Data-driven Storytelling to Support Decision Making in Crisis Settings: A Case Study

Data-driven storytelling helps to communicate facts, easing comprehension and decision making, particularly in crisis settings such as the current COVID-19 pandemic. Several studies have reported on general practices and guidelines to follow in order to create effective narrative visualizations. However, research regarding the benefits of implementing those practices and guidelines in software development is limited. In this article, we present a case study that explores the benefits of including data visualization best practices in the development of a software system for the current health crisis. We performed a quantitative and qualitative analysis of sixteen graphs required by the system to monitor patients' isolation and circulation permits in quarantine due to the COVID-19 pandemic. The results showed that the use of storytelling techniques in data visualization contributed to an improved decision-making process in terms of increasing information comprehension and memorability by the system stakeholders.

Adequacy of measures of informed consent in medical practice: A systematic review

As a critical component of medical practice, it is alarming that patient informed consent does not always reflect (1) adequate information provision, (2) comprehension of provided information, and (3) a voluntary decision. Consequences of poor informed consent include low patient satisfaction, compromised treatment adherence, and litigation against medical practitioners. To ensure a well-informed, well-comprehended, and voluntary consent process, the objective and replicable measurement of these domains via psychometrically sound self-report measures is critical. This systematic review aimed to evaluate the adequacy of existing measures in terms of the extent to which they assess the three domains of informed consent, are psychometrically sound and acceptable for use by patients. Extensive searching of multiple databases (PsychINFO, PubMed, Sociological Abstracts, CINAHL, AMED) yielded 10,000 potential studies, with 16 relevant scales identified. No existing scale was found to measure all three consent domains, with most only narrowly assessing aspects of any one domain. Information provision was the most frequently assessed domain, followed by comprehension, and then voluntariness. None of the identified scales were found to have adequate evidence for either high quality psychometric properties or patient user acceptability. No existing scale is fit for purpose in comprehensively assessing all domains of informed consent. In the absence of any existing measure meeting the necessary criteria relating to information, comprehension and voluntariness, there is an urgent need for a new measure of medical consent to be developed that is psychometrically sound, spans all three domains and is acceptable to patients and clinicians alike. These findings provide the impetus and justification for the redesign of the informed consent process, with the aim to provide a robust, reliable and replicable process that will in turn improve the quality of the patient experience and care provided.

Incremental Validity between the Wartegg and Rorschach tests (R-PAS)

Incremental validity indicates how much a measure can add prevision to a criterion, more than what can be previewed by other sources of data. In other words, it means how an instrument can complement and aid on information comprehension derived from another. The objective of the study was to verify evidence of incremental validity between the Wartegg and the Rorschach tests (R-PAS). A total of 40 subjects with ages varying between 21 to 70 years participated, divided into two groups, one composed by schizophrenia diagnosis and another, by subjects with a history of psychiatric diseases. Everybody responded to the Rorschach and Wartegg tests. The results indicated predictive capacity among the instruments of 75% for the variable Formal Quality, 98% for Movement and 100% for Content. New studies are suggested about validity evidences with larger samples as well as the analysis of other variables, not explored in this study.

Systematic incident command training and organisational competence

PurposeThe study aims to determine if the application of a systematic command training system (Effective Command) could influence the organisational competency profile, through the identification, training and assessment of key behavioural markers.Design/methodology/approachThe Effective Command framework is aligned to UK National Fire Service role-maps and is routinely used in both development and assessment of Fire Officers worldwide. Data from 1,261 formal assessments were analysed and descriptive statistics performed.FindingsStructured analysis of incident command assessment data should inform subsequent training cycles of individuals, organisations and procedures. Key behavioural markers were identified in Level 1 (L1) and Level 2 (L2) commanders which influence assessment outcomes. Reduced competence scores between L1 and L2 officers were recorded, providing a strong argument for a supported development process for L2 officers.Practical implicationsSix key behavioural markers were identified in L1 commanders, all were associated with information comprehension and evaluation, which ultimately impacted the outcomes of formal assessments. This study provides empirical evidence that frequent incident or scenario exposure, coupled with metacognitive understanding of the decision rationale could reverse these weaknesses and turn them into individual strengths. This in-depth analysis of data generated in individuals who pass or fail these assessments should strengthen organisational learning.Originality/valueThe use of a structured command training framework contributes significantly to operational assurance by providing a robust assessment and training methodology, which ensures that organisations can appoint, train and assess their incident commanders.

