Identifying relevant concepts and factors for the sustainability of evidence-based practices within acute care contexts: a systematic review and theory analysis of selected sustainability frameworks
Bibliographic record
Abstract
BACKGROUND: There is growing recognition among healthcare professionals that the sustainability of evidence-based practices (EBPs) within different settings is variable and suboptimal. Understanding why a particular EBP might be sustained in one setting and not another remains unclear. Recent reviews illustrate the need to identify and analyze existing frameworks/models/theories (F/M/Ts) that focus solely on the sustainability of EBPs in specific healthcare settings, such as acute care, to illuminate key determinants and facilitate appropriate selection to guide practice and research. METHODS: We conducted a systematic review to extract sustainability frameworks. This involved using two available syntheses of the literature and a systematic search of four databases from January 2015 to July 2018: CINHAL, MEDLINE, Embase, and ProQuest. We included studies published in English, and if they included sustainability F/M/Ts recommended for use in acute care or an unspecified healthcare organization/setting. F/M/Ts explicitly recommended for use in public health and or community settings were excluded. We then conducted a comparative analysis of F/M/Ts using a modified theory analysis approach, to understand the theoretical underpinnings of each F/M/T, their determinants and concepts hypothesized to influence the sustained use of EBPs within an acute care context. RESULTS: Of 2967 identified citations from the 2 available syntheses and the systematic review, 8 F/M/Ts met the inclusion criteria. We identified 37 core factors, of which 16 were recorded as common factors (occurring within 4 or more of the 8 included F/M/Ts). All factors grouped into 7 main themes: innovation, adopters, leadership and management, inner context, inner processes, outer context, and outcomes. CONCLUSIONS: This systematic review is the first to include a comprehensive analysis of healthcare sustainability F/M/Ts for the sustained use of EBPs in acute care settings. Findings reveal insights into sustainability as a "process or ongoing stage of use" following initial implementation, suggesting this construct should be added to the definition of sustainability. Results provide a resource of available F/M/Ts and hypothesized factors to consider for acute care team members who are planning or currently implementing EBPs with the goal of improving patient outcomes. It also provides a basis for future research on sustainability in acute care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.119 | 0.326 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.015 |
| Bibliometrics | 0.064 | 0.050 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".