Polypharmacy prevalence in older adults seen in United States physician offices from 2009 to 2016

Teaching Deprescribing and Combating Polypharmacy in the Pharmacy Curriculum: Educational Recommendations from Thematic Analysis of Focus Groups

In the last two decades in the United States (US), the previous research has focused on medication optimization, including polypharmacy. Polypharmacy is associated with several negative outcomes, which may be resolved by deprescribing medications that are no longer necessary. Although deprescribing is a critical aspect of a pharmacist's role, some studies have demonstrated that student pharmacists are less familiar with their future role in deprescribing. Thus, this study aimed to explore student pharmacists' perceptions of deprescribing in the pharmacy curriculum. This qualitative study was conducted with student pharmacists enrolled in three Doctor of Pharmacy (Pharm.D.) programs in the US. The participants, all student pharmacists at the time of the study, were identified via an email requesting their voluntary participation in a focus group study. The focus groups were conducted via an online platform over three months in 2022, and recruitment continued until thematic saturation was obtained. Using thematic analysis, the corpus of the transcribed data was imported into Dedoose^®, a qualitative software that facilitated the analysis. Three themes emerged from the data: (1) the importance of deprescribing; (2) barriers to deprescribing; (3) education recommendations. The data highlight that the student pharmacists believe integrating deprescribing content into the clinical, didactic, and simulation education would help them overcome the identified obstacles. Colleges of pharmacy should consider emphasizing the importance of deprescribing in their curriculum, creating programs to assist future pharmacists in addressing the barriers to deprescribing, and adopting the suggested educational strategies to improve the deprescribing education that is offered.

"There Is Method to This Madness" A Qualitative Investigation of Home Medication Management by Older Adults

OBJECTIVES

This paper explores (1) the systems and processes older adults use to manage medications at home, and (2) the well-being goals of personal interest that motivate them.

METHODS

Qualitative interviews were conducted in the homes of 12 older adults in a small city in the Midwest United States. Interviews were analyzed using inductive template analysis.

RESULTS

The average age of older adults in this study was 74.2 years (SD = 10.5), 66.7% were women. The most prominent home medication management tools used were pill boxes, containers and vials, and medication lists. Routines were often aligned with activities of daily living such as teeth brushing and eating. Their medication management work occurred in contexts of other household members and budget constraints. Routines and practices were sometimes idiosyncratic adaptations and supported goals of maintaining control and decreasing vulnerability.

CONCLUSION

In developing routines for home medication management, older adults developed systems and deliberate processes to make sense of their medication experiences in the context of their home environment and based on available resources.

Nurses' Experiences Concerning Older Adults with Polypharmacy: A Meta-Synthesis of Qualitative Findings

Polypharmacy is an increasing health concern among older adults and results in many health risks. Nurses have an important role to play in supporting medication management and promoting medication safety across different settings. This study aims to provide a meta-synthesis of qualitative studies investigating the perceptions and experiences of nurses in caring for older adults with polypharmacy. Electronic databases including PsycArticles, CINAHL Complete, MEDLINE, and ERIC were searched between September 2001 and July 2022. Potential studies were checked against inclusion and exclusion criteria. We included peer-reviewed studies reporting data on the experiences of nursing staff across different settings. Studies unitizing any qualitative approach were included, and the included studies were reviewed and analyzed using a thematic synthesis approach. Study quality was examined using the Critical Appraisal Skills Programme checklist for qualitative research. A total of nine studies with 91 nurses were included. Four major themes emerged: older adults suffering from polypharmacy, the importance of multidisciplinary teams, nursing roles in caring for older adults, and the complexity and barriers of implementing polypharmacy management. Healthcare professionals should pay attention to the impacts of polypharmacy in older adults' lives and should acknowledge the importance of team-based polypharmacy care in supporting older adults. Nurses play a key role in caring for older adults with polypharmacy, therefore, they should be empowered and be involved in medication management.

