[HTML][HTML] Patient expectations and experiences of remote monitoring for chronic diseases: systematic review and thematic synthesis of qualitative studies

RC Walker, A Tong, K Howard, SC Palmer - International journal of medical …, 2019 - Elsevier
Objectives To describe the range of patients' beliefs, attitudes, expectations, and
experiences of remote monitoring for chronic conditions across different healthcare contexts …

Type 2 diabetes in Latin America and the Caribbean: Regional and country comparison on prevalence, trends, costs and expanded prevention

H Gallardo-Rincón, A Cantoral, A Arrieta, C Espinal… - Primary Care …, 2021 - Elsevier
Purpose To present an overview of type 2 diabetes status in Latin America and the
Caribbean region. Methods The data were collected from the International Diabetes …

Expectations and needs of patients with a chronic disease toward self-management and eHealth for self-management purposes

MWJ Huygens, J Vermeulen, ICS Swinkels… - BMC health services …, 2016 - Springer
Background Self-management is considered as an essential component of chronic care by
primary care professionals. eHealth is expected to play an important role in supporting …

[HTML][HTML] User-centered design process of an mHealth app for health professionals: Case study

AADNS Saparamadu, P Fernando, P Zeng… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background User-centered design processes are infrequently employed and not fully
explored for building mobile health (mHealth) apps that are particularly targeted to health …

[HTML][HTML] Health informatics to enhance the healthcare industry's culture: An extensive analysis of its features, contributions, applications and limitations

M Javaid, A Haleem, RP Singh - Informatics and Health, 2024 - Elsevier
Background Health informatics is a fast-growing area in the healthcare sector. It concerns
the technologies, tools, equipment, and procedures required to gather, store, retrieve, and …

Computational notebooks as co-design tools: engaging young adults living with diabetes, family carers, and clinicians with machine learning models

A Ayobi, J Hughes, CJ Duckworth, JJ Dylag… - Proceedings of the …, 2023 - dl.acm.org
Engaging end user groups with machine learning (ML) models can help align the design of
predictive systems with people's needs and expectations. We present a co-design study …
J Schaaf, M Sedlmayr, J Schaefer, H Storf - Orphanet journal of rare …, 2020 - Springer
Abstract Background Rare Diseases (RDs), which are defined as diseases affecting no more
than 5 out of 10,000 people, are often severe, chronic and life-threatening. A main problem …

[HTML][HTML] Co-designing opportunities for human-centred machine learning in supporting type 1 diabetes decision-making

K Stawarz, D Katz, A Ayobi, P Marshall… - International Journal of …, 2023 - Elsevier
Abstract Type 1 Diabetes (T1D) self-management requires hundreds of daily decisions.
Diabetes technologies that use machine learning have significant potential to simplify this …

Development of the IMB model and an evidence-based diabetes self-management mobile application

E Jeon, HA Park - Healthcare informatics research, 2018 - synapse.koreamed.org
Objectives This study developed a diabetes self-management mobile application based on
the information-motivation-behavioral skills (IMB) model, evidence extracted from clinical …