Background Shared decision-making is vital in achieving desired drug therapy goals, especially with antibiotics, in view of the potential long-term reduction in drug resistance. However, shared decision-making is rarely practiced with adolescent patients. Objectives The aim of the study was to identify the effect antibiotic education has on willingness to engage in shared decision-making among adolescents in Malaysia. Setting Participants from secondary schools in Malaysia were enrolled with ethical approval. Method The adolescents answered a validated questionnaire, which included demographics, antibiotic knowledge, attitude towards antibiotic use, and the Control Preference Scale, which measures willingness to engage in shared decision-making. Afterwards, antibiotic education was delivered to participating students. Main outcome measure Knowledge about and attitude toward antibiotics were investigated. Results A total of 510 adolescents participated in the study. Knowledge of antibiotics significantly increased post education (pre 3.2 ± 1.8 vs. post 6.8 ± 2.1, p
BACKGROUND: The purpose of this study was to establish baseline information on the current level of knowledge about, attitude toward, and experience with antibiotic usage, and preferences for shared decision making among adolescents in Malaysia.
METHODS: A cross-sectional survey, involving 1,105 respondents who were aged between 13 and 17 years and who lived in Malaysia, was conducted using a validated questionnaire. The survey assessed knowledge, attitude, and experience with regard to antibiotic usage, and adolescents' preferences for the style of shared decision-making process.
RESULTS: The majority (n=786 [71.13%]) of the respondents had a low level of knowledge, 296 (26.79%) had a moderate level of knowledge, and 23 (2.08%) had a high level of knowledge. Further, they demonstrated a slightly negative attitude mean score of 3.30±0.05 (range: 0-8 points) but a positive experience mean score of 2.90±0.029 (range: 0-4 points). There was a positive correlation between knowledge and attitude scores, with a higher knowledge level associated with a more positive attitude toward antibiotic usage (r=0.257, P<0.001). Higher knowledge scores were associated with a more negative experience with antibiotic usage (r=-0.83, P=0.006). When assessing preference in shared decision making, more adolescents preferred an active role (n=408 [37%]) compared with collaborative (n=360 [32.6%]) or passive (n=337 [30.5%]) (P=0.028) roles.
CONCLUSION: Current health care settings should involve adolescents in the decision-making process. Education packages can be introduced to improve adolescents' knowledge of and practice of taking antibiotics, as well as to encourage their participation in decision making, in an attempt to reduce misuse of antibiotics.
Study site: 14 secondary schools, Malaysia
KEYWORDS: antibiotic usage; attitude; experience; knowledge
A reliable seizure detection or prediction device can potentially reduce the morbidity and mortality associated with epileptic seizures. Previous findings indicating alterations in cardiac activity during seizures suggest the usefulness of cardiac parameters for seizure detection or prediction. This study aims to examine available studies on seizure detection and prediction based on cardiac parameters using non-invasive wearable devices. The Embase, PubMed, and Scopus databases were used to systematically search according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Human studies that evaluated seizure detection or prediction based on cardiac parameters collected using wearable devices were included. The QUADAS-2 tool and proposed standards for validation for seizure detection devices were used for quality assessment. Twenty-four articles were identified and included in the analysis. Twenty studies evaluated seizure detection algorithms, and four studies focused on seizure prediction. Most studies used either a wrist-worn or chest-worn device for data acquisition. Among the seizure detection studies, cardiac parameters utilized for the algorithms mainly included heart rate (HR) (n = 11) or a combination of HR and heart rate variability (HRV) (n = 6). HR-based seizure detection studies collectively reported a sensitivity range of 56%-100% and a false alarm rate (FAR) of 0.02-8/h, with most studies performing retrospective validation of the algorithms. Three of the seizure prediction studies retrospectively validated multimodal algorithms, combining cardiac features with other physiological signals. Only one study prospectively validated their seizure prediction algorithm using HRV extracted from ECG data collected from a custom wearable device. These studies have demonstrated the feasibility of using cardiac parameters for seizure detection and prediction with wearable devices, with varying algorithmic performance. Many studies are in the proof-of-principle stage, and evidence for real-time detection or prediction is currently limited. Future studies should prioritize further refinement of the algorithm performance with prospective validation using large-scale longitudinal data. PLAIN LANGUAGE SUMMARY: This systematic review highlights the potential use of wearable devices, like wristbands, for detecting and predicting seizures via the measurement of heart activity. By reviewing 24 articles, it was found that most studies focused on using heart rate and changes in heart rate for seizure detection. There was a lack of studies looking at seizure prediction. The results were promising but most studies were not conducted in real-time. Therefore, more real-time studies are needed to verify the usage of heart activity-related wearable devices to detect seizures and even predict them, which will be beneficial to people with epilepsy.