A randomized controlled trial with a Canadian electronic pill dispenser used to measure and improve medication adherence in patients with schizophrenia

Relationships between neuropsychological performance, insight, medication adherence, and social metacognition in schizophrenia

BACKGROUND

Social metacognition is still poorly understood in schizophrenia, particularly its neuropsychological basis and its impact on insight and medication adherence. We therefore quantified social metacognition as the agreement between objective and subjective mentalization and assessed its correlates in a sample of individuals with schizophrenia spectrum disorders.

METHODS

Participants consisted of 143 patients with schizophrenia or schizoaffective disorders who underwent a metacognitive version of a mentalization task, an extensive neuropsychological battery, and a clinical evaluation to assess their insight into illness and medication adherence. We studied potential interactions between confidence judgments and several neuropsychological and clinical variables on mentalization accuracy with mixed-effects multiple logistic regressions.

RESULTS

Confidence judgments were closely associated with mentalization accuracy, indicative of good social metacognition in this task. Working memory, visual memory, and reasoning and problem-solving were the three neuropsychological dimensions positively associated with metacognition. By contrast, the two measures of medication adherence were associated with poorer metacognition, whereas no association was found between metacognition and clinical insight. The multiple regression model showed a significant positive impact of better working memory, older age at onset, longer duration of hospitalization, and worse medication adherence on social metacognition.

CONCLUSIONS

We discuss possible mechanisms underlying the apparent association between social metacognition and working memory. Adherence should be monitored when remediating social metacognition, and psychoeducation should be given to patients with a high level of awareness of their capacity to mentalize.

Pharmacist-led interventions for people living with severe and persistent mental illness: A systematic review

OBJECTIVE

People living with severe and persistent mental illness experience poorer physical health, often due to medication and preventable lifestyle factors, and exacerbated by barriers to accessing healthcare services. Pharmacists are well-positioned to improve the physical and mental health of this population. However, little is known about pharmacists' current practices when providing services to this population nor the impact of pharmacist-led interventions on consumer health outcomes. We undertook a systematic review to identify, describe and assess the effectiveness of pharmacist-led interventions for supporting people living with severe and persistent mental illness and the impact on consumer outcomes.

METHODS

MEDLINE, Embase, PsycINFO, CINAHL, Web of Science, Scopus, Cochrane Library, International Pharmaceutical Abstracts and ProQuest Dissertations and Theses were searched between January 1990 and April 2020. Full-text studies exploring pharmacist-led interventions in any setting for people living with severe and persistent mental illness were included. A risk of bias assessment was conducted.

RESULTS

A total of 37 studies were included. More than half of the pharmacist interventions were multifaceted. The most common components of pharmacist-led interventions included education and/or patient counselling, providing recommendations to healthcare professionals and conducting medication reviews. Multifaceted interventions demonstrated improvements in clinical outcomes, whereas single interventions focused mostly on consumer-reported outcomes. The methodological quality of included studies was moderate-to-high risk of bias and there was considerable heterogeneity in the study design, interventions described, and outcomes reported.

CONCLUSION

There is evidence that pharmacist-led interventions improve consumer-reported and clinical outcomes for people living with severe and persistent mental illness. Pharmacists are capable and have a role in supporting people living with severe and persistent mental illness, either individually or as interprofessional collaborators with other healthcare professionals. Future research should attempt to better understand which particular intervention components have the greatest impact and also evaluate the implementation and long-term sustainability of such interventions.

Strategies and Tools for Supporting the Appropriateness of Drug Use in Older People

Through this structured review of the published literature, we aimed to provide an up-to-date description of strategies (human-related) and tools (mainly from the digital field) facilitating the appropriateness of drug use in older adults. The evidence of each strategy and tool’s effectiveness and sustainability largely derives from local and heterogeneous experiences, with contrasting results. As a general framework, three main steps should be considered in implementing measures to improve appropriateness: prescription, acceptance by the patient, and continuous monitoring of adherence and risk-benefit profile. Each step needs efforts from specific actors (physicians, patients, caregivers, healthcare professionals) and dedicated supporting tools. Moreover, how to support the appropriateness also strictly depends on the particular setting of care (hospital, ambulatory or primary care, nursing home, long-term care) and available economic resources. Therefore, it is urgent assigning to each approach proposed in the literature the following characteristics: level of effectiveness, strength of evidence, setting of implementation, needed resources, and issues for its sustainability.

