Effect and cost-effectiveness of educating mothers about childhood DPT vaccination on immunisation uptake, knowledge, and perceptions in Uttar Pradesh, India: A randomised controlled trial

Timothy Powell-Jackson, Camilla Fabbri, Varun Dutt, Sarah Tougher, Kultar Singh, Timothy Powell-Jackson, Camilla Fabbri, Varun Dutt, Sarah Tougher, Kultar Singh

Abstract

Background: To assess the effect of health information on immunisation uptake in rural India, we conducted an individually randomised controlled trial of health information messages targeting the mothers of unvaccinated or incompletely vaccinated children through home visits in rural Uttar Pradesh, India.

Methods and findings: The study tested a brief intervention that provided mothers face-to-face with information on the benefits of the tetanus vaccine. Participants were 722 mothers of children aged 0-36 months who had not received 3 doses of diphtheria-pertussis-tetanus (DPT) vaccine (DPT3). Mothers were randomly assigned in a ratio of 1:1:1 to 1 of 3 study arms: mothers in the first treatment group received information framed as a gain (e.g., the child is less likely to get tetanus and more likely to be healthy if vaccinated), mothers in the second treatment group received information framed in terms of a loss (e.g., the child is more likely to get tetanus and suffer ill health if not vaccinated), and the third arm acted as a control group, with no information given to the mother. Surveys were conducted at baseline (September 2015) and after the intervention (April 2016). The primary outcome was the proportion of children who had received DPT3 measured after 7 months of follow-up. The analysis was by intention to treat. A total of 16 (2.2%) participants were lost to follow-up. The coverage of DPT3 was 28% in the control group and 43% in the pooled information groups, giving a risk difference of 15 percentage points (95% CI: 7% to 22%, p < 0.001) and a relative risk of 1.52 (95% CI: 1.2 to 1.9, p < 0.001). The information intervention increased the rate of measles vaccination by 22 percentage points (risk difference: 22%, 95% CI: 14% to 30%, p < 0.001; relative risk: 1.53, 95% CI: 1.29 to 1.80) and the rate of full immunisation by 14 percentage points (risk difference: 14%, 95% CI: 8% to 21%, p < 0.001; relative risk: 1.72, 95% CI: 1.29 to 2.29). It had a large positive effect on knowledge of the causes, symptoms, and prevention of tetanus but no effect on perceptions of vaccine efficacy. There was no difference in the proportion of children with DPT3 between the group that received information framed as a loss and the group that received information framed as a gain (risk difference: 4%, 95% CI: -5% to 13%; p = 0.352; relative risk: 1.11, 95% CI: 0.90 to 1.36). The cost per disability-adjusted life year averted of providing information was US$186, making the intervention highly cost-effective with respect to the WHO-recommended threshold of once the gross domestic product per capita (US$793 in the case of Uttar Pradesh). Key study limitations include the modest sample size for this trial, limiting power to detect small differences in the framing of information, and the potential for contamination among households.

Conclusions: Providing mothers of unvaccinated/incompletely vaccinated children with information on tetanus and the benefits of DPT vaccination substantially increased immunisation coverage and was highly cost-effective. The framing of the health information message did not appear to matter.

Trial registration: The trial is registered with ISRCTN, number ISRCTN84560580.

Conflict of interest statement

I have read the journal's policy and the authors of this manuscript have the following competing interests: TP-J, CF, and ST report receiving a research grant from Merck, through its Merck for Mothers program. All remaining authors declare that they have no competing interests relevant to this work.

Figures

Fig 1. Trial flow of study participants.
Fig 1. Trial flow of study participants.
Fig 2. Tetanus knowledge items by treatment…
Fig 2. Tetanus knowledge items by treatment group.
The figure shows the treatment effect on each knowledge item. Each point is the mean of the knowledge item at endline.
Fig 3. Effect of information on perceptions…
Fig 3. Effect of information on perceptions of tetanus vaccination efficacy for women with different levels of baseline perceptions.
The figure shows the effect of the information intervention on perceptions of vaccine efficacy in 2 subgroups of mothers: those with initial perceptions of efficacy of the tetanus vaccine above 50% and those with initial perceptions of efficacy below 50%. Error bars indicate 95% CIs.

