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King K, McGuinness S, Watson N, Norton C, Chalder T, Czuber-Dochan W. What Do We Know about Medication Adherence Interventions in Inflammatory Bowel Disease, Multiple Sclerosis and Rheumatoid Arthritis? A Scoping Review of Randomised Controlled Trials. Patient Prefer Adherence 2023; 17:3265-3303. [PMID: 38111690 PMCID: PMC10725835 DOI: 10.2147/ppa.s424024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 09/13/2023] [Indexed: 12/20/2023] Open
Abstract
Purpose Between 53% and 75% of people with inflammatory bowel disease, 30%-80% with rheumatoid arthritis, and up to 50% with multiple sclerosis do not take medications as prescribed to maintain remission. This scoping review aimed to identify effective adherence interventions for inflammatory bowel disease, but with few studies found, multiple sclerosis and rheumatoid arthritis were included to learn lessons from other conditions. Methods Full and pilot randomised controlled trials testing medication adherence interventions for inflammatory bowel disease, multiple sclerosis, and rheumatoid arthritis conducted between 2012 and 2021 were identified in six electronic databases. Results A total of 3024 participants were included from 24 randomised controlled trials: 10 pilot and 14 full studies. Eight investigated inflammatory bowel disease, 12 rheumatoid arthritis, and four multiple sclerosis. Nine studies (37.5%) reported significantly improved medication adherence, all involving tailored, personalised education, advice or counselling by trained health professionals, with five delivered face-to-face and 1:1. Quality of effective interventions was mixed: five rated high quality, two medium and two low quality. Interventions predominantly using technology were likely to be most effective. Secondary tools, such as diaries, calendars and advice sheets, were also efficient in increasing adherence. Only 10 interventions were based on an adherence theory, of which four significantly improved adherence. Conclusion Tailored, face-to-face, 1:1 interactions with healthcare professionals were successful at providing personalised adherence support. Accessible, user-friendly technology-based tools supported by calendars and reminders effectively enhanced adherence. Key components of effective interventions should be evaluated and integrated further into clinical practice if viable, whilst being tailored to inflammatory conditions.
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Affiliation(s)
- Kathryn King
- Florence Nightingale Faculty Nursing, Midwifery and Palliative Care, King’s College London, London, UK
| | - Serena McGuinness
- Florence Nightingale Faculty Nursing, Midwifery and Palliative Care, King’s College London, London, UK
| | - Natalie Watson
- Florence Nightingale Faculty Nursing, Midwifery and Palliative Care, King’s College London, London, UK
| | - Christine Norton
- Florence Nightingale Faculty Nursing, Midwifery and Palliative Care, King’s College London, London, UK
| | - Trudie Chalder
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Wladyslawa Czuber-Dochan
- Florence Nightingale Faculty Nursing, Midwifery and Palliative Care, King’s College London, London, UK
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Chan A, Cohen R, Robinson KM, Bhardwaj D, Gregson G, Jutai JW, Millar J, Ríos Rincón A, Roshan Fekr A. Evidence and User Considerations of Home Health Monitoring for Older Adults: Scoping Review. JMIR Aging 2022; 5:e40079. [PMID: 36441572 PMCID: PMC9745651 DOI: 10.2196/40079] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 10/03/2022] [Accepted: 10/10/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Home health monitoring shows promise in improving health outcomes; however, navigating the literature remains challenging given the breadth of evidence. There is a need to summarize the effectiveness of monitoring across health domains and identify gaps in the literature. In addition, ethical and user-centered frameworks are important to maximize the acceptability of health monitoring technologies. OBJECTIVE This review aimed to summarize the clinical evidence on home-based health monitoring through a scoping review and outline ethical and user concerns and discuss the challenges of the current user-oriented conceptual frameworks. METHODS A total of 2 literature reviews were conducted. We conducted a scoping review of systematic reviews in Scopus, MEDLINE, Embase, and CINAHL in July 2021. We included reviews examining the effectiveness of home-based health monitoring in older adults. The exclusion criteria included reviews with no clinical outcomes and lack of monitoring interventions (mobile health, telephone, video