Perspectives on the role of industry in informatics research and authorship.

OBJECTIVES: Advances in informatics research come from academic, nonprofit, and for-profit industry organizations, and from academic-industry partnerships. While scientific studies of commercial products may offer critical lessons for the field, manuscripts authored by industry scientists are sometimes categorically rejected. We review historical context, community perceptions, and guidelines on informatics authorship. PROCESS: We convened an expert panel at the American Medical Informatics Association 2022 Annual Symposium to explore the role of industry in informatics research and authorship with community input. The panel summarized session themes and prepared recommendations. CONCLUSIONS: Authorship for informatics research, regardless of affiliation, should be determined by International Committee of Medical Journal Editors uniform requirements for authorship. All authors meeting criteria should be included, and categorical rejection based on author affiliation is unethical. Informatics research should be evaluated based on its scientific rigor; all sources of bias and conflicts of interest should be addressed through disclosure and, when possible, methodological mitigation.

Examining COVID-19 testing and vaccination behaviors by heritage and linguistic preferences among Hispanic, Latino, or Spanish RADx-UP participants.

The Hispanic, Latino, or Spanish (hereafter, "Hispanic") populations in the U.S. bear a disproportionate burden of COVID-19-related outcomes, including disease incidence and mortality. Developing culturally appropriate national public health services for Hispanic persons remains a challenge. This study examined the association of heritage and language preference with COVID-19 testing (tested vs. not tested) and vaccination (vaccinated vs. not vaccinated) outcomes among Hispanic participants from 18 Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) projects (n = 3308; mean age = 44.1 years [SD = 14.9], 60% women; 83% spoke other than English at home). Generalized estimating equation models adjusted for age, gender, education level, income, insurance coverage, geographic region, comorbidities, and prior infection. Relative to Mexican heritage, individuals identifying as Puerto Rican or Dominican were more likely to test for COVID-19, and South American heritage was associated with higher testing and vaccination rates. Speaking Spanish or another language at home was associated with increased testing compared with speaking English at home for individuals who preferred not to report their heritage, and increased vaccination for those with Mexican, Cuban, or Central American heritage. This study highlights heterogeneity in testing and vaccination behaviors among Hispanic populations based on heritage and language preference, underscoring the diversity within the U.S. Hispanic community. In contrast to other studies on linguistic acculturation and health care utilization, our study found that a language other than English spoken at home was associated with greater vaccine uptake. That is, enculturation - the retention of Spanish language and presumably of Hispanic cultural norms - was linked with being vaccinated.

Development and Pilot Testing of a Computerized Asthma Kiosk to Initiate Chronic Asthma Care in a Pediatric Emergency Department.

OBJECTIVES: Emergency department (ED) visits are an opportunity to initiate chronic asthma care. Ideally, this care should be implemented in a fashion that limits utilization of scarce ED resources. We developed, iteratively refined, and pilot tested the feasibility of a computerized asthma kiosk to (1) capture asthma information, (2) deliver asthma education, and (3) facilitate guideline-based chronic asthma management. METHODS: The following are the 4 phases of this study: (1) developing the content and structure of a computerized asthma kiosk, (2) iterative refinement through heuristic testing by human-computer interface experts, (3) usability testing with ED providers (n = 4) and caregivers of children with asthma (n = 4), and (4) pilot testing the kiosk with caregivers (n = 31) and providers in the ED (n = 18). Outcome measures for the pilot-testing phase were the proportion of ED providers who prescribed long-term controller medication (LTCM) and asthma action plans (AsAPs) and the proportion of children who took LTCMs and attended primary care providers follow-up. RESULTS: After kiosk development and refinement, pilot implementation resulted in LTCMs prescribing and AsAP provision for 19 (61%) of 31 and 17 (55%) of 31 patients, respectively. Before kiosk use, the proportion of the 18 ED providers who reported prescribing LTCM was 1 (5%) of 18, and providing AsAPs was 0 (0%) of 18. Eighteen (58%) of the 31 caregivers reported that their children used LTCMs after kiosk use and 13 (42%) of 31 reported following up with the primary care provider within 1 month of the ED visits. CONCLUSIONS: A rigorously developed asthma kiosk showed promise for initiating chronic asthma care in the ED.

Health Technology-Enabled Interventions for Adherence Support and Retention in Care Among US HIV-Infected Adolescents and Young Adults: An Integrative Review.

