Perceptions of primary health care physicians about the prescription of antibiotics in Saudi Arabia: Based on the model of Theory of planned behaviour

Design framework to develop sustainable innovations for addressing One Health challenges

The complexity of global health challenges requires integrated approaches that crosses traditional boundaries. One Health (OH) offers a holistic approach to address health issues at the crossroads of human, animal, and environmental domains. Antimicrobial Resistance (AMR), a prime example of a cross-sectoral issue and OH challenge, highlights the need for coordinated interventions that consider multiple stakeholders. Current approaches to improve OH challenges and AMR have limited success, often due to a lack of a structured theoretical approach that informs the design and development of solutions for long-term sustainability. Existing frameworks focus primarily on human or veterinary sectors in isolation, leaving a gap in comprehensive, integrated approaches that align with OH principles. The proposed framework addresses this gap by offering a structured approach to both implementing and evaluating interventions that consider all three sectors. This paper proposes the HEARTf of OHC (Holistic Engagement and Adaptive Responses Theoretical framework of One Health challenges), a user-centered design approach aimed at developing sustainable and innovative OHC interventions. The HEARTf of OHC integrates knowledge from social sciences, computer science, industrial design, pedagogy, and health sciences to create context specific solutions that address the specific needs of end-users in the human, animal, and environmental sectors. Additionally, this paper reviews existing frameworks addressing AMR, identifies limitations and outlines the need for a transdisciplinary approach when tackling OHC. By emphasizing the importance of the user-centered design, transdisciplinarity, and continuous evaluation, the HEARTf of OHC aims to bridge the gap between current strategies and improve the development and evaluation of innovative solutions or services. The HEARTf of OHC is a generalizable framework for the design, implementation, and evaluation of OH interventions, where we use AMR as a case study to demonstrate its application.

Evaluation of antimicrobial resistance surveillance data sources in primary care setting: a scoping review

BACKGROUND

Antimicrobial resistance (AMR) is a global health warning that increases mortality, morbidity, and medical expenses. Effective AMR surveillance is essential to guide interventions and maintain treatment efficacy. While AMR surveillance is studied in various healthcare settings, data sources in primary care settings need to be evaluated.

AIM

To identify the value of utilizing AMR surveillance data in primary care settings to inform community antimicrobial stewardship (AMS) practices.

METHODS

Eligibility criteria included primary studies, randomized and nonrandomised controlled trials, observational studies, surveys, qualitative studies, mixed-method studies, and grey literature in primary care published worldwide from 2001 to 2024.

RESULTS

Our review of 21 included studies emphasized the significance of utilizing AMR surveillance data to enhance clinical care. Clinicians need to better understand the local AMR pattern when prescribing primary care antibiotics. Despite limitations, educational interventions can change prescribing behaviour. AMR increased because local susceptibility data frequently did not inform empirical antibiotic treatment. Digital and geospatial platforms could enhance surveillance with institutional support and standardized data integration.

CONCLUSION

This analysis highlights the need for user-friendly, real-time, and easily accessible data visualization platforms to improve AMR surveillance and AMS in primary care. Addressing data accessibility and providing training and education are crucial elements. Standardising data and utilizing digital technologies can improve decision-making and antibiotic prescribing. These elements must be incorporated into a consistent and adaptive plan for effective AMS interventions and public health outcomes.

Antibiotic Prescribing Decisions for Upper Respiratory Tract Infections Among Primary Healthcare Physicians in China: A Mixed-Methods Approach Based on the Theory of Planned Behavior

