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Enregistrement W2420466805 · doi:10.22605/rrh286

Canadian and American self-treatment of pain: a comparison study

2004· article· en· W2420466805 sur OpenAlexaboutno aff
Cheryl Riley-Doucet, Judith M. Fouladbakhsh, April Hazard Vallerand

Notice bibliographique

RevueRural and Remote Health · 2004
Typearticle
Langueen
DomaineMedicine
ThématiqueComplementary and Alternative Medicine Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePsychologyPhysical therapy

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION: Adults frequently rely on self-treatment modalities to relieve pain that exceeds everyday kinds of pain, such as minor headaches and toothaches. Examples of self-treatment modalities include doctor-prescribed analgesics, non-prescribed over-the counter medications, herbal substances and treatments, and non-drug treatments such as heat, cold and exercise. Self-treatment is often associated with adverse affects related to the improper use of self-treatment substances and the adverse interactions they may produce when combined with other prescribed or non-prescription treatments for pain control. Many adults also use a variety of self-treatment modalities without informing their health care providers. OBJECTIVES: To explore the occurrence of pain and identify pain self-treatment modalities used by members (n = 105) of rural communities from two eastern Canadian provinces. Results of this study were compared with a rural American cohort study in order to explore similarities/differences in patterns of self-treatment of pain between the two countries. METHODS: This descriptive-exploratory study was conducted using a survey method. The design followed that used in a US study by Vallerand, Fouladbakhsh and Templin. Investigators used self-report questionnaires to identify pain self-treatment modalities, pain intensity ratings, pain interference, and the percentage of pain relief in a convenience sample of 105 participants recruited from two Canadian rural communities. Differences in mean scores between Canadian and US data were determined through t-tests. Difference between Canadian and US pain self-treatment modalities were determined using chi2 tests for significance. RESULTS: Canadians reported choosing significantly more non-pharmacological self-treatment modalities of pain control such as heat, cold, exercise/stretching, and massage than did their US counterparts (chi2 = 7.6, p = .006). US participants reported significantly higher percentages of pharmacologic modalities than Canadian participants, ie prescription medications (chi2 = 4.8, p = .03), and over-the counter medications (chi2 = 8.14, p = .004). There was no significant difference between the two countries in the number of herbal supplements taken for pain relief (chi2 = 2.47, p = .12). Canadian participants reported having significantly less pain relief from their current self-treatment regimen than US participants, (t = 13.77, p = .00). In addition, 33% of Canadian participants and 20% of US participants had not informed their primary care practitioner of their self-treatment choices. CONCLUSIONS: This study demonstrates that pain is a common experience for many North American individuals living in rural communities. Comparison of results between Canadian and US cohort studies indicate that rural Canadians may benefit from increasing their knowledge about self-treatment options of pain control. Findings showed that rural Canadians choose more non-pharmacologic self-treatment modalities and have less pain relief than rural US participants by their self-treatment choices. In addition, a significant number of Canadian and US participants had not informed their primary care provider of their self-treatment practices. Community healthcare agencies may need to improve the dissemination of information on how to combine both pharmacologic and non-pharmacologic modalities into self-treatment regimens in order to facilitate more effective pain control for some rural communities. Further study is indicated to examine how the differences found in self-treatment practices between Canadian and US cohort studies relate to the differences between Canadian and US culture and healthcare payment systems.

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,040
Score d'incertitude au seuil0,087

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,004
Études des sciences et des technologies0,0040,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,031
Tête enseignante GPT0,355
Écart entre enseignants0,324 · 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'étudeObservationnel
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

Citations16
Publié2004
Routes d'admission1
Résumé présentoui

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