An in-home Medication Dispensing System to Support Medication Adherence for Patients with Chronic Conditions in the Community Setting: A Prospective Observational Pilot Study (Preprint)

Patient-reported usability challenges when implementing integrated EHR medication reminders for kidney transplant patients in a home setting: A pilot study

BACKGROUND

With an aging population and the increasing prevalence of chronic diseases such as chronic kidney disease (CKD), kidney transplantation is the preferred treatment for end-stage renal disease due to its superior clinical outcomes and cost-effectiveness compared to dialysis. Although EHR-integrated medication reminders have the potential to enhance adherence in transplant patients, their feasibility require further investigation.

OBJECTIVE

The objective of this pilot study was to assess the feasibility of an integrated medication reminder tool for kidney transplant patients in terms of experienced usability and satisfaction.

METHODS

A single-arm survey design was used to assess the usability and satisfaction in kidney transplant recipients using an EHR-integrated medication reminder tool through the patient portal at a large academic hospital in the Netherlands. Usability and satisfaction were evaluated using the validated Experienced Usability and Satisfaction with self-monitoring in the home Setting (GEMS) questionnaire comprising four subconstructs: Convenience of use, Perceived value, Efficiency of use, and Satisfaction. Quantitative data were analysed and assessed through descriptive statistics. Furthermore, six additional questions assessed logging into the system, ease of follow-up on reminder, satisfaction with reminder timing, perceived support for adherence, occurrence of incorrect reminders, and willingness to continue using the tool, using Likert scales and open-ended responses.

RESULTS

In total, forty-three patients participated in this study. The results showed mixed experienced usability and satisfaction, with a GEMS score of 65.0%. The Efficiency of use subconstruct revealed issues such as difficulties in checking off medication and accessing the patient portal. The Satisfaction subconstruct revealed limitations of the tool, as reminders cannot be customized, creating inconvenience for patients who had developed their own medication routines after transplantation. One third (35.7%) of the patients reported willingness to continue using the tool after the pilot program.

CONCLUSION

The experienced usability and satisfaction of an integrated EHR medication reminder tool were adequate for half of the patients. To facilitate large-scale implementation, improvements of the tool are needed to maximize its effectiveness for kidney transplant patients, particularly by enhancing customization of the notification system to better meet user needs and support medication adherence.

Biopsychosocial determinants of quality of life in informal caregivers of stroke survivors

INTRODUCTION

Based on the biopsychosocial health model of the International Classification of Functioning (ICF) the purpose of the study was to investigate whether components of body functions and structures, activities, environmental and personal factors would predict Quality of Life (QoL) for informal caregivers of stroke survivors still in hospitalization period.

METHOD

This cross-sectional study comprised 50 informal caregivers (43.8 ± 16.2 years). Face-to-face semi-structured interviews based on ICF components were conducted: body functions and structures (pain intensity by Visual Analogue Scale), activities (physical activity level by International Physical Activity Questionnaire, functional mobility by Timed Up and Go Test), environmental (education level) and personal factors (age). QoL was evaluated by Short Form Health Survey-36 including the domains: Physical functioning (PF); role-physical (RP); bodily pain (BP); general health (GH); vitality (VT); social functioning (SF); role-emotional (RE); and mental health (MH). Multiple linear regression was performed to investigate the association between the variables.

RESULTS

The majority were females (70%) married to the patients (36%). Fifty percent reported pain (50%), the most prevalent location was the back (52%) at low intensity (36%). The pain intensity (PF: β -0.44; BP: β -0.43, VT and SF: β -0.36), physical activity level (PF: β 0.32; GH: β 0.41), age (RE: β -0.48), and education level (RE: 0.32) are predictors of the informal caregivers QoL (p ≤ 0.02).

CONCLUSION

The QoL of informal caregivers of stroke survivors might be determined by multiple health domains. This information must be helpful to guide assertive strategies to minimize the negative impact on QoL of informal caregivers.

Collecting Real-World Data via an In-Home Smart Medication Dispenser: Longitudinal Observational Study of Survey Panel Persistency, Response Rates, and Psychometric Properties

Background

A smart medication dispenser called "spencer" is a novel generator of longitudinal survey data. The patients dispensing medication act as a survey panel and respond to questions about quality of life and patient-reported outcomes.

objectives

Our goal was to evaluate panel persistency, survey response rates, reliability, and validity of surveys administered via spencer to 4138 polychronic patients residing in the United States and Canada.

