The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature

Peer-to-peer sharing in public health interventions: strategies when people share health-related personal information on social media

PURPOSE

As sharing on social media has become an integrated part of everyday life, health and public health actors have started to show interest in the potential of people's peer-to-peer sharing of health-related personal information (HRI) for health interventions. In this article we focus on how people make sense of sharing HRI on social media.

METHODS

Twenty-two people between the ages 40 and 60 who had taken part in a regional health intervention were interviewed. Using theories about social media sharing, we explore their understandings and negotiations about whether, how much, and how to share HRI and discuss the results in relation to peer-to-peer sharing as a strategy in interventions.

RESULTS

We identified three aspects that were perceived as particularly risky: loss of control, effects on identity, and affecting others negatively, along with strategies that were used to manage risks in practice: avoiding sharing, allocating, and embedding HRI.

CONCLUSIONS

By allocating and embedding HRI, people can unlock motivating affordances for health work. However, strategies to manage risks can also be counterproductive. For actors to provide equality in health promotion, initiatives that include social media sharing need to be mindful of the sometimes counterproductive effects this may have on people's engagement.

Virtual Healthcare for Older Adults With Preventable Chronic Conditions: A Meta-synthesis of Quality Aspects

Our study employed a six-step meta-synthesis approach to understand quality aspects of virtual healthcare trajectories and identify effective strategies for older adults with preventable chronic conditions across the world. Review of twenty-one articles revealed four key themes: functionality of virtual healthcare, equity in service delivery, satisfaction with care, and cost-effectiveness. Despite the challenges posed by technological and clinical complexities, virtual healthcare initiatives have significantly improved accessibility and availability of health services, thereby reducing disparities. Notably, telehealth saved an average of 166-minutes of travel time, demonstrating a clear benefit of virtual healthcare. While all parties expressed satisfaction with virtual healthcare, several challenges were reported, including a digital divide, limited access to digital devices, absence of a multidisciplinary approach, and lack of rural-specific programs.

Enhancing or impeding? The influence of digital systems on interprofessional practice and person-centred care in nutrition care systems across rehabilitation units

AIMS

Digital health transformation may enhance or impede person-centred care and interprofessional practice, and thus the provision of high-quality rehabilitation and nutrition services. We aimed to understand how different elements and factors within existing digital nutrition and health systems in subacute rehabilitation units influence person-centred and/or interprofessional nutrition and mealtime care practices through the lens of complexity science.

METHODS

Our ethnographic study was completed through an interpretivist paradigm. Data were collected from observation and interviews with patients, support persons and staff. Overall, 58 h of ethnographic field work led to observing 125 participants and interviewing 77 participants, totalling 165 unique participants. We used reflexive thematic analysis to analyse the data with consideration of complexity science.

RESULTS

We developed four themes: (1) the interplay of local context and technology use in nutrition care systems; (2) digitalisation affects staff participation in nutrition and mealtime care; (3) embracing technology to support nutrition and food service flexibility; and (4) the (in)visibility of digitally enabled nutrition care systems.

CONCLUSIONS

While digital systems enhance the visibility and flexibility of nutrition care systems in some instances, they may also reduce the ability to customise nutrition and mealtime care and lead to siloing of nutrition-related activities. Our findings highlight that the introduction of digital systems alone may be insufficient to enable interprofessional practice and person-centred care within nutrition and mealtime care and thus should be accompanied by local processes and workflows to maximise digital potential.

[Challenges to the Digital Inclusion of Women in a Vulnerable Area in ColombiaDesafios da inclusão digital das mulheres em uma área vulnerável na Colômbia]

Objective

To identify women's technological capabilities and describe their appropriation and use of technology in a community in a vulnerable area of Colombia.

Method

Observational cross-sectional study conducted in the subregion of Urabá, Colombia. A survey was conducted in primary health care centers, in which 1478 women between 18 and 49 years of age responded to questions about their technological capabilities, their experience with the use of web-based information, and their appropriation of technology.

Results

Access to and use of information and communication technologies (ICTs) varied according to age, educational level, and socioeconomic stratum, with observed differences in preferences and critical consumption of information.

Conclusion

The women in this study faced multiple access barriers to appropriate use of ICTs for health promotion. The appropriation of these tools in Colombia, specifically in the Urabá subregion, is a complex challenge that requires a comprehensive and multidimensional approach.

Objective detection of wheeze at home by parents through a digital device: usage patterns and relationship with SABA administration

INTRODUCTION

Wheezing is an important indicator of exacerbated respiratory symptoms in early childhood and must be monitored to regulate pharmacological therapy. However, parents' subjective perception of wheezing in their children is not always precise. We investigated the objective identification of children's wheezing by parents using a digital wheeze detector (WheezeScanTM, OMRON Healthcare Co. Ltd), its longitudinal usage patterns, and its relationship with SABA administration.

METHODS

We conducted a secondary nested analysis of data from the intervention arm of a multi-center randomized controlled trial completed in 2021-2022 in Berlin (Germany), London (United Kingdom), and Istanbul (Turkey). Children aged 4 to 84 months with doctor's diagnosed wheezing (GINA step 1 or 2) were included. Using an electronic diary (Wheeze-MonitorTM, TPS), parents monitored and recorded for 120 days at home the presence or absence of their child's wheezing, detected both, with WheezeScanTM ("objective" wheezing), and subjective ("perceived" wheezing). Parents also recorded the child's symptoms, medication intake, and family quality of life. Questionnaires regarding symptom control, quality of life, and parental self-efficacy were answered at baseline and after 90 and 120 days.

RESULTS

Eighty-one/87 families completed the intervention arm of the study. WheezeScanTM was on average used 0.7 (SD 0.6) times a day, with each patient reporting a positive, negative, or "error" outcome on average in 57%, 39%, and 5% of measurements, respectively. The use of WheezeScanTM declined slightly during the first 90 days of monitoring and steeply thereafter. Repeated usage of WheezeScanTM in the same day was more frequent after a "wheeze" (HR 1.5, 95% CI 1.37-1.65, p < 0.001) and an "error" (HR 2.01, 95% CI 1.70-2.38, p < 0.001) result, compared to a "no wheeze" outcome. The average per-patient daily agreement between "objective" and "perceived" wheezing/non-wheezing was 75% at the start of the monitoring period and only weakly persisted as time passed (Spearman's rho=0.09). The frequency of short-acting beta-2-agonists (SABA) administration was lower in days with closely interspaced consecutive device uses during which the patient's status was perceived as "never wheeze" (32/455, 7%) than in those perceived as "persistent wheeze" (53/119, 44%; OR 36.6, 95% CI [14.3, 94.1]).

CONCLUSION

Daily use of a digital WheezeScanTM at home allows parents to detect their child's unperceived wheezing and discloses to caregivers the longitudinal patterns of a child's wheezing disorder. Digital monitoring of wheezing also highlights poor adherence to guidelines in SABA administration for wheezing children, with under-treatment being much more frequent than over-treatment. This pioneering study opens new perspectives for further investigation of digital wheeze detectors in the early diagnosis and proper self-management of wheezing disorders in childhood.

Digital Health Tools and Behavioral Strategies to Increase Engagement With Diabetes Self-Management Education and Support: Design and Feasibility of DM-BOOST

PURPOSE

The purpose of the study was to describe the development and feasibility of implementing the DM-BOOST program in support of an established diabetes self-management education and support (DSMES) program.

METHODS

A patient panel of 4 adults with type 2 diabetes (T2DM) codesigned DM-BOOST. DM-BOOST is a patient-focused program that includes peer-written text messages about diabetes self-management behaviors and digital health training to improve patient portal use and initiate goal setting prior to a scheduled DSMES appointment. Adults with T2DM and A1C ≥8.0% participated in a 6-month feasibility pilot. Participants were randomly assigned (1:1) to receive either DM-BOOST or usual care. Outcomes included DSMES engagement (scheduled and attended DSMES appointments) and changes in diabetes self-efficacy and treatment satisfaction.

RESULTS

Pilot participants (n = 60) were 60.0% female with mean age 45.5 years (SD 8.3) and A1C 10.1% (SD 1.8%). All DM-BOOST participants (30/30, 100%) had DSMES appointments scheduled compared to 86.7% of usual care (26/30). DM-BOOST participants had fewer DSMES appointment no-shows/cancellations (3/30, 10%) compared to usual care (10/26, 35%). There was greater improvement in diabetes self-efficacy in the DM-BOOST group compared to usual care and no difference in treatment satisfaction.

CONCLUSIONS

DM-BOOST, leveraging peer-written text messaging and digital health training, increased DSMES engagement. Implementation of DM-BOOST was determined to be feasible, with several system-level barriers identified, including obtaining provider referrals and scheduling appointments. An effectiveness trial of DM-BOOST is needed to evaluate the impact on clinical outcomes.

The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change

IMPORTANCE

The study highlights the potential and limitations of the Large Language Models (LLMs) in recognizing different states of motivation to provide appropriate information for behavior change. Following the Transtheoretical Model (TTM), we identified the major gap of LLMs in responding to certain states of motivation through validated scenario studies, suggesting future directions of LLMs research for health promotion.

OBJECTIVES

The LLMs-based generative conversational agents (GAs) have shown success in identifying user intents semantically. Little is known about its capabilities to identify motivation states and provide appropriate information to facilitate behavior change progression.