References

    1. Liu L, Oza S, Hogan D, Perin J, Rudan I, Lawn JE, et al. Global, regional, and national causes of child mortality in 2000–13, with projections to inform post-2015 priorities: an updated systematic analysis. Lancet. 2016;385:430–40.
    1. Bhutta ZA, Das JK, Walker N, Rizvi A, Campbell H, Rudan I, et al. Interventions to address deaths from childhood pneumonia and diarrhoea equitably: what works and at what cost? Lancet. 2013;381:1417–29. doi:
    1. Barnighausen T, Bloom DE, Cafiero-Fonseca ET, O’Brien JC. Valuing vaccination. Proc Natl Acad Sci U S A. 2014;111:12313–9. doi:
    1. Government of India Ministry of Health and Family Welfare. National Family Health Survey–4: 2015–2016. State fact sheet: Uttar Pradesh. New Delhi: Government of India; 2016.
    1. Larson HJ, Jarrett C, Eckersberger E, Smith DM, Paterson P. Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: a systematic review of published literature, 2007–2012. Vaccine. 2014;32:2150–9. doi:
    1. Mills E, Jadad AR, Ross C, Wilson K. Systematic review of qualitative studies exploring parental beliefs and attitudes toward childhood vaccination identifies common barriers to vaccination. J Clin Epidemiol. 2005;58:1081–8. doi:
    1. Shea B, Andersson N, Henry D. Increasing the demand for childhood vaccination in developing countries: a systematic review. BMC Int Health Hum Rights. 2009;9(Suppl 1):S5.
    1. Johri M, Perez MC, Arsenault C, Sharma JK, Pai NP, Pahwa S, et al. Strategies to increase the demand for childhood vaccination in low- and middle-income countries: a systematic review and meta-analysis. Bull World Health Organ. 2015;93:339–46C. doi:
    1. Oyo-Ita A, Wiysonge CS, Oringanje C, Nwachukwu CE, Oduwole O, Meremikwu MM. Interventions for improving coverage of childhood immunisation in low- and middle-income countries. Cochrane Database Syst Rev. 2016;7:CD008145 doi:
    1. Pereira SK, Kumar P, Dutt V, Haldar K, Penn-Kekana L, Santos A, et al. Protocol for the evaluation of a social franchising model to improve maternal health in Uttar Pradesh, India. Implement Sci. 2015;10:77 doi:
    1. Kahneman D, Tversky A. Prospect theory: an analysis of decision under risk. Econometrica. 1979;47:263–92.
    1. Tversky A, Kahneman D. Loss aversion in riskless choice: a reference-dependent model. Q J Econ. 1991;106:1039–61.
    1. Tversky A, Kahneman D. The framing of decisions and the psychology of choice. Science. 1981;211:453–8.
    1. Rothman AJ, Salovey P. Shaping perceptions to motivate healthy behavior: the role of message framing. Psychol Bull. 1997;121:3–19.
    1. Akl E, Oxman A, Herrin J, Vist G, Terrenato I. Framing of health information messages. Cochrane Database Syst Rev. 2011;12:CD006777.
    1. Vashishtha VM, Choudhury P, Kalra A, Bose A, Thacker N, Yewale VN, et al. Indian Academy of Pediatrics (IAP) recommended immunization schedule for children aged 0 through 18 years—India, 2014 and updates on immunization. Indian Pediatr. 2014;51:785–800.
    1. Dupas P. Short-run subsidies and long-run adoption of new health products: evidence from a field experiment. Econometrica. 2014;82:197–228. doi:
    1. Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes. 4th edition. Oxford: Oxford University Press; 2015.
    1. Fulton T, Phadke V, Orenstein W, Hinman A, Johnson W, Omer S. Protective effect of contemporary pertussis vaccines: a systematic review and meta-analysis. Clin Infect Dis. 2016;62:1100–10. doi:
    1. Sudfeld CR, Navar AM, Halsey NA. Effectiveness of measles vaccination and vitamin A treatment. Int J Epidemiol. 2010;39(Suppl 1):i48–55.
    1. Morris S, Awasthi S, Kumar R, Shet A, Khera A, Nakhaee F, et al. Measles mortality in high and low burden districts of India: estimates from a nationally representative study of over 12,000 child deaths. Vaccine. 2013;31:4655–61. doi:
