Abstract
Nurse-Family Partnership (NFP) targets intensive prenatal and postnatal home visitation by registered nurses to low-income first-time mothers. Through 2013, 177,517 pregnant women enrolled in NFP programs. This article projects how NFP will affect their lives and the lives of their babies. NFP has been evaluated in six randomized trials and several more limited analyses of operational programs. We systematically reviewed evaluation findings on 21 outcomes and calculated effects on 3 more. We added outcome data from the NFP national data system and personal communications that filled outcome data gaps on some trials. We assumed effectiveness in replication declined by 21.8%, proportionally with the decline in mean visits per family from trials to operational programs. By 2031, NFP program enrollments in 1996-2013 will prevent an estimated 500 infant deaths, 10,000 preterm births, 13,000 dangerous closely spaced second births, 4,700 abortions, 42,000 child maltreatment incidents, 36,000 intimate partner violence incidents, 90,000 violent crimes by youth, 594,000 property and public order crimes (e.g., vandalism, loitering) by youth, 36,000 youth arrests, and 41,000 person-years of youth substance abuse. They will reduce smoking during pregnancy, pregnancy complications, childhood injuries, and use of subsidized child care; improve language development, increase breast-feeding, and raise compliance with immunization schedules. They will eliminate the need for 4.8 million person-months of child Medicaid spending and reduce estimated spending on Medicaid, TANF, and food stamps by $3.0 billion (present values in 2010 dollars). By comparison, NFP cost roughly $1.6 billion. Thus, NFP appears to be a sound investment. It saves money while enriching the lives of participating low-income mothers and their offspring and benefiting society more broadly by reducing crime and safety net demand.
Keywords: birth outcomes, birth spacing, crime, Medicaid, systematic review
Nurse-Family Partnership (NFP) is a program of intensive prenatal and postnatal home visitation by registered nurses. It targets low-income mothers and their first children. Visits start prenatally and ideally continue through age 2; 25-30 home visits over 17 months is typical.
NFP’s goals are to help parents improve: (1) prenatal health and pregnancy outcomes, (2) child health and development through more sensitive and competent care, and (3) parental life-course by developing and fulfilling a vision for their future, planning future pregnancies, completing educations, and finding work (Olds et al., 2002). Prenatally, NFP focuses on improving diet; reducing alcohol, tobacco, and other drug use during pregnancy; coordinating prenatal care; identifying pregnancy complications and treating them early; and helping expectant mothers plan their future (Kitzman et al., 1997). Postnatal priorities shift to assuring that the baby has a safe and healthy home; improving child physical care, emotional care, play skills, and communication skills that promote developmental gains; encouraging breast-feeding; maintaining maternal health behavior gains; reducing domestic violence (an issue given greater attention after the first randomized trial); and setting and achieving personal life-course goals.
Reviews of social service programs (e.g., Promising Practices Network http://www.promisingpractices.net/program.asp?programid=16, Lee et al., 2012; Miller & Levy, 2000) consistently conclude that strong evidence shows NFP works. Recruitment for the program’s first randomized controlled trial began in Elmira NY in 1978 (Olds, Henderson, Tatelbaum, & Chamberlin, 1986). Program model developers conducted additional trials in Denver and Memphis (Kitzman et al., 1997; Olds et al., 2002). These trials tracked participants longitudinally. Independent trials in Orange County, California, Louisiana, and the Netherlands added supporting evidence on short-term effects (Mejdoubi et al., 2014; Nguyen, Carson, Parris, & Place, 2003; Sonnier, 2007). Less robust evaluations also are accumulating on NFP effectiveness in broad-based implementation (e.g., Rubin et al., 2011).
Lee et al. (2012) used meta-analytic techniques to assess eight outcomes across the three trials by NFP’s developers. This article is broader. It provides a systematic review of findings on 21 outcomes including 10 with evidence from independent trials or operational programs. It adjusts all outcomes downward to account for imperfect fidelity in replication.
NFP began program replication in 1996. Unlike many operational programs, NFP replication is highly regimented and closely monitored (NFP National Service Office, 2011; Olds et al., 2013; Olds et al., 2002). Use of the NFP model and name is limited to implementing agencies that contract with the NSO, participate in centralized training and extensive reporting (including longitudinal data by client), pay fees to the NSO to administer the data system and monitor quality, and comply with 18 quality elements including standards governing maximum case loads of nurses and supervisors, time spent on NFP’s six domains, and nurse qualifications. NSO trains all nurse administrators, nurse supervisors, and nurse home visitors. NSO regional staff talk with state program coordinators at least weekly. Model improvements are evaluated in rigorous pilot studies (e.g., Ingoldsby et al., 2013), then rolled out to all sites.
By December 2013, 177,517 pregnant women enrolled in operational NFP programs (NFP National Service Office, 2014). Online Table 1 describes the enrollees. Estimated costs were $8,742 per family served (Karoly & Bigelow, 2005) and $1.55 billion total (in 2010 dollars). This article aims to estimate how NFP has will affect their lives and the lives of their babies, with future research planned on the associated return on investment.
Between Fiscal Years 2010 and 2014, the federal Maternal, Infant, and Early Childhood Home Visiting (MIECHV) Program provided $1.5 billion in funding to expand evidence-based home visiting programs. NFP programs received perhaps one quarter of all MIECHV funding. Thus, estimates of NFP’s outcomes can inform and bolster periodic reauthorization discussions.
Methods
To identify evaluations, we contacted NFP program model developers, replicators, and NSO staff, and searched the literature. We identified 39 evaluation reports on NFP spread over time and place. This included 23 reports on the 3 randomized trials by the program model’s developers. We extracted effectiveness estimates for 21 outcomes and added evidence captured by the NFP NSO’s mandatory reporting system on six of them. Randomized trials by the program model’s developers provided all published evidence on eight of the outcomes. We computed impacts on three additional outcomes – preterm second births, subsidized child care, and Medicaid spending per child recipient from – documented impacts.
Table 1 summarizes the randomized trials and rates their quality. It shows enrollment by arm. Both Elmira and Memphis included arms that only received prenatal visits. Post-natal outcomes were not tracked in Memphis for this arm and the associated control group.
Table 1.
Site | Denver | Elmira | Louisiana | Memphis | Netherlands b | Orange County c |
---|---|---|---|---|---|---|
Enrollment | 1994-1995 | 1978-1980 | 1999-2000 | 1990-1991 | 2006-2009 | 2000 |
Nurse-Visited, Prenatal | 235 | 216 (70) a | 241; 152 with >= 1 visit | 458 | 237 | 104 |
Nurse-Visited, Post-natal | 235 | 116 a | 106; 69 with >= 1 visit | 228 | 237 | N/A |
Comparison Group, Prenatal | 255 | 184 (105) a | 116; 88 with >= 1 visit | 681 | 223 | 121 |
Comparison Group, Post-natal | 255 | 184 a | 116; 88 with >= 1 visit | 515 | 223 | N/A |
Unmarried | 87% | 62% | 93% | 97% | 82% | 100% |
Low Income | 95% | 61% | 100% | 85% | 71% not working | 100% |
Black | 15% | 11% | 53% | 92% | 7% | 0% |
Hispanic or Creole | 49% | 0% | 44% | 0% | 8% | 100% |
Asian | 0% | 0% | 0% | 0% | 15% | 0% |
White Non-Hispanic | 36% | 89% | 3% d | 8% | 54%e | 0% |
Archival Data Through Age | 9 | 19 (23 underway) | 1 | 12 (17 underway) | Birth | Birth |
Survey @ Ages | 0, 1, 2, 4, 6, 9 years | 0, 1,2, 4, 15, 19, 23 years | 0, 6-8 mos, 14- 16 mos | 0, 1, 2, 6, 9, 12, 17 years | Intake, week 32 of pregnancy; 2, 6, 12, 24 months | 0 |
Grade | A | B at ages 0-4 due to exclusion of non-whites & inclusion of middle class in most estimates; A- thereafter due to small sample size excluding middle class | C- due to spotty documentation, heavy attrition and loss to follow-up | A | B+ since its eligibility criteria yielded a focus on a needier group than the US programs and birth data from midwives were incomplete | B- due to sparse outcomes, some pregnancies not at term when data were collected |
Includes 10 women who declined nurse-visitation and 11 who declined control group participation. Numbers in parentheses are counts of unmarried low-income mothers.
