Exploring unmet healthcare needs, healthcare access, and the use of complementary and alternative medicine by chronic pain sufferers- An analysis of the National Population Health Survey
Notice bibliographique
Résumé
Background: Chronic pain is a condition nurses encounter in their practice often; estimated to affect 1 in 5 Canadian adults, resulting in significant disability, a deleterious impact on health and quality of life, and a large financial and operational burden on the health care system. It is a complex and multifactorial phenomenon that despite research efforts remains poorly understood. Consequently, the focus of chronic pain treatment targets the managementof pain to improve quality of life and reduce suffering as much as possible, rather than a curative approach. Chronic pain has been recognized as one of the most pervasive and challenging conditions to manage by health professions. Subsequently, the treatment of chronic pain is considered an effectiveness gap, or a clinical area where current conventional treatments are not fully effective. As a result, more chronic pain sufferers are turning to Complementary and Alternative Medicine (CAM) to manage their pain, the use of which has increased significantly over the past few decades. Literature suggests unmet healthcare needs can motivate CAM use, and this is directly related to the concept of healthcare access. To the researcher's knowledge, the relationship between CAM use, unmet healthcare needs and healthcare access has not yet been studied within the context of Canadians with chronic pain.\nObjectives: The purpose of this study was to explore the relationship between healthcare access, unmet healthcare needs, and CAM use in adults with chronic pain.\nMethods: A secondary analysis of data from Cycle 9 of the National Population Health Survey. The Behavioural Model of Health Services Utilization was used as a theoretical lens to conduct a binary logistic regression analysis and related descriptive statistics of the sample.\nResults: When controlling for demographics and health status indicators, the presence of unmet healthcare needs was found to predict the use of complementary and alternative medicine (p < 0.001). Healthcare access was not statistically significant in the model. Other statistically significant predictors of CAM use in adults with chronic pain were sex, education, income, employment, and restriction of activities.\nConclusion: Understanding healthcare access and unmet healthcare needs is critical to developing service improvement strategies. This study indicates that people may be engaging in CAM due to shortcomings of the conventional health care system. This has implications for policymakers and healthcare professions to develop strategies to improve chronic pain management. These findings also support the necessity of more research into establishing safe and effective CAM practices via regulatory standards and a sound evidence base to support these therapies.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,004 | 0,008 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».