scholarly journals Criteria for recommendations after perioperative sentinel events

2021 ◽  
Vol 10 (3) ◽  
pp. e001493
Author(s):  
Kelly Bos ◽  
Dave A Dongelmans ◽  
Jop Groeneweg ◽  
Dink A Legemate ◽  
Ian P Leistikow ◽  
...  

BackgroundThe recurrence of sentinel events (SEs) is a persistent problem worldwide, despite repeated analyses and recommendations formulated to prevent recurrence. Research suggests this is partly attributable to the quality of the recommendations, and determining if a recommendation will be effective is not yet covered by an adequate guideline. Our objectives were to (1) develop and validate criteria for high-quality recommendations, and (2) evaluate recommendations using the criteria developed.Methods(1) Criteria were developed by experts using the bowtie method. Medical doctors then determined if the recommendations of Dutch in-hospital SE analysis reports met the criteria, after which interobserver variability was tested. (2) Researchers determined which recommendations of Dutch perioperative SE analysis reports produced from 2017 to 2018 met the criteria.ResultsThe criteria were: (1) a recommendation needs to be well defined and clear, (2) it needs to specifically describe the intended changes, and (3) it needs to describe how it will reduce the risk or limit the consequences of a similar SE. Validation of criteria showed substantial interobserver agreement. The SE analysis reports (n=115) contained 442 recommendations, of which 64% failed to meet all criteria, and 28% of reports did not contain a single recommendation that met the criteria.ConclusionWe developed and validated criteria for high-quality recommendations. The majority of recommendations did not meet our criteria. It was disconcerting to find that over a quarter of the investigations did not produce a single recommendation that met the criteria, not even in SEs with a fatal outcome. Healthcare providers have an obligation to prevent SEs, and certainly their recurrence. We anticipate that using these criteria to determine the potential of recommendations will aid in this endeavour.

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Jeremy Y. Ng ◽  
Saad Ahmed ◽  
Catherine Jiayi Zhang

Abstract Background Given the high prevalence of dietary and herbal supplement (DHS) use in tandem with the growing ease of internet access, patients commonly search online for consumer health information about these products. One common reason for DHSs use includes weight loss. Healthcare providers need to be aware of the quality of online information about DHSs for weight loss so they can adequately counsel their patients and provide them with guidance surrounding the identification of high-quality information resources. This study aimed to assess the quality of online DHSs consumer health information for weight loss that a “typical” patient might access online. Methods Six search terms were used to generate the first 20 websites on the Google search engine in four countries: Australia, Canada, the United Kingdom, and the United States (n = 480 websites). After applying exclusion criteria, eligible websites were quality assessed using the DISCERN instrument. This tool is comprised of 16 questions, each evaluated on a 5-point scale. The averages and standard deviations for each DISCERN instrument item, in addition to overall summed scores between 15 and 75 were calculated. Results Across 87 eligible websites, the mean summed score was 44.80 (SD = 11.53), while the mean overall DISCERN score of each website was 2.72 (SD = 0.99). In general, websites detailed and achieved their specified aims and described treatment benefits. However, most websites failed to describe the impact of treatment on overall quality of life and the impact of a no treatment option. The highest-scoring websites were largely government or health portal websites, while the lowest-scoring websites were largely commercial in nature. Conclusion High variability in DISCERN instrument scores was found across all websites assessed. Healthcare providers should be aware of the fact that their patients may be accessing misinformation online surrounding the use of DHSs for weight loss. Therefore, it is important for healthcare providers to ensure that they are providing their patients with guidance on how to identify high-quality resources online, in order that safe, effective, and evidence-based decisions are made surrounding the use of DHSs for weight loss.


