Specifying computer-based counseling systems in health care: A new approach to user-interface and interaction design

Herzberg, Dominikus; Marsden, Nicola; Kübler, Peter; Leonhardt, Corinna; Thomanek, Sabine; Jung, Hartmut; Becker, Annette

doi:10.1016/j.jbi.2008.10.005

Cited by 14 publications

(7 citation statements)

References 25 publications

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“…Many healthcare issues exist across different disciplines and sectors, dealing with heterogeneous user groups [ 35 , 95 ]. This is why Roberts et al [ 35 ] suggest radical collaboration as one of the vital aspects of DT for healthcare.…”

Section: Discussionmentioning

confidence: 99%

Technology-Supported Behavior Change—Applying Design Thinking to mHealth Application Development

Schweitzer,

Schlögl,

Schweitzer

2024

EJIHPE

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Non-communicable diseases are the leading cause of global deaths. The risk of their development and progression is increased by modifiable behavioral risk factors. Yet, despite the known benefits of primary and secondary prevention, people often do not follow recommendations for a healthier lifestyle. To this end, mobile health (mHealth) applications offer features for behavioral interventions. Yet, reported user engagement is often low. The objective of the work presented in this article is thus to evaluate the suitability of Design Thinking (DT) as a means to inform the development of an mHealth application that helps increase long-term engagement, and consequently supports individuals in sustainably changing their lifestyle. Applying the DT approach, key user needs and challenges were investigated and used to design a first low-fidelity mHealth application prototype. Think-Aloud analysis, task completion, and post-test interviews were then used to evaluate the prototype and generate early-stage insights. Subsequently, a structured, retrospective analysis of this process, evaluating the insight-generation potential of each step in the DT process cycle, was used to reflect on its suitability to inform mHealth application development. The respective results highlight (1) the distinct value of the DT method, particularly in the early stages of a development project; (2) the strong need for interdisciplinary collaboration in such projects, so as to capture realistic end-user requirements and improve the overall effectiveness of the application design; and (3) the significance of integrating behavioral change theories into the design of mHealth applications, in order to promote long-term engagement.

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Section: Discussionmentioning

confidence: 99%

Technology-Supported Behavior Change—Applying Design Thinking to mHealth Application Development

Schweitzer,

Schlögl,

Schweitzer

2024

EJIHPE

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“…While there are established procedures for design specifications in health technology [ 27 , 28 ], in this small-scale health development project, a simplified approach in which we enumerated system capabilities and used them to drive the initial prototyping was a useful starting point. Using the functionality requirement decisions described above, the prototype development began by identifying “use case scenarios”, which are detailed descriptions of how the system will be used in various settings and whether the design specifications are different under various clinical conditions.…”

Section: Methodsmentioning

confidence: 99%

Dietary Approaches to Stop Hypertension: Lessons Learned From a Case Study on the Development of an mHealth Behavior Change System

Mann¹,

Quintiliani²,

Reddy³

et al. 2014

JMIR mHealth uHealth

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BackgroundEvidence-based solutions for changing health behaviors exist but problems with feasibility, sustainability, and dissemination limit their impact on population-based behavior change and maintenance.ObjectiveOur goal was to overcome the limitations of an established behavior change program by using the inherent capabilities of smartphones and wireless sensors to develop a next generation mobile health (mHealth) intervention that has the potential to be more feasible.MethodsIn response to the clinical need and the growing capabilities of smartphones, our study team decided to develop a behavioral hypertension reduction mHealth system inspired by Dietary Approaches to Stop Hypertension (DASH), a lifestyle modification program. We outline the key design and development decisions that molded the project including decisions about behavior change best practices, coaching features, platform, multimedia content, wireless devices, data security, integration of systems, rapid prototyping, usability, funding mechanisms, and how all of these issues intersect with clinical research and behavioral trials.ResultsOver the 12 months, our study team faced many challenges to developing our prototype intervention. We describe 10 lessons learned that will ultimately stimulate more effective and sustainable approaches.ConclusionsThe experiences presented in this case study can be used as a reference for others developing mHealth behavioral intervention development projects by highlighting the benefits and challenges facing mHealth research.

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“…Ludwick and Doucette (2009) performed a study on the experiences of adopting the health information system in seven countries. Herzberg et al (2009) proposed an approach to user-interface and interaction design for specifying computer-based counselling systems in healthcare. This enabled the medical doctors to inform, motivate and challenge their patients according to a well-defined therapeutic goal.…”

Section: Related Workmentioning

confidence: 99%

A novel patient friendly IT enabled framework for selection of desired healthcare provider

Silas

Rajsingh

2019

IJMEI

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The healthcare providers have tremendously grown during the past decade. Selecting a healthcare provider based on patient's preference is really a great challenge. The purpose of this paper is to provide an IT enabled framework that will help the patients to find a suitable healthcare provider based on their preferences. The patients' preferences in selecting a healthcare provider differ based on their geographical region, gender, age and socioeconomic background. Discovering a set of feasible healthcare providers and selecting the most appropriate healthcare provider based on the patient preferences can be modelled as a multi-criteria decision making problem. In this article, a novel patient friendly framework is proposed for selecting the best healthcare provider. Even with a huge dataset, the results show that the proposed framework is robust, reliable, faster and effective. The analysis reveals that the number of preferences and the healthcare providers influence the healthcare selection time. Case studies on 500 patients from different geographical regions reveal that the proposed framework is effective.

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Specifying computer-based counseling systems in health care: A new approach to user-interface and interaction design

Cited by 14 publications

References 25 publications

Technology-Supported Behavior Change—Applying Design Thinking to mHealth Application Development

Technology-Supported Behavior Change—Applying Design Thinking to mHealth Application Development

Dietary Approaches to Stop Hypertension: Lessons Learned From a Case Study on the Development of an mHealth Behavior Change System

A novel patient friendly IT enabled framework for selection of desired healthcare provider

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