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  1. Women of low socioeconomic status (SES) diagnosed with early stage breast cancer are less likely to be involved in treatment decisions. They tend to report higher decisional regret and poorer communication. Ev...

    Authors: Shama Alam, Glyn Elwyn, Sanja Percac-Lima, Stuart Grande and Marie-Anne Durand
    Citation: BMC Medical Informatics and Decision Making 2016 16:147
  2. Mobile technology to support community health has surged in popularity, yet few studies have systematically examined usability of mobile platforms for this setting.

    Authors: Jayant V. Rajan, Juliana Moura, Gato Gourley, Karina Kiso, Alexandre Sizilio, Ana Maria Cortez, Lee W. Riley, Maria Amelia Veras and Urmimala Sarkar
    Citation: BMC Medical Informatics and Decision Making 2016 16:146
  3. The value of health information technology (IT) ultimately depends on end users accepting and appropriately using it for patient care. This study examined pediatric intensive care unit nurses’ perceptions, acc...

    Authors: Richard J. Holden, Onur Asan, Erica M. Wozniak, Kathryn E. Flynn and Matthew C. Scanlon
    Citation: BMC Medical Informatics and Decision Making 2016 16:145
  4. Management of diabetes through improved glycemic control and risk factor modification can help prevent long-term complications. Much diabetes management is self-management, in which healthcare providers play a...

    Authors: Laura Desveaux, Payal Agarwal, Jay Shaw, Jennifer M. Hensel, Geetha Mukerji, Nike Onabajo, Husayn Marani, Trevor Jamieson, Onil Bhattacharyya, Danielle Martin, Muhammad Mamdani, Lianne Jeffs, Walter P. Wodchis, Noah M. Ivers and R. Sacha Bhatia
    Citation: BMC Medical Informatics and Decision Making 2016 16:144
  5. Digitized (scanned) medical records have been seen as a means for hospitals to reduce costs and improve access to records. However, clinical usability of digitized records can potentially have negative effects...

    Authors: Philip J. Scott, Paul J. Curley, Paul B. Williams, Ian P. Linehan and Steven H. Shaha
    Citation: BMC Medical Informatics and Decision Making 2016 16:143
  6. Despite advances in diagnosis and treatment of type 2 diabetes, suboptimal metabolic control persists. Patient education in diabetes has been proved to enhance self-efficacy and guideline-driven treatment, how...

    Authors: I. Odnoletkova, H. Buysse, F. Nobels, G. Goderis, B. Aertgeerts, L. Annemans and D. Ramaekers
    Citation: BMC Medical Informatics and Decision Making 2016 16:142
  7. As a result of digitalization, data is available about almost every aspect of our lives. Personal data collected by individuals themselves or stored by organizations interacting with people is known as a digit...

    Authors: Marja Harjumaa, Saila Saraniemi, Saara Pekkarinen, Minna Lappi, Heidi Similä and Minna Isomursu
    Citation: BMC Medical Informatics and Decision Making 2016 16:139
  8. With the emergence of the electronic health records (EHRs) as a pervasive healthcare information technology, new opportunities and challenges for use of clinical data for quality measurements arise with respec...

    Authors: Marijn Scholte, Simone A. van Dulmen, Catherina W. M. Neeleman-Van der Steen, Philip J. van der Wees, Maria W. G. Nijhuis-van der Sanden and Jozé Braspenning
    Citation: BMC Medical Informatics and Decision Making 2016 16:141
  9. We previously developed YouthCHAT, a youth programme for electronic screening and intervention for lifestyle risk factors and mental health issues. Our aim was to tailor the YouthCHAT package for use in a clin...

    Authors: Felicity Goodyear-Smith, Arden Corter and Hannah Suh
    Citation: BMC Medical Informatics and Decision Making 2016 16:140
  10. Cognitive biases and personality traits (aversion to risk or ambiguity) may lead to diagnostic inaccuracies and medical errors resulting in mismanagement or inadequate utilization of resources. We conducted a ...

    Authors: Gustavo Saposnik, Donald Redelmeier, Christian C. Ruff and Philippe N. Tobler
    Citation: BMC Medical Informatics and Decision Making 2016 16:138
  11. Smart Health is known as a concept that enhances networking, intelligent data processing and combining patient data with other parameters. Open data models can play an important role in creating a framework fo...

    Authors: Hans Demski, Sebastian Garde and Claudia Hildebrand
    Citation: BMC Medical Informatics and Decision Making 2016 16:137
  12. Postoperative adverse events are known to increase length of stay and cost. However, research on how adverse events affect patient flow and operational performance has been relatively limited to date. Moreover...

    Authors: Ahmed Almashrafi and Laura Vanderbloemen
    Citation: BMC Medical Informatics and Decision Making 2016 16:136
  13. Ontario, the most populous province in Canada, has a universal healthcare system that routinely collects health administrative data on its 13 million legal residents that is used for health research. Record li...

