The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study

Quality of the digital gp visits and characteristics of the users: retrospective observational study

OBJECTIVES

This study compares the demographics, diagnoses, re-admission rates, sick leaves, and prescribed medications of patients accessing digital general practitioner (GP) visits with those of patients opting for traditional face-to-face appointments in a primary health care setting.

DESIGN

The study adopted a retrospective analysis of patient record data collected in 2019, comparing visits to a digital primary health center with traditional health center visits.

SETTING

Primary health care.

PARTICIPANTS

The data encompassed patients who utilized the digital clinic and those who visited public health centers for primary health care services.

MAIN OUTCOME MEASURES

The study assessed demographics, health diagnoses, prescribed medications, sick leave recommendations, re-admission rates, and differences in costs between digital clinic and face-to-face visits. Secondary outcomes included a comparative analysis of medication categories, resolution rates for health problems, and potential impacts on health care utilization.

RESULTS

Digital clinic users were typically younger, more educated, and predominantly female compared with health centre users. Digital visits were well-suited for uncomplicated infections, while health centre appointments were associated with a higher prevalence of chronic conditions. Medication patterns differed between the two modalities, with digital clinic users receiving generic over-the-counter drugs and antibiotics, whereas health centre visits commonly involved cardiac and antihypertensive medications. Sick leave recommendations were slightly higher in the digital clinic, but the difference was not significant. Approximately 70% of health problems addressed in the digital clinic were successfully resolved, and the cost of digital visits was about 50,3% of face-to-face appointments.

CONCLUSION

Digital health care services offer a cost-efficient alternative for specific health problems, appealing to younger, educated individuals, when compared to the users of public health center, and may enable improvement of cost-effectiveness combined with acceptable demand management and patient segmentation practices. The results highlight the potential benefits of digital clinics, particularly for uncomplicated cases, while also emphasizing the importance of suitable referral mechanisms for in-person consultations.

User profiles in digitalized healthcare: active, potential, and rejecting - a cross-sectional study using latent class analysis

BACKGROUND

There is evidence of different use by different groups of people for general health-related applications. Yet, these findings are lacking for digitalized healthcare services. It is also unclear whether typical use patterns can be found and how user types can be characterized.

METHODS

The analyses are based on data from 1 821 respondents to the Health Related Beliefs and Health Care Experiences in Germany panel (HeReCa). Digitalized healthcare services, that were used to determine the user types, include for example sick notes before/after examination and disease related training. User types were determined by latent class analysis. Individual groups were characterized using multinomial logistic regressions, taking into account socioeconomic and demographic factors as well as individual attitudes towards digitalization in the healthcare system.

RESULTS

Three types were identified: rejecting (27.9%), potential (53.8%) and active (18.3%). Active participants were less likely to be employed, less likely to be highly educated and less skeptical of digital technologies. Potential users were the youngest, most highly-educated and most frequently employed group, with less skepticism than those who rejected. Rejecters were the oldest group, more likely to be female and of higher socio-economic status.

CONCLUSIONS

Socio-demographic and socio-economic differences were identified among three user types. It can therefore be assumed that not all population groups will benefit from the trend towards digitalization in healthcare. Steps should be taken to enhance access to innovations and ensure that everyone benefits from them.

A Taxonomy for Health Information Systems

The health sector is highly digitized, which is enabling the collection of vast quantities of electronic data about health and well-being. These data are collected by a diverse array of information and communication technologies, including systems used by health care organizations, consumer and community sources such as information collected on the web, and passively collected data from technologies such as wearables and devices. Understanding the breadth of IT that collect these data and how it can be actioned is a challenge for the significant portion of the digital health workforce that interact with health data as part of their duties but are not for informatics experts. This viewpoint aims to present a taxonomy categorizing common information and communication technologies that collect electronic data. An initial classification of key information systems collecting electronic health data was undertaken via a rapid review of the literature. Subsequently, a purposeful search of the scholarly and gray literature was undertaken to extract key information about the systems within each category to generate definitions of the systems and describe the strengths and limitations of these systems.

