当前位置： SCI文献检索 > BMC Medical Informatics and Decision Making期刊下所有文献 > Risk communication formats for low probability events: an exploratory study of patient preferences.

Risk communication formats for low probability events: an exploratory study of patient preferences.

Abstract：

BACKGROUND:Clear communication about the possible outcomes of proposed medical interventions is an integral part of medical care. Despite its importance, there have been few studies comparing different formats for presenting probabilistic information to patients, especially when small probabilities are involved. The purpose of this study was to explore the potential usefulness of several new small-risk graphic communication formats. METHODS:Information about the likelihoods of cancer and cancer prevention associated with two hypothetical cancer screening programs were used to create an augmented bar chart, an augmented grouped icon display, a flow chart, and three paired combinations of these formats. In the study scenario, the baseline risk of cancer was 53 per 1,000 (5.3%). The risk associated with cancer screening option A was 38 per 1,000 (3.8%) and the risk associated with screening option B was 29 per 1,000 (2.9%). Both the augmented bar chart and the augmented grouped icon display contained magnified views of the differences in cancer risk and cancer prevention associated with the screening programs. A convenience sample of 29 subjects (mean age 56.4 years; 76% men) used the Analytic Hierarchy Process (AHP) to indicate their relative preferences for the six formats using 15 sequential paired comparisons. RESULTS:The most preferred format was the combined augmented bar chart + flow diagram (mean preference score 0.43) followed by the combined augmented icon + augmented bar chart format (mean preference score 0.22). The overall differences among the six formats were statistically significant: Kruskal-Wallis Chi Square = 141.4, p < 0.0001. The three combined formats all had statistically significant higher preferences scores than the single format displays (p < 0.05). CONCLUSION:These findings suggest that patients may prefer combined, rather than single, graphic risk presentation formats and that augmented bar charts and icon displays may be useful for conveying comparative information about small risks to clinical decision makers. Further research to confirm and extend these findings is warranted.

journal_name

BMC Med Inform Decis Mak

journal_title

BMC medical informatics and decision making

authors

Dolan JG,Iadarola S

doi

10.1186/1472-6947-8-14

subject

Has Abstract

pub_date

2008-04-10 00:00:00

pages

14

issn

1472-6947

pii

1472-6947-8-14

journal_volume

8

pub_type

杂志文章

相关文献

BMC Medical Informatics and Decision Making文献大全
  • Requirements for guidelines systems: implementation challenges and lessons from existing software-engineering efforts.

    abstract：BACKGROUND:A large body of work in the clinical guidelines field has identified requirements for guideline systems, but there are formidable challenges in translating such requirements into production-quality systems that can be used in routine patient care. Detailed analysis of requirements from an implementation pers...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-12-16

    authors： Shah H,Allard RD,Enberg R,Krishnan G,Williams P,Nadkarni PM

    更新日期：2012-03-09 00:00:00

  • Non-redundant association rules between diseases and medications: an automated method for knowledge base construction.

    abstract：BACKGROUND:The widespread use of electronic health records (EHRs) has generated massive clinical data storage. Association rules mining is a feasible technique to convert this large amount of data into usable knowledge for clinical decision making, research or billing. We present a data driven method to create a knowle...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-015-0151-9

    authors： Séverac F,Sauleau EA,Meyer N,Lefèvre H,Nisand G,Jay N

    更新日期：2015-04-15 00:00:00

  • askMEDLINE: a free-text, natural language query tool for MEDLINE/PubMed.

    abstract：BACKGROUND:Plain language search tools for MEDLINE/PubMed are few. We wanted to develop a search tool that would allow anyone using a free-text, natural language query and without knowing specialized vocabularies that an expert searcher might use, to find relevant citations in MEDLINE/PubMed. This tool would translate ...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-5-5

    authors： Fontelo P,Liu F,Ackerman M

    更新日期：2005-03-10 00:00:00

  • Medicine in words and numbers: a cross-sectional survey comparing probability assessment scales.

    abstract：BACKGROUND:In the complex domain of medical decision making, reasoning under uncertainty can benefit from supporting tools. Automated decision support tools often build upon mathematical models, such as Bayesian networks. These networks require probabilities which often have to be assessed by experts in the domain of a...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-7-13

    authors： Witteman CL,Renooij S,Koele P

    更新日期：2007-06-11 00:00:00

  • A practical approach for incorporating dependence among fields in probabilistic record linkage.