All enrollees were under age 26.
All enrollees were under age 20.
Includes Asian and Native American, as well as white.
Insufficient information was available to classify 16%. White includes 5% Turks and Moroccans.
Louisiana trial data are less reliable than data from other trials because of heavy early dropout and loss to follow-up. Documentation is incomplete (simply a list of significant findings) and study staff refused to provide access to unpublished supporting tables. The Orange County trial’s birth-outcome evaluation was conducted early, before some pregnancies reached term. Planned Orange County follow-up data were not collected at age 1 and county staff were unable to provide birth outcomes for mothers not included in the published report. We excluded a German trial because it did not use nurses as its home visitors. As in the paraprofessional visitor cohort of the Denver trial (Olds, et al., 2002), NFP delivery by German social workers and midwives had minimal effectiveness (Sandner, 2013a, 2013b).
This article looks across trials to decide which outcomes are assured and which are tentative. Some outcomes, however, only were measured in recent trials or time periods. For example, child psychological assessments first used in Memphis suggested NFP-associated improvements. That finding led to a more probing assessment in Denver which pinpointed the improvements. Such evolution prevents cross-trial comparison. As the last row in Table 1 shows, another source of non-equivalence is the variation in follow-up time between trials, notably in Elmira where follow-ups were spaced by 8-10 years.
The replication studies on operational programs use quasi-experimental designs. They compare outcomes for NFP mothers to outcomes for other mothers. Their quality is reduced by imperfect comparison group matching. Rubin et al. (2009, 2011) and Matone et al. (Matone, O’Reilly, Luan, Localio, & Rubin, 2012a, Matone, O’Reilly, Luan, Localio, & Rubin, 2012b), for example, used propensity scoring to select a comparison group but lacked the information needed to exclude families who declined NFP services. Decliners probably were at higher risk than those who accepted service. Conversely, lack of data on risk factors used in targeting NFP service offers means the comparison group also may include families at lower risk than NFP families. Thus the direction of bias is unclear.
We estimated program effectiveness using mixed methods. For binary outcomes (e.g., was a birth preterm or was the child injured), we meta-analytically pooled estimates across the randomized trials, favoring estimates that were regression-adjusted to achieve sample balance. We used systematic review methods for continuous outcomes because some NFP effectiveness estimates came from studies that published mean effect differences but nothing precise about their variance. Also, only one or two effectiveness estimates existed for those outcomes so we lacked enough studies to develop cross-study estimates of effect using meta-analytic regressions.
To arrive at effectiveness estimates, we pooled data from randomized trials or computed a mean estimate across them. As described below, we made exceptions for infant mortality as the trials were not powered to detect changes, welfare spending (because eligibility rules changed after the Elmira trial), and immunizations (where replication data favored one trial over another).
Programs typically have lower effectiveness in replication than randomized trial (Lee et al., 2012). Our estimates arbitrarily assume effectiveness declines proportionally with the decline in visits per family from trials to operational programs. That suggests outcomes in replication will be 78.2% of trial outcomes. We used the Crystal Ball® add-in to Excel to run bootstrap simulations that estimated 95% confidence intervals (CIs) around our estimated savings based on our standard error estimates for percentage gains, 10% standard errors for the unit medical costs, and a triangular distribution matching interstate visit rate variation for the replication factor.
Our outcome estimates often include problem incidence absent intervention. Additional baseline levels used to compute NFP savings were: (1) percentage of unmarried pregnant women who report smoking during third trimester (20.6% nationally, from online analysis of 2010 National Survey on Drug Use and Health data), (2) national repeat teen birth rate (Ikramullah, Barry, Manlove, & Moore, 2011), (3) 22% of first-time low-income births involving pregnancy-induced hypertension (PIH) from New York City Medicaid data prior to NFP implementation (Senter, Pai, & Miller, 2010), consistent with the 18% rate in the pooled Memphis and Elmira control groups, (4) national neonatal mortality rate of 0.419% (Martin et al., 2011); a rate for low income infants in Illinois of 1.33 times the average (8.1/6.1) (University of Illinois at Chicago, 2010), (5) national child maltreatment rates for low income families, by year of age, and by type (e.g., physical abuse) (Sedlak et al., 2010), (6) 17.4% of children aged 0-2 annually treated for injury nationally (Corso, Finkelstein, Miller, Fiebelkorn, & Zaloshnja, 2006), (7) national youth arrest rates by year of age in 2009 (Snyder, 2011) with an estimated 5.3% of youth crimes resulting in arrest (Miller & Hendrie, 2015), (8) alcohol, tobacco, and marijuana usage patterns at ages 12-15 from online analysis of 2010 National Survey on Drug Use and Health data.
Results
Table 2 summarizes evidence-based outcomes, our best estimates of effectiveness, and projected cumulative outcomes by 2031 for NFP clients enrolled in 1996-2013. Tables 3 and 4 provide evidence supporting the estimates. Here we describe the rationale for our choices. All effects are statistically significant at the 95% confidence level or greater unless otherwise stated.
Table 2.
Outcome | Change [95% CI] | Total [95% CI] |
---|---|---|
Smoking During Pregnancy | 24% ([5% CI: 2%, 47%] reduction in tobacco smoked | 8,865 [558, 17,172] |
Pregnancy Complications | 31% [16%, 47%] reduction in pregnancy-induced hypertension | 12,216 [6,211, 18,221] |
Preterm First Births | 15%[-2%, 32%] reduction in births below 37 weeks gestation (25 fewer preterm births per 1,000 families served) | 3,732 [-545, 8,009] |
Infant Deaths | 45% [31%, 63%] reduction in risk of infant death (2.8 fewer deaths per 1,000 families served) | 505 [323, 688] |
Closely Spaced Second Births | 31% [17%, 45%] reduction in births within 2 years postpartum (73 [40, 107] fewer children per 1,000 families served within 2 years & lifetime) | 12,989 [7,069, 18,909] |
Subsequent Abortions | 31% [3%, 38%] reduction in therapeutic abortions through 4 years post-partum | 4,724 [964, 8,484] |
Subsequent Preterm Births | 35 [19, 51] fewer subsequent preterm births per 1,000 families served | 6,284 [3,437, 9,131] |
Breastfeeding | 11% [4%, 19%] increase in mothers who breastfeed | 13,465 [4,250, 22,680] |
Intimate Partner Violence | 16% [8%, 24%] reduction through age 4 | 36,418 [18,694, 54,141] |
Childhood Injuries | 33% [22%, 43%] reduction in injuries treated in emergency departments, ages 0-2 | 15,732 [10,452, 21,012] |
Child Maltreatment | 31% [17%, 45%] reduction in child maltreatment, ages 4-15 | 42,450 [22,696, 62,204] |
Language Development | 39% [9%, 69%] reduction in language delay; 0.14 [.03, .25] fewer remedial services by age 6 | 28,180 [15,067, 41,294] |
Youth Violent Crimes | 45% [30%, 60%] reduction in crimes, ages 11-19 | 89,612 [59,354, 119,870] |
Youth Property & Public Order Crimes | 45% [30%, 60%] reduction in crimes, ages 11-19 | 593,611 [393,177, 794,045] |
Youth Arrests | 45% [30%, 60%] reduction in arrests, ages 11-19 | 36,103 [23,913, 48,293] |
Youth Substance Abuse | 53% [26%, 81%] reduction in alcohol, tobacco, & marijuana use, ages 12-15 | 41,296 [19,957, 62,635] |
Immunizations | 13% [-3%, 29%] increase in full immunization at age 2 | 16,154 [7,807, 24,501] |
TANF Payments | 6% [-2%, 13%] reduction through year 12 post-partum; no effect thereafter | $247 M [-92 M, 586 M] |
Food Stamp Payments | 10% [3%, 16%] reduction through at least year 12 post-partum | $540 M [165 M, 916 M] |
Person-months of Medicaid Coverage Needed | 8% [2%, 13%] reduction through year 18 post-partum due to reduced births and increased program graduation | 4.8 M [3.5 M, 6.1 M] |
Costs if on Medicaid | 8.5% [4.5%, 12.5%] reduction through age 18 | $1,433 M [880 M, 1,986 M] |
Total Medicaid Spending | Sum of monetized person-months of coverage needed plus costs if on Medicaid | $2,226 M [1,445 M, 3,007 M] |
Subsidized Child Care | Caseload reduced by 3.6 children [1.9, 5.2] per 1,000 families served | 630 [343, 917] |
M = millions. Costs are in 2010 dollars.
