quality improvement

Question 1

qi d

Answer 1

combined efforts of hcp, pt, fams, resarchers, planners, pauerts, educaots

to make changes > betwer pt oucome (health

sys perdormance (Care

progessional development (learning

Question 2

key groups invovled in qi progect

Answer 2

project lead

surpervisor

qi team or impovement speciailist

wider team

Question 3

proect lead

Answer 3

drive project forward

devleop + implement improvement ideas

Question 4

urpervisor

Answer 4

sneoir clinical

give expert advice

Question 5

qi team or impovement speciailist

Answer 5

expwrt adivce

or suport implementaxn + evaluaxn of change

Question 6

wider team

Answer 6

support of collaeages > implement + sustain chamge

Question 7

improvement model key qus

Answer 7

what try accomplish

howknow impvoemnt change

wat change > i,r[pve,emt

Question 8

eg mod

Answer 8

pdsa plan do study act cyle

Question 9

what try accomplish

Answer 9

what impve = specific pt cohort , groups target

l test change = measurable

by how much impvoe by = achevable

-baseline der Realistic

qhen achieve = time bound

Question 10

how know change impvovment

Answer 10

outocme
process
balacning

Question 11

clinical audit

Answer 11

report harm never/ near miss

Question 12

pdsa

Answer 12

reflective learning cycle

aim = continuous improvement

llearn from small sclae changes tested 1 at a time

review

Question 13

mod for improcemnet

Answer 13

expanded verxn of pdsa

Question 14

performancce benchmark

Answer 14

compare performance to standards

or sme else performance

Question 15

healthcare dialure modes + effects analsis

Answer 15

check at every stpe what can go wrong

to find out underlying cause> risk

Question 16

lean/ 6 sigma

Answer 16

eliminate waste/ chance for defect

Question 17

process map

Answer 17

pt journey

from when arrive at hospital> dishcarge

elements devallue or give vaue w services?

Question 18

statistical proces control

Answer 18

certainamount data as baseline

sma eamount data post intervenxn

compare 2 data sets + c if improve

Question 19

root cause analusis

Answer 19

start w prod
docus on find sol

until reach root cause

targ rot cause + try resolve

Question 20

communicax tools

Answer 20

eg sbar

starndardised

Question 21

technolicial innovaxns

Answer 21

changes to sys w tech

eliminate chnace for defect

eg prev human errors

Question 22

decizn trees

Answer 22

consider poss impact of decizn

= come up deif scenarios after decixn

Question 23

process measure

Answer 23

evaluate impact of process being changed or intro

evalueate uptae of intervenxn

Question 24

balancing

Answer 24

unintetnded conseq bc of intetvenxn

Question 25

plan in pdsa

Answer 25

obectice predict who what ehen wehere what data

Question 26

do

Answer 26

try test on small scale focument probs + unexpected obsevaxn

Question 27

study

Answer 27

analyse data comapre data to summarise + reglect predixn

Question 28

act

Answer 28

regine change, based on what learned from test paln mods for next test

Question 29

end result pdsa

Answer 29

adopt change adapt chnage + do another pdsa abdanfom change + another pdsa

Question 30

how oclelct robust data

Answer 30

plana for data collexn + ensure consistend clear operaxnal d for each measure clear on excluxn aware of pos stratfiiers dec varauxn eg si, conds

Question 31

baseline data d

Answer 31

intial dat collected b4 pdsa

Question 32

f baseline

Answer 32

evluate impact of intervenxn

Question 33

reocmmened no baseline data pts

Answer 33

20-30

Question 34

ty charrts

Answer 34

bar run Statistical Process Control (SPC)

Question 35

run chart

Answer 35

darta plot over time often w median

Question 36

spc +Ve

Answer 36

more useful for qi than run charrts

Question 37

spc hw

Answer 37

mean as centre line upper + lower control limit

Question 38

control limit

Answer 38

3 sd from mean

Question 39

common cause variaxn

Answer 39

if all data pts win control limits , data under control exoect further data between control limits

Question 40

speciical cause variaxn

Answer 40

rules tell when data not under control + smg happened to cage way data behaves

Question 41

rules sv

Answer 41

astronomical pt = outside limits 8+ consecutive pts anove /below mean line trend - 6+ consecgtutrive inc or dec pts 2 of 3 cpsecgiove pts win 1sd control limits 15+ consectuvie pts win 1sd of mean (inner 1/3 chanrt

Question 42

stop the line

Answer 42

1. say what u c 2say what concerned about swy what want to happen to keep pt safe stop the line

Question 43

Components of a good safety | culture:

Answer 43

``` Good levels of reporting • Whistle-blowers treated fairly • Just culture • Learning from incidents - LEG • Freedom to Speak Up • Pro-active identification of latent errors • Creating psychological safety – A ```