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BMC Medical Informatics and Decision Making

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https://www.readbyqxmd.com/read/27931219/influences-on-teleconsultation-project-utilization-rates-the-role-of-dominant-logic
#1
David L Paul, Reuben R McDaniel
BACKGROUND: This research analyzes teleconsultation from both a mechanistic and complex adaptive system (CAS) dominant logic in order to further understand the influence of dominant logic on utilization rates of teleconsultation projects. In both dominant logics, the objective of teleconsultation projects is to increase access to and quality of healthcare delivery in a cost efficient manner. A mechanistic dominant logic perceives teleconsultation as closely resembling the traditional service delivery model, while a CAS dominant logic focuses on the system's emergent behavior of learning resulting from the relationships and interactions of participating healthcare providers...
December 8, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27919250/the-impact-of-health-information-technologies-on-quality-improvement-methodologies-efficiency-throughput-and-financial-outcomes-a-retrospective-observational-study
#2
Raed H AlHazme, Syed S Haque, Hal Wiggin, Arif M Rana
BACKGROUND: To evaluate whether or not the utilization of Health Information Technologies (HITs) in Quality Improvement Methodologies (QIMs) has impacts on QIMs' efficiency, throughput and financial outcomes at healthcare organizations and physician practices in the United States. METHODS: This is a retrospective observational study that was conducted between the years of 2014 and 2015 and relied on two data sources: the Dorenfest Institute dataset and the Healthcare Information and Management Systems Society (HIMSS) Analytics data source...
December 5, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27905926/understanding-clinical-and-non-clinical-decisions-under-uncertainty-a-scenario-based-survey
#3
Vlad V Simianu, Margaret A Grounds, Susan L Joslyn, Jared E LeClerc, Anne P Ehlers, Nidhi Agrawal, Rafael Alfonso-Cristancho, Abraham D Flaxman, David R Flum
BACKGROUND: Prospect theory suggests that when faced with an uncertain outcome, people display loss aversion by preferring to risk a greater loss rather than incurring certain, lesser cost. Providing probability information improves decision making towards the economically optimal choice in these situations. Clinicians frequently make decisions when the outcome is uncertain, and loss aversion may influence choices. This study explores the extent to which prospect theory, loss aversion, and probability information in a non-clinical domain explains clinical decision making under uncertainty...
December 1, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27899103/time-to-event-versus-ten-year-absolute-risk-in-cardiovascular-risk-prevention-does-it-make-a-difference-results-from-the-optimizing-risk-communication-optrisk-randomized-controlled-trial
#4
Charles Christian Adarkwah, Nikita Jegan, Monika Heinzel-Gutenbrunner, Felicitas Kühne, Uwe Siebert, Uwe Popert, Norbert Donner-Banzhoff, Sarah Kürwitz
BACKGROUND: The concept of shared-decision-making is a well-established approach to increase the participation of patients in medical decisions. Using lifetime risk or time-to-event (TTE) formats has been increasingly suggested as they might have advantages, e.g. in younger patients, to better show consequences of unhealthy behaviour. In this study, the most-popular ten-year risk illustration in the decision-aid-software arriba(TM) (emoticons), is compared within a randomised trial to a new-developed TTE illustration, which is based on a Markov model...
November 29, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27888834/exploring-the-impact-of-word-of-mouth-about-physicians-service-quality-on-patient-choice-based-on-online-health-communities
#5
Naiji Lu, Hong Wu
BACKGROUND: Health care service is a high-credence service and patients may face difficulties ascertaining service quality in order to make choices about their available treatment options. Online health communities (OHCs) provide a convenient channel for patients to search for physicians' information, such as Word-of-Mouth (WOM), particularly on physicians' service quality evaluated by other patients. Existing studies from other service domains have proved that WOM impacts consumer choice...
November 26, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27887610/integral-strategy-to-supportive-care-in-breast-cancer-survivors-through-occupational-therapy-and-a-m-health-system-design-of-a-randomized-clinical-trial
#6
Mario Lozano-Lozano, Lydia Martín-Martín, Noelia Galiano-Castillo, Francisco Álvarez-Salvago, Irene Cantarero-Villanueva, Carolina Fernández-Lao, Carmen Sánchez-Salado, Manuel Arroyo-Morales
BACKGROUND: Technological support using e-health mobile applications (m-health) is a promising strategy to improve the adherence to healthy lifestyles in breast cancer survivors (excess in energy intake or low physical activity are determinants of the risk of recurrence, second cancers and cancer mortality). Moreover, cancer rehabilitation programs supervised by health professionals are needed due to the inherent characteristics of these breast cancer patients. Our main objective is to compare the clinical efficacy of a m-health lifestyle intervention system alone versus an integral strategy to improve Quality of Life in breast cancer survivors...
