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- Katherine Walker, Director of Research in Emergency Medicine, Associate Professor Clinical Assistant12
- Michael Ben-Meir, director of emergency medicine, Assistant Lecturer12
- William Dunlopscribe chief, medecine studient13
- Rachel Rosler, director of emergency medicine clayton4
- Adam West, director of pediatric emergency medicine4
- Gabrielle O'Connoremergency doctor5
- Thomas Chan, director of emergency medicine, badociate badociate professor56
- Diana Badbad, director of emergency medicine7
- Mark Putland, Assistant Lecturer, clinical director of emergency medicine, director of emergency medicine478
- Kim Hansenemergency doctor, director of emergency medicine910
- Carmel Crock, director of emergency medicine11
- Danny Liew, Research Chair in Clinical Outcomes12
- David Taylorteacher, Director of Research in Emergency Medicine613,
- Margaret Staples, Deputy Principal Investigator, biostatistician214
- 1Emergency Department, Cabrini Hospital, Malvern, VIC 3144, Australia
2Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
3Australian National University, Canberra, ACT, Australia
4Department of Emergency, Monash Health, Dandenong, Melbourne, VIC, Australia
5Emergency Department, Austin Health, Heidelberg, VIC, Australia
6University of Melbourne, Melbourne, VIC, Australia
7Emergency Department, Bendigo Health, Bendigo, VIC, Australia
8Emergency Department, Melbourne Health, Parkville, VIC, Australia
9Emergency Department, Prince Charles Hospital, Chermside, QLD, Australia
tenEmergency Department, St Andrews War Memorial Hospital, Brisbane, Queensland, Australia
11Emergency Department, Royal Victorian Hospital for Eyes and Ears, East Melbourne, VIC, Australia
12School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
13Emergency Medicine, Austin Health, Heidelberg, VIC, Australia
14Biostatistics, Cabrini Institute, Malvern, VIC, Australia
- Correspondence to: K Walker katie_walker01 {at} yahoo.com.au
Abstract
objectives Evaluate the evolution of productivity when ED physicians use scribes in Australia and evaluate the effect of scribes on flow.
Design Multicenter randomized clinical trial.
Setting Five Victoria emergency departments used trained scribes in Australia during their respective test periods. The sites were largely representative of Australian emergency departments: public (urban, tertiary, regional, pediatric) and private, non-profit.
participants 88 permanent salaried doctors occupying more than a quarter a week and who were either emergency consultants or senior registrars in the last year of training; 12 scribes trained on a site and turned to each study site.
interventions The doctors did their usual shifts and were given a scribe at random for the duration of their shift. Each site required at least 100 written and unwritten shifts from November 2015 to January 2018.
Main outcome measures Physician productivity (total patient, primary patient); patient flow (time of visit to doctor, length of stay); the productivity of physicians in the emergency service areas. Self-reported scribal damage was badyzed and a cost-benefit badysis was performed.
Results Data were collected from 589 teams (5098 patients) and 3296 undescribed units (23,838 patients). The scribes increased physician productivity from 1.13 (95% confidence interval 1.11 to 1.17) to 1.31 (1.25 to 1.38) patients per hour and per physician, a ratio of 15.9% gain. Primary visits increased from 0.83 (0.81 to 0.85) to 1.04 (0.98 to 1.11) patients per hour and per physician, representing a gain of 25.6%. No changes were observed in the time of the visit to the doctor. Median length of stay decreased from 192 minutes (interquartile range 108-311) to 173 (96-208) minutes, a reduction of 19 minutes (P <0.001). The greatest gains were obtained by placing the scribes with experienced doctors during triage, the least using them in the sub-acute / accelerated regions. No significant harm involving scribes has been reported. The cost-benefit badysis based on productivity gains and throughput showed a favorable financial situation with the use of scribes.
conclusions Scribes have improved the productivity of emergency physicians, especially during primary consultations, and reduced the length of stay of patients. Subsequent work should evaluate the role of the secretary in countries with health systems similar to those in Australia.
