Cost of stress urinary incontinence: A claims data analysis

The primary objectives of this research were to: (i) identify and present methodologies for estimating three types of 'cost-of-illness' measures using healthcare and disability claims data -- specifically 'cost of treatment', 'incremental cost of patient', and 'inc...

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Veröffentlicht in:PharmacoEconomics 2004-01, Vol.22 (2), p.95-105
Hauptverfasser: BIRNBAUM, Howard G, LEONG, Stephanie A, OSTER, Emily F, KINCHEN, Kraig, SUN, Peter
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container_end_page 105
container_issue 2
container_start_page 95
container_title PharmacoEconomics
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creator BIRNBAUM, Howard G
LEONG, Stephanie A
OSTER, Emily F
KINCHEN, Kraig
SUN, Peter
description The primary objectives of this research were to: (i) identify and present methodologies for estimating three types of 'cost-of-illness' measures using healthcare and disability claims data -- specifically 'cost of treatment', 'incremental cost of patient', and 'incremental cost of illness'; and (ii) perform a case-study analysis of these cost measures for women treated for stress urinary incontinence (SUI). In this paper, we discuss aspects of cost-of-illness methodologies in the context of SUI. We first distinguish between 'cost of treatment' (i.e. the costs of treating a specific condition), 'incremental cost of patient' (i.e. the additional costs associated with patients with a particular condition, irrespective of any comorbid conditions they may also have), and 'incremental cost of illness' (i.e. the additional costs resulting from a particular illness, as distinct from the costs of other conditions that the patient might have, including conditions which might have caused the illness in question). The latter case is in many ways the most complex to model, requiring controls for related causal conditions. We then applied these three methodologies by analysing the costs associated with SUI. Using data from a large employer claims database (n > 100 000), we estimated a series of regression models that reflected cost of treatment, incremental cost of patient, and incremental cost of illness for SUI. The three approaches yielded substantially different results. For many purposes the incremental cost-of-illness model provides the most appropriate results, as it controls for comorbid conditions, as well as patient demographics. On a per capita basis using the incremental cost-of-illness model, patients with SUI had direct costs that were 134% more than those for their controls and indirect costs that were 163% more than those for controls. Estimating costs for the average (i.e. mean) person results in dollar-termed estimates of the costs of SUI. In particular, we found that in 1998, the average direct medical cost of SUI was $US5642 and the indirect workplace cost of SUI was $US4208. Since the various methods yield substantially different results, it is important that the end user of cost-of-illness analyses of claims data have a clear purpose in mind when reporting the cost of the condition of concern. The incremental cost-of-illness measure for claims data has substantial advantages in terms of enhancing our understanding of the specific cost impact of SUI
doi_str_mv 10.2165/00019053-200422020-00003
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Using data from a large employer claims database (n &gt; 100 000), we estimated a series of regression models that reflected cost of treatment, incremental cost of patient, and incremental cost of illness for SUI. The three approaches yielded substantially different results. For many purposes the incremental cost-of-illness model provides the most appropriate results, as it controls for comorbid conditions, as well as patient demographics. On a per capita basis using the incremental cost-of-illness model, patients with SUI had direct costs that were 134% more than those for their controls and indirect costs that were 163% more than those for controls. Estimating costs for the average (i.e. mean) person results in dollar-termed estimates of the costs of SUI. In particular, we found that in 1998, the average direct medical cost of SUI was $US5642 and the indirect workplace cost of SUI was $US4208. 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In this paper, we discuss aspects of cost-of-illness methodologies in the context of SUI. We first distinguish between 'cost of treatment' (i.e. the costs of treating a specific condition), 'incremental cost of patient' (i.e. the additional costs associated with patients with a particular condition, irrespective of any comorbid conditions they may also have), and 'incremental cost of illness' (i.e. the additional costs resulting from a particular illness, as distinct from the costs of other conditions that the patient might have, including conditions which might have caused the illness in question). The latter case is in many ways the most complex to model, requiring controls for related causal conditions. We then applied these three methodologies by analysing the costs associated with SUI. Using