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Article |

Randomized Controlled Trial of a Prenatal and Postnatal Lactation Consultant Intervention on Infant Health Care Use FREE

Karen A. Bonuck, PhD; Katherine Freeman, DrPH; Michelle Trombley, MPH
[+] Author Affiliations

Author Affiliations: Department of Epidemiology and Population Health, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.


Arch Pediatr Adolesc Med. 2006;160(9):953-960. doi:10.1001/archpedi.160.9.953.
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Published online

Objective  To determine whether infants of women randomized to a prenatal and postpartum lactation support intervention incur fewer otitis media–, respiratory tract–, or gastrointestinal-related visits than controls.

Design  Randomized, unmasked controlled trial recruiting women from prenatal care settings. Breastfeeding sensitive (BFS) illness visits for otitis media or respiratory tract or gastrointestinal complaints were obtained up to 12 months.

Setting  Two urban community health centers.

Participants  Analytic sample of 338 low-income, primarily Hispanic and/or black mother-infant dyads (n = 163 for the intervention group and n = 175 for the control group).

Intervention  Study lactation consultants attempted 2 prenatal meetings, 1 postpartum hospital and/or home visit, and telephone calls as needed. Controls received the standard of care.

Main Outcome Measures  Combined outpatient and emergency department visits with illness and BFS illness diagnoses.

Results  There was a significant interaction between treatment and Medicaid; among those not receiving Medicaid, the number of otitis media visits was higher among controls (P≤.03). Visits for any illness and BFS, gastrointestinal, or respiratory tract illnesses did not differ by treatment group. Intervention group infants received more breast milk than controls, but exclusive breastfeeding rates remained low and did not differ between groups at any point.

Conclusions  Only the number of otitis media visits was reduced, in a subset of the intervention group. The intervention did not reduce visits for respiratory tract or gastrointestinal illness. Limited intervention contact and low exclusive breastfeeding rates may have attenuated intervention effects. Future interventions designed to yield markedly increased breastfeeding rates may show greater effects in low-income multiethnic samples. Health coverage for visits may moderate intervention effects.

Figures in this Article

Overwhelming epidemiological evidence exists that “even in developed countries, breastfeeding protects against gastrointestinal and (to a lesser extent) respiratory tract infection, and that the protective effect is enhanced with greater duration and exclusivity of breastfeeding.”1(p8) In the first year of life, protective effects are reported for otitis media,28 respiratory tract infections,915 and gastrointestinal illnesses.1317 Still, US breastfeeding rates at 6 months (35%) and 12 months (16%)18 do not meet the Healthy People 2010 goals of 50% and 25%, respectively.19 Exclusive breastfeeding rates remain low and stagnant.20

It is infeasible and unethical to perform random assignment of breastfeeding. There are only 4 randomized controlled trials (RCTs) of breastfeeding intervention effects on child morbidity. In a multisite RCT in Belarus, the intervention group had less gastrointestinal infection and atopic eczema but no differences in respiratory tract infection up to 12 months.21 An intensive peer counselor intervention (up to 13 contacts) yielded a reduced incidence of diarrhea, 38% vs 12% in controls.22 A small US-based RCT23 reported that the $301 cost of a postpartum community nurse or peer counselor intervention was partially offset by formula and health care cost savings. In Mexico, infants of mothers who received home peer support for breastfeeding had a lower incidence of diarrhea than controls, 26% vs 12%.14

We conducted an unmasked RCT of a best-practices24 prenatal and postnatal lactation consultant (LC) intervention on infant emergency department (ED) and outpatient site care for up to 12 months. Maternal self-report of health care use for symptoms of otitis media, respiratory tract illness, and gastrointestinal illness and computerized medical center (MC) data for these breastfeeding sensitive (BFS) illnesses were obtained. Weekly breastfeeding outcomes up to 12 months were assessed via a standardized tool that measured 7 levels of breastfeeding.

RECRUITMENT

The Moms into Learning About Kids (MILK) study assessed breastfeeding and infant health care use outcomes up to 12 months. This article reports on infant health care use outcomes. Breastfeeding outcomes and detailed methods are reported elsewhere.25 Briefly, prenatal care patients at 2 Bronx, NY, sites were recruited from August 1, 2000, through November 30, 2002. Eligibility criteria included English or Spanish speaking, twin or singleton pregnancy, and gestation before 24 weeks. Exclusion criteria included medical or obstetric complications for which breastfeeding is contraindicated and long-term use of medications incompatible with breastfeeding.

Eligible, consenting women were randomized by a research assistant. Randomization used an undisclosed blocking factor, stratified by center, with sealed, coded envelopes. All study materials were professionally translated into Spanish. The MC's institutional review board approved the study.

TRIAL ENROLLMENT

As shown in the Figure, 382 women were randomized into the study (188 into the intervention group and 194 into the control group). Of these, 21 were excluded at postnatal follow-up (15 in the intervention group and 6 in the control group). Of the remaining 364 mother-infant dyads, 26 were lost to all follow-up (both self-reported and computerized MC infant health visit data) and are excluded from analysis.

Place holder to copy figure label and caption
Figure.

Trial enrollment and infant health care use outcomes. MC indicates infants with 1 or more encounter identified in the computerized medical center data for any reason, exclusive of predischarge newborn data, up to 12 months of age; OMC, outside medical center data for infant, self-reported by mother during follow-up interviews, up to 12 months of age.

