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BRIEF RESEARCH REPORT article

Front. Nutr., 17 November 2025

Sec. Clinical Nutrition

Volume 12 - 2025 | https://doi.org/10.3389/fnut.2025.1632931

This article is part of the Research TopicInnovative Approaches to Nutrition Counseling in Pediatric Dietetics - Guidelines, Practices, and Future DirectionsView all 12 articles

Higher quality nutrition care process documentation predicts nutrition diagnosis improvement in the Academy of Nutrition and Dietetics breastfeeding registry study

  • 1Department of Allied Health Sciences, College of Science and Technology, Nicholls State University, Thibodaux, LA, United States
  • 2Data Science Center, Research, International, and Scientific Affairs (RISA), Academy of Nutrition and Dietetics, Chicago, IL, United States
  • 3College of Public Health, University of South Florida, Tampa, FL, United States
  • 4Department of Nutrition and Dietetics, Brooks College of Health, University of North Florida, Jacksonville, FL, United States
  • 5Department of Public Health, University of North Florida, Jacksonville, FL, United States
  • 6Center for Aging Research, Brooks College of Health, University of North Florida, Jacksonville, FL, United States

Introduction: Registered dietitian nutritionists (RDNs) provide medical nutrition therapy (MNT) to improve public health outcomes, yet RDNs impact on breastfeeding outcomes remains underexplored. The Breastfeeding Registry Study addresses this gap by examining MNT provided to breastfeeding infants. This study describes Nutrition Care Process (NCP) documentation patterns, evaluates documentation quality, and reports nutrition diagnosis improvement, goal attainment, and outcomes predictors.

Methods: This prospective, observational study included documentation from breastfeeding infants (n = 92) from July 2020 to June 2024 using the Academy of Nutrition and Dietetics Health Informatics Infrastructure. The primary outcome was breastfeeding duration. Frequencies of documented NCP terminology, impactful care plans, and nutrition diagnosis improvement were assessed. Documentation quality was evaluated using the NCP Quality Evaluation and Standardization Tool (NCP-QUEST). Mixed-effects logistic regression was used to identify predictors of improved outcomes.

Results: Duration of any breastfeeding averaged 34.2 ± 7.5 (mean ± SD) days (n = 10), although documentation of this indicator was poor. The most frequent etiology was breastfeeding difficulty (18%). Common intervention categories were Food and/or Nutrient Delivery (46%) and Coordination of Nutrition Care (43%). At reassessment, 68% of diagnoses improved, with the highest rates for breastfeeding difficulty (55%), predicted breastfeeding difficulty (83%), inadequate vitamin D intake (83%), and underweight (83%). NCP-QUEST score (OR = 1.58, 95% CI [1.02, 2.45] p = 0.042) and frequency of registered dietitian visits (OR = 1.77, 95% CI [0.34, 0.9.33] p = 0.049) predicted diagnosis improvement.

Discussion: Higher-quality documentation and more RDN visits were associated with improvements in breastfeeding infants' nutrition diagnoses. This is the first known study to describe comprehensive care plans delivered by RDNs that improved prevalent lactation-related nutrition problems and to propose standards for documenting breastfeeding care data in alignment with global breastfeeding standards.

1 Introduction

National and global health authorities recommend breastfeeding as the cornerstone of early life nutrition (14). The World Health Organization (WHO) and the United Nations Children's Fund (UNICEF) recommend exclusive breastfeeding for the first six months of life, followed by continued breastfeeding alongside complementary foods for up to 2 years and beyond (5). Registered dietitian nutritionists (RDNs) provide medical nutrition therapy (MNT) across various practice settings to support breastfeeding (610). Their education and training prepare them to address common breastfeeding challenges (7, 911), including latching difficulties, sore nipples, insufficient milk supply, and breast engorgement, which frequently disrupt exclusive breastfeeding and contribute to public health burden (5, 1113). RDN care may include individualized education and breastfeeding plans, and coordination of lactation strategies such as donor human milk use (10), which can reduce healthcare costs and complications like necrotizing enterocolitis (14). Despite this critical role, few studies have evaluated the impact of RDN-delivered MNT on breastfeeding outcomes aligned with WHO/UNICEF breastfeeding standards (5), leaving their contributions in this area of public health underexplored.

