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Association of Depression with In-Patient and Post-Discharge Disposition and Expenditures Among Medicare Beneficiaries Undergoing Resection for Cancer

  • Global Health Services Research
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

Abstract

Background

The impact of depression on utilization of post-discharge care and overall episode of care expenditures remains poorly defined. We sought to define the impact of depression on postoperative outcomes, including discharge disposition, as well as overall expenditures associated with the global episode of surgical care.

Method

The Medicare 100% Standard Analytic Files were used to identify patients undergoing resection for esophageal, colon, rectal, pancreatic, and liver cancer between 2013 and 2017. The impact of depression on inpatient outcomes, as well as home health care and skilled nursing facilities utilization and expenditures, was analyzed.

Results

Among 113,263 patients, 14,618 (12.9%) individuals had depression. Patients with depression were more likely to experience postoperative complications (odds ratio [OR] 1.36, 95% confidence interval [CI] 1.31–1.42), extended length of stay (LOS) (OR 1.41, 95% CI 1.36–1.47), readmission within 90 days (OR 1.20, 95% CI 1.14–1.25), as well as 90-day mortality (OR 1.35, 95% CI 1.27–1.42) (all p < 0.05). In turn, the proportion of patients who achieved a textbook outcome following cancer surgery was lower among patients with depression (no depression: 53.3% vs. depression: 45.3%; OR 0.70, 95% CI 0.68–0.73). Patients with a preexisting diagnosis of depression had higher odds of additional post-discharge expenditures compared with individuals without a diagnosis of depression (OR 1.42; 95% CI 1.35–1.50); patients with a preexisting diagnosis of depression ($10,500, IQR $3,200–$22,500) had higher median post-discharge expenditures versus patients without depression ($6600, IQR $2100–$17,400) (p < 0.001). On multivariable analysis, after controlling for other factors, depression remained associated with a 19.0% (95% confidence interval [CI] 15.7–22.3%) increase in post-discharge expenditures.

Conclusions

Patients with depression undergoing resection for cancer had worse in-patient outcomes and were less likely to achieve a TO. Patients with depression were more likely to require post-discharge care and had higher post-discharge expenditures.

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References

  1. TK A. National Survey on Drug Use and Health. Center for Behavioral Health Statistics and Quality (CBHSQ), Substance Abuse and Mental Health Services Administration (SAMHSA), U.S. Department of Health and Human Services (HHS) 2017

  2. Mitchell AJ, Chan M, Bhatti H, et al. Prevalence of depression, anxiety, and adjustment disorder in oncological, haematological, and palliative-care settings: a meta-analysis of 94 interview-based studies. Lancet Oncol. 2011;12(2):160–74.

    Article  PubMed  Google Scholar 

  3. Rao H, Mahadevappa H, Pillay P, et al. A study of stigmatized attitudes towards people with mental health problems among health professionals. J Psychiatr Ment Health Nurs. 2009;16(3):279–84.

    Article  CAS  PubMed  Google Scholar 

  4. Greene-Shortridge TM, Britt TW, Castro CA. The stigma of mental health problems in the military. Mil Med. 2007;172(2):157–61.

    Article  PubMed  Google Scholar 

  5. Komiti A, Judd F, Jackson H. The influence of stigma and attitudes on seeking help from a GP for mental health problems: a rural context. Soc Psychiatry Psychiatr Epidemiol. 2006;41(9):738–45.

    Article  PubMed  Google Scholar 

  6. Colleoni M, Mandala M, Peruzzotti G, et al. Depression and degree of acceptance of adjuvant cytotoxic drugs. Lancet. 2000;356(9238):1326–7.

    Article  CAS  PubMed  Google Scholar 

  7. Prieto JM, Blanch J, Atala J, et al. Psychiatric morbidity and impact on hospital length of stay among hematologic cancer patients receiving stem-cell transplantation. J Clin Oncol. 2002;20(7):1907–17.

    Article  PubMed  Google Scholar 

  8. Bui QU, Ostir GV, Kuo YF, et al. Relationship of depression to patient satisfaction: findings from the barriers to breast cancer study. Breast Cancer Res Treat. 2005;89(1):23–8.

