What makes the pregnant women revisit public hospitals for research? Participant engagement and retention trial in a public hospital (PERTH): an RCT protocol

Giridhara R Babu, Maithili Karthik, Deepa Ravi, Yamuna Ana, Prafulla Shriyan, Kiran Kumar Hasige, Keerti Deshpande, Lokesh Bangalore Siddlingaiah, Sanjay Kinra, Gudlavalleti Venkata Satyanarayana Murthy, Giridhara R Babu, Maithili Karthik, Deepa Ravi, Yamuna Ana, Prafulla Shriyan, Kiran Kumar Hasige, Keerti Deshpande, Lokesh Bangalore Siddlingaiah, Sanjay Kinra, Gudlavalleti Venkata Satyanarayana Murthy

Abstract

Background: Cohort studies have public health importance as they effectively provide evidence on determinants of health from a life course perspective. Researchers often confront the poor follow-up rates as a major challenge in the successful conduct of cohort studies. We are currently recruiting in a birth cohort study, titled as "Maternal Antecedents of Adiposity and Studying the Transgenerational role of Hyperglycemia and Insulin" (MAASTHI) in a public hospital; with the aim of assessing maternal glycemic levels on the risk of adverse fetal outcomes. Nested within the ongoing cohort, the proposed trial aims to evaluate the effectiveness of two interventions in improving the follow-up in the cohort study in a public hospital.

Methods: A randomized trial of 795 pregnant women, with 265 women each in three arms observed through pregnancy, until their baby is 14 weeks old. The comparator group receives a standard leaflet, with details on the importance of glucose testing and regular follow up in pregnancy. Intervention arm-1 will receive the standard leaflet plus individualized messages, through an Interactive Voice Response (IVR) system; a type of computer-linked telephone intervention system to remind the participants about the lab test and follow-up dates. Intervention arm- 2 will have the opportunity to attend Mother and Baby Affairs (MBA) workshops, which will provide information on Gestational Diabetes Mellitus (GDM) screening and management to pregnant women and personalized counselling services. The outcome of interest is the difference in the proportion of participants completing follow-up at different points in time, among three arms.

Discussion: Between the two interventions (IVR and MBA), the study results would uncover the contextually specific, timely intervention, which can increase the proportion of pregnant women followed up in public hospitals. If effective, this study will provide information on an effective intervention, useful in ensuring the success of longitudinal follow-up in the public hospitals.

Trial registration: NCT03088501 , Date Registered: 16/03/2017.

Keywords: Birth cohort; Care management; Cost-effective; Follow up; Health communication; Interactive voice response system; New technologies; Public hospital.

Conflict of interest statement

Ethics approval and consent to participate

We have obtained the ethical approval for the initial first wave of the cohort. The protocol for the proposed study was be reviewed and approved by the institutional ethical review board (IEC) at Bengaluru campus of Indian Institute of Public Health-Hyderabad, Bangalore. (Reference No IIPHHB/TRCIEC/117/2016). All the selected participants will be explained regarding the importance of participating in the trial and will be required to provide written informed consent.

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
Flowchart depicting the study design and allocation of participants to different study arms

