Literature DB >> 27283284

Decision-Making Support Using a Standardized Script and Visual Decision Aid to Reduce Door-to-Needle Time in Stroke.

Hye-Yeon Choi1,2, Eun Hye Kim1, Joonsang Yoo1, Kijeong Lee1,3, Dongbeom Song1, Young Dae Kim1, Han-Jin Cho1,4, Hyo Suk Nam1, Kyung Yul Lee1, Hye Sun Lee5, Ji Hoe Heo1.   

Abstract

Entities:  

Year:  2016        PMID: 27283284      PMCID: PMC4901956          DOI: 10.5853/jos.2016.00374

Source DB:  PubMed          Journal:  J Stroke        ISSN: 2287-6391            Impact factor:   6.967


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Dear Sir: Shortening the interval between hospital arrival and thrombolytic treatment is critical to improve the efficacy of the treatment because of its time-sensitive effect [1]. Decision-making by patients or their families is an essential step during the process of thrombolytic treatment. In an emergency situation, decision-making by patients or their families relies mostly on the physician’s explanation concerning the benefits and risks of thrombolytic treatment. In this regard, a physician’s concise, standardized, and easily understandable explanation of the thrombolytic treatment is important for the process of decision-making and for obtaining informed consent from patients or their family. We investigated how a protocol using decision-making support (DMS) for patients and their families could reduce door-to-needle time in acute stroke. We have previously shown that quality improvement activity using a computerized physician order entry could reduce time from hospital arrival to evaluations and intravenous (IV) tissue plasminogen activator (tPA) [2-4]. While performing continuous quality improvement activity to further improve the process, we have found that the most common reason of treatment delay was waiting informed consent [5]. Therefore, we developed a protocol for DMS using standardized scrip and visual decision aid. The standardized script was developed for physicians who are responsible for providing explanations regarding thrombolysis treatment and then obtaining informed consent from patients or their families. The visual decision aid (http://stroke.ucla.edu/workfiles/VDA-for-TPA.pdf) was used by physicians to help explain the benefits and risks of IV tPA treatment to candidates for this treatment. This protocol was implemented from January 2010. All consecutive patients who visited the emergency department and were treated with IV tPA within the 3-hour time window were included in this study. The effect of DMS was investigated by comparing the door-to-needle time before (the pre-DMS group, January 2007–December 2009) and after (post-DMS group, January 2010–December 2012) the implementation of the DMS protocol. Demographic factors and time intervals were compared using the Mann–Whitney U test and the chi-square test. The possible reasons for delay were identified if the door-to-needle time was longer than 40 minutes. To determine factors associated with a door-to-needle time >40 minutes, multivariable logistic regression analysis was performed. Age, sex, and variables with P<0.1 in the univariable analyses were entered for multivariable analysis. Statistical significance was set at P<0.05. SPSS for Windows (version 17.0, SPSS Inc., Chicago, IL, USA) was used for statistical analysis. Total of 2,172 and 2,078 patients with cerebral infarction were admitted to the neurology department during the 3-year pre-DMS and 3-year post-DMS periods, respectively. Of them, 229 patients who were treated with IV tPA (the pre-DMS group 111 [5.1%], the post-DMS group 118 [5.7%], P=0.412) were included in this study. When comparing with the pre-DMS group, the post-DMS group more frequently had diabetes mellitus (36.4% vs. 21.6%, P=0.014) and less frequently had a history of previous cerebral infarction (9.3% vs. 18.9%, P=0.036). Baseline National Institute of Health Stroke Scale score was lower in the post-DMS group (median [interquartile range]: 13 [8-17] vs. 15 [9-20], P=0.013). Other demographic characteristics were not different between the groups. The median door-to-needle time was significantly reduced after the implementation of the DMS protocol (from 46 minutes [interquartile range 38-58] to 40 minutes [interquartile range 34-47], P=0.001). The proportion of patients who received IV tPA treatment within 40 minutes was greater in the post-DMS group (64/118 [54.2%]) than in the preDMS group (40/111 [36.0%], P=0.006). The reduction of door-to-needle time was observed soon after the implementation of the DMS protocol and was sustained for the 3-year follow-up period (Figure 1). Multivariate analysis showed that the implementation of the DMS protocol was independently associated with a door-to-needle time ≤40 minutes (adjusted odds ratio 2.13, 95% confidence interval 1.23-3.67). In the pre-DMS group, waiting for informed consent due to the indecision of family members was the most common reason for delay (23/71, 32.4%). After the implementation of DMS protocol, the delay due to waiting for informed consent was substantially reduced (8/54 [14.8%], P=0.024).
Figure 1.

