Turning challenges into design principles: Telemonitoring systems for patients with multiple chronic conditions

The Experiences and Perceptions of Older Adults with Multimorbidity Toward E-Health Care: A Qualitative Evidence Synthesis

Background: Given the growing population of older adults globally, e-Health plays an indispensable role in the chronic disease management of multimorbidity. However, qualitative evidence that synthesizes the experiences of older adults with multimorbidity using e-Health service is currently lacking. The objective was to explore the experiences and perceptions of e-Health care in community-based settings among the older adults with multimorbidity. Methods: Seven electronic databases including PubMed, The Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, Embase, Web of Science, China National Knowledge Infrastructure, and Chinese BioMedical Literature were searched, and the search was limited to studies from inception to September 1, 2023. Screening, data extraction, and quality appraisal were conducted independently by two reviewers. Thomas and Harden's thematic synthesis methodology was applied to synthesize the original themes. The methodological quality of included studies was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Qualitative Research, and the confidence of synthesized themes was evaluated by the Confidence in the Evidence from Reviews of Qualitative Research approaches. Results: Ten studies with moderate methodological quality met eligibility criteria and were included finally. Studies were conducted in four countries with 235 participants who were living with multiple chronic conditions. Among the 10 included studies, 37 credible findings were extracted and interpreted into 3 synthesized themes and 12 subthemes: (1) advantages and benefits perceived during e-Health service, (2) multidimensional challenges and negative experience posed by e-Health service, and (3) preferences, suggestions, and expectations for future e-Health improvement. The confidence in the majority of the three final synthesized themes was rated between "low" and "moderate" scales. Conclusions: The findings of this study provide new insights into implementing tailored e-Health care for older adults with multimorbidity. Further research should emphasize on realizing the potential value of e-Health service based on users' needs and perspectives to promote age-friendliness in geriatric practice.

Challenges of Telemonitoring Programs for Complex Chronic Conditions: Randomized Controlled Trial With an Embedded Qualitative Study

Background

Despite the growing prevalence of people with complex conditions and evidence of the positive impact of telemonitoring for single conditions, little research exists on telemonitoring for this population.

Objective

This randomized controlled trial and embedded qualitative study aims to evaluate the impact on and experiences of patients and health care providers (HCPs) using a telemonitoring system with decision support to manage patients with complex conditions, including those with multiple chronic conditions, compared with the standard of care.

Methods

A pragmatic, unblinded, 6-month randomized controlled trial sought to recruit 146 patients with ≥1 diagnosis of heart failure (HF), uncontrolled hypertension (HT), and insulin-requiring diabetes mellitus (DM) from outpatient specialty settings in Toronto, Ontario, Canada. Participants were randomized into the control and telemonitoring groups, with the latter being instructed to take readings relevant to their conditions. The telemonitoring system contained an algorithm that generated decision support in the form of actionable self-care directives to patients and alerts to HCPs. The primary outcome was health status (36-Item Short Form Health Survey questionnaire). Secondary outcomes included anxiety and depression, self-efficacy in chronic disease management, and self-reported health service use. HF-related quality of life and self-care measures were also collected from patients followed for HF. Within- and between-group change scores were analyzed for statistical significance (P<.05). A convenience sample of HCPs and patients in the intervention group was interviewed about their experiences.

Results

A total of 96 patients were recruited and randomized. Recruitment was terminated early because of implementation challenges and the onset of the COVID-19 pandemic. No significant within- and between-group differences were found for the main primary and secondary outcomes. However, a within-group analysis of patients with HF found improvements in self-care maintenance (P=.04) and physical quality of life (P=.046). Opinions expressed by the 5 HCPs and 13 patients who were interviewed differed based on the monitored conditions. Although patients with HF reported benefitting from actionable self-care guidance and meaningful interactions with their HCPs, patient and HCP users of the DM and HT modules did not think telemonitoring improved the clinical management of those conditions to the same degree. These differing experiences were largely attributed to the siloed nature of specialty care and the design of the decision support, whereby fluctuations in the status of HT and DM typically required less urgent interventions compared with patients with HF.

Conclusions

We recommend that future research conceive telemonitoring as a program and that self-management and clinical decision support are necessary but not sufficient components of such programs for patients with complex conditions and lower acuity. We conclude that telemonitoring for patients with complex conditions or within multidisciplinary care settings may be best operationalized through nurse-led models of care.

