2011 The Palm Beach County Family Study (Full Report)

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Table A- 1. FOCiS Codes for MCHP Services Defined as TreatmentActivity Code Code Description Program a10 Nutrition WHIN11 Breastfeeding Peer Counseling WHIN12 Translation Services WHIN13 Smoking Cessation WHIN14 General Health Education WHIN15 Case Management WHIN16 Depression Screening WHIN16 Prenatal Depression Screening HS17 Depression Counseling WHIN18 Adolescent Pregnancy Prevention WHIN19 Pregnancy/Childbirth 4 WHIN20 Parenting Skill Building/Education WHIN21 Male Support Services WHIN40 Nutrition WHIN41 Breastfeeding Peer Counseling WHIN42 Translation Services WHIN43 Smoking Cessation WHIN44 General Health Education WHIN45 Case Management WHIN46 Depression Screening WHIN46 Interconceptional Depression Screening HS47 Depression Counseling WHIN48 Adolescent Pregnancy Prevention WHIN49 Pregnancy/Childbirth 4 WHIN50 Parenting Skill Building/Education WHIN51 Male Support Services WHIN3102 Participant Need Assessment HS3215 Initial Assessment HS3215 Initial Assessment WHIN3320 Care Coordination-Face To Face WHIN3320 Care Coordination: Face to Face HS3321 Care Coordination-Not Face To Face WHIN3321 Care Coordination: Not Face to Face HS3322 Initial Family Support Planning HS3322 Initial Family Support Planning WHIN3323 Update Family Support Planning HS3323 Update Family Support Planning WHIN4501 Nutrition Assessment Counseling HS6515 Oral Translation Services HS6516 Written or Assisted Translation HS8002 Psychosocial Counseling HS8004 Parenting Support and Education HS8006 Childbirth Education HS8008 Breast Feeding Education and Support HS8013 Interconceptional Education and Counseling HS8026 Smoking Cessation Counseling HSa HS=Healthy Start program; WHIN=Women’s Health InitiativeChapin Hall at the University of Chicago 157
The analysis of administrative data depends on accurately and reliably linking individual-level identifiersin data records across multiple service system databases. Linking is done through a process ofprobabilistic record matching, which calculates the probability that two records belong to the same personby using multiple pieces of identifying information. The most uniform common identifiers include name,Social Security number, date of birth, gender, race/ethnicity, and zip code, but these vary acrossadministrative data systems. Because of data entry errors, administrative data systems may have errors inclient-identifying information, which can result in more than one system-unique ID for the same person.Probabilistic matching technology corrects for these “duplication” errors by linking records in differentsystems based on the probability of similar identifiers representing data records for the same person.Household SurveysAnother component of the study involves more intensive data collection on a sample of 531 families withchildren born in the TGAs during 2004 and 2005. The primary source of information on these families isa structured survey conducted twice a year, once in person and once by telephone; this information issupplemented by data obtained from administrative records. The sample for this part of the study wasrecruited through two maternal health programs in Palm Beach County, the Healthy Mothers/HealthyBabies Coalition and Healthy Start/Healthy Families, between July 2004 and November 2005. 76 Thebaseline study report (Spielberger, Schuerman, Lyons & Haywood, 2006) provides other informationabout the recruitment process and recruitment issues for the study.The sample was stratified along two dimensions. First, we assumed that families with more risk factorswere more likely to have contact with services. Thus, we attempted to develop the sample so that abouthalf would be families identified as “high risk” (children at high risk of poor outcomes or families at highrisk of dysfunction) on a hospital screen or home assessment. Second, because the Glades TGA issparsely populated and historically more transitory than other areas of the county, 77 we wanted to ensurethat the sample was large enough to make reasonable estimates of its characteristics. Hence, the samplewas structured according to the proportions shown in Table A- 2.76 We followed this approach as an alternative to obtaining permission to sample from birth records for several reasons. First, wedid not know whether we would be able to attain Institutional Review Board (IRB) approval under the Health InsurancePortability and Accountability Act (HIPAA) to use protected health information for sample identification and recruitment. Wealso were following the precedent of an earlier study about access to prenatal care in Palm Beach County (Tandon, 2004), whichrecruited and interviewed newly delivered mothers in maternity wards. Finally, we recognized that because of their experienceworking with mothers in the TGAs, the hospital liaisons and nurses might be more trusted by potential respondents than otherrecruiters.77 In contrast to the other three TGAs, the Glades TGA in the western part of the county is a large, but sparsely populatedagricultural area that includes several migrant families who harvest sugarcane, citrus fruit, and other crops. According to datafrom the 2000 Census, percentages of families with children under the age of 18 living in poverty is higher in the Glades (46%)than in the other TGAs (25%) (CSC, May 2006). These percentages compare with an overall percentage of 13 percent for theproportion of all families with children under the age of 18 who live in poverty in the county as a whole.Chapin Hall at the University of Chicago 158
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FifthMarciaGouvêa2011
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AcknowledgmentsThis fifth report of
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Chapin Hall at the University of Ch
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List of TablesTable 1. Components o
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Table 58. Logistic Regression of Mo
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Table C- 24. Mothers’ Baseline an
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• In addition, we observed a pote
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kind of out-of-home educational exp
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IntroductionOver the last three dec
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eadiness and school success and in
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The study’s comprehensive, longit
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Table 2. Characteristics of Mothers
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The Year 5 Study SampleTable 4 show
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Household Structure, Employment, an
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Although mothers continued to repor
