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Article |

Reducing Maternal Intimate Partner Violence After the Birth of a Child:  A Randomized Controlled Trial of the Hawaii Healthy Start Home Visitation Program FREE

Megan H. Bair-Merritt, MD, MSCE; Jacky M. Jennings, PhD, MPH; Rusan Chen, PhD; Lori Burrell, MA; Elizabeth McFarlane, PhD; Loretta Fuddy, ACSW, MPH; Anne K. Duggan, ScD
[+] Author Affiliations

Author Affiliations: Division of General Pediatrics and Adolescent Medicine, School of Medicine (Drs Bair-Merritt, Jennings, McFarlane, and Duggan and Ms Burrell), and Department of Epidemiology, Bloomberg School of Public Health (Dr Jennings), Johns Hopkins University, Baltimore, Maryland; Center for New Designs in Learning and Scholarship, Georgetown University, Washington, DC (Dr Chen); and Hawaii State Department of Health, Honolulu (Ms Fuddy).


Arch Pediatr Adolesc Med. 2010;164(1):16-23. doi:10.1001/archpediatrics.2009.237.
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Objectives  To estimate whether home visitation beginning after childbirth was associated with changes in average rates of mothers' intimate partner violence (IPV) victimization and perpetration as well as rates of specific IPV types (physical assault, verbal abuse, sexual assault, and injury) during the 3 years of program implementation and during 3 years of long-term follow-up.

Design  Randomized controlled trial.

Setting  Oahu, Hawaii.

Participants  Six hundred forty-three families with an infant at high risk for child maltreatment born between November 1994 and December 1995.

Intervention  Home visitors provided direct services and linked families to community resources. Home visits were to initially occur weekly and to continue for at least 3 years.

Main Outcome Measures  Women's self-reports of past-year IPV victimization and perpetration using the Conflict Tactics Scale. Blinded research staff conducted maternal interviews following the child's birth and annually when children were aged 1 to 3 years and then 7 to 9 years.

Results  During program implementation, intervention mothers as compared with control mothers reported lower rates of IPV victimization (incidence rate ratio [IRR], 0.86; 95% confidence interval [CI], 0.73-1.01) and significantly lower rates of perpetration (IRR, 0.83; 95% CI, 0.72-0.96). Considering specific IPV types, intervention women reported significantly lower rates of physical assault victimization (IRR, 0.85; 95% CI, 0.71-1.00) and perpetration (IRR, 0.82; 95% CI, 0.70-0.96). During long-term follow-up, rates of overall IPV victimization and perpetration decreased, with nonsignificant between-group differences. Verbal abuse victimization rates (IRR, 1.14, 95% CI, 0.97-1.34) may have increased among intervention mothers.

Conclusion  Early-childhood home visitation may be a promising strategy for reducing IPV.

Trial Registration  clinical trials.gov Identifier: NCT00218751

Figures in this Article

Intimate partner violence (IPV) prevalence is disproportionately high in families with children younger than 5 years.1 Both IPV victimization and childhood IPV exposure are associated with adverse health consequences.29 Despite growing understanding of the epidemiology and health consequences of IPV, studies testing effective interventions are limited.10,11

Intimate partner violence interventions targeting women with young children are important given the elevated risk of IPV during this period and given the health implications for victims and their children. Early-childhood home visitation, which traditionally focuses on reducing child maltreatment, is one method of delivering intervention services to families. However, families targeted to receive home visiting are frequently also at high risk for IPV.12 The Centers for Disease Control and Prevention recently conducted a systematic review examining the home visitation–family violence relationship and concluded that there was insufficient evidence to determine if early-childhood home visitation reduced IPV.13

Reduction of maternal risk factors for child maltreatment, including IPV, was one of the goals of the Hawaii Healthy Start Program (HSP) early-childhood home visitation program. Duggan et al14,15 have published mixed findings about HSP's effectiveness during the child's first 3 years of life in decreasing maternal IPV. In these publications, they treated IPV as a binary variable, did not evaluate sexual violence, and did not delineate the perpetrator. These limitations ignore the complexity of IPV and, thus, impair our ability to estimate the association between home visitation and IPV.

Using data collected to evaluate the Hawaii HSP, we sought to estimate over two 3-year intervals (during program implementation and over long-term follow-up) whether home visitation beginning after the birth of a child was associated with changes in (1) average rates of mothers' IPV victimization and perpetration and (2) rates of specific IPV types (physical assault, verbal abuse, sexual assault, and injury).