    abstract：BACKGROUND:Methods for linking real-world healthcare data often use a latent class model, where the latent, or unknown, class is the true match status of candidate record-pairs. This commonly used model assumes that agreement patterns among multiple fields within a latent class are independent. When this assumption is ...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-13-97

    authors： Daggy JK,Xu H,Hui SL,Gamache RE,Grannis SJ

    更新日期：2013-08-30 00:00:00

  • The feasibility of collecting information from people with Multiple Sclerosis for the UK MS Register via a web portal: characterising a cohort of people with MS.

    abstract：BACKGROUND:A UK Register of people with Multiple Sclerosis has been developed to address the need for an increased knowledge-base about MS. The Register is being populated via: a web-based portal; NHS neurology clinical systems; and administrative data sources. The data are de-identified and linked at the individual le...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-12-73

    authors： Ford DV,Jones KH,Middleton RM,Lockhart-Jones H,Maramba ID,Noble GJ,Osborne LA,Lyons RA

    更新日期：2012-07-18 00:00:00

  • Recursive neural networks in hospital bed occupancy forecasting.

    abstract：BACKGROUND:Efficient planning of hospital bed usage is a necessary condition to minimize the hospital costs. In the presented work we deal with the problem of occupancy forecasting in the scale of several months, with a focus on personnel's holiday planning. METHODS:We construct a model based on a set of recursive neu...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-019-0776-1

    authors： Kutafina E,Bechtold I,Kabino K,Jonas SM

    更新日期：2019-03-07 00:00:00

  • Decision support at home (DS@HOME)--system architectures and requirements.

    abstract：BACKGROUND:Demographic change with its consequences of an aging society and an increase in the demand for care in the home environment has triggered intensive research activities in sensor devices and smart home technologies. While many advanced technologies are already available, there is still a lack of decision supp...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章,评审

    doi：10.1186/1472-6947-12-43

    authors： Marschollek M

    更新日期：2012-05-28 00:00:00

  • Recommended practices for computerized clinical decision support and knowledge management in community settings: a qualitative study.

    abstract：BACKGROUND:The purpose of this study was to identify recommended practices for computerized clinical decision support (CDS) development and implementation and for knowledge management (KM) processes in ambulatory clinics and community hospitals using commercial or locally developed systems in the U.S. METHODS:Guided b...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-12-6

    authors： Ash JS,Sittig DF,Guappone KP,Dykstra RH,Richardson J,Wright A,Carpenter J,McMullen C,Shapiro M,Bunce A,Middleton B

    更新日期：2012-02-14 00:00:00

  • Data cleaning process for HIV-indicator data extracted from DHIS2 national reporting system: a case study of Kenya.

    abstract：BACKGROUND:The District Health Information Software-2 (DHIS2) is widely used by countries for national-level aggregate reporting of health-data. To best leverage DHIS2 data for decision-making, countries need to ensure that data within their systems are of the highest quality. Comprehensive, systematic, and transparent...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-020-01315-7

    authors： Gesicho MB,Were MC,Babic A

    更新日期：2020-11-13 00:00:00

  • Web-based interactive mapping from data dictionaries to ontologies, with an application to cancer registry.

    abstract：BACKGROUND:The Kentucky Cancer Registry (KCR) is a central cancer registry for the state of Kentucky that receives data about incident cancer cases from all healthcare facilities in the state within 6 months of diagnosis. Similar to all other U.S. and Canadian cancer registries, KCR uses a data dictionary provided by t...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-020-01288-7

    authors： Tao S,Zeng N,Hands I,Hurt-Mueller J,Durbin EB,Cui L,Zhang GQ

    更新日期：2020-12-15 00:00:00

  • Brain mapping and detection of functional patterns in fMRI using wavelet transform; application in detection of dyslexia.

    abstract：BACKGROUND:Functional Magnetic Resonance Imaging (fMRI) has been proven to be useful for studying brain functions. However, due to the existence of noise and distortion, mapping between the fMRI signal and the actual neural activity is difficult. Because of the difficulty, differential pattern analysis of fMRI brain im...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-9-S1-S6

    authors： Ji SY,Ward K,Najarian K

    更新日期：2009-11-03 00:00:00

  • Algorithms for optimizing drug therapy.

