Abstracts of the 10th Libyan Cardiac Society Congress, October 10–13, 2024, Misrata, Libya

Quality improvement in clinical laboratories is crucial to ensure accurate and reliable test results. With increasing awareness of the potential adverse effects of errors in laboratory practice on patient outcomes, the need for continual improvement of laboratory services cannot be overemphasized. A literature search was conducted on PubMed and a web of science core collection between October and February 2021 to evaluate the scientific literature quality of clinical laboratory quality improvement; only peer-reviewed articles written in English that met quality improvement criteria were included. A structured template was used to extract data, and the papers were rated on a scale of 0-16 using the Quality Improvement Minimum Quality Criteria Set (QI-MQCS). Out of 776 studies, 726 were evaluated for clinical laboratory literature quality analysis. Studies were analyzed according to the quality improvement and control methods and interventions, such as training, education, task force, and observation. Results showed that the average score of QI-MQCS for quality improvement papers from 1981-2000 was 2.5, while from 2001-2020, it was 6.8, indicating continuous high-quality improvement in the clinical laboratory sector. However, there is still room to establish a proper system to judge the quality of clinical laboratory literature and improve accreditation programs within the sector.

BackgroundParameterization of pediatric growth charts allows precise quantitation of growth metrics that would be difficult or impossible with traditional paper charts. However, limited availability of growth chart calculators for use by clinicians and clinical researchers currently restricts broader application.ObjectiveThe aim of this study was to assess the deployment of electronic calculators for growth charts using the lambda-mu-sigma (LMS) parameterization method, with examples of their utilization for patient care delivery, clinical research, and quality improvement projects.MethodsThe publicly accessible PediTools website of clinical calculators was developed to allow LMS-based calculations on anthropometric measurements of individual patients. Similar calculations were applied in a retrospective study of a population of patients from 7 Massachusetts neonatal intensive care units (NICUs) to compare interhospital growth outcomes (change in weight Z-score from birth to discharge [∆Z weight]) and their association with gestational age at birth. At 1 hospital, a bundle of quality improvement interventions targeting improved growth was implemented, and the outcomes were assessed prospectively via monitoring of ∆Z weight pre- and postintervention.ResultsThe PediTools website was launched in January 2012, and as of June 2019, it received over 500,000 page views per month, with users from over 21 countries. A retrospective analysis of 7975 patients at 7 Massachusetts NICUs, born between 2006 and 2011, at 23 to 34 completed weeks gestation identified an overall ∆Z weight from birth to discharge of –0.81 (P<.001). However, the degree of ∆Z weight differed significantly by hospital, ranging from –0.56 to –1.05 (P<.001). Also identified was the association between inferior growth outcomes and lower gestational age at birth, as well as that the degree of association between ∆Z weight and gestation at birth also differed by hospital. At 1 hospital, implementing a bundle of interventions targeting growth resulted in a significant and sustained reduction in loss of weight Z-score from birth to discharge.ConclusionsLMS-based anthropometric measurement calculation tools on a public website have been widely utilized. Application in a retrospective clinical study on a large dataset demonstrated inferior growth at lower gestational age and interhospital variation in growth outcomes. Change in weight Z-score has potential utility as an outcome measure for monitoring clinical quality improvement. We also announce the release of open-source computer code written in R to allow other clinicians and clinical researchers to easily perform similar analyses.

Regular expression-based learning to extract bodyweight values from clinical notes

Identification of those at risk of hereditary cancer syndromes using electronic health record (EHR) data sources is important for clinical care, quality improvement, and research. We describe diagnostic processes, previously seldom reported, for a common hereditary cancer syndrome, Lynch syndrome (LS), using EHR data within a community-based, multicenter, demographically diverse health system. Within a retrospective cohort enrolled between 2015 and 2020 at Kaiser Permanente Northern California, we assessed electronic diagnostic domains for LS including (1) family history of LS-associated cancer; (2) personal history of LS-associated cancer; (3) LS screening via mismatch repair deficiency (MMRD) testing of newly diagnosed malignancy; (4) germline genetic test results; and (5) clinician-entered diagnostic codes for LS. We calculated proportions and overlap for each diagnostic domain descriptively. Among 5.8 million individuals, (1) 28,492 (0.49%) had a family history of LS-associated cancer of whom 3,635 (13%) underwent genetic testing; (2) 100,046 (1.7%) had a personal history of a LS-associated cancer; and (3) 8,711 (0.1%) were diagnosed with colorectal cancer of whom 7,533 (86%) underwent MMRD screening and of the positive screens (486), 130 (27%) underwent germline testing. One thousand seven hundred and fifty-seven (0.03%) were diagnosed with endometrial cancer of whom 1,613 (92%) underwent MMRD screening and of the 195 who screened positive, 55 (28%) underwent genetic testing. (4) 30,790 (0.05%) had LS germline genetic testing with 707 (0.01%) testing positive; and (5) 1,273 (0.02%) had a clinician-entered diagnosis of LS. It is feasible to electronically characterize the diagnostic processes of LS. No single data source comprehensively identifies all LS carriers. There is underutilization of LS genetic testing for those eligible and underdiagnosis of LS. Our work informs similar efforts in other settings for hereditary cancer syndromes.

