scholarly journals How we handled COVID crisis? Experience of an Indian tertiary level NICU

2021 ◽  
Vol 8 (10) ◽  
pp. 377-379
Author(s):  
Harkirat Kaur ◽  
Anita Singh ◽  
Kirti Naranje
Keyword(s):  
Healthcare Workers ◽  
Neonatal Intensive Care ◽  
Clinical Care ◽  
Clinical Decision ◽  
Respiratory Support ◽  
Accidental Exposure ◽  
Pediatric Resident ◽  
Significant Deterioration ◽  
Video Calling ◽  
Negative Conclusion

Background: Coronavirus disease (COVID-19) has imposed several challenges in clinical care. With rapid increase in the disease, there has been lot of incidences of COVID-19 positive exposure among the healthcare workers resulting in major crisis. Aim: The aim of the study was to emphasize various methods that can be used to manage COVID-19 crisis due to accidental exposure. Methods: An unprecedented exposure occurred to a COVID-19 positive healthcare worker in the Neonatal Intensive Care Unit (NICU), which led to quarantine of almost 90% of the primary staff. The methods undertaken included communication and continuation of clinical care through teleconsultation (video calling, zoom meetings for clinical decision, telecharting of daily prescription, and facilitating manpower from allied departments [only one pediatric resident each day], and restoration of services with come back). Results: There were total 11 babies at the time of exposure. Two babies were on respiratory support. The parents were counseled through teleconsultation. Nine babies could be discharged during quarantine period and there was no significant deterioration in the clinical condition of the two babies on respiratory support. All the babies were tested for COVID-19 as per post-exposure protocol and remained negative. Conclusion: With the help of teleconsultation and support from allied specialties and other health facilities, the crisis of COVID-19 exposure can be handled well.

scholarly journals Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network

2021 ◽  
Vol 11 (7) ◽  
pp. 647
Author(s):  
Nina R. Sperber ◽  
Olivia M. Dong ◽  
Megan C. Roberts ◽  
Paul Dexter ◽  
Amanda R. Elsey ◽  
...  
Keyword(s):  
Precision Medicine ◽  
Program Implementation ◽  
Clinical Care ◽  
Genomic Medicine ◽  
Implementation Strategies ◽  
Clinical Decision ◽  
Implementing Change ◽  
Implementation Outcomes ◽  
Planning Framework

The complexity of genomic medicine can be streamlined by implementing some form of clinical decision support (CDS) to guide clinicians in how to use and interpret personalized data; however, it is not yet clear which strategies are best suited for this purpose. In this study, we used implementation science to identify common strategies for applying provider-based CDS interventions across six genomic medicine clinical research projects funded by an NIH consortium. Each project’s strategies were elicited via a structured survey derived from a typology of implementation strategies, the Expert Recommendations for Implementing Change (ERIC), and follow-up interviews guided by both implementation strategy reporting criteria and a planning framework, RE-AIM, to obtain more detail about implementation strategies and desired outcomes. We found that, on average, the three pharmacogenomics implementation projects used more strategies than the disease-focused projects. Overall, projects had four implementation strategies in common; however, operationalization of each differed in accordance with each study’s implementation outcomes. These four common strategies may be important for precision medicine program implementation, and pharmacogenomics may require more integration into clinical care. Understanding how and why these strategies were successfully employed could be useful for others implementing genomic or precision medicine programs in different contexts.

scholarly journals Implementation of Rapid Molecular Diagnostic Tests and Antimicrobial Stewardship Involvement in Acute-Care Hospitals

2020 ◽  
Vol 41 (S1) ◽  
pp. s278-s279
Author(s):  
Maiko Kondo ◽  
Matthew Simon ◽  
Esther Babady ◽  
Angela Loo ◽  
David Calfee
Keyword(s):  
Antimicrobial Stewardship ◽  
Diagnostic Tests ◽  
New Technology ◽  
Clinical Care ◽  
Bloodstream Infections ◽  
Clinical Decision ◽  
Research Network ◽  
Molecular Diagnostic ◽  
Financial Outcomes ◽  
Stewardship Program

