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Team complexity and care coordination for cancer survivors with multiple chronic conditions: a mixed methods study

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Abstract

Purpose

Little is known about the perceptions and experiences of care received from healthcare teams among cancer survivors with multiple chronic conditions (MCCs).

Methods

Cancer survivors completed an online survey (N=441) of which 12 participated in an interview. Team complexity was operationalized based on team size, clinician specialties, and health system affiliation. Kilpatrick’s Patient-Perceptions of Team Effectiveness (PTE) questionnaire measured team effectiveness. Constant comparative method was used to identify care coordination challenges and facilitators from interviews.

Results

Mean age at cancer diagnosis was 45 years (SD=14), 68% were 5 years from diagnosis, the most common cancer was breast (27%), and two-thirds had two or more pre-diagnosis comorbidities. Sixty percent rated both cancer and other condition(s) as taking priority. Team complexity varied from low (32%), moderate (49%), and high (20%). Eighty percent rated PTE overall as high, with variation by subscales: coordination (85%) and patient-family focus (47%). Higher team complexity was associated with lower PTE overall (p=0.049). Challenges were identified: sequential referrals with no integration across team members; no shared mental model among team; and cancer survivor having to “referee” conflicting care decisions.

Conclusion

This mixed method study found an inverse relationship between team complexity and PTE-overall, where high-complexity teams had lower team effectiveness. Participants reported issues with the problem-solving abilities of their teams and felt like their contributions were not valued by their care team.

Implications for cancer survivors

Improving team effectiveness offers one way to leverage the expertise of multiple specialties to deliver integrated, patient-centered care for the growing population of cancer survivors with MCC.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Jiang C, Deng L, Karr MA, et al. Chronic comorbid conditions among adult cancer survivors in the United States: results from the National Health Interview Survey, 2002-2018. Cancer. 2022;128(4):828–38. https://doi.org/10.1002/cncr.33981.

    Article  PubMed  Google Scholar 

  2. Sarfati D, Koczwara B, Jackson C. The impact of comorbidity on cancer and its treatment. CA Cancer J Clin. 2016;66(4):337–50. https://doi.org/10.3322/caac.21342.

    Article  PubMed  Google Scholar 

  3. Tammemagi CM, Nerenz D, Neslund-Dudas C, et al. Comorbidity and survival disparities among Black and White patients with breast cancer. JAMA. 2005;294(14):1765–72. https://doi.org/10.1001/jama.294.14.1765.

    Article  CAS  PubMed  Google Scholar 

  4. Lee L, Cheung WY, Atkinson E, et al. Impact of comorbidity on chemotherapy use and outcomes in solid tumors: a systematic review. J Clin Oncol. 2011;29(1):106–17. https://doi.org/10.1200/jco.2010.31.3049.

    Article  PubMed  Google Scholar 

  5. Siembida EJ, Smith AW, Potosky AL, et al. Examination of individual and multiple comorbid conditions and health-related quality of life in older cancer survivors. Qual Life Res. 2021;30(4):1119–29. https://doi.org/10.1007/s11136-020-02713-0.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Koczwara B, Meng R, Battersby M, et al. Comorbidities and their management in women with breast cancer—an Australian survey of breast cancer survivors. Support Care Cancer. 2023;31(4):212. https://doi.org/10.1007/s00520-023-07678-7.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Doose M, Tsui J, Steinberg MB, et al. Patterns of chronic disease management and health outcomes in a population-based cohort of Black women with breast cancer. Cancer Causes Control. 32(2):157–68. https://doi.org/10.1007/s10552-020-01370-5.

  8. Pinheiro LC, Soroka O, Kern LM, et al. Diabetes care management patterns before and after a cancer diagnosis: a SEER-Medicare matched cohort study. Cancer. 2020. https://doi.org/10.1002/cncr.32728.

  9. Fleming ST, Pursley HG, Newman B, et al. Comorbidity as a predictor of stage of illness for patients with breast cancer. Med Care. 2005;43(2):132–40. https://doi.org/10.1097/00005650-200502000-00006.

    Article  PubMed  Google Scholar 

  10. Renzi C, Kaushal A, Emery J, et al. Comorbid chronic diseases and cancer diagnosis: disease-specific effects and underlying mechanisms. Nat Rev Clin Oncol. 2019;16(12):746–61. https://doi.org/10.1038/s41571-019-0249-6.

    Article  CAS  PubMed  Google Scholar 

  11. Nutting PA, Rost K, Smith J, et al. Competing demands from physical problems: effect on initiating and completing depression care over 6 months. Arch Fam Med. 2000;9(10):1059–64. https://doi.org/10.1001/archfami.9.10.1059.

