Enabling cross-cultural data pooling in trials: linguistic validation of head and neck cancer measures for Indian patients
- PMID: 33797687
- DOI: 10.1007/s11136-021-02837-x
Enabling cross-cultural data pooling in trials: linguistic validation of head and neck cancer measures for Indian patients
Abstract
Background: Head and neck cancers (HNC) and their treatments cause dysfunction and distress. Ongoing psychological assessment using disease-specific patient-reported measures may optimize clinical decision-making, facilitate interventions to reduce psychosocial burden. As most such measures are developed in English, non-English speaking patients are disadvantaged. This study translated HNC-specific measures (Body Image Scale, Patient Concerns Inventory, Zung's Self-Rating Anxiety and Depression Scales and Patient Health Questionnaire-9) into three Indian languages (Hindi, Tamil and Telugu) and linguistically validated them.
Methods: Translation followed established guidelines on translation and linguistic validation of measures. Process involved two independent forward translations, reconciliation, two independent backward translations by bilingual experts, and cognitive debriefing interviews with nine healthcare professionals (HCPs) and 29 HNC patients. Translated versions were compared with the original versions for semantic, cultural and conceptual equivalence.
Results: Overall, 17 Hindi items, 19 Tamil items and 13 Telugu items were identified to have semantic, cultural and/or conceptual issues. These were resolved to achieve equivalence with the original measures. Interviews with HCPs indicated that equivalent terms for words such as anxiety, panicky, sexuality, and self-conscious might be difficult to understand. Interviews with patients indicated all items were understandable, easy, sensitive, unambiguous and relevant. Hence, no further revisions were made.
Conclusions: The translated Hindi, Tamil and Telugu versions of the Body image scale, Patient concerns inventory, Zung's self-rating anxiety and depression scales and Patient health questionnaire-9 measures are conceptually and linguistically validated and equivalent with the original English versions. Psychometric validation of these measures with relevant patient populations is needed.
Keywords: Cognitive debriefing; Cultural adaptation; Equivalence; Linguistic validation; Patient-reported outcome measures; Translation.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Similar articles
-
Patient-reported anxiety and depression measures for use in Indian head and neck cancer populations: a psychometric evaluation.J Patient Rep Outcomes. 2021 Jun 7;5(1):44. doi: 10.1186/s41687-021-00316-y. J Patient Rep Outcomes. 2021. PMID: 34097161 Free PMC article.
-
Body Image Scale: Evaluation of the Psychometric Properties in Three Indian Head and Neck Cancer Language Groups.Front Psychol. 2022 May 12;13:779850. doi: 10.3389/fpsyg.2022.779850. eCollection 2022. Front Psychol. 2022. PMID: 35645858 Free PMC article.
-
Linguistic validation of the Sexual Inhibition and Sexual Excitation Scales (SIS/SES) translated into five South Asian languages: Oxford Sexual Dysfunction Study (OSDS).BMC Res Notes. 2013 Dec 20;6:550. doi: 10.1186/1756-0500-6-550. BMC Res Notes. 2013. PMID: 24359861 Free PMC article.
-
A systematic review of the psychometric properties of the cross-cultural adaptations and translations of the Prolapse Quality of Life (P-QoL) questionnaire.Int Urogynecol J. 2019 Dec;30(12):1989-2000. doi: 10.1007/s00192-019-03920-1. Epub 2019 Apr 26. Int Urogynecol J. 2019. PMID: 31028420
-
The significance of exploring conceptual equivalence within the process of the cross-cultural adaptation of tools: The case of the Patient's Perception of Feeling Known by their Nurses Scale.J Nurs Scholarsh. 2023 Nov;55(6):1268-1279. doi: 10.1111/jnu.12910. Epub 2023 May 22. J Nurs Scholarsh. 2023. PMID: 37212367 Review.
Cited by
-
Patient-reported anxiety and depression measures for use in Indian head and neck cancer populations: a psychometric evaluation.J Patient Rep Outcomes. 2021 Jun 7;5(1):44. doi: 10.1186/s41687-021-00316-y. J Patient Rep Outcomes. 2021. PMID: 34097161 Free PMC article.
-
The Patient Concerns Inventory in head and neck oncology: a structured review of its development, validation and clinical implications.Eur Arch Otorhinolaryngol. 2022 Nov;279(11):5097-5111. doi: 10.1007/s00405-022-07499-0. Epub 2022 Jul 17. Eur Arch Otorhinolaryngol. 2022. PMID: 35842858 Free PMC article. Review.
-
Body Image Scale: Evaluation of the Psychometric Properties in Three Indian Head and Neck Cancer Language Groups.Front Psychol. 2022 May 12;13:779850. doi: 10.3389/fpsyg.2022.779850. eCollection 2022. Front Psychol. 2022. PMID: 35645858 Free PMC article.
-
Psychometric Evaluation of Patient Health Questionnaire 9 Hindi for Use with Patients with Cancer in Community Palliative Care Settings.Indian J Palliat Care. 2025 Apr-Jun;31(2):177-185. doi: 10.25259/IJPC_250_2024. Epub 2025 Apr 22. Indian J Palliat Care. 2025. PMID: 40837001 Free PMC article.
-
Can machine translation match human expertise? Quantifying the performance of large language models in the translation of patient-reported outcome measures (PROMs).J Patient Rep Outcomes. 2025 Jul 25;9(1):94. doi: 10.1186/s41687-025-00926-w. J Patient Rep Outcomes. 2025. PMID: 40711496 Free PMC article.
References
-
- Vigneswaran, N., & Williams, M. D. (2014). Epidemiologic trends in head and neck cancer and aids in diagnosis. Oral and Maxillofacial Surgery Clinics, 26(2), 123–141. - DOI
-
- Bray, F., et al. (2018). Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 68(6), 394–424.
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials