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Record W2793280886 · doi:10.1080/09638288.2018.1430175

Reflections of patients and therapists on a multidisciplinary rehabilitation programme for persons with brachial plexus injuries

2018· article· en· W2793280886 on OpenAlexaff
Renske M. J. Janssen, Ton Satink, Jos IJspeert, Nens van Alfen, Jan T. Groothuis, Tanya Packer, Edith H. C. Cup

Bibliographic record

VenueDisability and Rehabilitation · 2018
Typearticle
Languageen
FieldMedicine
TopicNerve Injury and Rehabilitation
Canadian institutionsDalhousie University
Fundersnot available
KeywordsRehabilitationPerspective (graphical)Psychological interventionOccupational therapyMedicineConsistency (knowledge bases)Multidisciplinary approachQualitative researchPhysical therapyGeneral partnershipPsychologyMultidisciplinary teamNursingMedical educationComputer science

Abstract

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PURPOSE: There is lack of knowledge, evidence, and guidelines for rehabilitation interventions for persons with neuralgic amyotrophy (NA) or brachial plexus pathology. A first pilot study, evaluating the effect of an integrated rehabilitation programme, showed improvements in activity and participation levels. AIM: To gain insight, from the perspective of patients and therapists, into the critical ingredients of the programme, that contributed to improvements in activity and participation. MATERIALS AND METHODS: A qualitative study using semi-structured interviews with eight patients and five therapists (three occupational therapists and two physical therapists). Participants were asked to identify and describe factors regarding the rehabilitation that they perceived as positive and aspects of the programme that could be improved. Data were analysed using a constant comparative approach. RESULTS: Patients reported (1) Time to diagnose: "Finally I'm in the right place;" (2) Awareness: "They gave me a mirror;" (3) Partnership: "There was real contact with the therapists; we made decisions together;" (4) Close collaboration: "Overlapping scopes of practice; doing the same from a different perspective;" and finally (5) Self-management: "Now I can do it myself." Therapists reported (1) "Patients knowledge and understanding is critical to success;" (2) "Activate problem solving and decision making;" (3) "Personalize your therapy; it's more than just giving exercises and information;" (4) "Constant consultation within the team; consistency in messages and approach;" and (5)" Ultimately the patient is in charge." CONCLUSIONS: The critical ingredients, correspond well with each other and include a person-centred approach, education, support in problem solving and decision making and an integrated team approach. These ingredients provided the patients with confidence to take responsibility to manage their everyday lives, the ultimate goal of the programme. Implications for rehabilitation Both patients and therapists believe that the ability to self-manage and take control should be the outcome of high quality integrated rehabilitation programmes for patients with neuralgic amyotrophy and/or other brachial plexus injuries. A person-centred, collaborative, and integrated team approach, among all members of the team, are critical components of care delivery in personalised interventions. Critical programme ingredients are knowledge and education of both the patient and therapists; partnership between patient-therapist and within the team; patient activation and self-reflection; and personalised care. Patients recommend more options for personalisation of the intensity and duration of rehabilitation, the possibility to consult a psychologist and peer support within a group setting.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.007
Scholarly communication0.0040.003
Open science0.0030.009
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.343
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations26
Published2018
Admission routes1
Has abstractyes

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