Analysis of VLAD Data - Assignment
Added on 2021-05-31
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Disease and DisordersPublic and Global HealthHealthcare and ResearchStatistics and Probability
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Running Head: ANALYSIS OF VLAD DATA 1 Analysis of VLAD Data Unit Title Student Name University Name
Running Head: ANALYSIS OF VLAD DATA 2 Analysis of VLAD data (Stroke In-Hospital Mortality VLAD, Jul 2011 - Nov 2014) anddevelopment of an action plan to improve performance (2000 words)Note: There are 4 parts to this task. Please make sure you attempt all parts. You cannotanswer these questions without referring to the provided resource – VLADs for Dummies.1.How are VLAD graphs interpreted? Explain the important features/aspects of aVLAD graph? As an example, what does the red line, blue line, black lineindicate, what are the numbers, what does the y axis indicate, what are the level 1to 3 limits for (Note: this is not an exhaustive list. There may be other features thatyou should explain-what they are and what is their purpose)?VLAD data is clinical indicator screening tool that helps to bridge concern gaps and measuresafety to increase patient wellbeing and eminence of care. Basically, the VLAD curve showsthe variance that occur between the estimated numbers and numbers of medical conditions ordeath detected with time (Coory, M, 2017). Estimated numbers of a particular medicaloutcome are reached by calculating individual risk after which they are inferred and appliedto all individuals. VLAD outcomes are assigned values, in baseline probability of a medical
Running Head: ANALYSIS OF VLAD DATA 3outcome occurring, the probability is represented by P, where P is between 0 and 1 (Liu, M,2011). Interpretation of score include 0-1(10%) where an event is unlikely to occur and0.9(90%) an event is highly likely to occur. All these are calculated through logisticregression. Therefore, VLAD mark score is the accumulative aggregate score by time whichstands for accumulative variation between predictable and detected medical outcome (Lopez,A, 2016).When variance exceeds zero then less outcomes than perceived occur, and whenbelow zero then there have been additional outcomes than anticipated. Charting VLAD ismade by scheming VLAD mark by time this tells developments with time. Subgroups liketrial arms and different hospitals can be plotted independently with various traces on the sameVLAD chart. On the chart the VLAD graph has various lines with different interpretation(Noxez, L, 2009). Each dot characterises a patient who had a medical condition or disease.When the patient lived the line travels upwards but when the patient perished the line travelsdownwards. The probability of a patient dying directly impacts the degree of movement ofthe line up or down. There are also three lines namely: VLAD black line; the lower controllimit represented by the red line and upper control limit represented by the blue line. Theupper and lower control limits represent the boundaries of acceptable differences (Murraf, M,2012). Cases whereby the VLAD line touches any of the control lines the exact place where ithas touched is flagged. At this point it calls for an intervention approach to determine thereasons for the difference from national score.VLAD probes the following: I.Medical indicatorsII.It aims to find a particular result,
Running Head: ANALYSIS OF VLAD DATA 4III.It creates boundaries of cut off for responsive increase or decrease, IV.Observed period and V.Exact location whereby the study was conducted. VLAD utilises the logistic regression in calculating clinical indicator probability and itsoutcome which is based on an individual patient. If the VLAD curves rise to above zero thenthe first patient surviving is likely in comparison to the probability of the patient dying(Kaira, L, 2014). If the VLAD curve decreases the likelihood of the first patient dying islikely in comparison to the patient surviving. Hence, the remaining plots is applied to theremaining patients. VLAD encapsulates a process of flagging which happens once a specifiedlevel of difference is reached by three flagging levels. Once a VLAD flag happens on specificplace it means over a period there have been additional (or fewer) patients having the resultthan estimated, upwards till the specific patient. The technique to look at this graph is tooriginally express for flags and then view rearward from the flagging plug to figure out thepatients for evaluation. Flagging levels can happen at upper or lower levels. The level 3 flagis the upper level, this indicates that the hospital’s result rate is lower than the national resultrate (Tan, H, 2015). The level 1 flag is the lower level flag shows that the hospital degreeexceeds the national result rate. Finally, level 2 flag is the medium level which rests at broadlevel, staying inside the upper and lower control limits. This shows that that clinic’s outcomerate is same as the national outcome rate.
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