1
|
Pourkhajoei S, Goudarzi R, Amiresmaeili M, Nakhaee N, Yazdi-Feyzabadi V. Estimation of economic burden of high salt intake in cardiovascular disease attributed to hypertension in Iran. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2025; 23:21. [PMID: 40394617 PMCID: PMC12090608 DOI: 10.1186/s12962-025-00631-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2024] [Accepted: 05/06/2025] [Indexed: 05/22/2025] Open
Abstract
BACKGROUND Excessive salt consumption is a significant risk factor for the development of cardiovascular disease (CVD) attributed to hypertension, major contributors to mortality in Iran. This study aims to estimate the economic burden of high salt consumption on CVD attributed to hypertension in Iran in 2022. METHODS The cross-sectional research was conducted in public and private hospitals in the southeast of Iran. The costs of CVD patients attributed to hypertension (ICD I10-I15) were estimated using a prevalence-based and bottom-up approach from society's perspective classifying costs into direct and social Costs of disease management. The indirect costs of productivity losses were quantified using the human capital approach. Sensitivity analysis was employed to investigate the effect of uncertain parameters. RESULTS The mean cost per CVD patient was US$1392.48, with an estimated total economic burden of US$980.61 million in Iran. Direct costs constituted 44.47% of the total disease burden, while social costs accounted for 55.53%. The results were robust, with a 20% variation in the average unit price of all direct medical and non-medical costs. CONCLUSION The study highlights the substantial economic burden of high salt consumption on CVD attributable to hypertension in Iran, amounting to 3.25 times current health expenditures per capita and 0.27 times GDP per capita in 2022. Indirect costs, including productivity losses, surpass direct costs, underscoring the broader societal impact. Sensitivity analysis confirms the robustness of results, emphasizing the urgent need for preventive measures and resource allocation. Policymakers are encouraged to prioritize salt reduction programs to mitigate costs, enhance patient care, and promote long-term economic and health benefits.
Collapse
Affiliation(s)
- Sirous Pourkhajoei
- Faculty of Management and Medical Information Sciences, Department of Health Management, Policy and Economics, Kerman University of Medical Sciences Kerman, Kerman, Iran
| | - Reza Goudarzi
- Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Mohammadreza Amiresmaeili
- Health in Disasters and Emergencies Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences Kerman, Kerman, Iran
| | - Nouzar Nakhaee
- Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Vahid Yazdi-Feyzabadi
- Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
| |
Collapse
|
2
|
Maclagan LC, Emdin A, Fu L, Guan J, de Oliveira C, Marras C, Bronskill SE. Net Health System Costs of Parkinson Disease: A Propensity Score-Matched Health Administrative Data Cohort Study in Ontario, Canada. Neurol Clin Pract 2025; 15:e200371. [PMID: 39399554 PMCID: PMC11464220 DOI: 10.1212/cpj.0000000000200371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 06/13/2024] [Indexed: 10/15/2024]
Abstract
Background and Objectives Few estimates of the long-term health system costs of Parkinson disease by phase of disease are available. We estimated 10-year and phase-based net health system costs of Parkinson disease before and after case ascertainment. Methods Using population-based linked administrative databases from Ontario, Canada, we identified 43,149 community-dwelling persons with incident Parkinson disease aged 40 years and older between 2009 and 2018 using a validated algorithm. These individuals were matched 1:1 to controls without Parkinson disease based on demographics and a propensity score. We calculated phase-based, net health system costs from the provincial government perspective during the preascertainment (3 years before index), initial (1 year after index), early continuing (>1-6 years after index), later continuing (>6-10 years after index), and terminal (1 year before death, if applicable) phases (standardized to 2020 $CAD and calculated on an annual basis). By applying survival probabilities to monthly cost estimates, we also determined 10-year net health system costs, stratified by sex and age. Results Annual mean net costs of Parkinson disease were lowest in the preascertainment phase ($212 CAD, 95% CI [$20-$404]), intermediate in the initial phase ($4,576 (95% CI [$4,217-$4,935]), and higher in the early continuing phase ($7,078, 95% CI [$6,717-$7,438]). The later continuing phase ($12,500, 95% CI [$12,060-$12,940]) and the terminal phase ($13,933, 95% CI [$13,123-$14,743]) showed the highest costs. The 10-year net cost of Parkinson disease was $82,153 (95% CI [$77,965-$86,341]) and was significantly higher in women ($89,773, 95% CI [$83,306-$96,240]) than in men ($76,469, 95% CI [$70,983-$81,953]) and older individuals ($92,197, 95% CI [$87,087-$97,307]), compared with younger individuals ($62,580, 95% CI [$55,346-$69,814]). Over the 10-year period, hospital, nursing home, and home care were the largest contributors to costs of Parkinson disease. Discussion Health system costs of Parkinson disease are substantial, particularly in the later phases. Interventions to reduce avoidable use of hospital and nursing home services by persons living with Parkinson disease may provide better quality of life and be cost saving from the health system perspective.
Collapse
Affiliation(s)
- Laura C Maclagan
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Abby Emdin
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Longdi Fu
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Jun Guan
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Claire de Oliveira
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Connie Marras
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Susan E Bronskill
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| |
Collapse
|
3
|
Torres GF, Alarcón BA, Reyes-Sanchez JM, Castaño-Gamboa N, Buitrago G. Net costs of breast cancer in Colombia: a cost-of-illness study based on administrative claims databases. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2024; 22:54. [PMID: 38956674 PMCID: PMC11218325 DOI: 10.1186/s12962-024-00562-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 06/24/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Breast Cancer (BC) is associated with substantial costs of healthcare; however, real-world data regarding these costs in Colombia is scarce. The contributory regime provides healthcare services to formal workers and their dependents and covers almost half of the population in Colombia. This study aims to describe the net costs of healthcare in women with BC covered by the contributory regime in Colombia in 2019 from the perspective of the Colombian Health System. METHODS The main data source was the Capitation Sufficiency Database, an administrative database that contains patient-level data on consumption of services included in the National Formulary (PBS, in Spanish Plan de Beneficios en Salud). Data on consumption of services not included in the PBS (non-PBS) were calculated using aggregated data from MIPRES database. All direct costs incurred by prevalent cases of BC, from January 1 to December 31, 2019, were included in the analysis. The net costs of the disease were estimated by multiplying the marginal cost and the expected number of cases with BC by region and age group. Marginal costs were defined as the costs of services delivered to patients with BC after subtracting the expected costs of health services due to age, comorbidity burden or region of residence. To calculate these costs, we used Propensity Score Matching in the main analysis. All costs were expressed in 2019 international dollars. Productivity losses, transportation expenses, and caregiving costs were not included. RESULTS A total of 46,148 patients with BC were identified. Total net costs were $387 million (95% CI $377 to $396 million), 60% associated with non-PBS services. Marginal costs were $8,366 (95% Confidence Interval $8,170 to $8,573), with substantial variations between regions age groups (from $3,919 for older patients in the Amazonia region to $10,070 for younger patients in the Pacific region). The costs for PBS services were higher for ambulatory services and for patients who died during 2020. CONCLUSIONS BC imposes a substantial economic burden for the Colombian Health System with important variations in net costs between regions and age groups. Patients near death and ambulatory services were associated with higher costs of healthcare.
Collapse
Affiliation(s)
- Gabriel Fernando Torres
- Instituto de Investigaciones Clínicas, Universidad Nacional de Colombia, Carrera 45 # 26-85, Bogotá, 111321, Colombia.
| | | | | | | | - Giancarlo Buitrago
- Instituto de Investigaciones Clínicas, Universidad Nacional de Colombia, Carrera 45 # 26-85, Bogotá, 111321, Colombia
- Hospital Universitario Nacional, Calle 44 # 59-75, Bogotá, 111321, Colombia
| |
Collapse
|
4
|
Summers JA, Wilson N, Blakely T, Sigglekow F. Disease-Related Loss to Government Funding: Longitudinal Analysis of Individual-Level Health and Tax Data for an Entire Country. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2023; 26:170-175. [PMID: 36127245 DOI: 10.1016/j.jval.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVES The objective of this longitudinal analysis was to estimate funding loss in terms of tax revenue to the New Zealand (NZ) government from disease and injury among working age adults. METHODS Linked national health and tax data sets of the usually resident population between 2006 and 2016 were used to model 40 disease states simultaneously in a fixed-effects regression analysis to estimate population-level tax loss from disease and injury. To estimate tax revenue loss to the NZ government, we modeled a counterfactual scenario where all disease/injury was cause deleted. RESULTS The estimated tax paid by all 25- to 64-year-olds in the eligible NZ population was $15 773 million (m) per annum (US dollar 2021), or $16 446 m for a counterfactual as though no one had any disease disease-related income loss (a 4.3% or $672.9 m increase in tax revenue per annum). The disease that-if it had no impact on income-generated the greatest impact was mental illness, contributing 34.7% ($233.3 m) of all disease-related tax loss, followed by cardiovascular (14.7%, $99.0 m) and endocrine (10.2%, $68.8 m). Tax revenue gains after deleting all disease/injury increased up to 65 years of age, with the largest contributor occurring among 60- to 64-year-olds ($131.7 m). Varied results were also observed among different ethnicities and differing levels of deprivation. CONCLUSIONS This study finds considerable variation by disease on worker productivity and therefore tax revenue in this high-income country. These findings strengthen the economic and government case for prevention, particularly the prevention of mental health conditions and cardiovascular disease.
Collapse
Affiliation(s)
- Jennifer A Summers
- BODE(3) Programme, University of Otago, Wellington, Wellington, New Zealand.
| | - Nick Wilson
- BODE(3) Programme, University of Otago, Wellington, Wellington, New Zealand
| | - Tony Blakely
- Population Interventions, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Finn Sigglekow
- BODE(3) Programme, University of Otago, Wellington, Wellington, New Zealand
| |
Collapse
|
5
|
Baltzer HL, Hawker G, Pequeno P, Victor JC, Krahn M. A population-based study of the direct longitudinal health care costs of upper extremity trauma in patients aged 18-65 years. CMAJ Open 2023; 11:E13-E23. [PMID: 36627128 PMCID: PMC9842100 DOI: 10.9778/cmajo.20210118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Upper extremity (UE) trauma represents a common reason for emergency department visits, but the longitudinal economic burden of this public health issue is unknown. This study assessed the 3-year attributable health care use and expenditure after UE trauma requiring acute surgical intervention, with specific focus on injuries that affect function of the hand and wrist. METHODS We conducted an incidence-based, propensity score-matched cohort study (2006-2014) in Ontario, Canada, using linked administrative health care data to identify case patients and matched control patients. We matched adults with hand, wrist and UE nerve trauma requiring surgery 1:4 to control patients. We compared total direct health care costs, including 1-year pre-index costs, between case and control patients using a differences-in-difference methodology. The primary outcome was attributable health care costs within 3 years of injury. RESULTS We matched patients with trauma (n = 26 123) to noninjured patients (n = 104 353). Mean direct health care costs attributable to UE trauma were $9210 (95% confidence interval [CI] 8880 to 9550) within 3 years. Patients with trauma had significantly more emergency department visits (≥ 3 visits: 25% v. 12%; p < 0.001), mental health visits (34% v. 28%; p < 0.05) and secondary surgeries (25% v. 5%; p < 0.001). Specific patient populations had significantly greater attributable costs: patients requiring post-traumatic mental health visits ($11 360 v. $7090; p < 0.001), inpatient surgery ($14 060 v. $5940, p < 0.001) and complex injuries ($13 790 v. $7930; p < 0.001). INTERPRETATION Health care expenditure increased more than fivefold in the year after UE trauma surgery and remained greater than the matched cohort for the subsequent 2 years. Those with more serious injuries and post-injury visits for mental health were associated with higher costs, requiring further study for this public health issue. The mean 1-year pre-injury and 1-year post-injury total costs were $1710 and $9350, respectively.
Collapse
Affiliation(s)
- Heather L Baltzer
- Department of Surgery (Baltzer), University of Toronto; University Health Network (Baltzer); Women's College Research Institute (Hawker); Institute of Health Policy, Management and Evaluation (Hawker, Victor), University of Toronto; ICES Central (Pequeno, Victor, Krahn); Toronto Health Economics and Technology Assessment Collaborative (Krahn, Baltzer), University of Toronto, Toronto, Ont.
| | - Gillian Hawker
- Department of Surgery (Baltzer), University of Toronto; University Health Network (Baltzer); Women's College Research Institute (Hawker); Institute of Health Policy, Management and Evaluation (Hawker, Victor), University of Toronto; ICES Central (Pequeno, Victor, Krahn); Toronto Health Economics and Technology Assessment Collaborative (Krahn, Baltzer), University of Toronto, Toronto, Ont
| | - Priscila Pequeno
- Department of Surgery (Baltzer), University of Toronto; University Health Network (Baltzer); Women's College Research Institute (Hawker); Institute of Health Policy, Management and Evaluation (Hawker, Victor), University of Toronto; ICES Central (Pequeno, Victor, Krahn); Toronto Health Economics and Technology Assessment Collaborative (Krahn, Baltzer), University of Toronto, Toronto, Ont
| | - J Charles Victor
- Department of Surgery (Baltzer), University of Toronto; University Health Network (Baltzer); Women's College Research Institute (Hawker); Institute of Health Policy, Management and Evaluation (Hawker, Victor), University of Toronto; ICES Central (Pequeno, Victor, Krahn); Toronto Health Economics and Technology Assessment Collaborative (Krahn, Baltzer), University of Toronto, Toronto, Ont
| | - Murray Krahn
- Department of Surgery (Baltzer), University of Toronto; University Health Network (Baltzer); Women's College Research Institute (Hawker); Institute of Health Policy, Management and Evaluation (Hawker, Victor), University of Toronto; ICES Central (Pequeno, Victor, Krahn); Toronto Health Economics and Technology Assessment Collaborative (Krahn, Baltzer), University of Toronto, Toronto, Ont
| |
Collapse
|
6
|
McGarvey N, Gitlin M, Fadli E, Chung KC. Increased healthcare costs by later stage cancer diagnosis. BMC Health Serv Res 2022; 22:1155. [PMID: 36096813 PMCID: PMC9469540 DOI: 10.1186/s12913-022-08457-6] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 08/12/2022] [Indexed: 11/10/2022] Open
Abstract
Background Cancer represents a significant source of disease burden in the United States (US), both clinically and economically. Diagnosis and treatment of cancer at earlier stages may reduce this burden. To better understand potential impacts of earlier diagnosis, healthcare costs among patients with cancer were assessed by cancer type and stage at diagnosis. Methods A retrospective analysis was conducted using Optum’s de-identified Integrated Claims-Clinical data set with Enriched Oncology, which includes data from Medicare Advantage and commercially insured members. Adult members newly diagnosed with solid tumor cancers, cancer stage at diagnosis (diagnosed 1/1/2016–6/30/2020), and continuous enrollment for at least one month post diagnosis were identified. Patients with breast, cervical, colorectal, lung, ovarian, or prostate cancer were reported. Mean standardized costs (2020 USD) were calculated in each month on an annual and cumulative basis through four years post-cancer diagnosis. In each month, costs were calculated for those with continuous enrollment and no death reported in the month. Mean annual cost per patient was estimated by summing month one to 12 mean costs and stratifying by stage at cancer diagnosis; annual year one to four costs were summed to determine cumulative costs. Results Among members diagnosed 2016–2020 with breast, cervical, colorectal, lung, ovarian, or prostate cancer, 20,422 eligible members were identified. Mean costs increased by stage of diagnosis across all cancers at the annual and cumulative level through year four post diagnosis. Cumulative mean costs grew over time at a relatively similar rate across stages I to III and more dramatically in stage IV, except for cervical and lung cancer where the rate was relatively stable or slightly fluctuated across stages and ovarian cancer where stages III and IV both increased more sharply compared to stages I and II. Conclusions Mean annual and cumulative healthcare costs through year four post cancer diagnosis were significantly higher among those diagnosed at later versus earlier cancer stages. The steeper increase in cumulative costs among those diagnosed in stage IV for many cancer types highlights the importance of earlier cancer diagnosis. Earlier cancer diagnosis may enable more efficient treatment, improve patient outcomes and reduce healthcare costs. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-022-08457-6.
