scholarly journals Self‐reported medication adherence measurement tools: Some options to avoid a legal minefield

2021 ◽  
Author(s):  
Wubshet Tesfaye ◽  
Gregory Peterson
Keyword(s):  
Medication Adherence ◽  
Adherence Measurement ◽  
Measurement Tools

scholarly journals A Novel Digital Pill System for Medication Adherence Measurement and Reporting: A Usability Validation Study (Preprint)

10.2196/30786 ◽  
2021 ◽  
Author(s):  
Susan Baumgartner ◽  
D Eric Buffkin Jr ◽  
Elise Rukavina ◽  
Jason Jones ◽  
Elizabeth Weiler ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Validation Study ◽  
Adherence Measurement

Abstract 015: Importance of Balanced Follow-up Time and Other Study Design Considerations When Evaluating Adherence Using Two Novel Oral Anticoagulants

2017 ◽  
Vol 10 (suppl_3) ◽  
Author(s):  
Craig Coleman ◽  
Zhong Yuan ◽  
Jeffrey Schein ◽  
Concetta Crivera ◽  
Veronica Ashton ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Real World ◽  
Oral Anticoagulant Therapy ◽  
Oral Anticoagulants ◽  
Real World Data ◽  
Adherence Measure ◽  
Adherence Measurement ◽  
Minimum Number ◽  
The Impact

Background: Medication adherence rates decline over time, especially after the first dispensing. Comparing adherence rates for medications that have been on the market for differing period of time may distort real differences in medication adherence. Other analysis factors such as minimum number of dispensing criteria and Pharmacy Quality Alliance (PQA) adherence measures can also affect adherence measurement. Objectives: To use one real world example (rivaroxaban vs apixaban) in non-valvular atrial fibrillation (NVAF) patients to quantify the impact of adjusting for imbalances in follow-up periods, minimum number of dispensing, and use of the PQA adherence measure. Methods: Using IMS Health Real-World Data Adjudicated Claims and Truven MarketScan claims databases, we included adult patients with ≥1 rivaroxaban or apixaban dispensing (index date), ≥1 year of pre-index eligibility, ≥1 AF diagnosis pre-index, newly initiated on oral anticoagulant therapy, and no valvular involvement. Adherence was evaluated using proportion of days covered (PDC) ≥0.8 for cohorts with (1) unbalanced follow-up (2) balanced follow-up (by matching on month and year of follow-up since fill-date) (3) ≥2 rivaroxaban or apixaban dispensings and a balanced follow-up, and using (4) the PQA adherence measure. Results: Rivaroxaban users had significantly longer mean (SD) follow-up than apixaban (408 [300] versus 254 [196] days, respectively). While apixaban users appeared to be more adherent in unadjusted analyses, this finding was reversed after 1) adjusting for unbalanced follow-up 2) excluding single-time users; and 3) applying the PQA-endorsed adherence measure (Figure). Similar results were found using the Truven databases. Conclusion: Comparisons of the adherence rates among medications need to account for the period of time each have been on the market, number of dispensing and PQA measures. Retrospective analyses of adherence that do not adjust for such differences could produce spurious findings.

scholarly journals Mobile health (mHealth) based medication adherence measurement - a pilot trial using electronic blisters in diabetes patients

2013 ◽  
Vol 76 ◽  
pp. 47-55 ◽  
Author(s):  
Helmut Brath ◽  
Jürgen Morak ◽  
Thomas Kästenbauer ◽  
Robert Modre-Osprian ◽  
Hermine Strohner-Kästenbauer ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Mobile Health ◽  
Pilot Trial ◽  
Adherence Measurement ◽  
Diabetes Patients

scholarly journals A SYSTEMATIC REVIEW ON SELF-REPORTED QUESTIONNAIRES TO ASSESS MEDICATION ADHERENCE IN DIABETIC PATIENTS

2021 ◽  
Vol 21 (2) ◽  
pp. 359-373
Author(s):  
Much Ilham Novalisa Aji Wibowo ◽  
Nanang Munif Yasin ◽  
Susi Ari Kristina ◽  
Yayi Suryo Prabandari
Keyword(s):  
Systematic Review ◽  
Medication Adherence ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Inclusion Criteria ◽  
Measurement Scales ◽  
Cross Sectional ◽  
Adherence Measurement

