Electronic pillboxes (MEMS) to assess the relationship between medication adherence and blood pressure control in primary care

Development and acceptance of a new adherence monitoring package to identify non-adherent patients with polypharmacy in primary care: a feasibility study

BACKGROUND

Adherence to pharmacotherapy is crucial to prevent symptom deterioration in chronic diseases. However, non-adherence to chronic treatments is prevalent, especially in polypharmacy. Practical tools to assess adherence to polypharmacy in primary care are missing.

AIMS

We aimed to develop an Adherence Monitoring Package (AMoPac) for general practitioners (GPs) to identify patient non-adherence. We tested the feasibility and acceptance of AMoPac in the primary healthcare setting.

METHODS

AMoPac was developed based on peer-reviewed literature. It consists in (1) electronic monitoring of patients' medication intakes for 4 weeks, (2) receiving feedback on intake behaviour by the pharmacist and (3) generating an adherence report to communicate to the GPs. A feasibility study was conducted with heart failure patients. GPs' acceptance of AMoPac was explored with semistructured interviews. Electronic transmission of the reports into the GP's electronic health record along with laboratory reports stating N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels was analysed.

RESULTS

We developed AMoPac and tested its feasibility with six GPs and seven heart failure patients. GPs were satisfied with the adherence report including the pharmaceutical-clinical recommendations. Integrated transmission of adherence reports to GPs was not feasible due to technical incompatibilities. Mean taking adherence was 86.4%±12.8% and three patients had low correct dosing-days (69%, 38% and 36%, respectively). NT-proBNP ranged from 102 to 8561 pg/mL and four patients had elevated values (>1000 pg/mL).

CONCLUSION

AMoPac is feasible in the primary healthcare setting, excluding the integrated transmission of adherence reports to GPs. The procedure was highly accepted by GPs and patients. AMoPac fills a gap by combining clinical values with adherence data, and therefore, delivers a multifaceted picture of the patient's behaviour. In case of unmet adherence, our tool might facilitate the selection of patient-centred approaches to optimise pharmacological therapies in chronic heart failure patients.

TRIAL REGISTRATION NUMBER

NCT04326101.

Impact of the COVID-19 lockdown on the adherence of stroke patients to direct oral anticoagulants: a secondary analysis from the MAAESTRO study

BACKGROUND

The negative impact of the COVID-19 outbreak on stroke care has been reported, but no data exist on the influence of the lockdown on medication adherence to antithrombotic treatment for stroke prevention. We present a comparison of electronic adherence data of stroke patients treated with direct oral anticoagulants (DOAC) prior to and during the COVID-19 lockdown in spring 2020 in Switzerland.

METHODS

This is a secondary analysis using data from the ongoing MAAESTRO study, in which stroke patients with atrial fibrillation electronically monitor their adherence to DOAC treatment. Eligible patients for this analysis had at least four weeks of adherence data prior to and during the COVID-19 lockdown. Three adherence metrics (taking adherence, timing adherence, drug holidays) were calculated and compared descriptively.

RESULTS

The analysis included eight patients (median age 81.5 years, IQR 74.8-84.5). Five patients had a pre-lockdown taking adherence over 90% (mean 96.8% ± 2.9), with no change during lockdown, high timing adherence in both periods and no drug holidays. The remaining three patients had pre-lockdown taking and timing adherence below 90%. Of those, two patients showed a moderate decline either in taking or timing adherence compared to pre-lockdown. One showed a substantial increase in taking and timing adherence during lockdown (both + 25.8%).

CONCLUSION

Our data suggest that a major disruption of social life (i.e., the imposed COVID-19 lockdown) is unlikely to relevantly affect the medication intake behaviour of patients with high pre-established adherence, but might have an impact in patients with previously suboptimal adherence.

TRIAL REGISTRATION NUMBER

MAAESTRO: electronic Monitoring and improvement of Adherence to direct oral Anticoagulant treatment-a randomized crossover study of an Educational and reminder-based intervention in ischaemic STROke patients under polypharmacy, NCT03344146.

Insights Into Direct Oral Anticoagulant Therapy Implementation of Stroke Survivors with Atrial Fibrillation in an Ambulatory Setting

OBJECTIVES

To describe how stroke survivors with atrial fibrillation implement direct oral anticoagulant treatment and propose appropriate metrics to describe adherence.