Canadian hospitals gather few emergency department (ED) data, and most cannot track their case mix, care processes, utilization or outcomes. A standard national ED data set would enhance clinical care, quality improvement and research at a local, regional and national level. The Canadian Association of Emergency Physicians, the National Emergency Nurses Affiliation and l'Association des médecins d'urgence du Québec established a joint working group whose objective was to develop a standard national ED data set that meets the information needs of Canadian EDs. The working group reviewed data elements derived from Australia's Victorian Emergency Minimum Dataset, the US Data Elements for Emergency Department Systems document, the Ontario Hospital Emergency Department Working Group data set and the Canadian Institute for Health Information's National Ambulatory Care Reporting System data set. By consensus, the group defined each element as mandatory, preferred or optional, and modified data definitions to increase their relevance to the ED context. The working group identified 69 mandatory elements, 5 preferred elements and 29 optional elements representing demographic, process, clinical and utilization measures. The Canadian Emergency Department Information System data set is a feasible, relevant ED data set developed by emergency physicians and nurses and tailored to the needs of Canadian EDs. If widely adopted, it represents an important step toward a national ED information system that will enable regional, provincial and national comparisons and enhance clinical care, quality improvement and research applications in both rural and urban settings.

Introduction:As detailed in the 2018 ACGME Common Program Requirements statement for fellowship institutions, “The physician is a humanistic scientist who cares for patients. This requires the ability to think critically, evaluate the literature, appropriately assimilate new knowledge, and practice lifelong learning.” Endocrinology fellowship programs are tasked with the expectation of creating an environment that fosters scholarly pursuit. It is under the discretion of each program to consider its institutional resources and community needs in order to meet this ACGME requirement.1With the goal of enhancing trainee scholarly activity, our fellowship program created a Scholarly Activity Curriculum in 2017. The core curriculum pillars include delineating a yearly timeline of objectives and expectations, facilitating regular individual mentoring, permitting allotment of protected time, and advocating involvement in faculty scholarship and national conferences.Objective:To assess the impact of the 2017 Endocrinology Fellowship Scholarly Activity Curriculum with respect to its ability to increase trainee scholarship.Methods:The scholarly activities of the fellowship classes of 2017-2020 were extracted from archived Fellow Scholarly Activity Update presentations and exit-interview curricula vitae. The activities were categorized as conference presentations (oral/poster), basic scientific research, clinical scientific research, quality improvement, book chapters, review articles, case reports, and teaching activities. With the 2017 and 2018 classes representing the pre-curriculum study group and the 2019 and 2020 classes representing the post-curriculum study group, the number of activities per study group per scholarly category were tabulated and compared.Results:An increase in scholarly activity was noted in five of the delineated categories: conference presentations (80%), clinical scientific research (86%), review articles (100%), case reports (100%), and teaching activities (38%). The remaining three categories of basic scientific research, quality improvement, and book chapters showed no change.Conclusions:The implementation of the 2017 Endocrinology Fellowship Scholarly Activity Curriculum was associated with a rise in trainee scholarly activity. Four of eight categories showed an 80% or more increase. Interestingly, the fellows involved in basic scientific research both pre and post-curriculum implementation were limited to those in the Specialty Training and Advanced Research (STAR) Program. Finally, identifying the need to increase involvement in quality improvement research, our program has implemented a 2019 Quality Improvement Curriculum.1Common Program Requirements (Fellowship). ACGME. https://www.acgme.org/What-We-Do/Accreditation/Common-Program-Requirements. 2018. Accessed Nov 2019.

IntroductionMeasurement-Based Care (MBC) is an emerging healthcare model with a number of potential advantages over traditional approaches for the treatment of substance use disorder (SUD). Despite SUD treatment programs being theoretically well suited for the implementation of MBC, its uptake has been minimal, which in turn limits further research, knowledge synthesis, and translation into clinical practice.ObjectivesThe goal of this knowledge synthesis project is to stimulate greater consideration of MBC models in addictions programs, with three interrelated objectives: 1. To summarize the existing evidence from research literature 2. To complement the literature findings with the data from our clinical research and quality improvement projects 3. To explore potential risks and difficulties of MBC implementation in the SUD treatment programsMethodsNarrative review. Knowledge synthesis.ResultsTo date, only two published randomized controlled trials, which along with the data from our pragmatic clinical research, support the wider implementation of MBC in the substance abuse treatment settings, but also indicate the high need for larger-scale clinical trials and quality improvement programs. Potential barriers to the implementation of MBC for SUD are outlined at the patient, provider, organization, and system levels, as well as challenges associated with the use of MBC programs for clinical research. Critical thinking considerations and risk mitigation strategies are offered toward advancing MBC for SUD beyond the current nascent state.ConclusionsThe state-of-the-art of MBC in SUD care settings reviewed and the strategies for further development from adminsitrative, clinical, and research prospectives outlined.DisclosureNo significant relationships.