A Multisite Qualitative Analysis of Perceived Roles in Medication Safety: Older Adults' Perspectives

Older adults and caregivers play an essential role in medication safety; however, self-perception of their and health professionals' roles in medication safety is not well-understood. The objective of our study was to identify the roles of patients, providers, and pharmacists in medication safety from the perspective of older adults. Semi-structured qualitative interviews were held with 28 community-dwelling older adults over 65 years who took five or more prescription medications daily. Results suggest that older adults' self-perceptions of their role in medication safety varied widely. Older adults perceived that self-learning about their medications and securing them are critical to avoiding medication-related harm. Primary care providers were perceived as coordinators between older adults and specialists. Older adults expected pharmacists to inform them of any changes in the characteristics of medications to ensure medications were taken correctly. Our findings provide an in-depth analysis of older adults' perceptions and expectations of their providers' specific roles in medication safety. Educating providers and pharmacists about the role expectations of this population with complex needs can ultimately improve medication safety.

Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care

Introduction

A growing number of healthcare providers make complex treatment decisions guided by electronic health record (EHR) software interfaces. Many interfaces integrate multiple sources of data (e.g., labs, pharmacy, diagnoses) successfully, though relatively few have incorporated genetic data.

Method

This study utilizes informatics methods with predictive modeling to create and validate algorithms to enable informed pharmacogenomic decision-making at the point of care in near real-time. The proposed framework integrates EHR and genetic data relevant to the patient's current medications including decision support mechanisms based on predictive modeling. We created a prototype with EHR and linked genetic data from the Department of Veterans Affairs (VA), the largest integrated healthcare system in the US. The EHR data included diagnoses, medication fills, and outpatient clinic visits for 2,600 people with HIV and matched uninfected controls linked to prototypic genetic data (variations in single or multiple positions in the DNA sequence). We then mapped the medications that patients were prescribed to medications defined in the drug-gene interaction mapping of the Clinical Pharmacogenomics Implementation Consortium's (CPIC) level A (i.e., sufficient evidence for at least one prescribing action) guidelines that predict adverse events. CPIC is a National Institute of Health funded group of experts who develop evidence based pharmacogenomic guidelines. Preventable adverse events (PAE) can be defined as a harmful outcome from an intervention that could have been prevented. For this study, we focused on potential PAEs resulting from a medication-gene interaction.

Results

The final model showed AUC scores of 0.972 with an F1 score of 0.97 with genetic data as compared to 0.766 and 0.73 respectively, without genetic data integration.

Discussion

Over 98% of people in the cohort were on at least one medication with CPIC level a guideline in their lifetime. We compared predictive power of machine learning models to detect a PAE between five modeling methods: Random Forest, Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), K Nearest neighbors (KNN), and Decision Tree. We found that XGBoost performed best for the prototype when genetic data was added to the framework and improved prediction of PAE. We compared area under the curve (AUC) between the models in the testing dataset.

Population-based pattern of medication use and prevalence of polypharmacy among patients with cardiovascular diseases: results of the Pars cohort study from Iran

BACKGROUND

Polypharmacy in patients with cardiovascular diseases (CVDs) has been linked to several adverse outcomes. This study aimed to investigate the pattern of medication use and prevalence of polypharmacy among CVDs patients in Iran.

METHOD

We used the baseline data of the Pars cohort study (PCS). The participants were asked to bring their medication bags; then, the medications were classified using the Anatomical Therapeutic Chemical classification. Polypharmacy was defined as using five or more medications concurrently. Poisson regression modeling was applied. The adjusted prevalence ratios (PR) and its 95% confidence interval (CI) were estimated.

RESULTS

Totally, 9262 participants were enrolled in the PCS, of whom 961 had CVDs. The prevalence of polypharmacy in participants with and without CVDs was 38.9% and 7.1%, respectively. The highest prevalence of polypharmacy (51.5%) was among obese patients. Abnormal waist-hip ratio (PR: 2.79; 95% CI 1.57-4.94), high socioeconomic status (PR: 1.65; 95% CI 1.07-2.54), tobacco-smoking (PR: 1.35; 95% CI 1.00-1.81), patients with more than three co-morbidities (PR: 1.41; 95% CI 1.30-1.53), high physical activity (PR: 0.66; 95% CI 0.45-0.95), use of opiate ever (PR: 0.46; 95% CI 0.26-0.82), and healthy overweight subjects (PR: 0.22; 95% CI 0.12-0.39) were associated with polypharmacy. Cardiovascular drugs (76.1%), drugs acting on blood and blood-forming organs (50.4%), and alimentary tract and metabolism drugs (33.9%) were the most frequently used drugs. Agents acting on the renin-angiotensin system were the mostly used cardiovascular system drugs among men and those above 60 years old, while beta-blocking agents were mostly prevalent among cardiovascular system drugs in women with CVDs.

