Experiences Using Mobile Phones as Patient-Terminal for Telemedical Home Care and Therapy Monitoring of Patients Suffering from Chronic Diseases

Pinsker, M. Craig; Schindler, Karin; Morak, Jürgen; Hayn, Dieter; Kästner, Peter; Riedl, Michaela; Ludvik, Bernhard; Schreier, Günter

doi:10.1007/978-3-540-70540-6_195

Cited by 10 publications

(12 citation statements)

References 7 publications

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“…For instance, inhibiting specific activities or forcing self-care tasks in patients' everyday lives was commonly mentioned in the studies. [Farzanfar et al 2007;Pinsker et al 2008;Preuveneers and Berbers 2008;Kilbourn 2010;Yun et al 2010;Craven et al 2013;Grönvall and Verdezoto 2013a; Underlying assumption: technology can play a key role in self-care.…”

Section: Chronic Conditions Approachedmentioning

confidence: 99%

Self-Care Technologies in HCI

Nunes

Verdezoto

Fitzpatrick

et al. 2015

ACM Trans. Comput.-Hum. Interact.

188

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Many studies show that self-care technologies can support patients with chronic conditions and their carers in understanding the ill body and increasing control of their condition. However, many of these studies have largely privileged a medical perspective and thus overlooked how patients and carers integrate selfcare into their daily lives and mediate their conditions through technology. In this review, we focus on how patients and carers use and experience self-care technology through a Human-Computer Interaction (HCI) lens. We analyse studies of self-care published in key HCI journals and conferences using the Grounded Theory Literature Review (GTLR) method and identify research trends and design tensions. We then draw out opportunities for advancing HCI research in self-care, namely, focusing further on patients' everyday life experience, considering existing collaborations in self-care, and increasing the influence on medical research and practice around self-care technology. CCS Concepts: r Applied computing → Consumer health; r Human-centered computing → Interaction design process and methods; HCI theory, concepts and models;

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Section: Chronic Conditions Approachedmentioning

confidence: 99%

Self-Care Technologies in HCI

Nunes

Verdezoto

Fitzpatrick

et al. 2015

ACM Trans. Comput.-Hum. Interact.

188

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“…Self-monitoring was also a central feature found in nearly all studies (27/32, 84%). It comprised the use of self-measurement devices to register and report health data, such as blood pressures [ 33 , 34 , 36 , 61 , 64 ], blood glucose levels [ 35 , 53 , 57 , 64 , 65 ], or physical activity [ 36 , 52 ]; self-assessments of symptoms or problems; self-reported health statuses or activities; self-reported medication adherence or side effects; and diaries for personal notes. When health parameters were not measured using external devices, self-monitoring was mostly facilitated through structured data input based on predefined forms.…”

Section: Resultsmentioning

confidence: 99%

Digital Health Technologies Enabling Partnerships in Chronic Care Management: Scoping Review

Wannheden¹,

Åberg-Wennerholm²,

Dahlberg³

et al. 2022

J Med Internet Res

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Background An increasing number of patients expect and want to play a greater role in their treatment and care decisions. This emphasizes the need to adopt collaborative health care practices, which implies collaboration among interprofessional health care teams and patients, their families, caregivers, and communities. In recent years, digital health technologies that support self-care and collaboration between the community and health care providers (ie, participatory health technologies) have received increasing attention. However, knowledge regarding the features of such technologies that support effective patient-professional partnerships is still limited. Objective This study aimed to map and assess published studies on participatory health technologies intended to support partnerships among patients, caregivers, and health care professionals in chronic care, focusing specifically on identifying the main features of these technologies. Methods A scoping review covering scientific publications in English between January 2008 and December 2020 was performed. We searched PubMed and Web of Science databases. Peer-reviewed qualitative, quantitative, and mixed methods studies that evaluated digital health technologies for patient-professional partnerships in chronic care settings were included. The data were charted and analyzed thematically. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist was used. Results This review included 32 studies, reported in 34 papers. The topic of participatory health technologies experienced a slightly increasing trend across publication years, with most papers originating from the United States and Norway. Diabetes and cardiovascular diseases were the most common conditions addressed. Of the 32 studies, 12 (38%) evaluated the influence of participatory health technologies on partnerships, mostly with positive outcomes, although we also identified how partnership relationships and the nature of collaborative work could be challenged when the roles and expectations between users were unclear. Six common features of participatory health technologies were identified: patient-professional communication, self-monitoring, tailored self-care support, self-care education, care planning, and community forums for peer-to-peer interactions. Conclusions Our findings emphasize the importance of clarifying mutual expectations and carefully considering the implications that the introduction of participatory health technologies may have on the work of patients and health care professionals, both individually and in collaboration. A knowledge gap remains regarding the use of participatory health technologies to effectively support patient-professional partnerships in chronic care management.

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“…Next, we describe some of them to show how these have helped in chronic patient care. This is the case of studies performed by Kollmann and Pinsker [ 5 , 6 ] who developed different applications to treat diabetes. In them, the patient, through the mobile app, introduces diabetes-related data and this information is sent directly to a data center, where it is stored and processed to generate graphs, trends, reminders and other messages.…”

Section: Introductionmentioning

confidence: 99%

Monitoring-Based Model for Personalizing the Clinical Process of Crohn’s Disease

Ramón-Fernández

Ruiz-Fernández

Marcos-Jorquera

et al. 2017

Sensors

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Crohn’s disease is a chronic pathology belonging to the group of inflammatory bowel diseases. Patients suffering from Crohn’s disease must be supervised by a medical specialist for the rest of their lives; furthermore, each patient has its own characteristics and is affected by the disease in a different way, so health recommendations and treatments cannot be generalized and should be individualized for a specific patient. To achieve this personalization in a cost-effective way using technology, we propose a model based on different information flows: control, personalization, and monitoring. As a result of the model and to perform a functional validation, an architecture based on services and a prototype of the system has been defined. In this prototype, a set of different devices and technologies to monitor variables from patients and their environment has been integrated. Artificial intelligence algorithms are also included to reduce the workload related to the review and analysis of the information gathered. Due to the continuous and automated monitoring of the Crohn’s patient, this proposal can help in the personalization of the Crohn’s disease clinical process.

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Experiences Using Mobile Phones as Patient-Terminal for Telemedical Home Care and Therapy Monitoring of Patients Suffering from Chronic Diseases

Cited by 10 publications

References 7 publications

Self-Care Technologies in HCI

Self-Care Technologies in HCI

Digital Health Technologies Enabling Partnerships in Chronic Care Management: Scoping Review

Monitoring-Based Model for Personalizing the Clinical Process of Crohn’s Disease

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