Table 3.
DOMAIN Community, Details of Measure, First Author (Year) | Control Cases | Yes (% or mean) | Treatment Cases | Yes (% or mean) | Relative Risk Decline | 95% CI |
---|---|---|---|---|---|---|
Pre-eclampsia | ||||||
Elmira, whites only, Olds et al. (1986) | 142 | 7.0% | 166 | 4.0% | 42.9% | [-48.7%, 78.0%] |
Memphis, Kitzman et al. (1997) | 671 | 20.0% | 455 | 13.0% | 35.0% | [13.8%, 51.0%] |
Pooled (p<.001) | 813 | 17.7% | 621 | 10.6% | 40.0% | [21.2%, 54.3%] |
Preterm First Birth | ||||||
Denver, Olds et al. (2002) | 237 | 10.1% | 222 | 10.4% | -2.3% | -[75.9%, 40.5%] |
Elmira, includes nonwhites, M. Knudtson, personal communication (2013) | 160 | 7.5% | 192 | 7.3% | 2.8% | [-104.2%, 53.7%] |
Louisiana, Sonnier et al. (2007) | 88 | 12.5% | 151 | 6.0% | 52.3% | [-10.5%, 79.4%] |
Memphis, Kitzman et al. (1997) | 633 | 12.0% | 426 | 10.3% | 14.0% | [-22.1%, 39.4%] |
Orange County, Nguyen et al. (2003) | 85 | 8.2% | 69 | 4.3% | 47.2% | [21.0%, 94.0%] |
Best Estimate: 5 pooled US trials (p = .053) | 1203 | 10.8% | 1,060 | 8.8% | 18.8% | [-4.6%, 37.0%] |
Netherlands, Mejdoubi et al. (2013) | 143 | 7.0% | 186 | 8.6% | -23.0% | [-162.9%, 42.4%] |
All NFP 2005-07 vs US age-matched, NFP NSO (2014); National Center for Health Statistics (n.d.) | 13.3% | 9.3% | 30.1% | |||
Oklahoma single birth very preterm <30 weeks, NFP vs other first time, Carabin et al. (2005)a | 8,598 | 0.7% | 55,737 | 0.9% | 27.1% | [4.7%, 44.3%] |
Central Ohio, Allen et al. (2010) vs undescribed local comparison group | - | - | >220 | - | 37-45% | - |
Mortality | ||||||
Memphis thru age 9, Olds et al. (2007) (p=.08) | 489 | 2.04% | 217 | 0.46% | 77.5% | [-74.9%, 97.1%] |
Memphis thru age 20, preventable-cause deaths, Olds et al. (2014b) (p=.04) | 489 | 1.84% | 217 | 0% | 100.0% | Cannot compute |
Denver infant, Olds et al. (2004b) | 237 | 0.84% | 222 | 0.45% | 46.6% | [-484.6%, 95.1%] |
Oklahoma, before age 1, NFP vs other first time, Carabin et al. (2005)a | 55,737 | 0.55% | 8,598 | 0.29% | 47.6% | [21.2%, 65.1%] |
Oklahoma, unmarried, before age 1, NFP vs other first time, Carabin et al. (2005)b | 22,556 | - | 5,239 | - | 64% | [37%, 83%] |
Oklahoma, mix of endpoints, ages between 1and 5, NFP vs other first time, Cox (2006)a | - | 0.82% | 12,474 | 0.34% | 58.7% | [44%, 70%] |
Cincinnati, infant, NFP or a 2nd program vs other local, Donovan et al. (2007) | 2,145 | 2.10% | 715 | 0.70% | 66.7% | [16.5%, 86.7%] |
Breastfeeding Attempted | ||||||
Elmira, attempt, whites only, Olds et al. (1983) | 121 | 31.0% | 68 | 36.0% | 16.2% | [-23.1%, 75.8%] |
Memphis, at 6 months, Kitzman et al. (1997) | 471 | 15.7% | 211 | 26.1% | 65.9% | [21.8%, 125,9%] |
Pooled (p =.001) | 592 | 18.8% | 279 | 28.5% | 51.3% | [17.8%, 94.3%] |
Netherlands attempt, Mejdoubi et al. (2014) | 109 | 78.0% | 158 | 82.3% | 5.5% | [-6.7%, 19.4%] |
Netherlands at 6 months, Mejdoubi et al. (2014) | 108 | 5.6% | 156 | 13.5% | 142.3% | [1.1%, 480.4%] |
NYC, attempt vs first-time Medicaid, NYC Dept of Health & Mental Hygiene (2013) | - | 86% | V | 91% | 5.8% | - |
NYC, exclusive at 2 months, NYC Dept of Health & Mental Hygiene (2013) | - | 30% | - | 40% | 33.3% | - |
All NFP in 2009, attempt, NFP NSO (2014) vs all WIC-eligible, Johnson et al. (2012) | 1,400,000 | 67.1% | 13,490 | 79.1% | 17.9% | - |
Child Injury at Ages 0-2 | ||||||
Elmira, 0-24 months, whites only, Olds et al. (1986) | 121 | 40.0% | 75 | 27.0% | 32.5% | [-3.9%, 56.2%] |
Memphis, 0-24 months, unpublished 2006 reanalysis with improved statistical methods, D Olds, personal communication (2011) | 467 | 56.0% | 208 | 42.0% | 39.1% | [27.8%, 48.7%] |
Louisiana, 0-15 months, Sonnier (2007) | 116 | 69.0% | 66 | 34.5% | 50.0% | [28.8%, 64.9%] |
Pooled (p<.001) | 704 | 64.0% | 349 | 37.4% | 41.6% | [32.4%, 49.6%] |
Pennsylvania, 0-24 months, ED-treated, Matone et al. (2012b) | 16,704 | 36.4% | 5,016 | 41.5% | -14.0% | [-9.7%, -18.5%] |
Child Maltreatment | ||||||
Elmira, ages 4-15 years, Eckenrode et al., 2000 | 184 | 73% | 116 | 44% | 39.7% | [22.8%, 53.0%] |
Netherlands, 0-36 months, Mejdoubi et al. (2015) | 164 | 18.9% | 168 | 10.7% | 43.3% | [2.8%, 67.0%] |
Second Birth Within 24 Months | ||||||
Elmira low-income whites, Olds et al. (1988) | 52 | 39.0% | 25 | 10.8% | 72.2% | [10.0%, 91.4%] |
Memphis, Kitzman et al. (1997) | 467 | 31.0% | 208 | 22.0% | 29.0% | [5.2%, 46.9%] |
Denver, Olds et al. (2002) | 223 | 19.0% | 194 | 12.0% | 36.8% | [-0.01%, 60.4%] |
Pooled (p<.001) | 742 | 28.0% | 427 | 16.8% | 39.9% | [23.5%, 52.7%] |
Pennsylvania, 2000-2003, Rubin et al. (2010) | - | 18.9% | - | 19.3% | -9% | [-26%, 5%] |
Pennsylvania, 2004-2005, Rubin et al. (2010) | - | 19.0% | - | 16.8% | 13% | [4%, 20%] |
Abortion Within 48 Months | ||||||
Elmira low-income whites, Olds et al. (1988) | 54 | 12.0% | 28 | 10.0% | 16.7% | [-213.6%, 77.9%] |
Memphis, Kitzman et al. (2000) | 443 | 10.0% | 203 | 5.0% | 50.0% | [3.1%, 74.2%] |
Denver, Olds et al. (2004b) | 220 | 5.2% | 204 | 4.9% | 5.7% | [-115.5%, 58.8%] |
Pooled (p=.034) | 717 | 8.7% | 435 | 5.3% | 39.2% | [3.3%, 61.8%] |
Intimate Partner Violence Through Age 4 | ||||||
a. Denver, ages 0-6 mos, M. Knudtson, personal communication (2014) | 220 | 12.7% | 184 | 10.3% | 18.9% | [-40.4%, 53.1%] |
b. Denver, ages 6-12 months, same source as a | 219 | 9.6% | 187 | 10.2% | -6.0% | [-91.0%, 41.2%] |