MATERIALS AND METHODS

Stroke patients with atrial fibrillation electronically recorded their self-administered direct oral anticoagulants (apixaban, dabigatran, edoxaban, rivaroxaban) during a 6-month observation phase after hospitalisation for ischemic stroke. Taking and timing adherence, correct dosing days, drug holidays, time of the day and day of the week subsets, dose-to-dose intervals and longest intervals between two consecutive doses were calculated from electronic monitoring data to describe and discuss the implementation phase of adherence.

RESULTS

Data from 41 patients were analysed. Median age was 77 (IQR = 69-84), 63.4% were male and the majority suffered a mild stroke (median NIHSS: 1). Mean taking and timing adherence exceeded 90%. Correct dosing occurred in 86.6% of the days. Seven patients (17.1%) had intake pauses of three or more consecutive days. Patients with twice-daily regimen (70.7%) had higher taking adherence in the morning than in the evening (94.4% versus 89.9%; p = 0.001). No therapy- or anamneses-related characteristic was associated with taking adherence.

CONCLUSIONS

Although adherence to direct oral anticoagulants of stroke patients with atrial fibrillation exceeded 90%, deviant intake patterns such as drug holidays and missed evening doses were common and raise concerns. Appropriate adherence metrics calculated from electronic monitoring data may guide healthcare professionals elucidating patient-tailored adherence-enhancing interventions. ClinicalTrials.gov registration number: NCT03344146.

Mobile Apps for Increasing Treatment Adherence: Systematic Review

BACKGROUND

It is estimated that 20% to 50% of patients do not take their medication correctly, and this leads to increased morbidity and inefficacy of therapeutic approaches. Fostering treatment adherence is a priority objective for all health systems. The growth of mobile apps to facilitate therapeutic adherence has significantly increased in recent years. However, the effectiveness of the apps for this purpose has not been evaluated.

OBJECTIVE

This study aimed to analyze whether mobile apps are perceived as useful for managing medication at home and if they actually contribute to increasing treatment adherence in patients.

METHODS

We carried out a systematic review of research published using Scopus, Cochrane Library, ProQuest, and MEDLINE databases and analyzed the information about their contribution to increasing therapeutic adherence and the perceived usefulness of mobile apps. This review examined studies published between 2000 and 2017.

RESULTS

Overall, 11 studies fulfilled the inclusion criteria. The sample sizes of these studies varied between 16 and 99 participants. In addition, 7 studies confirmed that the mobile app increased treatment adherence. In 5 of them, the before and after adherence measures suggested significant statistical improvements, when comparing self-reported adherence and missed dose with a percentage increase ranging between 7% and 40%. The users found mobile apps easy to use and useful for managing their medication. The patients were mostly satisfied with their use, with an average score of 8.1 out of 10.

CONCLUSIONS

The use of mobile apps helps increase treatment adherence, and they are an appropriate method for managing medication at home.

Evaluation of a one-dose package medication support system for community-based elderly patients and eldercare facilities

PURPOSE

Results of an evaluation of a one-dose package medication support system (ODP-MSS) for medication support and telecare home monitoring of elderly persons are reported.

METHODS

ODP-MSS units were provided to 10 elderly patients living at home, with adherence assistance provided by family members or other medication supporters in response to telephone alerts. In addition, ODP-MSS units were installed in 2 group homes. At the end of the designated study periods, device data logs were analyzed, and study participants were interviewed or surveyed regarding the impact of ODP-MSS use.

RESULTS

Overall, 2 patients were reported to have missed medication doses due to forgetfulness; in both cases, alerted medication supporters called the patients and reminded them to take their medicine. Five home-dwelling patients and 5 supporters reported that the ODP-MSS provided useful reminders; 4 patients and 7 supporters indicated that calls to supporters were useful as a telecare home monitoring system. Eleven group home staff members reported that the ODP-MSS was useful in reducing medication errors and the need for medication assistance.

CONCLUSION

An ODP device plus follow-up calls from a medication supporter helped prevent missed doses resulting from patients' forgetfulness and may serve as a useful component of telecare home monitoring for elderly people living independently at home. The ODP device was also useful for reducing the burdens associated with medication support and medication errors on staff members of group homes for elderly patients with dementia.

