Developing a model for understanding patient collection of observations of daily living: a qualitative meta-synthesis of the Project HealthDesign program

Cohen, Deborah J.; Keller, Sara; Hayes, Gillian R.; Dorr, David A.; Ash, Joan S.; Sittig, Dean F.

doi:10.1007/s00779-014-0804-1

Cited by 16 publications

(19 citation statements)

References 38 publications

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“…Lived Informatics describes a process model, again outside of health, which features the iterative paths of repeated collection and lapsing/resuming the process [7]. Another model focuses on patients tracking information for healthcare professionals, which focuses on the motivations and barriers which patients go through to collect observations of daily living [5].…”

Section: The Process Of Tracking Personal Informationmentioning

confidence: 99%

“…We based our conception of the Personal Health Informatics process on models previously proposed [1,5,7,12]. Our new model consolidates these models and comprises six stages ( Figure 1).…”

Section: A Process Model For Phimentioning

confidence: 99%

“…[4,5]). For personal health information, it has been shown that intentions such as to cure a condition, achieve a goal, find triggers, identify relationships, and execute a treatment plan are important [4].…”

Section: Intentionmentioning

confidence: 99%

“…After forming an intention to collect data, users identify appropriate type(s) of information to collect [12], the frequency of collection, and what tools to use [5,16]. In the context of personal health information, we know that individuals consider the features available on the tool [17], the ease of use [5], and the visibility of the tracking toolparticularly when considering societal perceptions or personal confidence [16].…”

Section: Identificationmentioning

confidence: 99%

“…Many people living with a chronic disease are able to selfmanage through a process called Personal Health Informatics (PHI), in which individuals collect data about themselves and reflect on those data to gain a deeper understanding of their behavior, drawing valuable insights related to their health [4,5,8]. PHI is untied to hospital electronic health records; this is in contrast to telehealth, which focuses on the exchange of data between clinician and patient for use in diagnosis and treatment.…”

Section: Introductionmentioning

confidence: 99%

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It Feels Like I'm Managing Myself

Bussone

Stumpf

Buchanan

2016

Proceedings of the 9th Nordic Conference on Human-Computer Interaction

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Nearly 37 million people live with HIV globally and recent advances in medicine have transformed HIV to a chronic disease, if managed. Previous research in Personal Health Informatics has investigated how people self-manage other chronic conditions, such as diabetes, by tracking and reflecting on their health information but there is little knowledge of how people do so for complex and socially stigmatized diseases like HIV. A better understanding of their specialized needs could lead to the development of more appropriate tools to self-manage their condition. Our paper introduces an iterative process model of Personal Health Informatics. We then describe the results of an empirical study involving HIV+ adults aimed at understanding their issues, concerns and actions in each of the stages of this process model. We provide implications for the design of personal informatics tools and open research directions that can lead to better self-management for people living with HIV.

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Section: The Process Of Tracking Personal Informationmentioning

confidence: 99%

“…We based our conception of the Personal Health Informatics process on models previously proposed [1,5,7,12]. Our new model consolidates these models and comprises six stages ( Figure 1).…”

Section: A Process Model For Phimentioning

confidence: 99%

Section: Intentionmentioning

confidence: 99%

Section: Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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It Feels Like I'm Managing Myself

Bussone

Stumpf

Buchanan

2016

Proceedings of the 9th Nordic Conference on Human-Computer Interaction

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Evaluation of Informative Content of Health Data Submitted Through a Mobile Serious Game

Peters

Bührer

Silbernagl

et al. 2019

Entertainment Computing and Serious Games

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In the presented study, the informative content of health data of a handwritten health diary was compared with health data submitted through a serious game. Physicians are able to derive a better and more complete health status of patients with higher informative content in health reports. The serious game was implemented in the project Interacct, in which patients submit health data through a mobile app on a daily basis to receive in-game rewards. The main hypothesis is, that the informative content of health data, which was submitted through a serious game, is higher than the informative content of hand written health diaries. Statistical results confirm this hypothesis significantly. This is especially important for young and adolescent cancer patients, where the results were even more conclusive than in the control group of students. Considering positive side effects of the serious game (such as high engagement, compliance and pleasure reporting health data through a serious game), the proposition of the authors is to conduct further studies and experiments regarding this topic.

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Patient portals and health apps: Pitfalls, promises, and what one might learn from the other

et al. 2017

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Widespread use of health information technology (IT) could potentially increase patients' access to their health information and facilitate future goals of advancing patient-centered care. Despite having increased access to their health data, patients do not always understand this information or its implications, and digital health data can be difficult to navigate when displayed in a small-format, complex interface. In this paper, we discuss two forms of patient-facing health IT tools-patient portals and applications (apps)-and highlight how, despite several limitations of each, combining high-yield features of mobile health (mHealth) apps with portals could increase patient engagement and self-management and be more effective than either of them alone. Patient portal adoption is variable, and due to design and interface limitations and health literacy issues, many people find the portal difficult to use. Conversely, apps have experienced rapid adoption and traditionally have more consumer-friendly features with easy log-in access, real-time tracking, and simplified data display. These features make the applications more intuitive and easy-to-use than patient portals. While apps have their own limitations and might serve different purposes, patient portals could adopt some high-yield features and functions of apps that lead to engagement success with patients. We thus suggest that to improve user experience with future portals, developers could look towards mHealth apps in design, function, and user interface. Adding new features to portals may improve their use and empower patients to track their overall health and disease states. Nevertheless, both these health IT tools should be subjected to rigorous evaluation to ensure they meet their potential in improving patient outcomes.

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Developing a model for understanding patient collection of observations of daily living: a qualitative meta-synthesis of the Project HealthDesign program

Cited by 16 publications

References 38 publications

It Feels Like I'm Managing Myself

It Feels Like I'm Managing Myself

Evaluation of Informative Content of Health Data Submitted Through a Mobile Serious Game

Patient portals and health apps: Pitfalls, promises, and what one might learn from the other

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