Influence of Initial Health Care Provider on Subsequent Health Care Utilization for Patients With a New Onset of Low Back Pain: A Scoping Review
Notice bibliographique
Résumé
OBJECTIVE: The aim of this research was to examine the scope of evidence for the influence of a nonmedical initial provider on health care utilization and outcomes in people with low back pain (LBP). METHODS: Using scoping review methodology, we conducted an electronic search of 4 databases from inception to June 2021. Studies investigating the management of patients with a new onset of LBP by a nonmedical initial health care provider were identified. Pairs of reviewers screened titles, abstracts, and eligible full-text studies. We extracted health care utilization and patient outcomes and assessed the methodological quality of the included studies using the Joanna Briggs Institute checklist. Two reviewers descriptively analyzed the data and categorized findings by outcome measure. RESULTS: A total of 26,462 citations were screened, and 11 studies were eligible. Studies were primarily retrospective cohort designs using claims-based data. Four studies had a low risk of bias. Five health care outcomes were identified: medication, imaging, care seeking, cost of care, and health care procedures. Patient outcomes included patient satisfaction and functional recovery. Compared with patients initiating care with medical providers, those initiating care with a nonmedical provider showed associations with reduced opioid prescribing and imaging ordering rates but increased rates of care seeking. Results for cost of care, health care procedures, and patient outcomes were inconsistent. CONCLUSIONS: Prioritizing nonmedical providers at the first point of care may decrease the use of low-value care, such as opioid prescribing and imaging referral, but may lead to an increased number of health care visits in the care of people with LBP. High-quality randomized controlled trials are needed to confirm our findings. IMPACT: This scoping review provides preliminary evidence that nonmedical practitioners, as initial providers, may help reduce opioid prescription and selective imaging in people with LBP. The trend observed in this scoping review has important implications for pathways of care and the role of nonmedical providers, such as physical therapists, within primary health care systems. LAY SUMMARY: This scoping review provides preliminary evidence that nonmedical practitioners, as initial providers, might help reduce opioid prescription and selective imaging in people with LBP. High-quality randomized controlled trials are needed to confirm these findings.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».