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Health Informatics Journal

Siobhan O'Neill, Raymond R Bond, Alexander Grigorash, Colette Ramsey, Cherie Armour, Maurice D Mulvenna
This work presents an analysis of 3.5 million calls made to a mental health and well-being helpline, seeking to answer the question, what different groups of callers can be characterised by specific usage patterns? Calls were extracted from a telephony informatics system. Each call was logged with a date, time, duration and a unique identifier allowing for repeat caller analysis. We utilized data mining techniques to reveal new insights into help-seeking behaviours. Analysis was carried out using unsupervised machine learning (K-means clustering) to discover the types of callers, and Fourier transform was used to ascertain periodicity in calls...
September 17, 2018: Health Informatics Journal
Mark Romig, Howard Carolan, Alan Ravitz, Hildy Schell-Chaple, Edward Yoon, Cindy Dwyer, Kevin Thornton, Michael Gropper, Peter J Pronovost, Adam Sapirstein
Project Emerge took a systems engineering approach to reduce avoidable harm in the intensive care unit. We developed a socio-technology solution to aggregate and display information relevant to preventable patient harm. We compared providers' efficiency and ability to assess and assimilate data associated with patient-safety practice compliance using the existing electronic health record to Emerge, and evaluated for speed, accuracy, and the number of mouse clicks required. When compared to the standard electronic health record, clinicians were faster (529 ± 210 s vs 1132 ± 344 s), required fewer mouse clicks (42...
September 17, 2018: Health Informatics Journal
Eman A Altuwaijri, David Budgen, Sharyn Maxwell
We investigated the reasons why the transition from paper to electronically formatted records during patient handover between ambulance crews and emergency department staff in a North East England Emergency Department has not always been viewed positively. Interviews with seven paramedics and three emergency department staff were conducted in addition to observations of 74 ambulance staff during 37 handovers in the emergency department. In just over half of the handovers (20), paramedics found it necessary to provide written information to aid emergency department staff, in addition to that recorded electronically...
September 17, 2018: Health Informatics Journal
Stephen Cory Robinson
Wearable technologies have created fascinating opportunities for patients to treat chronic pain in a discreet, mobile fashion. However, many of these health wearables require patients to disclose sensitive information, including health information (e.g., heart rate, glucose levels) and personal information (location, email, name, etc.). Individuals using wearables for treatment of chronic pain may sacrifice social health elements, including their privacy, in exchange for better physical and mental health. Utilizing communication privacy management, a popular disclosure theory, this article explores the policy and ethical ramifications of patients disclosing sensitive health information in exchange for better health treatment and relief of chronic pain...
September 11, 2018: Health Informatics Journal
Troels Mønsted
Within healthcare, information systems are increasingly developed to enable automatic analysis of the large amounts of data that are accumulated. A prerequisite for the practical use of such data analysis is the veracity of the output, that is, that the analysis is clinically valid. Whereas most research focuses on the technical configuration and clinical precision of data analysis systems, the purpose of this article is to investigate how veracity is achieved in practice. Based on a study of a project in Denmark aimed at developing an algorithm for stratification of citizens in preventive healthcare, this article confirms that achieving veracity requires close attention to the clinical validity of the algorithm...
September 9, 2018: Health Informatics Journal
Laurence Alpay, Rob Doms, Harmen Bijwaard
The development of eHealth is dramatically changing the way healthcare is provided and organized. eHealth applications are used not only by healthcare professionals but also by patients specifically to self-manage their health condition. The development of eHealth applications requires a new methodological approach, departing from the more conventional methods dedicated to designing health information systems. There is a gap between theories to design persuasive eHealth applications and practices. In the Netherlands, eHealth innovation emerges from three areas...
September 7, 2018: Health Informatics Journal
Ziying Hong, Zhaohua Deng, Wei Zhang
With the development of Web 2.0 technologies, an increasing number of websites are providing online healthcare services, and they have potential to alleviate problems of overloaded medical resources in China. However, some patients are reluctant to trust and continue using online healthcare services, partly due to the immature development of healthcare websites. Previous research has argued that online trust is significantly associated with the risk or benefit perceived by users. This study aims to extend prior research and examine how perceptual factors influence patients' online trust and intention to continue using online healthcare services...
