Actual Medication Use Research Articles

Medication Use and Treatment Indications in Huntington's Disease; Analyses from a Large Cohort.

Huntington's Disease is a rare neurodegenerative disorder in which appropriate medication management is essential. While many medications are prescribed based on expert knowledge, overviews of actual medication use in HD are sparse. We provide a detailed overview of medication use and associated indications across HD disease stages, considering sex and regional differences. Data from the largest observational HD study, ENROLL-HD, were used. We created HD-related medication and indication classes to identify medication trends in manifest, premanifest and control subjects. We studied medication use in adult, childhood- and adolescent-onset HD, incorporating disease stage (including phenoconverters), sex and regional differences. In 8546 manifest HD patients, 84.6% used medication (any type), with the average number of medications per user rising from 2.5 in premanifest HD to 5.2 in end stage disease. Antipsychotics (29.2%), SSRIs (27.5%) and painkillers (21.8%) were most often used. Medication use varied with disease progression. Several differences were observed between the sexes, and notably between Europe and Northern America as well. Medication use increased after phenoconversion (from 64.8% to 70.6%, P < 0.05), with the largest difference in antipsychotic use (4.4%-7.8%, P < 0.05). Medication patterns were different in childhood-onset HD, with no use of painkillers, less use of anti-chorea and antidepressant drugs, and more for aggression and irritability. Medication use in HD increases with disease progression, with varying types of medications prescribed based on disease stage, sex, and region of living. Recognizing these medication trends is vital for further personalized HD management.

The association of pain screening and pain level with suicide among US veterans with comorbid musculoskeletal and bipolar disorder diagnoses

BackgroundHigh suicide rates are documented among persons with bipolar disorder diagnoses and pain diagnoses, but few studies have examined the association of pain with suicide mortality in individuals with comorbid pain and bipolar disorders. This study assessed the association of pain screening and pain severity with suicide mortality among veterans with comorbid bipolar and musculoskeletal disorder (MSD) diagnoses. MethodsA retrospective cohort study was conducted on 168,021 patients within the Veterans Health Administration (VHA) who received an MSD diagnosis from 2000 to 2015 and had a bipolar disorder diagnosis. Pain severity, comorbidities, demographics, and suicide mortality were extracted from VHA databases. Poisson regression examined relative risk of suicide by the presence pain screening and pain severity ratings. ResultsPain was assessed in 72.73 % of veterans. Suicide risk was greater in those not assessed (0.98 % versus 0.77 % in assessed group). However, this result did not persist after adjusting for covariates (RR = 1.06). Among those assessed, higher suicide risk was associated with moderate (RR = 1.10), severe pain (RR = 1.06), and no pain (reference) relative to mild pain (RR = 0.99). Major depression, substance use disorders, and prescribed opioids and benzodiazepines increased risk. LimitationsData were obtained from medical records; diagnoses were not confirmed via formal assessment, and no information was available on actual medication use or purpose. Over 25 % of the sample were missing pain severity ratings, which could have affected results. ConclusionsSuicide risk factors among persons with bipolar disorder are complex and multifactorial. Providers should prioritize suicide prevention efforts following new onset or worsening pain.

Association between awareness and knowledge of medication-overuse headache with medication-taking behavior among adults with migraine

Frequent use of pain relief medications among patients with migraine can result in disease worsening and medication-overuse headache (MOH), a painful and debilitating condition. We sought to conduct a cross-sectional survey among adult patients diagnosed with migraine to determine: 1) their awareness of MOH, and 2) their knowledge of the condition and its prevention, and 3) the association of these factors with actual use of pain relief medications. We recruited and interviewed 200 English-speaking adults with migraine who had a clinic visit with a neurologist or primary care provider within the past month. Patients were identified via an electronic health record query. Almost 40% of participants had never heard of the term ‘medication-overuse headache.’ In bivariate analyses, participants who were Black or Hispanic and those with limited health literacy were less likely to have heard of MOH. Participants scored an average of 2.1 (range: 0–3) on a MOH knowledge measure; older participants, those with limited health literacy, lower education, and little or no migraine-related disability demonstrated less knowledge. Almost a third (31.5%) of patients reported overusing pain relief medication and were at risk for MOH. Overuse was not significantly associated with MOH awareness, knowledge, or sociodemographic factors, but was related to greater migraine-related disability. Our findings suggest that patient awareness and knowledge of MOH is suboptimal, particularly among older adults, racial and ethnic minority groups, and those with limited health literacy. Interventions are needed to prevent MOH and better inform patients about risks associated with frequent use of pain relief medications.