    Article  PubMed  Google Scholar 

  9. Pinquart M, Duberstein PR. Depression and cancer mortality: a meta-analysis. Psychol Med. 2010;40(11):1797–810.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Bailey EA, Wirtalla C, Sharoky CE, et al. Disparities in operative outcomes in patients with comorbid mental illness. Surgery. 2018;163(4):667–71.

    Article  PubMed  Google Scholar 

  11. Paredes AZ, Hyer JM, Diaz A, et al. The impact of mental illness on postoperative outcomes among Medicare beneficiaries: a missed opportunity to help surgical patients? Ann Surg. 2020;272:419.

    Article  PubMed  Google Scholar 

  12. Falsgraf E, Inaba K, de Roulet A, et al. Outcomes after traumatic injury in patients with preexisting psychiatric illness. J Trauma Acute Care Surg. 2017;83(5):882–7.

    Article  PubMed  Google Scholar 

  13. Yli-Kyyny TT, Sund R, Heinanen M, et al. Risk factors for early readmission due to surgical complications after treatment of proximal femoral fractures—a Finnish National Database study of 68,800 patients. Injury. 2019;50(2):403–8.

    Article  PubMed  Google Scholar 

  14. Tully PJ, Baker RA, Turnbull D, et al. The role of depression and anxiety symptoms in hospital readmissions after cardiac surgery. J Behav Med. 2008;31(4):281–90.

    Article  PubMed  Google Scholar 

  15. Molina G, Sell NM, Fernandez-Del Castillo C, et al. Diagnosis of depression is associated with readmission following elective pancreatectomy. Ann Surg Oncol. 2020;27(11):4544–50.

    Article  PubMed  Google Scholar 

  16. Kurdyak PA, Gnam WH, Goering P, et al. The relationship between depressive symptoms, health service consumption, and prognosis after acute myocardial infarction: a prospective cohort study. BMC Health Serv Res. 2008;8:200.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Hyer JM, Paredes AZ, Cerullo M, et al. Assessing post-discharge costs of hepatopancreatic surgery: an evaluation of Medicare expenditure. Surgery. 2020;167(6):978–84.

    Article  PubMed  Google Scholar 

  18. Haskins CB, McDowell BD, Carnahan RM, et al. Impact of preexisting mental illness on breast cancer endocrine therapy adherence. Breast Cancer Res Treat. 2019;174(1):197–208.

    Article  CAS  PubMed  Google Scholar 

  19. Centers for Medicare and Medicaid services Limited Data Set (LDS) Files 06/30/2020 11:06 AM. Available at https://www.cms.gov/Research-Statistics-Data-and-Systems/Files-for-Order/Data-Disclosures-Data-Agreements/DUA_-_NewLDS. Accessed 23 Feb 2021

  20. Iglay K, Santorelli ML, Hirshfield KM, et al. Impact of preexisting mental illness on all-cause and breast cancer-specific mortality in elderly patients with breast cancer. J Clin Oncol. 2017;35(36):4012–8.

    Article  PubMed  Google Scholar 

  21. Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.

    Article  CAS  PubMed  Google Scholar 

  22. Quan H, Li B, Couris CM, et al. Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol. 2011;173(6):676–82.

    Article  PubMed  Google Scholar 

  23. Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43(11):1130–9.

    Article  PubMed  Google Scholar 

  24. Heidsma CM, Hyer M, Tsilimigras DI, et al. Incidence and impact of textbook outcome among patients undergoing resection of pancreatic neuroendocrine tumors: tesults of the US Neuroendocrine Tumor Study Group. J Surg Oncol. 2020;121(8):1201–8.

    Article  PubMed  Google Scholar 

  25. Azap RA, Paredes AZ, Diaz A, et al. The association of neighborhood social vulnerability with surgical textbook outcomes among patients undergoing hepatopancreatic surgery. Surgery. 2020;168:868.

