Optimization of Drug Prescription and Medication Management in Older Adults with Cardiovascular Disease

Evaluating Large Language Model-Supported Instructions for Medication Use: First Steps Toward a Comprehensive Model

Objective

To assess the support of large language models (LLMs) in generating clearer and more personalized medication instructions to enhance e-prescription.

Patients and Methods

We established patient-centered guidelines for adequate, acceptable, and personalized directions to enhance e-prescription. A dataset comprising 104 outpatient scenarios, with an array of medications, administration routes, and patient conditions, was developed following the Brazilian national e-prescribing standard. Three prompts were submitted to a closed-source LLM. The first prompt involved a generic command, the second one was calibrated for content enhancement and personalization, and the third one requested bias mitigation. The third prompt was submitted to an open-source LLM. Outputs were assessed using automated metrics and human evaluation. We conducted the study between March 1, 2024 and September 10, 2024.

Results

Adequacy scores of our closed-source LLM's output showed the third prompt outperforming the first and second one. Full and partial acceptability was achieved in 94.3% of texts with the third prompt. Personalization was rated highly, especially with the second and third prompts. The 2 LLMs showed similar adequacy results. Lack of scientific evidence and factual errors were infrequent and unrelated to a particular prompt or LLM. The frequency of hallucinations was different for each LLM and concerned prescriptions issued upon symptom manifestation and medications requiring dosage adjustment or involving intermittent use. Gender bias was found in our closed-source LLM's output for the first and second prompts, with the third one being bias-free. The second LLM's output was bias-free.

Conclusion

This study demonstrates the potential of LLM-supported generation to produce prescription directions and improve communication between health professionals and patients within the e-prescribing system.

Effect of Polypharmacy on Clinical Outcomes in Elderly Patients With Non-Valvular Atrial Fibrillation - A Sub-Analysis of the ANAFIE Registry

BACKGROUND

This All Nippon AF in the Elderly (ANAFIE) Registry sub-analysis evaluated the impact of polypharmacy on 2-year outcomes in a large, elderly (aged ≥75 years) Japanese population with non-valvular atrial fibrillation (NVAF).

METHODS AND RESULTS

The ANAFIE Registry was a multicenter, prospective, observational study with a 24-month follow-up period. Of 32,275 enrolled NVAF patients, 31,419 were grouped by the number of prescribed concomitant medications (other than oral anticoagulants [OACs]): 0-4 [38.8%], 5-8 [43.3%], and ≥9 [17.9%]). Patients receiving more concomitant medications were older, had poor renal function, and suffered more comorbidities than those receiving fewer concomitant medications. Several patient background factors, including diabetes mellitus, myocardial infarction, and chronic kidney disease, were significantly correlated with an increased number of concomitant medications. With increasing medications, OAC prescription rates decreased, but the warfarin prescription rate increased, and the cumulative incidence rates of stroke/systemic embolic events (SEE), major bleeding, gastrointestinal bleeding, fracture/falls, cardiovascular events, cardiovascular death, and all-cause death significantly increased (each, P<0.05). In multivariate analysis, increasing medications was independently associated with increases in these events, except for stroke/SEE. There were no significant interactions between the number of medications and anticoagulant treatment with direct OAC or warfarin concerning the incidence of these events.

CONCLUSIONS

Polypharmacy was frequent among elderly patients with NVAF who were older with more comorbidities, and was independently associated with a higher incidence of extracranial events.

Comparing medication adherence using a smartphone application and electronic monitoring among patients with acute coronary syndrome

AIM

The purpose of this study was to determine the extent of agreement between adherence measures obtained using two technological interventions, electronic monitoring (EM) and a smartphone application (App).

BACKGROUND

Clinicians, patients, and researchers depend on valid measurements of medication adherence to inform the delivery of preemptive care when needed. Technology is routinely used for monitoring medication adherence in both clinical practice and research, yet there is a dearth of research comparing novel App based approaches to traditional approaches used for assessing medication adherence.

METHODS

Adherence rates were captured on both the EM and the App for 3697 daily observations from 44 participants with acute coronary syndrome over 90 days immediately following discharge from acute care. For EM, adherence was measured using EM equipped pill bottles. For the App, adherence was measured by having participants upload daily photos to the App prior to taking their daily aspirin. Agreement was assessed using a Bland-Altman analysis.

RESULTS

The mean adherence rate was higher on the App, 92%, than the EM, 78% (p < 0.001). The mean difference in adherence rates between these methods was 14% (95% Confidence Interval: -23%, -5%).

CONCLUSIONS

These findings illustrate a lack of agreement between technological interventions used for measuring adherence in cardiovascular patient populations, with higher adherence rates observed with the App compared to EM. These findings are salient given the increased reliance on telehealth due to the ongoing COVID-19 pandemic.