A review of features and characteristics of smart medication adherence products

Background

Smart medication adherence products (smart MAPs) capture and transmit real-time medication intake by using various means of connectivity, allowing for remote monitoring. Numerous such products with different features are available to address medication nonadherence. A comparison of the features of these products is needed for clinical decision-making. Therefore, the objective of this review was to compare smart MAPs available for in-home use.

Methods

We searched grey and published literature and videos to identify smart MAPs. To be considered smart, products required 2 features: connectivity (the ability for collected data to exist outside the physical device) and automaticity (the ability for data to be analyzed or processed automatically). Products were excluded if product descriptions were not available in English, not for in-home use and unable to dispense medications.

Results

Of the 51 products identified, 38 commercially available and 13 prototypes met the definition. Of these, 75% (n = 38) contained alarms, 24% (n = 12) were unit-dose, 63% (n = 32) were multidose, 43% (n = 22) had locking features, 41% (n = 21) were portable and 88% (n = 45) sent notifications to patients. The cost of marketed products, excluding subscriptions, ranged from $10 to $1500 USD. Some products required a monthly (n = 16) or yearly (n = 1) subscription ranging from $10 to $100 USD.

Discussion

There is a growing market of smart MAPs for in-home patient use with variable features. Clinicians can use these features to identify and recommend products according to the specific needs of their patients to address medication adherence. Can Pharm J (Ott) 2021;154:xx-xx.

Ingestible Sensors and Medication Adherence: Focus on Use in Serious Mental Illness

Background: Poor medication adherence is a major public health concern. Patients living with a serious mental illness (SMI) commonly present with non-adherence to their medication regimen, which can lead to relapse and hospitalizations. The high rates of antipsychotic non-adherence continue to persist despite several interventions and medication advances. This review evaluates the possible role of the ingestible sensor technology for medication adherence in different conditions, with a focus on use in the SMI schizophrenia. Methods: Literature searches were conducted in July 2019 in the PubMed database. Results: In small studies of ingestible sensor use, the average adherence ranged from 73.9% to 88.6% for SMI and ≥ 80% for cardiac and transplant (99.4%) patients. In SMI studies, patients were clinically stable, and the majority had a clinical global impression severity of “mild disease”. Patients generally experienced relatively minor dermatological adverse effects related to wearable sensor use. Conclusions: A medication with an ingestible sensor may help provide real-time objective medication-taking adherence information for clinicians. However, further studies are needed to understand the impact of use on adherence and improvement on treatment outcomes with the ingestible sensor technology.

Adherence to Oral Antipsychotics Measured by Electronic Adherence Monitoring in Schizophrenia: A Systematic Review and Meta-analysis

BACKGROUND

Poor adherence to oral antipsychotics is common in patients with schizophrenia; nonetheless, there has been no systematic review or meta-analysis on medication adherence measured by electronic adherence monitoring (EAM), considered by many as the 'gold standard' assessment.

METHODS

We systematically searched MEDLINE and Embase to identify studies investigating adherence to oral antipsychotics using EAM in patients with schizophrenia spectrum disorder. There were no exclusion criteria. We looked at the methodology in each study and defined which type of adherence was used in the study. Data on medication adherence, definition of satisfactory adherence (i.e., the threshold set in terms of the percentage of times medication was taken as prescribed), and factors associated with adherence were extracted for the included studies. Further, data on the rates of medication adherence were quantitatively synthesized.

RESULTS

A total of 19 studies involving 2184 patients were included. EAM-measured medication adherence was classified into three outcome types: taking adherence, regimen adherence, and timing adherence. The meta-analysis yielded oral antipsychotic adherence rates (defined as a continuous variable) of 71.1% for taking adherence [from seven studies, n = 256, 95% confidence interval (CI) 58.0-84.1], 70.0% for regimen adherence (from five studies, n = 174, 95% CI = 63.6-76.4), and 64.9% for timing adherence (from four studies, n = 212, 95% CI 53.2-76.6), respectively. The proportions of patients with oral antipsychotic adherence, when defined as a dichotomous variable, ranged from 50 to 78.3% for the 70% threshold for satisfactory adherence, 29.8-75.7% for the 75% threshold, and 47.8-75.7% for the 80% threshold. Factors associated with poor medication adherence were greater symptom severity, more frequent dosing regimen, poorer insight, and more negative drug attitude.