2020 ◽  
Vol 9 (1) ◽  
pp. e000739 ◽  
Author(s):  
Kelly Bos ◽  
Dave A Dongelmans ◽  
Sjoerd Greuters ◽  
Gert-Jan Kamps ◽  
Maarten J van der Laan

ObjectiveThe aim of this study was to evaluate the current status of handling and learning from sentinel events (SEs) in Dutch academic hospitals and to develop a basis for the first steps in a joint and transparent approach to improve learning from SEs.DesignSurvey by the Netherlands Federation of University Medical Centres (NFU) as part of the project ‘Quality-based Governance’.Participants and settingAll eight Dutch University Medical Centres (UMCs).ResultsThree methods are used to identify the root cause of SEs: the Systematic Incident Reconstruction and Evaluation, Prevention and Recovery Information System for Monitoring and Analysis or TRIPOD method. Experts with different backgrounds are involved in the analysis of SEs. UMCs have different policies regarding the selection of recommendations for implementation. Some UMCs implement all recommendations formulated by the analysis team and in some UMCs the head of the involved department selects recommendations for implementation. No predetermined criteria have been established for this selection. Most UMCs confirm that similar SEs reoccur, which might be due to the quality of the analysis of the SEs or the quality of the recommendations.ConclusionThere is a large variety in handling SEs in Dutch academic hospitals and standards for the selection of recommendations are lacking. A next step to decrease the number of (similar) SEs lies in a joint and transparent approach to objectively assess recommendations and further define strategies for successful implementation. Selecting high-quality recommendations for implementation has the potential to lead to a decrease in the number of (similar) SEs and increase in the quality and safety of Dutch healthcare.


2021 ◽  
Author(s):  
Juan G. Diaz Ochoa ◽  
Faizan Mustafa

AbstractBackgroundCurrently, the healthcare sector strives to increase the quality of patient management and improve the economic performance of healthcare providers. The data contained in electronic health records (EHRs) offer the potential to discover relevant patterns that aim to relate diseases and therapies, and thus discover patterns that could help identify empirical medical guidelines that reflect best practices in the healthcare system. Based on this pattern identification, it is then possible to implement recommendation systems based on the idea that a higher volume of procedures is associated with high-quality models.MethodsAlthough there are several applications that use machine learning methods to identify these patterns, this identification is still a challenge, in part because these methods often ignore the basic structure of the population, considering the similarity of diagnoses and patient typology. To this end, we have developed graph methods that aim to cluster similar patients. In such models, patients are linked when the same or similar patterns can be observed for these patients, a concept that enables the construction of a network-like structure. This structure can then be analyzed with Graph Neural Networks (GNN) to identify relevant labels, in this case the appropriate medical procedures.ResultsWe report the construction of a patient Graph structure based on basic patient’s information like age and gender as well as the diagnoses and trained GNNs models to identify the corresponding patient’s therapies using a synthetic patient database. We compared our GNN models against different baseline models (using the SCIKIT-learn library of python) and compared the performance of the different model methods. We have found that GNNs are superior, with an average improvement of the f1 score of 6.48% respect to the baseline models. In addition, the GNNs are useful for performing additional clustering analyses that allow specific identification of specific therapeutic clusters related to a particular combination of diagnoses.ConclusionsWe found that GNNs are a promising way to model the distribution of diagnoses in a patient population and thus better model how similar patients can be identified based on the combination of morbidities and comorbidities. Nevertheless, network building is still challenging and prone to prejudice, as it depends on how ICD distribution affects the patient network embedding space. This network setup requires not only a high quality of the underlying diagnostic ecosystem, but also a good understanding of how to identify related patients by disease. For this reason, additional work is needed to improve and better standardize patient embedding in graph structures for future investigations and applications of services based on this technology, and therefore is not yet an interventional study.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Thanansayan Dhivagaran ◽  
Umaima Abbas ◽  
Fahad Butt ◽  
Luckshann Arunasalam ◽  
Oswin Chang