    abstract：BACKGROUND:Drug therapy has become increasingly efficient, with more drugs available for treatment of an ever-growing number of conditions. Yet, drug use is reported to be sub optimal in several aspects, such as dosage, patient's adherence and outcome of therapy. The aim of the current study was to investigate the poss...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-4-10

    authors： Wanger P,Martin L

    更新日期：2004-07-20 00:00:00

  • Locating previously unknown patterns in data-mining results: a dual data- and knowledge-mining method.

    abstract：BACKGROUND:Data mining can be utilized to automate analysis of substantial amounts of data produced in many organizations. However, data mining produces large numbers of rules and patterns, many of which are not useful. Existing methods for pruning uninteresting patterns have only begun to automate the knowledge acquis...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-6-13

    authors： Siadaty MS,Knaus WA

    更新日期：2006-03-07 00:00:00

  • An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environments.

    abstract：BACKGROUND:The maturity and usage of wireless technology has influenced health services, and this has raised expectations from users that healthcare services will become more affordable due to technology growth. There is increasing evidence to justify this expectation, as telehealth is becoming more and more prevalent ...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-14-98

    authors： Gururajan R,Hafeez-Baig A

    更新日期：2014-12-23 00:00:00

  • Atrial fibrillation classification based on convolutional neural networks.

    abstract：BACKGROUND:The global age-adjusted mortality rate related to atrial fibrillation (AF) registered a rapid growth in the last four decades, i.e., from 0.8 to 1.6 and 0.9 to 1.7 per 100,000 for men and women during 1990-2010, respectively. In this context, this study uses convolutional neural networks for classifying (dia...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-019-0946-1

    authors： Lee KS,Jung S,Gil Y,Son HS

    更新日期：2019-10-29 00:00:00

  • An end-to-end hybrid algorithm for automated medication discrepancy detection.

    abstract：BACKGROUND:In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and built a computerized algorithm for medication reconciliation. Our specific aims are: (1) to develop a computerized algorithm for medication discrepancy detection between pa...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-015-0160-8

    authors： Li Q,Spooner SA,Kaiser M,Lingren N,Robbins J,Lingren T,Tang H,Solti I,Ni Y

    更新日期：2015-05-06 00:00:00

  • An adaptive term proximity based rocchio's model for clinical decision support retrieval.

    abstract：BACKGROUND:In order to better help doctors make decision in the clinical setting, research is necessary to connect electronic health record (EHR) with the biomedical literature. Pseudo Relevance Feedback (PRF) is a kind of classical query modification technique that has shown to be effective in many retrieval models an...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-019-0986-6

    authors： Pan M,Zhang Y,Zhu Q,Sun B,He T,Jiang X

    更新日期：2019-12-12 00:00:00

  • Identifying diagnosis evidence of cardiogenic stroke from Chinese echocardiograph reports.

    abstract：BACKGROUND:Cardiogenic stroke has increasing morbidity in China and brought economic burden to patient families. In cardiogenic stroke diagnosis, echocardiograph examination is one of the most important examinations. Sonographers will investigate patients' heart via echocardiograph, and describe them in the echocardiog...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-020-1106-3

    authors： Qin L,Xu X,Ding L,Li Z,Li J

    更新日期：2020-07-09 00:00:00

  • Visibility of medical informatics regarding bibliometric indices and databases.

    abstract：BACKGROUND:The quantitative study of the publication output (bibliometrics) deeply influences how scientific work is perceived (bibliometric visibility). Recently, new bibliometric indices and databases have been established, which may change the visibility of disciplines, institutions and individuals. This study exami...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-11-24

    authors： Spreckelsen C,Deserno TM,Spitzer K

    更新日期：2011-04-15 00:00:00

  • Surface structure feature matching algorithm for cardiac motion estimation.

    abstract：BACKGROUND:Cardiac diseases represent the leading cause of sudden death worldwide. During the development of cardiac diseases, the left ventricle (LV) changes obviously in structure and function. LV motion estimation plays an important role for diagnosis and treatment of cardiac diseases. To estimate LV motion accurate...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-017-0560-z

    authors： Zhang Z,Yang X,Tan C,Guo W,Chen G

    更新日期：2017-12-20 00:00:00

  • Mining and visualizing high-order directional drug interaction effects using the FAERS database.

    abstract：BACKGROUND:Adverse drug events (ADEs) often occur as a result of drug-drug interactions (DDIs). The use of data mining for detecting effects of drug combinations on ADE has attracted growing attention and interest, however, most studies focused on analyzing pairwise DDIs. Recent efforts have been made to explore the di...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-020-1053-z

    authors： Yao X,Tsang T,Sun Q,Quinney S,Zhang P,Ning X,Li L,Shen L

    更新日期：2020-03-18 00:00:00

  • A tool for sharing annotated research data: the "Category 0" UMLS (Unified Medical Language System) vocabularies.

