Developing Game-Based Design for eHealth in Practice: 4-Phase Game Design Process.

Background: Games are increasingly used in eHealth as a strategy for user engagement. There is an enormous diversity of end users and objectives targeted by eHealth. Hence, identifying game content that drives and sustains engagement is challenging.

Technology-supported shared decision-making in chronic conditions: A systematic review of randomized controlled trials.

Objectives: To describe the role of patients with a chronic disease, healthcare professionals (HCPs) and technology in shared decision making (SDM) and the use of clinical decision support systems (CDSSs), and to evaluate the effectiveness of SDM and CDSSs interventions.

Methods: Randomized controlled studies published between 2011 and 2021 were identified and screened independently by two reviewers, followed by data extraction and analysis. SDM elements and interactive styles were identified to shape the roles of patients, HCPs and technology.

A Digital Coach (E-Supporter 1.0) to Support Physical Activity and a Healthy Diet in People With Type 2 Diabetes: Acceptability and Limited Efficacy Testing.

Background: A healthy lifestyle, including regular physical activity and a healthy diet, is increasingly part of type 2 diabetes (T2D) management. As many people with T2D have difficulty living and maintaining a healthy lifestyle, there is a need for effective interventions. eHealth interventions that incorporate behavior change theories and tailoring are considered effective tools for supporting a healthy lifestyle.

A Digital Lifestyle Coach (E-Supporter 1.0) to Support People With Type 2 Diabetes: Participatory Development Study.

Background: A healthy lifestyle, including regular physical activity and a healthy diet, is becoming increasingly important in the treatment of chronic diseases. eHealth interventions that incorporate behavior change techniques (BCTs) and dynamic tailoring strategies could effectively support a healthy lifestyle. E-Supporter 1.

Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes.

Background: Patient-reported outcome measurements (PROMs) are commonly used in clinical practice to support clinical decision making. However, few studies have investigated machine learning methods for predicting PROMs outcomes and thereby support clinical decision making.

Objective: This study investigates to what extent different machine learning methods, applied to two different PROMs datasets, can predict outcomes among patients with non-specific neck and/or low back pain.

Factors used by general practitioners for referring patients with chronic musculoskeletal pain: a qualitative study.

Around 20% of the Dutch population is living with chronic musculoskeletal pain (CMP), which is a complex and multifactorial problem. This complexity makes it hard to define a classification system, which results in non-satisfactory referring from the general practitioner (GP). CMP is often explained using the biopsychosocial model in which biological, psychological and social factors cause and maintain the pain.

Night to night variability of pulse oximetry features in children at home and at the hospital.

. Investigation of the night-to-night (NtN) variability of pulse oximetry features in children with suspicion of Sleep Apnea..

Lessons Learned From a Living Lab on the Broad Adoption of eHealth in Primary Health Care.

Background: Electronic health (eHealth) solutions are considered to relieve current and future pressure on the sustainability of primary health care systems. However, evidence of the effectiveness of eHealth in daily practice is missing. Furthermore, eHealth solutions are often not implemented structurally after a pilot phase, even if successful during this phase.

Evaluation of three machine learning models for self-referral decision support on low back pain in primary care.

Background: Most people experience low back pain (LBP) at least once in their life and for some patients this evolves into a chronic condition. One way to prevent acute LBP from transiting into chronic LBP, is to ensure that patients receive the right interventions at the right moment. We started research in the design of a clinical decision support system (CDSS) to support patients with LBP in their self-referral to primary care.

Advancing Telemedicine Services for the Aging Population: The challenge of Interoperability.

We reflect on our experiences in two projects in which we developed interoperable telemedicine applications for the aging population. While technically data exchange could be implemented technically, uptake was impeded by a lack of working procedures. We argue that development of interoperable health technology for the aging population should go accompanied by a thorough study into working protocols by consulting all end-users and stakeholders.

A web-based communication system for integrated care in cerebral palsy: design features, technical feasibility and usability.

We developed a secure, web-based system for parent-professional and inter-professional communication. The aim was to improve communication in the care of children with cerebral palsy. We conducted a six-month trial of the system in three Dutch health-care regions.

Tele-treatment of patients with amyotrophic lateral sclerosis (ALS).

Management of patients with amyotrophic lateral sclerosis (ALS) mainly consists of (psycho) social support and advice on activities of daily living. We evaluated the effects of tele-treatment in addition to the conventional method of care in four patients with ALS. A Web application was built with information about ALS and a link to the tele-treatment environment.