Applying Personal Health Informatics to Create Effective Patient-Centered E-Health

2011 ◽  
pp. 1800-1811
Author(s):  
E. Vance Wilson

E-health use is increasing worldwide, but no current e-health paradigm fulfills the complete range of users’ needs for Web-enabled healthcare services. Moreover, a number of obstacles exist that could make it difficult for e-health to meet users’ expectations, especially in the case where the users are patients. These dilemmas cloud the future of e-health, as promoters of e-commerce, personal health records, and consumer health informatics paradigms vie to create e-health applications while being hampered by the implicit constraints of each perspective. This chapter presents an alternative approach for designing and developing e-health titled personal health informatics (PHI). PHI was developed to overcome the limitations of preceding paradigms while incorporating their best features. The chapter goes on to describe how PHI can be applied to create effective patient-centered e-health for delivery by healthcare organizations to their own patients.

Author(s):  
E. Vance Wilson

E-health use is increasing worldwide, but no current e-health paradigm fulfills the complete range of users’ needs for Web-enabled healthcare services. Moreover, a number of obstacles exist that could make it difficult for e-health to meet users’ expectations, especially in the case where the users are patients. These dilemmas cloud the future of e-health, as promoters of e-commerce, personal health records, and consumer health informatics paradigms vie to create e-health applications while being hampered by the implicit constraints of each perspective. This chapter presents an alternative approach for designing and developing e-health titled personal health informatics (PHI). PHI was developed to overcome the limitations of preceding paradigms while incorporating their best features. The chapter goes on to describe how PHI can be applied to create effective patient-centered e-health for delivery by healthcare organizations to their own patients.


2011 ◽  
pp. 342-349
Author(s):  
E. Vance Wilson

E-health use is increasing worldwide, but no current e-health paradigm fulfills the complete range of user needs for online health services. This dilemma clouds a number of issues surrounding e-health, as promoters of e-commerce, personal health records, and consumer health informatics paradigms attempt to create encompassing e-health within the constraints of each unique perspective. In the long term, the most important of these issues may be the need to develop an e-health pedagogy that offers conceptual grounding and course curricula in order to effectively represent all facets of e-health. To address that issue, this article introduces a personal health informatics (PHI) paradigm that incorporates the best features of preceding paradigms by integrating informatics, personal, and healthcare perspectives. Drawing from PHI, a pedagogical framework is proposed to guide instruction in the design and development of encompassing e-health.


Author(s):  
Benjamin Abaidoo ◽  
Benjamin Teye Larweh

Background: There is a growing interest concerning the potential of ICT solutions that are customized to consumers. This emerging discipline referred to as consumer health informatics (CHI) plays a major role in providing information to patients and the public, and facilitates the promotion of self-management.The concept of CHI has emerged out of the desire of most patients to shoulder responsibilities regarding their health and a growing desire of health practitioners to fully appreciate the potential of the patient.Aim: To describe the role of ICT in improving the patient-provider partnership in consumer health informatics.Methods: Systematic reviewing of literature, identification of reference sources and formulation of search strategies and manual search regarding the significance of developed CHI applications in healthcare delivery.Results: New consumer health IT applications have been developed to be used on a variety of different platforms, including the Web, messaging systems, PDAs, and cell phones. These applications assists patients with self-management through reminders and prompts, delivery of real-time data on a patient’s health condition to patients and providers, web-based communication and personal electronic health information.Conclusion: New tools are being developed for the purposes of providing information to patients and the public which has enhanced decision making in health matters and an avenue for clinicians and consumers to exchange health information for personal and public use. This calls for corroboration among healthcare organizations, governments and the ICT industry to develop new research and IT innovations which are tailored to the health needs of the consumer.


