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ORIGINAL ARTICLE
Open Access

Participation in a Community-Based Women's Health Education Program and At-Risk Child Development in Rural Kenya: Developmental Screening Questionnaire Results Analysis

Megan S. McHenry, Lauren Y. Maldonado, Ziyi Yang, Gertrude Anusu, Evelyn Kaluhi, Astrid Christoffersen-Deb, Julia J. Songok and Laura J. Ruhl
Global Health: Science and Practice December 2021, 9(4):818-831; https://doi.org/10.9745/GHSP-D-20-00349
Megan S. McHenry
aAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
bIndiana University School of Medicine, Indianapolis, IN, USA.
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  • For correspondence: msuhl{at}iu.edu
Lauren Y. Maldonado
aAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
cMassachusetts General Hospital, Departments of Medicine and Pediatrics, Boston, MA, USA.
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Ziyi Yang
bIndiana University School of Medicine, Indianapolis, IN, USA.
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Gertrude Anusu
aAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
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Evelyn Kaluhi
aAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
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Astrid Christoffersen-Deb
aAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
dUniversity of British Columbia, Department of Obstetrics and Gynecology, Vancouver, Canada.
eUniversity of Toronto, Department of Obstetrics and Gynecology, Toronto, Canada.
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Julia J. Songok
aAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
fMoi University College of Health Sciences, Department of Child Health and Paediatrics, Eldoret, Kenya.
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Laura J. Ruhl
aAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
bIndiana University School of Medicine, Indianapolis, IN, USA.
fMoi University College of Health Sciences, Department of Child Health and Paediatrics, Eldoret, Kenya.
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    FIGURE

    Cluster-Randomized Controlled Trial Profile and Study Inclusion Criteria of Maternal Participation in a Community-Based Women's Health Education Program in Rural Kenya

    Abbreviations: CUs, community health units; DSQ, developmental screening questionnaire; Chamas, Chamas for Change Program.

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    TABLE 1.

    Characteristics of Women Included in a Cluster-Randomized Study on the Effect of Maternal Participation in a Women's Health Education Intervention on Early Childhood Development, Tranz Nzoia County, Kenya

    Total (N=1,273) N (%)Intervention (n=689) n (%)Control (n=584) n (%)P Value
    Child's age, months, mean (SD)10.9 (2.3)11.2 (2.4)10.5 (2.2)<.001
    Mother's age, years, mean (SD)26.8 (6.4)27.0 (6.6)26.7 (6.1).341
    Categorized mother's age, years
        <1848 (3.8)32 (4.8)16 (2.8)
        18–24462 (36.8)240 (35.8)222 (38.1)
        25–32487 (38.8)259 (38.6)228 (39.2)
        >32256 (20.4)140 (20.9)116 (19.9).266
            Missing data (n)20182
    Marital status
        Single/divorced/separation/widowed206 (16.2)117 (17.0)89 (15.2)
        Married1067 (83.8)572 (83.0)495 (84.8).401
    Employment status
        Unemployed802 (63.0)437 (63.4)365 (62.5)
        Temporary work74 (5.8)41 (6.0)33 (5.7)
        Self-employed/permanently employed397 (31.2)211 (30.6)186 (31.9).885
    Highest educational level of household head*
        Pre-primary/none/other181 (14.3)87 (12.7)94 (16.1)
        Primary592 (46.6)342 (49.9)250 (42.8)
        Secondary/post-primary/ vocational391 (30.8)218 (31.9)173 (29.6)
        College or higher106 (8.4)39 (5.7)67 (11.5)
            Missing data (n)330<.001
    Highest educational level of any membera
        Pre-primary/none/other103 (8.2)44 (6.5)59 (10.1)
        Primary485 (38.5)268 (39.6)217 (37.2)
        Secondary/post-primary/vocational468 (37.1)272 (40.2)196 (33.6)
        College or higher205 (16.3)93 (13.7)112 (19.2).002
            Missing data (n)12120
    Household food access (during last 7 days)a
        Bread834 (65.8)439 (64.3)395 (67.6).209
            Missing data (n)660
        Meat/fish924 (72.8)488 (71.2)436 (74.7).173
            Missing data (n)440
        Bananas782 (62.0)405 (59.6)377 (64.8).057
            Missing data (n)1192
    Household itemsa
        Towels761 (59.9)398 (58.0)363 (62.2).134
            Missing data (n)330
        Thermos flask899 (71.1)492 (72.1)407 (69.8).362
            Missing data (n)871
    Housing: wall materiala
        Natural walls994 (78.2)561 (81.7)433 (74.1)
        Finished walls262 (20.6)124 (18.1)138 (23.6)
        Uncovered wall15 (1.2)2 (0.3)13 (2.2)<.001
            Missing data (n)220
    Housing: floor materiala
        Natural floor933 (73.6)523 (76.4)4110 (70.3)
        Other335 (26.4)162 (23.7)173 (29.7).015
            Missing data (n)541
    % poverty likelihoodb (at national poverty linea, mean (SD)0.3 (0.2)0.32 (0.20)0.29 (0.21).007
            Missing data (n)1349449
    • Abbreviation: SD, standard deviation.

    • ↵a Indicates variables included within the poverty probability index.