Is Prescription Nonredemption a Source of Poor Health Among the Roma? Cross-Sectional Analysis of Drug Consumption Data From the National Health Insurance Fund of Hungary

Background: The health status of the Roma is inferior to that of the general population. The causes of poor health among this population are still ambiguous, but they include low utilization of healthcare services. Our study aimed to investigate prescription redemptions in segregated Roma colonies (SRC) where the most disadvantaged quartile of Roma people are living.

Methods: A cross-sectional study was carried out with data obtained from the National Institute of Health Insurance Fund Management in the settlements belonging to the study area of the “Public Health-Focused Model Program for Organizing Primary Care Services.” The study included 4,943 residents of SRC and 62,074 residents of the complementary area (CA) of the settlements where SRC were located. Crude and age- and sex-standardized redemption ratios for SRC and CA were calculated for each Anatomic Therapeutic Chemical (ATC) group and for the total practice by ATC group. Standardized relative redemptions (RR) with 95% confidence intervals were calculated for SRC, with CA as a reference.

Results: The crude redemption ratios were 73.13% in the SRC and 71.15% in the CA. RRs were higher in the SRC than in the CA for cardiovascular, musculoskeletal system, and alimentary tract and metabolism drugs (11.5, 3.7, and 3.5%, respectively). In contrast, RRs were lower in the SRC than in the CA for anti-infective agents (22.9%) due to the poor redemption of medicines prescribed for children or young adults. Despite the overall modest differences in redemption ratios, some ATC groups showed remarkable differences. Those include cardiovascular, alimentary and musculoskeletal drugs.

Conclusion: Redemption of prescriptions was significantly higher among Roma people living in SRC than among those living in CA. The better redemption of cardiovascular and alimentary tract drugs was mainly responsible for this effect. These findings contradict the stereotype that the Roma do not use health services properly and that prescription non-redemption is responsible for their poor health.

Multimorbidity in cardiovascular disease and association with life satisfaction: a Chinese national cross-sectional study

BACKGROUND

The coexistence of multiple chronic conditions is very common in cardiovascular disease (CVD). However, the prevalence of CVD multimorbidity in China and its influence on life satisfaction have not been reported. This study aimed to investigate the proportions of 12 chronic comorbid diseases in CVD and the associations of multimorbidity with life satisfaction in patients with CVD.

METHODS

We conducted a cross-sectional study in a nationally representative sample of 3478 participants with CVD aged 45 years or more who participated in the China Health and Retirement Longitudinal Study 2015. Correlations of multimorbidity with 12 chronic diseases in CVD and life satisfaction were investigated using logistic regression models, after adjusting for 12 covariates.

RESULTS

The proportion of multimorbidity among participants with CVD was 93.3% (89.4% for middle-aged adults and 95.4% for older adults; 92.9% for men and 93.5% for women). The proportion of participants with CVD multimorbidity who were dissatisfied with life was 11.2%, significantly higher than those without any chronic diseases (χ²=5.147, p=0.023). Life satisfaction in patients with CVD decreased with increased number of comorbidities (χ²=45.735, p<0.001). Kidney disease (OR=1.933, 95% CI: 1.483 to 2.521), memory-related diseases (MRDs) (OR=1.695, 95% CI: 1.149 to 2.501) and dyslipidaemia (OR=1.346, 95% CI: 1.048 to 1.729) were significantly associated with reduced life satisfaction when adjusting for 12 covariates.

CONCLUSIONS

In this nationally representative cross-sectional study, life satisfaction was reduced by multimorbidity of CVD. Kidney disease had the greatest influence on life satisfaction in patients with CVD, followed by dyslipidaemia and MRDs. Our study emphasises the importance of preventing of chronic diseases in adults with CVD.

Simplifying Medication Regimens for People Receiving Community-Based Home Care Services: Outcomes of a Non-Randomized Pilot and Feasibility Study

Purpose

Being able to manage a complex medication regimen is key to older people continuing to live at home. This study determined the feasibility of a multi-component intervention to simplify medication regimens for people receiving community-based home care services.

Patients and Methods

Research nurses recruited people receiving community-based home care services to participate in this non-randomized pilot and feasibility study (Australian New Zealand Clinical Trials Registry ACTRN12618001130257). Participants received a one-off clinical pharmacist intervention comprising medication reconciliation, assessment of capacity to self-manage medications, and application of a structured 5-step tool to identify medication simplification opportunities. A mixed-methods feasibility assessment with an explanatory design was undertaken to assess recruitment, protocol adherence and stakeholder acceptability. Data from interviews with 12 stakeholders were thematically analyzed. Secondary outcome measures, including medication discrepancies, and changes in number of medication administration times per day, quality of life, medication adherence and health service utilization, were determined over a 4-month follow-up.

