Depression phenotypes in spinal cord injury and impact on post-injury healthcare utilization and cost: Analysis using a large claim database

被引:0
|
作者
Wilkinson, Riley L. [1 ]
Isakov, Roman V. [1 ]
Anele, Uzoma A. [2 ]
Castillo, Camilo [3 ]
Herrity, April [3 ,4 ]
Sharma, Mayur [3 ]
Wang, Dengzhi [3 ,4 ]
Boakye, Maxwell [3 ,4 ]
Ugiliweneza, Beatrice [3 ,4 ,5 ,6 ,7 ,8 ]
机构
[1] Univ Louisville, Sch Med, Louisville, KY 40202 USA
[2] Univ Louisville, Dept Urol, Louisville, KY 40202 USA
[3] Univ Louisville, Dept Neurol Surg, Louisville, KY 40202 USA
[4] Univ Louisville, Kentucky Spinal Cord Injury Res Ctr, Lousville, KY 40202 USA
[5] Univ Louisville, Dept Hlth Management & Syst Sci, Louisville, KY 40202 USA
[6] Univ Louisville, Kentucky Spinal Cord Injury Res Ctr, Dept Neurosurg, Dept Neurol Surg, Louisville, KY 40202 USA
[7] Univ Louisville, Kentucky Spinal CordInjury Res Ctr, Lousville, KY 40202 USA
[8] Univ Louisville, Dept Hlth Management & Syst Sci, Louisville, KY 40202 USA
来源
JOURNAL OF SPINAL CORD MEDICINE | 2024年 / 47卷 / 06期
关键词
Depression; Depression phenotype; Spinal cord injury; Healthcare utilization; Healthcare cost; UNITED-STATES; PATTERNS; RECORDS; GENDER; TRENDS; RISK;
D O I
10.1080/10790268.2023.2223446
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Context/ObjectiveDepression is the most common psychological comorbidity associated with spinal cord injury (SCI) and affects healthcare utilization and costs. This study aimed to use an International Classification of Disease (ICD) and prescription drug-based depression phenotypes to classify people with SCI, and to evaluate the prevalence of those phenotypes, associated risk factors, and healthcare utilization.DesignRetrospective Observational StudySettingMarketscan Database (2000-2019)ParticipantsIndividuals with SCI were classified into six ICD-9/10, and prescription drugs defined phenotypes: Major Depressive Disorder (MDD), Other Depression (OthDep), Antidepressants for Other Psychiatric Conditions (PsychRx), Antidepressants for non-psychiatric condition (NoPsychRx), Other Non-depression Psychiatric conditions only (NonDepPsych), and No Depression (NoDep). Except for the latter, all the other groups were referred to as "depressed phenotypes". Data were screened for 24 months pre- and 24 months post-injury depression.InterventionsNoneOutcome MeasuresHealthcare utilization and paymentsResultsThere were 9,291 patients with SCI classified as follows: 16% MDD, 11% OthDep, 13% PsychRx, 13% NonPsychRx, 14% NonDepPsych, 33% NoDep. Compared with the NoDep group, the MDD group was younger (54 vs. 57 years old), predominantly female (55% vs. 42%), with Medicaid coverage (42% vs. 12%), had increased comorbidities (69% vs. 54%), had fewer traumatic injuries (51% vs. 54%) and had higher chronic 12-month pre-SCI opioid use (19% vs. 9%) (all P < 0.0001). Classification into a depressed phenotype before SCI was found to be significantly associated with depression phenotype post-SCI, as evidenced by those who experienced a negative change (37%) vs. a positive change (15%, P < 0.0001). Patients in the MDD cohort had higher healthcare utilization and associated payments at 12 and 24 months after SCI.ConclusionIncreasing awareness of psychiatric history and MDD risk factors may improve identifying and managing higher-risk patients with SCI, ultimately optimizing their post-injury healthcare utilization and cost. This method of classifying depression phenotypes provides a simple and practical way to obtain this information by screening through pre-injury medical records.