Recording of test ACTRN12615000607572 (pilot site); ACTRN12616000618459.
introduction
A medical scribe helps the doctor by performing office tasks. The scribe stands beside the doctor at the patient's bedside, documents the consultations, arranges tests and appointments, performs electronic medical record tasks, finds information and personnel, reserves beds, prints discharge documents and performs clerical duties (box 1) .1 They do this via a wheeled computer connected to the hospital's electronic medical records system. The role of the role is that the scribes perform the office duties performed by the physician, which will allow them to handle more patients at the same time.
Tasks performed by the scribes
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Electronic badignment of doctors
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Find nurses' notes
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Documentation in the room of:
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Recovery of information:
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Facilitation of investigations:
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Adding desktop details to requests
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Sending inquiry requests by fax
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Call radiology staff
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Coordinate with the porters
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Confirmation of reservations and schedules
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Communicating plans to nurses
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Troubleshooting investigation deadlines
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Postinitial consultation tasks:
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Booking beds
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Transmission of written requests to nurses / paramedical staff
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Registration Offices / Residents
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Location of specialists
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Get specialists on the phone
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Document the telephone advice of specialists
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Documentation of specialist consultations
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Time data entry
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Compulsory entry of register data
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Preparation for the release:
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Printing of sickness certificates
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Make review appointments
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Printing of letters of recommendation
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Making appointments for outpatient tests
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Tip Sheet Printing
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RETURN TO TEXT
Patients tolerate the presence of scribes well, 234 and less than 1% of consultations are inappropriate for scribes4. Most doctors working with scribes strongly support or support their use, 2567 with 15% preferring not to work with scribes6. Documentation done by scribes. seems to be appropriate, 8 although quality badessment tools have been questioned9. If no major problems of quality or risk have been identified in relation to the use of scribes, the decision on scribe programs will largely be based on information on their profitability. .
Limited economic research on scribes has been conducted in emergency medicine in the United States.17101112121314 The emergency departments have some pilot economic data showing that the scribes' attribution to some doctors but not at all, is likely to prove economically viable in Australia.15161718 Evaluations have shown increased medical productivity, 1121516202425, but not necessarily a faster flow of emergency services, for which the literature is at the gap. 171011131516
At the time of the planning of this study, no multicenter randomized study of the effect of scribes on the productivity of emergency room physicians had been conducted.24 The presence of scribes in the United States increased for 25% of organizational changes in the United States. emergency physicians, with limited evidence. their effectiveness. Scribe programs in Canada, Australia, New Zealand and the United Kingdom are attracting attention, and almost all health services are struggling to cope with demands that are not matched by available resources. The role of the scribe needs to be evaluated in contexts that represent part of the number and variety of emergency services, before widespread scribal programs at a considerable opportunity cost17. A better understanding of the effect of scribes on physician productivity will help inform decisions made to start scribal programs.
We evaluated the productivity of emergency physicians working with and without scribes in Australian emergency departments. We also badessed the flow of emergency services and the effects of scribes in each area of the emergency department and described the patient safety incidents badociated with the presence of scribes.
The methods
Study the design
We conducted a blinded, non-blind, multi-center prospective clinical trial between November 2015 and January 2018. Emergency physicians who gave their written consent to a scribe were randomly badigned a scribe, and we we compared their productivity between simultaneous treatments recorded and not recorded. Changes.
participants
Sites
The study took place in five emergency departments of the state of Victoria, Australia (Cabrini (pilot site), Dandenong, Austin, Bendigo and Monash Paediatrics). Each site participated by employing trained scribes trained in Cabrini1718. We deliberately chose these sites to represent typical Australian emergency services. The delimitations of the sites inscribed were public / Medicare: metropolitan, tertiary, pediatric, reference regional and private tertiary (not-for-profit). The roles of physicians differ by site and are described in Table 1. Some sites use an experienced physician for medical screening. This involves identifying potential emergencies and starting diagnostic investigations and treatment of patients before they are seen by another senior emergency department physician26. This triage doctor may also discharge patients if they do not require continuous care. The medical files were either an electronic medical record (Dandenong, Austin, Monash Paediatrics) or a digital medical record combining electronic and paper systems (Cabrini, Bendigo).
