Increasing Inclusivity and Reducing Reactance During Provider-Patient Interactions.

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Lillianna Shields, Tony Stovall, Helen Colby
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引用次数: 0

Abstract

Background: Significant health disparities exist for trans and gender-nonconforming patients, in part caused by a reduced likelihood of seeking health care due to experienced discrimination in health care settings. Increasing inclusivity in patient-provider interactions can decrease barriers to care seeking for these patients, but such advice to providers must be simple to implement and account for potential backlash among certain patient subgroups.

Methods: In 3 studies, we use online samples to experimentally test patient reactions to 2 methods of provider inclusivity signaling: verbal sharing of the provider's pronouns and request for the patient's pronouns (a method frequently suggested in the literature) and the provider wearing a pin indicating their pronouns without verbal sharing or requesting that the patient share their pronouns.

Results: Study 1 finds that political orientation significantly moderated the effect of pronoun request on patient satisfaction with the visit, P = .003; satisfaction with the doctor, P = .003; and willingness to return to the provider, P = .007, with politically liberal participants being more satisfied and more likely to return when pronouns were requested and politically conservative participants less satisfied and less likely to return. Study 2 replicated these findings and demonstrated that such backlash among conservative participants did not occur when inclusivity was indicated via the provider wearing a pin indicating their pronouns. Study 3 showed that while pronoun pins may be subtle enough to not cause backlash, they are noticed by the target community and increase satisfaction and willingness to return among participants who identify as trans, nonbinary, and genderqueer.

Limitations: These studies were hypothetical scenario studies run online rather than field studies.

Conclusions: These results suggest that recommendations for increasing inclusivity should account for potential negative impacts on the practice from more politically conservative patients and that more subtle methods of indicating an inclusive health care environment are likely to be more implementable for practitioners in the field while still positively affecting the target population.

Highlights: Increasing inclusivity in health care settings by verbally sharing and requesting pronouns can cause backlash and aggression among politically conservative patients.More subtle methods of inclusivity signaling such as providers wearing pins sharing their own pronouns do not have this type of backlash effect and increase satisfaction and willingness to return among non-cisgender patients.Recommendations for increasing inclusivity in health care settings should consider negative reactions from other patient subgroups to ensure recommendations are those providers are likely to be willing and able to implement long term.

增加包容性和减少抗拒在医生和病人的互动。
背景:跨性别和性别不一致的患者存在显著的健康差异,部分原因是由于在卫生保健机构中经历过歧视而降低了寻求卫生保健的可能性。增加患者-提供者互动的包容性可以减少这些患者寻求护理的障碍,但对提供者的此类建议必须易于实施,并考虑到某些患者亚组的潜在反弹。方法:在3项研究中,我们使用在线样本实验测试了患者对两种提供者包容性信号的反应:口头分享提供者的代词并要求患者提供代词(这是文献中经常提出的方法),以及提供者佩戴指示其代词的胸针,但不口头分享或要求患者分享其代词。结果:研究1发现,政治倾向显著调节了代词请求对患者就诊满意度的影响,P = 0.003;对医生的满意度,P = .003;和返回提供者的意愿,P = .007,当要求使用代词时,政治上自由的参与者更满意,更有可能返回,而政治上保守的参与者则不太满意,更不可能返回。研究2重复了这些发现,并表明,当提供者戴着标明他们代词的别针来表示包容性时,保守派参与者中的这种反弹不会发生。研究3表明,虽然代词别针可能足够微妙,不会引起反弹,但它们会被目标群体注意到,并增加那些自认为是跨性别、非二元和性别酷儿的参与者的满意度和回头率。局限性:这些研究是在线进行的假设情景研究,而不是实地研究。结论:这些结果表明,增加包容性的建议应该考虑到更多政治上保守的患者对实践的潜在负面影响,并且更微妙的方法表明包容性医疗环境可能对该领域的从业者更容易实施,同时仍然对目标人群产生积极影响。重点:通过口头分享和要求代词来增加医疗保健环境的包容性,可能会在政治上保守的患者中引起反弹和攻击。更微妙的包容性信号方式,如医生佩戴别针共享自己的代名词,不会产生这种反作用,而且会增加非顺性患者的满意度和回访意愿。关于在卫生保健环境中增加包容性的建议应考虑到其他患者亚组的负面反应,以确保提供者可能愿意并能够长期实施这些建议。
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来源期刊
Medical Decision Making
Medical Decision Making 医学-卫生保健
CiteScore
6.50
自引率
5.60%
发文量
146
审稿时长
6-12 weeks
期刊介绍: Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.
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