MétaCan
Menu
Retour à la cohorte
Enregistrement W2414461504 · doi:10.1213/ane.0000000000000801

The Challenge of Studying and Improving Perioperative Teamwork, and Yes, Another Checklist

2015· letter· en· W2414461504 sur OpenAlexaboutno aff
Meghan B. Lane‐Fall, Jacob T. Gutsche

Notice bibliographique

RevueAnesthesia & Analgesia · 2015
Typeletter
Langueen
DomaineMedicine
ThématiqueCardiac, Anesthesia and Surgical Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChecklistTeamworkPatient safetyHealth carePerioperativeMedicineNursingMedical emergencyPsychologySurgery

Résumé

récupéré en direct d'OpenAlex

Within the past 20 years, a growing number of checklists have been introduced into perioperative clinical practice. The most widely used of these include the World Health Organization’s (WHO) Safe Surgery Saves Lives checklist1 and the central line insertion checklist.2 Additional checklists address handoffs in various settings, including during surgery,3,4 on transfer to the postanesthesia care unit,4 and on transfer to the intensive care unit.5 Irrespective of each tool’s details, checklists aim to improve the safety and the reliability of critical processes that are sensitive to human factors concerns such as fatigue and information overload. Although checklists are conceptually simple, creation and implementation of clinical checklists may be fraught with difficulty. Urbach et al.6 showed that adoption of a surgical safety checklist failed to improve outcomes in a large, multicenter Canadian study. In analyzing the outcomes from the Keystone central line insertion checklist study conducted in Michigan intensive care units, Bosk et al.7 noted that adoption of a checklist was a quite complicated process, requiring identification of champions, training, and adaptation of the tool to account for center-specific practices. Any evaluation of checklist efficacy, then, should not only address the details of the tool in question but also consider the implementation method used, whether the checklist is embraced, and whether the checklist promotes the improvements in teamwork and communication thought to be important in improving patient outcomes. In this issue of Anesthesia & Analgesia, Tscholl et al.8 conduct just such an evaluation of a novel checklist called anesthesia preinduction checklist (APIC) that is meant to standardize preinduction safety checks. The authors used a Delphi approach to develop a list of items to be addressed before the induction of anesthesia. This checklist includes the 5 anesthesia-related items from the WHO checklist1 with an additional 8 items that include a review of the anesthetic technique (including contraindications for regional anesthesia, if applicable), a check of monitors, and confirmation that anesthesia equipment is functioning properly. The APIC tool was then implemented in 4 of 7 operating room areas in a single center (the remaining 3 areas served as a control). The APIC study begs the question: Do we need another checklist? When asked about the phenomenon of checklist fatigue, physician safety expert Thomas Varghese opined, “I do think there is checklist fatigue and I also think everyone is sick to death of the comparison between health care and the aviation industry!”9 Although it is clear that checklists have the potential to ensure that important care processes are followed, this benefit should be balanced with the additional burden imposed by checklist implementation and regular use.10 Also, despite obvious parallels between aviation and medicine, standardizing every aspect of clinical care is both impractical and undesirable. It behooves us to be selective in choosing which processes to standardize with a checklist or a template. Despite our need to be wary of additional checklists, Tscholl et al. offer a persuasive argument for the development of the APIC tool: In the surgical arena, there is strong evidence for the efficacy of preprocedure checklists. However, the tool that is most widely used (the WHO checklist) omits a number of items relevant to safe anesthetic care and monitoring. By introducing the APIC tool, the authors sought to improve information exchange and knowledge of critical information as well as 3 other team-level outcomes: team members’ perception of safety, perception of teamwork, and actual clinical performance. Although patient outcomes were not assessed, the authors note that all 5 of their team-level outcomes have been shown to contribute to patient safety, which supports their importance. After implementing the APIC tool, the authors found that both information exchange (“hearing”) and knowledge of critical information (“listening”) improved with use of the APIC tool. Moreover, safety perception improved, and there was a trend toward a perception of improved teamwork. Actual clinical performance of 14 specific items (e.g., “CO2 wave visible,” “intended opioid available”) did not change appreciably, which is not surprising given that only 1 of the 14 items (“suction device checked”) was part of the APIC. An additional interesting finding