A Smartphone-based Decision Support Tool Improves Test Performance Concerning Application of the Guidelines for Managing Regional Anesthesia in the Patient Receiving Antithrombotic or Thrombolytic Therapy

A Prospective Randomized Controlled Pilot Simulation Study to Investigate the Effect of Audiovisual Decision Support on Diagnosis and Therapeutic Interventions

INTRODUCTION

Combining audiovisual decision support during perioperative critical events might enhance provider diagnostic and therapeutic accuracy and efficiency.

METHODS

This study is a prospective, randomized controlled pilot trial studying the impact of audiovisual decision support on anesthesia professional performance at NorthShore University HealthSystem's high fidelity simulation center. Twenty anesthesia professionals (>2 years of clinical experience in the current role) were randomized to 2 groups (current care model vs. audiovisual assistance) and underwent 3 periprocedural simulation scenarios, where patient deterioration occurs: anaphylaxis, amniotic fluid embolism, and cardiac arrest during dental case.

RESULTS

Overall, there was a statistically significant decrease in the mean and median pooled times to diagnosis in both the amniotic fluid embolism and pediatric dental scenarios. There was a statistically significant increase in the number of participants in the intervention group who made diagnosis 3 before the end of the scene ( P = 0.03) in the amniotic fluid embolism case. In the pediatric dental case, there was a statistically significant reduction in the median time to diagnosis 1 and diagnosis 3 in the intervention group versus control ( P = 0.01 and P = 0.0002). A significant increase in the number of participants in the intervention group versus control made the correct diagnosis 2 before vital sign change 3 ( P = 0.03), and more participants in the intervention group made the correct diagnosis 3 before the end of the scene when compared with control ( P = 0.001). The median time to start intervention 2 during the dental case was statistically significantly greater in the intervention group versus the control ( P = 0.05). All other endpoints were not statistically significant among the 3 simulation scenarios. Six questions were answered by all participants upon immediate completion of the simulation scenarios and revealed that 19 of 20 participants had delivered anesthesia care to patients similar to the 3 simulation scenarios and 18 of 20 participants reported that they would prefer audiovisual assistance to detect abnormalities in vital signs that subsequently provides appropriate diagnostic and therapeutic options.

CONCLUSIONS

This pilot study suggested some significant improvement in anesthesia professional time to correct diagnosis and completion of identification of the correct diagnosis before the next vital change in the audiovisual cue group versus control, particularly in the outpatient dental case. In addition, the mean and median pooled times to diagnosis were significantly reduced by approximately 1 minute in both evaluated simulation scenarios. The postsimulation survey responses also suggest the desirability of an audiovisual decision support tool among the current anesthesia professional participants. However, overall, there were no significant differences in the time to intervention between groups in all simulation scenarios.

Development and Use of a Cardiac Clinical Guideline Mobile App in Australia: Acceptability and Multi-Methods Study

Background

Implementation of clinical guidelines into routine practice remains highly variable. Strategies to increase guideline uptake include developing digital tools and mobile apps for use in clinical practice. The National Heart Foundation of Australia in collaboration with the Cardiac Society of Australia and New Zealand published 3 key cardiac clinical guidelines, including the Australian clinical guidelines for the (1) prevention and detection of atrial fibrillation, (2) detection and management of heart failure, and (3) management of acute coronary syndromes. To improve access and uptake for health care providers, we developed the Smart Heart Guideline App.

Objective

This study aims to evaluate the acceptability, implementation, and usability of an Australian-specific cardiac guidelines mobile app.

Methods

We used an iterative multiple methods development and implementation approach. First, we conducted a cross-sectional web-based survey with end users (n=504 health professionals) in 2017 to determine the acceptability of an Australian-specific cardiac clinical guidelines mobile app. Second, the Smart Heart Guidelines app was created using a design, user testing, and revision process. The app includes interactive algorithms and flowcharts to inform diagnosis and management at the point of care. The freely available app was launched in October 2019 on iOS and Android operating systems and promoted and implemented using multiple methods. Third, data from 2 annual national cross-sectional general practitioner (GP) surveys in 2019 and 2020 were evaluated to understand the awareness and use of the clinical guidelines and the app. Fourth, data from the app stores were analyzed between October 1, 2019, and June 30, 2021, to evaluate usage.