November 25, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27884182/operations-research-for-resource-planning-and-use-in-radiotherapy-a-literature-review
#7
Bruno Vieira, Erwin W Hans, Corine van Vliet-Vroegindeweij, Jeroen van de Kamer, Wim van Harten
BACKGROUND: The delivery of radiotherapy (RT) involves the use of rather expensive resources and multi-disciplinary staff. As the number of cancer patients receiving RT increases, timely delivery becomes increasingly difficult due to the complexities related to, among others, variable patient inflow, complex patient routing, and the joint planning of multiple resources. Operations research (OR) methods have been successfully applied to solve many logistics problems through the development of advanced analytical models for improved decision making...
November 25, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27881130/electronic-reminders-to-facilitate-longitudinal-care-a-mixed-methods-study-in-general-practices
#8
Christine Kersting, Birgitta Weltermann
BACKGROUND: Longitudinal, patient-centered care represents a challenge for general practitioners (GPs), and in this context, reminder systems can offer targeted support. This study aimed to identify details of such reminders: (1) contents of care addressed, (2) their mode of display in the electronic health record (EHR), (3) their visual appearance, (4) personnel responsibilities for editing and applying reminders, and (5) use of reminders for patient recall. METHODS: This mixed-methods study comprised (1) a cross-sectional survey among 185 GP practices from a German university network, and (2) structured observations of reminder utilization in six practices based on a clinical vignette describing a multimorbid senior with 26 care needs...
November 24, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27871271/assessing-the-acceptability-and-feasibility-of-encounter-decision-aids-for-early-stage-breast-cancer-targeted-at-underserved-patients
#9
Shama Alam, Glyn Elwyn, Sanja Percac-Lima, Stuart Grande, Marie-Anne Durand
BACKGROUND: 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. Evidence suggests that well-designed encounter decision aids (DAs) could improve outcomes and potentially reduce healthcare disparities. Our goal was to evaluate the acceptability and feasibility of encounter decision aids (Option Grid, Comic Option Grid, and Picture Option Grid) adapted for a low-SES and low-literacy population...
November 21, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27855685/understanding-the-barriers-to-successful-adoption-and-use-of-a-mobile-health-information-system-in-a-community-health-center-in-s%C3%A3-o-paulo-brazil-a-cohort-study
#10
Jayant V Rajan, Juliana Moura, Gato Gourley, Karina Kiso, Alexandre Sizilio, Ana Maria Cortez, Lee W Riley, Maria Amelia Veras, Urmimala Sarkar
BACKGROUND: Mobile technology to support community health has surged in popularity, yet few studies have systematically examined usability of mobile platforms for this setting. METHODS: We conducted a mixed-methods study of 14 community healthcare workers at a public healthcare clinic in São Paulo, Brazil. We held focus groups with community healthcare workers to elicit their ideas about a mobile health application and used this input to build a prototype app. A pre-use test survey was administered to all participants, who subsequently use-tested the app on three different devices (iPhone, iPad mini, iPad Air)...
November 17, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27846827/nurses-perceptions-acceptance-and-use-of-a-novel-in-room-pediatric-icu-technology-testing-an-expanded-technology-acceptance-model
#11
Richard J Holden, Onur Asan, Erica M Wozniak, Kathryn E Flynn, Matthew C Scanlon
BACKGROUND: 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, acceptance, and use of a novel health IT, the Large Customizable Interactive Monitor. METHODS: An expanded technology acceptance model was tested by applying stepwise linear regression to data from a standardized survey of 167 nurses. RESULTS: Nurses reported low-moderate ratings of the novel IT's ease of use and low to very low ratings of usefulness, social influence, and training...
November 15, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27842539/a-randomized-wait-list-control-trial-to-evaluate-the-impact-of-a-mobile-application-to-improve-self-management-of-individuals-with-type-2-diabetes-a-study-protocol
#12
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, R Sacha Bhatia
BACKGROUND: 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 supporting role. Well-designed e-Health solutions targeting behavior change can improve a range of measures, including glycemic control, perceived health, and a reduction in hospitalizations. METHODS: The primary objective of this study is to evaluate if a mobile application designed to improve self-management among patients with type 2 diabetes (T2DM) improves glycemic control compared to usual care...