Graphic Jump Location

Of the remaining 338 infants who comprise the analytic sample, 304 mothers had 1 or more follow-up interviews (145 in the intervention group and 159 in the control group) at which time they reported infant ED or outpatient visits to sites outside the MC (OMC) for up to 12 months. We obtained computerized data of ED and outpatient visits to MC-affiliated sites for 289 of the 338 infants (142 in the intervention group and 147 in the control group). Well-child care visits for MC and OMC visits were excluded. Thus, outcome data are available for 93% of eligible mother-infant dyads ([364 − 26]100/364 = 93%).26 Data were not collected for women who were approached but did not enroll.

DATA COLLECTION

A prenatal baseline interview obtained data on demographics and breastfeeding experience and intentions. Postpartum telephone interviews at 1, 2, 3, 4, 6, 8, 10, and 12 months assessed infant feeding and health care use. The 1-month interview collected details about the immediate postpartum experience, whereas subsequent interviews focused on weekly feeding and infant health care use. Participants were compensated.

MASKING

The research assistants were not masked to treatment group. To minimize bias, research assistants were trained in standard procedures for classifying outcomes and completed follow-up with women in both groups. The MC data were extracted from the MC database by an analyst masked to treatment group. The LCs who provided the intervention were not masked to treatment group.

POWER ANALYSIS

The power analysis assumed that infants who are primarily breastfed up to 6 months would incur $901 in health care costs in the first year of life vs $1105 for exclusively bottle-fed children. These data come from 2 samples in which 34% and 14% of infants were primarily breastfed at 3 months.27 Under these assumptions, 138 women per group are needed to detect a difference (α = .05; β = .20; 2-tailed test).

ASSESSMENT OF INFANT HEALTH CARE OUTCOMES
OMC Data

Postnatal follow-up interviews asked women to recall any OMC ED or outpatient visits for symptoms of illness in general and for symptoms of gastrointestinal, respiratory tract, or otitis media conditions in particular. Maternal report of gastrointestinal, respiratory tract, and otitis media symptoms (classified separately from respiratory tract illness by design) was based on definitions used by others.10 The recall period was the time since the last interview or postdischarge from birth if at the first follow-up interview.

MC Data

The MC computerized data identified the date, site, and diagnoses (International Classification of Diseases, Ninth Revision [ICD-9]) of all infant visits to the 2 EDs or 21 health clinics affiliated with the MC, including the 2 recruitment sites.

DESCRIPTION OF THE INTERVENTION

After the baseline interview, the MILK research assistant referred intervention participants to a study LC, who arranged to meet at an upcoming clinic visit or the participant's home. Per protocol, the LC was to meet individually with each intervention participant twice prenatally and attempt 1 postpartum hospital and/or 1 home visit. Prenatal and home visits averaged 60 minutes; hospital visits averaged 90 minutes. The LCs also provided postpartum telephone support as needed for up to 12 months.

One LC, of Dominican descent, was en route to obtaining International Board of Certified Lactation Consultants certification. The other LC, born in Trinidad, was certified at the study's inception. Those LCs who are certified by the International Board of Lactation Consultant Examiners28 are trained in lactation physiology and support and management of breastfeeding. Neither LC had other allied health training.

The initial prenatal meeting provided basic breastfeeding education. The second meeting addressed what to expect in the postpartum period and specifics about initiating breastfeeding in the hospital. During initial hospital and home visits, women were instructed how to avoid common breastfeeding complications. After breastfeeding was established, topics included frequency of feeding, confidence, stooling patterns, determining adequate intake, and maternal nutrition.

Control group women received the health center standard of care and had no contact with the study LCs. One site conducted mandatory prenatal classes, which did not address breastfeeding in detail. The other site had no routine prenatal education. Most (85%) of the sample gave birth at the MC hospital, which was not a designated infant-friendly hospital. The hospital's mother-infant unit nursing staff had received various levels of breastfeeding education.

ASSESSMENT OF BREASTFEEDING

Women reported the intensity of breast vs artificial milk or solid feedings for each week since the prior interview using a standardized schema.29,30 The 7 levels in the schema are mutually exclusive. Exclusive breastfeeding was defined as no artificial milk (ie, formula) or solids. Intake of water, liquids other than artificial milk, and vitamin drops was not assessed. Thus, our definition of exclusive breastfeeding does not conform to the stricter World Health Organization definition.31 The 7 levels in the schema are as follows:

  1. 100% Breast milk

  2. More than 80% breast milk combined with less than 20% artificial milk or solids

  3. More than 50% to 80% breast milk and the rest artificial milk or solids

  4. 50% Breast milk and 50% artificial milk or solids

  5. More than 20% to 50% breast milk and the rest artificial milk or solids

  6. Less than 20% breast milk combined with more than 80% artificial milk or solids

  7. 100% Artificial milk or solids (includes weaned).

