Decision Making in Acute Stroke Care

Exploring Education Interventions for Stroke Prevention Among Adults and Older Individuals: A Scoping Review

Background and Aims

This investigation aims to conduct a comprehensive review of educational interventions targeting stroke prevention to provide effective preventive measures and optimize resource utilization in adults and the elderly populations.

Methods

A comprehensive literature search was conducted on PubMed, SCOPUS, and Embase for articles published online or in print until February 22, 2022. Inclusion criteria for studies were limited to the studies that examined stroke education or training interventions aimed at improving knowledge among adults aged 30 years and above, with a particular focus on older adults.

Results

A review of 97,848 papers was conducted, resulting in the inclusion of 19 papers. Of these, six were randomized controlled trials (RCTs), six were non-randomized studies, five were campaign studies, one was a cross-sectional study, one was a pilot study, and one was a prospective study. The provided information describes various interventions and educational programs related to stroke awareness, prevention, and management. The intervention subjects were categorized as awareness of warning signs and symptoms of stroke (n = 14), comprehensive awareness campaigns (n = 5), multilevel strategies for stroke education (n = 4), community-based nursing education and rehabilitation program (n = 5), multimedia campaign for 9-1-1 awareness (n = 3), and self-management interventions (n = 1).

Conclusion

The categorized interventions, addressing awareness of warning signs and symptoms, comprehensive awareness campaigns, multilevel strategies, community-based nursing education and rehabilitation programs, multimedia campaigns for 9-1-1 awareness, and self-management interventions, collectively enrich our understanding of the multifaceted approaches to stroke education.

Does clinical experience influence the effects of team simulation training in stroke thrombolysis? A prospective cohort study

OBJECTIVES

After introducing a team simulation training programme at our hospital, we saw a reduction in door-to-needle times (DNT) for stroke thrombolysis but persisting variability prompting further investigation. Our objective is to examine this gap through assessing: (1) whether there is an association between DNT and the clinical experience of neurology registrars and (2) whether experience influences the benefits from attending simulation.

DESIGN

Prospective cohort study.

SETTING AND PARTICIPANTS

Patients treated with intravenous thrombolysis between January 2016 and 2020 at a Norwegian stroke centre.

PRIMARY AND SECONDARY OUTCOME MEASURES

Using DNT and prior intravenous thrombolysis administrations (case-based definition of clinical experience) as continuous variables, a mixed effects linear regression model was performed to examine the association between clinical experience, DNT and simulation attendance. For dichotomised analyses, neurology registrars with 15 or more prior treatments were defined as experienced.

RESULTS

A total of 532 patients treated by 36 neurology registrars from January 2016 to 2020 were included. There was a linear association between clinical experience and DNT (test for non-linearity p=0.479). Each prior intravenous thrombolysis administration was associated with a significant 1.1% decrease in DNT in the adjusted analysis (ΔDNT -1.1%; 95% CI, -2.2% to -0.0%; p=0.048). The interaction between effects of clinical experience and simulation on DNT was not statistically significant (p=0.150). In the dichotomised analysis, experienced registrars had similar gains from attending simulation sessions (mean DNT from 18.5 min to 13.5 min) compared with less experienced registrars (mean DNT from 22.4 min to 17.4 min).

CONCLUSIONS

Less experienced registrars had longer DNT in stroke thrombolysis. Attending team simulation training was associated with similar improvements for experienced and inexperienced neurology registrars. We suggest a focus on high-quality onboarding programmes to close the experience-related quality gap. Our findings suggest that both inexperienced and experienced neurology registrars might benefit from team simulation training for stroke thrombolysis.

Shared Decision-Making to Improve Health-Related Outcomes for Adults with Stroke Disease

Stroke is one of the leading causes of disability and death worldwide, a severe medical condition for which new solutions for prevention, monitoring, and adequate treatment are needed. This paper proposes a SDM framework for the development of innovative and effective solutions based on artificial intelligence in the rehabilitation of stroke patients by empowering patients to make decisions about the use of devices and applications developed in the European project ALAMEDA. To develop a predictive tool for improving disability in stroke patients, key aspects of stroke patient data collection journeys, monitored health parameters, and specific variables covering motor, physical, emotional, cognitive, and sleep status are presented. The proposed SDM model involved the training and consultation of patients, medical staff, carers, and representatives under the name of the Local Community Group. Consultation with LCG members, consists of 11 representative people, physicians, nurses, patients and caregivers, which led to the definition of a methodological framework to investigate the key aspects of monitoring the patient data collection journey for the stroke pilot, and a specific questionnaire to collect stroke patient requirements and preferences. A set of general and specific guidelines specifying the principles by which patients decide to use wearable sensing devices and specific applications resulted from the analysis of the data collected using the questionnaire. The preferences and recommendations collected from LCG members have already been implemented in this stage of ALAMEDA system design and development.

