scholarly journals The Development of a Smart Reminder System to Promote Adherence to Technology-Based Intervention and Assessment

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 553-553
Author(s):  
Walter Boot ◽  
Neil Charness
Keyword(s):  
Clinical Trials ◽  
Support System ◽  
Cognitive Intervention ◽  
Motivating Factors ◽  
Focus Group Study ◽  
Motivational Messages ◽  
Reminder System ◽  
Integrated Technology ◽  
Home Based ◽  
Adherence Support

Abstract The overarching aim of the National Institute on Aging funded Adherence Promotion with Person-centered Technology (APPT) Project is to promote adherence to technology-based solutions designed to enhance the early detection and treatment of cognitive decline. The goal is to build and evaluate adaptive, tailored, and integrated technology-based adherence support systems for mobile software platforms that assess and train cognitive skill. The symposium describes the various steps of the development process of the APPT smart adherence support system. N. Charness will present an overview of the APPT project, its aims, and the clinical trials designed to assess the effectiveness of the APPT smart reminder system compared to typical reminder systems. S. Chakraborty will present detailed analyses of past cognitive intervention data to inform understanding of who is likely at risk for poor adherence and how adherence lapses might be predicted in advance to provide just-in-time adherence support. D. Carr will present an exploration of motivating factors for participants to engage in research, and these motivations will be tapped to help develop motivational messages for the APPT adherence support system to be used in the two planned clinical trials. M. Dieciuc will provide additional insights into motivations for engaging in home-based cognitive assessment and training derived from a focus group study. Finally, S. Zhang will describe the results of an initial pilot study examining the effectiveness of motivational reminder messages that match vs. mismatch participants’ own motivations. All results inform the design of the APPT system to maximize adherence.

scholarly journals An Introduction to the Adherence Promotion With Person-Centered Technology Project

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 656-656
Author(s):  
Michael Dieciuc ◽  
Dawn Carr ◽  
Zhe He ◽  
Shayok Chakraborty ◽  
Neil Charness ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Extended Period ◽  
Reminder System ◽  
Integrated Technology ◽  
Technology Project ◽  
Age Related ◽  
Home Based ◽  
Adherence Support ◽  
Age Related Cognitive Decline ◽  
And Training

Abstract The massive potential of cognitive training and longitudinal cognitive assessment to detect and prevent age-related cognitive decline and dementia will not be realized unless individuals are willing and able to engage with these protocols for an extended period of time. Unfortunately, similar to other health behaviors, adherence to home-based assessment and training is frequently poor. Addressing the gap between potential and realized benefits is an urgent goal as the population ages. APPT investigates these and related issues within samples of older adults with and without cognitive impairment. Ultimately, two randomized controlled trials will test whether an adaptive, tailored, and integrated technology-based adherence support system can boost adherence, with the ultimate goal being the early detection and treatment of age-related cognitive decline and dementia. Initial algorithm development and application to existing datasets will be presented that will inform the design of a smart reminder system that will later be assessed.

scholarly journals The TOPAZ study: a home-based trial of zoledronic acid to prevent fractures in neurodegenerative parkinsonism

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Caroline M. Tanner ◽  
Steven R. Cummings ◽  
Michael A. Schwarzschild ◽  
Ethan G. Brown ◽  
E. Ray Dorsey ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Zoledronic Acid ◽  
Support Groups ◽  
Movement Disorders ◽  
Fracture Prevention ◽  
Parenteral Therapy ◽  
Controlled Clinical Trials ◽  
Multiple Sources ◽  
Parenteral Treatment ◽  
Home Based

AbstractThe Trial of Parkinson’s And Zoledronic acid (TOPAZ, https://clinicaltrials.gov/ct2/show/NCT03924414) is a unique collaboration between experts in movement disorders and osteoporosis to test the efficacy of zoledronic acid, an FDA-approved parenteral treatment for osteoporosis, for fracture prevention in people with neurodegenerative parkinsonism. Aiming to enroll 3,500 participants age 65 years or older, TOPAZ is one of the largest randomized, placebo-controlled clinical trials ever attempted in parkinsonism. The feasibility of TOPAZ is enhanced by its design as a U.S.- wide home-based trial without geographical limits. Participants receive information from multiple sources, including specialty practices, support groups and websites. Conducting TOPAZ in participants’ homes takes advantage of online consent technology, the capacity to confirm diagnosis using telemedicine and the availability of research nursing to provide screening and parenteral therapy in homes. Home-based clinical research may provide an efficient, convenient, less expensive method that opens participation in clinical trials to almost anyone with parkinsonism.

