Health Information Technologies in Diabetes Management

About 1 in 11 adults worldwide now have diabetes mellitus, 90% of whom have type 2 diabetes (T2D). Successful glycemic control helps to prevent and reduce complications of T2D, including cardiovascular disease, kidney disease, blindness, neuropathy, and limb amputation, and reduce death related to the disease. However, maintaining optimal glycemic control requires ongoing monitoring and treatment, which can be costly and challenging. To improve diabetes management, the development of innovative self-care strategies is warranted. Advances in health information technologies (HITs) have introduced approaches that support effective and affordable health-care delivery and patient education. Technologies in mobile, computer, e-mail, and Internet approaches have shown evidence in enhancing chronic disease management, suggesting great potential for diabetes management technologies. In this chapter, we provided an overview of the HITs in use for T2D management. We synthesized the latest findings on HITs’ effect in reducing HbA1c and managing complications, cardiovascular conditions, in particular. Further, we discussed limitations in the current research in this area and implications for future research. Last, we presented challenges of applying HITs in T2D management in the real-world context and suggested steps to move forward

Web-based applications for prioritizing health : a case study of 27 capital cities in Brazil 2006-2012 [Abstract]

Abstract.Eduardo J Simoes, J Health Med Informat 2015, 6:4 http://dx.doi.org/10.4172/2157-7420.S1.006Abstract of a paper presented at the 2nd Health International Conference on Health Informatics and Technology, 2015: Introduction: Because public health funds are limited, programs need to be prioritized. We developed two indices to prioritize public health based on chronic disease risk factors (CDRF-PHI) and diseases (DZ-PHI). Conclusions: Identified public health priorities varied across the 27 Brazilian capital cities. PHIs summarize and harmonize data from multiple indicators, health conditions and factors

Collective impact : operationalizing a framework to coordinate community services

The Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program provides comprehensive early childhood services. Federal agencies emphasize coordination of stakeholders for systems-building. Designing a well-coordinated system is complex. We reviewed MIECHV’s literature and program documents to identify community-coordination infrastructure elements. We designed visual frameworks for each model to display infrastructure, components, and connections. In the independent point of entry model, families access services directly. In the coordinated point of entry model, a centralized intake and referral structure supports system coordination. In the collective impact model, relevant community stakeholders actively and collaboratively participate in service coordination. Visual frameworks allow stakeholders to align on process and infrastructure of their programs to facilitate planning activities, use these frameworks to identify whether the model under which they operate is ideal, and then evolve their infrastructure.Includes bibliographical references (page 8-9)

Using Process Mining to Assess the Fidelity of a Home Visiting Program

Background: The Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program is a federal public health initiative which supports at-risk families through evidence-based programs and promising approaches for pregnant women, and childhood development for children aged 0 to 5. These public health program funding mechanisms commonly include process evaluation mandates. Purpose: The use of process mining was explored as a methodology to assess the fidelity of the MIECHV programs’ actual workflow to that of their intended models. Methods: Research Electronic Data Capture (REDCap) data files that were populated with program process data elements from the local implementing agencies were mined. The focus was on three main variables: participant identification, activity labels, and timestamps. These variables were imported into the Disco process-mining software. Disco was used to develop process maps to track process pathways and compare the actual workflow against the intended model. Results: Using process mining as a diagnostic tool, fidelity to the MIECHV process model was assessed, identifying a total of 262 different process variations. The 15 most frequent variations represent 60.7% of the total pool of process variations, 13 of which were deemed to have fidelity to the intended model. Analysis of the variations indicated that many activities in the intended process were skipped or implemented out of sequence. Implications: Process mining is a useful tool for organizations to visually display, track, understand, compare, and improve their workflow processes. This method should be considered by programs as complex as MIECHV to improve the data reporting and the identification of opportunities to strengthen programs

Visualizing Complex Adaptive Systems: A Case Study of the Missouri Maternal, Infant, and Early Childhood Home Visiting Program

Background: The Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program was created by the 2010 Patient Protection and Affordable Care Act. MIECHV provides comprehensive services to at-risk families through evidence-based home visiting programs. Purpose: The following question is addressed: Does the Missouri MIECHV system meet the definition of a complex adaptive system (CAS)? Methods: A systematic review was conducted of documents related to MIECHV programs (federal, state, and local levels), and to affiliated programs with a home visiting and early childhood (aged birth to 5 years) scope. The organizations’ fit was identified for the scope of early childhood home visiting programs, and then its relationship extracted to MIECHV and its affiliates. Results: MIECHV meets the definition of a CAS, being dynamic, massively entangled, scale independent, transformative, and emergent. Over 250 organizations were identified; 19 federal and 79 state organizations; 24 nonprofits at the federal level, 31 at the state; over 150 community-level agencies; and 13 home visiting models implemented in Missouri. Implications: A considerable amount of organizational complexity exists within the MIECHV system and among its affiliates with a home visiting and early childhood scope. The complexity of the system challenges its potential for effective and efficient implementation, coordination, sustainability, and evaluation, and increases the potential for redundancy, overlap, and fragmentation. Evaluating a CAS requires acknowledgement of its complexity, beyond traditional approaches to evaluation. Creating visualization tools of federal, state, and local stakeholders and their relationships is a practical approach for aligning, organizing, and communicating the work flow

Social support modifies the negative effects of acculturation on obesity and central obesity in Mexican men.

Background: This study examined the moderating role of social support in the acculturation-obesity/central obesity relationship in Mexican American (MA) men and women. Methods: Data from NHANES 1999-2008 were used. Acculturation derived from language use, country of birth and length of residence in the U.S. Social support assessed emotional and financial support. BMI (≥30) and waist circumference (≥88 cm for women; ≥102 cm for men) measured obesity and central obesity, respectively. Weighted multivariate logistic regression models were used to describe associations. Results: Compared to less acculturation, more acculturation was associated with higher odds of obesity (ORs 2.48; 95% CI 1.06-5.83) and central obesity (2.90; 1.39-6.08) among MA men with low/no social support, but not among MA men reporting high social support. The modifying effects was not observed among women. Conclusion: Higher amounts of social support appeared to attenuate the risk of obesity/central obesity associated with acculturation. Interventions enhancing social support maybe effective among acculturated MAs, particularly among men

School-Based Programs: Lessons Learned from CATCH, Planet Health, and Not-On-Tobacco

Establishing healthy habits in youth can help prevent many chronic health problems later in life that are attributable to unhealthy eating, sedentary lifestyle, and overweight. For this reason, many public health professionals are interested in working with school systems to reach children in school settings. However, a lack of familiarity with how schools operate can be a substantial impediment to developing effective partnerships with schools. We describe lessons learned from three successful school health promotion programs that were developed and disseminated through collaborations between public health professionals, academic institutions, and school personnel. The programs include two focused on physical activity and good nutrition for elementary and middle school children — Coordinated Approach to Child Health (CATCH) and Planet Health — and one focused on smoking cessation among adolescents — Not-On-Tobacco (N-O-T). Important features of these school health programs include 1) identification of staff and resources required for program implementation and dissemination; 2) involvement of stakeholders (e.g., teachers, students, other school personnel, parents, nonprofit organizations, professional organizations) during all phases of program development and dissemination; 3) planning for dissemination of programs early in the development and testing process; and 4) rigorous evaluation of interventions to determine their effectiveness. The authors provide advice based on lessons learned from these programs to those who wish to work with young people in schools