Assessing the reliability of phone surveys to measure reproductive, maternal and child health knowledge among pregnant women in rural India: a feasibility study

Angela Ng, Diwakar Mohan, Neha Shah, Kerry Scott, Osama Ummer, Sara Chamberlain, Aarushi Bhatnagar, Diva Dhar, Smisha Agarwal, Rajani Ved, Amnesty Elizabeth LeFevre, Kilkari Impact Evaluation Team, Smisha Agarwal, Salil Arora, Jean J H Bashingwa, Aarushi Bhatanagar, Sara Chamberlain, Rakesh Chandra, Arpita Chakraborty, Neha Dumke, Priyanka Dutt, Anna Godfrey, Suresh Gopalakrishnan, Nayan Kumar, Simone Honikman, Alain Labrique, Amnesty LeFevre, Jai Mendiratta, Molly Miller, Radharani Mitra, Diwakar Mohan, Deshen Moodley, Nicola Mulder, Angela Ng, Dilip Parida, Nehru Penugonda, Sai Rahul, Shiv Rajput, Neha Shah, Kerry Scott, Aashaka Shinde, Aaditya Singh, Nicki Tiffin, Osama Ummer, Rajani Ved, Falyn Weiss, Sonia Whitehead, Angela Ng, Diwakar Mohan, Neha Shah, Kerry Scott, Osama Ummer, Sara Chamberlain, Aarushi Bhatnagar, Diva Dhar, Smisha Agarwal, Rajani Ved, Amnesty Elizabeth LeFevre, Kilkari Impact Evaluation Team, Smisha Agarwal, Salil Arora, Jean J H Bashingwa, Aarushi Bhatanagar, Sara Chamberlain, Rakesh Chandra, Arpita Chakraborty, Neha Dumke, Priyanka Dutt, Anna Godfrey, Suresh Gopalakrishnan, Nayan Kumar, Simone Honikman, Alain Labrique, Amnesty LeFevre, Jai Mendiratta, Molly Miller, Radharani Mitra, Diwakar Mohan, Deshen Moodley, Nicola Mulder, Angela Ng, Dilip Parida, Nehru Penugonda, Sai Rahul, Shiv Rajput, Neha Shah, Kerry Scott, Aashaka Shinde, Aaditya Singh, Nicki Tiffin, Osama Ummer, Rajani Ved, Falyn Weiss, Sonia Whitehead

Abstract

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.

Keywords: community child health; maternal medicine; neonatal intensive & critical care.

Conflict of interest statement

Competing interests: All authors have completed the Unified Competing Interest form (available on request from the corresponding author) and declare that the research reported was funded by the Bill and Melinda Gates Foundation. AG, SC, PD are employed by BBC Media Action, one of the entities supporting programme implementation. The authors do not have other relationships and are not engaged in activities that could appear to have influenced the submitted work.

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.

Figures

Figure 1
Figure 1
Completed interviews for face-to-face and CATI surveys. CATI, caller-attended telephone interview.
Figure 2
Figure 2
Conceptual framework for identifying the determinants of pregnant women’s RMNCH&N knowledge. ANC, antenatal care; ASHA, accredited social health activist; RMNCH&N, reproductive, maternal, newborn, child health and nutrition.
Figure 3
Figure 3
Measurement of degree in which repeated measurements in pregnant women interviewed (test–retest) provide similar answers.
Figure 4
Figure 4
Average knowledge scores for composite knowledge domains.