    Article  CAS  PubMed  Google Scholar 

  12. Vogeli C, Shields AE, Lee TA, et al. Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J Gen Intern Med. 2007;22(Suppl 3):391–5. https://doi.org/10.1007/s11606-007-0322-1.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Smith SM, Wallace E, O'Dowd T, et al. Interventions for improving outcomes in patients with multimorbidity in primary care and community settings. Cochrane Database Syst Rev. 2021;1 https://doi.org/10.1002/14651858.CD006560.pub4.

  14. Verhoeven DC, Chollette V, Lazzara EH, et al. The anatomy and physiology of teaming in cancer care delivery: a conceptual framework. J Natl Cancer Inst. 2021;113(4):360–70. https://doi.org/10.1093/jnci/djaa166.

    Article  PubMed  Google Scholar 

  15. Doose M, Verhoeven D, Sanchez JI, et al. Clinical multiteam system composition and complexity among newly diagnosed early-stage breast, colorectal, and lung cancer patients with multiple chronic conditions: a SEER-Medicare analysis. JCO Oncol Pract. 2023;19(1):e33–42. https://doi.org/10.1200/op.22.00304.

    Article  PubMed  Google Scholar 

  16. Weaver SJ, Jacobsen PB. Cancer care coordination: opportunities for healthcare delivery research. Transl Behav Med. 2018;8(3):503–8. https://doi.org/10.1093/tbm/ibx079.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Tsui J, Hudson SV, Rubinstein EB, et al. A mixed-methods analysis of the capacity of the Patient-Centered Medical Home to implement care coordination services for cancer survivors. Transl Behav Med. 2018;8(3):319–27. https://doi.org/10.1093/tbm/ibx059.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Gisick LM, Webster KL, Keebler JR, et al. Measuring shared mental models in healthcare. J Patient Saf Risk Manag. 2018;23(5):207–19. https://doi.org/10.1177/2516043518796442.

    Article  Google Scholar 

  19. Mollica MA, Buckenmaier SS, Halpern MT, et al. Perceptions of care coordination among older adult cancer survivors: a SEER-CAHPS study. J Geriatr Oncol. 2021;12(3):446–52. https://doi.org/10.1016/j.jgo.2020.09.003.

    Article  CAS  PubMed  Google Scholar 

  20. Ayanian JZ, Zaslavsky AM, Guadagnoli E, et al. Patients' perceptions of quality of care for colorectal cancer by race, ethnicity, and language. J Clin Oncol. 2005;23(27):6576–86. https://doi.org/10.1200/jco.2005.06.102.

    Article  PubMed  Google Scholar 

  21. Okado I, Pagano I, Cassel K, et al. Clinical research professional providing care coordination support: a study of Hawaii minority/underserved NCORP community site trial participants. J Oncol Pract. 2022;18(7):e1114–21. https://doi.org/10.1200/OP.21.00655.

    Article  Google Scholar 

  22. Doose M, Verhoeven D, Sanchez JI, et al. Team-based care for cancer survivors with comorbidities: a systematic review. J Healthc Qual. 2022;44(5):255–68. https://doi.org/10.1097/jhq.0000000000000354.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Fetters MD, Curry LA, Creswell JW. Achieving integration in mixed methods designs-principles and practices. Health Serv Res. 2013;48(6 Pt 2):2134–56. https://doi.org/10.1111/1475-6773.12117.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Plano Clark VL, Ivankov NV. How to use mixed methods research? Understanding the basic mixed methods designs. In: Mixed methods research: a guide to the field. Washington, DC: SAGE Publications, Inc. 2016.

    Chapter  Google Scholar 

  25. Agency for Healthcare Research and Quality. CAHPS patient experience surveys and guidance. https://www.ahrq.gov/cahps/surveys-guidance/index.html. Accessed 11 May 2023.

  26. National Cancer Institute. Health Information National Trends Survey. 2020. https://hints.cancer.gov/. Accessed 11 May 2023.

  27. Agency for Healthcare Research and Quality. Medical Expenditure Panel Survey (MEPS). 2020. https://www.meps.ahrq.gov/mepsweb/. Accessed 14 Apr 2023.

  28. Centers for Disease Control and Prevention and National Center for Health Statistics. National Health and Nutrition Examination Survey (NHANES) questionnaires, datasets, and related documentation. 2020. https://www.cdc.gov/nchs/nhanes/index.htm. Accessed 25 Apr 2023.

  29. Doose M, Mollica MA, Attai DJ, et al. Identifying and describing cancer survivors: implications for cancer survivorship research and clinical care. Cancer. 2022;128(2):383–90. https://doi.org/10.1002/cncr.33937.

    Article  PubMed  Google Scholar 

  30. National Cancer Institute. National Cancer Institute Follow-up Care Use Among Survivors (FOCUS) survey. https://cancercontrol.cancer.gov/ocs/resources/researchers/FOCUS. Accessed 11 May 2023.

  31. American Cancer Society. Health professionals associated with cancer care. 2023. https://www.cancer.org/cancer/managing-cancer/finding-care/health-professionals-associated-with-cancer-care.html. Accessed 11 May 2023.

