Disparities in Electronic Screening for Cancer-Related Psychosocial Distress May Promote Systemic Barriers to Quality Oncologic Care

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Thomas L. Sutton Department of Surgery,

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Marina Affi Koprowski Department of Surgery,

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Jeffrey A. Gold Department of Medicine,

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Benjamin Liu Department of Psychiatry,

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Alison Grossblatt-Wait Knight Cancer Institute,

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Caroline Macuiba Knight Cancer Institute,

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Andrea Lehman Knight Cancer Institute,

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Susan Hedlund Knight Cancer Institute,

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Flavio G. Rocha Knight Cancer Institute,
Division of Surgical Oncology, Department of Surgery, and

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Jonathan R. Brody Department of Surgery,
Brenden-Colson Center for Pancreatic Care, Oregon Health & Science University, Portland, Oregon.

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Brett C. Sheppard Department of Surgery,
Brenden-Colson Center for Pancreatic Care, Oregon Health & Science University, Portland, Oregon.

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Background: Screening for cancer-related psychosocial distress is an integral yet laborious component of quality oncologic care. Automated preappointment screening through online patient portals (Portal, MyChart) is efficient compared with paper-based screening, but unstudied. We hypothesized that patient access to and engagement with EHR-based screening would positively correlate with factors associated with digital literacy (eg, age, socioeconomic status). Methods: Screening-eligible oncology patients seen at our Comprehensive Cancer Center from 2014 through 2019 were identified. Patients with active Portals were offered distress screening. Portal and screening participation were analyzed via multivariable logistic regression. Household income in US dollars and educational attainment were estimated utilizing zip code and census data. Results: Of 17,982 patients, 10,279 (57%) had active Portals and were offered distress screening. On multivariable analysis, older age (odds ratio [OR], 0.97/year; P<.001); male gender (OR, 0.89; P<.001); Black (OR, 0.47; P<.001), Hawaiian/Pacific Islander (OR, 1.54; P=.007), and Native American/Alaskan Native race (OR, 0.67; P=.04); Hispanic ethnicity (OR, 0.76; P<.001); and Medicare (OR, 0.59; P<.001), Veteran’s Affairs/military (OR, 0.09; P<.01), Medicaid (OR, 0.34; P<.001), or no insurance coverage (OR, 0.57; P<.001) were independently associated with lower odds of being offered distress screening; increasing income (OR, 1.05/$10,000; P<.001) and educational attainment (OR, 1.03/percent likelihood of bachelor’s degree or higher; P<.001) were independently associated with higher odds. In patients offered electronic screening, participation rate was 36.6% (n=3,758). Higher educational attainment (OR, 1.01; P=.03) was independently associated with participation, whereas Black race (OR, 0.58; P=.004), Hispanic ethnicity (OR, 0.68; P=.01), non-English primary language (OR, 0.67; P=.03), and Medicaid insurance (OR, 0.78; P<.001) were independently associated with nonparticipation. Conclusions: Electronic portal–based screening for cancer-related psychosocial distress leads to underscreening of vulnerable populations. At institutions using electronic distress screening workflows, supplemental screening for patients unable or unwilling to engage with electronic screening is recommended to ensure efficient yet equal-opportunity distress screening.

Submitted December 30, 2021; final revision received February 19, 2022; accepted for publication March 25, 2022.

Disclosures: Dr. Brody has disclosed serving as a scientific advisor for and owning stock in Perthera. The remaining authors have disclosed that they have not received any financial consideration from any person or organization to support the preparation, analysis, results, or discussion of this article.

Author contributions: Conceptualization: Sutton, Koprowski, Gold, Liu, Mucuiba, Lehman, Hedlund, Rocha, Brody, Sheppard. Data curation: Grossblatt-Wait. Formal analysis: Sutton, Grossblatt-Wait. Investigation: Sutton, Koprowski, Gold, Grossblatt-Wait. Methodology: Sutton, Liu, Grossblatt-Wait, Mucuiba, Lehman, Hedlund, Rocha. Project administration: Brody, Sheppard. Resources: Mucuiba, Lehman, Hedlund, Rocha. Software: Grossblatt-Wait. Supervision: Liu, Brody, Sheppard. Visualization: Sutton, Koprowski, Mucuiba, Lehman, Hedlund, Rocha. Writing – original draft: Sutton, Koprowski. Writing – review & editing: All authors.

Correspondence: Brett C. Sheppard, MD, Division of Surgical Oncology, Department of Surgery, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, L-223, Portland, OR 97239. Email: sheppard@ohsu.edu

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  • 1.

