Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Understanding rural women's preferences for telephone call engagement with primary health care providers in Nigeria

A discrete choice experiment

Bibliographic Data

ID21879750
AuthorsNasir Umar (0000-0001-5119-0092, London School of Hygiene & Tropical Medicine, corresponding author), Zelee Hill (0000-0002-5949-6448, University College London), J Schellenberg (0000-0002-0708-3676, London School of Hygiene & Tropical Medicine), Nuraddeen Umar Sambo (DRMC, Abuja, Nigeria), Abdulrahman Shuaibu (National Primary Health Care Development Agency), Abdulkarim M Aliyu (Gombe State University), Kallah Kirpu Kulani (Gombe State University), Muhammad U Abdullahi (Gombe State University), Ahmed Usman (0000-0002-5009-0580, Gombe State University), Hafsat Mohammed (Gombe State University), Hajara Adamu (Gombe State University), Maryam Ibrahim (0000-0003-3267-1864, Gombe State University), Adamu Mohammed (0000-0002-8920-4549, Gombe State University), Adama Abdulhamid (Gombe State University), Zainab Muhammed (Gombe State Primary Health Care Development Agency, Gombe, Nigeria), Afodiya Alfayo (Gombe State University), Tanya Marchant (0000-0002-4228-4334, London School of Hygiene & Tropical Medicine)
Year2023
Volume8
Issue12
Pagese013498
Publication date2023-12-01
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2023-013498
PMID38148109
OpenAlexW4390238758
LanguageEN
Citations received2
References cited34

BACKGROUND: The COVID-19 pandemic has accelerated the use of mobile phones to provide primary health care services and maintain continuity of care. This study aims to understand rural women's preferences for telephone call engagement with primary health care providers in Nigeria. METHODS: A discrete choice experiment was conducted alongside an action research project that empowered primary health care workers to develop and implement a telephone call intervention to assess and enhance experiences with facility childbirth care. Between January and March 2022, 30 providers from 10 primary health care facilities implemented the choice experiment among rural women who had institutional childbirth to elicit service user preferences for telephone call engagement. The women were asked to express their preferred scenario for telephone call engagement with their primary health care providers. Generalised linear mixed models were used to estimate women's preferences. RESULTS: Data for 460 women were available for the discrete choice experiment. The study showed that rural women have preferences for telephone call engagement with primary health care providers. Specifically, women preferred engaging with female to male callers (β=1.665 (95% CI 1.41, 1.93), SE=0.13, p<0.001), preferred call duration under 15 min (β=1.287 (95% CI 0.61, 1.96), SE=0.34, p<0.001) and preferred being notified before the telephone engagement (warm calling) (β=1.828 (95% CI 1.10, 2.56), SE=0.37, p<0.001). Phone credit incentive was also a statistically significant predictor of women's preferences for engagement. However, neither the availability of scheduling options, the period of the day or the day of the week predicts women's preferences. CONCLUSIONS: The study highlights the importance of understanding rural women's preferences for telephone call engagement with healthcare providers in low-income and middle-income countries. These findings can inform the development of mobile phone-based interventions and improve acceptability and broader adoption

Call centre · Childbirth · Family medicine · Health care · Phone · Political science · Pregnancy · Telephone call · COVID-19 Impact on Reproduction · Medicine · Mobile Health and mHealth Applications · Nursing · Psychology · Telemedicine and Telehealth Implementation

  • ‘Let him die in peace’

    Open Access•Ayobami A Bakare, Julius Salako et al.•BMJ Global Health•2024

  • The use of discrete choice experiments in evaluating telehealth

    Open Access•Feby Savira, Madison Frith et al.•Health Policy•2025

  • Discrete Choice Experiments in Health Economics

    Open Access•Michael Clark, Michael D Clark et al.•PharmacoEconomics•2014

  • Using conjoint analysis to elicit preferences for health care

    Open Access•Mandy Ryan•BMJ•2000

  • Conducting Discrete Choice Experiments to Inform Healthcare Decision Making

    Open Access•Emily Lancsar, Jordan J Louviere et al.•PharmacoEconomics•2008

  • Sample Size Requirements for Discrete-Choice Experiments in Healthcare

    Open Access•E W De Bekker-Grob, B Donkers et al.•The Patient - Patient-Centered…•2015

  • Toward improving respectful maternity care

    Open Access•Nasir Umar, Matthew Quaife et al.•BMJ Global Health•2020

  • Women’s perceptions of telephone interviews about their experiences with childbirth care in Nigeria

    Open Access•Nasir Umar, Zelee Hill et al.•PLOS Global Public Health•2023

  • Monitoring childbirth care in primary health facilities

    Open Access•Antoinette Bhattacharya, Antoinette Alas Bhattacharya et al.•Journal of Global Health•2019

  • Digital health and primary care

    Open Access•Claudia Pagliari•Journal of Global Health•2021

  • Adaptation of a mobile phone health survey for risk factors for noncommunicable diseases in Colombia

    Open Access•Angelica Tórres Quintero, Ángela Vega et al.•Global Health Action•2020

  • How do patients respond when confronted with telephone access barriers to care

    Open Access•Sara M Locatelli, Sherri L Lavela et al.•Health Expectations•2015

  • How to do (or not to do) … Designing a discrete choice experiment for application in a low-income country

    Open Access•Lindsay Mangham-Jefferies, Lindsay J Mangham et al.•Health Policy and Planning•2009

  • Understanding correlates of child stunting in Ethiopia using generalized linear mixed models

    Open Access•Kasahun Takele, Temesgen Zewotir et al.•BMC Public Health•2019

Citations per year1
Citation span2024 - 2025 (2)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae