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Record W2135974922 · doi:10.1186/1478-4505-10-37

Reporting of feasibility factors in publications on integrated treatment programs for women with substance abuse issues and their children: a systematic review and analysis

2012· review· en· W2135974922 on OpenAlexafffund
Joanna Henderson, Karen Milligan, Alison Niccols, Lehana Thabane, Wendy Sword, Ainsley Smith, Susan E. Rosenkranz

Bibliographic record

VenueHealth Research Policy and Systems · 2012
Typereview
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster UniversityMcMaster Children's HospitalToronto Metropolitan UniversityUniversity of TorontoCentre for Addiction and Mental Health
FundersCanadian Institutes of Health Research
KeywordsIntervention (counseling)Service (business)Service delivery frameworkSystematic reviewPsychologyProcess (computing)Substance abuseService providerMedicineApplied psychologyMedical educationMEDLINEComputer sciencePsychotherapistPsychiatryBusinessPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Implementation of evidence-based practices in real-world settings is a complex process impacted by many factors, including intervention, dissemination, service provider, and organizational characteristics. Efforts to improve knowledge translation have resulted in greater attention to these factors. Researcher attention to the applicability of findings to applied settings also has increased. Much less attention, however, has been paid to intervention feasibility, an issue important to applied settings. METHODS: In a systematic review of 121 documents regarding integrated treatment programs for women with substance abuse issues and their children, we examined the presence of feasibility-related information. Specifically, we analysed study descriptions for information regarding feasibility factors in six domains (intervention, practitioner, client, service delivery, organizational, and service system). RESULTS: On average, fewer than half of the 25 feasibility details assessed were included in the documents. Most documents included some information describing the participating clients, the services offered as part of the intervention, the location of services, and the expected length of stay or number of sessions. Only approximately half of the documents included specific information about the treatment model. Few documents indicated whether the intervention was manualized or whether the intervention was preceded by a standardized screening or assessment process. Very few provided information about the core intervention features versus the features open to local adaptation, or the staff experience or training required to deliver the intervention. CONCLUSIONS: As has been found in reviews of intervention studies in other fields, our findings revealed that most documents provide some client and intervention information, but few documents provided sufficient information to fully evaluate feasibility. We consider possible explanations for the paucity of feasibility information and provide suggestions for better reporting to promote diffusion of evidence-based practices.

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)0.123
metaresearch head score (Gemma)0.440
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.877
Threshold uncertainty score0.653

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1230.440
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0120.011
Bibliometrics0.0570.052
Science and technology studies0.0020.004
Scholarly communication0.0070.007
Open science0.0030.006
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.903
GPT teacher head0.737
Teacher spread0.166 · 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.

Study designSystematic review
DomainReporting
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

Citations20
Published2012
Admission routes2
Has abstractyes

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