Methods

Patients in a Canadian health care provider's program were included if they were dispensing via spencer in the June 2021 to February 2024 time frame and consented to have their data used for research. Panel persistency was estimated via discrete survival methods for 2 years and survey response rates were computed for 1 year. Patients were grouped by mean response rates in the 12th month (<90% vs ≥90%) to observe differential response rate trends. For reliability and validity, we used a spencer question about recent falls with ternary responses value-coded -1, 0, and 1. For reliability, we computed Pearson correlation between mean scores over 2 years of survey responses, and transitions between mean score intervals of [0, 0.5), [-0.5, 0.5), and [0.5, 1]. For validity, we measured the association between the falls question and known factors influencing fall risk: age, biological sex, quality of life, physical and emotional health, and use of selective serotonin reuptake inhibitors or serotonin-norepinephrine reuptake inhibitors, using repeated-measures regression for covariates and Kendall τ for concomitant spencer questions.

Unlabelled

From 4138 patients, dispenser persistency was 68.3% (95% CI 66.8%-69.8%) at 1 year and 51% (95% CI 49%-53%) at 2 years. Within the cohort observed beyond 1 year, 82.3% (1508/1832) kept surveys enabled through the 12th month with a mean response rate of 84.1% (SD 26.4%). The large SD was apparent in the subgroup analysis, where a responder versus nonresponder dichotomy was observed. For 234 patients with ≥5 fall risk responses in each of the first 2 years, the Pearson correlation estimate between yearly mean scores was 0.723 (95% CI 0.630-0.798). For mean score intervals [0, 0.5), [-0.5, 0.5), and [0.5, 1], self-transitions were the most common, with 59.8% (140/234) of patients starting and staying in [0.5, 1]. Fall risk responses were not significantly associated with sex (P=.66) or age (P=.76) but significantly related to selective serotonin reuptake inhibitor or serotonin-norepinephrine reuptake inhibitor usage, quality of life, depressive symptoms, physical health, disability, and trips to the emergency room (P<.001).

Conclusions

A smart medication dispenser, spencer, generated years of longitudinal survey data from patients in their homes. Panel attrition was low, and patients continued to respond at high rates. A fall risk measure derived from the survey data showed evidence of reliability and validity. An alternative to web-based panels, spencer is a promising tool for generating patient real-world data.

Interventions to improve medication adherence in persons with mental disorders

PURPOSE OF REVIEW

Nonadherence to medication is prevalent in patients with mental illness. Various factors responsible for it. As a result, there are more hospitalizations, increased risk of suicide and increased cost of care. Thus, there is a need for effective interventions to improve adherence in mentally ill patients.

RECENT FINDINGS

Adherence to medication includes participation of patient in decision making. Interventions in the recent years help patients through techniques like psychoeducation, motivational interviewing and cognitive behaviour therapy. Interventions involve both patients and caregivers. There is a growing body of research about use of technology -based interventions using smart phones, various applications, digital platforms and artificial intelligence. Recent findings of research indicate that a combination of methods of intervention may be more useful in improving adherence. Some conventional interventions yield good results. Robust research is needed in the field of technology- based interventions.

SUMMARY

Non adherence to medication leads to poorer health outcomes and hampers integration of the patient in the society. A collaborative effort of the team of healthcare providers, the patient and caregivers is the way ahead for better adherence and good quality of life.

Effectiveness of Mobile Health Intervention in Medication Adherence: a Systematic Review and Meta-Analysis

Low medication adherence poses a great risk of poor treatment outcomes among patients with chronic diseases. Recently, mobile applications (apps) have been recognized as effective interventions, enabling patients to adhere to their prescriptions. This study aimed to establish the effectiveness of mobile app interventions for medication adherence, affecting features, and dropout rates by focusing on previous randomized controlled trials (RCTs). This study conducted a systematic review and meta-analysis of mobile app interventions targeting medication adherence in patients with chronic diseases. Electronic searches of eight databases were conducted on April 21, 2023, for studies published between 2013 and 2023. Comprehensive meta-analysis software was used to estimate the standardized mean difference (SMD) of pooled outcomes, odds ratios (ORs), and confidence intervals (CIs). Subgroup analysis was applied to investigate and compare the effectiveness of the interventional strategies and their features. The risk of bias of the included RCTs was evaluated by applying the risk of bias tool. Publication bias was examined using the fail-safe N method. Twenty-six studies with 5,174 participants were included (experimental group 2603, control group 2571). The meta-analysis findings showed a positive impact of mobile apps on improving medication adherence (OR = 2.371, SMD = 0.279). The subgroup analysis results revealed greater effectiveness of interventions using interactive strategies (OR = 2.652, SMD = 0.283), advanced reminders (OR = 1.849, SMD = 0.455), data-sharing (OR = 2.404, SMD = 0.346), and pill dispensers (OR = 2.453). The current study found that mobile interventions had significant effects on improving medication adherence. Subgroup analysis showed that the roles of stakeholders in health providers' interactions with patients and developers' understanding of patients and disease characteristics are critical. Future studies should incorporate advanced technology reflecting acceptability and the needs of the target population.