Objectives: In China, primary healthcare (PHC) facilities have high antibiotic prescribing rates for upper respiratory tract infections (URTIs), which are primarily viral and self-limited. This study aimed to identify the main factors influencing PHC physicians' antibiotic decisions for URITs based on the theory of planned behavior. Methods: A convergent mixed-methods study was conducted at 30 PHC facilities across Shaanxi Province, China. A total of 108 PHC physicians completed a five-point Likert Scale questionnaire focused on behavioral components of antibiotic prescribing, including attitudes, subjective norms, perceived behavioral control, belief in past experiences, and prescribing intentions. Twenty-two physicians participated in semi-structured interviews. Results: Respondents had a good awareness of AMR (Mean = 4.49) and a weak belief regarding the benefit of antibiotics (Mean = 2.34). The mean score for subjective norms was 3.36, and respondents had good control over their prescribing behavior (Mean = 4.00). A reliance on past prescribing experiences was observed (Mean = 3.34), and physicians' antibiotic prescribing intention was 3.40 on average. Multiple linear regression revealed that physicians showing a more favorable attitude towards antibiotics (p = 0.042) and relying more on their past experiences (p = 0.039) had a higher antibiotic prescribing intention. Qualitative interviews indicated that most physicians would consider prescribing antibiotics when facing diagnostic uncertainty. Low utilization of diagnostic tests, limited effectiveness of training programs, inadequate knowledge of guidelines, and lack of feedback on antibiotic prescriptions all contributed to antibiotic overprescribing. Conclusions: PHC physicians in China demonstrated strong intentions to prescribe antibiotics for URTIs when facing diagnostic uncertainty. Beliefs about antibiotics and previous prescribing behavior were significantly linked to prescribing intentions. Multifaceted interventions that focus on facilitating diagnostic tests, improving the quality of training, effectively implementing clinical guidelines, and providing practical feedback on antibiotic prescriptions may help reduce antibiotic overprescribing in China's PHC facilities.

Why prescribe antibiotics? A systematic review of knowledge, tension, and motivation among clinicians in low-, middle- and high-income countries

Medical professionals such as physicians and veterinarians are responsible for appropriate antimicrobial prescription (AMP) and use. Although seemingly straightforward, the factors influencing antibiotic prescription, a category of antimicrobials, are complex. Many studies have been conducted in the past two decades on this subject. As a result, there is a plethora of empirical evidence regarding the factors influencing clinicians' AMP practices.

AIM

A systematic review of AMR studies on AMP was conducted, condensing findings according to a combination of the Knowledge, Attitude, and Practice (KAP) and Capacity, Opportunity, Motivation-Behavior (COM-B) models. Review findings were then synthesized and analyzed for policy implementation according to the Consolidated Framework for Implementation Research (CFIR).

DESIGN AND METHODOLOGY

A systematic literature review was conducted according to PRISMA guidelines to identify peer-reviewed papers indexed in pre-determined medical science, social sciences, and humanities databases that apply the KAP model in their investigations. Antimicrobial prescription factors were compared and contrasted among low- and middle-income countries (LMICs) and high-income countries (HICs).

FINDINGS

The KAP model is a heuristic and structured framework for identifying and classifying respondents' knowledge. However, other than medical knowledge, factors that influence prescription decision-making can be expanded to include attitudes, perception, personal affinities, professional circumstances, relational pressure, and social norms.

'Why do we have to be the gatekeepers?' Australian general practitioners' knowledge, attitudes and prescribing intentions on e-cigarettes as a smoking cessation aid

BACKGROUND

A significant policy change impacting the availability of nicotine for use in electronic cigarettes (e-cigarettes) in Australia took effect from October 1, 2021. This change meant that nicotine containing liquids for use with e-cigarettes would only be available by prescription from a medical practitioner as part of a smoking cessation plan. This study aimed to explore general practitioners (GPs) perceptions about the role of e-cigarettes, and understand factors informing their intentions to prescribe e-cigarettes as part of a smoking cessation plan.

METHODS

In-depth semi-structured interviews were conducted with thirteen GPs. Purposeful sampling was used to recruit participants. Interviews were audio recorded and transcribed verbatim. Thematic analysis was used to classify, describe and report themes in the data. QSR NVivo was used to aid coding, thematic analysis and retrieval of quotes.

RESULTS

Participants had diverse views on recommending and prescribing e-cigarettes as smoking cessation aids to patients. Some participants were willing to prescribe e-cigarettes to patients if other methods of smoking cessation had not worked but there were concerns, and uncertainty, about the safety and efficacy of e-cigarettes for smoking cessation. There was poor understanding of the current policy and legislation about e-cigarettes in Australia. Mostly the participants in this sample did not feel confident or comfortable to prescribe, or have discussions about e-cigarettes with patients.

CONCLUSION

The participants of this study held diverse attitudes on recommending and prescribing e-cigarettes for smoking cessation. Clarity in guidelines and consumer product information are required to enable GPs to provide consistent and accurate advice to patients that wish to use e-cigarettes as a smoking cessation aid.

