Information and Communication Technology–Enabled Person-Centered Care for the “Big Five” Chronic Conditions: Scoping Review

Wildevuur, Sabine; Simonse, Lianne

doi:10.2196/jmir.3687

Cited by 193 publications

(176 citation statements)

References 33 publications

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“…Furthermore, a tailored approach is required to assure high adherence, specifically during Phases 3 and 4 [37,38]. Our interventionists tried to perform the role of health coaching rather than merely lecturing about chronic disease information [9]; therefore, we carefully assessed their healthcare needs before selecting apps.…”

Section: Discussionmentioning

confidence: 99%

Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study (Preprint)

Kim¹,

Park²,

Lee³

et al. 2018

Preprint

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Background: Although 90% of older Korean adults have at least one chronic disease, most self-management interventions are clinic-based, delivered through face-to-face education, and highly focused on disease information only in South Korea. Therefore, older Koreans living in the community continue to seek an adjunct to manage chronic disease by themselves and expect mobile health (mHealth) to meet their healthcare needs in daily life.Objective: This feasibility study (1) developed an mHealth protocol to empower older adults to manage their chronic diseases at home, (2) examined the feasibility of the mHealth intervention using mobile tablets and applications (apps), and (3) discussed contextual and methodological challenges when applying an mHealth intervention for older Koreans with chronic diseases. Methods:The mHealth intervention protocol was developed based on the eHealth Enhanced Chronic Care Model. Our mHealth intervention included four phases. Phase 1 included mobile tablet training and standardized technology training with guidebooks, demonstrations, and guided practice. Phase 2 included standardized information for disease management retrieved from both governmental and professional healthcare organizations. Phase 3 included training to use the pre-selected high-quality mHealth apps to consider types of individuals' chronic disease. Phase 4 included encouragement to practice self-selected mHealth apps based on their individual needs. Quantitatively descriptive and qualitative content analyses of user evaluation were completed to assess feasibility and user acceptance. Results: Among the 27 older adults, 25 completed mHealth training for 4 weeks. The attrition rate was 7.4% (2/27), due to time conflicts, emotional distress, and/or family discouragement. The men required little or no time for Phase 1, while the women seemed to depend on the interventionists for Phase 3. At least 4 weeks with weekly meetings were required to complete training of the mHealth intervention. Sex, educational level, and previous experience using smartphones were associated with learning speed, confidence, and competence.Conclusions: A highly person-centered approach is required to implement mHealth interventions for older adults. Self-management of chronic diseases via mHealth requires careful consideration regarding the complex nature of human behavior, emotional response, and family influence; therefore, integrating a theoretical-clinical-technical approach is necessary for successful implementation and higher effectiveness among older adults.

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Section: Discussionmentioning

confidence: 99%

Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study (Preprint)

Kim¹,

Park²,

Lee³

et al. 2018

Preprint

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“…A recent review [20] on ICT interventions used to support patients and healthcare professionals in five chronic diseases, including diabetes, revealed that ICTs used for synchronous consultations between patient, general practitioner and specialist are rare. ICTs are most often used for educational or administrative purposes and not linked directly to patient care.…”

Section: Related Workmentioning

confidence: 99%

Service innovation from the edges: enhanced by telemedicine decision support

Osmundsen

Jaatun

Heggem

et al. 2015

Pers Ubiquit Comput

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Increased prevalence of diabetes creates a need for improved care. Diabetes, as a chronic disease in which the patient is a central asset for effective care, is relevant as an illustrative example for also other chronic diseases that are on the rise globally. Such diseases demand localised co-produced healthcare services that respond to the need for integrated health care. The aim of the current paper was to investigate how telemedicine may facilitate patient consultations that improve quality, efficiency and patient involvement. Patient consultations facilitated by telemedicine were evaluated by the means of qualitative questionnaires to specialist, general practitioner and patients. The questionnaires revealed that the patient consultations improved quality of health care and saved time and cost. Findings suggest that such tripartite consultations may lead to outcomes where patients are empowered to take a more active role, the general practitioner increases his knowledge and competence, and the specialist is able to have a more holistic approach grounded in an understanding of patient history and local context. The support of telemedicine strengthens the consultations in terms of synchronous communication with visual clues and reduces time spent on the consultation by the specialist and travel time and cost for the patient. The contribution of this paper is to demonstrate how telemedicine can provide improved patient consultations by altering the established system of healthcare delivery.

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“…[1] Emerging health technologies are increasingly being used in health care for communication, data collection, patient monitoring, education, and to facilitate adherence to chronic disease management. [6,8] It has been suggested that various telehealth technologies can assist in reducing both burden and cost of CVD around the world. [1,[9][10][11] Various technologies such as remote patient monitoring systems, mobile phone intervention programs, electronic health databases, smartphone apps, instant messaging, video calling and patient portals are just a few of the innovative technology concepts repeatedly used to increase adherence to treatment, disease prevention, and health management programs.…”

Section: Introductionmentioning

confidence: 99%

Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey (Preprint)

Asan¹,

Cooper²,

Nagavally³

et al. 2017

Preprint

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Background: Emerging health technologies are increasingly being used in health care for communication, data collection, patient monitoring, education, and to facilitate adherence to chronic disease management. However, there is also lack of studies on differences in preference for using information exchange technologies between chronic and non-chronic disease patients and factors affecting these differences. Objective: The purpose of this paper is to understand preferences and interests in use of technology for information exchange among a nationally representative sample of adults with and without chronic disease conditions and to assess whether these preferences differ according to varying demographic variables. Methods: We utilized data from the 2021 and 2014 iteration of the Health Information National Trends Study (HINTS, N=7307). We modeled negative responses using multiple logistic regressions adjusting for relevant covariates to identify independent factors associated with lowers odds of using health information technology, and therefore identify targets for awareness. Analyses were weighted for the US population and adjusted for the sociodemographic variables of age, gender, race and US census region. Results: Analysis included 7,307 participants (weighted population 230,993,888) and 3,529 participants of this sample (weighted population of 90,748,995) reported CVD, diabetes, or hypertension. In the unadjusted models, individuals with Diabetes/CVD/Hypertension were more likely to report using email to exchange medical information with their provider (Odds Ratio [OR] 1.431; 95% Confidence Interval [95% CI] 1.113, 1.838) and less likely to not use any of the technology in health information exchange (OR 0.778; 95% CI 0.618, 0.979). In unadjusted model, additional significant odds ratio values are observed. However, after adjustment, all relationships regarding use and interest in exchanging information with the provider were no longer significant. As a next step, we looked at adjusted odds ratios for demographic variables. Individuals above 65 years old (OR 2.32; 95% CI 1.55, 3.49) and Hispanics (OR 1.95; 95% CI 1.26, 3.01) were less likely to report using email to exchange medical information with their provider. Minorities were less likely to indicate they had no interest in exchanging general health tips with a provider electronically ((Hispanics OR 0.55; 95% CI 0.34, 0.88), 95% CI 0.23, 0.56), (Asians OR 0.33; )).Conclusions: Health information technology related interventions; particularly design of m-health technologies should focus more on demographic factors including race, age and region than chronic disease status to increase likelihood of use. Future research is needed to understand and explore more patient friendly use and design of m-health applications which can be utilized by variety of age, race or education/ health literacy groups efficiently to further bridge the gap in communication between patients and their provider.

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Information and Communication Technology–Enabled Person-Centered Care for the “Big Five” Chronic Conditions: Scoping Review

Cited by 193 publications

References 33 publications

Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study (Preprint)

Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study (Preprint)

Service innovation from the edges: enhanced by telemedicine decision support

Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey (Preprint)

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