Abstract Background In December 2019, a novel coronavirus, severe acute respiratory syndrome coronavirus 2 was identified as the cause of an acute respiratory disease, coronavirus disease 2019 (COVID-19). Given the lack of validated treatments, there is an urgent need for a high-quality management of COVID-19. Clinical practice guidelines (CPGs) are one tool that healthcare providers may use to enhance patient care. As such, it is necessary that they have access to high-quality evidence-based CPGs upon which they may base decisions regarding the management and use of therapeutic interventions (TI) for COVID-19. The purpose of the proposed study is to assess the quality of CPGs that make management or TI recommendations for COVID-19 using the AGREE II instrument. Methods The proposed systematic review will identify CPGs for TI use and/or the management of COVID-19. The MEDLINE, EMBASE, CINAHL, and Web of Science databases, as well as the Guidelines International Network, National Institute for Health and Clinical Excellence, Scottish Intercollegiate Guidelines Network, and the World Health Organization websites, will be searched from December 2019 onwards. The primary outcome of this study is the assessed quality of the CPGs. The quality of eligible CPGs will be assessed using the Appraisal of Guidelines, Research and Evaluation II (AGREE II) instrument. Descriptive statistics will be used to quantify the quality of the CPGs. The secondary outcomes of this study are the types of management and/or TI recommendations made. Inconsistent and duplicate TI and/or management recommendations made between CPGs will be compared across guidelines. To summarize and explain the findings related to the included CPGs, a narrative synthesis will also be provided. Discussion The results of this study will be of utmost importance to enhancing clinical decision-making among healthcare providers caring for patients with COVID-19. Moreover, the results of this study will be relevant to guideline developers in the creation of CPGs or improvement of existing ones, researchers who want to identify gaps in knowledge, and policy-makers looking to encourage and endorse the adoption of CPGs into clinical practice. The results of this review will be published in a peer-reviewed journal and presented at conferences. Systematic review registration International Prospective Register for Systematic Reviews (PROSPERO)—CRD42020219944


2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Rapat Pittayanon ◽  
Rungsun Rerknimitr ◽  
Naruemon Wisedopas ◽  
Suparat Khemnark ◽  
Kessarin Thanapirom ◽  
...  

Background. Reading the results of gastric intestinal metaplasia (GIM) with probe-based confocal laser endomicroscopy (pCLE) by the expert was excellent. There is a lack of study on the learning curve for GIM interpretation. Therefore, we conducted a study to explore the learning curve in the beginners. Material and Method. Five GI fellows who had no experience in GIM interpretation had been trained with a set of 10 pCLE video clips of GIM and non-GIM until they were able to interpret correctly. Then they were asked to interpret another 80 video clips of GIM and non-GIM. The sensitivity, specificity, accuracy, PPV, NPV, and interobserver agreement on each session were analyzed. Results. Within 2 sessions, all beginners can achieve 80% accuracy with substantial to almost perfect level of interobserver agreement. The sensitivities and specificities among all interpreters were not different statistically. Four out of five interpreters can maintain their high quality of reading skill. Conclusion. After a short session of training on GIM interpretation of pCLE images, the beginners can achieve a high level of reading accuracy with at least substantial level of interobserver agreement. Once they achieve the high reading accuracy, almost all can maintain their high quality of reading skill.


2020 ◽  
Author(s):  
Thanansayan Dhivagaran ◽  
Umaima Abbas ◽  
Fahad Rasool Butt ◽  
Luckshann Arunasalam ◽  
Oswin Chang

