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Coronavirus disease 2019(COVID-19) poses a challenge to hospitals for the prevention and control of public health emergencies. As the main battlefield of preventing and controlling COVID-19, large public hospitals should develop service protocols of diagnosis and treatment for outpatient, emergency, hospitalization, surgery, and discharge. The construction of medical protocols should be based on the risk factors of key points and focused on pre-inspection triage and screening, to establish a rapid response mechanism to deal with exogenous and endogenous risk factors. Implementation of all-staff training and assessment, strengthening the information system, and use of medical internet service are important. This study explores the construction of medical protocols in large public hospitals during the pandemic, and provides a reference for the orderly diagnosis and treatment in hospitals during the pandemic.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.
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Background: Stratified care aims at matching the intensity and setting of mental health interventions to the needs of help-seeking Young People. In Australia, a 5-tiered system of mental health services is in operation. To aid patient triage to the most appropriate tier, a Decision Support Tool (DST) has been developed and is being rolled out nationally Methods: We analysed outcome data pre-and post-enrolment of about 1500 Young People (aged 16-25) referred to a Youth Mental Health Service delivering medium- and high intensity psychological treatment programs (tiers 3 and 4). We compared outcomes in both tiers during three 12-month periods: (a) in the inaugural phase of tier 4, prior to service saturation and stringent triaging, and prior to the COVID-19 pandemic (2019);(b) during the COVID-19 pandemic when all services were delivered remotely over phone- and video facilities, and when DST triaging was introduced (2020);(c) following return of face-to-face consultations, in a situation of service saturation and stringent DST triaging (2021) Findings: About 22% of Young People in the tier 3 program experienced reliable improvement according to their Kessler-10 (K-10) scale ratings, regardless of changing circumstances. In contrast, 40% of people in the tier 4 program reliably improved during the inaugural phase When circumstances and service delivery changed (COVID-19 restrictions service saturation, DST triaging), the rate of reliable improvement halved to about 20% Conclusion(s): Access to higher intensity psychological programs improves treatment outcomes for help-seeking Young People. However high-intensity services are more sensitive to external and service factors than less intense treatment models.
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INTRODUCTION: Obesity is a high cause of death in both non-communicable and communicable diseases such as COVID-19. The aim of this study is to increase the awareness of emergency department (ED) managers and employees about this problem by showing obesity rates according to triage level in patients admitted to the ED. MATERIAL AND METHODS: BMI levels and complaints of 1246 patients admitted to the ED according to the 3-level triage were re-evaluated with the 5-level ESI (Emergency Severity Index) triage for this study. RESULTS: The mean BMI of 1246 patients was found to be 27.25 ± 5.88 (overweight). 26% of the ED patients were found to be obese and 37.7% of them were overweight. While the mean BMI score of the 6-11 age group was found to be class 1 obesity, the other pediatric and adult age groups were found to be overweight. The highest mean BMI according to both the 3-stage triage system and the 5-stage ESI triage system was found in triage 1 patients (28.8011 ± 7.98;28.18 ± 6.78, respectively). Obese patients mostly applied to the ED with orthopedic problems and trauma (26.5%). Also, of the patients with class 3 severe obesity, 50% presented with trauma. CONCLUSIONS: The higher the BMI, the higher the triage severity level. BMI levels should be evaluated in the field of triage together with vital signs, especially in trauma patients, and obesity should be considered in ED and hospital management. Copyright © 2023 Via Medica.
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Background: Easy availability, low cost, and low radiation exposure make chest radiography an ideal modality for coronavirus disease 2019 (COVID-19) detection. Objective(s): In this study, we propose the use of an artificial intelligence (AI) algorithm to automatically detect abnormalities associated with COVID-19 on chest radiographs. We aimed to evaluate the performance of the algorithm against the interpretation of radiologists to assess its utility as a COVID-19 triage tool. Material(s) and Method(s): The study was conducted in collaboration with Kaushalya Medical Trust Foundation Hospital, Thane, Maharashtra, between July and August 2020. We used a collection of public and private datasets to train our AI models. Specificity and sensitivity measures were used to assess the performance of the AI algorithm by comparing AI and radiology predictions using the result of the reverse transcriptase-polymerase chain reaction as reference. We also compared the existing open-source AI algorithms with our method using our private dataset to ascertain the reliability of our algorithm. Result(s): We evaluated 611 scans for semantic and non-semantic features. Our algorithm showed a sensitivity of 77.7% and a specificity of 75.4%. Our AI algorithm performed better than the radiologists who showed a sensitivity of 75.9% and specificity of 75.4%. The open-source model on the same dataset showed a large disparity in performance measures with a specificity of 46.5% and sensitivity of 91.8%, thus confirming the reliability of our approach. Conclusion(s): Our AI algorithm can aid radiologists in confirming the findings of COVID-19 pneumonia on chest radiography and identifying additional abnormalities and can be used as an assistive and complementary first-line COVID-19 triage tool.Copyright © Cancer Research, Statistics, and Treatment.
