Daniel Kekoa Chiang

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q10 not the most valuable research as sample was small and with narrow demographics, low external validity #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q8 felt like the data wasn't rigorously analysed in terms of stat but it also felt like it was sufficient as it was opinion based #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q7 patient's data was guaranteed to be anonymous with their consent and was ethics approved #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q6 interviews were done by a psychologist on the preference of the patient's whether they want f2f or over phone #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q5 It addresses the issue using quantitative and qualitative data but since sample size was small external validity may be a problem #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q4 It was alright as it includes anyone who had AAA and PAOD (in outpatient clinic) regardless of demographics #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q3. it was alright, but felt like they could have done more interviews to get more opinion and have a larger population sample :o #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q2 yea I think it was appropriate as it creates answers both quantitatively and qualitatively to help answer the aim #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q1. yep the aim was clear to find out what kind of preferences that patients would have when they are undergoing vascular surgery #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q11 yep primary objective was small, sec objective was high and TEXTME was only on average 10$ per participant so not bad #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q9 the participants were sourced from local hospital in western sydney which represents the local population here #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q8 Data was only of a short time period (6mths) with self-reported data. Maybe it could be more precise with longer duration? #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q7 the LDL-C of -5 mean difference but 95%CIs touches zero which is small clinical difference #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q6 both groups were treated equally as their text msg was sent by random in 4 of 5 working days at working hours for a total of 6mth #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q5 The groups were very similar between control and intervention with very marginal differences in table 1 #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

@calebferg Q4 the workers/staff and clinicians were blinded but the patients were not #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

Q3. Yep all of the participants were accounted for in the flow chart as well as the start of results #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

Q2. yep the assignment of patients was randomised via computer program #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

Using text message intervention to look for a change in low-density lipoprotein as well as other factors #UTSEBP

[Daniel Kekoa Chiang @DanielUTSGSH]

Q1. it has a clear focus on the primary end point of low-density lipoprotein cholesterol (LDL) at 6 months #UTSEBP