CONCLUSION

Given the high prevalence of polypharmacy among CVDs patients, and subsequent complications, programs to educate both physicians and patients to prevent this issue is crucial.

Potentially Inappropriate Medications among Elderly with Frailty in a Tertiary Care Academic Medical Centre in Saudi Arabia

This study aims to assess the prevalence of potentially inappropriate medications (PIMs) and to analyze the relationship between the PIMs and frailty among inpatient older adults aged 65 and above in Saudi Arabia. A retrospective cross-sectional study design was utilized during the period between April 2021 and April 2022 of all patients aged 65 years and above admitted in a public tertiary hospital in Saudi Arabia. Data on the number of medications and the use of PIMs were assessed using Beers’ criteria while the frailty status was assessed using the “FRAIL Scale”. Of the 358 patient files that were reviewed, 52.2% were males, 60.9% were aged 65−74 years, and 82% were married. The prevalence of robust, prefrail, and frail patients was 5%, 36.9%, and 58.1%, respectively. According to the 2019 Beers criteria, a total of 45.8% (n = 164) participants identified as using PIMs. Compared to the non-PIMs group, the PIMs group demonstrated significant differences in the number of medications (p < 0.001), the number of comorbidities (p < 0.05), and the frailty score (p < 0.001). The strongest predictor of PIM use was a number of comorbidities, recording an odds ratio of 2.86, (95% CI 1.21−6.77, p < 0.05). Our results show that the use of PIM was significantly associated with frail older adults with multiple comorbidities and in patients with polypharmacy. A clear assessment and evaluation tool may improve the quality of drug treatment in the older adult population, particularly in frail patients.

Practical recommendations to combine small-molecule inhibitors and direct oral anticoagulants in patients with nonsmall cell lung cancer

BACKGROUND

The risk for thromboembolisms in nonsmall cell lung cancer (NSCLC) patients is increased and often requires treatment or prophylaxis with direct oral anticoagulants (DOACs). Small-molecule inhibitors (SMIs) to treat NSCLC may cause relevant drug-drug interactions (DDIs) with DOACs. Guidance on how to combine these drugs is lacking, leaving patients at risk of clotting or bleeding. Here, we give practical recommendations to manage these DDIs.

METHODS

For all DOACs and SMIs approved in Europe and the USA up to December 2021, a literature review was executed and reviews by the US Food and Drug Administration and European Medicines Agency were analysed for information on DDIs. A DDI potency classification for DOACs was composed and brought together with DDI characteristics of each SMI, resulting in recommendations for each combination.

RESULTS

Half of the combinations result in relevant DDIs, requiring an intervention to prevent ineffective or toxic treatment with DOACs. These actions include dose adjustments, separation of administration or switching between anticoagulant therapies. Combinations of SMIs with edoxaban never cause relevant DDIs, compared to more than half of combinations with other DOACs and even increasing to almost all combinations with rivaroxaban.

CONCLUSIONS

Combinations of SMIs and DOACs often result in relevant DDIs that can be prevented by adjusting the DOAC dosage, separation of administration or switching between anticoagulants.

Concurrent Use of Thyroid Hormone Therapy and Interfering Medications in Older US Veterans

CONTEXT

Thyroid hormone management in older adults is complicated by comorbidities and polypharmacy.

OBJECTIVE

Determine the prevalence of concurrent use of thyroid hormone and medications that can interfere with thyroid hormone metabolism (amiodarone, prednisone, prednisolone, carbamazepine, phenytoin, phenobarbital, tamoxifen), and patient characteristics associated with this practice.

DESIGN

Retrospective cohort study between 2004 and 2017 (median follow-up, 56 months).

SETTING

Veterans Health Administration Corporate Data Warehouse.

PARTICIPANTS

A total of 538 137 adults ≥ 65 years prescribed thyroid hormone therapy during the study period.