Factors contributing to the variation in antibiotic prescribing among primary health care physicians: a systematic review

BACKGROUND

Antibiotic resistance is growing globally. The practice of health professionals when prescribing antibiotics in primary health care settings significantly impacts antibiotic resistance. Antibiotic prescription is a complex process influenced by various internal and external factors. This systematic review aims to summarize the available evidence regarding factors contributing to the variation in antibiotic prescribing among physicians in primary healthcare settings.

METHODS

This systematic review was conducted based on PRISMA guidelines. We included qualitative, quantitative and mixed methods studies that examined factors influencing prescription practice and variability among primary healthcare physicians. We excluded editorials, opinions, systematic reviews and studies published in languages other than English. We searched studies from electronic databases: PubMed, ProQuest Health and Medicine, Web Science, and Scopus. The quality of the included studies was appraised using the Mixed Methods Appraisal Tool (Version 2018). Narrative synthesis was employed to synthesize the result and incorporate quantitative studies.

RESULTS

Of the 1816 identified studies, 49 studies spanning 2000-2023 were eligible for review. The factors influencing antibiotic prescription practice and variability were grouped into physician-related, patient-related, and healthcare system-related factors. Clinical guidelines, previous patient experience, physician experience, colleagues' prescribing practice, pharmaceutical pressure, time pressure, and financial considerations were found to be influencing factors of antibiotic prescribing practice. In addition, individual practice patterns, practice volume, and relationship with patients were also other factors for the variability of antibiotic prescription, especially for intra-physician prescription variability.

CONCLUSION

Antibiotic prescription practice in primary health care is a complex practice, influenced by a combination of different factors and this may account for the variation. To address the factors that influence the variability of antibiotic prescription (intra- and inter-physician), interventions should aim to reduce diagnostic uncertainty and provide continuous medical education and training to promote patient-centred care.

Antimicrobial learning systems: an implementation blueprint for artificial intelligence to tackle antimicrobial resistance

The proliferation of various forms of artificial intelligence (AI) brings many opportunities to improve health care. AI models can harness complex evolving data, inform and augment human actions, and learn from health outcomes such as morbidity and mortality. The global public health challenge of antimicrobial resistance (AMR) needs large-scale optimisation of antimicrobial use and wider infection care, which could be enabled by carefully constructed AI models. As AI models become increasingly useful and robust, health-care systems remain challenging places for their deployment. An implementation gap exists between the promise of AI models and their use in patient and population care. Here, we outline an adaptive implementation and maintenance framework for AI models to improve antimicrobial use and infection care as a learning system. The roles of AMR problem identification, law and regulation, organisational support, data processing, and AI development, assessment, maintenance, and scalability in the implementation of AMR-targeted AI models are considered.

‘Brave Enough’: A Qualitative Study of Veterinary Decisions to Withhold or Delay Antimicrobial Treatment in Pets

Veterinarians sometimes prescribe antimicrobials even when they know or suspect that they are unnecessary. The drivers of this behaviour must be understood to design effective antimicrobial stewardship interventions. Semi-structured interviews were conducted with 22 veterinarians who treated companion animals in Australia. The Theory of Planned Behaviour was used to organise interview themes, focusing on a decision to withhold antimicrobial therapy in the absence of a clear indication. Many background factors influenced antimicrobial-withholding decisions, including the veterinarian’s communication skills, general attitudes towards antimicrobial resistance (AMR), habits and energy levels. Client awareness of AMR and the veterinarian–client relationship were also important. Beliefs about the consequences of withholding antimicrobials (behavioural beliefs) were dominated by fears of the animal’s condition deteriorating and of failing to meet client expectations. These fears, weighed against the seemingly distant consequences of AMR, were major barriers to withholding antimicrobials. Normative beliefs were primarily focused on the expected approval (or disapproval) of the client and of other veterinarians. Control beliefs about the difficulty of withholding antimicrobials centred around client factors, most importantly, their capacity to adequately monitor their animal, to pay for further investigations, or to undertake non-antimicrobial management, such as wound care, at home. The use of antimicrobials by companion animal veterinarians in the absence of a clear indication is often powerfully driven by behavioural beliefs, chiefly, fears of clinical deterioration and of failing to meet client expectations.