Nicole Mott1, Ton Wang2,3, Jacquelyn Miller3, Nicholas L Berlin2,3, Sarah Hawley3,4,5,6, Reshma Jagsi3,7,6, Brian J Zikmund-Fisher4,5,6, Lesly A Dossett8,9,10. 1. University of Michigan Medical School, Ann Arbor, MI, USA. 2. Department of Surgery, University of Michigan, Ann Arbor, MI, USA. 3. Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA. 4. Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA. 5. Department of Health Education and Health Behavior, University of Michigan, Ann Arbor, MI, USA. 6. Center for Bioethics and Social Sciences in Medicine (CBSSM), Ann Arbor, MI, USA. 7. Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA. 8. Department of Surgery, University of Michigan, Ann Arbor, MI, USA. ldossett@umich.edu. 9. Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA. ldossett@umich.edu. 10. Center for Bioethics and Social Sciences in Medicine (CBSSM), Ann Arbor, MI, USA. ldossett@umich.edu.
Abstract
BACKGROUND: Multiple studies have demonstrated the safety of omitting therapies in older women with breast cancer. Despite de-implementation guidelines, up to 65% of older women continue to receive one or more of these low-value services. Previous work has investigated the role of both provider and patient attitudes as barriers to de-implementation; however, the importance of the patient's maximizing-minimizing preferences within this context remains unclear. METHODS: In this qualitative study, we conducted 30 semi-structured interviews with women ≥ 70 years of age without a previous diagnosis of breast cancer to elicit perspectives on breast cancer treatment in relation to their medical maximizing-minimizing preferences, as determined by the single-item maximizer-minimizer elicitation question (MM1). We used an interpretive description approach in analysis to produce a thematic survey. RESULTS: Participants were relatively evenly distributed across the MM1 (minimizer, n = 8; neutral, n = 13; maximizer, n = 9). Despite being told of recommendations allowing for the safe omission of sentinel lymph node biopsy and post-lumpectomy radiotherapy, maximizers consistently stated preferences for more medical intervention and aggressive therapies over minimizers and neutral individuals. CONCLUSION: Medical maximizing-minimizing preferences in older women correspond with preferences for breast cancer treatment options that guidelines identify as potentially unnecessary. Increased awareness of patient-level variability in maximizing-minimizing preferences may be valuable in developing optimal intervention strategies to reduce utilization of low-value care.
BACKGROUND: Multiple studies have demonstrated the safety of omitting therapies in older women with breast cancer. Despite de-implementation guidelines, up to 65% of older women continue to receive one or more of these low-value services. Previous work has investigated the role of both provider and patient attitudes as barriers to de-implementation; however, the importance of the patient's maximizing-minimizing preferences within this context remains unclear. METHODS: In this qualitative study, we conducted 30 semi-structured interviews with women ≥ 70 years of age without a previous diagnosis of breast cancer to elicit perspectives on breast cancer treatment in relation to their medical maximizing-minimizing preferences, as determined by the single-item maximizer-minimizer elicitation question (MM1). We used an interpretive description approach in analysis to produce a thematic survey. RESULTS: Participants were relatively evenly distributed across the MM1 (minimizer, n = 8; neutral, n = 13; maximizer, n = 9). Despite being told of recommendations allowing for the safe omission of sentinel lymph node biopsy and post-lumpectomy radiotherapy, maximizers consistently stated preferences for more medical intervention and aggressive therapies over minimizers and neutral individuals. CONCLUSION: Medical maximizing-minimizing preferences in older women correspond with preferences for breast cancer treatment options that guidelines identify as potentially unnecessary. Increased awareness of patient-level variability in maximizing-minimizing preferences may be valuable in developing optimal intervention strategies to reduce utilization of low-value care.
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