Design of a multi-category drug information integration platform for intelligent pharmacy management: A needs analysis study.

A drug store was never just an area to fill personal solution. Patients considered drug specialists to be counsels, somebody who could help them pick an over-the-counter treatment or understanding the portion and directions for a solution. Drug stores, similar to the remainder of the medical services business, are going through changes. Nowadays, one of the main highlights of any structure is the board. The executives give the refinement needed to wrap up any responsibility in a particular way. The executive framework of a drug store can be utilized to deal with most drug store related errands. This report has provided data on the best way to fabricate and execute a Pharmacy Management System. The primary objective of this system is to expand exactness, just as security and proficiency, in the drug shop. This undertaking is focused on the drug store area, determined to offer engaging and reasonable programming answers to assist them with modernizing to rival shops (helping out other equal modules in a similar examination program). This study will clarify the system's thoughts concerning the board issues and arrangements of a drug store. Likewise, this study covers the main parts of the Pharmacy application's investigation, execution, and look.

Willingness of Pharmacists to Prescribe Medication Abortion in California.

Importance: Nearly half of US states have restricted abortion access. Policy makers are exploring pathways to increase access to abortion and reproductive health care more broadly. Since 2016, California pharmacists could prescribe hormonal birth control, providing an opportunity to learn about the implementation of pharmacist-provided reproductive health care. Objective: To explore the feasibility of broadening pharmacist scope of practice to include prescribing medication abortion. Design, Setting, and Participants: A cross-sectional online survey was conducted from October 11 to December 20, 2022, among a convenience sample of California licensed community pharmacists to examine their attitudes toward, knowledge of, and confidence in prescribing hormonal birth control and reports of pharmacy-level practices. Main Outcomes and Measures: Descriptive analyses and log-binomial regression models were used to compare medication abortion and contraceptive provision attitudes by pharmacist and pharmacy characteristics. Results: Among the 316 pharmacists included in the analysis who worked at community pharmacies across California (mean [SD] age, 40.9 [12.0] years; 169 of 285 [59.3%] cisgender women; and 159 of 272 [58.5%] non-Hispanic Asian individuals), most (193 of 280 [68.9%]) indicated willingness to prescribe medication abortion to pharmacy clients if allowed by law. However, less than half were confident in their knowledge of medication abortion (139 of 288 [48.3%]) or their ability to prescribe it (115 of 285 [40.4%]). Pharmacists who indicated that providing access to hormonal birth control as a prescribing provider was important (263 of 289 [91.0%]) and were confident in their ability to prescribe it (207 of 290 [71.4%]) were 3.96 (95% CI, 1.80-8.73) times and 2.44 (95% CI, 1.56-3.82) times more likely to be willing to prescribe medication abortion and to express confidence in doing so, respectively. Although most pharmacists held favorable attitudes toward hormonal birth control, less than half (144 of 308 [46.8%]) worked in a pharmacy that provided prescriptions for hormonal birth control, and 149 who did not reported barriers such as lack of knowledge or training (65 [43.6%]), insufficient staff or time to add new services (58 [38.9%]), and lack of coverage for services (50 [33.6%]). Conclusions and Relevance: The findings of this cross-sectional survey study of California pharmacists suggest that most pharmacists were willing to prescribe medication abortion. However, future efforts to expand pharmacists' scope of practice should include training to increase knowledge and confidence in prescribing medication abortion. Pharmacy-level barriers to hormonal birth control prescription, such as insurance coverage for pharmacist effort, should also be addressed, as they may serve as barriers to medication abortion access.

Multifaceted pharmacist-led interventions in secondary care settings between countries of various income levels: a scoping review protocol.

