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Item Assessing readiness to manage medical emergencies among dental students at four dental schools(Wiley, 2021-09) Solanki, Charmi; Geisinger, Maria L.; Luepke, Paul G.; Al-Bitar, Kinan; Palomo, Leena; Lee, Wangsoo; Blanchard, Steven; Shin, Daniel; Maupome, Gerardo; Eckert, George J.; John, Vanchit; Periodontology, School of DentistryBackground and Purpose Dentists treat a wide range of patients, including patients with compromised health conditions. While rendering treatment, various medical emergencies can and do occur. To help increase the knowledge required to manage such emergencies, dental students must be trained while in dental school. This study aims to assess the level of medical emergency preparedness and knowledge among dental students at four dental schools. Material and Methods The participating dental schools were IUSD, Case Western Reserve University School of Dentistry, Marquette University School of Dentistry, and the University of Alabama School of Dentistry. Groups were designed to include 20 dental students from Years 1 to 4. Students were asked to fill out a survey and were then tested on 10 clinical medical emergency scenarios. Results A total of 331 dental students participated in the study. The scores based on 10 case scenarios presented with a range of 4.35–8.02. There was no statistically significant difference in the level of preparedness when dental schools were compared. However, Year 1 and Year 2 dental students had significantly lower total scores than those of Years 3 and 4. The students in Years 1 and 2 demonstrated less confidence in their current knowledge to manage medical emergencies. Satisfaction with the training received ranged from 38% to 84%. Conclusion The results from this study indicate that students’ preparedness to manage medical emergencies at these four dental schools is statistically similar. Additional yearly training could enhance students’ preparedness in the management of medical emergencies in the dental setting.Item Community Health Information Resource Guide: Volume 1 - Data(The Polis Center at IUPUI, 2011-06) Comer, Karen F; Derr, Michelle; Seyffarth, Chris; Thomaskutty, Champ; Kandris, Sharon; Ritchey, MatthewThis resource guide contains useful information for those who would like to use data to assess the health status of an Indiana community. Targeted users include local organizations such as county health departments and community health coalitions. Being able to access and use relevant data and information resources is a common hurdle for those interested in assessing and advancing community health. As a result of this need and at the request of the Community Advisory Council of the Community Health Engagement Program, we developed this resource guide to assist individuals, organizations, and coalitions in Indiana in identifying appropriate resources that guide their community health research and evaluation activities. The term “data” is used in this volume in reference to both data and information sources. While data consist of raw facts and figures, information is formed by analyzing the data and applying knowledge to it so that the findings are more meaningful and valuable to the community. The benefit of using data is that you can often manipulate it for your specific purposes. The benefit of using information sources is that the work of generating meaning from the data might already have been done, while a potential downside is that the available sources might not answer your specific questions. There are diverse sources of data that can be used as a basis for community health evaluation and decision making. Those looking to use data must consider multiple factors before determining the appropriate data to seek and use.Item Data Collection and Processing Methods for the Evaluation of Vehicle Road Departure Detection Systems(IEEE, 2018) Shen, Dan; Yi, Qiang; Li, Lingxi; Chien, Stanley; Chen, Yaobin; Sherony, Rini; Mechanical and Energy Engineering, School of Engineering and TechnologyRoad departure detection systems (RDDSs) for avoiding/mitigating road departure crashes have been developed and included on some production vehicles in recent years. In order to support and provide a standardized and objective performance evaluation of RDDSs, this paper describes the development of the data acquisition and data post-processing systems for testing RDDSs. Seven parameters are used to describe road departure test scenarios. The overall structure and specific components of data collection system and data post-processing system for evaluating vehicle RDDSs is devised and presented. Experimental results showed sensing system and data post-processing system could capture all needed signals and display vehicle motion profile from the testing vehicle accurately. Test track testing under different scenarios demonstrates the effective operations of the proposed data