ArticleSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society2023
Trends in hospital admission related to poisoning by, narcotics and psychodysleptics and poisoning by antiepileptic, sedative-hypnotic, and antiparkinsonism drugs in England and Wales between April 1999 and April 2020: An ecological study.
Article in Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study aimed to investigate the trend of hospital admissions related to poisoning by narcotics and psychodysleptics and poisoning by antiepileptic, sedative-hypnotic, and antiparkinsonism drugs in England and Wales between April 1999 and April 2020. Methods: An observational ecological study were conducted using data from the Hospital Episode Statistics database in England and the Patient Episode Database for Wales. The rate of hospital admissions with 95% confidence intervals (CIs) was calculated by dividing the number of episodes of poisoning by narcotics and psychodysleptics related admission and poisoning by antiepileptic, sedative-hypnotic, and antiparkinsonism drugs-related admission by the mid-year population from the Office for National Statistics. All analyses were conducted using SPSS version 27. Results: The total annual number of hospital admissions for narcotics and psychodysfunctionals poisonings increased by 1.40-fold [from 15.70 (95% CI 15.36-16.04) in 1999 to 37.64 (95% CI 37.15-38.13) in 2020 per 100,000 people, p < 0.01]. However, the overall annual number of poisonings by antiepileptic, sedative-hypnotic and antiparkinsonism drugs hospital admissions for various reasons decreased by 12.8% [from 33.55 (95% CI 33.05-34.04) in 1999 to 29.26 (95% CI 28.82-29.69) in 2020 per 100,000 persons, p < 0.05]. Poisoning by other opioids (53.2%), heroin (15.1%), and other synthetic narcotics (13.3%) were the most common reasons for narcotic and psychodysfunctional poisoning. While poisoning by benzodiazepines (54.2%) and poisoning: other antiepileptic and sedative-hypnotic drugs (30.7%) were the most common hospital admission reasons for poisoning by antiepileptic, sedative-hypnotic, and antiparkinsonism. Conclusion: Poisoning by narcotics have increased in England and Wales over the study period, however, poisoning by antiepileptic, sedative-hypnotic, and antiparkinsonism drugs in England and Wales were relatively stable during the same period. Future initiatives and awareness programs to prevent harmful use and drug poisoning by narcotics, sedative-hypnotic and other medications are needed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.