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Enregistrement W2054655234 · doi:10.1097/00000542-200212000-00003

No Myth: Anesthesia Is a Model for Addressing Patient Safety

2002· letter· en· W2054655234 sur OpenAlex

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Notice bibliographique

RevueAnesthesiology · 2002
Typeletter
Langueen
DomaineMedicine
ThématiqueCardiac, Anesthesia and Surgical Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineAnesthesiologySAFERPerioperativePatient safetyAnesthesiaIntensive care medicineHealth careLaw

Résumé

récupéré en direct d'OpenAlex

ANESTHESIA is an intrinsically hazardous undertaking and anesthesiologists have struggled for years to determine the incidence of catastrophic adverse outcomes. There is a wide belief that anesthesia is safer now than it was 30 or more years ago, and anesthesiology has been acknowledged by some for its nearly perfect safety record. 1In this issue of Anesthesiology, that belief is challenged. 2Dr. Robert Lagasse, reviewing literature from the past 5 decades and presenting new data, claims provocatively that “the emperor is not wearing any clothes” and that “we must dispel the myth that anesthesia-related mortality has improved by an order of magnitude.” Is this commonly held belief of markedly improved safety imaginary or does Lagasse's analysis miss the mark? The truth is somewhere in between. Assessing the contribution of anesthesia care to perioperative mortality and morbidity is notoriously difficult. Making fair comparisons across epochs in time is even more problematic. Yet, absence of unequivocal data is not evidence of absence of the effect. Even so, the available data may reflect several points: anesthesia for healthy patients is “safer” than it once was (but further progress may be possible); the rate of anesthesia-related mortality for all surgical patients is still higher than desired; and, safety levels can “plateau” or even diminish over time without constant effort at improvement.Perhaps the last thorough peer-reviewed summary of anesthesia mortality studies was in 1987. 3Fifteen years later, the issue is still plagued by confounding variation in definitions, relatively small sample sizes from selected institutions, and the lack of large population studies, especially in the United States. The new review in this issue by Lagasse of 23 studies, dating back to the mid-1950s, provides an interesting, but not totally clear perspective. The reported rates of anesthesia-related mortality vary widely by year and by country. Only four reports are from the United States and only one (The Confidential Enquiry into Perioperative Deaths) 4is a systematic analysis of a large population. Lagasse's control chart suggests randomness in anesthesia-related mortality during the past 30 yr. As Lagasse asks, is this real or an artifact of varying techniques and definitions? There is no way to be certain. The definitions for deaths in which anesthesia was “associated,”“related,”“contributory,” or “preventable” varied widely as did the time windows for the perioperative period (24 h to 30 days). The locales studied were disparate. Yet, even if we accept the definitions to be roughly comparable over the years, much else has changed that is not accounted for in the comparison of these studies.Are the nature of surgical patients and the operations performed unchanged over time? It seems likely that, compared with the period before 1970, more complex procedures are now performed more readily on sicker patients. This phenomenon might be studied using large databases if they provide equivalent data far enough back in time. Moreover, while it might be possible to track changes over time in the distribution of patients’ ASA physical status scores, we cannot determine whether there have been shifts in the way that scores would be assigned to the same patients in different epochs. It seems entirely possible that patients previously judged as ASA 3 or 4 may now be scored as ASA 2 or 3 as medical management for many diseases has improved and anesthetizing such patients has become routine.Despite the difficulties, there are data to suggest on the order of a ten-fold improvement in anesthesia safety if the focus is on studies in the United States, the country for which claims of dramatic improvements have been made. Add to Lagasse's review the pioneering study of Beecher-Todd, which covered the period 1948–1952. 5It reported a rate of 1:1560, for deaths in which anesthesia was at least “a very important contributing factor.” Despite the caveats of interpretation, it's fair in definition and methods to compare this order of magnitude with that provided by Lagasse's new data, where the mortality rate was approximately 1:13,000. That's close to a ten-fold improvement. Considering differences in patient risk and complexity of surgery from 5 decades ago, it's easy to see why many claim a dramatic increase in safety from years past despite the absence of hard data. The reports of Marx and Memery, also from the United States, support this. 6,7The changing relative risk factor for anesthesiologists in malpractice insurance premiums provides different supportive evidence. The risk factor has dropped dramatically. Though many factors affect malpractice risk, changes of this magnitude would be unlikely