Evaluation of methods measuring medication adherence in patients with polypharmacy: a longitudinal and patient perspective.

To explore patients' willingness to have medication adherence measured using different methods and evaluate the feasibility and validity of their combination (i.e., pill counts, a medication diary and a questionnaire assessing adherence two months post-discharge). (1) A cross-sectional evaluation of the willingness of patients with polypharmacy to have their medication adherence measured post-discharge. (2) Medication adherence was monitored during two months using pill counts based on preserved medication packages and a diary in which patients registered their adherence-related problems. During a home visit, the Probabilistic Medication Adherence Scale (ProMAS) and a questionnaire on feasibility were administered. A total of 144 participants completed the questionnaire at discharge. The majority was willing to communicate truthfully about their adherence (97%) and to share adherence-related information with healthcare providers (99%). More participants were willing to preserve medication packages (76%) than to complete a medication diary (67%) during two months. Most participants reported that preserving medication packages (91%), completing the diary (99%) and the ProMAS (99%) were no effort to them. According to the majority of participants (60%), pill counts most accurately reflected medication adherence, followed by the diary (39%) and ProMAS (1%). Medication adherence measured by pill counts correlated significantly with ProMAS scores, but not with the number of diary-reported problems. However, adherence measured by the medication diary and ProMAS correlated significantly. Combining tools for measuring adherence seems feasible and can provide insight into the accordance of patients' actual medication use with their prescribed regimen, but also into problems contributing to non-adherence.

Characterizing PRN Use of Psychotropic Medications for Acute Agitation in Canadian LTC Residents With Dementia Before and During COVID‐19

AbstractBackgroundAgitation is a prevalent and disabling neuropsychiatric symptom of dementia that comprises a constellation of behaviours involving excessive motor activity, physical aggression, and verbal aggression. Pro re nata (PRN) injections of antipsychotics and benzodiazepines can be administered for severe acute agitation, but best practices surrounding their use remain poorly characterized. The aim of this study was to compare the frequency of use of injectable PRN haloperidol, olanzapine, and lorazepam for acute agitation in Canadian long‐term care (LTC) residents with dementia before and during the COVID‐19 pandemic.MethodsA retrospective chart review was conducted for patients from two Canadian LTC facilities who had orders for PRN haloperidol, olanzapine, or lorazepam between January 1, 2018–May 1, 2019 (i.e. pre‐COVID‐19) and January 1, 2020–May 1, 2021 (i.e. COVID‐19). We reviewed electronic medical records to document PRN administrations of these psychotropic medications and collect data on age, sex, dementia diagnosis, days of observation, care type, medical history, and concomitant medications. Descriptive statistics and multivariate logistic and Poisson regression models were used to analyze the data.ResultsOf the 250 residents with dementia included, 45 of 103 (44%) people in the pre‐COVID‐19 period and 85 of 147 (58%) people in the COVID‐19 period with standing orders for injectable PRN haloperidol, olanzapine, or lorazepam received ≥1 injections of their prescribed medication. Haloperidol was the most frequently used agent (74% pre‐COVID‐19 and 81% during COVID‐19) and excessive motor activity (85% and 80%) was the most common indication for use in both time periods. Residents in the COVID‐19 period were two times more likely to receive PRN injections compared with those in the pre‐COVID‐19 period (OR = 1.96; 95% CI = 1.15‐3.34; p = 0.01). Count of injections per patient was not significantly different between the two time periods (IRR = 1.35; 95% CI = 0.78‐2.33; p = 0.3).ConclusionOur results contribute to the mounting evidence that agitation worsened in LTC residents with dementia during the pandemic and add to the limited existing literature on actual use of PRN psychotropic medications for acute agitation. The increased need for PRN rescue medications may be an indirect consequence of COVID‐19 restrictions, particularly the restrictions on socialization.

