Analysis of Healthy Coping Feedback Messages from Diabetes Mobile Apps: Validation Against an Evidence-Based Framework.

BACKGROUND: In this study, we focused on Healthy Coping, a key principle of ADCES7 Self-Care Behaviors® (ADCES7®) that enables people with diabetes to achieve health goals for self-care. We aimed to validate Healthy Coping-related feedback messages from diabetes mobile apps against the framework based on behavioral change theories. METHODS: We searched apps using the search terms: "diabetes," "blood sugar," "glucose," and "mood" from iTunes and Google Play stores. We entered a range of values on 3 Healthy Coping domains: (1) diabetes-related measures including blood glucose, blood pressure, HbA1c, weight, (2) physical exercise/activity, and (3) mood to generate feedback messages. We used a framework by adopting validated behavioral change theory-based models to evaluate the feedback messages against 3 dimensions of timing, intention, and content (feedback purpose and feedback response). The feedback purposes in this study were categorized into 7 purposes; warning, suggestion, self-monitoring, acknowledging, reinforcement, goal setting, and behavior contract. RESULTS: We identified 1,749 apps from which 156 diabetes mobile apps were eligible and generated 473 feedback messages. The majority of generated feedback messages were related to blood sugar measurement. Only feedback messages on blood sugar under diabetes-related measures and mood domains encompassed all 7 feedback purposes under the content dimension. CONCLUSIONS: Many feedback messages neither supported Healthy Coping domains nor followed the behavioral theory-based framework. It is important that feedback messages be structured around the dimensions of the behavioral theory-based framework to promote behavior change. Furthermore, our framework had the generalizability that can be used in other clinical areas.

COVID-19 vaccine equity and health equity conversations on Twitter.

This study used social network analysis and trending hashtags on Twitter to identify trends related to health and vaccine equity during the Omicron wave. The analysis was conducted using consumer-friendly platforms/tools such as the Healthcare Hashtag Project and NodeXL. The study found that during the Omicron wave, there was a higher volume of tweets related to the more specific hashtag #VaccineEquity, as compared to the more general topic of #HealthEquity. The study also identified the top influencers for these hashtags and how they changed over time. The study proposes a combination of existing tools and approaches, including ontological surveillance and social network analysis, to develop proactive strategies that respond to public opinion in a timely manner. Social network analysis tools could also be useful for healthcare organizations and providers in training their staff involved in social media management to develop better social media communication strategies.

SEE-diabetes, a patient-centered diabetes self-management education and support for older adults: Findings and information needs from providers' perspectives.

BACKGROUND AND AIMS: Diabetes self-management education and support (DSMES) can improve clinical and health outcomes of people with diabetes. However, DSMES has been underutilized because of many barriers. We aimed to develop a patient-centered educational aid, SEE-Diabetes (Support-Engage-Empower-Diabetes), that facilitates shared decision-making about DSMES between patient and provider during the follow-up visit. We investigated the information needs to inform the design of the SEE-Diabetes from the providers' perspective. METHODS: We conducted an online survey (N = 42) and three focus groups (N = 13) involving providers who have experience managing diabetes in older patients. Survey collected demographics and assessed knowledge of DSMES. During the subsequent focus groups, participants evaluated the Assessment and Plan section of three clinic notes of older people with diabetes. We also demonstrated the potential workflow of DSMES documentation using SEE-Diabetes during clinical practice. RESULTS: The survey showed 60% of providers were familiar with DSMES. Focus group findings showed clinic notes should convey concise information at an appropriate reading level, numbered problems, and less medical jargon to improve the readability of clinic notes. Application of SMART (Specific, Measurable, Attainable, Relevant, Time-bound) goals was suggested to deliver effective diabetes self-care information. CONCLUSIONS: Providers should consider adopting validated DSMES guidelines along with goal-setting strategies to provide patient-centered care. The research team will integrate the provider recommendations when we develop SEE-Diabetes.

SEE-Diabetes, a patient-centered diabetes self-management education and support for older adults: Findings and information needs from patients' perspectives.

AIMS: This study identified the information needs of people with diabetes aged 65 and older through surveys and focus groups to inform the development of a patient-centered educational decision aid for diabetes care, SEE-Diabetes (Support-Engage-Empower-Diabetes). METHODS: We conducted survey (N = 37) and three focus groups (N = 9). The survey collected demographics, diabetes duration, insulin usage, and clinic notes accessibility through a patient portal. In focus groups, participants evaluated the Assessment and Plan section of three selected deidentified clinic notes to assess readability and helpfulness for diabetes care. RESULTS: The mean age of participants was 66 (24-82, SD = 12), and 22 were female (60%). The mean diabetes duration was 20.9 years (1-63, SD=15). Most participants (80%) read their clinical notes via patient portal. In the focus groups, the readability of clinic notes was noted as a primary concern because of medical abbreviations and poor formatting. Participants found the helpfulness of clinic notes was negatively impacted by vague or insufficient self-care information. CONCLUSIONS: We found the high use of patient portal for reading clinic notes, which offers a use case opportunity for the proposed SEE-Diabetes educational aid. Feedback about the readability and helpfulness of clinic notes will be considered during the design process.

Transforming AADE7 for Use in an Evaluation Framework for Health Information Technology in Diabetes Mellitus.

There is no validated framework to evaluate health information technology (HIT) for diabetes self-management education and support (DSMES). AADE7 Self-Care Behaviors is a patient-centered DSMES designed by the American Association of Diabetes Educators (AADE). We developed a codebook based on the AADE7 Self-Care Behaviors principles as an evaluation framework. In this commentary, we demonstrate the real-life applications of this codebook through three diabetes research studies. The first study analyzed features of mobile diabetes applications. The second study evaluated provider documentation patterns in electronic health records (EHRs) to deliver ongoing patient-centered DSMES. The third study analyzed feedback messages from diabetes apps. We found that this codebook, based on AADE7, can be instrumental as a framework for research, as well as real-life use in HIT for DSMES principles.

Using the RE-AIM framework to evaluate internal and external validity of mobile phone-based interventions in diabetes self-management education and support.

OBJECTIVE: We evaluated the extent to which studies that tested short message service (SMS)- and application (app)-based interventions for diabetes self-management education and support (DSMES) report on factors that inform both internal and external validity as measured by the RE-AIM (Reach, Efficacy/Effectiveness, Adoption, Implementation, and Maintenance) framework. MATERIALS AND METHODS: We systematically searched PubMed, Embase, Web of Science, CINAHL (Cumulative Index of Nursing and Allied Health Literature), and IEEE Xplore Digital Library for articles from January 1, 2009, to February 28, 2019. We carried out a multistage screening process followed by email communications with study authors for missing or discrepant information. Two independent coders coded eligible articles using a 23-item validated data extraction tool based on the RE-AIM framework. RESULTS: Twenty studies (21 articles) were included in the analysis. The comprehensiveness of reporting on the RE-AIM criteria across the SMS- and app-based DSMES studies was low. With respect to internal validity, most interventions were well described and primary clinical or behavioral outcomes were measured and reported. However, gaps exist in areas of attrition, measures of potential negative outcomes, the extent to which the protocol was delivered as intended, and description on delivery agents. Likewise, we found limited information on external validity indicators across adoption, implementation, and maintenance domains. CONCLUSIONS: Reporting gaps were found in internal validity but more so in external validity in the current SMS- and app-based DSMES literature. Because most studies in this review were efficacy studies, the generalizability of these interventions cannot be determined. Future research should adopt the RE-AIM dimensions to improve the quality of reporting and enhance the likelihood of translating research to practice.

Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes.

