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Health Informatics Journal

Angeline Kuek, Sharon Hakkennes
This study aimed to assess the digital literacy levels and attitudes towards information systems of staff in a health service that will be implementing an electronic health record so that barriers towards implementation could be addressed. A survey measuring staff confidence levels and their attitudes towards information systems was developed. Data were collected over a five-week period, with data analysed using frequency analysis and a chi-square analysis. There were 407 respondents to the survey. The majority (70-80%) of which reported high digital literacy levels, expressing confidence in using technology...
April 15, 2019: Health Informatics Journal
Dominic Furniss, Bryony Dean Franklin, Ann Blandford
Many studies have highlighted the patient safety risks in intravenous medication administration, and various technological solutions have been proposed to mitigate those risks, including 'smart pumps' and closed-loop systems. Few studies describe these implementations in detail. In this article, we report on a sociotechnical investigation of a closed-loop documentation system linked with smart pumps for intravenous infusion administration on an intensive care unit. The smart pumps are 'mapped' to an electronic prescribing and medication administration system, allowing infusion rates, volumes and boluses of intravenous medication to be monitored in real time...
April 15, 2019: Health Informatics Journal
Samiye Mete, Sevcan Fata, Merlinda Aluş Tokat
Many studies have shown that women's experiences, feelings and opinions during their infertility treatment play an important role in treatment outcomes. This qualitative study aimed to reveal the experiences, feelings and opinions of Turkish women with infertility. The data were collected from two Internet forums between October 2016 and November 2016, and the writings of 26 women were explored. The key words "woman with infertility," "feelings, opinion, experience and blogs" and "infertility and blogs" were browsed...
April 11, 2019: Health Informatics Journal
Binay Subedi, Abeer Alsadoon, Pwc Prasad, Omar Hisham Alsadoon, Sami Haddad, Ahmad Alrubaie
Medical diagnosis through classification is often critical as the medical datasets are multilabel in nature, that is, a patient may have more than one health condition: high blood pressure, obesity, and diabetes. The aim of this article is to improve the accuracy and performance of multilabel classification using multilabel feature selection and improved overlapping clustering method. The proposed system consists of Optimized Initial Cluster Centers and Enhanced Objective Function technique to reduce the number of iterations in the clustering process thereby improving the clustering performance and to improve the clustering accuracy which will result in improving the accuracy and performance of multilabel classification...
April 11, 2019: Health Informatics Journal
David Lowenstein, Wu Yi Zheng, Rosemary Burke, Eliza Kenny, Anmol Sandhu, Meredith Makeham, Johanna Westbrook, Richard O Day, Melissa T Baysari
This study aimed to assess drug-drug interaction alert interfaces and to examine the relationship between compliance with human factors principles and user-preferences of alerts. Three reviewers independently evaluated drug-drug interaction alert interfaces in seven electronic systems using the Instrument-for-Evaluating-Human-Factors-Principles-in-Medication-Related-Decision-Support-Alerts (I-MeDeSA). Fifty-three doctors and pharmacists completed a survey to rate the alert interfaces from best to worst and reported on liked and disliked features...
April 11, 2019: Health Informatics Journal
Yunpeng Zhao, Yi Guo, Xing He, Yonghui Wu, Xi Yang, Mattia Prosperi, Yanghua Jin, Jiang Bian
Sexual and gender minorities face extreme challenges that breed stigma with alarming consequences damaging their mental health. Nevertheless, sexual and gender minority people and their mental health needs remain little understood. Because of stigma, sexual and gender minorities are often unwilling to self-identify themselves as sexual and gender minorities when asked. However, social media have become popular platforms for health-related researches. We first explored methods to find sexual and gender minorities through their self-identifying tweets, and further classified them into 11 sexual and gender minority subgroups...
April 10, 2019: Health Informatics Journal
Tung-Cheng Lin, Davis Fang, Siang-Ying Hsueh, Ming-Cheng Lai
Facebook long-term care groups have been established by long-term care workers, and few studies have explored the related drivers of participation from the perspective of caregivers. This study applied a mixed-methods approach; the qualitative component conducted a pilot study to explore the drivers of participation in Facebook long-term care groups and found that the use and gratification theory provides a valid approach for explaining these drivers. Subsequently, the quantitative component, based on the use and gratification theory, proposed a conceptual model to examine the effect of these drivers on the social identity of these groups as well as the modulating effects of extraversion and group diversity in terms of age and educational background...