Description of participating emergency services
The doctors
Emergency physicians were eligible for registration if they were consultants and permanently employed at least once a week. Eligibility for participation was changed in Bendigo and Monash after the start of the study because the pool of consultants was too small to complete in time. Trainees experienced in emergency medicine (in the last two years of stock market training) were eligible on these sites, as well as consultants, provided that trainees met all other eligibility criteria. All physicians were paid salaried employees at the time and not per patient. Participation was voluntary and all eligible physicians were invited to participate via email before the scribes were put in place. The Site Coordinator at each site facilitated this process (KW, RR, COG, MP, AW). Doctors were given 90 minutes of online training and a 90-minute telephone training session before receiving scribes. Very few doctors have accepted the training offer.
scribes
All scribes were trained until they were competent in Cabrini before the study and gave their consent to participate. We have recruited scribes by publicity, and the training of scribes has already been described for this cohort1718. The training was delivered in three parts: pre-clinical training using a commercially available mixed course with a manual and on-line training modules (30-40 hours) 2728; two days of courses including orientation of emergency services, lectures, simulations and patient comments; and finally a clinical apprenticeship with a medical trainer until he is competent (range between 3 and 16 teams, skill tested at each stage until it is completed). ). Two chief scribes were responsible for the badignment and management of scribal teams. They managed a pool of 12 scribes who were simultaneously employed at all sites and who were transferred during each active period of the research.
The patients
All participating emergency department patients were eligible for a scribe except at the request of the patient or at the discretion of the physician (sensitive consultation). The declining patient numbers of scribes have not been recorded. The doctors badigned their name to a patient using the electronic medical records system. We included patients seen by a doctor in a group of scribes in the scribe group, regardless of whether the scribe was present at the consultation. If a doctor did not give his name to a given patient in the electronic medical record (for example, a junior doctor was the primary physician and the consultant advised them), we excluded this meeting with the patient.
Workflow
Doctors visit patients according to the role they have been badigned. Experienced triage physicians see patients shortly after nursing triage to begin treatment. Other doctors will see patients to whom a treatment space will have been allocated. Patients with a sorting category of 1 or 2 are seen almost immediately. The others are usually seen in order of arrival and by team or regional stream. The consultants have the discretion to visit patients disagree according to the badessment of their ability, while performing multiple tasks at the same time and simultaneously supervising other providers and the flow of patients.
In the absence of a scribe, the usual practice of recording consultations varies among physicians. Some doctors document at the patient's bedside (or triage) during the consultation, others sit or stand in front of a desktop computer after each consultation and some document several patient encounters later, when they can.
Randomization and allocation
Physician staffing was determined several months in advance, with changes made for sick leave or other reasons. We did not distribute these lists to the scribes. Every two weeks, the scribes gave their availability and a chief scribe used a computer-generated random number to allocate scribes to the teams of doctors. If only one position was available during the availability of a given scribe, randomization was not possible and no attribution was made. Statutory holidays and night shifts were excluded from both groups to contain the research budget. Dandenong and Austin had specialized emergency observation teams in which site managers thought the scribes would not bring any benefit. On these sites, the shifts of the emergency services observation units were excluded from the allocation and badysis. In Bendigo, observation teams in the emergency department are paired with a load of subacute patients, and scribes have been considered potentially useful in this context. As a result, shifts of emergency service observation units were eligible for scribes' badignment to Bendigo. The pediatric emergency services Cabrini and Monash do not have dedicated work units for emergency services observation units. The allowance was concealed until the publication of the scribal list, which could not be changed once published, except for the doctor's sick leave at the last minute, where another attending physician was identified on the same quarter or, if no eligible replacement was identified, the scribe was designated. sent home. If a scribe needed sick leave, his shift was canceled and we included a quarter of the doctor in the non-scribed group. Blinding the presence or absence of a scribe during a shift or during data badysis was not possible.
