Assessment of Patient Medication Adherence, Medical Record Accuracy, and Medication Blood Concentrations for Prescription and Over-the-Counter Medications

Statin adherence in coronary outpatients: The relationship between a novel blood test and pharmacy registry data

BACKGROUND AND AIMS

An accurate and feasible method to assess adherence to statin therapy is needed. We developed a novel blood test to identify reduced statin adherence and compared statin adherence determined by a single blood test to pharmacy registry data.

METHODS

In a retrospective cohort study of patients prescribed atorvastatin or simvastatin during hospitalization for a coronary heart disease event, a single blood sample was collected median 18 months later. Patients were unaware of the forthcoming statin analyses. Statin adherence was determined by drug concentration measurements using liquid chromatography mass spectrometry and the Norwegian Prescription Database by gaps in statin dispenses.

RESULTS

Out of 451 patients, 9 % (n = 39) had reduced adherence (≥2 doses omitted) determined by the blood test. Among those classified as adherent by the blood test, only 0.7 % (n = 3) had a treatment gap ≥90 days during the preceding three months, whereas 28 % (n = 115) during the entire follow-up period (median 5.9 years). Of 39 patients classified with reduced adherence by the blood test, 28 % (n = 11) had treatment gaps ≥90 days during the preceding three months, and 66 % (n = 26) during the entire study period. Patients classified with reduced adherence by the blood test, but not registry data, had numerically more coronary events prior to the index event compared to adherent patients.

CONCLUSIONS

In coronary outpatients, high adherence to statin treatment measured by a novel blood test aligns with adherence assessed by pharmacy registry. The blood test emerges as a promising tool for enhancing lipid management in clinical practice.

Improvement of non-adherence and reduction of BP values in patients with difficult-to-treat hypertension: the ATHAN clinical trial

Hypertension treatment and blood pressure (BP) control reduce cardiovascular disease burden. However, prevalence of controlled BP is overall insufficient and lack of adherence to treatment is a suggested major contributor. This prospective, randomized clinical trial was designed to evaluate whether a specific 3-month (m) action plan to improve therapeutic adherence results in a decrease in BP. Patients with ambulatory 24 h-BP ≥ 130/80 mmHg despite receiving ≥2 antihypertensive drugs and with therapeutic non-compliance confirmed by antihypertensive drugs analyzed in urine were randomized (1:1) to receive a specific 3 m program to improve adherence (INT = intervention) or routine follow-up (C = control). Antihypertensive treatment was not modified and knowledge of non-adherence was only notified to patients randomized to the intervention group. Before randomization and at 3 m all patients underwent urinary screening for antihypertensive drugs and 24 h-ambulatory-BP monitoring. Forty-five patients (36% women, mean age: 58 ± 13 yr) were randomized. At 3 m, mean (95% CI) BP differences (INT vs. C) were 12.2 mmHg (4.3-20.8), adjusted-p = 0.032 and 8.7 mmHg (2.5-14.8), adjusted-p = 0.018 for 24 h-systolic and 24 h-diastolic BP, respectively. Differences (INT vs. C) for office SBP and DBP were 18.4 mmHg (6.8-30.1), adjusted-p = 0.005 and 15.7 mmHg (7.2-24.2), adjusted-p < 0.001. Non-detected antihypertensive drugs were median [IQR]: 40% [25-100] and 0% [0-20] at baseline and 3 m, respectively, in the INT group, and 33.3% [25-63.7] and 33.3% [23.8-57.9], in the C group (p < 0.001 for the 3-month between-group comparison). A combined action plan of notifying knowledge of non-adherence plus a 3-month specific nursing intervention to improve therapeutic adherence results in BP reduction in patients with inadequate therapeutic compliance.

The effects of multifactorial pharmacist-led intervention protocol on medication optimisation and adherence among patients with type 2 diabetes: A randomised control trial

Background

Patient-related factors and limited medication adherence in patients with chronic diseases, are associated with poor clinical outcomes, long-term complications, and increased overall disease costs. Many methods have been tested with mixed results, and innovative approaches are needed to encourage patients to adhere to their prescribed drug regimens.

Methods

This randomised controlled trial examined a new multifactorial pharmacist-led intervention protocol (MPIP), including a medication therapy management (MTM) program with face-to-face counselling, patient-specific medication booklets, and a mobile application, from July 2021 to September 2022 in the Oud Al Touba diagnostic and screening ambulatory centre in 192 patients with type 2 diabetes in the United Arab Emirates. Medication adherence was assessed using the fixed medication possession ratio of medication refills and the medication adherence questionnaire.