SELECTION OF BFS DIAGNOSES

A physician panel reviewed the list of ICD-9 codes found in the MC data (masked to treatment group) and classified those for which breastfeeding might reduce the incidence or severity as otitis media (all BFS illnesses), respiratory tract and BFS illnesses, and gastrointestinal and BFS illnesses. Respiratory BFS diagnoses included viral enteritis not otherwise specified (008.80), unspecified viral infection (079.99), acute pharyngitis (462.00), croup (464.40), acute upper respiratory infections (465.90), acute bronchitis (466.00), nasal and sinus disease not elsewhere classified (478.10), pneumonia organism, unspecified (486.00), bronchitis (490.00), asthma (493.90), cough (786.20), and respiratory syncytial virus (466.11).32 Gastrointestinal BFS diagnoses included esophageal reflux (530.81), gastritis/gastroduodenitis (535.50), noninfectious gastroenteritis not elsewhere classified (558.90), unspecified constipation (564.00), vomiting alone (787.03.91), and reflux esophagitis (530.11).32 Otitis media BFS diagnoses included suppurative otitis media not otherwise specified (382.40) and unspecified otitis media (382.90).32

We did not assess breastfeeding-associated hypernatremia of the infant because proper diagnosis and treatment require hospitalization, which was not an outcome measure.33 Although jaundice rates are higher in breastfed children,34 there was no jaundice reported in the OMC data and just 2 cases (ICD-9 code 774.60), 1 per group, in the MC data.

STATISTICAL ANALYSES

Differences between women randomized into the intervention and control groups, as well as within-treatment group differences between those excluded and the analytic sample, were tested for statistical significance. Descriptive statistics are shown as mean (SD) or number (percentage). Only foreign birth differed between the sites (K. A. B., unpublished data, November 2004) and was thus controlled for in multivariate analyses, which pooled data for the 2 sites. No significant differences were found between the analytic (ie, outcomes) sample and the randomized sample.

Treatment group differences in the proportion of women reporting any breastfeeding (combined levels 1-6), 50% or more breastfeeding (combined levels 1-4), and exclusive breastfeeding (level 1) for postpartum weeks 1 to 52 were tested by the Mantel-Haenszel χ2 or χ2 test.

We computed the rate of all sick care visits and those with BFS illness diagnoses for 52 person-weeks of observation. For the MC data, we assumed a 52-week observation period (ie, no participant missing any computerized MC data). For OMC data, the date of the last interview denoted the end of each infant's observation period. For women missing all OMC data, we imputed OMC data by treatment group. The MC and OMC data were combined. Data for ED and outpatient visits were combined after reviewing ICD-9 diagnosis codes for ED visits, many of which were for nonemergent sick care.

We examined the bivariate associations between visits with any illness, any BFS illness, and specific BFS illness diagnoses (dependent variables) and variables potentially related to these outcomes (independent variables). Maternal variables included age, educational level, marital status, race/ethnicity, country of origin (mainland United States vs other), Medicaid status, other children (ie, siblings), and recruitment site. Infant variables included sex, low birth weight, neonatal intensive care unit admission, newborn health problems (maternal report), day care for infants 1 month or younger, and age at last interview. We did not include maternal smoking as a covariate, given that less than 5% of the sample reported any cigarette use at baseline. Assessment of day care use was restricted to 1 month or less, given varying observation periods after the 1-month follow-up visit.

Variables with bivariate associations yielding P≤.20 were used in initial multiple linear regression models, which also tested for interactions with treatment group. Given the nonnormal distributions of the health care outcomes data, each variable was transformed logarithmically (log[total number of visits + 1]). Independent variables were assessed for significance using a monitored backward stepwise procedure. Using data from all participants regardless of treatment group, covariates and treatment group interactions with associations of P<.05 were retained in the final multivariate models to assess the significance of the intervention. All tests of significance were 2-tailed, with α = .05. Analyses were based on an intent-to-treat model.

BASELINE CHARACTERISTICS

Baseline characteristics for the analytic sample of 338 women are given in Table 1. No significant treatment group differences were found. The sample was primarily Hispanic (56%) and African American (36%) according to participant-reported, investigator-defined options, and 40% were foreign born. Nearly two thirds were multiparous (62%). Combined breast milk and formula was the most common prenatal breastfeeding intention (48%). Detailed data about the birth and immediate postpartum experience, reported elsewhere, did not differ by treatment group, including low birth weight (<2500 g, 8% for sample) and neonatal intensive care unit admissions (13% for sample).25

RETENTION IN AND USE OF INFANT HEALTH CARE BY DATA SOURCE

Table 2 indicates the retention in and use of OMC and MC data by treatment group. The OMC data in Table 2 indicate the proportion of the outcomes sample retained in follow-up through those periods. At follow-up, respondents were asked only about OMC sick care visits, not well-child care. The MC data in Table 2 indicate the proportion of the outcomes samples using the MC for infant care for any reason, exclusive of the birth hospitalization. However, our MC outcomes exclude visits solely for well-child care. We assume that the computerized MC data results in 100% retention for the study period for the outcomes sample.

Table Graphic Jump LocationTable 2. Retention and Use of Infant Health Care by Data Source and Treatment Group*

Both OMC (retention) and MC (use) data were available for more than 80% of the sample through 3 months, declining to just more than 70% at 6 months, approximately 65% at 9 months, and 59% by 12 months. With regard to treatment group, rates for both OMC and MC data appear roughly comparable through the 12 months.

DETECTION OF BIAS IN INFANT HEALTH OUTCOMES DATA

To detect potential surveillance and/or selection biases in the MC and OMC data, we performed a series of treatment group comparisons (data not shown).

