Effect of a mass radio campaign on family behaviours and child survival in Burkina Faso: a repeated cross-sectional, cluster-randomised trial

Sophie Sarrassat, Nicolas Meda, Hermann Badolo, Moctar Ouedraogo, Henri Some, Robert Bambara, Joanna Murray, Pieter Remes, Matthiew Lavoie, Simon Cousens, Roy Head, Sophie Sarrassat, Nicolas Meda, Hermann Badolo, Moctar Ouedraogo, Henri Some, Robert Bambara, Joanna Murray, Pieter Remes, Matthiew Lavoie, Simon Cousens, Roy Head

Abstract

Background: Media campaigns can potentially reach a large audience at relatively low cost but, to our knowledge, no randomised controlled trials have assessed their effect on a health outcome in a low-income country. We aimed to assess the effect of a radio campaign addressing family behaviours on all-cause post-neonatal under-5 child mortality in rural Burkina Faso.

Methods: In this repeated cross-sectional, cluster randomised trial, clusters (distinct geographical areas in rural Burkina Faso with at least 40 000 inhabitants) were selected by Development Media International based on their high radio listenership (>60% of women listening to the radio in the past week) and minimum distances between radio stations to exclude population-level contamination. Clusters were randomly allocated to receive the intervention (a comprehensive radio campaign) or control group (no radio media campaign). Household surveys were performed at baseline (from December, 2011, to February, 2012), midline (in November, 2013, and after 20 months of campaigning), and endline (from November, 2014, to March, 2015, after 32 months of campaigning). Primary analyses were done on an intention-to-treat basis, based on cluster-level summaries and adjusted for imbalances between groups at baseline. The primary outcome was all-cause post-neonatal under-5 child mortality. The trial was designed to detect a 20% reduction in the primary outcome with a power of 80%. Routine data from health facilities were also analysed for evidence of changes in use and these data had high statistical power. The indicators measured were new antenatal care attendances, facility deliveries, and under-5 consultations. This trial is registered with ClinicalTrial.gov, number NCT01517230.

Findings: The intervention ran from March, 2012, to January, 2015. 14 clusters were selected and randomly assigned to the intervention group (n=7) or the control group (n=7). The average number of villages included per cluster was 34 in the control group and 29 in the intervention group. 2269 (82%) of 2784 women in the intervention group reported recognising the campaign's radio spots at endline. Post-neonatal under-5 child mortality decreased from 93·3 to 58·5 per 1000 livebirths in the control group and from 125·1 to 85·1 per 1000 livebirths in the intervention group. There was no evidence of an intervention effect (risk ratio 1·00, 95% CI 0·82-1·22; p>0·999). In the first year of the intervention, under-5 consultations increased from 68 681 to 83 022 in the control group and from 79 852 to 111 758 in the intervention group. The intervention effect using interrupted time-series analysis was 35% (95% CI 20-51; p<0·0001). New antenatal care attendances decreased from 13 129 to 12 997 in the control group and increased from 19 658 to 20 202 in the intervention group in the first year (intervention effect 6%, 95% CI 2-10; p=0·004). Deliveries in health facilities decreased from 10 598 to 10 533 in the control group and increased from 12 155 to 12 902 in the intervention group in the first year (intervention effect 7%, 95% CI 2-11; p=0·004).

Interpretation: A comprehensive radio campaign had no detectable effect on child mortality. Substantial decreases in child mortality were observed in both groups over the intervention period, reducing our ability to detect an effect. This, nevertheless, represents the first randomised controlled trial to show that mass media alone can change health-seeking behaviours.

Funding: Wellcome Trust and Planet Wheeler Foundation.

Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Figures

Figure 1
Figure 1
Pair-matched randomisation based on geography and radio penetration rate
Figure 2
Figure 2
Pre-intervention and post-intervention periods for mortality analysis
Figure 3
Figure 3
Trial profile
Figure 4
Figure 4
Radio listenership and campaign recognition at endline Error bars represent 95% CI.
Figure 5
Figure 5
(A) New antenatal care attendances, (B) deliveries, and (C) under-5 consultations at primary facilities by month and by group (routine facility data)