What does the literature say about using electronic pillboxes for older adults? A systematic literature review

Purpose: The purpose of this study is to answer two research questions: (1) What is the clinical evidence for the reported outcomes in studies on electronic pillboxes for older adults? and (2) What is the technology readiness level (TRL) of the electronic pillboxes used, or intended to be used, for older adults?Methods: The scholarly literature was systematically searched and analyzed. Articles were included if they reported results about electronic pillboxes that were used or intended to be used for older adults' medication.Results: Clinical studies used commercially well-established electronic pillboxes with a high TRL. New electronic pillboxes in development had a low TRL. The discovered outcome was mainly adherence to medication. The overall mean adherence to medication regimens for all the studies using an electronic pillbox was higher than the gold standard of a good adherence level cut-off point (mean adherence 88.8%>80%). However, we found a large variation in this variable (SD = 10.7). With regard to an older adult population's adherence to medication regimens, for the outcome variable of those who had undergone a kidney transplant, the clinical evidence that electronic pillboxes have a positive impact was strong (1b); for those with a chronic hepatitis C medical condition, the clinical evidence was medium (3), and for those with arterial hypertension and multiple chronic (diabetes and hypertension) medical conditions, the clinical evidence was weak (5).Conclusion: More research is needed in this area using designs that provide greater validity.Implications for RehabilitationElectronic pillboxes with multiple reminders such as the "voice of a friend" or relative, which implies that electronic pillboxes which adopt "a social role" are advisable.An unequal level of clinical evidence that electronic pillboxes have a positive impact on the adherence outcome variable was found.For new electronic pillboxes still in development that specifically take into account older adults' needs, the TRL is still low; as a result, they could not be tested in real settings.

Predicting blood pressure outcomes using single-item physician-administered measures: a retrospective pooled analysis of observational studies in Belgium

BACKGROUND

Patient adherence is often not monitored because existing methods of evaluating adherence are either burdensome or do not accurately predict treatment outcomes.

AIM

To examine whether two simple, single-item physician-administered measures of patient adherence to antihypertensive medication are predictive of blood pressure outcomes.

DESIGN AND SETTING

Retrospective database analysis of patients with hypertension treated in Belgian primary care.

METHOD

Using pooled data from five observational studies, a sample was identified of 9725 patients who were assessed using two single-item physician-administered measures of adherence to antihypertensive medication: the first item of the Basel Assessment of Adherence Scale (BAAS) and the Visual Analogue Scale (VAS). These two assessment tools were administered by GPs during regular appointments with patients. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and combined SBP/DBP were measured at baseline and at 90 days.

RESULTS

BAAS-identified adherent patients achieved lower mean SBP and DBP compared with non-adherent patients at 90 days (P<0.001), and had odds ratios of achieving blood pressure control of 0.66 (95% confidence intervals (CI) = 0.61 to 0.73, P<0.001) for SBP, 0.69 (95% CI = 0.62 to 0.76, P<0.001) for DBP, and 0.65 (95% CI = 0.59 to 0.72, P<0.001) for combined SBP/DBP. For VAS-identified adherent patients, the odds ratios of achieving blood pressure control were 0.93 (95% CI = 0.86 to 1.00, P<0.001) for SBP, 0.79 (95% CI = 0.73 to 0.85, P<0.001) for DBP, and 0.91 (95% CI = 0.84 to 0.99, P<0.001) for combined SBP/DBP.

CONCLUSIONS

The first item of the BAAS and the VAS are independent predictors of blood pressure control. These methods can be integrated seamlessly into routine clinical practice by allowing GPs to quickly evaluate a patient's adherence and tailor treatment recommendations accordingly.

Adherence to Treatment in Hypertension

The lack of adherence to treatment in hypertension affects approximately 30 % of patients. The elderly, those with several co-morbidities, social isolation, low incomes or depressive symptoms are the most vulnerable to this problem. There is no ideal method to quantify the adherence to the treatment. Indirect methods are recommended in clinical practice. Any intervention strategy should not blame the patient and try a collaborative approach. It is recommended to involve the patient in decision-making. The clinical interview style must be patient-centered including motivational techniques. The improvement strategies that showed greater effectiveness in the compliance of hypertension treatment were: treatment simplification, appointment reminders systems, blood pressure self-monitoring, organizational improvements and nurse and pharmacists care. The combination of different interventions are recommended against isolated interventions.

Use of automated medication adherence monitoring in bipolar disorder research: pitfalls, pragmatics, and possibilities

OBJECTIVES

Medication nonadherence occurs in 20-60% of persons with bipolar disorder (BD) and is associated with serious negative outcomes, including relapse, hospitalization, incarceration, suicide and high healthcare costs. Various strategies have been developed to measure adherence in BD. This descriptive paper summarizes challenges and workable strategies using electronic medication monitoring in a randomized clinical trial (RCT) in patients with BD.