Results

At 12 months follow-up, participants in the MPIP showed significant improvement in overall medication adherence with total (composite) medication possession ratio (MPRt) of mean (±SD) 0.95 (±0.09) compared to 0.92 (± 0.09) in the control group with mean difference of 0.03 (95%, CI 0.01-0.06), P =0.02. In addition, improvement trend was evident in the MPIP group for all medication regimens with P value <0.01. Comparable results were noticeable in adherence questionnaire scores at the end of the study, with 66 participants in the intervention group scored zero on the questionnaire, suggesting high adherence to medication compared to the control group (48 participants only). The MTM program performed 41 clinical interventions on drug-related problems, compared to six interventions in the control group, and the use of mobile application and medication booklet have increased to 45.7% compared to 21.4% before study exit.

Conclusions

The pharmacy intervention protocol effectively improved medication adherence and optimised medication regimens in diabetic patients with chronic medication regimens in an ambulatory healthcare centre.

Do beta-blockers reduce negative intrusive thoughts and anxiety in cancer survivors? - An emulated trial

BACKGROUND

High rates of negative intrusive thoughts have been reported among cancer patients. Prevalent users of beta-blocker therapy have reported lower levels of cancer related intrusive thoughts than non-user. The aim of this study is to investigate if initiation of beta-blocker therapy reduces the prevalence and severity of intrusive thoughts (co-primary endpoints) and the prevalence of anxiety, depressed mood, and low quality of life (secondary endpoints) in cancer survivors.

METHODS

Data on patient-reported outcomes from three cohort studies of Swedish patients diagnosed with colon, prostate or rectal cancer were combined with data on beta-blocker prescriptions retrieved from the Swedish Prescribed Drug Register. Two randomized controlled trials were emulated. Trial 1 had follow-up 1 year after diagnosis, trial 2 had follow-up 2 years after diagnosis, baseline in both trials was 12 months before follow-up. Those who initiated beta-blocker therapy between baseline and follow-up was assigned Active group, those who did not was assigned Control group. All endpoints were analysed using Bayesian ordered logistic regression.

RESULTS

Trial 1 consisted of Active group, n = 59, and Control group, n = 3936. Trial 2 consisted of Active group, n = 87, and Control group, n = 3132. The majority of participants were men, 83% in trial 1 and 94% in trial 2. The prevalence and severity of intrusive thoughts were lower in the Active group in trial 1, but no significant differences between groups were found in either trial. The prevalence of depressed mood, worse quality of life and periods of anxiety were higher in the Active group in both trials with significant differences for quality of life in trial 1 and anxiety in trial 2.

CONCLUSIONS

The emulated trials demonstrated no evidence of a protective effect of beta-blocker therapy against intrusive thoughts. The Active group had reduced quality of life and elevated anxiety compared to the Control group.

TRIAL REGISTRATION

The three cohort studies were registered at isrctn.com/clinicaltrials.gov (ISRCTN06393679, NCT02530593 and NCT01477229).

Self-reported medication adherence instruments and their applicability in low-middle income countries: a scoping review

Introduction

Medication non-adherence is an important public health issue, associated with poor clinical and economic outcomes. Globally, self-reported instruments are the most widely used method to assess medication adherence. However, the majority of these were developed in high-income countries (HICs) with a well-established health care system. Their applicability in low- and middle-income countries (LMICs) remains unclear. The objective of this study is to systematically review the applicability of content and use of self-reported adherence instruments in LMICs.

Method

A scoping review informed by a literature search in Pubmed, EBSCO, and Cochrane databases was conducted to identify studies assessing medication adherence using self-reported instruments for patients with five common chronic diseases [hypertension, diabetes, dyslipidemia, asthma, or Chronic Obstructive Pulmonary Disease (COPD)] in LMICs up to January 2022 with no constraints on publication year. Two reviewers performed the study selection process, data extraction and outcomes assessment independently. Outcomes focused on LMIC applicability of the self-reported adherence instruments assessed by (i) containing LMIC relevant adherence content; (ii) methodological quality and (iii) fees for use.

Findings

We identified 181 studies that used self-reported instruments for assessing medication adherence in LMICs. A total of 32 distinct types of self-reported instruments to assess medication adherence were identified. Of these, 14 self-reported instruments were developed in LMICs, while the remaining ones were adapted from self-reported instruments originally developed in HICs. All self-reported adherence instruments in studies included presented diverse potential challenges regarding their applicability in LMICs, included an underrepresentation of LMIC relevant non-adherence reasons, such as financial issues, use of traditional medicines, religious beliefs, lack of communication with healthcare provider, running out of medicine, and access to care. Almost half of included studies showed that the existing self-reported adherence instruments lack sufficient evidence regarding cross cultural validation and internal consistency. In 70% of the studies, fees applied for using the self-reported instruments in LMICs.

Conclusion

There seems insufficient emphasis on applicability and methodological rigor of self-reported medication adherence instruments used in LMICs. This presents an opportunity for developing a self-reported adherence instrument that is suitable to health systems and resources in LMICs.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier: CRD42022302215.