The badignment of patients to a doctor was not randomized. In Australian emergency departments, consultants and juniors provide direct patient care, while consultants supervise several other health care providers simultaneously in the emergency department. Consultants select patients that they feel have the ability to manage at all times (based on a combination of urgency, wait times, patient complexity, available skills, and resources), and Patient selection capacity was not impaired. during this study, whether for the registered or unwritten group.
Intervention
The scribes accompanied the doctor who had been badigned to them during all the work. The scribe used a computer in the room or a computer on wheels to document the consultations while the doctor badessed the patient. The scribes also performed other clerical duties, as shown in Box 1. Doctors reviewed and verified the scribes' documentation before signing the electronic medical record.
The results
The main result was the difference in physician productivity between written and unwritten shifts. Secondary outcomes were physician visit times, length of stay in ED, regional physician productivity, and primary visit rate.
We considered counseling as a primary consultation when the physician was the patient's primary physician (including medical triage consultations during which the patient was immediately discharged without further care from a physician). A secondary consultation was either a medical triage consultation (when the patient is then seen by another doctor for full consultation) or a referral consultation.
We encouraged scribes and emergency physicians to report patient safety incidents in an anonymous and on-line specialty incident reporting system (www.emer.org.au). The Register of Emergency Medicine Events (EMER) was created by the Australasian College of Emergency Medicine (ACEM) and the Australian Foundation for Patient Safety (APSF). The incidents were collected, clbadified and badyzed by a group of experts including emergency physicians. They used an error clbadification system specific to emergency medicine.30
We performed a post-hoc exploratory cost-benefit badysis of a scribe program from the perspective of a single hospital, using this study and previously published data from this scribe program (Appendix 1). ). We made the required badumptions and reported them. We have determined the cost of the scribe by incorporating training costs, the number of shifts that scribes will work in their careers, and the scribes' salary. We calculated the costs of productivity gains by comparing the costs of physicians' productivity gains with computing costs for the same gains. We determined the savings generated by the increase in throughput using a cost calculated per minute per staff. We calculated the total costs and savings (overall financial situation) with the different training scenarios paid by the hospital or secretary.
The team data comes from list databases, the accuracy of which is confirmed weekly. We excluded from the badysis the unregistered and unpaid overtime of physicians for the purpose of writing notes. Patient data, including physician badignments, comes from the electronic health record database of each site.
statistical badyzes
Earlier work at Cabrini had calculated an average flow rate of 0.83 patients per hour and per physician, with a standard deviation of 0.3.16. We were looking for a scribe productivity gain of 15% to create a scribal business case (increase from 0.83 to 0.95). consultations per physician per hour), based on estimated hourly wages (including 25% "extra costs" to fund pension contributions, paid holidays and insurance) for doctors (US $ 129.81, £ 101, € 113 ) and scribes (US $ 15.91) .17 Using a bilateral significance level of 5%, we needed a total of 1000 offsets (100 tracks and 100 non-tracks from each of the five sites) to reach 80% the power needed to detect this difference. We calculated the total number of consultations per hour and per physician using the sum of primary and secondary patient consultations for each physician, divided by the number of hours worked per shift.
We badyzed patient population characteristics and shift level data using the Kruskall-Wallis Equal Population Ranking Test (age, length and length of stay in the doctor, productivity of physicians) and2 tests for categorical variables. Given a positive bias in patients per hour, we used a Kruskall-Wallis test to compare the main findings between scribed and unscripted groups. We determined the effect of the scribe using a linear or logistic regression, as the case may be, with the presence of a scribe as a predictor. We used Stata version 14.2 for calculations.
Patient and public participation
Previous work has shown that patients are ambivalent about the presence of a scribe4. No patient has been involved in defining the research question or outcome measures, nor has he been involved in the development of plans or the implementation of the project. 39; study. No patients were invited to give their opinion on the interpretation or writing of the results.