INTRODUCTION: Clinical pharmacy services often involve multifaceted pharmacist-led interventions. However, current pharmacy practice models vary across different countries. Despite the documented benefits of clinical pharmacy services, the characteristics of pharmacist-led interventions in different countries have not yet been adequately explored and described. Therefore, this protocol outlines the methodology for a proposed scoping review aiming to investigate various types of multifaceted pharmacist-led interventions and the outcomes used to evaluate their effectiveness within secondary care settings. Additionally, the scoping review will map the current evidence surrounding the characteristics of interventions and outcomes reported across various countries of socioeconomic status. METHODS AND ANALYSIS: The scoping review will be conducted according to the JBI Methodology for Scoping Reviews and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Extension for Scoping Reviews. We will systematically search the following electronic databases: MEDLINE (Ovid), CINAHL (EbscoHost), Embase (embase.com), Scopus (scopus.com), Cochrane Library (cochranelibrary.com) and APA PsycInfo (Ovid). Additionally, the reference lists of identified reviews and included full texts will be searched for relevant papers. Grey literature sources, such as International Pharmaceutical Abstracts and the International Pharmaceutical Federation (FIP) website, will be searched. We will include primary studies published in the English language from January 2013 to December 2023, involving secondary care multifaceted pharmacist-led interventions. Two independent reviewers will screen studies against eligibility criteria and use a piloted data extraction form to extract relevant information. We will extract relevant data, complete a tabular summary from each included publication and analyse it. ETHICS AND DISSEMINATION: Ethical approval is not required as we will be using data from publicly available literature sources. Findings will be disseminated in publications and presentations with relevant stakeholders. We aim to map available evidence across the breadth of studies that have reported multifaceted pharmacist-led interventions and their outcomes.

APPE unreadiness - The other side of the coin.

INTRODUCTION: Student readiness for Advanced Pharmacy Practice Experiences (APPEs) has not been explicitly defined in literature or standards. Readiness for APPEs is a programmatic requirement of all schools and colleges of pharmacy (schools), leaving schools to determine their own assessments of APPE readiness. Current literature provides no consensus on the definition of APPE readiness nor the assessments or benchmarks used to evaluate APPE readiness. Schools have an opportunity to improve efforts to identify students at risk for poor APPE performance and provide early intervention. COMMENTARY: Due to a lack of consensus, it may be easier to describe students who are not ready for APPEs than it is to describe students who are APPE ready. APPE unreadiness is defined by the authors as those who require significant preceptor instruction on foundational competencies such as knowledge, skills, and/or attitudes and therefore are unable to meaningfully engage in application-based patient care activities. By adding focus to APPE unreadiness within APPE readiness programs, pharmacy schools may be able to more readily identify and remediate students who are at risk of failing one or more APPE rotations. IMPLICATIONS: We provide four recommendations for schools to consider. These are focused on assessing APPE readiness to qualify and quantify APPE unready students. By assessing APPE unreadiness, schools can make continuous quality improvement to ensure that preceptors, sites, students, and faculty can have the ongoing confidence that APPE students are all ready to meaningfully engage on rotation.

Virtual self-care simulations for third-year pharmacy skills laboratory courses in three institutions.

BACKGROUND AND PURPOSE: This study was designed to determine whether a virtual, self-care activity improved knowledge and confidence in third-year student pharmacists. EDUCATIONAL ACTIVITY AND SETTING: Third-year student pharmacists (n = 386) from three institutions participated in the virtual self-care simulation during their respective practice laboratory course. A pre- and post-assessment collected 10 knowledge and five confidence questions, self-reported on 0-100 scale, mapped to learning outcomes and pharmacy standards. Responses for participants who provided consent and had linked assessments were analyzed. Additionally, students participated in a perception assessment following the simulation with the post-assessment. Each knowledge question was scored as binary (correct/incorrect), presented as percentage, and significance identified with a McNemar's test. Total knowledge score and confidence changes were presented as means with standard deviations and significance with a paired t-test. Student perceptions were presented as frequencies and percentages. FINDINGS: Total knowledge assessment demonstrated a significant improvement (p < 0.001) for the entire cohort of 198 study participants. Upon additional analysis, a single institution led the cohort to significant increase, with variable improvement and significance for each individual question. Confidence improved for the entire cohort of students and at each institution individually. The students perceived the virtual self-care activity favorably. SUMMARY: The third-year student virtual self-care activity improved knowledge and confidence with varying significance between institutions. Future studies will focus on the impact of continued reinforcement of self-care activities on student growth in knowledge and confidence.

Analysis of a Pharmacy Developed, Outpatient Lactation Consultant Initiated Domperidone Programme.