Leveraging Electronic Health Record Technology and Team Care to Address Medication Adherence: Protocol for a Cluster Randomized Controlled Trial

BACKGROUND

Low medication adherence is a common cause of high blood pressure but is often unrecognized in clinical practice. Electronic data linkages between electronic health records (EHRs) and pharmacies offer the opportunity to identify low medication adherence, which can be used for interventions at the point of care. We developed a multicomponent intervention that uses linked EHR and pharmacy data to automatically identify patients with elevated blood pressure and low medication adherence. The intervention then combines team-based care with EHR-based workflows to address medication nonadherence.

OBJECTIVE

This study aims to describe the design of the Leveraging EHR Technology and Team Care to Address Medication Adherence (TEAMLET) trial, which tests the effectiveness of a multicomponent intervention that leverages EHR-based data and team-based care on medication adherence among patients with hypertension.

METHODS

TEAMLET is a pragmatic, cluster randomized controlled trial in which 10 primary care practices will be randomized 1:1 to the multicomponent intervention or usual care. We will include all patients with hypertension and low medication adherence who are seen at enrolled practices. The primary outcome is medication adherence, as measured by the proportion of days covered, and the secondary outcome is clinic systolic blood pressure. We will also assess intervention implementation, including adoption, acceptability, fidelity, cost, and sustainability.

RESULTS

As of May 2023, we have randomized 10 primary care practices into the study, with 5 practices assigned to each arm of the trial. The enrollment for the study commenced on October 5, 2022, and the trial is currently ongoing. We anticipate patient recruitment to go through the fall of 2023 and the primary outcomes to be assessed in the fall of 2024.

CONCLUSIONS

The TEAMLET trial will evaluate the effectiveness of a multicomponent intervention that leverages EHR-based data and team-based care on medication adherence. If successful, the intervention could offer a scalable approach to address inadequate blood pressure control among millions of patients with hypertension.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05349422; https://clinicaltrials.gov/ct2/show/NCT05349422.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/47930.

Risk perception and conspiracy theory endorsement predict compliance with COVID-19 public health measures

Public health measures such as spatial distancing and physical hygiene have been found effective in mitigating the spread of the coronavirus. However, there is considerable variability in individual compliance with such public health measures and factors contributing to these interindividual differences are currently still understudied. The present study set out to determine the role of risk perception and conspiracy theory endorsement on compliance with COVID-19 public health measures and explored variations in these associations across participant age and the developmental status of a country, leveraging a large multi-national data set (N = 45,772) across 66 countries/territories, collected via online survey during the early phase of the COVID-19 pandemic (between April and May 2020). Human Development Index (HDI), developed by the United Nations Development Program, was used as a proxy of a country's achievement in key dimensions of human development. Overall, higher risk perception was associated with greater compliance, particularly in individuals with greater conspiracy theory endorsement. Specifically, people from more developed countries who perceived themselves less at risk but showed stronger conspiracy theory endorsement reported the lowest compliance with COVID-19 public health measures. Findings from this study advance understanding of the interplay between risk perception and conspiracy theory endorsement in their effect on compliance with COVID-19 public health measures, under consideration of both individual-level and country-level demographic variables and have potential to inform the design of tailored interventions to fight the current and future global pandemics.

The effect of medication reconciliation on generating an accurate medication list in a pharmacogenomics practice

Background

Medication reconciliation is recognized as a critically important medication safety element and a key initiative by multiple organizations. Within our precision medicine program, accurate medication lists are essential to our ability to make specific medication recommendations based on pharmacogenetic results. Our study aimed to identify discrepancies within the patient's medication list to improve medication management via genetic factors through a pharmacy team-based approach.

Methods

A dedicated team of pharmacists and trained student pharmacists conducted telephone interviews to complete medication reconciliation for individuals enrolled in our precision medicine preemptive screening program. Medication list discrepancies were tracked as well as if pharmacogenetic consults were altered by findings during the telephone interviews.

Results

Medication reconciliation was completed on 465 participants who had recently received or were awaiting pharmacogenetic testing. We found similar results to previously described rates of medication list discrepancies with an average of 4.9 medication discrepancies per patient as well as greater than 90% of individuals having at least one medication discrepancy. Pharmacogenetic recommendations for 20 individuals (4.3%) required adjustment following medication reconciliation.

Conclusions

This pilot program supports the value of a dedicated team for medication reconciliation and the importance of accurate medication lists to optimize precision medicine programs.

Direct oral anticoagulants and therapeutic adherence: do not let your guard down

BACKGROUND

Direct oral anticoagulants (DOAC) and vitamin K antagonist drugs (VKA) are recommended for stroke prevention in atrial fibrillation and for treatment of venous thromboembolism. Undoubtedly, DOAC have contributed to improve quality of life of these patients, but unfortunately, available 'real world' data show a very high variable compliance to DOAC.

AIMS AND OBJECTIVES

to evaluate predictors that adversely affect therapeutic adherence in patients naive naïve  to DOAC.