SETTING AND PARTICIPANTS

Details of the Hawaii HSP study have been published elsewhere.1422 Families were eligible if they (1) gave birth between November 1994 and December 1995 on Oahu; (2) had an English-speaking mother; (3) were not involved with Child Protective Services; and (4) had an infant who was at high risk for maltreatment. The criteria for high risk have been described elsewhere.15,16

RANDOMIZATION

Families agreeing to participate provided written informed consent. Families then were randomly assigned to the (1) HSP home visiting intervention group; (2) control group; or (3) testing control group. Group assignments were randomly allocated to study ID numbers at a central office using a table of random numbers. Study ID numbers were sequentially given to each newly enrolled family. By design, more families were randomized to the intervention group than the control groups. For the current analyses, participants in the testing control group were excluded because this group was not the primary control group, had a small sample size (n = 41), and did not have the same assessment schedule as the other 2 groups. Differences in the distributions of baseline characteristics between the primary control group and the testing control group were minimal.

INTERVENTION

Intervention families received early-childhood home visitation. The content of home visits aimed to promote child health and decrease child maltreatment by improving family functioning and reducing malleable risk factors such as IPV. Paraprofessional home visitors were expected to accomplish these goals by providing direct services and by linking families to appropriate community services such as IPV shelters/advocacy groups and mental health treatment. Direct services were to include (1) teaching about child development; (2) role-modeling positive parenting and problem-solving strategies; and (3) offering emotional support. The intervention was administered by 3 community agencies on Oahu. Each agency operated 2 program sites.

The initial home visit was expected to occur within 1 week of the infant's birth. All intervention families were expected to participate initially in weekly visits. Visits were to taper as families achieved greater competency. Home visits were designed to be carried out for at least 3 years, but it was challenging to retain families. Families participated in a mean of 13.6 visits in the first year.16 Ninety percent of families participated in home visitation when the child was 3 months of age; 70% participated at 6 months of age; 49%, at 12 months of age; and 25%, at 36 months of age.16

OUTCOME ASSESSMENT

Interviews with the infant's primary caregiver, generally the biological mother, were conducted in the intervention and control groups. Trained research staff blinded to the participants' group status conducted the interviews. The baseline interview occurred following the child's birth, and follow-up interviews occurred in 2 periods, annually when the child was 1 to 3 years of age and then annually when the child was 7 to 9 years of age. Data collection ended in 2005.

INCLUSION CRITERIA

In a small percentage of cases at each follow-up point, the child's primary caregiver was not the mother or the mother could not be located for an interview; thus, the interview was conducted with an alternate caregiver. Interviews with alternate caregivers were excluded in the current analyses.

OUTCOME AND COVARIATES
Intimate Partner Violence

During each interview, mothers reported their IPV victimization and perpetration over the past year using the Conflict Tactics Scale (CTS). The psychometric properties of the CTS have been well documented.2325 At baseline, the interview included the 38-item CTS1. All subsequent interviews used the 78-item revised CTS (CTS2), which contains the following categories of questions: verbal aggression/abuse, physical assault, sexual coercion/abuse, and injury. Initial validation of the CTS2 estimated that the internal reliability coefficients for each category of questions were 0.79, 0.86, 0.87, and 0.95, respectively.25 The injury items include acts of physical assault that lead to bodily harm such as “I had a sprain, bruise, or small cut because of a fight with my partner.” Four sexual coercion questions were purposefully omitted during the interviews. Confirmatory factor analyses were run in MPlus (version 5.21; Muthén & Muthén, Los Angeles, California) to confirm whether the previously identified factor structure was replicated in the current sample.25

Fixed-response choices for each item on the CTSs are categorical, including never, once, twice, 3 to 5 times, 6 to 10 times, 11 to 20 times, and more than 20 times. For our analyses, categorical responses were converted to counts as follows24: 3 to 5 times was coded as 4; 6 to 10, as 8; 11 to 20, as 15; and more than 20 times, as 25. For each woman at each interview, we created the following 5 rates per person-year of new victimization acts: (1) total IPV (all physical assault, sexual abuse, and injury acts); (2) physical assault only; (3) sexual abuse only; (4) injury only; and (5) verbal abuse only. The same 5 rates per year were created for maternal IPV perpetration for each woman at each interview.

