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Gepubliceerd in: Quality of Life Research 9/2021

02-04-2021

Enabling cross-cultural data pooling in trials: linguistic validation of head and neck cancer measures for Indian patients

Auteurs: Chindhu Shunmugasundaram, Haryana M. Dhillon, Phyllis N. Butow, Puma Sundaresan, Claudia Rutherford

Gepubliceerd in: Quality of Life Research | Uitgave 9/2021

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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.
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Metagegevens
Titel
Enabling cross-cultural data pooling in trials: linguistic validation of head and neck cancer measures for Indian patients
Auteurs
Chindhu Shunmugasundaram
Haryana M. Dhillon
Phyllis N. Butow
Puma Sundaresan
Claudia Rutherford
Publicatiedatum
02-04-2021
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 9/2021
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-021-02837-x