RDNs use the Nutrition Care Process (NCP) Model (15), which consists of the nutrition assessment/reassessment, diagnosis, intervention, and monitoring and evaluation steps. As nutrition care is documented using the standardized NCP Terminology (NCPT) (15), five NCP chain links may be formed, making connections between the evidence, diagnosis, etiology, goals, and outcomes, which reflect critical thinking across the continuum of care (16). The Academy of Nutrition and Dietetics (Academy) Health Informatics Infrastructure (ANDHII) (17) is a secure, web-based platform for documenting nutrition care and conducting nutrition and dietetics registry studies (18). Registry studies explore practice patterns, outcomes, and quality of care, supporting the Academy's efforts in performing practice-based NCP research (18). Emerging evidence indicates that higher quality NCP documentation predicts greater nutrition diagnosis improvement in adult populations. This suggests a connection between high-quality documentation and improved outcomes (19, 20). While prior analyses of NCP documentation have assessed outcomes including diagnosis resolution, goal progress, and health indicators across diverse practice areas, none have included lactation nutrition (1928).

Quantifying RDN impact is critical, and the effect of MNT on breastfeeding-related outcomes remains unclear. To address this gap, the Breastfeeding Registry (BFR) Study aimed to: (1) identify the most frequently documented NCPT; (2) assess NCP documentation quality; and (3) report on nutrition diagnosis improvement and resolution, goal attainment rates, related health outcomes, and potential predictors.

2 Methods

This prospective, observational registry study was conducted from July 2020 to June 2024. Collaborating site enrollment occurred on a rolling basis. The primary outcome was breastfeeding duration, based on research conducted by Kair et al. (29). The protocol for this pilot study, based on prior ANDHII registry studies (19, 20), is detailed elsewhere. The present article presents results from the BFR.

The study was approved with exempt status by the University of North Florida (UNF) Institutional Review Board (IRB) (#1594452-2). Collaborating sites followed the approved protocol, and all BFR data in ANDHII were de-identified, per the Office for Human Research Protections Guidance on Research Involving Coded Private Information or Specimens Guidelines (30). An expert advisory group, composed of unpaid volunteers, supported study design and recruitment. Funding was provided through an Academy of Nutrition and Dietetics Foundation grant, awarded by the Women's Health and Pediatric Nutrition Dietetics Practice Groups. This article follows RECORD (31) guidelines for observational studies reporting routinely collected health data.

2.1 Collaborating sites and training

A convenient sample of twelve collaborating sites (14 RDNs) was included in the study (Figure 1); however, 4 sites (5 RDNs) withdrew due to time constraints, lack of response, or staff turnover. This analysis includes 92 infants from 8 sites (9 RDNs) in 6 U.S. states.

Figure 1
Flowchart depicting the recruitment and documentation process for Registered Dietitian Nutritionists (RDNs). Fifteen RDNs were recruited across twelve sites. Fourteen were fully onboarded. Nine RDNs documented encounters in ANDHII across eight sites, resulting in 275 encounters: 197 for infants and 78 for parents. Five RDNs did not document encounters across four sites.

Figure 1. Flowchart of collaborating sites participation in the Breastfeeding Registry (BFR) Study from July 2020 to June 2024.

During orientation, RDNs completed a 5-h asynchronous training covering the study protocol, data collection procedures, the NCP and Terminology (NCP/T) (15), and ANDHII (17). The training served to establish baseline documentation skills. A score of 80% on a post-training knowledge assessment was required to earn continuing education credit and approval to commence data collection.

2.2 Inclusion and exclusion criteria

RDNs were required to: (1) hold state licensure to provide MNT, where applicable, (2) provide nutrition care to breastfeeding infants in their typical work environment, and (3) adhere to training and study protocols. Exclusion criteria included: (1) lack of RDN credentialing from the Commission on Dietetic Registration; (2) lack of required state licensure (where applicable); or (3) unwillingness/inability to document care in ANDHII.

2.3 Data collection and management

RDNs completed informed consent via Qualtrics and answered questions describing their education, clinical experience, training, and worksite characteristics. The survey generated a unique RDN code to link responses to ANDHII notes and enable matching of survey data on RDN and site characteristics to nutrition care outcomes. The code was included in the raw dataset and used only by the data analyst, who remained blinded to RDN identities. While providing care, RDNs remotely accessed ANDHII to document encounters. ANDHII guides NCPT documentation throughout the NCP steps (15). A selection of NCPT autopopulated in the nutrition assessment section to provide suggested documentation, but RDNs were encouraged to use any NCPT term they deemed appropriate. Autopopulated NCPT were determined by the expert advisory group. Each RDN documented at least one initial and one reassessment encounter for ten infants.