MATERIALS AND METHODS

We evaluated 3 GAs, ChatGPT, Google Bard, and Llama 2 in identifying motivation states following the TTM stages of change. GAs were evaluated using 25 validated scenarios with 5 health topics across 5 TTM stages. The relevance and completeness of the responses to cover the TTM processes to proceed to the next stage of change were assessed.

RESULTS

3 GAs identified the motivation states in the preparation stage providing sufficient information to proceed to the action stage. The responses to the motivation states in the action and maintenance stages were good enough covering partial processes for individuals to initiate and maintain their changes in behavior. However, the GAs were not able to identify users' motivation states in the precontemplation and contemplation stages providing irrelevant information, covering about 20%-30% of the processes.

DISCUSSION

GAs are able to identify users' motivation states and provide relevant information when individuals have established goals and commitments to take and maintain an action. However, individuals who are hesitant or ambivalent about behavior change are unlikely to receive sufficient and relevant guidance to proceed to the next stage of change.

CONCLUSION

The current GAs effectively identify motivation states of individuals with established goals but may lack support for those ambivalent towards behavior change.

Physician-directed patient self-management in heart failure using left atrial pressure: Interim insights from the VECTOR-HF I and IIa studies

AIMS

Haemodynamic monitoring using implantable pressure sensors reduces the risk of heart failure (HF) hospitalizations. Patient self-management (PSM) of haemodynamics in HF has the potential to personalize treatment, increase adherence, and reduce the risk of worsening HF, while lowering clinicians' burden.

METHODS AND RESULTS

The VECTOR-HF I and IIa studies are prospective, single-arm, open-label clinical trials assessing safety, usability and performance of left atrial pressure (LAP)-guided HF management using PSM in New York Heart Association class II and III HF patients. Physician-prescribed LAP thresholds trigger patient self-adjustment of diuretics. Primary endpoints include the ability to perform LAP measurements and transmit data to the healthcare provider (HCP) interface and the patient guidance application, and safety outcomes. This is an interim analysis of 13 patients using the PSM approach. Over 12 months, no procedure- or device-related major adverse cardiovascular or neurological events were observed, and there were no failures to obtain measurements from the sensor and transmit the data to the HCP interface and the patient guidance application. Patient adherence was 91.4%. Using PSM, annualized HF hospitalization rate significantly decreased compared to a similar period prior to PSM utilization (0 admissions vs. 0.69 admissions over 11.84 months, p = 0.004). At 6 months, 6-min walk test distance and the Kansas City Cardiomyopathy Questionnaire overall summary score demonstrated significant improvement.

CONCLUSIONS

Interim findings suggest that PSM using a LAP monitoring system is feasible and safe. PSM is associated with high patient adherence, potentially improving HF patients' functional status, quality of life, and limiting HF hospitalizations.

Patient-Engagement Health Information Technology and Quality Process Outcomes in Federally Qualified Health Centers

BACKGROUND AND OBJECTIVES

Health information technology (HIT) for patient-engagement can positively influence the quality and efficiency of health care delivery. Although this topic is of significant importance, it has not been fully addressed in the federally qualified health center (FQHC) context. This research investigates the relationship between the level of patient-engagement HIT and FQHC preventive health care quality outcomes.

METHOD

Based on the Uniform Data System (UDS), this study employed multivariable regression analysis to investigate the association between the level of patient-engagement HIT and FQHC preventive health care quality outcomes. FQHCs were placed in 4 mutually exclusive groups based on the level of FQHC use of patient-engagement HIT.

RESULTS

The results indicate that compared with the most comprehensive patient-engagement HIT at FQHCs, less comprehensive patient-engagement HIT was associated with lower rates of preventive care provision.

CONCLUSIONS

Comprehensive patient-engagement HIT across FQHCs may improve preventive health care quality outcomes. The results support policy incentives for FQHCs with less comprehensive levels of patient-engagement HIT to foster improved preventive care for their patients.

A blockchain-based healthcare data marketplace: prototype and demonstration

Objectives

This study aimed to develop healthcare data marketplace using blockchain-based B2C model that ensures the transaction of healthcare data among individuals, companies, and marketplaces.

Materials and methods

We designed an architecture for the healthcare data marketplace using blockchain. A healthcare data marketplace was developed using Panacea, MySQL 8.0, JavaScript library, and Node.js. We evaluated the performance of the data marketplace system in 3 scenarios.

Results

We developed mobile and web applications for healthcare data marketplace. The transaction data queries were executed fully within about 1-2 s, and approximately 9.5 healthcare data queries were processed per minute in each demonstration scenario.

Discussion

Blockchain-based healthcare data marketplaces have shown compliance performance in the process of data collection and will provide a meaningful role in analyzing healthcare data.

Conclusion

The healthcare data marketplace developed in this project can iron out time and place limitations and create a framework for gathering and analyzing fragmented healthcare data.

Exploring Hypertension Patient Engagement Using mHealth. A Scoping Review

INTRODUCTION

Widespread use of smartphone applications has opened new perspectives for home Blood Pressure monitoring based on mobile health (mHealth) technologies. Patient engagement has been dubbed 'the silver bullet of the century'.

AIM

The aim was to identify the impact of engagement in patients with blood pressure using mHealth.

METHODS

This scoping review was conducted in accordance with the Ark0sey and O'Malley framework.

DATABASE

Pubmed, CINAHL, Scopus and PsycInfo. This review considered both qualitative and quantitative primary searches. We excluded articles belonging to grey literature, secondary literature and paediatric setting. Between September and November 2023, the review was carried out.

RESULTS

A total of 569 documents were retrieved from the four databases. After the deduplication process, five articles were removed. The selection process based on titles and abstracts included 133 records. Ten studies were selected and analysed. The reviewers identified the following themes: device type and mobile applications, engagement, blood pressure control, health behaviours and hypertension knowledge. Self-management using digital technologies in the home is strongly linked to engagement, reduction and control of Blood Pressure, improved health practices and increased knowledge of hypertension. Healthcare interventions using IT platforms have had a significant impact on the health outcomes of patients diagnosed with hypertension.

CONCLUSIONS

The review findings suggest the value of these technologies in improving patient engagement and, consequently, adherence to antihypertensive treatment and achieving blood pressure control rates, potentially reducing cardiovascular risk.

The Impact of Behavior Change Counseling Delivered via a Digital Health Tool Versus Routine Care Among Adolescents With Obesity: Pilot Randomized Feasibility Study

BACKGROUND

Youth overweight and obesity is a public health crisis and increases the risk of poor cardiovascular health (CVH) and chronic disease. Health care providers play a key role in weight management, yet few tools exist to support providers in delivering tailored evidence-based behavior change interventions to patients.

OBJECTIVE

The goal of this pilot randomized feasibility study was to determine the feasibility of implementing the Patient-Centered Real-Time Intervention (PREVENT) tool in clinical settings, generate implementation data to inform scale-up, and gather preliminary effectiveness data.

METHODS

A pilot randomized clinical trial was conducted to examine the feasibility, implementation, and preliminary impact of PREVENT on patient knowledge, motivation, behaviors, and CVH outcomes. The study took place in a multidisciplinary obesity management clinic at a children's hospital within an academic medical center. A total of 36 patients aged 12 to 18 years were randomized to use PREVENT during their routine visit (n=18, 50%) or usual care control (n=18, 50%). PREVENT is a digital health tool designed for use by providers to engage patients in behavior change education and goal setting and provides resources to support change. Patient electronic health record and self-report behavior data were collected at baseline and 3 months after the intervention. Implementation data were collected via PREVENT, direct observation, surveys, and interviews. We conducted quantitative, qualitative, and mixed methods analyses to evaluate pretest-posttest patient changes and implementation data.

RESULTS

PREVENT was feasible, acceptable, easy to understand, and helpful to patients. Although not statistically significant, only PREVENT patients increased their motivation to change their behaviors as well as their knowledge of ways to improve heart health and of resources. Compared to the control group, PREVENT patients significantly improved their overall CVH and blood pressure (P<.05).

CONCLUSIONS

Digital tools can support the delivery of behavior change counseling in clinical settings to increase knowledge and motivate patients to change their behaviors. An appropriately powered trial is necessary to determine the impact of PREVENT on CVH behaviors and outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06121193; https://www.clinicaltrials.gov/study/NCT06121193.

A Scale for Measuring Electronic Patient Engagement Behaviors: Development and Validation

Purpose

Advancements in electronic health (eHealth) technology have profoundly impacted patient engagement. This study aimed to develop and validate the Electronic Patient Engagement Behavior (EPEB) scale to measure the conceptual and underlying framework of patient engagement behaviors in an eHealth context.

Patients and Methods

Initial measurement items were generated based on a literature review and qualitative research. Two rounds of surveys, a pilot survey and validation survey, were conducted to evaluate the psychometric properties of the scale.

Results

The EPEB scale consists of 15 items in four dimensions: disease information search, physician-patient interaction, social interaction between patients, and disease self-monitoring. In the pilot survey, the exploratory factor analysis revealed a four-factor model, explaining 69.411% of variance. In the validation survey, the Cronbach's α coefficient of each sub-scale was 0.865, 0.904, 0.904, and 0.900 respectively. The Spearman-Brown split coefficient of the scale was 0.963. The results of the cross-sex measurement equivalence test indicate that all fit indices met the measurement criteria. The confirmatory factor analysis indicated second-order 4-factor model fit the data well. The EPEB has a good reliability and validity.

