Exploratory research in clinical and social pharmacy最新文献

Background: Community pharmacists (CPs) are increasingly participating in family planning services (FPS) in different health systems but the underpinnings of effectiveness in these services remain poorly understood and rarely documented.

Objectives This study examined knowledge, attitude and practice (KAP) of FPS among CPs and assessed the impact of an intervention on these indices.

Methods: A nonrandomized controlled trial was conducted using two equivalent groups (n = 61 each) of randomly-selected CPs in Southwestern Nigeria. Intervention comprised a training package for the intervention group followed by a 2-month monitoring of participants' practices. Pre- and post-intervention data were collected using validated questionnaire and analyzed using appropriate descriptive (frequency, percentages, mean) and inferential statistics including chi-square test to examine association between categorical variables, and t-test to compare differences between means at alpha level of 0.05 for all statistical tests.

Results: Pre-intervention knowledge of FPS in both groups was poor with no significant difference in their mean scores [t (120) = 0.34; p = 0.74]. Post-intervention, 79% of intervention group demonstrated good knowledge (controls remained poor), with significant difference in mean knowledge scores across the groups [t (120) = −33.59; p < 0.05*]. Pre-intervention attitude in both control (97%) and intervention group (95%) were negative. Post-intervention, 93% of intervention group exhibited positive attitude (controls remained negative), Mean difference 72.8 [t (120) = −77.21; p < 0.05*]. Preintervention practice scores were poor in control (92%) and intervention (90%) groups. Post-intervention, 83.6% of intervention group had good practice scores (controls remained poor), Mean difference 48.9 [t (120) = −31.0; p < 0.05*].

Conclusion: Pre-intervention scores for KAP of FPS were poor among respondents. All the indices were significantly improved by the study intervention. Policy reforms are recommended to train CPs in the provision of FPS for enhanced reproductive health services.

Background

Drug-related problems (DRPs) are prevalent in critical care settings and can be life-threatening. Involving clinical pharmacists (CP) within the critical care team is recommended to optimize therapy and improve patient survival.

Objective

To classify DRPs identified by a CP in the Intensive Care Unit (ICU) and to assess the impact of CP interventions accepted by physicians on the length of ICU stay and in-hospital survival.

Methods

This study was conducted prospectively at the Medical ICU of Rashid Hospital, a tertiary hospital in Dubai, over a 16-month period from September 2021 to December 2022. The study included patients admitted to ICU during the study period. CP interventions were documented, and DRPs were classified using the modified Pharmaceutical Care Network Europe V.9.1.

Results

During the study period, 1004 interventions were recommended for 200 patients. The majority of these interventions, 92% (n = 922), received physician acceptance, and 82% (n = 820) were fully implemented by the physician. In total, 1033 drug-related problems (DRPs) were identified, with a median of 3 DRPs per patient. The most common DRPs was drug selection (61%), followed by dose selection (22%). There were 337 DRPs related to antimicrobial agents. Interestingly, we noted that when we adjusted for patients' demographic data and the Glasgow Coma Scale severity score, patients who received >4 implemented interventions exhibited lower cumulative hazard of death within 90 days of their ICU stay in comparison to their counterparts (adjusted Hazard Ratio: 0.10, 95% CI of 0.02–0.41; P = 0.027).

Conclusion

The study emphasizes the critical role of CP in the ICU, addressing DRPs, and enhancing overall patient care. Furthermore, it highlights the potential impact of pharmacist interventions in improving patient survival outcomes. This underscores the importance of implementing CP services in ICUs across the UAE.

