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Record W2967114962 · doi:10.1186/s13012-019-0931-1

Implementation interventions for musculoskeletal programs of care in the active military and barriers, facilitators, and outcomes of implementation: a scoping review

2019· review· en· W2967114962 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueImplementation Science · 2019
Typereview
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsQueen's UniversityCentre for Disability Prevention and RehabilitationUniversity of Ontario Institute of Technology
FundersMitacs
KeywordsPsychological interventionMedicineCINAHLHealth careNursingHealth services researchMultidisciplinary approachKnowledge translationImplementation researchMEDLINEPublic healthKnowledge management

Abstract

fetched live from OpenAlex

BACKGROUND: Musculoskeletal disorders are common in the active military and are associated with significant lost duty days and disability. Implementing programs of care to manage musculoskeletal disorders can be challenging in complex healthcare systems such as in the military. Understanding how programs of care for musculoskeletal disorders have been implemented in the military and how they impact outcomes may help to inform future implementation interventions in this population. METHODS: We conducted a scoping review using the modified Arksey and O'Malley framework to identify literature on (1) implementation interventions of musculoskeletal programs of care in the active military, (2) barriers and facilitators of implementation, and (3) implementation outcomes. We identified studies published in English by searching MEDLINE, CINAHL, Embase, and CENTRAL (Cochrane) from inception to 1 June 2018 and hand searched reference lists of relevant studies. We included empirical studies. We synthesized study results according to three taxonomies: the Effective Practice and Organization of Care (EPOC) taxonomy to classify the implementation interventions; the capability, opportunity, motivation-behavior (COM-B) system to classify barriers and facilitators of implementation; and Proctor et al.'s taxonomy (Adm Policy Ment Health 38:65-76, 2011) to classify outcomes in implementation research. RESULTS: We identified 1785 studies and 16 were relevant. All but two of the relevant studies were conducted in the USA. Implementation interventions were primarily associated with delivery arrangements (e.g., multidisciplinary care). Most barriers or facilitators of implementation were environmental (physical or social). Service and client outcomes indicated improved efficiency of clinical care and improved function and symptomology. Studies reporting implementation outcomes indicated the programs were acceptable, appropriate, feasible, or sustainable. CONCLUSION: Identification of evidence-based approaches for the management of musculoskeletal disorders is a priority for active-duty military. Our findings can be used by military health services to inform implementation strategies for musculoskeletal programs of care. Further research is needed to better understand (1) the components of implementation interventions, (2) how to overcome barriers to implementation, and (3) how to measure implementation outcomes to improve quality of care and recovery from musculoskeletal disorders.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.597
GPT teacher head0.745
Teacher spread0.148 · 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