PURPOSE OF REVIEW: To identify a common effect of health information technologies (HIT) on the management of cardiovascular disease (CVD) risk factors among people with type 2 diabetes (T2D) across randomized control trials (RCT). RECENT FINDINGS: CVD is the most frequent cause of morbidity and mortality among patients with diabetes. HIT are effective in reducing HbA1c; however, their effect on cardiovascular risk factor management for patients with T2D has not been evaluated. We identified 21 eligible studies (23 estimates) with measurement of SBP, 20 (22 estimates) of DBP, 14 (17 estimates) of HDL, 14 (17 estimates) of LDL, 15 (18 estimates) of triglycerides, and 10 (12 estimates) of weight across databases. We found significant reductions in SBP, DBP, LDL, and TG, and a significant improvement in HDL associated with HIT. As adjuvants to standard diabetic treatment, HIT can be effective tools for improving CVD risk factors among patients with T2D, especially in those whose CVD risk factors are not at goal.

Designing a medication timeline for patients and physicians.

Objective: Most electronic health records display historical medication information only in a data table or clinician notes. We designed a medication timeline visualization intended to improve ease of use, speed, and accuracy in the ambulatory care of chronic disease. Materials and Methods: We identified information needs for understanding a patient medication history, then applied human factors and interaction design principles to support that process. After research and analysis of existing medication lists and timelines to guide initial requirements, we hosted design workshops with multidisciplinary stakeholders to expand on our initial concepts. Subsequent core team meetings used an iterative user-centered design approach to refine our prototype. Finally, a small pilot evaluation of the design was conducted with practicing physicians. Results: We propose an open-source online prototype that incorporates user feedback from initial design workshops, and broad multidisciplinary audience feedback. We describe the applicable design principles associated with each of the prototype's key features. A pilot evaluation of the design showed improved physician performance in 5 common medication-related tasks, compared to tabular presentation of the same information. Discussion: There is industry interest in developing medication timelines based on the example prototype concepts. An open, standards-based technology platform could enable developers to create a medication timeline that could be deployable across any compatible health IT application. Conclusion: The design goal was to improve physician understanding of a patient's complex medication history, using a medication timeline visualization. Such a design could reduce temporal and cognitive load on physicians for improved and safer care.

AMIA Board White Paper: AMIA 2017 core competencies for applied health informatics education at the master's degree level.

This White Paper presents the foundational domains with examples of key aspects of competencies (knowledge, skills, and attitudes) that are intended for curriculum development and accreditation quality assessment for graduate (master's level) education in applied health informatics. Through a deliberative process, the AMIA Accreditation Committee refined the work of a task force of the Health Informatics Accreditation Council, establishing 10 foundational domains with accompanying example statements of knowledge, skills, and attitudes that are components of competencies by which graduates from applied health informatics programs can be assessed for competence at the time of graduation. The AMIA Accreditation Committee developed the domains for application across all the subdisciplines represented by AMIA, ranging from translational bioinformatics to clinical and public health informatics, spanning the spectrum from molecular to population levels of health and biomedicine. This document will be periodically updated, as part of the responsibility of the AMIA Accreditation Committee, through continued study, education, and surveys of market trends.

Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes.

PURPOSE OF REVIEW: This study was to present meta-analysis findings across selected clinical trials for the effect of health information technologies (HITs) on glycemic control among patients with type 2 diabetes. RECENT FINDINGS: HITs may be promising in diabetes management. However, findings on effect size of glycated hemoglobin level (HbA1c) yielded from HITs varied across previous studies. This is likely due to heterogeneity in sample size, adherence to standard quantitative method, and/or searching criteria (e.g., type of HITs, type of diabetes, specification of patient population, randomized vs. nonrandomized trials). We systematically searched Medline, Cumulative Index of Nursing and Allied Health Literature (CINAHL), and the Cochrane Library for peer-reviewed randomized control trials that studied the effect of HITs on HbA1c reduction. We also used Google Scholar and a hand search to identify additional studies. Thirty-four studies (40 estimates) met the criteria and were included in the analysis. Overall, introduction of HITs to standard diabetes treatment resulted in a statistically and clinically reduced HbA1c. The bias adjusted HbA1c reduction due to the combined HIT interventions was - 0.56 [Hedges' g = - 0.56 (- 0.70, - 0.43)]. The reduction was significant across each of the four types of HIT intervention under review, with mobile phone-based approaches generating the largest effects [Hedges' g was - 0.67 (- 0.90, - 0.45)]. HITs can be an effective tool for glycemic control among patients with type 2 diabetes. Future studies should examine long-term effects of HITs and explore factors that influence their effectiveness.