MAIN OUTCOME MEASURE

Concurrent use of thyroid hormone and medications interfering with thyroid hormone metabolism.

RESULTS

Overall, 168 878 (31.4%) patients were on at least 1 interfering medication while on thyroid hormone during the study period. In multivariable analyses, Black/African-American race (odds ratio [OR], 1.25; 95% CI, 1.21-1.28, compared with White), Hispanic ethnicity (OR, 1.12; 95% CI, 1.09-1.15, compared with non-Hispanic), female (OR, 1.11; 95% CI, 1.08-1.15, compared with male), and presence of comorbidities (eg, Charlson/Deyo Comorbidity Score ≥ 2; OR, 2.50; 95% CI, 2.45-2.54, compared with 0) were more likely to be associated with concurrent use of thyroid hormone and interfering medications. Older age (eg, ≥ 85 years; OR, 0.48; 95% CI, 0.47-0.48, compared with age 65-74 years) was less likely to be associated with this practice.

CONCLUSIONS AND RELEVANCE

Almost one-third of older adults on thyroid hormone were on medications known to interfere with thyroid hormone metabolism. Our findings highlight the complexity of thyroid hormone management in older adults, especially in women and minorities.

Decision-support systems for managing polypharmacy in the elderly: A scoping review

Polypharmacy, the consuming of more than five drugs, is a public health problem. It can lead to many interactions and adverse drug reactions and is very expensive. Therapeutic guidelines for managing polypharmacy in the elderly have been issued, but are highly complex, limiting their use. Decision-support systems have therefore been developed to automate the execution of these guidelines, or to provide information about drugs adapted to the context of polypharmacy. These systems differ widely in terms of their technical design, knowledge sources and evaluation methods. We present here a scoping review of electronic systems for supporting the management, by healthcare providers, of polypharmacy in elderly patients. Most existing reviews have focused mainly on evaluation results, whereas the present review also describes the technical design of these systems and the methodologies for developing and evaluating them. A systematic bibliographic search identified 19 systems differing considerably in terms of their technical design (rule-based systems, documentary approach, mixed); outputs (textual report, alerts and/or visual approaches); and evaluations (impact on clinical practices, impact on patient outcomes, efficiency and/or user satisfaction). The evaluations performed are minimal (among all the systems identified, only one system has been evaluated according to all the criteria mentioned above) and no machine learning systems and/or conflict management systems were retrieved. This review highlights the need to develop new methodologies, combining various approaches for decision support system in polypharmacy.

Aging and the Prevalence of Polypharmacy and Hyper-Polypharmacy Among Older Adults in South Korea: A National Retrospective Study During 2010–2019

Background: Polypharmacy has become a global health problem and is associated with adverse health outcomes in the elderly. This study evaluated the prevalence of polypharmacy and hyper-polypharmacy in elderly patients in South Korea during 2010–2019.

Methods: We analyzed the outpatient care of persons aged ≥65 years covered by National Health Insurance (NHI) using NHI claims data from 2010 to 2019. Polypharmacy was defined as the use of ≥5 medications, and hyper-polypharmacy was defined as the use of ≥10 medications, and we examined them over periods of ≥90 days and ≥180 days. The average annual percent change (AAPC) was calculated using Joinpoint statistical software.

Results: The prevalence of polypharmacy among ≥90 days of medication use elderly decreased from 42.5% in 2010 to 41.8% in 2019, and the prevalence of hyper-polypharmacy for ≥90 days increased from 10.4% to 14.4%. The prevalence of polypharmacy for ≥180 days increased from 37.8% in 2010 to 38.1% in 2019, and the prevalence of hyper-polypharmacy for ≥180 days increased from 6.4% to 9.4%. The prevalence of polypharmacy for ≥90 days and ≥180 days steadily increased among elderly patients, with AAPCs of 3.7 and 4.5, respectively.

Conclusion: The prevalence of polypharmacy for ≥90 days and ≥180 days remained stably high, with rates of about 42 and 38%, respectively, and hyper-polypharmacy increased over the past 10 years in South Korea. Therefore, strategies to address polypharmacy need to be implemented. Further research is also required to identify the clinical outcomes (including mortality risks) associated with polypharmacy.