Trends in blood pressure changes and hypertension prevalence in Australian adults before and during the COVID-19 pandemic

Efforts to limit the impact of the coronavirus disease (COVID-19) pandemic led to the implementation of public health measures and reallocation of health resources. To investigate trends in blood pressure (BP), hypertension and BMI in the Australian population during the COVID-19 pandemic, data from publicly accessible health stations were analyzed. Average BP and BMI measured by the SiSU Health Station network in Australia in over 1.6 million health screenings were compared between the years 2018 and 2021. Additionally, paired trajectories for BP and BMI development before and during the COVID-19 pandemic were calculated. Comparisons between pre-COVID years and post-COVID years of 2018 versus 2020, 2019 versus 2020, 2018 versus 2021, and 2019 versus 2021 showed increases in average adjusted systolic BP of 2.0, 1.7, 2.6, and 2.3 mmHg, respectively. Paired analysis of longitudinal data showed an overall increase in the trajectory of systolic BP of 3.2 mmHg between pre- and post-COVID years. The prevalence of hypertension in users of the health stations increased by approximately 25% in the years 2020-2021. Similar trends were seen for BMI. Data from public Australian health stations indicated a strong trend toward higher BP during the COVID-19 pandemic. At the population level, BP increments have been shown to markedly increase cardiovascular disease risk. Anti-pandemic measures need to be carefully evaluated in terms of secondary public health effects and health support systems extended to effectively target cardiovascular risk.

Requirements for design and function of blood pressure measuring devices used for the management of hypertension: Consensus Statement by the European Society of Hypertension Working Group on Blood Pressure Monitoring and Cardiovascular Variability and STRIDE BP

OBJECTIVE

To develop scientific consensus recommendations for the optimal design and functions of different types of blood pressure (BP) measuring devices used in clinical practice for the detection, management, and long-term follow-up of hypertension.

METHODS

A scientific consensus meeting was performed by the European Society of Hypertension (ESH) Working Group on BP Monitoring and Cardiovascular Variability and STRIDE BP (Science and Technology for Regional Innovation and Development in Europe) during the 2022 Scientific Meeting of the ESH in Athens, Greece. Manufacturers were also invited to provide their feedback on BP device design and development. Thirty-one international experts in clinical hypertension and BP monitoring contributed to the development of consensus recommendations on the optimal design of BP devices.

STATEMENT

International consensus was reached on the requirements for the design and features of five types of BP monitors, including office (or clinic) BP monitors, ambulatory BP monitors, home BP monitors, home BP telemonitors, and kiosk BP monitors for public spaces. For each device type "essential" requirements (must have), and "optional" ones (may have) are presented, as well as additional comments on the optimal device design and features.

CONCLUSIONS

These consensus recommendations aim at providing manufacturers of BP devices with the requirements that are considered mandatory, or optional, by clinical experts involved in the detection and management of hypertension. They are also directed to administrative healthcare personnel involved in the provision and purchase of BP devices so that they can recommend the most appropriate ones.

Digital technologies for mental health improvements in the COVID-19 pandemic: a scoping review

Digital technologies have been used to support mental health services for two decades, but the COVID-19 pandemic created a particular opportunity for greater utilization and more data-driven assessment of these digital technologies. This research aims to offer a scoping review of the characteristics and effectiveness of digital interventions that were employed to improve mental health in the real context of COVID-19 pandemic. A combination of search terms was applied for automatic search of publications in the relevant databases. The key features of included studies were extracted, including the intervention, participant, and study details. A total of 20 eligible studies were included in the final review, which were conducted across different geographic regions and among diverse cultural groups. Among them, fourteen studies mainly reported the impact of digital technologies on general population, while only one published study developed specific interventions for the isolated COVID-19 depressed patients in hospitals. Digital technologies identified in this review were mainly developed via web-based and mobile-based platforms, such as social networking and video conferencing applications. But less than half of them were aligned with theoretical approaches from standardized psychological treatments. Most of the studies have reported positive effects of digital technologies, either on improving general mental and emotional well-being or addressing specific conditions (e.g., depression, stress, and anxiety). This scoping review suggests that digital technologies hold promise in bridging the mental health-care gap during and after the COVID-19 pandemic, and calls for more rigorous studies to identify pertinent features that are likely to achieve more effective mental health outcomes.