Conclusion

The EPEB scale provides a reliable tool for measuring patient engagement behaviors in the eHealth context. The utilization of this scale may yield valuable insights into strategies for enhancing patient engagement and optimizing health outcomes.

myHealthHub for older adult inpatients to reduce loneliness, and improve patient engagement and mental health: protocol of a pilot randomized controlled trial

OBJECTIVES

Older Canadian adults make up 85% of hospital stays which are associated with increased loneliness, stress, anxiety, and/or depression. There is a need for novel approaches to reduce loneliness and mental health outcomes in older adult hospital inpatients to prevent further strain on an already overwhelmed healthcare system.

METHODS

This is a pilot randomized controlled trial (RCT) exploring the efficacy of a bedside multimodal interaction system, myHealthHub, on loneliness, quality of life (QOL), patient engagement, and other mental health outcomes compared to an active control group in older adult inpatients (n = 60) from baseline to 5-days. Qualitative analyses will be conducted through semi-structured interviews with older adults (n = 8-10) and hospital staff, nurses, and clinicians (n = 4-5) facilitating the service to evaluate patient engagement and experience with myHealthHub.

RESULTS

Not applicable.

CONCLUSION

This novel pilot clinical trial will obtain preliminary data on the efficacy of myHealthHub in reducing loneliness, QOL, patient engagement, and mental health outcomes in older adult inpatients. If successful, this could provide a potential means to improve patient experience in hospitals and reduce the burden and additional expense on the healthcare system.

The Effect of Mobile eHealth Education to Improve Knowledge, Skills, Self-Care, and Mobile eHealth Literacies Among Patients With Diabetes: Development and Evaluation Study

BACKGROUND

The promotion of mobile health (mHealth) and eHealth technologies as tools for managing chronic diseases, particularly diabetes mellitus, is on the rise. Nevertheless, individuals with diabetes frequently face a literacy gap that hinders their ability to fully leverage the benefits offered by these resources. Enhancing technology literacy to facilitate the adoption of mobile eHealth services poses a significant challenge in numerous countries.

OBJECTIVE

This study aims to develop an educational mobile eHealth literacy (eHL) program for patients with diabetes and to evaluate its effect on patients' outcomes.

METHODS

This study designed a mobile eHL education program comprising 2 modules specifically tailored for individuals with type 2 diabetes (T2D). These modules focused on guiding participants through the process of effectively navigating reliable health websites and utilizing diabetes-related apps. Using a pre- and posttest experimental design, the study featured an intervention group and a control group. Participants were recruited from 3 outpatient departments in hospitals, and assessments were conducted both before and after the intervention, along with a follow-up measure at the 3-month mark. The evaluation encompassed sociodemographic characteristics, computer and internet proficiency, mobile app usage, mobile eHL, and patient outcomes such as self-care behaviors and glycated hemoglobin (HbA1c) levels.

RESULTS

The analysis included a total of 132 eligible participants. Significant differences were observed in the mean scores of knowledge (P<.001) and skills (P<.001) related to computers, the web, and mobile devices at the initiation of the study and after the intervention. During the 3-month follow-up, the findings indicated a significant improvement in mobile eHL (t114=3.391, P=.001) and mHealth literacy (mHL, a subconcept of mobile eHL; t114=3.801, P<.001) within the intervention group, whereas no such improvement was observed in the control group. The chi-square values from the McNemar test underscored that individuals with uncontrolled diabetes (HbA1c≥7%) in the intervention group exhibited more improvement compared with the control group. The generalized estimating equations model unveiled a significant difference in the change of general mHL in the intervention group (β=1.91, P=.047) and self-care behavior in the control group from T0 to T2 (β=-8.21, P=.015). Despite being small, the effect sizes for mobile eHL (d=0.49) and HbA1c (d=0.33) in the intervention group were greater than those in the control group (d=0.14 and d=0.16, respectively).

CONCLUSIONS

The implementation of a mobile eHL education intervention demonstrates a positive influence on the familiarity of patients with T2D regarding health technology, leading to favorable glycemic outcomes. While additional studies are warranted for a more comprehensive understanding, this program emerges as a promising solution for enhancing patients' uptake of digital health technology.

TikTok as an Educational Tool for Kidney Stone Prevention

INTRODUCTION

The incidence of kidney stones in the United States continues to increase. Although dietary interventions have shown to be effective in reducing stone events, adherence to medical management continues to be a limiting factor. For that reason, patient education has become a focus of many physicians. TikTok, a social media application with over one billion users worldwide, has emerged as an online center for medical knowledge sharing by physicians and non-physicians alike. TikTok users share kidney stone prevention information through short informational videos directly to the general public. Little is known regarding the quality of medical advice provided in these videos. The purpose of this study was to evaluate the reach and quality of kidney stone prevention information on TikTok.

METHODS

We conducted a cross-sectional analysis of renal stone prevention content on TikTok utilizing the search term #kidneystoneprevention to assess all the videos appearing on October 10th, 2022. Only videos in English, related to the topic, and with >1000 views were included. Videos were analyzed for descriptive statistics, including views, uploader profession, and stone prevention recommendations. Videos were assessed utilizing Denver International Study Center of Evaluative Rating of Information (DISCERN), a questionnaire used to appraise the quality of consumer health information (maximum score of 80 per video). The one-way analysis of variance (ANOVA) was used to determine statistical significance groups.

RESULTS

Out of a total of 131 videos, 87 fit the inclusion criteria, resulting in a total of 8.75 million views. An average DISCERN score of 27.0 was observed. Only eight videos were published by physicians, of which the average DISCERN score of 35.3 was significantly greater than an average score of 26.2 for non-physicians (p<0.05). The most common recommendation was increased fluid intake (38.0%) followed by monitoring calcium levels (9.02%) and decreasing oxalate-rich foods (9.2%).

CONCLUSIONS

Kidney stone prevention content on TikTok has a wide reach with millions of consumers. The majority of videos fail to match American Urological Association recommendations regarding diet therapies for stone prevention. Further research is needed to understand the extent of kidney stone prevention misinformation on social media and how it contributes to patient outcomes. Increased engagement in TikTok by urologists and health organizations may improve public education.

A Comprehensive Review of the Vascular Consequences of Diabetes in the Lower Extremities: Current Approaches to Management and Evaluation of Clinical Outcomes

Diabetes mellitus is a global health concern characterized by chronic hyperglycemia, and its vascular consequences in the lower extremities pose significant challenges for individuals living with the condition. This comprehensive review delves into the multifaceted landscape of diabetes-related vascular complications in the lower limbs, with a primary focus on current strategies for management and the evaluation of clinical outcomes. This review achieves several critical objectives by synthesizing existing knowledge and research findings. It elucidates the intricate pathophysiological mechanisms underpinning these complications, shedding light on the cellular and molecular processes involved. Additionally, it outlines clinical assessment and diagnostic strategies used to identify and stratify risk, ranging from cutting-edge imaging techniques to clinical examinations. The review comprehensively examines current management strategies, encompassing lifestyle modifications, pharmacological interventions, surgical procedures, and wound care practices. Moreover, it assesses and analyzes clinical outcomes, including limb salvage rates, amputation rates, and overall quality of life for individuals undergoing treatment. In addressing the challenges faced in managing these complications, this review aims to contribute to improved patient care. It proposes future research directions to enhance the management and outcomes of diabetes-related vascular consequences in the lower extremities.

Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality

BACKGROUND

Mobile apps facilitate patients' access to portals and interaction with their healthcare providers. The COVID-19 pandemic accelerated this trend globally, but little evidence exists on patient portal usage in the Middle East, where internet access and digital literacy are limited. Our study aimed to explore how users utilize a patient portal through its related mobile app (MyChart by EPIC).

METHODS

We conducted a cross-sectional survey of MyChart users, recruited from a tertiary care center in Lebanon. We collected MyChart usage patterns, perceived outcomes, and app quality, based on the Mobile Application Rating Scale (user version, uMARS), and sociodemographic factors. We examined associations between app usage, app quality, and sociodemographic factors using Pearson's correlations, Chi-square, ANOVA, and t-tests.

RESULTS

428 users completed the survey; they were primarily female (63%), aged 41.3 ± 15.6 years, with a higher education level (87%) and a relatively high crowding index of 1.4 ± 0.6. Most of the sample was in good and very good health (78%) and had no chronic illnesses (67%), and accessed the portal through MyChart once a month or less (76%). The most frequently used features were accessing health records (98%), scheduling appointments (67%), and messaging physicians (56%). According to uMARS completers (n = 200), the objective quality score was 3.8 ± 0.5, and the subjective quality was 3.6 ± 0.7. No significant association was found between overall app usage and the mobile app quality measured via uMARS. Moreover, app use frequency was negatively associated with education, socioeconomic status, and perceived health status. On the other hand, app use was positively related to having chronic conditions, the number of physician visits and subjective app quality.