    Article  PubMed  Google Scholar 

  26. Mehta R, Tsilimigras DI, Paredes AZ, et al. Dedicated cancer centers are more likely to achieve a textbook outcome following hepatopancreatic surgery. Ann Surg Oncol. 2020;27(6):1889–97.

    Article  PubMed  Google Scholar 

  27. Iezzoni LI, Daley J, Heeren T, et al. Identifying complications of care using administrative data. Med Care. 1994;32(7):700–15.

    Article  CAS  PubMed  Google Scholar 

  28. Hyer JM, Ejaz A, Diaz A, et al. Characterizing and assessing the impact of surgery on healthcare spending among medicare enrolled preoperative super-utilizers. Ann Surg. 2019;270(3):554–63.

    PubMed  Google Scholar 

  29. Donald Hedeker RG. Longitudinal Data Analysis. Hoboken: Wiley; 2006.

    Book  Google Scholar 

  30. Jutkowitz E, Kane RL, Dowd B, et al. Effects of cognition, function, and behavioral and psychological symptoms on medicare expenditures and health care utilization for persons with dementia. J Gerontol A Biol Sci Med Sci. 2017;72(6):818–24.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Guidi J, Fava GA. Sequential combination of pharmacotherapy and psychotherapy in major depressive disorder: a systematic review and meta-analysis. JAMA Psychiatry. 2020;78:261.

    Article  Google Scholar 

  32. Spiegel D, Giese-Davis J. Depression and cancer: mechanisms and disease progression. Biol Psychiatry. 2003;54(3):269–82.

    Article  PubMed  Google Scholar 

  33. Paredes AZ, Hyer JM, Tsilimigras DI, et al. Association of pre-existing mental illness with all-cause and cancer-specific mortality among Medicare beneficiaries with pancreatic cancer. HPB (Oxford). 2020;22:S148.

    Article  Google Scholar 

  34. Daumit GL, Pronovost PJ, Anthony CB, et al. Adverse events during medical and surgical hospitalizations for persons with schizophrenia. Arch Gen Psychiatry. 2006;63(3):267–72.

    Article  PubMed  Google Scholar 

  35. Li Y, Cai X, Du H, et al. Mentally ill Medicare patients less likely than others to receive certain types of surgery. Health Aff (Millwood). 2011;30(7):1307–15.

    Article  Google Scholar 

  36. Hyer JM, Ejaz A, Tsilimigras DI, et al. Novel machine learning approach to identify preoperative risk factors associated with super-utilization of medicare expenditure following surgery. JAMA Surg. 2019;154(11):1014–21.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Tsilimigras DI, Mehta R, Merath K, et al. Hospital variation in textbook outcomes following curative-intent resection of hepatocellular carcinoma: an international multi-institutional analysis. HPB (Oxford). 2020;22(9):1305–13.

    Article  Google Scholar 

  38. Merath K, Chen Q, Bagante F, et al. Textbook outcomes among medicare patients undergoing hepatopancreatic surgery. Ann Surg. 2020;271(6):1116–23.

    Article  PubMed  Google Scholar 

  39. Sinikallio S, Aalto T, Airaksinen O, et al. Depressive burden in the preoperative and early recovery phase predicts poorer surgery outcome among lumbar spinal stenosis patients: a one-year prospective follow-up study. Spine (Phila Pa 1976). 2009;34(23):2573–8.

    Article  Google Scholar 

  40. Ghoneim MM, O’Hara MW. Depression and postoperative complications: an overview. BMC Surg. 2016;16:5.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Paredes AZ, Hyer JM, Tsilimigras DI, et al. Skilled nursing facility (SNF) utilization and impact of SNF star-quality ratings on outcomes following hepatectomy among Medicare beneficiaries. HPB (Oxford). 2020;22(1):109–15.

    Article  Google Scholar 

  42. Chen Q, Merath K, Olsen G, et al. Impact of post-discharge disposition on risk and causes of readmission following liver and pancreas surgery. J Gastrointest Surg. 2018;22(7):1221–9.