De-identified nutrition care data were exported from ANDHII as a raw data set and matched using system-generated codes. Raw data were used to describe breastfeeding duration and NCP outcomes, including NCPT documentation frequency, nutrition diagnosis improvement and resolution, nutrition goal attainment, impactful care plans (ICPs), and documentation quality. First presented by Long et al. (32) ICPs represent nutrition care patterns linked to the highest diagnosis improvement and resolution rates. Documentation quality was assessed using the validated Nutrition Care Process-Quality Evaluation and Standardization Tool (NCP-QUEST) (33), which scores 24 indicators (including the five NCP chain links) as 0 (not met) or 1 (met). Cumulative scores indicate documentation quality. Encounters with reassessments were rated as: Level A, High Quality (19-24 points), Level B, Medium Quality (13-18 points), and Level C, Low Quality (< 12 points).

2.4 Power calculation and sample size

Based on research by Kair et al. (29) a sample size of 60 infants was selected for feasibility of enrollment and 80% power (α = 0.05) for the primary outcome of breastfeeding duration. Clinical experience supported the feasibility of six RDNs documenting the care of at least ten infants.

2.5 Statistical analysis

Descriptive statistics are reported as frequencies (percentages) for categorical variables and means ± standard deviation for continuous and discrete variables; medians (IQR) were used for non-normally distributed data. These statistics were used to summarize the most frequently documented NCPT terms, quality of NCP documentation, nutrition diagnosis improvement and resolution, and goal attainment rates. Breastfeeding duration was defined as the total number of days between the documented NCPT breastfeeding start (date) and breastfeeding stop (date). Diagnosis improvement and resolution rate was determined using diagnosis status labels documented at reassessment: active-improving, active-unresolved, resolved, and discontinued. NCPT terms for diagnoses with the highest improvement rates were used to identify ICPs. Goal attainment was assessed using documentation at reassessment: met or unmet.

Nonparametric tests were used to examine associations between sociodemographic, nutrition care, and NCP data. Mann-Whitney U tests were applied for continuous variables and chi-square tests were performed for categorical variables. Nutrition diagnosis improvement and resolution was coded binarily with active-improving or resolved diagnoses identified as “improved” and active-not improved, unresolved, and discontinued identified as “not improved.” Mixed-effects logistic regression was used to examine factors associated with nutrition diagnosis improvement and resolution. Planned analysis of the factors associated with nutrition goal attainment and breastfeeding duration were not possible due to insufficient documentation. Fixed effects, based on Colin et al. (19) and Lewis et al. (20) included NCP-QUEST score, diagnosis improvement, goal attainment, number of RDN visits, and presence of NCP chain link documentation. Random effects included RDN site type, education level, and lactation certification, as well as infant sex and birthweight.

For descriptive and chi-square analyses, missing data were included as “not documented” and retained for analysis to reflect clinical documentation patterns. For regression analyses, cases with missing data were excluded listwise. Records without a documented reassessment were excluded, as a lack of complete data results in the inability to estimate model parameters, reducing statistical power and introducing bias. Furthermore, this project did not aim to examine the lack of documentation. Analyses were conducted using IBM SPSS Statistics (Version 28.0.1.0) (34) and Stata 17MB (35). Statistical significance was defined as p < 0.05.

3 Results

3.1 Collaborating site and RDN characteristics

RDN and collaborating site characteristics are described in Supplementary Table 1. RDNs worked in community/public health clinics (78%; n = 7) or neonatal intensive care units (NICUs) (22%; n = 2). Most held a bachelor's degree (90%; n = 8) and a lactation credential (67%; n = 6). Among those with lactation credentials, the majority (67%; n = 4) reported having a CLC or CLE certification. The median (IQR) years of practice experience was 2 (0.5, 7) years and median (IQR) experience in the current position was 2 (0.5, 15 years). The median (IQR) number of RDNs employed at collaborating sites was 3 (1, 28), with 1 (0, 30) holding an advanced degree and 1 (0, 4) maintaining lactation credentials. Most (90%; n = 8) had not received training for ANDHII before the study, while the majority (78%; n = 7) had NCPT training. The NCPT was utilized at 67% of collaborating sites (n = 6).

3.2 Infant characteristics

The BFR dataset included nutrition care encounter data for 92 infants, of whom 71 had at least one documented reassessment encounter and nutrition diagnosis (Supplementary Figure 1). Most documented encounters were initial encounters (47%) and a first reassessment encounter (36%), however, RDNs documented up to seven reassessments for a single infant.

