Comparison of methods to assess psychiatric medication adherence in methadone-maintained patients with co-occurring psychiatric disorder

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.

Concordance of Adherence Measurement Using Self-Reported Adherence Questionnaires and Medication Monitoring Devices: An Updated Review

INTRODUCTION

As medication adherence continues to be a prevalent issue in today's society, the methods used to monitor medication-taking behaviors are constantly being re-evaluated and compared in search of the 'gold standard' measure. Our review aimed to assess the current literature surrounding the correlation between self-reported questionnaires (SRQs) and electronic monitoring devices to determine if these measures produce similar results.

METHODS

We performed a literature search from 2009 to 2017 using PubMed, PubMed In-Process and Non-Indexed, EMBASE, Ovid MEDLINE, and Ovid MEDLINE In-Process. A keyword search using the terms 'patient compliance', 'treatment compliance', 'medication adherence', 'drug monitoring', 'drug therapy', 'electronic', 'digital', 'computer', 'monitor', 'monitoring', 'drug', 'pharmaceutical preparations', 'compliance', and 'medications' was done to capture all articles. We included articles measuring adherence using both monitoring devices and SRQs.

RESULTS

Thirty-five articles were included in this review. The average difference in measured adherence rates between the two measures was 9.2% (range -66.3 to 61.5). A majority (62.7%) of articles reported moderate (n = 12; 27.9%), high (n = 5, 11.6%), or significant (n = 10, 23.3%) correlations between SRQs and monitoring devices.

CONCLUSION

Results from our review are consistent with previous studies, as we found that many of our studies produced moderate to high correlation between both SRQs and monitoring devices [Farmer, Clin Ther 21(6):1074-90 (1999), IMS Institute for Healthcare Informatics. Avoidable costs in US health care (2012), Patel et al., Respirology 18(3):546-52 (2013), Siracusa et al., J Cyst Fibros 14(5):621-6 (2015), Smith et al., Int J Cardiol 145(1):122-3 (2010)]. Our findings demonstrate that self-reported adherence produces comparable results to electronic monitoring devices. As there is not yet a 'gold standard' measure for monitoring patient adherence, SRQs and Medication Event Monitoring Systems (MEMS) operating together continue to emerge as the preferred effective method for measuring medication adherence.

Self-management research of asthma and good drug use (SMARAGD study): a pilot trial

Background Community pharmacists play an important role in supporting patients for optimal drug use. Objective To assess the effectiveness of monitoring in asthma patients with inhaled corticosteroids (ICS) on disease control. Setting Asthma patients using ICS were invited from two intervention (IG) and two control pharmacies (CG). Method Participating patients completed questionnaires at the study start and at 6-month follow-up, including the Control of Allergic Rhinitis and Asthma Test (CARAT) questionnaire. IG patients completed the CARAT questionnaire every 2 weeks and received counselling on disease management, ICS adherence, and inhalation technique when scores were suboptimal, deteriorating, or absent. For Turbuhaler users, additional electronic monitoring (EMI) was available, with daily alerts for ICS intake. Main outcome measure As the primary outcome, CARAT scores at follow-up were compared between IG and CG using linear regression. As secondary outcome, refill adherence was compared using logistic regression. Results From March to July 2015, we enrolled 39 IG and 41 CG patients. At follow-up, CARAT scores did not differ between IG and CG (−0.19; 95% confidence interval [CI], −2.57 to 2.20), neither did patient numbers with ICS adherence >80% (0.82; 95% CI, 0.28–2.37). Among EMI users, CARAT scores did not differ, but ICS adherence >80% showed a 4.52-fold increase (95% CI, 1.56–13.1) compared with EMI nonusers. Conclusion Among community-dwelling asthma patients, pharmacist monitoring did not affect CARAT scores, but EMI use showed improved ICS refill adherence.

Lower rates of consistent urine drug tests for prescribed psychotropic medications among patients on opioid replacement therapy

BACKGROUND

Patients on opioid replacement therapy (ORT) to treat opioid use disorder are frequently monitored for these medications, but it is not known if they are also adhering to their psychotropic medications. This is an analysis of measure of potential adherence to psychotropic medications by patients on ORT.

METHODS

This is a retrospective cohort study of patients (n=1470) on antidepressants and/or antipsychotics and tested by the Millennium Health laboratory. Potential adherence to psychotropic medications was measured by urine drug test (UDT) results. The consistency of UDT for expected psychotropic medication in patients on ORT was compared to patients not on ORT (control group) during 3-months period. The study used propensity score methods to match individuals from both groups on their demographics and their psychotropic medication.

RESULTS

There were 457 participants (31.09%) on ORT and 1013 participants (68.91%) in the control group. Only 55.33% of UDTs (n=1388) were consistent for expected psychotropic medications in the ORT group compared to 73.69% of UDTs (n=4953) consistent for expected psychotropic medications in the control group (χ²=172.99, p<0.001). After matching, patients in the ORT group were less likely than the control group to have consistent UDTs for expected psychotropic medications (OR: 0.81, 95% CI: 0.76-0.85, P<0.001).

CONCLUSION

There is a high rate of inconsistent UDT for prescribed psychotropic medication among patients on ORT. This could reflect potential poor adherence. Monitoring adherence to psychotropic medications should be part of every clinical visit for patients on ORT.

Addressing low health literacy with "Talking Pill Bottles": A pilot study in a community pharmacy setting

OBJECTIVES

To test the effect of "Talking Pill Bottles" on medication self-efficacy, knowledge, adherence, and blood pressure readings among hypertensive patients with low health literacy and to assess patients' acceptance of this innovation.

DESIGN

Longitudinal nonblinded randomized trial with standard treatment and intervention arms.

SETTING AND PARTICIPANTS

Two community pharmacies serving an ethnically diverse population in the Pacific Northwest. Participants were consented patients with antihypertension prescriptions who screened positive for low health literacy based on the Test of Functional Health Literacy Short Form. Participants in the intervention arm received antihypertensive medications and recordings of pharmacists' counseling in Talking Pill Bottles at baseline. Control arm participants received antihypertensive medications and usual care instructions.

MAIN OUTCOME MEASURES

Comparison and score changes between baseline and day 90 for medication knowledge test, Self-Efficacy for Appropriate Medication Use Scale (SEAMS), Morisky Medication Adherence Scale (MMAS-8), blood pressure, and responses to semistructured exit interviews and Technology Acceptance Model surveys.

RESULTS

Of 871 patients screened for health literacy, 134 eligible participants were enrolled in the trial. The sample was elderly, ethnically diverse, of low income, and experienced regarding hypertension and medication history. In both arms, we found high baseline scores in medication knowledge test, SEAMS, and MMAS-8 and minimal changes in these measures over the 90-day study period. Blood pressure decreased significantly in the intervention arm. Acceptability scores for the Talking Pill Bottle technology were high.

CONCLUSION

Our results suggest that providing audio-assisted medication instructions in Talking Pill Bottles positively affected blood pressure control and was well accepted by patients with low health literacy. Further research involving newly diagnosed patients is needed to mitigate possible ceiling effects that we observed in an experienced population.