IPCS Risk Assessment Terminology
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Descriptive Statistics (Part 2): Interpreting Study Results
Statistical Notes II Descriptive statistics (Part 2): Interpreting study results A Cook and A Sheikh he previous paper in this series looked at ‘baseline’. Investigations of treatment effects can be descriptive statistics, showing how to use and made in similar fashion by comparisons of disease T interpret fundamental measures such as the probability in treated and untreated patients. mean and standard deviation. Here we continue with descriptive statistics, looking at measures more The relative risk (RR), also sometimes known as specific to medical research. We start by defining the risk ratio, compares the risk of exposed and risk and odds, the two basic measures of disease unexposed subjects, while the odds ratio (OR) probability. Then we show how the effect of a disease compares odds. A relative risk or odds ratio greater risk factor, or a treatment, can be measured using the than one indicates an exposure to be harmful, while relative risk or the odds ratio. Finally we discuss the a value less than one indicates a protective effect. ‘number needed to treat’, a measure derived from the RR = 1.2 means exposed people are 20% more likely relative risk, which has gained popularity because of to be diseased, RR = 1.4 means 40% more likely. its clinical usefulness. Examples from the literature OR = 1.2 means that the odds of disease is 20% higher are used to illustrate important concepts. in exposed people. RISK AND ODDS Among workers at factory two (‘exposed’ workers) The probability of an individual becoming diseased the risk is 13 / 116 = 0.11, compared to an ‘unexposed’ is the risk. -
Administering Unidata on UNIX Platforms
C:\Program Files\Adobe\FrameMaker8\UniData 7.2\7.2rebranded\ADMINUNIX\ADMINUNIXTITLE.fm March 5, 2010 1:34 pm Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta UniData Administering UniData on UNIX Platforms UDT-720-ADMU-1 C:\Program Files\Adobe\FrameMaker8\UniData 7.2\7.2rebranded\ADMINUNIX\ADMINUNIXTITLE.fm March 5, 2010 1:34 pm Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Notices Edition Publication date: July, 2008 Book number: UDT-720-ADMU-1 Product version: UniData 7.2 Copyright © Rocket Software, Inc. 1988-2010. All Rights Reserved. Trademarks The following trademarks appear in this publication: Trademark Trademark Owner Rocket Software™ Rocket Software, Inc. Dynamic Connect® Rocket Software, Inc. RedBack® Rocket Software, Inc. SystemBuilder™ Rocket Software, Inc. UniData® Rocket Software, Inc. UniVerse™ Rocket Software, Inc. U2™ Rocket Software, Inc. U2.NET™ Rocket Software, Inc. U2 Web Development Environment™ Rocket Software, Inc. wIntegrate® Rocket Software, Inc. Microsoft® .NET Microsoft Corporation Microsoft® Office Excel®, Outlook®, Word Microsoft Corporation Windows® Microsoft Corporation Windows® 7 Microsoft Corporation Windows Vista® Microsoft Corporation Java™ and all Java-based trademarks and logos Sun Microsystems, Inc. UNIX® X/Open Company Limited ii SB/XA Getting Started The above trademarks are property of the specified companies in the United States, other countries, or both. All other products or services mentioned in this document may be covered by the trademarks, service marks, or product names as designated by the companies who own or market them. License agreement This software and the associated documentation are proprietary and confidential to Rocket Software, Inc., are furnished under license, and may be used and copied only in accordance with the terms of such license and with the inclusion of the copyright notice. -
Risk Factors Associated with Maternal Age and Other Parameters in Assisted Reproductive Technologies - a Brief Review
