Potter, Rachel, Hee, Siew Wan, Griffiths, Frances, Dodd, Katherine, Hoverd, Eleanor, Underwood, Martin and Matharu, Manjit (2019) Development and validation of a telephone classification interview for common chronic headache disorders. Journal of Headache and Pain, 20 . 2 . doi:10.1186/s10194-018-0954-z ISSN 1129-2369.

Preview	PDF WRAP_development-validation-telephone-classification-interview-common-chronic-headache-disorders-Potter-2019.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (1746Kb) | Preview
	PDF WRAP-development-validation-telephone-classification-chronic-Hee-2018.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (721Kb)

Request Changes to record.

Abstract

Background

For a trial of supportive self-management for people with chronic headache we needed to develop and validate a telephone classification interview that can be used by a non-headache specialist to classify common chronic headache types in primary care. We aimed to specifically: exclude secondary headaches other than medication overuse, exclude primary headache disorders other than migraine and tension type headache (TTH), distinguish between chronic migraine and chronic TTH, and identify medication overuse headache.
Methods

We held a headache classification consensus conference to draw on evidence and expertise to inform the content of a logic model underpinning the classification interview. Nurses trained to use the logic model did telephone classification interviews with participants recruited from primary care. Doctors specialising in headache did a second validation interview.
Results

Twenty-six delegates attended the headache classification conference including headache specialist doctors, nurses and lay representatives (with chronic headache). We trained six nurses to do the classification interviews and completed 107 paired interviews, median days between interviews was 32 days (interquartile range 21–48 days). We measured level of agreement between the nurse and doctor interviews using proportion of concordance, simple kappa and prevalence-adjusted bias-adjusted kappa (PABAK). Proportion of concordance of agreement between nurse and doctor interviews was 0.76, simple kappa coefficient κ 0.31 (95% CI, 0.09 to 0.52), and PABAK 0.51 (95% CI, 0.35 to 0.68), a moderate agreement. In a sensitivity test following review of headache characteristics recorded, concordance was 0.91, κ = 0.53 (95% CI, 0.28 to 0.79), and PABAK = 0.81 (95% CI, 0.70 to 0.92), a very good agreement.
Conclusion

We developed and validated a new evidence-based telephone classification interview that can be used by a non-headache specialist to classify common chronic headache types in primary care.

Item Type:	Journal Article
Divisions:	Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Clinical Trials Unit Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
Journal or Publication Title:	Journal of Headache and Pain
Publisher:	BMC
ISSN:	1129-2369
Official Date:	8 January 2019
Dates:	Date Event 8 January 2019 Available 20 December 2018 Accepted
Volume:	20
Article Number:	2
DOI:	10.1186/s10194-018-0954-z
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Date of first compliant deposit:	2 January 2019
Date of first compliant Open Access:	1 February 2019
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID RP-PG-1212-20018 [NIHR] National Institute for Health Research http://dx.doi.org/10.13039/501100000272

Request changes or add full text files to a record

Repository staff actions (login required)

View Item

Downloads