Intentional and non-intentional non-adherence to medication amongst breast cancer patients

This study aimed to investigate the prevalence of and factors associated with non-adherence to medication amongst a sample of breast cancer patients. 131 women with stable disease were interviewed and completed standardised psychological measures. 55% of women reported non-adherence to medication frequently or occasionally, with younger women and those who disliked taking their medication being significantly less adherent (P = 0.015, P = 0.001). Women who deliberately omitted taking their tablets occasionally or frequently had significantly lower scores, indicative of a weaker influence, on 'internal' and 'powerful others' dimensions of health locus of control (P = 0.032, P = 0.009). Despite a life-threatening diagnosis, patients may not adhere to medication representing a potential missed opportunity for health gain and waste of resources. Furthermore, interpretation of clinical trial data may be misleading without adherence information. More research is needed to identify those at risk for non-adherence. If other routes of administration are available these options should be discussed with patients to maximise efficacy of therapy

Analyzing Medication Documentation in Electronic Health Records: Dental Students’ Self-Reported Behaviors and Charting Practices

The aim of this two-part study was to assess third- and fourth-year dental students’ perceptions, self-reported behaviors, and actual charting practices regarding medication documentation in axiUm, the electronic health record (EHR) system. In part one of the study, in fall 2015, all 125 third- and 85 fourth-year dental students at one U.S. dental school were invited to complete a ten-item anonymous survey on medication history-taking. In part two of the study, the EHRs of 519 recent dental school patients were randomly chosen via axiUm query based on age >21 years and the presence of at least one documented medication. Documentation completeness was assessed per EHR and each medication based on proper medication name, classification, dose/frequency, indication, potential oral effects, and correct medication spelling. Consistency was evaluated by identifying the presence/absence of a medical reason for each medication. The survey response rate was 90.6% (N=187). In total, 64.5% of responding students reported that taking a complete medication history is important and useful in enhancing pharmacology knowledge; 90.4% perceived it helped improve their understanding of patients’ medical conditions. The fourth-year students were more likely than the third-year students to value the latter (p=0.0236). Overall, 48.6% reported reviewing patient medications with clinic faculty 76-100% of the time. The respondents’ most frequently cited perceived barriers to medication documentation were patients’ not knowing their medications (68.5%) and, to a much lesser degree, axiUm limitations (14%). Proper medication name was most often recorded (93.6%), and potential oral effects were recorded the least (3.0%). Medication/medical condition consistency was 70.6%. In this study, most of the students perceived patient medication documentation as important; however, many did not appreciate the importance of all elements of a complete medication history, and complete medication documentation was low

Medication taking behaviour and hypertension: A review of the literature

Hypertension is a global illness and one that affects circa 20% of the population. Despite the effectiveness of treatment, adherence with medication is a key concern, particularly in the elderly. Over the last 30 years, a variety of measures have been employed to assess adherence and yet no one measure is deemed to be the gold standard. Evidence suggests that it may be more reliable to use a combination of methods. Two forms of nonadherence are noted; intentional and unintentional. These forms are significantly different with regard to underpinning characteristics and patient features. In order to improve adherence with antihypertensive medication a shared decision making approach should be adopted during patient consultation, which focuses on patients’ impressions of illness and underpinning health beliefs. This approach to consultation should be actively encouraged as part of the medication management of patients

The Feasibility of a Using a Smart Button Mobile Health System to Self-Track Medication Adherence and Deliver Tailored Short Message Service Text Message Feedback