Available online at www.pelagiaresearchlibrary.com Pelagia Research Library Advances in Applied Science Research, 2017, 8(2):15-19 ISSN : 0976-8610 CODEN (USA): AASRFC Risk Factors Associated with Maternal Age and Other Parameters in Assisted Reproductive Technologies - A Brief Review Shanza Ghafoor* and Nadia Zeeshan Department of Biochemistry and Biotechnology, University of Gujrat, Hafiz Hayat Campus, Gujrat, Punjab, Pakistan ABSTRACT Assisted reproductive technology is advancing at fast pace. Increased use of ART (Assisted reproductive technology) is due to changing living standards which involve increased educational and career demand, higher rate of infertility due to poor lifestyle and child conceivement after second marriage. This study gives an overview that how advancing age affects maternal and neonatal outcomes in ART (Assisted reproductive technology). Also it illustrates how other factor like obesity and twin pregnancies complicates the scenario. The studies find an increased rate of preterm birth .gestational hypertension, cesarean delivery chances, high density plasma, Preeclampsia and fetal death at advanced age. The study also shows the combinatorial effects of mother age with number of embryos along with number of good quality embryos which are transferred in ART (Assisted reproductive technology). In advanced age women high clinical and multiple pregnancy rate is achieved by increasing the number along with quality of embryos. Keywords: Reproductive techniques, Fertility, Lifestyle, Preterm delivery, Obesity, Infertility INTRODUCTION Assisted reproductive technology actually involves group of treatments which are used to achieve pregnancy when patients are suffering from issues like infertility or subfertility. The treatments can involve invitro fertilization [IVF], intracytoplasmic sperm injection [ICSI], embryo transfer, egg donation, sperm donation, cryopreservation, etc., [1]. -
Clarifying Questions About “Risk Factors”: Predictors Versus Explanation C
Schooling and Jones Emerg Themes Epidemiol (2018) 15:10 Emerging Themes in https://doi.org/10.1186/s12982-018-0080-z Epidemiology ANALYTIC PERSPECTIVE Open Access Clarifying questions about “risk factors”: predictors versus explanation C. Mary Schooling1,2* and Heidi E. Jones1 Abstract Background: In biomedical research much efort is thought to be wasted. Recommendations for improvement have largely focused on processes and procedures. Here, we additionally suggest less ambiguity concerning the questions addressed. Methods: We clarify the distinction between two confated concepts, prediction and explanation, both encom- passed by the term “risk factor”, and give methods and presentation appropriate for each. Results: Risk prediction studies use statistical techniques to generate contextually specifc data-driven models requiring a representative sample that identify people at risk of health conditions efciently (target populations for interventions). Risk prediction studies do not necessarily include causes (targets of intervention), but may include cheap and easy to measure surrogates or biomarkers of causes. Explanatory studies, ideally embedded within an informative model of reality, assess the role of causal factors which if targeted for interventions, are likely to improve outcomes. Predictive models allow identifcation of people or populations at elevated disease risk enabling targeting of proven interventions acting on causal factors. Explanatory models allow identifcation of causal factors to target across populations to prevent disease. Conclusion: Ensuring a clear match of question to methods and interpretation will reduce research waste due to misinterpretation. Keywords: Risk factor, Predictor, Cause, Statistical inference, Scientifc inference, Confounding, Selection bias Introduction (2) assessing causality. Tese are two fundamentally dif- Biomedical research has reached a crisis where much ferent questions, concerning two diferent concepts, i.e., research efort is thought to be wasted [1]. -
Cygwin User's Guide
Cygwin User’s Guide Cygwin User’s Guide ii Copyright © Cygwin authors Permission is granted to make and distribute verbatim copies of this documentation provided the copyright notice and this per- mission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this documentation under the conditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this documentation into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the Free Software Foundation. Cygwin User’s Guide iii Contents 1 Cygwin Overview 1 1.1 What is it? . .1 1.2 Quick Start Guide for those more experienced with Windows . .1 1.3 Quick Start Guide for those more experienced with UNIX . .1 1.4 Are the Cygwin tools free software? . .2 1.5 A brief history of the Cygwin project . .2 1.6 Highlights of Cygwin Functionality . .3 1.6.1 Introduction . .3 1.6.2 Permissions and Security . .3 1.6.3 File Access . .3 1.6.4 Text Mode vs. Binary Mode . .4 1.6.5 ANSI C Library . .4 1.6.6 Process Creation . .5 1.6.6.1 Problems with process creation . .5 1.6.7 Signals . .6 1.6.8 Sockets . .6 1.6.9 Select . .7 1.7 What’s new and what changed in Cygwin . .7 1.7.1 What’s new and what changed in 3.2 . -
