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Using cognitive interviewing to bridge the intent‐interpretation gap for nutrition coverage survey questions in India

Designing survey questions that clearly and precisely communicate the question's intent and elicit responses based on the intended interpretation is critical but often undervalued. We used cognitive interviewing to qualitatively assess respondents' interpretation of and responses to questi...

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Autores principales: Ashok, Sattvika, Kim, Sunny S., Heidkamp, Rebecca A., Munos, Melinda K., Menon, Purnima, Avula, Rasmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710093/
https://www.ncbi.nlm.nih.gov/pubmed/34431603
http://dx.doi.org/10.1111/mcn.13248
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author Ashok, Sattvika
Kim, Sunny S.
Heidkamp, Rebecca A.
Munos, Melinda K.
Menon, Purnima
Avula, Rasmi
author_facet Ashok, Sattvika
Kim, Sunny S.
Heidkamp, Rebecca A.
Munos, Melinda K.
Menon, Purnima
Avula, Rasmi
author_sort Ashok, Sattvika
collection PubMed
description Designing survey questions that clearly and precisely communicate the question's intent and elicit responses based on the intended interpretation is critical but often undervalued. We used cognitive interviewing to qualitatively assess respondents' interpretation of and responses to questions pertaining to maternal and child nutrition intervention coverage. We conducted interviews to cognitively test 25 survey questions with mothers (N = 21) with children less than 1 year in Madhya Pradesh, India. Each question was followed by probes to capture information on four cognitive stages—comprehension, retrieval, judgement, and response. Data were analysed for common and unique patterns across the survey questions. We identified four types of cognitive challenges: (1) retention of multiple concepts in long questions: difficulty in comprehending and retaining questions with three or more key concepts; (2) temporal confusion: difficulty in conceptualizing recall periods such as “in the last 6 months” as compared to life stages such as pregnancy; (3) interpretation of concepts: mismatch of information being asked, meaning of certain terms and intervention scope; and (4) understanding of technical terms: difficulty in understanding commonly used technical words such as “breastfeeding” and “antenatal care” and requiring use of simple alternative language. Findings from this study will be useful for stakeholders involved in survey design and implementation, especially those conducting large‐scale household surveys to measure coverage of essential nutrition interventions.
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spelling pubmed-87100932022-01-04 Using cognitive interviewing to bridge the intent‐interpretation gap for nutrition coverage survey questions in India Ashok, Sattvika Kim, Sunny S. Heidkamp, Rebecca A. Munos, Melinda K. Menon, Purnima Avula, Rasmi Matern Child Nutr Original Articles Designing survey questions that clearly and precisely communicate the question's intent and elicit responses based on the intended interpretation is critical but often undervalued. We used cognitive interviewing to qualitatively assess respondents' interpretation of and responses to questions pertaining to maternal and child nutrition intervention coverage. We conducted interviews to cognitively test 25 survey questions with mothers (N = 21) with children less than 1 year in Madhya Pradesh, India. Each question was followed by probes to capture information on four cognitive stages—comprehension, retrieval, judgement, and response. Data were analysed for common and unique patterns across the survey questions. We identified four types of cognitive challenges: (1) retention of multiple concepts in long questions: difficulty in comprehending and retaining questions with three or more key concepts; (2) temporal confusion: difficulty in conceptualizing recall periods such as “in the last 6 months” as compared to life stages such as pregnancy; (3) interpretation of concepts: mismatch of information being asked, meaning of certain terms and intervention scope; and (4) understanding of technical terms: difficulty in understanding commonly used technical words such as “breastfeeding” and “antenatal care” and requiring use of simple alternative language. Findings from this study will be useful for stakeholders involved in survey design and implementation, especially those conducting large‐scale household surveys to measure coverage of essential nutrition interventions. John Wiley and Sons Inc. 2021-08-25 /pmc/articles/PMC8710093/ /pubmed/34431603 http://dx.doi.org/10.1111/mcn.13248 Text en © 2021 The Authors. Maternal & Child Nutrition published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Ashok, Sattvika
Kim, Sunny S.
Heidkamp, Rebecca A.
Munos, Melinda K.
Menon, Purnima
Avula, Rasmi
Using cognitive interviewing to bridge the intent‐interpretation gap for nutrition coverage survey questions in India
title Using cognitive interviewing to bridge the intent‐interpretation gap for nutrition coverage survey questions in India
title_full Using cognitive interviewing to bridge the intent‐interpretation gap for nutrition coverage survey questions in India
title_fullStr Using cognitive interviewing to bridge the intent‐interpretation gap for nutrition coverage survey questions in India
title_full_unstemmed Using cognitive interviewing to bridge the intent‐interpretation gap for nutrition coverage survey questions in India
title_short Using cognitive interviewing to bridge the intent‐interpretation gap for nutrition coverage survey questions in India
title_sort using cognitive interviewing to bridge the intent‐interpretation gap for nutrition coverage survey questions in india
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710093/
https://www.ncbi.nlm.nih.gov/pubmed/34431603
http://dx.doi.org/10.1111/mcn.13248
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