scholarly journals THU0548 THE ECONOMIC BURDEN OF ANKYLOSING SPONDYLITIS IN SPAIN. RESULTS OF THE SPANISH ATLAS 2017

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

2004 ◽  
Vol 22 (17) ◽  
pp. 3524-3530 ◽  
Author(s):  
Stella Chang ◽  
Stacey R. Long ◽  
Lucie Kutikova ◽  
Lee Bowman ◽  
Denise Finley ◽  
...  

Purpose Cancer accounts for $60.9 billion in direct medical costs and $15.5 billion for indirect morbidity costs. These estimates are derived primarily from national surveys or Federal databases. We derive estimates of the costs of cancer using administrative databases, which include claims and employment-related information on individuals insured by private or Medicare supplemental health plans. Methods A retrospective matched-cohort control analysis was performed using 1998 to 2000 databases with information on insurance claims, benefits, and health productivity for 3 million privately insured employees, their dependents, and early retirees. Study patients had new diagnoses of one of seven types of cancer (n = 12,709). Controls without cancer were matched at a 3:1 ratio by demographics. A variable follow-up length was used (maximum of 2 years). Direct costs included health care costs for patients and deductibles and copayments for caregivers. Indirect costs of work absence and short-term disability (STD) were calculated for a subgroup of cancer patients and caregivers. Results Mean monthly health care costs ranged from $2,187 for prostate cancer to $7,616 for pancreatic cancer, most often driven by hospitalization. Costs for controls were $329 per month. Indirect morbidity costs to employees with cancer averaged $945, a result of a mean monthly loss of 2.0 workdays and 5.0 STD days. Conclusion The economic burden of cancer is substantial. It is feasible to derive tumor-specific estimates of direct and indirect costs for large numbers of cancer patients using administrative databases. Policy makers charged with providing annual cost-of-cancer estimates should incorporate data obtained from a broad range of sources.


2018 ◽  
Author(s):  
Stephen Agboola ◽  
Mariana Simons ◽  
Sara Golas ◽  
Jorn op den Buijs ◽  
Jennifer Felsted ◽  
...  

BACKGROUND Half of Medicare reimbursement goes toward caring for the top 5% of the most expensive patients. However, little is known about these patients prior to reaching the top or how their costs change annually. To address these gaps, we analyzed patient flow and associated health care cost trends over 5 years. OBJECTIVE To evaluate the cost of health care utilization in older patients by analyzing changes in their long-term expenditures. METHODS This was a retrospective, longitudinal, multicenter study to evaluate health care costs of 2643 older patients from 2011 to 2015. All patients had at least one episode of home health care during the study period and used a personal emergency response service (PERS) at home for any length of time during the observation period. We segmented all patients into top (5%), middle (6%-50%), and bottom (51%-100%) segments by their annual expenditures and built cost pyramids based thereon. The longitudinal health care expenditure trends of the complete study population and each segment were assessed by linear regression models. Patient flows throughout the segments of the cost acuity pyramids from year to year were modeled by Markov chains. RESULTS Total health care costs of the study population nearly doubled from US $17.7M in 2011 to US $33.0M in 2015 with an expected annual cost increase of US $3.6M (P=.003). This growth was primarily driven by a significantly higher cost increases in the middle segment (US $2.3M, P=.003). The expected annual cost increases in the top and bottom segments were US $1.2M (P=.008) and US $0.1M (P=.004), respectively. Patient and cost flow analyses showed that 18% of patients moved up the cost acuity pyramid yearly, and their costs increased by 672%. This was in contrast to 22% of patients that moved down with a cost decrease of 86%. The remaining 60% of patients stayed in the same segment from year to year, though their costs also increased by 18%. CONCLUSIONS Although many health care organizations target intensive and costly interventions to their most expensive patients, this analysis unveiled potential cost savings opportunities by managing the patients in the lower cost segments that are at risk of moving up the cost acuity pyramid. To achieve this, data analytics integrating longitudinal data from electronic health records and home monitoring devices may help health care organizations optimize resources by enabling clinicians to proactively manage patients in their home or community environments beyond institutional settings and 30- and 60-day telehealth services.


2013 ◽  
Vol 72 (Suppl 3) ◽  
pp. A765.1-A765
Author(s):  
O. Baser ◽  
A. Burkan ◽  
E. Baser ◽  
R. Koselerli ◽  
E. Ertugay ◽  
...  

Author(s):  
Jonne T. H. Prins ◽  
Mathieu M. E. Wijffels ◽  
Sophie M. Wooldrik ◽  
Martien J. M. Panneman ◽  
Michael H. J. Verhofstad ◽  
...  

Abstract Purpose This study aimed to examine population-based trends in the incidence rate, health care consumption, and work absence with associated costs in patients with rib fractures. Methods A retrospective nationwide epidemiologic study was performed with data from patients with one or more rib fractures presented or admitted to a hospital in the Netherlands between January 1, 2015 and December 31, 2018 and have been registered in the Dutch Injury Surveillance System (DISS) or the Hospital Discharge Registry (HDR). Incidence rates were calculated using data from Statistics Netherlands. The associated direct health care costs, costs for lost productivity, and years lived with disability (YLD) were calculated using data from a questionnaire. Results In the 4-year study period, a total of 32,124 patients were registered of which 19,885 (61.9%) required hospitalization with a mean duration of 7.7 days. The incidence rate for the total cohort was 47.1 per 100,000 person years and increased with age. The mean associated direct health care costs were €6785 per patient and showed a sharp increase after the age of 75 years. The mean duration of work absence was 44.2 days with associated mean indirect costs for lost productivity of €22,886 per patient. The mean YLD was 0.35 years and decreased with age. Conclusion Rib fractures are common and associated with lengthy HLOS and work absenteeism as well as high direct and indirect costs which appear to be similar between patients with one or multiple rib fractures and mostly affected by admitted patients and age.


2012 ◽  
Vol 15 (7) ◽  
pp. A441
Author(s):  
O. Baser ◽  
A. Burkan ◽  
E. Baser ◽  
R. Koselerli ◽  
E. Ertugay ◽  
...  

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:


2012 ◽  
Vol 37 (4) ◽  
pp. 803-806 ◽  
Author(s):  
Ian Janssen

The purpose of this study was to provide a contemporary estimate of the health care cost of physical inactivity in Canadian adults. The health care cost was estimated using a prevalence-based approach. The estimated direct, indirect, and total health care costs of physical inactivity in Canada in 2009 were $2.4 billion, $4.3 billion, and $6.8 billion, respectively. These values represented 3.8%, 3.6%, and 3.7% of the overall health care costs.


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