    Bultz BD, Carlson LE. Emotional distress: the sixth vital sign in cancer care. J Clin Oncol 2005;23:64406441.

  • 2.

    Faller H, Schuler M, Richard M, et al. Effects of psycho-oncologic interventions on emotional distress and quality of life in adult patients with cancer: systematic review and meta-analysis. J Clin Oncol 2013;31: 782793.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    Stagl JM, Lechner SC, Carver CS, et al. A randomized controlled trial of cognitive-behavioral stress management in breast cancer: survival and recurrence at 11-year follow-up. Breast Cancer Res Treat 2015;154: 319328.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Riba MB, Donovan KA, Andersen B, et al. Distress Management, Version 3.2019, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw 2019;17:12291249. To view the most recent version, visit NCCN.org

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Adler NE, Page AEK, eds. Cancer Care for the Whole Patient: Meeting Psychosocial Health Needs. Washington, DC: National Academies Press; 2008.

  • 6.

    Commission on Cancer. Optimal Resources for Cancer Care: 2020 Standards. Accessed December 1, 2021. Available at: https://www.facs.org/-/media/files/quality-programs/cancer/coc/optimal_resources_for_cancer_ care_2020_standards.ashx

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Mehnert A, Hartung TJ, Friedrich M, et al. One in two cancer patients is significantly distressed: prevalence and indicators of distress. Psychooncology 2018;27:7582.

  • 8.

    Herschbach P, Britzelmeir I, Dinkel A, et al. Distress in cancer patients: who are the main groups at risk? Psychooncology 2020;29:703710.

  • 9.

    Apenteng BA, Hansen AR, Opoku ST, et al. Racial disparities in emotional distress among cancer survivors: insights from the Health Information National Trends Survey (HINTS). J Cancer Educ 2017;32:556565.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Massie MJ. Prevalence of depression in patients with cancer. J Natl Cancer Inst Monogr 2004;2004:5771.

  • 11.

    John DA, Kawachi I, Lathan CS, et al. Disparities in perceived unmet need for supportive services among patients with lung cancer in the Cancer Care Outcomes Research and Surveillance Consortium. Cancer 2014;120:31783191.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Ellis KR, Black KZ, Baker S, et al. Racial differences in the influence of health care system factors on informal support for cancer care among black and white breast and lung cancer survivors. Fam Community Health 2020;43:200212.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13.

    Yee MK, Sereika SM, Bender CM, et al. Symptom incidence, distress, cancer-related distress, and adherence to chemotherapy among African American women with breast cancer. Cancer 2017;123:20612069.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Mausbach BT, Schwab RB, Irwin SA. Depression as a predictor of adherence to adjuvant endocrine therapy (AET) in women with breast cancer: a systematic review and meta-analysis. Breast Cancer Res Treat 2015;152:239246.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Kissane D. Beyond the psychotherapy and survival debate: the challenge of social disparity, depression and treatment adherence in psychosocial cancer care. Psychooncology 2009;18:15.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Lazenby M, Ercolano E, Grant M, et al. Supporting commission on cancer-mandated psychosocial distress screening with implementation strategies. J Oncol Pract 2015;11:e413420.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Zebrack B, Kayser K, Padgett L, et al. Institutional capacity to provide psychosocial oncology support services: a report from the Association of Oncology Social Work. Cancer 2016;122:19371945.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Kayser K, Brydon DM, Moon H, et al. Institutional capacity to provide psychosocial care in cancer programs: addressing barriers to delivering quality cancer care. Psychooncology 2020;29:19952002.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Carlson LE, Waller A, Groff SL, et al. Online screening for distress, the 6th vital sign, in newly diagnosed oncology outpatients: randomised controlled trial of computerised vs personalised triage. Br J Cancer 2012;107:617625.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Vodermaier A, Linden W, Siu C. Screening for emotional distress in cancer patients: a systematic review of assessment instruments. J Natl Cancer Inst 2009;101:14641488.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21.

    Pirl WF, Fann JR, Greer JA, et al. Recommendations for the implementation of distress screening programs in cancer centers: report from the American Psychosocial Oncology Society (APOS), Association of Oncology Social Work (AOSW), and Oncology Nursing Society (ONS) joint task force. Cancer 2014;120:29462954.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    Sutton TL, Koprowski MA, Grossblatt-Wait A, et al. Psychosocial distress is dynamic across the spectrum of cancer care and requires longitudinal screening for patient-centered care. Support Care Cancer 2022;30: 42554264.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23.