METHODS AND POPULATION

this study was conducted on an outpatient population in oral anticoagulant therapy in a period between January 2019 and February 2020. Patients naiveto DOAC and treated for at least 6 months were enrolled. Non-Italian-speaking patients, cognitive or psychiatric disorders, refusal to participate or non-consent to the interview were exclusion criteria. A socio-demographic scale and the 8-item Morisky scale (MMAS-8) questionnaire assessed therapeutic adherence.

RESULTS

One hundred two DOAC-naïve patients were selected from a population of 407 patients on the first visit at our centre. The population was homogeneously represented for gender (males 48%). The mean age was 79.5 years. Atrial fibrillation (65.7%) resulted the main reason for DOAC prescription and a polypharmacy was detected in 47.1% of the patients. Moreover, an optimal adherence to DOAC therapy was assessed in less than 30% of patients.

CONCLUSIONS

Polypharmacy, patient's isolation, such as a low education level were statistically associated with a low therapeutic adherence. Therapeutic adherence remains an unsolved problem for anticoagulated patient. To identify patients at higher risk of poor compliance and therapeutic failure and establish targeted care pathways is a priority.

Long-Term Secondary Prevention: Management of Blood Pressure After a Transient Ischemic Attack or Stroke

Reducing blood pressure (BP) is a highly effective strategy for long-term stroke prevention. Despite overwhelmingly clear evidence from randomized trials that antihypertensive therapy substantially reduces the risk of stroke in primary prevention, uncertainty still surrounds the issue of BP lowering after cerebrovascular events, and the risk of recurrent stroke, coronary events, and vascular death remains significant. Important questions in a secondary prevention setting include should everyone be treated regardless of their poststroke BP, how soon after a stroke should BP-lowering treatment be commenced, how intensively should BP be lowered, what drugs are best, and how should long-term BP control be optimized and monitored. We review the evidence on BP control after a transient ischemic attack or stroke to address these unanswered questions and draw attention to some recent developments that hold promise to improve management of BP in current practice.

Medication Adherence and Blood Pressure Control: A Scientific Statement From the American Heart Association

The widespread treatment of hypertension and resultant improvement in blood pressure have been major contributors to the dramatic age-specific decline in heart disease and stroke. Despite this progress, a persistent gap remains between stated public health targets and achieved blood pressure control rates. Many factors may be important contributors to the gap between population hypertension control goals and currently observed control levels. Among them is the extent to which patients adhere to prescribed treatment. The goal of this scientific statement is to summarize the current state of knowledge of the contribution of medication nonadherence to the national prevalence of poor blood pressure control, methods for measuring medication adherence and their associated challenges, risk factors for antihypertensive medication nonadherence, and strategies for improving adherence to antihypertensive medications at both the individual and health system levels.

Validation of self-reported medication use applying untargeted mass spectrometry-based metabolomics techniques in the Rhineland study

AIMS

To assess the validity of self-reported continuous medication use with drug metabolites measured in plasma by using untargeted mass spectrometric techniques.

METHODS

In a population-based cohort in Bonn, Germany, we compared interview-based, self-reported medication intake with drug-specific metabolites measured in plasma (based on participants who completed their study visits between March 2016 and February 2020). Analyses were done stratified by sex and age (<65 years vs ≥65 years). Cohen's kappa (κ) statistics with 95% confidence intervals (CI) were calculated.

RESULTS

A total of 13 drugs used to treat hypertension, gout, diabetes, epilepsy and depression were analysed in a sample of 4386 individuals (mean age 55 years, 56.1% women). Eleven drugs showed almost perfect agreement (κ > 0.8), whereas sitagliptin and hydrochlorothiazide showed substantial (κ = 0.8, 95% CI 0.71-0.90) and moderate agreement (κ = 0.61, 95% CI 0.56-0.66), respectively. Frequency of use allowed sex- and age-stratified analyses for eight and nine drugs, respectively. For five drugs, concordance tended to be higher for women than for men. For most drugs, concordance was higher among individuals aged ≥65 years than among individuals aged <65 years, but these age-related differences were not statistically significant.

CONCLUSION

High concordance rates between self-reported drug use and metabolites measured in plasma suggest that self-reported drug use is reliable and accurate for assessing drug use.

The relationship between directly measured statin adherence, self-reported adherence measures and cholesterol levels in patients with coronary heart disease

BACKGROUND AND AIMS

We aimed to determine the relationship between statin adherence measured directly, and by self-report measures and serum cholesterol levels.

METHODS

Patients prescribed atorvastatin (N = 373) participated in a cross-sectional study 2-36 months after a coronary event. Self-reported adherence included statin adherence the past week, the 8-item Morisky medication adherence scale (MMAS-8), and the Gehi et al. adherence question. Atorvastatin was measured directly in spot blood plasma by a novel liquid chromatography tandem mass-spectrometry method discriminating adherence (0-1 doses omitted) and reduced adherence (≥2 doses omitted). Participants were unaware of the atorvastatin analyses at study participation.

