Conditional cash transfers to retain rural Kenyan women in the continuum of care during pregnancy, birth and the postnatal period: protocol for a cluster randomized controlled trial

Caroline A Ochieng, Hassan Haghparast-Bidgoli, Neha Batura, Aloyce Odhiambo, Geordan Shannon, Andrew Copas, Tom Palmer, Sarah Dickin, Stacey Noel, Matthew Fielding, Sangoro Onyango, Sarah Odera, Alie Eleveld, Alex Mwaki, Fedra Vanhuyse, Jolene Skordis, Caroline A Ochieng, Hassan Haghparast-Bidgoli, Neha Batura, Aloyce Odhiambo, Geordan Shannon, Andrew Copas, Tom Palmer, Sarah Dickin, Stacey Noel, Matthew Fielding, Sangoro Onyango, Sarah Odera, Alie Eleveld, Alex Mwaki, Fedra Vanhuyse, Jolene Skordis

Abstract

Background: Antenatal care (ANC), facility delivery and postnatal care (PNC) are proven to reduce maternal and child mortality and morbidity in high-burden settings. However, few pregnant rural women use these services sufficiently. This study aims to assess the impact, cost-effectiveness and scalability of conditional cash transfers to promote increased contact between pregnant women or women who have recently given birth and the formal healthcare system in Kenya.

Methods: The intervention tested is a conditional cash transfer to women for ANC health visits, a facility birth and PNC visits until their newborn baby reaches 1 year of age. The study is a cluster randomized controlled trial in Siaya County, Kenya. The trial clusters are 48 randomly selected public primary health facilities, 24 of which are in the intervention arm of the study and 24 in the control arm. The unit of randomization is the health facility. A target sample of 7200 study participants comprises pregnant women identified and recruited at their first ANC visit over a 12-month recruitment period and their subsequent newborns. All pregnant women attending one of the selected trial facilities for their first ANC visit during the recruitment period are eligible for the trial and invited to participate. Enrolled mothers are followed up at all health visits during their pregnancy, at facility delivery and for a number of visits after delivery. They are also contacted at three additional time points after enrolling in the study: 5-10days after enrolment, 6 months after the expected delivery date and 12 27 months after birth. If they have not delivered in a facility, there is an additional follow-up 2 wees after the expected due date. The impact of the conditional cash transfers on maternal healthcare services and utilization will be measured by the trial's primary outcomes: the proportion of all eligible ANC visits made during pregnancy, delivery at a health facility, the proportion of all eligible PNC visits attended, the proportion of referrals attended during the pregnancy and the postnatal period, and the proportion of eligible child immunization appointments attended. Secondary outcomes include; health screening and infection control, live birth, maternal and child survival 48 h after delivery, exclusive breastfeeding, post-partum contraceptive use and maternal and newborn morbidity. Data sources for the measurement of outcomes include routine health records, an electronic card-reader system and telephone surveys and focus group discussions. A full economic evaluation will be conducted to assess the cost of delivery and cost effectiveness of the intervention and the benefit incidence and equity impact of trial activities and outcomes.

Discussion: This trial will contribute to evidence on the effectiveness and cost-effectiveness of conditional cash transfers in facilitating health visits and promoting maternal and child health in rural Kenya and in other comparable contexts.

Trial registration: ClinicalTrials.gov, NCT03021070 . Registered on 13 January 2017.

Keywords: Antenatal care; Child immunization; Cluster randomized controlled trial; Conditional cash transfers; Facility delivery; Kenya; Maternal and child health; Postnatal care.

Conflict of interest statement

Ethics approval and consent to participate

The study has received ethics approval from the Maseno University Ethics Review Committee, REF MSU/DRPI/MUERC/00294/16. The trial has been registered with Prior to enrolment into the study, participants are given information about the study (see Additional file 3: Participant information sheet) by the enrolling facility staff. The information is shared verbally in the participant’s local language (Dholuo and Swahili), and augmented by an animated video produced for the study that is shown to eligible participants when they visit the clinic. All potential participants are informed that their participation in the study is voluntary, and that even after enrolment they can elect to withdraw from the study at any time they choose Participants are also informed that their choice to participate or not participate in the study would not affect their access to health services or treatment, and that there is no penalty for not participating in the study. Those who agree to participate sign the informed consent form (see Additional file 4: Informed consent forms). Study participants are given a take-home information sheet in the form of a calendar. The calendar contains contact information of the research team who they can call if they have any follow-up questions.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Schedule of enrolment, interventions and assessments. *MNCH appointments/visits – Standard maternal and child health visits described in Additional file 1. **Covariates - see Table 1. ***Health outcomes - see Additional file 2. MNCH, maternal, newborn and child health; ANC, antenatal care; PNC, postnatal care
Fig. 2
Fig. 2
Theory of change. MNCH, maternal, newborn and child health; ANC, antenatal care; PNC, postnatal care; EBF, Exclusively breastfeeding