Graph literacy matters: Examining the association between graph literacy, health literacy, and numeracy in a Medicaid eligible population

Objectives Graphic display formats are often used to enhance health information. Yet limited attention has been paid to graph literacy in people of lower education and lower socioeconomic status (SES). This study aimed to: 1) examine the relationship between graph literacy, numeracy, health literacy and sociodemographic characteristics in a Medicaid-eligible population 2) determine the impact of graph literacy on comprehension and preference for different visual formats. Methods We conducted a cross-sectional online survey among people in the US on Medicaid, and of presumed lower education and SES. Results The mean graph literacy score among 436 participants was 1.47 (SD 1.05, range: 0 to 4). Only graph literacy was significantly associated with overall comprehension (p < .001). Mean comprehension scores were highest for the table format (1.91), closely followed by bar graph (1.85) and icon array (1.80). Information comprehension was aligned with preference scores. Conclusions Graph literacy in a Medicaid-eligible population was lower than previous estimates in the US. Tables were better understood, with icon arrays yielding the lowest score. Preferences aligned with comprehension. Practice implications It may be necessary to reconsider the use of graphic display formats when designing information for people with lower educational levels. Further research is needed.

Artificial Intelligence–Powered Smartphone App to Facilitate Medication Adherence: Protocol for a Human Factors Design Study

Background Medication Guides consisting of crucial interactions and side effects are extensive and complex. Due to the exhaustive information, patients do not retain the necessary medication information, which can result in hospitalizations and medication nonadherence. A gap exists in understanding patients’ cognition of managing complex medication information. However, advancements in technology and artificial intelligence (AI) allow us to understand patient cognitive processes to design an app to better provide important medication information to patients. Objective Our objective is to improve the design of an innovative AI- and human factor–based interface that supports patients’ medication information comprehension that could potentially improve medication adherence. Methods This study has three aims. Aim 1 has three phases: (1) an observational study to understand patient perception of fear and biases regarding medication information, (2) an eye-tracking study to understand the attention locus for medication information, and (3) a psychological refractory period (PRP) paradigm study to understand functionalities. Observational data will be collected, such as audio and video recordings, gaze mapping, and time from PRP. A total of 50 patients, aged 18-65 years, who started at least one new medication, for which we developed visualization information, and who have a cognitive status of 34 during cognitive screening using the TICS-M test and health literacy level will be included in this aim of the study. In Aim 2, we will iteratively design and evaluate an AI-powered medication information visualization interface as a smartphone app with the knowledge gained from each component of Aim 1. The interface will be assessed through two usability surveys. A total of 300 patients, aged 18-65 years, with diabetes, cardiovascular diseases, or mental health disorders, will be recruited for the surveys. Data from the surveys will be analyzed through exploratory factor analysis. In Aim 3, in order to test the prototype, there will be a two-arm study design. This aim will include 900 patients, aged 18-65 years, with internet access, without any cognitive impairment, and with at least two medications. Patients will be sequentially randomized. Three surveys will be used to assess the primary outcome of medication information comprehension and the secondary outcome of medication adherence at 12 weeks. Results Preliminary data collection will be conducted in 2021, and results are expected to be published in 2022. Conclusions This study will lead the future of AI-based, innovative, digital interface design and aid in improving medication comprehension, which may improve medication adherence. The results from this study will also open up future research opportunities in understanding how patients manage complex medication information and will inform the format and design for innovative, AI-powered digital interfaces for Medication Guides. International Registered Report Identifier (IRRID) PRR1-10.2196/21659