    Barclay C, Viswanathan M, Ratner S, et al. Implementing evidence-based screening and counseling for unhealthy alcohol use with Epic-based electronic health record tools. Jt Comm J Qual Patient Saf 2019;45:566574.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    Richardson LP, Zhou C, Gersh E, et al. Effect of electronic screening with personalized feedback on adolescent health risk behaviors in a primary care setting: a randomized clinical trial. JAMA Netw Open 2019;2:e193581.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Satre DD, Anderson AN, Leibowitz AS, et al. Implementing electronic substance use disorder and depression and anxiety screening and behavioral interventions in primary care clinics serving people with HIV: protocol for the Promoting Access to Care Engagement (PACE) trial. Contemp Clin Trials 2019;84:105833.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26.

    Pew Research Center. Internet/Broadband Fact Sheet. Accessed December 1, 2021. Available at: https://www.pewresearch.org/internet/fact-sheet/internet-broadband/#internet-use-over-time

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27.

    Nouri S, Khoong EC, Lyles CR, et al. Addressing equity in telemedicine for chronic disease management during the COVID-19 pandemic. Accessed December 1, 2021. Available at: https://catalyst.nejm.org/doi/full/10.1056/CAT.20.0123?targetBtn=articleToolSaveBtn

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28.

    Berkowitz SA, Traore CY, Singer DE, et al. Evaluating area-based socioeconomic status indicators for monitoring disparities within health care systems: results from a primary care network. Health Serv Res 2015;50:398417.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29.

    Krieger N, Chen JT, Waterman PD, et al. Choosing area based socioeconomic measures to monitor social inequalities in low birth weight and childhood lead poisoning: the Public Health Disparities Geocoding Project (US). J Epidemiol Community Health 2003;57:186199.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30.

    Sutton TL, Walker BS, Nabavizadeh N, et al. ASO visual abstract: geographic disparities in referral rates and oncologic outcomes of intrahepatic cholangiocarcinoma: a population-based study. Ann Surg Oncol 2021;28:716717.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31.

    Kwak SK, Kim JH. Statistical data preparation: management of missing values and outliers. Korean J Anesthesiol 2017;70:407411.

  • 32.

    Zhang Z. Missing data imputation: focusing on single imputation. Ann Transl Med 2016;4:9.

  • 33.

    Herschbach P, Keller M, Knight L, et al. Psychological problems of cancer patients: a cancer distress screening with a cancer-specific questionnaire. Br J Cancer 2004;91:504511.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34.

    Walker ZJ, Xue S, Jones MP, et al. Depression, anxiety, and other mental disorders in patients with cancer in low- and lower-middle-income countries: a systematic review and meta-analysis. JCO Glob Oncol 2021;7:12331250.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 35.

    Berry DL, Blonquist TM, Patel RA, et al. Exposure to a patient-centered, web-based intervention for managing cancer symptom and quality of life issues: impact on symptom distress. J Med Internet Res 2015;17:e136.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36.

    van den Berg SW, Peters EJ, Kraaijeveld JF, et al. Usage of a generic web-based self-management intervention for breast cancer survivors: substudy analysis of the BREATH trial. J Med Internet Res 2013;15:e170.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37.

    Choi NG, Dinitto DM. The digital divide among low-income homebound older adults: internet use patterns, eHealth literacy, and attitudes toward computer/Internet use. J Med Internet Res 2013;15:e93.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38.

    Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records. N Engl J Med 2010;363:501504.

  • 39.

    Stein JN, Klein JW, Payne TH, et al. Communicating with vulnerable patient populations: a randomized intervention to teach inpatients to use the electronic patient portal. Appl Clin Inform 2018;9:875883.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 40.

    Ramsey A, Lanzo E, Huston-Paterson H, et al. Increasing patient portal usage: preliminary outcomes from the MyChart Genius Project. J Adolesc Health 2018;62:2935.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 41.

    Beckjord EB, Rechis R, Nutt S, et al. What do people affected by cancer think about electronic health information exchange? Results from the 2010 LIVESTRONG Electronic Health Information Exchange Survey and the 2008 Health Information National Trends Survey. J Oncol Pract 2011;7:237241.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 42.

    Bluethmann SM, Coa KI, Alfano CM, et al. Electronic health information exchange opportunities for self-management of care: responses from older adults with and without cancer history in the United States. Curr Oncol Rep 2018;20:30.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 43.

    Gonzalez BD. Promise of mobile health technology to reduce disparities in patients with cancer and survivors. JCO Clin Cancer Inform 2018;2:19.

  • 44.

    Berry DL, Hong F, Halpenny B, et al. Electronic self-report assessment for cancer and self-care support: results of a multicenter randomized trial. J Clin Oncol 2014;32:199205.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
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