METHODS

Descriptive data from 57 nonadherent individuals with BD enrolled in a prospective RCT evaluating a novel customized adherence intervention versus control were analyzed. Analyses focused on whole group data and did not assess intervention effects. Adherence was assessed with the self-reported Tablets Routine Questionnaire and the Medication Event Monitoring System (MEMS).

RESULTS

The majority of participants were women (74%), African American (69%), with type I BD (77%). Practical limitations of MEMS included misuse in conjunction with pill minders, polypharmacy, cost, failure to bring to research visits, losing the device, and the device impacting baseline measurement. The advantages were more precise measurement, less biased recall, and collecting data from past time periods for missed interim visits.

CONCLUSIONS

Automated devices such as MEMS can assist investigators in evaluating adherence in patients with BD. Knowing the anticipated pitfalls allows study teams to implement preemptive procedures for successful implementation in BD adherence studies and can help pave the way for future refinements as automated adherence assessment technologies become more sophisticated and readily available.

A New Frontier: Integrating Behavioral and Digital Technology to Promote Health Behavior

Modifiable behavioral risk factors such as cigarette smoking, physical inactivity, and obesity contribute to over 40 % of premature deaths in the USA. Advances in digital and information technology are creating unprecedented opportunities for behavior analysts to assess and modify these risk factors. Technological advances include mobile devices, wearable sensors, biomarker detectors, and real-time access to therapeutic support via information technology. Integrating these advances with behavioral technology in the form of conceptually systematic principles and procedures could usher in a new generation of effective and scalable behavioral interventions targeting health behavior. In this selective review of the literature, we discuss how technological tools can assess and modify a range of antecedents and consequences of healthy and unhealthy behavior. We also describe practical, methodological, and conceptual advantages for behavior analysts that stem from the use of technology to assess and treat health behavior.

[Pharmacological compliance in the treatment of arterial hypertension. A review of studies published between 1975 and 2011]

A systematic review was performed from published articles on compliance (PubMed), between 1975 and first of June 2011. Specifically those which measured medication adherence using indirect methods (RCS and/or MEMS-Medication Event Monitoring System) were searched. Descriptors used were: hypertension AND patient compliance AND medication adherence. The main objective is to update the topic of therapeutic compliance in arterial hypertension worldwide, with special attention to Spain, as well as a critical evaluation of the evolution of therapeutic compliance over the period 1975-2011. After analysing 37 research studies published worldwide, the results were: total number of 8623 hypertensive patients, of whom 25.62% were non-compliers (n=2209; 95% CI; 23.82-27.42), and 74.38% were compliers (n=6414; 95% CI; 73.32-75.44). The weighted average of non-compliance was 37.60%. We conclude that the default rate in the pharmacological treatment of hypertension worldwide is high.

The Brief Medication Questionnaire and Morisky-Green test to evaluate medication adherence

OBJECTIVE

To analyze the reliability and performance of the Portuguese version of questionnaires used to evaluate adherence to hypertensive treatment.

METHODS

Hypertensive patients attending a primary healthcare unit in Porto Alegre, Southern Brazil, from January to September 2010, were randomly selected (n = 206). To evaluate adherence, Portuguese versions of the Morisky-Green test (MGT) and the Brief Medication Questionnaire (BMQ) were used. The analysis considered internal consistency, temporal stability and performance compared to three gold standards, which are: inadequate control of blood pressure (BP > 140/90 mmHg); insufficient rate of medication acquisition at the institution's pharmacy (<80%) and a combination of both factors.

RESULTS

Of the patients studied, 97 only used medications dispensed by the Basic Health Unit. The tests showed good internal consistency by Cronbach's α: BMQ 0.66 (95%CI 0.60 to 0.73) and the MGT 0.73 (95%CI 0.67 to 0.79). The BMQ Regimen Screen had a sensitivity of 77%, specificity of 58%, and an area under the ROC curve of 0.70 (95%CI 0.55 to 0.86); for MGT sensitivity was 61%, specificity 36% and area under the ROC curve 0.46 (95%CI 0.30 to 0.62). The correlation between the BMQ and the MGT was r=0.28, p> 0.001. Low adherence per the BMQ is associated with higher blood pressure levels when compared to adherent patients (148.4 [SD 20.1] vs 128.8 [SD 17.8]; p <0.001), but not for the MGT.

CONCLUSIONS

The BMQ showed better performance than the MGT, with greater sensitivity and specificity. Evaluation of adherence may help clinicians discriminate between inadequate use of medication and insufficient treatment regimen.