Overnight 1-mg Dexamethasone Suppression Test for Screening Cushing Syndrome and Mild Autonomous Cortisol Secretion (MACS): What Happens when Serum Dexamethasone Is Below Cutoff? How Frequent Is it?

ObjectiveTo determine the frequency of “invalid” 1-mg overnight dexamethasone (Dex) suppression tests (DSTs) (1-mg DST) on a large series of patients investigated for hypercortisolism and examine the interference of substances and clinical conditions that may explain low serum Dex levels. MethodsA retrospective analysis of 1300 Dex-controlled 1-mg DST applied to patients screened for Cushing syndrome or mild autonomous cortisol secretion in a single center for which there were identified invalid tests and distinctive characteristics that may have interfered with the outcome. ResultsAmong all tests, 146 (11.2%) were considered invalid (serum Dex levels <140 ng/dL, 36 [24.7%] of which were undetectable [<19.5 ng/dL]). In the Dex-undetectable group, 17% failed to take Dex correctly, 25% were on glucocorticoids (GCs), and 20% were on anticonvulsants and moderate CYP3A4 inducers. In the remaining 110 tests (serum Dex 20-140 ng/dL), 6.5% did not take Dex or were using GC, 22% were on anticonvulsants or CYP3A4 inducers, and another 13% had previous gastrointestinal tract abnormalities impairing drug absorption. ConclusionInappropriately low serum Dex levels during the 1-mg DST may lead to false-positive results. This is associated with recurrent use of CYP3A4-inducing drugs and/or gastrointestinal abnormalities. When serum Dex is undetectable, the key reason is failure to take the medication or the use of GC (when cortisol is suppressed). Simultaneous measurement of serum cortisol and Dex allows for DST validation, improving its accuracy and avoiding unnecessary repetitions. Adherence to verbal/written recommendations and actual use of medication are critical for interpreting the test.

Psychopharmacological Medication Use in Frontotemporal Dementia at the Time of Diagnosis: Comparison with Alzheimer's Disease.

Due to the significant presence of neuropsychiatric symptoms in patients with frontotemporal dementia (FTD) spectrum disorders, psychiatric misdiagnoses, diagnostic delay, and use of psychiatric treatments are common prior to the FTD diagnosis. Furthermore, treatment of diagnosed FTD patients mainly relies on off-label psychopharmacological approaches. Currently, limited real-world data are available regarding the actual use of psychopharmacological medications in FTD. To evaluate psychopharmacological medication use at the time of FTD diagnosis. Psychopharmacological medication use was evaluated in a Finnish FTD cohort containing 222 FTD patients, including the major clinical disease phenotypes (behavioral, language, and motor variants) and genetic patients carrying the C9orf72 repeat expansion. A cohort of 214 Alzheimer's disease (AD) patients was used as a neurodegenerative disease reference group. Active use of psychopharmacological medications at the time of diagnosis was significantly more common in FTD compared to AD, especially in the case of antidepressants (26.1% versus 15.0%, OR = 2.01, p = 0.008), antipsychotics (23.9% versus 9.3%, OR = 3.15, p < 0.001), and mood-stabilizers (6.3% versus 1.9%, OR = 2.93, p = 0.085; not statistically significant), whereas the use of cholinesterase inhibitors or memantine was nearly nonexistent in FTD patients. Female gender and behavioral variant of FTD phenotype alongside with depressive and psychotic symptoms were the most prominent factors associating with the use of these medications among the FTD spectrum patients. Use of off-label psychopharmacological medication and polypharmacy is substantially common at the time of FTD diagnosis. This likely reflects the challenges in using symptom-driven treatment approaches, especially prior to the eventual diagnosis.

Abstract 5439: Deep understanding of medication events from clinical narratives is essential to building a holistic picture of cancer patient medication history