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Table 6. Family Income and Economic
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Specifically, mothers living outsid
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at the birth of the focal child tha
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Table 10. Reasons for Transportatio
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Health, Healthcare, and ChildDevelo
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two years of the study. In year 1 1
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Subsequent Pregnancies and Prenatal
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Children’s HealthcareMost (80%) o
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private plans or HMOs increased sig
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outside the TGAs to report that all
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Children’s Behavior and Developme
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cultural norms regarding what sorts
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Table 21. Emerging Pre-academic Ski
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the year 5 interview, over three-qu
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various activities, mothers reporte
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Negative Parenting PracticesThere i
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Table 28. Fathers’ Negative Paren
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Table 30. Parent Involvement Activi
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Table 32. Mothers’ Positive Paren
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Table 34. Mothers’ Parent Involve
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The most frequent parent involvemen
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Figure 3. Primary Childcare Arrange
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for 6 months, but when the subsidy
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ecause it is of particular interest
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types of care between mothers whose
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Table 40. Characteristics of Mother
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Table 41). Of the 204 children, 91
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commented on their children’s nee
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nonparental childcare arrangement f
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Informal and Community SupportAn un
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Table 46. Frequency of Husband/Part
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We also asked the mothers about the
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Table 49. Type of Family/Friends Su
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Access to Support by TGAFigure 5 sh
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Use of Formal ServicesA central que
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Correlates of At-Risk StatusA large
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services after 6 months. Among the
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Enhanced ServicesEnhanced services
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Termination of MCHP ServicesAs prev
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services were fairly stable, althou
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languages. The fact that more mothe
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In interpreting these results, it s
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Overall, mothers reported seeking h
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We found that in years 2 and 3, aft
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We also found that mothers tended t
Page 126 and 127: variables that could potentially be
Page 128 and 129: significant levels of stress. Paren
Page 130 and 131: positive parenting items and 5 nega
Page 132 and 133: friend/neighbor/other), which were
Page 134 and 135: Table 60. Logistic Regression of Ch
Page 140 and 141: County in either fall 2009 or fall
Page 142 and 143: Figure 6. Percent of Focal Children
Page 144 and 145: Next, we conducted logistic regress
Page 146 and 147: Table 68. Selected Maternal and Chi
Page 148 and 149: R 2 .180*p < .05, **p < .01, or ***
Page 150 and 151: SummarySimilar to previous analyses
Page 152 and 153: less than a high school education,
Page 154 and 155: Parenting PracticesWhen surveyed in
Page 156 and 157: We also looked at the stability of
Page 158 and 159: Service Use, Maternal Functioning,
Page 160 and 161: Conclusions and ImplicationsMore th
Page 162 and 163: Meanwhile, our findings indicate th
Page 164 and 165: literacy skills, families who do no
Page 166 and 167: BibliographyAbidin, R. R. (1995). P
Page 168 and 169: Dinan, K. A. (2005a). Federal polic
Page 170 and 171: Leventhal, T., Brooks-Gunn, J., McC
Page 172 and 173: Weisner, T. S. (1984). A cross-cult
Page 174 and 175: What are pathways to service use? W
Page 178 and 179: Table A- 2. Interview Study Samplin
Page 180 and 181: Table A- 3. Household Survey Topics
Page 182 and 183: Table A- 5. Reasons for Sample Attr
Page 184 and 185: we sought to identify the ecologica
Page 186 and 187: Table B- 2. Characteritics of TGA M
Page 188 and 189: Figure B- 1. Characteristics of Mot
Page 192 and 193: Figure B- 5. Percentage of PBC Moth
Page 194 and 195: Table B- 5. Logistic Regression Pre
Page 198 and 199: Table B- 7. Characteristics of TGA
Page 200 and 201: Table B- 9. Logistic Regression Pre
Page 202 and 203: Type of Enhanced Service2009N% of M
Page 204 and 205: Table B- 12. Logistic Regression Pr
Page 206 and 207: Numberof BirthswithReferrals2009 TG
Page 208 and 209: Table B- 15. OLS Logistic Regressio
Page 210 and 211: Table C- 1. Selected Characteristic
Page 212 and 213: Table C- 4. Social and Emotional Be
Page 214 and 215: Table C- 7. Communication Skills of
Page 216 and 217: Table C- 11. Emerging Literacy and
Page 218 and 219: Table C- 14. Mothers’ Negative Pa
Page 220 and 221: Number of Different Arrangements ac
Page 222 and 223: Figure C- 1. Mean Days of MCHP Serv
Page 224 and 225: Table C- 19. Characteristics of Mot
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Table C- 22. Number of Service Area
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Table C- 23. Number of Services Use
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Table C- 25. Linear Regression Anal
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Table C- 27. Baseline Characteristi
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2011 The Palm Beach County Family Study (Full Report)

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