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    Pediatrics
    January 2014, VOLUME 133 / ISSUE 1
    Article

    Screening for Behavioral Health Issues in Children Enrolled in Massachusetts Medicaid

    Karen A. Hacker, Robert Penfold, Lisa Arsenault, Fang Zhang, Michael Murphy, Larry Wissow
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    • FIGURE 1
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      FIGURE 1

      Derivation of the sample.

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      FIGURE 2

      BH by age. *1, negative modifier; 3, screen no modifier; 4, well-child visit no screen; 5, no well-child visit and no screen.

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    • TABLE 1

      Group Characteristics, n = 390 383 in FY 2009: Percent

      CharacteristicaTotal Groups 1–6, n = 390 383Group 1 Negative Modifier,bn = 115 443Group 2 Positive Modifier, n = 15 673Group 3 Screen Without Modifier, n = 31 134Group 4 Well-Child Visit Without Screen, n = 92 473Group 5 No Well-Child Visit or Screen, n = 100 767Group 6 No Encounters or Claims, n = 34 893
      Gender
       Male51.449.960.850.951.251.951.7
       Female48.650.139.249.148.848.148.3
      Age, y
       <531.741.235.337.337.315.720.8
       5–717.617.018.017.216.719.217.1
       8–1017.015.117.114.615.120.619.6
       11–1316.414.015.813.714.820.320.5
       14–1617.412.813.712.516.224.222.1
      Mean (SD)7.79 (4.9)6.70 (5.0)7.29 (4.8)6.64 (4.9)7.30 (5.02)9.51 (4,4)9.08 (4.6)
      Race/ethnicity
       White28.028.631.425.227.928.725.7
       Asian3.53.41.43.84.43.13.2
       African American9.27.98.211.210.29.39.1
       Hispanic16.917.520.219.515.616.715.2
       Native American0.20.20.10.10.20.20.1
       Multiracial2.52.73.02.82.82.41.4
       Unknown39.739.835.837.439.039.745.2
      Urban (n = 386 101)97.397.297.599.097.496.897.0
      Foster care: yes1.31.33.21.01.51.40.2
      ≥300 d of eligibility in FY 200873.178.283.779.179.183.4Not applicable
      Well-child visit in FY 200970.798.196.897.910000
      • ↵a P < .0001 for all characteristics using χ2 statistics.

      • ↵b Modifier used to code whether a BH issue was or was not identified.

    • TABLE 2

      BH History (n=285 244): Percent

      CharacteristicaAll, n = 285 244Group 1 Negative Modifier,bn = 90 289Group 2 Positive Modifier, n = 13 124Group 3 Screen Without Modifier, n = 24 629Group 4 Well-Child Visit Without Screen, n = 73 182Group 5 No Well-Child Visit or Screen, n = 84 020
      Any history (includes all of the following)29.326.761.226.229.328.2
       Psychopharmacology7.45.216.54.87.49.1
       Previous psychiatric visitc14.513.135.610.814.613.8
       Previous health or behavioral assessmentd2.92.88.62.93.41.7
       Previous nonphysician mental health visite4.84.210.85.35.23.9
       Any mental health diagnosis (ICD-9-CM 290–319)26.524.357.723.626.724.6
      • ↵a P < .0001 for all characteristics using χ2 statistics.

      • ↵b Modifier used to code whether a BH issue was or was not identified.

      • ↵c Claims with CPT codes 90801–90899.

      • ↵d CPT codes 96100–96103, 96105, 96111, 96115–96120, 96125, 96150–96155.

      • ↵e Healthcare Common Procedural H codes plus S9484 and S9485 (crisis intervention) and T1027, T1017, and T2022 codes (family counseling and case management).

    • TABLE 3

      Comparisons of Children With Positive Modifiers,a With and Without BH History (n = 13 124): Percent

      CharacteristicbPositive Modifier No History, n = 5097 (38.8)Positive Modifier With History, n = 8013 (61.1)
      Gender
       Male55.564.6
       Female44.535.4
      Age, y
       <538.624.0
       5–7 y21.118.5
       8–1013.921.3
       11–1314.419.0
       14–1612.117.2
      Mean (SD)6.9 (4.6)8.5 (4.5)
      Race/ethnicity
       White25.536.2
       Asian2.01.0
       Black8.57.8
       Hispanic23.319.0
       Native American0.10.2
       Multiracial2.93.4
       Unknown37.632.4
      Urban (n = 13 018)98.296.8
      Foster care: yes1.24.3
      • ↵a Modifier used to code whether a BH issue was or was not identified.

      • ↵b P < .0001 for all characteristics using χ2 statistics.

    • TABLE 4

      Predictors of Positive Modifiera on BH Screen in Children With Modifiers (n = 103 413)

      CharacteristicOdds Ratio95% Confidence Interval
      Gender
       Female1.00
       Male1.361.31–1.42
      Age, y
       <51.00
       5–71.091.03–1.15
       8–101.000.95–1.06
       11–130.970.92–1.03
       14–160.890.84–0.95
      Race/ethnicityb
       White1.00
       Asian0.880.78–0.99
       Black1.030.97–1.10
       Hispanic1.151.10–1.21
       Native American1.080.96–1.22
       Multiracial1.030.93–1.14
      Rural1.00
      Urban1.191.03–1.15
      Foster care
       No1.00
       Yes1.531.36–1.73
      Previous BH history
       No1.00
       Yes4.214.05–4.38
      • ↵a Modifier used to code whether a BH issue was or was not identified.

      • ↵b Race/ethnicity missing/unknown data were imputed using SAS PROCMI program.

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    Screening for Behavioral Health Issues in Children Enrolled in Massachusetts Medicaid
    Karen A. Hacker, Robert Penfold, Lisa Arsenault, Fang Zhang, Michael Murphy, Larry Wissow
    Pediatrics Jan 2014, 133 (1) 46-54; DOI: 10.1542/peds.2013-1180

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    Screening for Behavioral Health Issues in Children Enrolled in Massachusetts Medicaid
    Karen A. Hacker, Robert Penfold, Lisa Arsenault, Fang Zhang, Michael Murphy, Larry Wissow
    Pediatrics Jan 2014, 133 (1) 46-54; DOI: 10.1542/peds.2013-1180
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