What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic review
Abstract 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 chal...
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doaj-25e4206a7fd7445d99faf08a2748602c2020-11-25T03:23:31ZengSpringerOpenJournal of Patient-Reported Outcomes2509-80202020-04-014111410.1186/s41687-020-00189-7What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic reviewChindhu Shunmugasundaram0Claudia Rutherford1Phyllis N. Butow2Puma Sundaresan3Haryana M. Dhillon4University of Sydney, School of Psychology, Centre for Medical Psychology and Evidence-Based Decision-MakingUniversity of Sydney, School of Psychology, Quality of Life OfficeUniversity of Sydney, School of Psychology, Centre for Medical Psychology and Evidence-Based Decision-MakingRadiation Oncology Network, Western Sydney Local Health DistrictUniversity of Sydney, School of Psychology, Centre for Medical Psychology and Evidence-Based Decision-MakingAbstract 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.http://link.springer.com/article/10.1186/s41687-020-00189-7AnxietyDepressionPsychological distressHead and neck cancerSystematic reviewPatient reported outcome measures |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chindhu Shunmugasundaram Claudia Rutherford Phyllis N. Butow Puma Sundaresan Haryana M. Dhillon |
spellingShingle |
Chindhu Shunmugasundaram Claudia Rutherford Phyllis N. Butow Puma Sundaresan Haryana M. Dhillon What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic review Journal of Patient-Reported Outcomes Anxiety Depression Psychological distress Head and neck cancer Systematic review Patient reported outcome measures |
author_facet |
Chindhu Shunmugasundaram Claudia Rutherford Phyllis N. Butow Puma Sundaresan Haryana M. Dhillon |
author_sort |
Chindhu Shunmugasundaram |
title |
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_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_sort |
what are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (hnc): a systematic review |
publisher |
SpringerOpen |
series |
Journal of Patient-Reported Outcomes |
issn |
2509-8020 |
publishDate |
2020-04-01 |
description |
Abstract 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. |
topic |
Anxiety Depression Psychological distress Head and neck cancer Systematic review Patient reported outcome measures |
url |
http://link.springer.com/article/10.1186/s41687-020-00189-7 |
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