Exploratory research in clinical and social pharmacy最新文献

Professionalism represents the ethical contract that binds professionals and society. Its technical aspects, such as the professional practice model, form the foundation for attitudinal and behavioral characteristics, including the fiduciary relationship between pharmacists and patients. Despite significant interest in the topic, contextualizing professionalism proves to be a challenging endeavor, relying on collaboration among formal leaders, academics, and practitioners in the field. Consequently, defining, understanding, teaching, and evaluating pharmaceutical professionalism contribute to shape societal perceptions and the understanding of pharmacists and students, who may occasionally struggle to grasp the underlying rationale behind professional practices. Moreover, contextualizing professionalism entails addressing various challenges, such as fostering support for professionalism and its adaptation, which encompasses pharmacists' performance across diverse clinical services, their interpersonal interactions with patients, families, communities, and fellow healthcare professionals, as well as personal job satisfaction amidst obstacles as job insecurity, ethical dilemmas, and compromised autonomy.

Background

Nonsteroidal anti-inflammatory drugs (NSAIDs)-related morbidity and mortality can be reduced through medication counselling and risk reduction.

Objectives

This study evaluated the impact of short online modular NSAID training on the type and quality of questions asked, risk factors assessed, and counselling offered by community pharmacists to NSAID users.

Methods

A cross-sectional questionnaire-guided survey conducted in Ibadan, Nigeria, among 87 pharmacists evaluated the frequency of counselling, NSAID risk factor assessment and barriers to risk assessment. Additionally, a before-and-after RCT was used to evaluate the impact of short online modular NSAID training for the intervention group (IG) on the type and quality of the questions asked, counselling provided, and risk assessed by the pharmacists. Eight standardised patients, aged 25–43 years, four at pre- and postintervention, presented four standardised scenarios at community pharmacies [IG, n = 22, control group (CG, n = 30)] to assess these outcomes. The quality of each outcome (questions asked, counselling offered and risk assessed) was classified as poor (0–≤20%), fair (>20–≤40%), moderate (>40 – ≤60%), or optimal (>60–100%). The data are presented with descriptive statistics.

Results

The community pharmacists reported counselling patients on NSAID precautions (80–86%) and dosages (51–69%). Gastrointestinal bleeding risk was assessed by 61–89% of the pharmacists, and time constraints (39–42%) and patient impatience (47–75%) were some barriers to risk assessment. Online modular educational intervention significantly improved the types and quality of questions asked by pharmacists (CG: poor to fair, 16%–21%; IG: poor to moderate, 14%–45%), NSAID risk factors assessed (CG: poor to poor, 10%–9%; IG: poor to fair, 11%–27%) and counselling offered (CG: poor to poor, 6%–7%; IG: poor to fair, 6%–22%).

Conclusions

Short online modular educational training on NSAIDs improved the types and quality of the questions asked, NSAID risk factors assessed, and counselling provided by community pharmacists to patients during consultations.

Background

Minimizing medication waste through the redispensing of oral anticancer drugs (OADs) that were unused by patients provides economic and environmental benefits, but this is not yet universally implemented in clinical care.

Objective(S)

To identify barriers and facilitators to the implementation of redispensing unused OADs in clinical care.

Methods

A multicentre intervention study following a hybrid effectiveness-implementation type I design was conducted, consisting of semi-structured interviews with key stakeholders involved in the redispensing program: pharmacy employees, prescribing clinicians in oncology and haematology, patients who participated in redispensing and patients who declined trial participation. Questions encompassed experiences and suggestions for future implementation. The Consolidated Framework for Implementation Research (CFIR) guided data collection and categorisation of identified barriers and facilitators through thematic analysis.