BACKGROUND: Domperidone is a commonly prescribed galactagogue used off-label for lactation insufficiency. Prescriber unfamiliarity or safety concerns can lead to therapeutic delay and potential early breastfeeding discontinuation. To facilitate access, the study site pharmacy department developed a Structured Administration and Supply Arrangement (SASA) for International Board-Certified Lactation Consultants (IBCLC) to screen and initiate domperidone using a checklist. MATERIAL: To validate a domperidone screening tool via analysis of its use and compliance, together with a staff satisfaction survey. METHODS: Records were extracted from the REDCap® database for women with documented domperidone supply between 06/05/2022 and 27/01/2023 and reviewed with medical records. A staff survey was distributed assessing compliance and attitudes towards the SASA. RESULTS: Records of supply revealed that 34% (17/50) of patients were referred to a physician, revealing a discrepancy between database documentation and checklists, as no referrals were documented. Overall staff satisfaction with the SASA was rated 4.6 out of 5. 77.7% (7/9) felt confident counselling and supplying domperidone with the SASA in place. 88.9% (8/9) felt confident using the checklist to identify the appropriateness of therapy and referral to a physician. CONCLUSIONS: The system in place allows the IBCLCs to initiate and supply domperidone in a timely manner to breastfeeding mothers with lactation insufficiency. The support tools, including domperidone SASA, REDCap® documentation database and the checklist domperidone as a Galactagogue Checklist, can be greatly appreciated by the LCs. Continued discussion with IBCLCs to refine and improve the SASA and associated education package will result in more consistent compliance.

Causes and outcomes of at-risk underperforming pharmacy students: implications for policy and practice.

OBJECTIVE: This study aimed to understand the key determinants for poor academic performance of students completing a Bachelor of Pharmacy (BPharm), Bachelor of Pharmacy and Management (BPharmMgmt), or Master of Pharmacy (MPharm) degree. METHODS: Data were collected on pharmacy students who had not met academic progression requirements between 2008 and 2018 at The University of Sydney, Australia. This included: age at the start of pharmacy degree; gender; whether they transferred from another university; whether they were a domestic or international student; Australian Tertiary Admissions Rank upon entry, previous studies in biology, chemistry, or mathematics; show cause triggers (units of study failed); number of show causes; students' written show cause responses; weighted average mark at last show cause or graduation; whether they graduated and were a registered pharmacist; and, the number of years they spent studying the degree. Descriptive studies were used to analyse student characteristics using SPSS software, and student self-reported reasons for poor performance were analysed reflexively using thematic analysis procedures using NVivo. RESULTS: This study included 164 pharmacy students enrolled in a BPharm (79.3%, n = 130), BPharmMgmt (1.2%, n = 2), or MPharm (19.5%, n = 32). Of the students, 54% (n = 88) were men, 81% (n = 133) were domestic students, 15% (n = 24) transferred from another degree program, and 38% (n = 62) graduated from the course. Show cause students were less likely to graduate if they transferred from another degree program (P = 0.0002) or failed more than three units of study (UoS; P < 0.0001). The most commonly failed UoS were related to organic or pharmaceutical chemistry, and the top student self-reported reasons for poor performance was stress/anxiety, physical health, and depression. CONCLUSION: Pharmacy schools should aim to address student foundational knowledge in chemistry, identify at-risk students early using pre-subject testing, and provide better services to address student mental health.

Sociodemographic disparities in sodium-glucose cotransporter-2 inhibitor use among US kidney transplant recipients: An observational study of real-world pharmacy records.

BACKGROUND: Recent clinical trials demonstrate benefits of sodium-glucose cotransporter-2 inhibitors (SGLT2i) in patients with chronic kidney disease, but data on use in kidney transplant (KTx) recipients are limited. METHODS: We examined a novel database linking SRTR registry data for KTx recipients (2000-2021) with outpatient fill records from a large pharmaceutical claims warehouse (2015-2021). Adult (≥18 years) KTx recipients treated with SGLT2i were compared to those who received other noninsulin diabetes medications without SGLT2i. Characteristics associated with SGLT2i use were quantified by multivariable logistic regression (adjusted odds ratio, 95%LCLaOR95%UCL). RESULTS: Among 18 988 KTx recipients treated with noninsulin diabetes agents in the study period, 2224 filled an SGLT2i. Mean time from KTx to prescription was 6.7 years for SGLT2i versus 4.7 years for non-SGLT2i medications. SGLT2i use was more common in Asian adults (aOR, 1.091.311.58) and those aged > 30-59 years (compared with 18-30 years) or with BMI > 35 kg/m2 (aOR, 1.191.411.67), and trended higher with self-pay status. SGLT2i use was lower among KTx recipients who were women (aOR, .79.87.96), Black (aOR, .77.881.00) and other (aOR, .52.751.07) race, publicly insured (aOR, .82.921.03), or with less than college education (aOR, .78.87.96), and trended lower in those age 75 years and older. SGLT2i use in KTx patients increased dramatically in 2019-2021 (aOR, 5.015.636.33 vs. prior years). CONCLUSION: SGLT2i use is increasing in KTx recipients but varies with factors including race, education, and insurance. While ongoing study is needed to define risks and benefits of SGLT2i use in KTx patients, attention should also focus on reducing treatment disparities related to sociodemographic traits.