Reminder packaging for improving adherence to self-administered long-term medications

BACKGROUND

Current methods of improving medication adherence for health problems are mostly complex, labour-intensive, and not reliably effective. Medication 'reminder packaging', which incorporates a date or time for a medication to be taken in the packaging, can act as a reminder to improve adherence. This review of reminder packaging is an update of our 2006 Cochrane review.

OBJECTIVES

The objective of this review was to determine the effects of reminder packaging aids for self-administered medication/s taken for at least one month, on adherence and other outcomes.

SEARCH STRATEGY

We updated searches of the Cochrane Central Register of Controlled Trials (CENTRAL) and the Database of Abstracts of Reviews of Effects (DARE) (The Cochrane Library Issue 9, 2010), MEDLINE, EMBASE, CINAHL and PsycINFO from the database start dates to September 2010. We searched Current Controlled Trials to identify trials in progress. We performed a cited reference search on the Science Citation Index to identify papers that had cited the original systematic review.We also searched the Internet, contacted packaging manufacturers, and checked abstracts from the Pharm-line database and reference lists from relevant articles. We did not apply any language restrictions.

SELECTION CRITERIA

We selected randomised controlled trials with at least 80% follow up. We intended to do a sensitivity analysis of those studies that analysed their data on an intention-to-treat basis. Included studies compared a reminder packaging device with no device, for participants taking self-administered medications for at least one month.

DATA COLLECTION AND ANALYSIS

Three review authors independently assessed studies for inclusion, assessed quality, and extracted data from included studies. Where considered appropriate, data were combined for meta-analysis, or were reported and discussed in a narrative.

MAIN RESULTS

We included twelve studies containing data on 2196 participants; four of these studies were newly included in this 2011 update of our 2006 Cochrane review.Six intervention groups in four trials provided data on the percentage of pills taken. Reminder packaging increased the percentage of pills taken (mean difference (MD) 11% (95% confidence interval (CI) 6% to 17%)). Notable heterogeneity occurred among these trials (I(2) = 96.3%). Two trials provided data for the proportion of self-reported adherent patients, reporting a reduction in the intervention group which was not statistically significant (odds ratio = 0.89 (95% CI 0.56 to 1.40)). We conducted meta-analysis on data from two trials assessing the effect of reminder packaging on blood pressure measurements. We found that reminder packaging significantly decreased diastolic blood pressure (MD = -5.89 mmHg (95% CI -6.70 to -5.09; P < 0.00001; I(2) = 0%). No effect was seen on systolic blood pressure (mean change -1.01, 95% CI -2.22 to 0.20; P = 0.1, I(2) = 0%). We also conducted meta-analysis on extracted data from two trials that looked at change in glycated haemoglobin. We found that reminder packaging significantly reduced glycated haemoglobin levels (MD -0.72; 95% CI -0.83 to -0.60; P < 0.00001; I(2) = 92%), although there was considerable heterogeneity.No appropriate data were available for meta-analysis of remaining clinical outcomes, which included serum vitamin C and E levels, and self-reported psychological symptoms (one trial each). We reported remaining data narratively. In one study the presence of a reminder packaging aid was found to be preferred by patients with low literacy levels.

AUTHORS' CONCLUSIONS

Reminder packing may represent a simple method for improving adherence for patients with selected conditions. Further research is warranted to improve the design and targeting of these devices.

Difficult-to-control arterial hypertension or uncooperative patients? The assessment of serum antihypertensive drug levels to differentiate non-responsiveness from non-adherence to recommended therapy

Difficult-to-control arterial hypertension is a common medical problem that may result from severe hypertensive disease or from poor adherence to the recommended medical treatment. The identification of non-adherent patients is challenging, especially when non-adherence is intentional. The current report describes the use of serum levels of prescribed antihypertensive drugs to evaluate the adherence in individuals with difficult-to-control arterial hypertension. Serum drug levels (SDLs) were evaluated by liquid chromatography with mass spectrometry. The chromatographic separation was performed on a reversed-phase column with a gradient flow of the mobile phase. The detection of analyzed substances was accomplished on a linear ion-trap mass spectrometer. The subjects were labeled as non-adherent when the serum level of at least one of the evaluated drugs was below the limit of quantification. The study used data from 84 patients with arterial hypertension who underwent SDL assessment to verify compliance with the recommended treatment. Patients who presented with uncontrolled blood pressure despite the recommended combination of at least three antihypertensives were enrolled in the analysis. Based on the evaluation of the SDLs, all of the evaluated drugs were found in the sera of 29 (34.5%) of the study patients. In the remaining 55 (65.5%) patients, non-adherence was diagnosed. None of the prescribed antihypertensive drugs was detected in the sera of the 29 (34.5%) patients. Our data suggest that an assessment of SDLs might be helpful before an extensive evaluation is initiated for difficult-to-control hypertension.

Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis

Purpose

It is vital to understand the associations between the medication event monitoring systems (MEMS) and self-reported questionnaires (SRQs) because both are often used to measure medication adherence and can produce different results. In addition, the economic implication of using alternative measures is important as the cost of electronic monitoring devices is not covered by insurance, while self-reports are the most practical and cost-effective method in the clinical settings. This meta-analysis examined the correlations of two measurements of medication adherence: MEMS and SRQs.

Methods

The literature search (1980-2009) used PubMed, OVID MEDLINE, PsycINFO (EBSCO), CINAHL (EBSCO), OVID HealthStar, EMBASE (Elsevier), and Cochrane Databases. Studies were included if the correlation coefficients [Pearson (r_p) or Spearman (r_s)] between adherences measured by both MEMS and SRQs were available or could be calculated from other statistics in the articles. Data were independently abstracted in duplicate with standardized protocol and abstraction form including 1) first author's name; 2) year of publication; 3) disease status of participants; 4) sample size; 5) mean age (year); 6) duration of trials (month); 7) SRQ names if available; 8) adherence (%) measured by MEMS; 9) adherence (%) measured by SRQ; 10) correlation coefficient and relative information, including p-value, 95% confidence interval (CI). A meta-analysis was conducted to pool the correlation coefficients using random-effect model.

Results

Eleven studies (N = 1,684 patients) met the inclusion criteria. The mean of adherence measured by MEMS was 74.9% (range 53.4%-92.9%), versus 84.0% by SRQ (range 68.35%-95%). The correlation between adherence measured by MEMS and SRQs ranged from 0.24 to 0.87. The pooled correlation coefficient for 11 studies was 0.45 (p = 0.001, 95% confidence interval [95% CI]: 0.34-0.56). The subgroup meta-analysis on the seven studies reporting r_p and four studies reporting r_s reported the pooled correlation coefficient: 0.46 (p = 0.011, 95% CI: 0.33-0.59) and 0.43 (p = 0.0038, 95% CI: 0.23-0.64), respectively. No differences were found for other subgroup analyses.

Conclusion

Medication adherence measured by MEMS and SRQs tends to be at least moderately correlated, suggesting that SRQs give a good estimate of medication adherence.

Concordance of adherence measurement using self-reported adherence questionnaires and medication monitoring devices

The primary objective of this review was to identify and examine the literature on the association between medication adherence self-reported questionnaires (SRQs) and medication monitoring devices. The primary literature search was performed for 1980-2009 using PubMed, PubMed In Process and Non-Indexed, Ovid MEDLINE, Ovid MEDLINE In-Process, PsycINFO (EBSCO), CINAHL (EBSCO), Ovid HealthStar, EMBASE (Elsevier) and Cochrane Databases and using the following search terms: 'patient compliance', 'medication adherence', 'treatment compliance', 'drug monitoring', 'drug therapy', 'electronic', 'digital', 'computer', 'monitor', 'monitoring', 'drug', 'drugs', 'pharmaceutical preparations', 'compliance' and 'medications'. We identified studies that included SRQs and electronic monitoring devices to measure adherence and focused on the SRQs that were found to be moderately to highly correlated with the monitoring devices. Of the 1679 citations found via the primary search, 41 full-text articles were reviewed for correlation between monitoring devices and SRQs. A majority (68%) of articles reported high (27%), moderate (29%) or significant (12%) correlation between monitoring devices (37 using Medication Event Monitoring System [MEMS®] and four using other devices) and SRQs (11 identified and numerous other unnamed SRQs). The most commonly used SRQs were the Adult/Pediatric AIDS Clinical Trial Group (AACTG/PACTG; 24.4%, 10/41) followed by the 4-item Morisky (9.8%, 4/41), Brief Medication Questionnaire (9.8%, 4/41) and visual analogue scale (VAS; 7.3%, 3/41). Although study designs differed across the articles, SRQs appeared to report a higher rate of medication adherence (+14.9%) than monitoring devices. In conclusion, several medication adherence SRQs were validated using electronic monitoring devices. A majority of them showed high or moderate correlation with medication adherence measured using monitoring devices, and could be considered for measuring patient-reported adherence prospectively.