CONCLUSION

The patient portal usage was not associated with app quality but with some of the participants' demographic factors. The app offers a user-friendly, good-quality interface to patient health records and physicians, appreciated chiefly by users with relatively low socioeconomic status and education. While this is encouraging, more research is needed to capture the usage patterns and perceptions of male patients and those with even lower education and socioeconomic status, to make patient portals more inclusive.

Persuasive features for patient engagement through mHealth applications in managing chronic conditions: A systematic literature review and meta-analysis

Patient engagement is currently considered the cornerstone of a revolution in healthcare for its positive impact on health outcomes, health behaviors and healthcare costs. Patient engagement is focused on personalized care to consumers through providing knowledge, skills and confidence. Mobile health (mHealth) applications are an innovative means to facilitate patient engagement. Nevertheless, the extent to which the current mHealth applications are designed to engage patients in managing their chronic diseases is unclear. This paper aims to identify the Persuasive System Design (PSD) features present in current mHealth applications that increased the engagement of patients with chronic diseases. This review also aims to identify patient engagement-related outcomes of these features. This paper conducted a systematic literature review and meta-analysis to find relevant studies published from all years up to 2020 through six databases: PubMed, Scopus, Web of Science, Cinahl plus with full text, MEDLINE with full text, and Cochrane Library (Central register of controlled trials). The database search returned 4939 articles; after applying the inclusion and exclusion criteria, the number of included articles for the final review was 13. A qualitative content analysis was performed to identify PSD model features and their patient engagement-related outcomes. The quality assessment has been done through the Cochrane Risk of Bias tool for RCTs. The systematic literature review and meta-analysis identified eleven PSD features that can increase patient engagement through using mHealth applications. The identified PSD features have been shown to have various patient engagement-related outcomes. Behavior Change Techniques (BCTs) were combined with the identified PSD features. This paper identified persuasive features of mHealth application design that influence the engagement of patients with chronic diseases toward changing their behavior. The impact of these features is also analyzed in this review. The results show that an mHealth technology-mediated patient engagement model is needed.

Efficacy of the PRO-CTCAE mobile application for improving patient participation in symptom management during cancer treatment: a randomized controlled trial

PURPOSE

Although mobile-based symptom monitoring is expected to improve patient participation in symptom management during anticancer therapy, previous trials have not evaluated its effectiveness. Therefore, this study aims to evaluate the impact of a symptom monitoring mobile application on improving patient participation in symptom management during anticancer therapy.

METHODS

We conducted a single-center, open-label, randomized controlled trial that enrolled patients with breast, lung, head and neck, esophageal, or gynecologic cancer who were scheduled to receive anticancer therapy (oral or intravenous) between October 2020 and March 2021. We excluded patients with physical or psychological problems. The intervention group received a symptom monitoring application for 8 weeks, and the control group received the usual clinical practice. At 8 weeks, the improvement in patient participation in symptom management was assessed, and additionally quality of life and unplanned clinical visits were assessed.

RESULTS

A total of 222 patients were included in the analysis, of whom 142 were randomly assigned to the intervention group and 71 to the control group. The intervention group reported better outcome in patient participation in symptom management than the control group at 8 weeks (mean scores of 8.5 vs. 8.0; P = 0.01). There were no significant differences between the groups in Quality of life (P = 0.88) and unplanned clinical visits (P = 0.39-0.76).

CONCLUSIONS

This study is meaningful in figuring out that the mobile-based symptom monitoring made them more engaged in their management. Future research should continue to evaluate the effects of patient participation as mediators of clinical outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04568278.

Can electronic assessment tools improve the process of shared decision-making? A systematic review

BACKGROUND

Patient involvement in decision-making plays a prominent role in improving the quality of healthcare. Despite this, shared decision-making is not routinely implemented. However, electronic assessment tools that capture patients' history, symptoms, opinions and values prior to their medical appointment are used by healthcare professionals during patient consultations to facilitate shared decision-making.

OBJECTIVE

To assess the effectiveness of electronic assessment tools to improve the shared decision-making process.

METHOD

A systematic review was conducted following PRISMA guidelines. Published literature was searched on MEDLINE, EMBASE and PsycINFO to identify potentially relevant studies. Data were extracted and analysed narratively.

RESULTS

Seventeen articles, representing 4004 participants, were included in this review. The main findings were significant improvement in patient-provider communication and provider management of patient condition in the intervention group compared to the control group. In contrast, patient-provider satisfaction and time efficiency were assessed by relatively few included studies, and the effects of these outcomes were inconclusive.

CONCLUSION

This review found that communication and healthcare professional's management of a patient's condition improves because of the use of electronic questionnaires. This is encouraging because the process of shared decision-making is reliant on high-quality communication between healthcare professionals and patients.

IMPLICATIONS

We found that this intervention is especially important for people with chronic diseases, as they need to establish a long-term relationship with their healthcare provider and agree to a treatment plan that aligns with their values. More rigorous research with validated instruments is required.

Changing bodies: A scoping review and thematic analysis of family experience during serious childhood illness

This scoping review has investigated experiences of children and parents encountering in-patient treatment for serious childhood illness, including current or potential use of technology as a support mechanism. The research questions were 1. What do children experience during illness and treatment? 2. What do parents experience when their child is seriously ill in hospital? 3. What tech and non-tech interventions support children's experience of in-patient care? The research team identified n = 22 relevant studies for review through JSTOR, Web of Science, SCOPUS and Science Direct. A thematic analysis of reviewed studies identified three key themes reflecting our research questions: Children in hospital, Parents and their children, and Information and technology. Our findings reflect that information giving, kindness and play are central in hospital experiences. Parent and child needs in hospital are interwoven and under researched. Children reveal themselves as active producers of pseudo-safe spaces who continue to prioritise normal child and adolescent experiences during in-patient care.

A mobile app for chronic disease self-management for individuals with low health literacy: A multisite randomized controlled clinical trial

Objective

The purpose of this study was to evaluate the effects of a mobile app designed to improve chronic disease self-management in older adult patients with low health literacy and who had at least one chronic health condition, and to assess the impact of delivering information at different levels of reading difficulty.

Methods

A randomized controlled trial was completed at two sites. Individuals 40 years of age and older screened for low health literacy who had at least one chronic health condition were randomly assigned to a tailored information multimedia app with text at one of three grade levels. Four primary outcomes were assessed: patient activation, chronic disease self-efficacy, health-related quality of life, and medication adherence.

Results

All groups showed overall increases in activation, self-efficacy, and health-related quality of life, but no change in medication adherence. No between-group differences were observed.

Conclusions

The mobile app was effective in increasing participants' levels of several psychosocial variables, but reading difficulty level was not significantly related to outcomes.Registered at clinicaltrials.gov NCT02922439.

The effect of m-health applications on self-care improvement in older adults: A systematic review

PARTICIPANTS

Four electronic databases were searched on March 6, 2020 including Scopus, PubMed, ISI, and Embase.

METHODS

Our search consisted of concepts of "self-care," "elderly" and "Mobile device." English journal papers and, RCTs conducted for individuals older than 60 in the last 10 years were included. A narrative approach was used to synthesize the data due to the heterogeneous nature of the data.

RESULTS

Initially, 3047 studies were obtained and finally 19 studies were identified for deep analysis. 13 outcomes were identified in m-health interventions to help older adults' self-care. Each outcome has at least one or more positive results. The psychological status and clinical outcome measures were all significantly improved.

CONCLUSION

According to the findings, it is not possible to draw a definite positive decision about the effectiveness of interventions on older adults because the measures are very diverse and have been measured with different tools. However, it might be declared that m-health interventions have one or more positive results and can be used along with other interventions to improve the health of older adults.

Identification and description of telerehabilitation assessments for individuals with neurological conditions: A scoping review

Background

The clinical adoption of telerehabilitation accelerated rapidly over the last few years, creating opportunities for clinicians and researchers to explore the use of digital technologies and telerehabilitation in the assessment of deficits related to neurological conditions. The objectives of this scoping review were to identify outcome measures used to remotely assess the motor function and participation in people with neurological conditions and report, when available, the psychometric data of these remote outcome measures.

Methods

MEDLINE (Ovid), CINAHL, PubMed, PsychINFO, EMBASE, and Cochrane databases were searched between December 13, 2020, and January 4, 2021, for studies investigating the use of remote assessments to evaluate motor function and participation in people with neurological conditions. An updated search was completed on May 9, 2022, using the same databases and search terms. Two reviewers independently screened each title and abstract, followed by full-text screening. Data extraction was completed using a pre-piloted data extraction sheet where outcome measures were reported as per the International Classification of Functioning, Disability and Health.

Results

Fifty studies were included in this review. Eighteen studies targeted outcomes related to body structures and 32 targeted those related to activity limitation and participation restriction. Seventeen studies reported psychometric data; of these, most included reliability and validity data.

Conclusion

Clinical assessments of motor function of people living with neurological conditions can be completed in a telerehabilitation or remote context using validated and reliable remote assessment measures.

Impact of the Mobile Game FightHPV on Cervical Cancer Screening Attendance: Retrospective Cohort Study

BACKGROUND

The wide availability of mobile phones has made it easy to disseminate health-related information and make it accessible. With gamification, mobile apps can nudge people to make informed health choices, including attending cervical cancer screening.

OBJECTIVE

This matched retrospective cohort study examined the association between exposure to the FightHPV mobile app gamified educational content and having a cervical exam in the following year.