September 7, 2018: Health Informatics Journal
Max H Sims, Margie Hodges Shaw, Seth Gilbertson, Joseph Storch, Marc W Halterman
As the pace of medical discovery widens the knowledge-to-practice gap, technologies that enable peer-to-peer crowdsourcing have become increasingly common. Crowdsourcing has the potential to help medical providers collaborate to solve patient-specific problems in real time. We recently conducted the first trial of a mobile, medical crowdsourcing application among healthcare providers in a university hospital setting. In addition to acknowledging the benefits, our participants also raised concerns regarding the potential negative consequences of this emerging technology...
September 7, 2018: Health Informatics Journal
Arcelio Benetoli, Timothy F Chen, Parisa Aslani
Consumers are increasingly using social media to interact with other consumers about health conditions and treatment options. This study aimed to investigate the advantages and disadvantages of using social media for health-related purposes from the consumers' perspectives. Five focus groups with 36 Australian adults with a chronic condition and on medication were conducted, audio-recorded, transcribed verbatim, and thematically analysed. Consumers reported that social media was very convenient, for accessing health-related information and for peer engagement; user-friendly; improved their health knowledge; empowered them; and provided social and emotional support...
September 7, 2018: Health Informatics Journal
Eliona Gkika, Anna Psaroulaki, Yannis Tselentis, Emmanouil Angelakis, Vassilis S Kouikoglou
This retrospective study investigates the potential benefits from the introduction of point-of-care tests for rapid diagnosis of infectious diseases. We analysed a sample of 441 hospitalized patients who had received a final diagnosis related to 18 pathogenic agents. These pathogens were mostly detected by standard tests but were also detectable by point-of-care testing. The length of hospital stay was partitioned into pre- and post-laboratory diagnosis stages. Regression analysis and elementary queueing theory were applied to estimate the impact of quick diagnosis on the mean length of stay and the utilization of healthcare resources...
September 4, 2018: Health Informatics Journal
Sanjai Sinha, John Dillon, Savira Kochhar Dargar, Alexi Archambault, Paul Martin, Brittney A Frankel, Jennifer Inhae Lee, Amanda S Carmel, Monika Safford
The objective of this study was to test the feasibility of video discharge education to improve self-efficacy in dealing with medication barriers around hospital discharge. We conducted a single-arm intervention feasibility trial to evaluate the use of video education in participants who were being discharged home from the hospital. The scores of pre- and post-intervention self-efficacy involving medication barriers were measured. We also assessed knowledge retention, patient and nursing feedback, follow-up barrier assessments, and hospital revisits...
August 31, 2018: Health Informatics Journal
Yolanda García, Carlos Ferrás, Álvaro Rocha, Adrián Aguilera
Mobile phones can produce detailed and personalized data to help diagnose, treat, prevent or rehabilitate women who are victims of gender violence. We sent automatic text messages, based on cognitive-behavioural therapy, to female victims of gender violence to assess the feasibility of the medium for mental health intervention. During the 28-day intervention period, each woman received four automatic text messages every day on a pre-established schedule. We evaluated symptoms of depression using the Personal Health Questionnaire-9...
August 16, 2018: Health Informatics Journal
Osaro Mgbere, Salma Khuwaja, Karen J Vigil, Shital M Patel, Jason Wang, Ekere James Essien
HIV medical care providers need a wide range of evidence-based clinical information resources to manage their patients' health. We determined whether providers' choice of information sources for HIV care and treatment are associated with their demographic and medical practice characteristics. Data used for this study were obtained from a probability sample of HIV medical care providers in 13 outpatient HIV facilities in Houston/Harris County, Texas, surveyed between June and September 2009. The mean number of information sources used by HIV medical care providers for HIV care and treatment was 5...
