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Capsule commentaries.胶囊评论
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本文引用的文献

1
Quality measurement of medication monitoring in the "meaningful use" era.在“有意义的使用”时代衡量药物监测的质量。
Am J Manag Care. 2011 Sep;17(9):633-7.
2
The impact of eHealth on the quality and safety of health care: a systematic overview.电子健康对医疗保健质量和安全的影响:系统综述。
PLoS Med. 2011 Jan 18;8(1):e1000387. doi: 10.1371/journal.pmed.1000387.
3
Impact of health information technology interventions to improve medication laboratory monitoring for ambulatory patients: a systematic review.健康信息技术干预措施对改善门诊患者药物实验室监测的影响:系统评价。
J Am Med Inform Assoc. 2010 Nov-Dec;17(6):631-6. doi: 10.1136/jamia.2009.000794.
4
Development and pilot testing of guidelines to monitor high-risk medications in the ambulatory setting.制定并初步测试监测门诊环境下高危药物的指南。
Am J Manag Care. 2010 Jul;16(7):489-96.
5
Comparison of different comorbidity measures for use with administrative data in predicting short- and long-term mortality.比较不同的合并症衡量标准,用于预测短期和长期死亡率的行政数据。
BMC Health Serv Res. 2010 May 27;10:140. doi: 10.1186/1472-6963-10-140.
6
Black box warning contraindicated comedications: concordance among three major drug interaction screening programs.黑框警告禁忌合并用药:三种主要药物相互作用筛选程序的一致性。
Ann Pharmacother. 2010 Jan;44(1):28-34. doi: 10.1345/aph.1M475. Epub 2009 Dec 29.
7
Impact of non-interruptive medication laboratory monitoring alerts in ambulatory care.门诊护理中无干扰药物实验室监测警报的影响
J Am Med Inform Assoc. 2009 Jan-Feb;16(1):66-71. doi: 10.1197/jamia.M2687. Epub 2008 Oct 24.
8
A randomized trial of electronic clinical reminders to improve medication laboratory monitoring.一项关于电子临床提醒以改善药物实验室监测的随机试验。
J Am Med Inform Assoc. 2008 Jul-Aug;15(4):424-9. doi: 10.1197/jamia.M2602. Epub 2008 Apr 24.
9
Comparison of drug adherence rates among patients with seven different medical conditions.七种不同疾病患者的药物依从率比较。
Pharmacotherapy. 2008 Apr;28(4):437-43. doi: 10.1592/phco.28.4.437.
10
Operationalizing MTM through the use of health information technology.通过使用健康信息技术将药物治疗管理付诸实践。
J Manag Care Pharm. 2008 Mar;14(2 Suppl):S18-21.

患者完成实验室检测以监测药物治疗:一项混合方法研究。

Patient completion of laboratory tests to monitor medication therapy: a mixed-methods study.

机构信息

Beth Israel Deaconess Medical Center, Division of Clinical Informatics, 1330 Beacon St., Suite 400, Brookline, MA 02446, USA.

出版信息

J Gen Intern Med. 2013 Apr;28(4):513-21. doi: 10.1007/s11606-012-2271-6. Epub 2012 Nov 15.

DOI:10.1007/s11606-012-2271-6
PMID:23229907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3599033/
Abstract

BACKGROUND

Little is known about the contribution of patient behavior to incomplete laboratory monitoring, and the reasons for patient non-completion of ordered laboratory tests remain unclear.

OBJECTIVE

To describe factors, including patient-reported reasons, associated with non-completion of ordered laboratory tests.

DESIGN

Mixed-Methods study including a quantitative assessment of the frequency of patient completion of ordered monitoring tests combined with qualitative, semi-structured, patient interviews.

PARTICIPANTS

Quantitative assessment included patients 18 years or older from a large multispecialty group practice, who were prescribed a medication requiring monitoring. Qualitative interviews included a subset of show and no-show patients prescribed a cardiovascular, anticonvulsant, or thyroid replacement medication.

MAIN MEASURES

Proportion of recommended monitoring tests for each medication not completed, factors associated with patient non-completion, and patient-reported reasons for non-completion.

KEY RESULTS

Of 27,802 patients who were prescribed one of 34 medications, patient non-completion of ordered tests varied (range: 0-24 %, by drug-test pair). Factors associated with higher odds of test non-completion included: younger patient age (< 40 years vs. ≥ 80 years, adjusted odds ratio [AOR] 1.52, 95 % confidence interval [95 % CI] 1.27-1.83); lower medication burden (one medication vs. more than one drug, AOR for non-completion 1.26, 95 % CI 1.15-1.37), and lower visit frequency (0-5 visits/year vs. ≥ 19 visits/year, AOR 1.41, 95 % CI 1.25 to 1.59). Drug-test pairs with black box warning status were associated with greater odds of non-completion, compared to drugs without a black box warning or other guideline for testing (AOR 1.91, 95 % CI 1.66-2.19). Qualitative interviews, with 16 no-show and seven show patients, identified forgetting as the main cause of non-completion of ordered tests.

CONCLUSIONS

Patient non-completion contributed to missed opportunities to monitor medications, and was associated with younger patient age, lower medication burden and black box warning status. Interventions to improve laboratory monitoring should target patients as well as physicians.

摘要

背景

关于患者行为对实验室监测不完整的影响,以及患者未完成医嘱实验室检查的原因尚不清楚。

目的

描述与未完成医嘱实验室检查相关的因素,包括患者报告的原因。

设计

包括定量评估患者完成医嘱监测检查的频率,以及定性、半结构化、患者访谈的混合方法研究。

参与者

定量评估纳入了一家大型多专科实践的 18 岁及以上患者,这些患者被开具了需要监测的药物。定性访谈包括开具心血管、抗惊厥或甲状腺替代药物的有或无预约患者的一个亚组。

主要措施

每种药物的推荐监测试验中未完成的比例、与患者未完成相关的因素以及患者未完成的原因。

主要结果

在 27802 名被开具 34 种药物之一的患者中,医嘱实验室检查的未完成率存在差异(范围:0-24%,按药物-检查对)。与检查未完成的可能性更高相关的因素包括:更年轻的患者年龄(<40 岁与≥80 岁相比,调整后的优势比 [OR] 1.52,95%置信区间 [95%CI] 1.27-1.83);较低的药物负担(一种药物与多种药物相比,未完成的 OR 为 1.26,95%CI 为 1.15-1.37),以及较低的就诊频率(0-5 次就诊/年与≥19 次就诊/年相比,OR 为 1.41,95%CI 为 1.25-1.59)。与无黑框警告或其他检查指南的药物相比,具有黑框警告状态的药物-检查对与更高的未完成率相关(OR 1.91,95%CI 1.66-2.19)。对 16 名失约患者和 7 名如约患者的定性访谈发现,忘记是未完成医嘱实验室检查的主要原因。

结论

患者未完成检查导致监测药物的机会丧失,与患者年龄较小、药物负担较低和黑框警告状态有关。改善实验室监测的干预措施应针对患者和医生。