Collapse
Affiliation(s)
| | | | - Ela Fadli
- BluePath Solutions, Los Angeles, CA, USA
| | - Karen C Chung
- GRAIL LLC, a subsidiary of Illumina Inc currently held separate from Illumina Inc under the terms of the Interim Measures Order of the European Commission dated 20 October 2021, 1525 O'Brien Dr, Menlo Park, CA, 94025, USA.
| |
Collapse
|
7
|
Tsui TCO, Zeitouny S, Bremner KE, Cheung DC, Mulder C, Croxford R, Del Giudice L, Lapointe-Shaw L, Mendlowitz A, Wong WWL, Perlis N, Sander B, Teckle P, Tomlinson G, Walker JD, Malikov K, McGrail KM, Peacock S, Kulkarni GS, Pataky RE, Krahn MD. Initial health care costs for COVID-19 in British Columbia and Ontario, Canada: an interprovincial population-based cohort study. CMAJ Open 2022; 10:E818-E830. [PMID: 36126976 PMCID: PMC9497846 DOI: 10.9778/cmajo.20210328] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND COVID-19 imposed substantial health and economic burdens. Comprehensive population-based estimates of health care costs for COVID-19 are essential for planning and policy evaluation. We estimated publicly funded health care costs in 2 Canadian provinces during the pandemic's first wave. METHODS In this historical cohort study, we linked patients with their first positive SARS-CoV-2 test result by June 30, 2020, in 2 Canadian provinces (British Columbia and Ontario) to health care administrative databases and matched to negative or untested controls. We stratified patients by highest level of initial care: community, long-term care, hospital (without admission to the intensive care unit [ICU]) and ICU. Mean publicly funded health care costs for patients and controls, mean net (attributable to COVID-19) costs and total costs were estimated from 30 days before to 120 days after the index date, or to July 31, 2020, in 30-day periods for patients still being followed by the start of each period. RESULTS We identified 2465 matched people with a positive test result for SARS-CoV-2 in BC and 28 893 in Ontario. Mean age was 53.4 (standard deviation [SD] 21.8) years (BC) and 53.7 (SD 22.7) years (Ontario); 55.7% (BC) and 56.1% (Ontario) were female. Net costs in the first 30 days after the index date were $22 010 (95% confidence interval [CI] 19 512 to 24 509) and $15 750 (95% CI 15 354 to 16 147) for patients admitted to hospital, and $65 828 (95% CI 58 535 to 73 122) and $56 088 (95% CI 53 721 to 58 455) for ICU patients in BC and Ontario, respectively. In the community and long-term care settings, net costs were near 0. Total costs for all people, from 30 days before to 30 days after the index date, were $22 128 330 (BC) and $175 778 210 (Ontario). INTERPRETATION During the first wave, we found that mean costs attributable to COVID-19 were highest for patients with ICU admission and higher in BC than Ontario. Reducing the number of people who acquire COVID-19 and severity of illness are required to mitigate the economic impact of COVID-19.
Collapse
Affiliation(s)
- Teresa C O Tsui
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Seraphine Zeitouny
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Karen E Bremner
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Douglas C Cheung
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Carol Mulder
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Ruth Croxford
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Lisa Del Giudice
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Lauren Lapointe-Shaw
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Andrew Mendlowitz
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - William W L Wong
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Nathan Perlis
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Beate Sander
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Paulos Teckle
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - George Tomlinson
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Jennifer D Walker
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Kamil Malikov
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Kimberlyn M McGrail
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Stuart Peacock
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Girish S Kulkarni
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Reka E Pataky
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| | - Murray D Krahn
- Toronto Health Economics and Technology Assessment (THETA) Collaborative (Bremner, Cheung, Krahn, Mendlowitz, Sander, Tsui); Toronto General Hospital Research Institute (Lapointe-Shaw); General Internal Medicine (Lapointe-Shaw), Toronto General Hospital; Biostatistics Research Unit (Tomlinson), University Health Network; Hospital for Sick Children (Tsui); Chiefs of Ontario (Mulder); Ontario Ministry of Health and Ontario Ministry of Long-Term Care (Malikov); ICES Central (Croxford, Lapointe-Shaw, Wong, Sander, Walker, Kulkarni, Krahn); Sunnybrook Health Sciences Centre (Del Giudice); Canadian Centre for Applied Research in Cancer Control (Tsui); Divisions of Urology (Cheung, Kulkarni, Perlis) and Surgical Oncology (Cheung, Kulkarni), Department of Surgery, and Department of Family and Community Medicine (Del Giudice), Temerty Faculty of Medicine, and Institute of Health Policy Management and Evaluation (Mendlowitz), University of Toronto; Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Zeitouny, Teckle, Peacock, Pataky), BC Cancer Agency; Centre for Health Services and Policy Research (Zeitouny), School of Population and Public Health (McGrail, Pataky), University of British Columbia; University Canada West (Teckle), Vancouver, BC; Queens University (Mulder), Kingston, Ont.; School of Pharmacy, University of Waterloo (Wong), Kitchener, Ont.; Department of Health Research Methods, Evidence, and Impact (Walker), McMaster University, Hamilton, Ont.; Faculty of Health Sciences (Peacock), Simon Fraser University, Burnaby, BC
| |
Collapse
|
8
|
Healthcare costs and resource utilization associated with renal cell carcinoma among older Americans: A longitudinal case-control study using the SEER-Medicare data. Urol Oncol 2022; 40:347.e17-347.e27. [DOI: 10.1016/j.urolonc.2022.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 04/01/2022] [Accepted: 04/13/2022] [Indexed: 11/19/2022]
|
9
|
Torres GF, Amaya JA, Buitrago G. Attributable Costs of Lung Cancer for the Colombian Health System: A Cost-of-Illness Study. Value Health Reg Issues 2022; 30:120-126. [PMID: 35344754 DOI: 10.1016/j.vhri.2022.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/29/2021] [Accepted: 02/18/2022] [Indexed: 01/08/2023]
Abstract
OBJECTIVES Lung cancer imposes a significant economic burden on most countries. Nevertheless, there is scarce information about this burden on health systems in low- and middle-income countries. This study aims to estimate the economic burden of lung cancer on the Colombian health system, a middle-income country with universal health coverage in Latin America. METHODS We conducted a cost-of-illness study that included all direct costs generated by prevalent cases of lung cancer in Colombia during 2017. We used administrative databases containing patient-level information on consumption of healthcare services and reports on healthcare spending published by the Colombian Ministry of Health. To decrease the probability of misallocation of costs, we used propensity score matching to estimate the marginal costs of delivering healthcare services to patients with lung cancer. Additionally, ordinary least squares and variations in case definitions were used to assess the robustness of all estimates. RESULTS Total costs attributable to lung cancer in 2017 ranged from $50 039 588 to $74 468 111, with important differences across insurance regimes (from $4 629 938 for the subsidized regime to $55 342 357 for the contributory regime). Notably, 43% of all costs ($27 081 348) were caused by the consumption of services not included in the health benefit package. There were no significant differences between inpatient and outpatient costs. CONCLUSIONS Lung cancer imposes a significant economic burden on the Colombian health system. Although all affiliates are entitled to a unique health benefit package, there were important differences in costs across insurance regimes. Further research is needed to identify the main mechanisms underlying these differences.
Collapse
Affiliation(s)
- Gabriel F Torres
- Instituto de Investigaciones Clínicas, Universidad Nacional de Colombia, Bogotá, Colombia.
| | - Javier A Amaya
- Instituto de Investigaciones Clínicas, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Giancarlo Buitrago
- Instituto de Investigaciones Clínicas, Universidad Nacional de Colombia, Bogotá, Colombia
| |
Collapse
|
10
|
Soliman R, Elhaddad A, Oke J, Eweida W, Tarek N, Hamza M, Yang Y, Abouelnaga S, Heneghan C. Childhood cancer hospital resource utilization and costs in Egypt, 2013-2017; patterns, trends, and associated factors for 8886 patients from Children's Cancer Hospital, Egypt. Pediatr Blood Cancer 2021; 68:e29347. [PMID: 34520099 DOI: 10.1002/pbc.29347] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 07/14/2021] [Accepted: 08/23/2021] [Indexed: 11/09/2022]
Abstract
INTRODUCTION There is a lack ofevidence about resource use and costs of childhood cancer care in Egypt. Knowledge about resource use/costs can help in better resource planning to improve care and outcomes efficiently. In this study, we estimated patterns and trends of hospital resource use and costs for children with cancer (n = 8886, aged 0-18 years) treated at Children's Cancer Hospital, Egypt (CCHE), between 2013 and 2017, by ICCC-3 groups, at one and three years post-diagnosis. METHODS We estimated costs from the healthcare provider perspective, expressed in USD 2019. We also studied resource use/cost trends, and factors associated with inpatient days and costs. RESULTS For all cancers combined, median costs were $14,774 (IQR: $6,559-$23,738) at one year and $19,799 (IQR: $8,921-$34,204) at three years post-diagnosis. Median inpatient days were 38 days (IQR: 17-60) at one year, and 43 days (IQR: 20-74) at three years post-diagnosis. Patients with acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), and neuroblastoma imposed the greatest financial burden on CCHE, representing 53.1% of total costs. AML patients had the highest costs/resource use of all childhood cancers. Cost trends decreased by 2.9% (P < 0.001) for all cancers combined, due to economic instability in Egypt between 2013 and 2017. The use of IV supportive drugs increased by 24.3% (P < 0.001) over time for children with solid tumors. CONCLUSION These findings will inform hospital resource planning and budgeting to promote value in care delivery, with implications for pediatric oncology practice and policy in Egypt/CCHE. Estimated costs provide the foundation for cost-effectiveness analysis.
Collapse
Affiliation(s)
- Ranin Soliman
- Department of Continuing Education, University of Oxford, Oxford, UK.,Health Economics and Value Unit, Children's Cancer Hospital, Egypt (CCHE), 57357, Egypt
| | - Alaa Elhaddad
- Pediatric Oncology Department, National Cancer Institute, Cairo University, Cairo, Egypt.,Pediatric Oncology Department, Children's Cancer Hospital, Egypt (CCHE), 57357, Egypt
| | - Jason Oke
- Centre for Evidence-Based Medicine, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Wael Eweida
- Chief Operating Office, Children's Cancer Hospital, Egypt (CCHE), 57357, Egypt
| | - Nourhan Tarek
- Health Economics and Value Unit, Children's Cancer Hospital, Egypt (CCHE), 57357, Egypt
| | - Mahmoud Hamza
- Research Department, Children's Cancer Hospital, Egypt (CCHE), 57357, Egypt
| | - Yaling Yang
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Sherif Abouelnaga
- Pediatric Oncology Department, Children's Cancer Hospital, Egypt (CCHE), 57357, Egypt.,Chief Executive Office, Children's Cancer Hospital, Egypt (CCHE), 57357, Egypt
| | - Carl Heneghan
- Centre for Evidence-Based Medicine, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| |
Collapse
|
11
|
Blakely T, Sigglekow F, Irfan M, Mizdrak A, Dieleman J, Bablani L, Clarke P, Wilson N. Disease-related income and economic productivity loss in New Zealand: A longitudinal analysis of linked individual-level data. PLoS Med 2021; 18:e1003848. [PMID: 34847146 PMCID: PMC8631646 DOI: 10.1371/journal.pmed.1003848] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 10/13/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Reducing disease can maintain personal individual income and improve societal economic productivity. However, estimates of income loss for multiple diseases simultaneously with thorough adjustment for confounding are lacking, to our knowledge. We estimate individual-level income loss for 40 conditions simultaneously by phase of diagnosis, and the total income loss at the population level (a function of how common the disease is and the individual-level income loss if one has the disease). METHODS AND FINDINGS We used linked health tax data for New Zealand as a high-income country case study, from 2006 to 2007 to 2015 to 2016 for 25- to 64-year-olds (22.5 million person-years). Fixed effects regression was used to estimate within-individual income loss by disease, and cause-deletion methods to estimate economic productivity loss at the population level. Income loss in the year of diagnosis was highest for dementia for both men (US$8,882; 95% CI $6,709 to $11,056) and women ($7,103; $5,499 to $8,707). Mental illness also had high income losses in the year of diagnosis (average of about $5,300 per year for males and $4,100 per year for females, for 4 subcategories of: depression and anxiety; alcohol related; schizophrenia; and other). Similar patterns were evident for prevalent years of diagnosis. For the last year of life, cancers tended to have the highest income losses, (e.g., colorectal cancer males: $17,786, 95% CI $15,555 to $20,018; females: $14,192, $12,357 to $16,026). The combined annual income loss from all diseases among 25- to 64-year-olds was US$2.72 billion or 4.3% of total income. Diseases contributing more than 4% of total disease-related income loss were mental illness (30.0%), cardiovascular disease (15.6%), musculoskeletal (13.7%), endocrine (8.9%), gastrointestinal (7.4%), neurological (6.5%), and cancer (4.5%). The limitations of this study include residual biases that may overestimate the effect of disease on income loss, such as unmeasured time-varying confounding (e.g., divorce leading to both depression and income loss) and reverse causation (e.g., income loss leading to depression). Conversely, there may also be offsetting underestimation biases, such as income loss in the prodromal phase before diagnosis that is misclassified to "healthy" person time. CONCLUSIONS In this longitudinal study, we found that income loss varies considerably by disease. Nevertheless, mental illness, cardiovascular, and musculoskeletal diseases stand out as likely major causes of economic productivity loss, suggesting that they should be prioritised in prevention programmes.
Collapse
Affiliation(s)
- Tony Blakely
- Population Interventions Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, Department of Public Health, University of Otago, Wellington, New Zealand
| | - Finn Sigglekow
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, Department of Public Health, University of Otago, Wellington, New Zealand
| | - Muhammad Irfan
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, Department of Public Health, University of Otago, Wellington, New Zealand
| | - Anja Mizdrak
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, Department of Public Health, University of Otago, Wellington, New Zealand
| | - Joseph Dieleman
- Institute of Health Metrics and Evaluation, University of Washington, Seattle, Washington State, United States of America
| | - Laxman Bablani
- Population Interventions Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Philip Clarke
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Nick Wilson
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, Department of Public Health, University of Otago, Wellington, New Zealand
| |
Collapse
|
12
|
Wong JJ, Côté P, Tricco AC, Watson T, Rosella LC. Effect of back problems on healthcare utilization and costs in Ontario, Canada: a population-based matched cohort study. Pain 2021; 162:2521-2531. [PMID: 34534177 DOI: 10.1097/j.pain.0000000000002239] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 02/08/2021] [Indexed: 11/26/2022]
Abstract
ABSTRACT We assessed the effect of back problems on healthcare utilization and costs in a population-based sample of adults from a single-payer health system in Ontario. We conducted a population-based cohort study of Ontario respondents aged ≥18 years of the Canadian Community Health Survey (CCHS) from 2003 to 2012. The CCHS data were individually linked to health administrative data to measure healthcare utilization and costs up to 2018. We propensity score-matched (hard matched on sex) adults with self-reported back problems to those without back problems, accounting for sociodemographic, health-related, and behavioural factors. We evaluated cause-specific and all-cause healthcare utilization and costs adjusted to 2018 Canadian dollars using negative binomial and linear (log transformed) regression models. After propensity score matching, we identified 36,806 pairs (women: 21,054 pairs; men: 15,752 pairs) of CCHS respondents with and without back problems (mean age 51 years, standard deviation = 18). Compared with propensity score matched adults without back problems, adults with back problems had 2 times the rate of cause-specific visits (rate ratio [RR]women 2.06, 95% confidence interval [CI] 1.88-2.25; RRmen 2.32, 95% CI 2.04-2.64), slightly more all-cause physician visits (RRwomen 1.12, 95% CI 1.09-1.16; RRmen 1.10, 95% CI 1.05-1.14), and 1.2 times the costs (women: 1.21, 95% CI 1.16-1.27; men: 1.16, 95% CI 1.09-1.23). Incremental annual per-person costs were higher in adults with back problems than those without back problems (women: $395, 95% CI $281-$509; men: $196, 95% CI $94-$300). This corresponded to $532 million for women and $227 million for men (adjusted to 2018 Canadian dollars) annually in Ontario given the high prevalence of back problems. Given the high health system burden, new strategies to effectively prevent and treat back problems and thus potentially reduce the long-term costs are warranted.