引用
收藏
页码:902 / 917
页数:16
相关论文
共 50 条
  • [31] A Two-decade Assessment of Changing Practice for Surgical Decompression and Fixation after Traumatic Spinal Cord Injury - Impact on Healthcare Utilization and Cost
    Ugiliweneza, Beatrice
    Guest, James
    Herrity, April
    Nuno, Miriam
    Sharma, Mayur
    Beswick, Jennifer
    Dietz, Nicholas
    Alhourani, Ahmad
    Wang, Dengzhi
    Drazin, Doniel
    Boakye, Maxwell
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2019, 11 (11)
  • [32] Multimorbidity in persons with non-traumatic spinal cord injury and its impact on healthcare utilization and health outcomes
    Hong, Heather A. A.
    Fallah, Nader
    Wang, Di
    Cheng, Christiana L. L.
    Humphreys, Suzanne
    Parsons, Jessica
    Noonan, Vanessa K.
    SPINAL CORD, 2023, 61 (09) : 483 - 491
  • [33] Multimorbidity in persons with non-traumatic spinal cord injury and its impact on healthcare utilization and health outcomes
    Heather A. Hong
    Nader Fallah
    Di Wang
    Christiana L. Cheng
    Suzanne Humphreys
    Jessica Parsons
    Vanessa K. Noonan
    Spinal Cord, 2023, 61 : 483 - 491
  • [34] Delayed post-injury administration of C5a improves regeneration and functional recovery after spinal cord injury in mice
    Guo, Q.
    Cheng, J.
    Zhang, J.
    Su, B.
    Bian, C.
    Lin, S.
    Zhong, C.
    CLINICAL AND EXPERIMENTAL IMMUNOLOGY, 2013, 174 (02): : 318 - 325
  • [35] Factors predicting depression among persons with spinal cord injury 1 to 5 years post injury
    Arango-Lasprilla, Juan Carlos
    Ketchum, Jessica M.
    Starkweather, Angela
    Nicholls, Elizabeth
    Wilk, Amber R.
    NEUROREHABILITATION, 2011, 29 (01) : 9 - 21
  • [36] The nature of depression and anxiety post brain injury: a comparison with spinal cord injury patients and healthy volunteers
    Dyer, Kevin F. W.
    Bell, Rob
    MacDonald, Jamie
    McCann, John P.
    Rauch, Robert J.
    BRAIN INJURY, 2012, 26 (4-5) : 425 - 426
  • [37] "Opioid dependence and associated healthcare utilization and cost in a privately insured spinal cord injury population" (TR05)
    Ugiliweneza, Beatrice
    Nuno, Miriam
    Herrity, April
    Wang, Dengzhi
    Sharma, Mayur
    Adams, Shawn
    Khattar, Nicholas
    Dietz, Nicholas
    Madrigal, Fabian C.
    Drazin, Doniel
    Boakye, Maxwell
    ADDICTION SCIENCE & CLINICAL PRACTICE, 2020, 15 (SUPPL 2):
  • [38] Impact of spinal cord injury bowel dysfunction on cost & quality of life
    White, Kevin T.
    Pepper, Michelle
    Berger, William
    Benes, Paula
    Hastings, James
    Berman, Joe
    Otterson, Mary Francis
    GASTROINTESTINAL ENDOSCOPY, 2007, 65 (05) : AB265 - AB265
  • [39] ENHANCING THE DEPRESSION DIAGNOSIS IN SPINAL-CORD INJURY USING BAYESIAN-ANALYSIS
    CLAY, DL
    HAGGLUND, KJ
    FRANK, RG
    ELLIOTT, TR
    REHABILITATION PSYCHOLOGY, 1992, 37 (03) : 216 - 217
  • [40] Quality of Social Support Predicts Hopelessness and Depression Post Spinal Cord Injury
    A. Beedie
    P. Kennedy
    Journal of Clinical Psychology in Medical Settings, 2002, 9 : 227 - 234