Factors affecting physician decision-making regarding antiplatelet therapy in minor ischemic stroke

Purpose

To identify the most important factors affecting physician decision-making regarding antiplatelet therapy.

Methods

We retrospectively gathered data from minor ischemic stroke patients with NIHSS scores ≤ 5 within 72 h of onset from 2010 to 2018. The population was divided into four groups by initial antiplatelet therapy: aspirin monotherapy (AM), dual antiplatelet therapy with aspirin and a loading dose of clopidogrel (clopidogrel loading dose of 300 mg on the first day; DAPT-ALC), dual antiplatelet therapy with aspirin and no loading dose of clopidogrel (clopidogrel 75 mg daily, no loading dose; DAPT-AUC), and clopidogrel monotherapy (CM).

Results

In total, 1,377 patients were included in the analysis (excluding patients who accepted thrombolytic drugs, participated in other clinical trials, or had not used antiplatelet drugs). The mean ± S.D. age was 62.0 ± 12.7 years; 973 (70.7%) patients were male. The four groups were AM (n = 541, 39.3%), DAPT-ALC (n = 474, 34.4%), DAPT- AUC (n = 301, 21.9%), and CM (n = 61, 4.4%). Patients receiving antiplatelet monotherapy were older than those receiving dual antiplatelet therapy (63.7–65.7 vs. 59.6–61.4 years), and the median initial systolic blood pressure level was higher in the DAPT-ALC group than in the other groups (all P < 0.05). Patients under 75 years old with an admission SBP lower than 180 mmHg, a history of AM, coronary heart disease, no history of intracerebral hemorrhage, stroke onset occurring after guideline recommendations were updated (the year of 2015), onset-to-arrival time within 24 h, and initial NIHSS score ≤ 3 were more likely to take DAPT-ALC than AM. Compared with DAPT-ALC, DAPT-AUC was associated with an initial SBP level lower than 180 mmHg, a history of smoking, hypertension, no history of ICH, previous treatment with antihypertensives, and onset year after the recommendations were updated.

Conclusions

Many factors affect doctors' decisions regarding antiplatelet therapy, especially guidelines, age, admission SBP level, and hypertensive disease.

Systematic Review of Resource Use and Costs in the Hospital Management of Intracerebral Hemorrhage

BACKGROUND

While clinical guidelines provide a framework for hospital management of spontaneous intracerebral hemorrhage (ICH), variation in the resource use and costs of these services exists. We sought to perform a systematic literature review to assess the evidence on hospital resource use and costs associated with management of adult patients with ICH, as well as identify factors that impact variation in such hospital resource use and costs, regarding clinical characteristics and delivery of services.

METHODS

A systematic literature review was performed using PubMed, Cochrane Central Register of Controlled Trials, and Ovid MEDLINE(R) 1946 to present. Articles were assessed against inclusion and exclusion criteria. Study design, ICH sample size, population, setting, objective, hospital characteristics, hospital resource use and cost data, and main study findings were abstracted.

RESULTS

In total, 43 studies met the inclusion criteria. Pertinent clinical characteristics that increased hospital resource use included presence of comorbidities and baseline ICH severity. Aspects of service delivery that greatly impacted hospital resource consumption included intensive care unit length of stay and performance of surgical procedures and intensive care procedures.

CONCLUSIONS

Hospital resource use and costs for patients with ICH were high and differed widely across studies. Making concrete conclusions on hospital resources and costs for ICH care was constrained, given methodologic and patient variation in the studies. Future research should evaluate the long-term cost-effectiveness of ICH treatment interventions and use specific economic evaluation guidelines and common data elements to mitigate study variation.