References

    1. WHO. PMNCH Fact Sheet: RMNCH continuum of care Reproductive, maternal, newborn and child health. 2011. Available from: .
    1. Rollins NC, Becquet R, Orne-Gliemann J, Phiri S, Hayashi C, Baller A, et al. Defining and analyzing retention-in-care among pregnant and breastfeeding HIV-infected women: unpacking the data to interpret and improve PMTCT outcomes. J Acquir Immune Defic Syndr. 2014;67(suppl 2):S150–S1S6. doi: 10.1097/QAI.0000000000000355.
    1. Lincetto O, Mothebesoane-Anoh S, Gomez P, Munjanja S. Antenatal care: opportunities for Africa’s newborns. New York: World Health Organization; 2010.
    1. Lawn J, Kerber K. Opportunities for Africa’s newborns: practical data policy and programmatic support for newborn care in Africa; 2006. Available from: .
    1. Warren C, Daly P, Lalla Toure PM. Opportunities for Africa’s Newborn, Postnatal Care; 2010. Available from: .
    1. Do M, Hotchkiss D. Relationships between antenatal and postnatal care and 1101 post-partum modern contraceptive use: evidence from population surveys 1102 in Kenya and Zambia. BMC Health Serv Res. 2013;13(1):6. Available from: .
    1. Lidoroh SA. Factors associated with utilization of maternal health care services in Western Province, Kenya; 2013. Available from: .
    1. Moyer CA, Mustafa A. Drivers and deterrents of facility delivery in sub Saharan Africa: a systematic review. Reprod Health. 2013;10(1):40. Available from: .
    1. Obonyo J. Kenya National Bureau Of Statistics (KNBS) and ICF Macro. Kenya Demographic And Health Survey 2008–09; 2010. Available from: .
    1. Pell C, Meñaca A, Were F, Afrah NA, Chatio S, Manda-Taylor L, et al. Factors affecting antenatal care attendance: results from qualitative studies in Ghana, Kenya and Malawi. PLoS One. 2013;8(1):e53747. doi: 10.1371/journal.pone.0053747.
    1. Chapman RR. Endangering safe motherhood in Mozambique: prenatal care as pregnancy risk. Soc Sci Med. 2003;57(2):355–374. doi: 10.1016/S0277-9536(02)00363-5.
    1. Post EP, Cruz M, Harman J. Incentive payments for attendance at appointments for depression among low-income African Americans. Psychiatr Serv. 2006;57(3):414–416. doi: 10.1176/appi.ps.57.3.414.
    1. Malotte CK, Rhodes F, Mais KE. Tuberculosis screening and compliance with return for skin test reading among active drug users. Am J Public Health. 1998;88(5):792–796. doi: 10.2105/AJPH.88.5.792.
    1. Seal KH, Kral AH, Lorvick J, McNees A, Gee L, Edlin BR. A randomized controlled trial of monetary incentives vs. outreach to enhance adherence to the hepatitis B vaccine series among injection drug users. Drug Alcohol Depend. 2003;71(2):127–131. doi: 10.1016/S0376-8716(03)00074-7.
    1. Achat H, McIntyre P, Burgess M. Health care incentives in immunisation. Aust N Z J Public Health. 1999;23(3):285–288. doi: 10.1111/j.1467-842X.1999.tb01257.x.
    1. Marteau TM, Ashcroft RE, Oliver A. Using financial incentives to achieve healthy behaviour. BMJ. 2009;338:b1415. 10.1136/bmj.b1415.
    1. Beith A, Eichler R, Weil D. Performance-based incentives for health: a way to improve tuberculosis detection and treatment completion? CGD Working Paper. Center for Global Development. 2007;122:32.
    1. Hill JP, Ramachandran G. A simple scheme to improve compliance in patients taking tuberculosis medication. Trop Dr. 1992;22(4):161–163.
    1. Davis B, Gaarder M, Handa S, Yablonski J. Evaluating the impact of cash transfer programmes in sub-Saharan Africa: an introduction to the special issue. J Dev Effect. 2012;4(1):1–8. doi: 10.1080/19439342.2012.659024.
    1. Kahn C, Iragua M, Baganizi M, Kolenic GE, Paccione GA, Tejani N. Cash transfers to increase antenatal care utilization in Kisoro, Uganda: a pilot study. Afr J Reprod Health. 2015;19(3):144–150.
    1. Government SC. Siaya County Integrated Development Plan 2013–2017. 2014. Available from: .
    1. UNDP K . Kenya National Human Development Report 2009: youth and human development: tapping the untapped resource. Nairobi: UNDP Kenya; 2010.
    1. UNICEF. Kenya National Bureau of Statistics United Nations Children’s Fund. Siaya County Multiple Indicator Cluster Survey 2011. 2013. Available from: .
    1. Mwangi TW. Exploring Kenya’s inequality: pulling apart or pooling together? National report; 2013. Available from: .