Adherence to pharmacological therapies are keys to effective treatments in diabetic patients. Previous reviews found that most adherence measurement studies on chronic diseases used a self-reported scale. However, there is no consensus on the best scale to measure adherence in diabetic patients. The purpose of this systematic review was to identify the potential self-reported scale that could be considered for measuring medication adherence in diabetic patients and to provide recommendations for researchers or clinicians to determine appropriate adherence self-reported scales in diabetic patients. This review follows general guidelines in the implementation of systematic reviews. After further review, it was found that 33 studies met all inclusion criteria from 4 databases (Wiley, Science Direct, Scopus, and PubMed). The articles were done by the PRISMA, while the keywords were determined by the PICO method. Most research was conducted in Asia (69.7%) and America (18.2%) on patients with type 2 diabetes  (81.3%), patients in hospitals (54.5%), suffering for 1–6 months (54.5%), and using a cross-sectional study design (78.8%). HbA1c clinic data (57.6%) were used in most studies as biological markers of adherence. The measurement scales of medication adherence in diabetic patients are MMAS-8 (57,.5%), MMAS-4 (12.1%), BMQ (9%), MCQ (6%), ARMS (3%), ARMS-D (3%), GMAS (3%), LMAS-14 (3%), and MARS-5 (3%). This review provides information on the different self-reported scales most widely used in diabetic medication adherence research. Various aspects need to be considered before choosing the scale of adherence.

Technologies for Monitoring Medication Adherence: Important Aspects to Consider for Technology Assessment (Preprint)

2021 ◽  
Author(s):  
Madilyn Mason ◽  
Youmin Cho ◽  
Jessica Rayo ◽  
Yang Gong ◽  
Marcelline Harris ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Technology Assessment ◽  
Data Capture ◽  
Assessment Criteria ◽  
Monitoring Technology ◽  
Adherence Measurement ◽  
Adherence Data ◽  
Monitoring Technologies ◽  
Technical Features ◽  
Adherence Monitoring

BACKGROUND Accurately measuring and monitoring patient medication adherence is a global challenge due to the absence of “gold standard” methods for adherence measurement. Recent attentions have turned towards the adoption of technologies for medication adherence monitoring as they provide the opportunity for continuous tracking of individual medication adherence behavior. Yet, current medication adherence monitoring technologies vary by their technical features and methods of adherence data capture, leading to differences in their respective advantages and limitations. Overall, there is a lack of appropriate criteria to guide the assessment of medication adherence monitoring technologies for optimal adoption and utilization. OBJECTIVE This study aimed to provide a concise overview and summary of current medication adherence monitoring technologies and propose a set of technology assessment criteria to aid in the development and adoption of these technologies. METHODS A literature search was conducted on PubMed, Scopus, CINAHL, and ProQuest Technology Collection (January 2010-June 2021) using the combination of keywords "medication adherence," "measurement technology," and "monitoring technology". The selection focused on studies related to medication adherence monitoring technology and its development and use. The technological features, methods of adherence data capture, and potential advantages and limitations of identified technology applications were extracted. Common, recurring elements were synthesized as potential technology assessment criteria. RESULTS Among 3865 articles retrieved, 98 remained for final review, which reported a variety of technology applications for monitoring medication adherence, including electronic pill bottles/boxes, ingestible sensors, electronic medication management systems, blister pack technology, patient self-report technology, video-based technology, and motion-sensor technology. The most commonly reported technologies included electronic pill bottles, electronic pillboxes, and ingestible sensors. Twenty-eight technology assessment criteria were identified and organized into five categories: Development Information, Technology Features, Medication Adherence Data Collection & Management, Feasibility & Implementation, and Acceptability and Usability. CONCLUSIONS This study summarized the technical features, data capture methods, and various advantages and limitations of medication adherence monitoring technology reported in the literature and proposed criteria for assessing medication adherence monitoring technologies. This collection of assessment criteria may be a useful tool to guide the development and selection of relevant technology, facilitating the optimal adoption and effective use of technology to improve medication adherence outcomes. Future studies are suggested to further validate the medication adherence monitoring technology assessment criteria and construct an appropriate technology evaluation framework.

Heterogeneity in Asthma Medication Adherence Measurement

2019 ◽  
Author(s):  
Holly Tibble ◽  
Amy Chan ◽  
Edwin A. Mitchell ◽  
Rob Horne ◽  
Mehrdad A. Mizani ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Asthma Medication ◽  
Adherence Measurement

scholarly journals Comparison of adherence measurement tools used in a pre-exposure prophylaxis demonstration study among female sex workers in Benin

Medicine ◽  
2020 ◽  
Vol 99 (21) ◽  
pp. e20063
Author(s):  
Aminata Mboup ◽  
Luc Béhanzin ◽  
Fernand Guédou ◽  
Katia Giguère ◽  
Nassirou Geraldo ◽  
...  
Keyword(s):  
Sex Workers ◽  
Female Sex Workers ◽  
Female Sex ◽  
Adherence Measurement ◽  
Measurement Tools ◽  
Exposure Prophylaxis

Interventions to improve oral medication adherence in psychosis: the role of adherence measurement

2011 ◽  
Vol 1 (4) ◽  
pp. 361-369
Author(s):  
David L Roberts ◽  
Megan M Fredrick ◽  
Heather N Carr ◽  
Dawn I Velligan
Keyword(s):  
Medication Adherence ◽  
Oral Medication ◽  
Adherence Measurement
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