References

    1. Antonisamy B, Raghupathy P, Christopher S, Richard J, Rao P, Barker DJ, Fall CH. Cohort profile: the 1969–73 Vellore birth cohort study in South India. Int J Epidemiol. 2008;38(3):663–669. doi: 10.1093/ije/dyn159.
    1. Huffman MD, Prabhakaran D, Osmond C, Fall CH, Tandon N, Lakshmy R, Ramji S, Khalil A, Gera T, Prabhakaran P. Incidence of cardiovascular risk factors in an Indian urban cohort. J Am Coll Cardiol. 2011;57(17):1765–1774. doi: 10.1016/j.jacc.2010.09.083.
    1. Patel MX, Doku V, Tennakoon L. Challenges in recruitment of research participants. Adv Psychiatr Treat. 2003;9(3):229–238. doi: 10.1192/apt.9.3.229.
    1. Rothman KJ, Greenland S, Lash TL. Modern epidemiology. Philadelphia: Lippincott Williams & Wilkins; 2008.
    1. Krishnaveni GV, Veena SR, Hill JC, Karat SC, Fall CH. Cohort profile: Mysore parthenon birth cohort. Int J Epidemiol. 2014;44(1):28–36. doi: 10.1093/ije/dyu050.
    1. Bhide P, Gund P, Kar A. Prevalence of congenital anomalies in an Indian maternal cohort: healthcare, prevention, and surveillance implications. PLoS One. 2016;11(11):e0166408. doi: 10.1371/journal.pone.0166408.
    1. Laishram J, Mukhia S, Thounaojam UD, Devi HS, Panmei J. Knowledge and practice of ante-natal care in an urban area. 2013.
    1. Vidler M, Ramadurg U, Charantimath U, Katageri G, Karadiguddi C, Sawchuck D, Qureshi R, Dharamsi S, Joshi A, von Dadelszen P, et al. Utilization of maternal health care services and their determinants in Karnataka State, India. Reprod Health. 2016;13(1):37. doi: 10.1186/s12978-016-0138-8.
    1. Sciences IIfP . Ministry of health and family welfare. 2015. National family health survey, India-4.
    1. Pai N, Supe P, Kore S, Nandanwar Y, Hegde A, Cutrell E, Thies W. Using automated voice calls to improve adherence to iron supplements during pregnancy: a pilot study. In: Proceedings of the sixth international conference on information and communication technologies and development: full papers-volume 1: 2013. New York: ACM; 2013. p. 153–63.
    1. Erich Weiss JEL, St. John Fisher. Randomized controlled trials of interactive voice response (IVR) systems to improve health outcomes: a review of the literature. 2014.
    1. Joseph J, Suggu K, Hariharan N, Esiru G, Yavuz E, Gross J, Mirembe B. Journal of the International Aids Society. Geneva: Int Aids Society Avenue De France 23; 2016. Increasing retention of HIV-positive pregnant and postnatal women and HIV-exposed infants: measuring the effects of follow-up activities and improved patient management in rural Uganda.
    1. Smith C, Gold J, Ngo TD, Sumpter C, Free C. Mobile phone-based interventions for improving contraception use: The Cochrane Library. New Jersey: Wiley; 2015.
    1. Reidel K, Tamblyn R, Patel V, Huang A. Pilot study of an interactive voice response system to improve medication refill compliance. BMC Med Inform Decis Mak. 2008;8(1):46. doi: 10.1186/1472-6947-8-46.
    1. Andersson C, Danielsson S, Silfverberg-Dymling G, Löndahl G, Johansson BA. Evaluation of interactive voice response (IVR) and postal survey in the follow-up of children and adolescents discharged from psychiatric outpatient treatment: a randomized controlled trial. Springerplus. 2014;3(1):77. doi: 10.1186/2193-1801-3-77.
    1. Khurana M. Case studies on E Governance in India. In: division NE-G, editor. AAROGYAM: an ICT-based community-centric approach for improving Reproductive and Child Health. 2013.
    1. Lunze K, Higgins-Steele A, Simen-Kapeu A, Vesel L, Kim J, Dickson K. Innovative approaches for improving maternal and newborn health-a landscape analysis. BMC Pregnancy Childbirth. 2015;15(1):337. doi: 10.1186/s12884-015-0784-9.
    1. Babu GR, Murthy G, Deepa R, Kumar HK, Karthik M, Deshpande K, Neelon SEB, Prabhakaran D, Kurpad A, Kinra S. Maternal antecedents of adiposity and studying the transgenerational role of hyperglycemia and insulin (MAASTHI): a prospective cohort study. BMC Pregnancy Childbirth. 2016;16(1):311. doi: 10.1186/s12884-016-1088-4.
