背景:全科医生(GP)在整个工作日中做出许多护理决定。长时间的决策会导致决策疲劳,逐渐转向认知上不太费力的决策。这项研究检查了全科医生处方决策中观察到的模式是否与决策疲劳现象一致。我们假设开处方经常过量用药(抗生素,苯二氮卓类药物,阿片类药物;开处方不太费力)会增加,开处方经常不足的药物(他汀类药物,骨质疏松症药物;更费力地开处方)将在工作日减少。
方法:本研究使用了来自澳大利亚的“更好的健康评估和护理”计划中关于全科医生患者遭遇的具有全国代表性的初级保健数据。使用广义线性混合模型评估了医生工作日的处方决策与患者就诊顺序之间的关联,该模型用于对患者进行聚类和调整,提供者,遇到特征。
结果:在2,909名GPs记录的262,456次相遇中,另外15例患者使用抗生素的几率显著增加8.7%(比值比[OR]=1.087;置信区间[CI]=1.059~1.116).另外15例患者使用苯二氮卓类药物的处方几率显着降低了6.3%(OR=0.937;CI=0.893-0.983),他汀类药物为21.9%(OR=0.791;CI=0.753-0.831),骨质疏松症药物为25.0%(OR=0.750;CI=0.690-0.814)。对于阿片类药物没有观察到显著的效果。除了苯二氮卓类药物的作用外,所有发现均在验证性分析中重复。
结论:随着工作日的延长,全科医生开抗生素的可能性越来越大,开他汀类药物和骨质疏松症药物的可能性越来越小,这与决策疲劳是一致的。在阿片类药物或苯二氮卓类药物的处方中,没有令人信服的证据表明决定疲劳的影响。这些发现将决策疲劳确立为优化处方行为的有希望的目标。
结论:我们发现,随着全科医生在工作日的进步,他们更有可能开出据报道处方过量的抗生素,而不太可能开出据报道处方不足的他汀类药物和骨质疏松症药物。这种决策随时间的变化与决策疲劳现象是一致的。当我们做出许多决定而不休息时,就会出现决策疲劳。当我们做出这些决定时,我们逐渐变得更有可能做出不那么困难的决定。这项研究的结果表明,决策疲劳是改善符合指南的药物处方的可能目标。
BACKGROUND: General practitioners (GPs) make numerous care decisions throughout their workdays. Extended periods of decision making can result in decision fatigue, a gradual shift toward decisions that are less cognitively effortful. This study examines whether observed patterns in GPs\' prescribing decisions are consistent with the decision fatigue phenomenon. We hypothesized that the likelihood of prescribing frequently overprescribed medications (antibiotics, benzodiazepines, opioids; less effortful to prescribe) will increase and the likelihood of prescribing frequently underprescribed medications (statins, osteoporosis medications; more effortful to prescribe) will decrease over the workday.
METHODS: This study used nationally representative primary care data on GP-patient encounters from the Bettering the Evaluation and Care of Health program from Australia. The association between prescribing decisions and order of patient encounters over a GP\'s workday was assessed with generalized linear mixed models accounting for clustering and adjusting for patient, provider, and encounter characteristics.
RESULTS: Among 262,456 encounters recorded by 2,909 GPs, the odds of prescribing antibiotics significantly increased by 8.7% with 15 additional patient encounters (odds ratio [OR] = 1.087; confidence interval [CI] = 1.059-1.116). The odds of prescribing decreased significantly with 15 additional patient encounters by 6.3% for benzodiazepines (OR = 0.937; CI = 0.893-0.983), 21.9% for statins (OR = 0.791; CI = 0.753-0.831), and 25.0% for osteoporosis medications (OR = 0.750; CI = 0.690-0.814). No significant effects were observed for opioids. All findings were replicated in confirmatory analyses except the effect of benzodiazepines.
CONCLUSIONS: GPs were increasingly likely to prescribe antibiotics and were less likely to prescribe statins and osteoporosis medications as the workday wore on, which was consistent with decision fatigue. There was no convincing evidence of decision fatigue effects in the prescribing of opioids or benzodiazepines. These findings establish decision fatigue as a promising target for optimizing prescribing behavior.
CONCLUSIONS: We found that as general practitioners progress through their workday, they become more likely to prescribe antibiotics that are reportedly overprescribed and less likely to prescribe statins and osteoporosis medications that are reportedly underprescribed.This change in decision making over time is consistent with the decision fatigue phenomenon. Decision fatigue occurs when we make many decisions without taking a rest break. As we make those decisions, we become gradually more likely to make decisions that are less difficult.The findings of this study show that decision fatigue is a possible target for improving guideline-compliant prescribing of pharmacologic medications.