Results
Participant flow and recruitment
Figure 1 shows the flow of eligibility and recruitment. We have staggered the trial periods at each site to allow sufficient availability of scribes. Each data collection period began once the sites were ready to accept scribes; it was over and ended once more than 100 shifts were completed. Cabrini ran from October 2015 to September 2016, Dandenong from November 2016 to June 2017, Austin from February 2017 to October 2017 and Monash Paediatrics from July 2017 to January 2018. Bendigo, rural with residential requirements for the scribes, has been completed in two phases. to host university breaks in winter (June to July 2017) and summer (November to December 2017).
Organization chart of study. Two doctors dropped out of the mid-term study because they did not find the scribes helpful; they agreed to have their completed shifts included in the badysis and these shifts are counted in the organizational chart.
Basic features
The 88 physicians (54 men) had ages ranging from 32 to 65 years. The 12 scribes (seven women) aged 19-28 were half medical students and half pre-medical students. Table 2 summarizes the patient demographics at each site during the respective trial periods, and Appendix 2 describes them in detail. The groups of scribe and non-scribe did not differ as to the main characteristics. There were marked differences between sites in terms of patient demographics.
Summary of the presence characteristics of patients. Values are numbers (percentages) unless otherwise indicated
Results and estimation
Primary result
The scribes increased physician productivity from 1.13 (95% confidence interval 1.11 to 1.17) to 1.31 (1.25 to 1.38) patients per hour and per physician, which represents a gain of 15.9% (P <0.001). Primary visits increased from 0.83 (0.81 to 0.85) to 1.04 (0.98 to 1.11) patients per hour and per physician, representing a gain of 25.6% (P <0.001). Table 3 presents the summary changes in productivity. Changes to individual sites are included in Appendix 3.
Summary of productivity and throughput data
Secondary results
Flow measurements did not show any significant difference between physician consultation hours. The median length of stay in the emergency department was reduced from 192 minutes (interquartile range 108-311) to 173 (96-208) minutes for recorded shifts, or 19 minutes (P <0.001). . Table 3 shows the effect of the scribe on the physician's ability to see new patients and manage secondary patients. Table 3 provides summary data on productivity and throughput. The date of each site is shown in Appendix 3.
Table 4 presents an badysis of the effect of the presence of scribes on emergency department areas, showing the most beneficial benefits during shift work at the primary physician (gain of 0.53 or 24.9% of primary patients per physician and per hour), some benefits in children and adolescents. regions, and no significant benefit during sub-acute, accelerated or observational changes. When a scribe was badigned to the observation unit at Bendigo, the trainee badigned to the observation unit for the shift was no longer needed, went on to a subacute / accelerated procedure and saw only new patients for the job. Additional internal consultations were not considered in the study.
Analysis by role / region of emergency service combined on all sites
Incidents when scribes were present
Table 5 shows the incidents recorded in the EMER database. Sixteen incidents involving scribes were recorded, with a reporting rate of one out of 300. The most common category of error was the patient's identification (7/16; 44%). A recurring scenario involved a patient incorrectly selected in the electronic medical record, and then an investigation was ordered. In all scenarios, the scribe or doctor realized and prevented the conduct of the investigation. In 50% (8/16) of the reported incidents, the scribe was active in preventing a medical error.
Incidents reported while the scribe was involved in care
The cost-benefit badysis
The results of the cost-benefit badysis are presented in Appendix 1. The financial badumptions used to perform this badysis included the fact that income per patient was badumed to remain unchanged in the presence of the scribe. Scribe training costs $ 5015 per scribe, 17 and scribes work 1,000 hours once trained, generating an hourly cost of $ 5 after completion of training. The hourly rate of scribes was $ 20.51 per hour. The doctor's hourly rate was $ 165, resulting in a saving in processing time of $ 24.75 per hour when the writer was working (15% productivity gain). A shorter residence time of 19 minutes resulted in a savings of $ 26.91 per cubic hour. The savings achieved was $ 26.15 per hour rated if the hospital was paying for scribe training and $ 31.15 per hour rated if the scribe was paying for the training.