CONCLUSIONS

Oral antipsychotic adherence rates in schizophrenia, defined as a continuous variable and measured by EAM, were in the range of 70%, lower than the 80% threshold used widely to define satisfactory adherence.

A community pharmacy-led intervention for opioid medication misuse: A small-scale randomized clinical trial

BACKGROUND

Stemming the opioid epidemic requires testing novel interventions. Toward this goal, feasibility and acceptability of a Brief Motivational Intervention-Medication Therapy Management (BMI-MTM) intervention was examined along with its impact on medication misuse and concomitant health conditions.

METHODS

We conducted a two-group randomized trial in 2 community pharmacies. We screened patients for prescription opioid misuse at point-of-service using the Prescription Opioid Misuse Index. Participants were assigned to standard medication counseling (SMC) or SMC + BMI-MTM (referred to as BMI-MTM herein). BMI-MTM consists of a pharmacist-led medication counseling/brief motivational session and 8-weekly patient navigation sessions. Assessments were at baseline, 2-, and 3-months. Primary outcomes included feasibility, acceptability, and mitigation of opioid medication misuse. Secondary outcomes included pain and depression. Outcomes were analyzed with descriptive and multivariable statistics (intent-to-treat [ITT] and adjusted for number of sessions completed [NUMSESS]).

RESULTS

Thirty-two participants provided informed consent (74.4% consent rate; SMC n = 17, BMI-MTM n = 15; 3-month assessment retention ≥93%). Feasibility was demonstrated by all BMI-MTM recipients completing the pharmacist session and an average of 7 navigation sessions. BMI-MTM recipients indicated ≥4.2 (5 maximum) level of satisfaction with the pharmacist-led session, and 92.4% were satisfied with navigation sessions. Compared to SMC at 3-months, BMI-MTM recipients reported greater improvements in misuse (ITT: Adjusted Odds Ratio [AOR] = 0.13; 95% CI = 0.05, 0.35, p < 0.001.

NUMSESS

AOR = 0.05; 95% CI = 0.01, 0.25; p < 0.001), pain (ITT: В = 8.8, 95% CI=-0.95, 18.5, p = 0.08; NUMSESS: В = 14.0, 95% CI = 3.28, 24.8, p = 0.01), and depression (ITT: B= -0.44; 95% CI=-0.65, -0.22; p < 0.001.

NUMSESS

B= -0.64; 95% CI=-0.82, -0.46; p < 0.001).

CONCLUSIONS

BMI-MTM is a feasible misuse intervention associated with superior satisfaction and outcomes than SMC. Future research should test BMI-MTM in a large-scale, fully-powered trial.

Enhanced Adherence in Patients Using an Automated Home Medication Dispenser

BACKGROUND

Many factors contribute to medication nonadherence including psychological and memory disorders, aging, and pill burden. The Automated Home Medication Dispenser (AHMD) is a medication management system intended to help solve unintentional medication nonadherence.

OBJECTIVE

The purpose of this study was to determine if use of the AHMD improved medication adherence.

METHODS

We conducted a 6-month prospective, feasibility study assessing use of the AHMD in 21 patient-caregiver dyads. Patients were referred by their physician because of poor medication adherence and included if they resided in Rochester, NY and on at least two medications in pill form. Pill counts were performed at baseline to assess previous adherence. Prospective medication adherence was assessed using AHMD recorded dosing information. A paired t-test was used to compare previous and prospective adherence.

RESULTS

The mean age of patients was 75.1 years. Fifteen patients (71.4%) and eight caregivers (38.1%) were women; half (47.6%) of caregivers lived with the patient. The most common patient comorbidities were hypertension (76.2%) and memory disorder (61.9%). Mean adherence increased from 49.0% at baseline to 96.8% after 6 months of AHMD use (p < .001).

CONCLUSION

In a cohort of unintentionally nonadherent patients, use of the AHMD for 6 months significantly improved medication adherence.

Technological Interventions for Medication Adherence in Adult Mental Health and Substance Use Disorders: A Systematic Review

BACKGROUND

Medication adherence is critical to the effectiveness of psychopharmacologic therapy. Psychiatric disorders present special adherence considerations, notably an altered capacity for decision making and the increased street value of controlled substances. A wide range of interventions designed to improve adherence in mental health and substance use disorders have been studied; recently, many have incorporated information technology (eg, mobile phone apps, electronic pill dispensers, and telehealth). Many intervention components have been studied across different disorders. Furthermore, many interventions incorporate multiple components, making it difficult to evaluate the effect of individual components in isolation.

OBJECTIVE

The aim of this study was to conduct a systematic scoping review to develop a literature-driven, transdiagnostic taxonomic framework of technology-based medication adherence intervention and measurement components used in mental health and substance use disorders.

METHODS

This review was conducted based on a published protocol (PROSPERO: CRD42018067902) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses systematic review guidelines. We searched 7 electronic databases: MEDLINE, EMBASE, PsycINFO, the Cochrane Central Register of Controlled Trials, Web of Science, Engineering Village, and ClinicalTrials.gov from January 2000 to September 2018. Overall, 2 reviewers independently conducted title and abstract screens, full-text screens, and data extraction. We included all studies that evaluate populations or individuals with a mental health or substance use disorder and contain at least 1 technology-delivered component (eg, website, mobile phone app, biosensor, or algorithm) designed to improve medication adherence or the measurement thereof. Given the wide variety of studied interventions, populations, and outcomes, we did not conduct a risk of bias assessment or quantitative meta-analysis. We developed a taxonomic framework for intervention classification and applied it to multicomponent interventions across mental health disorders.

RESULTS

The initial search identified 21,749 results; after screening, 127 included studies remained (Cohen kappa: 0.8, 95% CI 0.72-0.87). Major intervention component categories include reminders, support messages, social support engagement, care team contact capabilities, data feedback, psychoeducation, adherence-based psychotherapy, remote care delivery, secure medication storage, and contingency management. Adherence measurement components include self-reports, remote direct visualization, fully automated computer vision algorithms, biosensors, smart pill bottles, ingestible sensors, pill counts, and utilization measures. Intervention modalities include short messaging service, mobile phone apps, websites, and interactive voice response. We provide graphical representations of intervention component categories and an element-wise breakdown of multicomponent interventions.

CONCLUSIONS

Many technology-based medication adherence and monitoring interventions have been studied across psychiatric disease contexts. Interventions that are useful in one psychiatric disorder may be useful in other disorders, and further research is necessary to elucidate the specific effects of individual intervention components. Our framework is directly developed from the substance use disorder and mental health treatment literature and allows for transdiagnostic comparisons and an organized conceptual mapping of interventions.

Older women who died by suicide: suicide means, sociodemographic and psychiatric risk factors, and other precipitating circumstances

ABSTRACTBackground:US suicide rates among older women have substantially increased over the past decade. We examined potential differences in sociodemographic and risk/precipitating factors among older female suicide decedents who died by drug overdose versus firearms, hanging/suffocation, and other means, and postmortem toxicology results by suicide means.

METHODS

Data are from the 2005 to 2015 US National Violent Death Reporting System (N = 12,401 female decedents aged 50 years and over). We used three logistic regression models, with overdose versus firearms, overdose versus hanging/suffocation, and overdose versus "other" means as the dependent variables, to examine associations between suicide means and sociodemographic and risk/precipitating factors. χ2 tests were used to examine positive toxicology of prescription and illicit drugs by suicide means.

RESULTS

Compared to firearm users, overdose users were younger and had higher odds of having had previous suicide attempts/intent disclosures, mental disorders (e.g. depression/dysthymia: AOR = 1.18, 95% CI = 1.05-1.34), and substance abuse other than alcohol, but lower odds of having had relationship problems and any crisis. Compared to hanging/suffocation, overdose declined (AOR = 0.95, 95% CI = 0.93-0.97) during the study period and was less prevalent among Hispanic and Asian women and those with job/finance/housing problems. Toxicology reports showed that 47%, 43%, and 45% of overdose users were antidepressant, opiate, and benzodiazepine positive, respectively. Firearm users had the lowest rates of positive toxicology results for these drugs.

CONCLUSIONS

Suicide prevention should include limiting access to large quantities of prescription medications and firearms for those at risk of suicide. More effective mental health/substance abuse treatment and chronic illness management support are also needed.

