9 research outputs found

    Birth preparedness and complication readiness among men in previous pregnancy.

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    <p>Multiple responses possible.</p><p>Birth preparedness and complication readiness among men in previous pregnancy.</p

    Men’s knowledge of danger signs during pregnancy, childbirth and postpartum.

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    <p>Multiple responses possible.</p><p>Men’s knowledge of danger signs during pregnancy, childbirth and postpartum.</p

    Socio-demographic characteristics of men and spouse’s obstetric characteristics in the Rufiji District (N = 725).

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    <p>Socio-demographic characteristics of men and spouse’s obstetric characteristics in the Rufiji District (N = 725).</p

    Association between selected socio-demographic characteristics, obstetric characteristics, knowledge of danger signs and birth preparedness and complication readiness.

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    <p>*<i>p</i> value<0.05.</p><p>**<i>p</i> value<0.001.</p><p>Association between selected socio-demographic characteristics, obstetric characteristics, knowledge of danger signs and birth preparedness and complication readiness.</p

    Frequencies of potential factors associated with four or more antenatal care visits (ANC 4) in Tanzania.<sup>*</sup>

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    <p>*Only women who had births in the 2 years preceding the TDHS survey interview were included.</p>†<p>If woman received ANC at multiple types of health facility (<10% of total in each TDHS), the highest type was used.</p

    Additional file 1: Figure S1. of Profile, knowledge, and work patterns of a cadre of maternal, newborn, and child health CHWs focusing on preventive and promotive services in Morogoro Region, Tanzania

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    Overview of Integrated Program MNCH CHW rollout per district. Figure S2. Mean composite scores for CHW knowledge and reported service provision on maternal and child health care across the continuum of care and for specific services. Figure S3. Observed use of job aids during pregnancy home visits (n = 37). Table S1. Ordered logistic regression models for composite scores for overall CHW knowledge and specific sub-domains of pregnancy, postpartum, newborn care, and child health controlling for gender, date of training, education, age, and assets. Table S2. Ordered logistic regression models for composite scores for family planning, infection/injury prevention, malaria, HIV transmission, and nutrition controlling for gender, date of training, education, age, and assets
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