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Effect of airtime incentives on response and cooperation rates in non-communicable disease interactive voice response surveys: randomised controlled trials in Bangladesh and Uganda
  1. Dustin G Gibson1,
  2. Adaeze C. Wosu2,
  3. George William Pariyo1,
  4. Saifuddin Ahmed3,
  5. Joseph Ali1,4,
  6. Alain B Labrique1,
  7. Iqbal Ansary Khan5,
  8. Elizeus Rutebemberwa6,
  9. Meerjady Sabrina Flora5,
  10. Adnan A Hyder1,7
  1. 1International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
  2. 2Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
  3. 3Population, Family And Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
  4. 4Johns Hopkins University Berman Institute of Bioethics, Baltimore, Maryland, USA
  5. 5Institute of Epidemiology Disease Control and Research, Dhaka, Dhaka District, Bangladesh
  6. 6Makerere University College of Health Sciences, Kampala, Kampala, Uganda
  7. 7George Washington University Milken Institute of Public Health, Washington, District of Columbia, USA
  1. Correspondence to Dr Dustin G Gibson; dgibso28{at}jhu.edu

Abstract

Background The global proliferation of mobile phones offers opportunity for improved non-communicable disease (NCD) data collection by interviewing participants using interactive voice response (IVR) surveys. We assessed whether airtime incentives can improve cooperation and response rates for an NCD IVR survey in Bangladesh and Uganda.

Methods Participants were randomised to three arms: a) no incentive, b) 1X incentive or c) 2X incentive, where X was set to airtime of 50 Bangladesh Taka (US$0.60) and 5000 Ugandan Shillings (UGX; US$1.35). Adults aged 18 years and older who had a working mobile phone were sampled using random digit dialling. The primary outcomes, cooperation and response rates as defined by the American Association of Public Opinion Research, were analysed using log-binomial regression model.

Results Between 14 June and 14 July 2017, 440 262 phone calls were made in Bangladesh. The cooperation and response rates were, respectively, 28.8% (353/1227) and 19.2% (580/3016) in control, 39.2% (370/945) and 23.9% (507/2120) in 50 Taka and 40.0% (362/906) and 24.8% (532/2148) in 100 Taka incentive groups. Cooperation and response rates, respectively, were significantly higher in both the 50 Taka (risk ratio (RR) 1.36, 95% CI 1.21 to 1.53) and (RR 1.24, 95% CI 1.12 to 1.38), and 100 Taka groups (RR 1.39, 95% CI 1.23 to 1.56) and (RR 1.29, 95% CI 1.16 to 1.43), as compared with the controls. In Uganda, 174 157 phone calls were made from 26 March to 22 April 2017. The cooperation and response rates were, respectively, 44.7% (377/844) and 35.2% (552/1570) in control, 57.6% (404/701) and 39.3% (508/1293) in 5000 UGX and 58.8% (421/716) and 40.3% (535/1328) in 10 000 UGX groups. Cooperation and response rates were significantly higher, respectively in the 5000 UGX (RR 1.29, 95% CI 1.17 to 1.42) and (RR 1.12, 95% CI 1.02 to 1.23), and 10 000 UGX groups (RR 1.32, 95% CI 1.19 to 1.45) and (RR 1.15, 95% CI 1.04 to 1.26), as compared with the control group.

Conclusion In two diverse settings, the provision of an airtime incentive significantly improved both the cooperation and response rates of an IVR survey, with no significant difference between the two incentive amounts.

Trial registration number NCT03768323.

  • interactive voice response
  • risk factor surveillance
  • non-communicable disease
  • incentive
  • mHealth
  • ICT
  • survey methodology
  • mobile phone surveys

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • Handling editor Soumitra S Bhuyan

  • Contributors DGG, GWP and AL developed the study protocol. AAH, IAK, ER and MSF provided scientific and study oversight. DGG wrote the first draft of the manuscript and did initial analyses. DGG, AW and SA analysed data. DGG and AW did the literature review. All authors generated hypotheses, interpreted the data and critically reviewed the manuscript.

  • Funding Funding for the study was provided by Bloomberg Philanthropies.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Ethics approval This study was approved by Johns Hopkins University Bloomberg School of Public Health, USA; Makerere University School of Public Health, Uganda; the Uganda National Council for Science and Technology and the Institute of Epidemiology Disease Control and Research, Bangladesh.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement Data are available on reasonable request.

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