Providing physicians with feedback on medication adherence for people with chronic diseases taking long-term medication

BACKGROUND

Poor medication adherence decreases treatment efficacy and worsens clinical outcomes, but average rates of adherence to long-term pharmacological treatments for chronic illnesses are only about 50%. Interventions for improving medication adherence largely focus on patients rather than on physicians; however, the strategies shown to be effective are complex and difficult to implement in clinical practice. There is a need for new care models addressing the problem of medication adherence, integrating this problem into the patient care process. Physicians tend to overestimate how well patients take their medication as prescribed. This can lead to missed opportunities to change medications, solve adverse effects, or propose the use of reminders in order to improve patients' adherence. Thus, providing physicians with feedback on medication adherence has the potential to prompt changes that improve their patients' adherence to prescribed medications.

OBJECTIVES

To assess the effects of providing physicians with feedback about their patients' medication adherence for improving adherence. We also assessed the effects of the intervention on patient outcomes, health resource use, and processes of care.

SEARCH METHODS

We conducted a systematic search of the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, and Embase, all from database inception to December 2016 and without any language restriction. We also searched ISI Web of Science, two trials registers, and grey literature.

SELECTION CRITERIA

We included randomised trials, controlled before-after studies, and interrupted time series studies that compared the effects of providing feedback to physicians about their patients' adherence to prescribed long-term medications for chronic diseases versus usual care. We included published or unpublished studies in any language. Participants included any physician and any patient prescribed with long-term medication for chronic disease. We included interventions providing the prescribing physician with information about patient adherence to medication. Only studies in which feedback to the physician was the sole intervention or the essential component of a multifaceted intervention were eligible. In the comparison groups, the physicians should not have had access to information about their patients' adherence to medication. We considered the following outcomes: medication adherence, patient outcomes, health resource use, processes of care, and adverse events.

DATA COLLECTION AND ANALYSIS

Two independent review authors extracted and analysed all data using standard methodological procedures expected by Cochrane and the Effective Practice and Organisation of Care group. Due to heterogeneity in study methodology, comparison groups, intervention settings, and measurements of outcomes, we did not carry out meta-analysis. We describe the impact of interventions on outcomes in tabular form and make a qualitative assessment of the effects of studies.

MAIN RESULTS

We included nine studies (23,255 patient participants): eight randomised trials and one interrupted time series analysis. The studies took place in primary care and other outpatient settings in the USA and Canada. Seven interventions involved the systematic provision of feedback to physicians concerning all their patients' adherence to medication, and two interventions involved issuing an alert for non-adherent patients only. Seven studies used pharmacy refill data to assess medication adherence, and two used an electronic device or self-reporting. The definition of adherence differed across studies, making comparisons difficult. Eight studies were at high risk of bias, and one study was at unclear risk of bias. The most frequent source of bias was lack of protection against contamination.Providing physicians with feedback may lead to little or no difference in medication adherence (seven studies, 22,924 patients), patient outcomes (two studies, 1292 patients), or health resource use (two studies, 4181 patients). Providing physicians with feedback on medication adherence may improve processes of care (e.g. more medication changes, dialogue with patient, management of uncontrolled hypertension) compared to usual care (four studies, 2780 patients). None of the studies reported an adverse event due to the intervention. The certainty of evidence was low for all outcomes, mainly due to high risk of bias, high heterogeneity across studies, and indirectness of evidence.

AUTHORS' CONCLUSIONS

Across nine studies, we observed little or no evidence that provision of feedback to physicians regarding their patients adherence to prescribed medication improved medication adherence, patient outcomes, or health resource use. Feedback about medication adherence may improve processes of care, but due to the small number of studies assessing this outcome and high risk of bias, we cannot draw firm conclusions on the effect of feedback on this outcome. Future research should use a clear, standardised definition of medication adherence and cluster-randomisation to avoid the risk of contamination.

Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy--first long-term case study

BACKGROUND

Patients with substance use disorders grow older thanks to effective treatments. Together with a high prevalence of comorbidities, psychological problems, and low social support, these patients are at high risk for medication non-adherence. Established treatment facilities face challenges to accommodate these complex patients within their setting. Electronic medication management aids (e-MMAs) might be appropriate to simultaneously monitor and improve adherence for these patients.