Abstract MOTIVATION: One of the most complex aspects of providing care to cancer patients is building an accurate list of medications a patient is taking. Medication lists need to capture the necessary clinical context about how the patient uses the drug, such as if they can no longer afford a medication or decide to change the frequency at which they take it due to side effects. While hidden from the medication list, these changes are significant to medical decision making. Moreover, many studies focus on providing cancer medication safely. Still, providers are often not aware of other medications, which clinicians may administer in a different practice than the one providing cancer care. While many solutions attempt to improve the medication list, they frequently ignore one of the highest quality sources of medication information: clinical narratives. In this work, we propose utilizing Natural Language Processing (NLP) to extract medications and medication change events from clinical narratives. METHODS &amp; DISCUSSION: In this work, we utilize NLP to extract medications and medication change events from clinical narratives. We use the medication event extraction schema from the N2C2 2022 Challenge to train and evaluate various models for two classification tasks. The first is Event Classification (EC), to identify if a medication was changed. The second is Event Context Classification (ECC) to understand the nature of any change. Using this schema, we can parse a sentence from a clinical note such as “She was experiencing a bad episode of dry cough, so stopped taking lisinopril.” Parsing such a note helps us understand an actor (the patient) initiated an action (stopping the medication) with a temporality (in the past) and with a certainty (not hypothetical). Our approach for both tasks involved using a pre-trained clinical language model while varying the context window around a medication, masking extraneous drugs, and using mark-up tokens around events. The most performant experiments utilized more extended context around a drug, with irrelevant drug masking. We also note that longer-range encoders had better F1 performance than the original BERT architectures. We achieved a 92% performance (micro F1) for EC when detecting a medication change. For ECC, we achieved scores of 74%, 90%, 73%, and 88% (micro F1) over the categories of Action, Certainty, Temporality, and Actor. CONCLUSION: Given the performance observed, this approach could allow clinicians to incorporate additional extracted medication context to improve patient care and provide high-quality treatment plans. Furthermore, we can aggregate this information across patients to give more insights to clinicians and researchers about the actual use of medications. Citation Format: Jacob Hoffman, Neehar Mukne, Daniela Weiss, Christine Swisher, Max Kaufmann. Deep understanding of medication events from clinical narratives is essential to building a holistic picture of cancer patient medication history. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5439.

Use, Abuse, and Misuse of Nasal Medications: Real-Life Survey on Community Pharmacist's Perceptions.

Medication overuse is an increasing global problem, especially for those rhinology diseases whose management requires over-the-counter drugs. This observational community pharmacy-based study aimed to investigate the actual use of the best-selling topical nasal medications and to characterize the clinical issues underlying their query through the pharmacist's perception. In the pilot phase, a preliminary survey was developed by a team of researchers and tested on a small sample of practitioners to assess usability and intelligibility. Eventual amendments were made according to the feedback obtained, and the final version was submitted to practitioners working in 376 pharmacies evenly distributed over the Italian territory. Two groups of customers (18-30 years old and 60-75 years old) were the ones who most frequently purchased topical decongestants. The dosage applied for sympathomimetic amines was higher than recommended in up to 44.4% and the duration of use longer than 5 days in up to 31.9% of the cases. Patients' queries of alpha agonists and topical corticosteroids resulted in significantly higher numbers than practitioners' prescriptions. Allergic rhinitis was the most common disease affecting patients seeking sympathomimetic amines. The prolonged use of sympathomimetic amines in patients suffering from rhinology diseases is a significant problem that requires greater attention in terms of social education and surveillance.

Adherence to prescription medication during pregnancy: Do pregnant women use pharmacological treatment as prescribed?

Pregnant women are hypothesized to have low adherence to prescribed medication, because of concerns about harmful effects on the unborn child. However, very little is known about the actual adherence to prescribed medication during pregnancy. We determined to what extent women follow treatment recommendations regarding prescribed medication use in mid-pregnancy. Dutch women participating in the PRIDE Study completed a 6-week diary on medication use. Additionally, pharmacy records were obtained. For each medication dispensed, we determined 3 measures of adherence: (i) whether use was reported in the diary (actual use); (ii) difference between dispensing date and date of first reported use (initiation time); and (iii) proportion of days with at least the correct number of doses taken (implementation adherence). During the 6-week study period, 235 of 816 women (29%) were dispensed medication. Actual use was highest for medications used for chronic conditions (88%; 95% confidence interval [95% CI] 81-93), followed by medication for pregnancy-related conditions (79%; 95% CI 71-86) and medication for occasional and short-time use (69%; 95% CI 60-77). We observed a ≥1-day delay in treatment initiation for 42% of medications dispensed for the first time in the study period. Mean implementation adherence was 74.2% (95% CI 69.3-79.2) for medications that were actually used. Although actual use of medications dispensed was high, many pregnant women did not adhere to treatment recommendations. This nonadherence may impact maternal and child health and lead to overestimation of medication use in studies in perinatal pharmacoepidemiology relying on administrative databases.