April 8, 2019: Health Informatics Journal
Sabine Vollstädt-Klein, Philip Mildner, Jan Malte Bumb, Damian Karl, Christoph Ueberle, Yury Shevchenko, Falk Kiefer, Wolfgang Effelsberg
The feasibility study was aimed to develop a web-based gaming tool for the therapy of alcohol use disorder to offer patients a cue-exposure-based extinction and decision training, enhanced with virtual reality. To increase the training effect, patients playfully experience situations that resemble critical real-life situations. For implementing the game, a combination of HTML5 and JavaScript was used. The application comes with an administrator interface, to allow editing the game content. Initially, we included 21 patients (Group 1), 18 suffering from alcohol use disorder and 3 using cannabis (18/3 male/female, mean age 39 ± 13 years)...
April 8, 2019: Health Informatics Journal
Camilla Bjørnstad, Gunnar Ellingsen
Integration and interoperability between different information and communication technology (ICT) systems are crucial for efficient treatment and care in hospitals. In this article, we are particularly interested in the daily local work conducted by health-care personnel to maintain integrations. A principal aim of our article is, therefore, to contribute to a sociotechnical understanding of the "data work" that is embedded in the integration of health-care systems. Theoretically, we draw on the concepts of "information infrastructures" and "articulation work," and we discuss how social status may influence the invisible articulation work...
March 28, 2019: Health Informatics Journal
Isabel B de Angst, Marieke Gm Weernink, Paul Jm Kil, Janine A van Til, Erik B Cornel, Johanna Jm Takkenberg
Current guidelines for the development of decision aids recommend that they have to include a process for helping patients clarify their personal values, for example, by using values clarification methods. In this article, we extensively described the development process of the web-based values clarification method for patients with localized low- to intermediate-risk prostate cancer based on the analytic hierarchy process. With analytic hierarchy process, the relative importance of different attributes of available treatments can be determined through series of pairwise comparisons of potential outcomes...
March 27, 2019: Health Informatics Journal
Polyxeni Vassilakopoulou, Margunn Aanestad
In this article, we examine work with communal data in the context of clinical genetic testing. Drawing from prior research on digital research infrastructures and from the analysis of our empirical data on genetic testing, we describe how data generated in laboratories distributed all over the world are shared and re-used. Our research findings point to six different human-driven activities related to expanding, disambiguating, sanitizing and assessing the relevance, validity and combinability of data. We contribute to research within Health Informatics with a framework that foregrounds human-driven activities for data interoperability...
March 19, 2019: Health Informatics Journal
Helena Vallo Hult, Anders Hansson, Lars Svensson, Martin Gellerstedt
The medical profession is highly specialized, demanding continuous learning, while also undergoing rapid development in the rise of data-driven healthcare. Based on clinical scenarios, this study explores how resident physicians view their roles and practices in relation to informed patients and patient-centric digital technologies. The paper illustrates how the new role of patients alters physicians' work and use of data to learn and update their professional practice. It suggests new possibilities for developing collegial competence and using patient experiences more systematically...
March 19, 2019: Health Informatics Journal
Rui Duan, Xinyuan Zhang, Jingcheng Du, Jing Huang, Cui Tao, Yong Chen
Evaluation of premarketing drug safety in clinical trials is often limited, due to the relatively small sample size and short follow-up time. The data collected in the postmarketing spontaneous reporting systems such as Food and Drug Administration Adverse Event Reporting System as well as electronic medical record systems provide crucial information to evaluate postmarketing drug safety. In this article, we assess the strengths and limitations of Food and Drug Administration Adverse Event Reporting System and electronic medical record data in studying the postmarketing pharmacovigilance outcomes for 12 selected antidepressant drugs...