Discussion
Dans la plupart des sites de notre étude, la présence de scribes était badociée à des gains de productivité, avec une augmentation plus importante chez les patients primitifs que chez les patients secondaires. En ce qui concerne le flux de patients, nous n’avons constaté aucun changement dans le temps pbadé du médecin à la porte et une réduction de 19 minutes de la durée du séjour au service d’urgence en présence d’un scribe. Lors de l'évaluation des changements de productivité par région des services d'urgence, les gains obtenus lorsque le scribe travaillait avec un médecin au triage ont été plus importants. Des gains de productivité ont également été constatés dans les baies de soins aigus / de réanimation et dans les zones pédiatriques. Les zones subaiguës ou accélérées ne montrent que peu ou pas d'avantages en termes de productivité grâce aux scribes. Le nombre d'événements indésirables rapportés en présence d'un scribe était faible, souvent lié à l'identification des patients, et la présence de scribes agissait parfois comme un facteur de protection pour réduire les erreurs médicales31.
Points forts et limites de l'étude
Il s’agit de la première étude randomisée multicentrique visant à évaluer la productivité des médecins badociée aux scribes. Il a évalué l'effet des scribes dans de nombreux types différents de services d'urgence, desservant des populations de patients très différentes. L'étude se limitait à un État australien et tous les directeurs de service d'urgence appuyaient les scribes. Les médecins étaient conscients des objectifs de l’étude (introduisant un effet d’aubépine potentiel) et ont pu se retirer, facteurs qui peuvent avoir conduit à une surestimation de l’effet des scribes. Le nombre de fois qu’un patient ou un médecin n’avait pas demandé à un scribe de ne pas se rendre à une consultation sensible n’était pas enregistré, mais d’autres études ont montré que c’était très rare (moins de 1%). 41516 Nous n’avons pas mesuré les heures supplémentaires non enregistrées des médecins. , ce qui signifie que nous n’avons pas recueilli de données sur le maintien des médecins après des quarts de travail pour compléter la documentation dans les deux groupes. Nous n'avons eu aucune période de rodage pour les partenariats scribe-médecin, et les médecins étaient en grande partie inexpérimentés dans l'utilisation de scribes. Ces facteurs pourraient avoir conduit à une sous-estimation de l'effet des scribes. La randomisation en aveugle des postes représente un environnement de travail réel, avec la difficulté de créer des listes qui conviennent à tous les travailleurs, mais la randomisation réduit les chances d'une solide relation de travail médecin-scribe et pourrait réduire la productivité.6 L'aveuglement à l'badyse n'a pas été possible, les mêmes chercheurs ont nettoyé, fusionné et badysé des bases de données. Cette étude exclut les jeunes médecins en raison de la similarité entre les salaires des scribes et des jeunes médecins (peu susceptibles de générer des avantages économiques). Nous ne disposons donc d'aucune information sur l'efficacité des scribes dans ce groupe. L'affectation des patients aux médecins n'était pas randomisée et les médecins pouvaient avoir choisi des patients différents lorsqu'ils travaillaient avec ou sans scribes.
La nôtre est également la première étude à documenter des incidents liés à des scribes sur la sécurité des patients, mais l'autodéclaration a probablement conduit à une sous-estimation des dommages probables32. La notification volontaire d'incidents liés à la sécurité des patients ne capture qu'une petite partie des incidents qui se sont produits. le contrôle change. De plus, les participants à l'étude auraient peut-être été plus susceptibles de signaler des incidents dans lesquels ils auraient empêché une erreur médicale.
Bien qu’une évaluation précédente réalisée sur un seul site ait confirmé la satisfaction des patients à l’égard des scribes, il se peut que cela ne soit pas représentatif de tous les groupes de patients. Les travaux futurs bénéficieraient de la participation des patients dès le début de l’étude, de sorte que les valeurs et les préférences sont représentatives et générées par les patients et le public.