Collapse
Affiliation(s)
- Jessica J Wong
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Centre for Disability Prevention and Rehabilitation, Ontario Tech University and Canadian Memorial Chiropractic College, Oshawa, Ontario, Canada
| | - Pierre Côté
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Centre for Disability Prevention and Rehabilitation, Ontario Tech University and Canadian Memorial Chiropractic College, Oshawa, Ontario, Canada
- Faculty of Health Sciences, Ontario Tech University, Oshawa, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Andrea C Tricco
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | | | - Laura C Rosella
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Institute for Better Health, Trillium Health Partners, Mississauga, Ontario, Canada
| |
Collapse
|
13
|
Excess cost of care associated with sepsis in cancer patients: Results from a population-based case-control matched cohort. PLoS One 2021; 16:e0255107. [PMID: 34379649 PMCID: PMC8357157 DOI: 10.1371/journal.pone.0255107] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 07/10/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Cancer patients are at significant risk of developing sepsis due to underlying malignancy and necessary treatments. Little is known about the economic burden of sepsis in this high-risk population. We estimate the short- and long-term healthcare costs of care of cancer patients with and without sepsis using individual-level linked-administrative data. METHODS We conducted a population-based matched cohort study of cancer patients aged ≥18, diagnosed between 2010 and 2017. Cases were identified if diagnosed with sepsis during the study period, and were matched 1:1 by age, sex, cancer type and other variables to controls without sepsis. Mean costs (2018 Canadian dollars) for patients with and without sepsis up to 5 years were estimated adjusted using survival probabilities at partitioned intervals. We estimated excess cost associated with sepsis presented as a cost difference between the two cohorts. Haematological and solid cancers were analysed separately. RESULTS 77,483 cancer patients with sepsis were identified and matched. 64.3% of the cohort were aged ≥65, 46.3% female and 17.8% with haematological malignancies. Among solid tumour patients, the excess cost of care among patients who developed sepsis was $29,081 (95%CI, $28,404-$29,757) in the first year, rising to $60,714 (95%CI, $59,729-$61,698) over 5 years. This was higher for haematology patients; $46,154 (95%CI, $45,505-$46,804) in year 1, increasing to $75,931 (95%CI, $74,895-$76,968). CONCLUSIONS Sepsis imposes substantial economic burden and can result in a doubling of cancer care costs, particularly during the first year of cancer diagnosis. These estimates are helpful in improving our understanding of burden of sepsis along the cancer pathway and to deploy targeted strategies to alleviate this burden.
Collapse
|
14
|
Bugge C, Brustugun OT, Sæther EM, Kristiansen IS. Phase- and gender-specific, lifetime, and future costs of cancer: A retrospective population-based registry study. Medicine (Baltimore) 2021; 100:e26523. [PMID: 34190187 PMCID: PMC8257845 DOI: 10.1097/md.0000000000026523] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 06/04/2021] [Indexed: 01/04/2023] Open
Abstract
Valid estimates of cancer treatment costs are import for priority setting, but few studies have examined costs of multiple cancers in the same setting.We performed a retrospective population-based registry study to evaluate phase-specific (initial, continuing, and terminal phase) direct medical costs and lifetime costs for 13 cancers and all cancers combined in Norway. Mean monthly cancer attributable costs were estimated using nationwide activity data from all Norwegian hospitals. Mean lifetime costs were estimated by combining phase-specific monthly costs and survival times from the national cancer registry. Scenarios for future costs were developed from the lifetime costs and the expected number of new cancer cases toward 2034 estimated by NORDCAN.For all cancers combined, mean discounted per patient direct medical costs were Euros (EUR) 21,808 in the initial 12 months, EUR 4347 in the subsequent continuing phase, and EUR 12,085 in the terminal phase (last 12 months). Lifetime costs were higher for cancers with a 5-year relative survival between 50% and 70% (myeloma: EUR 89,686, mouth/pharynx: EUR 66,619, and non-Hodgkin lymphoma: EUR 65,528). The scenario analyses indicate that future cancer costs are highly dependent on future cancer incidence, changes in death risk, and cancer-specific unit costs.Gender- and cancer-specific estimates of treatment costs are important for assessing equity of care and to better understand resource consumption associated with different cancers.Cancers with an intermediate prognosis (50%-70% 5-year relative survival) are associated with higher direct medical costs than those with relatively good or poor prognosis.
Collapse
Affiliation(s)
- Christoffer Bugge
- Department of Health Management and Health Economics, University of Oslo
- Oslo Economics, Oslo
| | - Odd Terje Brustugun
- Section of Oncology, Drammen Hospital, Vestre Viken Health Trust, Drammen, Norway
| | | | - Ivar Sønbø Kristiansen
- Department of Health Management and Health Economics, University of Oslo
- Oslo Economics, Oslo
- Institute of Public Health, University of Southern Denmark, Odense, Denmark
| |
Collapse
|
15
|
Bhattacharya K, Bentley JP, Ramachandran S, Chang Y, Banahan BF, Shah R, Bhakta N, Yang Y. Phase-Specific and Lifetime Costs of Multiple Myeloma Among Older Adults in the US. JAMA Netw Open 2021; 4:e2116357. [PMID: 34241627 PMCID: PMC8271356 DOI: 10.1001/jamanetworkopen.2021.16357] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
IMPORTANCE Health care costs associated with diagnosis and care among older adults with multiple myeloma (MM) are substantial, with cost of care and the factors involved differing across various phases of the disease care continuum, yet little is known about cost of care attributable to MM from a Medicare perspective. OBJECTIVE To estimate incremental phase-specific and lifetime costs and cost drivers among older adults with MM enrolled in fee-for-service Medicare. DESIGN, SETTING, AND PARTICIPANTS A retrospective cohort study was conducted using population-based registry data from the 2007-2015 Surveillance, Epidemiology, and End Results database linked with 2006-2016 Medicare administrative claims data. Data analysis included 4533 patients with newly diagnosed MM and 4533 matched noncancer Medicare beneficiaries from a 5% sample of Medicare to assess incremental MM lifetime and phase-specific costs (prediagnosis, initial care, continuing care, and terminal care) and factors associated with phase-specific incremental MM costs. The study was conducted from June 1, 2019, to April 30, 2021. MAIN OUTCOMES AND MEASURES Incremental MM costs were calculated for the disease lifetime and the following 4 phases of care: prediagnosis, initial, continuing care, and terminal. RESULTS Of the 4533 patients with MM included in the study, 2374 were women (52.4%), 3418 (75.4%) were White, and mean (SD) age was 75.8 (6.8) years (2313 [51.0%] aged ≥75 years). The characteristics of the control group were similar; however, mean (SD) age was 74.2 (8.8) years (2839 [62.6%] aged ≤74 years). Mean adjusted incremental MM lifetime costs were $184 495 (95% CI, $183 099-$185 968). Mean per member per month phase-specific incremental MM costs were estimated to be $1244 (95% CI, $1216-$1272) for the prediagnosis phase, $11 181 (95% CI, $11 052-$11 309) for the initial phase, $5634 (95% CI, $5577-$5694) for the continuing care phase, and $6280 (95% CI, $6248-$6314) for the terminal phase. Although inpatient and outpatient costs were estimated as the major cost drivers for the prediagnosis (inpatient, 55.8%; outpatient, 40.2%), initial care (inpatient, 38.1%; outpatient, 35.5%), and terminal (inpatient, 33.0%; outpatient, 34.6%) care phases, prescription drugs (44.9%) were the largest cost drivers in the continuing care phase. CONCLUSIONS AND RELEVANCE The findings of this study suggest that there is substantial burden to Medicare associated with diagnosis and care among older adults with MM, and the cost of care and cost drivers vary across different phases of the cancer care continuum. The study findings might aid policy discussions regarding MM care and coverage and help further the development of alternative payment models for MM, accounting for differential costs across various phases of the disease continuum and their drivers.
Collapse
Affiliation(s)
- Kaustuv Bhattacharya
- Center for Pharmaceutical Marketing and Management, University of Mississippi School of Pharmacy, University
- Department of Pharmacy Administration, University of Mississippi School of Pharmacy, University
| | - John P. Bentley
- Center for Pharmaceutical Marketing and Management, University of Mississippi School of Pharmacy, University
- Department of Pharmacy Administration, University of Mississippi School of Pharmacy, University
| | - Sujith Ramachandran
- Center for Pharmaceutical Marketing and Management, University of Mississippi School of Pharmacy, University
- Department of Pharmacy Administration, University of Mississippi School of Pharmacy, University
| | - Yunhee Chang
- Department of Nutrition and Hospitality Management, University of Mississippi, University
| | - Benjamin F. Banahan
- Center for Pharmaceutical Marketing and Management, University of Mississippi School of Pharmacy, University
- Department of Pharmacy Administration, University of Mississippi School of Pharmacy, University
| | | | - Nickhill Bhakta
- Department of Global Pediatric Medicine, St Jude Children’s Research Hospital, Memphis, Tennessee
| | - Yi Yang
- Center for Pharmaceutical Marketing and Management, University of Mississippi School of Pharmacy, University
- Department of Pharmacy Administration, University of Mississippi School of Pharmacy, University
| |
Collapse
|
16
|
Howard DH, Quek RGW, Fox KM, Arondekar B, Filson CP. The value of new drugs for advanced prostate cancer. Cancer 2021; 127:3457-3465. [PMID: 34062620 DOI: 10.1002/cncr.33662] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 04/12/2021] [Accepted: 04/29/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND The US Food and Drug Administration has recently approved a number of new cancer drugs. The clinical trials that serve as the basis for new cancer drug approvals may not reflect how the drugs will perform in routine practice and do not measure the impact of the drugs on spending. The authors sought to evaluate the real-world effectiveness and value of drugs recently approved for advanced prostate cancer. METHODS Using Surveillance, Epidemiology, and End Results-Medicare data, the authors identified fee-for-service Medicare beneficiaries aged 65 years or older who began treatment with a drug approved for metastatic castration-resistant prostate cancer in 2007-2009, when only 1 drug was approved for metastatic castration-resistant prostate cancer, and in 2014-2016, when 5 additional drugs were approved. They calculated life expectancy and lifetime medical costs (ie, Medicare reimbursements) for each group. RESULTS Between 2007-2009 and 2014-2016, life expectancy increased by 12.6 months. Lifetime medical costs increased by $87,000. The incremental cost per life-year gained was $83,000. CONCLUSION The release of 5 new drugs coincided with increases in survival rates and spending. This study's estimates indicate that the new drugs collectively were cost-effective.
Collapse
Affiliation(s)
- David H Howard
- Department of Health Policy and Management, Emory University, Atlanta, Georgia.,Winship Cancer Institute, Emory Healthcare, Atlanta, Georgia
| | | | - Kathleen M Fox
- Strategic Healthcare Solutions, LLC, Aiken, South Carolina
| | | | - Christopher P Filson
- Winship Cancer Institute, Emory Healthcare, Atlanta, Georgia.,Department of Urology, Emory University, Atlanta, Georgia
| |
Collapse
|
17
|
Raman S, Shafie AA, Abraham MT, Shim CK, Maling TH, Rajendran S, Cheong SC. Provider cost of treating oral potentially malignant disorders and oral cancer in Malaysian public hospitals. PLoS One 2021; 16:e0251760. [PMID: 33984051 PMCID: PMC8118562 DOI: 10.1371/journal.pone.0251760] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 04/30/2021] [Indexed: 11/23/2022] Open
Abstract
Oral cancer has been recognized as a significant challenge to healthcare. In Malaysia, numerous patients frequently present with later stages of cancers to the highly subsidized public healthcare facilities. Such a trend contributes to a substantial social and economic burden. This study aims to determine the cost of treating oral potentially malignant disorders (OPMD) and oral cancer from a public healthcare provider’s perspective. Medical records from two tertiary public hospitals were systematically abstracted to identify events and resources consumed retrospectively from August 2019 to January 2020. The cost accrued was used to estimate annual initial and maintenance costs via two different methods- inverse probability weighting (IPW) and unweighted average. A total of 86 OPMD and 148 oral cancer cases were included. The initial phase mean unadjusted cost was USD 2,861 (SD = 2,548) in OPMD and USD 38,762 (SD = 12,770) for the treatment of cancer. Further annual estimate of initial phase cost based on IPW method for OPMD, early and late-stage cancer was USD 3,561 (SD = 4,154), USD 32,530 (SD = 12,658) and USD 44,304 (SD = 16,240) respectively. Overall cost of late-stage cancer was significantly higher than early-stage by USD 11,740; 95% CI [6,853 to 16,695]; p< 0.001. Higher surgical care and personnel cost predominantly contributed to the larger expenditure. In contrast, no significant difference was identified between both cancer stages in the maintenance phase, USD 700; 95% CI [-1,142 to 2,541]; p = 0.457. A crude comparison of IPW estimate with unweighted average displayed a significant difference in the initial phase, with the latter being continuously higher across all groups. IPW method was shown to be able to use data more efficiently by adjusting cost according to survival and follow-up. While cost is not a primary consideration in treatment recommendations, our analysis demonstrates the potential economic benefit of investing in preventive medicine and early detection.
Collapse
Affiliation(s)
- Sivaraj Raman
- Discipline of Social and Administrative Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Penang, Malaysia
- Pharmacy Department, Hospital Keningau, Ministry of Health, Keningau, Sabah, Malaysia
| | - Asrul Akmal Shafie
- Discipline of Social and Administrative Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Penang, Malaysia
- Institutional Planning and Strategic Center, Universiti Sains Malaysia, Gelugor, Penang, Malaysia
- * E-mail:
| | - Mannil Thomas Abraham
- Oral and Maxillofacial Surgery Department, Hospital Tengku Ampuan Rahimah, Ministry of Health, Klang, Selangor, Malaysia
| | - Chen Kiong Shim
- Oral and Maxillofacial Surgery Department, Hospital Umum Sarawak, Ministry of Health, Kuching, Sarawak, Malaysia
| | - Thaddius Herman Maling
- Samarahan Divisional Dental Office, Sarawak State Health Department, Ministry of Health, Samarahan, Sarawak, Malaysia
| | - Senthilmani Rajendran
- Head and Neck Cancer Research Team, Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
| | - Sok Ching Cheong
- Head and Neck Cancer Research Team, Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia
| |
Collapse
|
18
|
Grosse SD, Dollard SC, Ortega-Sanchez IR. Economic assessments of the burden of congenital cytomegalovirus infection and the cost-effectiveness of prevention strategies. Semin Perinatol 2021; 45:151393. [PMID: 33551180 PMCID: PMC8335728 DOI: 10.1016/j.semperi.2021.151393] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE This is a critical review of published economic analyses on congenital cytomegalovirus infection and strategies for its detection and prevention. FINDINGS The review identified four cost-of-illness studies and nine cost-effectiveness analyses: three of vaccination of young women, two of prenatal screening, and four of newborn screening. All reported either large economic costs or favorable cost-effectiveness of interventions. However, sensitivity analyses did not address some of the most critical assumptions. CONCLUSIONS Reviewed economic analyses overattributed certain adverse long-term outcomes to congenital cytomegalovirus infection, while other long-term costs were not included. Overall, limited conceptual frameworks, unrepresentative data sources, and unsupported or inadequately documented assumptions regarding outcomes and costs hinder the ability of policymakers to draw conclusions. A major challenge is the limited information on long-term outcomes and costs for representative cohorts of individuals with congenital cytomegalovirus, which further research could helpfully address.
