ArticleBMC research notes2017
Pattern and predictors of medicine use among households in Gondar Town, northwestern Ethiopia: a community-based medicine utilization study.
Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Roles and barriers of community pharmacy professionals in the prevention and management of noncommunicable diseases in Ethiopia: a systematic review.Frontiers in public health · 2025Pooled it
- Antibiotics non-adherence and its associated factors among households in southern Ethiopia.SAGE open medicine · 2022Article
- Disposal Practices of Unused and Leftover Medicines in the Households of Dhaka Metropolis.Pharmacy (Basel, Switzerland) · 2021Article
- Household Level Drug Utilization and Associated Factors in South Gondar Zone, North Western Ethiopia.Drug, healthcare and patient safety · 2021Article
- Use of Herbal Medicine by Pregnant Women: What Physicians Need to Know.Frontiers in pharmacology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMedicine use can be influenced by several factors. Health managers need specific information about irrational use of medicines, in order to identify opportunities to enhance rational use of medicines in their communities. This study aimed to assess the pattern and factors associated with household medicine use in Gondar town, northwestern Ethiopia.
methodsAn interviewer-administered cross-sectional survey was conducted on 771 households, carried out between 5 April and 6 May 2015. The questionnaire contained items focusing on different aspects of medicine use in the households. The analysis involved descriptive summary and binary logistic regression test, which assessed association of independent variables with medicine use.
resultsOf the households interviewed, 22.4% (173/771) disclosed the presence of at least one chronic disease in the family; while 49.2% reported the use of medicine in the one month prior to the study. Almost all of the households (92.6%) reported a habit of discontinuing medicines, and 17.8% disclosed a practice of sharing medicines with household members and others. Level of education, presence of health professionals, and individuals with chronic illness in the households were linked to increased likelihood of reporting medicine use. Discarding leftover medicines with garbage (56.7%) was the principal means of disposal reported by the households.
conclusionsA high proportion of reported medicine use, together with problems such as sharing with other people and leaving medicines unfinished were found among the households in the study.
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.