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The COVID-19 pandemic put a large burden on many healthcare systems, causing fears about resource scarcity and triage. Several COVID-19 guidelines included age as an explicit factor and practices of both triage and 'anticipatory triage' likely limited access to hospital care for elderly patients, especially those in care homes. To ensure the legitimacy of triage guidelines, which affect the public, it is important to engage the public's moral intuitions. Our study aimed to explore general public views in the UK on the role of age, and related factors like frailty and quality of life, in triage during the COVID-19 pandemic. We held online deliberative workshops with members of the general public (n = 22). Participants were guided through a deliberative process to maximise eliciting informed and considered preferences. Participants generally accepted the need for triage but strongly rejected 'fair innings' and 'life projects' principles as justifications for age-based allocation. They were also wary of the 'maximise life-years' principle, preferring to maximise the number of lives rather than life years saved. Although they did not arrive at a unified recommendation of one principle, a concern for three core principles and values eventually emerged: equality, efficiency and vulnerability. While these remain difficult to fully respect at once, they captured a considered, multifaceted consensus: utilitarian considerations of efficiency should be tempered with a concern for equality and vulnerability. This 'triad' of ethical principles may be a useful structure to guide ethical deliberation as societies negotiate the conflicting ethical demands of triage. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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Background: Ever since the beginning of the COVID-19 pandemic, physicians started investigating the clinical features and lab markers that can assist in predicting the outcome among hospitalized COVID-19 patients. Aim(s): This study aimed to investigate the association between initial chest CT scan findings and adverse outcomes of COVID-19. Material(s) and Method(s): This was a single centre;hospital (inpatient) based prospective cohort study involving 497 COVID-19 patients admitted to the hospital. The adverse outcome included death and mechanical ventilation. We collected data about 14 identifiable parameters available for the HRCT scan. Result(s): Among 14 studied parameters, only 8 features differed significantly among the patients who had favourable and unfavourable outcomes. These features included number of lobes of lungs involved (3 versus 5, p = 0.008), CT Severity score (16 versus 20, p = 0.004), air bronchogram (p=0.003), crazy paving (p=0.029), consolidation (p=0.021), and pleural effusion (p=0.026). We observed that high CT scores coupled with the diffuse distribution of lung lesions were responsible for poor prognosis in most patients. Conclusion(s): Several features of HRCT when combined can accurately predict adverse outcomes among participants and help in triaging the patient for admission in ICU.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.
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In December 2022, the Council of Experts was held. It purpose was to determine the place of virus-neutralizing monoclonal antibodies (NMA) in the ethiotropic treatment of COVID-19 in vulnerable categories of patients. The main issues were identified and their solutions were proposed. At the first visit of pregnant women due to COVID-19, proactive identification of risk factors and early prescription of NMA are recommended, preferably - with published safety data in this category of patients (casirivimab + imdevimab). In patients with oncological and other chronic (rheumatology, pulmonology, gastroenterology) diseases, prophylactic use of NMA is recommended. regardless of the severity of the disease. For patients with chronic pathology regardless of the severity of the disease an early prescription of ethiotropic therapy must be provided, combating the long-term circulation of the virus. To solve the problem of late treatment prescription, it is necessary to: use rapid tests, prescribe NMA if indicated, even if the patient presents late, introduce digital technologies to transfer information about COVID-19 cases between healthcare institutions (HI), create call centers for primary triage of patients, daily hospitals to reduce the burden on the HI. The issue of NMA using related to changes in their activity against new variants of SARS-CoV-2 remains relevant. Among the proposed solutions are: priority of indications over information about the activity of NMA, the diversification of the choice of NMA in HI, taking into account clinical experience, indications for use and prognosis of NMA activity, the use of combined forms of NMA (for example, casirivimab + imdevimab) or a combination of NMA with other means of ethiotropic therapy.Copyright © 2023, Dynasty Publishing House. All rights reserved.