Background: In recent years, several rapid molecular diagnostic tests (RMDTs) for infectious diseases diagnostics, such as bloodstream infections (BSIs), have become available for clinical use. The extent to which RMDTs have been adopted and how the results of these tests have been incorporated into clinical care are currently unknown. Methods: We surveyed members of the Society for Healthcare Epidemiology of America Research Network to characterize utilization of RMDT in hospitals and antimicrobial stewardship program (ASP) involvement in result communication and interpretation. The survey was administered using Qualtrics software, and data were analyzed using Stata and Excel software. Results: Overall, 57 responses were received (response rate, 59%), and 72% were from academic hospitals; 50 hospitals (88%) used at least 1 RMDT for BSI (Fig. 1). The factors most commonly reported to have been important in the decision to adopt RMDT were improvements in antimicrobial usage (82%), clinical outcomes (74%), and laboratory efficiency (52%). Among 7 hospitals that did not use RMDT for BSI, the most common reason was cost of new technology. In 50 hospitals with RMDT for BSI, 54% provided written guidelines for optimization or de-escalation of antimicrobials based upon RMDT results. In 40 hospitals (80%), microbiology laboratories directly notified a healthcare worker of the RMDT results: 70% provided results to a physician, nurse practitioner, or physician assistant; 48% to the ASP team; and 33% to a nurse. Furthermore, 11 hospitals (22%) had neither guidelines nor ASP intervention. In addition, 24 hospitals (48%) reported performing postimplementation evaluation of RMDT impact. Reported findings included reduction in time to antibiotic de-escalation (75%), reduction in length of stay (25%), improved laboratory efficiency (20%), and reduction in mortality and overall costs (12%). Among the 47 hospitals with both RMDT and ASP, 79% reported that the ASP team routinely reviewed blood culture RMDT results, and 53.2% used clinical decision support software to do so. Finally, 53 hospitals (93%) used 1 or more RMDT for non–bloodstream infections (Fig. 1). Fewer than half of hospitals provided written guidelines to assist clinicians in interpreting these RMDT results. Conclusions: RMDTs have been widely adopted by participating hospitals and are associated with positive self-reported clinical, logistic, and financial outcomes. However, nearly 1 in 4 hospitals did not have guidelines or ASP interventions to assist clinicians with optimization of antimicrobial prescribing based on RMDT results for BSI. Also, most hospitals did not have guidelines for RMDT results for non-BSI. These findings suggest that opportunities exist to further enhance the potential benefits of RMDT.Funding: NoneDisclosures: None

scholarly journals Increase in recruitment upon integration of trial into a clinical care pathway: an observational study

2021 ◽  
Vol 8 (1) ◽  
pp. e000967
Author(s):  
Kay Por Yip ◽  
Simon Gompertz ◽  
Catherine Snelson ◽  
Jeremy Willson ◽  
Shyam Madathil ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Hospital Admissions ◽  
Care Pathway ◽  
Clinical Care ◽  
Intensive Therapy ◽  
Respiratory Support ◽  
Trial Recruitment ◽  
Recruitment Process ◽  
Support Unit ◽  
Clinical Care Pathway

IntroductionMany respiratory clinical trials fail to reach their recruitment target and this problem exacerbates existing funding issues. Integration of the clinical trial recruitment process into a clinical care pathway (CCP) may represent an effective way to significantly increase recruitment numbers.MethodsA respiratory support unit and a CCP for escalation of patients with severe COVID-19 were established on 11 January 2021. The recruitment process for the Randomised Evaluation of COVID-19 Therapy-Respiratory Support trial was integrated into the CCP on the same date. Recruitment data for the trial were collected before and after integration into the CCP.ResultsOn integration of the recruitment process into a CCP, there was a significant increase in recruitment numbers. Fifty patients were recruited over 266 days before this process occurred whereas 108 patients were recruited over 49 days after this process. There was a statistically significant increase in both the proportion of recruited patients relative to the number of COVID-19 hospital admissions (change from 2.8% to 9.1%, p<0.0001) and intensive therapy unit admissions (change from 17.8% to 50.2%, p<0.001) over the same period, showing that this increase in recruitment was independent of COVID-19 prevalence.DiscussionIntegrating the trial recruitment process into a CCP can significantly boost recruitment numbers. This represents an innovative model that can be used to maximise recruitment without impacting on the financial and labour costs associated with the running of a respiratory clinical trial.

