Review of glaucoma medication adherence monitoring in the digital health era

2021 ◽  
pp. bjophthalmol-2020-317918
Author(s):  
Alaa Erras ◽  
Bita Shahrvini ◽  
Robert N Weinreb ◽  
Sally L Baxter

Current glaucoma treatments aim to lower intraocular pressure, often with topical ocular hypotensive medications. Unfortunately, the effectiveness of these medications depends on sustained patient adherence to regimens which may involve instilling multiple medications several times daily. Patient adherence to glaucoma medications is often low. Recent innovations in digital sensor technologies have been leveraged to confirm eyedrop medication usage in real-time and relay this information back to providers. Some sensors have also been designed to deliver medication reminders and notifications as well as assist with correct eyedrop administration technique. Here, we review recent innovations targeted at improving glaucoma medication adherence and discuss their limitations.

2014 ◽  
Vol 25 (6) ◽  
pp. 646-651 ◽  
Author(s):  
Jennifer A. Pellowski ◽  
Seth C. Kalichman ◽  
Denise White ◽  
Christina M. Amaral ◽  
Ginger Hoyt ◽  
...  

2021 ◽  
Vol 13 (8) ◽  
pp. 195
Author(s):  
Akash Gupta ◽  
Adnan Al-Anbuky

Hip fracture incidence is life-threatening and has an impact on the person’s physical functionality and their ability to live independently. Proper rehabilitation with a set program can play a significant role in recovering the person’s physical mobility, boosting their quality of life, reducing adverse clinical outcomes, and shortening hospital stays. The Internet of Things (IoT), with advancements in digital health, could be leveraged to enhance the backup intelligence used in the rehabilitation process and provide transparent coordination and information about movement during activities among relevant parties. This paper presents a post-operative hip fracture rehabilitation model that clarifies the involved rehabilitation process, its associated events, and the main physical movements of interest across all stages of care. To support this model, the paper proposes an IoT-enabled movement monitoring system architecture. The architecture reflects the key operational functionalities required to monitor patients in real time and throughout the rehabilitation process. The approach was tested incrementally on ten healthy subjects, particularly for factors relevant to the recognition and tracking of movements of interest. The analysis reflects the significance of personalization and the significance of a one-minute history of data in monitoring the real-time behavior. This paper also looks at the impact of edge computing at the gateway and a wearable sensor edge on system performance. The approach provides a solution for an architecture that balances system performance with remote monitoring functional requirements.


2011 ◽  
Vol 16 (2) ◽  
pp. 375-382 ◽  
Author(s):  
Jessica E. Haberer ◽  
Gregory K. Robbins ◽  
Michele Ybarra ◽  
Alexandra Monk ◽  
Kathleen Ragland ◽  
...  

2013 ◽  
Vol 90 (8) ◽  
pp. 883-897 ◽  
Author(s):  
Laura E. Dreer ◽  
Christopher A. Girkin ◽  
Lisa Campbell ◽  
Andy Wood ◽  
Liyan Gao ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Vaishali Vasavada ◽  
Abhay R. Vasavada ◽  
Viraj A. Vasavada ◽  
Shail A. Vasavada ◽  
Deepak Bhojwani

Author(s):  
Kelty B Fehling ◽  
Anne Lambert-Kerzner ◽  
Ryan Davis ◽  
Jennifer Weaver ◽  
Casey Barnett ◽  
...  

Background: Despite the success of pharmacist-led interventions to improve medication adherence, pharmacists’ perspectives of these interventions are unknown. Our objective was to understand the pharmacists’ perspectives of a successful multifaceted intervention to improve medication adherence after acute coronary syndrome (ACS) hospitalization. Methods: We ascertained pharmacist perspectives’ through qualitative inquiry that included an open-ended survey, semi-structured interviews, and a focus group with the four pharmacists who participated in the intervention. Transcripts of surveys and interviews were analyzed using a content analysis approach. The intervention components included: 1) patient education; 2) assessment tools for potential medication adherence barriers; 3) collaborative care; and 4) automated medication refill reminders and educational messages. Pharmacists’ perspectives on each of these components were evaluated. Results: The pharmacists felt the intervention could be sustained in routine clinical care and identified key themes that facilitated intervention success. Pharmacists believed educating patients about their cardiovascular medications filled a gap in usual care. In addition, assessment tools that identified medication discrepancies and gaps in knowledge were helpful in tailoring patient education, while face-to-face conversations were more helpful in identifying mental and cognitive deficits that were barriers to adherence. Pharmacists also noted that the intervention led to the development of bi-directional relationships with patients through increased in-person and tele-health communication. As a result, poor adherence related to medication side effects was more readily addressed. Potential areas for improvement identified by the pharmacists included 1) emphasizing in-person visits to build relationships (begin the educational process while the patient is hospitalized and schedule both the follow-up clinic appointment and pharmacy visit at the same time); 2) utilizing the patient centered medical home concept to improve access to providers; 3) allowing sites to determine provider type to support the personal contact (i.e. pharmacist, nurse practitioner, registered nurse); and 4) employing interactive voice response (IVR) technology to facilitate communication. Conclusions: Pharmacists’ perspectives of a medication adherence intervention gave insights into reasons for the intervention success and suggestions for improvements and dissemination. We found that in-person meetings between pharmacists and patients led to bi-directional conversations and relationships with providers, which positively influenced patient adherence behavior. Future interventions designed to improve medication adherence should incorporate these pharmacist-identified factors.


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