Infant sociodemographic and clinical characteristics are summarized in Table 1. Most infants were described as white (40%), male (41%), and non-Hispanic/Latino (46%). At baseline, the median age was 10 (6–20.5) days, increasing to 34.5 (27.5–60) days at reassessment. The average birth length was 46.3 ± 6.6 centimeters, and the average birthweight was 2,661.2 ± 1,030.6 grams. Infant weight showed a nonsignificant increase from initial (3,134.0 g ± 1,354.3 g) to reassessment (3,202.0 g ± 1,787.8 g) encounters (p = 0.203). A single NICU RDN was responsible for 25% of BFR data and over one-third of infants were hospitalized in the ICU.

Table 1
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Table 1. Characteristics of nutrition care process data documented by registered dietitian nutritionists (RDNs) in the Breastfeeding Registry Study and the relationship between documented NCP Data and nutrition diagnosis status.

3.3 Breastfeeding duration

Breastfeeding (partial, predominant, exclusive), daily breastmilk feeding attempts, use of donor milk, and breastfeeding start/stop dates were inconsistently documented. Start/stop breastfeeding NCPT was documented for 10 (14%) infants. For these 10 infants, the average breastfeeding duration was 34.2 ± 7.5 days, slightly exceeding the average care duration in the BFR, 25.8 ± 32.2 days. Although the duration of breastfeeding was the primary outcome of this project, limited documentation by RDNs prevented further exploration of this variable. Most infants were breastfeeding at baseline (88%) and reassessment (75%) (Table 1). More infants with improved nutrition diagnoses were breastfeeding at the initial encounter (96%) compared to those without diagnosis improvement (73%; p = 0.021). Donor milk intake increased between initial (15%) and reassessment (23%) encounters.

3.4 NCP outcomes

Over 3,000 NCPT terms were documented by RDNs. The five most frequently documented terms for each NCP step are detailed in Supplementary Table 2. Excluding demographic and anthropometric data, the most frequently documented nutrition assessment terms were mother's expressed breastmilk intake (8%) and exclusive breastfeeding (6.5%). Breastfeeding difficulty was the most frequent problem (31% of problem terms) and etiology (18% of etiology terms). The most frequently documented signs and symptoms term was energy estimated intake from oral nutrition in 24 h (17% of signs and symptoms terms). The most frequent nutrition intervention was modify breastfeeding attempts (14% of nutrition intervention terms). The leading monitoring and evaluation term was breastmilk feeding attempts in 24 h (14% of monitoring and evaluation terms).

Approximately 68% of nutrition diagnoses were active-improving or resolved at reassessment. Infants without improvement in nutrition diagnosis were significantly younger (31.3 days) compared to those with improved nutrition diagnoses (56.7 days; p = 0.023) (Table 1). The group with unimproved nutrition diagnoses had a significantly higher proportion of male infants (68.2% vs. 27.7%, p = 0.004) and lower average birthweight (2768.5 g vs. 3308.9 g, p < 0.001). The most frequently improved or resolved diagnoses were breastfeeding difficulty (54.6%), predicted breastfeeding difficulty (83.4%), inadequate vitamin D intake (83.4%), and underweight (83.4%). ICPs were identified to illustrate complete NCP cycles and the respective NCPT that lead to measurable diagnosis improvement (Figure 2). Encounters with breastfeeding difficulty and predicted breastfeeding difficulty were combined in a single ICP due to documentation similarities. Approximately 26% of encounters included documentation of nutrition goals; of these, 33% included goal status at reassessment, with 67% indicating progress toward the goal (Table 1).

Figure 2
Flowchart illustrating the infant nutrition problem of inadequate vitamin D intake. It shows 83.4% improvement or resolution. Common etiology terms include knowledge deficit (75%). Common signs or symptoms are vitamin D needs (45.8%) and estimated intake (33.3%). The most common intervention and monitoring terms focus on nutrition education and vitamin D needs. Flowchart depicting infant nutrition problems, focusing on “underweight” with six occurrences. The most common etiology category is “knowledge” at 35.3%. Etiology terms include inadequate energy intake (35.3%) and predicted inadequate intake (23.5%). Signs include weight loss (19%) and inadequate breastmilk intake (14.3%). Monitoring terms are breastmilk intake and weight-for-length percentile, each at 17.6%. The main intervention is “food/nutrient delivery” (41.7%), with referrals to community programs at 25%. Overall, 83% of cases improved or resolved. Flowchart illustrating the problem of infant nutrition related to breastfeeding difficulty in seventy-four cases. It details common etiology, signs, symptoms, monitoring terms, intervention categories, and outcomes. Breastfeeding difficulty shows fifty-five percent improved or resolved, while predicted difficulty shows eighty-three percent improvement. Key terms include physical function, breastmilk feeding attempts, and food delivery interventions, emphasizing breastfeeding attempts and referrals as monitoring and intervention strategies.

