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BMC Medical Informatics and Decision Making

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https://www.readbyqxmd.com/read/28441950/development-of-a-web-based-patient-decision-aid-for-initiating-disease-modifying-anti-rheumatic-drugs-using-user-centred-design-methods
#1
Ingrid Nota, Constance H C Drossaert, Heleen C Melissant, Erik Taal, Harald E Vonkeman, Cees J Haagsma, Mart A F J van de Laar
BACKGROUND: A main element of patient-centred care, Patient Decision Aids (PtDAs) facilitate shared decision-making (SDM). A recent update of the International Patient Decision Aids Standards (IPDAS) emphasised patient involvement during PtDA development, but omitted a methodology for doing so. This article reports on the value of user-centred design (UCD) methods for the development of a PtDA that aims to support inflammatory arthritis patients in their choice between disease modifying anti-rheumatic drugs (DMARDs)...
April 26, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28441940/clinical-records-anonymisation-and-text-extraction-crate-an-open-source-software-system
#2
REVIEW
Rudolf N Cardinal
BACKGROUND: Electronic medical records contain information of value for research, but contain identifiable and often highly sensitive confidential information. Patient-identifiable information cannot in general be shared outside clinical care teams without explicit consent, but anonymisation/de-identification allows research uses of clinical data without explicit consent. RESULTS: This article presents CRATE (Clinical Records Anonymisation and Text Extraction), an open-source software system with separable functions: (1) it anonymises or de-identifies arbitrary relational databases, with sensitivity and precision similar to previous comparable systems; (2) it uses public secure cryptographic methods to map patient identifiers to research identifiers (pseudonyms); (3) it connects relational databases to external tools for natural language processing; (4) it provides a web front end for research and administrative functions; and (5) it supports a specific model through which patients may consent to be contacted about research...
April 26, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28431582/social-media-engagement-analysis-of-u-s-federal-health-agencies-on-facebook
#3
Sanmitra Bhattacharya, Padmini Srinivasan, Philip Polgreen
BACKGROUND: It is becoming increasingly common for individuals and organizations to use social media platforms such as Facebook. These are being used for a wide variety of purposes including disseminating, discussing and seeking health related information. U.S. Federal health agencies are leveraging these platforms to 'engage' social media users to read, spread, promote and encourage health related discussions. However, different agencies and their communications get varying levels of engagement...
April 21, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28431546/health-care-public-reporting-utilization-user-clusters-web-trails-and-usage-barriers-on-germany-s-public-reporting-portal-weisse-liste-de
#4
Christoph Pross, Lars-Henrik Averdunk, Josip Stjepanovic, Reinhard Busse, Alexander Geissler
BACKGROUND: Quality of care public reporting provides structural, process and outcome information to facilitate hospital choice and strengthen quality competition. Yet, evidence indicates that patients rarely use this information in their decision-making, due to limited awareness of the data and complex and conflicting information. While there is enthusiasm among policy makers for public reporting, clinicians and researchers doubt its overall impact. Almost no study has analyzed how users behave on public reporting portals, which information they seek out and when they abort their search...
April 21, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28427407/constructive-ehealth-evaluation-lessons-from-evaluation-of-ehr-development-in-4-danish-hospitals
#5
Anna Marie Balling Høstgaard, Pernille Bertelsen, Christian Nøhr
BACKGROUND: Information and communication sources in the healthcare sector are replaced with new eHealth technologies. This has led to problems arising from the lack of awareness of the importance of end-user involvement in eHealth development and of the difficulties caused by using traditional summative evaluation methods. The Constructive eHealth evaluation method (CeHEM) provides a solution to these problems by offering an evaluation framework for supporting and facilitating end-user involvement during all phases of eHealth development...
April 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28427405/ceiling-effect-in-emr-system-assimilation-a-multiple-case-study-in-primary-care-family-practices
#6
Marie-Claude Trudel, Josianne Marsan, Guy Paré, Louis Raymond, Ana Ortiz de Guinea, Éric Maillet, Thomas Micheneau
BACKGROUND: There has been indisputable growth in adoption of electronic medical record (EMR) systems in the recent years. However, physicians' progress in using these systems has stagnated when measured with maturity scales. While this so-called ceiling effect has been observed and its consequences described in previous studies, there is a paucity of research on the elements that could explain such an outcome. We first suggest that in the context of EMR systems we are in presence of a "tiered ceiling effect" and then we show why such phenomenon occurs...
April 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28427384/imbalanced-target-prediction-with-pattern-discovery-on-clinical-data-repositories
#7
Tak-Ming Chan, Yuxi Li, Choo-Chiap Chiau, Jane Zhu, Jie Jiang, Yong Huo
BACKGROUND: Clinical data repositories (CDR) have great potential to improve outcome prediction and risk modeling. However, most clinical studies require careful study design, dedicated data collection efforts, and sophisticated modeling techniques before a hypothesis can be tested. We aim to bridge this gap, so that clinical domain users can perform first-hand prediction on existing repository data without complicated handling, and obtain insightful patterns of imbalanced targets for a formal study before it is conducted...