[Linux] - Unix/Linix Commands
[Linux] - Unix/Linix Commands 1. $ ssh username@servername command used to login to server 2$ pwd it prints present working directory 3$ ls -l listing the files in present directory 4$ cd..takes you to previous Dir 5$ mkdir <directory>will create directory 6$ mkdir -p /home/user1/d1/d2/d3will create all the non-existing Dir’s 7$ vi <file_name>opens file for reading/editing 8$ cat <file_name>display contents of file 9$ more <file_name>displays page by page contents of file 10$ grep <pattern> file_namechecks pattern/word in file name specified 11$ head <file_name>shows first 10 lines of file_name 12$ touch <file_name>creates a zero/dummy file 13$ ln file1 file2 creates link of file1 to file2 14$ cp <file1> <file2>Copy a file 15$ mv <file1> <file2>Move/rename a file or folder 16$ clearclears the scree 17$ whoDisplays logged in user to the system. 18$ file <file_name>shows what type of file it is like 19$wwill display more info abt the users logged in 20$ ps -efshows process 21$ which <file_name>shows if the file_name/command exists and if exists display the path 22$ rm <file_name>will delete file specified$ rm * Delete all the files in the present directory (BE CAREFUL WHILE GIVING THIS COMMAND) 23$ find . -type f -print -exec grep -i <type_ur_text_here> {} \;this is recursive grep$ find / - name <file_name> -print 24$ tail <file_name>shows last 10 lines of fileuse tail -f for continous update of file_name 25$ chmod 777 <file_name>changes file_name/directory permissions use –R switch for recursive 26$ chown owner:group <file_name>changes -
CICS and IPCS
CICS and IPCS Andre Clark Staff CICS L2 Support Agenda § Dump types § Some basic IPCS commands § CICS Verbexit DFHPDxxx § Common System Area (CSA) § Storage Manager (SM) § Transaction Manager (XM) § Dispatcher (DS) § Kernel (KE) § Loader domain (LD) § Program domain (PG) § Lock Manager (LM) § Enqueue domain (NQ) § Application domain (AP) § Task Summary (TK) § Trace (TR) 3 IPCS Primary Menu ------------------- IPCS PRIMARY OPTION MENU --------------------------------- OPTION ===> ******************** 0 DEFAULTS - Specify default dump and options * USERID - USASSC1 1 BROWSE - Browse dump data set * 2 ANALYSIS - Analyze dump contents * 3 UTILITY - Perform utility functions * TIME - 16:46 4 INVENTORY - Inventory of problem data * PREFIX - USASSC1 5 SUBMIT - Submit problem analysis job to batch * TERMINAL- 3278 6 COMMAND - Enter subcommand, CLIST or REXX exec * PF KEYS - 24 T TUTORIAL - Learn how to use the IPCS dialog ******************** X EXIT - Terminate using log and list defaults Enter END command to terminate IPCS dialog F1=HELP F2=SPLIT F3=END F4=RETURN F5=RFIND F6=MORE F7=UP F8=DOWN F9=SWAP F10=LEFT F11=RIGHT F12=CURSOR 4 IPCS Default Menu ------------------------- IPCS Default Values --------------------------------- Command ===> You may change any of the defaults listed below. The defaults shown before any changes are LOCAL. Change scope to GLOBAL to display global defaults. Scope ==> BOTH (LOCAL, GLOBAL, or BOTH) If you change the Source default, IPCS will display the current default Address Space for the new source and will ignore any data entered in the Address Space field. Source ==> DSNAME('USASSC1.SHAREFC.DUMP') Address Space ==> ASID(X'0044') Message Routing ==> NOPRINT TERMINAL Message Control ==> FLAG(WARNING) NOCONFIRM VERIFY Display Content ==> MACHINE REMARK REQUEST NOSTORAGE SYMBOL Press ENTER to update defaults. -
Using IPCS with MVS/ESA Version 5
