The Breast Cancer Quality of Care Study (BQUAL): A Multi-Center Study to Determine Causes for Noncompliance with Breast Cancer Adjuvant Therapy
Alfred I. Neugut MD, PhD
Department of Medicine
The Herbert Irving Comprehensive Cancer Center, College of Physicians and Surgeons
Department of Epidemiology
Search for more papers by this authorLawrence H. Kushi ScD
Division of Research, Kaiser Permanente of Northern California, Oakland, California
Search for more papers by this authorLois Lamerato PhD
Department of Biostatistics and Research Epidemiology
Search for more papers by this authorS. David Nathanson MD
Department of Surgery, Henry Ford Health System, Detroit, Michigan
Search for more papers by this authorChristine B. Ambrosone PhD
Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
Search for more papers by this authorDana H. Bovbjerg PhD
Departments of Psychiatry, Psychology and Behavioral & Community Health Sciences, University of Pittsburgh, and the University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania
Search for more papers by this authorJeanne S. Mandelblatt MD, MPH
Department of Oncology and Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC
Search for more papers by this authorWei-Yann Tsai PhD
Department of Biostatistics, Mailman School of Public Health, Columbia University, New York
Search for more papers by this authorJudith S. Jacobson DrPH, MBA
The Herbert Irving Comprehensive Cancer Center, College of Physicians and Surgeons
Department of Epidemiology
Search for more papers by this authorDawn L. Hershman MD, MS
Department of Medicine
The Herbert Irving Comprehensive Cancer Center, College of Physicians and Surgeons
Department of Epidemiology
Search for more papers by this authorAlfred I. Neugut MD, PhD
Department of Medicine
The Herbert Irving Comprehensive Cancer Center, College of Physicians and Surgeons
Department of Epidemiology
Search for more papers by this authorLawrence H. Kushi ScD
Division of Research, Kaiser Permanente of Northern California, Oakland, California
Search for more papers by this authorLois Lamerato PhD
Department of Biostatistics and Research Epidemiology
Search for more papers by this authorS. David Nathanson MD
Department of Surgery, Henry Ford Health System, Detroit, Michigan
Search for more papers by this authorChristine B. Ambrosone PhD
Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
Search for more papers by this authorDana H. Bovbjerg PhD
Departments of Psychiatry, Psychology and Behavioral & Community Health Sciences, University of Pittsburgh, and the University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania
Search for more papers by this authorJeanne S. Mandelblatt MD, MPH
Department of Oncology and Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC
Search for more papers by this authorWei-Yann Tsai PhD
Department of Biostatistics, Mailman School of Public Health, Columbia University, New York
Search for more papers by this authorJudith S. Jacobson DrPH, MBA
The Herbert Irving Comprehensive Cancer Center, College of Physicians and Surgeons
Department of Epidemiology
Search for more papers by this authorDawn L. Hershman MD, MS
Department of Medicine
The Herbert Irving Comprehensive Cancer Center, College of Physicians and Surgeons
Department of Epidemiology
Search for more papers by this authorAbstract
Abstract: In oncology, quality of care is a major issue for patients and providers. Significant variations in care, including nonreceipt of adjuvant systemic therapy, nonadherence to therapy, and/or early discontinuation of therapy, occur frequently and may impact survival. Reasons for these variations are not well understood, but may play a role in the prominent disparity in breast cancer survival between blacks and whites. Since May 2006, the Breast Cancer Quality of Care Study (BQUAL) has recruited 1158 women with nonmetastatic breast cancer from several centers across the country, with completed data on 1057 participants to date. Detailed information on demographic, behavioral, biomedical, and emotional factors related to chemotherapy use was collected on each participant at baseline and at two follow-up interviews during the first 6 months. In addition, for women with ER+ tumors, further questionnaires were completed every 6 months regarding hormonal therapy use. Each participant was also asked to provide a DNA sample, and to allow medical record review. We surveyed physicians providing care to the study participants regarding attitudes toward adjuvant treatment. The mean age of participants was 58 years (SD 11.6), and 15% (n = 160) were black. The majority had an annual household income <$90,000 (n = 683), had college education or higher (n = 802), 55.9% were married, and 57.9% were not currently employed. Seventy-six percent had hormone-receptor-positive tumors, 49.9% initiated chemotherapy and 82.7% started hormonal therapy. Blacks were more likely to have lower annual household income (p < 0001), less education (p = 0.0005), ER negative tumor status (p = 0.02), and poorly differentiated cancer (p = 0.0002). The main endpoints of the study are noninitiation of chemotherapy or hormonal therapy, nonadherence to therapy and early discontinuation of therapy. Treatment and outcomes will be compared on the 15% of participants who are black versus other participants. The BQUAL Study will be a rich ongoing source of information regarding reasons for differences in receipt of both adjuvant chemotherapy and hormonal therapy. This information may be useful in planning interventions to improve quality of care.