Usability of an automated medication dispensation device and adherence dashboard: A study protocol

Non-adherence to prescribed medication regimens can lead to suboptimal control of chronic health conditions and increased hospitalizations. Older adults may find it particularly challenging to self-manage medications due to physical and cognitive limitations, resulting in medication non-adherence. While automated medication dispensing technologies may offer a solution for medication self-management among older adults, these technologies must demonstrate usability before effectiveness can be investigated and products made available for widespread use. This study will aim to measure usability, workload, and unassisted task completion rates of an automated medication dispenser and medication adherence dashboard on the Medipense portal with older adults and their clinicians, respectively. This study is designed as a convergent parallel mixed-methods observational study with older adults and their clinicians. Usability will be examined with the use of the System Usability Scale (SUS) while NASA Load Index (NASA-TLX) will be utilized to assess the workload of both the device and the adherence monitoring platform. Cognitive walkthrough will be utilized prior to usability testing to identify series of steps required to use the automated dispenser and adherence dashboard. The study will assess the unassisted task completion rates to successfully operate the device. Semi-structured interviews with both types of participants will provide qualitative data with which to comprehensively gauge the automated dispenser user experience. The results of this study will allow us to examine usability of both the automated medication dispensing system and the adherence monitoring dashboard from older adult and health-care provider perspectives. The results of this study will highlight and address the challenges with usability that older adults and health-care providers may face with this device and dashboard. The results of this study will be used to optimize the usability of both the automated medication dispenser and the adherence dashboard. In clinical practice, usability of technology is important to establish prior to full-scale implementation. Products that are not user friendly, add to workload, impact workflow, or are difficult to navigate by both clinicians and population in general may not be adopted. Usability permits an evaluation of the products, to identify problems that must be addressed prior to implementation and to ensure products are useful in clinical practice.

A Systematic Review on Pill and Medication Dispensers from a Human-Centered Perspective

As medication adherence represents a critical challenge in healthcare, pill and medication dispensers have gained increasing attention as potential solutions to promote adherence and improve patient outcomes. Following the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) methodology, we carried out a systematic literature review on papers indexed in Scopus and PubMed, which present solutions for pill or medication dispensers. Given the importance of user acceptance for these solutions, the research questions of the survey are driven by a human-centered perspective. We first provide an overview of the different solutions, classifying them according to their stage of development. We then analyze each solution considering its hardware/software architecture. Finally, we review the characteristics of user interfaces designed for interacting with pill and medication dispensers and analyze the involvement of different types of users in dispenser management. On the basis of this analysis, we draw findings and indications for future research that are aimed to provide insights to healthcare professionals, researchers, and designers who are interested in developing and using pill and medication dispensers.

Improved Medication Adherence of an Elderly Diabetic Patient at a Dwelling Home Using a Pill Dispenser and Personal Health Records

Fookkun® is a pill dispenser in which single doses of several medications intended to be taken simultaneously are sealed in single film bags rolled onto a medication rotating drum. The system makes musical alert sounds when it is time for the patient to take the medications. If the patient misses a dose, a designated contact, such as the patient's child, is alerted. We conducted an experiment monitoring the use of a pill dispenser (Fookkun®) by an older patient. The participant was a 71-year-old woman with diabetes living in a dwelling home. The experiment lasted approximately 6 months. Fookkun® and the prototype data transmitter were installed at the patient's home. Fookkun®'s medication history data are displayed on the electronic medication record book (E-MRB) and the patient's pharmacist checks the patient's medication history on the E-MRB. The Fookkun® was effective in facilitating medication adherence. The pharmacist and the patient's daughter did not need to check the E-MRB because Fookkun® alerted them when the patient missed her medication. We believe that if the medication history data linked between a pill dispenser and an E-MRB can be shared among medical staff, this will contribute to a medical digital transformation in Japan in the future.