March 19, 2019: Health Informatics Journal
Bryony Dean Franklin, Seetal Puaar
Most studies evaluating the impact of electronic prescribing on prescribing safety have used comparatively weak study designs such as uncontrolled before-and-after studies. This study aimed to apply a more robust naturalistic stepped wedge study design to compare the prevalence and types of prescribing errors for electronic prescribing and paper prescribing. Data were collected weekly during a phased electronic prescribing implementation across 20 wards in a large English hospital. We identified 511 (7.8%) erroneous orders in 6523 paper medication orders, and 312 (6...
March 18, 2019: Health Informatics Journal
Miria Grisot, Alexander Moltubakk Kempton, Laila Hagen, Margunn Aanestad
Healthcare professionals are increasingly working with data in their care delivery practices. However, there is limited understanding of how data work is enabling novel practices. This study focuses on novel nursing practices emerging in the context of remote monitoring of chronic patients. Specifically, we analyze how personalization of care is achieved in practice through data work. The study is based on a case of a pilot center in Norway where nurses provide remote care to patients by using a specialized system...
March 18, 2019: Health Informatics Journal
Megan W Miller, Rebecca T Emeny, Jennifer A Snide, Gary L Freed
Hospital-acquired pressure injuries (HAPIs) are a major source of unintended patient harm and unnecessary costs. The Braden Scale is widely used for risk assessment, yet it lacks specificity and clinical applications. This study used the electronic health record to examine associations between patient-specific factors and pressure injury. Adult patients (age >18) with 3-day length of stay from April 2011 to December 2016 were included. Pressure injuries were identified by ICD-9/ICD-10 codes. Longitudinal multivariate logistic regression was used to evaluate the association between patient-specific factors and HAPIs...
March 18, 2019: Health Informatics Journal
Jianhong Luo, Jingcheng Du, Cui Tao, Hua Xu, Yaoyun Zhang
A valid mechanism for suicide detection and intervention to a wider population online has not yet been fully established. With the increasing suicide rate, we proposed an approach that aims to examine temporal patterns of potential suicidal ideations and behaviors on Twitter to better understand their risk factors and time-varying features. It identifies latent suicide topics and then models the suicidal topic-related score time series to quantitatively represent behavior patterns on Twitter. After evaluated on a collection of suicide-related tweets in 2016, 13 key risk factors were discovered and the temporal patterns of suicide behavior on different days during 1 week were identified to highlight the distinct time-varying features related to different risk factors...
March 14, 2019: Health Informatics Journal
Stacey R Kessler, Shani Pindek, Gary Kleinman, Stephanie A Andel, Paul E Spector
Since 2009, over 176 million patients in the United States have been adversely impacted by data breaches affecting Health Insurance Portability and Accountability Act-covered institutions. While the popular press often attributes data breaches to external hackers, most breaches are the result of employee carelessness and/or failure to comply with information security policies and procedures. To change employee behavior, we borrow from the organizational climate literature and introduce the Information Security Climate Index, developed and validated using two pilot samples...
March 14, 2019: Health Informatics Journal
Anna Sigridur Islind, Tomas Lindroth, Johan Lundin, Gunnar Steineck
This article reports on how the introduction of patient-generated health data affects the nurses' and patients' data work and unpacks how new forms of data collection trigger shifts in the work with data through translation work. The article is based on a 2.5-year case study examining data work of nurses and patients at a cancer rehabilitation clinic at a Swedish Hospital in which patient-generated health data are gathered by patients and then used outside and within clinical practice for decision-making. The article reports on how data are prepared and translated, that is, made useful by the nurses and patients...
March 13, 2019: Health Informatics Journal
Dursun Delen, Behrooz Davazdahemami, Enes Eryarsoy, Leman Tomak, Abhinav Valluru
Epilepsy is one of the most common brain disorders that greatly affects patients' quality of life and poses serious risks to their health. While the majority of the patients positively respond to the existing anti-epilepsy drugs, others who developed the refractory type of epilepsy show resistance against drug therapy and need to undergo advance treatments such as surgery. Given that identifying such patients is not a straightforward process and requires long courses of trial and error with anti-epilepsy drugs, this study aims at predicting those at-risk patients using clinical and demographic data obtained from electronic medical records...
March 12, 2019: Health Informatics Journal
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