Gathering and utilising musculoskeletal data from private physiotherapists to demonstrate the value of their services

a UK based project

Liz Bryant, Shemane Murtagh, George Olivier, Sandy Lewis, Ann Moore

Research output: Contribution to conferenceAbstractResearchpeer-review

Abstract

Background: Clinicians are increasingly aware of the need to demonstrate and account for the delivery and quality of their clinical services. Standardised data collection (SDC) systems can be used to gather this information in a robust and accessible way. Physio First (the Organisation for Chartered Physiotherapists in Private Practice) commissioned the University to set up and maintain an online SDC system for their members. Purpose: To provide detailed information about current practice, patient demographics and outcome of care for patients with musculoskeletal (MSK) conditions treated within private physiotherapy clinics. Methods: All Physio First members who treat MSK patients in the UK could register for this project. Practitioners were asked to input data on newly referred MSK patients using the online SDC system. Data collected included patient details; diagnosis; body site & symptoms; referral source; treatment and discharge information (i.e. outcome of referral, goal achievement). The national dataset is downloaded and analysed three times a year by the University. All practitioners who input sufficient datasets receive an individualised report showing how their data compares to the national dataset, and Physio First receive a report of the combined anonymised national data. Results: 567 practitioners were recruited to the project. 32,469 patient records were uploaded between November 2014 and May 2018. The number of records input per practitioner varied depending when practitioners were recruited to the study. The mean age of all patients was 51.6 years ± 17.7 years. The majority of patients were ‘self-referred’ (74.6%), and paid for their own treatment (73.2%). More than half the patients (62.4%) were treated within 2 days of contact; with most patients (91.6%) treated within one week of contact. 90.2% of patients received three or more treatment modalities in the initial treatment session. The number of treatments per episode ranged between 1 and 10; the average number was 3.4 (SD 2.3). Goal achievement at discharge was achieved (significantly, fully or exceeded) for 77.4% of patients; goals were not achieved in 4.2% of patients. Improvements in physical/functional outcome scores were observed with a reduction in score from 5.6 (SD 1.8) initially to 2.6 (SD 1.6) on discharge. Only a small number of patients were unable to return to work following treatment (1.1%), or returned to work on restricted duties (3.6%). Practitioners reported in spite of the increased workload and time to collect the data, participating in the project had stimulated reflective practice, helped identify strengths and weaknesses and provided useful data for business management. Conclusion: SDC provides physiotherapists, clinics and organisations with useful information in terms of patient profiling, marketing, evidence of outcomes, benchmarking and identifying areas for personal learning and professional development. Current work includes the introduction of a validated online patient reported outcome measure (PROM) which will provide additional information about effectiveness and quality of care. Implications: Physio First and their clinicians have a growing database of patient data to demonstrate the value of their physiotherapy services. This is an ongoing project; the introduction of PROM data will further support them in the healthcare market.
Original languageEnglish
Publication statusAccepted/In press - 2019
EventWorld Confederation of Physical Therapy 2019: WCPT 2019 - Palexpo Geneve, Geneva, Switzerland
Duration: 11 May 201913 May 2019
https://www.wcpt.org/wcpt2019

Conference

ConferenceWorld Confederation of Physical Therapy 2019
Abbreviated titleWCPT 2019
CountrySwitzerland
CityGeneva
Period11/05/1913/05/19
Internet address

Fingerprint

Physical Therapists
Information Systems
Therapeutics
Referral and Consultation
Organizations
Benchmarking
Health Care Sector
Return to Work
Quality of Health Care
Private Practice
Marketing
Workload

Keywords

  • musculoskeletal
  • physiotherapists
  • Standardised data collection
  • private practice