collection system.Item Data Curation for Community Science Project: CHIME Pilot Study(Digital Curation Centre, 2018-04-25) Yoon, Ayoung; Spotts, Lydia; Copeland, Andrea; Library and Information Science, School of InformaticsThis paper introduces a community science project, Citizen Data Harvest in Motion Everywhere (CHIME), and the findings from our pilot study, which investigated potential concerns regarding data curation. The CHIME project aims to build a cyclist community–driven data archive that citizens, community scientists, and governments can use and reuse. While citizens’ involvement in the project enables data collection on a massive, unprecedented scale, the citizen-generated data (cyclists’ video data recorded with wearable cameras in the CHIME context) also presents several concerns regarding curation due to the grassroots nature of the data. Learning from our examination of cyclists’ video data and interviews with them, we will discuss the curation concerns and challenges we identified in our pilot study and introduce our approach to addressing these issues. Our study will provide insights into data curation concerns, to which other citizen science projects can refer. As a next step, we are in the process of developing a data curation model that will consider other factors related to this community science project and can be implemented in future community science projects.Item Digitizing Southside Memories(Office of the Vice Chancellor for Research, 2011-04-08) Sowers, BreanaThis poster illustrates the process of data collection, including digital scanning, photography, transcriptions and recordings of ethnographic interviews that are being used to compile an oral history about Indianapolis’ near Southside. Entitled, “The Neighborhood of Saturdays,” the project is being undertaken by Susan Hyatt’s ethnographic methods class and highlights the experiences and memories of a community that was once one of the most multi-ethnic in Indianapolis. Between the 1920’s to the 1970’s, the neighborhood was comprised of Jewish immigrants, other European immigrants, African-Americans and Appalachians. Much of the neighborhood was destroyed by the construction of I-70. Interviews have focused primarily on former Jewish and African American residents of the community. The project will result in the publication of a small student-authored book, being funded by a Venture Grant from the Solution Center, and a digital museum to be housed on the IUPUI University Library Web site.Item Prospective study of clinician-entered research data in the Emergency Department using an Internet-based system after the HIPAA Privacy Rule(2004-10) Kline, Jeffrey A.; Johnson, Charles L; Webb, William B; Runyon, Michael SBackground Design and test the reliability of a web-based system for multicenter, real-time collection of data in the emergency department (ED), under waiver of authorization, in compliance with HIPAA. Methods This was a phase I, two-hospital study of patients undergoing evaluation for possible pulmonary embolism. Data were collected by on-duty clinicians on an HTML data collection form (prospective e-form), populated using either a personal digital assistant (PDA) or personal computer (PC). Data forms were uploaded to a central, offsite server using secure socket protocol transfer. Each form was assigned a unique identifier, and all PHI data were encrypted, but were password-accessible by authorized research personnel to complete a follow-up e-form. Results From April 15, 2003-April 15 2004, 1022 prospective e-forms and 605 follow-up e-forms were uploaded. Complexities of PDA use compelled clinicians to use PCs in the ED for data entry for most forms. No data were lost and server log query revealed no unauthorized entry. Prospectively obtained PHI data, encrypted upon server upload, were successfully decrypted using password-protected access to allow follow-up without difficulty in 605 cases. Non-PHI data from prospective and follow-up forms were available to the study investigators via standard file transfer protocol. Conclusions Data can be accurately collected from on-duty clinicians in the ED using real-time, PC-Internet data entry in compliance with the Privacy Rule. Deidentification-reidentification of PHI was successfully accomplished by a password-protected encryption-deencryption mechanism to permit follow-up by approved research personnel.Item Prospective, randomized evaluation of a personal digital assistant-based research tool in the emergency department(2008-01) Rivera, Morris L; Donnelly, Jason; Parry, Blair A; Dinizio, Anthony; Johnson, Charles L; Kline, Jeffrey A.; Kabrhel, ChristopherBackground Personal digital assistants (PDA) offer putative advantages over paper for collecting research data. However, there are no data prospectively comparing PDA and paper in the emergency department. The aim of this study was to prospectively compare the performance of PDA and paper