Figure 2. Impactful Care Plans for the nutrition diagnoses with the highest rate of resolution in the Breastfeeding Registry Study: Breastfeeding Difficulty/Predicted Breastfeeding Difficulty (A); Underweight (B); Inadequate Vitamin D Intake (C).

Among infants with at least one reassessment (n = 69), the average NCP-QUEST score was 13.4 (Level B, medium quality) (Table 1). No significant differences in audit scores were observed between encounters with improved vs. unimproved diagnoses; however, NCP-QUEST rating categories differed significantly by diagnosis status (p = 0.017). Supplementary Figure 2 details the distribution of the 24 NCP-QUEST indicators. Diagnosis-outcomes link documentation was present in all encounters. Most included diagnosis-etiology (73%) and etiology-intervention (75%) links, while documentation of evidence-diagnosis (37%) and intervention-goal (29%) links were limited. Evidence-diagnosis link documentation was significantly more common for improved or resolved diagnoses (p = 0.022). Only 7% of encounters included all five NCP chain links.

A mixed-effects logistic regression model examined factors associated with nutrition diagnosis improvement and resolution (Table 2). The first nutrition diagnosis recorded for infants with a reassessment encounter was included, resulting in 60 encounters documented by 9 RDNs. The intervention-goal link and breastfeeding duration were excluded due to insufficient data, and the diagnosis-outcome link was excluded due to lack of variability. Each 1-point increase in the NCP-QUEST score was associated with a 58% increase in the odds of diagnosis improvement (OR = 1.57, 95% CI [1.02, 2.45], p = 0.042). Each additional RDN visit was associated with a 77% increase in the odds of diagnosis improvement (OR = 1.77, 95% CI [0.34, 9.33, p = 0.049). A master's degree was associated with lower odds of diagnosis improvement (OR = 0.004, 95% CI [0.00, 0.54], p = 0.03), although a single RDN within the BFR held a master's degree. Higher birthweight was also linked to reduced odds of diagnosis resolution (OR = 0.998, 95% CI [0.0996–0.9997], p = 0.024. While statistically significant, these associations should be interpreted with caution, as they likely reflect model instability, driven by the small sample size, and differences in infant acuity. Model fit was modest (AIC = 55.34, BIC = 72.8) with a non-significant Wald chi-square test [X(7)2 = 9.67, p = 0.3782] suggesting other unexamined variables may influence nutrition diagnosis improvement and resolution.

Table 2
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Table 2. Factors associated with nutrition diagnosis improvement in the breastfeeding registry study.

4 Discussion

The aims of this study were to: (1) identify the most frequently documented NCPT; (2) evaluate the quality of NCP documentation; and (3) examine nutrition diagnosis improvement and resolution, goal attainment rates, related health outcomes, and potential predictors. Findings indicated that the care provided to breastfeeding infants by RDNs in the BFR effectively improved infants' nutrition diagnoses. Greater odds of nutrition diagnosis improvement and resolution were observed with increasing NCP-QUEST scores and additional RDN visits. The nutrition problems with the highest rate of improvement and resolution were breastfeeding/predicted breastfeeding difficulty, underweight, and inadequate vitamin D intake. These prevalent nutrition diagnoses align with common barriers to the initiation and continuation of breastfeeding reported in the literature (1113).

4.1 Breastfeeding outcomes

The primary outcome was breastfeeding duration; however, limited documentation of breastfeeding data in the BFR hindered the planned full examination, its associated factors, and RDNs' impact on breastfeeding outcomes. Establishing standardized variables for documenting infant feeding practices aligned with WHO/UNICEF (5) standards, such as initiation date, exclusivity, and cessation date, would improve data tracking and support exclusive breastfeeding promotion efforts within pediatric primary care (36).

A 2021 study reported that a sample of U.S. infants were breastfed for an average of 6.9 months (37). Observed breastfeeding duration in the BFR falls short of these findings and global breastfeeding standards, exclusive breastfeeding for 6 months with continued breastfeeding through two years and beyond (5). Shorter exclusive breastfeeding duration carries important public health implications, including increased risk of infant illness and chronic disease among infants and parents (1, 5, 38). To minimize RDN burden, the BFR study required documentation of only an initial visit and one follow-up, which may have limited the completeness of breastfeeding data documentation. Future studies should therefore expand follow-up documentation requirements and lengthen study duration to strengthen findings.