Cite this

Bryant, L., Murtagh, S., Olivier, G., Lewis, S., & Moore, A. (Accepted/In press). Gathering and utilising musculoskeletal data from private physiotherapists to demonstrate the value of their services: a UK based project. Abstract from World Confederation of Physical Therapy 2019, Geneva, Switzerland.
@conference{02d7e1356f24432cb05c0517b3a32746,
title = "Gathering and utilising musculoskeletal data from private physiotherapists to demonstrate the value of their services: a UK based project",
abstract = "Background: Clinicians are increasingly aware of the need to demonstrate and account for the delivery and quality of their clinical services. Standardised data collection (SDC) systems can be used to gather this information in a robust and accessible way. Physio First (the Organisation for Chartered Physiotherapists in Private Practice) commissioned the University to set up and maintain an online SDC system for their members. Purpose: To provide detailed information about current practice, patient demographics and outcome of care for patients with musculoskeletal (MSK) conditions treated within private physiotherapy clinics. Methods: All Physio First members who treat MSK patients in the UK could register for this project. Practitioners were asked to input data on newly referred MSK patients using the online SDC system. Data collected included patient details; diagnosis; body site & symptoms; referral source; treatment and discharge information (i.e. outcome of referral, goal achievement). The national dataset is downloaded and analysed three times a year by the University. All practitioners who input sufficient datasets receive an individualised report showing how their data compares to the national dataset, and Physio First receive a report of the combined anonymised national data. Results: 567 practitioners were recruited to the project. 32,469 patient records were uploaded between November 2014 and May 2018. The number of records input per practitioner varied depending when practitioners were recruited to the study. The mean age of all patients was 51.6 years ± 17.7 years. The majority of patients were ‘self-referred’ (74.6{\%}), and paid for their own treatment (73.2{\%}). More than half the patients (62.4{\%}) were treated within 2 days of contact; with most patients (91.6{\%}) treated within one week of contact. 90.2{\%} of patients received three or more treatment modalities in the initial treatment session. The number of treatments per episode ranged between 1 and 10; the average number was 3.4 (SD 2.3). Goal achievement at discharge was achieved (significantly, fully or exceeded) for 77.4{\%} of patients; goals were not achieved in 4.2{\%} of patients. Improvements in physical/functional outcome scores were observed with a reduction in score from 5.6 (SD 1.8) initially to 2.6 (SD 1.6) on discharge. Only a small number of patients were unable to return to work following treatment (1.1{\%}), or returned to work on restricted duties (3.6{\%}). Practitioners reported in spite of the increased workload and time to collect the data, participating in the project had stimulated reflective practice, helped identify strengths and weaknesses and provided useful data for business management. Conclusion: SDC provides physiotherapists, clinics and organisations with useful information in terms of patient profiling, marketing, evidence of outcomes, benchmarking and identifying areas for personal learning and professional development. Current work includes the introduction of a validated online patient reported outcome measure (PROM) which will provide additional information about effectiveness and quality of care. Implications: Physio First and their clinicians have a growing database of patient data to demonstrate the value of their physiotherapy services. This is an ongoing project; the introduction of PROM data will further support them in the healthcare market.",
keywords = "musculoskeletal, physiotherapists, Standardised data collection, private practice",
author = "Liz Bryant and Shemane Murtagh and George Olivier and Sandy Lewis and Ann Moore",
year = "2019",
language = "English",
note = "World Confederation of Physical Therapy 2019 : WCPT 2019, WCPT 2019 ; Conference date: 11-05-2019 Through 13-05-2019",
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Bryant, L, Murtagh, S, Olivier, G, Lewis, S & Moore, A 2019, 'Gathering and utilising musculoskeletal data from private physiotherapists to demonstrate the value of their services: a UK based project' World Confederation of Physical Therapy 2019, Geneva, Switzerland, 11/05/19 - 13/05/19, .

Gathering and utilising musculoskeletal data from private physiotherapists to demonstrate the value of their services : a UK based project. / Bryant, Liz; Murtagh, Shemane; Olivier, George; Lewis, Sandy; Moore, Ann.

2019. Abstract from World Confederation of Physical Therapy 2019, Geneva, Switzerland.

Research output: Contribution to conferenceAbstractResearchpeer-review

TY - CONF

T1 - Gathering and utilising musculoskeletal data from private physiotherapists to demonstrate the value of their services

