Prevalence and predictors of non-adherence to short-term antibiotics: A population-based survey

Flash optimization of drug combinations for Acinetobacter baumannii with IDentif.AI-AMR

Antimicrobial resistance (AMR) is an emerging threat to global public health. Specifically, Acinetobacter baumannii (A. baumannii), one of the main pathogens driving the rise of nosocomial infections, is a Gram-negative bacillus that displays intrinsic resistance mechanisms and can also develop resistance by acquiring AMR genes from other bacteria. More importantly, it is resistant to nearly 90% of standard of care (SOC) antimicrobial treatments, resulting in unsatisfactory clinical outcomes and a high infection-associated mortality rate of over 30%. Currently, there is a growing challenge to sustainably develop novel antimicrobials in this ever-expanding arms race against AMR. Therefore, a sustainable workflow that properly manages healthcare resources to ultra-rapidly design optimal drug combinations for effective treatment is needed. In this study, the IDentif.AI-AMR platform was harnessed to pinpoint effective regimens against four A. baumannii clinical isolates from a pool of nine US FDA-approved drugs. Notably, IDentif.AI-pinpointed ampicillin-sulbactam/cefiderocol and cefiderocol/polymyxin B/rifampicin combinations were able to achieve 93.89 ± 5.95% and 92.23 ± 11.89% inhibition against the bacteria, respectively, and they may diversify the reservoir of treatment options for the indication. In addition, polymyxin B in combination with rifampicin exhibited broadly applicable efficacy and strong synergy across all tested clinical isolates, representing a potential treatment strategy for A. baumannii. IDentif.AI-pinpointed combinations may potentially serve as alternative treatment strategies for A. baumannii.

Discrepancy between antibiotic pack sizes and guideline recommendations: a real-world analysis based on claims data

PURPOSE

Antibiotics are often only available in predefined pack sizes, which may not align with guideline recommendations. This can result in leftover pills, leading to inappropriate self-medication or waste disposal, which can both foster the development of antibiotic resistance. The magnitude of inappropriate pack sizes is largely unknown. The objective of this study was to evaluate the potential non-conformity of prescribed antibiotic pack sizes.

METHODS

This retrospective observational study was based on claims data from a large Swiss health insurance company. The study analysed the prescriptions of eleven different antibiotic substances recommended for the five most common indications for antibiotics in Switzerland. All prescriptions for adult outpatients issued by general practitioners in 2022 were included and extrapolated to the entire Swiss population. Potential non-conformity was defined as a mismatch between the total dosage in a pack and the total dosage recommended.

RESULTS

A total of n = 947,439 extrapolated prescriptions were analysed. In 10 of 23 of all analysed substance/indication combinations none of the prescribed packs aligned with the respective guideline recommendation. Considering pack sizes in which the total prescribed dosage of a substance did not correspond to any of the total dosages recommended in at least one of the guidelines, 31.6% of prescriptions were potentially non-conform and an estimated number of 2.7 million tablets were overprescribed.

CONCLUSIONS

We found a large discrepancy between prescribed pack sizes and guideline recommendations. Since inadequately prepacked antibiotics may lead to antibiotic resistance and unnecessary waste, efforts are needed to implement alternatives like exact pill dispensing.

Evaluation of knowledge and practices on antibiotic use: a cross-sectional study on self-reported adherence to short-term antibiotic utilization among patients visiting level-1 hospitals in Lusaka, Zambia

Background

Antimicrobial resistance (AMR) is a global public health problem affecting healthcare systems. Short-term antibiotic non-adherence is thought to be one of the factors contributing to antibiotic resistance. This study aimed to evaluate knowledge and practices towards short-term antibiotic use on self-reported adherence among patients visiting level-1 hospitals in Lusaka, Zambia.

Methods

This was a multicentre institutional-based cross-sectional study conducted among 385 adult participants from 11 September to 30 September 2023 using an adopted structured questionnaire. Analysis of the data involved descriptive and inferential statistics, where significance was determined at P < 0.05.