    Authors: Maria Chiu, Michael Lebenbaum, Kelvin Lam, Nelson Chong, Mahmoud Azimaee, Karey Iron, Doug Manuel and Astrid Guttmann
    Citation: BMC Medical Informatics and Decision Making 2016 16:135
  14. Prediction of influenza weeks in advance can be a useful tool in the management of cases and in the early recognition of pandemic influenza seasons.

    Authors: Linda Moniz, Anna L. Buczak, Ben Baugher, Erhan Guven and Jean-Paul Chretien
    Citation: BMC Medical Informatics and Decision Making 2016 16:134
  15. Speech recognition software might increase productivity in clinical documentation. However, low user satisfaction with speech recognition software has been observed. In this case study, an approach for impleme...

    Authors: Christoph Ahlgrim, Oliver Maenner and Manfred W. Baumstark
    Citation: BMC Medical Informatics and Decision Making 2016 16:132
  16. Telehealth technologies, which enable delivery of healthcare services at distance, offer promise for responding to the challenges created by an ageing population. However, successful implementation of teleheal...

    Authors: Wendy Shulver, Maggie Killington and Maria Crotty
    Citation: BMC Medical Informatics and Decision Making 2016 16:131
  17. Computer adaptive testing (CAT) of the activities of daily living (ADL) functions is required (i) to reveal the advantages of using an efficient and accurate estimation method, (ii) to determine the cutpoint f...

    Authors: Tsair-Wei Chien and Weir-Sen Lin
    Citation: BMC Medical Informatics and Decision Making 2016 16:130
  18. Administrative records in France, especially medical and social records, have huge potential for statistical studies. The NIR (a national identifier) is widely used in medico-social administrations, and this w...

    Authors: Maxence Guesdon, Eric Benzenine, Kamel Gadouche and Catherine Quantin
    Citation: BMC Medical Informatics and Decision Making 2016 16:129
  19. Obesity disproportionately affects Latina women, but few targeted, technology-assisted interventions that incorporate tailored health information exist for this population. The Veterans Health Administration (...

    Authors: Hector R. Perez, Michael W. Nick, Katrina F. Mateo, Allison Squires, Scott E. Sherman, Adina Kalet and Melanie Jay
    Citation: BMC Medical Informatics and Decision Making 2016 16:128
  20. The Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN) is an international collaborative project with the overall objective of standardizing the approach to the evaluation and treatment o...

    Authors: Amelia Barwise, Lisbeth Garcia-Arguello, Yue Dong, Manasi Hulyalkar, Marija Vukoja, Marcus J. Schultz, Neill K. J. Adhikari, Benjamin Bonneton, Oguz Kilickaya, Rahul Kashyap, Ognjen Gajic and Christopher N. Schmickl
    Citation: BMC Medical Informatics and Decision Making 2016 16:127
  21. Millions of Americans need but don’t receive treatment for substance use, and evidence suggests that addiction-focused interventions on smart phones could support their recovery. There is little research on im...

    Authors: Marie-Louise Mares, David H. Gustafson, Joseph E. Glass, Andrew Quanbeck, Helene McDowell, Fiona McTavish, Amy K. Atwood, Lisa A. Marsch, Chantelle Thomas, Dhavan Shah, Randall Brown, Andrew Isham, Mary Jane Nealon and Victoria Ward
    Citation: BMC Medical Informatics and Decision Making 2016 16:126
  22. Trauma is the leading cause of death between the ages of 1 to 44 in the United States. Blood loss is the primary cause of these deaths. The discrimination of states through which patients transition would be h...

    Authors: Yuanyang Zhang, Tie Bo Wu, Bernie J. Daigle Jr, Mitchell Cohen and Linda Petzold
    Citation: BMC Medical Informatics and Decision Making 2016 16:124
  23. Hospital-based patient portals have the potential to better inform and engage patients in their care. We sought to assess patients’ and healthcare providers’ perceptions of a hospital-based portal and identify...

    Authors: Kevin J. O’Leary, Rashmi K. Sharma, Audrey Killarney, Lyndsey S. O’Hara, Mary E. Lohman, Eckford Culver, David M. Liebovitz and Kenzie A. Cameron
    Citation: BMC Medical Informatics and Decision Making 2016 16:123
  24. Presentation of confidence intervals alongside information about treatment effects can support informed treatment choices in people with multiple sclerosis.

    Authors: Anne C. Rahn, Imke Backhus, Franz Fuest, Karin Riemann-Lorenz, Sascha Köpke, Adrianus van de Roemer, Ingrid Mühlhauser and Christoph Heesen
    Citation: BMC Medical Informatics and Decision Making 2016 16:122
  25. Standards, methods, and tools supporting the integration of clinical data and genomic information are an area of significant need and rapid growth in biomedical informatics. Integration of cancer clinical data...