    1. Eldredge LKB, Parcel GS, Kok G, Gottlieb NH. Planning health promotion programs: an intervention mapping approach. New Jersey: Wiley; 2011.
    1. Ryan RM, Kuhl J, Deci EL. Nature and autonomy: an organizational view of social and neurobiological aspects of self-regulation in behavior and development. Dev Psychopathol. 1997;9(4):701–728. doi: 10.1017/S0954579497001405.
    1. Gollwitzer PM, Sheeran P. Implementation intentions and goal achievement: a meta-analysis of effects and processes. Adv Exp Soc Psychol. 2006;38:69–119. doi: 10.1016/S0065-2601(06)38002-1.
    1. Crawford AG, Sikirica V, Goldfarb N, Popiel RG, Patel M, Wang C, Chu JB, Nash DB. Interactive voice response reminder effects on preventive service utilization. Am J Med Qual. 2005;20(6):329–336. doi: 10.1177/1062860605281176.
    1. Kim H, Bracha Y, Tipnis A. Automated depression screening in disadvantaged pregnant women in an urban obstetric clinic. Arch Womens Ment Health. 2007;10(4):163–169. doi: 10.1007/s00737-007-0189-5.
    1. Steinberg DM, Levine EL, Lane I, Askew S, Foley PB, Puleo E, Bennett GG. Adherence to self-monitoring via interactive voice response technology in an eHealth intervention targeting weight gain prevention among black women: randomized controlled trial. J Med Internet Res. 2014;16(4):e114. doi: 10.2196/jmir.2996.
    1. Shaw WS, Verma SK. Data equivalency of an interactive voice response system for home assessment of back pain and function. Pain Res Manag. 2007;12(1):23. doi: 10.1155/2007/185863.
    1. Pollak KI, Alexander SC, Bennett G, Lyna P, Coffman CJ, Bilheimer A, Farrell D, Bodner ME, Swamy GK, Østbye T. Weight-related SMS texts promoting appropriate pregnancy weight gain: a pilot study. Patient Educ Couns. 2014;97(2):256–260. doi: 10.1016/j.pec.2014.07.030.
    1. Sullivan KM, Dean A, Soe MM. OpenEpi: a web-based epidemiologic and statistical calculator for public health. Public Health Rep. 2009;124(3):471–474. doi: 10.1177/003335490912400320.
    1. Kelsey JL. Methods in observational epidemiology. USA: Oxford University Press; 1996.
    1. Johnson JE, Fieler VK, Wlasowicz GS, Mitchell ML, Jones LS. Oncology nursing forum: 1997. 1997. The effects of nursing care guided by self-regulation theory on coping with radiation therapy; pp. 1041–1050.
    1. Kranzler HR, A-H K, Tennen H, Feinn R, Young K. Using daily interactive voice response technology to measure drinking and related behaviors in a pharmacotherapy study. Alcohol Clin Exp Res. 2004;28(7):1060–1064. doi: 10.1097/01.ALC.0000130806.12066.9C.
    1. Alemi F, Stephens R, Parran T, Llorens S, Bhatt P, Ghadiri A, Eisenstein E. Automated monitoring of outcomes: application to treatment of drug abuse. Med Decis Mak. 1994;14(2):180–187. doi: 10.1177/0272989X9401400211.
    1. Dyson L, McCormick FM, Renfrew MJ. Interventions for promoting the initiation of breastfeeding. Cochrane Database Syst Rev. 2005;(2):CD001688. 10.1002/14651858.CD001688.pub2.
    1. Campbell MK, Carbone E, Honess-Morreale L, Heisler-MacKinnon J, Demissie S, Farrell D. Randomized trial of a tailored nutrition education CD-ROM program for women receiving food assistance. J Nutr Educ Behav. 2004;36(2):58–66. doi: 10.1016/S1499-4046(06)60134-6.
    1. Svensson J, Barclay L, Cooke M. Randomised-controlled trial of two antenatal education programmes. Midwifery. 2009;25(2):114–125. doi: 10.1016/j.midw.2006.12.012.
    1. Rolls C, Cutts D. Pregnancy-to-parenting education: creating a new approach. Birth Issues. 2001;10(2):53–58.
    1. Lee H, Friedman ME, Cukor P, Ahern D. Interactive voice response system (IVRS) in health care services. Nurs Outlook. 2003;51(6):277–83.
    1. Hyman DJ, Ho KSI, Dunn JK, Simons-Morton D. Dietary intervention for cholesterol reduction in public clinic patients. Am J Prev Med. 1998;15(2):139–45.
    1. Barta WD, Portnoy DB, Kiene SM, Tennen H, Abu-Hasaballah KS, Ferrer R. A Daily Process Investigation of Alcohol-involved Sexual Risk Behavior Among Economically Disadvantaged Problem Drinkers Living with HIV/AIDS. AIDS Behav. 2008;12(5):729–40. 10.1007/s10461-007-9342-4.

Source: PubMed

3
Se inscrever