Evidence-based guidelines for acute stabilization and management of neonates with persistent pulmonary hypertension of the newborn

2021 ◽  
Author(s):  
Molly K Ball ◽  
Ruth Seabrook ◽  
Elizabeth M Bonachea ◽  
Bernadette Chen ◽  
Omid Fathi ◽  
...  
Keyword(s):  
Pulmonary Hypertension ◽  
Neonatal Intensive Care ◽  
Best Practice ◽  
Clinical Care ◽  
Persistent Pulmonary Hypertension ◽  
High Morbidity ◽  
Evidence Based ◽  
Extensive Literature ◽  
Disciplinary Expertise ◽  
Evidence Based Guidelines

Persistent pulmonary hypertension of the newborn, or PPHN, represents a challenging condition associated with high morbidity and mortality. Management is complicated by complex pathophysiology and limited neonatal specific evidence-based literature, leading to a lack of universal contemporary clinical guidelines for the care of these patients. To address this need and to provide consistent high-quality clinical care for this challenging population in our neonatal intensive care unit, we sought to develop a comprehensive clinical guideline for the acute stabilization and management of neonates with PPHN. Utilizing cross-disciplinary expertise and incorporating an extensive literature search to guide best practice, we present an approachable, pragmatic, and clinically relevant guide for the bedside management of acute PPHN.

Automated control of oxygen titration in preterm infants on non-invasive respiratory support

2021 ◽  
pp. fetalneonatal-2020-321538
Author(s):  
Peter A Dargaville ◽  
Andrew P Marshall ◽  
Oliver J Ladlow ◽  
Charlotte Bannink ◽  
Rohan Jayakar ◽  
...  
Keyword(s):  
Preterm Infants ◽  
Neonatal Intensive Care ◽  
Supplemental Oxygen ◽  
Respiratory Support ◽  
Target Range ◽  
Manual Control ◽  
Oxygen Control ◽  
Automated Control ◽  
Non Invasive ◽  
Automated Oxygen Control

ObjectiveTo evaluate the performance of a rapidly responsive adaptive algorithm (VDL1.1) for automated oxygen control in preterm infants with respiratory insufficiency.DesignInterventional cross-over study of a 24-hour period of automated oxygen control compared with aggregated data from two flanking periods of manual control (12 hours each).SettingNeonatal intensive care unit.ParticipantsPreterm infants receiving non-invasive respiratory support and supplemental oxygen; median birth gestation 27 weeks (IQR 26–28) and postnatal age 17 (12–23) days.InterventionAutomated oxygen titration with the VDL1.1 algorithm, with the incoming SpO2 signal derived from a standard oximetry probe, and the computed inspired oxygen concentration (FiO2) adjustments actuated by a motorised blender. The desired SpO2 range was 90%–94%, with bedside clinicians able to make corrective manual FiO2 adjustments at all times.Main outcome measuresTarget range (TR) time (SpO2 90%–94% or 90%–100% if in air), periods of SpO2 deviation, number of manual FiO2 adjustments and oxygen requirement were compared between automated and manual control periods.ResultsIn 60 cross-over studies in 35 infants, automated oxygen titration resulted in greater TR time (manual 58 (51–64)% vs automated 81 (72–85)%, p<0.001), less time at both extremes of oxygenation and considerably fewer prolonged hypoxaemic and hyperoxaemic episodes. The algorithm functioned effectively in every infant. Manual FiO2 adjustments were infrequent during automated control (0.11 adjustments/hour), and oxygen requirements were similar (manual 28 (25–32)% and automated 26 (24–32)%, p=0.13).ConclusionThe VDL1.1 algorithm was safe and effective in SpO2 targeting in preterm infants on non-invasive respiratory support.Trial registration numberACTRN12616000300471.

