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Enregistrement W4386338940 · doi:10.5858/arpa.2022-0272-le

Depression and Suicidality in Pathology and Laboratory Medicine: We Should Be Concerned

2022· article· en· W4386338940 sur OpenAlexaff
Vinita Parkash, Stephen J. Smith

Notice bibliographique

RevueArchives of Pathology & Laboratory Medicine · 2022
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealthcare professionals’ stress and burnout
Établissements canadiensUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésBurnoutMental healthMedicineDepression (economics)PsychiatrySuicidal ideationDisengagement theorySpecialtyPsychologySuicide preventionPoison controlClinical psychologyMedical emergencyGerontology

Résumé

récupéré en direct d'OpenAlex

This note is a plea, a call to action to all of us in this specialty, but especially to the leadership. We need to discuss depression and suicide in pathology and laboratory medicine. Absent this discussion, we risk losing one of our own (again) to suicide, and we put our trainees and staff at risk of suffering the traumatic loss of a work-family member to suicide. When this happens, perhaps the astute leader will send out a supportive email and arrange for a visit from a mental health professional. Of course, none of us will avail ourselves of this service—we do not seek mental health assistance in private—and we are not about to do it in public. Many will suffer long-term effects ranging from prolonged grief reactions to full-blown depression, deterioration in work performance, burnout and disengagement, increased substance abuse, loss of personal relationships, and perhaps even attempted suicide, among others.That healthcare workers have an increased rate of suicidal ideation is broadly recognized. Emerging data suggest that our field may be at higher risk than other specialties. It has been documented that the field of pathology has the highest suicidal ideation among specialties at 13%,1 and low resilience levels.2 We have high depression rates, despite having “low burnout rates,”3 suggesting that the low burnout rates may be spurious. Those burned out are likely self-excluding from surveys (a “not missing at random” bias). Data document introversion4,5 and depression-type symptoms5,6 among pathologists, factors also linked to suicidality.Suicidality has long been known to have social roots, as identified in Durkheim’s7 seminal sociological study “Le Suicide,” and is thus heavily moderated by an individual’s social integration and regulation into a group. Thus, the field of pathology needs to look at itself and consider what in our specialty’s social structure puts our members at risk. Possibly, we receive a subset of medical students at risk. Our own (and others’) stereotyping of ourselves (scientific, factual, cold) may be a hard landing spot for many looking to belong.8,9 The climate is undoubtedly disheartening, with an increasing commoditization in pathology; the oft-repeated minimization of the specialty (“pathology professionals are not medical professionals”); the stigma and perceived low prestige of the specialty;10,11 the prevalent concern that as a non–patient contact specialty, pathologists will soon be obsolete and replaced by computers.9 The majority of us do not see the direct impact of our work for patients; rare is the case in which we hear the protective “thank you” that our clinical colleagues hear from patients. A sense of anomie, especially after the long slog and financial burdens of medical school, is not entirely misplaced.Chair persons and residency directors in pathology need to put depression and suicide central on their “well-being of the field” agenda, and we need to develop pathology-specific strategies to target the issue.12 Universal strategies—strategies designed to influence everyone (eg, organizational “awareness” strategies)—are not enough, not for a subspecialty “at risk” and not for one that gets lost in the larger structure of medicine. One of the authors, who is contacted not infrequently by individuals about suicide, has concern that suicide risk is seemingly higher in US medical graduates.13 This hypothesis should be explored most expeditiously, as it is consistent with data that recent immigrants show a lower incidence of suicide relative to long-term residents of a country. Implicated in this question are concerns of how US medical graduates adjust to the practice of pathology or develop resilience during residency training. How do these trainees adjust to a social structure where the plurality of cotrainees and attending physicians are culturally non-American, especially if trainees have chosen pathology because advisors have suggested pathology because it is “quiet, undemanding, and non–patient contact”?Whatever the drivers, we are morally obligated to discuss depression and suicide in pathology much in the way that other high-risk professions—such as law enforcement, firefighting, and the armed services—are so bound. We need to determine the true risk of depression and subsequent suicide in the field of pathology, and then develop programs to identify, help, and support those at risk. Regrettably, but necessarily, there are also no well-developed guidelines for supporting members of the profession when suicide occurs. We have provided a rough outline of recommendations to accomplish these goals (Table).Action is necessary now—a pathology program lost another recently—not 4 years since we lost one of ours. Pathologists need to embrace the spirit of the Lorna Breen Law16 and take active steps to embrace a wellness leadership process and culture within our profession. The field and practice of pathology can be isolating in healthcare systems; our leadership should proactively work to avoid isolationism in medicine and more effectively engage both patients and clinicians so as to reflect the value and impact of the work of pathologists.

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)0,007
score de la tête « metaresearch » (Gemma)0,037
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,014
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,037
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,004
Communication savante0,0050,009
Science ouverte0,0010,002
Intégrité de la recherche0,0140,018
Charge utile insuffisante (le modèle a refusé de juger)0,0060,002

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 Opus0,070
Tête enseignante GPT0,426
Écart entre enseignants0,356 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
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

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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