The advent of modern technologies like Artificial Intelligence(AI), Internet of Things(IoT) and Deep Learning(DL) has ushered in a transformative era in healthcare, offering innovative solutions towards personalized healthcare by enhancing the quality of various medical services. Our proposed methodology involves the development of a BERT-based medical chatbot, leveraging cutting-edge deep learning technology to significantly enhance healthcare communication and accessibility. The traditional challenges faced by medical chatbots, such as imprecise understanding of medical conversations, inaccurate responses to jargon, and the inability to offer personalized feedback, are addressed through the utilization of Bidirectional Encoder Representations from Transformers (BERT). The performance metrics of our chatbot underscore its effectiveness. With an accuracy of 98%, the chatbot ensures a high level of precision in handling medical queries. The precision score of 97% attests to the accuracy and reliability of its responses. The AUC-ROC score of 97% indicates the chatbot's exceptional ability to predict specific diseases based on user queries and symptoms, showcasing its robust predictive power. Furthermore, a recall of 96% demonstrates the chatbot's capability to avoid missing cases in medical diagnoses, ensuring comprehensive coverage of potential conditions. The F1 score of 98% showcases the chatbot's proficiency in delivering accurate and personalized healthcare information, striking a harmonious balance between precision and recall. Our BERT-based medical chatbot not only addresses the limitations of traditional approaches but also achieves a remarkable performance with high accuracy, precision, predictive power, and comprehensive coverage, making it a valuable tool for advancing the quality of healthcare services.

Background

While statin therapy is the preferred treatment for hyperlipidemia, literature supports the low-density lipoprotein (LDL) lowering effects associated with red yeast rice, berberine, and Silybum marianum. Dietary supplements may be perceived as a more affordable alternative to prescription medication.

Objective

We determined cost-effectiveness of generic pravastatin versus single-ingredient dietary supplements in relation to LDL lowering effect.

Methods

Data from meta-analyses and systematic reviews was extracted to calculate pooled weighted mean LDL differences amongst generic pravastatin and single ingredient dietary supplements. The effect was then divided by average 30-day costs and compared amongst agents.

Results

The greatest difference was seen in pravastatin 40 mg [MD -57.88 mg/dL (95%CI: - 64.80 to −50.96)], followed by pravastatin 10 mg [MD -41.30 mg/dL (95%CI: 63.30 to - 19.40)], red yeast rice [MD -25.39 (95%CI: −32.98 to −17.81)], berberine [MD -15.13 (95%CI: −21.78 to −8.48)], and Silybum marianum [MD -9.51 mg/dL (95%CI: −22.13 to - 0.10)]. were divided by mean difference to calculate cost per mg/dL reduction in LDL. Cost-effectiveness was greatest for pravastatin 10 mg [$0.66/mg/dL LDL reduction (range: $0.39 to $1.13)], followed by pravastatin 40 mg [$0.74/mg/dL LDL reduction (range: $0.66 to $0.84)], berberine [$0.81/mg/dL LDL reduction (range: $0.56 to $1.44)], red yeast rice [$0.84/mg/dL reduction (range: $0.67 to $1.13)], and Silybum marianum [$0.88/mg/dL LDL reduction (range: $0.38 to $82.02)].

Conclusion

Pravastatin is most cost-effective in each scenario whether or not prescription insurance is utilized.

Background

Welfare technological solutions such as social robots attempt to meet the growing needs of the healthcare sector. Social robots may be able to respond to the shortage of pharmaceutical personnel at community pharmacies. However, there is a lack of previous studies regarding the use of social robots for medication counselling purposes in a pharmacy setting.

Objectives

The objective of this qualitative study was to explore pharmacists' views on the potential role of social robots in medication counselling.

Methods

Pharmacists, purposively sampled based on having recent experience of counselling customers in community pharmacies in Finland, first acted as customers interacting with the social robot in a simulated setting, before taking part in a focus group where their perspectives were explored. The focus group discussions were conducted in October and November 2022. The qualitative data was transcribed and analysed using reflexive thematic analysis.

Results

The number of participants was eight in total. A main theme of how the robot may either help or harm concerning medication safety within a pharmacy setting was identified. The six sub-themes found, according to pharmacists' views on robot counselling in community pharmacies, are context, digital competence, customer integrity, interaction, pharmacists' professional role and human skills.