Results

In total, 35 interviews were conducted, identifying 15 themes encompassing barriers and facilitators, reflecting all CFIR domains. Facilitators encompassed: 1) convenient process requiring an acceptable time-investment; 2) support from project leaders and implementation champions; 3) being well-motivated by personal values and societal impact; 4) feeling ensured of medication quality upon redispensing; 5) endorsement by healthcare providers for patient participation; 6) clear and personal patient communication; 7) good visibility of intervention successes; and 8) implementation well supported through a collaborative network. Barriers encompassed: 1) unclear target population; 2) redispensing legally prohibited; 3) absence of financial compensation for pharmacies; 4) complexity arising from two parallel work processes; 5) widespread communication on adjustments within local teams challenging; 6) patient's low receptiveness due to burden of oncology treatment; and 7) lack of familiarization among pharmacy technicians.

Conclusions

Facilitators for implementation of redispensing unused drugs mainly related to people's values, motivation, and societal demand, whereas barriers mainly encompassed practical issues, including knowledge, time, financial resources, and legal conditions. Strategies emphasizing the benefits of redispensing and further streamlining process compatibility could support implementation.

Background

Medication review and reconciliation is essential for optimizing drug therapy and minimizing medication errors. Large language models (LLMs) have been recently shown to possess a lot of potential applications in healthcare field due to their abilities of deductive, abductive, and logical reasoning. The present study assessed the abilities of LLMs in medication review and medication reconciliation processes.

Methods

Four LLMs were prompted with appropriate queries related to dosing regimen errors, drug-drug interactions, therapeutic drug monitoring, and genomics-based decision-making process. The veracity of the LLM outputs were verified from validated sources using pre-validated criteria (accuracy, relevancy, risk management, hallucination mitigation, and citations and guidelines). The impacts of the erroneous responses on the patients' safety were categorized either as major or minor.

Results

In the assessment of four LLMs regarding dosing regimen errors, drug-drug interactions, and suggestions for dosing regimen adjustments based on therapeutic drug monitoring and genomics-based individualization of drug therapy, responses were generally consistent across prompts with no clear pattern in response quality among the LLMs. For identification of dosage regimen errors, ChatGPT performed well overall, except for the query related to simvastatin. In terms of potential drug-drug interactions, all LLMs recognized interactions with warfarin but missed the interaction between metoprolol and verapamil. Regarding dosage modifications based on therapeutic drug monitoring, Claude-Instant provided appropriate suggestions for two scenarios and nearly appropriate suggestions for the other two. Similarly, for genomics-based decision-making, Claude-Instant offered satisfactory responses for four scenarios, followed by Gemini for three. Notably, Gemini stood out by providing references to guidelines or citations even without prompting, demonstrating a commitment to accuracy and reliability in its responses. Minor impacts were noted in identifying appropriate dosing regimens and therapeutic drug monitoring, while major impacts were found in identifying drug interactions and making pharmacogenomic-based therapeutic decisions.

Conclusion

Advanced LLMs hold significant promise in revolutionizing the medication review and reconciliation process in healthcare. Diverse impacts on patient safety were observed. Integrating and validating LLMs within electronic health records and prescription systems is essential to harness their full potential and enhance patient safety and care quality.

Background

Artificial intelligence (AI) has the capability to analyze vast amounts of data and has been applied in various healthcare sectors. However, its effectiveness in aiding pharmacotherapy decision-making remains uncertain due to the intricate, patient-specific, and dynamic nature of this field.

Objective

This study sought to investigate the potential of AI in guiding pharmacotherapy decisions using clinical data such as diagnoses, laboratory results, and vital signs obtained from routine patient care.

Methods

Data of a previous study on medication therapy optimization was updated and adapted for the purpose of this study. Analysis was conducted using R software along with the tidymodels extension packages. The dataset was split into 74% for training and 26% for testing. Decision trees were selected as the primary model due to their simplicity, transparency, and interpretability. To prevent overfitting, bootstrapping techniques were employed, and hyperparameters were fine-tuned. Performance metrics such as areas under the curve and accuracies were computed.

Results

The study cohort comprised 101 elderly patients with multiple diagnoses and complex medication regimens. The AI model demonstrated prediction accuracies ranging from 38% to 100% for various cardiovascular drug classes. Laboratory data and vital signs could not be interpreted, as the effect and dependence were unclear for the model. The study revealed that the issue of AI lag time in responding to sudden changes could be addressed by manually adjusting decision trees, a task not feasible with neural networks.