Differences in medication reconciliation interventions between six hospitals: a mixed method study

BackgroundAlthough medication reconciliation (MedRec) is mandated and effective in decreasing preventable medication errors during transition of care, hospitals implement MedRec differently.ObjectiveQuantitatively compare the number and type of MedRec interventions between hospitals upon admission and discharge, followed by a qualitative analysis on potential reasons for differences.MethodsThis explanatory retrospective mixed-method study consisted of a quantitative and a qualitative part. Patients from six hospitals and six different wards i.e. orthopaedics, surgery, pulmonary diseases, internal medicine, cardiology and gastroenterology were included. At these wards, MedRec was implemented both on hospital admission and discharge. The number of pharmacy interventions was collected and classified in two subcategories. First, the number of interventions to resolve unintended discrepancies (elimination of differences between listed medication and the patient’s actual medication use). And second, the number of medication optimizations (optimization of pharmacotherapy e.g. eliminating double medication). Based on these quantitative results and interviews, a focus group was performed to give insight in local MedRec processes to address differences in context between hospitals. Descriptive analysis (quantitative) and content analysis (qualitative) was used.ResultsOn admission 765 (85%) patients from six hospitals, received MedRec by trained nurses, pharmacy technicians, pharmaceutical consultants or pharmacists. Of those, 36–95% (mean per patient 2.2 (SD ± 2.4)) had at least one discrepancy. Upon discharge, these numbers were among 632 (70%) of patients, 5–28% (mean per patient 0.7 (SD 1.2)). Optimizations in pharmacotherapy were implemented for 2% (0.4–3.7 interventions per patient upon admission) to 95% (0.1–1.7 interventions per patient upon discharge) of patients. The main themes explaining differences in numbers of interventions were patient-mix, the type of healthcare professionals involved, where and when patient interviews for MedRec were performed and finally, embedding and extent of medication optimization.ConclusionsHospitals differed greatly in the number of interventions performed during MedRec. Differences in execution of MedRec and local context determines the number of interventions. This study can support hospitals who want to optimize MedRec processes.

Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial.

BackgroundDespite routine review of medication lists during patient encounters, patients’ medication lists are often incomplete and not reflective of actual medication use. Contributing to this situation is the challenge of reconciling medication information from existing health records, along with external locations (eg, pharmacies, other provider/hospital records, and care facilities) and patient-reported use. Advances in the interoperability and digital collection of information provides a foundation for integration of these once disparate information sources.ObjectiveWe aim to evaluate the effectiveness of and satisfaction with an electronic health record (EHR)-integrated web-based medication reconciliation application, MedTrue (MT).MethodsWe conducted a cluster-randomized controlled trial of MT in 6 primary care clinics within an integrated health care delivery system. Our primary outcome was medication list accuracy, as determined by a pharmacist-collected best-possible medication history (BPMH). Patient and staff perspectives were evaluated through surveys and semistructured interviews.ResultsOverall, 224 patients were recruited and underwent a BPMH with the pharmacist (n=118 [52.7%] usual care [UC], n=106 [47.3%] MT). For our primary outcome of medication list accuracy, 8 (7.5%) patients in the MT arm and 9 (7.6%) in the UC arm had 0 discrepancies (odds ratio=1.01, 95% CI 0.38-2.72, P=.98). The most common discrepancy identified was patients reporting no longer taking a medication (UC mean 2.48 vs MT mean 2.58, P=.21). Patients found MT easy to use and on average would highly recommend MT (average net promoter score=8/10). Staff found MT beneficial but difficult to implement.ConclusionsThe use of a web-based application integrated into the EHR which combines EHR, patient-reported data, and pharmacy-dispensed data did not improve medication list accuracy among a population of primary care patients compared to UC but was well received by patients. Future studies should address the limitations of the current application and assess whether improved implementation strategies would impact the effectiveness of the application.

Medicines Reconciliation in the Emergency Department: Important Prescribing Discrepancies between the Shared Medication Record and Patients' Actual Use of Medication.

