One last comment/correction: all tables had *some* cells

Sorry I had trouble posting my comments. I have attached the rest here:

The problem I see here is that the cell counts are

The problem I see here is that the cell counts are

I'm please to practice my peer review skills here as I strongly support the goal of Researchers One to provide commentary and feedback to one another. I have some background on this topic as I did program evaluation for a mental health clinic that provided televidimedicine services during COVID-19

It is my hope that my comments will be useful, and may strengthen your manuscript should you decide to publish or present in other formats.

INTRODUCTION

1. Great Alexander Graham Bell anecdote!!

2. Re reference [7] consider outlining in a brief sentence some of the controversies rather than direct the reader to the reference.

3. Expand a bit (briefly) on the "significant" technical, logistical and regulatory challenges that televidimedicine in general has faced prior to COVID.

4. I would have liked to read a bit more detail on previous studies on televidimedicine regarding to orthopaedic patients specifically.

PROCEDURE

1. It would have been interesting to get a breakdown of formats the consultations were provided in (e.g. Zoom, Skype etc..). Similarly, any comments or thoughts about the privacy concerns with these formats (I believe very strict in the UK), and how they were addressed would be helpful for other clinics.

2. Anecdotal thoughts on the utility of these formats would have been interesting. In my own experience there were plenty of times the telehealth mediums failed.

3. I am assuming you did not need ethics review as this is program evaluation. I think it is worth specifically stating.

DATA ANALYSIS

For readers of these comments who are more statistically inclined, program evaluation research typically looks at small clinical samples in order to improve services and patient experiences, rather than make inferences to a larger population. As such, statistical analyses are usually simple and used to determine any differences between groups that might suggest changes to programs or policies.

1. The sample size here is decent for a clinic evaluation, but from a statistical perspective, can present problems. Chi square tests are highly sensitive to sample size, however the problem is with larger sample sizes, so I think you are okay in that respect. The problem I see here is that the cell counts are