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Record W2896204763 · doi:10.1111/inr.12489

Neonatal abstinence syndrome in countries with no to low medical opioid consumption: a scoping review

2018· review· en· W2896204763 on OpenAlexaff
Lenora Marcellus

Bibliographic record

VenueInternational Nursing Review · 2018
Typereview
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAbstinenceConsumption (sociology)MedicineNursingOpioidPsychiatryFamily medicineSociologySocial science

Abstract

fetched live from OpenAlex

AIM: To describe the current state of evidence on the care of neonates with neonatal abstinence syndrome in countries with low to virtually no medical opioid analgesic consumption. BACKGROUND: While access to opioids for medical use improves globally, misuse grows as a health concern. One unintended consequence has been an increase in the incidence of neonatal abstinence syndrome. Because most evidence is generated in countries with adequate opioid analgesic consumption, a picture of evidence in lower opioid-consuming countries is not available. DESIGN: A scoping review methodology was employed and augmented with principles of international development literature review. Electronic database searches (PubMed and CINAHL) located 1106 articles. Google was employed to access an additional 17 non-indexed articles. From the total of 1123 articles located, 27 articles from 15 countries were included. RESULTS: Minimal evidence was produced in low to virtually no medical opioid-consuming countries. Sources were primarily review articles, descriptive, comparative or case reports. Seventy-one per cent of the articles identified at least one specific clinical practice related to the care of infants with neonatal abstinence syndrome. CONCLUSIONS: As opioid analgesic use increases globally, a subsequent increase in neonatal abstinence syndrome is likely. It will be beneficial for providers and policymakers to be proactive in considering implications for neonatal and maternal populations and collaborate with providers who have been gaining experience in this area. A number of these countries are heroin-growing regions and already experiencing issues. IMPLICATIONS FOR NURSING PRACTICE AND HEALTH POLICY: Policymakers may use these findings to support data collection and reporting, context and resource relevant guideline development, and advocacy for inclusion of the maternal-infant population in global opioid research priority setting. International collaboration for establishing gender and culturally appropriate practices globally is critical.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.028
GPT teacher head0.389
Teacher spread0.361 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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