Evaluation of the association between admission systolic blood pressure and the choice of initial antiplatelet therapy for minor ischemic stroke in real-world

To evaluate whether admission systolic blood pressure (SBP) is associated with the choice of initial antiplatelet therapy for minor stroke. Eligible patients retrospectively gathered from 2010 to 2018. Finally, 1312 of 1494 patients were divided into three groups: aspirin monotherapy (AM, n = 538, 41.0%), dual antiplatelet therapy with aspirin and load-clopidogrel (clopidogrel loading dose of 300 mg on the first day, DAPT-ALC, n = 474, 35.6%), and dual antiplatelet therapy with aspirin and unload-clopidogrel (clopidogrel 75 mg daily with no loading dose, DAPT-AUC, n = 300, 22.9%). The mean ± SD age of final patients was 62.0 ± 12.7 years old; 903 (70.9%) participants were male. Patients in the DAPT-ALC group were more likely to be younger, to arrive earlier, and to have a lower proportion of intracerebral hemorrhage than those in the AM group. DAPT-AUC group patients were more like to have a history of acute myocardial infarction and less likely to have a history of ICH than the AM group (4.7% vs. 1.7% and .3% vs. 2.6%, p < .05). Overall, there was a likely "S-shaped" association between the selection of the DAPT-ALC or DAPT-AUC scheme and admission systolic blood pressure (P for nonlinearity = .012). Compared with the SBP < 140 mmHg group, the SBP ≥ 180 mmHg group was more likely to be given DAPT-AUC (OR = 2.92 [1.62-5.26], p < .001) than DAPT-ALC. Our findings support that admission SBP is associated with the choice of initial antiplatelet, especially when the SBP was greater than or equal to 180 mmHg.

Time-Based Decision Making for Reperfusion in Acute Ischemic Stroke

Decision making in the extended time windows for acute ischemic stroke can be a complex and time-consuming process. The process of making the clinical decision to treat has been compounded by the availability of different imaging modalities. In the setting of acute ischemic stroke, time is of the essence and chances of a good outcome diminish by each passing minute. Navigating the plethora of advanced imaging modalities means that treatment in some cases can be inefficaciously delayed. Time delays and individually based non-programmed decision making can prove challenging for clinicians. Visual aids can assist such decision making aimed at simplifying the use of advanced imaging. Flow charts are one such visual tool that can expedite treatment in this setting. A systematic review of existing literature around imaging modalities based on site of occlusion and time from onset can be used to aid decision making; a more program-based thought process. The use of an acute reperfusion flow chart helping navigate the myriad of imaging modalities can aid the effective treatment of patients.

An intelligent system for improving adherence to guidelines on acute stroke

OBJECTIVES:

A timely, accurate assessment and decision-making process is essential for the diagnosis and treatment of the acute stroke, which is the world's third leading cause of death. This process is often performed using the traditional method that increases the complexity, duration, and medical errors. The present study aimed to design and evaluate an intelligent system for improving adherence to the guidelines on the assessment and treatment of acute stroke patients.

METHODS:

Decision-making rules and data elements were used to predict the severity and to treat patients according to the specialists' opinions and guidelines. A system was then developed based on the intelligent decision-making algorithms. The system was finally evaluated by measuring the accuracy, sensitivity, specificity, applicability, performance, esthetics, information quality, and completeness and rates of medical errors. The segmented regression model was used to evaluate the effect of systems on the level and the trend of guideline adherence for the assessment and treatment of acute stroke.

RESULTS:

Fifty-three data elements were identified and used in the data collection and comprehensive decision-making rules. The rules were organized in a decision tree. In our analysis, 150 patients were included. The system accuracy was 98.30%. Evaluation results indicated an error rate of 1.69% by traditional methods. Documentation quality (completeness) increased from 78.66% to 100%. The average score of system quality was 4.60 indicating an acceptable range. After the system intervention, the mean of the adherence to the guideline significantly increased from 65% to 99.5% (P < 0.0008).

CONCLUSION:

The designed system was accurate and can improve adherence to the guideline for the severity assessment and the determination of a therapeutic trend for acute stroke patients. It leads to physicians' empowerment, significantly reduces medical errors, and improves the documentation quality.

Air vs. Road Decision for Endovascular Clot Retrieval in a Rural Telestroke Network

Background and Purpose: Telestroke aims to increase access to endovascular clot retrieval (ECR) for rural areas. There is limited information on transfer workflow for ECR in rural settings. We sought to describe the transfer metrics for ECR in a rural telestroke network with respect to decision making.