Abstract 430: Perceptions among African Americans of prostate cancer and clinical trials: A focus group study

2021 ◽  
Author(s):  
Lourdes A. Baezconde-Garbanati ◽  
Carolina Aristizabal ◽  
Sandra Suther ◽  
Fern Webb ◽  
Mariana C. Stern
Keyword(s):  
Prostate Cancer ◽  
Clinical Trials ◽  
African Americans ◽  
Focus Group ◽  
Focus Group Study

scholarly journals The effect of requesting a reason for non-adherence to a guideline in a long running automated reminder system for PONV prophylaxis

2017 ◽  
Vol 26 (01) ◽  
pp. 313-321 ◽  
Author(s):  
Fabian O. Kooij ◽  
Toni Klok ◽  
Benedikt Preckel ◽  
Markus W. Hollmann ◽  
Jasper E. Kal
Keyword(s):  
Decision Support ◽  
Support System ◽  
Guideline Adherence ◽  
Postoperative Nausea And Vomiting ◽  
Study Groups ◽  
Historical Control Group ◽  
Historical Control ◽  
Control Group ◽  
Reminder System ◽  
Screening Clinic

SummaryBackground: Automated reminders are employed frequently to improve guideline adherence, but limitations of automated reminders are becoming more apparent. We studied the reasons for non-adherence in the setting of automated reminders to test the hypothesis that a separate request for a reason in itself may further improve guideline adherence.Methods: In a previously implemented automated reminder system on prophylaxis for postoperative nausea and vomiting (PONV), we included additional automated reminders requesting a reason for non-adherence. We recorded these reasons in the pre-operative screening clinic, the OR and the PACU. We compared adherence to our PONV guideline in two study groups with a historical control group.Results: Guideline adherence on prescribing and administering PONV prophylaxis (dexamethasone and granisetron) all improved compared to the historical control group (89 vs. 82% (p< 0.0001), 96 vs 95% (not significant) and 90 vs 82% (p<0.0001)) while decreasing unwarranted prescription for PONV prophylaxis (10 vs. 13 %). In the pre-operative screening clinic, the main reason for not prescribing PONV prophylaxis was disagreement with the risk estimate by the decision support system. In the OR/PACU, the main reasons for not administering PONV prophylaxis were: ‘unintended non-adherence’ and ‘failure to document’.Conclusions: In this study requesting a reason for non-adherence is associated with improved guideline adherence. The effect seems to depend on the underlying reason for non-adherence. It also illustrates the importance of human factors principles in the design of decision support. Some reasons for non-adherence may not be influenced by automated reminders.

Feasibility of conducting home-based clinical trials in patients with advanced pancreatic cancer.

2010 ◽  
Vol 28 (15_suppl) ◽  
pp. e14647-e14647
Author(s):  
A. P. Abernethy ◽  
L. S. Schwartzberg ◽  
D. Li ◽  
D. Scott ◽  
M. Hensley
Keyword(s):  
Pancreatic Cancer ◽  
Clinical Trials ◽  
Advanced Pancreatic Cancer ◽  
Home Based

Patient-Centered Clinical Trials Decision Support Using Linked Open Data

2018 ◽  
pp. 1765-1782
Author(s):  
Bonnie MacKellar ◽  
Christina Schweikert ◽  
Soon Ae Chun
Keyword(s):  
Clinical Trial ◽  
Decision Making ◽  
Clinical Trials ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Linked Data ◽  
Open Data ◽  
Data Sources ◽  
Patient Centered

Patients often want to participate in relevant clinical trials for new or more effective alternative treatments. The clinical search system made available by the NIH is a step forward to support the patient's decision making, but, it is difficult to use and requires the patient to sift through lengthy text descriptions for relevant information. In addition, patients deciding whether to pursue a given trial often want more information, such as drug information. The authors' overall aim is to develop an intelligent patient-centered clinical trial decision support system. Their approach is to integrate Open Data sources related to clinical trials using the Semantic Web's Linked Data framework. The linked data representation, in terms of RDF triples, allows the development of a clinical trial knowledge base that includes entities from different open data sources and relationships among entities. The authors consider Open Data sources such as clinical trials provided by NIH as well as the drug side effects dataset SIDER. The authors use UMLS (Unified Medical Language System) to provide consistent semantics and ontological knowledge for clinical trial related entities and terms. The authors' semantic approach is a step toward a cognitive system that provides not only patient-centered integrated data search but also allows automated reasoning in search, analysis and decision making using the semantic relationships embedded in the Linked data. The authors present their integrated clinical trial knowledge base development and a prototype, patient-centered Clinical Trial Decision Support System that include capabilities of semantic search and query with reasoning ability, and semantic-link browsing where an exploration of one concept leads to other concepts easily via links which can provide visual search for the end users.

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