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Development and validation of a telephone classification interview for common chronic headache disorders

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 sec...

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Autores principales: Potter, Rachel, Hee, Siew Wan, Griffiths, Frances, Dodd, Katherine, Hoverd, Eleanor, Underwood, Martin, Matharu, Manjit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734413/
https://www.ncbi.nlm.nih.gov/pubmed/30621592
http://dx.doi.org/10.1186/s10194-018-0954-z
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author Potter, Rachel
Hee, Siew Wan
Griffiths, Frances
Dodd, Katherine
Hoverd, Eleanor
Underwood, Martin
Matharu, Manjit
author_facet Potter, Rachel
Hee, Siew Wan
Griffiths, Frances
Dodd, Katherine
Hoverd, Eleanor
Underwood, Martin
Matharu, Manjit
author_sort Potter, Rachel
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s10194-018-0954-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-67344132019-09-12 Development and validation of a telephone classification interview for common chronic headache disorders Potter, Rachel Hee, Siew Wan Griffiths, Frances Dodd, Katherine Hoverd, Eleanor Underwood, Martin Matharu, Manjit J Headache Pain Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s10194-018-0954-z) contains supplementary material, which is available to authorized users. Springer Milan 2019-01-08 /pmc/articles/PMC6734413/ /pubmed/30621592 http://dx.doi.org/10.1186/s10194-018-0954-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Potter, Rachel
Hee, Siew Wan
Griffiths, Frances
Dodd, Katherine
Hoverd, Eleanor
Underwood, Martin
Matharu, Manjit
Development and validation of a telephone classification interview for common chronic headache disorders
title Development and validation of a telephone classification interview for common chronic headache disorders
title_full Development and validation of a telephone classification interview for common chronic headache disorders
title_fullStr Development and validation of a telephone classification interview for common chronic headache disorders
title_full_unstemmed Development and validation of a telephone classification interview for common chronic headache disorders
title_short Development and validation of a telephone classification interview for common chronic headache disorders
title_sort development and validation of a telephone classification interview for common chronic headache disorders
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734413/
https://www.ncbi.nlm.nih.gov/pubmed/30621592
http://dx.doi.org/10.1186/s10194-018-0954-z
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