    • ↵b The % poverty likelihood was derived based on the participants who had non-missing values on variables with a in the table. We excluded 6 intervention and 6 control second-born twins among live dyads assessed.

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    TABLE 2.

    Rates of Child At-Risk Development, by Age and Study Group, in a Cluster-Randomized Study on the Effect of Maternal Participation in a Women's Health Education Intervention on Early Childhood Development, Tranz Nzoia County, Kenya

    Child Age (Months) (N=1,273)InterventionControlP Value
    1 (N=5)0/22/3 (66.7%).400
    2 (N=5)0/20/3--
    3 (N=8)0/51/3 (33.3%).375
    4 (N=6)1/3 (33.3%)1/3 (33.3%)1.000
    5 (N=9)0/60/3--
    6 (N=6)2/2 (100.0%)3/4 (75.0%)1.000
    7 (N=55)2/29 (6.9%)3/26 (11.5%).659
    8 (N=86)0/464/40 (10.0%).043
    9 (N=132)2/59 (3.4%)4/73 (5.5%).691
    10 (N=169)0/784/91 (4.4%).125
    11 (N=243)1/114 (0.9%)1/129 (0.8%)1.000
    12 (N=236)3/114 (2.6%)3/122 (2.5%)1.000
    13 (N=169)2/120 (1.7%)2/49 (4.1%).580
    14 (N=102)1/73 (1.4%)0/29 (0)1.000
    15 (N=42)3/36 (8.3%)0/61.000
    TOTAL17/689 (2.5%)28/584 (4.8%)0.025
    • View popup
    TABLE 3.

    Factors Associated With Child At-Risk Development in a Cluster-Randomized Study on the Effect of Maternal Participation in a Women's Health Education Intervention on Early Childhood Development, Tranz Nzoia County, Kenya

    FactorDegrees of FreedomWald Chi-square Test StatisticP Value
    Study randomization (intervention vs. control)14.72.030
    Categorized mother's age in years30.98.807
    Marital status10.11.739
    Employment status24.51.105
    Highest educational level of household head34.81.186
    Housing-wall material15.56.018
    Housing-floor material13.74.053
    Age of mixed feeding11.96.162
    Attitudes towards harsh punishment21.65.437
    Child's birth weight in kilograms13.54.060
    Child's age in months112.52<.001
    • View popup
    TABLE 4.

    Factors Associated With Child At-Risk Development in a Cluster-Randomized Study on the Effect of Maternal Participation in a Women's Health Education Intervention on Early Childhood Development, Tranz Nzoia County, Kenya

    Odds Ratio95% Confidence Interval
    Study randomization
    Interventiona0.50b0.27, 0.94 b
    Control (reference)------------
    Categorized mother's age (in years)
        <180.910.14, 5.84
        18–241.420.57, 3.53
        25–321.470.60, 3.62
        >32 (reference)-----------
    Marital status
        Single/divorced/separated/widowed0.860.36, 2.05
        Married (reference)----------
    Employment status
        Unemployed2.160.93, 5.00
        Temporary work3.300.97, 11.26
        Self-employed/permanently employed (reference)-------
    Highest educational level of household head
        Pre-primary/none1.550.39, 6.11
        Primary1.600.47, 5.46
        Secondary0.650.18, 2.41
        College or higher (reference)------------
    Housing- wall material
        Natural/uncovered walls0.27b0.09, 0.80b
        Finished walls (reference)------------
    Housing- floor material
        Natural floor3.020.97, 9.26
        Other (reference)------------
    Age of mixed feeding
        >3 months0.630.33, 1.20
        ≤ 3 months (reference)------------
    Attitudes towards harsh punishment (response to “To properly raise a child, one must use harsh punishment”)
        Strongly agree/ agree5.710.40, 81.53
        Disagree/strongly disagree5.420.36, 82.04
        Neither agree or disagree (reference)----------
    Child's birth weight (in kilograms)0.640.40, 1.02
    Child's age in months (in months)c0.82b0.73, 0.92b
    • ↵a Excluded 168 subjects due to missing values for primary outcome or covariate data, with 1,105 children remaining for analysis.

    • ↵b Statistically significant with α set at .05.

    • ↵c At the time of developmental screening questionnaire evaluation.

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Global Health: Science and Practice: 9 (4)
Global Health: Science and Practice
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December 31, 2021
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Participation in a Community-Based Women's Health Education Program and At-Risk Child Development in Rural Kenya: Developmental Screening Questionnaire Results Analysis
Megan S. McHenry, Lauren Y. Maldonado, Ziyi Yang, Gertrude Anusu, Evelyn Kaluhi, Astrid Christoffersen-Deb, Julia J. Songok, Laura J. Ruhl
Global Health: Science and Practice Dec 2021, 9 (4) 818-831; DOI: 10.9745/GHSP-D-20-00349

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Participation in a Community-Based Women's Health Education Program and At-Risk Child Development in Rural Kenya: Developmental Screening Questionnaire Results Analysis
Megan S. McHenry, Lauren Y. Maldonado, Ziyi Yang, Gertrude Anusu, Evelyn Kaluhi, Astrid Christoffersen-Deb, Julia J. Songok, Laura J. Ruhl
Global Health: Science and Practice Dec 2021, 9 (4) 818-831; DOI: 10.9745/GHSP-D-20-00349
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