ArticleSAGE open medicine2021
Drug-Drug interaction among admitted patients at primary, district and referral hospitals' medical wards in East Gojjam Zone, Amhara Regional State, Ethiopia.
Article in SAGE open medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed, 5 citations in OpenAlex.
- Article
- Determinants t of patient satisfaction with pharmacy services at Felege Hiwot comprehensive specialized hospital, Bahir Dar, Ethiopia.Annals of medicine and surgery (2012) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study was aimed to assess the type, prevalence, characteristics of drug interaction and factors associated from admitted patients in medical wards at primary, district and referral hospitals in East Gojjam Zone, Amhara Regional State, Ethiopia.
methodsA facility-based retrospective cross-sectional study design was conducted among admitted patients in medical wards at different hospitals of East Gojjam Zone from September 2019 to February 2020. Patient-specific data were extracted from patient medical prescription papers using a structured data collection tool. Potential drug-drug interaction was identified using www.drugs.com as drug-drug interaction checker. Data were analyzed using SPSS version 23.0. To identify the explanatory predictors of potential drug-drug interaction, logistic regression analysis was done at a statistical significance level of
resultsOf the total 554 prescriptions, 51.1% were prescribed for females with a mean (±standard deviation) age of 40.85 ± 23.09 years. About 46.4% prescriptions of patients had one or more comorbid conditions, and the most frequent identified comorbid conditions were infectious (18.6%) and cardiac problems (6.3%) with 0.46 ± 0.499 average number of comorbid conditions per patient. Totally, 1516 drugs were prescribed with 2.74 ± 0.848 mean number per patient and range of 2-6. Two hundred and forty-two (43.7%) prescriptions had at least one potential drug-drug interaction, and it was found that 292 drug interactions were presented. Almost half of the drug-drug interaction identified was moderate (50%). Overall, the prevalence rate of drug-drug interaction was 43.7%. Older age (adjusted odds ratio = 8.301; 95% confidence interval (5.51-12.4),
conclusionThe prevalence of potential drug-drug interaction among admitted patients was relatively high. Pharmacodynamic drug-drug interaction was the common mechanism of drug-drug interaction with moderate degree. Therefore, close follow-up of hospitalized patients is highly recommended.
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.