CASE PRESENTATION

We report the first long-term experiences with a novel remote electronic medication supply model for two opioid-dependent patients with HIV. John (beginning dementia, 52 years, 6 tablets daily at 12 am) and Mary (frequent drug holidays, 48 years, 5-6 tablets daily at 8 pm) suffered from disease progression due to non-adherence. We electronically monitored adherence and clinical outcomes during 659 (John) and 953 (Mary) days between July 2013 and April 2016. Both patients retrieved over 90% of the pouches within 75 min of the scheduled time. Technical problems occurred in 4% (John) and 7.2% (Mary) of retrievals, but on-site support was seldom required. Viral loads fell below detection limits during the entire observation period.

CONCLUSIONS

Continuous medication supply and persistence with treatment of over 1.7 years, timing adherence of more than 90%, and suppressed HIV viral load are first results supporting the feasibility of the novel supply model for patients on opioid-assisted treatment and polypharmacy.

Medication adherence in patients with schizophrenia

Medication nonadherence is common among patients with schizophrenia and due to a variety of factors including lack of insight, psychopathology, substance use disorder, issues associated with treatment, stigma, fragmentation of care, cultural influences, and socioeconomic status. Among this population, nonadherence is problematic because it can lead to decompensation or exacerbation of symptoms, relapse, rehospitalization or greater use of emergency psychiatric services, functional decline, and increased risk of death. Psychoeducational approaches alone are ineffective, but in combination with behavioral interventions, appear to be effective. Involving the patient's support system, in addition to other interventions, can improve treatment adherence. Many medication-related factors, such as effectiveness and tolerability of antipsychotics, regimen complexity, and past medication trials impact appropriate medication use. Therefore, optimizing the patient's pharmacotherapeutic regimens can improve adherence. Additional factors favorably influencing adherence include involving the patient in their treatment, fostering a therapeutic alliance, implementing/using reminder systems, and addressing substance use disorder. Medication nonadherence arises from multiple reasons that vary between patients. Thus, the most effective strategies to improve adherence are multifactorial and may involve both psychoeducational and behavioral techniques, as well as previously listed approaches. Strategies should be targeted toward the patient and their support system, whenever possible, to further improve the chances of appropriate medication use. Recognizing that all patients with schizophrenia are at risk for medication nonadherence is important. No one technique has been shown to be most effective; therefore, the risk for nonadherence should continually be assessed and multiple strategies should be targeted to the patient (and caregiver) and repeatedly implemented throughout the course of the patient's illness.

A survey of eMedia-delivered interventions for schizophrenia used in randomized controlled trials

BACKGROUND

Randomized trials evaluating electronic Media (eMedia) delivery of interventions are increasingly frequent in mental health. Although a number of reviews have reported efficacy of these interventions, none has reviewed the type of eMedia interventions and quality of their description. We therefore decided to conduct a survey of eMedia-delivered interventions for schizophrenia.

METHODS

We surveyed all relevant trials reliably identified in the Cochrane Schizophrenia Group's comprehensive register of trials by authors working independently. Data were extracted regarding the size of the trial, interventions, outcomes and how well the intervention was described.

RESULTS

eMedia delivery of interventions is increasingly frequent in trials relevant to the care of people with schizophrenia. The trials varied considerably in sample sizes (mean =123, median =87, range =20-507), and interventions were diverse, rarely evaluating the same approaches and were poorly reported. This makes replication impossible. Outcomes in these studies are limited, have not been noted to be chosen by end users and seem unlikely to be easy to apply in routine care. No study reported on potential adverse effects or cost, end users satisfaction or ease of use. None of the papers mentioned the use of CONSORT eHealth guidelines.

CONCLUSION

There is a need to improve reporting and testing of psychosocial interventions delivered by eMedia. New trials should comply with CONSORT eHealth guidance on design, conduct and reporting, and existing CONSORT should be updated regularly, as the field is constantly evolving.

A systematic review of electronic multi-compartment medication devices with reminder systems for improving adherence to self-administered medications

BACKGROUND

Many patients experience difficulties adhering to medication regimes. For people who forget or get confused about medication, there are products to help them such as multi-compartment medication devices (MMDs). Some of these, known as electronic MMDs (eMMDs), use audible and/or visual signals to prompt the patient when to take medication, dispense medications, give instructions to the patient, and contact a caregiver (mobile Internet or text to a carer) as needed.