METHODS

Women aged 20 to 69 years who signed an electronic consent form after downloading the FightHPV app in 2017 (intervention group) were matched 1:6 with women of the same age and with the same screening history (reference group) in 2015. To estimate the impact of exposure to the FightHPV app, we estimated cumulative incidence and hazard ratios (HRs) with 95% CIs. We used data from the Norwegian Cervical Cancer Screening Program database and Statistics Norway to determine screening participation and outcomes, respectively.

RESULTS

We matched 3860 women in the control group to 658 women in the intervention group; 6 months after enrollment, 29.6% (195/658) of the women in the intervention group and 15.21% (587/3860) of those in the reference group underwent a cervical exam (P<.01). Women exposed to the FightHPV app were 2 times more likely to attend screening (adjusted HR 2.3, 95% CI 2.0-2.7), during which they were 13 times more likely to be diagnosed with high-grade abnormality (adjusted HR 12.7, 95% CI 5.0-32.5) than the women in the reference group.

CONCLUSIONS

Exposure to the FightHPV app significantly increased cervical cancer screening attendance across the various analyses and improved detection of women with high risk for cervical cancer. For the first time, we demonstrated the effectiveness of gamification combined with mobile technology in cancer prevention by empowering women to make active health-related decisions. Gamification can significantly improve the understanding of complicated scientific concepts behind interventions and increase the acceptance of proposed cancer control measures.

Understanding the needs and perspectives of ovarian cancer patients when considering PARP inhibitor maintenance therapy: Findings from two online community events

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Patients engaged in online patient communities have numerous educational needs regarding PARP inhibitors.

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2 online events were held to sample ovarian cancer patient perceptions of, and information seeking about PARP inhibitors.

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Major themes included side effects, benefits, clinical trial results, genetic mutations, and cost.

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Patients would likely benefit from patient-centered educational tools regarding PARP inhibitors.

Objective

The online environment is an ideal setting to understand how many women seek, receive, and understand information about cancer treatment. The purpose of this study was to understand women’s needs and information-seeking around Poly ADP ribose polymerase (PARP) inhibitors, an oral medication commonly prescribed as maintenance therapy at the conclusion of primary chemotherapy for ovarian cancer.

Methods

We held online discussion events with two social media communities, #gyncsm social media on Twitter and the Smart Patients ovarian cancer community, in November 2020, to sample ovarian cancer patient perceptions of, and information seeking about PARP inhibitors. Focused questions were presented to both communities, with participants able to answer and elaborate upon these questions, as well as to add their own comments or topics. Qualitative content analysis was performed on the transcripts from the two online events.

Results

A total of 254 unique tweets and 71 messages were generated from the Twitter and Smart Patients conversations, respectively. The majority of the content from these two events could be categorized into five major themes: (1) concerns about side effects, (2) expectations of benefit, (3) desire for more information regarding clinical trials, ) (4) desire to better understand the relationship between mutation status and PARP inhibitor effectiveness, and (5) financial toxicity. Misinformation was rarely identified.

Conclusions

Women with ovarian cancer who are engaged in online patient communities have numerous educational needs regarding PARP inhibitors. Given the complexity of clinical research on PARP inhibitors, patients would likely benefit from patient-centered educational tools.

Motivational Influences Affecting Middle-Aged and Elderly Users' Participation Intention in Health-Related Social Media

Social media provide users with multi-directional dialogue for creating and sharing health information that can effectively promote the self-management of health. In regard to the 'greying' trend in social media, most researchers have studied the health-related social media (HRSM) acceptance status and use behavior of middle-aged and elderly people, and have explored the role of HRSM in this group. However, the continuous participation of users is the key to the successful operation of HRSM, and is an essential prerequisite for the subsequent HRSM behavior habits of middle-aged and elderly people. Therefore, we aimed to explore what motivations drive the first use of HRSM among middle-aged and older adults, and the impact of their perception of HRSM, after personal use, on their intention to use it continually. In the study, we used the partial least squares structural equation model (PLS-SEM) to analyze data collected from online questionnaires. The results showed that a self-protection motivation and a social motivation promoted the initial participation of middle-aged and elderly individuals. In addition, these people experienced deeper levels of perceived usefulness and perceived entertainment after their initial participation. The results also revealed that these two perceptions could positively influence middle-aged and elderly individuals' intention to continue with their participation. Our findings should help service platforms to better understand the needs of middle-aged and elderly users. This would help researchers and practitioners to gain a more complete understanding of the motivation of middle-aged and elderly people for participating in HRSM, and the related impacts this may have.

Do Patient Engagement IT Functionalities Influence Patient Safety Outcomes? A Study of US Hospitals

OBJECTIVE

Patient engagement using health information technology (IT) functionalities can be a powerful tool in managing their own care for better health outcomes. Therefore, this study explores whether patient engagement IT functionalities and electronic health record (EHR) can affect patient safety outcomes.

DESIGN

Using longitudinal study design for general acute care hospitals within the United States, we examine the interaction effects of EHR and patient engagement IT functionalities on patient safety outcomes (adverse incident rate) using a generalized estimating equation.

SETTING

Our national sample consisted of 9759 hospital-year observations from 2014 to 2018. Overall, we found a significant association between adverse incident rate and patient engagement level and EHR adoption level.

RESULTS

On average, as the combined effects of patient engagement level and EHR adoption level increases, the adverse incident rate decreases by approximately 0.49 (P < .01). Incorporating patient engagement functionalities is becoming an essential tool to improve health outcomes and will play an instrumental role in meeting meaningful use standards.

CONCLUSIONS

Our study provides insights into the potential synergy between a hospital's existing EHR maturity and patient engagement health IT functionalities in affecting organizational performance. Organizational culture and capabilities pertinent to adopting patient engagement health IT functionalities infrastructure should be established first to provide the impetus for this synergy.

User involvement throughout development of technology to support diabetes foot care: a case illustration of the devices for dignity PPIE model

The successful development and implementation of any healthcare technology requires input from multiple stakeholders including clinical leads, trust information technology directorates as well as project management and procurement. In this process however, a key stakeholder that is often overlooked is the patient.This paper illustrates the crucial importance of patient involvement to avoid poor design and poor uptake of technology and subsequently poor health outcomes.To highlight this, we share a case example evidencing involvement of people with lived experience of foot ulcers resulting from Diabetic foot neuropathy throughout identification of unmet technology needs, design requirements for the device and iterative device development and evaluation.

Efficacy of the eHealth application Oncokompas, facilitating incurably ill cancer patients to self-manage their palliative care needs: A randomized controlled trial

BACKGROUND

Many patients with incurable cancer have symptoms affecting their health-related quality of life. The eHealth application 'Oncokompas' supports patients to take an active role in managing their palliative care needs, to reduce symptoms and improve health-related quality of life (HRQOL). This randomized controlled trial was conducted to determine the efficacy of Oncokompas compared to care as usual among incurably ill cancer patients with a life expectancy of more than three months.

METHODS

Patients were recruited in six hospitals in the Netherlands. Eligible patients were randomly assigned to the intervention (direct access to Oncokompas) or the control group (access to Oncokompas after three months). The primary outcome measure was patient activation (i.e., patients' knowledge, skills and confidence for self-management). Secondary outcomes were general self-efficacy and HRQOL. Measures were assessed at baseline, two weeks after randomization, and three months after the baseline measurement. Linear mixed models were used to compare longitudinal changes between both groups from baseline to the three-month follow-up.

FINDINGS

In total, 219 patients were eligible of which 138 patients completed the baseline questionnaire (response rate 63%), and were randomized to the intervention (69) or control group (69). There were no significant differences between the intervention and control group over time in patient activation (estimated difference in change T0-T2; 1·8 (90% CI: -1·0 to 4·7)), neither in general self-efficacy and HRQOL. Of the patients in the intervention group who activated their account, 74% used Oncokompas as intended. The course of patient activation, general self-efficacy, and HRQOL was not significantly different between patients who used Oncokompas as intended versus those who did not.

INTERPRETATION

Among incurably ill cancer patients with a life expectancy of more than three months and recruited in the hospital setting, Oncokompas did not significantly improve patient activation, self-efficacy, or HRQOL.

FUNDING

ZonMw, Netherlands Organization for Health Research and Development (844001105).

Impact of Social Media, Extended Parallel Process Model (EPPM) on the Intention to Stay at Home during the COVID-19 Pandemic

Considering how communities perceive the threat and risks of COVID-19, it is essential to examine how emotional regulation stimulated through intrinsic and extrinsic incentive mechanisms via social media can reinforce ‘Stay at home’ intentions. The conceptual framework was developed using the elements of the Extended Parallel Process Model (EPPM). A self-reported questionnaire was used to measure individuals’ intention to stay at home during the pandemic based on the perceived locus of causality as a part of self-determination theory. The empirical research was conducted on a sample of 306 USA respondents. The study results indicate that both components of the EPPM—efficacy and threat—positively affect ‘stay at home’ intentions. Moreover, a positive effect of efficacy on threats was found, as was a moderating effect of threats on the relationship between efficacy and the intention to stay at home. Meanwhile, the influence of social media exposure on threats and behavioral intentions was not significant. People are likely to stay at home as a preventive measure during COVID-19 if there is enough threats and efficacy. However, the abundance of information and opinions in social media can lead to a decreased perceived threat and might disrupt the acceptance of preventive actions.

