Literature DB >> 33904144

Economic Burden of Treatment-Resistant Depression among Adults with Chronic Non-Cancer Pain Conditions and Major Depressive Disorder in the US.

Drishti Shah1, Lindsay Allen2, Wanhong Zheng3, Suresh S Madhavan4,5, Wenhui Wei4,6, Traci J LeMasters4, Usha Sambamoorthi4,5.   

Abstract

OBJECTIVE: Major depressive disorder (MDD) and chronic non-cancer pain conditions (CNPC) often co-occur and exacerbate one another. Treatment-resistant depression (TRD) in adults with CNPC can amplify the economic burden. This study examined the impact of TRD on direct total and MDD-related healthcare resource utilization (HRU) and costs among commercially insured patients with CNPC and MDD in the US.
METHODS: The retrospective longitudinal cohort study employed a claims-based algorithm to identify adults with TRD from a US claims database (January 2007 to June 2017). Costs (2018 US$) and HRU were compared between patients with and without TRD over a 12-month period after TRD/non-TRD index date. Counterfactual recycled predictions from generalized linear models were used to examine associations between TRD and annual HRU and costs. Post-regression linear decomposition identified differences in patient-level factors between TRD and non-TRD groups that contributed to the excess economic burden of TRD.
RESULTS: Of the 21,180 adults with CNPC and MDD, 10.1% were identified as having TRD. TRD patients had significantly higher HRU, translating into higher average total costs (US$21,015TRD vs US$14,712No TRD) and MDD-related costs (US$1201TRD vs US$471No TRD) compared with non-TRD patients (all p < 0.001). Prescription drug costs accounted for 37.6% and inpatient services for 30.7% of the excess total healthcare costs among TRD patients. TRD patients had a significantly higher number of inpatient (incidence rate ratio [IRR] 1.30, 95% CI 1.14-1.47) and emergency room visits (IRR 1.21, 95% CI 1.10-1.34) than non-TRD patients. Overall, 46% of the excess total costs were explained by differences in patient-level characteristics such as polypharmacy, number of CNPC, anxiety, sleep, and substance use disorders between the TRD and non-TRD groups.
CONCLUSION: TRD poses a substantial direct economic burden for adults with CNPC and MDD. Excess healthcare costs may potentially be reduced by providing timely interventions for several modifiable risk factors.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 33904144      PMCID: PMC8425301          DOI: 10.1007/s40273-021-01029-2

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.558


  54 in total

Review 1.  Definitions of antidepressant treatment response, remission, nonresponse, partial response, and other relevant outcomes: a focus on treatment-resistant depression.

Authors:  A A Nierenberg; L M DeCecco
Journal:  J Clin Psychiatry       Date:  2001       Impact factor: 4.384

2.  Factors Influencing Long-Term Opioid Use Among Opioid Naive Patients: An Examination of Initial Prescription Characteristics and Pain Etiologies.

Authors:  Anuj Shah; Corey J Hayes; Bradley C Martin
Journal:  J Pain       Date:  2017-07-13       Impact factor: 5.820

Review 3.  Multiple chronic conditions and healthcare costs among adults.

Authors:  Usha Sambamoorthi; Xi Tan; Arijita Deb
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2015       Impact factor: 2.217

Review 4.  Treatment-resistant depression and suicidality.

Authors:  Isidoor O Bergfeld; Mariska Mantione; Martijn Figee; P Richard Schuurman; Anja Lok; Damiaan Denys
Journal:  J Affect Disord       Date:  2018-04-03       Impact factor: 4.839

5.  Direct and indirect costs of employees with treatment-resistant and non-treatment-resistant major depressive disorder.

Authors:  Jasmina I Ivanova; Howard G Birnbaum; Yohanne Kidolezi; Ganesh Subramanian; Sajjad A Khan; Michael D Stensland
Journal:  Curr Med Res Opin       Date:  2010-10       Impact factor: 2.580

6.  Costs associated with changes in antidepressant treatment in a managed care population with major depressive disorder.

Authors:  Jennifer Schultz; Vijay Joish
Journal:  Psychiatr Serv       Date:  2009-12       Impact factor: 3.084

7.  The impact of treatment-resistant depression on health care utilization and costs.

Authors:  William H Crown; Stan Finkelstein; Ernst R Berndt; Davina Ling; Amy W Poret; A John Rush; James M Russell
Journal:  J Clin Psychiatry       Date:  2002-11       Impact factor: 4.384

8.  Socio-demographic and clinical predictors of treatment resistant depression: A prospective European multicenter study.

Authors:  Martina Balestri; Raffaella Calati; Daniel Souery; Alexander Kautzky; Siegfried Kasper; Stuart Montgomery; Joseph Zohar; Julien Mendlewicz; Alessandro Serretti
Journal:  J Affect Disord       Date:  2015-09-30       Impact factor: 4.839

9.  Direct and Indirect Cost Burden and Change of Employment Status in Treatment-Resistant Depression: A Matched-Cohort Study Using a US Commercial Claims Database.

Authors:  Tony B Amos; Neeta Tandon; Patrick Lefebvre; Dominic Pilon; Rhiannon L Kamstra; Irina Pivneva; Paul E Greenberg
Journal:  J Clin Psychiatry       Date:  2018 Mar/Apr       Impact factor: 4.384

10.  Characterization of treatment resistant depression episodes in a cohort of patients from a US commercial claims database.

Authors:  Nicole Kubitz; Maneesha Mehra; Ravi C Potluri; Nitesh Garg; Nicole Cossrow
Journal:  PLoS One       Date:  2013-10-18       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.