AIM

To systematically review the literature on the use of eMMDs, to determine what evidence for their effectiveness is available.

METHODS

A comprehensive literature search of 10 databases, plus an Internet search and hand searching was conducted, using the MeSH terms reminder systems/patient compliance/medication adherence. There were no date restrictions. Inclusion criteria were patients in any community setting, in any country and with no restrictions of age, gender, ethnicity or medical condition, using an eMMD. Peer-reviewed quantitative or qualitative studies of any design were included.

RESULTS

Of 805 abstracts identified and 99 full text papers retrieved, six met the inclusion criteria. Five of the studies reported adherence to medication regimes; one reported design factors to improve adherence. Adherence varied by the context of the reminders, the target group and usability of the devices. The studies were small scale and only one was a well conducted randomised controlled trial.

CONCLUSION

Overall methodological quality of the studies was poor. Although positive effects on adherence were reported further, rigorously conducted, studies are needed to inform the use of eMMDs.

Patient views on an electronic dispensing device for prepackaged polypharmacy: a qualitative assessment in an ambulatory setting

OBJECTIVE

To collect opinions on medication management aids (MMAs) in general and on an electronic MMA (e-MMA) dispensing prepackaged polypharmacy in sealed pouches.

STUDY SETTING

The setting involved community-dwelling older adults in Basel, Switzerland, in 2013.

STUDY DESIGN

The study involved 1) a 14-day trial with the e-MMA and 2) a focus group to identify general attributes of MMAs, their applicability to the e-MMA, and possible target groups for the e-MMA.

DATA COLLECTION METHODS

Six participants using long-term polypharmacy and willing to try new technologies completed the 14-day trial and participated in the focus group. Inductive content analysis was performed to extract data.

PRINCIPAL FINDINGS

Participants rated ten of 17 general attributes as clearly applicable to the e-MMA and five as unsuitable. Attributes pertained to three interrelating themes: product design, patient support, and living conditions. Envisaged target groups were patients with time-sensitive medication regimens, patients with dementia, the visually impaired, and several patients living together to prevent accidental intake of the wrong medication.

CONCLUSION

The evaluated e-MMA for prepackaged polypharmacy met the majority of the requirements set for an MMA. Patients' living conditions, such as mobility, remain the key determinants for acceptance of an e-MMA.

The 8-item Morisky Medication Adherence Scale translated in German and validated against objective and subjective polypharmacy adherence measures in cardiovascular patients

RATIONALE, AIMS AND OBJECTIVES

To translate in German the 8-item Morisky Medication Adherence Scale (MMAS-8D). To validate it against objective and subjective measures of adherence in cardiovascular patients with polypharmacy.

METHODS

A standard forward-backward procedure was used to translate the MMAS-8 into German. Validation took place on a convenience sample of ambulatory patients on chronic antiplatelet therapy between June 2010 and June 2011. Objective adherence was obtained from electronically monitored multi-drug punch cards. Internal consistency was assessed using Cronbach's alpha coefficient, construct validity using exploratory factor analyses and correlations between MMAS-8D and related measures. Convergent validity was assessed with a subjective questionnaire about beliefs about medicines (BMQ Specific, two sub-scales).

RESULTS

A total of 70 patients were included (mean age 65.7 ± 9.9 years; 31.4% women). The mean score of the MMAS-8D was 7.5 (SD 0.8; range 4.5-8). Moderate internal consistency (alpha = 0.31) was observed due to multidimensionality of the scale. Factor analysis yielded four components that accounted for 71.7% of the total variance. Convergent validity was supported by significant correlations with BMQ Necessity (r = 0.31, P < 0.01), BMQ Concerns (r = -0.16, P < 0.05) and with electronic adherence reports (U-values 44 and 471, P < 0.05). Platelet aggregation values were within therapeutic range for 80% of the patients. Blood values of the antiplatelet agent within therapeutic range were associated with a higher MMAS-8D score (U-value 125, P < 0.05).

CONCLUSIONS

The German MMAS-8 appears to be a reliable instrument to catch medication adherence in cardiovascular patients. It may be useful in patients with chronic therapy for detecting non-adherence.