2020 ◽  
Vol 26 (4) ◽  
pp. 2877-2891
Author(s):  
John Maleyeff ◽  
Danrong Chen

A consumer health informatics approach is used to investigate the development of a patient-centered decision support system (DSS) with individualized utility functions. It supports medical decisions that have uncertain benefits and potential harms. Its use for accepting or declining cancer screening is illustrated. The system’s underlying optimization model incorporates two user-specific utility functions—one that quantifies life-saving benefits and one that quantifies harms, such as unnecessary follow-up tests, surgeries, or treatments. The system requires sound decision making. Therefore, the decision making process was studied using a decision aid in the form of a color-coded matrix with the potential outcomes randomly placed in proportion to their likelihoods. Data were collected from 48 study participants, based on a central composite experimental design. The results show that the DSS can be effective, but health consumers may not be rational decision makers.


2014 ◽  
Vol 22 (1) ◽  
pp. 2-10 ◽  
Author(s):  
Rupa S Valdez ◽  
Richard J Holden ◽  
Laurie L Novak ◽  
Tiffany C Veinot

Abstract Designing patient-centered consumer health informatics (CHI) applications requires understanding and creating alignment with patients’ and their family members’ health-related activities, referred to here as ‘patient work’. A patient work approach to CHI draws on medical social science and human factors engineering models and simultaneously attends to patients, their family members, activities, and context. A patient work approach extends existing approaches to CHI design that are responsive to patients’ biomedical realities and personal skills and behaviors. It focuses on the embeddedness of patients’ health management in larger processes and contexts and prioritizes patients’ perspectives on illness management. Future research is required to advance (1) theories of patient work, (2) methods for assessing patient work, and (3) techniques for translating knowledge of patient work into CHI application design. Advancing a patient work approach within CHI is integral to developing and deploying consumer-facing technologies that are integrated with patients’ everyday lives.


2018 ◽  
Vol 27 (01) ◽  
pp. 163-169 ◽  
Author(s):  
Pascal Staccini ◽  
Annie Lau ◽  

Objective: To summarize the state of the art during the year 2017 in consumer health informatics and education, with a special emphasis on sharing health data and accessing personal health information (PHI) from patients' and consumers' perspective. Methods: We conducted a systematic search of articles published in PubMed using a predefined set of queries which identified 228 potential articles for review. The section editors then screened these articles according to topic relevance and selected 15 candidate best papers for full review and scoring by a panel of international experts. Based on the scores and the reviews, four papers received the highest score and were selected in a consensus meeting as the best papers on health data access and sharing from consumers' and patients' perspective. Results: These four papers were categorised into the following topics: 1) data sharing for research and governance in privacy protection; 2) use of personal health information and individual privacy concerns; and 3) consumers' views and demographic characteristics regarding health data sharing and the use of digital health portals. Overall, it was surprising to see only a small number of papers reporting original research in this area. Conclusions: Patients understand the need for sharing information to facilitate best care and to enrich biomedical knowledge. When confronted with the reality of accessing information systems for their own information, patients are concerned about usability as well as privacy. Overall, there is a need for more emphasis on: 1) considering privacy as a feature defined by design; 2) using specific consent approaches and data sharing mechanisms for recruiting clinical trial participants; 3) taking into account socio-demographic characteristics when promoting consumer access to personal health information; and 4) defining indicators of high-quality care to incorporate healthcare professionals' level of caution when accessing patients' medical information and fostering patient trust in data exchange. Ultimately, privacy mechanisms should be part of the design process and not only be implemented when security has been breached and violated.


2020 ◽  
Author(s):  
Catherine Arnott Smith ◽  
Deahan Yu ◽  
Juan Fernando Maestre ◽  
Uba Backonja ◽  
Andrew Boyd ◽  
...  