Collapse
Affiliation(s)
- Scott D. Grosse
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA,Corresponding author. (S.D. Grosse)
| | - Sheila C. Dollard
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ismael R. Ortega-Sanchez
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| |
Collapse
|
19
|
Lee MJ, Lee E, Park B, Park I. Epidemiological characteristics of cancers in patients with end-stage kidney disease: a Korean nationwide study. Sci Rep 2021; 11:3929. [PMID: 33594123 PMCID: PMC7887206 DOI: 10.1038/s41598-021-83164-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 01/29/2021] [Indexed: 11/09/2022] Open
Abstract
Patients with end-stage kidney disease (ESKD) have been reported to have an increased risk of cancer. However, the epidemiological characteristics of cancer in ESKD patients remain unclear. Therefore, this study aimed to investigate the epidemiological characteristics of cancer in ESKD patients and the differences based on the renal replacement therapy provided. Data on ESKD patients were obtained from the South Korean nationwide cohort Health Insurance Review and Assessment Service database. This study included 58,831 eligible patients of the total 813,907 patients diagnosed with ESKD between January 1, 2007 and December 31, 2017. Of the 58,831 ESKD patients, 3292 (5.6%) were newly diagnosed with cancer. The average duration between the diagnosis of ESKD and cancer was 3.3 ± 1.9 years (mean ± standard deviation), with no differences between hemodialysis, peritoneal dialysis, and kidney transplant groups. The most commonly observed cancer sites in ESKD patients were the colorectum, lung, and liver. The incidence of cancer increased progressively among patients undergoing kidney transplant, peritoneal dialysis, and hemodialysis in that order. Hemodialysis patients were found to have an increased risk of digestive tract cancer compared with kidney transplant patients (adjusted hazard ratio = 1.9; 95% confidence interval: 1.31-2.81; P < 0.001). The study findings may be a useful reference for cancer-screening guidelines.
Collapse
Affiliation(s)
- Min-Jeong Lee
- Department of Nephrology, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Eunyoung Lee
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.,Office of Biostatistics, Medical Research Collaborating Center, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, Republic of Korea.,Department of Medical Sciences, Biomedical Informatics, Graduate School of Ajou University, Suwon, Republic of Korea
| | - Bumhee Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea. .,Office of Biostatistics, Medical Research Collaborating Center, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, Republic of Korea.
| | - Inwhee Park
- Department of Nephrology, Ajou University School of Medicine, Suwon, Republic of Korea.
| |
Collapse
|
20
|
Choi I, Lee D, Son KB, Bae S. Incidence, cost and gender differences of oropharyngeal and noncervical anogenital cancers in South Korea. BMC Public Health 2020; 20:1035. [PMID: 32600300 PMCID: PMC7325282 DOI: 10.1186/s12889-020-09161-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 06/22/2020] [Indexed: 11/19/2022] Open
Abstract
Background Human papillomavirus (HPV) is associated with a significant public health burden, yet few studies have been conducted in Asia, especially on noncervical cancers. We estimated the incidence and cost of oropharyngeal and noncervical anogenital (anal, vulvar, vaginal, penile) cancer in Korea. Methods We conducted a retrospective cohort study using Korea’s National Health Insurance (NHI) claim database from 2013 to 2016. The main outcome measures were the number of respective cancer incidences during the study period and the annual costs per patient in the first year after diagnosis, which was adjusted by relevant variables based on the regression analysis. Results During the study period, 8022 patients with these cancers were identified, and oropharyngeal cancer comprised 46% of them. The crude incidence rate for male oropharyngeal cancer was significantly higher than that of females (3.1 vs. 0.7 per 100,000 as of 2016, respectively). Additionally, the crude incidence of male oropharyngeal cancer increased from 2.7 in 2013 to 3.1 in 2016, whereas that of female and other cancers was stable during the study period. The mean annual incidence-based cost per patient in 2016 was highest for oropharyngeal cancers (21,870 USD), and it was significantly higher in males than in females based on then regression analysis (p < .001). Conclusions Oropharyngeal cancer comprises the highest number of HPV-associated noncervical cancer incidences in Korea, and the incidence and cost of oropharyngeal cancer was significantly higher among males than females. More aggressive public health policy toward males may decrease gender gap of oropharyngeal cancer.
Collapse
|
21
|
The Burden of Cervical Cancer in Korea: A Population-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17176308. [PMID: 32872616 PMCID: PMC7503353 DOI: 10.3390/ijerph17176308] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 08/25/2020] [Accepted: 08/27/2020] [Indexed: 12/12/2022]
Abstract
This study used the Korean National Health Insurance (NHI) claims database from 2011 to 2017 to estimate the incidence and the incidence-based cost of cervical cancer and carcinoma in situ of cervix uteri (CIS) in Korea. The primary outcome was the direct medical cost per patient not diagnosed with cervical cancer (C53) or CIS (D06) 2 years prior to the index date in the first year after diagnosis. A regression analysis was conducted to adjust for relevant covariates. The incidence of cervical cancer tended to decrease from 2013 to 2016, while that of CIS increased. In particular, the incidence rate of CIS in women in their 20 s and 30 s increased by 56.8% and 28.4%, respectively, from 2013 to 2016. The incidence-based cost of cervical cancer and CIS was USD 13,058 and USD 2695 in 2016, respectively, which increased from 2013. Multivariate regression analysis suggested that age was the most influential variable of the cost in both patient groups, and the cost was highest in those aged over 60, i.e., the medical cost was significantly lower in younger women than their older counterparts. These findings suggest that targeting younger women in cervical cancer prevention is a reasonable option from both economic and public health perspectives.
Collapse
|
22
|
Mau LW, Preussler JM, Burns LJ, Leppke S, Majhail NS, Meyer CL, Mupfudze T, Saber W, Steinert P, Vanness DJ. Healthcare Costs of Treating Privately Insured Patients with Acute Myeloid Leukemia in the United States from 2004 to 2014: A Generalized Additive Modeling Approach. PHARMACOECONOMICS 2020; 38:515-526. [PMID: 32128725 PMCID: PMC7194165 DOI: 10.1007/s40273-020-00891-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
OBJECTIVES The primary objective of this study was to predict healthcare cost trajectories for patients with newly diagnosed acute myeloid leukemia (AML) receiving allogeneic hematopoietic cell transplantation (alloHCT), as a function of days since chemotherapy initiation, days relative to alloHCT, and days before death or last date of insurance eligibility (LDE). An exploratory objective examined patients with AML receiving chemotherapy only. METHODS We used Optum's de-identified Clinformatics® Data Mart Database to construct cumulative cost trajectories from chemotherapy initiation to death or LDE (through 31 December 2014) for US patients aged 20-74 years diagnosed between 1 March 2004 and 31 December 2013 (n = 187 alloHCT; n = 253 chemotherapy only). We used generalized additive modeling (GAM) to predict expected trajectories and bootstrapped confidence intervals (CIs) at user-specified intervals conditional on dates of alloHCT and death or LDE relative to chemotherapy initiation. RESULTS Expected costs (in 2017 values) for a hypothetical patient receiving alloHCT 60 days after chemotherapy initiation and followed for 5 years were $US572,000 (95% CI 517,000-633,000); $US119,000 (95% CI 51,000-192,000); $US102,000 (95% CI 0-285,000); $US79,000 (95% CI 0-233,000), for years 1-4, respectively, and either $US494,000 (95% CI 212,000-799,000) or $US108,000 (95% CI 0-230,000) in year 5, whether the patient died or was lost to follow-up on day 1825, respectively. CONCLUSIONS Rates of cost accrual varied over time since chemotherapy initiation, with accelerations around the time of alloHCT and death. GAM is a potentially useful approach for imputing longitudinal costs relative to treatment initiation and one or more intercurrent, clinical, or terminal events in randomized controlled trials or registries with unrecorded costs or for dynamic decision-analytic models.
Collapse
Affiliation(s)
- Lih-Wen Mau
- National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, USA
| | - Jaime M Preussler
- National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, USA
| | - Linda J Burns
- National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, USA
| | - Susan Leppke
- National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Navneet S Majhail
- Blood & Marrow Transplant Program, Cleveland Clinic, Cleveland, OH, USA
| | - Christa L Meyer
- National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, USA
| | - Tatenda Mupfudze
- National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, USA
| | - Wael Saber
- Center for International Blood and Marrow Transplant Research, Milwaukee, WI, USA
| | - Patricia Steinert
- Center for International Blood and Marrow Transplant Research, Milwaukee, WI, USA
| | - David J Vanness
- Apriori Bayesian Consulting, LLC, 2643 Sleepy Hollow Drive, State College, PA, 16803, USA.
| |
Collapse
|
23
|
Kreis K, Plöthner M, Schmidt T, Seufert R, Schreeb K, Jahndel V, Maas S, Kuhlmann A, Zeidler J, Schramm A. Healthcare costs associated with breast cancer in Germany: a claims data analysis. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2020; 21:451-464. [PMID: 31897812 DOI: 10.1007/s10198-019-01148-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 12/12/2019] [Indexed: 06/10/2023]
Abstract
PURPOSE This study estimates the healthcare costs associated with breast cancer (BC) for different treatment phases (initial, intermediate, terminal) in Germany from the payer's perspective. METHODS The analysis uses claims data from the AOK Bayern covering 2011-2014 for continuously insured BC patients identified through inpatient and outpatient diagnoses. We calculate the healthcare costs attributable to BC using a control group design comparing the target population to a 1:2 matched control group adjusted for age, gender, and comorbidities. For incident and prevalent BC cases, we calculate age-standardized phase-specific incremental costs stratified by cost domain. RESULTS The initial, intermediate, and terminal phases comprise 3841, 28,315, and 1767 BC cases, respectively. BC-related incremental costs follow a u-shaped curve, with costs highest near diagnosis and death, and lower in between. With average costs of €33,237 per incident and €28,211 per prevalent case in the remaining 11 months before death, the highest BC-related incremental healthcare costs can be found in the terminal phase. In the initial phase, there were mean incremental costs of €21,455 the first 11 months after diagnosis. In the intermediate phase, incremental costs totaled €2851 per incident and €2387 per prevalent case per year. Healthcare costs decreased with age in most phases. The cost drivers depend on the treatment phase, with cytostatic drugs and inpatient treatment showing the highest economic impact in most phases. CONCLUSION The study concludes that BC care costs impose a relevant economic burden on statutory health insurance and vary substantially depending on the treatment phase.
Collapse
Affiliation(s)
- Kristine Kreis
- Center for Health Economics Research Hannover (CHERH), Gottfried Wilhelm Leibniz Universität Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany.
| | - Marika Plöthner
- Center for Health Economics Research Hannover (CHERH), Gottfried Wilhelm Leibniz Universität Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany
| | - Torben Schmidt
- Center for Health Economics Research Hannover (CHERH), Gottfried Wilhelm Leibniz Universität Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany
| | - Richard Seufert
- AOK Bayern, Die Gesundheitskasse, DLZ Versorgungsmanagement, Bruderwöhrdstr. 9, 93055, Regensburg, Germany
| | | | | | - Sylke Maas
- BioNTech AG, An der Goldgrube 12, 55131, Mainz, Germany
| | - Alexander Kuhlmann
- Center for Health Economics Research Hannover (CHERH), Gottfried Wilhelm Leibniz Universität Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany
| | - Jan Zeidler
- Center for Health Economics Research Hannover (CHERH), Gottfried Wilhelm Leibniz Universität Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany
| | - Anja Schramm
- AOK Bayern, Die Gesundheitskasse, DLZ Versorgungsmanagement, Bruderwöhrdstr. 9, 93055, Regensburg, Germany
| |
Collapse
|
24
|
Niazi SK, Naessens JM, White L, Borah B, Vargas ER, Richards J, Cabral S, Clark MM, Rummans T. Impact of Psychiatric Comorbidities on Health Care Costs Among Patients With Cancer. PSYCHOSOMATICS 2019; 61:145-153. [PMID: 31864662 DOI: 10.1016/j.psym.2019.10.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 10/30/2019] [Accepted: 10/30/2019] [Indexed: 01/06/2023]
Abstract
BACKGROUND Psychiatric disorders are common in cancer patients and impact outcomes. Impact on cancer care cost needs study to develop business case for psychosocial interventions. OBJECTIVE To evaluate the impact of preexisting psychiatric comorbidities on total cost of care during 6 months after cancer diagnosis. METHODS This retrospective cohort study examined patients diagnosed with cancer between January 1, 2009, and December 31, 2014, at one National Cancer Institute-designated cancer center. Patients who received all cancer treatment at the study site (6598 of 11,035 patients) were included. Patients were divided into 2 groups, with or without psychiatric comorbidity, based on International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Total costs of care during the first 6 months of treatment were based on standardized costs adjusted to 2014 dollars, determined by assigning Medicare reimbursement rates to professional billed services and applying appropriate cost-to-charge ratios. Quantile regression models with covariate adjustments were developed to assess the effect of psychiatric comorbidity across the distribution of costs. RESULTS Six hundred ninety-eight (10.6%) of 6598 eligible patients had at least one psychiatric comorbidity. These patients had more nonpsychiatric Elixhauser comorbidities (mean 4 vs. 3). Unadjusted total cancer care costs were higher for patients with psychiatric comorbidity (mean [standard deviation]: $51,798 [$74,549] vs. $32,186 [$45,240]; median [quartiles]: $23,871 [$10,705-$57,338] vs. $19,073 [$8120-$38,230]). Quantile regression models demonstrated that psychiatric comorbidity had significant incremental effects at higher levels of cost: 75th percentile $8629 (95% confidence interval: $3617-13,642) and 90th percentile $42,586 (95% confidence interval: $25,843-59,330). CONCLUSIONS Psychiatric comorbidities are associated with increased total cancer costs, especially in patients with very high cancer care costs, representing an opportunity to develop mitigation strategies.
Collapse
Affiliation(s)
- Shehzad K Niazi
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL; Robert D. and Patricia E. Kern Center for Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL.
| | - James M Naessens
- Robert D. and Patricia E. Kern Center for Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL; Robert D. and Patricia E. Kern Center for Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Launia White
- Robert D. and Patricia E. Kern Center for Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL
| | - Bijan Borah
- Robert D. and Patricia E. Kern Center for Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Emily R Vargas
- Robert D. and Patricia E. Kern Center for Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL
| | | | | | - Matthew M Clark
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN
| | - Teresa Rummans
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN
| |
Collapse
|
25
|
Shih YCT, Xu Y, Chien CR, Kim B, Shen Y, Li L, Geynisman DM. Rising Economic Burden of Renal Cell Carcinoma among Elderly Patients in the USA: Part II-An Updated Analysis of SEER-Medicare Data. PHARMACOECONOMICS 2019; 37:1495-1507. [PMID: 31286464 PMCID: PMC6885100 DOI: 10.1007/s40273-019-00824-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
BACKGROUND The influx of new oncologic technologies has changed the treatment landscape of renal cell carcincoma (RCC) in the last decade. This study updated a previously published paper on the economic burden of RCC in the USA by using more recent data to examine the impact of various forms of new oncologic technologies on the economic burden of RCC. METHODS Using the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database, we employed prevalence and incidence costing approaches to estimate RCC costs from the payer's perspective. We conducted a longitudinal analysis of cost data per patient per month for a prevalence cohort of patients with RCC to determine which category of new technology (surgery, radiation, or cancer drugs) was the major cost driver for RCC. We then applied the incidence costing approach to estimate costs related to RCC by care phase (initial, continuing, and terminal) and compared costs between two incidence cohorts to examine how new technology affected the economic burden of RCC over time. RESULTS After controlling for demographic factors, clinical characteristics, neighborhood socioeconomic status, and time trend, we found that rising per patient per month costs were driven by new technologies in cancer drugs. Incidence-based analysis showed the annual net cost (2018 US$) for patients with distant-stage RCC diagnosed between 2002 and 2006 was $51,639, $19,025, $76,603, and $29,045 for the initial, continuing (year 1), terminal (died from RCC), and terminal (died from other causes) care phases, respectively. Costs increased to $70,703, $34,716, $107,989, and $47,538, respectively, for the incidence cohort diagnosed between 2007 and 2011. CONCLUSION The rising economic burden of RCC was most pronounced among patients with distant-stage RCC, and driven primarily by new cancer drugs.