Impact of switching to long-acting injectable antipsychotics on health services use in the treatment of schizophrenia

OBJECTIVE

To better understand the treatment patterns, persistence and compliance, resource use, and associated costs, of long-acting injectable antipsychotics (LAI-AP), using the Régie de l'assurance maladie du Québec database.

METHOD

Patients with schizophrenia or schizoaffective disorder who were incident users of an LAI-AP prescribed between January 1, 2008, and March 31, 2012, were selected. Concomitant use of oral APs and treatment persistence and compliance with LAI-AP were analyzed. Patients were considered compliant if they had a medication possession ratio (MPR) of at least 0.80. Health care resource use (HCRU) and associated costs were analyzed during the year before and after LAI-AP initiation.

RESULTS

A total of 1992 patients met the inclusion criteria. The average persistence with LAI-AP was 217.2 days (SD 144.2). The mean MPR with LAI-AP during the postinitiation year was 0.58 (SD 0.35), with 37.5% of patients being compliant. In the preinitiation year, 29.0% of patients were compliant with previous oral AP. In the pre- and postinitiation periods, 1484 and 958 patients had at least 1 hospitalization, and hospitalized days were reduced by one-half (P<0.001). Cost of HCRU, including medication, was significantly decreased from $24,382 (SD $27,234) to $13,090 (SD $16,987), respectively, in the pre- and postinitiation years (P<0.001).

CONCLUSIONS

The initiation of an LAI-AP improved treatment compliance, compared with previous oral APs, resulted in significantly lower HCRU and costs. The primary drivers were the reduction in the occurrence and days of hospitalizations.

Strategies to improve medication adherence in patients with schizophrenia: the role of support services

The purpose of this review is to describe research over the past 10 years on the role of support services in promoting medication adherence in mental health consumers diagnosed with schizophrenia. A literature search was conducted using the terms "medication adherence," "schizophrenia," and "support services," using Medline, PubMed, and CINAHL. Reference lists from published studies were also reviewed to identify additional research studies. Twenty-two articles focused on support-service intervention studies, and these were selected for review. Available support-service interventions include adherence therapy, electronic reminders via text messages and telephones, cognitive-behavioral and motivational strategies, and financial incentives. Support-service intervention strategies need to be tailored to the specific needs of mental health consumers with schizophrenia. More research is needed to investigate effective support services to enhance long-term adherence and adherence to medications for medical illnesses in this population.

Community pharmacists, Internet and social media: an empirical investigation

BACKGROUND

Use of social media and Internet for health information sharing is expanding among patients, physicians, and other health care professionals. Research on professional use of social media by community pharmacists is limited.

OBJECTIVES

1) To determine the extent to which Texas (U.S. state) independent community pharmacists use text messaging, email, Facebook, Twitter, and/or other information technology for professional communication with patients and health care professionals and identify the perceptions of Texas independent community pharmacists toward such usage; 2) to determine the extent to which Texas independent community pharmacists develop and employ their pharmacy websites to provide drug information and patient care services.

METHODS

A 25-item survey with questions addressing the objectives of the study as well as basic demographic questions (gender, age, and type of pharmacy degree) was mailed to a random sample of 1196 independent community pharmacists in Texas in January 2012.

RESULTS

The study response rate was 23.7%, with 284 usable questionnaires returned. The majority of respondents reported that Internet access is available at their pharmacies (98% (278)), and 91% (258) are familiar with the term 'social media'. To communicate with health care professionals, 56% (n = 160) of respondents use email, 34% (n = 97) use text messages and 5% (n = 14) use Facebook. To communicate with patients, 36% (n = 102) of respondents use email, 30% (n = 86) use text messages and 7% (n = 19) use Facebook. The perceptions of pharmacists who communicate with patients using electronic tools about information related to drug therapy once a month or more frequently were more positive than those of pharmacists who never or hardly ever communicate with patients via electronic tools about drug therapy (P < 0.05). Over 50% of independent pharmacists reported maintaining a pharmacy website.

CONCLUSIONS

This study is the first U.S. statewide assessment of the use of electronic communication and social media for professional pharmacist's communications and perceptions toward the use of social media in patient-pharmacist communications among independent community pharmacists in Texas. Future studies conducted in other states as well as nationwide will contribute to a better understanding of the use of electronic communication, Internet, and social media in the daily professional activities of independent community pharmacists.