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Research ArticleOriginal Research

Antibiotic Prescription in Febrile Children: A Cohort Study during Out-of-Hours Primary Care

Gijs Elshout, Marijke Kool, Johannes C. Van der Wouden, Henriëtte A. Moll, Bart W. Koes and Marjolein Y. Berger
The Journal of the American Board of Family Medicine November 2012, 25 (6) 810-818; DOI: https://doi.org/10.3122/jabfm.2012.06.110310
Gijs Elshout
From the Department of General Practice, University Medical Center Groningen, Groningen, The Netherlands; Erasmus MC Rotterdam; and Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.
MD
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Marijke Kool
From the Department of General Practice, University Medical Center Groningen, Groningen, The Netherlands; Erasmus MC Rotterdam; and Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.
MD
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Johannes C. Van der Wouden
From the Department of General Practice, University Medical Center Groningen, Groningen, The Netherlands; Erasmus MC Rotterdam; and Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.
PhD
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Henriëtte A. Moll
From the Department of General Practice, University Medical Center Groningen, Groningen, The Netherlands; Erasmus MC Rotterdam; and Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.
MD, PhD
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Bart W. Koes
From the Department of General Practice, University Medical Center Groningen, Groningen, The Netherlands; Erasmus MC Rotterdam; and Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.
PhD
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Marjolein Y. Berger
From the Department of General Practice, University Medical Center Groningen, Groningen, The Netherlands; Erasmus MC Rotterdam; and Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.
MD, PhD
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Article Figures & Data

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    Figure 1.

    Flowchart of eligible children. GP, general practice.

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    Table 1. Characteristics of the Study Population (n = 443)
    CharacteristicsNo. of Patients/Total No. of PatientsPercentage
    Age: 3–6 months35/4437.9
        6–12 months87/44319.6
        >12 months321/44372.5
    Male sex247/44355.8
    Rectal temperature ≥38.0°C135/41932.2
    Ill appearance42/4369.6
    Duration of illness in days1.00 (median)0 to 43 (range)
    • View popup
    Table 2. Multivariate Analysis of Variables Related to Antibiotic Prescription
    VariablesPercentage Antibiotic PrescriptionBivariate AnalysisMultivariate Analysis
    If Characteristic Is PresentIf Characteristic Is AbsentOR95% CIP ValueSelectionOR95% CIP Value
    Patient characteristics
        Age: 3–6 monthsNANA0.150.03–0.63.01EA0.170.03–0.74.03
            6–12 months0.710.41–1.23.221.030.55–1.94.93
            >12 months (reference group)
    Concerned parents at home visit36.1 (26/72)25.1 (89/354)1.700.99–2.91.05EA2.021.06–3.58.03
    Number of children in householdNANA1.251.00–1.56.05SS1.160.90–1.48.25
    Patient history (signs present at moment of contacting out-of-hours service)
        Duration of illness at presentation (days)NANA1.081.02–1.14.01EA1.050.99–1.12.11
        Fever in previous week35.5 (22/62)24.4 (73/299)1.580.82–3.04.17EA1.150.52–2.57.73
        Fever in past 6 months29.6 (85/287)20.3 (31/153)1.671.04–2.66.03SS1.330.78–2.26.30
        Vaccination in previous week10.7 (3/28)27.6 (114/413)0.320.10–1.10.07SS0.340.08–1.38.13
        Decreased urine production35.7 (40/112)22.6 (66/292)1.841.16–2.91<.01SS2.001.17–3.41.01
    Physical examination
        Tachypnea19.1 (13/68)27.4 (75/274)0.710.36–1.40.33EA0.840.41–1.75.65
        Height of rectal temperatureNANA0.610.46–0.80<.01EA0.520.37–0.71<.01
        Ill appearance47.6 (20/42)24.4 (96/394)2.791.46–5.35<.01EA3.261.30–8.20.01
        YOS scoreNANA1.080.99–1.18.07EA1.020.91–1.15.69
        Earache resulting in altered behavioral or sleeping pattern43.3 (13/30)25.1 (95/378)2.271.08–4.79.03SS2.591.06–6.30.04
        Signs of throat infection36.4 (40/110)17.3 (38/220)2.501.50–4.18<.01SS2.371.35–4.15<.01
        Runny nose (patient history)32.6 (46/141)23.2 (69/297)1.591.02–2.49.04SS1.570.94–2.60.08
    • Bold: multivariate P < .05. The physical examination forms included categorical variables with possible answers: “no, little, very, very much.” These variables were dichotomized using a cutoff point between “little” and “very.” Decreased urine production was considered if micturition was much decreased or if there was no micturition at all.

