collection
https://read.qxmd.com/read/26032950/calculating-the-probability-of-random-sampling-for-continuous-variables-in-submitted-or-published-randomised-controlled-trials
#21
JOURNAL ARTICLE
J B Carlisle, F Dexter, J J Pandit, S L Shafer, S M Yentis
In a previous paper, one of the authors (JBC) used a chi-squared method to analyse the means (SD) of baseline variables, such as height or weight, from randomised controlled trials by Fujii et al., concluding that the probabilities that the reported distributions arose by chance were infinitesimally small. Subsequent testing of that chi-squared method, using simulation, suggested that the method was incorrect. This paper corrects the chi-squared method and tests its performance and the performance of Monte Carlo simulations and ANOVA to analyse the probability of random sampling...
July 2015: Anaesthesia
https://read.qxmd.com/read/25984416/the-gap-in-big-data-getting-to-wellbeing-strengths-and-a-whole-person-perspective
#22
JOURNAL ARTICLE
Karen A Monsen, Judith Peters, Sara Schlesner, Catherine E Vanderboom, Diane E Holland
BACKGROUND: Electronic health records (EHRs) provide a clinical view of patient health. EHR data are becoming available in large data sets and enabling research that will transform the landscape of healthcare research. Methods are needed to incorporate wellbeing dimensions and strengths in large data sets. The purpose of this study was to examine the potential alignment of the Wellbeing Model with a clinical interface terminology standard, the Omaha System, for documenting wellbeing assessments...
May 2015: Global Advances in Health and Medicine: Improving Healthcare Outcomes Worldwide
https://read.qxmd.com/read/25978419/personalized-mortality-prediction-driven-by-electronic-medical-data-and-a-patient-similarity-metric
#23
JOURNAL ARTICLE
Joon Lee, David M Maslove, Joel A Dubin
BACKGROUND: Clinical outcome prediction normally employs static, one-size-fits-all models that perform well for the average patient but are sub-optimal for individual patients with unique characteristics. In the era of digital healthcare, it is feasible to dynamically personalize decision support by identifying and analyzing similar past patients, in a way that is analogous to personalized product recommendation in e-commerce. Our objectives were: 1) to prove that analyzing only similar patients leads to better outcome prediction performance than analyzing all available patients, and 2) to characterize the trade-off between training data size and the degree of similarity between the training data and the index patient for whom prediction is to be made...
2015: PloS One
https://read.qxmd.com/read/25951622/using-big-data-to-capture-overall-health-status-properties-and-predictive-value-of-a-claims-based-health-risk-score
#24
JOURNAL ARTICLE
Rita Hamad, Sepideh Modrek, Jessica Kubo, Benjamin A Goldstein, Mark R Cullen
BACKGROUND: Investigators across many fields often struggle with how best to capture an individual's overall health status, with options including both subjective and objective measures. With the increasing availability of "big data," researchers can now take advantage of novel metrics of health status. These predictive algorithms were initially developed to forecast and manage expenditures, yet they represent an underutilized tool that could contribute significantly to health research...
2015: PloS One
https://read.qxmd.com/read/25955981/propensity-score-matched-comparison-of-postoperative-adverse-outcomes-between-geriatric-patients-given-a-general-or-a-neuraxial-anesthetic-for-hip-surgery-a-population-based-study
#25
COMPARATIVE STUDY
Chin-Chen Chu, Shih-Feng Weng, Kuan-Ting Chen, Chih-Chiang Chien, Ja-Ping Shieh, Jen-Yin Chen, Jhi-Joung Wang
BACKGROUND: The effects of the mode of anesthesia on major adverse postoperative outcomes in geriatric patients are still inconclusive. The authors hypothesized that a neuraxial anesthetic (NA) rather than a general anesthetic (GA) would yield better in-hospital postoperative outcomes for geriatric patients undergoing hip surgery. METHODS: The authors used data from Taiwan's 1997-2011 in-patient claims database to evaluate the effect of anesthesia on in-hospital outcomes...
July 2015: Anesthesiology
https://read.qxmd.com/read/25929547/intraoperative-mean-arterial-pressure-variability-and-30-day-mortality-in-patients-having-noncardiac-surgery
#26
JOURNAL ARTICLE
Edward J Mascha, Dongsheng Yang, Stephanie Weiss, Daniel I Sessler
BACKGROUND: Little is known about the relationship between intraoperative blood pressure variability and mortality after noncardiac surgery. Therefore, the authors tested the hypothesis that blood pressure variability, independent from absolute blood pressure, is associated with increased 30-day mortality. METHODS: Baseline and intraoperative variables plus 30-day mortality were obtained for 104,401 adults having noncardiac surgery lasting 60 min or longer. In confounder-adjusted models, the authors evaluated the associations between 30-day mortality and both time-weighted average intraoperative mean arterial pressure (TWA-MAP) and measures of intraoperative MAP variability--including generalized average real variability of MAP (ARV-MAP) and SD of MAP (SD-MAP)...