Results

Most health professionals surveyed (447/504, 89%) reported accessing resources electronically, and most (318/504, 63%) reported that they would use an Australian-specific cardiac guidelines app. GPs surveyed in 2019 were aware of the heart failure (159/312, 51%) and atrial fibrillation (140/312, 45%) guidelines, and in 2020, a total of 34 of 189 (18%) reported that they were aware of the app. The app was downloaded 11,313 times (7483, 66% from the Apple App Store; 3830, 34% from Google Play) during the first 20-month period. Most downloads (6300/7483, 84%) were a result of searching for the app in the stores. Monthly download rates varied. App Store data showed that people used the app twice (on average 2.06 times) during the 20 months. Many (3256/3830, 85%) Android users deleted the app.

Conclusions

Health professionals supported the development of the Smart Heart Guidelines app. Although initial downloads were promising, the frequency of using the app was low and deletion rates were high. Further evaluation of users’ experience of the most and least useful components of the app is needed.

Mobile Applications in Clinical and Perioperative Care for Anesthesia: Narrative Review

BACKGROUND

The increasing use of smartphones by providers and patients alike demonstrates that digital health utilizing mobile applications has the potential to transform perioperative care and education in anesthesia.

OBJECTIVE

This literature review describes the current scope of the use of mobile applications in anesthesiology.

METHODS

Literature was searched using PubMed, Scopus, and clinicaltrials.gov for articles published from January 1, 2010, through April 1, 2020. Only English language studies were included. Articles were included if they examined the use of a mobile health application in the setting of anesthesia or the perioperative (immediate preoperative, intraoperative, and postoperative) period. Studies were excluded if they explored video interventions or did not examine the feasibility or efficacy of the mobile app.

RESULTS

We included 29 articles, and three areas of clinical functionality were identified: patient-centered care (preoperative, intraoperative, and postoperative), systems-based improvement, and medical education. Several studies demonstrate the feasibility and reliability of mobile apps in these areas, but many are only tested for efficacy in simulated environments or with small patient samples.

CONCLUSIONS

Mobile health applications show promise in improving communication between anesthesiologists, improving workflow efficiency, enhancing medical education, and reducing hospital costs. However, there is a need for validation and improvement before full implementation by the provider, patients, and hospital systems. Future studies are needed to demonstrate meaningful health outcomes to create guidelines and recommendations specific to the application of mobile technology to health care.

Smartphone applications managing antithrombotic therapy: a scoping literature review (Preprint)

Background

Antithrombotic therapy is complex and requires informed decisions and high therapy adherence. Several mobile phone apps exist to either support physicians in the management of antithrombotic therapies or to educate and support patients. For the majority of these apps, both their medical evidence and their development background are unknown.

Objective

This review aims to investigate the available literature describing high-quality apps for managing antithrombotic therapy based on professional scientific information.

Methods

Keywords and Medical Subject Heading terms were used to search MEDLINE via PubMed and Ovid between December 2019 and January 2022. Inclusion criteria were the availability of full text and publications in the English language. Apps that solely focused on atrial fibrillation were excluded. Qualitative findings were thematically synthesized and reported narratively.

Results

Out of 149 identified records, 32 were classified as eligible. We identified four groups: (1) apps for patients supporting self-management of vitamin K antagonists, (2) apps for patients increasing therapy adherence, (3) educational apps for patients, and (4) apps for physicians in supporting guideline adherence.

Conclusions

Throughout the evaluated data, patients from all age groups receiving antithrombotic drugs expressed the desire for a digital tool that could support their therapy management. In addition, physicians using mobile guideline-based apps may have contributed to decreased adverse event rates among their patients. In general, digital apps encompassing both user-friendly designs and scientific backgrounds may enhance the safety of antithrombotic therapies. However, our evaluation did not identify any apps that addressed all antithrombotic drugs in combination with perioperative stratification strategies. Currently, strict regulations for smartphone apps seem to negatively affect the development of new apps. Therefore, new legal policies for medical digital apps are urgently needed.

Estimating the impact of deploying an electronic clinical decision support tool as part of a national practice improvement project

OBJECTIVE

Estimate the impact on clinical practice of using a mobile device-based electronic clinical decision support (mECDS) tool within a national standardization project.