Collapse
Affiliation(s)
- Ya-Chen Tina Shih
- Section of Cancer Economics and Policy, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Univ 1444, Houston, TX, 77030, USA.
| | - Ying Xu
- Section of Cancer Economics and Policy, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Univ 1444, Houston, TX, 77030, USA
| | - Chun-Ru Chien
- Department of Radiation Oncology, China Medical University Hsinchu Hospital, Hsinchu, Taiwan
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Bumyang Kim
- Section of Cancer Economics and Policy, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Univ 1444, Houston, TX, 77030, USA
| | - Yu Shen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Daniel M Geynisman
- Department of Hematology/Oncology, Fox Chase Cancer Center, Temple Health, Philadelphia, PA, USA
| |
Collapse
|
26
|
Abstract
Administrative claims data are big data generated from healthcare encounters. Claims data contain information on insurance payment as well as clinical diagnoses and procedure codes to ascertain medical conditions and treatments, making them valuable sources for economic evaluation research. This paper offers an introductory overview of the use of claims data for oncology-related cost-of-illness, cost comparison, and cost-effectiveness analyses. We reviewed analytical methods commonly employed in these analyses, such as the phase of care approach and net costing method for cost-of-illness studies, propensity score matching methods for cost comparison studies, and net benefit regression models for cost-effectiveness studies. We used published studies to explain each method and to discuss methodological challenges of conducting economic studies using claims data.
Collapse
Affiliation(s)
- Ya-Chen Tina Shih
- Section of Cancer Economics and Policy, Department of Health Services Research, The University of Texas M. D. Anderson Cancer Center, Houston, TX.
| | - Lei Liu
- Division of Biostatistics, Washington University School of Medicine in St. Louis, MO
| |
Collapse
|
27
|
Schernberg A, Sagaon-Teyssier L, Schwarzinger M. Clinical and economic burden of head and neck cancer: a nationwide retrospective cohort study from France. CLINICOECONOMICS AND OUTCOMES RESEARCH 2019; 11:441-451. [PMID: 31413607 PMCID: PMC6661373 DOI: 10.2147/ceor.s198312] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 03/28/2019] [Indexed: 12/12/2022] Open
Abstract
Objectives To evaluate the clinical and economic burden of head and neck squamous cell carcinoma (HNSCC) in France. Methods All 53,255 incident adult patients discharged with a first diagnosis of HNSCC in 2010–2012 were identified from the 2008–2013 French National Hospital Discharge (PMSI) database. We conducted a retrospective longitudinal analysis of prognosis and direct costs attributable to HNSCC. Results Direct medical costs attributable to HNSCC care amounted to 665 million euros in 2012 in France. The majority (62%) of incident patients were 64 years old or less at HNSCC diagnosis and incurred 1.3-fold higher mean direct costs as compared to elderly patients (41,909 vs 32,221 euros over 3 years, respectively; p<0.001). HNSCC stage at initial treatment was the major driver of mean (SD) direct costs over 3 years (p<0.001): 19,819 (23,150) euros in 31% patients diagnosed at early stage; 46,791 (34,841) euros in 60% patients diagnosed at locally advanced stage; and 43,377 (33,953) euros in 9% patients diagnosed with distant metastasis. About half patients died over 3 years at a median (IQR) age of 63 (56–75) years resulting in 10.9 years-of-life lost on average per incident patient. Conclusion The present study suggests that the clinical and economic burden of HNSCC is substantial in France.
Collapse
Affiliation(s)
| | - Luis Sagaon-Teyssier
- Aix Marseille Univ, INSERM, IRD, SESSTIM, Marseille, France.,Translational Health Economics Network (THEN), Paris, France
| | - Michaël Schwarzinger
- Translational Health Economics Network (THEN), Paris, France.,Infection Antimicrobials Modeling & Evolution (IAME), UMR 1137, Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | | |
Collapse
|
28
|
Kwon SK, Han JH, Kim HY, Kang G, Kang M, Kim YJ, Min J. The Incidences and Characteristics of Various Cancers in Patients on Dialysis: a Korean Nationwide Study. J Korean Med Sci 2019; 34:e176. [PMID: 31243935 PMCID: PMC6597487 DOI: 10.3346/jkms.2019.34.e176] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 06/07/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The numbers of patients on dialysis and their life expectancies are increasing. Reduced renal function is associated with an increased risk of cancer, but the cancer incidence and sites in dialysis patients compared with those of the general population require further investigation. We investigated the incidences of various cancers in dialysis patients in Korea and used national health insurance data to identify cancers that should be screened in dialysis clinics. METHODS We accessed the Korean National Health Insurance Database and excerpted data using the International Classification of Disease codes for dialysis and malignancies. We included all patients who commenced dialysis between 2004 and 2013 and selected the same number of controls via propensity score matching. RESULTS A total of 48,315 dialysis patients and controls were evaluated; of these, 2,504 (5.2%) dialysis patients and 2,201 (4.6%) controls developed cancer. The overall cancer risk was 1.54-fold higher in dialysis patients than in controls (adjusted hazard ratio, 1.71; 95% confidence interval, 1.61-1.81). The cancer incidence rate (incidence rate ratio [IRR], 3.27) was especially high in younger dialysis patients (aged 0-29 years). The most common malignancy of end-stage renal disease patients and controls was colorectal cancer. The major primary cancer sites in dialysis patients were liver and stomach, followed by the lung, kidney, and urinary tract. Kidney cancer exhibited the highest IRR (6.75), followed by upper urinary tract (4.00) and skin cancer (3.38). The rates of prostate cancer (0.54) and oropharyngeal cancer (0.72) were lower than those in the general population. CONCLUSION Dialysis patients exhibited a higher incidence of malignancy than controls. Dialysis patients should be screened in terms of colorectal, liver, lung, kidney and urinary tract malignancies in dialysis clinics.
Collapse
Affiliation(s)
- Soon Kil Kwon
- Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Joung Ho Han
- Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Hye Young Kim
- Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Gilwon Kang
- Graduate School of Health Science Business Convergence, Chungbuk National University, Cheongju, Korea
- Department of Health Information and Management, Chungbuk National University College of Medicine, Cheongju, Korea.
| | - Minseok Kang
- Department of Health Information and Management, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Yeonkook J Kim
- College of Business, Chungbuk National University, Cheongju, Korea
| | - Jinsoo Min
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Korea
| |
Collapse
|
29
|
Abu-Khalaf MM, Safonov A, Stratton J, Wang S, Hatzis C, Park E, Pusztai L, Gross CP, Russell R. Examining the cost-effectiveness of baseline left ventricular function assessment among breast cancer patients undergoing anthracycline-based therapy. Breast Cancer Res Treat 2019; 176:261-270. [PMID: 31020471 DOI: 10.1007/s10549-019-05178-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 02/19/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND There is a lack of consensus to guide which breast cancer patients require left ventricular function assessment (LVEF) prior to anthracycline therapy; the cost-effectiveness of screening this patient population has not been previously evaluated. METHODS We performed a retrospective analysis of the Yale Nuclear Cardiology Database, including 702 patients with baseline equilibrium radionuclide angiography (ERNA) scan prior to anthracycline and/or trastuzumab therapy. We sought to examine associations between abnormal baseline LVEF and potential cardiac risk factors. Additionally, we designed a Markov model to determine the incremental cost-effectiveness ratio (ICER) of ERNA screening for women aged 55 with stage I-III breast cancer from a payer perspective over a lifetime horizon. RESULTS An abnormal LVEF was observed in 2% (n = 14) of patients. There were no significant associations on multivariate analysis performed on self-reported risk factors. Our analysis showed LVEF screening is cost-effective with ICER of $45,473 per QALY gained. For a willingness-to-pay threshold of $100,000/ QALY, LVEF screening had an 81.9% probability of being cost-effective. Under the same threshold, screening was cost-effective for non-anthracycline cardiotoxicity risk of RR ≤ 0.58, as compared to anthracycline regimens. CONCLUSIONS Age, preexisting cardiac risk factors and coronary artery disease did not predict a baseline abnormal LVEF. While the prevalence of an abnormal baseline LVEF is low in patients with breast cancer, our results suggest that cardiac screening prior to anthracycline is cost-effective.
Collapse
Affiliation(s)
- Maysa M Abu-Khalaf
- Section of Solid Tumors, Sidney Kimmel Cancer Center, Thomas Jefferson University, 1025 Walnut Street, 7th Floor, Philadelphia, PA, 19107, USA.
| | - Anton Safonov
- Hospital of University of Pennsylvania, Philadelphia, PA, USA
| | | | - Shiyi Wang
- Yale University School of Public Health, New Haven, CT, USA
- Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale University School of Medicine, New Haven, CT, USA
| | - Christos Hatzis
- Section of Medical Oncology, Yale University School of Medicine, New Haven, CT, USA
| | - Esther Park
- Diagnostic Radiology Department, UCLA, Los Angeles, CA, USA
| | - Lajos Pusztai
- Section of Medical Oncology, Yale University School of Medicine, New Haven, CT, USA
| | - Cary P Gross
- Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale University School of Medicine, New Haven, CT, USA
| | - Raymond Russell
- Cardiovascular Institute of Rhode Island, Warren Alpert Medical School of Brown University, Providence, RI, USA
| |
Collapse
|
30
|
Chien CR, Geynisman DM, Kim B, Xu Y, Shih YCT. Economic Burden of Renal Cell Carcinoma-Part I: An Updated Review. PHARMACOECONOMICS 2019; 37:301-331. [PMID: 30467701 PMCID: PMC6886358 DOI: 10.1007/s40273-018-0746-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
BACKGROUND The economic burden of renal cell carcinoma (RCC) had been reported to be significant in a previous review published in 2011. OBJECTIVE The objective of this study was to perform an updated review by synthesizing economic studies related to the treatment of RCC that have been published since the previous review. METHODS We performed a literature search in PubMed, EMBASE, and the Cochrane Library, covering English-language studies published between June 2010 and August 2018. We categorized these articles by type of analyses [cost-effectiveness analysis (CEA), cost analysis, and cost of illness (COI)] and treatment setting (cancer status and treatment), discussed findings from these articles, and synthesized information from each article in summary tables. RESULTS We identified 52 studies from 2317 abstracts/titles deemed relevant from the initial search, including 21 CEA, 23 cost analysis, and 8 COI studies. For localized RCC, costs were found to be positively associated with the aggressiveness of the local treatment. For metastatic RCC (mRCC), pazopanib was reported to be cost effective in the first-line setting. We also found that the economic burden of RCC has increased over time. CONCLUSION RCC continues to impose a substantial economic burden to the healthcare system. Despite the large number of treatment alternatives now available for advanced RCC, the cost effectiveness and budgetary impact of many new agents remain unknown and warrant greater attention in future research.
Collapse
Affiliation(s)
- Chun-Ru Chien
- Department of Radiation Oncology, China Medical University Hospital, Taichung, Taiwan
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Daniel M Geynisman
- Department of Medical Oncology, Fox Chase Cancer Center, Temple Health, Philadelphia, PA, USA
| | - Bumyang Kim
- Section of Cancer Economics and Policy, Department of Health Services Research, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1444, Houston, TX, 77030, USA
| | - Ying Xu
- Section of Cancer Economics and Policy, Department of Health Services Research, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1444, Houston, TX, 77030, USA
| | - Ya-Chen Tina Shih
- Section of Cancer Economics and Policy, Department of Health Services Research, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1444, Houston, TX, 77030, USA.
| |
Collapse
|
31
|
Polesel J, Lupato V, Collarile P, Vaccher E, Fanetti G, Giacomarra V, Palazzari E, Furlan C, Matrone F, Navarria F, Gobitti C, Minatel E, Serraino D, Birri S, Franchin G. Direct health-care cost of head and neck cancers: a population-based study in north-eastern Italy. Med Oncol 2019; 36:31. [PMID: 30815763 DOI: 10.1007/s12032-019-1256-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 02/12/2019] [Indexed: 11/29/2022]
Abstract
Improvements in prognosis of head-and-neck squamous cell carcinoma (HNSCC) have paralleled with an increase in health-care costs, so that an economic evaluation is of growing importance. Presently, most of the evidence is from insurance-based studies in the USA. Between 2007 and 2010, 879 HNSCC patients were identified through the population-based cancer registry of the Friuli Venezia Giulia region, including 266 oral, 187 oropharyngeal, 136 hypopharyngeal, and 290 laryngeal cancers. Health-care costs from diagnosis to treatment initiation and in the following 2 years were retrieved through a record linkage with the regional health data warehouse. This database collected comprehensive health information on all resident citizens. Generalized linear models with a gamma distribution and log-link function were applied to model costs. The average health-care cost from diagnosis up to 2 years after treatment initiation was €20,184 (95% confidence interval: €19,634 - 20,733). Heterogeneity emerged according to cancer site, elective treatment, and retreatment for cancer persistence/recurrence (no: €13,896; yes: €24,599; p < 0.001). An advanced stage was associated with increased costs stage (I: €12,969; II: €18,276; III: €26,229; IV: €25,574; p < 0.001) as the result of treatment complexity and elevated frequency of patients retreatment due to recurrence. These findings further support strategies to diagnose patients at an earlier cancer stage and the accurate definition of diagnostic and treatment pathways, to start treating patients when radical unimodal approach is still feasible. Besides the advantage in prognosis due to timely curative treatments, this would reduce the economic burden of cancer treatment.