Methods: A retrospective cohort study was employed on consecutive patients transferred to the comprehensive stroke center (CSC) for ECR in a rural hub-and-spoke telestroke network between April 2013 and October 2019, by road or air. Key time-based metrics were analyzed.

Results: Sixty-two patients were included. Mean age was 66 years [standard deviation (SD), 14] and median National Institutes of Health Stroke Scale 13 [interquartile range (IQR), 8–18]. Median rural-hospital-door-to-CSC-door (D2D) was 308 min (IQR, 254–351), of which 68% was spent at rural hospitals [door-in-door-out (DIDO); 214 min; IQR, 171–247]. DIDO was longer for air transfers than road (P = 0.004), primarily because of a median 87 min greater decision-to-departure time (Decision-DO, P < 0.001). In multiple linear regression analysis, intubation but not thrombolysis was associated with significantly longer DIDO. The distance at which the extra speed of an aircraft made up for the delays involved in booking an aircraft was 299 km from the CSC.

Conclusions: DIDO is longer for air retrievals compared with road. Decision-DO represents the most important component of DIDO, being longer for air transfers. Systems for rapid transportation of rural ECR candidates need optimization for best patient outcomes, with decision support seen as a potential tool to achieve this.

Development and Validation of a Prognostic Tool for Direct Enteral Tube Insertion After Acute Stroke

Background and Purpose- We aimed to create a novel prognostic risk score to estimate outcomes after direct enteral tube placement in acute stroke. Methods- We used the Ontario Stroke Registry and linked databases to obtain clinical information on all patients with direct enteral tube insertion after ischemic stroke or intracerebral hemorrhage from July 1, 2003 to June 30, 2010 (derivation cohort) and July 1, 2010 to March 31, 2013 (validation cohort). We used multivariable regression to assign scores to predictor variables for 3 outcomes after tube placement: favorable outcome (discharge modified Rankin Scale score 0-3 and alive at 90 days), poor outcome (discharge modified Rankin Scale score 5 or death at 90 days), and 30-day mortality. Results- Variables associated with a favorable outcome were younger age, preadmission independence, ischemic stroke rather than intracerebral hemorrhage, lower stroke severity, and a shorter time between stroke and tube placement. Variables associated with a poor outcome were older age, preadmission dependence, atrial fibrillation, greater stroke severity, and tracheostomy. Age, preadmission dependence, atrial fibrillation, cancer, chronic obstructive pulmonary disease, and shorter time to tube placement were associated with increased 30-day mortality. Using these variables, we created an online calculator to facilitate estimation of individual patient risk of favorable and poor outcomes. C-statistic in the validation cohort was 0.82 for favorable outcome, 0.65 for poor outcome, and 0.62 for 30-day mortality, and calibration was adequate. Conclusions- We developed risk scores to estimate outcomes after direct enteral tube insertion for acute dysphagic stroke. This information may be useful in discussions with patients and families when there is prognostic uncertainty surrounding outcomes with direct enteral tube placement after stroke.

Variability in the decision-making process of acute ischemic stroke in difficult clinical and radiological constellations: analysis based on a cross-sectional interview-administered stroke questionnaire

BACKGROUND AND PURPOSE

Notwithstanding guidelines, indications for mechanical thrombectomy (MT) in acute ischemic stroke are multifactorial and can be complex. Our aim was to exploratively evaluate decision-making on the advisability of performing MT in cases presented as an interview-administered questionnaire.

METHODS

Fifty international raters assessed 12 cases and decided to recommend or exclude MT. Each case contained a brief summary of clinical information and eight representative images of the initial multimodal CT. The demographic characteristics and stroke protocols were recorded for raters. For each case, the reasons for excluding MT were recorded. Uni- and multivariate logistic regression analysis were performed for the different demographic and case characteristics to identify factors that might influence decision-making.

RESULTS

All raters performed MT (median MTs/hospital/year [IQR], 100 [50-141]) with a median of 7 years of experience as first operator (IQR, 4-12). Per case, diversity in decision-making ranged between 1 (case 6, 100% yes MT) and 0.50 (case 12, 54.2% yes MT and 45.8% no MT). The most common reasons for excluding MT were small CBV/CBF mismatch (17%, 102/600), size of infarct core on the CBV map (15.2%, 91/600), and low NIHSS score (National Institute of Health Stroke Scale, 8.3%, 50/600). All clinical and radiological characteristics significantly affected the decision regarding MT, but the general characteristics of the raters were not a factor.

