Bibliographic record
Abstract
In Emergency Medicine Australasia vol 23 iss 1,1 the article ‘From Other Journals’ was misleading in layout due to a typesetting error. The publisher apologizes for this error. The correct format should be as follows. Please note there has been a reference correction in the section ‘Factors associated with procedural sedation complications’: From Other Journals Most EDs suffer from periods of overcrowding, and this can lead to lengthy delays in ambulance offload times, which in turn affects the timeliness of response for prehospital emergencies. The present paper reports on the effects that a regional dashboard can have on individual ED capacity. The dashboard took real-time information from all three tertiary EDs in a single Canadian city. ED capacity thresholds were developed individually for the three EDs, taking into account numbers of resuscitation patients, boarded patients, patients in waiting room and expected ambulance arrivals. Each ED then had a capacity represented by a colour code – green/yellow (favourable) or orange/red (unfavourable). Central dispatch had the status of all three EDs and ambulances were advised to avoid the most overcrowded ED. Bypass (again with pre-defined criteria) remained an option. The authors presented before and after results in three 6-month blocks. Comparing April to September for the year before, with the same period the year after showed that overall attendances increased, as did ambulance arrivals. Triage acuity was similar, as was the proportion of patients aged over 65 years. However, the proportion of time that the EDs were green/yellow increased from 58% to 79%. The number of hours of bypass fell from 198 to 27. Clearly there might have been other factors affecting ED capacity over this period that were not described or accounted for. Although the cost of implementing this relatively simple programme was not detailed, given the significant clinical and political issues around delays in ambulance offloads, stretched prehospital dispatch centres should investigate this programme. (McLeod B. Acad. Emerg. Med. 2010; 17: 1383–9) Despite some ill-informed and misleading comments about low-acuity patients, ED overcrowding principally results from the inability of admitted patients to be transferred to ward beds in a timely manner. Most experts agree that a greater inpatient capacity is required in order to relieve access block and decrease ED overcrowding. The present paper examines the potential effect of changing inpatient culture and work processes (i.e. more timely discharges) on ED overcrowding. Using real data from a single month at a single hospital, a computer model was developed to examine the relationship between admissions, discharges and ED overcrowding (number of hours admitted patients waited in ED before transfer to an inpatient bed). Ward admissions were those via ED and elective surgery (i.e. from recovery), and those patients discharged to a ward from ICU. For simplicity, the model assumed that all wards could take any patient. Discharge times were recorded for all patients discharged home from the wards. For the reference month there was a daily average of 39 admissions from the ED, 23 surgical admissions and 20 discharges from ICU. Each ED patient waited an average 2.6 h for an inpatient bed – a total of 81 h of ED boarding time each day. Using the model, moving discharges forward by 1 h decreased total ED boarding time by 40%, and moving it forward 3 h decreased ED boarding time to a total of 1 h. A ‘Discharge by Noon’ policy (75% of all discharges by noon) decreased ED boarding to just 3 h. A ‘Dayshift Uniform Discharge’ policy (all discharges evenly throughout period 0800–1600) also reduced total ED boarding time to 3 h. Most large hospitals have a significant number of staff employed to count things. It would seem sensible that readers now ask their own hospitals to record the time of discharge from inpatient beds. Significant improvements in bed access are likely if the time of discharge of inpatients can be brought forward – by even just 1 h. (Powell ES. J. Emerg. Med. 2010. Epub. [Cited 1 December 2010.] Available from URL: http://dx.doi.org/10.1016/j.jemermed.2010.06.028) ED overcrowding is a significant problem for ED patients, ED staff and the community. The two papers above demonstrate that there are simple things that can be implemented which might have significant impacts on patient flow. Whereas each hospital could claim to be different from those mentioned in the studies, there are likely to be more similarities than differences. This prospective randomized blinded trial examined which clinical method best identified endobronchial intubation in elective surgical patients. Patients undergoing elective surgery underwent either tracheal intubation (2.5–4 cm above carina) or endobronchial intubation (right