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Record W2109901777 · doi:10.11124/jbisrir-2012-35

The incidence, prevalence and contributing factors associated with the occurrence of medication errors for children and adults in the community setting: a systematic review

2012· review· en· W2109901777 on OpenAlexaff
Kim Sears, Amanda Ross‐White, Christina Godfrey

Bibliographic record

VenueJBI Library of Systematic Reviews · 2012
Typereview
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsQueen's University
Fundersnot available
KeywordsCINAHLPsycINFOMedicineMEDLINEIncidence (geometry)Data extractionSystematic reviewCritical appraisalMeta-analysisResearch designFamily medicineAlternative medicinePsychiatryPsychological intervention

Abstract

fetched live from OpenAlex

BACKGROUND: Medication delivery is a complex process which provides numerous opportunities for error occurrence. While the community environment presents a unique potential for medication errors, to date, an exploration of these errors had not been conducted. OBJECTIVES: The overall objective of the review was to identify the incidence, prevalence and contributing factors associated with the occurrence of medication errors for children and adults in the community setting. INCLUSION CRITERIA: Studies involving children and adults from the community setting.In this review we considered studies that evaluate the incidence, prevalence and contributing factors associated with the occurrence of medication errors in the community setting for both children and adults.In this review we considered any randomised controlled trials, non-randomised controlled trials, controlled before and after studies, other designs such as cohort, case control studies and descriptive studies. SEARCH STRATEGY: Papers in English between the years 1990-2011 were searched in various scholarly databases, including: CINAHL, Medline, Mosby's Nursing Consult, PsycINFO, and Web of Science. METHODOLOGICAL QUALITY: Full papers were assessed for methodological quality independently by two reviewers using critical appraisal checklists from the Joanna Briggs Institute. DATA COLLECTION: Details of each study included in the review were extracted using an adaptation of the standardised data extraction forms developed by the Joanna Briggs Institute. DATA SYNTHESIS: Meta-analysis was not possible due to methodological and statistical heterogeneity of the included studies. Hence study findings are presented in narrative form. RESULTS: Twenty-one studies were included in the final review. Thirteen studies examined either incidence or prevalence. Ten studies identified contributing factors and five studies reported the frequency of errors. CONCLUSIONS: This study provides the first systematic review of medication error occurrence for children and adults in the community. Evidence emerging for this review highlighted the incomparability within the included studies and current research and thus the inability to make recommendations to advance the science. IMPLICATIONS FOR PRACTICE: Commonly reported causal factors were dosing errors, misreading prescriptions and calculation errors. Therefore, it is recommended that adequate education is provided to ensure that healthcare providers are well equipped to perform the tasks involved in medication delivery. Further recommendations include: 1) ensure workloads within the community setting support safe and reasonable assignments; 2) reinforce communication protocols between healthcare providers and patients regarding medication delivery; and 3) separate and identify look alike and sound alike medications. IMPLICATIONS FOR RESEARCH: For the science in this area to advance, there is a need for standardization on how outcomes are identified and measured within each stage. Therefore, it is recommended that common conceptualizations for these terms be established or agreed upon and a valid tracking system is in place in the community.

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 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)0.033
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.047
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0330.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.137
GPT teacher head0.414
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

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

Citations10
Published2012
Admission routes1
Has abstractyes

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