Maternal Emotional Health

The Mental Health Index 5-item short form measured anxiety and depressive symptoms, asking women how often in the past month they had experienced specific feelings.26 Response items are on a 6-point scale ranging from all of the time to none of the time. Responses were summed and standardized to a scale of 0 to 100. A cutoff of less than 67 defined poor mental health.27

Substance Use

Maternal drug use was measured as self-report of any current drug use. Problem alcohol use was defined as self-report of current alcohol use together with 2 or more positive responses to the 4 CAGE questions, a validated screen for problem alcohol use.28

DATA ANALYSES

For 94% of intervention women and 93% of control women who provided baseline data after randomization, our overall approach was an intention-to-treat analysis whereby women were analyzed using their initial group assignment, irrespective of their actual participation in the intervention. All regression analyses were conducted using Stata 10.1 (StataCorp, College Station, Texas).

Summary statistics were generated for the intervention and control groups to describe maternal baseline characteristics. Group differences in baseline characteristics were tested using Pearson χ2 tests for nominal variables and t tests for continuous variables. Rates of IPV for both groups at each point and unadjusted incidence rate ratios (IRRs) were calculated.

Analyses were conducted to determine the extent of missingness in covariates and outcomes over time. Individual follow-up interviews were missing for 2 reasons: (1) attrition, ie, mother's departure from the study; and (2) mother remained in the study through the final interview but missed earlier individual interviews. To reduce bias due to missingness and loss to follow-up, missing data were imputed with 20 imputations using multiple imputation by chained equations.29,30 As per the default for multiple imputation by chained equations in Stata, each missing variable was regressed on all other variables. We report results of regression models using imputed data.

A negative binomial regression model, which accounts for overdispersion (variance greater than mean), for cross-sectional panel data was selected because of the skewed distribution of IPV acts.31 Repeated measures of women at multiple times violates the independence assumption required for regression. To address this nonindependence, we treated each woman's multiple measures as clustered data. Analyses of IPV acts over time within a woman suggested that there was variation, and thus, a random effect was added to the model to allow a unique intercept for each participant.

Primary analyses compared total rates of IPV victimization and perpetration (in separate models) between intervention and control group women when children were (1) 1 to 3 years of age and separately when they were (2) 7 to 9 years of age. Additional analyses compared the rates of specific IPV types between intervention and control women during the same 2 periods. All models adjusted for nonequivalence, defined as a P value <.20, between the intervention and control groups' baseline sociodemographic characteristics including past-year alcohol use (dichotomous), maternal mental health (dichotomous), and past-year employment (dichotomous). Child age (continuous) was included to model time. Because of concern that study site might be a confounder, we also adjusted for site (categorical) in all analyses. Models examining total IPV victimization and perpetration controlled for baseline IPV (continuous).

We conducted 2 sensitivity analyses. For all reported analyses, women with no partner were coded as no IPV. However, the first sensitivity analysis was conducted to test whether omitting women who reported no intimate partner in the past year resulted in similar findings compared with our approach of coding these women as having no IPV in the past year. Second, we conducted a sensitivity analysis to test whether the exclusion of outliers, ie, women with greater than 100 IPV events at any interview, resulted in similar findings to regression models including these women.

HUMAN SUBJECTS

The randomized controlled trial and the current analyses were approved by our institutional review boards. The randomized controlled trial also was approved by the Hawaii Department of Health and the 6 recruitment hospitals.

After consenting, 270 women in the control group and 373 women in the intervention group completed the baseline interview (Figure 1). Of these 643 women, 86% in the control group and 91% in the intervention group completed the final interview when the child was 9 years of age. Compared with women remaining in the study, women lost to follow-up were more likely to be Asian (44% vs 26%) and less likely to be Native Hawaiian (20% vs 35%). Differences in the distributions of other baseline characteristics were minimal. Comparing the 39 lost-to-follow-up control women vs the 33 lost-to-follow-up intervention women, a lower proportion of the control group were employed at baseline (44% vs 70%).

Place holder to copy figure label and caption
Figure 1.

Participant flow through recruitment, intervention, and follow-up. *Multiple imputation used to decrease bias from loss to follow-up. CPS indicates Child Protective Services; HSP, Healthy Start Program.

