Assessing the reliability of phone surveys to measure reproductive, maternal and child health knowledge among pregnant women in rural India: a feasibility study
Nicki Tiffin,
Rajani Ved,
Alain Labrique,
Diva Dhar,
Amnesty Elizabeth LeFevre,
Kerry Scott,
Smisha Agarwal,
Nicola Mulder,
Neha Shah,
Diwakar Mohan,
Simone Honikman,
Sara Chamberlain,
Salil Arora,
Jai Mendiratta,
Sai Rahul,
Osama Ummer,
Aarushi Bhatanagar,
Rakesh Chandra,
Arpita Chakraborty,
Neha Dumke,
Priyanka Dutt,
Anna Godfrey,
Suresh Gopalakrishnan,
Nayan Kumar,
Amnesty LeFevre,
Molly Miller,
Radharani Mitra,
Deshen Moodley,
Angela Ng,
Dilip Parida,
Nehru Penugonda,
Shiv Rajput,
Aashaka Shinde,
Aaditya Singh,
Falyn Weiss,
Sonia Whitehead,
Aarushi Bhatnagar,
Jean J H Bashingwa
Affiliations
Nicki Tiffin
South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa
Rajani Ved
The Bill and Melinda Gates Foundation, Delhi, India
Alain Labrique
International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
Diva Dhar
The Bill and Melinda Gates Foundation, Seattle, Washington, USA
Amnesty Elizabeth LeFevre
9 Division of Public Health Medicine, University of Cape Town, School of Public Health, Cape Town, South Africa
Kerry Scott
School of Global Health, Faculty of Health, York University, Toronto, Ontario, Canada
Smisha Agarwal
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Nicola Mulder
6 Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town Faculty of Heath Sciences, Cape Town, South Africa
Neha Shah
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Diwakar Mohan
3 Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
Simone Honikman
Sara Chamberlain
3 Independent Consultant, Digital Health & Gender, Delhi, India
Salil Arora
Jai Mendiratta
Digital, BBC Media Action, New Delhi, India
Sai Rahul
Osama Ummer
4 Oxford Policy Management, New Delhi, India
Aarushi Bhatanagar
Rakesh Chandra
Arpita Chakraborty
Neha Dumke
Priyanka Dutt
2 India Hub, GivingTuesday, New Delhi, India
Anna Godfrey
5 BBC Media Action, London, UK
Suresh Gopalakrishnan
Nayan Kumar
Amnesty LeFevre
Molly Miller
Radharani Mitra
1 BBC Media Action, Delhi, India
Deshen Moodley
Angela Ng
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Dilip Parida
Nehru Penugonda
Shiv Rajput
Aashaka Shinde
Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
Aaditya Singh
Falyn Weiss
Sonia Whitehead
Aarushi Bhatnagar
Health, Nutrition and Population, World Bank New Delhi Office, New Delhi, India
Objectives Efforts to understand the factors influencing the uptake of reproductive, maternal, newborn, child health and nutrition (RMNCH&N) services in high disease burden low-resource settings have often focused on face-to-face surveys or direct observations of service delivery. Increasing access to mobile phones has led to growing interest in phone surveys as a rapid, low-cost alternatives to face-to-face surveys. We assess determinants of RMNCH&N knowledge among pregnant women with access to phones and examine the reliability of alternative modalities of survey delivery.Participants Women 5–7 months pregnant with access to a phone.Setting Four districts of Madhya Pradesh, India.Design Cross-sectional surveys administered face-to-face and within 2 weeks, the same surveys were repeated among two random subsamples of the original sample: face-to-face (n=205) and caller-attended telephone interviews (n=375). Bivariate analyses, multivariable linear regression, and prevalence and bias-adjusted kappa scores are presented.Results Knowledge scores were low across domains: 52% for maternal nutrition and pregnancy danger signs, 58% for family planning, 47% for essential newborn care, 56% infant and young child feeding, and 58% for infant and young child care. Higher knowledge (≥1 composite score) was associated with older age; higher levels of education and literacy; living in a nuclear family; primary health decision-making; greater attendance in antenatal care and satisfaction with accredited social health activist services. Survey questions had low inter-rater and intermodal reliability (kappa<0.70) with a few exceptions. Questions with the lowest reliability included true/false questions and those with unprompted, multiple response options. Reliability may have been hampered by the sensitivity of the content, lack of privacy, enumerators’ and respondents’ profile differences, rapport, social desirability bias, and/or enumerator’s ability to adequately convey concepts or probe.Conclusions Phone surveys are a reliable modality for generating population-level estimates data about pregnant women’s knowledge, however, should not be used for individual-level tracking.Trial registration number NCT03576157.