interventions, virtual reality, and robots). We conducted a quality assessment using the Assessment of Multiple Systematic Reviews (AMSTAR-2). We organized the outcomes by disease and summarized the type of outcomes as positive, inconclusive, or negative. Second, we conducted a literature review including both systematic reviews and original articles to identify ethical concerns and user-centered frameworks for smart home technology. The search was halted after saturation of the basic themes presented. RESULTS The scoping review found 822 systematic reviews, of which 94 (11%) were included and of those, 23 (24%) were of medium or high quality. Of these 23 studies, monitoring for heart failure or chronic obstructive pulmonary disease reduced exacerbations (4/7, 57%) and hospitalizations (5/6, 83%); improved hemoglobin A1c (1/2, 50%); improved safety for older adults at home and detected changing cognitive status (2/3, 66%) reviews; and improved physical activity, motor control in stroke, and pain in arthritis in (3/3, 100%) rehabilitation studies. The second literature review on ethics and user-centered frameworks found 19 papers focused on ethical concerns, with privacy (12/19, 63%), autonomy (12/19, 63%), and control (10/19, 53%) being the most common. An additional 7 user-centered frameworks were studied. CONCLUSIONS Home health monitoring can improve health outcomes in heart failure, chronic obstructive pulmonary disease, and diabetes and increase physical activity, although review quality and consistency were limited. Long-term generalized monitoring has the least amount of evidence and requires further study. The concept of trade-offs between technology usefulness and acceptability is critical to consider, as older adults have a hierarchy of concerns. Implementing user-oriented frameworks can allow long-term and larger studies to be conducted to improve the evidence base for monitoring and increase the receptiveness of clinicians, policy makers, and end users.
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Affiliation(s)
- Andrew Chan
- Faculty of Rehabilitation Medicine, Department of Occupational Therapy, University of Alberta, Edmonton, AB, Canada
- Innovation and Technology Hub, Glenrose Rehabilitation Research, Edmonton, AB, Canada
| | - Rachel Cohen
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Katherine-Marie Robinson
- School of Engineering Design and Teaching Innovation, Faculty of Engineering, University of Ottawa, Ottawa, ON, Canada
- Department of Philosophy, Faculty of Arts, University of Ottawa, Ottawa, ON, Canada
| | - Devvrat Bhardwaj
- Department of Electrical Engineering and Computer Science, Faculty of Engineering, University of Ottawa, Ottawa, ON, Canada
| | - Geoffrey Gregson
- Faculty of Rehabilitation Medicine, Department of Occupational Therapy, University of Alberta, Edmonton, AB, Canada
- Innovation and Technology Hub, Glenrose Rehabilitation Research, Edmonton, AB, Canada
| | - Jeffrey W Jutai
- Interdisciplinary School of Health Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
- LIFE Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Jason Millar
- School of Engineering Design and Teaching Innovation, Faculty of Engineering, University of Ottawa, Ottawa, ON, Canada
- Department of Philosophy, Faculty of Arts, University of Ottawa, Ottawa, ON, Canada
| | - Adriana Ríos Rincón
- Faculty of Rehabilitation Medicine, Department of Occupational Therapy, University of Alberta, Edmonton, AB, Canada
- Innovation and Technology Hub, Glenrose Rehabilitation Research, Edmonton, AB, Canada
| | - Atena Roshan Fekr
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
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Mason M, Cho Y, Rayo J, Gong Y, Harris M, Jiang Y. Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review. JMIR Mhealth Uhealth 2022; 10:e35157. [PMID: 35266873 PMCID: PMC8949687 DOI: 10.2196/35157] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/23/2022] [Accepted: 01/28/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Accurate measurement and monitoring of patient medication adherence is a global challenge because of the absence of gold standard methods for adherence measurement. Recent attention has been directed toward the adoption of technologies for medication adherence monitoring, as they provide the opportunity for continuous tracking of individual medication adherence behavior. However, current medication adherence monitoring technologies vary according to their technical features and data capture methods, leading to differences in their respective advantages and limitations. Overall, appropriate criteria to guide the assessment of medication adherence monitoring technologies for optimal