Literature DB >> 9167499

Getting the cost right in cost-effectiveness analyses.

N Wolff1, T W Helminiak, J K Tebes.   

Abstract

OBJECTIVE: The authors examined different ways of measuring unit costs and how methodological assumptions can affect the magnitude of cost estimates and the ratio of treatment costs in comparative studies of mental health interventions. Four methodological choices may bias cost estimates: study perspective, definition of the opportunity cost of resources, cost allocation rules, and measurement of service units.
METHOD: Unit costs for outpatient services, individual therapy, and group therapy were calculated under different assumptions for a single community mental health center (CMHC). Using hypothetical service utilization profiles, the authors used the unit costs to calculate the costs of mental health treatments provided by two programs of the CMHC.
RESULTS: The unit costs for an hour of outpatient services ranged from $108 to $538. The unit costs for an hour of therapy varied by 156%; unit costs were lowest if the management perspective was assumed and highest if the economist perspective was assumed. The ratio of the outpatient costs in the two treatment programs ranged from 0.6 to 1.8.
CONCLUSIONS: The potential errors introduced by methodological choices can bias cost-effectiveness findings based on randomized control trials. These errors go undetected because crucial methodological information is not reported.

Entities:  

Mesh:

Year:  1997        PMID: 9167499     DOI: 10.1176/ajp.154.6.736

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  9 in total

1.  Direct and indirect time inputs and assertive community treatment.

Authors:  Carolyn S Dewa; Salinda Horgan; Dianne McIntyre; Gail Robinson; Terry Krupa; Shirley Eastabrook
Journal:  Community Ment Health J       Date:  2003-02

2.  Treating homeless clients with severe mental illness and substance use disorders: costs and outcomes.

Authors:  Gary A Morse; Robert J Calsyn; W Dean Klinkenberg; Thomas W Helminiak; Nancy Wolff; Robert E Drake; Robert D Yonker; Gyanesh Lama; Matthew R Lemming; Suzanne McCudden
Journal:  Community Ment Health J       Date:  2006-08-04

3.  Budget impact and sustainability of medical care management for persons with serious mental illnesses.

Authors:  Benjamin G Druss; Silke A von Esenwein; Michael T Compton; Liping Zhao; Douglas L Leslie
Journal:  Am J Psychiatry       Date:  2011-06-15       Impact factor: 18.112

4.  Cost-effectiveness of enhancing primary care depression management on an ongoing basis.

Authors:  Kathryn Rost; Jeffrey M Pyne; L Miriam Dickinson; Anthony T LoSasso
Journal:  Ann Fam Med       Date:  2005 Jan-Feb       Impact factor: 5.166

5.  The effect of cost construction based on either DRG or ICD-9 codes or risk group stratification on the resulting cost-effectiveness ratios.

Authors:  Elinor C G Chumney; Andrea K Biddle; Kit N Simpson; Morris Weinberger; Kathryn M Magruder; William N Zelman
Journal:  Pharmacoeconomics       Date:  2004       Impact factor: 4.981

6.  General hospital psychiatry : cost of one visit.

Authors:  G P Sarma
Journal:  Indian J Psychiatry       Date:  2000-07       Impact factor: 1.759

7.  The Indiana Cancer Pain and Depression (INCPAD) trial Design of a telecare management intervention for cancer-related symptoms and baseline characteristics of study participants.

Authors:  Kurt Kroenke; Dale Theobald; Kelli Norton; Rebecca Sanders; Susan Schlundt; Stephanie McCalley; Pamela Harvey; Karen Iseminger; Gwendolyn Morrison; Janet S Carpenter; Dawana Stubbs; Rakeva Jacks; Caroline Carney-Doebbeling; Jingwei Wu; Wanzhu Tu
Journal:  Gen Hosp Psychiatry       Date:  2009-04-05       Impact factor: 3.238

8.  Cost-effectiveness of automated telephone self-management support with nurse care management among patients with diabetes.

Authors:  Margaret A Handley; Martha Shumway; Dean Schillinger
Journal:  Ann Fam Med       Date:  2008 Nov-Dec       Impact factor: 5.166

9.  Cost-effectiveness of a primary care depression intervention.

Authors:  Jeffrey M Pyne; Kathryn M Rost; Mingliang Zhang; D Keith Williams; Jeffrey Smith; John Fortney
Journal:  J Gen Intern Med       Date:  2003-06       Impact factor: 5.128

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.