November 15, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27829453/measuring-the-operational-impact-of-digitized-hospital-records-a-mixed-methods-study
#13
Philip J Scott, Paul J Curley, Paul B Williams, Ian P Linehan, Steven H Shaha
BACKGROUND: 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 on productivity. METHODS: Data were collected during follow-up outpatient consultations in two NHS hospitals by non-clinical observers using a work sampling approach in which pre-defined categories of clinician time usage were specified. Quantitative data was analysed using two-way ANOVA models and the Mann-Whitney U test...
November 10, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27829413/feasibility-of-digital-footprint-data-for-health-analytics-and-services-an-explorative-pilot-study
#14
Marja Harjumaa, Saila Saraniemi, Saara Pekkarinen, Minna Lappi, Heidi Similä, Minna Isomursu
BACKGROUND: 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 digital footprint. The purpose of this study was to identify prerequisites for collecting and using digital data that could be valuable for health data analytics and new health services. METHODS: Researchers and their contacts involved in a nationwide research project focusing on digital health in Finland were asked to participate in a pilot study on collecting their own personal data from various organizations of their own choice, such as retail chains, banks, insurance companies, and healthcare providers...
November 9, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27825340/patient-and-provider-acceptance-of-telecoaching-in-type-2-diabetes-a-mixed-method-study-embedded-in-a-randomised-clinical-trial
#15
I Odnoletkova, H Buysse, F Nobels, G Goderis, B Aertgeerts, L Annemans, D Ramaekers
BACKGROUND: 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, however many people with type 2 diabetes do not have access to or do not participate in self-management support programmes. Tele-education and telecoaching have the potential to improve accessibility and efficiency of care, but there is a slow uptake in Europe. Patient and provider acceptance in a local context is an important pre-condition for implementation...
November 9, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27825333/data-extraction-from-electronic-health-records-ehrs-for-quality-measurement-of-the-physical-therapy-process-comparison-between-ehr-data-and-survey-data
#16
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, Jozé Braspenning
BACKGROUND: 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 respect to data quality, data availability and comparability. The objective of this study is to test whether data extracted from electronic health records (EHRs) was of comparable quality as survey data for the calculation of quality indicators. METHODS: Data from surveys describing patient cases and filled out by physiotherapists in 2009-2010 were used to calculate scores on eight quality indicators (QIs) to measure the quality of physiotherapy care...
November 8, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27821128/electronic-screening-for-lifestyle-issues-and-mental-health-in-youth-a-community-based-participatory-research-approach
#17
Felicity Goodyear-Smith, Arden Corter, Hannah Suh
BACKGROUND: 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 clinic catering for disadvantaged youth, assess its acceptability and utility, and develop a framework to scale-up its implementation. METHODS: We used a community-based participatory research approach to implement YouthCHAT in a rural clinic in New Zealand...
November 8, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27809908/cognitive-biases-associated-with-medical-decisions-a-systematic-review
#18
Gustavo Saposnik, Donald Redelmeier, Christian C Ruff, Philippe N Tobler
BACKGROUND: 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 systematic review with four objectives: 1) to identify the most common cognitive biases, 2) to evaluate the influence of cognitive biases on diagnostic accuracy or management errors, 3) to determine their impact on patient outcomes, and 4) to identify literature gaps...
November 3, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27770769/open-data-models-for-smart-health-interconnected-applications-the-example-of-openehr
#19
Hans Demski, Sebastian Garde, Claudia Hildebrand
BACKGROUND: 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 for providing interoperable data services that support the development of innovative Smart Health applications profiting from data fusion and sharing. METHODS: This article describes a model-driven engineering approach based on standardized clinical information models and explores its application for the development of interoperable electronic health record systems...
October 22, 2016: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/27769228/quantifying-the-effect-of-complications-on-patient-flow-costs-and-surgical-throughputs
#20
Ahmed Almashrafi, Laura Vanderbloemen
BACKGROUND: 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, there is paucity of studies on the use of simulation in understanding the effect of complications on care processes and resources. In hospitals with scarcity of resources, postoperative complications can exert a substantial influence on hospital throughputs. METHODS: This paper describes an evaluation method for assessing the effect of complications on patient flow within a cardiac surgical department...
October 21, 2016: BMC Medical Informatics and Decision Making
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