c. Denver, ages 15-21 monthss, same source as a | 225 | 9.3% | 202 | 8.9% | 4.5% | [-74.0%, 47.6%] |
d. Denver, age 4, Olds et al. (2004b) | 220 | 10.0% | 204 | 4.9% | 51.0% | [-0.1%,76.2%] |
e. Denver pooled ages 0-4 | 884 | 10.4% | 777 | 8.5% | 18.4% | [-10.3%, 39.6%] |
f. Memphis, ages 0-5, Olds et al. (2004a), recall-adjusted 6 month | 444 | 18.2% | 197 | 17.8% | 1.8% | [-21.1%. 20.4%] |
g. Louisiana, ages 0-1, Nagle (2002) | 63 | 28.6% | 56 | 19.6% | 31.3% | [-32.8%, 64.4%] |
Best US estimate per 6 months, ages 0-4; pool e, f, g (p=.036) | 1,391 | 13.7% | 1,030 | 10.9% | 20.6% | [1.1%, 36.1%] |
Netherlands, ages 1-2, Mejdoubi et al. (2013), recall-adjusted 6 month | 223 | 37.7% | 237 | 22.4% | 40.5% | [22.8%, 54.1%] |
All NFP, intake vs 36 weeks, NFP NSO (2014) | 83,313 | 2.9% | 83,313 | 1.8% | 37.9% | [33.9%. 41.8%] |
Youth Arrests, Lifetime | ||||||
Elmira, ages 11-19, Eckenrode et al. (2010) | 140 | 0.86 | 91 | 0.37 | 57.0% | [20%, 77%] |
Note: NS=Not significant - = Not reported
The control group had higher income and marriage rates. The article lacked data needed to combine its regression adjusted estimates. Looking across 4 subgroups, it seemed unlikely that preterm births declined.
Comparison group estimate regression-adjusted for equivalency.
Table 4.
Domain Community | Study | Compar- ison | NFP | % change | Notes |
---|---|---|---|---|---|
Measure Smoking During Pregnancy | |||||
Elmira self-report, cigarettes/smoker | Olds et al. (1986) | 11.3% | -16.0% | -27.4% | p<.01 |
Memphis, self-report, cigarettes/smoker | D. Luckey, personal communication (2012) | - | - | decline | NS |
Denver, smoker cotinine level | Olds et al., 2002 | -12.32 | -259.00 | -31.3% | p<.05 |
Netherlands, self-report, # cigarettes | Mehjdoubi et al. (2014) | 61.7% | 73.4% | -19.0% | p=.03 ? |
Pennsylvania, operational start-up, birth certificate, # smokers | Matone et al. (2012a) | 25.8% | 28.4% | -10.1% | p =.11 |
Pennsylvania, mature operational program, birth certificate, # smokers | Matone et al. (2012a) | 27.5% | 35.4% | -28.7% | p<.01 |
All NFP, intake vs 36 weeks, # self- reported smokers | NFP National Services Office (NSO) (2014) | 12.6% | 10.6% | -15.9% | weak evidence |
Language Development | |||||
Elmira, language development, measured at age 3 & age 4, white low income teens | Olds, Henderson & Kitzman (1994) | 11%, 20% | p<.01 | ||
Memphis, storytelling skills & receptive vocabulary, age 6 | Olds et al. (2004a) | 3%, 5% | p<.05 | ||
Denver, language delay at age 2 & age 4; confirmed by Memphis measures at age 6 | Olds et al. (2002, 2004b, 2014b) | -50% | p<.05 | ||
Youth Substance Abuse | |||||
Elmira, 6-month use alcohol, tobacco, & other drugs, ages 12-15 | Olds et al. (1998), reanalyzed | - | - | -67% | p<.05 |
Elmira, 6-month use alcohol, age 19 | Eckenrode et al. (2010) | 31.8% | 28.4% | -10.7% | p=.60 |
Elmira, 6-month use illicit drugs, age 19 | Eckenrode et al. (2010) | 51.9% | 48.7% | -6.2% | p=.57 |
Memphis, 30-day use ATOD, age 12 | Kitzman et al. (2010) | 5.1% | 1.7% | -69% | p=.04 |
Full Immunization | |||||
Elmira, complete at age 2, whites only | Olds et al. (1983) | 66.8% | 78.4% | 17.4% | p=.14 |
Memphis, age 2, control received reminder & transport | Kitzman et al. (1997) | 68% | 70% | 2.9% | p=.60 |
NYC, age 2, NFP vs all births | NYC Dept of Health & Mental Hygiene (2013) | 77% | 94% | 22.1% | - |
Nationally, age 2, NFP nurse-assessed vs Medicaid HMO client HMO-assessed | NFP NSO (2014), National Committee for Quality Assurance (2011) | 70% | 92% | 31.4% | - |
TANF Payments Per Year | |||||
Elmira, ages 0-15 | Glazner et al. (2004) | 4,358 | 2,866 | -34.2% | p=.05 |
Memphis, ages 0-12 | Olds et al. (2010) | 2,782 | 2,467 | -11.3% | p=.14a |
Denver, ages 0-4 | Glazner et al. (2004) | 3,304 | 3,204 | -3.0% | p=.64 |
FOOD STAMPS | |||||
Elmira, ages 0-15 | Glazner et al. (2004) | 2,119 | 1,476 | -30.3% | p=.03 |
Memphis, ages 0-12 | Olds et al. (2010) | 3,222 | 2,870 | -10.9% | p<.01 |
Denver, ages 0-4 | Glazner et al. (2004) | 2,684 | 2.383 | -11.2% | p=.22 |
Months per Year Income-Eligible for Medicaid | |||||
Elmira, ages 0-15 | Olds et al. (1997) | 4.67 | 4.10 | -13.0% | p=.16 |
Memphis, ages 0-12 | Olds et al. (2010) | 8.39 | 8.08 | -3.7% | p=.22b |
Denver, ages 0-6 | D. Luckey, personal communication (2012) | 4.15 | 3.91 | -5.8% | p=.48 |
Note: NS=Not significant - = Not reported
Months on TANF differ at p=.05
Medicaid HMO payments differ at p<.01
Reduced Smoking during Pregnancy
NFP mothers smoke 24.2% less tobacco during their pregnancy.
Rationale for Percentage Chosen
Cotinine is the gold-standard measure of tobacco use. Therefore, we chose the Denver trial’s value (times 78.2% expected in replication) over the self-reported estimates. The PA study and NFP data system captured number of smokers rather than quantity smoked. Their information came from birth certificates or other self reports which are an unreliable source of data on smoking during pregnancy (Northam & Knapp, 2006).
Reduced Pregnancy-Induced Hypertension (PIH)
PIH declined by 31.3%.
Rationale
We multiplied a pooled 40% PIH reduction in Elmira and Memphis times the 78.2% replication factor.
Fewer Preterm First Births
NFP reduces preterm births (less than 37 weeks) by 14.7%.
