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Mitchell KM, Holtz BE, McCarroll A. Patient-Centered Methods for Designing and Developing Health Information Communication Technologies: A Systematic Review. Telemed J E Health 2019; 25:1012-1021. [PMID: 30576258 DOI: 10.1089/tmj.2018.0236] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Background: Chronic disease management and maintaining healthy behaviors to prevent disease are important lifelong considerations. Adherence to prescribed management and behaviors often falls short of physician recommendations, which can result in negative health outcomes. Information communication technologies (ICTs) offer an approach to combat this issue. However, uptake and sustainability of ICTs have mixed results. One reason could be that technologies are often created without an understanding of the complexities of patient needs. Therefore, the intent of this study is to explore the current landscape of patient-centered design and development of health ICTs through a systematic review. Materials and Methods: Systematic literature searches were conducted in the databases EBSCO, PubMed, and Web of Science between October 2016 and February 2017. Each paper was critically evaluated for each data extraction classification, and was categorized based on the chronic disease or health focus, method of patient-centered design, resulting themes, and use of theory. Results: The study search resulted in 3,748 articles total. After duplicates and articles not meeting criteria were removed, 57 articles were selected for assessment. Four main themes emerged: participant experience, technological requirements, behavioral and knowledge components, and social components. Conclusions: Adhering to chronic disease management and healthy behaviors are both crucial to attain positive health outcomes. ICTs can play an interesting role in aiding disease management and healthy behavior promotion, but involving end-users and applying a theoretical foundation in the design and development of these technologies should be considered.
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Affiliation(s)
- Katharine M Mitchell
- Department of Advertising and Public Relations, Michigan State University, East Lansing, Michigan
| | - Bree E Holtz
- Department of Advertising and Public Relations, Michigan State University, East Lansing, Michigan
| | - Alexis McCarroll
- Department of Media and Information, Michigan State University, East Lansing, Michigan
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Larentis AV, Barbosa DNF, da Silva CR, Barbosa JLV. Applied Computing to Education on Noncommunicable Chronic Diseases: A Systematic Mapping Study. Telemed J E Health 2019; 26:147-163. [PMID: 30807261 DOI: 10.1089/tmj.2018.0282] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: The number of deaths from noncommunicable chronic diseases (NCDs) has increased worldwide. These deaths would be partly avoidable if prevention and follow-up measures were applied to reduce risk factors. Computing can help educate individuals, improving their knowledge about NCDs. This article presents a systematic mapping of studies that apply computing to education on NCDs. The results allow a general view of the literature and the identification of research opportunities. Materials and Methods: The methodology followed three steps: (1) definition of search databases from computer science and health sciences, (2) selection of keywords for search string composition, and (3) application of inclusion and exclusion criteria to filter the results. The survey occurred from January 2008 to April 2018. Results: The initial search resulted in 19,675 papers, of which 38 were selected after applying the filter criteria. The use of mobile computing stood out in 25 papers. The education modalities were self-management and educational content for diabetes (10 papers), asthma (1), cardiovascular disease (1) and chronic diseases (1), self-management of diabetes and games (1), educational content (15), games (6), personalized content (2), and virtual community (1). The percentage of papers on diabetes was 65%. Most solutions (55%) do not use data from individuals to provide information considering their health condition. In addition, 19 papers produced outcome measures by means of experiments. Conclusions: Mobile computing was the most used technology in the papers. In addition, self-management, educational content, and games were the most used mechanisms. A research opportunity consists of personalized assistance. In this sense, ubiquitous learning can provide a continuous and contextualized education.
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Affiliation(s)
- Andrêsa Vargas Larentis
- Applied Computing Graduate Program, University of Vale do Rio dos Sinos, São Leopoldo, Brazil
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van der Molen P, Maas AH, Chen W, van Pul C, Cottaar EJ, van Riel NA, Hilbers PA, Haak HR. Identifying User Preferences for a Digital Educational Solution for Young Seniors With Diabetes. Diabetes Spectr 2017; 30:182-187. [PMID: 28848312 PMCID: PMC5556584 DOI: 10.2337/ds16-0023] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
The Eindhoven Diabetes Education Simulator project was initiated to develop an educational solution that helps diabetes patients understand and learn more about their diabetes. This article describes the identification of user preferences for the development of such solutions. Young seniors (aged 50-65 years) with type 2 diabetes were chosen as the target group because they are likely to have more affinity with digital devices than older people and because 88% of the Dutch diabetes population is >50 years of age. Data about the target group were gathered through literature research and interviews. The literature research covered data about their device use and education preferences. To gain insight into the daily life of diabetes patients and current diabetes education processes, 20 diabetes patients and 10 medical experts were interviewed. The interviews were analyzed using affinity diagrams. Those diagrams, together with the literature data, formed the basis for two personas and corresponding customer journey maps. Literature showed that diabetes prevalence is inversely correlated to educational level. Computer and device use is relatively low within the target group, but is growing. The interviews showed that young seniors like to play board, card, and computer games, with others or alone. Family and loved ones play an important role in their lives. Medical experts are crucial in the diabetes education of young senior diabetes patients. These findings are translated into a list of design aspects that can be used for creating educational solutions.
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Affiliation(s)
- Pieta van der Molen
- Department of Internal Medicine, Máxima Medical Center, Eindhoven, The Netherlands
- Department of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands
- Nedap Healthcare, Groenlo, The Netherlands
| | - Anne H. Maas
- Department of Internal Medicine, Máxima Medical Center, Eindhoven, The Netherlands
- Department of Applied Physics, Eindhoven University of Technology, Eindhoven, The Netherlands
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Wei Chen
- Center for Sensor Systems and Intelligent E-health (COSSIE), Shanghai Key Laboratory of Medical Imaging, Computing, and Computer-Assisted Intervention, Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai, China
| | - Carola van Pul
- Department of Clinical Physics, Máxima Medical Center, Eindhoven, The Netherlands
| | - Eduardus J.E. Cottaar
- Department of Applied Physics, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Natal A.W. van Riel
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Peter A.J. Hilbers
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Harm R. Haak
- Department of Internal Medicine, Máxima Medical Center, Eindhoven, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Health Services Research and CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
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