Conclusion

In conclusion, the AI model exhibited promise in recommending appropriate medications for individual patients. While the study identified several obstacles during model development, most were successfully resolved. Future AI studies need to include the drug effect, not only the drug, if laboratory data is part of the decision. This could assist with interpreting their potential relationship. Human oversight and intervention remain essential for an AI-driven pharmacotherapy decision support system to ensure safe and effective patient care.

Background

Australia has a notable gap in guidance for pharmacists, caregivers and disability service providers in: (i) supporting people with disabilities (PWD) within the medication management cycle, (ii) understanding their obligations for providing high quality care, and (iii) preventing medication-related harm.

Objective

The objective of this study was to identify medication management issues for PWD from the perspective of disability caregivers and pharmacists when supporting PWD with their medication.

Methods

A qualitative study design using semi-structured interviews of pharmacists and disability caregivers was undertaken across six different states or territories in Australia.

Results

Interviews were conducted with registered pharmacist participants (n=10), and disability workers (n=10). Seven themes emerged for both pharmacists and caregivers, with most sub-themes and codes concordant between the two cohorts. Clinical issues, particularly related to polypharmacy and psychotropic use; confidence in providing medicines and medication information accurately to PWD; practical and behavioural issues caregivers experienced when administering medication; challenges in providing individualised and person-centred care to PWD; inadequate communication and transfer of information between healthcare professionals, caregivers, and PWD; insufficient disability awareness training for pharmacists and medication training for caregivers; and challenges working with provider organisations within the current practice environment were described.

Conclusions

This study highlighted seven areas where issues were perceived to arise in medication management for PWD. By understanding the issues perceived by those directly providing care, it may be possible to improve medication management. Further research is needed to understand the perceived role of pharmacists in supporting medication management for PWD and their caregivers, and how enabling pharmacists scope might reduce medication-related risks and support QUM in this sector.

Background

Access to healthcare services is a major barrier to residents of the rural state of South Dakota. As a highly accessible member of the healthcare team, outpatient pharmacists can play a key role in a patient's healthcare journey. There is a need to identify the unique barriers and facilitators pharmacists in both rural and urban areas face to maximize the impact of their role.

Objective

The objective of this work was to compare perceptions of rural and urban pharmacists regarding the facilitators and barriers to providing patient care in South Dakota.

Methods

This qualitative project highlights results from interviews and focus group sessions with a convenience sample of South Dakota pharmacists. Participants were recruited using a referral word-of-mouth system, contracts with healthcare market research agencies, newspaper advertisements, and posters displayed in public locations in South Dakota. Practice location was characterized as rural or urban based on United States Department of Agriculture definitions. Findings from interviews and focus group sessions were coded and analyzed using content analysis by two student researchers.

Results

Participants included 12 rural-practicing and 21 urban-practicing pharmacists in South Dakota. In both rural and urban areas, key barriers included communication with providers (50% rural; 50% urban), lack of electronic health record access (25% rural; 14% urban), not enough staff (22% rural; 20% urban), and patient misunderstanding the scope of pharmacy (22% rural; 40% urban). Barriers specific to rural areas included time to provide services (22%), having smaller facilities (27%) and provider hesitation regarding collaborative practice agreements (29%). There were no urban-specific barriers. Facilitators specific to urban areas included frequent communication with patients (6.1%) and good quality support staff (9.1%). There were no rural-specific facilitators.

Conclusions

Next steps include increasing awareness of pharmacy-based patient care services, researching further to identify the extent to which facilitators and barriers influence the ability to initiate and sustain pharmacy services in rural and urban areas, and providing support to pharmacies to overcome barriers and leverage facilitators.