Collapse
Affiliation(s)
- Jerry Polesel
- Unit of Cancer Epidemiology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Gallini 2, 33081, Aviano, PN, Italy.
| | - Valentina Lupato
- Unit of Otorhinolaryngology, Santa Maria degli Angeli General Hospital, via Montereale 24, 33170, Pordenone, PN, Italy
| | - Paolo Collarile
- Friuli Venezia Giulia Cancer Registry, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Gallini 2, 33081, Aviano, PN, Italy.,Unit of Hygiene and Public Heatlth, Department of Prevention, AAS3 "Alto Friuli-Collinare- Medio Friuli", Via Duodo 82, 33033, Codroipo, UD, Italy
| | - Emanuela Vaccher
- Unit of Medical Oncology A, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Gallini 2, 33081, Aviano, PN, Italy
| | - Giuseppe Fanetti
- Unit of Radiatherapic Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Gallini 2, 33081, Aviano, PN, Italy
| | - Vittorio Giacomarra
- Unit of Otorhinolaryngology, Santa Maria degli Angeli General Hospital, via Montereale 24, 33170, Pordenone, PN, Italy
| | - Elisa Palazzari
- Unit of Radiatherapic Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Gallini 2, 33081, Aviano, PN, Italy
| | - Carlo Furlan
- Unit of Radiotherapy, San Martino Hospital, Viale Europa 22, 32100, Belluno, BL, Italy
| | - Fabio Matrone
- Unit of Radiatherapic Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Gallini 2, 33081, Aviano, PN, Italy
| | - Federico Navarria
- Unit of Radiatherapic Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Gallini 2, 33081, Aviano, PN, Italy
| | - Carlo Gobitti
- Unit of Radiatherapic Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Gallini 2, 33081, Aviano, PN, Italy
| | - Emilio Minatel
- Unit of Radiatherapic Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Gallini 2, 33081, Aviano, PN, Italy
| | - Diego Serraino
- Unit of Cancer Epidemiology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Gallini 2, 33081, Aviano, PN, Italy
| | - Silvia Birri
- Unit of Epidemiology, AAS 5 "Friuli Occidentale", via della Vecchia Ceramica 1, 33170, Pordenone, PN, Italy
| | - Giovanni Franchin
- Unit of Radiatherapic Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Gallini 2, 33081, Aviano, PN, Italy
| |
Collapse
|
32
|
Tina Shih YC, Dong W, Xu Y, Shen Y. Assessing the Cost-Effectiveness of Updated Breast Cancer Screening Guidelines for Average-Risk Women. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2019; 22:185-193. [PMID: 30711063 DOI: 10.1016/j.jval.2018.07.880] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 07/11/2018] [Accepted: 07/16/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND Several specialty societies have recently updated their breast cancer screening guidelines in late 2015/early 2016. OBJECTIVES To evaluate the cost-effectiveness of US-based mammography screening guidelines. METHODS We developed a microsimulation model to generate the natural history of invasive breast cancer and capture how screening and treatment modified the natural course of the disease. We used the model to assess the cost-effectiveness of screening strategies, including annual screening starting at the age of 40 years, biennial screening starting at the age of 50 years, and a hybrid strategy that begins screening at the age of 45 years and transitions to biennial screening at the age of 55 years, combined with three cessation ages: 75 years, 80 years, and no upper age limit. Findings were summarized as incremental cost-effectiveness ratio (cost per quality-adjusted life-year [QALY]) and cost-effectiveness acceptability frontier. RESULTS The screening strategy that starts annual mammography at the age of 45 years and switches to biennial screening between the ages of 55 and 75 years was the most cost-effective, yielding an incremental cost-effectiveness ratio of $40,135/QALY. Probabilistic analysis showed that the hybrid strategy had the highest probability of being optimal when the societal willingness to pay was between $44,000/QALY and $103,500/QALY. Within the range of commonly accepted societal willingness to pay, no optimal strategy involved screening with a cessation age of 80 years or older. CONCLUSIONS The screening strategy built on a hybrid design is the most cost-effective for average-risk women. By considering the balance between benefits and harms in forming its recommendations, this hybrid screening strategy has the potential to optimize the health care system's investment in the early detection and treatment of breast cancer.
Collapse
Affiliation(s)
- Ya-Chen Tina Shih
- Section of Cancer Economics and Policy, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Wenli Dong
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ying Xu
- Section of Cancer Economics and Policy, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yu Shen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| |
Collapse
|
33
|
Blakely T, Kvizhinadze G, Atkinson J, Dieleman J, Clarke P. Health system costs for individual and comorbid noncommunicable diseases: An analysis of publicly funded health events from New Zealand. PLoS Med 2019; 16:e1002716. [PMID: 30620729 PMCID: PMC6324792 DOI: 10.1371/journal.pmed.1002716] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 11/15/2018] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND There is little systematic assessment of how total health expenditure is distributed across diseases and comorbidities. The objective of this study was to use statistical methods to disaggregate all publicly funded health expenditure by disease and comorbidities in order to answer three research questions: (1) What is health expenditure by disease phase for noncommunicable diseases (NCDs) in New Zealand? (2) Is the cost of having two NCDs more or less than that expected given the independent costs of each NCD? (3) How is total health spending disaggregated by NCDs across age and by sex? METHODS AND FINDINGS We used linked data for all adult New Zealanders for publicly funded events, including hospitalisation, outpatient, pharmaceutical, laboratory testing, and primary care from 1 July 2007 to 30 June 2014. These data include 18.9 million person-years and $26.4 billion in spending (US$ 2016). We used case definition algorithms to identify if a person had any of six NCDs (cancer, cardiovascular disease [CVD], diabetes, musculoskeletal, neurological, and a chronic lung/liver/kidney [LLK] disease). Indicator variables were used to identify the presence of any of the 15 possible comorbidity pairings of these six NCDs. Regression was used to estimate excess annual health expenditure per person. Cause deletion methods were used to estimate total population expenditure by disease. A majority (59%) of health expenditure was attributable to NCDs. Expenditure due to diseases was generally highest in the year of diagnosis and year of death. A person having two diseases simultaneously generally had greater health expenditure than the expected sum of having the diseases separately, for all 15 comorbidity pairs except the CVD-cancer pair. For example, a 60-64-year-old female with none of the six NCDs had $633 per annum expenditure. If she had both CVD and chronic LLK, additional expenditure for CVD separately was $6,443/$839/$9,225 for the first year of diagnosis/prevalent years/last year of life if dying of CVD; additional expenditure for chronic LLK separately was $6,443/$1,291/$9,051; and the additional comorbidity expenditure of having both CVD and LLK was $2,456 (95% confidence interval [CI] $2,238-$2,674). The pattern was similar for males (e.g., additional comorbidity expenditure for a 60-64-year-old male with CVD and chronic LLK was $2,498 [95% CI $2,264-$2,632]). In addition to this, the excess comorbidity costs for a person with two diseases was greater at younger ages, e.g., excess expenditure for 45-49-year-old males with CVD and chronic LLK was 10 times higher than for 75-79-year-old males and six times higher for females. At the population level, 23.8% of total health expenditure was attributable to higher costs of having one of the 15 comorbidity pairs over and above the six NCDs separately; of the remaining expenditure, CVD accounted for 18.7%, followed by musculoskeletal (16.2%), neurological (14.4%), cancer (14.1%), chronic LLK disease (7.4%), and diabetes (5.5%). Major limitations included incomplete linkage to all costed events (although these were largely non-NCD events) and missing private expenditure. CONCLUSIONS The costs of having two NCDs simultaneously is typically superadditive, and more so for younger adults. Neurological and musculoskeletal diseases contributed the largest health system costs, in accord with burden of disease studies finding that they contribute large morbidity. Just as burden of disease methodology has advanced the understanding of disease burden, there is a need to create disease-based costing studies that facilitate the disaggregation of health budgets at a national level.
Collapse
Affiliation(s)
- Tony Blakely
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, Department of Public Health, University of Otago, Wellington, New Zealand
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- * E-mail:
| | - Giorgi Kvizhinadze
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, Department of Public Health, University of Otago, Wellington, New Zealand
| | - June Atkinson
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, Department of Public Health, University of Otago, Wellington, New Zealand
| | - Joseph Dieleman
- Institute of Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America
| | - Philip Clarke
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| |
Collapse
|
34
|
Shah S, Young HN, Cobran EK. An economic evaluation of conservative management and cryotherapy in patients with localized prostate cancer. JOURNAL OF PHARMACEUTICAL HEALTH SERVICES RESEARCH 2018. [DOI: 10.1111/jphs.12248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Surbhi Shah
- Division of Pharmaceutical Health Services, Outcomes, and Policy; College of Pharmacy; University of Georgia; Athens GA USA
| | - Henry N. Young
- Division of Pharmaceutical Health Services, Outcomes, and Policy; College of Pharmacy; University of Georgia; Athens GA USA
| | - Ewan K. Cobran
- Division of Pharmaceutical Health Services, Outcomes, and Policy; College of Pharmacy; University of Georgia; Athens GA USA
| |
Collapse
|
35
|
Alibhai SMH, Ritvo P, Santa Mina D, Sabiston C, Krahn M, Tomlinson G, Matthew A, Lukka H, Warde P, Durbano S, O’Neill M, Culos-Reed SN. Protocol for a phase III RCT and economic analysis of two exercise delivery methods in men with PC on ADT. BMC Cancer 2018; 18:1031. [PMID: 30352568 PMCID: PMC6199786 DOI: 10.1186/s12885-018-4937-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 10/10/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Androgen deprivation therapy (ADT) is commonly used to treat prostate cancer. However, side effects of ADT often lead to reduced quality of life and physical function. Existing evidence demonstrates that exercise can ameliorate multiple treatment-related side effects for men on ADT, yet adherence rates are often low. The method of exercise delivery (e.g., supervised group in-centre vs. individual home-based) may be important from clinical and economic perspectives; however, few studies have compared different delivery models. Additionally, long-term exercise adherence and an understanding of predictors of adherence are critical to achieving sustained benefits, but such data are lacking. The primary aim of this multi-centre phase III non-inferiority randomized controlled trial is to determine whether a home-based delivery model is non-inferior to a group-based delivery model in terms of benefits in fatigue and fitness in this population. Two other key aims include examining cost-effectiveness and long-term adherence. METHODS Men diagnosed with prostate cancer of any stage, starting or continuing on ADT for at least 6 months, fluent in English, and living close to a study centre are eligible. Participants complete five assessments over 12 months (baseline and every 3 months during the 6-month intervention and 6-month follow-up phases), including a fitness assessment and self-report questionnaires. Biological outcomes are collected at baseline, 6, and 12 months. A total of 200 participants will be randomized in a 1:1 fashion to supervised group training or home-based training supported by smartphones, health coaches, and Fitbit technology. Participants are asked to complete 4 to 5 exercise sessions per week, incorporating aerobic, resistance and flexibility training. Outcomes include fatigue, quality of life, fitness measures, body composition, biological outcomes, and program adherence. Cost information will be obtained using patient diary-based self-report and utilities via the EQ-5D. DISCUSSION To disseminate publicly funded exercise programs widely, clinical efficacy and cost-effectiveness have to be demonstrated. The goals of this trial are to provide these data along with an increased understanding of adherence to exercise among men with prostate cancer receiving ADT. TRIAL REGISTRATION The trial has been registered at clinicaltrials.gov (Registration # NCT02834416 ). Registration date was June 2, 2016.
Collapse
Affiliation(s)
- Shabbir M. H. Alibhai
- University Health Network, Toronto, ON M5G 2C4 Canada
- University of Toronto, Toronto, ON M5S 2J7 Canada
- Toronto General Hospital, 200 Elizabeth St Room EN14-214, Toronto, ON M5G 2C4 Canada
| | - Paul Ritvo
- Cancer Care Ontario, Toronto, ON M5G 2L3 Canada
| | - Daniel Santa Mina
- University Health Network, Toronto, ON M5G 2C4 Canada
- University of Toronto, Toronto, ON M5S 2J7 Canada
| | | | - Murray Krahn
- University Health Network, Toronto, ON M5G 2C4 Canada
- University of Toronto, Toronto, ON M5S 2J7 Canada
| | - George Tomlinson
- University Health Network, Toronto, ON M5G 2C4 Canada
- University of Toronto, Toronto, ON M5S 2J7 Canada
| | | | - Himu Lukka
- The Juravinski Cancer Centre, Hamilton, ON L8V 5C2 Canada
| | - Padraig Warde
- University Health Network, Toronto, ON M5G 2C4 Canada
- University of Toronto, Toronto, ON M5S 2J7 Canada
- Cancer Care Ontario, Toronto, ON M5G 2L3 Canada
| | - Sara Durbano
- University Health Network, Toronto, ON M5G 2C4 Canada
| | | | | |
Collapse
|
36
|
Grosse SD. How Economic Findings Can Inform Prevention Research in Cardiovascular Disease. Am J Prev Med 2017; 53:S118-S120. [PMID: 29153112 PMCID: PMC6033324 DOI: 10.1016/j.amepre.2017.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 07/21/2017] [Accepted: 08/08/2017] [Indexed: 11/18/2022]
Affiliation(s)
- Scott D Grosse
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia.
| |
Collapse
|
37
|
Chen AB, Li L, Cronin AM, Brooks GA, Kavanagh BD, Schrag D. Estimating Costs of Care Attributable to Cancer: Does the Choice of Comparison Group Matter? Health Serv Res 2017; 53 Suppl 1:3227-3244. [PMID: 28858372 DOI: 10.1111/1475-6773.12760] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE To compare alternative strategies for specifying cancer-free control cohorts for estimating cancer-attributable costs of care. DATA SOURCE, STUDY DESIGN, DATA EXTRACTION Secondary data analysis of Surveillance, Epidemiology, and End Results data linked to Medicare claims among patients diagnosed with colorectal, lung, breast, and prostate cancers, 2007-2011. We estimated cancer-attributable costs using three alternative reference cohorts: (1) noncancer Medicare patients individually matched by demographic characteristics, (2) noncancer patients individually matched on demographic factors and comorbidity score, (3) cancer patients as their own control, using prediagnosis costs. PRINCIPAL FINDINGS Among 44,266 colorectal, 61,584 lung, 55,921 breast, and 67,733 prostate patients, mean total Medicare spending in the first year of diagnosis was $59,496, $54,261, $31,895, and $26,305, respectively. Estimates of cancer-attributable costs ranged from 79 percent to 82 percent of spending for colorectal, 76 percent-79 percent for lung, 65 percent-74 percent for breast, and 60 percent-75 percent for prostate cancers, depending on the reference cohort used. For all cancers, estimates were higher when patients were used as their own control, compared to demographic and comorbidity-matched controls. CONCLUSIONS Choice of reference group can have a substantial impact on proportion of total costs attributed to cancer and should be clearly defined in analyses of the costs of cancer care.
Collapse
Affiliation(s)
- Aileen B Chen
- Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA
| | - Ling Li
- Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | | |
Collapse
|
38
|
Mitsakakis N, Tomlinson G. Bayesian regression models for the estimation of net cost of disease using aggregate data. Stat Methods Med Res 2017; 26:1110-1129. [PMID: 25616479 DOI: 10.1177/0962280214568110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Estimation of net costs attributed to a disease or other health condition is very important for health economists and policy makers. Skewness and heteroscedasticity are well-known characteristics for cost data, making linear models generally inappropriate and dictating the use of other types of models, such as gamma regression. Additional hurdles emerge when individual level data are not available. In this paper, we consider the latter case were data are only available at the aggregate level, containing means and standard deviations for different strata defined by a number of demographic and clinical factors. We summarize a number of methods that can be used for this estimation, and we propose a Bayesian approach that utilizes the sample stratum specific standard deviations as stochastic. We investigate the performance of two linear mixed models, comparing them with two proposed gamma regression mixed models, to analyze simulated data generated by gamma and log-normal distributions. Our proposed Bayesian approach seems to have significant advantages for net cost estimation when only aggregate data are available. The implemented gamma models do not seem to offer the expected benefits over the linear models; however, further investigation and refinement is needed.
Collapse
Affiliation(s)
- Nicholas Mitsakakis
- 1 Toronto Health Economics and Technology Assessment (THETA) Collaborative, University of Toronto, Toronto, ON, Canada
- 2 Leslie Dan Faculty of Pharmacy, University of Toronto, ON, Canada
- 3 Department of Anesthesia and Pain Management, Toronto General Hospital, Toronto, ON, Canada
| | - George Tomlinson
- 4 Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- 5 Department of Medicine, University Health Network and Mt Sinai Hospital, ON, Canada
| |
Collapse
|
39
|
Allaire BT, Ekwueme DU, Poehler D, Thomas CC, Guy GP, Subramanian S, Trogdon JG. Breast cancer treatment costs in younger, privately insured women. Breast Cancer Res Treat 2017; 164:429-436. [PMID: 28432514 DOI: 10.1007/s10549-017-4249-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 04/13/2017] [Indexed: 01/05/2023]
Abstract
PURPOSE Younger women (under age 45 years) diagnosed with breast cancer often face more aggressive tumors, higher treatment intensity, lower survival rates, and greater financial hardship. The purpose of this study was to estimate breast cancer costs by stage at diagnosis during the first 18 months of treatment for privately insured younger women. METHODS We analyzed North Carolina cancer registry data linked to claims data from private insurers from 2003 to 2010. Breast cancer patients were split into two cohorts: a younger and older group aged 21-44 and 45-64 years, respectively. We conducted a cohort study and matched women with and without breast cancer using age, ZIP, and Charlson Comorbidity Index. We calculated mean excess costs between breast cancer and non-breast cancer patients at 6, 12, and 18 months. RESULTS For younger women, AJCC 6th edition stage II cancer was the most common at diagnosis (40%), followed by stage I (34%). On the other hand, older women had more stage I (46%) cancer followed by stage II (34%). The excess costs for younger and older women at 12 months were $97,486 (95% confidence interval [CI] $93,631-101,341) and $75,737 (95% CI $73,962-77,512), respectively. Younger breast cancer patients had both a higher prevalence of later-stage disease and higher within-stage costs. CONCLUSIONS The study reports high costs of treatment for both younger and older women than a non-cancer comparison group; however, the estimated excess cost was significantly higher for younger women. The financial implications of breast cancer treatment costs for younger women need to be explored in future studies.
