'When all you have is a hammer, everything has to be a nail': Managing diagnostic uncertainty in urinary tract infection.

IF 2.7 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Sociology of health & illness Pub Date : 2024-06-03 DOI:10.1111/1467-9566.13803
Eleanor Kashouris
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Abstract

Diagnosis of urinary tract infections (UTI) is a routine part of medical work and yet is well recognised to be an area of high clinical uncertainty. Meanwhile, diagnosis of UTI is becoming increasingly important to policymakers globally due to concerns about antibiotic over-prescription. Drawing on Mol's concept of ontological multiplicity in clinical work, I explore how diagnostic uncertainty is co-ordinated into certainty by a UK national diagnostic algorithm for UTI. The diagnosis of UTI is produced or withheld as a post hoc rationalisation of a prior decision whether to prescribe antibiotics or not. Work in the sociology of diagnosis has already noted that diagnostic steps are often re-ordered by health-care professionals taking diverse actions in the best interest of their patients. This article contributes an argument that ordering diagnostic work around antimicrobial stewardship agendas has the effect of narrowing possible actions. Exploring the consequences and effects of doing diagnosis in this way for different groups, I argue that a greater creativity about what could be done to care for painful bladders could be found in a return to more clinical ways of working.

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当你只有一把锤子时,一切都会变成钉子":处理尿路感染诊断的不确定性。
尿路感染(UTI)的诊断是医疗工作的常规部分,但临床上却公认其不确定性很高。同时,由于人们对抗生素用药过量的担忧,UTI 诊断对全球政策制定者来说也变得越来越重要。借鉴莫尔在临床工作中提出的本体论多重性概念,我探讨了英国国家尿毒症诊断算法如何将诊断的不确定性协调为确定性。对尿毒症的诊断是作为事先决定是否处方抗生素的事后合理化而产生或保留的。诊断社会学方面的研究已经注意到,医护人员为了病人的最佳利益采取各种行动时,往往会重新安排诊断步骤。本文提出的论点是,围绕抗菌药物管理议程安排诊断工作会缩小可能采取的行动范围。在探讨以这种方式进行诊断对不同群体的后果和影响时,我认为,在回归更临床的工作方式时,可以发现在治疗膀胱疼痛方面可以采取的措施具有更大的创造性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.10
自引率
6.90%
发文量
156
期刊介绍: Sociology of Health & Illness is an international journal which publishes sociological articles on all aspects of health, illness, medicine and health care. We welcome empirical and theoretical contributions in this field.
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