Clinical audit, quality improvement and data quality

Severity grading system for acute allergic reactions—time for validation and assessment of best practices

BackgroundNational quality registries (NQRs) purportedly facilitate quality improvement, while neither the extent nor the mechanisms of such a relationship are fully known. The aim of this case study is to describe the experiences of local stakeholders to determine those elements that facilitate and hinder clinical quality improvement in relation to participation in a well-known and established NQR on stroke in Sweden.MethodsA strategic sample was drawn of 8 hospitals in 4 county councils, representing a variety of settings and outcomes according to the NQR’s criteria. Semi-structured telephone interviews were conducted with 25 managers, physicians in charge of the Riks-Stroke, and registered nurses registering local data at the hospitals. Interviews, including aspects of barriers and facilitators within the NQR and the local context, were analysed with content analysis.ResultsAn NQR can provide vital aspects for facilitating evidence-based practice, for example, local data drawn from national guidelines which can be used for comparisons over time within the organisation or with other hospitals. Major effort is required to ensure that data entries are accurate and valid, and thus the trustworthiness of local data output competes with resources needed for everyday clinical stroke care and quality improvement initiatives. Local stakeholders with knowledge of and interest in both the medical area (in this case stroke) and quality improvement can apply the NQR data to effectively initiate, carry out, and evaluate quality improvement, if supported by managers and co-workers, a common stroke care process and an operational management system that embraces and engages with the NQR data.ConclusionWhile quality registries are assumed to support adherence to evidence-based guidelines around the world, this study proposes that a NQR can facilitate improvement of care but neither the registry itself nor the reporting of data initiates quality improvement. Rather, the local and general evidence provided by the NQR must be considered relevant and must be applied in the local context. Further, the quality improvement process needs to be facilitated by stakeholders collaborating within and outside the context, who know how to initiate, perform, and evaluate quality improvement, and who have the resources to do so.

Electronic health record (EHR) data have great potential for reuse in research and patient care quality improvement initiatives. However, in dual systems, where both electronic and paper health records are used, inconsistencies and errors may occur. The objective of this study was to determine the degree of agreement between EHR clinical data and paper records for reuse in clinical oral health research and quality improvement initiatives. A random sample of 200 EHRs for adolescents from eight Area Health Services was obtained from the Information System for Oral Health New South Wales database of 29 599 records, and compared with 200 paper records for adolescents that were stored at clinics. The records were analysed for data reliability. The electronic records were percentage weighted to reflect the number of adolescents treated in each of the Area Health Services. The results showed an overall 95.0% agreement between the 200 individual EHRs and the 200 clinic-stored paper records. In 1.5% of cases, information contained in the paper record was not uploaded into the EHR, and in 3.5% of cases, information contained in the EHR was missing from the paper record. It is possible to conclude that more deficiencies occurred in paper records compared with EHRs. These deficiencies should be taken into account if EHRs are to be reused for clinical oral health research or quality improvement initiatives. Considering the missing data and the great strides in information system technology, it would be logical to adopt one system, with a focus on electronic records to replace the paper records.

The convergence of three major trends in medicine, namely conversion to electronic health records (EHRs), prioritization of translational research, and the need to control healthcare expenditures, has created unprecedented interest and opportunities to develop systems that improve care while reducing costs. However, operationalizing a 'learning health system' requires systematic changes that have not yet been widely demonstrated in clinical practice. We developed, implemented, and evaluated a model of EHR-supported care in a cohort of 131 children with cerebral palsy that integrated clinical care, quality improvement, and research, entitled 'Learn From Every Patient' (LFEP). Children treated in the LFEP Program for a 12-month period experienced a 43% reduction in total inpatient days (p=0.030 vs prior 12mo period), a 27% reduction in inpatient admissions, a 30% reduction in emergency department visits (p=0.001), and a 29% reduction in urgent care visits (p=0.046). LFEP Program implementation also resulted in reductions in healthcare costs of 210% (US$7014/child) versus a Time control group, and reductions of 176% ($6596/child) versus a Program Activities control group. Importantly, clinical implementation of the LFEP Program has also driven the continuous accumulation of robust research-quality data for both publication and implementation of evidence-based improvements in clinical care. These results demonstrate that a learning health system can be developed and implemented in a cost-effective manner, and can integrate clinical care and research to systematically drive simultaneous clinical quality improvement and reduced healthcare costs.