Collapse
Affiliation(s)
- Benjamin T Allaire
- RTI International, Research Triangle Park, 3040 East Cornwallis Road, Durham, NC, 27709, USA.
| | | | - Diana Poehler
- RTI International, Research Triangle Park, 3040 East Cornwallis Road, Durham, NC, 27709, USA
| | | | - Gery P Guy
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Sujha Subramanian
- RTI International, Research Triangle Park, 3040 East Cornwallis Road, Durham, NC, 27709, USA
| | | |
Collapse
|
40
|
Nanwa N, Sander B, Krahn M, Daneman N, Lu H, Austin PC, Govindarajan A, Rosella LC, Cadarette SM, Kwong JC. A population-based matched cohort study examining the mortality and costs of patients with community-onset Clostridium difficile infection identified using emergency department visits and hospital admissions. PLoS One 2017; 12:e0172410. [PMID: 28257438 PMCID: PMC5336215 DOI: 10.1371/journal.pone.0172410] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 01/17/2017] [Indexed: 01/05/2023] Open
Abstract
Few studies have evaluated the mortality or quantified the economic burden of community-onset Clostridium difficile infection (CDI). We estimated the attributable mortality and costs of community-onset CDI. We conducted a population-based matched cohort study. We identified incident subjects with community-onset CDI using health administrative data (emergency department visits and hospital admissions) in Ontario, Canada between January 1, 2003 and December 31, 2010. We propensity-score matched each infected subject to one uninfected subject and followed subjects in the cohort until December 31, 2011. We evaluated all-cause mortality and costs (unadjusted and adjusted for survival) from the healthcare payer perspective (2014 Canadian dollars). During our study period, we identified 7,950 infected subjects. The mean age was 63.5 years (standard deviation = 22.0), 62.7% were female, and 45.0% were very high users of the healthcare system. The relative risk for 30-day, 180-day, and 1-year mortality were 7.32 (95% confidence interval [CI], 5.94-9.02), 3.55 (95%CI, 3.17-3.97), and 2.59 (95%CI, 2.37-2.83), respectively. Mean attributable cumulative 30-day, 180-day, and 1-year costs (unadjusted for survival) were $7,434 (95%CI, $7,122-$7,762), $12,517 (95%CI, $11,687-$13,366), and $13,217 (95%CI, $12,062-$14,388). Mean attributable cumulative 1-, 2-, and 3-year costs (adjusted for survival) were $10,700 (95%CI, $9,811-$11,645), $13,312 (95%CI, $12,024-$14,682), and $15,812 (95%CI, $14,159-$17,571). Infected subjects had considerably higher risk of all-cause mortality and costs compared with uninfected subjects. This study provides insight on an understudied patient group. Our study findings will facilitate assessment of interventions to prevent community-onset CDI.
Collapse
Affiliation(s)
- Natasha Nanwa
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada
- Toronto Health Economics and Technology Assessment Collaborative, Toronto, Canada
- * E-mail:
| | - Beate Sander
- Toronto Health Economics and Technology Assessment Collaborative, Toronto, Canada
- Public Health Ontario, Toronto, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
| | - Murray Krahn
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada
- Toronto Health Economics and Technology Assessment Collaborative, Toronto, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
- University Health Network, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Nick Daneman
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
- Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Hong Lu
- Institute for Clinical Evaluative Sciences, Toronto, Canada
| | - Peter C. Austin
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
- Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Anand Govindarajan
- Institute for Clinical Evaluative Sciences, Toronto, Canada
- Mount Sinai Hospital, Toronto, Canada
- Division of General Surgery, Department of Surgery, University of Toronto, Toronto, Canada
| | - Laura C. Rosella
- Public Health Ontario, Toronto, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Suzanne M. Cadarette
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
| | - Jeffrey C. Kwong
- Public Health Ontario, Toronto, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
- University Health Network, Toronto, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Canada
| |
Collapse
|
41
|
Capri S, Russo A. Cost of breast cancer based on real-world data: a cancer registry study in Italy. BMC Health Serv Res 2017; 17:84. [PMID: 28122558 PMCID: PMC5267401 DOI: 10.1186/s12913-017-2006-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 01/12/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In European countries, it is difficult for local health organizations to determine the resources allocated to different hospitals for breast cancer. The aim of the current study was to examine the costs of breast cancer during the different phases of the diagnostictherapeutic sequence based on real world data. METHODS To identify breast cancer cases diagnosed between 2007 and 2011, we used the cancer registry of the Agency for Health Protection of the Province of Milan (3.2 million inhabitants). A generalized linear model controlling for patient age, cancer stage and Charlson co-morbidity index was used to calculate the adjusted mean costs for each hospital and for each study phase. Regression analyses were based on dependent variables of individual costs (diagnosis, treatment, follow-up and total cost were logtransformed. The following independent variables were included as covariates: age at diagnosis, hospital volume, stage, job category, educational level, marital status, comorbidities, deprivation index. Total and mean costs were computed for several variables and for each phase. On average for each subject, the costs were collected over 2.5 years. RESULTS A total of 12,580 breast cancer cases were studied. The mean cost of diagnosis was €414, the mean cost of treatment was €8,780, the mean overall cost of follow-up was approximately €2,351, and the mean total direct medical cost was €10,970. The age of the patients, stage of tumor and employment level of the patient were significantly correlated with the variability of the costs. The highest variability in costs was observed for the follow-up costs, in which 38% of hospitals fell outside the 95% confidence interval. In the overspending-hospitals, patients received an intensive follow-up regimen with scintigraphy and thoracic CAT (computerized axial tomography). CONCLUSIONS In this study, which represents the first population-level study of its kind in Italy, we estimated all direct medical costs for the 6-month period before the diagnosis of breast cancer and the first two years after diagnosis. Patients were identified from the local cancer registry. The analysis offers insight into the utilization of resources incurred by one major area of interest of cancer care in Italy.
Collapse
Affiliation(s)
- Stefano Capri
- School of Economics and Business, Cattaneo-LIUC University, Corso Matteotti 22, 21053 Castellanza, VA Italy
| | - Antonio Russo
- Epidemiology Unit, Agency for Health Protection of the Province of Milan, C.so Italia 19, 20122 Milan, Italy
| |
Collapse
|
42
|
Cost-of-illness models for venous thromboembolism: One size does not fit all. Thromb Res 2016; 145:65-6. [PMID: 27494774 DOI: 10.1016/j.thromres.2016.07.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 07/28/2016] [Accepted: 07/29/2016] [Indexed: 11/20/2022]
|
43
|
Hogan ME, Taddio A, Katz J, Shah V, Krahn M. Incremental health care costs for chronic pain in Ontario, Canada: a population-based matched cohort study of adolescents and adults using administrative data. Pain 2016; 157:1626-33. [DOI: 10.1097/j.pain.0000000000000561] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
44
|
Zheng Z, Yabroff KR, Guy GP, Han X, Li C, Banegas MP, Ekwueme DU, Jemal A. Annual Medical Expenditure and Productivity Loss Among Colorectal, Female Breast, and Prostate Cancer Survivors in the United States. J Natl Cancer Inst 2015; 108:djv382. [PMID: 26705361 DOI: 10.1093/jnci/djv382] [Citation(s) in RCA: 103] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Accepted: 11/06/2015] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND There are limited nationally representative estimates of the annual economic burden among survivors of the three most prevalent cancers (colorectal, female breast, and prostate) in both nonelderly and elderly populations in the United States. METHODS The 2008 to 2012 Medical Expenditure Panel Survey data were used to identify colorectal (n = 540), female breast (n = 1568), and prostate (n = 1170) cancer survivors and individuals without a cancer history (n = 109 423). Excess economic burden attributable to cancer included per-person excess annual medical expenditures and productivity losses (employment disability, missed work days, and days stayed in bed). All analyses were stratified by cancer site and age (nonelderly: 18-64 years vs elderly: ≥ 65 years). Multivariable analyses controlled for age, sex, race/ethnicity, marital status, education, number of comorbidities, and geographic region. All statistical tests were two-sided. RESULTS Compared with individuals without a cancer history, cancer survivors experienced annual excess medical expenditures (for the nonelderly population, colorectal: $8647, 95% confidence interval [CI] = $4932 to $13 974, P < .001; breast: $5119, 95% CI = $3439 to $7158, P < .001; prostate: $3586, 95% CI = $1792 to $6076, P < .001; for the elderly population, colorectal: $4913, 95% CI = $2768 to $7470, P < .001; breast: $2288, 95% CI = $814 to $3995, P = .002; prostate: $3524, 95% CI = $1539 to $5909, P < .001). Nonelderly colorectal and breast cancer survivors experienced statistically significant annual excess employment disability (13.6%, P < .001, and 4.8%, P = .001) and productivity loss at work (7.2 days, P < .001, and 3.3 days, P = .002) and at home (4.5 days, P < .001, and 3.3 days, P = .003). In contrast, elderly survivors of all three cancer sites had comparable productivity losses as those without a cancer history. CONCLUSIONS Colorectal, breast, and prostate cancer survivors experienced statistically significantly higher economic burden compared with individuals without a cancer history; however, excess economic burden varies by cancer site and age. Targeted efforts will be important in reducing the economic burden of colorectal, breast, and prostate cancer.
Collapse
Affiliation(s)
- Zhiyuan Zheng
- Affiliations of authors:Surveillance and Health Services Research Program, American Cancer Society , Atlanta, GA (ZZ, XH, AJ); Division of Cancer Control and Population Sciences, National Cancer Institute , Bethesda, MD (KRY); Division of Cancer Prevention and Control, Centers for Disease Control and Prevention , Atlanta, GA (GPGJr, CL, DUE); The Center for Health Research, Kaiser Permanente , Portland, OR (MPB)
| | - K Robin Yabroff
- Affiliations of authors:Surveillance and Health Services Research Program, American Cancer Society , Atlanta, GA (ZZ, XH, AJ); Division of Cancer Control and Population Sciences, National Cancer Institute , Bethesda, MD (KRY); Division of Cancer Prevention and Control, Centers for Disease Control and Prevention , Atlanta, GA (GPGJr, CL, DUE); The Center for Health Research, Kaiser Permanente , Portland, OR (MPB)
| | - Gery P Guy
- Affiliations of authors:Surveillance and Health Services Research Program, American Cancer Society , Atlanta, GA (ZZ, XH, AJ); Division of Cancer Control and Population Sciences, National Cancer Institute , Bethesda, MD (KRY); Division of Cancer Prevention and Control, Centers for Disease Control and Prevention , Atlanta, GA (GPGJr, CL, DUE); The Center for Health Research, Kaiser Permanente , Portland, OR (MPB)
| | - Xuesong Han
- Affiliations of authors:Surveillance and Health Services Research Program, American Cancer Society , Atlanta, GA (ZZ, XH, AJ); Division of Cancer Control and Population Sciences, National Cancer Institute , Bethesda, MD (KRY); Division of Cancer Prevention and Control, Centers for Disease Control and Prevention , Atlanta, GA (GPGJr, CL, DUE); The Center for Health Research, Kaiser Permanente , Portland, OR (MPB)
| | - Chunyu Li
- Affiliations of authors:Surveillance and Health Services Research Program, American Cancer Society , Atlanta, GA (ZZ, XH, AJ); Division of Cancer Control and Population Sciences, National Cancer Institute , Bethesda, MD (KRY); Division of Cancer Prevention and Control, Centers for Disease Control and Prevention , Atlanta, GA (GPGJr, CL, DUE); The Center for Health Research, Kaiser Permanente , Portland, OR (MPB)
| | - Matthew P Banegas
- Affiliations of authors:Surveillance and Health Services Research Program, American Cancer Society , Atlanta, GA (ZZ, XH, AJ); Division of Cancer Control and Population Sciences, National Cancer Institute , Bethesda, MD (KRY); Division of Cancer Prevention and Control, Centers for Disease Control and Prevention , Atlanta, GA (GPGJr, CL, DUE); The Center for Health Research, Kaiser Permanente , Portland, OR (MPB)
| | - Donatus U Ekwueme
- Affiliations of authors:Surveillance and Health Services Research Program, American Cancer Society , Atlanta, GA (ZZ, XH, AJ); Division of Cancer Control and Population Sciences, National Cancer Institute , Bethesda, MD (KRY); Division of Cancer Prevention and Control, Centers for Disease Control and Prevention , Atlanta, GA (GPGJr, CL, DUE); The Center for Health Research, Kaiser Permanente , Portland, OR (MPB)
| | - Ahmedin Jemal
- Affiliations of authors:Surveillance and Health Services Research Program, American Cancer Society , Atlanta, GA (ZZ, XH, AJ); Division of Cancer Control and Population Sciences, National Cancer Institute , Bethesda, MD (KRY); Division of Cancer Prevention and Control, Centers for Disease Control and Prevention , Atlanta, GA (GPGJr, CL, DUE); The Center for Health Research, Kaiser Permanente , Portland, OR (MPB)
| |
Collapse
|
45
|
Grosse SD, Nelson RE, Nyarko KA, Richardson LC, Raskob GE. The economic burden of incident venous thromboembolism in the United States: A review of estimated attributable healthcare costs. Thromb Res 2015; 137:3-10. [PMID: 26654719 DOI: 10.1016/j.thromres.2015.11.033] [Citation(s) in RCA: 356] [Impact Index Per Article: 35.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 11/04/2015] [Accepted: 11/23/2015] [Indexed: 10/22/2022]
Abstract
Venous thromboembolism (VTE), which includes deep vein thrombosis and pulmonary embolism, is an important cause of preventable mortality and morbidity. In this study, we summarize estimates of per-patient and aggregate medical costs or expenditures attributable to incident VTE in the United States. Per-patient estimates of incremental costs can be calculated as the difference in costs between patients with and without an event after controlling for differences in underlying health status. We identified estimates of the incremental per-patient costs of acute VTEs and VTE-related complications, including recurrent VTE, post-thrombotic syndrome, chronic thromboembolic pulmonary hypertension, and anticoagulation-related adverse drug events. Based on the studies identified, treatment of an acute VTE on average appears to be associated with incremental direct medical costs of $12,000 to $15,000 (2014 US dollars) among first-year survivors, controlling for risk factors. Subsequent complications are conservatively estimated to increase cumulative costs to $18,000-23,000 per incident case. Annual incident VTE events conservatively cost the US healthcare system $7-10 billion each year for 375,000 to 425,000 newly diagnosed, medically treated incident VTE cases. Future studies should track long-term costs for cohorts of people with incident VTE, control for comorbid conditions that have been shown to be associated with VTE, and estimate incremental medical costs for people with VTE who do not survive. The costs associated with treating VTE can be used to assess the potential economic benefit and cost-savings from prevention efforts, although costs will vary among different patient groups.