SYSTEM BY TOM BRYANT STRATEGIES MVS/XA/ESA Problem Solving: Part I — Using IPCS With MVS/ESA Version 5 PCS for MVS/ESA Version 5 has come a long way since I first used it in 1983 at the prompting of an exuberant IBM customer engineer. IPCS IPCS for MVS/ESA continues to move toward a fully panel-driven environment, although in Version 5 offers many Isome situations, I find using IPCS commands easier. capabilities, including the ability to scan for unformatted storage dumps. This article Future articles will examine the environ- easily in batch mode as well as in an ISPF mental record editing and printing program foreground session. I also wanted a CLIST examines the many (EREP), one-page MVS/XA/ESA abend that was well-documented with easy-to-use facilities of IPCS, analysis, advanced SVCDUMP analysis, parameters. Finally, I wanted a CLIST that slip traps and GTF tracing, and standalone does not hang onto dump directory and IPCS and includes some dump analysis. print dataset allocations when completed, as of the author’s favorite IPCS stands for Interactive Problem the IBM BLSCDDIR CLIST does. Control System, although most people IPCS commands. (myself included) use it just for looking at IPCS CLISTS FOR MVS/ESA unformatted storage dumps. IPCS will process VERSION 4.3 AND ABOVE SVCDUMPs which are dumps usually pro- The #IPCSTJB CLIST is the mainline duced with the abend (SVC 13) issued by your CLIST that you execute to establish an IPCS program or the system. Other unformatted session (see Figure 1). If you are invoking dumps that IPCS will produce include an #IPCSTJB for the first time, the NEW CLIST application unformatted dump allocated keyword parameter indicates that you will through the SYSMDUMP DD statement and dynamically create a VSAM dump directory the standalone dump produced by the stand- using the value of the VOL CLIST keyword alone dump program. -
Unlocking the Power of Pharmacovigilance* an Adaptive Approach to an Evolving Drug Safety Environment
Unlocking the power of pharmacovigilance* An adaptive approach to an evolving drug safety environment PricewaterhouseCoopers’ Health Research Institute Contents Executive summary 01 Background 02 The challenge to the pharmaceutical industry 02 Increased media scrutiny 02 Greater regulatory and legislative scrutiny 04 Investment in pharmacovigilance 05 The reactive nature of pharmacovigilance 06 Unlocking the power of pharmacovigilance 07 Organizational alignment 07 Operations management 07 Data management 08 Risk management 10 The three strategies of effective pharmacovigilance 11 Strategy 1: Align and clarify roles, responsibilities, and communications 12 Strategy 2: Standardize pharmacovigilance processes and data management 14 Strategy 3: Implement proactive risk minimization 20 Conclusion 23 Endnotes 24 Glossary 25 Executive summary The idea that controlled clinical incapable of addressing shifts in 2. Standardize pharmacovigilance trials can establish product safety public expectations and regulatory processes and data management and effectiveness is a core principle and media scrutiny. This reality has • Align operational activities across of the pharmaceutical industry. revealed issues in the four areas departments and across sites Neither the clinical trials process involved in patient safety operations: • Implement process-driven standard nor the approval procedures of the organizational alignment, operations operating procedures, work U.S. Food and Drug Administration management, data management, and instructions, and training -
Epidemiology of and Risk Factors for COVID-19 Infection Among Health Care Workers: a Multi-Centre Comparative Study
International Journal of Environmental Research and Public Health Article Epidemiology of and Risk Factors for COVID-19 Infection among Health Care Workers: A Multi-Centre Comparative Study Jia-Te Wei 1, Zhi-Dong Liu 1, Zheng-Wei Fan 2, Lin Zhao 1,* and Wu-Chun Cao 1,2,* 1 Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China; [email protected] (J.-T.W.); [email protected] (Z.-D.L.) 2 State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China; [email protected] * Correspondence: [email protected] (L.Z.); [email protected] (W.