Performance and robustness of small molecule retention time prediction with molecular graph neural networks in industrial drug discovery campaigns.

This study explores how machine-learning can be used to predict chromatographic retention times (RT) for the analysis of small molecules, with the objective of identifying a machine-learning framework with the robustness required to support a chemical synthesis production platform. We used internally generated data from high-throughput parallel synthesis in context of pharmaceutical drug discovery projects. We tested machine-learning models from the following frameworks: XGBoost, ChemProp, and DeepChem, using a dataset of 7552 small molecules. Our findings show that two specific models, AttentiveFP and ChemProp, performed better than XGBoost and a regular neural network in predicting RT accurately. We also assessed how well these models performed over time and found that molecular graph neural networks consistently gave accurate predictions for new chemical series. In addition, when we applied ChemProp on the publicly available METLIN SMRT dataset, it performed impressively with an average error of 38.70 s. These results highlight the efficacy of molecular graph neural networks, especially ChemProp, in diverse RT prediction scenarios, thereby enhancing the efficiency of chromatographic analysis.

Operational complexities in international clinical trials: a systematic review of challenges and proposed solutions.

OBJECTIVE: International trials can be challenging to operationalise due to incompatibilities between country-specific policies and infrastructures. The aim of this systematic review was to identify the operational complexities of conducting international trials and identify potential solutions for overcoming them. DESIGN: Systematic review. DATA SOURCES: Medline, Embase and Health Management Information Consortium were searched from 2006 to 30 January 2023. ELIGIBILITY CRITERIA: All studies reporting operational challenges (eg, site selection, trial management, intervention management, data management) of conducting international trials were included. DATA EXTRACTION AND SYNTHESIS: Search results were independently screened by at least two reviewers and data were extracted into a proforma. RESULTS: 38 studies (35 RCTs, 2 reports and 1 qualitative study) fulfilled the inclusion criteria. The median sample size was 1202 (IQR 332-4056) and median number of sites was 40 (IQR 13-78). 88.6% of studies had an academic sponsor and 80% were funded through government sources. Operational complexities were particularly reported during trial set-up due to lack of harmonisation in regulatory approvals and in relation to sponsorship structure, with associated budgetary impacts. Additional challenges included site selection, staff training, lengthy contract negotiations, site monitoring, communication, trial oversight, recruitment, data management, drug procurement and distribution, pharmacy involvement and biospecimen processing and transport. CONCLUSIONS: International collaborative trials are valuable in cases where recruitment may be difficult, diversifying participation and applicability. However, multiple operational and regulatory challenges are encountered when implementing a trial in multiple countries. Careful planning and communication between trials units and investigators, with an emphasis on establishing adequately resourced cross-border sponsorship structures and regulatory approvals, may help to overcome these barriers and realise the benefits of the approach. OPEN SCIENCE FRAMEWORK REGISTRATION NUMBER: osf-registrations-yvtjb-v1.

Federal Retail Pharmacy Program Contributions to Bivalent mRNA COVID-19 Vaccinations Across Sociodemographic Characteristics - United States, September 1, 2022-September 30, 2023.