  32. Kilpatrick K, Tchouaket É, Paquette L, et al. Measuring patient and family perceptions of team processes and outcomes in healthcare teams: questionnaire development and psychometric evaluation. BMC Health Serv Res. 2019;19(1):9. https://doi.org/10.1186/s12913-018-3808-0.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Zaccaro SJ, Dubrow S, Torres EM, et al. Multiteam systems: an integrated review and comparison of different forms. Annu Rev Organ Psych Organ Behav. 2020;7(1):479–503. https://doi.org/10.1146/annurev-orgpsych-012119-045418.

    Article  Google Scholar 

  34. Douglas BD, Ewell PJ, Brauer M. Data quality in online human-subjects research: comparisons between MTurk, Prolific, CloudResearch, Qualtrics, and SONA. PLoS One. 2023;18(3):e0279720. https://doi.org/10.1371/journal.pone.0279720.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Peer E, Rothschild D, Gordon A, et al. Data quality of platforms and panels for online behavioral research. Behav Res Methods. 2022;54(4):1643–62. https://doi.org/10.3758/s13428-021-01694-3.

    Article  PubMed  Google Scholar 

  36. CloudResearch. How are participants on Prime Panels compensated? https://go.cloudresearch.com/knowledge/how-are-participants-on-prime-panels-compensated?__hstc=83133584.8b50514c63f199599cd2aa7ac4568286.1695926089565.1695926089565.1695926089565.1&__hssc=83133584.2.1695926089566&__hsfp=471034161. Accessed 09 Sep 2023.

  37. USDA Economic Research Service and Agriculture USDo. 2010 rural-urban commuting area codes, ZIP code file. 2023. https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes.aspx. Accessed 11 May 2023.

  38. ResDAC. CMS cell size suppression policy. 2017. https://resdac.org/articles/cms-cell-size-suppression-policy#:~:text=The%20policy%20stipulates%20that%20no,the%20minimum%20cell%20size%20policy.

  39. Cavers D, Habets L, Cunningham-Burley S, et al. Living with and beyond cancer with comorbid illness: a qualitative systematic review and evidence synthesis. J Cancer Surviv. 2019;13(1):148–59. https://doi.org/10.1007/s11764-019-0734-z.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Hohmann NS, McDaniel CC, Mason SW, et al. Patient perspectives on primary care and oncology care coordination in the context of multiple chronic conditions: a systematic review. Res Soc Adm Pharm. 2020;16(8):1003–16. https://doi.org/10.1016/j.sapharm.2019.11.014.

    Article  Google Scholar 

  41. Chollette V, Weaver SJ, Huang G, et al. Identifying cancer care team competencies to improve care coordination in multiteam systems: a modified delphi study. JCO Oncol Pract. 2020;16(11):e1324–31. https://doi.org/10.1200/op.20.00001.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Kline RM, Rocque GB, Rohan EA, et al. Patient navigation in cancer: the business case to support clinical needs. JCO Oncol Pract. 2019;15(11):585–90. https://doi.org/10.1200/JOP.19.00230.

    Article  Google Scholar 

  43. Pierre-Victor D, Martin IK, Adjei B, et al. Oncologists’ perceived confidence and attitudes toward managing pre-existing chronic comorbidities during patients’ active cancer treatment. J Natl Med Assoc. 2023; https://doi.org/10.1016/j.jnma.2023.05.002.

  44. Arch JJ, Carr AL. Using mechanical Turk for research on cancer survivors. Psycho-Oncology. 2017;26(10):1593–603. https://doi.org/10.1002/pon.4173.

    Article  PubMed  Google Scholar 

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Acknowledgements

Research reported in this publication was supported by the 2022 William G. Coleman Minority Health and Health Disparities Research Innovation Award issued by the Intramural Research Program of the National Institute on Minority Health and Health Disparities.

Funding

This work was supported by the 2022 William G. Coleman Minority Health and Health Disparities Research Innovation Award issued by the Intramural Research Program of the National Institute on Minority Health and Health Disparities.

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Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Dana Verhoeven and Michelle Doose. The first draft of the manuscript was written by Michelle Doose and Dana Verhoeven, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Dana Verhoeven.

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This article was produced by employees of the US government as part of their official duties. Findings and conclusions are those of the authors and do not necessarily represent the official views of the National Institutes of Health, National Cancer Institute, or other federal agencies.

Ethics approval

The NIH Institutional Review Board approved all study procedures under IRB exemption (NIH IRB protocol #000762).

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Informed consent was obtained from all individual participants included in the study.

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Verhoeven, D., Doose, M., Chollette, V. et al. Team complexity and care coordination for cancer survivors with multiple chronic conditions: a mixed methods study. J Cancer Surviv (2024). https://doi.org/10.1007/s11764-023-01488-w

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