August 7, 2018: Health Informatics Journal
Yishen Wang, Beata Bajorek
A Computerised Antithrombotic Risk Assessment Tool was developed for assisting the selection of antithrombotic therapy based on the risk versus benefit assessment. In view of the recent availability of the novel oral anticoagulants, this tool has been updated to CARATV2.0. To explore health professionals' perspectives on the tool, semi-structured interviews were conducted in seven pharmacists, seven specialists, six general practitioners and six nurses, who were involved in management of antithrombotic therapy for atrial fibrillation...
September 2018: Health Informatics Journal
Haijing Hao, Rema Padman
This study empirically examines the opinion leader effects on a mobile clinical information technology implementation by physicians in an American community health system using a fixed effect regression model. The model result suggests that the opinion leader effects are statistically significant during this information technology implementation process. Quantitatively, if opinion leaders increase their technology usage by 10 percent, the physicians who work closely with those opinion leaders would increase their technology usage by 3...
September 2018: Health Informatics Journal
Lori Keough, Julie Wright, Bonnie Watson, Tanya Nixon-Silberg, Suzanne Leveille, Patricia A Halon
This mixed methods study evaluated student and provider attitudes and expectations about offering students online access to their student health services visit notes (open notes). Six (N=6) health care providers from four public universities in northeastern Massachusetts participated. Qualitative interviews were completed by students (N=14) from one University in fall of 2013 and an online survey was completed at two universities in Spring of 2014. Attitudes and expectations were explored using qualitative data and descriptive statistics were used to analyze survey questions...
September 2018: Health Informatics Journal
Iris Reychav, Avi Parush, Roger McHaney, Maya Hazan, Rami Moshonov
This article focuses on a conceptual framework that can be applied to the use of mobile technology in the waiting room with the goal of empowering women recently diagnosed with abnormal Pap test results. It further describes trends which indicate a need for improved and timely information dissemination. Genecology practice outpatients report a predominant feeling of worry on receipt of abnormal medical test results, along with a clearly expressed wish for additional information. This research suggests that there is room for improvement in existing processes through use of mobile technology with carefully vetted materials which indicate a doctor is interested in the patient's well-being...
September 2018: Health Informatics Journal
Iben Fasterholdt, Marie Gerstrøm, Benjamin Schnack Brandt Rasmussen, Knud Bonnet Yderstræde, Kristian Kidholm, Kjeld Møller Pedersen
This study compared the cost-effectiveness of telemonitoring with standard monitoring for patients with diabetic foot ulcers. The economic evaluation was nested within a pragmatic randomised controlled trial. A total of 374 patients were randomised to either telemonitoring or standard monitoring. Telemonitoring consisted of two tele-consultations in the patient's own home and one consultation at the outpatient clinic; standard monitoring consisted of three outpatient clinic consultations. Total healthcare costs were estimated over a 6-month period at individual patient level, from a healthcare sector perspective...
September 2018: Health Informatics Journal
Ali Ben-Mussa, Anthony M Paget
Smartphones with their rising popularity and versatile software 'apps' have great potential for revolutionising healthcare services. However, this was soon overshadowed by concerns highlighted by many studies over quality. These were subject and/or discipline specific and mostly evaluated compliance with a limited number of information portrayal standards originally devised for health websites. Hence, this study aimed to take a broader approach by evaluating the most popular apps categorised as medical in the United Kingdom for compliance with all of those standards systematically using the Health On the Net (HON) Foundation principles...
September 2018: Health Informatics Journal
Enid Wai-Yung Kwong, Hao Wu, Grantham Kwok-Hung Pang
This paper presents a new study based on a machine learning technique, specifically an artificial neural network, for predicting systolic blood pressure through the correlation of variables (age, BMI, exercise level, alcohol consumption level, smoking status, stress level, and salt intake level). The study was carried out using a database containing a variety of variables/factors. Each database of raw data was split into two parts: one part for training the neural network and the remaining part for testing the performance of the network...
September 2018: Health Informatics Journal
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