Most infants (88%; n = 61) were breastfeeding in some capacity at initial and reassessment encounters, on par with the U.S. average of infants who are ever breastfed (Table 1) (39). Breastfeeding rates at the initial assessment were significantly higher among infants with improved nutrition diagnoses (96%; n = 45) compared to infants without diagnosis improvement and resolution (73%; n = 16; p = 0.021), suggesting that early breastfeeding may have contributed to better nutrition outcomes in the BFR. This aligns with existing literature on the health benefits of early human milk feeding (1, 5, 38). Although donor milk intake increased between initial and reassessment encounters, it remains unclear whether BFR RDNs played a direct role in recommending or facilitating access to donor milk. To draw such conclusions, more detailed documentation of nutrition care, such as nutrition interventions and goals related to the use of donor milk, is necessary. While there is limited evidence regarding the number of U.S. infants utilizing donor milk, an increase in donor human milk use in clinical settings has been reported within the last decade (40, 41). Current WHO/UNICEF recommendations for infant feeding place direct breastfeeding as the first priority, followed by feeding with the mother's expressed breastmilk. When these options are not possible, donor milk, wet nursing, or relactation may be considered, based on the family's preferences, cultural norms, and the safety of providing human milk in the context of transmissible conditions, such as human immunodeficiency virus (HIV) and coronavirus disease (COVID). Importantly, WHO/UNICEF advise that all these options be explored before turning to human milk substitutes (infant formula) (5, 42).

4.2 Predictors of diagnosis improvement and resolution

Infants whose nutrition diagnoses did not improve had significantly lower average birthweight and were more often male (Table 1). The association with sex likely reflects the small sample size, while the proportion of low birthweight infants with unimproved diagnoses aligns with known complications of low birthweight and may indicate higher acuity of care (43). Although infant sex was not a predictor of diagnosis resolution, higher birthweight was unexpectedly associated with lower odds of diagnosis resolution (OR = 0.998, 95% CI [0.0996–0.9997], p = 0.024). This counterintuitive finding is likely influenced by differences in acuity, study requirements of only one initial and one follow-up assessment, and the limited sample size.

Similar to prior research (19, 20), higher quality NCP documentation predicted better outcomes: each one-point increase in NCP-QUEST score was associated with a 58% greater likelihood of diagnosis improvement and resolution (OR = 1.58, 95% CI [1.01, 2.45], p = 0.042) (Table 2) (19, 20). Consistent with findings by Lewis et al. (20) each additional nutrition visit was associated with a 77% greater likelihood of diagnosis improvement (OR = 1.77, 95% CI [0.34, 9.33], p = 0.049), suggesting that more frequent contact with RDNs improved health-related outcomes for infants in the BFR (Table 2). Notably wide confidence intervals among predictors are likely due to the small sample size of this pilot registry study and may limit interpretation of the statistical model.

Previous research has emphasized the critical role of RDNs in supporting breastfeeding (9, 10, 4447), though there is an opportunity to improve knowledge and training in this practice area (4850). BFR findings further highlight the role of the RDNs in enhancing public health outcomes through nutrition care and lactation support.

4.3 Impactful care plans

Nearly 70% of nutrition diagnoses in the BFR were improved at reassessment (Table 1), an improvement rate that exceeds those previously reported in other dietetics registry studies (19, 20). The BFR study presents the first known specific description of effective nutrition care patterns delivered to breastfeeding infants. Impactful care plans (Figure 2) can be utilized as a practice tool by lactation RDNs. In most cases, breastfeeding and predicted breastfeeding difficulty diagnoses improved or resolved. Notably, RDNs most frequently identified physical-function as root causes for breastfeeding difficulties, which are consistent with common breastfeeding difficulties reported in the literature: cracked or sore nipples, latching problems, insufficient milk supply, and breast engorgement (1113). BFR RDNs provided support through modification of latch and breastmilk feeding attempts as part of the nutrition intervention.

In this study, RDN care improved underweight and inadequate vitamin D intake nutrition diagnoses, both of which carry significant implications for infant and long-term health. Underweight in infancy is linked to higher nutrition risk throughout childhood (51), while inadequate vitamin D intake can result in deficiency or rickets, compromising bone health and development (52). These nutrition problems represent major public health challenges, as their impact extends beyond infancy and contributes to greater healthcare burden (53, 54), yet BFR findings demonstrate that RDNs frequently improved underweight and inadequate vitamin D intake through tailored nutrition education. The effectiveness of RDNs in addressing breastfeeding difficulties, underweight, and inadequate vitamin D intake highlights their essential role in promoting breastfeeding, infant health, and public health. To our knowledge, this is the first study to examine NCP documentation patterns in lactation nutrition, addressing a critical evidence gap regarding how RDNs support breastfeeding infants.