Trial Registration

ClinicalTrials.gov NCT03127852; https://clinicaltrials.gov/ct2/show/NCT03127852

International Registered Report Identifier (IRRID)

RR2-10.2196/resprot.8367

Digital Health and Care Study on Elderly Monitoring

Sustainable technologies are being increasingly used in various areas of human life. While they have a multitude of benefits, they are especially useful in health monitoring, especially for certain groups of people, such as the elderly. However, there are still several issues that need to be addressed before its use becomes widespread. This work aims to clarify the aspects that are of great importance for increasing the acceptance of the use of this type of technology in the elderly. In addition, we aim to clarify whether the technologies that are already available are able to ensure acceptable accuracy and whether they could replace some of the manual approaches that are currently being used. A two-week study with people 65 years of age and over was conducted to address the questions posed here, and the results were evaluated. It was demonstrated that simplicity of use and automatic functioning play a crucial role. It was also concluded that technology cannot yet completely replace traditional methods such as questionnaires in some areas. Although the technologies that were tested were classified as being “easy to use”, the elderly population in the current study indicated that they were not sure that they would use these technologies regularly in the long term because the added value is not always clear, among other issues. Therefore, awareness-raising must take place in parallel with the development of technologies and services.

Chronic patient remote monitoring through the application of big data and internet of things

Chronic patients could benefit from the technological advances, but the clinical approaches for this kind of patients are still limited. This paper describes a system for chronic patients monitoring both, in home and external environments. For this purpose, we used novel technologies as big data, cloud computing and internet of things (IoT). Additionally, the system has been validated for three use cases: cardiovascular disease (CVD), hypertension (HPN) and chronic obstructive pulmonary disease (COPD), which were selected for their incidence in the population. This system is innovative within e-health, mainly due to the use of a big data architecture based on open-source components, also it provides a scalable and distributed environment for storage and processing of biomedical sensor data. The proposed system enables the incorporation of non-medical data sources in order to improve the self-management of chronic diseases and to develop better strategies for health interventions for chronic and dependents patients.

Perceptions and acceptance of telemedicine among medical oncologists before and during the COVID-19 pandemic in Turkey

BACKGROUND

As a result of technological developments in healthcare services, telemedicine is becoming widespread. We aimed to determine the effect of COVID-19 on Turkish medical oncologists' opinions of telemedicine through a survey.

METHODS

This study was conducted using an online questionnaire linked to an invitation e-mail sent to the members of the Turkish Medical Oncology Association mailing group between May and July 2020.

RESULTS

Of the 110 (73 males and 37 females) medical oncologists who answered the questionnaire, the average age was 43.9 ± 7.29 (range: 31-64) years, and the majority of the respondents were academics. The most commonly used telemedicine method was store and forward (69.7%). Telemedicine use during clinical visits and multidisciplinary councils increased significantly during the COVID-19 pandemic (p < 0.001 in both cases).

CONCLUSION

The use of telemedicine increased during the COVID-19 pandemic, and the pandemic has led oncologists to view telemedicine more positively.

Share to Seek: The Effects of Disease Complexity on Health Information-Seeking Behavior

Background

Web-based question and answer (Q&A) sites have emerged as an alternative source for serving individuals’ health information needs. Although a number of studies have analyzed user-generated content in web-based Q&A sites, there is insufficient understanding of the effect of disease complexity on information-seeking needs and the types of information shared, and little research has been devoted to the questions concerning multimorbidity.

Objective

This study aims to investigate seeking of health information in Q&A sites at different levels of disease complexity. Specifically, this study investigates the effects of disease complexity on information-seeking needs, types of information shared, and stages of disease development.

Methods

First, we selected a random sample of 400 questions separately from each of the Q&A sites: Yahoo Answers and WebMD Answers. The data cleaning resulted in a final set of 624 questions from the two sites. We used a mixed methods approach, including qualitative content analysis and quantitative statistical analysis.