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PURPOSE: With the onset of the COVID pandemic in Germany in March 2020, far-reaching restrictions were imposed that limited medical access for patients. Screening examinations such as colonoscopies were greatly reduced in number. As rapid surgical triage after diagnosis is prognostic, our hypothesis was that pandemic-related delays would increase the proportion of advanced colon cancers with an overall sicker patient population. METHODS: A total of 204 patients with initial diagnosis of colon cancer were analyzed in this retrospective single-center study between 03/01/2018 and 03/01/2022. Control group (111 patients, pre-COVID-19) and the study group (93 patients, during COVID-19) were compared in terms of tumor stages, surgical therapy, complications, and delays in the clinical setting. The data were presented either as absolute numbers or as median for constant data. RESULTS: A trend towards more advanced tumor stages (T4a p = 0.067) and a significant increase of emergency surgeries (p = 0.016) with higher rates of ileus and perforation (p = 0.004) as well as discontinuity resections (p = 0.049) during the pandemic could be observed. Delays in surgical triage after endoscopic diagnosis were seen during the 2nd lockdown (02/11/20-26/12/20; p = 0.031). CONCLUSION: In summary, the results suggest delayed treatment during the COVID-19 pandemic, with the infection pattern of COVID appearing to have a major impact on the time between endoscopic diagnosis and surgical triage/surgery. Adequate care of colon cancer patients is possible even during a pandemic, but it is important to focus on structured screening and tight diagnosis to treatment schedules in order to prevent secondary pandemic victims.
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COVID-19 , Colonic Neoplasms , Humans , COVID-19/epidemiology , Pandemics , SARS-CoV-2 , Triage/methods , Retrospective Studies , Communicable Disease Control , Colonic Neoplasms/epidemiology , Colonic Neoplasms/surgeryABSTRACT
Potential aerosols containing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral particles can be generated during dental treatment. Hence, patient triage is essential to prevent the spread of SARS-CoV-2 in dental clinical settings. The present study described the use of rapid antigen tests for SARS-CoV-2 screening prior to dental treatment in an academic dental clinical setting in Thailand during the pandemic. The opinions of dental personnel toward the use of rapid antigen test screening prior to dental treatment were also assessed. From August 25 to October 3, 2021, dental patients who were expected to receive aerosols generating dental procedures were requested to screen for SARS-CoV-2 using a rapid antigen test before their treatment. A total of 7,618 cases completed the screening process. The average was 212 cases per day. Only five patients (0.07%) were positive for SARS-CoV-2 in the rapid antigen screening tests. All positive cases exhibited mild symptoms. For the questionnaire study, experienced dental personnel frequently and consistently agreed with the use of the rapid antigen test for SARS-CoV-2 screening, which made them feel safer during their patient treatment. However, implementing rapid antigen tests for SARS-CoV-2 may increase the total time spent on a dental appointment. In conclusion, a rapid antigen test could detect the infected individual prior to dental treatment. However, the specificity of rapid antigen tests for SARS-CoV-2 must be taken into account for consideration as a screening process before dental treatment. The enhanced infection control protocols in dental treatment must be consistently implemented.