References
- 1 Clarke M, Collins R, Darby S, et al. Effects of radiotherapy and of differences in the extent of surgery for early breast cancer on local recurrence and 15-year survival: an overview of the randomised trials. Lancet 2005; 366: 2087–106.
- 2 Early Breast Cancer Trialists’ Collaborative Group (EBCTCG). Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. Lancet 2005; 365: 1687–717.
- 3 Hershman D, McBride R, Jacobson JS, et al. Racial disparities in treatment and survival among women with early-stage breast cancer. J Clin Oncol 2005; 23: 6639–46.
- 4 Lyman GH, Dale DC, Crawford J. Incidence and predictors of low dose-intensity in adjuvant breast cancer chemotherapy: a nationwide study of community practices. J Clin Oncol 2003; 21: 4524–31.
- 5 Partridge AH, Wang PS, Winer EP, Avorn J. Nonadherence to adjuvant tamoxifen therapy in women with primary breast cancer. J Clin Oncol 2003; 21: 602–6.
- 6 Bickell NA, McEvoy MD. Physicians’ reasons for failing to deliver effective breast cancer care: a framework for underuse. Med Care 2003; 41: 442–6.
- 7 Hershman DL, Wang X, McBride R, Jacobson JS, Grann VR, Neugut AI. Delay of adjuvant chemotherapy initiation following breast cancer surgery among elderly women. Breast Cancer Res Treat 2006; 99: 313–21.
- 8 Hershman DL, Wang X, McBride R, Jacobson JS, Grann VR, Neugut AI. Delay in initiating adjuvant radiotherapy following breast conservation surgery and its impact on survival. Int J Radiat Oncol Biol Phys 2006; 65: 1353–60.
- 9 Fedewa SA, Ward EM, Stewart AK, Edge SB. Delays in adjuvant chemotherapy treatment among patients with breast cancer are more likely in African American and Hispanic populations: a national cohort study 2004–2006. J Clin Oncol 2010; 28: 4135–41.
- 10 Silliman RA, Guadagnoli E, Weitberg AB, Mor V. Age as a predictor of diagnostic and initial treatment intensity in newly diagnosed breast cancer patients. J Gerontol 1989; 44: M46–50.
- 11 Li CI, Malone KE, Daling JR. Differences in breast cancer stage, treatment, and survival by race and ethnicity. Arch Intern Med 2003; 163: 49–56.
- 12 Hassett MJ, Griggs JJ. Disparities in breast cancer adjuvant chemotherapy: moving beyond yes or no. J Clin Oncol 2009; 27: 2120–1.
- 13 Bickell NA, LePar F, Wang JJ, Leventhal H. Lost opportunities: physicians’ reasons and disparities in breast cancer treatment. J Clin Oncol 2007; 25: 2516–21.
- 14 Magai C, Consedine N, Neugut AI, Hershman DL. Common psychosocial factors underlying breast cancer screening and breast cancer treatment adherence: a conceptual review and synthesis. J Womens Health (Larchmt) 2007; 16: 11–23.
