OBJECTIVE: To determine if the Conexion digital localized health information resource about diabetes and depression could increase patient activation among Hispanic low-income adults. MATERIALS AND METHODS: A nonblinded randomized controlled trial was conducted (NCT03984929). Participants at least 18 years old living in Washington Heights/Inwood, New York, were recruited from the community between July 2019 and August 2020 and randomized 1:1 to either the intervention group (localization of MedlinePlus resources customized with community components) or the control group (no localized community components). The primary outcome, patient activation, and secondary outcomes, knowledge, self-efficacy, and behavior change, were collected through surveys at 1-month follow-up. RESULTS: Of the 134 participants recruited, 50.7% (n = 68) completed the 1-month follow-up. We found no statistically significant differences in the sociodemographic and baseline characteristics between those who missed the 1-month survey and those who completed it. No significant differences were observed in patient activation at 1-month. However, patient activation among all participants (n = 68) significantly increased (P = .048). Statistically significant improvements were also found in self-efficacy (P < .03). In multivariate analysis, birth country outside the United States and higher self-rated attachment to the community emerged as significant predictors of higher patient activation scores. DISCUSSION: While the trial did not detect significant differences between groups, all participants demonstrated increased patient activation scores and improved secondary outcomes. While other factors may have contributed to this increase, our study suggests that access to carefully selected high-quality health information materials delivered digitally in the context of a community may result in improvements comparable to localized content in a hard-to-reach urban Hispanic population. CONCLUSIONS: Our study highlights the potential of making carefully selected digital information accessible to hard-to-reach communities.

OBJECTIVE: To investigate subjective experiences and patterns of engagement with a novel electronic tool for facilitating reflection and problem solving for individuals with type 2 diabetes, Mobile Diabetes Detective (MoDD). METHODS: In this qualitative study, researchers conducted semi-structured interviews with individuals from economically disadvantaged communities and ethnic minorities who are participating in a randomized controlled trial of MoDD. The transcripts of the interviews were analyzed using inductive thematic analysis; usage logs were analyzed to determine how actively the study participants used MoDD. RESULTS: Fifteen participants in the MoDD randomized controlled trial were recruited for the qualitative interviews. Usage log analysis showed that, on average, during the 4 weeks of the study, the study participants logged into MoDD twice per week, reported 120 blood glucose readings, and set two behavioral goals. The qualitative interviews suggested that individuals used MoDD to follow the steps of the problem-solving process, from identifying problematic blood glucose patterns, to exploring behavioral triggers contributing to these patterns, to selecting alternative behaviors, to implementing these behaviors while monitoring for improvements in glycemic control. DISCUSSION: This qualitative study suggested that informatics interventions for reflection and problem solving can provide structured scaffolding for facilitating these processes by guiding users through the different steps of the problem-solving process and by providing them with context-sensitive evidence and practice-based knowledge related to diabetes self-management on each of those steps. CONCLUSION: This qualitative study suggested that MoDD was perceived as a useful tool in engaging individuals in self-monitoring, reflection, and problem solving.

OBJECTIVE: As part of the Heath Information Technology for Economic and Clinical Health (HITECH) Act, the Office of the National Coordinator for Health Information Technology (ONC) implemented its Workforce Development Program, which included initiatives to train health information technology (HIT) professionals in 12 workforce roles, half of them in community colleges. To achieve this, the ONC tasked five universities with established informatics programs with creating curricular materials that could be used by community colleges. The five universities created 20 components that were made available for downloading from the National Training and Dissemination Center (NTDC) website. This paper describes an evaluation of the curricular materials by its intended audience of educators. METHODS: We measured the quantity of downloads from the NTDC site and administered a survey about the curricular materials to its registered users to determine use patterns and user characteristics. The survey was evaluated using mixed methods. Registered users downloaded nearly half a million units or components from the NTDC website. We surveyed these 9835 registered users. RESULTS: 1269 individuals completed all or part of the survey, of whom 339 identified themselves as educators (26.7% of all respondents). This paper addresses the survey responses of educators. DISCUSSION: Successful aspects of the curriculum included its breadth, convenience, hands-on and course planning capabilities. Several areas were identified for potential improvement. CONCLUSIONS: The ONC HIT curriculum met its goals for community college programs and will likely continue to be a valuable resource for the larger informatics community in the future.