RESULTS

Mean age was 63 (SD 9) years and 8% had reduced atorvastatin adherence according to the direct method. In patients classified with reduced adherence by the direct method, 40% reported reduced statin adherence, 32% reported reduced adherence with the MMAS-8 and 22% with the Gehi question. In those adherent by the direct method, 96% also reported high statin adherence, 95% reported high adherence on the MMAS-8 whereas 94% reported high adherence on the Gehi question. Cohen's kappa agreement score with the direct method was 0.4 for self-reported statin adherence, 0.3 for the Gehi question and 0.2 for the MMAS-8. Adherence determined by the direct method, self-reported statin adherence last week, and the Gehi question was inversely related to LDL-cholesterol levels with a p-value of <0.001, 0.001 and 0.004, respectively.

CONCLUSIONS

Plasma-statin measurements reveal reduced adherence with higher sensitivity than self-report measures, relate to cholesterol levels, and may prove to be a useful tool to improve lipid management.

A multi-national test on self-reported compliance with COVID-19 public health measures: The role of individual age and gender demographics and countries' developmental status

Rationale/objective

The COVID-19 pandemic has brought far-reaching consequences on individual and societal levels. Social distancing and physical hygiene constitute effective public health measures to limit the spread of the virus. This study investigated age and gender demographics, in tandem with national levels of human development, as crucial factors influencing self-reported compliance with COVID-19-related public health measures.

Methods

The present study leveraged a large multi-national sample that ranged across the adult lifespan (18–100 years) and comprised 45,772 women and men from 66 countries/territories. Data were collected in Spring (2020) during the earlier phase of the COVID-19 pandemic. Self-reports of compliance with two public health measures (spatial distancing and physical hygiene) were assessed via online survey. Human Development Index (HDI), developed by the United Nations Development Program, was used as a proxy of a country's achievement in key dimensions of human development.

Results

Older age, female gender, and lower HDI were independently associated with greater self-reported compliance. A significant three-way interaction further revealed that self-reported compliance was lowest in young males from well-developed countries, while highest among females across all ages from less-developed countries.

Conclusion

The study offers an integration of individual-level and country-level demographic predictors of self-reported compliance and allows for robust testing in a large multi-national adult lifespan sample for enhanced generalizability. The results highlight the potential of data-driven, tailored (i.e., towards specific demographics, countries) health campaigns and public policies in the fight against a global pandemic.

Antihypertensive medication adherence trends by sex and drug class: A pilot study

Introduction

Antihypertensive medication nonadherence is a prevalent issue but is very difficult to accurately assess. To clarify this problem among hypertensive patients attending a cardiovascular disease outpatient clinic, we utilized high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS) to assess antihypertensive medication adherence and identify trends by sex and drug class.

Methods

Serum was extracted from blood samples obtained from patients with either drug-controlled or drug resistant hypertension (RHTN) and analyzed via HPLC-MS for antihypertensive drugs which were categorized by drug class as beta blockers, aldosterone antagonists, diuretics, ACE inhibitor/ARBs, or calcium channel blockers. Clinic blood pressure (BP), sex, and prescription regimens were extracted from medical records at or near the time of blood collection. "Adherence" or "nonadherence" was determined by comparison of the patient's prescribed drug regimen and the presence/absence of prescribed drug(s) in their serum.

Results

Among 76 patients (47 women; mean age 63; 53% white), nonadherence was confirmed in 29%. RHTN was more frequently identified in women than men (55% vs 38%) and nonadherence was higher in women than men (34% vs 21%). BP in those who were adherent to prescribed antihypertensive drugs was significantly lower than in those who were nonadherent (129/75 vs 145/83 mmHg, p = 0.0015). Overall, ACE inhibitors/ARBs were associated with the least nonadherence. Among women, nonadherence was highest for aldosterone antagonists, whereas among men, nonadherence was highest for diuretics.

Conclusion

We observed nonadherence was more frequent among older women in a cohort of HTN and RHTN patients with cardiovascular disease based on HPLC-MS confirmed drug levels.

A patient and family reporting system for perceived ambulatory note mistakes: experience at 3 U.S. healthcare centers

OBJECTIVE

The study sought to test a patient and family online reporting system for perceived ambulatory visit note inaccuracies.

MATERIALS AND METHODS

We implemented a patient and family electronic reporting system at 3 U.S. healthcare centers: a northeast urban academic adult medical center (AD), a northeast urban academic pediatric medical center (PED), and a southeast nonprofit hospital network (NET). Patients and families reported potential documentation inaccuracies after reading primary care and subspecialty visit notes. Results were characterized using descriptive statistics and coded for clinical relevance.