- 15 Magai C, Consedine NS, Adjei BA, Hershman D, Neugut A. Psychosocial influences on suboptimal adjuvant breast cancer treatment adherence among African American women: implications for education and intervention. Health Educ Behav 2008; 35: 835–54.
- 16 Osterberg L, Blaschke T. Adherence to medication. N Engl J Med 2005; 353: 487–97.
- 17 Andrade SE, Kahler KH, Frech F, Chan KA. Methods for evaluation of medication adherence and persistence using automated databases. Pharmacoepidemiol Drug Saf 2006; 15: 565–74; discussion 75–7.
- 18 Cutler DM, Everett W. Thinking outside the pillbox – medication adherence as a priority for health care reform. N Engl J Med 2010; 362: 1553–5.
- 19 Partridge AH, LaFountain A, Mayer E, Taylor BS, Winer E, Asnis-Alibozek A. Adherence to initial adjuvant anastrozole therapy among women with early-stage breast cancer. J Clin Oncol 2008; 26: 556–62.
- 20 Kimmick G, Anderson R, Camacho F, Bhosle M, Hwang W, Balkrishnan R. Adjuvant hormonal therapy use among insured, low-income women with breast cancer. J Clin Oncol 2009; 27: 3445–51.
- 21 Ziller V, Kalder M, Albert US, et al. Adherence to adjuvant endocrine therapy in postmenopausal women with breast cancer. Ann Oncol 2009; 20: 431–6.
- 22 Chlebowski RT, Geller ML. Adherence to endocrine therapy for breast cancer. Oncology 2006; 71: 1–9.
- 23 Lash TL, Fox MP, Westrup JL, Fink AK, Silliman RA. Adherence to tamoxifen over the five-year course. Breast Cancer Res Treat 2006; 99: 215–20.
- 24 Noens L, van Lierde MA, De Bock R, et al. Prevalence, determinants, and outcomes of nonadherence to imatinib therapy in patients with chronic myeloid leukemia: the ADAGIO study. Blood 2009; 113: 5401–11.
- 25 Darkow T, Henk HJ, Thomas SK, et al. Treatment interruptions and non-adherence with imatinib and associated healthcare costs: a retrospective analysis among managed care patients with chronic myelogenous leukaemia. Pharmacoeconomics 2007; 25: 481–96.
- 26 Escalada P, Griffiths P. Do people with cancer comply with oral chemotherapy treatments? Br J Community Nurs 2006; 11: 532–6.
- 27 Fink AK, Gurwitz J, Rakowski W, Guadagnoli E, Silliman RA. Patient beliefs and tamoxifen discontinuance in older women with estrogen receptor-positive breast cancer. J Clin Oncol 2004; 22: 3309–15.
- 28 Grunfeld EA, Hunter MS, Sikka P, Mittal S. Adherence beliefs among breast cancer patients taking tamoxifen. Patient Educ Couns 2005; 59: 97–102.
- 29 Kwan ML, Ambrosone CB, Lee MM, et al. The Pathways Study: a prospective study of breast cancer survivorship within Kaiser Permanente Northern California. Cancer Causes Control 2008; 19: 1065–76.
- 30 Ambrosone CB, Ciupak GL, Bandera EV, et al. Conducting molecular epidemiological research in the age of HIPAA: a multi-institutional case-control study of breast cancer in African-American and European-American women. J Oncol 2009; 2009: 871250.
- 31 Mandelblatt J, Schechter CB, Lawrence W, Yi B, Cullen J. The SPECTRUM population model of the impact of screening and treatment on U.S. breast cancer trends from 1975 to 2000: principles and practice of the model methods. J Natl Cancer Inst Monogr 2006; 36: 47–55.
- 32 Brady MJ, Cella DF, Mo F, et al. Reliability and validity of the functional assessment of cancer therapy-breast quality-of-life instrument. J Clin Oncol 1997; 15: 974–86.
- 33 Holmes-Rovner M, Kroll J, Schmitt N, et al. Patient satisfaction with health care decisions: the satisfaction with decision scale. Med Decis Making 1996; 16: 58–64.
