An Independent Evaluation of the Accuracy and Usability of Electronic Adherence Monitoring Devices

McGrady, Meghan E.; Holbein, Christina E.; Smith, Ashley; Morrison, Caroline F.; Hommel, Kevin A.; Modi, Avani C.; Pai, Ahna L. H.; Ramsey, Rachelle R.

doi:10.7326/m17-3306

Cited by 32 publications

(29 citation statements)

References 4 publications

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“…Participants completed both the PROMIS® Pain Numeric Rating Scale v.1.0 (Pain Intensity 1a) and PROMIS Fatigue Short Form v1.0 (Fatigue 4a) at baseline to ensure no differences between the control and treatment groups. The Patient-Reported Outcomes Measurement Information System (PROMIS®) is a set of validated, person-centered measures that standardize patient reported outcome assessment for use in both research and health care settings [18]. PROMIS® consists of item banks with variable number of questions that can be combined to form multi-item measures of varying length and complexity [18,19].…”

Section: Pain Intensity and Fatiguementioning

confidence: 99%

“…The Patient-Reported Outcomes Measurement Information System (PROMIS®) is a set of validated, person-centered measures that standardize patient reported outcome assessment for use in both research and health care settings [18]. PROMIS® consists of item banks with variable number of questions that can be combined to form multi-item measures of varying length and complexity [18,19]. Both measures employ a Likert-type scale.…”

Section: Pain Intensity and Fatiguementioning

confidence: 99%

“…For pain intensity, a higher score denotes greater pain. For the PROMIS® fatigue, a T-score is calculated in which 50 is the mean of a relevant reference population and 10 is the standard deviation of that population [18,20]. Higher T scores represent greater fatigue.…”

Section: Pain Intensity and Fatiguementioning

confidence: 99%

“…Personalized prescribed treatment plans have been found to improve diseasespecific knowledge in pediatric chronic conditions and subsequent adherence behaviors [17]. Automated digital reminders target the barrier of forgetting by reminding patients to take their medications at specified times using mobile devices and/or compartment lights and audible alarms [18]. Automated digital reminders have been show to significantly improve short term medication adherence in adult populations [19], but need to be further studied in adolescents and young adults whose information consumption patterns best align with technology use [20].…”

Section: Introductionmentioning

confidence: 99%

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Feasibility and acceptability of an innovative adherence intervention for young adults with childhood-onset systemic Lupus Erythematosus

et al. 2020

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Background: In Childhood-Onset Systemic Lupus Erythematosus (cSLE), poor medication adherence rates are very high. Interventions targeting this problem in cSLE are limited thus effective interventions are needed. The objective of this study is to examine the feasibility and acceptability an intervention (automated digital reminders + personalized prescribed treatment plan (pPTP)) to improve medication adherence in young adults with cSLE over 3 months. Method: This is a proof-of-concept randomized controlled study. All participants received SimpleMed+ pillboxes that track adherence. The treatment group received a pPTP, and in month 2, preselected digital reminders for missed doses. Reminders were discontinued after 30 days and adherence data collected. Data analysis was done using t-tests. Results: Twenty-one participants were approached and nineteen consented to participate, yielding a recruitment rate of 86%. Participants were on average 20.5 years, mostly black (58%) and female (84%). Of the nineteen consented, eleven were randomized to control (57%) and eight to treatment (42%) groups respectively. All participants in the treatment group rated the pillbox as easy to use, notably; none reported boredom with the pillbox or reminders. Also, 88% of participants in the treatment group rated the pillbox as helpful, however, only 50% reported the pPTP taught them new information about lupus or made them more interested in their lupus management. Conclusions: This is the first use of an electronic pillbox to track adherence to multiple medications in cSLE. The high rating of the pillbox makes it an acceptable method of measuring adherence. Feasibility and acceptability ratings for the intervention were mixed suggesting a there is a subset of cSLE patients for whom this intervention would be beneficial. Future research should focus on a larger trial.

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Section: Pain Intensity and Fatiguementioning

confidence: 99%

Section: Pain Intensity and Fatiguementioning

confidence: 99%

Section: Pain Intensity and Fatiguementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Feasibility and acceptability of an innovative adherence intervention for young adults with childhood-onset systemic Lupus Erythematosus

et al. 2020

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“…Although medication non-adherence is an important drug-related issue in all populations, it is particularly problematic for elderly patients, who often experience a variety of medical conditions and use more medications compared to other patients [36]. The medication adherence of patients is assessed by evaluating medical/dispensing records and pharmacy claims data, such as the Medication Possession Ratio [37,38] and the Proportion of Days Covered [39][40][41][42]; using electronic monitoring devices [43,44]; using patient self-reports [45], such as the Morisky Medication Adherence Scale [46,47] and the visual analogue scale (VAS) [48][49][50][51][52][53]. The VAS is a tool that helps clinicians or pharmacists assess the medication adherence of patients in routine clinical practice.…”

Section: Introductionmentioning

confidence: 99%

Association of Self-Reported Medication Adherence with Potentially Inappropriate Medications in Elderly Patients: A Cross-Sectional Pilot Study

Miyazaki

Uchiyama

Nakamura

et al. 2020

IJERPH

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Background: Polypharmacy (PP) and potentially inappropriate medications (PIMs) cause problematic drug-related issues in elderly patients; however, little is known about the association between medication adherence and PP and PIMs. This study evaluated the association of self-reported medication adherence with PP and PIMs in elderly patients. Methods: A cross-sectional pilot study was conducted using data collected from electronic medical records of 142 self-administering patients aged ≥65 years, excluding emergency hospitalization cases. Self-reported medication adherence was assessed using the visual analogue scale (VAS). Results: Of the 142 patients, 91 (64.1%) had PP and 80 (56.3%) used at least one PIM. In univariate analysis, patients with a VAS score of 100% had a significantly higher number of female patients and ≥1 PIM use compared to other patients. We found no association between the VAS score and PP. In multivariable analysis, the use of PIMs was significantly associated with a VAS score of 100% (odds ratio = 2.32; 95% confidence interval = 1.16–4.72; p = 0.017). Conclusions: Use of PIMs by elderly patients is significantly associated with self-reported medication adherence. Pharmacists should pay more attention to prescribed medications of self-administering elderly patients in order to improve their prescribing quality.

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Interventions to Improve Medication Adherence

Kini

2018

JAMA

406

279

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An Independent Evaluation of the Accuracy and Usability of Electronic Adherence Monitoring Devices

Cited by 32 publications

References 4 publications

Feasibility and acceptability of an innovative adherence intervention for young adults with childhood-onset systemic Lupus Erythematosus

Feasibility and acceptability of an innovative adherence intervention for young adults with childhood-onset systemic Lupus Erythematosus

Association of Self-Reported Medication Adherence with Potentially Inappropriate Medications in Elderly Patients: A Cross-Sectional Pilot Study

Interventions to Improve Medication Adherence

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