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Record W2580695154 · doi:10.1186/s12913-017-2029-2

The role of organizational context in moderating the effect of research use on pain outcomes in hospitalized children: a cross sectional study

2017· article· en· W2580695154 on OpenAlexafffundabout
Janet Yamada, Janet E. Squires, Carole A. Estabrooks, Charles Victor, Bonnie Stevens

Bibliographic record

VenueBMC Health Services Research · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsHospital for Sick ChildrenSickKids FoundationToronto Metropolitan UniversityUniversity of TorontoUniversity of AlbertaUniversity of OttawaOttawa Hospital
FundersCanadian Institutes of Health Research
KeywordsNursing researchContext (archaeology)Organizational cultureHealth administrationOrganizational learningPsychologyKnowledge translationMedicineNursingKnowledge managementPublic healthPublic relations

Abstract

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BACKGROUND: Despite substantial research on pediatric pain assessment and management, health care professionals do not adequately incorporate this knowledge into clinical practice. Organizational context (work environment) is a significant factor in influencing outcomes; however, the nature of the mechanisms are relatively unknown. The objective of this study was to assess how organizational context moderates the effect of research use and pain outcomes in hospitalized children. METHODS: A cross-sectional survey was undertaken with 779 nurses in 32 patient care units in 8 Canadian pediatric hospitals, following implementation of a multifaceted knowledge translation intervention, Evidence-based Practice for Improving Quality (EPIQ). The influence of organizational context was assessed in relation to pain process (assessment and management) and clinical (pain intensity) outcomes. Organizational context was measured using the Alberta Context Tool that includes: leadership, culture, evaluation, social capital, informal interactions, formal interactions, structural and electronic resources, and organizational slack (staff, space, and time). Marginal modeling estimated the effects of instrumental research use (direct use of research knowledge) and conceptual research use (indirect use of research knowledge) on pain outcomes while examining the effects of context. RESULTS: Six of the 10 organizational context factors (culture, social capital, informal interactions, resources, and organizational slack [space and time]) significantly moderated the effect of instrumental research use on pain assessment; four factors (culture, social capital, resources and organizational slack time) moderated the effect of conceptual research use and pain assessment. Only two factors (evaluation and formal interactions) moderated the effect of instrumental research use on pain management. All organizational factors except slack space significantly moderated the effect of instrumental research use on pain intensity; informal interactions and organizational slack space moderated the effect of conceptual research use and pain intensity. CONCLUSIONS: Many aspects of organizational context consistently moderated the effects of instrumental research use on pain assessment and pain intensity, while only a few influenced conceptual use of research on pain outcomes. Organizational context factors did not generally influence the effect of research use on pain management. Further research is required to further explore the relationships between organizational context and pain management outcomes.

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)0.016
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.141
GPT teacher head0.575
Teacher spread0.434 · 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 designObservational
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".

Quick stats

Citations32
Published2017
Admission routes3
Has abstractyes

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