian Federation, the share of public expenditure in the structure of aggregate health expenditure is decreasing. Social insurance funds are more than half of the health care public expenditure. The author reveals considerable regional differences in health spending per person and average expected life expectancy. The article highlights the insufficient level of health care costs in Russia as a whole and in regions.


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Heesun Eom ◽  
Stella S Yi ◽  
Daniel Bu ◽  
Rienna Russo ◽  
Brandon Bellows ◽  
...  

Background: Low fruit and vegetable (FV) consumption is considered one of the leading causes of deteriorating health outcomes, and has been linked to obesity, diabetes, and cardiovascular disease. Yet, few adults in New York City (NYC) consume the daily recommended amounts. In order to address the need for fresh and affordable fruits and vegetables, the NYC Department of Health and Mental Hygiene has implemented the “Health Bucks” program, which provides low-income population with coupons that can be used to purchase fruits and vegetetabls. Previous studies have shown the impact of the Health Bucks program on fruit and vegetable consumption; however, it is unclear how the program would influence cardiovascular health and the associated health care costs in the long term. Objective: To estimate the health and economic impact of the Health Bucks program using a validated microsimulation model of cardiovascular disease (CVD) in NYC. Methods: We used the Simulations for Health Improvement and Equity (SHINE) CVD Model to estimate the impact of the Health Bucks program on lifetime CVD events and direct medical costs (2019 USD). We considered different program strengths by assuming the program can reduce the cost of fruits and vegetables by 20%, 30%, and 40%. Population characteristics were estimated based on data from the 2013-2014 NYC Health and Nutrition Examination Survey. CVD risk factor trajectories and risk of incident CVD events were derived from six pooled longitudinal US cohorts. Policy effects were derived from the literature. We run 1,000 simulations to account for uncertainties in the parameter. We discounted costs by 3% and reported health care costs in 2019 dollars. Results: A Health Bucks program that can reduce the cost of fruits and vegetables by 20%, 30%, and 40% would prevent 2,690 (95% CI: -14,793, 20,173), 27,386 (95% CI: 9,967, 44,805), and 50,014 (95% CI: 15,227, 50,014) coronary heart disease events, respectively, over the simulated lifetimes of the NYC population. The program would also prevent 47,469 (95% CI: 35,008, 59,931), 59,127 (95% CI: 46,676, 71,579), and 85,359 (95% CI: 72,902, 97,815) stroke events based on the price reduction level. The program would result in savings in health care costs, ranged from $937 million to $1.8 billion based on the price reduction level over the lifetime or from $19 million to $37 million annually. Conclusions: We projected that the Health Bucks program could prevent a significant number of CVD events among adults in NYC and yield substantial health care cost savings. Public health practitioners and policymakers may consider adopting this program in other locations.


Author(s):  
Joseph White

All advanced industrial countries socialize most health care costs because their citizens view relatively equal access to such care as a mark of a decent society. This makes the costs of health care a policy issue, because governments need to relate costs to revenues, and there are limits to the willingness of citizens, especially wealthier citizens, to pay for others....


2017 ◽  
Vol Volume 9 ◽  
pp. 55-62 ◽  
Author(s):  
Jane K Naberhuis ◽  
Vivienne Hunt ◽  
Jvawnna Bell ◽  
Jamie Partridge ◽  
Scott Goates ◽  
...  

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