ArticleHealth policy and planning2020
Yes, no, maybe so: the importance of cognitive interviewing to enhance structured surveys on respectful maternity care in northern India.
Article in Health policy and planning, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Women's reported experience of respectful maternity care measures worldwide: a systematic review.BMC public health · 2026Pooled it
- The impact of a direct to beneficiary mobile communication program on reproductive and child health outcomes: a randomised controlled trial in India.BMJ global health · 2022Trial
- Enhancing Face Validity Using Cognitive Interviewing Techniques: Applying Tourangeau's Framework to the Nursing Talent Identification Scale.Journal of caring sciences · 2026Article
- "Please speak in Hindi": Cognitive interviews to improve measurement of digital access in North India.PloS one · 2026Article
- Development and Validation of the Agency in Contraceptive Decisions Scale in Uganda and Nigeria.Studies in family planning · 2025Article
- Resilience measurement for environmental shocks and stressors: scale development and psychometric assessment for coastal urban informal settlements in Fiji and Indonesia.BMC global and public health · 2025Article
- A Pilot Study of Menstrual Health Education, Attitudes, and Product Access in Rural Honduras.International journal of environmental research and public health · 2025Article
- Cognitive Interviewing to Improve Infant and Young Child Dietary Assessments in the Nepal Demographic and Health Survey.Current developments in nutrition · 2025Article
- 'Global health action · 2024Article
- Cognitive testing in 19 countries to refine WHO's Sexual Health Assessment of Practices and Experiences.Bulletin of the World Health Organization · 2024Article
- Investigating market-based opportunities for the provision of nutritious and safe diets to prevent childhood stunting: a UKRI-GCRF action against stunting hub protocol paper.BMJ paediatrics open · 2024Article
- Translating the consent form is the tip of the iceberg: using cognitive interviews to assess the barriers to informed consent in South African health facilities.Sexual and reproductive health matters · 2023Article
- Cultural adaptation of the person-centered maternity care scale at governmental health facilities in Cambodia.PloS one · 2023Article
- Exploring women's experiences during childbirth in health facilities during COVID-19 pandemic in occupied palestinian territory: a cross-sectional community survey.BMC pregnancy and childbirth · 2022Article
- Revising the Diabetes Distress Scale for Use Among Adults in the Dominican Republic: Findings From Cognitive Interviews.The science of diabetes self-management and care · 2022Article
- Integrated delivery of family planning and childhood immunisation services: a mixed methods assessment of service responsiveness.BMC health services research · 2022Article
- Article
- Adolescent experiences of mistreatment during childbirth in health facilities: secondary analysis of a community-based survey in four countries.BMJ global health · 2022Article
- Using cognitive interviewing to bridge the intent-interpretation gap for nutrition coverage survey questions in India.Maternal & child nutrition · 2022Article
- "How Are My Age and Cows Related?" Cognitive Interviewing as a Tool to Pretest Survey Questions in Two Limited Resource Settings.Frontiers in veterinary science · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative survey findings are important in measuring health-related phenomena, including on sensitive topics such as respectful maternity care (RMC). But how well do survey results truly capture respondent experiences and opinions? Quantitative tool development and piloting often involve translating questions from other settings and assessing the mechanics of implementation, which fails to deeply explore how respondents understand survey questions and response options. To address this gap, we conducted cognitive interviews on survey questions (n = 88) adapted from validated RMC instruments used in Ethiopia, Kenya and elsewhere in India. Cognitive interviews with rural women (n = 21) in Madhya Pradesh, India involved asking the respondent the survey question, recording her response, then interviewing her about what the question and response options meant to her. We analysed the interviews to revise the tool and identify question failures, which we grouped into six areas: issues with sequencing, length and sensitivity; problematic response options; inappropriate vocabulary; temporal and spatial confusion; accessing different cognitive domains; and failure to resonate with the respondent's worldview and reality. Although women tended to provide initial answers to the survey questions, cognitive interviews revealed widespread mismatch between respondent interpretation and question intent. Likert scale response options were generally incomprehensible and questions involving hypothetical scenarios could be interpreted in unexpected ways. Many key terms and concepts from the international RMC literature did not translate well and showed low resonance with respondents, including consent and being involved in decisions about one's care. This study highlights the threat to data quality and the validity of findings when translating quantitative surveys between languages and cultures and showcases the value of cognitive interviews in identifying question failures. While survey tool revision can address many of these issues, further critical discussion is needed on the use of standardized questions to assess the same domains across contexts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.