from the APIC work is that just 88% adherence was achieved in the operating rooms in which the tool was introduced. Tscholl et al. consider lack of knowledge about tool use, lack of checklist acceptance, and reluctance to change as possible factors explaining incomplete uptake of the APIC tool. Thinking back to the work of Bosk et al.,7 adoption of checklists is not a simple affair; active, theory-based change management is needed to achieve organizational acceptance. End-user input into the process is also helpful, as this allows any given checklist to be adapted for fit in specific settings and may increase user buy-in. Indeed, in the Michigan central line checklist study, >100 versions of “the checklist” were used in the 103 study sites.7 We do not know what tactics were used to promote uptake and use of the APIC tool, but sociocultural considerations undoubtedly affected appropriate use of the tool. Incomplete adherence in the APIC study hints at the presence of an important story beneath the numbers. How did clinicians feel about the introduction of this tool? What steps were taken to introduce this tool into clinical practice? What were the concerns of skeptics who opted not to use the tool? These and related questions may be answered using qualitative or mixed methods research techniques.11 Notwithstanding concerns about the compatibility of qualitative and quantitative research techniques,12 talking to clinicians affected by health care interventions may yield findings that facilitate implementation and that can help with troubleshooting and promoting intervention sustainability. Mixed methods designs are not often used in perioperative research but are well suited to the study of social phenomena such as organizational change.13 The findings from the APIC study, including incomplete adherence to the checklist and slightly different outcomes in consultant-led versus resident-led teams, are ripe for qualitative exploration. The additional information garnered from such an approach could be of use to clinicians seeking to adapt APIC to their own settings. Several avenues of inquiry may follow from the work of Tscholl et al. First, although the APIC showed promising initial results, the durability of this tool over time will need to be assessed. Also needed is a detailed plan for evaluation of adherence to the tool, training of individuals new to the organization, and evaluation of efficacy in improving patient outcomes. Second, it is important to understand how tools such as APIC can be adapted to new settings integrating existing technology while retaining their efficacy. Third, the creation of an anesthesia-specific checklist raises the question of whether each perioperative discipline (i.e., anesthesia, surgery, and nursing) needs its own preprocedure checklist. Because the WHO tool was designed to be multidisciplinary, it does not capture the detailed tasks that must be performed by each type of clinician to ensure safe surgical practices. In the future, the balance between inclusiveness and specificity in any proposed perioperative checklist should be considered. Finally, although APIC did improve several team-level outcomes, we do not know whether it improved patient outcomes. More study is needed to elucidate the mechanisms through which process improvement leads to better patient outcomes in this study and other quality improvement research work. For now, it seems that we have another checklist to contend with, one that shows promise in improving preprocedure information exchange. Hopefully, tools such as APIC will help standardize the routine aspects of perioperative care. This will allow us to more effectively attend to those tasks demanding insight, judgment, and experience, which no checklist has yet been able to capture. E DISCLOSURES Name: Meghan B. Lane-Fall, MD, MSHP. Contribution: This author helped write the manuscript. Attestation: Meghan B. Lane-Fall approved the final manuscript. Name: Jacob T. Gutsche, MD. Contribution: This author helped write the manuscript. Attestation: Jacob T. Gutsche approved the final manuscript. This manuscript was handled by: Sorin J. Brull, MD, FCARCSI (Hon).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,071
score de la tête « metaresearch » (Gemma)0,199
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,929
Score d'incertitude au seuil0,374

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0710,199
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0070,005
Études des sciences et des technologies0,0060,011
Communication savante0,0130,020
Science ouverte0,0050,009
Intégrité de la recherche0,0070,017
Charge utile insuffisante (le modèle a refusé de juger)0,0040,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,022
Tête enseignante GPT0,256
Écart entre enseignants0,234 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
DomaineMéthodes
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2015
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAnesthesia & AnalgesiaMême sujetCardiac, Anesthesia and Surgical OutcomesTravaux en français237 207