医疗保健专业人员对英国二级医疗机构住院患者和门诊患者健康计算能力的估计的横断面研究。

BMJ public health Pub Date : 2025-09-17 eCollection Date: 2025-01-01 DOI:10.1136/bmjph-2025-002659
Calisha Allen, Chad Byworth, Rajashree Murki, Sarah Beale, Akifah Mojadady, Lubnaa Ghoora, Jameela Nagri, Chetan D Parmar
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引用次数: 0

摘要

简介:一项横断面研究,以确定医疗保健专业人员(HCPs)是否可以准确地估计患者的健康计算能力。方法:选取英国一家城市综合医院的住院和门诊患者,进行有效的健康计算评估和相关的人口统计问卷调查。向与患者有护理互动的医护人员展示了健康计算能力评估,告知了评估验证研究中的平均分和标准差,然后要求他们估计患者的得分。结果测量是HCP低估、正确估计和高估的比例,以及HCP估计值与患者通过类内相关系数(ICC)评估的评分的比较。结果:142例患者完成健康计算能力评估,平均得分为38.9%,标准差为33.4%。从HCPs获得了220个患者健康计算能力的估计。所有HCP组都高估了患者的健康计算能力,高估占所有估计值的66.8%。所有HCP组的ICC均低于0.4 (ICC为0.054;95% CI为-0.078至0.185),表明HCP的估计值与通过健康计算能力评估测量的患者健康计算能力之间的一致性较差。高级医生(咨询师和登记员)最有可能正确估计患者的健康计算能力(分别占估计的20.8%和20.0%)。结论:良好的健康计算能力对于有效了解风险、共同决策和同意过程至关重要。然而,不同专业背景的医护人员难以正确估计患者的健康计算能力,并倾向于高估它。鉴于很大一部分患者的健康计算能力较差,存在这样一种风险,即医护人员可能无法识别患者健康计算能力差可能破坏共同决策和/或导致不良结果的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cross-sectional study of healthcare professionals' estimates of the health numeracy of inpatients and outpatients in a UK secondary care setting.

Introduction: A cross-sectional study to identify whether healthcare professionals (HCPs) can accurately estimate the health numeracy of patients.

Methods: A convenient sample of inpatients and outpatients, in an urban UK general hospital, undertook a validated health numeracy assessment and associated demographics questionnaire. HCPs who had a care interaction with the patient were shown the health numeracy assessment, informed of the mean score and SD in the assessment's validation study, and were then asked to estimate their patient's score. Outcome measures were the proportion of underestimations, correct estimations and overestimations by HCPs and a comparison of HCP estimates to the patient's score on the assessment as assessed through the intraclass correlation coefficient (ICC).

Results: Health numeracy assessments were completed by 142 patients with a mean score of 38.9% and an SD of 33.4%. There were 220 estimations of patients' health numeracy obtained from HCPs. All HCP groups overestimated patient health numeracy with overestimates accounting for 66.8% of all estimates. ICC was below 0.4 for all HCP groups (ICC 0.054; 95% CI -0.078 to 0.185) indicating poor agreement between the HCPs' estimations and the patient's health numeracy as measured by the health numeracy assessment. Senior doctors (consultants and registrars) were most likely to correctly estimate patient health numeracy (20.8% and 20.0% of estimates, respectively).

Conclusions: Good health numeracy is vital to effective understanding of risk, shared decision-making and the consenting process. However, HCPs of varying professional backgrounds struggle to correctly estimate their patient's health numeracy and tend to overestimate it. Given that health numeracy is poor for a large proportion of patients, there is a risk that HCPs may fail to identify scenarios in which their patient's poor health numeracy could undermine shared decision-making and/or lead to poor outcomes.

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