CONCLUSIONS

Clinical and imaging characteristics influenced the decision regarding MT in stroke. Nevertheless, a consensus was reached in only a minority of cases, revealing the current divergence of opinion regarding therapeutic decisions in difficult cases.

KEY POINTS

• This is the first study to explore differences in decision-making in respect of mechanical thrombectomy in ischemic stroke with complex clinical and radiological constellations. • Fifty experienced international neurointerventionalists answered this interview-administered stroke questionnaire and made decisions as to whether to recommend or disadvise thrombectomy in 12 selected cases. • Diversity in decision-making for thrombectomy ranged from 1 (100% of raters offered the same answer) to 0.5 (50% indicated mechanical thrombectomy). There was a consensus in only a minority of cases, revealing the current disparity of opinion regarding therapeutic decisions in difficult cases.

Predicting Disability after Ischemic Stroke Based on Comorbidity Index and Stroke Severity-From the Virtual International Stroke Trials Archive-Acute Collaboration

Background and aim

The availability and access of hospital administrative data [coding for Charlson comorbidity index (CCI)] in large data form has resulted in a surge of interest in using this information to predict mortality from stroke. The aims of this study were to determine the minimum clinical data set to be included in models for predicting disability after ischemic stroke adjusting for CCI and clinical variables and to evaluate the impact of CCI on prediction of outcome.

Method

We leverage anonymized clinical trial data in the Virtual International Stroke Trials Archive. This repository contains prospective data on stroke severity and outcome. The inclusion criteria were patients with available stroke severity score such as National Institutes of Health Stroke Scale (NIHSS), imaging data, and outcome disability score such as 90-day Rankin Scale. We calculate CCI based on comorbidity data in this data set. For logistic regression, we used these calibration statistics: Nagelkerke generalised R² and Brier score; and for discrimination we used: area under the receiver operating characteristics curve (AUC) and integrated discrimination improvement (IDI). The IDI was used to evaluate improvement in disability prediction above baseline model containing age, sex, and CCI.

Results

The clinical data among 5,206 patients (55% males) were as follows: mean age 69 ± 13 years, CCI 4.2 ± 0.8, and median NIHSS of 12 (IQR 8, 17) on admission and 9 (IQR 5, 15) at 24 h. In Model 2, adding admission NIHSS to the baseline model improved AUC from 0.67 (95% CI 0.65–0.68) to 0.79 (95% CI 0.78–0.81). In Model 3, adding 24-h NIHSS to the baseline model resulted in substantial improvement in AUC to 0.90 (95% CI 0.89–0.91) and increased IDI by 0.23 (95% CI 0.22–0.24). Adding the variable recombinant tissue plasminogen activator did not result in a further change in AUC or IDI to this regression model. In Model 3, the variable NIHSS at 24 h explains 87.3% of the variance of Model 3, follow by age (8.5%), comorbidity (3.7%), and male sex (0.5%).

Conclusion

Our results suggest that prediction of disability after ischemic stroke should at least include 24-h NIHSS and age. The variable CCI is less important for prediction of disability in this data set.

Decision-making in Multiple Sclerosis: The Role of Aversion to Ambiguity for Therapeutic Inertia among Neurologists (DIScUTIR MS)

Objectives

Limited information is available on physician-related factors influencing therapeutic inertia (TI) in multiple sclerosis (MS). Our aim was to evaluate whether physicians’ risk preferences are associated with TI in MS care, by applying concepts from behavioral economics.

Design

In this cross-sectional study, participants answered questions regarding the management of 20 MS case scenarios, completed 3 surveys, and 4 experimental paradigms based on behavioral economics. Surveys and experiments included standardized measures of aversion ambiguity in financial and health domains, physicians’ reactions to uncertainty in patient care, and questions related to risk preferences in different domains. The primary outcome was TI when physicians faced a need for escalating therapy based on clinical (new relapse) and magnetic resonance imaging activity while patients were on a disease-modifying agent.

