IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0275855.html
   My bibliography  Save this article

Do mothers pick up a phone? A cross-sectional study on delivery of MCH voice messages in Lagos, Nigeria

Author

Listed:
  • Kazuya Ogawa
  • Yoshito Kawakatsu
  • Nobuhiro Kadoi
  • Olukunmi Omobolanle Balogun
  • Adefunke Oyeniyi Adesina
  • Veronica Olubunmi Iwayemi
  • Hirotsugu Aiga

Abstract

Background: Voice messages have been employed as an effective and efficient approach for increasing health service utilization and health promotion in low- and middle-income countries. However, unlike SMS, voice message services require their users to pick up a phone call at its delivery time. Furthermore, voice messages are difficult for the users to review their contents afterward. While recognizing that voice messages are more friendly to specific groups (eg, illiterate or less literate populations), there should be several challenges in successfully operationalizing its intervention program. Objective: This study is aimed to estimate the extent to which voice message service users pick up the phone calls of voice messages and complete listening up to or beyond the core part of voice messages. Methods: A voice message service program composed of 14 episodes on maternal, newborn, and child health was piloted in Lagos, Nigeria, from 2018 to 2019. A voice message call of each of 14 episodes was delivered to the mobile phones of the program participants per day for 14 consecutive days. A total of 513 participants in the voice message service chose one of five locally spoken languages as the language to be used for voice messages. Two multilevel logistic regression models were created to understand participants’ adherence to the voice message: (a) Model 1 for testing whether a voice message call is picked up; and (b) Model 2 for testing whether a voice message call having been picked up is listened to up to the core messaging part. Results: The greater the voice message episode number became, the smaller proportion of the participants picked up the phone calls of voice message (aOR: 0.98; 95% CI: 0.97–0.99; P = .01). Only 854 of 3765 voice message calls having been picked up by the participants (22.7%) were listened to up to their core message parts. It was found that picking up a phone call did not necessarily ensure listening up to the core message part. This indicates a discontinuity between these two actions. Conclusions: The participants were likely to stop picking up the phone as the episode number of voice messages progressed. In view of the discontinuity between picking up a phone call and listening up to the core message part, we should not assume that those picking up the phone would automatically complete listening to the entire or core voice message.