without a substantial reduction in losses. The inflation-adjusted premium for Harvard Medical School insured anesthesiologists is approximately one-quarter of its rate in the mid-1980s (Personal communication between author J. Cooper and Robert Hanscom, Risk Management Foundation of the Harvard Medical Institutions, Cambridge, MA, August, 2002). That's not an order of magnitude, but it's a large change. Large claims are typically for major injury in relatively healthy patients; thus these data suggest that anesthesia care has become safer for that cohort.Rather than the evolution of safety over time, consider the absolute risk of death related to anesthesia in the last 10–20 yr. Several studies indicate a very low mortality rate for ASA 1 and 2 patients. The quoted rate of one death per 200,000 anesthetics likely originated from Eichhorn's study of closed malpractice claims, which counted mostly healthy patients. 8Two periods were studied, before and after the institution of monitoring standards. The rates of anesthesia mortality for ASA 1 and 2 patients was 5 in 757,000 (1/151,000) patients in the first period (1976– June, 1985) and 0/244,000 patients from July, 1985 through June, 1988. A recent study by Arbus et al. of 869,000 anesthetics in the Netherlands during 1995–1997, reported 7 deaths solely attributable to anesthesia, a rate of 1:124,000. 9Yet another recent study, which appears to be comprehensive in its collection of perioperative adverse events in a Canadian hospital from 1996–2000, reports only 1 anesthesia contributory death in 84,000 patients, including patients in all ASA classifications. 10Finally, in the two hospitals studied by Lagasse, there were no deaths solely attributable to anesthesia among approximately 184,000 patients of all ASA physical status. Anesthesia had a major contribution in only one of 126,000 ASA 1 and 2 patients. 2As hazardous undertakings go, anesthesia's track record for healthy patients is indeed a model for health care. Carefully examining the Beecher-Todd study, we see that for “good risk patients” anesthesia was the primary or major contributing factor to death in approximately 4.1 per 10,000 surgical procedures between the years 1948 and 1952. 5Compared with today's data, that is more than an “order of magnitude” improvement that many have suggested.But, it's not good enough. The goal of the Anesthesia Patient Safety Foundation, expanding from that articulated by Macintosh 1150 yr ago, is that no patient shall be harmed by anesthesia. ‡Lagasse appropriately reminds us that anesthesia is not yet completely safe for ASA 1 and 2 patients (whose main risks may be iatrogenic) and less so for sicker patients. Anesthesia still contributes to serious adverse events and avoidable deaths.Has anesthesia safety reached a plateau? Lagasse's data from hospitals in the 1990s contain too few patients for a definite conclusion, but such a plateau is possible. Negative outcomes related to anesthesia-care might end up being traded off against chances for successful surgical treatment of serious diseases. The low probability of anesthetic mortality for healthy patients may force safety goals to compete inappropriately against efficiency and cost considerations. Lagasse's paper emphasizes a need to improve anesthesia and system safety for all patients, including a growing cohort of ASA 3 and 4 patients.The theory of organizational safety teaches that “safety” is a never-ending process whose success may not be measured strictly by epidemiologic methods. 12The profession of anesthesiology itself is a model concerning patient safety processes . 13Anesthesiologists have played important leadership roles in addressing organizational safety in all of health care. Anesthesiology was the first medical profession to treat patient safety as an independent problem. Anesthesiology has implemented widely accepted guidelines on basic monitoring, conducted long-term analyses of closed malpractice claims, addressed fatigue of residents serving in-house call, developed patient simulators as meaningful training tools, and tackled problems of human error. Most importantly the profession has institutionalized safety in its scientific and governing bodies, creating the ASA's Patient Safety and Risk Management Committee and the Anesthesia Patient Safety Foundation. Yet we should not be complacent, believing that we have won the war. Lagasse, in this review and in his prior work, has made valuable contributions to this effort. We all agree that the war must continue. Nonetheless, we believe there is no “myth” as to improvement in anesthesia patient safety. There are semantic disagreements, differences about what are the epochs being compared and little good data to be found. Anesthesiologists should remain aware of the hazards they still face, take pride in having been the leaders in patient safety efforts, and stay motivated to continue the pursuit of “no harm from anesthesia” with the passion it still demands.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,033
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0030,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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 Opus0,053
Tête enseignante GPT0,280
Écart entre enseignants0,228 · 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