BACKGROUND: As many as 50% of people experience medication nonadherence, yet studies for detecting nonadherence and delivering real-time interventions to improve adherence are lacking. Mobile health (mHealth) technologies show promise to track and support medication adherence. OBJECTIVE: The study aimed to evaluate the feasibility and acceptability of using an mHealth system for medication adherence tracking and intervention delivery. The mHealth system comprises a smart button device to self-track medication taking, a companion smartphone app, a computer algorithm used to determine adherence and then deliver a standard or tailored SMS (short message service) text message on the basis of timing of medication taking. Standard SMS text messages indicated that the smartphone app registered the button press, whereas tailored SMS text messages encouraged habit formation and systems thinking on the basis of the timing the medications were taken. METHODS: A convenience sample of 5 adults with chronic kidney disease (CKD), who were prescribed antihypertensive medication, participated in a 52-day longitudinal study. The study was conducted in 3 phases, with a standard SMS text message sent in phases 1 (study days 1-14) and 3 (study days 46-52) and tailored SMS text messages sent during phase 2 (study days 15-45) in response to participant medication self-tracking. Medication adherence was measured using: (1) the smart button and (2) electronic medication monitoring caps. Concordance between these 2 methods was evaluated using percentage of measurements made on the same day and occurring within ±5 min of one another. Acceptability was evaluated using qualitative feedback from participants. RESULTS: A total of 5 patients with CKD, stages 1-4, were enrolled in the study, with the majority being men (60%), white (80%), and Hispanic/Latino (40%) of middle age (52.6 years, SD 22.49; range 20-70). The mHealth system was successfully initiated in the clinic setting for all enrolled participants. Of the expected 260 data points, 36.5% (n=95) were recorded with the smart button and 76.2% (n=198) with electronic monitoring. Concordant events (n=94), in which events were recorded with both the smart button and electronic monitoring, occurred 47% of the time and 58% of these events occurred within ±5 min of one another. Participant comments suggested SMS text messages were encouraging. CONCLUSIONS: It was feasible to recruit participants in the clinic setting for an mHealth study, and our system was successfully initiated for all enrolled participants. The smart button is an innovative way to self-report adherence data, including date and timing of medication taking, which were not previously available from measures that rely on recall of adherence. Although the selected smart button had poor concordance with electronic monitoring caps, participants were willing to use it to self-track medication adherence, and they found the mHealth system acceptable to use in most cases

Prescription and Other Medication Use in Pregnancy

OBJECTIVE: To characterize prescription and other medication use in a geographically and ethnically diverse cohort of women in their first pregnancy. METHODS: In a prospective, longitudinal cohort study of nulliparous women followed through pregnancy from the first trimester, medication use was chronicled longitudinally throughout pregnancy. Structured questions and aids were used to capture all medications taken as well as reasons they were taken. Total counts of all medications taken including number in each category and class were captured. Additionally, reasons the medications were taken were recorded. Trends in medications taken across pregnancy and in the first trimester were determined. RESULTS: Of the 9,546 study participants, 9,272 (97.1%) women took at least one medication during pregnancy with 9,139 (95.7%) taking a medication in the first trimester. Polypharmacy, defined as taking at least five medications, occurred in 2,915 (30.5%) women. Excluding vitamins, supplements, and vaccines, 73.4% of women took a medication during pregnancy with 55.1% taking one in the first trimester. The categories of drugs taken in pregnancy and in the first trimester include the following: gastrointestinal or antiemetic agents (34.3%, 19.5%), antibiotics (25.5%, 12.6%), and analgesics (23.7%, 15.6%, which includes 3.6%; 1.4% taking an opioid pain medication). CONCLUSION: In this geographically and ethnically diverse cohort of nulliparous pregnant women, medication use was nearly universal and polypharmacy was common

Psychotropic medication use among children in the child welfare system

Prior research demonstrates that children in the child welfare system are given psychotropic medication at rates approximately three times higher than children and adolescents in the general population. Using data from the second National Survey of Child and Adolescent Well-Being, authors Wendy Walsh and Marybeth Mattingly report that among children age 4 and older with a report of maltreatment, rates of psychotropic medication use are significantly higher in rural (20 percent) than urban areas (13 percent). Children age 4 and older with a maltreatment report in rural areas were significantly more likely to take more than one medication than children in urban areas. The significantly higher rates of psychotropic medication use among children in rural areas and the significantly higher rates of taking multiple medications point to the need among child welfare professionals in rural areas to closely monitor use. The results of the current analysis indicate that more information is needed about the complex decision-making process regarding medication use. This includes a need to better understand how pediatric clinicians make decisions, and the impact of community norms on medication use