Results

Of the 335 participants, 56.7% displayed good knowledge and 77.3% low adherence towards antibiotic use. 54.6% thought that antibiotics were effective for viral infections, and 43.9% correctly recognized the definition of AMR. Being in formal employment (crude OR: 2.5, CI: 1.08-5.78, P: 0.032) was significantly associated with a higher likelihood of good knowledge about antibiotics while being divorced (adjusted OR: 2.5, CI: 1.23-6.10, P: 0.013) and having good knowledge (adjusted OR: 2.9, CI: 1.73-5.10, P = 0.048) were significantly associated with a higher likelihood of adherence to antibiotics. Regarding antibiotic practices, half (50. 0%) of the respondents had utilized antibiotics in the previous year while 58.2% had taken antibiotics for addressing a common cold. Furthermore, 74% reported to have bought antibiotics without a prescription.

Conclusions

This study found that participants attending level-1 hospitals had relatively good knowledge and poor adherence towards antibiotic use. Additionally, the participants demonstrated poor antibiotic use practices in almost all statements related to antibiotic usage.

Unveiling the factors influencing public knowledge and behaviours towards medication errors in Jordan: a cross-sectional study

BACKGROUND

Medication errors are preventable incidents resulting from improper use of drugs that may cause harm to patients. They thus endanger patient safety and offer a challenge to the efficiency and efficacy of the healthcare system. Both healthcare professionals and patients may commit medication errors.

METHODS AND OBJECTIVES

A cross-sectional, observational study was designed using a self-developed, self-administered online questionnaire. A sample was collected using convenience sampling followed by snowball sampling. Adult participants from the general population were recruited regardless of age, gender, area of residence, medical history, or educational background in order to explore their practice, experience, knowledge, and fear of medication error, and their understanding of this drug-related problem.

RESULTS

Of the 764 participants who agreed to complete the questionnaire, 511 (66.9%) were females and 295 (38.6%) had a medical background. One-fifth of participants had experienced medication errors, with 37.7% of this segment reporting these medication errors. More than half of all medication errors (84, 57.5%) were minor and thus did not require any intervention. The average anxiety score for all attributes was 21.2 (The highest possible mean was 36, and the lowest possible was 0). The highest level of anxiety was seen regarding the risk of experiencing drug-drug interactions and the lowest levels were around drug costs and shortages. Being female, having no medical background, and having experience with medication errors were the main predictors of high anxiety scores. Most participants (between 67% and 92%) were able to recognise medication errors committed by doctors or pharmacists. However, only 21.2 to 27.5% of participants could recognise medication errors committed by patients. Having a medical background was the strongest predictor of knowledge in this study (P < 0.001).

CONCLUSION

The study revealed that the prevalence of self-reported medication errors was significantly high in Jordan, some of which resulted in serious outcomes such as lasting impairment, though most were minor. Raising awareness about medication errors and implementing preventive measures is thus critical, and further collaboration between healthcare providers and policymakers is essential to educate patients and establish effective safety protocols.

Cross-sectional survey to explore knowledge, attitude, practices and impact of an intervention programme related to antibiotic misuse and self-medication among general population of Pakistan

Objective

The objective of this study is to observe the knowledge, attitude and practices related to antibiotic use, the prevalence of self-medication and non-adherence to the prescribed course of antibiotics across Pakistan.

Method

A cross-sectional quantitative study on knowledge, practices, attitude and adherence to antibiotic therapy was conducted from January 2021 to March 2022 among the adult population living in different areas across Pakistan. Individuals with poor knowledge were selected for video-based intervention programme. Video template produced by WHO to create antibiotic awareness was used for this purpose. A postintervention study was conducted to assess the improvement in their knowledge and practices regarding the use of antibiotics. Paired samples t-test was applied to assess the improvement in postintervention survey scores.

Results

68.9% (n=340/493) of the participants were female and the majority of the sample population was from urban areas. Our study revealed that 39.2% (n=196) of individuals have undergone self-medication with antibiotics in the last 6 months and 42% (n=207) of the total participants were non-adherent to antibiotic treatment plan. Lack of proper information from healthcare professionals was observed to be the most important barrier to antibiotic treatment adherence. The interventional video was shown to 31.64% (n=156/493) of participants who lack proper knowledge about antibiotic use and its associated problems. There appeared to be a significant improvement in the postintervention mean scores of knowledge, practices, attitude and adherence related to antibiotics.

Conclusion

This study highlights the alarming situation of self-medication and non-adherence to antibiotic therapy. To cope with the situation, certain pertinent measures are direly needed before the precious lifesaving antibiotics become useless in eradicating various controllable microbial diseases.