April 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28420355/facilitators-and-barriers-to-using-physical-activity-smartphone-apps-among-chinese-patients-with-chronic-diseases
#8
Liu Sun, Yanling Wang, Brian Greene, Qian Xiao, Chen Jiao, Meihua Ji, Ying Wu
BACKGROUND: Smartphones and their applications (apps) impact society and health care. With the growth of smartphone users and app downloads in China, patients with chronic diseases have access to a self-management strategy for physical activity. Although studies report physical activity apps improve the physical activity of patients, data is limited concerning their use of these apps. Therefore, this study investigated the current usage, willingness to use, and barriers to using physical activity apps of Chinese patients with chronic diseases...
April 19, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28420352/assessing-the-reliability-of-self-reported-weight-for-the-management-of-heart-failure-application-of-fraud-detection-methods-to-a-randomised-trial-of-telemonitoring
#9
Adam Steventon, Sarwat I Chaudhry, Zhenqiu Lin, Jennifer A Mattera, Harlan M Krumholz
BACKGROUND: Since clinical management of heart failure relies on weights that are self-reported by the patient, errors in reporting will negatively impact the ability of health care professionals to offer timely and effective preventive care. Errors might often result from rounding, or more generally from individual preferences for numbers ending in certain digits, such as 0 or 5. We apply fraud detection methods to assess preferences for numbers ending in these digits in order to inform medical decision making...
April 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28410607/aprecisekure-an-approach-of-precision-medicine-in-a-rare-disease
#10
Ottavia Spiga, Vittoria Cicaloni, Andrea Bernini, Andrea Zatkova, Annalisa Santucci
BACKGROUND: Alkaptonuria (AKU; OMIM:203500) is a classic Mendelian genetic disorder described by Garrod already in 1902. It causes urine to turn black upon exposure to air and also leads to ochronosis as well as early osteoarthritis. Our objective is the implementation of a Precision Medicine (PM) approach to AKU. We present here a novel ApreciseKUre database facilitating the collection, integration and analysis of patient data in order to create an AKU-dedicated "PM Ecosystem" in which genetic, biochemical and clinical resources can be shared among registered researchers...
April 14, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28410579/assessing-the-usability-by-clinicians-of-vision-a-hierarchical-display-of-patient-collected-physiological-information-to-clinicians
#11
Cubby L Gardner, Fang Liu, Paul Fontelo, Michael C Flanagan, Albert Hoang, Harry B Burke
BACKGROUND: The inability of patients to accurately and completely recount their clinical status between clinic visits reduces the clinician's ability to properly manage their patients. One way to improve this situation is to collect objective patient information while the patients are at home and display the collected multi-day clinical information in parallel on a single screen, highlighting threshold violations for each channel, and allowing the viewer to drill down to any analog signal on the same screen, while maintaining the overall physiological context of the patient...
April 14, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28407816/automatic-identification-of-variables-in-epidemiological-datasets-using-logic-regression
#12
Matthias W Lorenz, Negin Ashtiani Abdi, Frank Scheckenbach, Anja Pflug, Alpaslan Bülbül, Alberico L Catapano, Stefan Agewall, Marat Ezhov, Michiel L Bots, Stefan Kiechl, Andreas Orth
BACKGROUND: For an individual participant data (IPD) meta-analysis, multiple datasets must be transformed in a consistent format, e.g. using uniform variable names. When large numbers of datasets have to be processed, this can be a time-consuming and error-prone task. Automated or semi-automated identification of variables can help to reduce the workload and improve the data quality. For semi-automation high sensitivity in the recognition of matching variables is particularly important, because it allows creating software which for a target variable presents a choice of source variables, from which a user can choose the matching one, with only low risk of having missed a correct source variable...
April 13, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28407806/development-and-validation-of-classifiers-and-variable-subsets-for-predicting-nursing-home-admission
#13
Mikko Nuutinen, Riikka-Leena Leskelä, Ella Suojalehto, Anniina Tirronen, Vesa Komssi
BACKGROUND: In previous years a substantial number of studies have identified statistically important predictors of nursing home admission (NHA). However, as far as we know, the analyses have been done at the population-level. No prior research has analysed the prediction accuracy of a NHA model for individuals. METHODS: This study is an analysis of 3056 longer-term home care customers in the city of Tampere, Finland. Data were collected from the records of social and health service usage and RAI-HC (Resident Assessment Instrument - Home Care) assessment system during January 2011 and September 2015...
