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Enregistrement W4402273902 · doi:10.1111/resp.14827

My family and other animals

2024· article· en· W4402273902 sur OpenAlexaboutno aff
Natasha Smallwood

Notice bibliographique

RevueRespirology · 2024
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueHuman-Animal Interaction Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineFamily medicine

Résumé

récupéré en direct d'OpenAlex

Numerous famous authors, including Charles Dickens, TS Eliott and of course James Herriot (also known as James Alfred Wight) have written about their pets or animal experiences in their books or poems. Even incredible rock stars such as Freddie Mercury (‘Delilah’) have sung about their animals, with Freddie stating he loved his cat and her kisses. So, while I am not suggesting that I am a legendary author or singer, I would like to utilize this column to immortalize my beloved dog, Bertie. My dog Bertie. Bertie is my first ever pet. I could not have animals when I was younger because my brother had severe asthma and seemed to be allergic to everything on the planet, including dogs. Thus, as a child I could never understand or empathize with my friends' love of their pets, particularly not the grief they felt when their pet died. There is a famous anonymous quote that says, ‘having a dog will bless you with many of the happiest days of your life, and one of the worst’. While I hope that day is still some time off for Bertie, he has certainly given us scares over recent years. Despite being only a middle-aged dog, his medical history thus far includes moderate mitral regurgitation (on treatment), allergies with recurrent skins infections (on treatment), renal stones leading to obstructive renal failure requiring a cystotomy and further surgery, with post-op sepsis and wound dehiscence. Luckily for me he survived that episode. Luckily for Bertie his ‘mother’ is the kind of person who was more than happy to clean and dress his wounds five times a day and who will pay for a biologic drug (IL-31 blocker), albeit who even knew that dogs were prescribed biologics! Bertie's never-ending catalogue of (expensive) illnesses has given me a whole new understanding of the world. Over the years, I have cared for many patients who have refused hospital admission for respiratory exacerbations because they lived alone and there was no-one to care for their pets. Similarly, patients who have struggled with severe debilitating breathlessness have refused to consider moving into residential aged care facilities because they could not take their beloved animals with them. Both cases clearly demonstrate the immense comfort, love and friendship animals provide to humans, particularly those who are socially isolated and lonely, as so many of our respiratory patients are. Among my own patients, two animal stories are particularly worth noting. I had been looking after a woman ‘Elsa’ (name changed) with end-stage chronic obstructive pulmonary disease (COPD) for many years. Elsa knew that she would probably not survive her next exacerbation, but her main concern was for her 3-year-old dog called Frosty. Elsa was terrified that there was no-one to care for Frosty after her death and that he would be put down, even though he was a young, fit animal. Elsa's story caused deep upset among the clinic staff, so much so, that many of us offered to rehome Frosty when required. In the end Elsa's neighbours also offered to and did rehome Frosty when the time came. The importance of that offer was profound and relieved immense existential distress in Elsa's final months. My other notable patient was a lovely woman named ‘Maria’ who had severe COPD for many years, which had largely been well controlled without exacerbations. Suddenly, Maria's COPD deteriorated requiring four admissions and seven emergency department presentations over 3 months. During these presentations the treating team diagnosed her as being anxious and referred to my severe lung disease clinic for breathlessness management. A careful history (including a veterinary history) identified that Maria's dog had died suddenly 3 months ago. Maria was not anxious, instead she was extremely sad, lonely and grieving. While we could not give her a new dog (nor did she want one), we actively listened, and we provided psychological support to help her, and she did not admit again for over 2 years. In medicine, we are taught to take social histories that focus on exposures (alcohol, tobacco, environment and occupation) and what supports (physical or human) our patients have in place or need at home. And while as respiratory clinicians, we may ask about animals as triggers for allergies or hypersensitivity pneumonitis, we do not routinely ask or think about pets as beloved family members or important social supports. Nevertheless, a recent Canadian study in which primary care health providers were provided education to ask about pets during history taking, identified that asking about pets in the family revealed clinically relevant information, improved communication, and strengthened therapeutic relationships (https://doi.org/10.1177/0046958017734030). Similarly, a recent study from the United States identified that 41% of health professionals working in geriatrics asked about pets and that when they did, prevalent issues included pets impeding care, patients refusing care due to pets, patients' concerns regarding their pets' health, care or need to be rehomed (https://doi.org/10.3389/fpsyg.2022.920559). Both studies, highlight not only the immense importance of considering and asking about pets, but also the need to provide psychosocial and holistic care to our patients with respiratory illness. So, I urge you all to embrace the veterinary history. And for the record, my beloved dog Bertie is undoubtedly the best animal in the world. None declared.

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 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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,963
Score d'incertitude au seuil0,302

Scores Codex et Gemma par catégorie

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

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 Opus0,027
Tête enseignante GPT0,369
Écart entre enseignants0,342 · 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 tête enseignante, 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
GenreEmpirique

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

En bref

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

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