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Comparability of modern contraceptive use estimates between a face-to-face survey and a cellphone survey among women in Burkina Faso

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  • Abigail R Greenleaf
  • Aliou Gadiaga
  • Georges Guiella
  • Shani Turke
  • Noelle Battle
  • Saifuddin Ahmed
  • Caroline Moreau

Abstract

Introduction: The proliferation of cell phone ownership in Sub-Saharan Africa (SSA) presents the opportunity to collect public health indicators at a lower cost compared to face-to-face (FTF) surveys. This analysis assesses the equivalence of modern contraceptive prevalence estimates between a nationally representative FTF survey and a cell phone survey using random digit dialing (RDD) among women of reproductive age in Burkina Faso. Methods: We analyzed data from two surveys conducted in Burkina Faso between December 2017 and May 2018. The FTF survey conducted by Performance Monitoring and Accountability (PMA2020) comprised a nationally representative sample of 3,556 women of reproductive age (15–49 years). The RDD survey was conducted using computer-assisted telephone interviewing and included 2,379 women of reproductive age. Results: Compared to FTF respondents, women in the RDD sample were younger, were more likely to have a secondary degree and to speak French. RDD respondents were more likely to report using modern contraceptive use (40%) compared to FTF respondents (26%) and the difference remained unchanged after applying post-stratification weights to the RDD sample (39%). This difference surpassed the equivalence margin of 4%. The RDD sample also produced higher estimates of contraceptive use than the subsample of women who owned a phone in the FTF sample (32%). After adjusting for women’s sociodemographic factors, the odds of contraceptive use were 1.9 times higher (95% CI: 1.6–2.2) in the RDD survey compared to the FTF survey and 1.6 times higher (95% CI: 1.3–1.8) compared to FTF phone owners. Conclusions: Modern contraceptive prevalence in Burkina Faso is over-estimated when using a cell phone RDD survey, even after adjusting for a number of sociodemographic factors. Further research should explore causes of differential estimates of modern contraceptive use by survey modes.

Suggested Citation

  • Abigail R Greenleaf & Aliou Gadiaga & Georges Guiella & Shani Turke & Noelle Battle & Saifuddin Ahmed & Caroline Moreau, 2020. "Comparability of modern contraceptive use estimates between a face-to-face survey and a cellphone survey among women in Burkina Faso," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-15, May.
    • Handle: RePEc:plo:pone00:0231819
    DOI: 10.1371/journal.pone.0231819
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    References listed on IDEAS

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    1. Kelly L’Engle & Eunice Sefa & Edward Akolgo Adimazoya & Emmanuel Yartey & Rachel Lenzi & Cindy Tarpo & Nii Lante Heward-Mills & Katherine Lew & Yvonne Ampeh, 2018. "Survey research with a random digit dial national mobile phone sample in Ghana: Methods and sample quality," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-11, January.
    2. Joseph Larmarange & Ouattara Kassoum & Élise Kakou & Yves Fradier & Lazare Sika & Christine Danel & Catriona Dutreuilh, 2016. "Feasibility and Representativeness of a Random Sample Mobile Phone Survey in Côte d’Ivoire," Population (english edition), Institut National d'Études Démographiques (INED), vol. 0(1), pages 117-129.
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    Cited by:

    1. Monteiro Amaral,Sofia Fernando & Dinarte Diaz,Lelys Ileana & Dominguez,Patricio & Perez-Vincent,Santiago M. & Romero,Steffanny, 2022. "Talk or Text ? Evaluating Response Rates by Remote Survey Method during COVID-19," Policy Research Working Paper Series 9999, The World Bank.
    2. Carletto,Calogero & Dillon,Andrew S. & Zezza,Alberto, 2021. "Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage," Policy Research Working Paper Series 9745, The World Bank.
    3. Jethro Banda & Albert Dube & Sarah Brumfield & Abena Amoah & Amelia Crampin & Georges Reniers & Stephane Helleringer, 2021. "Knowledge, risk perceptions, and behaviors related to the COVID-19 pandemic in Malawi," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(20), pages 459-480.
    4. Glazerman, Steven & Grépin, Karen A. & Mueller, Valerie & Rosenbaum, Michael & Wu, Nicole, 2023. "Do referrals improve the representation of women in mobile phone surveys?," Journal of Development Economics, Elsevier, vol. 162(C).
    5. Kaushalendra Kumar & Abhishek Singh & Amy Tsui, 2022. "Measuring contraceptive use in India: Implications of recent fieldwork design and implementation of the National Family Health Survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(4), pages 73-110.

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