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What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic review
BACKGROUND: A cancer diagnosis is potentially life-threatening, likely causing distress and uncertainty, which may be psychologically debilitating. Depression and anxiety are commonly underdiagnosed and undertreated in cancer patients. Head and neck cancer (HNC) patients face particular challenges t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181465/ https://www.ncbi.nlm.nih.gov/pubmed/32328839 http://dx.doi.org/10.1186/s41687-020-00189-7 |
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author | Shunmugasundaram, Chindhu Rutherford, Claudia Butow, Phyllis N. Sundaresan, Puma Dhillon, Haryana M. |
author_facet | Shunmugasundaram, Chindhu Rutherford, Claudia Butow, Phyllis N. Sundaresan, Puma Dhillon, Haryana M. |
author_sort | Shunmugasundaram, Chindhu |
collection | PubMed |
description | BACKGROUND: A cancer diagnosis is potentially life-threatening, likely causing distress and uncertainty, which may be psychologically debilitating. Depression and anxiety are commonly underdiagnosed and undertreated in cancer patients. Head and neck cancer (HNC) patients face particular challenges that may contribute to distress. This review aims to: i) identify patient reported outcome measures (PROMs) designed to assess anxiety and depression in HNC; and ii) determine their suitability for use in research and clinical practice to screen patients. METHODS: We searched five electronic databases between July 2007 to July 2019 for studies assessing anxiety and depression in HNC patients. Searches were limited to this period to account for advances in cancer treatment. Records were screened for eligibility by one reviewer and 10% cross-checked by a second across all stages of the review. In addition to the electronic searches, PROM databases were searched for additional measures of anxiety and depression. All retrieved PROMs were mapped against Diagnostic and Statistical Manual-5 criteria for anxiety and depression to assess content coverage. Then, their psychometric properties appraised against the COSMIN checklist. RESULTS: Electronic searches identified 98 records, from which five anxiety and eight depression measures were retrieved. PROM database searches retrieved an additional four anxiety and four depression measures; a total of nine anxiety and 12 depression measures were appraised. Content coverage of anxiety measures ranged from 50% to 75% and depression measures from 42% to 100%. Demonstration of psychometric properties against COSMIN criteria ranged from 57% to 71% for anxiety measures (three PROMs > 70%) and from 29% to 86% for depression measures (nine PROMs > 70%). Three anxiety and seven depression measures had established clinical cut-offs in cancer populations. CONCLUSIONS: The Patient Health Questionnaire-9, Zung Self-rating Depression and Zung Self-rating Anxiety Scales demonstrated good content coverage along with excellent psychometric properties, and thus were considered the most suitable PROMs to assess psychological distress in HNC populations. It is important to have PROMs assessing psychological distress that capture a comprehensive set of subjective symptoms. The identified PROMs will help researchers and health professionals in clinical-decision making, thereby potentially improving quality of life in HNC patients. |
format | Online Article Text |
id | pubmed-7181465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-71814652020-04-29 What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic review Shunmugasundaram, Chindhu Rutherford, Claudia Butow, Phyllis N. Sundaresan, Puma Dhillon, Haryana M. J Patient Rep Outcomes Review BACKGROUND: A cancer diagnosis is potentially life-threatening, likely causing distress and uncertainty, which may be psychologically debilitating. Depression and anxiety are commonly underdiagnosed and undertreated in cancer patients. Head and neck cancer (HNC) patients face particular challenges that may contribute to distress. This review aims to: i) identify patient reported outcome measures (PROMs) designed to assess anxiety and depression in HNC; and ii) determine their suitability for use in research and clinical practice to screen patients. METHODS: We searched five electronic databases between July 2007 to July 2019 for studies assessing anxiety and depression in HNC patients. Searches were limited to this period to account for advances in cancer treatment. Records were screened for eligibility by one reviewer and 10% cross-checked by a second across all stages of the review. In addition to the electronic searches, PROM databases were searched for additional measures of anxiety and depression. All retrieved PROMs were mapped against Diagnostic and Statistical Manual-5 criteria for anxiety and depression to assess content coverage. Then, their psychometric properties appraised against the COSMIN checklist. RESULTS: Electronic searches identified 98 records, from which five anxiety and eight depression measures were retrieved. PROM database searches retrieved an additional four anxiety and four depression measures; a total of nine anxiety and 12 depression measures were appraised. Content coverage of anxiety measures ranged from 50% to 75% and depression measures from 42% to 100%. Demonstration of psychometric properties against COSMIN criteria ranged from 57% to 71% for anxiety measures (three PROMs > 70%) and from 29% to 86% for depression measures (nine PROMs > 70%). Three anxiety and seven depression measures had established clinical cut-offs in cancer populations. CONCLUSIONS: The Patient Health Questionnaire-9, Zung Self-rating Depression and Zung Self-rating Anxiety Scales demonstrated good content coverage along with excellent psychometric properties, and thus were considered the most suitable PROMs to assess psychological distress in HNC populations. It is important to have PROMs assessing psychological distress that capture a comprehensive set of subjective symptoms. The identified PROMs will help researchers and health professionals in clinical-decision making, thereby potentially improving quality of life in HNC patients. Springer International Publishing 2020-04-23 /pmc/articles/PMC7181465/ /pubmed/32328839 http://dx.doi.org/10.1186/s41687-020-00189-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Shunmugasundaram, Chindhu Rutherford, Claudia Butow, Phyllis N. Sundaresan, Puma Dhillon, Haryana M. What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic review |
title | What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic review |
title_full | What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic review |
title_fullStr | What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic review |
title_full_unstemmed | What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic review |
title_short | What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic review |
title_sort | what are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (hnc): a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181465/ https://www.ncbi.nlm.nih.gov/pubmed/32328839 http://dx.doi.org/10.1186/s41687-020-00189-7 |
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