Objective: This study aims to evaluate the effectiveness of the Quality Risk Management (QRM) system in hospital pharmacy intravenous admixture services (PIVAS). Methods: Failure Modes and Effects Analysis (FMEA) and risk matrix methods were used to systematically assess the critical risk points in PIVAS. By collecting and comparing relevant data from 2019 to 2023, key performance indicators (KPIs) before and after the implementation of the QRM system were quantitatively evaluated. Results: The results showed that the safety and efficiency of pharmacy services significantly improved after the implementation of the QRM system. The medication error rate significantly decreased from 3.2% to 1.1%, the average medication preparation time reduced from 15.5 min to 8.2 min, and staff satisfaction increased from 6.0 to 8.5 points. Other indicators, such as cross-contamination rates and handling errors, also showed significant improvement (all outcomes p < 0.001). Discussion: Systematic risk management effectively enhanced the operational performance of PIVAS, reduced medication errors, and improved the quality of healthcare services. This study highlights the key role of QRM in enhancing medication safety and productivity, providing empirical support for the implementation of similar systems in other healthcare institutions.

Introduction: Community pharmacies, as unique and accessible healthcare venues, are ideal locations to implement interventions aiming to improve patient care. However, these interventions may increase workload or disrupt workflow for community pharmacists, technicians, and other staff members, threatening long-term sustainment. There are growing calls from the field of implementation science to design for intervention sustainment and maintenance by maximizing innovation fit. Senior Safe™, an intervention to facilitate safer over-the-counter (OTC) product selection by older adults, serves as a case study to examine the congruence between Innovation Factors and community pharmacy Inner Context constructs and their implications for workload and sustainment.

Methods: Using the Exploration, Preparation, Implementation, Sustainment (EPIS) framework, this qualitative study identified factors surrounding Senior Safe implementation. Semi-structured interviews were conducted with staff from pharmacies where Senior Safe was implemented. Two coders independently analyzed interview transcripts using deductive analysis based on EPIS constructs. Thematic analysis was used to generate three themes that encapsulated innovation fit.

Results: Nineteen pharmacy staff members participated, with the majority reporting no significant change in their workload or workflow due to Senior Safe. Interview feedback supported a pre-existing culture of the healthcare system to engage patients, of leadership commitment to patient safety initiatives, and of an amplified role of pharmacy technicians.

Discussion and Conclusion: Pharmacy staff interviews revealed congruence between Innovation Factors and Inner Context that likely yielded intervention workload neutrality. This study highlighted the importance for researchers to consider maintenance and sustainability when designing and implementing an intervention and the critical influence of culture and leadership support during this process.

Background

Self-medication among university students is becoming a health concern, especially during examinations and stress. This pattern of medication use among students could lead to adverse health consequences if it is not addressed and tackled. Thus, this study investigated the most associated factors with this practice among students.

Methods

An observational cross-sectional study was conducted among university students in Northern Borders Province, Saudi Arabia. A total of 220 students were selected and took part in the survey. Data was collected through a self-administered questionnaire. The survey was distributed among participants to answer five sections: demographic and socioeconomic characteristics, health status problems, satisfaction with academic performance, and self-medication questions. The content validity was tested using a pilot sample of 30 students. The descriptive, univariate, and multivariate analyses were conducted using the Statistical Package for Social Science program.

Results

In the present sample of university students, the response rate was 100%. Approximately one-third reported using medications without prescriptions, and 83% of them have used medications three times at most during the past 12 months. Headache was the most common reason for use (59%), followed by fever (20%). Adjusted multivariate analysis showed that students who were 21–24 years of age (OR = 3.79, 95% CI = 1.21–11.82), female (OR = 2.43, 95% CI = 1.03–5.72), and living alone in private housing (OR = 3.62, 95% CI = 1.32–9.90) were at high risk of self-medication as compared to their counterparts. However, students in the last years of college (fourth (OR = 0.14, 95% CI = 0.03–0.62), fifth (OR = 0.21, 95% CI = 0.05–0.95), sixth (OR = 0.05, 95% CI = 0.01–0.35)) were at lower risk as compared to their counterparts.

Conclusion

The study found that self-medication was common among university students, with higher rates among those who were 21–24 years old, female, and living alone in private housing, but lower rates among students in the later years of college. Educational programs and awareness campaigns should target students who are at higher risk of practicing self-medication to avoid misuse of over-the-counter medications.