Results

Of 161 neurologists who were invited to participate in the project, 136 cooperated with the study (cooperation rate 84.5%) and 96 completed the survey (response rate: 60%). TI was present in 68.8% of participants. Similar results were observed for definitions of TI based on modified Rio or clinical progression. Aversion to ambiguity was associated with higher prevalence of TI (86.4% with high aversion to ambiguity vs. 63.5% with lower or no aversion to ambiguity; p = 0.042). In multivariate analyses, high aversion to ambiguity was the strongest predictor of TI (OR 7.39; 95%CI 1.40–38.9), followed by low tolerance to uncertainty (OR 3.47; 95%CI 1.18–10.2).

Conclusion

TI is a common phenomenon affecting nearly 7 out of 10 physicians caring for MS patients. Higher prevalence of TI was associated with physician’s strong aversion to ambiguity and low tolerance of uncertainty.

Aversion to ambiguity and willingness to take risks affect therapeutic decisions in managing atrial fibrillation for stroke prevention: results of a pilot study in family physicians

BACKGROUND

Anticoagulation is the therapeutic paradigm for stroke prevention in patients with atrial fibrillation (AF). It is unknown how physicians make treatment decisions in primary stroke prevention for patients with AF.

OBJECTIVES

To evaluate the association between family physicians' risk preferences (aversion risk and ambiguity) and therapeutic recommendations (anticoagulation) in the management of AF for primary stroke prevention by applying concepts from behavioral economics.

METHODS

Overall, 73 family physicians participated and completed the study. Our study comprised seven simulated case vignettes, three behavioral experiments, and two validated surveys. Behavioral experiments and surveys incorporated an economic framework to determine risk preferences and biases (e.g., ambiguity aversion, willingness to take risks). The primary outcome was making the correct decision of anticoagulation therapy. Secondary outcomes included medical errors in the management of AF for stroke prevention.

RESULTS

Overall, 23.3% (17/73) of the family physicians elected not to escalate the therapy from antiplatelets to anticoagulation when recommended by best practice guidelines. A total of 67.1% of physicians selected the correct therapeutic options in two or more of the three simulated case vignettes. Multivariate analysis showed that aversion to ambiguity was associated with appropriate change to anticoagulation therapy in the management of AF (OR 5.48, 95% CI 1.08-27.85). Physicians' willingness to take individual risk in multiple domains was associated with lower errors (OR 0.16, 95% CI 0.03-0.86).

CONCLUSION

Physicians' aversion to ambiguity and willingness to take risks are associated with appropriate therapeutic decisions in the management of AF for primary stroke prevention. Further large scale studies are needed.

Visual aid tool to improve decision making in acute stroke care

Background

Acute stroke care represents a challenge for decision makers. Recent randomized trials showed the benefits of endovascular therapy. Our goal was to provide a visual aid tool to guide clinicians in the decision process of endovascular intervention in patients with acute ischemic stroke.

Methods

We created visual plots (Cates’ plots; www.nntonline.net ) representing benefits of standard of care vs. endovascular thrombectomy from the pooled analysis of five RCTs using stent retrievers. These plots represent the following clinically relevant outcomes (1) functionally independent state (modified Rankin scale (mRS) 0 to 2 at 90 days) (2) excellent recovery (mRS 0–1) at 90 days, (3) NIHSS 0–2 (4) early neurological recovery, and (5) revascularization at 24 h. Subgroups visually represented include time to treatment and baseline stroke severity strata.

Results

Overall, 1287 patients (634 assigned to endovascular thrombectomy, 653 assigned to control were included to create the visual plots. Cates’ visual plots revealed that for every 100 patients with acute ischemic stroke and large vessel occlusion, 27 would achieve independence at 90 days (mRS 0–2) in the control group compared to 49 (95% CI 43–56) in the intervention group. Similarly, 21 patients would achieve early neurological recovery at 24 h compared to 54 (95% CI 45–63) out of 100 for the intervention group.

Conclusion

Cates’ plots may assist clinicians and patients to visualize and compare potential outcomes after an acute ischemic stroke. Our results suggest that for every 100 treated individuals with an acute ischemic stroke and a large vessel occlusion, endovascular thrombectomy would provide 22 additional patients reaching independency at three months and 33 more patients achieving ENR compared to controls.

How Patient Demographics, Imaging, and Beliefs Influence Tissue-Type Plasminogen Activator Use: A Survey of North American Neurologists

BACKGROUND AND PURPOSE

Understanding physician decision making is increasingly recognized as an important topic of study, especially in stroke care. We sought to characterize the process of acute stroke decision making among neurologists in the United States and Canada from clinical and epistemological perspectives.