References

    1. McDougal L, Raj A, Yore J. Strengthening Gender Measures and Data in the COVID-19 Era : An Urgent Need for Change (English). World Bank Group, 2021.
    1. Menon S, Sonderegger P, Totapally S. Five questions to consider when conducting COVID-19 phone research. BMJ Glob Health 2021;6:e004917. 10.1136/bmjgh-2020-004917
    1. Himelein K, Eckman S, Lau C. Mobile phone surveys for understanding COVID-19 impacts: Part I sampling and Mode [Internet]. World Bank Blogs. Development Impact. Available: [Accessed 13 Nov 2021].
    1. Gibson DG, Pereira A, Farrenkopf BA, et al. . Mobile phone surveys for collecting population-level estimates in low- and middle-income countries: a literature review. J Med Internet Res 2017;19:e139. 10.2196/jmir.7428
    1. Kopper S, Sautmann A. Best practices for conducting phone surveys [Internet]. The Abdul Latif Jameel Poverty Action Lab (J-PAL), 2020. Available: [Accessed 13 Nov 2021].
    1. Labrique A, Blynn E, Ahmed S, et al. . Health surveys using mobile phones in developing countries: automated active strata monitoring and other statistical considerations for improving precision and reducing biases. J Med Internet Res 2017;19:e121. 10.2196/jmir.7329
    1. Khalil K, Das P, Kammowanee R, et al. . Ethical considerations of phone-based interviews from three studies of covid-19 impact in Bihar, India. BMJ Glob Health 2021;6:e005981. 10.1136/bmjgh-2021-005981
    1. Ali J, Labrique AB, Gionfriddo K, et al. . Ethics considerations in global mobile phone-based surveys of noncommunicable diseases: a conceptual exploration. J Med Internet Res 2017;19:e110. 10.2196/jmir.7326
    1. Gibson DG, Pariyo GW, Wosu AC, et al. . Evaluation of mechanisms to improve performance of mobile phone surveys in low- and middle-income countries: research protocol. JMIR Res Protoc 2017;6:e81. 10.2196/resprot.7534
    1. Nair H, Williams LJ, Marsh A, et al. . Assessing the reactivity to mobile phones and repeated surveys on reported care-seeking for common childhood illnesses in rural India. J Glob Health 2018;8:020807. 10.7189/jogh.08.020807
    1. International Institute for Population Sciences (IIPS) and ICF . National family health survey (NFHS-5), India, 2019-21. Mumbai: IIPS, 2021.
    1. Manesh AO, Sheldon TA, Pickett KE, et al. . Accuracy of child morbidity data in demographic and health surveys. Int J Epidemiol 2008;37:194–200. 10.1093/ije/dym202
    1. Mohan D, Bashingwa JJH, Tiffin N, et al. . Does having a mobile phone matter? Linking phone access among women to health in India: an exploratory analysis of the national family health survey. PLoS One 2020;15:e0236078. 10.1371/journal.pone.0236078
    1. International Telecommunication Union . The World in 2016: ICT Facts and Figures [Internet]. Available: [Accessed 9 Mar 2019].
    1. Okonjo-Iweala N, Osafo-Kwaako P. Improving health statistics in Africa. The Lancet 2007;370:1527–8. 10.1016/S0140-6736(07)61644-4
    1. Raju S, Ayyar Panchapagesan N. Madhya Pradesh [Internet]. Encyclopædia Britannica, inc. Available: [Accessed 4 Mar 2019].
    1. National Family Health Survey . State Fact Sheet Madhya Pradesh [Internet], 2016. Available: [Accessed 3 Mar 2019].
    1. LeFevre A, Agarwal S, Chamberlain S, et al. . Are stage-based health information messages effective and good value for money in improving maternal newborn and child health outcomes in India? Protocol for an individually randomized controlled trial. Trials 2019;20:272. 10.1186/s13063-019-3369-5
    1. LeFevre AE, Scott K, Mohan D, et al. . Development of a phone survey tool to measure respectful maternity care during pregnancy and childbirth in India: study protocol. JMIR Res Protoc 2019;8:e12173. 10.2196/12173