Abstract BackgroundIn December 2019, a novel coronavirus, severe acute respiratory syndrome coronavirus 2 was identified as the cause of an acute respiratory disease, coronavirus disease 2019 (COVID-19). Given the lack of validated treatments, there is an urgent need for the high-quality management of COVID-19. Clinical practice guidelines (CPGs) are one tool that healthcare providers may use to enhance patient care. As such, it is necessary that they have access to high-quality evidence-based CPGs upon which they may base decisions regarding the management and use of therapeutic interventions (TI) for COVID-19. The purpose of the proposed study is to assess the quality of CPGs that make management or TI recommendations for COVID-19 using the AGREE II instrument. Methods‌The proposed systematic review will identify CPGs for TI use and/or the management of COVID-19. MEDLINE, EMBASE, CINAHL and Web of Science will be searched from December 2019 up to December 2020. The primary outcome of this study is the assessed quality of the CPGs. The quality of eligible CPGs will be assessed using the Appraisal of Guidelines, Research and Evaluation II (AGREE II) instrument. Descriptive statistics will be used to quantify the quality of the CPGs. The secondary outcomes of this study are the types of management and/or TI recommendations made. Inconsistent and duplicate TI and/or management recommendations made between CPGs will be compared across guidelines. DiscussionThe results of this study will be of utmost importance to enhancing clinical decision-making among healthcare providers caring for patients with COVID-19. Moreover, the results of this study will be relevant to guideline developers in the creation of CPGs or improvement of existing ones, researchers who want to identify gaps in knowledge, and policy-makers looking to encourage and endorse the adoption of CPGs into clinical practice. The results of this review will be published in a peer-reviewed journal and presented at conferences. Systematic Review ‌Registration‌ ‌International‌ ‌Prospective‌ ‌Register‌ ‌for‌ ‌Systematic‌ ‌Reviews‌ ‌(PROSPERO)‌ ‌—‌ ‌CRD42020219944


2021 ◽  
pp. 1357633X2199821
Author(s):  
Christopher Tran ◽  
Douglas Archibald ◽  
Susan Humphrey-Murto ◽  
Timothy J Wood ◽  
Nancy Dudek ◽  
...  

High-quality correspondence between healthcare providers is critical for effective patient care. We developed an assessment tool to measure the quality of specialist correspondence to primary care providers (PCPs) via electronic consultation (eConsult), where specialists provide advice without specialist-patient interactions. We incorporated fourteen previously described features of high-quality eConsult correspondence into an assessment tool named the eConsult Specialist Quality of Response (eSQUARE). Six PCPs and two specialists applied the 10-item eSQUARE tool to 30 eConsults of varying quality as informed by PCP survey data. Content, response process, and internal structure validity evidence was gathered. Psychometric properties were calculated using descriptive statistics and generalizability analyses. Mean total score for low-quality eConsults (M = 24 ± 5.6) was significantly lower than moderate-quality eConsults (M = 38 ± 4.7; p<0.001) which was significantly lower than high-quality eConsults (M = 46 ± 3.0; p = 0.002). Reliability measures were high, including generalizability coefficient (0.96), inter-item (≥0.55) and item-total correlations (≥0.68). A decision study demonstrated that a single rater was adequate to achieve a reliability measure of ≥0.70. This study demonstrates initial validity evidence including multiple reliability measures for the eSQUARE. A single rater is adequate to achieve reliability measures for formative feedback. Future studies can apply the eSQUARE when planning educational initiatives aiming to improve specialist-to-PCP correspondence via eConsult.


Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.


2020 ◽  
pp. 52-58 ◽  
Author(s):  
A. A. Eryomenko ◽  
N. V. Rostunova ◽  
S. A. Budagyan ◽  
V. V. Stets

The experience of clinical testing of the personal telemedicine system ‘Obereg’ for remote monitoring of patients at the intensive care units of leading Russian clinics is described. The high quality of communication with the remote receiving devices of doctors, the accuracy of measurements, resistance to interference from various hospital equipment and the absence of its own impact on such equipment were confirmed. There are significant advantages compared to stationary patient monitors, in particular, for intra and out-of-hospital transportation of patients.


2018 ◽  
pp. 26-35
Author(s):  
Z. A. Agaeva ◽  
K. B. Baghdasaryan

The transthoracic echocardiography made by multifrequency probes with support of the mode of the second harmonic imaging, is a competitive method for visualization of the main coronary arteries and allows to estimate coronary blood flow with high quality. Of course, the method has considerable restrictions, most important of which is the low spatial resolution of a method, due to small acoustic window. Because of this the transthoracic visualization of coronary arteries perhaps will not become the leading method of anatomic reconstruction of separately taken coronary artery and especially all coronary arteries system. However uniqueness and indisputable advantage of this method is an opportunity to noninvasively estimate a coronary blood flow both once, and in dynamics.


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