This DATASETreadme.txt file was generated on 2024-07-01 created by Jack Grodon

DOI: https://url.uk.m.mimecastprotect.com/s/4ut1CqVKPh476qKsZR3N1?domain=doi.org

GENERAL INFORMATION

1. Title of Dataset: Patient experience and barriers of using a mHealth exercise app in musculoskeletal (MSK) Physiotherapy 

2. Author Information
A. Lead Author 
	Name: Jack Grodon
	Institution: i) University of Hertfordshire ii) Guys and St Thomas' NHS Foundation Trust
	Address: i) School of Health and Social Work, University of Hertfordshire, Hatfield, United Kingdom ii) Guy’s and St Thomas’ NHS Foundation Trust, Musculoskeletal Physiotherapy Outpatients, London, United Kingdom
	Email:  j.grodon@herts.ac.uk

B. Co-author
	Name: Christoper Tack
	Affiliation: Channel 3 Consulting
	Address: Capital Building, Tyndall Street, Cardiff, United Kingdom, CF10 4AZ
	Email: chris.tack@channel3consulting.co.uk

B. Co-author
	Name: Laura Eccott 
	Institution: University of Hertfordshire
	Address: School of Health and Social Work, University of Hertfordshire, Hatfield, United Kingdom
	Email: l.eccott2@herts.ac.uk

B. Co-author
	Name: Mindy C Cairns
	Institution: University of Hertfordshire
	Address: School of Health and Social Work, University of Hertfordshire, Hatfield, United Kingdom
	Email: m.cairns@herts.ac.uk

3. Date of data collection: May 2022

4. Geographic location of data collection: London, England 

5. Declarations: 
There are no financial, personal, or professional interests that could be construed to have influenced this service evaluation. 
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
There was no patient or public involvement in this study.

SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: CC-BY

2. Links to publications that cite or use the data: Currently under review in PLOS DIGITAL HEALTH

3. Links to other publicly accessible locations of the data: no

4. Links/relationships to ancillary data sets: no 

5. Was data derived from another source? no

6. Recommended citation for this dataset: Grodon, J., Tack, C., Eccott, L., & Cairns, M. C. (2024). Patient experience and barriers of using a mHealth exercise app in musculoskeletal (MSK) Physiotherapy [Data set]. 
   University of Hertfordshire.

DATA & FILE OVERVIEW

1. File List: 
There is 1 file that provides answers to an online patient experience survey. Missing or empty data cells indicate that the participant was not asked or did not answer the survey question. 

2. Additional related data collected that was not included int he current data package: no

3. Are there multiple versions of the data set? no

METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 

A service evaluation encompassing a cross sectional study design was employed at GSTFT in London, England (UK), involving patients within the MSK Physiotherapy department. The study was completed from 14th September 2021 to 25th July 2022. 

Patients aged 16 or older, who had an MSK appointment (including initial assessment, follow-ups or group classes) via any method (face-to-face or remote) between 17th January 2022 and 9th April 2022 were eligible for inclusion. All sites offering MSK Physiotherapy under GSTFT were also encompassed in the study. Exclusion criteria included patients without a registered UK mobile number or those who had opted out of Trust surveys.

Consecutive sampling was employed to achieve a heterogeneous sample representative of the population seen within the MSK Physiotherapy department at GSTFT. Recruitment was conducted from a centralised list of MSK patients with subgroup stratification not possible (e.g. patient’s first language). A Disclosure and Barring Service (DBS) check was completed to remove deceased patients.

A survey was developed as there was no appropriate validated tool to collect the required data. The survey included ten closed questions with heterogeneity of question and response type. An open question (question 10) and text-box options for 'other' answers allowed for qualitative insights and unexpected responses. The finalised survey was uploaded to a digital platform, Civica. Civica allowed all questions to be set as mandatory and also retained data from the surveys that were partially completed by participants. On the first page of the survey, a hyperlink directed participants to the Participant Information Sheet (PIS), which provided details about the study and was used to obtain consent. 
The online survey was distributed via text message using a patient engagement platform (Dr Doctor) and remained open for 25 days.

Ethics approval for the service evaluation was granted by the University of Hertfordshire (HSK/PGT/UK/04963). 

2. Methods for processing the data:

Survey results were exported into Microsoft Excel. Quantitative data analysis utilised Excel to analyse all collected data, including partially completed surveys. Descriptive statistics, such as frequencies and counts, were employed as applicable, with no regression analysis performed. Secondary analysis of qualitative open text box entries labelled as ‘other’ was performed alongside another author. 

Reflexive thematic analysis (TA) was completed on the open responses to question 17 in the data set (question 10 in the online survey) using an inductive approach, with a post-positive stance taken. In alignment with reflexive TA, no investigator triangulation was performed on this question. Qualitative data was edited for major spelling and grammatical errors only.  

3. Instrument- or software-specific information needed to interpret the data:

Excel (Microsoft software package, California, USA)

4. Standards and calibration information, if appropriate: n/a

5. Environmental/experimental conditions: n/a

6. Describe any quality-assurance procedures performed on the data: n/a

7. People involved with sample collection, processing, analysis and/or submission: 
Jack Grodon, Chistopher Tack, Laura Eccott, Mindy C Cairns

DATA-SPECIFIC INFORMATION FOR: [DATASETreadme]

1. Number of variables: n/a

2. Number of cases/rows: n/a

3. Variable List: n/a

4. Missing data codes: 
There are no missing data codes

5. Specialized formats or other abbreviations used: n/a