    1. Scott K, Gharai D, Sharma M, et al. . Yes, no, maybe so: the importance of cognitive interviewing to enhance structured surveys on respectful maternity care in northern India. Health Policy Plan 2019;14. 10.1093/heapol/czz141
    1. Shah N, Mohan D, Agarwal S, et al. . Novel approaches to measuring knowledge among frontline health workers in India: are phone surveys a reliable option? PLoS One 2020;15:e0234241. 10.1371/journal.pone.0234241
    1. Terwee CB, Bot SDM, de Boer MR, et al. . Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol 2007;60:34–42. 10.1016/j.jclinepi.2006.03.012
    1. Greenleaf AR, Gibson DG, Khattar C, et al. . Building the evidence base for remote data collection in low- and middle-income countries: comparing reliability and accuracy across survey modalities. J Med Internet Res 2017;19:e140. 10.2196/jmir.7331
    1. Ballivian A, Azevedo J, Durbin W. Using mobile phones for high-frequency data collection. In: Toninelli D, Pinter R, de Pedraza P, eds. Mobile research methods: opportunities and challenges of mobile research methodologies. London: Ubiquity Press, 2015: 21–39.
    1. Mahfoud Z, Ghandour L, Ghandour B, et al. . Cell phone and face-to-face interview responses in population-based surveys. Field methods 2015;27:39–54. 10.1177/1525822X14540084
    1. Ferreira AD, César CC, Malta DC, et al. . Validade de estimativas obtidas por inquérito telefônico: comparação entre VIGITEL 2008 e inquérito Saúde em Beagá. Rev Bras Epidemiol 2011;14:16–30. 10.1590/S1415-790X2011000500003
    1. Francisco PMSB, Azevedo Barros MBde, Segri NJ. Comparação de estimativas para o auto-relato de condições crônicas entre inquérito domiciliar e telefônico - Campinas (SP), Brasil. Rev Bras Epidemiol 2011;14:5–15. 10.1590/S1415-790X2011000500002
    1. Pariyo GW, Greenleaf AR, Gibson DG, et al. . Does mobile phone survey method matter? Reliability of computer-assisted telephone interviews and interactive voice response non-communicable diseases risk factor surveys in low and middle income countries. PLoS One 2019;14:e0214450. 10.1371/journal.pone.0214450
    1. Nigatu SG, Worku AG, Dadi AF. Level of mother ’ s knowledge about neonatal danger signs and associated factors in North West of Ethiopia : a community based study. BMC Res Notes 2015:4–9.
    1. Sandberg J, Odberg Pettersson K, Asp G, et al. . Inadequate knowledge of neonatal danger signs among recently delivered women in southwestern rural Uganda: a community survey. PLoS One 2014;9:e97253. 10.1371/journal.pone.0097253
    1. Senarath U, Fernando DN, Vimpani G, et al. . Factors associated with maternal knowledge of newborn care among hospital-delivered mothers in Sri Lanka. Trans R Soc Trop Med Hyg 2007;101:823–30. 10.1016/j.trstmh.2007.03.003
    1. Singh A, Singh KK, Verma P. Knowledge, attitude and practice gap in family planning usage: an analysis of selected cities of Uttar Pradesh. Contracept Reprod Med 2016;1:20. 10.1186/s40834-016-0031-4
    1. Sharma V, Mohan U, Das V, et al. . Socio demographic determinants and knowledge, attitude, practice: survey of family planning. J Family Med Prim Care 2012;1:43. 10.4103/2249-4863.94451
    1. Acharya AS, Kaur R, Prasuna JG, et al. . Making pregnancy safer-birth preparedness and complication readiness study among antenatal women Attendees of a primary health center, Delhi. Indian J Community Med 2015;40:127. 10.4103/0970-0218.153881
    1. Deoki N, Kushwah SS, Dubey DK. A study for assessing birth preparedness and complication readiness intervention in Rewa District of Madhya Pradesh Chief Investigator, India. Department of Community Medicine, SS Medical College, Rewa, MP 2008;9.
    1. Scott K, Ummer O, LeFevre AE. The devil is in the detail: reflections on the value and application of cognitive interviewing to strengthen quantitative surveys in global health. Health Policy Plan 2021;36:982–95. 10.1093/heapol/czab048

Source: PubMed

3
Sottoscrivi