Suggested Citation

  • Kazuya Ogawa & Yoshito Kawakatsu & Nobuhiro Kadoi & Olukunmi Omobolanle Balogun & Adefunke Oyeniyi Adesina & Veronica Olubunmi Iwayemi & Hirotsugu Aiga, 2022. "Do mothers pick up a phone? A cross-sectional study on delivery of MCH voice messages in Lagos, Nigeria," PLOS ONE, Public Library of Science, vol. 17(11), pages 1-19, November.
  • Handle: RePEc:plo:pone00:0275855
    DOI: 10.1371/journal.pone.0275855
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0275855
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0275855&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0275855?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Isaac Amankwaa & Daniel Boateng & Dan Yedu Quansah & Cynthia Pomaa Akuoko & Catrin Evans, 2018. "Effectiveness of short message services and voice call interventions for antiretroviral therapy adherence and other outcomes: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-20, September.
    2. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diane Coffey & Ashwini Deshpande & Jeffrey Hammer & Dean Spears, 2019. "Local Social Inequality, Economic Inequality, and Disparities in Child Height in India," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1427-1452, August.
    2. Angus Deaton & Jean Dreze, 2008. "Nutrition in India: Facts and Interpretations," Working Papers 1071, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    3. Cornelie Nienaber-Rousseau & Olusola F. Sotunde & Patricia O. Ukegbu & P. Hermanus Myburgh & Hattie H. Wright & Lize Havemann-Nel & Sarah J. Moss & Iolanthé M. Kruger & H. Salomé Kruger, 2017. "Socio-Demographic and Lifestyle Factors Predict 5-Year Changes in Adiposity among a Group of Black South African Adults," IJERPH, MDPI, vol. 14(9), pages 1-16, September.
    4. Langyintuo, Augustine S. & Mungoma, Catherine, 2008. "The effect of household wealth on the adoption of improved maize varieties in Zambia," Food Policy, Elsevier, vol. 33(6), pages 550-559, December.
    5. Derek Headey & David Stifel & Liangzhi You & Zhe Guo, 2018. "Remoteness, urbanization, and child nutrition in sub‐Saharan Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 765-775, November.
    6. Barik, Debasis & Desai, Sonalde & Vanneman, Reeve, 2018. "Economic Status and Adult Mortality in India: Is the Relationship Sensitive to Choice of Indicators?," World Development, Elsevier, vol. 103(C), pages 176-187.
    7. Laetitia Duval & François-Charles Wolff, 2016. "Emigration intentions of Roma: evidence from Central and South-East Europe," Post-Communist Economies, Taylor & Francis Journals, vol. 28(1), pages 87-107, January.
    8. M Mahmud Khan & Sebastian Taylor & Chris Morry & Shyamkumar Sriram & Ibrahim Demir & Mizan Siddiqi, 2023. "How reliable is the asset score in measuring socioeconomic status? Comparing asset ownership reported by male and female heads of households," PLOS ONE, Public Library of Science, vol. 18(2), pages 1-15, February.
    9. Paschalis Arvanitidis & Athina Economou & Christos Kollias, 2016. "Terrorism’s effects on social capital in European countries," Public Choice, Springer, vol. 169(3), pages 231-250, December.
    10. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    11. Pulkit Sharma & Achut Manandhar & Patrick Thomson & Jacob Katuva & Robert Hope & David A. Clifton, 2019. "Combining Multi-Modal Statistics for Welfare Prediction Using Deep Learning," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
    12. Janz, Teresa & Augsburg, Britta & Gassmann, Franziska & Nimeh, Zina, 2023. "Leaving no one behind: Urban poverty traps in Sub-Saharan Africa," World Development, Elsevier, vol. 172(C).
    13. Darius Erlangga & Shehzad Ali & Karen Bloor, 2019. "The impact of public health insurance on healthcare utilisation in Indonesia: evidence from panel data," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(4), pages 603-613, May.
    14. Jere R. Behrman & Dante Contreras & Maria Isidora Palma & Esteban Puentes, 2024. "Socioeconomic Disparities for Early Childhood Anthropometrics and Vocabulary and Socio-emotional Skills: Dynamic Evidence from Chilean Longitudinal Data," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(1), pages 1-28, February.
    15. Corsi, Daniel J. & Mejía-Guevara, Iván & Subramanian, S.V., 2016. "Risk factors for chronic undernutrition among children in India: Estimating relative importance, population attributable risk and fractions," Social Science & Medicine, Elsevier, vol. 157(C), pages 165-185.
    16. Brown, Joe & Hamoudi, Amar & Jeuland, Marc & Turrini, Gina, 2017. "Seeing, believing, and behaving: Heterogeneous effects of an information intervention on household water treatment," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 141-159.
    17. Alobo Loison, Sarah & Hillbom, Ellen, 2020. "Regional evidence of smallholder-based growth in Zambia’s livestock sector," World Development Perspectives, Elsevier, vol. 19(C).
    18. Freudenreich, Hanna & Musshoff, Oliver & Wiercinski, Ben, 2017. "The Relationship between Farmers' Shock Experiences and their Uncertainty Preferences - Experimental Evidence from Mexico," GlobalFood Discussion Papers 256212, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    19. Ali, Daniel Ayalew & Deininger, Klaus & Goldstein, Markus, 2014. "Environmental and gender impacts of land tenure regularization in Africa: Pilot evidence from Rwanda," Journal of Development Economics, Elsevier, vol. 110(C), pages 262-275.
    20. Bertoli, Simone & Marchetta, Francesca, 2015. "Bringing It All Back Home – Return Migration and Fertility Choices," World Development, Elsevier, vol. 65(C), pages 27-40.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0275855. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.