    • NA indicates not applicable; EA, expected association; SS, bivariate statistical significance; YOS, Yale Observation Scale.

    • View popup
    Table 3. Bivariate Analysis of Variables Not Included in the Multivariate Analysis of Antibiotic Prescription
    VariablesOR95% CI
    Triage
        Concerned parents during triage1.170.70–1.93
    Physical examination
        Coughing1.340.87–2.08
        Runny nose2.071.32–3.23
        Drooling1.330.79–2.23
        Nasal flaring during breathing1.110.12–10.64
        Capillary refill >2 seconds1.450.63–3.33
        Abnormalities of the skin0.740.45–1.22
        Lymph nodes palpable in neck0.950.61–1.48
        Not able to get chin on chest1.550.42–5.77
    Patient history (signs present at moment of contacting out-of-hours service)
        Temperature measured at home before contacting the out-of-hours service0.630.32–1.22
        Child previously seen by own family physician1.260.68–2.33
        Out-of-hours service repeatedly contacted0.840.38–1.83
        Diarrhea0.930.56–1.54
        Vomiting1.250.80–1.96
        Drowsy/difficult to wake1.410.92–2.16
        Pale/gray/spotted skin1.410.92–2.16
        Skin rash0.820.48–1.42
        Fast breathing1.440.93–2.23
        Moaning0.890.58–1.36
        Febrile seizure0.590.19–1.77
        Problems during previous febrile episode1.190.71–1.99
        Preterm labor0.810.45–1.46
        Under treatment of a pediatrician0.670.36–1.26
        Under treatment of an ear, nose, and throat physician1.330.56–3.16
        Received all recommended vaccinations1.490.41–5.37
        Language barrier1.440.67–3.07
        Played as usual0.800.51–1.23
        Drinking less than half than normal1.090.70–1.70
        Cough1.170.74–1.84
        Restless/confused0.990.62–1.58
        Irritable/irritated1.140.73–1.76
        Drooling0.950.55–1.65
        Different illness than usual1.210.78–1.88
        Eye contact1.100.60–2.03
        Inconsolable crying1.230.80–1.88
        Crying by picking up1.140.72–1.81
    Demographic data
        Sex (if male)1.270.83–1.95
        Country of birth of mother, not Dutch1.290.84–1.97
        Country of birth of father, not Dutch0.810.53–1.24
        Education of mother: high0.950.56–1.59
        Education of father: high1.100.69–1.76
        Ethnicity of child according to parents, not Dutch1.130.72–1.78
        Income1.080.92–1.26
    • Bold: P < .10. The history and physical examination forms included categorical variables with possible answers: “no, little, very, very much.” These variables were dichotomized using a cutoff point between “little” and “very.” Categorical variables with possible answers: “no, little, almost normal, normal” were dichotomized using a cutoff point between “no” and “little.” Diarrhea was characterized as reported diarrhea more than twice a day. Decreased urine production was considered if micturition was much decreased or if there was no micturition at all. Income was categorized before the analysis in net income per month: “<450,” “451 to 635,” “636 to 860,” “861 to 1135,” “1136 to 1600,” “1601 to 2270,” “>2270 Euro.”

    • CI, confidence interval; OR, odds ratio.

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The Journal of the American Board of Family     Medicine: 25 (6)
The Journal of the American Board of Family Medicine
Vol. 25, Issue 6
November-December 2012
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Antibiotic Prescription in Febrile Children: A Cohort Study during Out-of-Hours Primary Care
Gijs Elshout, Marijke Kool, Johannes C. Van der Wouden, Henriëtte A. Moll, Bart W. Koes, Marjolein Y. Berger
The Journal of the American Board of Family Medicine Nov 2012, 25 (6) 810-818; DOI: 10.3122/jabfm.2012.06.110310

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Antibiotic Prescription in Febrile Children: A Cohort Study during Out-of-Hours Primary Care
Gijs Elshout, Marijke Kool, Johannes C. Van der Wouden, Henriëtte A. Moll, Bart W. Koes, Marjolein Y. Berger
The Journal of the American Board of Family Medicine Nov 2012, 25 (6) 810-818; DOI: 10.3122/jabfm.2012.06.110310
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