Rationale
Because we want to estimate the impact of NFP in the US, we used the 18.8% pooled decrease across 5 US randomized trials times the 78.2% replication factor. We suspect this estimate is a conservative lower bound, both because prenatal visits per family have not declined from trials to replication and because the 30% reductions observed in three analyses of operational programs suggest that 14.7% may be low.
Fewer Infant Deaths
NFP participation reduces infant deaths by 45.4%.
Rationale
We chose the 58% (95% CI 44%-70%) mortality reduction from Cox’s OK study over the Cincinnati rate because results were not commingled with another program. We conservatively defined it as mortality reduction before age 1 and chose it over the sustained 60.7% reduction in Memphis through age 9. Although the evidence came from operational programs, comparison group biases (see the online supplement) led us to reduce effectiveness with the 78.2% replication factor.
Improved Birth Spacing
NFP mothers have 31.2% fewer closely spaced second births within 24 months, thus reducing risks of costly complications. In years 3-12 post-partum, NFP neither raises nor lowers the birth rate.
Rationale
The pooled 39.9% estimate of reduction in close spacing from the 3 randomized trials is of highest quality. Applying the 78.2% replication factor yields a 31.3% reduction in closely spaced births in replication, close to the 27% decline for young mothers in PA and the 31% decline in New York City. Multiplying the percentage reduction times the U.S. 2008 repeat teen birth rate of 23.46% (Ikramullah et al., 2011) (a more conservative choice than the 28.0% rate among controls in the pooled trials) suggests NFP mothers choose to bear an average of. 0735 fewer subsequent children than controls (or .094 before the replication adjustment, a number used in the online supplement).
Fewer Abortions within 48 Months of the First Birth
30.7% reduction in abortions through child age 3.
Rationale
We multiplied the 39.2 % reduction in pooled Elmira low income, Memphis and Denver data times the 78.2% replication factor.
Fewer Subsequent Preterm Births
NFP mothers have 0.035 fewer subsequent preterm births.
Computations
The online supplement describes the calculations. They account for the preterm birth rate for any subsequent birth and the rate elevation for closely spaced births.
Increased Breastfeeding Attempts
11.2% (7.6 percentage point) increase in mothers who tried breastfeeding.
Rationale
In pooled Elmira and Memphis data, breastfeeding rose 9.7 percentage points. Multiplying times 78.2% yields an estimated 7.6 percentage point increase (an 11.3% increase over the 2011 WIC-eligible breastfeeding level). This estimate should be conservative as it is lower than the observed 10.0-11.6 percentage point increase in operational programs.
Reduced Intimate Partner Violence (IPV)
16.1% reduction in IPV through child age 4.
Rationale
Violent victimization is subject to recall bias (Bushery, 1981). Therefore, we favored 6-month over 3 year recall in Denver. As the online supplement details, we adjusted recall beyond 6 months for recall bias and computed 6-month victimization rates from longer-term reports. Pooling US data from like time periods (including using the presumably understated 2% estimate from Memphis at ages 0-5 multiple times), average reductions were 31.7% prenatally, 19.5% at ages 0-2, and 26.9% at age 4. Reductions of 12.5% - 15.1% at ages 6 and 9 were not significant at even the 80% confidence level, so we assumed reductions ended at age 4. From ages 0-4, IPV was reduced by 20.6%, which we multiplied times the 78.2% replication factor. We defined IPV rates per 6-month period absent NFP as the 13.7% post-natal probability and 18.1% prenatal probability in the pooled control groups from US trials.
Fewer Childhood Injuries
Through age 2, NFP babies have 32.6% fewer injuries treated in emergency departments (EDs) or admitted to hospital.
Rationale
Multiplying the pooled 41.6% reduction (95% CI 32.4%, 49.6%) across the Elmira, Louisiana, and Memphis trials times 78.2% suggests a 32.6% reduction in replication.
Fewer Child Maltreatments
NFP reduces child maltreatment by 31.0% at ages 4 through 15.
Rationale
We multiplied the 39.7% US reduction from Elmira (which is slightly lower than the Dutch reduction) times the 78.2% replication factor. Child maltreatment follows a severity distribution so we assume unconfirmed case counts will change as CPS-confirmed (substantiated or otherwise indicated) counts do. That assumption is conservative because NFP increases detection and captures evidence required for substantiation (Olds, Henderson Jr., Kitzman, & Cole, 1995), which should cause a larger decrease in unconfirmed than confirmed cases. Temporally, reductions are concentrated at ages 4-15 (Zielinski et al., 2009). Our analysis conservatively assumes any effect before that age is subsumed in the broader reduction in nonfatal injury through age 2.
Better Language Development
NFP reduces language delay by 39.1%, thus reducing the need for pre-school or school-based remedial services.
Rationale
Although the Elmira and Memphis trials demonstrated language development gains, Denver measured them more clearly. We multiplied the 50% reduction in Denver times the 78.2% replication factor.
Fewer Youth Criminal Offenses
NFP reduces youth arrests by 44.6% at ages 11 through 19, with reduced arrests of girls predominating and arrest probabilities equalizing by age 19.
Rationale
To date, this outcome only was reported in Elmira. We multiplied Elmira’s 57% reduction times the 78.2% replication factor. We assumed reduction in crimes committed mirrored reduction in arrests.
Reduced Youth Substance Abuse
NFP reduces alcohol, tobacco, and marijuana use by 53.2% at age 12 until at least age 15.
Rationale
We multiplied the 68% average reduction in Elmira and Memphis times the 78.2% replication factor.
Increased Immunizations
NFP participation is associated with a 13.0% (9.1 percentage point) increase in probability that children covered by Medicaid will have complete immunizations at age 2.
Rationale
We multiplied the 11.6 percentage point reduction versus Elmira controls without transport assistance times the 78.2% replication factor. The Memphis trial estimate on this measure is contaminated because the trial reminded controls about and transported them to immunizations. Although 2 operational program comparisons found statistically significant 19 and 22 percentage point differences (p>.95), neither was based on a carefully matched sample.
Reduced TANF Payments
NFP reduces Temporary Assistance for Needy Families (TANF) payments by 5.6% for 12 years post-partum. These savings result from reduced subsequent births and altered earning patterns that reduce TANF eligibility and payments per eligible family.
Rationale
We multiplied the 7.2% average reduction for the TANF-specific Memphis and Denver evaluations times the 78.2% replication factor. Applying this percentage to current TANF participation data accounts for the downward shift in participation since1996.
Reduced Food Stamp Payments
NFP reduces food stamp payments by 9.6% for at least 12 years post-partum. These savings result from reduced subsequent births and altered earning patterns that reduce food stamp eligibility and payments per eligible family.
Rationale
We multiplied the 12.3% average reduction across the 3 trials times the 78.2% replication factor.
Reduced Need for Medicaid Coverage
NFP reduces person-months on Medicaid by 7.6% for at least 15 years post-partum, with these savings expected to continue. The participation reductions have two causes. First, the reduced second birth rate resulting from NFP services and possibly differences in earning patterns increase Medicaid graduation of mothers and to a lesser extent, of first-born children (although fewer children would graduate today because the Child Health Insurance Program and Affordable Care Act raised many state income eligibility thresholds). Second, NFP mothers bear fewer children. The births avoided are closely spaced ones at high risk of costly complications. Associated Medicaid cost savings include both birth-related costs and costs of continuing Medicaid participation of these second babies.
Rationale
We multiplied the 9.8% average reduction across the 3 trials times the 78.2% replication factor.
Lower Costs if on Medicaid
NFP reduces the present value of Medicaid spending per child recipient by 8.5% from birth through age 18 (bootstrap-estimated 95% CI 4.5%, 12.5%). As documented above, NFP reduces smoking during pregnancy and related prematurity, pregnancy-associated preeclampsia, child injury in the first two years of life, medical and mental health spending on victims of child maltreatment, adherence to immunization schedules, and second births with complications. Those health status improvements should reduce Medicaid claims costs of mothers and first-born children.
Rationale
Data availability prevented direct evaluation of savings in the randomized trials. The online supplement models the savings. We divided the savings by the present value of annual Medicaid spending per child recipient from birth through age 18 exclusive of live birth costs, $35,287 (Henry J Kaiser Family Foundation, n.d.).