Graphic Jump Location

In addition to missingness from attrition, some mothers who remained in the study and completed the final interview missed earlier individual interviews. Considering the 2 sources of interview missingness, interviews were obtained for 89% of intervention mothers when the child was aged 1 year, 86% at 2 years, 87% at 3 years, 73% at 7 years, 78% at 8 years, and 78% at 9 years of age. For control mothers, the proportions were 86%, 87%, 83%, 69%, 71%, and 69%. Eight percent of participants had missing baseline covariate data, and 2% of participants or less had response-item missingness for the outcome.

PARTICIPANT CHARACTERISTICS

At baseline, the mean (SD) past-year rates of IPV by group were as follows: (1) intervention group: victimization, 4.2 (12.0) acts and perpetration, 10.5 (22.0); and (2) control group: victimization, 5.7 (16.1) and perpetration, 10.4 (21.6). Baseline characteristics of the intervention and control groups were similar, except that a lower proportion of intervention women had problem alcohol use (40% vs 48%) and poor mental health (43% vs 50%), and a higher proportion were employed in the past year (52% vs 44%) (Table 1).

Table Graphic Jump LocationTable 1. Baseline Maternal Characteristics by Group

At each of the 6 follow-up interviews, the majority of women reported being in an intimate relationship, and the proportion of women in the intervention and control groups not in relationships was similar (all P values >.30).

MATERNAL IPV VICTIMIZATION AND PERPETRATION

Confirmatory factor analyses suggested a good fit (Comparative Fit Index = 0.95; root mean square error of approximation = 0.08) to the underlying data model generated previously for the CTS2. The unadjusted average rates (number of IPV acts per 1 person-year) of maternal IPV victimization and perpetration at each follow-up point by group are illustrated in Figure 2 and Figure 3. The distribution of all IPV rates at all points was skewed, with the majority of women reporting no IPV over the prior year (Table 2).

Place holder to copy figure label and caption
Figure 2.

Mean rates (number of acts per 1 person-year) of maternal intimate partner violence (IPV) victimization by treatment group at each point of follow-up. Follow-up occurred annually from child age 1 to 3 years and then annually when the child was aged 7 to 9 years. The x-axis shows the average child age at each follow-up point. Baseline IPV is not included because the instrument used (Conflict Tactics Scale 1) at this point differed from the instrument used (Conflict Tactics Scale 2) at all other points.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 3.

Mean rates (number of acts per 1 person-year) of maternal intimate partner violence (IPV) perpetration by treatment group at each point of follow-up. Follow-up occurred annually from child age 1 to 3 years and then annually when the child was aged 7 to 9 years. The x-axis shows the average child age at each follow-up point. Baseline IPV is not included because the instrument used (Conflict Tactics Scale 1) at this point differed from the instrument used (Conflict Tactics Scale 2) at all other points.

Graphic Jump Location
Table Graphic Jump LocationTable 2. Example of Distribution of IPV Acts: IPV Victimization Rates for the Child's First Year of Life by Intervention Group

During the 3 years of program implementation, intervention group women reported lower unadjusted rates of IPV victimization (21%) and lower rates of IPV perpetration (34%) as compared with the control group women (Table 3). Adjusting for potential confounders, these findings persisted (Table 3) and the intervention group women reported lower rates of maternal IPV victimization (IRR, 0.86; 95% confidence interval [CI], 0.73-1.01) and significantly lower rates of maternal IPV perpetration (IRR, 0.83; 95% CI, 0.72-0.96) compared with control women. Intervention group women reported consistently lower unadjusted rates of maternal victimization and perpetration across all specific IPV types compared with control women. In adjusted analyses, intervention group women showed significantly lower rates of physical assault victimization (IRR, 0.85; 95% CI, 0.71-1.00) and perpetration (IRR, 0.82; 95% CI, 0.70-0.96).

Table Graphic Jump LocationTable 3. Average Incidence Rates and Unadjusteda and Adjusteda IRRs of Maternal IPVb During Two 3-Year Periods

Over long-term follow-up, the unadjusted IRRs showed a 16% decrease in overall maternal IPV victimization and a 2% decrease in maternal perpetration among intervention women compared with control women (Table 3). After adjusting for potential confounders, there were small decreases in the overall IRRs of maternal IPV victimization (IRR, 0.95; 95% CI, 0.77-1.17) and perpetration (IRR, 0.98; 95% CI, 0.79-1.22). The unadjusted IRRs for the specific types of IPV were mixed. The adjusted IRRs were lower for the intervention vs control group for physical abuse, sexual abuse, and injury but were higher for verbal victimization (IRR, 1.14; 95% CI, 0.97-1.34) and perpetration (IRR, 1.08; 95% CI, 0.92-1.26).