Personalizing self-management via behavioral predictive analytics with health education for improved self-efficacy

The objective of this research is to investigate the feasibility of applying behavioral predictive analytics to optimize diabetes self-management. This research also presents a use case on the application of the anaytics technology platform to deliver an online diabetes prevention program developed by the CDC. The goal of personalized self-management is to affect individuals on behavior change toward actionable health activities on glucose self-monitoring, diet management, and exercise. In conjunction with personalizing self-management, the content of the CDC diabetes prevention program was delivered online directly to a mobile device. The proposed behavioral predictive analytics relies on manifold clustering to identify subpopulations by behavior readiness characteristics exhibiting non-linear properties. Utilizing behavior readiness data of 148 subjects, subpopulations are created using manifold clustering to target personalized actionable health activities. This paper reports the preliminary result of personalizing self-management for 22 subjects under different scenarios and the outcome on improving diabetes self-efficacy of 34 subjects.

•

Assess behavior readiness via a proven psychology model: theory of planned behavior

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Segment patients into groups by behavior readiness via advanced manifold clustering

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Enable a closed loop via mobile app to support prediction for dynamic personalization

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Deliver asynchronous health education with demonstrated self-efficacy improvement

Type 2 and pre-diabetes is a chronic disease that affects over 115 million Americans and over 440 million people worldwide. Active patient self-management improves health outcome and lowers healthcare cost. Yet, less than 25% of patients are engaged in active self-health management. Behavioral predictive analytics was developed to improve patient engagement. It applies an advanced clustering technique in machine learning to segment patients into subpopulations by behavior readiness. It dynamically personalizes actionable health activities such as self-monitoring of glucose as well as health education based on one’s behavior readiness. This paper reports (1) the practical feasibility of an engagement channel through an individual’s mobile device to deliver health education for improving diabetes self-efficacy and (2) the validated outcomes of the behavioral predictive analytics to improve engagement in self-health management.

Nursing interventions to promote patient engagement in cancer care: A systematic review

BACKGROUND

Patient engagement is becoming increasingly relevant in cancer care. Nurses have been recognized as crucial in promoting active engagement of people with carcer. Despite the growing interest on this topic and the relevance of patient engagement interventions to improve patient' conditions, to the best of our knowledge there is no synthesis of the literature on the characteristics and impact of nurse-led patient engagement intervention for adults with cancer.

OBJECTIVE

This review aims to systematically summarize nurse-led patient engagement interventions for adult patients diagnosed with cancer and to describe the state of the art on the impact of these interventions on patients' outcomes.

DESIGN

Systematic review.

SETTING(S)

Hospital and outpatient care.

PARTICIPANTS

Adults with cancer.

METHODS

We searched PubMed, CINAHL, Embase, Scopus, Web of Science and Cochrane library from 2005 to 2021. We included randomized clinical trials, quasi-experimental studies and single-arm, pre-test/post-test studies written in English, Spanish, French and Italian. All the included articles reported nurse-led patient engagement interventions designed to improve patient engagement in the management of their own disease and to assess outcomes related to patient engagement. We appraised the methodological quality of the included articles with the Joanna Briggs Institute appraisal tools.

RESULTS

Twenty-four articles met the inclusion criteria. Four distinct types of nurse-led engagement interventions, showing different degrees of complexity, were classified: (i) generic health information delivery, (ii) patient-specific information delivery, (iii) personalized decision support and (iv) motivational support. These interventions were effective in supporting behavioral changes and reducing symptoms burden of adults with cancer. In addition, many of the retrieved studies showed significant increase in patients' knowledge, informed decisions making, perceived quality of nurse-patient interaction and quality of life after the engagement intervention.

CONCLUSIONS

This systematic review summarized a wide variety of nurse-led patient engagement interventions with different degrees of complexity. In addition, a significant positive effect of these interventions was found on outcomes such as patient activation, self-efficacy, health literacy and quality of life. Among those identified, nurse-led motivational interventions appear to be the most effective ones for improving engagement outcomes in adults with cancer.

REGISTRATION NUMBER

PROSPERO Nr: CRD42020146189.

Behavioral Predictive Analytics Towards Personalization for Self-management: a Use Case on Linking Health-Related Social Needs

The objective of this research is to investigate the feasibility of applying behavioral predictive analytics to optimize patient engagement in diabetes self-management, and to gain insights on the potential of infusing a chatbot with NLP technology for discovering health-related social needs. In the U.S., less than 25% of patients actively engage in self-health management, even though self-health management has been reported to associate with improved health outcomes and reduced healthcare costs. The proposed behavioral predictive analytics relies on manifold clustering to identify subpopulations segmented by behavior readiness characteristics that exhibit non-linear properties. For each subpopulation, an individualized auto-regression model and a population-based model were developed to support self-management personalization in three areas: glucose self-monitoring, diet management, and exercise. The goal is to predict personalized activities that are most likely to achieve optimal engagement. In addition to actionable self-health management, this research also investigates the feasibility of detecting health-related social needs through unstructured conversational dialog. This paper reports the result of manifold clusters based on 148 subjects with type 2 diabetes and shows the preliminary result of personalization for 22 subjects under different scenarios, and the preliminary results on applying Latent Dirichlet Allocation to the conversational dialog of ten subjects for discovering social needs in five areas: food security, health (insurance coverage), transportation, employment, and housing.

Enhanced Recovery After Surgery (ERAS) for Cranial Tumor Resection: A Review

Enhanced Recovery After Surgery (ERAS) protocols describe a standardized method of preoperative, perioperative, and postoperative care to enhance outcomes and minimize complication risks surrounding elective surgical intervention. A growing body of evidence is being generated as we learn to apply principles of ERAS standardization to neurosurgical patients. First applied in spinal surgery, ERAS protocols have been extended to cranial neuro-oncological procedures. This review synthesizes recent findings to generate evidence-based guidelines to manage neurosurgical oncology patients with standardized systems and assess ability of these systems to coordinate multidisciplinary, patient-centric care efforts. Furthermore, we highlight the potential utility of multimedia, app-based communication platforms to facilitate patient education, autonomy, and team communication within each of the three settings.

Clinician documentation of patient centered care in the electronic health record

Background

In this study we sought to explore the possibility of using patient centered care (PCC) documentation as a measure of the delivery of PCC in a health system.

Methods

We first selected 6 VA medical centers based on their scores for a measure of support for self-management subscale from a national patient satisfaction survey (the Survey for Healthcare Experience-Patients). We accessed clinical notes related to either smoking cessation or weight management consults. We then annotated this dataset of notes for documentation of PCC concepts including: patient goals, provider support for goal progress, social context, shared decision making, mention of caregivers, and use of the patient's voice. We examined the association of documentation of PCC with patients’ perception of support for self-management with regression analyses.

Results

Two health centers had < 50 notes related to either tobacco cessation or weight management consults and were removed from further analysis. The resulting dataset includes 477 notes related to 311 patients total from 4 medical centers. For a majority of patients (201 out of 311; 64.8%) at least one PCC concept was present in their clinical notes. The most common PCC concepts documented were patient goals (patients n = 126; 63% clinical notes n = 302; 63%), patient voice (patients n = 165, 82%; clinical notes n = 323, 68%), social context (patients n = 105, 52%; clinical notes n = 181, 38%), and provider support for goal progress (patients n = 124, 62%; clinical notes n = 191, 40%). Documentation of goals for weight loss notes was greater at health centers with higher satisfaction scores compared to low. No such relationship was found for notes related to tobacco cessation.

Conclusion

Providers document PCC concepts in their clinical notes. In this pilot study we explored the feasibility of using this data as a means to measure the degree to which care in a health center is patient centered. Practice Implications: clinical EHR notes are a rich source of information about PCC that could potentially be used to assess PCC over time and across systems with scalable technologies such as natural language processing.

Information and communication technologies in Patients with Immune-Mediated Inflammatory Diseases: Cross-Sectional Survey (Preprint)

Background

Information and communication technologies (ICTs) are changing the traditional health care model and redefining personalized health. ICTs offer effective communication and real-time monitoring of patients and provide additional data to support clinical decision-making, improve the quality of care, and contribute to the empowerment of patients. However, evidence on the use of ICTs and digital preferences of immune-mediated inflammatory disease (IMID) patients is scarce.

Objective

The aim of this study is to describe the degree of use of ICTs in patients with IMIDs (including rheumatic diseases, inflammatory bowel diseases, and psoriasis), identify their needs, and analyze their interest in the use of apps as tools for better management of their disease.

Methods

A questionnaire was created by a multidisciplinary team including pharmacists, rheumatologists, gastroenterologists, dermatologists, and nurses with experience in ICTs applied to the field of IMID. The survey included 27 questions organized into 3 blocks: (1) sociodemographic characteristics, (2) ICT use for health-related information, and (3) patient expectations about mobile health.

