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Record W4386558212 · doi:10.3390/jcm12185832

Effectiveness and Consequences of Direct Access in Physiotherapy: A Systematic Review

2023· review· en· W4386558212 on OpenAlexaboutno aff
Marco Gallotti, Benedetta Campagnola, Antonello Cocchieri, Firas Mourad, John D. Heick, Filippo Maselli

Bibliographic record

VenueJournal of Clinical Medicine · 2023
Typereview
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineReferralObservational studyRandomized controlled trialMEDLINECochrane LibraryPhysical therapyIntervention (counseling)Family medicineSystematic reviewHealth careData extractionNursingSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background. Direct access in physiotherapy (DAPT) occurs when a patient has the ability to self-refer to physical therapy without physician referral. This model of care in musculoskeletal diseases (MSDs) has shown better outcomes than the traditional-based medical model of care that requires physician referral to access physiotherapist services. This traditional physician referral often results in a delay in care. Unfortunately, DAPT is still not permitted in many countries. Objectives. The primary objective of this systematic review was to compare the effectiveness, safety, and the accuracy of DAPT compared to the physician-led model of care for the management of patients with musculoskeletal disorders. The secondary objective of the present study is to define the physiotherapists’ characteristics or qualifications involved in DAPT. Materials and methods. Databases searched included: Medline, Scopus and Web of Science. Databases were searched from their inception to July 2022. Research strings were developed according to the PICO model of clinical questions (patient, intervention, comparison, and outcome). Free terms or synonyms (e.g., physical therapy; primary health care; direct access; musculoskeletal disease; cost-effectiveness) and when possible MeSH (Medical Subject Headings) terms were used and combined with Boolean operators (AND, OR, NOT). Risk of bias assessment was carried out through Version 2 of the Cochrane risk-of-bias tool (ROB-2) for randomized controlled trials (RCTs) and the Newcastle Ottawa Scale (NOS) for observational studies. Authors conducted a qualitative analysis of the results through narrative analysis and narrative synthesis. The narrative analysis was provided for an extraction of the key concepts and common meanings of the different studies, while the summary narrative provided a textual combination of data. In addition, a quantitative analysis was conducted comparing the analysis of the mean and differences between the means. Results. Twenty-eight articles met the inclusion criteria and were analyzed. Results show that DAPT had a high referral accuracy and a reduction in the rate of return visits. The medical model had a higher use of imaging, drugs, and referral to another specialist. DAPT was found to be more cost-effective than the medical model. DAPT resulted in better work-related outcomes and was superior when considering patient satisfaction. There were no adverse events noted in any of the studies. In regard to health outcomes, there was no difference between models. ROB-2 shows an intermediate risk of bias risk for the RCTs with an average of 6/9 points for the NOS scale for observational studies. Conclusion. DAPT is a safe, less expensive, reliable triage and management model of care that results in higher levels of satisfaction for patients compared to the traditional medical model. Prospero Registration Number: CRD42022349261.

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)0.020
metaresearch head score (Gemma)0.101
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.101
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.012
Bibliometrics0.0080.010
Science and technology studies0.0010.002
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.406
GPT teacher head0.698
Teacher spread0.292 · 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 designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations46
Published2023
Admission routes1
Has abstractyes

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