data from a large employer claims database (n &gt; 100 000), we estimated a series of regression models that reflected cost of treatment, incremental cost of patient, and incremental cost of illness for SUI. The three approaches yielded substantially different results. For many purposes the incremental cost-of-illness model provides the most appropriate results, as it controls for comorbid conditions, as well as patient demographics. On a per capita basis using the incremental cost-of-illness model, patients with SUI had direct costs that were 134% more than those for their controls and indirect costs that were 163% more than those for controls. Estimating costs for the average (i.e. mean) person results in dollar-termed estimates of the costs of SUI. In particular, we found that in 1998, the average direct medical cost of SUI was $US5642 and the indirect workplace cost of SUI was $US4208. Since the various methods yield substantially different results, it is important that the end user of cost-of-illness analyses of claims data have a clear purpose in mind when reporting the cost of the condition of concern. The incremental cost-of-illness measure for claims data has substantial advantages in terms of enhancing our understanding of the specific cost impact of SUI.</description><subject>Biological and medical sciences</subject><subject>Cost-of-illness</subject><subject>Databases, Factual</subject><subject>Female</subject><subject>Health Care Costs</subject><subject>Health technology assessment</subject><subject>Humans</subject><subject>Insurance Claim Review - economics</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Modelling</subject><subject>Models, Economic</subject><subject>Nephrology. Urinary tract diseases</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Stress-incontinence</subject><subject>United States - epidemiology</subject><subject>Urinary Incontinence, Stress - economics</subject><subject>Urinary Incontinence, Stress - epidemiology</subject><subject>Urinary system involvement in other diseases. Miscellaneous</subject><subject>Urinary tract. 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In this paper, we discuss aspects of cost-of-illness methodologies in the context of SUI. We first distinguish between 'cost of treatment' (i.e. the costs of treating a specific condition), 'incremental cost of patient' (i.e. the additional costs associated with patients with a particular condition, irrespective of any comorbid conditions they may also have), and 'incremental cost of illness' (i.e. the additional costs resulting from a particular illness, as distinct from the costs of other conditions that the patient might have, including conditions which might have caused the illness in question). The latter case is in many ways the most complex to model, requiring controls for related causal conditions. We then applied these three methodologies by analysing the costs associated with SUI. Using data from a large employer claims database (n &gt; 100 000), we estimated a series of regression models that reflected cost of treatment, incremental cost of patient, and incremental cost of illness for SUI. The three approaches yielded substantially different results. For many purposes the incremental cost-of-illness model provides the most appropriate results, as it controls for comorbid conditions, as well as patient demographics. On a per capita basis using the incremental cost-of-illness model, patients with SUI had direct costs that were 134% more than those for their controls and indirect costs that were 163% more than those for controls. Estimating costs for the average (i.e. mean) person results in dollar-termed estimates of the costs of SUI. In particular, we found that in 1998, the average direct medical cost of SUI was $US5642 and the indirect workplace cost of SUI was $US4208. Since the various methods yield substantially different results, it is important that the end user of cost-of-illness analyses of claims data have a clear purpose in mind when reporting the cost of the condition of concern. The incremental cost-of-illness measure for claims data has substantial advantages in terms of enhancing our understanding of the specific cost impact of SUI.</abstract><cop>Auckland</cop><pub>Adis International</pub><pmid>14731051</pmid><doi>10.2165/00019053-200422020-00003</doi><tpages>11</tpages></addata></record>
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source MEDLINE; RePEc; SpringerLink Journals - AutoHoldings
subjects Biological and medical sciences
Cost-of-illness
Databases, Factual
Female
Health Care Costs
Health technology assessment
Humans
Insurance Claim Review - economics
Medical sciences
Middle Aged
Miscellaneous
Modelling
Models, Economic
Nephrology. Urinary tract diseases
Public health. Hygiene
Public health. Hygiene-occupational medicine
Stress-incontinence
United States - epidemiology
Urinary Incontinence, Stress - economics
Urinary Incontinence, Stress - epidemiology
Urinary system involvement in other diseases. Miscellaneous
Urinary tract. Prostate gland
Women's Health
title Cost of stress urinary incontinence: A claims data analysis
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