Home
Language
English
TΓΌrkΓ§e
Bahasa Indonesia
About
Privacy Policy
Terms of Service
Pricing
Sign In
Download All
Share
Kevin Patio
@KevinUTSPharm
Joined August 2017
6
Following
4
Followers
47
Posts
Kevin Patio
@KevinUTSPharm
almost 9 years ago
Q10 Unclear, due to small and local sample size (mostly old guys in deutschland), its generalisability can be improved.
#utsebp
Kevin Patio
@KevinUTSPharm
almost 9 years ago
q8 stats package used for data analysis, recordings analysed by EAS, TBKS, discrepancies resolved by consensus#utsebp
Kevin Patio
@KevinUTSPharm
almost 9 years ago
@calebferg
q7. patients guaranteed data anon. consent was obtained for digital rec. of interviews. Ethics app. granted
#utsebp
Kevin Patio
@KevinUTSPharm
almost 9 years ago
@kaven_phung94
pubg?
Who to follow
Peter Stubbs
@PeterStubbsPT
Husband | Father | Teacher | Researcher - #Neurorehabilitation, PhysDB-FCP database, #VR, #MetaResearch, #EBM | #Karaoke songster | Views are my own
Kevin Patio
@KevinUTSPharm
almost 9 years ago
@calebferg
Q6. Interview conducted by a trained phychologist via phone/f2f. results discussed afterwards by a medical dr and researcher.
#utsebp
Kevin Patio
@KevinUTSPharm
almost 9 years ago
@calebferg
Q4, out of 100 patients, 67 participated in quantitative part, only 17 agreed to an interview. too few numbers
#utsebp
Kevin Patio
@KevinUTSPharm
almost 9 years ago
@calebferg
Q3 yes, a qualitative design is appropriate when trying to understand perceptions and preferences
#utsebp
Kevin Patio
@KevinUTSPharm
almost 9 years ago
@calebferg
Q2 yes, some patients did not fully understand SDM. Qualitative part was used to clarify quantitative outcomes
#utsebp
#georgeaoun
Kevin Patio
@KevinUTSPharm
almost 9 years ago
@calebferg
Yes, investigate decision making preferenes, investigate facilitators, barriers, patients percieve as important
#utsebp
Kevin Patio
@KevinUTSPharm
almost 9 years ago
@calebferg
hello
#utsebp
Kevin Patio
@KevinUTSPharm
about 9 years ago
@calebferg
Q11 yes, even though primary obj was minimally sig. all sec. obj were highly sig. TEXTME is 10c per txt = cheap. Good cost:benefit
#utsebp
Kevin Patio
@KevinUTSPharm
about 9 years ago
@calebferg
texts were delivered in english. most participants were of 'considerable ethnic diversity'. Results applicable to multcultural pop.
#utsebp
Kevin Patio
@KevinUTSPharm
about 9 years ago
@calebferg
Q9. as all subjects were sourced from a local western syd. hospital, results are mainly representative of the local pop.
#utsebp
Kevin Patio
@KevinUTSPharm
about 9 years ago
@calebferg
Q8. hard to say, short treatment time of 6 months, selfreported data, localised population may obscure true effect on gen population
#utsebp
Kevin Patio
@KevinUTSPharm
about 9 years ago
@calebferg
Q7 the 95%CI touches zero for LDL = minimal clinical significance. Sig diff for all other sec. outcomes
#utsebp
Kevin Patio
@KevinUTSPharm
about 9 years ago
@calebferg
Q6 yes, all were assessed at baseline, and followed up at 6 months. All patients had their outcomes measured via int std procedures
#utsebp
Kevin Patio
@KevinUTSPharm
about 9 years ago
@calebferg
Q5 yes, the groups were similar at the start of the trial. the baseline characteristics are outlined in table 1. No pvalues tho?
#utsebp
Kevin Patio
@KevinUTSPharm
about 9 years ago
@calebferg
Q4, Health workers and study personnel were blinded during the study, the patients however, were not
#utsebp
Kevin Patio
@KevinUTSPharm
about 9 years ago
@calebferg
Q2 Yes, via a computerized randomization program that was accessed through a secure web interface
#utsebp
Kevin Patio
@KevinUTSPharm
about 9 years ago
@calebferg
P; cardiovascular risk I: SMS C No sms O: lower LDL + secondary outcomes
#UTSEBP
Primary = lower LDL; sec; BP, BMI, exercise, red. smoking
Last Seen Users on Sotwe
SevinΓ§ ARAS
Seen from
United States
Cole π€ͺ
Seen from
United Kingdom
Mud monster
Seen from
Malaysia
ΩΩΨ±ΩΩΩ Ψ³Ψ§ΨΩ
Seen from
Netherlands
Natalia zapata
Seen from
Indonesia
K11 =))
Seen from
Vietnam
Brandon Watkins
Seen from
United Arab Emirates
PORTAL
Seen from
United States
king
Ψ³ΩΨ³ ΩΩΨ¨ΩΨ§π₯π±πΎ
Trends for you
1
#Lanterns
Under 10K tweets
2
Lions
Under 10K tweets
3
Rollie
Under 10K tweets
4
#LaCasaDeLosFamososMΓ©xico
Under 10K tweets
5
Sinestro
Under 10K tweets
6
Hal Jordan
Under 10K tweets
7
Tom King
Under 10K tweets
8
#LaGranja
Under 10K tweets
9
Brazil
Under 10K tweets
10
Kerry
Under 10K tweets
Most Popular Users
1
Elon Musk
@elonmusk
241.8M followers
2
Barack Obama
@barackobama
119M followers
3
Cristiano Ronaldo
@cristiano
114.6M followers
4
Donald J. Trump
@realdonaldtrump
111.9M followers
5
Narendra Modi
@narendramodi
107.2M followers
6
Rihanna
@rihanna
98.7M followers
7
NASA
@nasa
92.4M followers
8
Justin Bieber
@justinbieber
91.8M followers
9
KATY PERRY
@katyperry
90.1M followers
10
Taylor Swift
@taylorswift13
84M followers
11
Lady Gaga
@ladygaga
75.5M followers
12
Virat Kohli
@imvkohli
73.5M followers
13
Kim Kardashian
@kimkardashian
70.9M followers
14
YouTube
@youtube
68.8M followers
15
Neymar Jr
@neymarjr
66.5M followers
16
Bill Gates
@billgates
65.3M followers
17
Selena Gomez
@selenagomez
63.1M followers
18
The Ellen Show
@theellenshow
62.3M followers
19
CNN
@cnn
61.8M followers
20
X
@x
60.7M followers
Olivia
Online
β¨
β
π«