BACKGROUND Informatics tools for consumers and patients are important vehicles for facilitating engagement, and the field of consumer health informatics is an key space for exploring the potential of these tools. To understand research findings in this complex and heterogeneous field, a scoping review can help not only to identify, but to bridge, the array of diverse disciplines and publication venues involved. OBJECTIVE The goal of this systematic scoping review was to characterize the extent; range; and nature of research activity in consumer health informatics, focusing on the contributing disciplines of informatics; information science; and engineering. METHODS Four electronic databases (Compendex, LISTA, Library Literature, and INSPEC) were searched for published studies dating from January 1, 2008, to June 1, 2015. Our inclusion criteria specified that they be English-language articles describing empirical studies focusing on consumers; relate to human health; and feature technologies designed to interact directly with consumers. Clinical applications and technologies regulated by the FDA, as well as digital tools that do not provide individualized information, were excluded. RESULTS We identified 271 studies in 63 unique journals and 22 unique conference proceedings. Sixty-five percent of these studies were found in health informatics journals; 23% in information science and library science; 15% in computer science; 4% in medicine; and 5% in other fields, ranging from engineering to education. A single journal, the Journal of Medical Internet Research, was home to 36% of the studies. Sixty-two percent of these studies relied on quantitative methods, 55% on qualitative methods, and 17% were mixed-method studies. Seventy percent of studies used no specific theoretical framework; of those that did, Social Cognitive Theory appeared the most frequently, in 16 studies. Fifty-two studies identified problems with technology adoption, acceptance, or use, 38% of these barriers being machine-centered (for example, content or computer-based), and 62% user-centered, the most frequently mentioned being attitude and motivation toward technology. One hundred and twenty-six interventional studies investigated disparities or heterogeneity in treatment effects in specific populations. The most frequent disparity investigated was gender (13 studies), followed closely by race/ethnicity (11). Half the studies focused on a specific diagnosis, most commonly diabetes and cancer; 30% focused on a health behavior, usually information-seeking. Gaps were found in reporting of study design, with only 46% of studies reporting on specific methodological details. Missing details were response rates, since 59% of survey studies did not provide them; and participant retention rates, since 53% of interventional studies did not provide this information. Participant demographics were usually not reported beyond gender and age. Only 17% studies informed the reader of their theoretical basis, and only 4 studies focused on theory at the group, network, organizational or ecological levels—the majority being either health behavior or interpersonal theories. Finally, of the 131 studies describing the design of a new technology, 81% did not involve either patients or consumers in their design. In fact, while consumer and patient were necessarily core concepts in this literature, these terms were often used interchangeably. The research literature of consumer health informatics at present is scattered across research fields; only 49% of studies from these disciplines is indexed by MEDLINE and studies in computer science are siloed in a user interface that makes exploration of that literature difficult. CONCLUSIONS Few studies analyzed in this scoping review were based in theory, and very little was presented in this literature about the life context, motives for technology use, and personal characteristics of study participants.


Author(s):  
Abubakari Yakubu ◽  
Fortuna Paloji ◽  
Juan Pablo Guerrero Bonnet ◽  
Thomas Wetter

Abstract Objective We aimed to develop a survey instrument to assess the maturity level of consumer health informatics (ConsHI) in low-middle income countries (LMIC). Methods We deduced items from unified theory of acceptance and use of technology (UTAUT), UTAUT2, patient activation measure (PAM), and ConsHI levels to constitute a pilot instrument. We proposed a total of 78 questions consisting of 14 demographic and 64 related maturity variables using an iterative process. We used a multistage convenient sampling approach to select 351 respondents from all three countries. Results Our results supported the earlier assertion that mobile devices and technology are standard today than ever, thus confirming that mobile devices have become an essential part of human activities. We used the Wilcoxon Signed-Rank Test (WSRT) and item response theory (IRT) to reduce the ConsHI-related items from 64 to 43. The questionnaire consisted of 10 demographic questions and 43 ConsHI relevant questions on the maturity of citizens for ConsHI in LMIC. Also, the results supported some moderators such as age and gender. Additionally, more demographic items such as marital status, educational level, and location of respondents were validated using IRT and WSRT. Conclusion We contend that this is the first composite instrument for assessing the maturity of citizens for ConsHI in LMIC. Specifically, it aggregates multiple theoretical models from information systems (UTAUT and UTAUT2) and health (PAM) and the ConsHI level.


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