    1. World Health Organization. Global Health Observatory Data Repository: distribution of causes of death among children aged <5 years. Geneva: World Health Organization; 2016.
    1. Office of the Registrar General & Census Commissioner. SRS Based Life Table 2011–15. New Delhi: Office of the Registrar General & Census Commissioner; 2017.
    1. Bangure D, Chirundu D, Gombe N, Marufu T, Mandozana G, Tshimanga M, et al. Effectiveness of short message services reminder on childhood immunization programme in Kadoma, Zimbabwe—a randomized controlled trial, 2013. BMC Public Health. 2015;15:137 doi:
    1. Brown VB, Oluwatosin OA, Akinyemi JO, Adeyemo AA. Effects of community health nurse-led intervention on childhood routine immunization completion in primary health care centers in Ibadan, Nigeria. J Community Health. 2016;41:265–73. doi:
    1. Domek GJ, Contreras-Roldan IL, O’Leary ST, Bull S, Furniss A, Kempe A, et al. SMS text message reminders to improve infant vaccination coverage in Guatemala: a pilot randomized controlled trial. Vaccine. 2016;34:2437–43. doi:
    1. Gibson DG, Ochieng B, Kagucia EW, Were J, Hayford K, Moulton LH, et al. Mobile phone-delivered reminders and incentives to improve childhood immunisation coverage and timeliness in Kenya (M-SIMU): a cluster randomised controlled trial. Lancet Glob Health. 2017;5:e428–38. doi:
    1. Haji A, Lowther S, Ngan’ga Z, Gura Z, Tabu C, Sandhu H, et al. Reducing routine vaccination dropout rates: evaluating two interventions in three Kenyan districts, 2014. BMC Public Health. 2016;16:152 doi:
    1. Givord P, Romanello L. Evaluation of a community-based information campaign on health demand in Mali: results from a natural experiment CREST Working Paper. Palaiseau (France): Centre de Recherche en Économie et Statisique; 2011.
    1. Lucas PJ, Cabral C, Colford JM Jr. Dissemination of drinking water contamination data to consumers: a systematic review of impact on consumer behaviors. PLoS ONE. 2011;6:e21098 doi:
    1. Jalan J, Somanathan E. The importance of being informed: experimental evidence on demand for environmental quality. J Dev Econ. 2008;87:14–28.
    1. Madajewicz M, Pfaff A, van Geen A, Graziano J, Hussein I, Momotaj H, et al. Can information alone change behavior? Response to arsenic contamination of groundwater in Bangladesh. J Dev Econ. 2007;84:731–54.
    1. Luoto J, Levine D, Albert J. Information and persuasion. Achieving safe water behaviors in Kenya. Santa Monica (CA): RAND; 2011.
    1. Meredith J, Robinson J, Walker S, Wydick B. Keeping the doctor away: experimental evidence on investment in preventative health products. J Dev Econ. 2013;105:196–210.
    1. Rhee M, Sissoko M, Perry S, McFarland W, Parsonnet J, Doumbo O. Use of insecticide-treated nets (ITNs) following a malaria education intervention in Piron, Mali: a control trial with systematic allocation of households. Malar J. 2005;4:35 doi:
    1. Godlonton S, Munthali A, Thornton R. Responding to risk: circumcision, information, and HIV prevention. Rev Econ Stat 2016;98:333–49.
    1. Ashraf N, Jack BK, Kamenica E. Information and subsidies: complements or substitutes? J Econ Behav Organ. 2013;88:133–9.
    1. Banerjee A, Duflo E, Glennerster R. Improving immunisation coverage in rural India: clustered randomised controlled evaluation of immunisation campaigns with and without incentives. BMJ. 2010;340:c2220 doi:
    1. Kim DA, Hwong AR, Stafford D, Hughes DA, O’Malley AJ, Fowler JH, et al. Social network targeting to maximise population behaviour change: a cluster randomised controlled trial. Lancet. 2015;386:145–53. doi:
    1. Banerjee A, Chandrasekhar A, Duflo E, Jackson M. Gossip: identifying central individuals in a social network. NBER Working Paper 20422. Cambridge (MA): National Bureau of Economic Research; 2014.
    1. Jackson MO. Social and economic networks. Princeton (NJ): Princeton University Press; 2008.

Source: PubMed

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