Collapse
Affiliation(s)
- Scott D Grosse
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Richard E Nelson
- Veterans Affairs Salt Lake City Health Care System, University of Utah Department of Internal Medicine, Salt Lake City, UT, USA
| | - Kwame A Nyarko
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Lisa C Richardson
- National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Gary E Raskob
- College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| |
Collapse
|
46
|
González-Robledo MC, Wong R, Ornelas HA, Knaul FM. Costs of breast cancer care in Mexico: analysis of two insurance coverage scenarios. Ecancermedicalscience 2015; 9:587. [PMID: 26557885 PMCID: PMC4631579 DOI: 10.3332/ecancer.2015.587] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2015] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Breast cancer (BC) is a major cause of disease and death worldwide. In addition to its contribution to mortality and disability, it is a major economic burden both public and private. OBJECTIVE To estimate the average direct medical cost/year of care for the diagnosis and treatment of BC in two coverage scenarios in Mexico: What is 'ideal' based on service usage patterns according to international guidelines and what is 'current' using the service usage patterns of suppliers in Mexico. MATERIAL AND METHODS The pattern and intensity of use of procedures for the care of BC in the Mexican Social Security Institute (IMSS) for 2009 were identified and prices were associated using the guidelines from the System of Social Protection in Health (SPSS) and the IMSS for the current scenario and the ideal scenario, international patterns (Breast Health Global Initiative BHGI after its acronym in English) were used and prices were associated from the SPSS guidelines. RESULTS The annual average direct medical cost per patient in the 'current' scenario was 8557 US$, while the cost in the 'ideal' scenario was 4554 US$. There are differences in costs between 'what we do' and 'what should be done', due to differences in the implementation of the interventions for the treatment of the different stages of the disease. A proportional increase in the average cost was also identified as the diagnosis stage advanced (from I to III). CONCLUSIONS Given that in Mexico there is universal insurance coverage for the treatment of BC, it is necessary to use economic resources more efficiently. It is necessary to continue to examine this topic in more depth and the next step will be to assess the effectiveness of both scenarios in order to provide enough evidence for the decision-making process.
Collapse
Affiliation(s)
- María Cecilia González-Robledo
- Center for Research in Health Systems, National Institute of Public Health, Av. Universidad 655 cerr. Los Pinos y Caminera, Col. Santa María Ahuacatitlán C.P. 62100, Cuernavaca, Morelos, Mexico
| | - Rebeca Wong
- WHO Collaborating Centre/PAHO Aging and Health, University of Texas Medical Branch, Texas, USA
| | - Héctor Arreola Ornelas
- Economic Research and Research Promotion Council of Competitiveness and Health, Mexican Health Foundation, Mexico
| | - Felicia Marie Knaul
- Miami Institute of Americas & Miller School of Medicine, Miami University, Miami, USA; Mexican Health Foundation & Founding President of Tómatelo a Pecho A.C., México
- At the time of writing the paper, Director of the Harvard Global Equity Initiative at Harvard University
| |
Collapse
|
47
|
Xu X, Herrin J, Soulos PR, Saraf A, Roberts KB, Killelea BK, Wang SY, Long JB, Wang R, Ma X, Gross CP. The Role of Patient Factors, Cancer Characteristics, and Treatment Patterns in the Cost of Care for Medicare Beneficiaries with Breast Cancer. Health Serv Res 2015; 51:167-86. [PMID: 26119176 DOI: 10.1111/1475-6773.12328] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE To characterize Medicare expenditures on initial breast cancer care and examine variation in expenditures across hospital referral regions (HRRs). DATA SOURCE We identified 29,110 women with localized breast cancer diagnosed in 2005-2008 and matched controls from the Surveillance, Epidemiology, and End Results-Medicare linked database. STUDY DESIGN Using hierarchical generalized linear models, we estimated per patient Medicare expenditure on initial breast cancer care across HRRs and assessed the contribution of patient, cancer, and treatment factors to regional variation via incremental models. PRINCIPAL FINDINGS Mean Medicare expenditure for initial breast cancer care was $19,255 per patient. The average expenditures varied from $15,053 in the lowest-spending HRR quintile to $23,480 in the highest-spending HRR quintile. Patient sociodemographic, comorbidity, and tumor characteristics explained only 1.8 percent of the difference in expenditures between the lowest- and highest-spending quintiles, while use of specific treatment modalities explained 14.5 percent of the difference. Medicare spending on radiation therapy differed the most across the quintiles, with the use of intensity modulated radiation therapy increasing from 1.7 percent in the lowest-spending quintile to 11.6 percent in the highest-spending quintile. CONCLUSIONS Medicare expenditures on initial breast cancer care vary substantially across regions. Treatment factors are major contributors to the variation.
Collapse
Affiliation(s)
- Xiao Xu
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, CT
| | - Jeph Herrin
- Division of Cardiology, Yale University School of Medicine, Yale Cancer Outcomes, Public Policy and Effectiveness Research Center, New Haven, CT.,Health Research & Educational Trust, Chicago, IL
| | - Pamela R Soulos
- Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, Yale Cancer Outcomes, Public Policy and Effectiveness Research Center, New Haven, CT
| | - Avantika Saraf
- Department of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, CT
| | - Kenneth B Roberts
- Department of Therapeutic Radiology, Yale University School of Medicine, Yale Cancer Outcomes, Public Policy and Effectiveness Research Center, New Haven, CT
| | - Brigid K Killelea
- Department of Surgery, Yale University School of Medicine, Yale Cancer Outcomes, Public Policy and Effectiveness Research Center, New Haven, CT
| | - Shi-Yi Wang
- Department of Chronic Disease Epidemiology, Yale University School of Public Health, Yale Cancer Outcomes, Public Policy and Effectiveness Research Center, New Haven, CT
| | - Jessica B Long
- Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, Yale Cancer Outcomes, Public Policy and Effectiveness Research Center, New Haven, CT
| | - Rong Wang
- Department of Chronic Disease Epidemiology, Yale University School of Public Health, Yale Cancer Outcomes, Public Policy and Effectiveness Research Center, New Haven, CT
| | - Xiaomei Ma
- Department of Chronic Disease Epidemiology, Yale University School of Public Health, Yale Cancer Outcomes, Public Policy and Effectiveness Research Center, New Haven, CT
| | - Cary P Gross
- Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, Yale Cancer Outcomes, Public Policy and Effectiveness Research Center, New Haven, CT
| |
Collapse
|
48
|
Abstract
Supplemental Digital Content is available in the text. Objective: To determine health system expenditure on cancers by time since diagnosis using data for an entire country. Methods: New Zealand cancer registry data was linked to hospitalization, pharmaceutical, outpatient, general practice, laboratory, and other datasets, with costs ascribed to each event occurring in 2006–2011. “Excess” cancer costs were estimated by subtracting “expected costs” for citizens without cancer from the “total cost” for cancer patients ($2011 inflation-adjusted). Gamma regressions were used to estimate costs per person-month. Results: For first adult cancer diagnosed that the excess cost per person was between US$3400 and US$4300 in the first month postdiagnosis (varied by sex and age), fell to US$50–US$150 per month at 2 or more years postdiagnosis (excluding those within a year of death), but increased again if dying from their cancer (US$3800–US$8300 in the last month of life). Such patterns varied by cancer, for example, in the first month postdiagnosis for 65 year olds it varied 20-fold from US$800 for prostate to US$15,900 for brain cancer. Per diagnosed case, total excess costs varied from US$8000 (melanoma) to US$98,000 (bone and connective tissue). Excess cancer costs made up 6.5% of total Vote:Health expenditure in 2010–2011, with colorectal (14.7%), breast (14.4%) being the top 2 contributors, and prostate, non-Hodgkin lymphoma, leukemia, and lung each contributing about 6%. Conclusions: Costs vary substantially by time since diagnosis and cancer type. The results and regression equations reported in this paper can be used in modeling requiring cancer costs by time since diagnosis and proximity to death.
Collapse
|
49
|
Crocetti E, De Angelis R, Buzzoni C, Mariotto A, Storm H, Colonna M, Zanetti R, Serraino D, Michiara M, Cirilli C, Iannelli A, Mazzoleni G, Sechi O, Sanoja Gonzalez ME, Guzzinati S, Capocaccia R, Dal Maso L, AIRTUM Working group 17. Cancer prevalence in United States, Nordic Countries, Italy, Australia, and France: an analysis of geographic variability. Br J Cancer 2013; 109:219-28. [PMID: 23799856 PMCID: PMC3708570 DOI: 10.1038/bjc.2013.311] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2013] [Revised: 05/28/2013] [Accepted: 05/28/2013] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The objectives of this study were to quantitatively assess the geographic heterogeneity of cancer prevalence in selected Western Countries and to explore the associations between its determinants. METHODS For 20 cancer sites, 5-year cancer prevalence, incidence, and survival were observed and age standardised for the mid 2000s in the United States, Nordic European Countries, Italy, Australia, and France. RESULTS In Italy, 5-year crude prevalence for all cancers was 1.9% in men and 1.7% in women, while it was ∼1.5% in all other countries and sexes. After adjustment for the different age distribution of the populations, cancer prevalence in the United States was higher (20% in men and 10% in women) than elsewhere. For all cancers combined, the geographic heterogeneities were limited, though relevant for specific cancers (e.g., prostate, showing >30% higher prevalence in the United States, or lung, showing >50% higher prevalence in USA women than in other countries). For all countries, the correlations between differences of prevalence and differences of incidence were >0.9, while prevalence and survival were less consistently correlated. CONCLUSION Geographic differences and magnitude of crude cancer prevalence were more strongly associated with incidence rates, influenced by population ageing, than with survival rates. These estimates will be helpful in allocating appropriate resources.
Collapse
Affiliation(s)
- E Crocetti
- Tuscany Cancer Registry, UO di Epidemiologia Clinica e Descrittiva, Istituto per lo Studio e la Prevenzione Oncologica (ISPO), Via delle Oblate 2, 50141 Florence, Italy
| | - R De Angelis
- Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute (CNESPS), Istituto Superiore Sanità (ISS), Rome, Italy
| | - C Buzzoni
- Tuscany Cancer Registry, UO di Epidemiologia Clinica e Descrittiva, Istituto per lo Studio e la Prevenzione Oncologica (ISPO), Via delle Oblate 2, 50141 Florence, Italy
- AIRTUM Database, Florence, Italy
| | - A Mariotto
- Surveillance Research Program, Division of Cancer Control and Population Sciences, NCI, Bethesda, MD, USA
| | - H Storm
- Danish Cancer Society, Kræftens Bekæmpelse, Strandboulevarden 49, 2100 København Ø, Denmark
| | - M Colonna
- Isere Cancer Registry, Pavillon E, CHU GRENOBLE BP 217, 38043 Grenoble Cedex 9, France
| | - R Zanetti
- Registro Tumori Piemonte, Centro Prevenzione Oncologica (CPO) Piemonte A.S.O. San Giovanni Battista Molinette, Torino, Italy
| | - D Serraino
- Friuli Venezia Giulia Cancer Registry, Central Health Direction, Udine, Italy
| | - M Michiara
- Parma Province Cancer Registry, University Hospital Parma, Parma, Italy
| | - C Cirilli
- Modena Cancer Registry, Department of Oncology, Hematology, and Respiratory Diseases, University of Modena and Reggio Emilia, Modena, Italy
| | | | - G Mazzoleni
- Alto Adige/Sudtirol Cancer Registry, Bolzano, Italy
| | - O Sechi
- Cancer Registry of Sassari, Sassari, Italy
| | | | - S Guzzinati
- Registro Tumori del Veneto, Istituto Oncologico Veneto IRCCS, Padua, Italy
| | - R Capocaccia
- Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute (CNESPS), Istituto Superiore Sanità (ISS), Rome, Italy
| | - L Dal Maso
- Epidemiology and Biostatistics Unit, Scientific Directorate, Centro di Riferimento Oncologico IRCCS, Via Franco Gallini 2, 33081 Aviano, Pordenone, Italy
| | - AIRTUM Working group17
- Tuscany Cancer Registry, UO di Epidemiologia Clinica e Descrittiva, Istituto per lo Studio e la Prevenzione Oncologica (ISPO), Via delle Oblate 2, 50141 Florence, Italy
- Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute (CNESPS), Istituto Superiore Sanità (ISS), Rome, Italy
- AIRTUM Database, Florence, Italy
- Surveillance Research Program, Division of Cancer Control and Population Sciences, NCI, Bethesda, MD, USA
- Danish Cancer Society, Kræftens Bekæmpelse, Strandboulevarden 49, 2100 København Ø, Denmark
- Isere Cancer Registry, Pavillon E, CHU GRENOBLE BP 217, 38043 Grenoble Cedex 9, France
- Registro Tumori Piemonte, Centro Prevenzione Oncologica (CPO) Piemonte A.S.O. San Giovanni Battista Molinette, Torino, Italy
- Friuli Venezia Giulia Cancer Registry, Central Health Direction, Udine, Italy
- Parma Province Cancer Registry, University Hospital Parma, Parma, Italy
- Modena Cancer Registry, Department of Oncology, Hematology, and Respiratory Diseases, University of Modena and Reggio Emilia, Modena, Italy
- Salerno Cancer Registry, Salerno, Italy
- Alto Adige/Sudtirol Cancer Registry, Bolzano, Italy
- Cancer Registry of Sassari, Sassari, Italy
- Sondrio Cancer Registry, Local Health Agency, Sondrio, Italy
- Registro Tumori del Veneto, Istituto Oncologico Veneto IRCCS, Padua, Italy
- Epidemiology and Biostatistics Unit, Scientific Directorate, Centro di Riferimento Oncologico IRCCS, Via Franco Gallini 2, 33081 Aviano, Pordenone, Italy
| |
Collapse
|
50
|
Francisci S, Guzzinati S, Mezzetti M, Crocetti E, Giusti F, Miccinesi G, Paci E, Angiolini C, Gigli A. Cost profiles of colorectal cancer patients in Italy based on individual patterns of care. BMC Cancer 2013; 13:329. [PMID: 23826976 PMCID: PMC3706387 DOI: 10.1186/1471-2407-13-329] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2012] [Accepted: 06/21/2013] [Indexed: 12/27/2022] Open
Abstract
Background Due to changes in cancer-related risk factors, improvements in diagnostic procedures and treatments, and the aging of the population, in most developed countries cancer accounts for an increasing proportion of health care expenditures. The analysis of cancer-related costs is a topic of several economic and epidemiological studies and represents a research area of great interest to public health planners and policy makers. In Italy studies are limited either to some specific types of expenditures or to specific groups of cancer patients. Aim of the paper is to estimate the distribution of cancer survivors and associated health care expenditures according to a disease pathway which identifies three clinically relevant phases: initial (one year following diagnosis), continuing (between initial and final) and final (one year before death). Methods The methodology proposed is based on the reconstruction of patterns of care at individual level by combining different data sources, surveillance data and administrative data, in areas covered by cancer registration. Results A total colorectal cancer-related expenditure of 77.8 million Euros for 18012 patients (corresponding to about 4300 Euros per capita) is estimated in 2006 in two Italian areas located in Tuscany and Veneto regions, respectively. Cost of care varies according to the care pathway: 11% of patients were in the initial phase, and consumed 34% of total expenditure; patients in the final (6%) and in the continuing (83%) phase consumed 23% and 43% of the budget, respectively. There is an association between patterns of care/costs and patients characteristics such as stage and age at diagnosis. Conclusions This paper represents the first attempt to attribute health care expenditures in Italy to specific phases of disease, according to varying treatment approaches, surveillance strategies and management of relapses, palliative care. The association between stage at diagnosis, profile of therapies and costs supports the idea that primary prevention and early detection play an important role in a public health perspective. Results from this pilot study encourage the use of such analyses in a public health perspective, to increase understanding of patient outcomes and economic consequences of differences in policies related to cancer screening, treatment, and programs of care.
Collapse
Affiliation(s)
- Silvia Francisci
- Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanità, Roma, Italy
| | | | | | | | | | | | | | | | | |
Collapse
|