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Mental health services utilization and expenditures associated with cancer survivorship in the United States

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Abstract

Purpose

The aim of this study is to assess mental health services utilization and expenditures associated with cancer history using a nationally representative sample in the US.

Methods

We used data from the 2008–2011 Medical Expenditure Panel Survey and multivariate regression models to assess mental health services use and expenditures among cancer survivors compared to individuals without a cancer history, stratified by age (18–64 and ≥65 years) and time since diagnosis (≤1 vs. >1 year).

Results

Among adults aged 18–64, compared with individuals without a cancer history, cancer survivors were more likely to screen positive for current psychological distress and depression regardless of time since diagnosis; survivors diagnosed >1 year ago were more likely to use mental health prescription drugs; those diagnosed within 1 year reported significantly lower annual per capita mental health drug expenditure and out-of-pocket mental health expenditure, while those diagnosed >1 year presented significantly higher annual per capita mental health expenditure. No significant differences in mental health expenditures were found among adults aged 65 or older.

Conclusions

Mental health problems presented higher health and economic burden among younger and longer-term survivors than individuals without a cancer history. This study provides data for monitoring the impact of initiatives to enhance coverage and access for mental health services at the national level.

Implications for cancer survivors

Early detection and appropriate treatment of mental health problems may help improve quality of cancer survivorship.

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References

  1. Adler N, Page A, eds. Cancer Care for the Whole Patient: meeting Psychosocial Healthcare Needs. Washington DC: Institute of Medicine (IOM). 2008.

  2. Hewitt M, Greenfield S, Stovell E, editors. From cancer patient to cancer survivor: lost in transition. Washington DC: National Academies Press; 2006.

    Google Scholar 

  3. Holland J, Weiss T. The new standard of quality cancer care: integrating the psychosocial aspects in routine cancer from diagnosis through survivorship. Cancer J. 2008;14:425–8.

    Article  PubMed  Google Scholar 

  4. Findley PA, Sambamoorthi U. Preventive health services and lifestyle practices in cancer survivors: a population health investigation. J Cancer Surviv. 2009;3:43–58.

    Article  PubMed  Google Scholar 

  5. Butler L, Downe-Wamboldt B, Melanson P, et al. Prevalence, correlates, and costs of patients with poor adjustment to mixed cancers. Cancer Nurs. 2006;29:9–16.

    Article  PubMed  Google Scholar 

  6. Lutgendorf SK, Sood AK, Antoni MH. Host factors and cancer progression: biobehavioral signaling pathways and interventions. J Clin Oncol. 2010. doi:10.1200/JCO.2009.26.9357.

  7. Satin JR, Linden W, Phillips MJ. Depression as a predictor of disease progression and mortality in cancer patients: a meta-analysis. Cancer. 2009;115:5349–61.

    Article  PubMed  Google Scholar 

  8. Mols F, Husson O, Roukema JA, van de Poll-Franse LV. Depressive symptoms are a risk factor for all-cause mortality: results from a prospective population-based study among 3,080 cancer survivors from the PROFILES registry. J Cancer Surviv. 2013;7(3):484–92.

    Article  PubMed  Google Scholar 

  9. Massie MJ. Prevalence of depression in patients with cancer. J Natl Cancer Inst Monogr. 2004;32:57–71.

    Article  PubMed  Google Scholar 

  10. 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;12:160–74.

    Article  PubMed  Google Scholar 

  11. Earle CC, Neville BA, Fletcher R. Mental health service utilization among long-term cancer survivors. J Cancer Surviv. 2007;1:156–60.

    Article  PubMed  Google Scholar 

  12. Kaiser NC, Hartoonian N, Owen JE. Toward a cancer-specific model of psychological distress: population data from the 2003–2005 National Health Interview Surveys. J Cancer Surviv-Res Pract. 2010;4:291–302.

    Article  Google Scholar 

  13. Siegel R, DeSantis C, Virgo K, et al. Cancer treatment and survivorship statistics, 2012. CA Cancer J Clin. 2012;62:220–41.

    Article  PubMed  Google Scholar 

  14. Parry C, Kent EE, Mariotto AB, et al. Cancer survivors: a booming population. Cancer Epidemiol Biomarkers Prev. 2011;20:1996–2005.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Pincus HA, Tanielian TL, Marcus SC, et al. Prescribing trends in psychotropic medications: primary care, psychiatry, and other medical specialties. JAMA. 1998;279:526–31.

    Article  CAS  PubMed  Google Scholar 

  16. Zuvekas SH. Trends in mental health services use and spending, 1987–1996. Health Aff (Millwood). 2001;20:214–24.

    Article  CAS  Google Scholar 

  17. Carlson LE, Bultz BD. Benefits of psychosocial oncology care: improved quality of life and medical cost offset. Health Qual Life Outcomes. 2003;1:8.

    Article  PubMed Central  PubMed  Google Scholar 

  18. Carlson LE, Bultz BD. Efficacy and medical cost offset of psychosocial interventions in cancer care: making the case for economic analyses. Psychooncology. 2004;13:837–49. discussion 850–836.

    Article  PubMed  Google Scholar 

  19. Gordon LG, Beesley VL, Scuffham PA. Evidence on the economic value of psychosocial interventions to alleviate anxiety and depression among cancer survivors: a systematic review. Asia Pac J Clin Oncol. 2011;7:96–105.

    Article  PubMed  Google Scholar 

  20. Hewitt M, Rowland JH. Mental health service use among adult cancer survivors: analyses of the National Health Interview Survey. J Clin Oncol. 2002;20:4581–90.