An Analysis of Diabetes Mobile Applications Features Compared to AADE7™: Addressing Self-Management Behaviors in People With Diabetes.

BACKGROUND: Diabetes self-management (DSM) applications (apps) have been designed to improve knowledge of diabetes and self-management behaviors. However, few studies have systematically examined if diabetes apps followed the American Association of Diabetes Educators (AADE) Self-Care Behaviors™ guidelines. The purpose of this study was to compare the features of current DSM apps to the AADE7™ guidelines. METHODS: In two major app stores (iTunes and Google Play), we used three search terms "diabetes," "blood sugar," and "glucose" to capture a wide range of diabetes apps. Apps were excluded based on five exclusion criteria. A multidisciplinary team analyzed and classified the features of each app based on the AADE7™. We conducted interviews with six diabetes physicians and educators for their opinions on the distribution of the features of DSM apps. RESULTS: Out of 1050 apps retrieved, 173 apps were identified as eligible during November 2015 and 137 apps during December 2017. We found an unbalanced DSM app development trend based on AADE7™ guidelines. Many apps were designed to support the behaviors of Healthy Eating (77%), Monitoring (76%), Taking Medication (58%), and Being Active (45%). On the other hand, few apps explored the behaviors of Problem Solving (31%), Healthy Coping (10%), and Reducing Risks (5%). From interviews, we identified the main reasons why only a few apps support the features related to Problem Solving, Healthy Coping, and Reducing Risks. CONCLUSIONS: Future diabetes apps should attempt to incorporate features under evidence-based guidelines such as AADE7™ to better support the self-management behavior changes of people with diabetes.

Geographic Information Systems: Usability, Perception, and Preferences of Public Health Professionals.

BACKGROUND: Analyzing and visualizing health-related databases using Geographic Information Systems (GISs) becomes essential in controlling many public health problems. OBJECTIVES: To explore the perception and preferences of public health professionals (PHPs) about the usability of GISs in public health field. METHODS: For this scoping review, the investigators searched Medline Ovid, PubMed, IEEE, Scopus, and GeoBase databases. A total of 105 articles were identified. Nine articles met the inclusion criteria. RESULTS: Iterative evaluations, training, and involvement of GIS end users are productive in GIS usability. More methodologies are needed to support the validity of GIS usability studies. The exchange of GIS technology impacts public health policy and research positively. DISCUSSION: PHPs are aware of the use of GISs in the public health field, and the exchange of visualized health data in determining inequalities and inaccessibility issues. CONCLUSION: GISs are essential to control public health problems, if the related health datasets are analyzed carefully and if the mapping reports are extensively evaluated and interpreted.

Building and launching an online quality improvement information exchange for home visiting programs in Missouri.

Continuous quality improvement initiatives (CQII) in home visiting programs have traditionally occurred within a local implementing agency (LIA), parent organization, or funding provision. In Missouri, certain LIAs participate in the Missouri Maternal, Infant, and Early Childhood Home Visiting program (MIECHV). Their CQII activities and the coordination of CQI efforts across agencies are limited to quarterly meetings to discuss barriers to service delivery and newsletters. Their designed CQI process does not include evaluation of program fidelity or assessment nor supports to assist with identifying and prioritizing areas where improvement is needed. Therefore, much of LIA CQII are often lost to the benefit of external agencies facing similar challenges. We developed a virtual environment, the Missouri MIECHV Gateway, for CQII activities. The Gateway promotes and supports quality improvement for LIAs while aligning stakeholders from seven home visiting LIAs. Development of the Gateway environment aims to complement the existing MIECHV CQI framework by: 1) adding CQI elements that are missing or ineffective, 2) adding elements for CQI identification and program evaluation, and 3) offering LIAs a network to share CQI experiences and collaborate at a distance. This web-based environment allows LIA personnel to identify program activities in need of quality improvement, and guides the planning, implementation, and evaluation of CQII. In addition, the Gateway standardizes quality improvement training, collates overlapping resources, and supports knowledge translation, thus aimed to improve capacity for measurable change in organizational initiatives. This interactive web-based portal provides the infrastructure to virtually connect and engage LIAs in CQI and stimulate sharing of ideas and best practices. This article describes the characteristics, development, build, and launch of this quality improvement practice exchange virtual environment and present results of three usability pilot tests and the site launch. Briefly, prior to deployment to 58 users, usability pilot testing of the site occurred in three stages, to three defined groups. Pilot testing results were overall positive, desirable, and vital to improving the site prior to the full-launch. The majority of reviewers stated they would access and use the learning materials (87%), use the site for completing CQII (80%), and reported that the site will benefit their work teams in addressing agency challenges (66%). The majority of reviewers also approved of the developed fidelity assessment: as, easy to use (79%), having a clear purpose (86%), providing value in self-identification of CQII (75%), and recommendations were appropriate (79%). The System Usability Scale (SUS) score increased (10%) between pilot groups 2 and 3, with a mean SUS score of 71.6, above the U.S. average of 68. The site launched to 60 invited users; the majority (67%) adopted and used the site. Site stability was remarkable (6 total minutes of downtime). The site averaged 29 page views per day.