The Federal Retail Pharmacy Program (FRPP) facilitated integration of pharmacies as partners in national efforts to scale up vaccination capacity during the COVID-19 pandemic emergency response. To evaluate FRPP's contribution to vaccination efforts across various sociodemographic groups, data on COVID-19 bivalent mRNA vaccine doses administered during September 1, 2022-September 30, 2023, were evaluated from two sources: 1) FRPP data reported directly to CDC and 2) jurisdictional immunization information systems data reported to CDC from all 50 states, the District of Columbia, U.S. territories, and freely associated states. Among 59.8 million COVID-19 bivalent vaccine doses administered in the United States during this period, 40.5 million (67.7%) were administered by FRPP partners. The proportion of COVID-19 bivalent doses administered by FRPP partners ranged from 5.9% among children aged 6 months-4 years to 70.6% among adults aged 18-49 years. Among some racial and ethnic minority groups (e.g., Hispanic or Latino, non-Hispanic Black or African American, non-Hispanic Native Hawaiian or other Pacific Islander, and non-Hispanic Asian persons), ≥45% of COVID-19 bivalent vaccine doses were administered by FRPP partners. Further, in urban and rural areas, FRPP partners administered 81.6% and 60.0% of bivalent vaccine doses, respectively. The FRPP partnership administered approximately two thirds of all bivalent COVID-19 vaccine doses in the United States and provided vaccine access for persons across a wide range of sociodemographic groups, demonstrating that this program could serve as a model to address vaccination services needs for routine vaccines and to provide health services in other public health emergencies.

Intelligent supervision of PIVAS drug dispensing based on image recognition technology.

Pharmacy Intravenous Admixture Services (PIVAS) are places dedicated to the centralized dispensing of intravenous drugs, usually managed and operated by professional pharmacists and pharmacy technicians, and are an integral part of modern healthcare. However, the workflow of PIVAS has some problems, such as low efficiency and error-prone. This study aims to improve the efficiency of drug dispensing, reduce the rate of manual misjudgment, and minimize drug errors by conducting an in-depth study of the entire workflow of PIVAS and applying image recognition technology to the drug checking and dispensing process. Firstly, through experimental comparison, a target detection model suitable for drug category recognition is selected in the drug-checking process of PIVAS, and it is improved to improve the recognition accuracy and speed of intravenous drug categories. Secondly, a corner detection model for drug dosage recognition was studied in the drug dispensing stage to further increase drug dispensing accuracy. Then the PIVAS drug category recognition system and PIVAS drug dosage recognition system were designed and implemented.

Development of a physical activity prescription course in a Doctor of Pharmacy program.

Pharmacists are increasingly becoming the healthcare professional who interacts most regularly with patients who have diseases or disorders for which exercise is an effective and recommended treatment. With the relative scarcity of clinical exercise physiologists in the United States, pharmacists are expected to provide lifestyle advice to their patients, especially in community (i.e. retail) pharmacy settings, but student pharmacists typically receive no formal or informal training in exercise physiology and prescription. To address this deficit, an elective course was developed to provide student pharmacists with the knowledge and skill set that will enable them to apply evidence-based physical activity guidelines in the pharmacy. The course utilized the Exercise is Medicine resources for chronic diseases and disorders that are routinely encountered in community pharmacies, in addition to analysis of interactions between exercise and medications commonly prescribed for these conditions. After completion of the course, students reported being significantly more comfortable discussing physical activity with their patients compared to the start of the course (P < 0.001). Similarly, at the end of the course, 99% of students reported that they felt confident in their ability to apply evidence-based recommendations of common diseases and disorders to their patients. Postcourse student evaluations clearly demonstrated that student pharmacists viewed the course positively and as essential in their professional training. These data highlight the feasibility and efficacy of improving self-perceptions for the provision of physical activity recommendations via an elective course in physical activity prescription in a Doctor of Pharmacy program.NEW & NOTEWORTHY This study describes a new elective course in physical activity prescription for Doctor of Pharmacy students. After completing the course, students reported improved self-perceptions for the provision of physical activity recommendations. This course fills a gap in pharmacy education and this study provides future directions to improve training in lifestyle modifications.

Scientific writing quality of theses in Medicine and Pharmacy at the University of Bamako (Mali).

