ArticleJournal of patient-reported outcomes2021
Patient-led use of patient-reported outcome measure in self-Management of a Rotator Cuff Injury.
Article in Journal of patient-reported outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
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
4 citing papers in PubMed.
- Article
- A new self-assessment tool following shoulder stabilization surgery, the auto-Walch and auto-Rowe questionnaires.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2023Article
- Nonoperative treatment of distal humerus fractures in the elderly yields satisfactory functional outcomes and low conversion to delayed surgery: a systematic review.JSES reviews, reports, and techniques · 2022Article
- Correction to: Patient-led use of patient-reported outcome measure in self-Management of a Rotator Cuff Injury.Journal of patient-reported outcomes · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
Abstract
introductionThe patient is the person who experiences both the processes and the outcomes of care. Information held by the patient is vital for clinical and self-management, improving health outcomes, delivery of care, organization of health systems, and formulation of health policies. Patient-reported outcome measures (PROMs) play an important role in supporting patient's self-management. This narrative describes a patient-led use of a PROM to self-manage after a rotator cuff injury.
methodsThis is a narrative of a patient who tore the supraspinatus tendon in her right shoulder in an accident. The Disabilities of the Arm, Shoulder and Hand, the DASH questionnaire, was used to monitor and self-manage recovery after the accident. The DASH questionnaire is a self-reported questionnaire that measures the difficulty in performing upper extremity activities and pain in the arm, shoulder or hand. It has been widely used in research studies, but here the patient initiated its use for self-management while waiting for and after rotator cuff surgery. The patient created separate sub-scale scores for function and for pain to answer questions from healthcare providers about her recovery.
resultsThere was noticeable improvement over 3 months of conservative treatment, from a high level of disability of 56 to 39 (score changed 17); however, the scores were nowhere near the general population normative score of 10.1. Surgery improved the score from 39 pre-surgery to 28. Post-surgical interventions included physiotherapy, pain management and platelet-riched plasma treatment (PRP). The score was 14 4 weeks post-PRP.
conclusionsThe patient found the DASH useful in monitoring recovery from a rotator cuff injury (before and after surgery). The DASH contributed to communication with healthcare professionals and supported the clinical management. The DASH questionnaire was able to capture the patient's experience with the injury and surgical recovery, corroborating an improvement in function while there was persistent post-surgical pain.
Identifiers
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Registered trials
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.