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A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Pilot Randomized Controlled Trial of an Interconception Intervention Provided by Public Health Nurses
Saranyah Ravindran1, Shaira Yoganathan2, Zoe F Cairncross1
1Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Objectives:
Preconception health impacts perinatal outcomes, but the difficulty in engaging reproductive-aged individuals in health promotion activities is a barrier to effective implementation of preconception interventions. Since most women have more than one pregnancy and many risk factors repeat across pregnancies, the time between pregnancies-the interconception period-may be an opportune time to improve health. Our objective was to examine the feasibility and acceptability of an interconception intervention delivered by public health nurses.
Methods:
We conducted a pilot randomized controlled trial in three small urban and rural public health units in Ontario, Canada, in 2017-2018 among women who were ≥ 18 years of age and between 2 and 12 months postpartum after a first birth. Women randomly allocated to the intervention group received a preconception risk assessment, tailored health education, and referral for clinical follow-up as needed, while those in the control group received standard care. Primary outcomes were intervention feasibility, adherence, and acceptability.
Results:
Of 66 eligible women, 61% agreed to participate and were randomized to the intervention (n = 16) or control (n = 24) groups. The follow-up rate was 78% at 1 month and 71% at 3 months. Most women (83%) were satisfied with the intervention, including the number and length of sessions and content of recommendations.
Conclusions For Practice:
Results demonstrate the potential feasibility and acceptability of an interconception intervention delivered in a public health setting. The short- and long-term impacts of the intervention on knowledge, behavior, and health should be tested in a larger sample.
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