Reduced Subsidized Child Care, Second Births
An estimated 4.85% of the second babies who would have been born within two years of the first birth would have used subsidized child care funded by the Child Care Development Block Grant.
Computation
4.85% of Medicaid and SCHIP children use subsidized child care nationwide (Office of Child Care, 2010). We multiplied that rate times the 7.35% reduction in subsequent births (derived above).
Other Outcomes
As the on-line supplement details, low birth weight, subsequent miscarriages, intimate parther violence after age 4, maternal criminal offenses, maternal depression, and grade retention declined in some trials but not in others or changed consistently but not enough to differ statistically from controls at the 90% confidence level.
Outcomes Achieved
The last column in Table 2 shows estimated problems that program enrollments in 1996-2013 prevented or are projected to prevent and 95% confidence intervals for those estimates. NFP enrollments through 2013 will prevent a projected 500 infant deaths, 10,000 preterm births, 4,700 abortions, 13,000 dangerous closely spaced second births, 42,000 child maltreatment incidents, 16,000 other child injuries, 36,000 intimate partner violence incidents, 90,000 violent crimes by youth, 594,000 property and public order crimes (e.g., vandalism, loitering) by youth, 36,000 youth arrests, and 41,000 person-years of youth substance abuse. It will cause 16,000 children to comply with immunization schedules.
Since NFP families earn more and space children better, they place fewer burdens on government safety net programs. NFP is expected to eliminate the need for 4.8 million person-months of child Medicaid coverage. In 2010 dollars, (converted to present value using a 3% discount rate), it will reduce estimated spending on TANF by $250 million, on food stamps by $540 million, and on Medicaid by $2.2 billion. Safety net savings will total $3.0 billion.
Discussion
NFP has broad-reaching effects on lives of mothers and children. Longitudinal NFP trials, therefore, can assess hundreds of outcomes. Statistically, a 95% confidence level means 95 of 100 significant differences are real and 5 are artifacts, random events that do not represent true differentials. Given that, this systematic review fills a critical need by identifying findings that are consistent across trials or are significant at the 99% confidence interval, meaning they should remain significant after statistical adjustment to account for the large number of outcomes tested.
Ethnic diversity of the trial populations is both a strength and a weakness. Reassuringly, trial findings replicate across cultures. Differential effectiveness, however, could represent cultural differences rather than lack of replicability. Olds et al. (1986) reported Elmira results for white mothers only while Orange County was restricted to teenaged Hispanic mothers. By design, these trials essentially become subgroup analyses. If outcomes vary by race/ethnicity, our practice of computing pooled cross-trial impacts giving each family equal weight may not yield a valid picture for the US as a whole. At the same time, stratifying by race would virtually exclude Asians and Native Americans and force reliance on subgroup analyses for blacks. Smaller samples in subgroup analyses tend to lack statistical power and have wide uncertainty.
Our analysis has additional limitations. Some outcomes only were evaluated in one trial. Even pooling across six trials, impacts on birth outcomes are clouded by modest statistical power. (Ongoing trials should elucidate these effects.) Recent changes in safety net program rules, smoking rate, and teen birth rate reduce our confidence that related trial outcomes are replicable. Impact estimates also are less certain for outcomes like child maltreatment and medically treated injuries where nurse presence can increase reporting or change treatment decisions. Estimated Medicaid savings largely are computed, not observed. Although effectiveness is likely to decline from trials to operational programs, the degree of decline is unclear so our adjustment unavoidably is somewhat arbitrary. Finally, our national estimates implicitly assume operational program and trial populations are similar. Indeed, the birth-proximal outcomes generally replicate or are exceeded in the trials not conducted by the developers, the national data system, and many of the methodologically weaker evaluations of program efficacy in operational programs.
NFP clearly achieved most of its goals. It enriched the lives of participating low-income mothers and their offspring. It will benefit society more broadly by reducing crime and safety net demand. The $3.0 billion in expected TANF, food stamp, and Medicaid spending reductions (95% CI: $2.0-$4.1 billion) far exceed the program’s $1.6 billion cost.
Federal policy has embraced home visiting programs. Our findings affirm that home visiting using the NFP program model makes major differences in the lives of low income families. It reduces intimate partner violence, child maltreatment, and youth crime and substance abuse, increases independence, and saves both money and lives. Expanding MIECHV and other public funding for NFP thus seems a wise investment. Nevertheless, the high cost per family requires a substantial front-end investment.
Supplementary Material
Acknowledgments
This work was partially funded by National Institute of Drug Abuse grant 1-R01 DA021624. Thanks to David Olds, Mike Knudtson, Dennis Luckey, Denise Nguyen, Jamila Mejdoubi, and the NFP NSO for supplying unpublished data and answering questions. Numerous reviewers provided extremely helpful comments, notably Tamar Bauer, Karen Kalaijian, Sandy Dunlap, and other staff of the NFP NSO, David Olds, and anonymous reviewers enlisted by the Pew Center on the States and this journal. The views expressed are those of the author and do not necessarily reflect those of the funders or reviewers. In terms of possible conflicts, the author receives consulting fees for economic analysis support from the NFP NSO.
References
- Allen S, Blum DP, Gabbe SG, Von Zychin C, Brooks P, Brown M, O’Grady J, Long T. Better beginnings: 2009 annual report. Columbus, OH: Better Birth Outcomes; 2010. [Google Scholar]
- Bushery J. Recall bias for different reference periods in the National Crime Survey. 1981 Proceedings of the Section on Survey Research Methods, American Statistical Association. 1981:238–243. [Google Scholar]
- Carabin H, Cowan LD, Beebe LA, Skaggs VJ, Thompson D, Agbangla C. Does participation in a nurse visitation programme reduce the frequency of adverse perinatal outcomes in first-time mothers? Paediatric Perinatal Epidemiology. 2005;19(3):194–205. doi: 10.1111/j.1365-3016.2005.00651.x. [DOI] [PubMed] [Google Scholar]
- Conde-Agudelo A, Rosas-Bermúdez A, Kafury-Goeta AC. Birth spacing and risk of adverse perinatal outcomes: A meta-analysis. Journal of the American Medical Association. 2006;295(15):1809–1823. doi: 10.1001/jama.295.15.1809. [DOI] [PubMed] [Google Scholar]
- Corso PC, Finkelstein E, Miller TR, Fiebelkorn IA, Zaloshnja E. Incidence and lifetime costs of injuries in the United States. Injury Prevention. 2006;12(4):212–218. doi: 10.1136/ip.2005.010983. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cox M. An analysis of deaths among infants and children born into the Children First program, 1997-2004. Oklahoma City: Children First; 2006. [Google Scholar]
- Donovan EF, Ammerman RT, Besl J, Atherton H, Khoury JC, Altaye M, Putnam FW, Van Ginkel JB. Intensive home visiting is associated with decreased risk of infant death. Pediatrics. 2007;119(6):1145–1151. doi: 10.1542/peds.2006-2411. [DOI] [PubMed] [Google Scholar]
