Domain II Data Quality NCRA Chapter 4 CTR exam prep Questions And Answers 2023

Domain II Data QualityNCRA Chapter 4 CTR exam prep insures the completeness and accuracy of casefinding, abstracting, coding, follow-up and reporting activities - Correct answer-Quality control PROSPECTIVE, baseboardroad-based system of planning, measuring, evaluating and improving the QUALITY and OUTCOME of cancer patient managment - Correct answer-Quality management implementation and routine use of various quality control methods in an organized planned manner - Correct answer-quality control program Example of "BUILT IN" quality control method is - Correct answer-a properly written procedure manual & clearly written data acquisition manual essential to building and maintaining a high quality data system - Correct answertraining of data collection personnel FIVE major cancer registry quality attributes - Correct answer-case completeness, data completeness, accuracy, coding consistency, publication consistency THREE key components of data quality - Correct answer-completeness, timeliness, accuracy. measurement of the number of cases missed or missing data - Correct answerCompleteness compromises the integrity of the database with the possibility of selection bias - Correct answer-incomplete data indispensable component of registry data quality - Correct answer-timeliness reduces the usefullness of registry report - Correct answer-late data Timeliness can be monitored by - Correct answer-accural method or process monitoring method Evaluation of the overal accumlation of cases over months or years - Correct answerAccrual method evlauation of the length of time between critical events in the data acquisition process - Correct answer-process monitoring method Rapid quality reporting system - Correct answer-RQRS real time data collection program NAACCR standard states that Central CA Registries should contain - Correct answer-at least 95% of expected cases w/i 18 months of dx year SEER requires - Correct answer-98% of new cases w/i 20mths end of year indicates that repeated data collection essentially will generate information of the same standard of accuracy - Correct answer-Accuracy Error detection techniques include: - Correct answer-casefinding studies, edit checking, reabstracting, duplicate coding, duplicate data entry, exchange of abstracts, med advisor review, comparative audit can be done by comparison with the original source documents or by determining if the data are plausible and internally consistent - Correct answer-consistency checks Examples of consistency checks - Correct answer-Visual checks, computer edit checks abstractor reviews their own abstract or one anothers - Correct answer-visual check verification of valid codes, check logical consistency, date sequence checks - Correct answer-computer edit checks logical rules that evaluate true,false or maybe for any value of a data item. checks for internal consistency & inter record consistency - Correct answer-data edits verify that the contencts of a single field or data item are valid without ref to any other fild or item (only valid codes for that field are used) - Correct answer-single field or item edits edits check the contents of more than one item against another, checking for logical consistency & date sequence checks. exp:male w/ uterine ca. - Correct answer-Multi field or interfield. edit check mulitiple items in different records for internal consitency. usually all records on a single patient in a database - Correct answer-multi-record or inter-record entire abstract or portion selected completely redone w/o ref to original abst - Correct answer-re-abstract study acceptance or rejection of a product based on results of inspection. (errors are discovered and corrected as part of the process) - Correct answer-acceptance sampling