Door-to-needle time for intravenous tissue-type plasminogen activator before and after implementation of decision making support protocol. Door-to-needle time was reduced soon after the implementation of the decision-making support (DMS) protocol and maintained for the 3-year follow-up period.

In this study, we demonstrated that door-to-needle time was significantly reduced in the post-DMS group that used a standardized script and visual decision aid for tPA treatment. Although many quality improvement initiatives and programs have been implemented to reduce any delay in reperfusion therapy in stroke [3-9], there has been little concern regarding the decisionmaking process of patients or their family. We interviewed neurology residents who were primarily responsible for obtaining informed consent. We recognized that the explanations on the benefits and risks of IV tPA differed among residents, and might also be biased. Therefore, we provided standardized scripts containing key messages to explain. This script was helpful for standardizing the explanations, preventing potential bias, and shortening the time taken for providing the explanation and obtaining informed consent. We also used a visual decision aid that shows how many patients benefitted or experienced adverse consequences when they are treated with IV tPA within 3 hours after symptom onset. Patients and their family often have difficulties in understanding medical terms and the benefits and risks of reperfusion treatment despite the physician’s explanations. The visual decision aid showing the benefits and risks of tPA treatment as a simple cartoon was helpful for our study population. Recent pooled analysis revealed that decision aids significantly improved people’s knowledge regarding options, and reduced their decisional conflict [10], which supports our findings. To reduce delay in thrombolysis treatment, efforts to improve the process should be multi-directional. Although the 6-minute reduction of door-to-needle time, by improving the patient’s or family’s decision-making, may not seem great, it was achieved by using a simple protocol that could be easily implemented in any hospital setting. In addition, the effect of the standardized script and visual decision aid seems to be immediate and sustainable. Therefore, more widespread implementation of this approach is warranted because it is simple and can be easily implemented.
  10 in total

1.  Time to treatment with intravenous alteplase and outcome in stroke: an updated pooled analysis of ECASS, ATLANTIS, NINDS, and EPITHET trials.

Authors:  Kennedy R Lees; Erich Bluhmki; Rüdiger von Kummer; Thomas G Brott; Danilo Toni; James C Grotta; Gregory W Albers; Markku Kaste; John R Marler; Scott A Hamilton; Barbara C Tilley; Stephen M Davis; Geoffrey A Donnan; Werner Hacke; Kathryn Allen; Jochen Mau; Dieter Meier; Gregory del Zoppo; D A De Silva; K S Butcher; M W Parsons; P A Barber; C Levi; C Bladin; G Byrnes
Journal:  Lancet       Date:  2010-05-15       Impact factor: 79.321

2.  Improved time intervals by implementation of computerized physician order entry-based stroke team approach.

Authors:  Hyo Suk Nam; Sang Won Han; Seong Hwan Ahn; Jong Yun Lee; Hye-Yeon Choi; In Cheol Park; Ji Hoe Heo
Journal:  Cerebrovasc Dis       Date:  2006-12-29       Impact factor: 2.762

3.  Waiting for platelet counts causes unsubstantiated delay of thrombolysis therapy.

Authors:  L Breuer; H B Huttner; I C Kiphuth; J Ringwald; M J Hilz; S Schwab; M Köhrmann
Journal:  Eur Neurol       Date:  2013-03-14       Impact factor: 1.710

4.  A computerized in-hospital alert system for thrombolysis in acute stroke.

Authors:  Ji Hoe Heo; Young Dae Kim; Hyo Suk Nam; Keun-Sik Hong; Seong Hwan Ahn; Hyun Ji Cho; Hye-Yeon Choi; Sang Won Han; Myoung-Jin Cha; Ji Man Hong; Gyeong-Moon Kim; Gyu Sik Kim; Hye Jin Kim; Seo Hyun Kim; Yong-Jae Kim; Sun Uck Kwon; Byung-Chul Lee; Jun Hong Lee; Kwang Ho Lee; Mi Sun Oh
Journal:  Stroke       Date:  2010-07-22       Impact factor: 7.914