scholarly journals Implementing machine learning algorithms for suicide prevention: Designing a Clinical Decision Support tool in partnership with Native American care providers (Preprint)

2020 ◽  
Author(s):  
Emily Haroz ◽  
Fiona Grubin ◽  
Novalene Goklish ◽  
Shardai Pioche ◽  
Mary Cwik ◽  
...  
Keyword(s):  
Native American ◽  
Risk Prediction ◽  
Suicide Risk ◽  
Clinical Care ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Case Managers ◽  
Machine Learning Algorithms ◽  
Support Tool ◽  
Appropriate Care

BACKGROUND Machine learning algorithms for suicide risk prediction have been developed with notable improvements in accuracy. Implementing these algorithms to enhance clinical care and reduce suicide has not been well studied. OBJECTIVE Our study aimed to design a Clinical Decision Support tool (CDS) and appropriate care pathways for a community-based suicide surveillance and case management systems operating on Native American reservations. METHODS Participants included Native American case managers and supervisors (N = 9) who work on suicide surveillance and case management programs on two Native American reservations. We used in-depth interviews to understand how case managers think about and respond to suicide risk. Results from interviews informed a draft CDS tool, which was then reviewed with supervisors and combined with appropriate care pathways. RESULTS Case managers reported acceptance of risk flags based on a predictive algorithm in their surveillance system tools, particularly if the information was available in a timely way and used in conjunction with their clinical judgement. Implementation of risk flags needed to be programmed on a dichotomous basis so the algorithm could produce output indicating high vs. low risk. To dichotomize the continuous predicted probabilities, we developed a cutoff point that favored specificity, with the understanding that case managers’ clinical judgment would help increase sensitivity. CONCLUSIONS Suicide risk prediction algorithms show promise, but implementation to guide clinical care has remained relatively elusive. Our study demonstrates the utility of working with partners to develop and guide operationalization of risk prediction algorithms to enhance clinical care in a community setting.

scholarly journals Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign

2016 ◽  
Vol 3 (2) ◽  
pp. e26 ◽  
Author(s):  
Deborah J Cohen ◽  
Sara R Keller ◽  
Gillian R Hayes ◽  
David A Dorr ◽  
Joan S Ash ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Care ◽  
Clinical Decision ◽  
Health Data ◽  
Lessons Learned

scholarly journals XML Data and Knowledge-Encoding Structure for a Web-Based and Mobile Antenatal Clinical Decision Support System: Development Study

10.2196/17512 ◽  
2020 ◽  
Vol 4 (10) ◽  
pp. e17512
Author(s):  
Ever Augusto Torres Silva ◽  
Sebastian Uribe ◽  
Jack Smith ◽  
Ivan Felipe Luna Gomez ◽  
Jose Fernando Florez-Arango
Keyword(s):  
Decision Support ◽  
Antenatal Care ◽  
Clinical Decision Support ◽  
Web Application ◽  
Clinical Care ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Structure Design ◽  
Mobile App ◽  
Clinical Workflow