    abstract：BACKGROUND:Large biomedical data sets have become increasingly important resources for medical researchers. Modern biomedical data sets are annotated with standard terms to describe the data and to support data linking between databases. The largest curated listing of biomedical terms is the the National Library of Med...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-3-6

    authors： Berman JJ

    更新日期：2003-06-16 00:00:00

  • Correction to: The International Conference on Intelligent Biology and Medicine 2019: computational methods for drug interactions.

    abstract：:After publication of this supplement article [1], it is requested the grant ID in the Funding section should be corrected from NSF grant IIS-7811367 to NSF grant IIS-1902617. ...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章,已发布勘误

    doi：10.1186/s12911-020-1096-1

    authors： Ning X,Zhang C,Wang K,Zhao Z,Mathé E

    更新日期：2020-04-28 00:00:00

  • Assessing accuracy of an electronic provincial medication repository.

    abstract：BACKGROUND:Jurisdictional drug information systems are being implemented in many regions around the world. British Columbia, Canada has had a provincial medication dispensing record, PharmaNet, system since 1995. Little is known about how accurately PharmaNet reflects actual medication usage. METHODS:This prospective,...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章,多中心研究

    doi：10.1186/1472-6947-12-42

    authors： Price M,Bowen M,Lau F,Kitson N,Bardal S

    更新日期：2012-05-23 00:00:00

  • Data-driven approach for creating synthetic electronic medical records.

    abstract：BACKGROUND:New algorithms for disease outbreak detection are being developed to take advantage of full electronic medical records (EMRs) that contain a wealth of patient information. However, due to privacy concerns, even anonymized EMRs cannot be shared among researchers, resulting in great difficulty in comparing the...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/1472-6947-10-59

    authors： Buczak AL,Babin S,Moniz L

    更新日期：2010-10-14 00:00:00

  • Sharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferences.

    abstract：BACKGROUND:Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and rich and deep datasets. Data sharing benefits include more analyses, greater research complexity, i...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-018-0683-x

    authors： Manhas KP,Dodd SX,Page S,Letourneau N,Adair CE,Cui X,Tough SC

    更新日期：2018-11-12 00:00:00

  • Methods for identifying 30 chronic conditions: application to administrative data.

    abstract：BACKGROUND:Multimorbidity is common and associated with poor clinical outcomes and high health care costs. Administrative data are a promising tool for studying the epidemiology of multimorbidity. Our goal was to derive and apply a new scheme for using administrative data to identify the presence of chronic conditions ...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-015-0155-5

    authors： Tonelli M,Wiebe N,Fortin M,Guthrie B,Hemmelgarn BR,James MT,Klarenbach SW,Lewanczuk R,Manns BJ,Ronksley P,Sargious P,Straus S,Quan H,Alberta Kidney Disease Network.

    更新日期：2015-04-17 00:00:00

  • Perception of healthcare workers on mobile app-based clinical guideline for the detection and treatment of mental health problems in primary care: a qualitative study in Nepal.

    abstract：BACKGROUND:In recent years, a significant change has taken place in the health care delivery systems due to the availability of smartphones and mobile software applications. The use of mobile technology can help to reduce a number of barriers for mental health care such as providers' workload, lack of qualified personn...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-021-01386-0

    authors： Pokhrel P,Karmacharya R,Taylor Salisbury T,Carswell K,Kohrt BA,Jordans MJD,Lempp H,Thornicroft G,Luitel NP

    更新日期：2021-01-19 00:00:00

  • Legal assessment tool (LAT): an interactive tool to address privacy and data protection issues for data sharing.

    abstract：BACKGROUND:In an unprecedented rate data in the life sciences is generated and stored in many different databases. An ever increasing part of this data is human health data and therefore falls under data protected by legal regulations. As part of the BioMedBridges project, which created infrastructures that connect mor...

    journal_title：BMC medical informatics and decision making

    pub_type： 杂志文章

    doi：10.1186/s12911-016-0325-0

    authors： Kuchinke W,Krauth C,Bergmann R,Karakoyun T,Woollard A,Schluender I,Braasch B,Eckert M,Ohmann C

    更新日期：2016-07-07 00:00:00