Abstract
Purpose
To describe healthcare utilization and reasons for delaying medical care and to identify factors that influence high healthcare utilization and care delay among cancer survivors.
Methods
Baseline (n = 991) and 6 month follow-up data (n = 777) were collected among breast, prostate, and colorectal cancer survivors from 32 US cancer centers. Participants completed surveys on healthcare utilization (e.g., number of visits to specific providers) and delay of medical care. We categorized participants as high or low users based on median number of visits. We used logistic regression models to examine factors that predicted high healthcare utilization or delay.
Results
Survivors reported a median of 10.5 visits to healthcare providers and 28% reported ever delaying medical care over 6 months. Compared to prostate cancer survivors, breast and colorectal survivors were 2.4 times more likely (CI = 1.2–4.8) and 4 times more likely (CI = 2.2–7.3) to be high healthcare users, respectively. A higher quality of life score predicted high healthcare utilization (OR = 2.4, CI = 2.0–2.8) and delay of medical care (OR = 1.8, CI = 1.5–2.2). Black survivors were 1.5 times more likely than White survivors to be high healthcare users (CI = 1.1–2.0) and respondents reporting a race category other than White or Black were 1.8 times more likely to delay care (CI = 1.3–2.5). Lower levels of self-efficacy predicted greater healthcare use (OR = 0.7, CI = 0.6–0.8) and delay (OR = 0.6, CI = 0.5–0.7).
Conclusion
Our findings suggest that race, education, marital status, cancer type, time since diagnosis, quality of life, and self-efficacy are associated with both high healthcare utilization and delay among cancer survivors.
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Data availability
Enquiries about data availability should be directed to the authors.
References
Cancer Treatment and Survivorship Facts and Figures. 2019–2021. American Cancer Society; 2019
Hewitt M, Greenfield S, Stovall E (2006) From cancer patient to cancer survivor: lost in transition. National Academies Press, Washington DC
Jacobs LA, Shulman LN (2017) Follow-up care of cancer survivors: challenges and solutions. Lancet Oncol 18(1):e19–e29
Jacobsen PB, Rowland JH, Paskett ED et al (2016) Identification of key gaps in cancer survivorship research: findings from the American society of clinical oncology survey. J Oncol Pract 12(3):190–193
Rajotte EJ, Heron L, Syrjala KL, Baker KS (2016) Health care utilization among long-term cancer survivors. J Clin 34(3):22–22
Hoopes M, Schmidt T, Huguet N et al (2019) Identifying and characterizing cancer survivors in the US primary care safety net. Cancer 125(19):3448–3456
Mols F, Helfenrath KA, Vingerhoets AJ et al (2007) Increased health care utilization among long-term cancer survivors compared to the average dutch population: a population-based study. Int J Cancer 121(4):871–877
Mead K, Raskin S, Arem H, et al. 2019. Evaluating Different Types of Cancer Survivorship Care. Washington, DC: Patient‐Centered Outcomes Research Institute (PCORI). Final Research Report. Found at: https://www.pcori.org/sites/default/files/Mead158-Final-Research-Report.pdf. Accessed 20 Jan 2022
Mead K, Raskin S et al (2020) Identifying patients’ priorities for quality survivorship: conceptualizing a patient-centered approach to survivorship care. J Cancer Surviv 14:939–958
Schipper H, Clinch J, McMurray A, Levitt M (1984) Measuring the quality of life of cancer patients: the functional living index-cancer: development and validation. J Clin Oncol 2(5):472–482
Azuero A, Su X, McNees P, Meneses K (2013) A revision of the quality of life-breast cancer survivors (QOL-BCS) instrument. Res Nurs Health 36(4):423–434
Beckham JC, Burker EJ, Feldman ME, Costakis MJ (1997) Self-efficacy and adjustment in cancer patients: a preliminary report. Behav Med 23(3):138–142
Lorig K, Stewart A, Ritter P et al (1996) Outcome measures for health education and other healthcare interventions. Sage Publications, Thousands Oaks
Aday LA, Anderson R (1974) A framework for the study of access to medical care. Health Serv Res 9(3):208–220
Raghunathan TE, Solenberger PW, Hoewyk JV. IVEware: Imputation and Variation Estimation Software. 2002. Retrieved from: www.src.isr.umich.edu/software/iveware.