4.4 NCP documentation quality

Despite pre-study training, documentation quality in the BFR was suboptimal, with approximately 90% (n = 62) of documented encounters categorized as low- and medium-quality according to the NCP-QUEST (Table 1). Nutrition etiologies (85%; n = 59) and interventions (84%; n = 58) were well-documented, however, nutrition goals (26%; n = 18) were not. Only 10% (n = 7) of encounters in the BFR contained complete NCP chains, in contrast to previous registry studies reporting approximately 50% of encounters as complete NCP chains (19, 20). Despite the opportunity for improving NCP documentation quality in the BFR, the problem resolution rate in the BFR was higher than rates previously reported and each one-point increase in NCP-QUEST score was associated with a 58% increase in the odds of diagnosis improvement and resolution.

4.5 Limitations

As a U.S.-based pilot registry study relying on a convenience sample, findings may not be generalizable to the global population, and the high withdrawal rate may have introduced selection bias. All data came from ANDHII chart reviews, which may not capture the full course of care; documentation was limited to standardized NCPT entries, and RDNs may have documented only partially due to time constraints (18) or the two-encounter study requirement. Analysis of breastfeeding outcomes was further constrained by insufficient documentation of key data. Despite rigorous modeling, some model instability was observed, including the counterintuitive associations between a master's degree and lower odds of nutrition diagnosis improvement, as well as higher birthweight and less improvement. The association with education likely reflects a single RDN with higher-acuity patients whose problems were less likely to improve within the study timeframe. Similarly, the birthweight finding may be influenced by differences in patient acuity and the limited sample size. Wide confidence intervals further reflect the limited sample.

Despite these limitations, standardized NCPT data from multiple RDNs and practice sites enhances clinical relevance and offers essential insight into real-world lactation nutrition care. While not generalizable, these findings are hypothesis-generating and lay the groundwork for future practice-based research in this underexplored area of dietetics.

4.6 Implications for practice

Our findings add to evidence that higher-quality NCP documentation supports high-quality, targeted nutrition care, reinforcing the need to adopt the NCPT in lactation and broader dietetics practice. To effectively track exclusive breastfeeding duration, we recommend documentation of a core outcomes set (COS): breastfeeding initiation date, extent (exclusive, predominant, or partial), route(s) of human milk administration (i.e., breast, bottle, or enteral feedings), and cessation date. COS are sets of data elements designed to assess outcomes for patients with the same health interest or condition, allowing researchers to report the same outcomes across studies and draw stronger conclusions about the effectiveness of interventions for a specialty area (55). We urge adoption of this COS in the routine documentation of infant nutrition care to enhance data quality and enable standardized tracking of breastfeeding practices across dietetics, pediatrics, and public health research. This standardization will strengthen the alignment of individual nutrition care to broader public health goals and outcomes. The Core Outcome Measures in Effectiveness Trials (COMET) Initiative (56), which houses a database of COS-related studies and completes regular updates to a systematic review of all related research, reports no COS have been developed for breastfeeding research. Thus, there is a need for further research in this area and the proposed COS for breastfeeding research is consistent with the guidance of the COMET Initiative (56), which emphasizes stakeholder involvement in outcome identification and consensus-building to enhance comparability across studies.

Continued development of ICPs is warranted to clarify their utility in research and practice. ICPs are likely a tool for RDNs to apply to patient care while also promoting greater involvement in practice-based research. Still, there is a need to clearly define the improvement ICPs showcase, in terms of both statistical and clinical significance. With no evidence-based nutrition practice guidelines or Academy Position papers on lactation nutrition, BFR findings may inform continuing education and training standards to support practice improvement and strengthen RDNs' impact on public health.

5 Conclusion

These findings highlight the critical role of RDNs in supporting breastfeeding and advancing public health. In applying the NCP and utilizing standard terminology, RDNs addressed common barriers to meeting breastfeeding goals, achieving an 80% diagnosis improvement rate in the BFR. These findings offer an initial foundation for future research into how lactation nutrition care may advance both clinical and public health outcomes. Identified ICPs for breastfeeding difficulty, underweight, and inadequate vitamin D intake serve as practical resources for RDNs. This study is first known effort to examine NCP documentation patterns in lactation nutrition, providing novel evidence of how RDNs address breastfeeding challenges and highlighting the importance of robust documentation and practice-based research in alignment with global breastfeeding standards. Continued research, using standardized breastfeeding data, longer-duration follow-up, and larger samples is essential to strengthen the evidence base, inform dietetics training and practice, and optimize RDNs' impact on breastfeeding outcomes and public health.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