-C.C.) Received: 31 August 2020; Accepted: 28 September 2020; Published: 29 September 2020 Abstract: Healthcare workers (HCWs) worldwide are putting themselves at high risks of coronavirus disease 2019 (COVID-19) by treating a large number of patients while lacking protective equipment. We aim to provide a scientific basis for preventing and controlling the COVID-19 infection among HCWs. We used data on COVID-19 cases in the city of Wuhan to compare epidemiological characteristics between HCWs and non-HCWs and explored the risk factors for infection and deterioration among HCWs based on hospital settings. The attack rate (AR) of HCWs in the hospital can reach up to 11.9% in Wuhan. The time interval from symptom onset to diagnosis in HCWs and non-HCWs dropped rapidly over time. From mid-January, the median time interval of HCW cases was significantly shorter than in non-HCW cases. -
Operating System Lab Manual
OPERATING SYSTEM LAB MANUAL BASICS OF UNIX COMMANDS Ex.No:1.a INTRODUCTION TO UNIX AIM: To study about the basics of UNIX UNIX: It is a multi-user operating system. Developed at AT & T Bell Industries, USA in 1969. Ken Thomson along with Dennis Ritchie developed it from MULTICS (Multiplexed Information and Computing Service) OS. By1980, UNIX had been completely rewritten using C langua ge. LINUX: It is similar to UNIX, which is created by Linus Torualds. All UNIX commands works in Linux. Linux is a open source software. The main feature of Linux is coexisting with other OS such as windows and UNIX. STRUCTURE OF A LINUXSYSTEM: It consists of three parts. a)UNIX kernel b) Shells c) Tools and Applications UNIX KERNEL: Kernel is the core of the UNIX OS. It controls all tasks, schedule all Processes and carries out all the functions of OS. Decides when one programs tops and another starts. SHELL: Shell is the command interpreter in the UNIX OS. It accepts command from the user and analyses and interprets them 1 | P a g e BASICS OF UNIX COMMANDS Ex.No:1.b BASIC UNIX COMMANDS AIM: To study of Basic UNIX Commands and various UNIX editors such as vi, ed, ex and EMACS. CONTENT: Note: Syn->Syntax a) date –used to check the date and time Syn:$date Format Purpose Example Result +%m To display only month $date+%m 06 +%h To display month name $date+%h June +%d To display day of month $date+%d O1 +%y To display last two digits of years $date+%y 09 +%H To display hours $date+%H 10 +%M To display minutes $date+%M 45 +%S To display seconds $date+%S 55 b) cal –used to display the calendar Syn:$cal 2 2009 c)echo –used to print the message on the screen. -
Understanding Risk & Protective Factors for Suicide
Understanding Risk and Protective Factors for Suicide: A Primer for Preventing Suicide Risk and protective factors play a critical role in suicide prevention. For clinicians, identifying risk and protective factors provides critical information to assess and manage suicide risk in individuals. For communities and prevention programs, identifying risk and protective factors provides direction about what to change or promote. Many lists of risk factors are available throughout the field of suicide prevention. This paper provides a brief overview of the importance of risk and protective factors as they relate to suicide and offers guidance about how communities can best use them to decrease suicide risk. Contents: What are risk and protective factors? Risk factors are not warning signs. What are major risk and protective factors for suicide? Why are risk and protective factors important? Using risk and protective factors in the strategic planning process Key points about risk and protective factors for suicide prevention Additional resources Further reading References What are risk and protective factors? Risk factors are characteristics that make it more likely that individuals will consider, attempt, or die by suicide. Protective factors are characteristics that make it less likely that individuals will consider, attempt, or die by suicide. Risk and protective factors are found at various levels: individual (e.g., genetic predispositions, mental disorders, personality traits), family (e.g., cohesion, dysfunction), and community (e.g., availability of mental health services). They may be fixed (those things that cannot be changed, such as a family history of suicide) or modifiable (those things that can be changed, such as depression).