MATERIALS AND METHODS

An mECDS tool (app) was released as part of a change package to provide febrile infant management guidance to clinicians. App usage was analyzed using 2 measures: metric hits per case (metric-related screen view count divided by site-reported febrile infant cases in each designated market area [DMA] monthly) and cumulative prior metric hits per site (DMA metric hits summed from study month 1 until the month preceding the index, divided by sites in the DMA). For each metric, a mixed logistic regression model was fit to model site performance as a function of app usage.

RESULTS

An increase of 200 cumulative prior metric hits per site was associated with increased odds of adherence to 3 metrics: appropriate admission (odds ratio [OR], 1.12; 95% confidence interval [CI], 1.06-1.18), appropriate length of stay (OR, 1.20; 95% CI, 1.12-1.28), and inappropriate chest x-ray (OR, 0.82; 95% CI, 0.75-0.91). Ten additional metric hits per case were also associated: OR were 1.18 (95% CI, 1.02-1.36), 1.36 (95% CI, 1.14-1.62), and 0.74 (95% CI, 0.62-0.89).

DISCUSSION

mECDS tools are increasingly being implemented, but their impact on clinical practice is poorly described. To our knowledge, although ecologic in nature, this report is the first to link clinical practice to mECDS use on a national scale and outside of an electronic health record.

CONCLUSIONS

mECDS use was associated with changes in adherence to targeted metrics. Future studies should seek to link mECDS usage more directly to clinical practice and assess other site-level factors.

Effects of Arteriovenous Thrombolysis Combined with Mechanical Thrombectomy on Efficacy and Neurological Function of Acute Cerebral Infarct Patients

Objective

To investigate the effects of arteriovenous thrombolysis combined with mechanical thrombectomy on clinical efficacy, neurological function, and the changes of nerve injury markers of acute cerebral infarct (ACI) patients.

Methods

A total of 143 cases with ACI admitted to our hospital from June 2017 to June 2019 were elected as research subjects. Among them, 69 cases of patients who received treatment of arteriovenous thrombolysis were considered as group A, and 74 cases of patients who received treatment of arteriovenous thrombolysis combined with mechanical thrombectomy were considered as group B. NIHSS score, clinical efficacy, vascular recanalization, adverse reactions, hemodynamics, neurological injury indexes, duration of coma, length of hospital stay, and prognosis of patients in the two groups were compared.

Results

After treatment, the NIHSS score of group A was higher than that of group B (P < 0.05), the clinical efficacy of group B was better than that of group A, and the incidence of adverse reactions was lower than that of group A (P < 0.05). There was no difference in vascular recanalization rate, duration of coma, and prognosis between the two groups (P > 0.05). Length of hospital stay, maximum peak velocity after treatment (Vs), and mean flow rate (Vm) of group A were lower than those of group B, while vascular resistance index (RI), pulsatility index (PI), serum glutamic acid (Glu), neuron-specific enolase (NES), and S100β protein detected by enzyme-linked immunosorbent assay (ELISA) of group A were higher than those of group B (P < 0.05).

Conclusion

Arteriovenous thrombolysis combined with mechanical thrombectomy has a significant effect on ACI, with high safety and quick effect. In addition, it has a stronger effect on improving and protecting the neurological function of patients, which is worth promoting in clinical practice.

Learners and Luddites in the Twenty-first Century: Bringing Evidence-based Education to Anesthesiology

Anesthesiologists are both teachers and learners and alternate between these roles throughout their careers. However, few anesthesiologists have formal training in the methodologies and theories of education. Many anesthesiology educators often teach as they were taught and may not be taking advantage of current evidence in education to guide and optimize the way they teach and learn. This review describes the most up-to-date evidence in education for teaching knowledge, procedural skills, and professionalism. Methods such as active learning, spaced learning, interleaving, retrieval practice, e-learning, experiential learning, and the use of cognitive aids will be described. We made an effort to illustrate the best available evidence supporting educational practices while recognizing the inherent challenges in medical education research. Similar to implementing evidence in clinical practice in an attempt to improve patient outcomes, implementing an evidence-based approach to anesthesiology education may improve learning outcomes.