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BACKGROUND: In the context of a deepening global shortage of health workers and, in particular, the COVID-19 pandemic, there is growing international interest in, and use of, online symptom checkers (OSCs). However, the evidence surrounding the triage and diagnostic accuracy of these tools remains inconclusive. OBJECTIVE: This systematic review aimed to summarize the existing peer-reviewed literature evaluating the triage accuracy (directing users to appropriate services based on their presenting symptoms) and diagnostic accuracy of OSCs aimed at lay users for general health concerns. METHODS: Searches were conducted in MEDLINE, Embase, CINAHL, Health Management Information Consortium (HMIC), and Web of Science, as well as the citations of the studies selected for full-text screening. We included peer-reviewed studies published in English between January 1, 2010, and February 16, 2022, with a controlled and quantitative assessment of either or both triage and diagnostic accuracy of OSCs directed at lay users. We excluded tools supporting health care professionals, as well as disease- or specialty-specific OSCs. Screening and data extraction were carried out independently by 2 reviewers for each study. We performed a descriptive narrative synthesis. RESULTS: A total of 21,296 studies were identified, of which 14 (0.07%) were included. The included studies used clinical vignettes, medical records, or direct input by patients. Of the 14 studies, 6 (43%) reported on triage and diagnostic accuracy, 7 (50%) focused on triage accuracy, and 1 (7%) focused on diagnostic accuracy. These outcomes were assessed based on the diagnostic and triage recommendations attached to the vignette in the case of vignette studies or on those provided by nurses or general practitioners, including through face-to-face and telephone consultations. Both diagnostic accuracy and triage accuracy varied greatly among OSCs. Overall diagnostic accuracy was deemed to be low and was almost always lower than that of the comparator. Similarly, most of the studies (9/13, 69 %) showed suboptimal triage accuracy overall, with a few exceptions (4/13, 31%). The main variables affecting the levels of diagnostic and triage accuracy were the severity and urgency of the condition, the use of artificial intelligence algorithms, and demographic questions. However, the impact of each variable differed across tools and studies, making it difficult to draw any solid conclusions. All included studies had at least one area with unclear risk of bias according to the revised Quality Assessment of Diagnostic Accuracy Studies-2 tool. CONCLUSIONS: Although OSCs have potential to provide accessible and accurate health advice and triage recommendations to users, more research is needed to validate their triage and diagnostic accuracy before widescale adoption in community and health care settings. Future studies should aim to use a common methodology and agreed standard for evaluation to facilitate objective benchmarking and validation. TRIAL REGISTRATION: PROSPERO CRD42020215210; https://tinyurl.com/3949zw83.
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COVID-19 , Triage , Humans , Triage/methods , Artificial Intelligence , COVID-19/diagnosis , Pandemics , Algorithms , COVID-19 TestingABSTRACT
INTRODUCTION: Chest X-rays are commonly used to assess the severity in patients that present in the emergency department with suspected COVID-19 pneumonia, but in clinical practice quantitative scales are rarely employed. AIMS: To evaluate the reliability and validity of two semi-quantitative radiological scales in patients hospitalized for COVID-19 pneumonia (BRIXIA score and RALE score). METHODS: Patients hospitalized between October 2021 and March 2022 with confirmed COVID-19 pneumonia diagnosis were eligible for inclusion. All included patients had a chest X-ray taken in the ED before admission. Three raters that participated in the treatment and management of patients with COVID-19 during the pandemic independently assessed chest X-rays. RESULTS: Intraclass coefficients for BRIXΙA and RALES was 0.781 (0.729-0.826) and 0.825 (0.781-0.862) respectively, showing good to excellent reliability overall. Pairwise analysis was performed using quadratic weighted kappa showing significant variability in the inter-rater agreement. The prognostic accuracy of the two scores for in-hospital mortality for all raters was between 0.753 and 0.763 for BRIXIA and 0.737 and 0.790 for RALES, demonstrating good to excellent prognostic value. Both radiological scores were significantly associated with inhospital mortality after adjustment for 4C Mortality score. We found a consistent upwards trend with significant differences between severity groups in both radiological scores. CONCLUSION: Our findings suggest that BRIXIA and RALES are reliable and can be used to assess the prognosis of patients with COVID-19 requiring hospitalization. However, the inherent subjectivity of radiological scores might make it difficult to set a cut-off value suitable for all assessors.
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[This corrects the article DOI: 10.3389/fimmu.2022.850846.].