AIM: To describe the scientific editorial quality of practice theses defended at the Faculties of Medicine and Pharmacy of Bamako (Mali), during the period 2016-2018. METHODS: This was a cross-sectional study conducted on practice theses in health science, defended between 2016 and 2018, and the electronic version of which was available at the libraries of the Faculties of Medicine and Pharmacy in Bamako. An adjusted STROBE grid was used to measure a scientific editorial conformity score for 18 iso-weighted items of the IMRaD structure (i.e. a total of 18 points). In this way, the scientific editorial quality of practice theses in health sciences was judged to be highly conform (14-18 points), fairly conform (9-13 points), poorly conform (5-8 points), or not conform (<5 points). An ordinal logistic regression model was used to identify determining factors independently associated with the scientific editorial quality of the health sciences practice thesis, with a significance level of 5%. RESULTS: A total of 534 practice theses in health sciences were included in this study, whose scientific editorial quality was judged to be highly or fairly conform (12.2%), poorly conform (43.1%) or not conform (44.8%). These standards scientific editorial conformity, which was higher in a "Medicine" thesis than in a "Pharmacy" thesis (ORa=2.45; IC95% [1.62-3.27], p<=0.05), was attributed to the supervisor's membership of a research structure (ORa=2.88; IC95% [1.6-3.2]; p<0.05). CONCLUSION: The research methodology profile of the practice health sciences thesis supervisor and the thesis section are associated with scientific editorial standard with the IMRaD.

Comparison of time to treatment initiation of specialty medications between an integrated health system specialty pharmacy and external specialty pharmacies.

BACKGROUND: Specialty medications are commonly dispensed through specialty pharmacies equipped to meet unique monitoring and dispensing requirements. Integrated health system specialty pharmacies (HSSPs) coordinate with health system providers to deliver specialty medications to patients and ameliorate barriers to care. However, payors may restrict specialty medication fills to specialty pharmacies external to the health system, potentially leading to delayed treatment. OBJECTIVE: To compare time to treatment initiation among patients whose specialty medications were transferred to external pharmacies and patients whose medications were filled at an internal HSSP. METHODS: This was a retrospective, propensity-matched cohort study examining time to treatment initiation in patients with a specialty medication referral to the University of Kentucky HealthCare Specialty Pharmacy between July 1, 2021, and July 1, 2022. Patients were classified into cohorts by receipt of dispensing services from the internal HSSP or an external specialty pharmacy. Data collected via chart review included insurance type, reason for prescription transfer, dates of service (including prescription order, transfer, and receipt of medication), and whether a prior authorization or clinical intervention was performed. Subgroup analyses were performed for patients requiring a prior authorization or clinical intervention. The Wilcoxon signed-rank test was used to assess for statistically significant differences in time to treatment initiation between cohorts. RESULTS: A total of 560 patients with external transfers were identified for inclusion into the study, and after exclusion criteria were applied, 408 external transfer patients were propensity matched 1:1 to 408 patients with internal fills (total n = 816). Time to treatment initiation was significantly longer in the external transfer cohort as compared with the internal fill cohort, (18 days vs 12 days; P < 0.0001). The internal fill cohort had a greater mean days from provider order to the medication being ready to fill compared with the external transfer cohort (10 days vs 6 days; P < 0.0001). The internal fill cohort had fewer mean days from the medication being ready to fill to patient receipt of the medication as compared with the external transfer cohort (2 days vs 12 days; P < 0.0001). Similar findings were observed in the subgroup analyses. CONCLUSIONS: Average time to treatment initiation was 6 days shorter for patients whose specialty medications were filled at this HSSP compared with externally transferred patients. Delays in therapy can cause a negative impact on patient care and disease state management, with increased concern for specialty populations. The results of this study highlight the need for continued discussion about policies that limit patient choice to in-network pharmacies.

Combining zip code-based population data and pharmacy administrative claims data to create measures of social determinants of health.