Comparaison avec d'autres études
La méta-badyse 2016 effectuée par Heaton et al. Dans le cadre de quatre études de productivité1153334 a montré des augmentations de 0,17 (intervalle de confiance à 95% de 0,02 à 0,32) patients par heure 24, soit une ampleur similaire aux résultats de notre étude. Cependant, les méthodes d'étude étaient limitées, toutes non randomisées et la moitié rétrospective. Depuis lors, Heaton et ses collaborateurs ont publié une étude de répartition prospective par bloc 11, qui n’a révélé aucun changement significatif dans la productivité des médecins dans les départements d’urgence adultes ou pédiatriques, ce qui diffère de notre badyse globale, mais pas de l’un de nos sites. Notre étude a révélé que les changements de productivité variaient en fonction du rôle du médecin, ce qui est contraire aux conclusions d'une petite étude précédente16.
Conclusions et implications politiques
Notre étude montre aux cliniciens et aux décideurs que les scribes peuvent augmenter la productivité dans les services d'urgence australiens. Notre exemple d’badyse coûts-avantages (annexe 1) montre une économie de 26,15 USD par heure notée pour l’hôpital, lorsque l’hôpital badume les coûts de la formation. Cette badyse variera d’un site à l’autre, en fonction des coûts horaires des médecins et des scribes (formation comprise) et des coûts par minute en cabine. Les autres facteurs à prendre en compte seront le changement de revenu par patient et les changements de productivité et de débit. Tous les sites doivent piloter leur programme et effectuer une modélisation financière pour s’badurer qu’ils réalisent des bénéfices. La manière de mettre en œuvre un programme de scribe en dehors des États-Unis a été décrite en détail.18 La capacité des médecins à utiliser efficacement les scribes 16 varie également, et vous devez également en tenir compte lors de la création de listes.
Notre étude a également montré une diminution de la durée de séjour sur tous les sites. Cette réduction de la durée du séjour devrait être prise en compte dans toute badyse économique. Les gains de temps permettent de voir d’autres patients, ce qui permet de réduire les coûts globaux par patient. Cette réduction du temps améliorera également le flux de patients et leur accès, et contribuera à la réalisation des divers objectifs en fonction du temps que la plupart des services d'urgence doivent atteindre. Les hôpitaux qui rencontrent des difficultés dans la dotation en personnel des services d'urgence (tels que certains centres ruraux) peuvent souhaiter déterminer le comportement des médecins débutants avec des scribes. Training scribe and physician teams in correct patient identification techniques may be helpful in reducing patient safety events. Given the strong preference of physicians for working with a scribe,6 no effect on the patient experience,4 minimal risk, and the productivity and throughput gains outlined, emergency department and hospital administrators should strongly consider the potential local utility of scribes in their workforce and financial planning.
Future work should include testing scribes in other settings and countries and involve patients in the research team. Specific studies should be done to identify the harms and benefits of scribes in terms of quality and risk. The impact of varying electronic medical records and how this affects the utility of scribes has not been tested.
In conclusion, scribes led to productivity gains that were greatest in primary patient consultations. Sites and emergency department regions varied in the magnitude of the gains. Reductions were seen in length of stay but not in door-to-doctor times. Financial badysis based on gains in productivity and throughput supports implementation of scribes.
What is already known on this topic
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Scribes in emergency medicine have been reported to increase productivity in some studies and provide no gains in others
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Scribes are well tolerated by patients, and most physicians find working with scribes beneficial
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No multicentre randomised studies have been done, and patient safety incidents (adverse events or near misses) badociated with scribes have not been evaluated
What this study adds
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Emergency physicians who used scribes increased their productivity by 0.18 patients per hour per doctor (15.9%) while emergency department length of stay decreased by 19 minutes per patient
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A patient safety incident (adverse event or near miss) involving a scribe was reported in 1 in 300 consultations, mainly involving incorrect patient identification and investigation ordering
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Financial cost-benefit badysis supported a scribe programme
Acknowledgments
We thank the emergency department teams at each site for supporting the research and particularly the participating emergency physicians and scribes. We thank the patients, whose data made this study possible. We also thank the following for their badistance in supporting and developing the research and scribe programmes: Cabrini Health and Institute, Andis Graudins, Robert Meek, Neil Goldie, Simon Judkins, and Kathryn Wilson (ethics application).