References

    1. You D, Hug L, Ejdemyr S, for the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME) Global, regional, and national levels and trends in under-5 mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation. Lancet. 2015;386:2275–2286.
    1. Bryce J, Victora CG, Balck RE. The unfinished agenda in child survival. Lancet. 2013;382:1049–1059.
    1. Hafner T, Shiffman J. The emergence of global attention to health systems strengthening. Health Policy Plan. 2013;28:41–50.
    1. Marsh DR, Hamer DH, Pagnoni F, Peterson S. Introduction to a special supplement: evidence for the implementation, effects, and impact of the integrated community case management strategy to treat childhood infection. Am J Trop Med Hyg. 2012;87:2–5.
    1. De Sousa A, Tiedje KE, Recht J, Bjelic I, Hamer DH. Community case management of childhood illnesses: policy and implementation in Countdown to 2015 countries. Bull World Health Organ. 2012;90:183–190.
    1. Fox E. Population-level behavior change to enhance chid survival and development in low- and middle-income countries. J Health Commun. 2014;19:3–9.
    1. Naugle DA, Hornik RC. Systematic review of the effectiveness of mass media interventions for child survival in low- and midlle-income countries. J Health Commun. 2014;19:190–215.
    1. Head R, Murray J, Sarrassat S. Can mass media interventions reduce child mortality? Lancet. 2015;386:97–100.
    1. Institut National de la Statistique et de la Démographie (INSD) INSD; Calverton (MD): 2012. Enquête démographique et de santé et à indicateurs multiples du Burkina Faso 2010. Co-published by ICF International. (accessed Sept 15, 2017).
    1. Liu L, Johnson HL, Cousens S. Global, regional and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012;379:2151–2161.
    1. Sarrassat S, Meda N, Ouedraogo M. Behavior change after 20 months of a radio campaign addressing key lifesaving family behaviors for child survival: midline results from a cluster randomized trial in rural Burkina Faso. Glob Health Sci Pract. 2015;3:557–576.
    1. Murray J, Remes P, Ilboudo R. The saturation + approach to behavior change: case study of a child survival radio campaign in Burkina Faso. Glob Health Sci Pract. 2015;3:544–556.
    1. Munos M, Guiella G, Roberton T. Independent evaluation of the rapid scale-up program to reduce under-five mortality in Burkina Faso. Am J Trop Med Hyg. 2016;94:584–595.
    1. Hayes RJ, Moulton LH. Chapman and Hall; Boca Raton (FL): 2009. Cluster randomised trials.
    1. Diehr P, Martin DC, Koepsell T, Cheadle A. Breaking the matches in a paired t-test for community interventions when the number of pairs is small. Stat Med. 1995;14:1491–1504.
    1. Croft T. Macro International, Institute for Research Development. Demographic and Health Surveys World Conference Proceedings, II. IRD/Macro international; Columbia, MD: 1991. Date Editing and Imputation; pp. 1337–1356.
    1. Cameron AC, Gelbach JB, Miller DL. Bootstrap-based improvements for inference with clustered errors. Rev Econ Stat. 2008;90:414–427.
    1. Rabe-Hesketh S, Skrondal A. 2nd edn. Stata Press; College Station, Texas: 2008. Multilevel and longitudinal modelling using Stata; p. 380.
    1. Efron B, Tibshirani RJ. Chapman and Hall; New York: 1993. An introduction to the bootstrap; p. 184.
    1. Feikin DR, Audi A, Olack B. Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya. Int J Epidemiol. 2010;39:450–458.
    1. Alam N, Henry FJ, Rahaman MM. Reporting errors in one-week diarrhoea recall surveys: experience from a prospective study in rural Bangladesh. Int J Epidemiol. 1989;18:697–700.
    1. Boerma JT, Black RE, Sommerfelt AE, Rutstein SO, Bicego GT. Accuracy and completeness of mothers' recall of diarrhoea occurrence in pre-school children in demographic and health surveys. Int J Epidemiol. 1991;20:1073–1080.
    1. Byass P, Hanlon PW. Daily morbidity records: recall and reliability. Int J Epidemiol. 1994;23:757–763.
    1. Ramakrishnan R, Venkatarao T, Koya PK, Kamaraj P. Influence of recall period on estimates of diarrhoea morbidity in infants in rural Tamil Nadu. Indian J Public Health. 1999;43:136–139.
    1. Gemignani R, Wodon Q. World Bank; 2012. How households choose between health providers? Results from qualitative fieldwork in Burkina Faso. (accessed Sept 15, 2017).
    1. Melberg A, Diallo AH, Tylleskar T, Moland KM. “We saw she was in danger, but couldn't do anything”: Missed opportunities and health worker disempowerment during birth care in rural Burkina Faso. BMC Pregnancy Childbirth. 2016;16:292.
    1. Robyn PJ, Fink G, Sié A, Sauerborn R. Health insurance and health-seeking behaviour: evidence from a randomized community-based insurance rollout in rural Burkina Faso. Soc Sci Med. 2010;75:595–603.
    1. Mugisha F, Bocar K, Dong H, Chepng'eno G, Sauerborn R. The two faces of enhancing utilization of health care services: determinants of patient initiation and retention in rural Burkina Faso. Bull World Health Organ. 2004;82:572–579.
    1. Beiersmann C, Sanou A, Wladarsch E, De Allegri M, Kouyaté B, Müller O. Malaria in rural Burkina Fao: local illness concepts, patterns of traditional treatment and influence on health-seeking behaviour. Malar J. 2007;6:106.
    1. Some DT, Zerbo R. Atypical etiology of malaria: local perceptions and practices for treatment and prevention in the department of Gaoua, Burkina Faso. Med Trop. 2007;67:43–47.
    1. Kouanda S, Baguiya A. Ministère de la Santé du Burkina Faso; 2012. Evaluation de la qualité des soins prodigués aux enfants de moins de cinq ans dans les formations sanitaires des régions du Nord et de Centre-Nord du Burkina Faso.

Source: PubMed

3
订阅