Medication reconciliation is crucial to prevent medication errors. In Denmark, primary and secondary care physicians can prescribe medication in the same electronic prescribing system known as the Shared Medication Record (SMR). However, the SMR is not always updated by physicians, which can lead to discrepancies between the SMR and patients’ actual use of medication. These discrepancies may compromise patient safety upon admission to the emergency department (ED). Here, we investigated (a) the occurrence of discrepancies, (b) factors associated with discrepancies, and (c) the percentage of patients accessible to a clinical pharmacist during pharmacy working hours. The study included all patients age ≥ 18 years who were admitted to the Hvidovre Hospital ED on three consecutive days in June 2020. The clinical pharmacists performed medicines reconciliation to identify prescribing discrepancies. In total, 100 patients (52% male; median age 66.5 years) were included. The patients had a median of 10 [IQR 7–13] medications listed in the SMR and a median of two [IQR 1–3.25] discrepancies. Factors associated with increased rate of prescribing discrepancies were age < 65 years, time since last update of the SMR ≥ 115 days, and patients’ self-dispensing their medications. Eighty-four percent of patients were available for medicines reconciliations during the normal working hours of the clinical pharmacist. In conclusion, we found that discrepancies between the SMR and patients’ actual medication use upon admission to the ED are frequent, and we identified several risk factors associated with the increased rate of discrepancies.

Factors Influencing Self-Reported Medication Use in the Survey of Health Aging and Retirement in Europe (SHARE) Dataset.

The validity of self-reported medication use in epidemiological studies is an important issue in healthcare research. Here we investigated factors influencing self-reported medication use for multiple diagnoses in the seventh wave of the Survey of Health Aging and Retirement in Europe (SHARE) dataset in n = 77,261 participants (ages: mean = 68.47, standard deviation = 10.03 years). The influence of mental, physical, and sociodemographic parameters on medication self-report was analyzed with logistic regressions and mediation models. Depression, memory function, and polypharmacy influenced the self-report of medication use in distinct disorders to varying degrees. In addition, sociodemographic factors, knowledge about diagnosis, the presence of several chronic illnesses, and restrictions of daily instrumental activities explained the largest proportion of variance. In the mediation model, polypharmacy had an indirect effect via depression and memory on self-reported medication use. Factors influencing medication self-report vary between different diagnoses, highlighting the complexity of medication knowledge. Therefore, it is essential to assess the individual parameters and their effect on medication behavior. Relying solely on medication self-reports is insufficient, as there is no way to gage their reliability. Thus, self-reported medication intake should be used with caution to indicate the actual medication knowledge and use.

Biosensing Technology to Track Adherence: A Literature Review.

Tracking adherence can be a useful means of identifying opportunities to provide educational intervention to nonadherent patients. The aim of this study was to evaluate the ability of biosensing technology to track medication adherence. Searches of PubMed and Ovid IPA were conducted. The criteria for inclusion were studies that tracked and reported ingestion events. Studies that did not track ingestion events were excluded from this review. Titles and abstracts were assessed for relevance, and full-text reviews were performed on all potentially relevant studies. References from the studies retrieved from the literature searches were assessed for additional applicable articles. Overall, ingestion events were detected 91.3% of the time, with many of the failed detections being related to patients not using or inappropriately using the system. In the studies that looked at the latency time, the overall mean time to detection by the wearable sensor was between 1.1 and 5.1 min. With medication nonadherence being a persistent problem in healthcare, biosensing technology presents an innovative approach to tracking adherence. The technology has been shown to be accurate in its ability to track actual medication use in patients. It has also been shown to detect ingestions with a minimal delay after administration. Accessibility may be an issue with this technology in the future, and further studies may be necessary to access the viability of biosensing technology.

Causes of discrepancies between medications listed in the national electronic prescribing system and patients' actual use of medications.