adoption and use are lacking. OBJECTIVE This study aims to provide a narrative review of current medication adherence monitoring technologies and propose a set of technology assessment criteria to support technology development and adoption. METHODS A literature search was conducted on PubMed, Scopus, CINAHL, and ProQuest Technology Collection (2010-present) 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, data capture methods, and potential advantages and limitations of the identified technology applications were extracted. Methods for using data for adherence monitoring were also identified. Common recurring elements were synthesized as potential technology assessment criteria. RESULTS Of the 3865 articles retrieved, 98 (2.54%) were included in the final review, which reported a variety of technology applications for monitoring medication adherence, including electronic pill bottles or boxes, ingestible sensors, electronic medication management systems, blister pack technology, patient self-report technology, video-based technology, and motion sensor technology. Technical features varied by technology type, with common expectations for using these technologies to accurately monitor medication adherence and increase adoption in patients' daily lives owing to their unobtrusiveness and convenience of use. Most technologies were able to provide real-time monitoring of medication-taking behaviors but relied on proxy measures of medication adherence. Successful implementation of these technologies in clinical settings has rarely been reported. In all, 28 technology assessment criteria were identified and organized into the following five categories: development information, technology features, adherence to data collection and management, feasibility and implementation, and acceptability and usability. CONCLUSIONS This narrative review summarizes the technical features, data capture methods, and various advantages and limitations of medication adherence monitoring technology reported in the literature and the proposed criteria for assessing medication adherence monitoring technologies. This collection of assessment criteria can be a useful tool to guide the development and selection of relevant technologies, facilitating the optimal adoption and effective use of technology to improve medication adherence outcomes. Future studies are needed to further validate the medication adherence monitoring technology assessment criteria and construct an appropriate technology assessment framework.
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Affiliation(s)
- Madilyn Mason
- School of Nursing, University of Michigan, Ann Arbor, MI, United States
| | - Youmin Cho
- School of Nursing, University of Michigan, Ann Arbor, MI, United States
| | - Jessica Rayo
- School of Nursing, University of Michigan, Ann Arbor, MI, United States
| | - Yang Gong
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Marcelline Harris
- School of Nursing, University of Michigan, Ann Arbor, MI, United States
| | - Yun Jiang
- School of Nursing, University of Michigan, Ann Arbor, MI, United States
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Klonoff DC, Zhang JY, Shang T, Mehta C, Kerr D. Pharmacoadherence: An Opportunity for Digital Health to Inform the Third Dimension of Pharmacotherapy for Diabetes. J Diabetes Sci Technol 2021; 15:177-183. [PMID: 33289578 PMCID: PMC7783015 DOI: 10.1177/1932296820973185] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The basis of pharmacotherapy requires knowledge of two properties of a drug: pharmacokinetics (PK) and pharmacodynamics (PD). In the era of precision medicine, there is growing interest in determining between-individual variations in PK and PD. While these two dimensions of pharmacotherapy are key foci of investigation, a third property is also emerging as a critical factor in understanding how a drug affects an individual. This third property of a drug is known as phamacoadherence (PA). There can be wide variation in PA among people with diabetes, whether they are using oral or injectable medications. The use of new digital health interventions and telehealth communication tools, such as smart insulin pens, is now creating opportunities for health care professionals to have a more complete understanding of the PA of drugs, which allows for more personalized prescribing practices.
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Affiliation(s)
| | | | - Trisha Shang
- Diabetes Technology Society, Burlingame, CA, USA
| | - Chhavi Mehta
- Mills-Peninsula Medical Center, San Mateo, CA, USA
| | - David Kerr
- Sansum Diabetes Research Institute, Santa Barbara, CA, USA
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