- Eckenrode J, Campa M, Luckey DW, Henderson CR, Jr, Cole R, Kitzman H, Anson E, Sidora-Arcoleo K, Powers J, Olds D. Long-term effects of prenatal and infancy nurse home visitation on the life course of youths: 19-year follow-up of a randomized trial. Archives of Pediatric & Adolescent Medicine. 2010;164(1):9–15. doi: 10.1001/archpediatrics.2009.240. [DOI] [PubMed] [Google Scholar]
- Eckenrode J, Ganzel B, Henderson C, Smith E, Olds D, Powers J, Cole R, Kitzman H, Sidora K. Preventing child abuse and neglect with a program of nurse home visitation: The limiting effects of domestic violence. Journal American Medical Association. 2000;284(11):1385–1391. doi: 10.1001/jama.284.11.1385. [DOI] [PubMed] [Google Scholar]
- Glazner J, Bondy J, Luckey D, Olds D. Final report to the Administration for Children and Families: Effect of the nurse family partnership on government expenditures for vulnerable first-time mothers and their children in Elmira. New York, Memphis, Tennessee, and Denver, Colorado Washington, DC: Administration for Children and Families, Office of Planning, Research and Evaluation; 2004. [Google Scholar]
- Henry J Kaiser Family Foundation. Medicaid payments per enrollee, FY 2010. (n.d.) Retrieved July, 2014, from http://kff.org/medicaid/state-indicator/medicaid-payments-per-enrollee/
- Ikramullah E, Barry M, Manlove J, Moore KA. Facts at a glance: A fact sheet reporting national, state, and city trends in teen child-bearing. Washington, DC: Child Trends; 2011. [Google Scholar]
- Ingoldsby EM, Baca P, McClatchey MW, Luckey DW, Ramsey MO, Loch JM, Lewis J, Blackaby TS, Petrini MB, Smith BJ, McHale M, Perhacs M, Olds DL. Quasi-experimental pilot study of intervention to increase participant retention and completed home visits in the nurse-family partnership. Prevention Science. 2013;14(6):525–534. doi: 10.1007/s11121-013-0410-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson B, Thorn B, McGill B, Suchman A, Mendelson M, Patlan KL, Freeman B, Gotlieb R, Connor P. WIC participant and program characteristics 2012 final report. Washington DC: Food and Nutrition Service, US Department of Agriculture; 2013. [Google Scholar]
- Karoly LA, Bigelow JH. The economics of investing in universal preschool education in California. Santa Monica, CA: RAND Corporation; 2005. [Google Scholar]
- Kitzman H, Olds DL, Henderson CR, Jr, Hanks C, Cole R, Tatelbaum R, McConnochie KM, Sidora K, Luckey DW, Shaver D, Engelhardt K, James D, Barnard K. Effect of prenatal and infancy home visitation by nurses on pregnancy outcomes, childhood injuries, and repeated childbearing: A randomized controlled trial. Journal of the American Medical Association. 1997;278(8):644–652. [PubMed] [Google Scholar]
- Kitzman H, Olds DL, Sidora K, Henderson CR, Jr, Hanks C, Cole R, Luckey DW, Bondy J, Cole K, Glazner J. Enduring effects of nurse home visitation on maternal life course: A 3-year follow-up of a randomized trial. Journal of the American Medical Association. 2000;283(15):1983–1999. doi: 10.1001/jama.283.15.1983. [DOI] [PubMed] [Google Scholar]
- Kitzman HJ, Olds DL, Cole RE, Hanks CA, Anson EA, Arcoleo KJ, Luckey DW, Knudtson MD, Henderson CR, Jr, Holmberg J. Enduring effects of prenatal and infancy home visiting by nurses on children: Follow-up of a randomized trial among children at age 12 years. Archives of Pediatric and Adolescent Medicine. 2010;164(5):412–418. doi: 10.1001/archpediatrics.2010.76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee S, Aos S, Drake E, Pennucci A, Miller M, Anderson L. Return on investment: Evidence-based options to improve statewide outcomes. Olympia: Washington State Institute for Public Policy; 2012. [Google Scholar]
- Martin JA, Hamilton BE, Ventura SJ, Osterman MJK, Kirmeyer S, Mathews TJ, Wilson EC. Births: Final data for 2009. Vol. 60. Hyattsville, MD: National Vital Statistics System, National Center for Health Statistics; 2011. p. 1. [PubMed] [Google Scholar]
- Matone M, O’Reilly A, Luan X, Localio R, Rubin D. Home visitation program effectiveness and the influence of community behavioral norms: a propensity score matched analysis of prenatal smoking cessation. BMC Public Health. 2012a;12(1):1016. doi: 10.1186/1471-2458-12-1016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Matone M, O’Reilly A, Luan X, Localio A, Rubin D. Emergency department visits and hospitalizations for injuries among infants and children following statewide implementation of a home visitation model. Maternal and Child Health Journal. 2012b;16(9):1754–1761. doi: 10.1007/s10995-011-0921-7. [DOI] [PubMed] [Google Scholar]
- Mejdoubi J, van den Heijkant SC, van Leerdam FJ, Crone M, Crijnen A, Hirasing RA. Effects of nurse home visitation on cigarette smoking, pregnancy outcomes and breastfeeding: A randomized controlled trial. Midwifery. 2014;30(6):688–695. doi: 10.1016/j.midw.2013.08.006. [DOI] [PubMed] [Google Scholar]
- Mejdoubi J, van den Heijkant SC, van Leerdam FJ, Heymans MW, Hirasing RA, Crijnen AA. Effect of nurse home visits vs. usual care on reducing intimate partner violence in young high-risk pregnant women: A randomized controlled trial. PLoS ONE. 2013;8(10):e78185. doi: 10.1371/journal.pone.0078185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mejdoubi J, van den Heijkant SC, van Leerdam FJ, Heymans MW, Crijnen AA, Hirasing RA. The effect of VoorZorg, the Dutch nurse family partnership, on child maltreatment and development: A randomized controlled trial. PLoS ONE. 2015;10(4):e0120182. doi: 10.1371/journal.pone.0120182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Miller T, Hendrie D. Incidence and costs of violence and other personal crimes, United States, 2010. Calverton, MD: Pacific Institute for Research & Evaluation; 2015. [Google Scholar]
- Miller TR, Levy DT. Cost-outcome analysis in injury prevention and control: Eighty-four recent estimates for the United States. Medical Care. 2000;38(6):562–582. doi: 10.1097/00005650-200006000-00003. [DOI] [PubMed] [Google Scholar]
- Nagle G. Unpublished Doctoral dissertation. Tulane University; New Orleans, LA: 2002. Maternal participation, depression, and partner violence in a state-run child abuse prevention program: Louisiana nurse home visitation, 1999-2002. [Google Scholar]
- National Center for Health Statistics. Health data interactive. (n.d.) Retrieved May 11, 2011, from the World Wide Web: http://www.cdc.gov/nchs/hdi.htm.
- National Committee for Quality Assurance. Continuous improvement and the expansion of quality measurement: The state of health care quality 2011. National Committee for Quality Assurance; 2011. Retrieved February 28, 2012, from the World Wide Web: http://www.ncqa.org/LinkClick.aspx?fileticket=FpMqqpADPo8%3D. [Google Scholar]
- Nguyen JD, Carson ML, Parris KM, Place P. A comparison pilot study of public health field nursing home visitation program interventions for pregnant Hispanic adolescents. Public Health Nursing. 2003;20(5):412–418. doi: 10.1046/j.1525-1446.2003.20509.x. [DOI] [PubMed] [Google Scholar]
- Northam S, Knapp TR. The reliability and validity of birth certificates. Journal of Obstetrics, Gynecology, and Neonatal Nursing. 2006;35(1):3–12. doi: 10.1111/j.1552-6909.2006.00016.x. [DOI] [PubMed] [Google Scholar]
- Nurse-Family Partnership National Service Office. [July 2014];Guidance for implementation and quality of the Nurse-Family Partnership Program. 2011 Retrieved from http://www.nursefamilypartnership.org/assets/PDF/Policy/HV-Funding-Guidance/NFP_Guidance_Implementation_Quality.aspx.