Two sensitivity analyses were conducted. The first omitted women reporting no intimate partner in the past year and the findings were quantitatively and qualitatively similar to results in which these women were coded as having no IPV. The second sensitivity analysis omitted women with more than 100 IPV events at any interview and also yielded similar results to modeling including these women.

When compared with a control group, participation in the Hawaii HSP was associated with significantly reduced maternal IPV perpetration for the child's first 3 years of life. Maternal IPV victimization also decreased during this period. Considering specific types of IPV, maternal perpetration of and victimization from physical assault were significantly reduced among intervention women compared with control women. Sexual violence, verbal abuse, and injury were not significantly associated with group assignment, though low prevalence of sexual abuse and injury may have impacted our ability to detect an association for these IPV types. Over long-term follow-up, overall rates of IPV decreased in both groups, but differences between groups were no longer statistically significant. Verbal abuse may have increased in the intervention group.

Our results first should be contrasted with the Duggan et al conclusion that HSP did not reduce partner psychological abuse (odds ratio, 1.05; 95% CI, 0.81-1.36), physical abuse (odds ratio, 0.83; 95% CI, 0.63-1.09), or injury (odds ratio, 0.81; 95% CI, 0.59-1.10) in the 3 years of program implementation.15 In those analyses, the 3 specific IPV types were dichotomized as present/absent. In contrast, we considered IPV as a count variable, and analyses tested for a difference in rates between groups. Significant differences in IPV may not have been detected in Duggan et al because dichotomizing an inherently continuous/count variable leads to information loss that decreases power.32 Using rates also is preferable because the cut point of number of IPV acts where a relationship is considered to “have IPV” is arbitrary and generally not evidence based.

To our knowledge, this is the first randomized controlled trial to describe an intervention that decreases rates of female-perpetrated IPV. Published surveys cite that female-perpetrated IPV is a significant public health problem.33,34 Some argue that men's and women's violence should not be considered equivalent because of different contexts, etiologies, and consequences.35 Others emphasize that all violence is detrimental and that minor acts of female-perpetrated violence increase risk of severe male-perpetrated violence.36

Theoretical debates aside, reducing female-perpetrated IPV likely benefits public health in general and child health specifically. Children exposed to IPV are at increased risk for myriad adverse health consequences; compared with peers, IPV-exposed children incur greater health care costs, are underimmunized, and have worse social/emotional health.69 Exposure to maternal IPV perpetration may pose unique threats to children's health. For example, a recent study by McDonald et al9 found that maternal IPV perpetration predicted child externalizing problems after controlling for male IPV perpetration.

Two issues complicate interpretation of how home visiting might have influenced IPV: (1) program IPV content was minimal; and (2) few families participated in the expected number of home visits. Prior publications about HSP implementation document that home visitors frequently failed to recognize IPV and seldom linked abused women to community resources.15 The HSP model specified that families should initially receive weekly home visiting and that the intervention should last at least 3 years. Healthy Start Program home visitors struggled to maintain visit frequency and retain families.

Despite these program limitations, 2 important elements of the home visiting program might have contributed to the decrease in IPV: (1) the home visitor–mother relationship and (2) encouragement of self-efficacy. Mothers in the intervention group trusted their home visitor, and this relationship likely provided social support and decreased isolation.14 Mothers espoused the belief that their home visitor helped them to “set goals and make a plan for reaching them.”14 When the children were 2 years of age, intervention mothers reported significantly greater parenting efficacy and tended to report less parenting stress14; these outcomes parallel the point at which we observed the greatest drop in IPV for the intervention group.

Intimate partner violence interventions for abused and partner-aggressive women similarly focus on promoting interpersonal relationship skills and bolstering self-efficacy.37,38 For example, Sullivan and Bybee38 randomized women leaving an IPV shelter to a control group or to advocacy counseling, which included improving social support and self-efficacy. Women randomized to advocacy counseling demonstrated significant reductions in reabuse.