Follow-up for OMC Data

We compared baseline characteristics of participants with OMC data at 13, 26, 39, 48, and 52 weeks (ie, retained in follow-up interview) with those without OMC data (ie, lost to follow-up interview) at those weeks, both within and across treatment groups. These baseline characteristics included age, educational level, foreign birth, race/ethnicity, marriage or partner status, Medicaid use, parity, prior breastfeeding experience, and infant feeding intention at baseline. Both attrition rates and characteristics of those retained at quarterly periods were similar for the 2 groups.

Any OMC Data vs Any MC Data

We compared baseline characteristics of participants with any OMC data (n = 304) with those with any MC data (n = 289) by treatment group. No significant differences were detected.

Use of MC as Primary Source of Care

To examine treatment group differences in reliance on the MC as a routine source of infant care, we examined rates of well-child visits (ICD-9 code V-20) up to 12 months. Similar proportions had any MC well-child visits (81% in the intervention group vs 76% of controls), 1 to 2 visits (7% in the intervention group vs 6% of controls), and 3 or more visits (67% in the intervention group vs 70% of controls).

WEEKLY BREASTFEEDING OUTCOMES

Table 3 presents data for any breastfeeding, breastfeeding 50% or more of the time, and exclusive breastfeeding by treatment group for selected weeks for the 304 women with self-reported data (MC data). At 2 weeks, significantly more intervention group women were breastfeeding (87% in the intervention group vs 65% of controls; P≤.001) and giving their infants 50% or more breast milk (66% in the intervention group vs 46% of controls; P≤.001). The intervention group was significantly more likely to breastfeed at each week, up to and including week 20 (53.0% vs 39.3% for controls; P≤.03), except for week 18 (data not shown). Group differences for 50% or more breast milk remained statistically significant for each week, up to and including week 9 (45.8% vs 33.1% for controls; P≤.03; data not shown). There were no differences in exclusive breastfeeding rates at any time, which peaked for both groups at 2 weeks.

Table Graphic Jump LocationTable 3. Any, 50%, and Exclusive Breastfeeding by Selected Weekly Intervals up to 52 Weeks by Treatment Group*
INTERVENTION COMPONENT RECEIVED BY SOURCE OF INFANT HEALTH OUTCOMES DATA

We compared intervention participants with MC data, OMC data, or either data with regard to their receipt of the intervention's various prenatal and postnatal components. As indicated in Table 4, 124 (76%) of the intervention group outcomes sample received any intervention. Ninety-nine (61%) had prenatal intervention, 97 (60%) had postnatal intervention, and 72 (44%) had both prenatal and postnatal intervention. Participants with MC and those with OMC data had similar patterns of receiving the prenatal and postnatal interventions.

Table Graphic Jump LocationTable 4. Intervention by Source of Infant Health Care Use Data*
VISITS WITH BFS ILLNESS DIAGNOSES BY DATA SOURCE: DESCRIPTIVE DATA

Table 5 presents descriptive data by treatment site (ED or outpatient), data source (OMC vs MC), and type of BFS illness (gastrointestinal [>1], respiratory tract including asthma [>2], respiratory tract excluding asthma [>2], and otitis media [>1]). Both treatment groups had similar patterns of OMC and MC visits, suggesting limited surveillance bias.

Table Graphic Jump LocationTable 5. Visits for Breastfeeding Sensitive Diagnoses by Data Source: Descriptive Data*
VISITS WITH ILLNESS AND BFS ILLNESS DIAGNOSES: MULTIVARIATE LINEAR REGRESSION

Table 6 presents the multivariate linear regression analysis of factors associated with any illness and BFS illness diagnosis–related visits. Results are shown for analyses after adjustment for any covariates that were associated with the outcomes at P≤.20 in bivariate analysis. Apart from treatment group, adjusted and unadjusted β coefficients and 95% confidence intervals are given only for variables with adjusted β coefficients (P<.05).

Table Graphic Jump LocationTable 6. Visits With Illness and BFS Illness Diagnoses: Multiple Linear Regression Analysis*

Only otitis media visits were reduced, in a subset of the intervention group. Infants of controls without Medicaid had significantly more (P≤.03) otitis media–related visits (mean [SD] = 0.88 [1.73]; data not shown) than infants of intervention group participants without Medicaid (mean [SD] = 0.36 [0.98]; data not shown) (ie, a Medicaid-by–treatment group interaction). Treatment group was not associated with reduced visits for respiratory tract or gastrointestinal illness. Gastrointestinal illness visits were reduced in infants of multiparous women (multiparous mean [SD] = 0.85 [1.57]; primiparous mean [SD] = 0.71 [3.06]; data not shown). The number of respiratory tract illness visits was greater for boys.

Boys had more visits with illness diagnoses (boys: mean [SD] = 7.77 [8.84]; girls: mean [SD] = 5.27 [5.93]; data not shown) and more visits with any BFS illness diagnoses (boys: mean [SD] = 6.14 [9.68]; girls: mean [SD] = 3.77 [4.83]; data not shown). Medicaid was associated with more BFS illness diagnosis–related visits in the intervention group (mean [SD] = 5.56 [9.13] vs mean [SD] = 3.91 [6.91] for those without Medicaid; data not shown), but there was no such difference among controls (ie, a Medicaid-by–treatment group interaction).