- 34 O’Connor AM. Effects of framing and level of probability on patients’ preferences for cancer chemotherapy. J Clin Epidemiol 1989; 42: 119–26.
- 35 Atkinson MJ, Sinha A, Hass SL, et al. Validation of a general measure of treatment satisfaction, the Treatment Satisfaction Questionnaire for Medication (TSQM), using a national panel study of chronic disease. Health Qual Life Outcomes 2004; 2: 26.
- 36 Llewellyn-Thomas HA, McGreal MJ, Thiel EC, Fine S, Erlichman C. Patients’ willingness to enter clinical trials: measuring the association with perceived benefit and preference for decision participation. Soc Sci Med 1991; 32: 35–42.
- 37 Portenoy RK, Thaler HT, Kornblith AB, et al. The Memorial Symptom Assessment Scale: an instrument for the evaluation of symptom prevalence, characteristics and distress. Eur J Cancer 1994; 30A: 1326–36.
- 38 Cella DF, Peterman A, Hudgens S, Webster K, Socinski MA. Measuring the side effects of taxane therapy in oncology: The Functional Assessment of Cancer Therapy – Taxane (FACT-Taxane). Cancer 2003; 98: 822–31.
- 39 Stanton AL, Bernaards CA, Ganz PA. The BCPT Symptom Scales: a measure of physical symptoms for women diagnosed with or at risk for breast cancer. J Natl Cancer Inst 2005; 97: 448–56.
- 40 Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. Family Med 2004; 36: 588–94.
- 41 Miller MD, Ferris DG. Measurement of subjective phenomena in primary care research: the Visual Analogue Scale. Family Pract Res J 1993; 13: 15–24.
- 42 Thompson HS, Valdimarsdottir HB, Winkel G, Jandorf L, Redd W. The Group-Based Medical Mistrust Scale: psychometric properties and association with breast cancer screening. Prev Med 2004; 38: 209–18 [doi: DOI: 10.1016/j.ypmed.2003.09.041].
- 43 Watson M, Greer S, Young J, Inayat Q, Burgess C, Robertson B. Development of a questionnaire measure of adjustment to cancer: the MAC scale. Psychol Med 1988; 18: 203–9.
- 44 Tedeschi RG, Calhoun LG. The post-traumatic growth inventory: measuring the positive legacy of trauma. J Trauma Stress 1996; 9: 455–71.
- 45
Lewis CA,
Shevlin M,
McGuckin C,
Navrátil M.
The Santa Clara Strength of Religious Faith Questionnaire: confirmatory factor analysis.
Pastoral Psychol
2001; 49: 379–84.
10.1023/A:1010370728546 Google Scholar
- 46
Plante TG,
Boccaccini MT.
The Santa Clara Strength of Religious Faith Questionnaire.
Pastoral Psychol
1997; 45: 375–87.
10.1007/BF02230993 Google Scholar
- 47 Scheier MF, Carver CS, Bridges MW. Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): a reevaluation of the Life Orientation Test. J Pers Soc Psychol 1994; 67: 1063–78.
- 48 Stanton AL, Danoff-Burg S, Cameron CL, et al. Emotionally expressive coping predicts psychological and physical adjustment to breast cancer. J Consult Clin Psychol 2000; 68: 875–82 [doi:10.1037/0022-006X.68.5.875].
- 49 Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med 1991; 32: 705–14.
- 50 Stewart AL, Nápoles-Springer AM, Gregorich SE, Santoyo-Olsson J. Interpersonal processes of care survey: patient-reported measures for diverse groups. Health Serv Res 2007; 42(3p1): 1235–56.
- 51 Weiss DS, Marmar CR. The impact of event scale – revised. In: JP Wilson, TM Keane, eds. Assessing Psychological Trauma and PTSD. New York: Guilford Press, 1997: 399–411.
- 52 Bartholomew K, Horowitz LM. Attachment styles among young adults: a test of a four-category model. J Pers Soc Psychol 1991; 61: 226–44.