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Background/Aims Rheumatology referrals classified as non-urgent/routine are commonly non-inflammatory conditions or medically non-urgent and can have significant waiting times for appointments. These waits were further escalated by the COVID-19 pandemic. Early intervention for noninflammatory conditions can be crucial to good outcomes and long wait-times can have significant adverse impacts while appropriate care pathways are determined. Recent UK GIRFT recommendations include using non-medical health professional expertise in assessment and management pathways to support right place, right time, right care. This study evaluated effectiveness, impacts and patient experiences of Advanced Practice Physiotherapist (APP) and Advanced Practice Nurse (APN) Triage and Assessment Clinics for routine new referrals. Methods The non-urgent/routine referral waiting list was e-triaged by a Rheumatology APP and APN supported by clinical record searches. Patients were contacted by telephone to update on clinical status and appointment requirements determined. Triage criteria were applied to determine new referrals suitable for APP and APN Rheumatology clinics, which included low likelihood of inflammatory disease or new referrals for known diagnosis/stable conditions. Clinics were undertaken with collocated Consultant clinical supervision. Assessment findings were discussed and management agreed, or seen if needed. With waiting list attrition, clinics were expanded to include Consultantdetermined stable condition reviews and follow-up reviews for nonsuspected inflammatory disease. Results At 01 July 2021, 214 new routine referrals were waiting a Consultant appointment (n=103 over 2yrs). Since service initiation, clinic outcomes to date include: 69% (n=243/358) new routine referrals discharged to GP or directed to right pathway with information, advice and self-management resources;8% (n=29) escalated to urgent;3% (11/358) with medical complexity remained on Consultant waitlist. Most common presentations seen included: Osteoarthritis (general or hand);Back and other spinal pain;Fibromyalgia;Persistent Fatigue and Widespread Pain;JHS/hEDS;Positive ANA without clinical features;Musculoskeletal conditions- other. To date, no patients have been re-referred and 329 new patient and 89 follow-up Consultant direct consultations have been spared. There is currently no wait-time for non-urgent/routine appointments. Patient experience feedback on the service has offered a 100% recommendation to continue and expressed highly positive experiences with the MDT approach. Patients value the breadth of expertise and care support, and the timely, thorough and professional service provided. Conclusion Rheumatology non-urgent/routine new referrals with low probability of underlying autoimmune conditions may be effectively and efficiently managed in a collaborative model using an advanced practice physiotherapist and nurse. This innovation has expanded a traditionally medical pathway to an MDT model utilising value-adding nonmedical expertise in service delivery. It has enhanced interdisciplinary learning and is a valued, collaborative approach to patient care. The initiative provides support to GIRFT recommendations of using an MDT skill-set to support improved patient access, service efficiencies and earlier intervention.
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Background/Aims During the COVID-19 pandemic we were unable to provide regular outpatient services for patients with chronic rheumatic diseases. A ''backlog'' of 6812 patients without an allocated follow-up appointment accrued by September 2021. We quantified this cohort and analysed attempts to deliver care remotely (using video, telephone, and electronic remote management forms (RMFs)). Methods We selected a 12-month ''window'' (May 2020-May 2021) and analysed the number of patients awaiting follow-up during this period. This was initially 3259 patients out of the total backlog 6812. We revisited the number of patients remaining in that cohort on four occasions between September 2021 and September 2022: at baseline, then at 1-, 2-, 6- and 12-month intervals. Each audit cycle was conducted using the same methodology. Alongside usual follow up pathways, (face to face, video or telephone), we implemented remote management forms (RMFs) for different disease groups which were designed by the department;they contained a triage questionnaire, including calculation of disease severity scores, and questions about medications. These were sent out by clinicians to some patients in lieu of a telephone, video or face to face appointments. Data from RMFs was stored in a secure database for clinician review. Data analysis performed in Microsoft Excel and R (version 4.2.1). Results The number of patients without allocated follow-up appointments reduced from 3259 to 326 between Sep-21 and Sep-22. This is a 90% reduction in the backlog over a 12-month period, with a 71% reduction achieved by 6 months. There was a significant, progressive reduction in the number of patients over time (p<0.001 - Chi-square test for trend). Of the 1956 RMFs completed between Sep-21 - Mar-22, only 261 patients recorded a previous appointment date. 154/261 (59%) were completed by patients waiting in the ''window'' of May-20 - May- 21. This indicates a preferential use of RMFs targeting backlog patients. Between 2-8% of the total backlog patients were managed using RMFs based on available data. Conclusion We have significantly reduced the size of our backlog of outpatient follow-up due to COVID-19 over a 12-month period. In-addition these results likely underestimate the effect of RMFs due to this dataset being incomplete. Remote management made a sizeable contribution to this reduction, meaning some of this reduction was achieved without face-to-face encounters. The use of 1956 forms over a 6- month period shows robust integration of our RMFs into outpatient services disrupted by COVID-19 and provides evidence for remote management as a useful tool in outpatient management, with relevance to areas such as Patient Initiated Follow Up pathways. Further work is needed to clarify where remote management is best deployed and which patient groups benefit most from this.