RESULTS

We received 1440 patient and family reports (780 AD, 402 PED, and 258 NET), and 27% of the reports identified a potential inaccuracy (25% AD, 35% PED, 28% NET). Among these, patients and families indicated that the potential inaccuracy was important or very important in 58% of reports (55% AD, 55% PED, 71% NET). The most common types of potential inaccuracies included description of symptoms (21%), past medical problems (21%), medications (18%), and important information that was missing (15%). Most patient- and family-reported inaccuracies resulted in a change to care or to the medical record (55% AD, 67% PED, data not available at NET).

DISCUSSION

About one-quarter of patients and families using an online reporting system identified potential documentation inaccuracies in visit notes and more than half were considered important by patients and clinicians, underscoring the potential role of patients and families as ambulatory safety partners.

CONCLUSIONS

Partnering with patients and families to obtain reports on inaccuracies in visit notes may contribute to safer care. Mechanisms to encourage greater use of patient and family reporting systems are needed.

Is there any Hope for Monitoring Adherence in an Efficient and Feasible Way for Resistant Hypertension Diagnosis and Follow-Up?

PURPOSE OF REVIEW

Non-adherence to antihypertensive treatment is highly prevalent and represents a major factor affecting their effectiveness in hypertensive patients, thus contributing to apparent treatment resistance. It is however often overlooked because the methods to assess non-adherence are mainly subjective, limiting their usefulness in clinical practice. Non-adherence to treatment affects daily patient management, resulting in inappropriate, costly, and potentially harmful treatments and loss of the expected benefits from antihypertensive drugs.

RECENT FINDINGS

Specialized centers now use a combination of objective screening tools. Firstly, snapshots of adherence levels can be provided by analytical drug detection in various biological matrixes using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and secondly electronic monitoring systems of drug delivery which provide longitudinal data on adherence. Routine utilization of those tools allows the detection of non-adherence in patients with resistant hypertension, thus enabling implementation of appropriate interventions to improve drug adherence and avoid unnecessary treatment intensification. Other complementary techniques, such as digital health feedback system with ingestible sensors, are currently evaluated. In the context of an increasing burden of uncontrolled and apparent treatment-resistant hypertension, detecting non-adherence to antihypertensive therapy is, as acknowledged by the latest guidelines, a top priority to implement in clinical practice but still faces medical conservatism and disbelief.

High Parental Anxiety Increases Narcotic Use in Adolescent Patients Following Spinal Fusion

BACKGROUND

Parental mental status and behavior may influence postoperative recovery and the use of pain medication. The purpose of this study is to identify if parents with high anxiety are associated with prolonged narcotic use in adolescent patients following posterior spinal fusion surgery. Prolonged narcotic use in this study was defined as opioid use at their first postoperative visit.

METHODS

AIS patients age 11 to 20 years undergoing posterior spinal fusion and a parent were prospectively enrolled. At the preoperative appointment, patients completed the Spence Children's Anxiety Scale and parents completed the State-Trait Anxiety Inventory. High parental anxiety was defined as 1 SD above the normative mean. At the first postoperative visit, patients were asked about medication use.

RESULTS

A total of 58 patients (49 females and 9 males) were enrolled. Overall, 29% (17/58) of parents had a high general anxiety trait on the State-Trait Anxiety Inventory and 71% (41/58) had normal general anxiety. Of the patients whose parents had high general anxiety, 47% (8/17) were still taking narcotics at their first postoperative visit compared with 20% (8/41) of patients with normal anxiety parents (P=0.03).

CONCLUSIONS

Patients with high general anxiety parents were more than twice as likely to still be on narcotics at their first postoperative visit. This information can be used to counsel families on the impact of anxiety on narcotic usage.

LEVEL OF EVIDENCE

Level II-prognostic studies-investigating the effect of a patient characteristic on the outcome of the disease.

Non-prescription medicines may contribute to non-adherence to prescription medicines in people living with chronic health conditions

BACKGROUND

Non-adherence to prescribed medicines is linked to adverse health outcomes in people living with chronic health conditions (CHCs). Multiple factors are known to contribute to non-adherence to medicines including polypharmacy, demographic features and disease and health systems. Both non-prescription and prescription medicines contribute to polypharmacy; however, there is limited data on the influence of non-prescription medicines to non-adherence.

AIM

Therefore, the aim of the study was to investigate the influence of non-prescription medicines to non-adherence in an Australian population.

METHODS

Data from the 2016 National Survey of a random sample of Australian adult residents were utilised in this study to investigate factors associated with non-adherence. Descriptive statistics, χ² , regression and generalised linear models were used to assess the relationships between variables of interest. Narrative response and comments were used to provide further insight.

RESULTS

This study recruited 1217 participants to explore factors associated with non-adherence to medicines. Weak but statistically significant correlations were identified showing the number of CHCs, patient's age, number of prescription medicines, number of non-prescription medicines and total number of medicines associated with non-adherence.