Background and Issues: Treatment decisions for patients experiencing acute ischemic stroke require complex imaging and evaluation. Specialized teams including Neurologists, pharmacists and CT technicians are alerted to the ED when a patient presents with signs or symptoms of acute ischemic stroke (AIS) to carry out these evaluations. At our facility, these alerts were delivered via a de-identified text message, preventing the collection of data needed for clinical effectiveness and quality improvement work. Purpose: This project's purpose was to improve the Stroke Alert process using Computerized Physician Order Entry (CPOE) to initiate the alert via a HIPAA Compliant Group Messaging (HCGM) application called Haiku. Methods: Haiku is an application available in the hospital’s electronic health record, which allows for retrieval of data unavailable when utilizing the de-identified alerting method. Data on 70 consecutive Stroke Alerts from 6 weeks prior to implementation of the Haiku Stroke Alert were compared to 80 consecutive Stroke Alerts 6 weeks after implementation. A comparison of Door to CT and Door to Needle times in those periods were also compared to ensure the new process did not cause any delays in these metrics. Results: Results showed the CPOE based Haiku Stroke Alert process was easily adopted and allowed for access to data necessary for clinical effectiveness and quality improvement work without causing delays in Door to CT (DTCT) or Door to Needle (DTN) times. Conclusions: In conclusion, this quality improvement project addressed the lack of data available to assess the Stroke Alert process. A new CPOE based alert process utilizing the HCGM app Haiku proved feasible, received positive feed-back from ED team who initiates the alert and the Neurology resident team who receives the alert. The Haiku alert did not appreciably add time to the DTCT or DTN times. This process allows access to comprehensive data that can be used to explore other avenues to improve the hyperacute phase of AIS triage and treatment. The availability of robust Stroke Alert data was the missing foundational element allowing for clinical effectiveness and quality improvement work.

Purpose This article is intended to serve as a tutorial for speech-language pathology and audiology clinicians and researchers interested in pursuing quality improvement (QI) practice and research. Method Through a number of library database searches, author expertise, and first-hand experiences, we compiled this reference covering the history and landscape of clinical QI practice and QI research. We have included and explained definitions of QI activities and provided an overview of models and methods utilized in the implementation of QI programs. Drawing from scholarly literature on the QI process, we have included tools that should be useful for those clinicians and researchers pursuing QI projects. This article includes some examples of QI projects specific to speech-language pathology and audiology. One highlighted example examined a hospital process of identifying newly admitted patients at risk for communication breakdowns during patient–provider information exchange. Benefits and opportunities associated with QI activities are addressed, as well as barriers and facilitators. Conclusion QI practices and QI research are well within the scope of activities in which speech-language pathologists and audiologists should be engaged. QI is now recognized as a legitimate source of new knowledge and a direct route to improving outcomes and delivery of patient care across clinical settings.

BackgroundEngaging residents in meaningful quality improvement (QI) is difficult. Challenges include competing demands, didactics which lack connection to meaningful work, suboptimal experiential learning, unclear accountability, absence of timely and relevant data, and lack of faculty coaches and role models. Various strategies to address these challenges for engagement have been described, but not as a unified approach. This paper describes a bundle of practical strategies to address common challenges to resident engagement in QI, illustrated through the experience of one residency education program.Methods62 categorical residents in the University of Missouri Internal Medicine residency participated in a longitudinal QI curriculum integrated into residency clinic assignments with dedicated QI work sessions and brief just-in-time didactics with mentorship from faculty coaches. Residents completed at least two PDSA (Plan-Do-Study-Act) cycles for their projects. The experience included clear expectations and tools for accountability. Project criteria included importance to patients, residents, and the institution. Residents had access to data related to their own practice. A pre-post survey asked residents to self-assess their level of interest and engagement in QI on a 5-point Likert scale, with 1 = least desired and 5 = most desired result. Data were analyzed by paired t-test.ResultsAll 62 residents participated in the program as members of ten QI teams. 40/62 residents completed both pre- and post-surveys. Items related to self-assessment of QI in clinical work all changed in the desired direction: likelihood of participation (3.7 to 4.1, p = 0.03), frequency of QI use (3.3 to 3.9, p = 0.001), and opinion about using QI in clinical work (3.9 to 4.0, p = 0.21). Resident assessment of QI priority in clinical work did not change.ConclusionsWe implemented a practical strategies bundle to overcome common challenges to successfully engaging residents in clinical quality improvement. These strategies included QI work integrated into routine clinical assignments, just-in-time didactics, experiential learning with clear expectations and strategic project selection, timely and pertinent data from the residents’ own practice, and real-time faculty coaching.