Conclusions

According to the study findings, pharmacists experience that the social robot can offer a potential complement to a human pharmacist. The robot is seen as beneficial with respect to certain customer groups and in the light of personnel shortages, and may in the future add to trust, equality, freedom of choice and multilingualism, among other things, in the customer service situation at community pharmacies, thus improving medication safety.

Background

The theory of planned behavior (TPB) postulates that behavioral performance is guided by the intention to perform that behavior, influenced by attitudes, subjective norms, and perceived behavioral control. This framework can be applied to studying interprofessional collaboration among healthcare professionals to enhance patient safety and public health within nursing homes.

Objectives

This study aimed to explore the roles of physicians, pharmacists, and nurses in the interprofessional collaboration process while identifying facilitators and barriers to effective collaboration among healthcare professionals.

Methods

A qualitative interpretative phenomenological analysis (IPA) was carried out. Individual semi-structured interviews were conducted with 19 healthcare professionals. Qualitative data were then integrated and analyzed through the lens of the TPB.

Findings

The IPA revealed the ten following themes, considered as both facilitators and barriers to interprofessional collaboration among healthcare professionals in the nursing home setting: communication, roles and responsibilities, willingness and recognition of collaboration's importance, mutual knowledge, trust, confidence, support from decision-makers, protocols, and technology were considered as facilitators while distance was considered as a barrier.

Conclusion

Enhancing pharmacist-physician collaboration and refining pharmacist-nurse collaboration were essential goals. Intention for collaboration was influenced by attitudes (such as communication and mutual understanding), subjective norms (including support from decision-makers), and perceived behavioral control (such as confidence and adherence to protocols and technology). Addressing these factors could improve collaboration, enhancing residents' quality of life and professionals' sense of achievement.

Introduction

Interest in medication adherence has expanded significantly, especially in relation to the management of hypertension or diabetes in recent years. A scoping review that focuses on medication adherence in the co-morbidity of hypertension and diabetes provides crucial guidance for effective management of these interrelated diseases.

Aim

To conduct a scoping review of factors associated with medication adherence among individuals with co-morbid hypertension and diabetes.

Methods

The evaluation was conducted in accordance with the PRISMA-ScR guidelines to ensure the quality of the study. We searched three databases (Scopus, CINAHL, Medline) and one search engine (Google Scholar) from April 2023 to July 2023 on studies related to medication adherence in co-morbid hypertension and diabetes. Except for reviews there were no restrictions on design, location, and time of study.

Results

In total, 972 studies that were not duplicated were obtained. After eligibility and screening procedures were completed, 31 articles were ultimately included in the scoping review. Medication adherence was significantly affected by patient, condition, therapy, socio-economic and health related factors. Intervention trials revealed that education and counselling by pharmacists, nurses, physicians, diabetes educators, community health workers and the use of telephone to motivate patients significantly improved medication adherence.

Conclusion

This review shows the intricate factors influencing medication adherence in patients with co-morbid hypertension and diabetes, emphasizing the need for tailored interventions involving healthcare professionals, policymakers, and researchers.

Background

Antihyperglycemic drug utilization studies are conducted frequently and describe the uptake of new drug therapies across may jurisdictions. An increasingly important, yet often absent, aspect of these studies is the impact of rurality on drug utilization.

Objective(s)

The objective of this study was to explore the association between place of residence (rural, urban, metropolitan) and the use of dipeptidyl peptidase 4 inhibitors (DPP-4i) for first treatment intensification of type 2 diabetes.

Methods

A retrospective cohort study was conducted from April 1, 2008 to March 31, 2019 of new metformin users. A multivariable logistic regression analysis was performed to determine the association between place of residence (using postal codes) and likelihood of DPP-4i dispensing.

Results

After adjusting for confounders, analysis revealed that rural-dwellers are less likely to have a DPP-4i dispensed, compared with metropolitan-dwellers (aOR:0.64; 95%CI:0.61–0.67) and over-time, the uptake in rural areas was slower.

Conclusions

This study demonstrates that rurality can have an impact on drug therapy decisions at first treatment intensification, with respect to the utilization of new therapies.