- Nurse-Family Partnership National Service Office. Quarterly report for national NFP: Data through 31 Dec 2013. Denver: Nurse-Family Partnership National Service Office; 2014. [Google Scholar]
- Office of Child Care. FY 2010 final CCDF allocations (Including realloted funds) Administration for Children and Families, DHHS; 2010. [Google Scholar]
- Olds DL. Final Report from U S Department of Justice. Denver, CO: University of Colorado; 2010. [Google Scholar]
- Olds DL, Donelan-McCall N, O’Brien R, MacMillan H, Jack S, Jenkins T, Dunlap WPI, O’Fallon M, Yost E, Thorland B, Pinto F, Gasbarro M, Baca P, Melnick A, Beeber L. Improving the nurse-family partnership in community practice. Pediatrics. 2013;132(Suppl 2):S110–S117. doi: 10.1542/peds.2013-1021I. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Olds DL, Eckenrode J, Henderson CR, Kitzman H, Powers J, Cole R, Sidora K, Morris P, Pettitt LM, Luckey D. Long-term effects of home visitation on maternal life course and child abuse and neglect. Journal of the American Medical Association. 1997;278(8):637–643. [PubMed] [Google Scholar]
- Olds DL, Henderson CR, Birmingham MT, Chamberlin R, Tatelbaum R. Final report: Prenatal/early infancy project. Springfield VA: National Technical Information Service; 1983. [Google Scholar]
- Olds DL, Henderson CR, Jr, Cole R, Eckenrode J, Kitzman H, Luckey D, Pettitt L, Sidora K, Morris P, Powers J. Long-term effects of nurse home visitation on children’s criminal and antisocial behavior: 15-year follow-up of a randomized controlled trial. Journal of the American Medical Association. 1998;280(14):1238–1244. doi: 10.1001/jama.280.14.1238. [DOI] [PubMed] [Google Scholar]
- Olds DL, Henderson CR, Jr, Kitzman H. Does prenatal and infancy nurse home visitation have enduring effects on qualities of parental caregiving and child health at 25 to 50 months of life? Pediatrics. 1994;93(1):89–98. [PubMed] [Google Scholar]
- Olds DL, Henderson CR, Tatelbaum R, Chamberlin R. Improving the delivery of prenatal care and outcomes of pregnancy: A randomized trial of nurse home visitation. Pediatrics. 1986;77(1):16–28. [PubMed] [Google Scholar]
- Olds DL, Henderson CR, Tatelbaum R, Chamberlin R. Improving the life-course development of socially disadvantaged mothers: A randomized trial of nurse home visitation. American Journal of Public Health. 1988;78(11):1436–1445. doi: 10.2105/ajph.78.11.1436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Olds DL, Henderson CR, Jr, Kitzman H, Cole R. Effects of prenatal and infancy nurse home visitation on surveillance of child maltreatment. Pediatrics. 1995;95(3):365–372. [PubMed] [Google Scholar]
- Olds DL, Holmberg J, Donelan-McCall N, Luckey D, Knudtson M, Robinson J. Effects of home visits by paraprofessionals and by nurses on children: Follow-up of a randomized trial at ages 6 and 9 years. JAMA Pediatrics. 2014a;168(2):114–121. doi: 10.1001/jamapediatrics.2013.3817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Olds DL, Kitzman H, Cole R, Robinson J, Sidora K, Luckey DW, Henderson CR, Hanks C, Bondy J, Holmberg J. Effects of nurse home visiting on maternal life course and child development: Age 6 follow-up results of a randomized trial. Pediatrics. 2004a;114(6):1550–1559. doi: 10.1542/peds.2004-0962. [DOI] [PubMed] [Google Scholar]
- Olds DL, Kitzman H, Hanks C, Cole R, Anson E, Sidora-Arcoleo K, Luckey DW, Henderson CR, Jr, Holmberg J, Tutt RA, Stevenson AJ, Bondy J. Effects of nurse home visiting on maternal and child functioning: Age-9 follow-up of a randomized trial. Pediatrics. 2007;120(4):e832–845. doi: 10.1542/peds.2006-2111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Olds DL, Kitzman HJ, Cole RE, Hanks CA, Arcoleo KJ, Anson EA, Luckey DW, Knudtson MD, Henderson CR, Jr, Bondy J, Stevenson AJ. Enduring effects of prenatal and infancy home visiting by nurses on maternal life course and government spending: Follow-up of a randomized trial among children at age 12 years. Archives of Pediatric and Adolescent Medicine. 2010;164(5):412–418. doi: 10.1001/archpediatrics.2010.49. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Olds DL, Kitzman H, Knudtson M, Anson E, Smith J, Cole R. Effect of home visiting by nurses on maternal and child mortality: Results of a 2-decade follow-up of a randomized clinical trial. JAMA Pediatrics. 2014b;168(9):800–806. doi: 10.1001/jamapediatrics.2014.472. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Olds DL, Robinson J, O’Brien R, Luckey DW, Pettitt LM, Henderson CR, Ng RN, Korfmacher J, Hiatt S, Talmi A. Home visiting by paraprofessionals and nurses: A randomized, controlled trial. Pediatrics. 2002;110(3):486–496. doi: 10.1542/peds.110.3.486. [DOI] [PubMed] [Google Scholar]
- Olds DL, Robinson J, Pettitt LM, Luckey DW, Holmberg J, Ng RK, Isacks K, Sheff K, Henderson CR. Effects of home visits by paraprofessionals and by nurses: Age 4 follow-up results of a randomized trial. Pediatrics. 2004b;114(6):1560–1568. doi: 10.1542/peds.2004-0961. [DOI] [PubMed] [Google Scholar]
- Olds DL, Robinson J, Pettitt LM, Luckey DW, Holmberg J, Ng RK, Isacks K, Sheff K, Henderson CR. Age 6 test of home visits by nurses vs paraprofessionals Grant # 5 R01 MH062485-03, final report. Denver, CO: University of Colorado; 2005. [Google Scholar]
- Rubin DM, O’Reilly ALR, Luan X, Dai D, Localio AR, Christian CW. Evaluating the Nurse-Family Partnership programs in the Commonwealth of Pennsylvania Executive summary. Philadelphia, PA: The Children’s Hospital of Philadelphia Research Institute; 2009. [Google Scholar]
- Rubin DM, O’Reilly ALR, Luan X, Dai D, Localio AR, Christian CW. Variation in pregnancy outcomes following statewide implementation of a prenatal home visitation program. Archives of Pediatric & Adolescent Medicine. 2011;165(3):198–204. doi: 10.1001/archpediatrics.2010.221. [DOI] [PubMed] [Google Scholar]
- Sandner M. [July 2014];Effects of early childhood intervention on child development and early skill formation: Evidence from a randomized controlled trial. 2013a Discussion paper 518 Retrieved from http://www.econstor.eu/bitstream/10419/92949/1/768255511.pdf.
- Sandner M. Effects of early childhood intervention on maternal employment, fertility and well-being. [July 2014];Evidence from a randomized experiment. 2013b doi: 10.1016/j.jhealeco.2018.11.003. paper 516. Retrieved from http://ideas.repec.org/p/han/dpaper/dp-516.html. [DOI] [PubMed]
- Sedlak AJ, Mettenburg J, Basena M, Petta I, McPherson K, Greene A, Li S. Fourth national incidence study of child abuse and neglect (NIS 4): Report to Congress. Washington, DC: Administration for Children and Families; 2010. [Google Scholar]
- Senter L, Pai N, Miller T. Benefits and costs of nurse-family partnership in New York City over 15 years, city government perspective. New York City: Department of Health and Mental Hygiene; 2010. [Google Scholar]
- Shah PS, Zao J, Ali S. Maternal marital status and birth outcomes: A systematic review and meta-analyses. Maternal and Child Health Journal. 2011;15(7):1097–1109. doi: 10.1007/s10995-010-0654-z. [DOI] [PubMed] [Google Scholar]
- Snyder HN. Arrests in the US 1980-2009 NCJ 234319. Washington, DC: Bureau of Justice Statistics; 2011. [Google Scholar]
- Sonnier SW. Nurse-Family Partnership - Demonstrating results, Prepared for Baptist Community Ministries. New Orleans, LA: Tulane University of Infant and Early Childhood Mental Health; 2007. [Google Scholar]
- University of Illinois at Chicago. Maternal and child health services block grant FFY’11 needs assessment. Springfield, IL: Illinois Department of Human Services, Division of Specialized Care for Children; 2010. [Google Scholar]
- Zielinski DS, Eckenrode J, Olds DL. Nurse home visitation and the prevention of child maltreatment: Impact on the timing of official reports. Development and Psychopathology. 2009;21(2):441–453. doi: 10.1017/S0954579409000248. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.