enrollment instruments with respect to time required and errors generated. Methods We randomized consecutive patients enrolled in an ongoing prospective study to having their data recorded either on a PDA or a paper data collection instrument. For each method, we recorded the total time required for enrollment, and the time required for manual transcription (paper) onto a computer database. We compared data error rates by examining missing data, nonsensical data, and errors made during the transcription of paper forms. Statistical comparisons were performed by Kruskal-Wallis and Poisson regression analyses for time and errors, respectively. Results We enrolled 68 patients (37 PDA, 31 paper). Two of 31 paper forms were not available for analysis. Total data gathering times, inclusive of transcription, were significantly less for PDA (6:13 min per patient) compared to paper (9:12 min per patient; p < 0.001). There were a total of 0.9 missing and nonsense errors per paper form compared to 0.2 errors per PDA form (p < 0.001). An additional 0.7 errors per paper form were generated during transcription. In total, there were 1.6 errors per paper form and 0.2 errors per PDA form (p < 0.001). Conclusion Using a PDA-based data collection instrument for clinical research reduces the time required for data gathering and significantly improves data integrity.Item Special Education Teachers’ Perceptions and Intentions Toward Data Collection(Sage, 2018-06) Ruble, Lisa A.; McGrew, John H.; Wong, Wing Hang; Missall, Kristen N.; Psychology, School of ScienceAlthough data-based decision making is an evidence-based practice, many special educators have difficulty applying the practice within daily routines. We applied the theory of planned behavior (TPB) to understand the influences that promote or hinder early childhood special educators’ intentions to collect data. We assessed three influences on behavioral intention to collect data derived from the TPB: (a) attitude toward collecting data, (b) social norms for collecting data, and (c) perceived behavioral control for collecting data. All three influences correlated positively with teachers’ reported intention to collect data; however, only perceived behavioral control of barriers correlated positively with actual data collection. Additional measures of teacher self-efficacy and administrative support correlated positively with intention to collect data, but not with actual data collection behaviors. Perceived behavior control accounted for the most variance in actual data collection behavior. Implications of the findings for data collection practices in educational settings are discussed.Item The Survey Research Center(Office of the Vice Chancellor for Research, 2012-04-13) School of Liberal ArtsThe Survey Research Center (SRC) is an interdisciplinary survey research center that is part of the IU School of Liberal Arts Institute for Research on Social Issues (IRSI). The SRC’s mission is to assist patrons to collect, manage, and analyze valid and reliable data for use in decision making, academic scholarship, and policy efforts. The Center engages in three principal activities: consultation, data collection, and education. Some current projects include the Social Immersive Media Project, The Girlhood Health Study, Adult Tobacco Survey and The Marion County Community Health Needs Assessment.Item Third Year Medical Students’ Knowledge of Privacy & Security Issues Concerning Mobile Devices(http://informahealthcare.com.proxy.medlib.iupui.edu/doi/abs/10.3109/0142159X.2012.670319, 2012-04-10) Whipple, Elizabeth C.; Allgood, Kacy L.; LaRue, Elizabeth M.BACKGROUND: The use of mobile devices are ubiquitous in medical-care professional settings, but information on privacy and security concerns of mobile devices for medical students is scarce. AIMS: To gain baseline information about third-year medical students' mobile device use and knowledge of privacy and security issues concerning mobile devices. METHODS: We surveyed 67 third-year medical students at a Midwestern university on their use of mobile devices and knowledge of how to protect information available through mobile devices. Students were also presented with clinical scenarios to rate their level of concern in regards to privacy and security of information. RESULTS: The most used features of mobile devices were: voice-to-voice (100%), text messaging (SMS) (94%), Internet (76.9%), and email (69.3%). For locking of one's personal mobile phone, 54.1% never physically lock their phone, and 58% never electronically lock their personal PDA. Scenarios considering definitely privacy concerns include emailing patient information intact (66.7%), and posting de-identified information on YouTube (45.2%) or Facebook (42.2%). CONCLUSIONS: As the ease of sharing data increases with the use of mobile devices, students need more education and training on possible privacy and security risks posed with mobile devices.