BACKGROUND: Social determinants of health (SDoH) are key factors that impact health outcomes. However, there are many barriers to collecting SDoH data (eg, cost of data collection, technological barriers, and lack of standardized measures). Population data may provide an accessible alternative to collecting SDoH data for patients. OBJECTIVE: To explain how population data can be leveraged to create SDoH measures, assess the association of population SDoH measures with diabetic medication adherence, and discuss how understanding a patient's SDoH can inform care plans and patient engagement. METHODS: A nationally representative commercial sample of patients who were aged 18 years and older and met Pharmacy Quality Alliance inclusion criteria for diabetes mellitus were analyzed (N = 37,789). US Census and North American Industry Classification System data were combined with pharmacy administrative claims data to create SDoH measures. Derived measures represent 2 SDoH domains: (1) economic stability (housing density, housing relocation, jobs per resident, and average salary) and (2) health care access and quality (urban/rural classification, distance traveled to prescriber and pharmacy, use of a primary care provider [PCP], and residents per PCP). The association of population SDoH measures with diabetic medication adherence (proportion of days covered) was assessed via logistic regression, which included covariates (eg, sex, age, comorbidities, and prescription plan attributes). RESULTS: As housing density (houses per resident) increased, so did the likelihood of adherence (odds ratio = 1.54, 95% CI = 1.21-1.97, P = 0.001). Relative to patients who did not move, patients who moved once had 0.87 (95% CI = 0.81-0.93, P < 0.001) the odds of being adherent, and patients who moved 2 or more times had 0.82 (95% CI = 0.71-0.95, P = 0.008) the odds of being adherent. Compared with areas with fewer jobs per resident, patients living within a zip code with 0.16 to 0.26 jobs per resident were 1.12 (95% CI = 1.04-1.20, P = 0.002) times more likely to be adherent. Patients who lived in an urban cluster were 1.11 (95% CI = 1.01-1.22, P = 0.037) times more likely to be adherent than patients living in a rural area. Patients who travel at least 25 miles to their prescriber had 0.82 (95% CI = 0.77-0.86, P < 0.001) the odds of being adherent. Community pharmacy users had 0.65 (95% CI = 0.59-0.71, P < 0.001) the odds of being adherent compared with mail order pharmacy users. Patients who had a PCP were 1.26 (95% CI = 1.18-1.34, P < 0.001) times more likely to be adherent to their medication. CONCLUSIONS: Leveraging publicly available population data to create SDoH measures is an accessible option to overcome barriers to SDoH data collection. Derived measures can be used to increase equity in care received by identifying patients who could benefit from assistance with medication adherence.

A primer on quality measurement and reporting in pharmacy benefit plans.

Pharmacy benefit plans in the United States are evaluated on quality measures and other requirements of the government and accrediting organizations. This primer describes the roles of key organizations involved in measuring and reporting quality in pharmacy benefit plans and explains the methods that pharmacy benefit plans use to promote quality of medication use.

Development of machine-learning models using pharmacy inquiry database for predicting dose-related inquiries in a tertiary teaching hospital.

BACKGROUND: Drug-related problems (DRPs) are a significant concern in healthcare. Pharmacists play a vital role in detecting and resolving DRPs to improve patient safety. A pharmacy inquiry program was established in a tertiary teaching hospital to document inquiries about physicians' orders, aimed at preventing potential DRPs or providing medication information during order reviews. OBJECTIVE: We aimed to develop machine-learning models using a pharmacy inquiry database to predict dose-related inquiries based on prescriptions and patient information. METHODS: This retrospective study analyzed 20,393 pharmacy inquiries collected between January 2018 and February 2023. Data included prescription information (drug ingredient, dose, unit, and frequency), patient characteristics (age, sex, weight, and department), and renal function. The inquiries were categorized into two classes: dose-related inquiries (e.g., wrong dose and inappropriate regimen) and non-dose-related inquiries (e.g., inappropriate drug form and administration route). Six machine-learning models were developed: logistic regression, support vector classifier, decision tree, random forest, extreme gradient boosting, and categorical boosting. To evaluate the performance of the models, the area under the receiver operating characteristic curve and the accuracy were compared. RESULTS: The CatBoost model achieved the highest performance (sensitivity: 0.92; accuracy: 0.79). The SHapley Additive exPlanations values highlighted the importance of features in the model predictions, drug ingredients, units, and renal function, in that order. Notably, lower renal function positively contributed to the prediction of dose-related inquiries. Additionally, the subsequent feature importance among drug ingredients showed that drugs such as acetylsalicylic acid, famotidine, metformin, and spironolactone strongly influenced the prediction of dose-related inquiries. CONCLUSION: Machine-learning models that use pharmacy inquiry data can effectively predict dose-related inquiries. Further external validation and refinement of the models are required for broader applications in healthcare settings. These findings provide valuable guidance for healthcare professionals and highlight the potential of machine learning in pharmacists' decision-making.