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Enregistrement W2340494696 · doi:10.1111/acem.12985

Hot Off the Press: Use of Shared Decision‐making for Management of Acute Musculoskeletal Pain in Older Adults Discharged From the Emergency Department

2016· letter· en· W2340494696 sur OpenAlexaff
Kevin Cullison, Christopher R. Carpenter, William K. Milne

Notice bibliographique

RevueAcademic Emergency Medicine · 2016
Typeletter
Langueen
DomaineHealth Professions
ThématiquePatient-Provider Communication in Healthcare
Établissements canadiensWestern University
Organismes subventionnairesNational Center for Advancing Translational Sciences
Mots-clésMedicineEmergency departmentEthnic groupPain managementEmergency medicinePhysical therapyPsychiatry

Résumé

récupéré en direct d'OpenAlex

The proportion of patients over age 65 who seek care in the emergency department (ED) has been increasing for decades and many of these visits are related to musculoskeletal injury or pain.1, 2 The elderly are less likely to have their pain appropriately assessed and managed in the ED in comparison to younger adults, although sex and ethnic disparities in oligoanalgesia occur across all age groups.3, 4 Emergency medicine resident geriatric core competencies include the assessment and management of pain in accordance with the patient's goals of care.5 In spite of this, the Society for Academic Emergency Medicine Geriatric Task Force identified pain management in the elderly as one condition for which there is a significant quality gap.6 Pain management in aging adults is a complex challenge because physicians must weigh the risks of adverse events due to drug–drug interactions and drug–disease interactions against the harms of ineffective analgesia, which include prolonged functional recovery, length of stay, and pain duration, as well as increased risk of falls or frailty progression.7, 8 Shared decision-making (SDM) may be a viable solution to this challenge as it allows patients to make informed decisions among several reasonable treatment options in a way that helps preserve autonomy and respect individual values.9, 10 This was a prospective study on a convenience sampling of patients over age 60 years old who presented to a single academic ED between September 2012 and April 2015. Patients were interviewed if they had musculoskeletal pain (determined via chart review by the principal investigator) of at least moderate intensity and of less than 1-month duration. Patient's desired degree of inclusion in medical decision-making was quantified using the Control Preferences Scale,11 while the 9-item Shared Decision-Making Questionnaire (SDM-Q-9) assessed individual's perceptions of the degree to which analgesic-choice SDM actually occurred in the ED.12 Patients were ultimately discharged with a prescription for opioids, acetaminophen, or nonsteroidal anti-inflammatory drugs (NSAIDs) and had two additional postdischarge telephone follow-ups: 1) within 1 day to assess their satisfaction with the analgesic selection and their overall impression of whether or not SDM occurred during their ED visit and 2) at 6–10 days to assess their pain symptoms and medication side effects. The primary outcome was the change in pain severity from the time of ED arrival to the 1-week follow-up. Secondary outcomes included patient satisfaction with analgesia decision at time of discharge and patient analgesia satisfaction. There were several limitations to this study. Because this was an observational study rather than a randomized controlled study, the positive impact of SDM on patient satisfaction may be overestimated. Since only a convenience sampling of patients was enrolled, a selection bias favoring those individuals who are more engaged in healthcare decision-making may exist. Although the authors appropriately performed their power analyses a priori and met their enrollment goals, 1-week follow-up was obtained for only 59.9% of patients (94 of 157) introducing possible attrition bias. This was not an interventional study so the actual delivery of SDM was not controlled or evaluated. Instead, this observational study sought to understand how willing older adults would be to engage in SDM and then their perceptions of whether SDM occurred postvisit. The study does not evaluate whether or how the providers actually communicated the comparative effectiveness of different analgesic treatment options to the patients or if patients understood these facets of pain medication options. Finally, the authors used instruments, such as the SDM-Q-9 questionnaire, to evaluate the patient–provider SDM interaction, although this tool has previously been used in primary care setting and it is unclear whether it accurately captures SDM occurrences in ED settings.12 As the authors point out, an alternative approach to evaluating SDM is the "Observing Patient Involvement in Decision-Making" (OPTION) scale, which helps eliminate recall bias through the use of third-party video review.13 The authors observed a mean reduction in pain score of 2.1 points (0–10 scale) between the initial ED visit and 1-week follow-up, although this reduction was not associated with patient perception of SDM as estimated by the SDM-Q-9 tool. SDM was, however, associated with greater patient satisfaction with the chosen analgesic (p = 0.002). There was no association between the degree of SDM and the percentage of patients receiving opioids (p = 0.06), acetaminophen (p = 0.4), or NSAIDs (p = 0.1). In regard to patient preferences in using SDM for analgesic selection, 16% were categorized as "active" for wanting to make their own informed decision, 47% as "passive" for wanting the physician to make the final treatment decision, and the remaining 37% as "collaborative" for preferring a SDM approach with the provider. Patients preferring a more active role in analgesic selection were more likely to be college educated, receive care from a nurse practitioner (as opposed to a physician), and receive care from a female (vs. male) provider. SDM involves an exchange of information between a provider and a patient, followed by a healthcare-related decision based on varying degrees of collaboration between these parties. When considering use of SDM in everyday management decisions involving the elderly population, it is important to assess for and accommodate underlying deficiencies in cognition and health literacy because these issues may impede effective and ethical SDM. Although this study was limited by its observational design, the results suggest that SDM may hold value for managing acute musculoskeletal pain in aging populations. This study also demonstrated that provider-specific characteristics may influence patients' desire to participate in the decision-making process. In the future, the true impact of SDM on optimal analgesic selection in the ED will need to be assessed with a randomized, controlled trial involving a systematic SDM intervention. Source: The Commonwealth Fund (https://medium.com/@CommonwealthFund/is-it-time-to-bring-consumer-data-into-health-care-f4cdf1fd2588#.jyj36x2eg) SDM was associated with increased patient satisfaction for analgesic selection, but not with a change in pain severity or with the type of analgesic prescribed.

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)0,005
score de la tête « metaresearch » (Gemma)0,034
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: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,034
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,158
Tête enseignante GPT0,443
Écart entre enseignants0,285 · 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
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

Citations4
Publié2016
Routes d'admission1
Résumé présentoui

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