Robotic Telepresence in a Medical Intensive Care Unit--Clinicians' Perceptions.

BACKGROUND: Robotic telepresence has been used for outsourcing of healthcare services for more than a decade; however, its use within an academic medical department is not yet widespread. Intensive care unit (ICU) robots can be used to increase access to off-site supervising physicians and other specialists, reducing possible wait time for difficult admissions and procedures. OBJECTIVE: To study the use of ICU robots through a pilot program in an academic hospital and examine provider attitudes toward the usability and effectiveness of an ICU robot. MATERIALS AND METHODS: The study was done as a postinterventional cross-sectional seven-question survey in a medical ICU in an urban academic hospital. Participants were attending physicians, fellows, residents, nurses, and respiratory therapists. RESULTS: Users of the ICU robot reported satisfaction with communication, and improved patient care. They also reported perceived improved quality of care with the use of the robot. CONCLUSIONS: Findings show the importance of a whole-team approach to the installation and implementation of an ICU robot. The ICU robot is an effective tool when it is used to visualize and communicate with patients, bedside staff, and families. However, a number of providers are still not trained or have not been shown how to use the ICU robot, which affects the overall utilization rate.

Information Management in Cancer Registries: Evaluating the Needs for Cancer Data Collection and Cancer Research.

Cancer registry data collection involves, at a minimum, collecting data on demographics, tumor characteristics, and treatment. A common, identified, and standardized set of data elements is needed to share data quickly and efficiently with consumers of this data. This project highlights the fact that, there is a need to develop common data elements; Surveys were developed for central cancer registries (CCRs) and cancer researchers (CRs) at NCI-designated Cancer Centers, in order to understand data needs. Survey questions were developed based on the project focus, an evaluation of the research registries and database responses, and systematic review of the literature. Questions covered the following topics: 1) Research, 2) Data collection, 3) Database/ repository, 4) Use of data, 5) Additional data items, 6) Data requests, 7) New data fields, and 8) Cancer registry data set. A review of the surveys indicates that all cancer registries' data are used for public health surveillance, and 96% of the registries indicate the data are also used for research. Data are available online in interactive tables from over 50% of CRs and 87% of CCRs. Some other survey responses indicate that CCR treatment data are not complete for example treatment data, however cancer researchers are interested in treatment variables from CCRs. Cancer registries have many data available for review, but need to examine what data are needed and used by different entities. Cancer Registries can further enhance usage through collaborations and partnerships to connect common interests in the data by making registries visible and accessible.

Transitioning through college with diabetes: themes found in online forums.