Discrepancies between registered prescriptions and patients' actual use of medications are described as frequent and often resulting in adverse medication events. We aimed to assess the extent of and causes behind discrepancies between medications listed in the Danish national prescription system (Shared Medication Record) and patients' actual use of medications. We prospectively reconciled medication for 260 consecutively admitted polypharmacy patients (>50 years and ≥5 prescriptions) at two hospitals in the Capital Region of Denmark. The type of discrepancies were determined and the cause of the discrepancies were evaluated as primarily caused by (1) the patient (i.e., intentional or unintentional non-adherence) or (2) the health care system (i.e., lack of appropriate update of the SMR by physicians in primary or secondary care). There was a median of 12 [IQR 9-15] medications listed and 3 [IQR 1-5] medication discrepancies per patient (total n = 925). The majority (53%) of discrepancies were caused by the health care system, 32% were caused by the patients, of which 70% were intentional non-adherence, and 15% had an indeterminable cause. In conclusion, discrepancies between medications listed in the Shared Medication Record and actual use of medications were frequent and were most often caused by clinicians not updating the prescription information.

Patterns of Long-Term Prescription Opioid Use Among Older Adults in the United States: A Study of Medicare Administrative Claims Data

BACKGROUND: Long-term opioid therapy was prescribed with increasing frequency over the past decade. However, factors surrounding long-term use of opioids in older adults remains poorly understood, probably because older people are not at the center stage of the national opioid crisis. OBJECTIVES: To estimate the annual utilization and trends in long-term opioid use among older adults in the United States. STUDY DESIGN: Retrospective cohort study. SETTING: Data from Medicare-enrolled older adults. METHODS: This study utilized a nationally representative sample of Medicare administrative claims data from the years 2012 to 2016 containing records of health care services for more than 2.3 million Medicare beneficiaries each year. Medicare beneficiaries who were 65 years of age or older and who were enrolled in Medicare Parts A, B, and D, but not Part C, for at least 10 months in a year were included in the study. We measured annual utilization and trends in new long-term opioid use episodes over 4 years (2013–2016). We examined claims records for the demographic characteristics of the eligible individuals and for the presence of chronic non-cancer pain (CNCP), cancer, and other comorbidities. RESULTS: From 2013 to 2016, administrative claims of approximately 2.3 million elderly Medicare beneficiaries were analyzed in each year with a majority of them being women (~56%) and white (~82%) with a mean age of approximately 75 years. The proportion of all eligible beneficiaries with at least one new opioid prescription increased from 6.64% in 2013, peaked at 10.32% in 2015, and then decreased to 8.14% in 2016. The proportion of individuals with long-term opioid use among those with a new opioid prescription was 12.40% in 2013 and 10.20% in 2016. Among new long-term opioid users, the proportion of beneficiaries with a cancer diagnosis during the study years increased from 13.30% in 2013 to 15.67% in 2016, and the proportion with CNCP decreased from 30.25% in 2013 to 27.36% in 2016. Across all years, long-term opioid use was consistently high in the Southern states followed by the Midwest region. LIMITATIONS: This study used Medicare fee-for-service administrative claims data to capture prescription fill patterns, which do not allow for the capture of individuals enrolled in Medicare Advantage plans, cash prescriptions, or for the evaluation of appropriateness of prescribing, or the actual use of medication. This study only examined long-term use episodes among patients who were defined as opioid-naive. Finally, estimates captured for 2016 could only utilize data from 9 months of the year to capture 90-day long-term-use episodes. CONCLUSIONS: Using a national sample of elderly Medicare beneficiaries, we observed that from 2013 to 2016 the use of new prescription opioids increased from 2013 to 2014 and peaked in 2015. The use of new long-term prescription opioids peaked in 2014 and started to decrease from 2015 and 2016. Future research needs to evaluate the impact of the changes in new and long-term prescription opioid use on population health outcomes. KEY WORDS: Long-term, opioids, older adults, trends, Medicare, chronic non-cancer pain, cancer, cohort study

Pain Control and Medication Use in Children Following Closed Reduction and Percutaneous Pinning of Supracondylar Humerus Fractures: Are We Still Overprescribing Opioids?