The objective of this integrative review was to describe current US trends for health technology-enabled adherence interventions among behaviorally HIV-infected youth (ages 13-29 years), and present the feasibility and efficacy of identified interventions. A comprehensive search was executed across five electronic databases (January 2005-March 2016). Of the 1911 identified studies, nine met the inclusion criteria of quantitative or mixed methods design, technology-enabled adherence and or retention intervention for US HIV-infected youth. The majority were small pilots. Intervention dose varied between studies applying similar technology platforms with more than half not informed by a theoretical framework. Retention in care was not a reported outcome, and operationalization of adherence was heterogeneous across studies. Despite these limitations, synthesized findings from this review demonstrate feasibility of computer-based interventions, and initial efficacy of SMS texting for adherence support among HIV-infected youth. Moving forward, there is a pressing need for the expansion of this evidence base.

Adopting the sensemaking perspective for chronic disease self-management.

BACKGROUND: Self-monitoring is an integral component of many chronic diseases; however few theoretical frameworks address how individuals understand self-monitoring data and use it to guide self-management. PURPOSE: To articulate a theoretical framework of sensemaking in diabetes self-management that integrates existing scholarship with empirical data. METHODS: The proposed framework is grounded in theories of sensemaking adopted from organizational behavior, education, and human-computer interaction. To empirically validate the framework the researchers reviewed and analyzed reports on qualitative studies of diabetes self-management practices published in peer-reviewed journals from 2000 to 2015. RESULTS: The proposed framework distinguishes between sensemaking and habitual modes of self-management and identifies three essential sensemaking activities: perception of new information related to health and wellness, development of inferences that inform selection of actions, and carrying out daily activities in response to new information. The analysis of qualitative findings from 50 published reports provided ample empirical evidence for the proposed framework; however, it also identified a number of barriers to engaging in sensemaking in diabetes self-management. CONCLUSIONS: The proposed framework suggests new directions for research in diabetes self-management and for design of new informatics interventions for data-driven self-management.

Intercepting wrong-patient orders in a computerized provider order entry system.

STUDY OBJECTIVE: We evaluate the short- and long-term effect of a computerized provider order entry-based patient verification intervention to reduce wrong-patient orders in 5 emergency departments. METHODS: A patient verification dialog appeared at the beginning of each ordering session, requiring providers to confirm the patient's identity after a mandatory 2.5-second delay. Using the retract-and-reorder technique, we estimated the rate of wrong-patient orders before and after the implementation of the intervention to intercept these errors. We conducted a short- and long-term quasi-experimental study with both historical and parallel controls. We also measured the amount of time providers spent addressing the verification system, and reasons for discontinuing ordering sessions as a result of the intervention. RESULTS: Wrong-patient orders were reduced by 30% immediately after implementation of the intervention. This reduction persisted when inpatients were used as a parallel control. After 2 years, the rate of wrong-patient orders remained 24.8% less than before intervention. The mean viewing time of the patient verification dialog was 4.2 seconds (SD=4.0 seconds) and was longer when providers indicated they placed the order for the wrong patient (4.9 versus 4.1 seconds). Although the display of each dialog took only seconds, the large number of display episodes triggered meant that the physician time to prevent each retract-and-reorder event was 1.5 hours. CONCLUSION: A computerized provider order entry-based patient verification system led to a moderate reduction in wrong-patient orders that was sustained over time. Interception of wrong-patient orders at data entry is an important step in reducing these errors.

Research data collection methods: from paper to tablet computers.

BACKGROUND: Primary data collection is a critical activity in clinical research. Even with significant advances in technical capabilities, clear benefits of use, and even user preferences for using electronic systems for collecting primary data, paper-based data collection is still common in clinical research settings. However, with recent developments in both clinical research and tablet computer technology, the comparative advantages and disadvantages of data collection methods should be determined. OBJECTIVE: To describe case studies using multiple methods of data collection, including next-generation tablets, and consider their various advantages and disadvantages. MATERIALS AND METHODS: We reviewed 5 modern case studies using primary data collection, using methods ranging from paper to next-generation tablet computers. We performed semistructured telephone interviews with each project, which considered factors relevant to data collection. We address specific issues with workflow, implementation and security for these different methods, and identify differences in implementation that led to different technology considerations for each case study. RESULTS AND DISCUSSION: There remain multiple methods for primary data collection, each with its own strengths and weaknesses. Two recent methods are electronic health record templates and next-generation tablet computers. Electronic health record templates can link data directly to medical records, but are notably difficult to use. Current tablet computers are substantially different from previous technologies with regard to user familiarity and software cost. The use of cloud-based storage for tablet computers, however, creates a specific challenge for clinical research that must be considered but can be overcome.