Results

A total of 472 questionnaires were analyzed. Overall, 52.9% (250/472) of patients were diagnosed with a rheumatologic disease, 39.4% (186/472) with inflammatory bowel disease, and 12.3% (58/472) with psoriasis. The state of health was considered good by 45.6% (215/472) of patients. Patients were interested in staying informed about health issues in 86.9% (410/427) of cases and sought health-related information mainly from the internet (334/472, 70.8%) and health care professionals (318/472, 67.4%). Overall, 13.6% (64/472) did not trust the health information they found in internet. Of the patients, 42.8% (202/472) had a health app, and 42.2% (199/472) had found it on their own. Patients would like a health app to help mainly to manage appointments (281/472, 59.5%), obtain information about their diseases and treatments (274/472, 58.1%), and get in contact with health professionals (250/472, 53.0%). Overall, 90.0% (425/472) of patients reported they would use an app to manage their IMID if their health professional recommended it, and 58.0% (274/472) would pay or probably be willing to pay for it.

Conclusions

IMID patients were very interested in finding health-related information via ICTs, especially using smartphones and apps recommended by health professionals. Appointment management, advice on disease and treatment management, and personalized communication with health professionals were the most desired app features identified. Health professionals should play an essential role in recommending and validating these tools to ensure they are of high quality.

The Promises and Perils of Social Media for Pediatric Rheumatology

The advent of social media has revolutionized and empowered communities of people living with rare diseases. Social media has enabled families of children with similar pediatric rheumatic diseases (PRDs) to meet regardless of geographic distance, allowing them to support each other and join together to advocate on behalf of their children. Researchers have also leveraged social media to learn about the health of patients and their communities. This article reviews the promises and perils of social media related to health, focusing on its potential use to support research and care of children with PRD.

Filipinos' health information-seeking behaviors and their implications for COVID-19 vaccination

OBJECTIVES

This study examined Filipinos' health information-seeking behaviors, specifically their information engagement and apprehension of getting the COVID-19 vaccine, the reasons for vaccination, and how these factors influenced their decision to get vaccinated.

DESIGN

Quantitative, cross-sectional, and predictive approaches.

SAMPLE

This study conducted a national online survey using convenience sampling (n = 2709).

MEASUREMENT

The Health Information Orientation Scale (HIOS) and Statista.com's "reasons for not getting a COVID-19 vaccination" were used to collect data. Demographic characteristics that predict information engagement and apprehension were identified using multivariate linear regression analysis.

RESULTS

Responses to information engagement and apprehension revealed "often true" and "sometimes true," respectively. The majority of participants intended to receive the COVID-19 vaccine. "Concerned about the vaccine's safety" is the most common reason for not getting vaccinated. Female gender, college graduate, employed, and using social media to obtain COVID-19 vaccine information were all significant predictors of information engagement and apprehension. Information engagement and apprehension were predicted by age and religion, respectively.

CONCLUSIONS

Policymakers should consider how people seek information regarding the COVID-19 vaccine and why some people refuse to get vaccinated. Additionally, public health nurses should educate the public about the safety of COVID-19 vaccines.

Intersection of Health Informatics Tools and Community Engagement in Health-Related Research to Reduce Health Inequities: Scoping Review

BACKGROUND

The exponential growth of health information technology has the potential to facilitate community engagement in research. However, little is known about the use of health information technology in community-engaged research, such as which types of health information technology are used, which populations are engaged, and what are the research outcomes.

OBJECTIVE

The objectives of this scoping review were to examine studies that used health information technology for community engagement and to assess (1) the types of populations, (2) community engagement strategies, (3) types of health information technology tools, and (4) outcomes of interest.

METHODS

We searched PubMed and PCORI Literature Explorer using terms related to health information technology, health informatics, community engagement, and stakeholder involvement. This search process yielded 967 papers for screening. After inclusion and exclusion criteria were applied, a total of 37 papers were analyzed for key themes and for approaches relevant to health information technology and community engagement research.

RESULTS

This analysis revealed that the communities engaged were generally underrepresented populations in health-related research, including racial or ethnic minority communities such as Black/African American, American Indian/Alaska Native, Latino ethnicity, and communities from low socioeconomic backgrounds. The studies focused on various age groups, ranging from preschoolers to older adults. The studies were also geographically spread across the United States and the world. Community engagement strategies included collaborative development of health information technology tools and partnerships to promote use (encompassing collaborative development, use of community advisory boards, and focus groups for eliciting information needs) and use of health information technology to engage communities in research (eg, through citizen science). The types of technology varied across studies, with mobile or tablet-based apps being the most common platform. Outcomes measured included eliciting user needs and requirements, assessing health information technology tools and prototypes with participants, measuring knowledge, and advocating for community change.

CONCLUSIONS

This study illustrates the current landscape at the intersection of health information technology tools and community-engaged research approaches. It highlights studies in which various community-engaged research approaches were used to design culturally centered health information technology tools, to promote health information technology uptake, or for engagement in health research and advocacy. Our findings can serve as a platform for generating future research upon which to expand the scope of health information technology tools and their use for meaningful stakeholder engagement. Studies that incorporate community context and needs have a greater chance of cocreating culturally centered health information technology tools and better knowledge to promote action and improve health outcomes.

Efficacy of Mobile Health for Self-management of Cardiometabolic Risk Factors: A Theory-Guided Systematic Review

BACKGROUND

Although mobile health (mHealth) technologies are burgeoning in the research arena, there is a lack of mHealth interventions focused on improving self-management of individuals with cardiometabolic risk factors (CMRFs).

OBJECTIVE

The purpose of this article was to critically and systematically review the efficacy of mHealth interventions for self-management of CMRF while evaluating quality, limitations, and issues with disparities using the technology acceptance model as a guiding framework.

METHODS

PubMed, CINAHL, EMBASE, and Lilacs were searched to identify research articles published between January 2008 and November 2018. Articles were included if they were published in English, included adults, were conducted in the United States, and used mHealth to promote self-care or self-management of CMRFs. A total of 28 articles were included in this review.

RESULTS

Studies incorporating mHealth have been linked to positive outcomes in self-management of diabetes, physical activity, diet, and weight loss. Most mHealth interventions included modalities such as text messaging, mobile applications, and wearable technologies. There was a lack of studies that are (1) in resource-poor settings, (2) theoretically driven, (3) community-engaged research, (4) measuring digital/health literacy, (5) measuring and evaluating engagement, (6) measuring outcomes related to disease self-management, and (7) focused on vulnerable populations, especially immigrants.

CONCLUSION

There is still a lack of mHealth interventions created specifically for immigrant populations, especially within the Latino community-the largest growing minority group in the United States. In an effort to meet this challenge, more culturally tailored mHealth interventions are needed.

The extent of engagement with telehealth approaches by patients with advanced cancer: A systematic review (Preprint)

Background

Telehealth approaches are increasingly being used to support patients with advanced diseases, including cancer. Evidence suggests that telehealth is acceptable to most patients; however, the extent of and factors influencing patient engagement remain unclear.

Objective

The aim of this review is to characterize the extent of engagement with telehealth interventions in patients with advanced, incurable cancer reported in the international literature.

Methods

This systematic review was registered with PROSPERO (International Prospective Register of Systematic Reviews) and is reported in line with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines. A comprehensive search of databases was undertaken for telehealth interventions (communication between a patient with advanced cancer and their health professional via telehealth technologies), including MEDLINE, Embase, CINAHL, PsycINFO, Cochrane Library, Sociological Abstracts, and Web of Science, from the inception of each electronic database up until December 31, 2020. A narrative synthesis was conducted to outline the design, population, and context of the studies. A conceptual framework of digital engagement comprising quantitative behavioral measures (frequency, amount, duration, and depth of use) framed the analysis of engagement with telehealth approaches. Frequency data were transformed to a percentage (actual patient engagement as a proportion of intended engagement), and the interventions were characterized by intensity (high, medium, and low intended engagement) and mode of delivery for standardized comparisons across studies.

Results

Of the 19,676 identified papers, 40 (0.2%) papers covering 39 different studies were eligible for inclusion, dominated by US studies (22/39, 56%), with most being research studies (26/39, 67%). The most commonly reported measure of engagement was frequency (36/39, 92%), with substantial heterogeneity in the way in which it was measured. A standardized percentage of actual patient engagement was derived from 17 studies (17/39, 44%; n=1255), ranging from 51% to 100% with a weighted average of 75.4% (SD 15.8%). A directly proportional relationship was found between intervention intensity and actual patient engagement. Higher engagement occurred when a tablet, computer, or smartphone app was the mode of delivery.

Conclusions

Understanding engagement for people with advanced cancer can guide the development of telehealth approaches from their design to monitoring as part of routine care. With increasing telehealth use, the development of meaningful and context- and condition-appropriate measures of telehealth engagement is needed to address the current heterogeneity in reporting while improving the understanding of optimal implementation of telehealth for oncology and palliative care.

Trial Registration

PROSPERO (International Prospective Register of Systematic Reviews) CRD42018117232; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42018117232

Evaluation of the functional goal-setting and self-management tool for osteoarthritis, a patient-centred tool to improve osteoarthritis care

OBJECTIVE

Recent American College of Rheumatology guidelines emphasise functional improvement as part of osteoarthritis (OA) management. We developed and evaluated a tool to promote provider and patient engagement in functional goal setting in OA care.

METHODS

We developed the Functional Goal-setting And Self-management Tool (FAST-OA) with clinician input and pilot tested it in two US outpatient clinics. Baseline and end-of-project surveys addressed attitudes toward incorporating function into care and tool evaluation. We analysed survey data descriptively.