There was a general decline in overall rates of IPV over time for both groups. However, when the children were 7 to 9 years of age, the intervention group did not report significantly lower rates of IPV victimization or perpetration than the control group. Verbal abuse may have increased for the intervention group. The decreasing rates of IPV over time for both is consistent with literature documenting that IPV prevalence is highest for young women.1,39 Additional home visits during the child's school-aged years may promote further reductions in overall IPV rates, though rates of verbal abuse should be carefully monitored.

These results must be interpreted in light of important limitations. Women self-reported their own and their partner's IPV over the past 12 months; this duration of recall may be prone to error.40 Although the CTS2 has been widely validated, there is no “gold standard” from which to determine the accuracy of self-reported IPV. Intervention group women may have felt compelled to portray themselves positively and may have underreported IPV. However, interviews were conducted by blinded research assistants who were not involved in delivering the intervention, and intervention women commonly disclosed other equally sensitive information. Despite randomization, baseline differences existed between the groups. Although we accounted for these differences, unmeasured confounders may remain.

Our findings of an association between Hawaii HSP early-childhood home visitation and decreased rates of IPV during the 3 years of program implementation are encouraging but should be interpreted cautiously. A variety of early-childhood home visitation programs serve high-risk families; each of these models differs with regard to program content, home visitor training, and frequency and duration of visits. Future research should determine whether similar decreases occur in other early-childhood home visiting programs and should investigate which elements of the program may lead to reductions.

Correspondence: Megan H. Bair-Merritt, MD, MSCE, 200 N Wolfe St, Room 2021, Baltimore, MD 21287 (mbairme1@jhmi.edu).

Accepted for Publication: August 2, 2009.

Author Contributions: Dr Bair-Merritt had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Fuddy and Duggan. Acquisition of data: McFarlane, Fuddy, and Duggan. Analysis and interpretation of data: Bair-Merritt, Jennings, Chen, Burrell, and Duggan. Drafting of the manuscript: Bair-Merritt, Jennings, and McFarlane. Critical revision of the manuscript for important intellectual content: Bair-Merritt, Jennings, Chen, Burrell, McFarlane, Fuddy, and Duggan. Statistical analysis: Bair-Merritt, Jennings, Chen, and Burrell. Obtained funding: Duggan. Administrative, technical, and material support: Burrell, McFarlane, and Duggan. Study supervision: Duggan.

Financial Disclosure: None reported.

Funding/Support: The parent study, evaluation of the Hawaii Healthy Start Program, was supported by grants R40 MC 00029 and R40 MC 00123 from the Federal Maternal and Child Health Bureau; the Robert Wood Johnson Foundation; the Annie E. Casey Foundation; the David and Lucile Packard Foundation; the Hawaii State Department of Health; and grant P30MH38725 from the National Institutes of Health. Dr Bair-Merritt is funded in part by Career Development Award K23HD057180 sponsored by the National Institute of Child Health and Human Development.

Additional Information: Dr Chen received financial compensation for his role as a statistical consultant.

