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This article explored the publication impact of evidence-based healthcare terminology to determine usage and discuss options for low usage terms.
A plethora of terms describe the scholarship of evidence-based healthcare. Several terms are synonyms, creating redundancy and confusion. The abundance and overlap of terms may impede the discovery of evidence.
This discursive article explored and discussed publication impact of evidence-based healthcare terms.
Evidence-based healthcare terms were identified, and their 10-year (2013–2022) publication impact was assessed in the CINAHL and Medline databases. A card sort method was also used to identify terms with low usage.
A total of 18/32 terms were included in the review. The terms evidence-based practice, quality improvement, research and translational research were the most highly published terms. Publication data were presented yearly over a 10-year period. Most terms increased in publication use over time, except for three terms whose use decreased. Several terms related to translational research have multiple synonyms. It remains unknown whether these terms are interchangeable and possibly redundant, or if there are nuanced differences between terms.
We suggest a follow-up review in 3–5 years to identify publication trends to assess context and terms with continued low publication usage. Terms with persistent low usage should be considered for retirement in the reporting of scholarly activities. Additionally, terms with increasing publication trends should be treated as emerging terms that contribute to evidence-based healthcare terminology.
Confusion about the use of appropriate terminology may hinder progress in the scholarship of evidence-based healthcare. We encourage scholars to be aware of publication impact as it relates to the use of specific terminology and be purposeful in the selection of terms used in scholarly projects and publications.
Self-medication with antibiotics (SMA) contributes significantly to the emergence of antimicrobial resistance (AMR), especially in low-income countries including Bangladesh. This study aimed to generate evidence on the self-reported prevalence of antibiotic self-medication and its determinants among indigenous people residing in Bangladesh’s Chittagong Hill Tracts (CHT) districts.
This study used a cross-sectional design with data collected through a survey using a semi-structured questionnaire.
This study was conducted from late January to early July 2021; among different indigenous group populations aged 18 years or more olders residing in the three districts of CHT.
A total of 1336 indigenous people residing in Bangladesh’s CHT districts were included.
The primary outcome measure was SMA while explanatory variables were socio-demographic characteristics, health status of participants, and knowledge of antibiotics usage and its side effects.
Among the study participants, more males (60.54%) than females (51.57%) reported using antibiotics. The SMA rate was high among individuals with education levels below secondary (over 50%) and those in the low-income group (55.19%). The most common diseases reported were cough, cold and fever, with azithromycin being the most frequently used antibiotic. Levels of education, family income, having a chronic illness and place of residence were found to be the significant predictors of having good knowledge of antibiotic use as found in the ordered logit model. Findings from a logistic regression model revealed that men had 1.6 times higher odds (adjusted OR (AOR) 1.57; 95% CI 1.12 to 2.19) of SMA than women. Participants with ≥US$893 per month family income had lowest odds (AOR 0.14; 95% CI 0.03 to 0.64) of SMA than those who earned
Male gender, family income, place of residence and knowledge of antibiotics were the significant predictors of antibiotic self-medication. Hence, it is important to streamline awareness-raising campaigns at the community level to mitigate the practice of SMA in indigenous people and ultimately address the devastating effects of Antimicrobial resistance (AMR) in Bangladesh.
FreshRSS 