Observational studyBMC health services research2025
Treatment variability for shoulder pain between physician and non-physician clinicians based on initial setting and specific shoulder diagnosis: a health system analysis.
Observational study in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- The supraspinatus fascia: a consistently two-layered structure with nociceptive innervation and differential functional anatomy.Surgical and radiologic anatomy : SRA · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundShoulder pain is common, can arise from various causes and has a highly variable prognosis. Treatment may differ based on the clinician delivering the care and initial care settings (primary, specialty, or emergency care). The purpose of this study was to investigate how the management of shoulder pain differs depending on clinical care settings and clinician type.
methodsThis was an observational cohort study. Using routinely collected health information from Military Health System electronic medical records and claims data, we assessed initial care setting and provider types for common shoulder disorders that occurred between July 1, 2013, and March 31, 2019. We identified shoulder-related care using current procedural terminology (CPT) and ICD-10 diagnosis codes marked in encounters within three months of initial diagnosis. Care was categorized into pharmacological treatment, non-pharmacological treatment, and imaging procedures, and compared across initial care settings and provider types.
resultsThere were 246,041 unique individuals in the cohort with a mean(SD) age of 37.9(12.3) years, 21.9% female, 63.1% on active duty, and 76.3% enlisted. Most patients were initially seen in a primary care setting (80.2%), followed by specialty care (16.7%) and emergency care(3.1%), and 44.4% of the patients were seen by physicians. Across all settings and clinician types, non-specific shoulder diagnosis (i.e. non-specific or unspecified shoulder pain) was the most common (73.9%), followed by rotator cuff-related pain disorders (15.9%), multiple specific diagnoses (3.7%), glenohumeral osteoarthritis (2.0%), and hypomobility disorders (1.8%). Patients who saw a specialty care non-physician were more likely to receive exercise or physical therapy than other clinician-location types, which was fairly consistent across all diagnostic groups.
conclusionDiagnostic subgroups of shoulder pain and initial care settings influence practice variability between physician and non-physician management of shoulder pain. Additionally, three out of every 4 patients received a non-specific shoulder diagnosis. These findings highlight the lack of coding using specific diagnostic labels, which prevents a deeper assessment of care care variability across specific shoulder diagnostic subgroups. Initial care settings should also be considered when exploring variability in care pathways for shoulder disorders.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.