This RCT assessed the effect of a prenatal and postnatal LC intervention on infant respiratory tract–, gastrointestinal-, and otitis media–related outpatient and ED visits up to 12 months. In multivariate analysis, treatment effects for respiratory tract, gastrointestinal, any BFS, and any illness visits were not statistically significant. For otitis media, there was a significant treatment group–by-Medicaid interaction, with reduced visits for the intervention group's non-Medicaid participants relative to its Medicaid participants. Possibly, lack of coverage for health visits in this low-income sample combined with the intervention to reduce the number of otitis media–related visits. Infant visits for otitis media (39% in the intervention group vs 47% of controls) are comparable to national data; 44% of infants 12 months or younger have an episode of otitis media.35 As reported elsewhere, the intervention group had significantly greater breastfeeding intensity in multivariate analysis.25

Boys, who have greater susceptibility to infections,36 had more sick care, combined BFS illness, and respiratory tract illness visits than the sample's girls. Infants of multiparous vs primiparous mothers in our sample had more gastrointestinal illness visits, consistent with other data.12,17 The BFS illness visits were reduced in the intervention group's non-Medicaid participants relative to its Medicaid participants. It is not clear why no such difference was found among controls.

Our finding of only modest effects is undoubtedly related to relatively low LC contact in the intervention group. Analyses were based on intent to treat. The MILK LCs were part-time consultants. Just 44% of the intervention group had both prenatal and postnatal LC contact; 24% had no LC contact at all. Some declined LC assistance when contacted; others were difficult to locate in a timely manner. Immediate postpartum assistance is critical for establishing breastfeeding. This lack of a routine physical presence, and integration with clinic staff in particular, impeded the LCs' ability to contact women. Greater intervention contact would likely have led to greater breastfeeding intensity and reduced infant illness.

In addition, the low rate and lack of group difference in exclusive breastfeeding rates may have blunted the intervention's effect. Power analyses were based on data comparing infants exclusively breastfed for 3 months (34% and 14% in 2 middle-class, primarily non-Hispanic white samples) to never-breastfed infants.27 In sharp contrast, exclusive breastfeeding in the MILK study declined from a high at 2 weeks (20% in the intervention group and 19% in the control group; P≤.80) to half that at 3 months (9% in the intervention group and 11% in the control group; P≤.45).

Findings from our sample (low-income, multiethnic women; 60% multiparous) may have limited generalizability to other groups. Certainly, Medicaid's interaction with treatment group suggests that findings might differ in samples with equal coverage for health visits. Our intervention had a stronger effect on breastfeeding among multiparous women.25 Simultaneously, infants of multiparous women had more gastrointestinal illness visits. Thus, there are likely to be differences by parity in terms of both infant illness and patterns of health care use.

A study strength is the combination of both MC computerized data and self-reported OMC visits. Nationally, the average number of office visits for children at less than 200% of the federal poverty level is 5.08 for children younger than 1 year. Rates for children above the federal poverty level are similar (Suk-fong Tang, PhD, American Academy of Pediatrics, written communication, December 19, 2003). Our sample's mean (SD) number of sick care visits alone (MC and OMC) was 7.04 (7.38), suggesting relatively high ascertainment of infant health outcomes.

In comparison with previous data on breastfeeding interventions and child health, our findings differ with regard to exclusive breastfeeding and health care outcomes. In the large Belarus trial of a hospital-based intervention, intervention site infants vs controls were more likely to be exclusively breastfed at 3 months (43.3% vs 6.4%; P≤.001) and 6 months (7.9% vs 0.6%; P≤.001). The incidence of gastrointestinal illness was reduced, but that of respiratory tract infections and otitis media were not.21 In a Mexican home-based peer counselor trial, rates of exclusive breastfeeding were increased and diarrhea incidence decreased by more than half.14

Our intervention group's increased breastfeeding intensity was apparently sufficient to yield a reduction in otitis media–related visits, at least among participants without Medicaid. We found no treatment group differences in exclusive breastfeeding, which remained low throughout the study. On the basis of these trials, we posit that had there been differences in exclusive breastfeeding rates, gastrointestinal illness–related visits might also have been reduced.

In conclusion, future interventions with low-income, multiethnic women must increase breastfeeding intensity significantly if they are to demonstrably affect infant health. At the same time, intervention levels need to be feasible in practice.37 Clearly, achieving the proposed Healthy People 2010 goal of 60% of women exclusively breastfeeding at 3 months will be challenging.38

Correspondence: Karen A. Bonuck, PhD, Department of Epidemiology and Population Health, Montefiore Medical Center/Albert Einstein College of Medicine, 111 E 210th St, Bronx, NY 10467 (kbonuck@montefiore.org).

Accepted for Publication: April 22, 2006.

Author Contributions:Study concept and design: Bonuck, Freeman, and Trombley. Acquisition of data: Bonuck and Trombley. Analysis and interpretation of data: Freeman. Drafting of the manuscript: Bonuck and Freeman. Critical revision of the manuscript for important intellectual content: Bonuck, Freeman, and Trombley. Statistical analysis: Freeman and Trombley. Obtained funding: Bonuck. Administrative, technical, and material support: Bonuck and Trombley. Study supervision: Bonuck.