RESULTS

Nineteen providers and 49 patients completed surveys. At baseline, both groups endorsed the importance of functional assessment and goal setting. Providers perceived challenges to patients' ability to communicate about function. Both patients and providers highly valued the FAST-OA to promote collaborative discussion and prioritising function. More than half of both groups agreed that they would recommend it to others. End-of-project results suggested changes in provider attitudes toward patients' ability to communicate functional progress. While participants valued the FAST-OA, streamlining content may foster ongoing use.

CONCLUSION

This pilot study illustrates the potential of a function-focused, patient-facing tool to introduce self-management goal-setting strategies into busy clinical workflow, foster the provider-patient relationship, and encourage alignment with guidelines. These results can inform tailoring of tools for use in practice and to address needs of patients and providers optimally.

User-centered requirements engineering to manage the fuzzy front-end of open innovation in e-health: A study on support systems for seniors' physical activity

BACKGROUND

Although e-health potentials for improving health systems in their safety, quality and efficiency has been acknowledged, a large gap between the postulated and empirically demonstrated benefits of e-health technologies has been ascertained. E-health development has classically been technology-driven, often resulting in the design of devices and applications that ignore the complexity of the real-world setting, thus leading to slow diffusion of innovations to care. Therefore, e-health innovation needs to consider the mentioned complexity already from the start. The early phases of innovation, fuzzy front-end (FFE) defined as "the period between when an opportunity is first considered and when an idea is judged ready for development" has been identified to have the highest impact on the innovation process and its outcome. The FFE has been recognized as the most difficult stage to manage in the innovation process as it involves a high degree of uncertainty. Such a phase becomes even more difficult when different sectors and organizations are involved. Therefore, effective methods for involving different organizations and user groups in the FFE of innovation are needed.

OBJECTIVE

The aim of this study was to manage the FFE of a collaborative, open innovation (OI) process, to define a software system supporting seniors' physical activity (PA) by applying a framework of methods from software requirements engineering (RE) to elicit and analyze needs and requirements of users and stakeholders, as well as the context in which the system should be used.

METHODS

Needs and requirements of three future user groups were explored through individual- and focus group interviews. Requirements were categorized and analyzed in a workshop with a multidisciplinary team: a system overview was produced by conceptual modelling using elicited functional requirements; high-level non-functional requirements were negotiated and prioritized. Scenario descriptions of system's supportive roles in different phases of a behavioral change process were developed.

RESULTS

User-centered RE methods were successfully used to define a system and a high-level requirements description was developed based on needs and requirements from three identified user groups. The system aimed to support seniors' motivation for PA and contained four complementary sub-systems. The outcome of the study was a Concept of Operations (ConOps) document that specified the high-level system requirements in a way that was understandable for stakeholders. This document was used both to identify and recruit suitable industrial partners for the following open innovation development and to facilitate communication and collaboration in the innovation process.

CONCLUSIONS

Applying software RE methods and involving user groups in the early phases of OI can contribute to the development of new concepts that meet complex real-world requirements. Different user groups can complement each other in conveying needs and requirements from which systems can be designed. Empirical studies applying and exploring different methods used to define new e-health solutions can contribute with valuable knowledge about handling innovation FFE.

Smartphone Application Allowing Physicians to Call Patients Associated with Increased Physician Productivity

BACKGROUND

Telehealth and other technologies that enable remote patient-physician communication technologies have widespread use among physicians and other health care providers, but the impacts of these technologies on physician productivity are not well known.

OBJECTIVE

To determine whether a HIPAA-compliant application that allows physicians to call patients from their personal cell phones is associated with an increase in physician productivity.

DESIGN, SETTING, AND PARTICIPANTS

We used a 100% sample of Medicare claims and longitudinal physician-level data to examine whether physician use of a smartphone application that enables physician-patient phone calls is associated with changes in Medicare patient volume and services. We compared early adopters of the application, 31,577 physicians providing Part B services who initiated use of the application between January 2014 and December 2017, with later adopters, 22,988 physicians who initiated use between January 2018 and July 2019.

MAIN MEASURES

Physician productivity was measured as total Medicare Part B beneficiaries, total Part B services provided, the number of Part B beneficiaries with any evaluation and management (E&M) service, the total number of E&M services provided, and the average number of E&M services provided per beneficiary.

KEY RESULTS

Following application use, there was a 0.52 increase (95% CI: 0.19 to 0.85) in the monthly number of Part B beneficiaries seen. This difference translates to a 0.8% increase in Part B beneficiaries. Similar increases were observed for the number of unique beneficiaries for which the physician provided E&M services-a 0.50 increase (95% CI: 0.27 to 0.73) or 1.2%. There was a 0.43 increase (95% CI: 0.07 to 0.78) in monthly E&M services (0.7% increase).

CONCLUSIONS

Physicians who used a freely available smartphone application modestly increased their total Medicare beneficiary volume and total number of E&M services provided, suggesting potential improvements in physician productivity.

A Personalized Mobile Health Program for Type 2 Diabetes During the COVID-19 Pandemic: Single-Group Pre-Post Study

Background

With increasing type 2 diabetes prevalence, there is a need for effective programs that support diabetes management and improve type 2 diabetes outcomes. Mobile health (mHealth) interventions have shown promising results. With advances in wearable sensors and improved integration, mHealth programs could become more accessible and personalized.

Objective

The study aimed to evaluate the feasibility, acceptability, and effectiveness of a personalized mHealth-anchored intervention program in improving glycemic control and enhancing care experience in diabetes management. The program was coincidentally implemented during the national-level lockdown for COVID-19 in Singapore, allowing for a timely study of the use of mHealth for chronic disease management.

Methods

Patients with type 2 diabetes or prediabetes were enrolled from the Singapore Armed Forces and offered a 3-month intervention program in addition to the usual care they received. The program was standardized to include (1) in-person initial consultation with a clinical dietitian; (2) in-person review with a diabetes specialist doctor; (3) 1 continuous glucose monitoring device; (4) access to the mobile app for dietary intake and physical activity tracking, and communication via messaging with the dietitian and doctor; and (5) context-sensitive digital health coaching over the mobile app. Medical support was rendered to the patients on an as-needed basis when they required advice on adjustment of medications. Measurements of weight, height, and glycated hemoglobin A_1c (HbA_1c) were conducted at 2 in-person visits at the start and end of the program. At the end of the program, patients were asked to complete a short acceptability feedback survey to understand the motivation for joining the program, their satisfaction, and suggestions for improvement.

Results

Over a 4-week recruitment period, 130 individuals were screened, the enrollment target of 30 patients was met, and 21 patients completed the program and were included in the final analyses; 9 patients were lost to follow-up (full data were not available for the final analyses). There were no differences in the baseline characteristics between patients who were included and excluded from the final analyses (age category: P=.23; gender: P=.21; ethnicity: P>.99; diabetes status category: P=.52, medication adjustment category: P=.65; HbA_1c category: P=.69; BMI: P>.99). The 21 patients who completed the study rated a mean of 9.0 out of 10 on the Likert scale for both satisfaction questions. For the Yes-No question on benefit of the program, all of the patients selected “Yes.” Mean HbA_1c decreased from 7.6% to 7.0% (P=.004). There were no severe hypoglycemia events (glucose level <3.0 mmol/L) reported. Mean weight decreased from 76.8 kg to 73.9 kg (P<.001), a mean decrease of 3.5% from baseline weight. Mean BMI decreased from 27.8 kg/m² to 26.7 kg/m² (P<.001).

Conclusions

The personalized mHealth program was feasible, acceptable, and produced significant reductions in HbA_1c (P=.004) and body weight (P<.001) in individuals with type 2 diabetes. Such mHealth programs could overcome challenges posed to chronic disease management by COVID-19, including disruptions to in-person health care access.

The Best Online Tools Based on Media Preference Reflected by Health Information Received on Social Media amongst Diabetic Patients in Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia

Background

Diabetes mellitus has become a major public health problem globally. Social media could be useful in assisting clinical practice and sharing health-related information to improve self-management and to promote a positive behavioural change. This study aims to develop a guide on the best online tools by determining the media preference reflected by health-related information received from social media amongst diabetic patients in Hospital Canselor Tuanku Muhriz (HCTM), Universiti Kebangsaan Malaysia, Kuala Lumpur.

Methods

This study was conducted cross-sectional on 174 respondents, who were selected by using a simple random sampling method. Socio-demographic data and the use of the internet and media for health-related information were obtained via questionnaires.

Results

The most preferred social media used for searching and sharing health-related information was WhatsApp (73.6%), followed by Facebook (67.8%), Instagram (18.4%) and Twitter (17.2%). The social media preference related to socio-demographic data of age was statistically significant (P < 0.002), which had a medium effect. Furthermore, the media preference was not significantly related to health-related information searched or shared on social media and the frequency of usage.

Conclusion

Indeed, the social media have been an essential media platform to enhance public awareness concerning public health. This calls for evolution to further enhance the use of social media amongst healthcare practitioners to emphasise health promotion and empower the patients to play an active role in their healthcare. This study provides a guideline for the medical researchers, practitioners or healthcare providers in choosing WhatsApp as an online medium to communicate with diabetic patients in the future, specifically in Malaysia.