Older people and medication taking behaviour: A review of the literature

Background: Older people represent a sizeable population of the UK. Many older people receive drug treatment for long term conditions. Adherence with medication is therefore an important clinical, financial and resource intensive concern. Objectives: This review aimed to examine patient’s beliefs, perceptions and views in relation to adherence with medication. Design: A comprehensive search of the literature was undertaken using numerous approaches. The search of revealed 30 research papers. Findings: Articles were initially evaluated using Critical Appraisal Skills Programme principles to identify those relevant to the review. Relevant studies were then subjected to a narrative analysis to assist the development of relevant themes. Four themes were identified; experience of adherence; perceptions and attitudes to medication adherence and non-adherence; patients acceptance of their illness and impact on medication taking behaviour and shared decision making. Conclusions: The findings of this review imply that there is a need for more emphasis on shared decision making between the older patient and the prescriber. Using this approach adherence with medication may improve. There is also a need to develop a standardized measure of medication adherence

Lithium Prescribing during Pregnancy: A UK Primary Care Database Study

Women taking lithium must decide whether to continue the medication if they conceive or plan to conceive. Little is known about the extent of prescribing of lithium during pregnancy

Reducing Benzodiazepine Use for the Treatment of Insomnia and Supporting Nonpharmacological Therapies

Most medical organizations recommend against the use of benzodiazepine use for the treatment of insomnia, especially in the elderly. However, the percentage of the adult population on benzos increase with age: 7.5% in adults ages 51-64; 9% in adults over 65. Alternative therapies for insomnia, including online CBT, require more commitment than taking a medication so many patients opt for medication. This project aims to increase awareness of benzodiazepine use for insomnia and provide support for nonpharmacological therapies.https://scholarworks.uvm.edu/fmclerk/1380/thumbnail.jp

Design of MARQUIS2: study protocol for a mentored implementation study of an evidence-based toolkit to improve patient safety through medication reconciliation.

BackgroundThe first Multi-center Medication Reconciliation Quality Improvement Study (MARQUIS1) demonstrated that implementation of a medication reconciliation best practices toolkit decreased total unintentional medication discrepancies in five hospitals. We sought to implement the MARQUIS toolkit in more diverse hospitals, incorporating lessons learned from MARQUIS1.MethodsMARQUIS2 is a pragmatic, mentored implementation QI study which collected clinical and implementation outcomes. Sites implemented a revised toolkit, which included interventions from these domains: 1) best possible medication history (BPMH)-taking; 2) discharge medication reconciliation and patient/caregiver counseling; 3) identifying and defining clinician roles and responsibilities; 4) risk stratification; 5) health information technology improvements; 6) improved access to medication sources; 7) identification and correction of real-time discrepancies; and, 8) stakeholder engagement. Eight hospitalists mentored the sites via one site visit and monthly phone calls over the 18-month intervention period. Each site's local QI team assessed opportunities to improve, implemented at least one of the 17 toolkit components, and accessed a variety of resources (e.g. implementation manual, webinars, and workshops). Outcomes to be assessed will include unintentional medication discrepancies per patient.DiscussionA mentored multi-center medication reconciliation QI initiative using a best practices toolkit was successfully implemented across 18 medical centers. The 18 participating sites varied in size, teaching status, location, and electronic health record (EHR) platform. We introduce barriers to implementation and lessons learned from MARQUIS1, such as the importance of utilizing dedicated, trained medication history takers, simple EHR solutions, clarifying roles and responsibilities, and the input of patients and families when improving medication reconciliation