Digital Solutions Available to Be Used by Informal Caregivers, Contributing to Medication Adherence: A Scoping Review

Medication adherence is essential for managing chronic diseases and achieving optimal health outcomes. However, this process is often challenging, particularly for patients with complex care needs. Informal caregivers play a pivotal role in supporting medication management, but they may face resource limitations and a lack of necessary support. Digital health tools offer a promising avenue to enhance medication adherence by providing reminders, education, and remote monitoring capabilities. This scoping review aimed to identify and evaluate digital solutions available to informal caregivers for improving medication adherence. A systematic search of PubMed and Web of Science was conducted using relevant keywords. Four studies were included in the review, examining a variety of digital tools including mobile apps, SMS messaging, and wearable devices. These tools demonstrated efficacy in improving medication adherence, managing disease symptoms, and enhancing quality of life for patients and caregivers. Digital health interventions hold the potential to revolutionize medication adherence among chronic disease patients. By empowering informal caregivers, these tools can bridge the gaps in medication management and contribute to better health outcomes. Further research is warranted to optimize the design, implementation, and evaluation of digital interventions for medication adherence.

Key Features of Smart Medication Adherence Products: Updated Scoping Review

BACKGROUND

Older adults often face challenges in self-managing their medication owing to physical and cognitive limitations, complex medication regimens, and packaging of medications. Emerging smart medication dispensing and adherence products (SMAPs) offer the options of automated dispensing, tracking medication intake in real time, and reminders and notifications. A 2021 review identified 51 SMAPs owing to the rapid influx of digital technology; an update to this review is required.

OBJECTIVE

This review aims to identify new products and summarize and compare the key features of SMAPs.

METHODS

Gray and published literature and videos were searched using Google, YouTube, PubMed, Embase, and Scopus. The first 10 pages of Google and the first 100 results of YouTube were screened using 4 and 5 keyword searches, respectively. SMAPs were included if they were able to store and allowed for the dispensation of medications, tracked real-time medication intake data, and could automatically analyze data. Products were excluded if they were stand-alone software applications, not marketed in English, not for in-home use, or only used in clinical trials. In total, 5 researchers independently screened and extracted the data.

RESULTS

This review identified 114 SMAPs, including 80 (70.2%) marketed and 34 (29.8%) prototypes, grouped into 15 types. Among the marketed products, 68% (54/80) were available for consumer purchase. Of these products, 26% (14/54) were available worldwide and 78% (42/54) were available in North America. There was variability in the hardware, software, data collection and management features, and cost of the products. Examples of hardware features include battery life, medication storage capacity, availability of types and number of alarms, locking features, and additional technology required for use of the product, whereas software features included reminder and notification capabilities and availability of manufacturer support. Data capture methods included the availability of sensors to record the use of the product and data-syncing capabilities with cloud storage with short-range communications. Data were accessible to users via mobile apps or web-based portals. Some SMAPs provided data security assurance with secure log-ins (use of personal identification numbers or facial recognition), whereas other SMAPs provided data through registered email addresses. Although some SMAPs were available at set prices or free of cost to end users, the cost of other products varied based on availability, shipping fees, and subscription fees.

CONCLUSIONS

An expanding market for SMAPs with features specific to at-home patient use is emerging. Health care professionals can use these features to select and suggest products that meet their patients' unique requirements.

Exploring the Value of Real-Time Medication Adherence Monitoring: A Qualitative Study

Smart adherence products enable the monitoring of medication intake in real-time. However, the value of real-time medication intake monitoring to different stakeholders such as patients, their caregivers, clinicians, and insurers is not elucidated. The aim of this study was to explore the value different stakeholders place on the availability of smart adherence products and access to real-time medication intake data. A qualitative study design using semi-structured one-on-one virtual interviews was utilized. Schwartz's theory of values provided the foundation for the interview questions, data were analyzed using Braun and Clark's thematic analysis framework, and findings were mapped back to the constructs of Schwartz's theory of values. A total of 31 interviews with patients, caregivers, healthcare providers, and representatives of private or public insurance providers were conducted. Three themes and ten subthemes were identified. Themes included perceptions of integrating smart medication adherence technologies and real-time monitoring, technology adoption factors and data management. Stakeholders place different values based on the motivators and goals that can drive product use for daily medication management. Stakeholders valued the availability of real-time medication taking data that allow clinicians to make timely data-driven recommendations to their patients that may improve medication management for patients and reduce the caregiver burden.