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Background/Aims The COVID-19 pandemic has placed unprecedented pressures on NHS departments, with demand rapidly outstripping capacity. The British Society for Rheumatology 'Rheumatology Workforce: a crisis in numbers (2021)' highlighted the need to provide innovative ways of delivering rheumatology specialist care. At University College London Hospitals (UCLH) we created a rheumatology multidisciplinary team (MDT) clinic to meet rising demands on our service. The aims of the Rheumatology MDT clinic were to: reduce new appointment/follow-up waiting times, increase clinic capacity, incorporate musculoskeletal (MSK) point of care ultrasound, reduce number of hospital visits and add value to each clinic encounter. Methods We ran a 6-month pilot, supported by our outpatient transformation team, incorporating a Rheumatology Advanced Practice Physiotherapist (APP), Clinical Nurse Specialist (CNS) and MSK ultrasound within a Consultant clinic. The success of the pilot helped secure funding for a further 12 months. Over 18 months we have implemented: APP/Consultant enhanced triage - up to 40% of referrals were appropriate for APP assessment, including regional MSK problems and back pain. This increased capacity for consultant-led appointments. Standardisation of time-lapse between CNS and consultant follow-up appointments to ensure appropriate spacing between patient encounters. Facilitated overbooking of urgent cases afforded by additional capacity provided by the APP. MSK ultrasound embedded in the clinic template. 'Zoom' patient education webinars facilitated by MDT members and wider disciplines e.g. dietetics, to empower self-management and reduce the administrative burden of patient emails/phone calls occurring outside the clinic. Patient participation sessions and feedback to help shape the service. Results During the 6-month pilot we reduced our waiting time for follow-up appointments from 9 months to 2. We now have capacity to book 1-2 urgent cases each week. Pre-MDT the average wait from consultant referral to physiotherapist appointment was 55 days. The MDT allows for same day assessment (reducing 2-3 patient journeys a clinic) and where suitable, facilitates discharge or onwards referral to the appropriate service. A dedicated MDT CNS has shortened treatment times, reduced email traffic between CNS and consultant and allows for same day, joint decision-making resulting in fewer appointments. Zoom webinar feedback has been positive. Patients value the broad expertise of allied health professionals which supports self-management. Embedding ultrasound allows for same day diagnostics, decreased referrals to radiology and reduced hospital visits. Conclusion Our MDT model has reduced waiting lists, decreased treatment delays and cut hospital attendances. Point of care ultrasound allows for same day decision making and abolishes the cost and diagnostic delay associated with referrals to radiology or outsourced providers. Shared decision-making adds value to outpatient attendances, which is reflected in patients' positive feedback. The MDT model maximises the existing workforce skill set by enhancing the APP and CNS role, allowing patients immediate access to their expertise.
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Background/Aims Advice lines services (ALS) are a key aspect of providing coordinated patient care in rheumatology. Demand for rapid access to specialist advice increased during the pandemic due to the disruption of routine outpatient services but it is not clear whether this demand is sustained. We aimed to investigate the changes in demand for ALS, how this varied pre/during COVID-19 and audit the effect upon response times. We also aimed to assess the impact of introducing an email advice service on demand. Methods We audited the number of advice line contacts of a single rheumatology department, serving a population of 500,000 people. The telephone adviceline is provided as an answer machine with an email advice service set up in April 2020. The outcome of each contact is recorded as a) advice only b) action required (e.g., prescription, blood test, GP letter) or c) required appointment (monitor/nurse/ medical). We audited response times using the RCN guidelines of a two-day response1 as the gold standard. Results Demand for advice had been increasing pre-COVID with an average of 368 calls/month (1/1/19-1/7/19) to 420/month (1/7/19-31/12/19). Sixty percent were advice only calls but 27% required additional action. Response times met the audit standard in 97% of cases pre-COVID. During the first two months of COVID demand for advice services doubled, however demand continued to rise although outcomes were similar (Table 1). As the number of contacts increased the proportion of telephone contacts responded to within the audit standard fell. Numbers of email contacts were variable, but response times exceeded the audit standard. Conclusion This audit demonstrates the demand of adviceline services has continued to increase throughout the pandemic and beyond, impacting the ability of services to respond within a timely manner. Ongoing QI work is assessing mechanisms to manage increased demand (using healthcare support workers to triage calls) and investigating reasons for accessing ALS to ensure appropriate advice is available. (Table Presented).