    1. County MoHS. Health at a glance. 2015. Available from: .
    1. Kenya MoH. Kenya health policy 2014-2030. Policy report. Nairobi: Ministry of Health; 2014. Available from: .
    1. Ministry of Health K . Kenya Master Health Facility list Nairobi, Kenya. Kenya: Ministry of Health; 2017.
    1. Chuma J, Maina T. Free maternal care and removal of user fees at primarylevel facil ities in Kenya. Monitoring the implementation and impact: Baseline report; 2014. Available from: .
    1. Fielding M, Ochieng C, Odero B. Transforming Africa! - Partnerships for innovations that truly impact people and societies. 2016. From paper to data: taking medical health records into the future; p. 136.
    1. De Silva MJ, Breuer E, Lee L, Asher L, Chowdhary N, Lund C, Patel V. Theory of change: a theory-driven approach to enhance the Medical Research Council’s framework for complex interventions. Trials. 2014;15(1):267. doi: 10.1186/1745-6215-15-267.
    1. Mazur JE. An adjusting procedure for studying delayed reinforcement. In: Commons, Mazur ML, Nevin JE, Rachlin JA and, H., Eds., The Effect of Delay and of Intervening Events on Reinforcement Value, Quantitative Analyses of Behavior, Erlbaum, Hillsdale, New Jersey. 1987;55–73.
    1. Adams J, Giles EL, McColl E, Sniehotta FF. Carrots, sticks and health behaviours: a framework for documenting the complexity of financial incentive interventions to change health behaviours. Health Psychol Rev. 2014;8(3):286–295. doi: 10.1080/17437199.2013.848410.
    1. Giles EL, Robalino S, McColl E, Sniehotta FF, Adams J. The effectiveness of financial incentives for health behaviour change: systematic review and meta-analysis. PLoS One. 2014;9(3):e90347. doi: 10.1371/journal.pone.0090347.
    1. Grant A, Treweek S, Dreischulte T, Foy R, Guthrie B. Process evaluations for cluster-randomised trials of complex interventions: a proposed framework for design and reporting. Trials. 2013;14(1):15. doi: 10.1186/1745-6215-14-15.
    1. Mbindyo PM, Blaauw D, Gilson L, English M. Developing a tool to measure health worker motivation in district hospitals in Kenya. Hum Resour Health. 2009;7(1):40. doi: 10.1186/1478-4491-7-40.
    1. Kanfer R. Major Applied Research 5 Working Paper 1: Measuring Health Worker Motivation in Developing Countries. Atlanta, GA: Partnerships for Health Reform & School of Psychology, Georgia Institute of Technology; Abt Associates Inc; 1999. Available from: .
    1. Dolea C, Adams O. Motivation of health care workers-review of theories and empirical evidence. Cahiers de sociologie et de demographie medicales. 2005;45:1:135-61.
    1. Organization WH. Increasing access to health workers in remote and rural areas through improved retention: global policy recommendations. Switzerland: World Health Organization; 2010. Available from: .
    1. Dalaba MA, Akweongo P, Savadogo G, Saronga H, Williams J, Sauerborn R, et al. Cost of maternal health services in selected primary care centres in Ghana: a step down allocation approach. BMC Health Serv Res. 2013;13(1):287. doi: 10.1186/1472-6963-13-287.
    1. Bozzani FM, Arnold M, Colbourn T, Lufesi N, Nambiar B, Masache G, et al. Measurement and valuation of health providers’ time for the management of childhood pneumonia in rural Malawi: an empirical study. BMC Health Serv Res. 2016;16(1):314. doi: 10.1186/s12913-016-1573-5.
    1. Settumba SN, Sweeney S, Seeley J, Biraro S, Mutungi G, Munderi P, et al. The health system burden of chronic disease care: an estimation of provider costs of selected chronic diseases in Uganda. Tropical Med Int Health. 2015;20(6):781–790. doi: 10.1111/tmi.12487.
    1. Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press; 2015.
    1. NICE . How NICE measures value for money in relation to public health interventions. London: NICE; 2013.
    1. DAMOCLES Study Group A proposed charter for clinical trial data monitoring committees: helping them to do their job well. Lancet. 2005;365(9460):711–722. doi: 10.1016/S0140-6736(05)70939-9.
    1. Campbell MK, Elbourne DR, Altman DG. CONSORT statement: extension to cluster randomised trials. BMJ. 2004;328(7441):702–708. doi: 10.1136/bmj.328.7441.702.
    1. Schulz KF, Altman DG, Moher D. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. BMC Med. 2010;8(1):18. doi: 10.1186/1741-7015-8-18.

Source: PubMed

3
订阅