The University of Southampton
University of Southampton Institutional Repository

Communicating safety-netting information in primary care physiotherapy consultations for people with low back pain

Communicating safety-netting information in primary care physiotherapy consultations for people with low back pain
Communicating safety-netting information in primary care physiotherapy consultations for people with low back pain

Background: Safety-netting involves communicating information to patients about diagnostic uncertainty, the likely time-course of their condition and how to appropriately seek help from a healthcare professional if their condition persists or worsens. Little is known about how physiotherapists communicate safety-netting information to people with low back pain (LBP). Objectives: This research aimed to use a Safety-Netting Coding Tool (SaNCoT) to explore how physiotherapists communicate safety-netting information to people with LBP. Methods: The SaNCoT was used to conduct a secondary analysis of audio-recordings and transcripts from 79 primary care physiotherapy consultations (41 initial and 38 follow-up) involving 12 physiotherapists and 41 patients with LBP in Southern England. Quantitative data from the SaNCoT were analysed descriptively. Findings: The study found evidence of diagnostic uncertainty in 53 (67%) appointments and no examples of physiotherapists providing patients with specific information about their condition time-course. Eight patients were given safety-netting advice, but most (57.9%, n = 11) episodes of safety-netting advice did not include specific signs and symptoms for patients to monitor. Potential missed opportunities for safety-netting advice were identified in 19 appointments (24.1%) which tended to relate to the patient's associated leg symptoms but also included possible serious pathology. Conclusion: The SaNCoT was successfully used to measure safety-netting communication within physiotherapy consultations and found missed opportunities for providing clear safety-netting advice. Physiotherapists can use the findings to reflect on how they can provide clear safety-netting information to patients with LBP to effectively support patients to self-manage and help them seek appropriate care if their condition deteriorates.

Communication, Diagnostic uncertainty, Low back pain, Physiotherapy, Primary care, Safety-netting
2468-7812
Horler, Chris
745f37c7-9935-4239-9f9f-66a3c77918c3
Leydon, Geraldine
c5cdaff5-0fa1-4d38-b575-b97c2892ec40
Roberts, Lisa
0a937943-5246-4877-bd6b-4dcd172b5cd0
Horler, Chris
745f37c7-9935-4239-9f9f-66a3c77918c3
Leydon, Geraldine
c5cdaff5-0fa1-4d38-b575-b97c2892ec40
Roberts, Lisa
0a937943-5246-4877-bd6b-4dcd172b5cd0

Horler, Chris, Leydon, Geraldine and Roberts, Lisa (2024) Communicating safety-netting information in primary care physiotherapy consultations for people with low back pain. Musculoskeletal Science and Practice, 74, [103192]. (doi:10.1016/j.msksp.2024.103192).

Record type: Article

Abstract

Background: Safety-netting involves communicating information to patients about diagnostic uncertainty, the likely time-course of their condition and how to appropriately seek help from a healthcare professional if their condition persists or worsens. Little is known about how physiotherapists communicate safety-netting information to people with low back pain (LBP). Objectives: This research aimed to use a Safety-Netting Coding Tool (SaNCoT) to explore how physiotherapists communicate safety-netting information to people with LBP. Methods: The SaNCoT was used to conduct a secondary analysis of audio-recordings and transcripts from 79 primary care physiotherapy consultations (41 initial and 38 follow-up) involving 12 physiotherapists and 41 patients with LBP in Southern England. Quantitative data from the SaNCoT were analysed descriptively. Findings: The study found evidence of diagnostic uncertainty in 53 (67%) appointments and no examples of physiotherapists providing patients with specific information about their condition time-course. Eight patients were given safety-netting advice, but most (57.9%, n = 11) episodes of safety-netting advice did not include specific signs and symptoms for patients to monitor. Potential missed opportunities for safety-netting advice were identified in 19 appointments (24.1%) which tended to relate to the patient's associated leg symptoms but also included possible serious pathology. Conclusion: The SaNCoT was successfully used to measure safety-netting communication within physiotherapy consultations and found missed opportunities for providing clear safety-netting advice. Physiotherapists can use the findings to reflect on how they can provide clear safety-netting information to patients with LBP to effectively support patients to self-manage and help them seek appropriate care if their condition deteriorates.

Text
1-s2.0-S246878122400287X-main - Version of Record
Available under License Creative Commons Attribution.
Download (610kB)

More information

Accepted/In Press date: 18 September 2024
Published date: 1 November 2024
Additional Information: Publisher Copyright: © 2024 The Authors
Keywords: Communication, Diagnostic uncertainty, Low back pain, Physiotherapy, Primary care, Safety-netting

Identifiers

Local EPrints ID: 496538
URI: http://eprints.soton.ac.uk/id/eprint/496538
ISSN: 2468-7812
PURE UUID: 6c52e0ca-f4ee-4924-8183-6bde08b66b3d
ORCID for Chris Horler: ORCID iD orcid.org/0000-0001-7578-4004
ORCID for Geraldine Leydon: ORCID iD orcid.org/0000-0001-5986-3300
ORCID for Lisa Roberts: ORCID iD orcid.org/0000-0003-2662-6696

Catalogue record

Date deposited: 17 Dec 2024 17:53
Last modified: 18 Dec 2024 03:19

Export record

Altmetrics

Contributors

Author: Chris Horler ORCID iD
Author: Lisa Roberts ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×