METHODS

Using a factorial design online survey, respondents were presented with clinical data to mimic an acute stroke encounter. The history, examination, computed tomographic (CT) scan, CT angiogram, and CT perfusion were presented in sequence, and respondents rated their diagnostic confidence and likelihood of treatment with tissue-type plasminogen activator after each element. Patient age, race, sex, and CT perfusion imaging results were randomized, whereas the rest of the clinical presentation was held constant.

RESULTS

We collected 715 responses, of which 473 (66%) were complete. Diagnostic certainty and likelihood of treatment with tissue-type plasminogen activator rose incrementally as additional clinical data were provided. Diagnostic certainty and treatment likelihood were strongly influenced by the clinical history and the CT scan. Other factors such as physicians' personal beliefs or biases were not influential. Respondents' accuracy in interpreting CT angiographic and CT perfusion images was variable and generally low.

CONCLUSIONS

Diagnostic certainty and likelihood of treatment with tissue-type plasminogen activator increase with additional clinical data, with the history being the most important factor for diagnostic and treatment decisions. Respondents had difficulty in interpreting the results of CT perfusion scans although they had little impact on treatment decisions. We did not identify treatment bias based on patient age, race, or sex.

Decision making under uncertainty, therapeutic inertia, and physicians' risk preferences in the management of multiple sclerosis (DIScUTIR MS)

BACKGROUND

The management of multiple sclerosis (MS) is rapidly changing by the introduction of new and more effective disease-modifying agents. The importance of risk stratification was confirmed by results on disease progression predicted by different risk score systems. Despite these advances, we know very little about medical decisions under uncertainty in the management of MS. The goal of this study is to i) identify whether overconfidence, tolerance to risk/uncertainty, herding influence medical decisions, and ii) to evaluate the frequency of therapeutic inertia (defined as lack of treatment initiation or intensification in patients not at goals of care) and its predisposing factors in the management of MS.

METHODS/DESIGN

This is a prospective study comprising a combination of case-vignettes and surveys and experiments from Neuroeconomics/behavioral economics to identify cognitive distortions associated with medical decisions and therapeutic inertia. Participants include MS fellows and MS experts from across Spain. Each participant will receive an individual link using Qualtrics platform(©) that includes 20 case-vignettes, 3 surveys, and 4 behavioral experiments. The total time for completing the study is approximately 30-35 min. Case vignettes were selected to be representative of common clinical encounters in MS practice. Surveys and experiments include standardized test to measure overconfidence, aversion to risk and ambiguity, herding (following colleague's suggestions even when not supported by the evidence), physicians' reactions to uncertainty, and questions from the Socio-Economic Panel Study (SOEP) related to risk preferences in different domains. By applying three different MS score criteria (modified Rio, EMA, Prosperini's scheme) we take into account physicians' differences in escalating therapy when evaluating medical decisions across case-vignettes.

CONCLUSIONS

The present study applies an innovative approach by combining tools to assess medical decisions with experiments from Neuroeconomics that applies to common scenarios in MS care. Our results will help advance the field by providing a better understanding on the influence of cognitive factors (e.g., overconfidence, aversion to risk and uncertainty, herding) on medical decisions and therapeutic inertia in the management of MS which could lead to better outcomes.

Applying principles from the game theory to acute stroke care: Learning from the prisoner's dilemma, stag-hunt, and other strategies

BACKGROUND

Acute stroke care represents a challenge for decision makers. Decisions based on erroneous assessments may generate false expectations of patients and their family members, and potentially inappropriate medical advice. Game theory is the analysis of interactions between individuals to study how conflict and cooperation affect our decisions.

AIMS

We reviewed principles of game theory that could be applied to medical decisions under uncertainty.

SUMMARY

Medical decisions in acute stroke care are usually made under constrains: short period of time, with imperfect clinical information, limit understanding about patients and families' values and beliefs. Game theory brings some strategies to help us manage complex medical situations under uncertainty. For example, it offers a different perspective by encouraging the consideration of different alternatives through the understanding of patients' preferences and the careful evaluation of cognitive distortions when applying 'real-world' data. The stag-hunt game teaches us the importance of trust to strength cooperation for a successful patient-physician interaction that is beyond a good or poor clinical outcome.

CONCLUSIONS

The application of game theory to stroke care may improve our understanding of complex medical situations and help clinicians make practical decisions under uncertainty.