DISCUSSION

The findings suggest that people living with CHCs and taking multiple medicines, including non-prescription medicines, are likely to be non-adherent to prescription medicines. This study shows the possible involvement of non-prescription medicines in contributing to non-adherence in an Australian population and suggests that future studies with a broader demographic are warranted.

Revisited: Therapeutic and toxic blood concentrations of more than 1100 drugs and other xenobiotics

In order to assess the significance of drug/substance levels measured in intensive care medicine and clinical and forensic toxicology as well as for therapeutic drug monitoring, it is essential that a comprehensive collection of data is readily available. We revisited and expanded our 2012 compilation of therapeutic and toxic plasma concentration ranges as well as half-lives of now more than 1100 drugs and other xenobiotics.

Data have been abstracted from original papers, text books, and previous compilations and have been completed with data collected in our own forensic and clinical toxicology laboratories. We compiled the data presented in the table and the corresponding annotations over the past 30+ years. A previous compilation was completely double-checked, revised, and updated, if necessary. In addition, more than 200 substances, especially drugs who have been introduced since 2012 to the market as well as illegal drugs and other xenobiotics which became known to cause intoxications were added. We carefully referenced all data. Moreover, the annotations providing details were updated and revised, when necessary.

For more than 1100 drugs and other xenobiotics, therapeutic (“normal”) and, if data was available, toxic, and comatose-fatal plasma/blood concentrations as well as elimination half-lives were compiled in a table.

In case of intoxications, the blood concentration of the substance and/or metabolite better predicts the clinical severity of the case when compared to the assumed amount and time of ingestion. Comparing and contrasting the clinical case against the data provided, including the half-life, may support the decision for or against further intensive care. In addition, the data provided are useful for the therapeutic monitoring of pharmacotherapies, to facilitate the diagnostic assessment and monitoring of acute and chronic intoxications as well as to support forensic and clinical expert opinions.

Hyphenated mass spectrometry techniques for assessing medication adherence: advantages, challenges, clinical applications and future perspectives

Nonadherence to prescribed pharmacotherapy is an understated public health problem globally and is costing many patients their chance to return to good health and healthcare systems billions. Clinicians need an accurate assessment of adherence to medications to aid the clinical decision-making process in the event of poor patient progress and to maximise the patient health outcomes from the drug therapies prescribed. An overview of indirect and direct methods used to measure medication adherence is presented, highlighting the potential for accurate measuring of drugs in biological samples using hyphenated mass spectrometry (MS) techniques to provide healthcare professionals with a reliable evidence base for clinical decision making. In this review we summarise published applications of hyphenated MS techniques for a diverse range of clinical areas demonstrating the rise in the use of such direct methods for assessing medication adherence. Although liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods using plasma, serum and urine samples are the most popular, in recent years increased attention has been given to liquid chromatography high-resolution mass spectrometry (LC-HRMS) methods and alternative biosample matrices including hair, saliva and blood microsamples. The advantages and challenges of using hyphenated MS techniques to address this healthcare problem are also discussed alongside future perspectives.

Characteristics Associated With U.S. Outpatient Opioid Analgesic Prescribing and Gabapentinoid Co-Prescribing

INTRODUCTION

A considerable burden of prescription and illicit opioid-related mortality and morbidity in the U.S. is attributable to potentially unnecessary or excessive opioid prescribing, and co-prescribing gabapentinoids may increase risk of harm. Data are needed regarding physician and patient characteristics associated with opioid analgesic and opioid analgesic-gabapentinoid co-prescriptions to elucidate targets for reducing preventable harm.

METHODS

Multiple logistic regression was utilized to examine patient and physician predictors of opioid analgesic prescriptions and opioid analgesic-gabapentinoid co-prescriptions in adult noncancer patients using the National Ambulatory Medical Care Survey 2015 public use data set. Potential predictors were selected based on literature review, clinical relevance, and random forest machine learning algorithms.

RESULTS

Among the 11.8% (95% CI=9.8%, 13.9%) of medical encounters with an opioid prescription, 16.2% (95% CI=12.6%, 19.8%) had a gabapentinoid co-prescription. Among all gabapentinoid encounters, 40.7% (95% CI=32.6%, 48.7%) had an opioid co-prescription. Predictors of opioid prescription included arthritis (OR=1.87, 95% CI=1.30, 2.69). Predictors of new opioid prescription included physician status as an independent contractor (OR=3.67, 95% CI=1.38, 9.81) or part owner of the practice (OR=3.34, 95% CI=1.74, 6.42). Predictors of opioid-gabapentinoid co-prescription included patient age (peaking at age 55-64 years; OR=35.67, 95% CI=4.32, 294.43).

CONCLUSIONS

Predictors of opioid analgesic prescriptions with and without gabapentinoid co-prescriptions were identified. These predictors can help inform and reinforce (e.g., educational) interventions seeking to reduce preventable harm, help identify populations for elucidating opioid-gabapentinoid risk-benefit profiles, and provide a baseline for evaluating subsequent public health measures.