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Link to Article
McHorney  CAWare  J  Jr Construction and validation of an alternate form General Mental Health Scale for the Medical Outcomes Study Short-Form 36-item health survey. Med Care 1995;33 (1) 15- 28
PubMed Link to Article
Berwick  DMMurphy  JGoldman  PWare  J  JrBarsky  AWeinstein  M Performance of a five-item mental health screening test. Med Care 1991;29 (2) 169- 176
PubMed Link to Article
Mayfield  DMcLeod  GHall  P The CAGE questionnaire: validation of a new alcoholism screening instrument. Am J Psychiatry 1974;131 (10) 1121- 1123
PubMed
Engels  JMDiehr  P Imputation of missing longitudinal data: a comparison of methods. J Clin Epidemiol 2003;56 (10) 968- 976
PubMed Link to Article
Stuart  EAAzur  MFrangakis  CLeaf  P Multiple imputation with large datasets: a case study of the Children's Mental Health Initiative. Am J Epidemiol 2009;169 (9) 1133- 1139
PubMed Link to Article
Hilbe  J Negative Binomial Regression.  New York, NY Cambridge University Press2007;
Hulley  SCummings  SBrowner  SGrady  DNewman  T Strategies for Minimizing Sample Size and Maximizing Power. Designing Clinical Research: An Epidemiologic Approach.  Philadelphia, PA Lippincott Williams & Wilkins2007;78
Whitaker  DJHaileyesus  TSwahn  MSaltzman  LS Differences in frequency of violence and reported injury between relationships with reciprocal and nonreciprocal intimate partner violence. Am J Public Health 2007;97 (5) 941- 947
PubMed Link to Article
Carbone-López  KKruttschnitt  CMacMillan  R Patterns of intimate partner violence and their associations with physical health, psychological distress, and substance use. Public Health Rep 2006;121 (4) 382- 392
PubMed
Loseke  DKurz  D Men's violence toward women is the serious social problem. Loseke  DGelles  RCavanaugh  MCurrent Controversies on Family Violence. Thousand Oaks, CA Sage Publications2005;
Straus  M Women's violence toward men is a serious social problem. Loseke  DGelles  RCavanaugh  MCurrent Controversies on Family Violence. Thousand Oaks, CA Sage Publications2005;
Dowd  LLeisring  P A framework for treating partner aggressive women. Violence Vict 2008;23 (2) 249- 263
PubMed Link to Article
Sullivan  CMBybee  D Reducing violence using community-based advocacy for women with abusive partners. J Consult Clin Psychol 1999;67 (1) 43- 53
PubMed Link to Article
Vest  JRCatlin  TChen  JBrownson  R Multistate analysis of factors associated with intimate partner violence. Am J Prev Med 2002;22 (3) 156- 164
PubMed Link to Article
Cummings  PRivara  FThompson  RReid  R Ability of parents to recall the injuries of their young children. Inj Prev 2005;11 (1) 43- 47
PubMed Link to Article

Figures

Place holder to copy figure label and caption
Figure 1.

Participant flow through recruitment, intervention, and follow-up. *Multiple imputation used to decrease bias from loss to follow-up. CPS indicates Child Protective Services; HSP, Healthy Start Program.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 2.

Mean rates (number of acts per 1 person-year) of maternal intimate partner violence (IPV) victimization by treatment group at each point of follow-up. Follow-up occurred annually from child age 1 to 3 years and then annually when the child was aged 7 to 9 years. The x-axis shows the average child age at each follow-up point. Baseline IPV is not included because the instrument used (Conflict Tactics Scale 1) at this point differed from the instrument used (Conflict Tactics Scale 2) at all other points.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 3.

Mean rates (number of acts per 1 person-year) of maternal intimate partner violence (IPV) perpetration by treatment group at each point of follow-up. Follow-up occurred annually from child age 1 to 3 years and then annually when the child was aged 7 to 9 years. The x-axis shows the average child age at each follow-up point. Baseline IPV is not included because the instrument used (Conflict Tactics Scale 1) at this point differed from the instrument used (Conflict Tactics Scale 2) at all other points.

Graphic Jump Location

Tables

Table Graphic Jump LocationTable 1. Baseline Maternal Characteristics by Group
Table Graphic Jump LocationTable 2. Example of Distribution of IPV Acts: IPV Victimization Rates for the Child's First Year of Life by Intervention Group
Table Graphic Jump LocationTable 3. Average Incidence Rates and Unadjusteda and Adjusteda IRRs of Maternal IPVb During Two 3-Year Periods