July 2015: Anesthesiology
https://read.qxmd.com/read/25922699/accessing-critical-care-big-data-a-step-by-step-approach
#27
JOURNAL ARTICLE
Zhongheng Zhang
No abstract text is available yet for this article.
March 2015: Journal of Thoracic Disease
https://read.qxmd.com/read/25898187/a-vision-and-a-prescription-for-big-data-enabled-medicine
#28
JOURNAL ARTICLE
Damien Chaussabel, Bali Pulendran
No abstract text is available yet for this article.
May 2015: Nature Immunology
https://read.qxmd.com/read/25784685/building-evidence-in-health-informatics
#29
EDITORIAL
Gregory L Alexander
No abstract text is available yet for this article.
July 2015: Western Journal of Nursing Research
https://read.qxmd.com/read/25787904/public-policy-response-aging-in-place-and-big-data-platforms-creating-an-effective-collaborative-system-to-cope-with-aging-of-the-population
#30
JOURNAL ARTICLE
Peipei Song, Yu Chen
The unprecedented rapid aging of the population is poised to become the next global public health challenge, as is apparent by the fact that 23.1% of the total global burden of disease is attributable to disorders in people aged 60 years and older. Aging of the population is the biggest driver of substantial increases in the prevalence of chronic conditions, and the prevalence of multi-morbidity is much higher in older age groups. This places a large burden on countries' health and long-term care systems. Many behavioral changes and public policy responses to aging of the population have been implemented to cope with these challenges...
February 2015: Bioscience Trends
https://read.qxmd.com/read/25788325/evaluation-of-a-two-stage-framework-for-prediction-using-big-genomic-data
#31
JOURNAL ARTICLE
Xia Jiang, Richard E Neapolitan
We are in the era of abundant 'big' or 'high-dimensional' data. These data afford us the opportunity to discover predictors of an event of interest, and to estimate occurrence of the event based on values of these predictors. For example, 'genome-wide association studies' examine millions of single-nucleotide polymorphisms (SNPs), along with disease status. We can learn SNPs that affect disease status from these data sets, and use the knowledge learned to predict disease likelihood. Owing to the large number of features, it is difficult for many prediction methods to use all the features directly...
November 2015: Briefings in Bioinformatics
https://read.qxmd.com/read/25793337/mining-for-answers-from-big-data
#32
JOURNAL ARTICLE
Chris Hayhurst
No abstract text is available yet for this article.
March 2015: Biomedical Instrumentation & Technology
https://read.qxmd.com/read/25773546/potential-application-of-machine-learning-in-health-outcomes-research-and-some-statistical-cautions
#33
REVIEW
William H Crown
Traditional analytic methods are often ill-suited to the evolving world of health care big data characterized by massive volume, complexity, and velocity. In particular, methods are needed that can estimate models efficiently using very large datasets containing healthcare utilization data, clinical data, data from personal devices, and many other sources. Although very large, such datasets can also be quite sparse (e.g., device data may only be available for a small subset of individuals), which creates problems for traditional regression models...
March 2015: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://read.qxmd.com/read/25785640/big-data-miniregistries-a-rapid-turnaround-solution-to-get-quality-improvement-data-into-the-hands-of-medical-specialists
#34
JOURNAL ARTICLE
Lisa J Herrinton, Liyan Liu, Andrea Altschuler, Richard Dell, Violeta Rabrenovich, Amy L Compton-Phillips
The cost to build and to maintain traditional registries for many dire, complex, low-frequency conditions is prohibitive. The authors used accessible technology to develop a platform that would generate miniregistries (small, routinely updated datasets) for surveillance, to identify patients who were missing elected utilization and to influence clinicians to change practices to improve care. The platform, tested in 5 medical specialty departments, enabled the specialists to rapidly and effectively communicate clinical questions, knowledge of disease, clinical workflows, and improve opportunities...