    Authors: Harry Hochheiser, Melissa Castine, David Harris, Guergana Savova and Rebecca S. Jacobson
    Citation: BMC Medical Informatics and Decision Making 2016 16:121
  26. Numerous types of digital health interventions (DHIs) are available to patients and the public but many factors affect their ability to engage and enrol in them. This systematic review aims to identify and syn...

    Authors: Siobhan O’Connor, Peter Hanlon, Catherine A. O’Donnell, Sonia Garcia, Julie Glanville and Frances S. Mair
    Citation: BMC Medical Informatics and Decision Making 2016 16:120
  27. Modern flexible multiple daily injection (MDI) therapy requires people with diabetes to manage complex mathematical calculations to determine insulin doses on a day to day basis. Automated bolus calculators as...

    Authors: Brigid A. Knight, H. David McIntyre, Ingrid J. Hickman and Marina Noud
    Citation: BMC Medical Informatics and Decision Making 2016 16:119
  28. Approximately 90 % of physicians in Japan use Kampo medicine in daily practice. However, it is a challenge for physicians who do not specialize in Kampo medicine to select a proper Kampo formula out of the 148...

    Authors: Tetsuhiro Yoshino, Kotoe Katayama, Yuko Horiba, Kaori Munakata, Rui Yamaguchi, Seiya Imoto, Satoru Miyano, Hideki Mima and Kenji Watanabe
    Citation: BMC Medical Informatics and Decision Making 2016 16:118
  29. The Analytic Hierarchy Process (AHP) is increasingly used to measure patient priorities. Studies have shown that there are several different approaches to data acquisition and data aggregation. The aim of this...

    Authors: Frédéric Pauer, Katharina Schmidt, Ana Babac, Kathrin Damm, Martin Frank and J.-Matthias Graf von der Schulenburg
    Citation: BMC Medical Informatics and Decision Making 2016 16:117
  30. The intent of this review is to discover the types of inquiry and range of objectives and outcomes addressed in studies of the impacts of Electronic Medical Record (EMR) implementations in limited resource set...

    Authors: Badeia Jawhari, Dave Ludwick, Louanne Keenan, David Zakus and Robert Hayward
    Citation: BMC Medical Informatics and Decision Making 2016 16:116
  31. The wide offer of information on pharmaceuticals does not often fulfill physicians’ needs: problems of relevance, access, quality and applicability are widely recognized, and doctors often rely on their own ex...

    Authors: Giulio Formoso, Paolo Rizzini, Maurizio Bassi, Paolo Bonfanti, Giuliano Rizzardini, Annalisa Campomori and Paola Mosconi
    Citation: BMC Medical Informatics and Decision Making 2016 16:115
  32. Healthcare providers generate a huge amount of biomedical data stored in either legacy system (paper-based) format or electronic medical records (EMR) around the world, which are collectively referred to as bi...

    Authors: Ligang Luo, Liping Li, Jiajia Hu, Xiaozhe Wang, Boulin Hou, Tianze Zhang and Lue Ping Zhao
    Citation: BMC Medical Informatics and Decision Making 2016 16:114
  33. Few studies have evaluated stakeholder engagement in chronic kidney disease (CKD) research prioritization. In this two-arm, parallel group randomized controlled trial, we sought to compare an in-person nominal...

    Authors: Meghan J. Elliott, Sharon E. Straus, Neesh Pannu, Sofia B. Ahmed, Andreas Laupacis, George C. Chong, David R. Hillier, Kate T. Huffman, Andrew C. Lei, Berlene V. Villanueva, Donna M. Young, Helen Tam-Tham, Maoliosa Donald, Erin Lillie, Braden J. Manns and Brenda R. Hemmelgarn
    Citation: BMC Medical Informatics and Decision Making 2016 16:113
  34. Medication reconciliation has been identified as an important intervention to minimize the incidence of unintentional medication discrepancies at transitions in care. However, there is a lack of evidence for t...

    Authors: Alemayehu B. Mekonnen, Tamrat B. Abebe, Andrew J. McLachlan and Jo-anne E. Brien
    Citation: BMC Medical Informatics and Decision Making 2016 16:112
  35. Prescription narcotic overdoses and abuse have reached alarming numbers. To address this epidemic, integrated clinical decision support within the electronic medical record (EMR) to impact prescribing behavior...

    Authors: Rachel B. Seymour, Daniel Leas, Meghan K. Wally and Joseph R. Hsu
    Citation: BMC Medical Informatics and Decision Making 2016 16:111

    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2016 16:125

  36. The adoption of the electronic medical record (EMR) is rapidly growing in China. Constantly evolving, Chinese EMRs contain vast amounts of clinical and financial data, providing tremendous potential for resear...

