Literature DB >> 31975657

Medical Maximizing-Minimizing Predicts Patient Preferences for High- and Low-Benefit Care.

Laura D Scherer1,2, Victoria A Shaffer3, Tanner Caverly4,5,6, Jeff DeWitt6,7, Brian J Zikmund-Fisher7,8,9.   

Abstract

Purpose. People vary in their general preferences for more v. less health care, and the validated Medical Maximizing-Minimizing Scale (MMS) reliably measures this orientation. Medical maximizers (people scoring highly on the MMS) prefer to receive more health care visits, medications, tests, and treatments, whereas minimizers prefer fewer services. However, it is unclear how maximizing-minimizing preferences relate to willingness to pursue appropriate health care. We hypothesized that minimizers are at increased risk of rejecting evidence-based high-benefit care and that maximizers are at risk of wanting low-benefit care. Design. In total, 785 US adults recruited through an online panel expressed preferences to receive or forgo a health care intervention in 18 hypothetical scenarios. In 8 scenarios, the intervention was high benefit per evidence-based guidelines. In the remaining 10 scenarios, the intervention was low benefit. We assessed associations between participants' MMS score and their preferences for medical intervention in each scenario using regression analyses that adjusted for hypochondriasis, health risk tolerance, health status, and demographic variables. Results. MMS score was significantly associated with preferences in all 18 scenarios after adjusting for other variables. The MMS uniquely explained 11% of the variance in preferences for high-benefit care and 29% of the variance in preferences for low-benefit care. Differences between strong minimizers (10th percentile) and strong maximizers (90th percentile) across the 18 scenarios ranged from 5.6 to 32.3 points on a 1 to 100 preference scale. Conclusions. The MMS reliably predicts people's willingness to pursue appropriate care, both when appropriate care means taking high-benefit actions and when appropriate care means avoiding low-benefit actions. Targeting and tailoring messages according to maximizing-minimizing preferences might increase the effectiveness of both efforts to reduce overutilization of low-benefit services and campaigns to support uptake of high-benefit care.

Entities:  

Keywords:  Medical Maximizer-Minimizer Scale; appropriate use; health care utilization; medical maximizing-minimizing; patient preferences

Year:  2020        PMID: 31975657     DOI: 10.1177/0272989X19891181

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  8 in total

1.  Exploration of Primary Care Clinician Attitudes and Cognitive Characteristics Associated With Prescribing Antibiotics for Asymptomatic Bacteriuria.

Authors:  Jonathan D Baghdadi; Deborah Korenstein; Lisa Pineles; Laura D Scherer; Alison D Lydecker; Larry Magder; Deborah N Stevens; Daniel J Morgan
Journal:  JAMA Netw Open       Date:  2022-05-02

2.  A qualitative study to evaluate physician attitudes regarding omission of surgery among exceptional responders to neoadjuvant systemic therapy for breast cancer (NRG-CC006).

Authors:  Laila A Gharzai; Lauren A Szczygiel; Dean A Shumway; Hanna Bandos; Thomas B Julian; Eleftherios P Mamounas; Julia White; Jennifer F De Los Santos; Mark Basik; Patricia A Ganz; Reshma Jagsi
Journal:  Breast Cancer Res Treat       Date:  2021-03-19       Impact factor: 4.872

3.  Medical Maximizing-Minimizing Preferences in Relation to Low-Value Services for Older Women with Hormone Receptor-Positive Breast Cancer: A Qualitative Study.

Authors:  Nicole Mott; Ton Wang; Jacquelyn Miller; Nicholas L Berlin; Sarah Hawley; Reshma Jagsi; Brian J Zikmund-Fisher; Lesly A Dossett
Journal:  Ann Surg Oncol       Date:  2020-07-27       Impact factor: 5.344

4.  Older adults' strategies for obtaining medication refills in hypothetical scenarios in the face of COVID-19 risk.

Authors:  Sarah E Vordenberg; Brian J Zikmund-Fisher
Journal:  J Am Pharm Assoc (2003)       Date:  2020-06-25

5.  Promoting Reflection on Medical Maximizing-Minimizing Preferences May Create Undesired Effects on Decisions About Low-Benefit and High-Benefit Care.

Authors:  Brian J Zikmund-Fisher; Victoria A Shaffer; Laura D Scherer
Journal:  MDM Policy Pract       Date:  2021-01-29

6.  Preferences for More or Less Health Care and Association With Health Literacy of Men Eligible for Prostate-Specific Antigen Screening in Australia.

Authors:  Kristen Pickles; Laura D Scherer; Erin Cvejic; Jolyn Hersch; Alexandra Barratt; Kirsten J McCaffery
Journal:  JAMA Netw Open       Date:  2021-10-01

7.  Medical Decision Style and COVID-19 Behavior.

Authors:  Gustav Tinghög; Liam Strand
Journal:  Med Decis Making       Date:  2022-02-16       Impact factor: 2.749

8.  The Need for Brevity During Shared Decision Making (SDM) for Cancer Screening: Veterans' Perspectives on an "Everyday SDM" Compromise.

Authors:  Tanner J Caverly; Sarah E Skurla; Claire H Robinson; Brian J Zikmund-Fisher; Rodney A Hayward
Journal:  MDM Policy Pract       Date:  2021-10-26
  8 in total

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