Funding/Support: This study was supported by grants from the US Department of Agriculture, the Maternal and Child Health Bureau, and the Agency for Healthcare Quality and Research.

Kramer  MSKakuma  R The Optimal Duration of Exclusive Breastfeeding: A Systematic Review.  Geneva, Switzerland Dept of Nutrition for Health and Development, Dept of Child and Adolescent Health and Development2002;
Aniansson  GAlm  BAndersson  B  et al.  A prospective cohort study on breastfeeding and otitis media in Swedish infants Pediatr Infect Dis J 1994;13183- 188
PubMed Link to Article
Pisacane  AImpagliazzo  NDe Caprio  CCriscuolo  LInglese  APereira de Silva  MC Breastfeeding and tonsillectomy BMJ 1996;312746- 747
PubMed Link to Article
Duncan  BEy  JHolberg  CJWright  ALMartinez  FDTaussig  LM Exclusive breastfeeding for at least 4 months protects against otitis media Pediatrics 1993;91867- 872
PubMed
Knishkowy  BPalti  HAdler  BTepper  D Effect of otitis media on development: a community-based study Early Hum Dev 1991;26101- 111
PubMed Link to Article
Scariati  PDGrummer-Strawn  LMFein  SB A longitudinal analysis of infant morbidity and the extent of breast-feeding in the United States Pediatrics 1997;99e5
PubMed Link to Article
Alho  OPKoivu  MSorri  MRantakallio  P Risk factors for recurrent acute otitis media and respiratory infection in infancy Int J Pediatr Otorhinolaryngol 1990;19151- 161
PubMed Link to Article
Duffy  LCFaden  HWasielewski  RWolf  JKrystofik  D Exclusive breastfeeding protects against bacterial colonization and day care exposure to otitis media Pediatrics 1997;100e7
PubMed Link to Article
Chantry  CJHoward  CRAuinger  P Full breastfeeding duration and associated decrease in respiratory tract infection in US children Pediatrics 2006;117425- 432
PubMed Link to Article
Beaudry  MDufour  RMarcoux  S Relation between infant feeding and infections during the first six months of life J Pediatr 1995;126191- 197
PubMed Link to Article
Pisacane  AGraziano  LZona  G  et al.  Breastfeeding and acute lower respiratory infection Acta Paediatr 1994;83714- 718
PubMed Link to Article
Sinha  AMadden  JRoss-Degnan  D  et al.  Reduced risk of respiratory infections among breastfed girls but not boys Pediatrics 2003;112e303- e307
PubMed Link to Article
Dewey  KGHeinig  MJNommsen-Rivers  LA Differences in morbidity between breast-fed and formula-fed infants J Pediatr 1995;126696- 702
PubMed Link to Article
López-Alarcón  MVillalpandro  SFajardo  A Breast-feeding lowers the frequency and duration of acute respiratory infection and diarrhea in infants under six months of age J Nutr 1997;127436- 443
PubMed
Cushing  AHSamet  JMLambert  WE  et al.  Breastfeeding reduces risk of respiratory illness in infants Am J Epidemiol 1998;147863- 870
PubMed Link to Article
Baker  DTaylor  HHenderson  H Inequality in infant mortality: causes and consequences in England in the 1990s J Epidemiol Community Health 1998;52451- 458
PubMed Link to Article
Raisler  JAlexander  CO’Campo  P Breast-feeding and infant illness: a dose-response relationship? Am J Public Health 1999;8925- 30
PubMed Link to Article
Li  RDarling  NMaurice  EBarker  LGrummer-Strawn  LM Breastfeeding rates in the United States by characteristics of the child, mother, or family: the 2002 National Immunization Survey Pediatrics 2005;115e31- e37
PubMed Link to Article
US Department of Health and Human Services, Healthy People 2010, Volumes I and II.  Washington, DC US Dept of Health and Human Services, Public Health Service, Office of the Assistant Secretary for Health2000;
Ryan  ASWenjun  ZAcosta  A Breastfeeding continues to increase into the new millennium Pediatrics 2002;1101103- 1109
PubMed Link to Article
Kramer  MSChalmers  BHodnett  E  et al.  Promotion of Breastfeeding Intervention Trial (PROBIT): a randomized trial in the Republic of Belarus JAMA 2001;285413- 420
PubMed Link to Article
Anderson  AKDamio  GYoung  SChapman  DJPerez-Escamilla  R A randomized trial assessing the efficacy of peer counseling on exclusive breastfeeding in a predominantly Latina low-income community Arch Pediatr Adolesc Med 2005;159836- 841
PubMed Link to Article
Pugh  LCMilligan  RAFrick  KDSpatz  DBronner  Y Breastfeeding duration, costs, and benefits of a support program for low-income breast-feeding women Birth 2002;2995- 100
PubMed Link to Article
US Preventive Services Task Force, Behavioral Intentions to Promote Breastfeeding: Recommendations and Rationale  July2003;http://www.ahrq.gov/clinic/3rduspstf/brstfeed/brfeedrr.htmAccessed June 5, 2006
Bonuck  KATrombley  MFreeman  KMcKee  D Randomized controlled trial of a pre- and post-natal lactation consultant intervention upon duration and intensity of breastfeeding up to 12 months Pediatrics 2005;1161413- 1426
PubMed Link to Article
American Association for Public Opinion Research, Standard Definitions: Final Dispositions of Case Codes and Outcome Rate for Surveys.  Ann Arbor, Mich American Association for Public Opinion Research2000;
Ball  TMWright  AL Health care costs of formula-feeding in the first year of life Pediatrics 1999;103870- 876
PubMed
International Board of Lactation Consultant Examiners.,http://www.iblce.orgAccessed April 7, 2006
Labbok  MKrasovec  K Toward consistency in breastfeeding definition Stud Fam Plann 1990;21226- 230
PubMed Link to Article
Labbok  MHCoffin  CJ A call for consistency in definition of breastfeeding behaviors Soc Sci Med 1997;441931- 1932
PubMed Link to Article
World Health Organization, Indicators for Assessing Breast-feeding Practices.  Geneva, Switzerland World Health Organization1991;
Wikipedia, List of ICD-9 codes http://en.wikipedia.org/wiki/List_of_ICD-9_codesAccessed June 9, 2006
Moritz  MLManole  MDBogen  DLAyus  JC Breastfeeding-associated hypernatremia: are we missing the diagnosis? Pediatrics 2005;116e343- e347
PubMed Link to Article
Gourley  GRLi  ZKreamer  BLKosorok  MR A controlled, randomized double-blind trial of prophylaxis against jaundice among breastfed newborns Pediatrics 2005;116385- 391
PubMed Link to Article
Auinger  PLamphear  BPKalwarf  HJMansour  ME Trends in otitis media among children in the United States Pediatrics 2003;112514- 520
PubMed Link to Article
Green  MS The male predominance in the incidence of infectious diseases in children: a postulated explanation for disparities in the literature Int J Epidemiol 1992;21381- 386published correction appears in Int J Epidemiol1992;21- 1199
PubMed Link to Article
Bonuck  KA Increased exclusive breastfeeding rates fall short of proposed Healthy People 2010 goals Arch Pediatr Adolesc Med 2006;160324
Link to Article
Department of Health and Human Services, Healthy People 2010 Midcourse Review: Revised Objectives for 16-19: Breastfeeding http://www.healthypeople.gov/data/midcourse/comments/faobjective.asp?id=16&subid=19Accessed October 7, 2005