Development of a data platform for monitoring personal health records in Japan: The Sustaining Health by Integrating Next-generation Ecosystems (SHINE) Study

BACKGROUND

The Sustaining Health by Integrating Next-generation Ecosystems (SHINE) Study was developed as a data platform that incorporates personal health records (PHRs) into health-related data at the municipal level in Japan. This platform allows analyses of the associations between PHRs and future health statuses, and supports the production of evidence for developing preventive care interventions. Herein, we introduce the SHINE Study's profile and describe its use in preliminary analyses.

METHODS

The SHINE Study involves the collection of participants' health measurements and their addition to various health-related data from the Longevity Improvement & Fair Evidence (LIFE) Study. With cooperation from municipal governments, measurements can be acquired from persons enrolled in government-led long-term care prevention classes and health checkups who consent to participate in the SHINE Study. For preliminary analyses, we collected salivary test measurements, lifelog measurements, and gait measurements; these were linked with the LIFE Study's database. We analyzed the correlations between these measurements and the previous year's health care expenditures.

RESULTS

We successfully linked PHR data of 33 participants for salivary test measurements, 44 participants for lifelog measurements, and 32 participants for gait measurements. Only mean torso speed in the gait measurements was significantly correlated with health care expenditures (r = -0.387, P = 0.029).

CONCLUSION

The SHINE Study was developed as a data platform to collect and link PHRs with the LIFE Study's database. The analyses undertaken with this platform are expected to contribute to the development of preventive care tools and promote health in Japan.

Exploring the Health and Social Needs of Community Residents Using an Online Community Care Platform: Linkage to the International Classification of Functioning, Disability, and Health

Objectives

This study aimed to analyze the outcomes of the Comprehensive Health and Social Need Assessment (CHSNA) system, which identifies community residents’ health and social needs, and to link these needs with the International Classification of Functioning, Disability, and Health (ICF).

Methods

Adult community residents in a metropolitan city in Korea were recruited. They were asked to assess their health and social needs via the CHSNA system, which was integrated into an online community-care platform. Three assessment steps (basic health assessment, needs for activities of daily living, and in-depth health assessment) associated with five ICF components were used to evaluate physical health impairment, difficulties in activities and participation, and environmental problems. The final list of health and social needs was systematically linked to the domains and categories of the ICF. Only data from participants who completed all three assessment steps were included.

Results

Wide ranges of impairments and difficulties regarding the daily living activities, physical health, and environmental status of the community were recorded from 190 people who completed assessments of their health and social needs by the CHSNA system. These participants reported various health and social needs for their community life; common needs corresponded to the ICF components of body functions and activities/participation.

Conclusions

The ICF may be suitable for determining the health-related problems and needs of the general population. Possible improvements to the present system include providing support for completing all assessment steps and developing an ICF core set for an enhanced understanding of health and social needs.

Prevalence and Determinants of Mobile Health Applications Usage: A National Descriptive Study

We aimed to determine the prevalence of MHAs' usage and explore the context and determinants of using MHAs among inhabitants in Saudi Arabia (SA). This cross-sectional study randomly selected 679 adult inhabitants from the 20 health regions in SA through an electronic, self-administered, well-structured, and validated Arabic questionnaire. The prevalence of using MHAs was 47.9%, and it was significantly higher among younger, Saudis, highly educated, and working participants, as well as those with chronic diseases (p < 0.05). The main motives for using MHAs were to promote health status (68.6%) and to lose weight (33.2%). The most used apps were related to daily steps-counting (54.2%), and among females was tracking ovulation period apps (43.5%). The most common reported advantage of using MHAs was saving time (64%). Despite the potential benefits of MHAs, they were used by only about half of the study participants in SA. The most effective MHAs in improving health status were exercise, calorie-related, water uptake, and daily steps-counting apps. Policymakers looking to address reform aimed at improving health with mobile apps will find our study interesting.