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Background/Aims Long Rheumatology waiting lists in the UK were further affected by the COVID-19 pandemic;resulting in negative impacts upon the timeliness and efficiency of patient care. The use of Advanced Practitioners within Rheumatology care pathways has been shown to be safe and effective;they can support the Rheumatology workforce and expedite care where patients are appropriately triaged to them. As part of a service provision change in a NHS Trust, an Advanced Practice Physiotherapist (APP) post was funded with the intent to harness these benefits. Initial utilisation of the APP appointments within the Rheumatology provision was found to be low and could be improved. A Quality Improvement (QI) Project was initiated, with the aim to increase APP appointment utilisation to at least 85% over a period of four months, and for at least 75% of these appointments to contain patients who had been appropriately triaged. Methods The 'Model for Improvement' was chosen as the QI approach. The project was led by an APP. Firstly, a stakeholder analysis was performed to identify staff with influence and interest in the project. A root cause analysis found lack of awareness of triaging clinicians and challenges with booking processes as potential reasons for lowerthan- expected appointment utilisation. Change interventions were devised and tested over three Plan, Do, Study, Act (PDSA) cycles. PDSA one developed communication with booking and triage staff to clarify these processes with them. PDSA two educated clinical staff about the APP role, triage criteria and the booking procedures confirmed in PDSA one. PDSA three focused upon sustaining change by reinforcement of the topics established in PDSA two among staff. Outcome measures used were the percentage of available APP appointments utilised per week, and the percentage of these which contained patients who were appropriately triaged. Results APP appointment utilisation increased from a mean of 22% pre-project to 61% during the change intervention period. Sixty-three patients were seen over the 17-week change intervention period;of which 86% had been appropriately triaged. Data showed that 70% of the patients directed to the APP were managed by them (24% discharged and 46% reviewed). Of the remaining patients, 13% were followed up by a Rheumatologist, 12% did not attend and 5% had an alternative outcome such as awaiting advice. Conclusion This QI project led to an improvement in Rheumatology care provision locally. Engagement with support staff, education of clinical staff and implementation of clear standard operating procedures improved the utilisation of the Rheumatology APP resource. Results suggest that the APP role was effective locally in managing appropriately triaged patients, without a negative effect on patient care or other services. Continuing to improve utilisation will support management of the Rheumatology waiting list and improve patient care.
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Intro: COVID-19 pandemic era makes quality of obstetric triage care including caesarean section in obstetric true emergency cases delayed. Maternal fetal triage index (MFTI) score is an instrument used to define true emergency in obstetric cases. Decision to delivery interval (DDI) is time interval from caesarean section decision to delivery within <30 minutes standard in emergency cases.This study was designed to evaluate the decision to delivery time interval and its effect on perinatal outcomes and the associated factors during category-1 emergency caesarean section deliveries. Method(s): A prospective observational descriptive study was conducted from 2020-2022 at Kariadi tertiary Hospital. A total of 40 clients who were undergone category-1 emergency caesarean section were included in this study. This is a indepht analysis pregnant women confirmed with COVID-19 infection and had true emergency cases based on MFTI score (stat-priority 1). Finding(s): Among 346 pregnant women with COVID-19, total 160 C-section cases with 40 eligible data were included in this study. Gestational age mostly in their second and third trimester. Maternal comorbidities were diabetes in pregnancy, HIV, pre eclampsia, SLE and thyroid disease. This study showed that DDI <30 minutes were found in 34 cases (85%), DDI 30-60 minutes as many as 6 (15%), and no (0%) DDI >60 minutes. Emergency cases with the shortest DDI were umbilical cord prolapse 3 (100%), fetal distress 14 (93%), placental abruption 5 (83%), impending uterine rupture 5 (83%), and antepartum hemorrhage 7 (70%). Perinatal outcome were Apgar score lower than 7 at 1 minutes (25%) and stillbirth (5%). Conclusion(s): Most of DDI in this study met the recommendation of <30 minutes, but some cases did not meet the standard. This can be caused by multifactorial factors such as advice from the doctor in charge, patient transfer distance, operating room preparation, and anesthetic preparation due to COVID-19.Copyright © 2023