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How to handle discrepancies while you collect data for systemic review – Pubrica

1.tPopulation specification error:<br>2.tSample error:<br>3.tSelection error:<br>4.tNon- response error:<br><br>Continue Reading: https://bit.ly/36i7iYo<br>For our services: https://pubrica.com/services/research-services/systematic-review/<br>

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How to handle discrepancies while you collect data for systemic review – Pubrica

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  1. HOW TO HANDLE DISCREPANCIESWHILE YOU COLLECT DATA FORSYSTEMICREVIEW AnAcademicpresentationby Dr.NancyAgnes,Head,TechnicalOperations,Pubrica Group: www.pubrica.com Email:sales@pubrica.com

  2. Today'sDiscussion Outline In-Brief Introduction DefiningActiveImplantableMedicalDevices Data Extraction for Systemic Review AvoidingDataExtractionMistakes Conclusion

  3. In-Brief Systematicreviewshavestudiedratherthanreportsastheunitofinterest.So,multiple reports of the same study need to be identified and linked together before or after data extraction. Because of the growing abundance of data sources (e.g., studies registers, regulatory records, and clinical research reports), review writers can determine which sources can include the most relevant details for the review and provide a strategy in place to address discrepancies if evidence were inconsistent throughout sources. The key to effective data collection is creating simple forms and gathering enough clear datathataccuratelyrepresents thesourcein aformaland orderedmanner.

  4. Introduction Thesystematicreviewisdesignedtofindall experiments applicable to their research question and synthesize data about the design, probability of bias, andoutcomes ofthose studies. As a result, decisions on how to present and analyze datafromthesestudiessignificantlyimpacta systematicreview. Datacollectedshouldbereliable,complete,and availableforfutureupdatinganddatasharing. Contd...

  5. The methods used to make these choices must be straightforward,andtheyshouldbeselectedwith biasesand humanerrorin mind. Wedefinedatacollectionmethodsusedina systematic review, including data extraction directly fromjournalarticlesandotherstudypapers.

  6. Defining Active Implantable Medical Devices An active medical device operates by using and convertingalarge amountof energy. Exceptforgravitationalanddirecthumanenergies, activedevicescan useany energy. Active medical devices, as defined by the Therapeutic Goods(MedicalDevices)Regulations2002,canbe broadlyclassifiedinto twocategories: Contd...

  7. Data Extraction forSystemic Review Onescientistextractedthecharacteristicsandfindings oftheobservational cohortstudies. The main objectives of each scientific analysis were alsoderived,andthestudiesweredividedintotwo groupsbasedonwhethertheydealtwithbiased reportingorsource discrepancies. When the published results were chosen from different analyses of the same data with a given result, this was referredtoasselective analysisreporting. Contd...

  8. Wheninformationwasmissinginonesourcebutmentionedinanother,orwhenthe informationprovidedintwosourceswasconflicting,adiscrepancywasidentified. Another author double-checked the data extraction. There was no masking, and disputeswere settled byconversation.

  9. 1.POPULATIONSPECIFICATIONERROR: AvoidingData Extraction Mistakes The problem of calculating the wrong people or definitionratherthanthecorrectconceptisknown asapopulationspecification error. When you don't know who to survey, no matter whatdataextractiontoolyouuse,thedata analysisis slanted. Considerwhoyouwanttosurvey.Similarly, having population definition errors occurs when youbelieveyouhavethecorrectsample respondentsordefinitionswhenyoudon't. Contd...

  10. 2.SAMPLEERROR: When a sampling frame does not properly cover the population needed for a study, sample frame erroroccurs. A sample frame is a set of all the objects in a population. If you choose the wrong sub-population to decide an entirely alien result, you'll make frame errors areafewexamplesofsample frames. Contd...

  11. A good sampling frame allows you to cover the entiretargetcommunityorpopulation. 3.SELECTIONERROR: Aself-inviteddatacollectionerroristhesameas aselection error. Itcomeseventhoughyoudon'twantit. We've all prepared our sample frame goingoutonthe fieldstudy. before Contd...

  12. But what if a participant self-invites or participates inastudythat isn'tpartof ourstudy? From the outset, the respondent is not on our research'ssyllabus. Whenyouchooseanincorrectorincomplete sample frame, the analysis is automatically tilted, asthe nameimplies. Sincethesesamplesaren'timportanttoyour research,it'suptoyoutomaketheright evidence-baseddecision. Contd...

  13. Contd...

  14. 4.NON-RESPONSEERROR: The higher the non-response bias, the lower the responserate. The field data collection error refers to missing data rather than an data analysisbased on an incorrectsampleorincompletedata. It can be not easy to maintain a high response rateona large-scalesurvey. Environmental or observational errors may cause measurementerrors. Contd...

  15. It's not the same as random errors that have no knowncause. Theyestablishedandusedthreecriteriato determine methodological quality because there was no recognized tool to evaluate the empirical studies'organizationalquality. Self-determiningdataextractionbyatleasttwo people Definitionofpositiveandnegativefindings. Contd...

  16. 3. Safety of selective empiricalstudy For each study, two evaluatedthesethings. reporting bias in the authors independently Since the first author was personally involved in the study's design, an independent assessor was invitedto reviewit. Anydiscrepancieswereresolvedthrougha consensus discussion with a third reviewer who wasnotconcernedwiththeincludedstudies.

  17. Conclusion Dataextractionmistakesareextremelycommon. Itmayleadtosignificantbiasinimpactestimates. However,fewstudieshavebeenconductedonthe impactofvariousdataextractionmethods,reviewer characteristics,andreviewertrainingondata extractionquality. Asaresult,theevidencebaseforexistingdata extraction criteria appears to be lacking because the actual benefit of a particular extraction process (e.g. independentdataextraction)orthecompositionofthe extraction team (e.g. experience) has not been adequatelydemonstrated. Contd...

  18. Itisunexpected,consideringthatdataextractionis suchanimportantpartofasystematicreview. More comparative studies are required to gain a better understandingoftheimpactofvariousextraction methods. Studies on data extraction training, in particular, are requiredbecausenosuchworkhasbeendonetodate. In the future, expanding one's knowledge base will aid in the development of successful training methods for newreviewers andstudents.

  19. ContactUs UNITEDKINGDOM +44-7424810299 INDIA +91-9884350006 EMAIL sales@pubrica.com

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