The role of medical smartphone apps in clinical decision-support: A literature review

INTRODUCTION

The now ubiquitous smartphone has huge potential to assist clinical decision-making across the globe. However, the rapid pace of digitalisation contrasts starkly with the slower rate of medical research and publication. This review explores the evidence base that exists to validate and evaluate the use of medical decision-support apps. The resultant findings will inform appropriate and pragmatic evaluation strategies for future clinical app developers and provide a scientific and cultural context for research priorities in this field.

METHOD

Medline, Embase and Cochrane databases were searched for clinical trials concerning decision support and smart phones from 2007 (introduction of first smartphone iPhone) until January 2019.

RESULTS

Following exclusions, 48 trials and one Cochrane review were included for final analysis. Whilst diagnostic accuracy studies are plentiful, clinical trials are scarce. App research methodology was further interrogated according to setting and decision-support modality: e.g. camera-based, guideline-based, predictive models. Description of app development pathways and regulation were highly varied. Global health emerged as an early adopter of decision-support apps and this field is leading implementation and evaluation.

CONCLUSION

Clinical decision-support apps have considerable potential to enhance access to care and quality of care, but the medical community must rise to the challenge of modernising its approach if it is truly committed to capitalising on the opportunities of digitalisation.

Impact of Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload

OBJECTIVE

To evaluate the individual-level impact of an electronic clinical decision support (ECDS) tool, PedsGuide, on febrile infant clinical decision making and cognitive load.

METHODS

A counterbalanced, prospective, crossover simulation study was performed among attending and trainee physicians. Participants performed simulated febrile infant cases with use of PedsGuide and with standard reference text. Cognitive load was assessed using the NASA-Task Load Index (NASA-TLX), which determines mental, physical, temporal demand, effort, frustration, and performance. Usability was assessed with the System Usability Scale (SUS). Scores on cases and NASA-TLX scores were compared between condition states.

RESULTS

A total of 32 participants completed the study. Scores on febrile infant cases using PedsGuide were greater compared with standard reference text (89% vs 72%, P = .001). NASA-TLX scores were lower (ie, more optimal) with use of PedsGuide versus control (mental 6.34 vs 11.8, P < .001; physical 2.6 vs 6.1, P = .001; temporal demand 4.6 vs 8.0, P = .003; performance 4.5 vs 8.3, P < .001; effort 5.8 vs 10.7, P < .001; frustration 3.9 vs 10, P < .001). The SUS had an overall score of 88 of 100 with rating of acceptable on the acceptability scale.

CONCLUSIONS

Use of PedsGuide led to increased adherence to guidelines and decreased cognitive load in febrile infant management when compared with the use of a standard reference tool. This study employs a rarely used method of assessing ECDS tools using a multifaceted approach (medical decision-making, assessing usability, and cognitive workload,) that may be used to assess other ECDS tools in the future.

A Novel Open-Source Novel App Improves Anesthesia Operating Room Equipment Supply

Anesthesiologists are dependent on specialized drugs and equipment being immediately available for patient care. Deficiencies in supplies impact on operating room efficiency and patient safety. In our institution, we do not have anesthesia assistants/aides and depend on general aides to stock anesthesia related equipment which resulted in many shortages. We hypothesized that a mobile app would be useful for tracking and reporting and informing changes to stocking resulting in an improvement in the supply of anesthesia equipment. Following institutional quality improvement approval, we developed an app to collect metrics (which included the last 2 months of paper documentation - September and October 2015) and the first 12 months of the app usage (November 2015 to November 2016). Descriptive statistics were used to analyze data from the app. The primary outcome was the number of reports made over time. Secondary outcomes include the impact of missing items on operating room efficiency and patient safety, the most commonly reported missing items, and the most common actions taken following the discovery of missing items. The app increased the reporting by more than 300% (compared to paper) over the first 2 months. Over the year, 549 items were reported missing. The most common category of missing items was airway related 274 (49.9%). The single most commonly reported missing item was the Wisconsin Laryngoscope Size 1 Blade 95 (17.3%). App users reported the missing item safety impact as high 86 (15.7%) times and efficiency impact as high 117 (21.3%) times. Changes to staffing and supply resulted in a decrease in missing items reported. Our results demonstrate that an app can be useful for reporting, tracking of real-time shortages of anesthesia equipment and is easy to design and implement. Furthermore, the app has generated useful and robust data that has led to staffing changes and improvements in the anesthesia equipment supply chain. The app design and use may be useful in other clinical areas.