Abstract
ObjectivesEfforts 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.ParticipantsWomen 5–7 months pregnant with access to a phone.SettingFour districts of Madhya Pradesh, India.DesignCross-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.ResultsKnowledge 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.ConclusionsPhone 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 numberNCT03576157.
Reference36 articles.
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. http://documents.worldbank.org/curated/en/681671619424596227/Strengthening-Gender-Measures-and-Data-in-the-COVID-19-Era-An-Urgent-Need-for-Change
2. Five questions to consider when conducting COVID-19 phone research
3. 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: https://blogs.worldbank.org/impactevaluations/mobile-phone-surveys-understanding-covid-19-impacts-part-i-sampling-and-mode [Accessed 13 Nov 2021].
4. Mobile Phone Surveys for Collecting Population-Level Estimates in Low- and Middle-Income Countries: A Literature Review
5. Kopper S , Sautmann A . Best practices for conducting phone surveys [Internet]. The Abdul Latif Jameel Poverty Action Lab (J-PAL), 2020. Available: https://www.povertyactionlab.org/blog/3-20-20/best-practices-conducting-phone-surveys [Accessed 13 Nov 2021].
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献