Evidence map›Paper›PMID 42520049›Full record

ArticlePloS one2026

"Please speak in Hindi": Cognitive interviews to improve measurement of digital access in North India.

Zenia Taluja, Anjora Sarangi, Pankaj Mishra, Chandrika Prasad Verma, Manjula Sharma, Osama Ummer, Arjun Khanna, Sara Chamberlain, Priyadarshini Krishnaraj, Megha S Hudda and 2 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Zenia TalujaDevsol Research Consultant Private Limited, New Delhi, Delhi, India.
Anjora SarangiJohns Hopkins India Private Limited, Pune, Maharashtra, India.ORCID https://orcid.org/0009-0005-6702-7202
Pankaj MishraCentre of Social Medicine and Community Health, Jawaharlal Nehru University, New Delhi, India.ORCID https://orcid.org/0000-0003-3966-2792
Chandrika Prasad VermaCentre of Social Medicine and Community Health, Jawaharlal Nehru University, New Delhi, India.ORCID https://orcid.org/0000-0002-8094-7493
Manjula SharmaDevsol Research Consultant Private Limited, New Delhi, Delhi, India.
Osama UmmerSchool of Public Health and Family Medicine, University of Cape Town, Western Cape, South Africa.ORCID https://orcid.org/0000-0002-4189-5328
Arjun KhannaSchool of Public Health and Family Medicine, University of Cape Town, Western Cape, South Africa.ORCID https://orcid.org/0000-0003-0804-4617
Sara Chamberlain2X Digital, New Delhi, India.
Priyadarshini KrishnarajDevsol Research Consultant Private Limited, New Delhi, Delhi, India.
Megha S HuddaDevsol Research Consultant Private Limited, New Delhi, Delhi, India.
Amnesty E LeFevreSchool of Public Health and Family Medicine, University of Cape Town, Western Cape, South Africa.
Kerry ScottSchool of Global Health, Faculty of Health, York University, Toronto, Canada.ORCID https://orcid.org/0000-0003-3597-9637

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to and use of mobile phones are increasingly a prerequisite for full participation in modern society. Yet, a significant digital gender gap persists in India, where women are less likely than men to own phones or access the internet. To measure and understand this gap, survey questions must be both comprehensible to the respondents and contextually appropriate. We conducted 101 cognitive interviews with men (n = 44) and women (n = 57) in rural Uttar Pradesh to test 118 draft survey questions developed for an upcoming survey on digital access and use. These draft questions were drawn primarily from validated global instruments, with some additional questions newly developed by our team, and were all translated into Hindi. Through team debriefs and systematic analysis of the interview transcripts, we identified seven categories of question problems: (1) inappropriate terminology, (2) overly complex wording, (3) low resonance of digital concepts (e.g., personal data, online tracking, privacy policies, hacking), (4) confusion when asking about permission and supervision of mobile phone use due to phone sharing and overlap with concept of help or support, (5) problematic question structures and response options (especially Likert scales), (6) self-practice bias, and (7) unclear time frames and recall expectations. Overall, we found that many draft survey questions were incomprehensible to respondents despite our research team's efforts to develop clear and simple translations. Revisions were required for almost all questions. Our findings highlight the critical role of cognitive interviewing in improving data quality, particularly when conducting surveys across languages and sociocultural contexts, and amid rapidly changing digital landscapes.

Indexed as

Cell PhoneCognitionAdultDigital MediaFemaleHumansIndiaInternetInterviews as TopicLanguageMaleSurveys and Questionnaires

Identifiers

PMID42520049
PMCPMC13411880

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.