The public's antibiotic use behavioural patterns and their determinants for upper respiratory tract infections: a latent class analysis based on consumer behaviour model in China

Background

The irrational use of antibiotics among the public is a major contributor to antimicrobial resistance (AMR), which is a serious global threat. Prior studies have demonstrated that there are different behavioural patterns regarding antibiotic use among the public, and targeted interventions for subgroups with different behavioural patterns may be more effective. Thus, this study aimed to identify the public's behavioural patterns of antibiotic use for upper respiratory tract infections (URTIs) and their influencing factors.

Methods

A cross-sectional survey was conducted among the general population in Chongqing, China. Consumer decision-making (Consumer Behaviour Model, CBM) was used to assess the public's behaviours regarding antibiotic use, including need recognition, information searching, alternative evaluation, obtaining antibiotics, antibiotic consumption, and postuse evaluation. Furthermore, a latent class analysis was used to identify the underlying behavioural patterns among the public. The identified behavioural patterns of antibiotic use were further linked with individuals' capacity, opportunity, and motivation factors of antibiotic use based on a multinominal logistic regression to explore possible determinants.

Results

A total of 815 respondents were enrolled in the study. The public's irrational use of antibiotics was prevalent, including antibiotic self-medication (39.63%), nonprescription antibiotic purchasing (59.02%), and early stopping of antibiotic prescriptions (76.56%). Participants had inadequate knowledge of antibiotics (Mean = 2.33, SD = 1.71), reported high availability to antibiotics (Mean = 7.13, SD = 2.41), held strong belief in antibiotic effectiveness (Mean = 10.29, SD = 2.71), and demonstrated a high perceived threat of AMR (Mean = 12.30, SD = 3.20). Four behavioural patterns regarding antibiotic use for URTIs were identified, namely, "antibiotic self-medicators" (n = 165, 20.25%), "formal health care seekers" (n = 216, 26.50%), "various treatment users" (n = 198, 24.20%), and "self-medication without antibiotics" (n = 236, 28.96%). Individuals' self-efficacy of antibiotic use, belief in antibiotic effectiveness, awareness of antibiotic side effects, perceived antibiotic availability, social influence, and demographics (age, education, medical insurance, and having a medical background) were significantly associated with the public's different behavioural patterns of antibiotic use for URTIs.

Conclusion

This study calls for collaborative efforts among the public, physicians, policy makers, and the implementation of precise and multifaceted interventions to effectively reduce irrational use of antibiotics in the public. Such interventions include identifying subgroups within the public to provide more targeted education about antibiotics and the management of URTIs, reinforcing the regulation of antibiotic dispensing, and improving physicians' rational antibiotic prescriptions.

Prevalence and Mortality Rates of Acute Kidney Injury among Critically Ill Patients: A Retrospective Study

Acute kidney injury (AKI) poses a significant challenge in critically ill patients. To determine the prevalence, risk factors, and mortality rate of AKI among nonsurgical critically ill patients in Jordan University Hospital, we conducted a retrospective study using a consecutive sampling method, including 457 nonsurgical critically ill patients admitted to the medical intensive care unit (MICU) from January to June 2021. The mean age was 63.8 ± 18 years, with 196 (42.8%) developing AKI during their stay in the MICU. Among AKI nonsurgical patients, pulmonary diseases (n = 52; 34.5%) emerged as the primary cause for admission, exhibiting the highest prevalence, followed by sepsis (n = 40; 20.4%). Furthermore, we found that older age (adjusted OR (AOR): 1.04; 95% confidence interval (CI): 1.04-1.06; p = 0.003), preadmission use of diuretics (AOR: 2.12; 95% CI: 1.06-4.25; p = 0.03), use of ventilators (2.19; 95% CI: 1.12-2.29; p = 0.02), and vasopressor use during MICU stay (AOR: 4.25; 95% CI: 2.1308.47; p = 0.001) were observed to have higher mortality rates. Prior utilization of statins before admission exhibited a significant association with reduced mortality rate (AOR: 0.42; 95% CI: 0.2-0.85; p = 0.02). Finally, AKI was associated with a higher mortality rate during MICU stay (AOR: 2.44; 95% CI: 1.07-5.56; p = 0.03). The prevalence of AKI among nonsurgical patients during MICU stay is higher than what has been reported previously in the literature, which highlights the nuanced importance of identifying more factors contributing to AKI in developing countries, and hence providing preventive measures and adhering to global strategies are recommended.