References

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Campbell  JCLewandowski  LA Mental and physical health effects of intimate partner violence on women and children. Psychiatr Clin North Am 1997;20 (2) 353- 374
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Bonomi  AEAnderson  MLRivara  FPThompson  RS Health outcomes in women with physical and sexual intimate partner violence exposure. J Womens Health 2007;16 (7) 987- 997
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Duggan  AFuddy  LBurrell  L  et al.  Randomized trial of a statewide home visiting program to prevent child abuse: impact in reducing parental risk factors. Child Abuse Negl 2004;28 (6) 623- 643
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Duggan  AFuddy  LMcFarlane  E  et al.  Evaluating a statewide home visiting program to prevent child abuse in at-risk families of newborns: fathers' participation and outcomes. Child Maltreat 2004;9 (1) 3- 17
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Duggan  AWindham  AMcFarlane  E  et al.  Hawaii's Healthy Start Program of home visiting for at-risk families: evaluation of family identification, family engagement, and service delivery. Pediatrics 2000;105 (1, pt 3) 250- 259
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El-Kamary  SSHigman  SFuddy  LMcFarlane  ESia  CDuggan  A Hawaii's Healthy Start Home Visiting Program: determinants and impact of rapid repeat birth. Pediatrics 2004;114 (3) e317- e326
PubMed Link to Article
Nelson  CSHigman  SSia  CMcFarlane  EFuddy  LDuggan  A Medical homes for at-risk children: parental reports of clinician-parent relationships, anticipatory guidance, and behavior changes. Pediatrics 2005;115 (1) 48- 56
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PubMed Link to Article
Ta  VMJuon  HGielen  ASteinwachs  DMcFarlane  EDuggan  A A longitudinal analysis of depressive symptoms among Asian and Pacific Islander mothers at-risk for child maltreatment. Community Ment Health J 2009;45 (1) 42- 55
PubMed Link to Article
Straus  M Measuring intrafamily conflict and violence: the conflict tactics (CT) scales. J Marriage Fam 1979;41 (1) 75- 88
Link to Article
Straus  MGelles  R Physical Violence in American Families: Risk Factors and Adaptations to Violence in 8145 Families.  New Brunswick, NJ Transaction Publishers1999;
Straus  MHamby  SBoney-McCoy  SSugarman  D The revised conflict tactics scale (CTS2): development and preliminary psychometric data. J Fam Issues 1996;17 (3) 283- 316
Link to Article
McHorney  CAWare  J  Jr Construction and validation of an alternate form General Mental Health Scale for the Medical Outcomes Study Short-Form 36-item health survey. Med Care 1995;33 (1) 15- 28
PubMed Link to Article
Berwick  DMMurphy  JGoldman  PWare  J  JrBarsky  AWeinstein  M Performance of a five-item mental health screening test. Med Care 1991;29 (2) 169- 176
PubMed Link to Article
Mayfield  DMcLeod  GHall  P The CAGE questionnaire: validation of a new alcoholism screening instrument. Am J Psychiatry 1974;131 (10) 1121- 1123
PubMed
Engels  JMDiehr  P Imputation of missing longitudinal data: a comparison of methods. J Clin Epidemiol 2003;56 (10) 968- 976
PubMed Link to Article
Stuart  EAAzur  MFrangakis  CLeaf  P Multiple imputation with large datasets: a case study of the Children's Mental Health Initiative. Am J Epidemiol 2009;169 (9) 1133- 1139
PubMed Link to Article
Hilbe  J Negative Binomial Regression.  New York, NY Cambridge University Press2007;
Hulley  SCummings  SBrowner  SGrady  DNewman  T Strategies for Minimizing Sample Size and Maximizing Power. Designing Clinical Research: An Epidemiologic Approach.  Philadelphia, PA Lippincott Williams & Wilkins2007;78
Whitaker  DJHaileyesus  TSwahn  MSaltzman  LS Differences in frequency of violence and reported injury between relationships with reciprocal and nonreciprocal intimate partner violence. Am J Public Health 2007;97 (5) 941- 947
PubMed Link to Article
Carbone-López  KKruttschnitt  CMacMillan  R Patterns of intimate partner violence and their associations with physical health, psychological distress, and substance use. Public Health Rep 2006;121 (4) 382- 392
PubMed
Loseke  DKurz  D Men's violence toward women is the serious social problem. Loseke  DGelles  RCavanaugh  MCurrent Controversies on Family Violence. Thousand Oaks, CA Sage Publications2005;
Straus  M Women's violence toward men is a serious social problem. Loseke  DGelles  RCavanaugh  MCurrent Controversies on Family Violence. Thousand Oaks, CA Sage Publications2005;
Dowd  LLeisring  P A framework for treating partner aggressive women. Violence Vict 2008;23 (2) 249- 263
PubMed Link to Article
Sullivan  CMBybee  D Reducing violence using community-based advocacy for women with abusive partners. J Consult Clin Psychol 1999;67 (1) 43- 53
PubMed Link to Article
Vest  JRCatlin  TChen  JBrownson  R Multistate analysis of factors associated with intimate partner violence. Am J Prev Med 2002;22 (3) 156- 164
PubMed Link to Article
Cummings  PRivara  FThompson  RReid  R Ability of parents to recall the injuries of their young children. Inj Prev 2005;11 (1) 43- 47
PubMed Link to Article

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