T2 - a UK based project

AU - Bryant, Liz

AU - Murtagh, Shemane

AU - Olivier, George

AU - Lewis, Sandy

AU - Moore, Ann

PY - 2019

Y1 - 2019

N2 - Background: Clinicians are increasingly aware of the need to demonstrate and account for the delivery and quality of their clinical services. Standardised data collection (SDC) systems can be used to gather this information in a robust and accessible way. Physio First (the Organisation for Chartered Physiotherapists in Private Practice) commissioned the University to set up and maintain an online SDC system for their members. Purpose: To provide detailed information about current practice, patient demographics and outcome of care for patients with musculoskeletal (MSK) conditions treated within private physiotherapy clinics. Methods: All Physio First members who treat MSK patients in the UK could register for this project. Practitioners were asked to input data on newly referred MSK patients using the online SDC system. Data collected included patient details; diagnosis; body site & symptoms; referral source; treatment and discharge information (i.e. outcome of referral, goal achievement). The national dataset is downloaded and analysed three times a year by the University. All practitioners who input sufficient datasets receive an individualised report showing how their data compares to the national dataset, and Physio First receive a report of the combined anonymised national data. Results: 567 practitioners were recruited to the project. 32,469 patient records were uploaded between November 2014 and May 2018. The number of records input per practitioner varied depending when practitioners were recruited to the study. The mean age of all patients was 51.6 years ± 17.7 years. The majority of patients were ‘self-referred’ (74.6%), and paid for their own treatment (73.2%). More than half the patients (62.4%) were treated within 2 days of contact; with most patients (91.6%) treated within one week of contact. 90.2% of patients received three or more treatment modalities in the initial treatment session. The number of treatments per episode ranged between 1 and 10; the average number was 3.4 (SD 2.3). Goal achievement at discharge was achieved (significantly, fully or exceeded) for 77.4% of patients; goals were not achieved in 4.2% of patients. Improvements in physical/functional outcome scores were observed with a reduction in score from 5.6 (SD 1.8) initially to 2.6 (SD 1.6) on discharge. Only a small number of patients were unable to return to work following treatment (1.1%), or returned to work on restricted duties (3.6%). Practitioners reported in spite of the increased workload and time to collect the data, participating in the project had stimulated reflective practice, helped identify strengths and weaknesses and provided useful data for business management. Conclusion: SDC provides physiotherapists, clinics and organisations with useful information in terms of patient profiling, marketing, evidence of outcomes, benchmarking and identifying areas for personal learning and professional development. Current work includes the introduction of a validated online patient reported outcome measure (PROM) which will provide additional information about effectiveness and quality of care. Implications: Physio First and their clinicians have a growing database of patient data to demonstrate the value of their physiotherapy services. This is an ongoing project; the introduction of PROM data will further support them in the healthcare market.

AB - Background: Clinicians are increasingly aware of the need to demonstrate and account for the delivery and quality of their clinical services. Standardised data collection (SDC) systems can be used to gather this information in a robust and accessible way. Physio First (the Organisation for Chartered Physiotherapists in Private Practice) commissioned the University to set up and maintain an online SDC system for their members. Purpose: To provide detailed information about current practice, patient demographics and outcome of care for patients with musculoskeletal (MSK) conditions treated within private physiotherapy clinics. Methods: All Physio First members who treat MSK patients in the UK could register for this project. Practitioners were asked to input data on newly referred MSK patients using the online SDC system. Data collected included patient details; diagnosis; body site & symptoms; referral source; treatment and discharge information (i.e. outcome of referral, goal achievement). The national dataset is downloaded and analysed three times a year by the University. All practitioners who input sufficient datasets receive an individualised report showing how their data compares to the national dataset, and Physio First receive a report of the combined anonymised national data. Results: 567 practitioners were recruited to the project. 32,469 patient records were uploaded between November 2014 and May 2018. The number of records input per practitioner varied depending when practitioners were recruited to the study. The mean age of all patients was 51.6 years ± 17.7 years. The majority of patients were ‘self-referred’ (74.6%), and paid for their own treatment (73.2%). More than half the patients (62.4%) were treated within 2 days of contact; with most patients (91.6%) treated within one week of contact. 90.2% of patients received three or more treatment modalities in the initial treatment session. The number of treatments per episode ranged between 1 and 10; the average number was 3.4 (SD 2.3). Goal achievement at discharge was achieved (significantly, fully or exceeded) for 77.4% of patients; goals were not achieved in 4.2% of patients. Improvements in physical/functional outcome scores were observed with a reduction in score from 5.6 (SD 1.8) initially to 2.6 (SD 1.6) on discharge. Only a small number of patients were unable to return to work following treatment (1.1%), or returned to work on restricted duties (3.6%). Practitioners reported in spite of the increased workload and time to collect the data, participating in the project had stimulated reflective practice, helped identify strengths and weaknesses and provided useful data for business management. Conclusion: SDC provides physiotherapists, clinics and organisations with useful information in terms of patient profiling, marketing, evidence of outcomes, benchmarking and identifying areas for personal learning and professional development. Current work includes the introduction of a validated online patient reported outcome measure (PROM) which will provide additional information about effectiveness and quality of care. Implications: Physio First and their clinicians have a growing database of patient data to demonstrate the value of their physiotherapy services. This is an ongoing project; the introduction of PROM data will further support them in the healthcare market.

KW - musculoskeletal

KW - physiotherapists

KW - Standardised data collection

KW - private practice

M3 - Abstract

ER -