Figures

Place holder to copy figure label and caption
Figure.

Trial enrollment and infant health care use outcomes. MC indicates infants with 1 or more encounter identified in the computerized medical center data for any reason, exclusive of predischarge newborn data, up to 12 months of age; OMC, outside medical center data for infant, self-reported by mother during follow-up interviews, up to 12 months of age.

Graphic Jump Location

Tables

Table Graphic Jump LocationTable 2. Retention and Use of Infant Health Care by Data Source and Treatment Group*
Table Graphic Jump LocationTable 3. Any, 50%, and Exclusive Breastfeeding by Selected Weekly Intervals up to 52 Weeks by Treatment Group*
Table Graphic Jump LocationTable 4. Intervention by Source of Infant Health Care Use Data*
Table Graphic Jump LocationTable 5. Visits for Breastfeeding Sensitive Diagnoses by Data Source: Descriptive Data*
Table Graphic Jump LocationTable 6. Visits With Illness and BFS Illness Diagnoses: Multiple Linear Regression Analysis*

References

Kramer  MSKakuma  R The Optimal Duration of Exclusive Breastfeeding: A Systematic Review.  Geneva, Switzerland Dept of Nutrition for Health and Development, Dept of Child and Adolescent Health and Development2002;
Aniansson  GAlm  BAndersson  B  et al.  A prospective cohort study on breastfeeding and otitis media in Swedish infants Pediatr Infect Dis J 1994;13183- 188
PubMed Link to Article
Pisacane  AImpagliazzo  NDe Caprio  CCriscuolo  LInglese  APereira de Silva  MC Breastfeeding and tonsillectomy BMJ 1996;312746- 747
PubMed Link to Article
Duncan  BEy  JHolberg  CJWright  ALMartinez  FDTaussig  LM Exclusive breastfeeding for at least 4 months protects against otitis media Pediatrics 1993;91867- 872
PubMed
Knishkowy  BPalti  HAdler  BTepper  D Effect of otitis media on development: a community-based study Early Hum Dev 1991;26101- 111
PubMed Link to Article
Scariati  PDGrummer-Strawn  LMFein  SB A longitudinal analysis of infant morbidity and the extent of breast-feeding in the United States Pediatrics 1997;99e5
PubMed Link to Article
Alho  OPKoivu  MSorri  MRantakallio  P Risk factors for recurrent acute otitis media and respiratory infection in infancy Int J Pediatr Otorhinolaryngol 1990;19151- 161
PubMed Link to Article
Duffy  LCFaden  HWasielewski  RWolf  JKrystofik  D Exclusive breastfeeding protects against bacterial colonization and day care exposure to otitis media Pediatrics 1997;100e7
PubMed Link to Article
Chantry  CJHoward  CRAuinger  P Full breastfeeding duration and associated decrease in respiratory tract infection in US children Pediatrics 2006;117425- 432
PubMed Link to Article
Beaudry  MDufour  RMarcoux  S Relation between infant feeding and infections during the first six months of life J Pediatr 1995;126191- 197
PubMed Link to Article
Pisacane  AGraziano  LZona  G  et al.  Breastfeeding and acute lower respiratory infection Acta Paediatr 1994;83714- 718
PubMed Link to Article
Sinha  AMadden  JRoss-Degnan  D  et al.  Reduced risk of respiratory infections among breastfed girls but not boys Pediatrics 2003;112e303- e307
PubMed Link to Article
Dewey  KGHeinig  MJNommsen-Rivers  LA Differences in morbidity between breast-fed and formula-fed infants J Pediatr 1995;126696- 702
PubMed Link to Article
López-Alarcón  MVillalpandro  SFajardo  A Breast-feeding lowers the frequency and duration of acute respiratory infection and diarrhea in infants under six months of age J Nutr 1997;127436- 443
PubMed
Cushing  AHSamet  JMLambert  WE  et al.  Breastfeeding reduces risk of respiratory illness in infants Am J Epidemiol 1998;147863- 870
PubMed Link to Article
Baker  DTaylor  HHenderson  H Inequality in infant mortality: causes and consequences in England in the 1990s J Epidemiol Community Health 1998;52451- 458
PubMed Link to Article