Background Displeasure with the functionality of clinical decision support systems (CDSSs) is considered the primary challenge in CDSS development. A major difficulty in CDSS design is matching the functionality to the desired and actual clinical workflow. Computer-interpretable guidelines (CIGs) are used to formalize medical knowledge in clinical practice guidelines (CPGs) in a computable language. However, existing CIG frameworks require a specific interpreter for each CIG language, hindering the ease of implementation and interoperability. Objective This paper aims to describe a different approach to the representation of clinical knowledge and data. We intended to change the clinician’s perception of a CDSS with sufficient expressivity of the representation while maintaining a small communication and software footprint for both a web application and a mobile app. This approach was originally intended to create a readable and minimal syntax for a web CDSS and future mobile app for antenatal care guidelines with improved human-computer interaction and enhanced usability by aligning the system behavior with clinical workflow. Methods We designed and implemented an architecture design for our CDSS, which uses the model-view-controller (MVC) architecture and a knowledge engine in the MVC architecture based on XML. The knowledge engine design also integrated the requirement of matching clinical care workflow that was desired in the CDSS. For this component of the design task, we used a work ontology analysis of the CPGs for antenatal care in our particular target clinical settings. Results In comparison to other common CIGs used for CDSSs, our XML approach can be used to take advantage of the flexible format of XML to facilitate the electronic sharing of structured data. More importantly, we can take advantage of its flexibility to standardize CIG structure design in a low-level specification language that is ubiquitous, universal, computationally efficient, integrable with web technologies, and human readable. Conclusions Our knowledge representation framework incorporates fundamental elements of other CIGs used in CDSSs in medicine and proved adequate to encode a number of antenatal health care CPGs and their associated clinical workflows. The framework appears general enough to be used with other CPGs in medicine. XML proved to be a language expressive enough to describe planning problems in a computable form and restrictive and expressive enough to implement in a clinical system. It can also be effective for mobile apps, where intermittent communication requires a small footprint and an autonomous app. This approach can be used to incorporate overlapping capabilities of more specialized CIGs in medicine.

scholarly journals ACADEMIA’S ROLE TO DRIVE CHANGE IN THE ORTHOTICS AND PROSTHETICS PROFESSION

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Géza Kogler ◽  
Christopher Hovorka
Keyword(s):  
Technology Use ◽  
Clinical Training ◽  
Clinical Decision Making ◽  
New Technologies ◽  
Clinical Care ◽  
Clinical Decision ◽  
The United States ◽  
Academic Program ◽  
Number Of Patients ◽  
Curricular Emphasis

This position paper outlines the important role of academia in shaping the orthotics and prosthetics (O&P) profession and preparing for its future. In the United States, most healthcare professions including O&P are under intense pressure to provide cost effective treatments and quantifiable health outcomes. Pivotal changes are needed in the way O&P services are provided to remain competitive. This will require the integration of new technologies and data driven processes that have the potential to streamline workflows, reduce errors and inform new methods of clinical care and device manufacturing. Academia can lead this change, starting with a restructuring in academic program curricula that will enable the next generation of professionals to cope with multiple demands such as the provision of services for an increasing number of patients by a relatively small workforce of certified practitioners delivering these services at a reduced cost, with the expectation of significant, meaningful, and measurable value. Key curricular changes will require replacing traditional labor-intensive and inefficient fabrication methods with the integration of newer technologies (i.e., digital shape capture, digital modeling/rectification and additive manufacturing). Improving manufacturing efficiencies will allow greater curricular emphasis on clinical training and education – an area that has traditionally been underemphasized. Providing more curricular emphasis on holistic patient care approaches that utilize systematic and evidence-based methods in patient assessment, treatment planning, dosage of O&P technology use, and measurement of patient outcomes is imminent. Strengthening O&P professionals’ clinical decision-making skills and decreasing labor-intensive technical fabrication aspects of the curriculum will be critical in moving toward a digital and technology-centric practice model that will enable future practitioners to adapt and survive. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/36673/28349 How To Cite: Kogler GF, Hovorka CF. Academia’s role to drive change in the orthotics and prosthetics profession. Canadian Prosthetics & Orthotics Journal. 2021; Volume 4, Issue 2, No.21. https://doi.org/10.33137/cpoj.v4i2.36673 Corresponding Author: Géza F. KoglerOrthotics and Prosthetics Unit, Kennesaw State University.E-Mail: [email protected] ID: https://orcid.org/0000-0003-0212-5520

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