OBJECTIVE: Content analysis of Internet-based diabetes forum text was used to examine the experiences encountered by students with diabetes transitioning into and through college. PARTICIPANTS: Forum posts (N = 238) regarding attending college with diabetes were collected and analyzed. METHODS: Thematic coding was used to identify prominent topics, followed by analysis of theme distribution across college transitional stages. Three students with diabetes were recruited to review results and corroborate findings. RESULTS: Twenty thematic categories were identified. Preparation for college involved efforts to move toward autonomous diabetes management. Transitioning in was marked by adjusting to a college lifestyle, then working to manage issues such as busy schedules and alcohol use as continuing students, and turning attention toward future career options and finances while transitioning out. CONCLUSIONS: As they move into and through college, students with diabetes negotiate developmental and diabetes-specific tasks within an environment that presents unique logistical, lifestyle, and psychological challenges.

Healthy coping: issues and implications in diabetes education and care.

Psychological, emotional, and social factors not only impact quality of life, but also often play a role in chronic illness outcomes. Diabetes care, in particular, is greatly influenced by psychosocial factors when they hinder a person's ability to manage the disease and achieve metabolic control. Healthy coping, defined as responding to a psychological and physical challenge by recruiting available resources to increase the probability of favorable outcomes in the future, is essential to effective self-management by people with diabetes. In June 2009, the American Association of Diabetes Educators convened a multidisciplinary expert panel to discuss healthy coping in diabetes. The panel included diabetes educators and behavioral science and mental health professionals. Drawing on their knowledge and experiences, as well as information presented at the symposium, the panel probed several aspects of healthy coping including what it entails, common barriers, assessment, population diversity, and clinical applications. A team approach to addressing the patient's coping is critical. Team involvement relieves the diabetes educator of the entire burden of supporting the patient in this regard. The team should be broadly defined and include those who are formally and informally involved. Healthy coping is a complex, qualitative behavior that cannot be easily quantified. Future efforts to address the issue of healthy coping should add to the body of literature regarding diabetes self-management at the individual and population-based levels.

Costs and benefits associated with diabetes education: a review of the literature.

PURPOSE: The purpose of this article was to review the published literature and evaluate the economic benefits and costs associated with diabetes education. METHODS: The Medline database (1991--2006) and Google were searched. Articles that addressed the economic and/or financial outcomes of a diabetes-related self-care or educational intervention were included. The study aim, population, design, intervention, financial and economic outcomes, results, and conclusions were extracted from eligible articles. RESULTS: Twenty-six papers were identified that addressed diabetes self-management training and education. Study designs included meta-analysis (1); randomized controlled trials (8); prospective, quasi-experimental, and pre-post studies (8); and retrospective database analyses (9). The studies conducted cost analyses (6), cost-effectiveness analyses (13), cost-utilization analyses (7), and number needed to treat analyses (2). More than half (18) of the 26 papers identified by the literature review reported findings that associated diabetes education (and disease management) with decreased cost, cost saving, cost-effectiveness, or positive return on investment. Four studies reported neutral results, 1 study found that costs increased, and 3 studies did not fit into these categories. CONCLUSIONS: The findings indicate that the benefits associated with education on self-management and lifestyle modification for people with diabetes are positive and outweigh the costs associated with the intervention. More research is needed to validate that diabetes education provided by diabetes educators is cost-effective.

Computable decision modules for patient safety in child health care.

OBJECTIVE: To identify controlled evidence from the child health literature on patient conditions and clinical procedures that resulted in unacceptable adverse outcomes. METHODS: Systematic searches of MEDLINE (1966 to 2001), and Cochrane Database of Systematic Reviews (2001) were done. Studies that met the eligibility criteria, were verified for quality of methodology and lack of conflicting studies. A knowledge base of Child Health Safety Modules was then developed. The knowledge base could be used to transfer controlled evidence on potentially harmful interventions into clinical decision support systems conforming with Arden Syntax, a widely applied computer standard. RESULTS: The searches identified knowledge to create 41 Child Health Safety Modules for medications and procedures in child health care, from 29 randomized controlled trials and 12 non-randomized controlled studies. The modules are focused on 28 medication interventions and 13 other clinical procedures. Eighty five percent of the studies were published between 1997-2001. CONCLUSION: An increasing amount of controlled evidence on risks of adverse outcomes in child health is available to alert clinicians when potential planning errors are about to be overlooked.