Understanding medication use behaviors and perspectives in an older cardiovascular patient population: Opportunities for patient-centered deprescribing

Study objective

Describe self-reported medication use behaviors and perspectives to identify opportunities for collaborative deprescribing among older cardiovascular patients.

Design

Patient survey using convenience sampling.

Setting

Private cardiology practice in Maricopa County, Arizona, USA.

Participants

Established patients aged ≥65 years with an active medication list indicating prescription polypharmacy (≥5 medications) and/or use of ≥1 high risk medication (anticoagulant, antiarrhythmic, anti-hypotensive, insulin).

Intervention

Anonymous online survey.

Main outcome measures

Current medication use (prescription and over-the-counter), self-reported medication use behaviors measured by the Adherence to Refills and Medications Scale (ARMS-12), and perspectives on deprescribing.

Results

Overall, 138 participants were recruited, with a mean age of 76.7 years. All but two self-identified as Caucasian. Prescription polypharmacy was reported by 80 (58.0 %), with use of 5-9 medications by 66 (47.8 %) and use of ≥10 medications (excessive polypharmacy) by 14 (10.1 %). Approximately one-third (n = 45, 32.6 %) had ARMS = 12, indicating adherence to taking and refilling medications. More than 1 in 10 patients (11.6 %) used >1 high-risk medication. About 4 in 10 (40.6 %) used ≥5 OTC medications. Most highly prioritized reasons for continuing medications were to prolong life (40 %), feel better (17 %), and reduce stroke risk (15 %). Despite 66.7 % of patients indicating taking "just the right amount of medications," willingness to stop ≥1 medication was very high at 80.4 %.

Conclusion

Among older cardiovascular patients, prescription polypharmacy is prevalent as are medication use behaviors associated with some degree of nonadherence. Patients are supportive of deprescribing. Prioritizing what matters most to patients and focusing efforts to deprescribe potentially inappropriate medications is recommended.

Disposable stochastic sensors for fast analysis of ibuprofen, ketoprofen, and flurbiprofen in their topical pharmaceutical formulations

Three disposable stochastic sensors based on maltodextrin (dextrose equivalent = 4-7) and nanostructures (copper monolayer, carbon monolayer and carbon-copper composite layer) deposited using cold plasma on copy paper were proposed for the fast analysis of ibuprofen, ketoprofen and flurbiprofen in pharmaceutical formulation samples. The widest linear concentration ranges recorded were: for ibuprofen 1 fmol/L - 1 mmol/L when the disposable stochastic sensor based on carbon monolayer was used, for ketoprofen 1 fmol/L - 1 mmol/L when the disposable stochastic sensors based on copper monolayer and carbon-copper composite layer were used, and for flurbiprofen 1 fmol/L - 10 mmol/L when the disposable stochastic sensor based on carbon-copper composite layer was used. The lowest limit of detection recorded for each non-steroidal anti-inflammatory drug was 1 fmol/L.

Management of corticosteroid-dependent eosinophilic interstitial nephritis: A case report

INTRODUCTION

Drug-induced acute interstitial nephritis (DI-AIN) is an important cause of acute kidney injury. In renal biopsy specimens, tubulitis with eosinophilic infiltration is suggestive of DI-AIN. Although corticosteroid therapy and discontinuation of the offending drug can improve renal dysfunction in most cases of DI-AIN, some patients experience AIN recurrence, leading to corticosteroid dependency. Corticosteroid-dependent eosinophilic interstitial nephritis presents a difficult dilemma in diagnosis and information regarding optimum management is limited.

PATIENT CONCERNS

A 25-year-old man, who received treatment with carbamazepine, zonisamide, valproate, and lacosamide for temporal lobe epilepsy, showed an increase in serum creatinine level from 0.98 to 1.29 mg/dL over a period of 6 months. Although he exhibited no symptoms, his serum creatinine level continued to increase to 1.74 mg/dL.