The purpose of this 2-part study is to determine opioid prescribing patterns and characterize actual opioid use and postoperative pain control in children following discharge after closed reduction and percutaneous pinning of a supracondylar humerus fracture. A retrospective study was conducted from 2014 to 2016 to determine pain medication prescribing patterns at a single level 1 trauma center. Next, a prospective, observational study was conducted from 2017 to 2018 to determine actual pain medication use and pain scores in the acute postoperative period. Data were collected through telephone surveys performed on postoperative day 1, 3, and 5. Pain scores were collected using a parental proxy numerical rating scale (0 to 10) and opioid use was recorded as the number of doses taken. From 2014 to 2016, there were 126 patients who were prescribed a mean of 47 doses of opioid medication at discharge. From 2017 to 2018, telephone questionnaires were completed in 63 patients. There was no significant difference (P>0.05) in pain ratings or opioid use by fracture type (Gartland), age, or sex. Children required a mean of 4 doses of oxycodone postoperatively. There were 18 (28%) patients who did not require any oxycodone. On average, pain scores were highest on postoperative day 1 (average 5/10) and decreased to clinically unimportant levels (<1) by postoperative day 5. Acetaminophen and ibuprofen were utilized as first-line pain medications in only 25% and 9% of patients, respectively. Two of 3 patients who used >15 oxycodone doses experienced a minor postoperative complication. Pediatric patients have been overprescribed opioids after operative treatment of supracondylar humerus fractures at our institution. Families who report pain scores >5 of 10 and/or persistent opioid use beyond postoperative day 5 warrant further clinical evaluation. Two of 3 pain outliers in this study experienced a minor postoperative complication. With appropriate parental counseling, satisfactory pain control can likely be achieved with acetaminophen and ibuprofen for most patients. If oxycodone is prescribed for breakthrough pain, then the authors recommend limiting to <6 doses. Level IV-observational, cohort study.

Self-reported reasons for treatment nonadherence in chronic obstructive pulmonary disease (COPD) patients: a 24-week prospective cohort study in China

Adherence to medication plays an important role in the control of disease progression and treatment costs for patients with chronic obstructive pulmonary disease (COPD). Existing studies are mostly retrospective studies based on local medical insurance databases and prescription records and therefore cannot analyze or determine the causes of poor adherence in COPD patients. This is a prospective study that enrolled 1,223 COPD patients, including 929 newly diagnosed patients and 294 previously diagnosed patients. Telephone follow-up was conducted to administer a questionnaire on treatment adherence and collect detailed information on the prescriptions and the actual use of medications for COPD. The follow-up period was 24 weeks. COPD patients had adherence rates of 74.65%, 49.63%, and 33.61% at 4-, 12-, and 24-week telephone follow-ups, respectively. Cox regression showed that women, newly diagnosed patients, patients with a mild Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage, and patients with fewer routes of administration had poorer adherence. According to the subgroup analysis of the diagnostic status, the overall adherence of the newly diagnosed patients was poorer than that of the previously diagnosed patients. Among the causes of nonadherence, drug stoppage after remission (27.2%) was the most common cause, followed by economic factors (21.5%) and poor efficacy (21.1%). This is the first study focusing on the adherence behavior of newly diagnosed COPD patients and the first large-scale clinical study on the Chinese population. Overall, sex, diagnostic status (newly diagnosed and previously diagnosed), GOLD stage, and routes of administration were the four major factors that affected the adherence of COPD patients.

Enhancing health literacy through developing core abilities of correct medication usage in Taiwan

The core abilities in correct medication usage was developed in Taiwan through the following stages: literature research and information collection, focus groups and experts meetings to discuss and develop core abilities, disseminate the education activities of these core abilities in 51 schools, and evaluative survey. Forty-four articles were abstracted for reference of voting in the focus groups. The most popular issues related medication usage and safety were ”medications provided by medical or pharmacy experts” and ”how to take medications correctly”. The experts meetings generated five core abilities of correct medication usages: ability to clearly express personal conditions to your physicians, ability to check information on the medication packages, ability to correctly take medications as prescribed, ability to be the master of yourself in taking medications, and ability to be friends with pharmacists and physicians. 444 teachers and 4035 students participated in the evaluative survey on the core ability of correct medication usage. The education activities implemented enhances the core ability of correct medication usage in the knowledge, attitude, and behaviors of the students and teachers. Each question in the survey was developed with a single correct response and addressed five aspects: knowledge, attitude, practice, actual use of medications, and partnership. The scale has good reliability and validity, with content validity index of 0.91 and the internal consistency reliability above 0.69, the split-half re1iability above 0.77, and the test-retest reliability above 0.83. The study concluded that the five core abilities of correct medications usage in Taiwan can enhance the health literacy. Further studies are needed to evaluate the utilization in subjects with different backgrounds or health conditions.