Results

The one-way results of ANOVA showed significant effects of disease complexity (single vs multimorbid disease questions) on two information-seeking needs: diagnosis (F_1,622=5.08; P=.02) and treatment (F_1,622=4.82; P=.02). There were also significant differences between the two levels of disease complexity in two stages of disease development: the general health stage (F_1,622=48.02; P<.001) and the chronic stage (F_1,622=54.01; P<.001). In addition, our results showed significant effects of disease complexity across all types of shared information: demographic information (F_1,622=32.24; P<.001), medical diagnosis (F_1,622=11.04; P<.001), and treatment and prevention (F_1,622=14.55; P<.001).

Conclusions

Our findings present implications for the design of web-based Q&A sites to better support health information seeking. Future studies should be conducted to validate the generality of these findings and apply them to improve the effectiveness of health information in Q&A sites.

Stakeholder impact on the implementation of integrated care: Opportunities to consider for patient-centered outcomes research

Nearly half of Americans live with chronic disease. Many have multiple chronic conditions that often present as a combination of physical and mental health conditions. Aligning stakeholder-driven, patient-centered outcomes research with population health strategies such as innovative ways to deliver care management can reduce the burden of multiple chronic conditions. In addition, successfully creating meaningful, inclusive research requires actively engaging stakeholders throughout the lifecycle of a study. This study integrates stakeholder engagement, using a large health plan in western Pennsylvania, to conduct a randomized controlled trial. Three care management strategies, High-Touch, High-Tech, and Usual Care, are compared for effectiveness among members with multiple chronic conditions. Care strategies are delivered via the Community Team, a multidisciplinary community-based team, offering in-person (High-Touch) and digital (High-Tech) care management in 14 counties across Pennsylvania. Participants are followed for 12months, with repeated measurements of self-reported health status and activation in care, while tracking administrative measurements of primary and specialty health service utilization. Quality of life, care satisfaction, engagement in care, and service utilization will be compared using generalized mixed models. Additionally, semi-structured interviews are conducted for both participants and care managers over the course of the study to evaluate feasibility. This manuscript presents implementation strategies, while noting that the implementation of patient-centered outcomes research in a real-world setting requires rapid evaluation, redesign of workflow, and tailored approaches for success.

A Blockchain-Based Consent Platform for Active Assisted Living: Modeling Study and Conceptual Framework

BACKGROUND

Recent advancements in active assisted living (AAL) technologies allow older adults to age well in place. However, sensing technologies increase the complexity of data collection points, making it difficult for users to consent to data collection. One possible solution for improving transparency in the consent management process is the use of blockchain, an immutable and timestamped ledger.

OBJECTIVE

This study aims to provide a conceptual framework based on technology aimed at mitigating trust issues in the consent management process.

METHODS

The consent management process was modeled using established methodologies to obtain a mapping of trust issues. This mapping was then used to develop a conceptual framework based on previous monitoring and surveillance architectures for connected devices.

RESULTS

In this paper, we present a model that maps trust issues in the informed consent process; a conceptual framework capable of providing all the necessary underlining technologies, components, and functionalities required to develop applications capable of managing the process of informed consent for AAL, powered by blockchain technology to ensure transparency; and a diagram showing an instantiation of the framework with entities comprising the participants in the blockchain network, suggesting possible technologies that can be used.

CONCLUSIONS

Our conceptual framework provides all the components and technologies that are required to enhance the informed consent process. Blockchain technology can help overcome several privacy challenges and mitigate trust issues that are currently present in the consent management process of data collection involving AAL technologies.

Automatized follow-up and alert system for patients with chronic hypertension

This article presents the development and implementation of a monitoring system for patients with chronic hypertension. Technological advances in wireless communication are increasingly used today to send and receive information through smartphones. This also applies to devices for measuring blood pressure, which can be efficiently integrated with smartphones. Telemedicine is used in a variety of health fields, and in the past 5 years, it has extended its reach to the online monitoring of patients. The objective of this study is to create an integrated system capable of conducting the follow-up, through mobile communication (smartphones), of patients with chronic diseases such as hypertension. An iHealth equipment certified by the Food and Drug Administration is used. The blood pressure values from users are uploaded via Internet and stored in an integral system for processing. The monitoring system developed not only informs users about their disease status but also sends them alerts generated during monitoring. This work uses the telecommunication technology existing through smartphones. The integrated system developed ensures the follow-up of the blood pressure of a large number of users. In addition, this system can be further applied to diseases such as diabetes and metabolic syndrome. The system developed was easy to use and efficient to monitor patients with chronic diseases such as high blood pressure.