Artificial Intelligence–Powered Smartphone App to Facilitate Medication Adherence: Protocol for a Human Factors Design Study (Preprint)

BACKGROUND Medication Guides consisting of crucial interactions and side effects are extensive and complex. Due to the exhaustive information, patients do not retain the necessary medication information, which can result in hospitalizations and medication nonadherence. A gap exists in understanding patients’ cognition of managing complex medication information. However, advancements in technology and artificial intelligence (AI) allow us to understand patient cognitive processes to design an app to better provide important medication information to patients. OBJECTIVE Our objective is to improve the design of an innovative AI- and human factor–based interface that supports patients’ medication information comprehension that could potentially improve medication adherence. METHODS This study has three aims. Aim 1 has three phases: (1) an observational study to understand patient perception of fear and biases regarding medication information, (2) an eye-tracking study to understand the attention locus for medication information, and (3) a psychological refractory period (PRP) paradigm study to understand functionalities. Observational data will be collected, such as audio and video recordings, gaze mapping, and time from PRP. A total of 50 patients, aged 18-65 years, who started at least one new medication, for which we developed visualization information, and who have a cognitive status of 34 during cognitive screening using the TICS-M test and health literacy level will be included in this aim of the study. In Aim 2, we will iteratively design and evaluate an AI-powered medication information visualization interface as a smartphone app with the knowledge gained from each component of Aim 1. The interface will be assessed through two usability surveys. A total of 300 patients, aged 18-65 years, with diabetes, cardiovascular diseases, or mental health disorders, will be recruited for the surveys. Data from the surveys will be analyzed through exploratory factor analysis. In Aim 3, in order to test the prototype, there will be a two-arm study design. This aim will include 900 patients, aged 18-65 years, with internet access, without any cognitive impairment, and with at least two medications. Patients will be sequentially randomized. Three surveys will be used to assess the primary outcome of medication information comprehension and the secondary outcome of medication adherence at 12 weeks. RESULTS Preliminary data collection will be conducted in 2021, and results are expected to be published in 2022. CONCLUSIONS This study will lead the future of AI-based, innovative, digital interface design and aid in improving medication comprehension, which may improve medication adherence. The results from this study will also open up future research opportunities in understanding how patients manage complex medication information and will inform the format and design for innovative, AI-powered digital interfaces for Medication Guides. INTERNATIONAL REGISTERED REPORT PRR1-10.2196/21659

Cognitive needs and use of social media: a comparative study of gratifications sought and gratification obtained

Purpose The purpose of this study is to compare the gratification sought and gratification obtained for cognitive needs from social media among information professionals in the limelight of uses and gratification theory. Cognitive needs are related to knowledge, acquiring information, comprehension etc., and gratification sought and gratification obtained are two distinct components of the uses and gratification theory. Design/methodology/approach For this quantitative research study, a self-administered survey questionnaire was used to collect data from the participants of the study. Sample of this study was 700 information professionals who are necessarily users of social media. Findings Finding of this study depicted that gratification obtained and gratification sought from social media for cognitive needs are different from each other, and information professionals need to revisit their social media use for cognitive needs. Research limitations/implications The present study is limited to gratification sought and gratification obtained for cognitive needs among information professionals. Practical implications This study has determined that information professionals need to revisit their social media use for cognitive needs, as the obtained gratifications are different from gratification sought from social media. Social implications Social media provides versatility of information in different forms and large numbers of information professionals are the users of social media around globe. Perceived use of social media for cognitive needs has been resulted into destructed gratifications. This study has brought the actual outcome of the use of social media to the audience so that they may rectify their social media use. Originality/value This study is a significant contribution for information professionals to review the gratifications sought and obtained from social media for cognitive needs. It has been established in this study that gratifications sought are significantly different from gratifications obtained from social media among information professionals.