    Authors: Yuan Xu, Ning Li, Mingshan Lu, Robert P. Myers, Elijah Dixon, Robin Walker, Libo Sun, Xiaofei Zhao and Hude Quan
    Citation: BMC Medical Informatics and Decision Making 2016 16:110
  37. Primary care physicians and other primary health care professionals from Alberta, Canada identified a clinical pathway as a potential tool to facilitate uptake of clinical practice guidelines for the diagnosis...

    Authors: Maoliosa Donald, Kerry McBrien, Wes Jackson, Braden J. Manns, Marcello Tonelli, Kathryn King-Shier, Kailash Jindal, Richard Z. Lewanczuk, Nairne Scott-Douglas, Ted Braun, Sharon E. Straus, Christopher Naugler, Meghan J. Elliott, Min Jun and Brenda R. Hemmelgarn
    Citation: BMC Medical Informatics and Decision Making 2016 16:109
  38. The Internet is valuable for those with limited access to health care services because of its low cost and wealth of information. Our objectives were to investigate how the Internet is used to obtain health-re...

    Authors: Susan L. Perez, Richard L. Kravitz, Robert A. Bell, Man Shan Chan and Debora A. Paterniti
    Citation: BMC Medical Informatics and Decision Making 2016 16:107
  39. Well-designed clinical prediction models (CPMs) often out-perform clinicians at estimating probabilities of clinical outcomes, though their adoption by family physicians is variable. How family physicians inte...

    Authors: Benjamin Brown, Sudeh Cheraghi-Sohi, Thomas Jaki, Ting-Li Su, Iain Buchan and Matthew Sperrin
    Citation: BMC Medical Informatics and Decision Making 2016 16:106
  40. Shared decision making is a stated aim of several healthcare systems. In the area of cancer, patients’ views have informed policy on screening and treatment but there is little information about their views on...

    Authors: Sandra Hollinghurst, Jonathan Banks, Lin Bigwood, Fiona M. Walter, Willie Hamilton and Tim J. Peters
    Citation: BMC Medical Informatics and Decision Making 2016 16:105
  41. In communicating chronic risks, there is increasing use of a metaphor that can be termed ‘effective-age’: the age of a ‘healthy’ person who has the same risk profile as the individual in question. Popular meas...

    Authors: David Spiegelhalter
    Citation: BMC Medical Informatics and Decision Making 2016 16:104
  42. Web-based interventions for smoking cessation available in Portuguese do not adhere to evidence-based treatment guidelines. Besides, all existing web-based interventions are built on proprietary platforms that...

    Authors: H. P. Gomide, H. S. Bernardino, K. Richter, L. F. Martins and T. M. Ronzani
    Citation: BMC Medical Informatics and Decision Making 2016 16:103
  43. A problem-oriented approach is one of the possibilities to organize a medical record. The problem-oriented medical record (POMR) - a structured organization of patient information per presented medical problem...

    Authors: Sereh M. J. Simons, Felix H. J. M. Cillessen and Jan A. Hazelzet
    Citation: BMC Medical Informatics and Decision Making 2016 16:102
  44. Despite international initiatives like Orphanet, it remains difficult to find up-to-date information about rare diseases. The aim of this study is to propose an exhaustive set of queries for PubMed based on te...

    Authors: N. Griffon, M. Schuers, F. Dhombres, T. Merabti, G. Kerdelhué, L. Rollin and S. J. Darmoni
    Citation: BMC Medical Informatics and Decision Making 2016 16:101
  45. A specific Electronic Health Record (EHR) for ophthalmology was introduced in an academic center in Germany. As diagnoses coding corresponding to the International Classification of Diseases Version 10 (ICD-10...

    Authors: Karsten Kortüm, Christoph Hirneiß, Michael Müller, Alexander Babenko, Anselm Kampik and Thomas C. Kreutzer
    Citation: BMC Medical Informatics and Decision Making 2016 16:100
  46. Healthcare researchers often use multiple healthcare survey instruments to examine a particular patient symptom. The use of multiple instruments can pose some interesting research questions, such as whether th...

    Authors: Yuncheol Kang, Melinda R. Steis, Ann M. Kolanowski, Donna Fick and Vittaldas V. Prabhu
    Citation: BMC Medical Informatics and Decision Making 2016 16:99
  47. Accurately assessing pain for those who cannot make self-report of pain, such as minimally responsive or severely brain-injured patients, is challenging. In this paper, we attempted to address this challenge b...

    Authors: Lei Yang, Shuang Wang, Xiaoqian Jiang, Samuel Cheng and Hyeon-Eui Kim
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 3):73

    This article is part of a Supplement: Volume 16 Supplement 3

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