mainstem bronchus). Both positions were confirmed by fibreoptic bronchoscopy. Anaesthetists and first year residents were then asked to separately identify tube position by one of four methods: auscultation, observation and palpations of symmetrical chest movements, cm scale on the tube, and a combination of all three methods. One hundred and sixty patients were randomized with 74% being female. Each patient was assessed by one anaesthetist and one resident which produced 320 measurements. The sensitivity for detection of endobronchial position was poor in the auscultation observation methods, but high for both depth and the combined methods. Experience was important in the auscultation and observation methods, but had little influence on the accuracy of the depth and combined methods. The present study was limited by small numbers and uneven sex distribution, but there are important lessons for readers: noting tube depth is a critical adjunct to other clinical methods for identifying potential endobronchial intubation, particularly in a noisy ED environment. (Sitzwohl C. BMJ 2010. Epub. doi: 10.1136/bmj.c5943) This single centre study used a procedural sedation registry data to identify factors associated with complications in procedural sedation. A 2 year period was analysed with the complications pre-specified: hypotension (systolic BP < 90 mmHg), hypoxia (SpO2 < 90%), vomiting, aspiration, apnoea or cardiac arrest. The data collection form also contained patient demographics, clinician seniority, medications used and procedure performed (including success). Sedation guidelines existed in the study ED, but formal competency was not assessed. There were 1420 patients entered into the registry over 2 years with most receiving an opiate combined with midazolam or propofol. Joint reductions were the most common indication. There was a reported complication rate of 3.5% (49/1420). Most of these were respiratory – desaturation (20), apnoea (8) and laryngospasm/bronchospasm (5). Of the 49 complications, 22 patients had their sedation reversed by naloxone or flumazenil. No patient suffered morbidity because of sedation; however, two patients suffered humeral fractures during shoulder relocation! Multivariate analysis showed two factors were significantly associated with complications: the depth of sedation (sedation level of 4 or 5) and the time of the procedure (20.00 hours to 08.00 hours). There might be some debate about the intended level of sedation and what constitutes a complication, i.e. apnoea would be expected at level 5 and is not necessarily a complication. However, the message about the timing of the procedure is important, and is supported by other work in this field. Readers should evaluate what procedures really need to be carried out at night in their ED, particularly after midnight, and who should be doing them. (Jacques KG. Emerg. Med. J. 2010. Epub. doi:10.1136/emj.2010.102475) There is a paucity of evidence behind many guidelines, and prehospital protocols are no exception. This prospective randomized controlled trial was designed to address the issue of optimal oxygen therapy for COAD patients in the prehospital setting. Eligible patients were those aged over 35 years with breathlessness plus either a history of COAD or greater than 10 pack year smoking history. Cluster randomization was carried out with paramedics administering either titrated oxygen via nasal prongs to achieve SpO2 of 88–92%, or standard high flow oxygen of 6–8 L/min via facemask. All other treatments were according to ambulance protocols. Patients were to have arterial blood gas performed on arrival to hospital. All other treatment in ED and hospital was at treating clinician discretion and not standardized. The primary outcome was hospital mortality. Sixty-two paramedics consented to the study and they transported 405 eligible patients during the 13 month study period. Just over half these patients were later confirmed to have COAD. Many patients had protocol violations – mostly application of high flow oxygen in the titrated oxygen group. Blood gas measurements were only undertaken in 57% of patients and only 19% had this performed within 30 min of ED arrival. In hospital mortality was significantly higher for the high-flow group (9% vs 4%) and also in the subgroup of confirmed COAD patients (9% vs 2%). For the COAD patients the mean CO2 on arrival was 78 mmHg in high-flow oxygen group, compared with 55 mmHg in the titrated group. Mean oxygen levels were 98 mmHg and 79 mmHg, respectively. Although there are methodological issues in the present paper, it would seem reasonable that prehospital protocols now specify titrated oxygen therapy for patients with known, or at risk of, COAD. (Austin MA. BMJ 2010; 341: c5462)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.113 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".