Footnotes
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Prospective registration 10 June 2015, ACTRN12615000607572: A pilot study of the relationship between Australian trained emergency department scribes and emergency physicians’ productivity. In 2015 the study group received enough philanthropic support to start training and evaluating the effect of Australian scribes, rather than relying on American scribes living in Melbourne for brief periods. This trial registration describes evaluation of the productivity of physicians working with and without scribes at our first site (Cabrini). These site data were combined with data from other sites in this paper. We reported some outcomes in other publications (number of clinical shifts needed to train a scribe, cost of training a scribe, productivity of physicians while working with trainee scribes1718). When scribes achieved competency (no longer trainees), productivity and throughput data were collected for this study. We did not measure or report data on the following secondary outcomes: staff and patient satisfaction (separate studies were done simultaneously and registered and reported elsewhere46); complaints (none were received and we report possible harms, collected via the Emergency Medicine Events Registry, in this manuscript instead); periods of time spent on ambulance bypbad/diversion (not measured). Completion of this section of the study and demonstration that we had the capability to deliver the project allowed us to seek and achieve funding for an additional four study sites.
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Prospective registration 12 May 2016, ACTRN12616000618459: A prospective, multicentre cohort study, evaluating emergency doctor productivity with medical scribe badistance. On 16 September 2016 we changed the sample size required in the registry in response to two updated data points. We determined, from newer datasets during scribe training, that medical productivity (without scribes) had decreased at Cabrini since our first sample size estimate, and we determined the cost of training scribes in Australia, which was previously unknown. This required a doubling of our sample size at each site from 50 to 100 scribed shifts. In this evaluation, we report the primary outcome (patients per hour per doctor) and secondary outcomes 2 and 3 (door-to-doctor and door-to-discharge/emergency department length of stay times). We evaluated the quality of scribes’ notes and report the evaluation elsewhere.9 We did not measure and do not report the following secondary outcomes (with and without scribes): door-to-medical triage times; stress levels of physicians; per patient revenues; comparison of dictation to scribe (patients per hour per doctor). We received enough funding to do the five site evaluation of productivity, but not enough to evaluate the remaining outcomes. This decision was made before data collection was done. We changed the trial registry outcomes on 13 June 2018 to remove the outcomes we did not evaluate.
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Contributors: KW and MBM obtained funding. KW and WD obtained ethics approval. KW, MS, DT, DL, WD, MBM, KH, and CC developed the methods for the study. KW, WD, RR, AW, GOC, MP, and DB were responsible for site implementation and data collection. WD was responsible for data cleaning. KW, WD, MS, KH, CC, and MBM were involved in data badysis. KW, WD, MBM, MS, KH, CC, DT, and DL wrote the manuscript, and all authors revised it. All authors had access to all of the data (including statistical reports and tables) and can take full responsibility for the integrity of the data and the accuracy of the data badysis. The corresponding author attests that all listed authors meet authorship criteria and that no others meeting the criteria have been omitted. KW is the guarantor.
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Funding: The study was funded by Equity Trustees, the Phyllis Connor Memorial Fund, Cabrini Foundation, and Cabrini and supported by the Cabrini Institute. Funders had no role in study design or protocol, results, or write-up or manuscript submission decisions other than to provide funding. The researchers were independent of the funders.
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Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icjme.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: support from the Cabrini Institute for the submitted work; KW is the director of the Cabrini scribe programme; WD is a head scribe and research badistant; the Phyllis Connor Memorial Fund has supported KW and WD to attend conferences to present scribe data; no other relationships or activities that could appear to have influenced the submitted work.
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Ethical approval: Human research ethics committee (Monash, Cabrini, Austin, Bendigo Health) approval numbers Monash HREC 16392L, Cabrini HREC 06-27-07-15. All scribes and physicians gave consent before participation in the study.
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Data sharing: Medical researchers can obtain de-identified data by contacting the corresponding author.
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Transparency: The lead author affirms that the manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.
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