Raisler  JAlexander  CO’Campo  P Breast-feeding and infant illness: a dose-response relationship? Am J Public Health 1999;8925- 30
PubMed Link to Article
Li  RDarling  NMaurice  EBarker  LGrummer-Strawn  LM Breastfeeding rates in the United States by characteristics of the child, mother, or family: the 2002 National Immunization Survey Pediatrics 2005;115e31- e37
PubMed Link to Article
US Department of Health and Human Services, Healthy People 2010, Volumes I and II.  Washington, DC US Dept of Health and Human Services, Public Health Service, Office of the Assistant Secretary for Health2000;
Ryan  ASWenjun  ZAcosta  A Breastfeeding continues to increase into the new millennium Pediatrics 2002;1101103- 1109
PubMed Link to Article
Kramer  MSChalmers  BHodnett  E  et al.  Promotion of Breastfeeding Intervention Trial (PROBIT): a randomized trial in the Republic of Belarus JAMA 2001;285413- 420
PubMed Link to Article
Anderson  AKDamio  GYoung  SChapman  DJPerez-Escamilla  R A randomized trial assessing the efficacy of peer counseling on exclusive breastfeeding in a predominantly Latina low-income community Arch Pediatr Adolesc Med 2005;159836- 841
PubMed Link to Article
Pugh  LCMilligan  RAFrick  KDSpatz  DBronner  Y Breastfeeding duration, costs, and benefits of a support program for low-income breast-feeding women Birth 2002;2995- 100
PubMed Link to Article
US Preventive Services Task Force, Behavioral Intentions to Promote Breastfeeding: Recommendations and Rationale  July2003;http://www.ahrq.gov/clinic/3rduspstf/brstfeed/brfeedrr.htmAccessed June 5, 2006
Bonuck  KATrombley  MFreeman  KMcKee  D Randomized controlled trial of a pre- and post-natal lactation consultant intervention upon duration and intensity of breastfeeding up to 12 months Pediatrics 2005;1161413- 1426
PubMed Link to Article
American Association for Public Opinion Research, Standard Definitions: Final Dispositions of Case Codes and Outcome Rate for Surveys.  Ann Arbor, Mich American Association for Public Opinion Research2000;
Ball  TMWright  AL Health care costs of formula-feeding in the first year of life Pediatrics 1999;103870- 876
PubMed
International Board of Lactation Consultant Examiners.,http://www.iblce.orgAccessed April 7, 2006
Labbok  MKrasovec  K Toward consistency in breastfeeding definition Stud Fam Plann 1990;21226- 230
PubMed Link to Article
Labbok  MHCoffin  CJ A call for consistency in definition of breastfeeding behaviors Soc Sci Med 1997;441931- 1932
PubMed Link to Article
World Health Organization, Indicators for Assessing Breast-feeding Practices.  Geneva, Switzerland World Health Organization1991;
Wikipedia, List of ICD-9 codes http://en.wikipedia.org/wiki/List_of_ICD-9_codesAccessed June 9, 2006
Moritz  MLManole  MDBogen  DLAyus  JC Breastfeeding-associated hypernatremia: are we missing the diagnosis? Pediatrics 2005;116e343- e347
PubMed Link to Article
Gourley  GRLi  ZKreamer  BLKosorok  MR A controlled, randomized double-blind trial of prophylaxis against jaundice among breastfed newborns Pediatrics 2005;116385- 391
PubMed Link to Article
Auinger  PLamphear  BPKalwarf  HJMansour  ME Trends in otitis media among children in the United States Pediatrics 2003;112514- 520
PubMed Link to Article
Green  MS The male predominance in the incidence of infectious diseases in children: a postulated explanation for disparities in the literature Int J Epidemiol 1992;21381- 386published correction appears in Int J Epidemiol1992;21- 1199
PubMed Link to Article
Bonuck  KA Increased exclusive breastfeeding rates fall short of proposed Healthy People 2010 goals Arch Pediatr Adolesc Med 2006;160324
Link to Article
Department of Health and Human Services, Healthy People 2010 Midcourse Review: Revised Objectives for 16-19: Breastfeeding http://www.healthypeople.gov/data/midcourse/comments/faobjective.asp?id=16&subid=19Accessed October 7, 2005

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