2015: Permanente Journal
https://read.qxmd.com/read/25765963/a-health-record-integrated-clinical-decision-support-system-to-support-prescriptions-of-pharmaceutical-drugs-in-patients-with-reduced-renal-function-design-development-and-proof-of-concept
#35
JOURNAL ARTICLE
Tero Shemeikka, Pia Bastholm-Rahmner, Carl-Gustaf Elinder, Anikó Vég, Elisabeth Törnqvist, Birgitta Cornelius, Seher Korkmaz
OBJECTIVES: To develop and verify proof of concept for a clinical decision support system (CDSS) to support prescriptions of pharmaceutical drugs in patients with reduced renal function, integrated in an electronic health record system (EHR) used in both hospitals and primary care. METHODS: A pilot study in one geriatric clinic, one internal medicine admission ward and two outpatient healthcare centers was evaluated with a questionnaire focusing on the usefulness of the CDSS...
June 2015: International Journal of Medical Informatics
https://read.qxmd.com/read/25705552/big-data-analysis-framework-for-healthcare-and-social-sectors-in-korea
#36
REVIEW
Tae-Min Song, Seewon Ryu
OBJECTIVES: We reviewed applications of big data analysis of healthcare and social services in developed countries, and subsequently devised a framework for such an analysis in Korea. METHODS: We reviewed the status of implementing big data analysis of health care and social services in developed countries, and strategies used by the Ministry of Health and Welfare of Korea (Government 3.0). We formulated a conceptual framework of big data in the healthcare and social service sectors at the national level...
January 2015: Healthcare Informatics Research
https://read.qxmd.com/read/25732499/despite-the-spread-of-health-information-exchange-there-is-little-evidence-of-its-impact-on-cost-use-and-quality-of-care
#37
REVIEW
Saurabh Rahurkar, Joshua R Vest, Nir Menachemi
Health information exchange (HIE), which is the transfer of electronic information such as laboratory results, clinical summaries, and medication lists, is believed to boost efficiency, reduce health care costs, and improve outcomes for patients. Stimulated by federal financial incentives, about two-thirds of hospitals and almost half of physician practices are now engaged in some type of HIE with outside organizations. To determine how HIE has affected such health care measures as cost, service use, and quality, we identified twenty-seven scientific studies, extracted selected characteristics from each, and meta-analyzed these characteristics for trends...
March 2015: Health Affairs
https://read.qxmd.com/read/25756221/commentary-epidemiology-in-the-era-of-big-data
#38
JOURNAL ARTICLE
Stephen J Mooney, Daniel J Westreich, Abdulrahman M El-Sayed
Big Data has increasingly been promoted as a revolutionary development in the future of science, including epidemiology. However, the definition and implications of Big Data for epidemiology remain unclear. We here provide a working definition of Big Data predicated on the so-called "three V's": variety, volume, and velocity. From this definition, we argue that Big Data has evolutionary and revolutionary implications for identifying and intervening on the determinants of population health. We suggest that as more sources of diverse data become publicly available, the ability to combine and refine these data to yield valid answers to epidemiologic questions will be invaluable...
May 2015: Epidemiology
https://read.qxmd.com/read/25726568/technology-mediated-interventions-for-enhancing-medication-adherence
#39
REVIEW
Niraj Mistry, Arun Keepanasseril, Nancy L Wilczynski, Robby Nieuwlaat, Manthan Ravall, R Brian Haynes
BACKGROUND: Despite effective therapies for many conditions, patients find it difficult to adhere to prescribed treatments. Technology-mediated interventions (TMIs) are increasingly being used with the hope of improving adherence. OBJECTIVE: To assess the effects of TMI, intended to enhance patient adherence to prescribed medications, on both medication adherence and clinical outcomes. METHODS: A secondary in-depth analysis was conducted of the subset of studies that utilized technology in at least one component of the intervention from an updated Cochrane review on all interventions for enhancing medication adherence...
April 2015: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/25736867/childhood-adversities-and-adult-onset-chronic-pain-results-from-the-world-mental-health-survey-japan
#40
JOURNAL ARTICLE
A Stickley, A Koyanagi, N Kawakami
BACKGROUND: Childhood adversities (CAs) have been associated with adult-onset chronic pain. However, to date, most single country studies on this association have been undertaken in Western countries. This study examined the association in Japan where information is scarce. METHODS: Data were drawn from the World Mental Health Survey Japan, a population-based cross-sectional survey undertaken in 11 areas of Japan in 2002-2006. We analyzed data from adults aged ≥20 years who provided information on CAs occurring before age 18 years and chronic pain (n = 1740)...
November 2015: European Journal of Pain: EJP
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