OBJECTIVE: Healthcare delivery organizations are increasingly using online personal health records (PHRs) to provide patients with direct access to their clinical information; however, there may be a lack of consistency in the data made available. We aimed to understand the general use and functionality of PHRs and the organizational policies and decision-making structures for making data available to patients. MATERIALS AND METHODS: A cross-sectional survey was administered by telephone structured interview to 21 organizations to determine the types of data made available to patients through PHRs and the presence of explicit governance for PHR data release. Organizations were identified based on a review of the literature, PHR experts, and snowball sampling. Organizations that did not provide patients with electronic access to their data via a PHR were excluded. RESULTS: Interviews were conducted with 17 organizations for a response rate of 81%. Half of the organizations had explicit governance in the form of a written policy that outlined the data types made available to patients. Overall, 88% of the organizations used a committee structure for the decision-making process and included senior management and information services. All organizations sought input from clinicians. Discussion There was considerable variability in the types of clinical data and the time frame for releasing these data to patients. Variability in data release policies may have implications for PHR use and adoption. CONCLUSIONS: Future policy activities, such as requirement specification for the latter stages of Meaningful Use, should be leveraged as an opportunity to encourage standardization of functionality and broad deployment of PHRs.

This review describes recent experimental and focus group research on graphics as a method of communication about quantitative health risks. Some of the studies discussed in this review assessed effect of graphs on quantitative reasoning, others assessed effects on behavior or behavioral intentions, and still others assessed viewers' likes and dislikes. Graphical features that improve the accuracy of quantitative reasoning appear to differ from the features most likely to alter behavior or intentions. For example, graphs that make part-to-whole relationships available visually may help people attend to the relationship between the numerator (the number of people affected by a hazard) and the denominator (the entire population at risk), whereas graphs that show only the numerator appear to inflate the perceived risk and may induce risk-averse behavior. Viewers often preferred design features such as visual simplicity and familiarity that were not associated with accurate quantitative judgments. Communicators should not assume that all graphics are more intuitive than text; many of the studies found that patients' interpretations of the graphics were dependent upon expertise or instruction. Potentially useful directions for continuing research include interactions with educational level and numeracy and successful ways to communicate uncertainty about risk.

OBJECTIVE: The International Classification of Functioning, Disability, and Health (ICF) is designed to provide a common language and framework for describing health and health-related states. The goal of this research was to investigate human and automated coding of functional status information using the ICF framework. DESIGN: The authors extended an existing natural language processing (NLP) system to encode rehabilitation discharge summaries according to the ICF. MEASUREMENTS: The authors conducted a formal evaluation, comparing the coding performed by expert coders, non-expert coders, and the NLP system. RESULTS: Automated coding can be used to assign codes using the ICF, with results similar to those obtained by human coders, at least for the selection of ICF code and assignment of the performance qualifier. Coders achieved high agreement on ICF code assignment. CONCLUSION: This research is a key next step in the development of the ICF as a sensitive and universal classification of functional status information. It is worthwhile to continue to investigate automated ICF coding.

The AMIA 2003 Spring Congress entitled "Bridging the Digital Divide: Informatics and Vulnerable Populations" convened 178 experts including medical informaticians, health care professionals, government leaders, policy makers, researchers, health care industry leaders, consumer advocates, and others specializing in health care provision to underserved populations. The primary objective of this working congress was to develop a framework for a national agenda in information and communication technology to enhance the health and health care of underserved populations. Discussions during four tracks addressed issues and trends in information and communication technologies for underserved populations, strategies learned from successful programs, evaluation methodologies for measuring the impact of informatics, and dissemination of information for replication of successful programs. Each track addressed current status, ideal state, barriers, strategies, and recommendations. Recommendations of the breakout sessions were summarized under the overarching themes of Policy, Funding, Research, and Education and Training. The general recommendations emphasized four key themes: revision in payment and reimbursement policies, integration of health care standards, partnerships as the key to success, and broad dissemination of findings including specific feedback to target populations and other key stakeholders.

OBJECTIVE: The purpose of this study was to test the adequacy of the Clinical LOINC (Logical Observation Identifiers, Names, and Codes) semantic structure as a terminology model for standardized assessment measures. METHODS: After extension of the definitions, 1, 096 items from 35 standardized assessment instruments were dissected into the elements of the Clinical LOINC semantic structure. An additional coder dissected at least one randomly selected item from each instrument. When multiple scale types occurred in a single instrument, a second coder dissected one randomly selected item representative of each scale type. RESULTS: The results support the adequacy of the Clinical LOINC semantic structure as a terminology model for standardized assessments. Using the revised definitions, the coders were able to dissect into the elements of Clinical LOINC all the standardized assessment items in the sample instruments. Percentage agreement for each element was as follows: component, 100 percent; property, 87.8 percent; timing, 82.9 percent; system/sample, 100 percent; scale, 92.6 percent; and method, 97.6 percent. DISCUSSION: This evaluation was an initial step toward the representation of standardized assessment items in a manner that facilitates data sharing and re-use. Further clarification of the definitions, especially those related to time and property, is required to improve inter-rater reliability and to harmonize the representations with similar items already in LOINC.