Bioanalytical Assessment of Plasma Concentrations of Angiotensin-Converting Enzyme II Inhibitors and Angiotensin Receptor Blockers: A Pilot Study Among Patients Hospitalized With Acute Heart Failure

BACKGROUND

Although angiotensin-converting enzyme II inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs) improve chronic heart failure (HF) outcomes, their potential harms and benefits in acute HF (AHF) is less clear.

STUDY QUESTION

We explored the relationship between ACEI or ARB plasma concentrations among patients with AHF with in-hospital change in estimated glomerular filtration rate (eGFR).

DATA SOURCES AND STUDY DESIGN

From August 2016-June 2017, patients with AHF prescribed an outpatient ACEI or ARB were enrolled before AHF treatment. All patients were given twice their home dose of diuretic intravenously and received clinical care at the discretion of the medical team. Of 61 patients in the parent study, saved plasma from 34 who were prescribed an outpatient ACEI or ARB was included in this substudy.

MEASURES AND OUTCOMES

Liquid chromatography-tandem mass spectrometry was performed to assess ACEI or ARB plasma concentrations before AHF treatment. Change in eGFR was computed using the Chronic Kidney Disease Epidemiology Collaboration equation, which adjusts for age, sex, and race; diuretic dose and enrollment eGFR were used to adjust for HF severity. Multiple linear regression adjusting for enrollment eGFR and diuretic dose was performed to examine the relationship between drug concentration (undetectable/low vs. in/above-range) and in-hospital change in eGFR.

RESULTS

Of 34 patients with AHF, median age was 63 years (interquartile range, 58-78 years), 19 (55.9%) were women, median eGFR at enrollment was 55.6 mL/min (interquartile range, 35.2-75.3 mL/min), and for 11 (32.4%), no ACEI or ARB was detectable in plasma. Medication concentrations in- or above-reference range were associated with in-hospital decrease in eGFR of 8.3 mL/min (95% confidence interval, 15.3-1.3 mL/min decrease), after adjusting for enrollment eGFR and diuretic treatment.

CONCLUSIONS

Bioanalytical assessment of medication levels may be useful to guide in-hospital ACEI and ARB therapy for patients with AHF.

A comparison of potential psychiatric drug interactions from six drug interaction database programs

Harmful drug-drug interactions (DDI) frequently include psychiatric drugs. Drug interaction database programs are viewed as a primary tool to alert physicians of potential DDI, but may provide different results as there is no standard to define DDI. This study compared the category of potential DDI provided by 6 commercial drug interaction database programs (3 subscription, 3 open access) for 100 drug interaction pairs. The pairs involved 94 different drugs; 67 included a psychiatric and non-psychiatric drug, and 33 included two psychiatric drugs. The category assigned to the potential DDI by the 6 programs was compared using percent agreement and Fleiss' kappa interrater reliability measure. The overall percent agreement for the category of potential DDI for the 100 drug interaction pairs was 66%. The Fleiss kappa overall interrater agreement was fair. The kappa agreement was substantial for interaction pairs with any severe category rating, and fair for interaction pairs with any major category rating. The category of potential DDI for drug interaction pairs including psychiatric drugs often differs among drug interaction database programs. Modern technology allows easy access to several interaction database programs. When assistance from a drug interaction database program is needed, the physician should check more than one program.

Accuracy of self-reported cancer treatment data in young breast cancer survivors

BACKGROUND

Patient-reports of cancer treatments are sometimes used in oncology research and clinically when medical records are unavailable. We aimed to evaluate the accuracy of patient recall in this setting.

MATERIALS AND METHODS

Participants were recruited through an email request from the Dr. Susan Love Research Foundation Army of Women seeking women diagnosed with breast cancer under age 50 and within the past ten years, self-reporting to have been treated with chemotherapy. After informed consent, participants received a web-based survey that inquired about use of and type of chemotherapy and endocrine therapy received. Medical records were reviewed, and discrepancies were defined as patient-report of a different class of drug than documented in the medical record, failing to report a documented class of drug, or responding "don't know."

RESULTS

Of 171 eligible participants, completed questionnaires and medical records were available for 102 (60%). Median age at diagnosis was 41 years (range 25-49), and median time from diagnosis was 65.5 months (range 7-131). Ninety-two percent had completed college. Receipt of chemotherapy was documented in the medical records of 100% of these women who self-reported a personal history of chemotherapy, and there was also 98% concordance regarding receipt of endocrine therapy (yes vs. no). However, discrepancies were identified in 29% of patients regarding chemotherapy types. Time since diagnosis did not increase the likelihood of discrepancies.

CONCLUSION

Highly educated young women diagnosed with breast cancer more than five years prior accurately report whether or not they received broad systemic treatment categories. However, self-reports regarding specific drugs should be confirmed by medical record review.