5.  Improvement of door-to-imaging time in acute stroke patients by implementation of an all-points alarm.

Authors:  Christian H Nolte; Uwe Malzahn; York Kühnle; Christoph J Ploner; Jacqueline Müller-Nordhorn; Martin Möckel
Journal:  J Stroke Cerebrovasc Dis       Date:  2011-09-08       Impact factor: 2.136

6.  Simple text-messaging intervention is associated with improved door-to-needle times for acute ischemic stroke.

Authors:  Molly M Burnett; Lara Zimmermann; Zlatan Coralic; Tina Quon; William Whetstone; Anthony S Kim
Journal:  Stroke       Date:  2014-10-28       Impact factor: 7.914

Review 7.  Decision aids for people facing health treatment or screening decisions.

Authors:  Dawn Stacey; France Légaré; Nananda F Col; Carol L Bennett; Michael J Barry; Karen B Eden; Margaret Holmes-Rovner; Hilary Llewellyn-Thomas; Anne Lyddiatt; Richard Thomson; Lyndal Trevena; Julie H C Wu
Journal:  Cochrane Database Syst Rev       Date:  2014-01-28

8.  A multilevel intervention to increase community hospital use of alteplase for acute stroke (INSTINCT): a cluster-randomised controlled trial.

Authors:  Phillip A Scott; William J Meurer; Shirley M Frederiksen; John D Kalbfleisch; Zhenzhen Xu; Mary N Haan; Robert Silbergleit; Lewis B Morgenstern
Journal:  Lancet Neurol       Date:  2012-12-21       Impact factor: 44.182

Review 9.  Facilitating Stroke Management using Modern Information Technology.

Authors:  Hyo Suk Nam; Eunjeong Park; Ji Hoe Heo
Journal:  J Stroke       Date:  2013-09-27       Impact factor: 6.967

10.  Process improvement to enhance existing stroke team activity toward more timely thrombolytic treatment.

Authors:  Han-Jin Cho; Kyung Yul Lee; Hyo Suk Nam; Young Dae Kim; Tae-Jin Song; Yo Han Jung; Hye-Yeon Choi; Ji Hoe Heo
Journal:  J Clin Neurol       Date:  2014-10-06       Impact factor: 3.077

  10 in total
  5 in total

1.  Thrombolytic Refusal Over Telestroke.

Authors:  Alicia Zha; Adriana Rosero; Rene Malazarte; Shima Bozorgui; Christy Ankrom; Liang Zhu; Michele Joseph; Alyssa Trevino; Tiffany D Cossey; Sean Savitz; Tzu Ching Wu; Amanda Jagolino-Cole
Journal:  Neurol Clin Pract       Date:  2021-06

2.  Thrombolysis in stroke patients: Comparability of point-of-care versus central laboratory international normalized ratio.

Authors:  Ramona C Dolscheid-Pommerich; Sarah Dolscheid; Lars Eichhorn; Birgit Stoffel-Wagner; Ingo Graeff
Journal:  PLoS One       Date:  2018-01-10       Impact factor: 3.240

3.  Generalization of the right acute stroke promotive strategies in reducing delays of intravenous thrombolysis for acute ischemic stroke: A meta-analysis.

Authors:  Qiang Huang; Jing-Ze Zhang; Wen-Deng Xu; Jian Wu
Journal:  Medicine (Baltimore)       Date:  2018-06       Impact factor: 1.889

4.  ACT-FAST: a quality improvement project to increase the percentage of acute stroke patients receiving intravenous thrombolysis within 60 minutes of arrival at the emergency department.

Authors:  Li Qi Chiu; Daniel Yong Jing Quek; Roslin Binte Salihan; Wai May Ng; Rozana Binte Othman; Chiao-Hao Lee; Daniel Chia Theng Oh
Journal:  Singapore Med J       Date:  2020-03-31       Impact factor: 3.331

Review 5.  Effectiveness of interventions to improve rates of intravenous thrombolysis using behaviour change wheel functions: a systematic review and meta-analysis.

Authors:  Md Golam Hasnain; John R Attia; Shahinoor Akter; Tabassum Rahman; Alix Hall; Isobel J Hubbard; Christopher R Levi; Christine L Paul
Journal:  Implement Sci       Date:  2020-11-04       Impact factor: 7.327

  5 in total

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