    Article  PubMed  Google Scholar 

  21. Punekar RS, Short PF, Moran JR. Use of psychotropic medications by US cancer survivors. Psychooncology. 2011; 10:1002/pon.2039.

  22. Zuvekas SH. Prescription drugs and the changing patterns of treatment for mental disorders, 1996–2001. Health Aff (Millwood). 2005;24:195–205.

    Article  Google Scholar 

  23. Erikson C, Schulman S, Kosty M, et al. Oncology workforce: results of the ASCO 2007 Program Directors Survey. J Oncol Pract. 2009;5:62–5.

    Article  PubMed Central  PubMed  Google Scholar 

  24. Mariotto AB, Yabroff KR, Shao Y, et al. Projections of the cost of cancer care in the United States: 2010–2020. J Natl Cancer Inst. 2011;103:117–28.

    Article  PubMed Central  PubMed  Google Scholar 

  25. Short PF, Moran JR, Punekar R. Medical expenditures of adult cancer survivors aged <65 years in the United States. Cancer. 2011;117:2791–800.

    Article  PubMed Central  PubMed  Google Scholar 

  26. Helf M, Mahon SM, Eden KD, et al. Screening for skin cancer. Am J Pub Health. 2001;20(Supp1):47–58.

    Google Scholar 

  27. Yabroff KR, Lawrence WF, Clauser S, et al. Burden of illness in cancer survivors: findings from a population-based national sample. J Natl Cancer Inst. 2004;96:1322–30.

    Article  PubMed  Google Scholar 

  28. Bradley CJ, Bednarek HL. Employment patterns of long-term cancer survivors. Psychooncology. 2002;11:188–98.

    Article  PubMed  Google Scholar 

  29. Hewitt M, Rowland JH, Yancik R. Cancer survivors in the United States: age, health, and disability. J Gerontol A Biol Sci Med Sci. 2003;58:82–91.

    Article  PubMed  Google Scholar 

  30. Brown ML, Riley GF, Schussler N, Etzioni R. Estimating health care costs related to cancer treatment from SEER-Medicare data. Med Care. 2002;40(8 Suppl):IV-104–17.

  31. Bradley CJ, Neumark D, Luo Z, Schenk M. Employment and cancer: findings from a longitudinal study of breast and prostate cancer survivors. Cancer Invest. 2007;25:47–54.

    Article  PubMed  Google Scholar 

  32. Kroenke K, Spitzer RL, Williams JB. The Patient Health Questionnaire-2: validity of a two-item depression screener. Med Care. 2003;41:1284–92.

    Article  PubMed  Google Scholar 

  33. Kessler RC, Andrews G, Colpe LJ, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32:959–76.

    Article  CAS  PubMed  Google Scholar 

  34. Manning, WG., Morris, CN, Newhouse, JP. A two-part model of the demand for medical care: preliminary results from the Health Insurance Study. In: van der Gaag, J., Perlman, M. (Eds.), Health, Economics, and Health Economics. North Holland, Amsterdam; 1981. p. 103–123.

  35. Manning WG, Basu A, Mullahy J. Generalized modeling approaches to risk adjustment of skewed outcomes data. J Health Econ. 2005;24:465–88.

    Article  PubMed  Google Scholar 

  36. Graubard BI, Korn EL. Predective margins with survey data. Biometrics. 1999;55:652–9.

    Article  CAS  PubMed  Google Scholar 

  37. Hoffman KE, McCarthy EP, Recklitis CJ, et al. Psychological distress in long-term survivors of adult-onset cancer: results from a national survey. Arch Intern Med. 2009;169:1274–81.

    Article  PubMed  Google Scholar 

  38. National Comprehensive Cancer Network. NCCN practice guidelines in oncology: Distress management. v.1.2010. http://www.oralcancerfoundation.org/treatment/pdf/distress-2008.pdf. Accessed 04/28/14

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Acknowledgments

No funding was obtained for this study. We appreciate the thoughtful comments from five anonymous reviewers. This manuscript has been presented as a poster at the Academy Health Annual Research Meeting in Orlando, FL 2012.

Disclaimer

The findings and conclusions in this paper are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Conflict of interest

No potential conflicts exist. Chenghui Li is a paid consult for eMax Heath Systems on unrelated studies.

Author information

Authors and Affiliations

  1. Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, 4770 Buford Highway NE, MS F-76, Atlanta, GA, 30341-3724, USA

    Chunyu Li

  2. Division of Pharmaceutical Evaluation and Policy, University of Arkansas for Medical Sciences College of Pharmacy, Little Rock, AR, 72205, USA

    Chenghui Li

  3. Research Integration and Evaluation Program, Patient-Centered Outcomes Research Institute (PCORI), Washington, DC, USA

    Laura Forsythe

  4. Health Services Research Program, Intramural Research Department, American Cancer Society National Home Office, Atlanta, GA, USA

    Catherine Lerro

  5. Center for Financing, Access, and Cost Trends, Agency for Healthcare Research and Quality, Rockville, MD, USA

    Anita Soni

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  1. Chunyu Li
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  2. Chenghui Li
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  3. Laura Forsythe
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  4. Catherine Lerro
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Correspondence to Chunyu Li.

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Li, C., Li, C., Forsythe, L. et al. Mental health services utilization and expenditures associated with cancer survivorship in the United States. J Cancer Surviv 9, 50–58 (2015). https://doi.org/10.1007/s11764-014-0392-0

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  • DOI: https://doi.org/10.1007/s11764-014-0392-0

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