Jansana A, Posso M, Guerrero I et al (2019) Health care services use among long-term breast cancer survivors: a systematic review. J Canc Surv 13:477–493
Rendas-Baum R, D’Alessio D, Bjorner JB (2019) Health-related quality of life predicted subsequent health care resource utilization in patients with active cancer. Qual Life Res 28(4):1085–1095
Champagne A, Ivers H, Savard J (2018) Utilization of health care services in cancer patients with elevated fear of cancer recurrence. Psychooncology 27(8):1958–1964
Otto AK, Soriano EC, Siegel SD et al (2018) Assessing the relationship between fear of cancer recurrence and health care utilization in early-stage breast cancer survivors. J Cancer Surviv 12(6):775–785
Cheruvu VK, Oancea SC (2016) Current depression as a potential barrier to health care utilization in adult cancer survivors. Cancer Epidemiol 44:132–137
Kent EE, Forsyth LP, Yabroff KR et al (2013) Are survivors who report cancer-related financial problems more likely to forgo or delay medical care? Cancer 119(20):3710–3717
Kenzik KM, Kvale EA, Rocque GB et al (2016) Treatment summaries and follow-up care instructions for cancer survivors: improving survivor self-efficacy and health care utilization. Oncologist 21(7):817–824
Kim J, Braun B, Williams AD (2013) Understanding health insurance literacy: a literature review. Fam Consumer Sci Res J 42(1):3–13
Factors That Affect Health-Care Utilization. In: National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Health Care Services; Committee on Health Care Utilization and Adults with Disabilities, ed. Health-Care Utilization as a Proxy in Disability Determination. Washington DC: National Academies Press US 2018
Hewitt M, Rowland JH (2002) Mental health service use among adult cancer survivors: analyses of the National health interview survey. J Clin Oncol 20(23):4581–4590
Harrison R, Raman M, Walpola RL, Chauhan A, Sansom-Daly UM (2021) Preparing for partnerships in cancer care: an explorative analysis of the role of family-based caregivers. BMC Health Serv Res 21(1):620. https://doi.org/10.1186/s12913-021-06611-0.PMID:34187469;PMCID:PMC8240189
Dolce MC (2011) The Internet as a source of health information: experiences of cancer survivors and caregivers with healthcare providers. Oncol Nurs Forum 38(3):353–359. https://doi.org/10.1188/11.ONF.353-359 (PMID: 21531685)
Feng X, Higa GM, Safarudin F, Sambamoorthi U, Tan X (2019) Potentially inappropriate medication use and associated healthcare utilization and costs among older adults with colorectal, breast, and prostate cancers. J Geriatr Oncol 10(5):698–704. https://doi.org/10.1016/j.jgo.2019.01.012 (Epub 2019 Feb 13 PMID: 30772191)
Hanchate AD, Clough-Gorr KM, Ash AS, Thwin SS, Silliman RA (2010) Longitudinal patterns in survival, comorbidity, healthcare utilization and quality of care among older women following breast cancer diagnosis. J Gen Intern Med 25(10):1045–1050
Partridge A, Adloff K, Blood E et al (2008) Risk perceptions and psychosocial outcomes of women with ductal carcinoma in situ: longitudinal results from a cohort study. J Natl Cancer Inst 100(4):243–251
Lauzier S, Maunsell E, Levesque P et al (2010) Psychological distress and physical health in the year after diagnosis of DCIS or invasive breast cancer. Breast Cancer Res Treat 120(3):685–691
Acknowledgments
Patricia Berglund, University of Michigan Institute for Social Research, for her assistance with IVEware installation and methods. Thanks to all the participants and institutions who participated in this study.
Funding
This study was funded by Patient Centered Outcomes Research Institute, PCORI-ID IH-12–11-5255. Data collection was supported by the Clinical and Translational Science Institute at the Children’s National (CTSI-CN) which is funded through the National Institutes of Health (NIH) Clinical and Translational Science Award (CTSA) Program, grant UL1TR001876 and KL2TR001877. The CTSA program is led by the NIH’s National Center for Advancing Translational Sciences (NCATS). The authors have no conflicts of interest to declare that are relevant to the content of this article.
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Gonzalez, N., Mead, K.H., Pratt-Chapman, M.L. et al. Healthcare utilization in cancer survivors: six-month longitudinal cohort data. Cancer Causes Control 33, 1005–1012 (2022). https://doi.org/10.1007/s10552-022-01587-6
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DOI: https://doi.org/10.1007/s10552-022-01587-6