Results

Twenty-five out of the target 50 participants were recruited. Initial recruitment was impacted by apparent uncertain role responsibilities in medication management, with some clients who declined to participate perceiving they would be unlikely to benefit or being reluctant to change regimens. However, with few exceptions, participants who received intervention did so with a high degree of protocol adherence and acceptability. Stakeholders valued the intervention and supported wider implementation. Discrepancies between the baseline medication history from the general medical practitioner and the pharmacist-compiled “best possible medication history” were identified for all participants’ regimens (median of 6 per participant), with one-third resolved at follow-up. Simplification was possible for 14 participants (56%) and implemented for 7 (50%) at follow-up. No significant changes in other secondary outcomes were observed.

Conclusion

The intervention was delivered as planned, and valued by stakeholders. Recruitment barriers should be addressed before wider implementation.

Co-prescription patterns of cardiovascular preventive treatments: a cross-sectional study in the Aragon worker' health study (Spain)

OBJECTIVES

To identify cardiovascular disease (CVD) preventive treatments combinations, among them and with other drugs, and to determine their prevalence in a cohort of Spanish workers.

DESIGN

Cross-sectional study.

SETTING

Aragon Workers' Health Study (AWHS) cohort in Spain.

PARTICIPANTS

5577 workers belonging to AWHS cohort. From these subjects, we selected those that had, at least, three prescriptions of the same therapeutic subgroup in 2014 (n=4605).

PRIMARY AND SECONDARY OUTCOME MEASURES

Drug consumption was obtained from the Aragon Pharmaceutical Consumption Registry (Farmasalud). In order to know treatment utilisation, prevalence analyses were conducted. Frequent item set mining techniques were applied to identify drugs co-prescription patterns. All the results were stratified by sex and age.

RESULTS

42.3% of men and 18.8% of women in the cohort received, at least, three prescriptions of a CVD preventive treatment in 2014. The most prescribed CVD treatment were antihypertensives (men: 28.2%, women 9.2%). The most frequent association observed among CVD preventive treatment was agents acting on the renin-angiotensin system and lipid-lowering drugs (5.1% of treated subjects). Co-prescription increased with age, especially after 50 years old, both in frequency and number of associations, and was higher in men. Regarding the association between CVD preventive treatments and other drugs, the most frequent pattern observed was lipid-lowering drugs and drugs used for acid related disorders (4.2% of treated subjects).

CONCLUSIONS

There is an important number of co-prescription patterns that involve CVD preventive treatments. These patterns increase with age and are more frequent in men. Mining techniques are a useful tool to identify pharmacological patterns that are not evident in the individual clinical practice, in order to improve drug prescription appropriateness.

Contribution of Patient Interviews as Part of a Comprehensive Approach to the Identification of Drug-Related Problems on Geriatric Wards

BACKGROUND

Inappropriate prescribing is linked to increased risks for adverse drug reactions and hospitalisation. Combining explicit and implicit criteria of inappropriate prescribing with the information obtained in patient interviews seems beneficial with regard to the identification of drug-related problems (DRPs) in hospitalised patients.

OBJECTIVE

We aimed to investigate the inclusion of pharmacist interviews as part of medication reviews (including the use of explicit and implicit criteria of inappropriate prescribing) to identify DRPs in older inpatients.

METHODS

Clinical medication reviews were performed on geriatric and associated physical and neurological rehabilitation wards in a regional secondary care hospital. Data from electronic medical records, laboratory data, and current treatment regimens were complemented with a novel structured patient interview performed by a clinical pharmacist. The structured interview questioned patients on administration issues, prescribed medication, self-medication, and allergies. The reviews included the use of current treatment guidelines, the Medication Appropriateness Index, the Screening Tool of Older People's Prescriptions (STOPP, v2), and the Screening Tool to Alert to Right Treatment (START, v2). The potential relevance of the DRPs was estimated using the German version of the CLEO tool.

RESULTS

In 110 patients, 595 DRPs were identified, averaging 5.4 per patient (range 0-17). The structured interviews identified 249 DRPs (41.8%), of which 227 were not identified by any other source of information. The majority of DRPs (213/249, i.e. 85.5%) identified by patient interview were estimated to be of minor clinical relevance (i.e. limited adherence, knowledge, quality of life, or satisfaction).

CONCLUSION

We demonstrated that structured patient interviews identified additional DRPs that other sources did not identify. Embedded within a comprehensive approach, the structured patient interviews were needed as data resource for over one-third of all DRPs.