    Article  PubMed  Google Scholar 

  43. Paredes AZ, Hyer JM, Beal EW, et al. Impact of skilled nursing facility quality on postoperative outcomes after pancreatic surgery. Surgery. 2019;166(1):1–7.

    Article  PubMed  Google Scholar 

  44. Zhu Y, Stearns SC. Post-acute care locations: hospital discharge destination reports vs medicare claims. J Am Geriatr Soc. 2020;68(4):847–51.

    Article  PubMed  Google Scholar 

  45. Merath K, Chen Q, Johnson M, et al. Hot spotting surgical patients undergoing hepatopancreatic procedures. HPB (Oxford). 2019;21(6):765–72.

    Article  Google Scholar 

  46. Nathan H, Atoria CL, Bach PB, et al. Hospital volume, complications, and cost of cancer surgery in the elderly. J Clin Oncol. 2015;33(1):107–14.

    Article  PubMed  Google Scholar 

  47. Sheetz KH, Dimick JB, Ghaferi AA. The association between hospital care intensity and surgical outcomes in medicare patients. JAMA Surg. 2014;149(12):1254–9.

    Article  PubMed  Google Scholar 

  48. Sheetz KH, Ibrahim AM, Regenbogen SE, et al. Surgeon experience and medicare expenditures for laparoscopic compared to open colectomy. Ann Surg. 2018;268(6):1036–42.

    Article  PubMed  Google Scholar 

  49. Sheetz KH, Norton EC, Regenbogen SE, et al. An instrumental variable analysis comparing medicare expenditures for laparoscopic vs open colectomy. JAMA Surg. 2017;152(10):921–9.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Birkmeyer JD, Gust C, Baser O, et al. Medicare payments for common inpatient procedures: implications for episode-based payment bundling. Health Serv Res. 2010;45(6 Pt 1):1783–95.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Regenbogen SE, Gust C, Birkmeyer JD. Hospital surgical volume and cost of inpatient surgery in the elderly. J Am Coll Surg. 2012;215(6):758–65.

    Article  PubMed  Google Scholar 

  52. Donohue JM, Normand SL, Horvitz-Lennon M, et al. Regional variation in physician adoption of antipsychotics: impact on US Medicare Expenditures. J Ment Health Policy Econ. 2016;19(2):69–78.

    PubMed  PubMed Central  Google Scholar 

  53. Burns ME, Huskamp HA, Smith JC, et al. The effects of the transition from medicaid to medicare on health care use for adults with mental illness. Med Care. 2016;54(9):868–77.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Jiang HJ, Weiss AJ, Barrett ML, et al. Characteristics of Hospital Stays for Super-Utilizers by Payer, 2012: Statistical Brief #190. Healthcare Cost and Utilization Project (HCUP) Statistical Briefs. Rockville, MD; 2006

  55. Johnson TL, Rinehart DJ, Durfee J, et al. For many patients who use large amounts of health care services, the need is intense yet temporary. Health Aff (Millwood). 2015;34(8):1312–9.

    Article  Google Scholar 

  56. Diaz A, Nuliyalu U, Dimick JB, et al. Variation in surgical spending among the highest quality hospitals for cancer surgery. Ann Surg. 2020. https://doi.org/10.1097/sla.0000000000004641.

    Article  PubMed  Google Scholar 

  57. Nathan H, Pawlik TM. Limitations of claims and registry data in surgical oncology research. Ann Surg Oncol. 2008;15(2):415–23.

    Article  PubMed  Google Scholar 

  58. Lorant V, Deliege D, Eaton W, et al. Socioeconomic inequalities in depression: a meta-analysis. Am J Epidemiol. 2003;157(2):98–112.

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Timothy Pawlik MD, MPH, MTS, PhD, FACS, FRACS (Hon.).

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Paro, A., Hyer, J.M. & Pawlik, T. Association of Depression with In-Patient and Post-Discharge Disposition and Expenditures Among Medicare Beneficiaries Undergoing Resection for Cancer. Ann Surg Oncol 28, 6525–6534 (2021). https://doi.org/10.1245/s10434-021-09838-7

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  • DOI: https://doi.org/10.1245/s10434-021-09838-7

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