DIAGNOSIS

Renal biopsy revealed tubulitis and interstitial inflammatory infiltrates with eosinophils. Immunological and ophthalmological examinations showed no abnormal findings, and thus, his renal dysfunction was presumed to be caused by DI-AIN. Although oral prednisolone (PSL) administration (40 mg/d) and discontinuation of zonisamide immediately improved his renal function, AIN recurred 10 months later. The increase in PSL dose along with discontinuation of valproate and lacosamide improved renal function. However, 10 months later, recurrent AIN with eosinophilic infiltration was confirmed by further biopsy. The patient was therefore diagnosed with corticosteroid-dependent eosinophilic interstitial nephritis.

INTERVENTIONS

To prevent life-threatening epilepsy, carbamazepine could not be discontinued; hence, he was treated with an increased dose of PSL (60 mg/d) and 1500 mg/d of mycophenolate mofetil (MMF).

OUTCOMES

MMF was well tolerated and PSL was successfully tapered to 5 mg/d; renal function stabilized over a 20-month period.

LESSONS

The presence of underdetermined autoimmune processes and difficulties in discontinuing the putative offending drug discontinuation are contributing factors to corticosteroid dependency in patients with eosinophilic interstitial nephritis. MMF may be beneficial in the management of corticosteroid-dependent eosinophilic interstitial nephritis by reducing the adverse effects related to high-dose and long-term corticosteroid use.

Drug-Drug Interaction Potential, Cytotoxicity, and Reactive Oxygen Species Production of Salix Cortex Extracts Using Human Hepatocyte-Like HepaRG Cells

Herbal preparations of willow bark (Salix cortex) are available in many countries as non-prescription medicines for pain and inflammation, and also as dietary supplements. Currently only little information on toxicity and drug interaction potential of the extracts is available. This study now evaluated the effects of two Salix cortex extracts on human hepatocyte-like HepaRG cells, in view of clinically relevant CYP450 enzyme activity modulation, cytotoxicity and production of reactive oxygen species (ROS). Drug metabolism via the CYP450 enzyme system is considered an important parameter for the occurrence of drug-drug interactions, which can lead to toxicity, decreased pharmacological activity, and adverse drug reactions. We evaluated two different bark extracts standardized to 10 mg/ml phenolic content. Herein, extract S6 (S. pentandra, containing 8.15 mg/ml total salicylates and 0.08 mg/ml salicin) and extract B (industrial reference, containing 5.35 mg/ml total salicylates and 2.26 mg/ml salicin) were tested. Both Salix cortex extracts showed no relevant reduction in cell viability or increase in ROS production in hepatocyte-like HepaRG cells. However, they reduced CYP1A2 and CYP3A4 enzyme activity after 48 h at ≥25 μg/ml, this was statistically significant only for S6. CYP2C19 activity inhibition (0.5 h) was also observed at ≥25 μg/ml, mRNA expression inhibition by 48 h treatment with S6 at 25 μg/ml. In conclusion, at higher concentrations, the tested Salix cortex extracts showed a drug interaction potential, but with different potency. Given the high prevalence of polypharmacy, particularly in the elderly with chronic pain, further systematic studies of Salix species of medical interest should be conducted in the future to more accurately determine the risk of potential drug interactions.

Analysis of the regional difference in the number of multi-drug prescriptions and its predictors in Japan, 2015-2018

Objective

Polypharmacy and multi-drug prescription are major public health problems in Japan, but only a few studies have investigated the regional differences. By revealing regional differences in the multi-drug prescriptions, we can infer regions with high rates of multimorbidity or inappropriate prescribing. This study revealed regional differences in multi-drug prescriptions (the number of simultaneous prescriptions of seven or more internal medicines) and investigated the factors affecting the difference using the National Database of Health Insurance Claims and Specific Health Checkups of Japan data.

Results

The standardized claim ratio (SCR) of the number of multi-drug prescriptions, which corrected the difference in sex and age distribution of prefectures, varied depending on prefectures. A panel data analysis investigating the association between the SCR and explanatory variables (Medical institutions, socioeconomic factors, and physical characteristics of people in prefectures) revealed that the number of public assistance recipients per 1,000 persons was positively and significantly associated with the SCR (Standardized partial regression coefficient = 0.244, p-value = 0.038). In conclusion, regional differences in the number of the multi-drug prescriptions were revealed in Japan, suggesting that public assistance recipients tend to experience multi-drug prescriptions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13104-021-05787-2.