April 13, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28407777/automatic-migraine-classification-via-feature-selection-committee-and-machine-learning-techniques-over-imaging-and-questionnaire-data
#14
Yolanda Garcia-Chimeno, Begonya Garcia-Zapirain, Marian Gomez-Beldarrain, Begonya Fernandez-Ruanova, Juan Carlos Garcia-Monco
BACKGROUND: Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classification, yet little is known about how feature selection methods perform in diffusion tensor images (DTIs). In this study, feature selection and machine learning classification methods were tested for the purpose of automating diagnosis of migraines using both DTIs and questionnaire answers related to emotion and cognition - factors that influence of pain perceptions...
April 13, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28403865/implementing-360%C3%A2-quantified-self-for-childhood-obesity-feasibility-study-and-experiences-from-a-weight-loss-camp-in-qatar
#15
Luis Fernandez-Luque, Meghna Singh, Ferda Ofli, Yelena A Mejova, Ingmar Weber, Michael Aupetit, Sahar Karim Jreige, Ahmed Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna
BACKGROUND: The explosion of consumer electronics and social media are facilitating the rise of the Quantified Self (QS) movement where millions of users are tracking various aspects of their daily life using social media, mobile technology, and wearable devices. Data from mobile phones, wearables and social media can facilitate a better understanding of the health behaviors of individuals. At the same time, there is an unprecedented increase in childhood obesity rates worldwide. This is a cause for grave concern due to its potential long-term health consequences (e...
April 13, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28395667/effects-of-workload-work-complexity-and-repeated-alerts-on-alert-fatigue-in-a-clinical-decision-support-system
#16
Jessica S Ancker, Alison Edwards, Sarah Nosal, Diane Hauser, Elizabeth Mauer, Rainu Kaushal
BACKGROUND: Although alert fatigue is blamed for high override rates in contemporary clinical decision support systems, the concept of alert fatigue is poorly defined. We tested hypotheses arising from two possible alert fatigue mechanisms: (A) cognitive overload associated with amount of work, complexity of work, and effort distinguishing informative from uninformative alerts, and (B) desensitization from repeated exposure to the same alert over time. METHODS: Retrospective cohort study using electronic health record data (both drug alerts and clinical practice reminders) from January 2010 through June 2013 from 112 ambulatory primary care clinicians...
April 10, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28390405/fam-face-sg-a-score-for-risk-stratification-of-frequent-hospital-admitters
#17
Lian Leng Low, Nan Liu, Kheng Hock Lee, Marcus Eng Hock Ong, Sijia Wang, Xuan Jing, Julian Thumboo
BACKGROUND: An accurate risk stratification tool is critical in identifying patients who are at high risk of frequent hospital readmissions. While 30-day hospital readmissions have been widely studied, there is increasing interest in identifying potential high-cost users or frequent hospital admitters. In this study, we aimed to derive and validate a risk stratification tool to predict frequent hospital admitters. METHODS: We conducted a retrospective cohort study using the readily available clinical and administrative data from the electronic health records of a tertiary hospital in Singapore...
April 8, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28390396/validity-of-type-2-diabetes-diagnosis-in-a-population-based-electronic-health-record-database
#18
Conchi Moreno-Iribas, Carmen Sayon-Orea, Josu Delfrade, Eva Ardanaz, Javier Gorricho, Rosana Burgui, Marian Nuin, Marcela Guevara
BACKGROUND: The increasing burden of type 2 diabetes mellitus makes the continuous surveillance of its prevalence and incidence advisable. Electronic health records (EHRs) have great potential for research and surveillance purposes; however the quality of their data must first be evaluated for fitness for use. The aim of this study was to assess the validity of type 2 diabetes diagnosis in a primary care EHR database covering more than half a million inhabitants, 97% of the population in Navarra, Spain...
April 8, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28376785/patients-support-for-health-information-exchange-a-literature-review-and-classification-of-key-factors
#19
Pouyan Esmaeilzadeh, Murali Sambasivan
BACKGROUND: Literature indicates that one of the most important factors affecting the widespread adoption of Health Information Exchange (HIE) is patient support and endorsement. In order to reap all the expected benefits of HIE, patients' acceptance of technology is a challenge that is not fully studied. There are a few studies which have focused on requirements of electronic medical information exchange from consumers' views and expectations. This study is aimed at reviewing the literature to articulate factors that affect patients to support HIE efforts...
April 4, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28351408/application-of-short-message-service-to-control-blood-cholesterol-a-field-trial
#20
Saeed Sadeghian, Mohsen Shams, Zahra Alipour, Soheil Saadat, Reza Hamidian, Maryam Shahrzad
BACKGROUND: Despite recommendations, many middle-age adults neglect to check their blood cholesterol levels. Short message service (SMS, also known as texting) has been seldom studied for preventive education. We estimated how SMS can be a cost-effective method in encouraging people to check their blood cholesterol levels. METHODS: In a field trial, 3600 cell phone users (age > 30) were randomly assigned to the intervention (N: 1200) and the control groups (N: 2400)...
March 28, 2017: BMC Medical Informatics and Decision Making
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