AG: Investigation, Writing – review & editing, Visualization, Writing – original draft, Formal analysis. JL: Writing – original draft, Formal analysis, Data curation, Methodology, Project administration. LWo: Software, Writing – review & editing, Visualization, Methodology, Data curation. LWr: Writing – review & editing, Investigation. CC: Writing – review & editing, Investigation. HH: Supervision, Data curation, Methodology, Writing –review & editing. CP: Funding acquisition, Project administration, Formal analysis, Data curation, Supervision, Methodology, Writing – review & editing, Conceptualization, Investigation.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. Funding for this study was provided by the Women's Health and Pediatric Nutrition Dietetics Practice Groups through a grant from the Academy of Nutrition and Dietetics (Academy) Foundation. The Academy provided staff support for the execution of the study via the Data Science Center, of the Research, International, and Scientific Affairs team. The Academy and Commission on Dietetic Registration provided financial and material support for the development of the Academy of Nutrition and Dietetics Health Informatics Infrastructure (ANDHII).

Acknowledgments

The authors would like to acknowledge Melissa Cooper, MSH, RDN, LDN for contributing to the development of the project. The authors also thank the advisory group members (Valery Soto, FNS; Ellen Lechtenberg, MPH, RD, IBCLC; Shannon K. Goff, MPH, RDN-AP, CNSC, CSPCC, CLC; Marti Toner, MS, RD, LD; Alena M. Clark, PhD, MPH, RD, CLC) for their expert input. The authors would like to acknowledge the participating RDNs and collaborating sites for their contributions: Southeastern Community Services WIC, Pueblo County Public Health & Environment WIC; Near North Health Corporation WIC, Health First Family Care Center WIC, Konza Prairie Community Health Center WIC, Children's Wisconsin, Dartmouth Health Children's, and Rockingham County Department of Health and Human Services WIC. We are also grateful for the administrative support provided by Theresa Winters. All individuals listed in these acknowledgments have provided their permission to be named.

Conflict of interest

JL was a contractor, CP is an employee, and LWo was an employee of the Academy of Nutrition and Dietetics, which has a financial interest in the Nutrition Care Process Terminology described here.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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References

1. U.S. Department of Health and Human Services. The Surgeon General's Call to Action to Support Breastfeeding. Washington, DC: U.S. Department of Health and Human Services, Office of the Surgeon General (2011).

Google Scholar

2. Lessen R, Kavanagh K. Position of the academy of nutrition and dietetics: promoting and supporting breastfeeding. J Acad Nutr Diet. (2015) 115:444–9. doi: 10.1016/j.jand.2014.12.014

PubMed Abstract | Crossref Full Text | Google Scholar

3. United Nations Children's Fund (UNICEF). Breastfeeding: A Mother's Gift, for Every Child (2018). Available online at: https://www.unicef.org/media/48046/file/UNICEF_Breastfeeding_A_Mothers_Gift_for_Every_Child.pdf (Accessed August 28, 2025).

Google Scholar

4. World Health Organization. Breastfeeding (2025). Geneva: World Health Organization.

Google Scholar

5. World Health Organization; United Nations Children's Fund. Global Strategy for Infant and Young Child Feeding. Geneva, Switzerland: World Health Organization (2003).

Google Scholar

6. Ogata B, Carney LN. Academy of Nutrition and Dietetics: revised 2022 standards of practice and standards of professional performance for registered dietitian nutritionists (competent, proficient, and expert) in pediatric nutrition. J Acad Nutr Diet. (2022) 122:2134–49. doi: 10.1016/j.jand.2022.07.005

PubMed Abstract | Crossref Full Text | Google Scholar

7. Hilliard E. How registered dietitian nutritionists become and practice as International Board-Certified Lactation Consultants: words of advice and calls to action. J Acad Nutr Diet. (2023) 123:719–24. doi: 10.1016/j.jand.2022.11.011

Crossref Full Text | Google Scholar

8. Hilliard E, Yakowicz S. Registered dietitian nutritionists as lactation consultants: the pathways to and importance of this professional role. J Acad Nutr Diet. (2019) 119:1237–42. doi: 10.1016/j.jand.2018.06.012

PubMed Abstract | Crossref Full Text | Google Scholar

9. Reichert-Anderson P, Schepers A, Feinstein J, Sherin M, Subramanian P, Bernstein H. Community approaches to support and promote breastfeeding. J Acad Nutr Diet. (2020) 120:A66. doi: 10.1016/j.jand.2020.06.030

Crossref Full Text | Google Scholar

10. Bruening M, Perkins S, Udarbe A. Academy of Nutrition and Dietetics: revised 2022 standards of practice and standards of professional performance for registered dietitian nutritionists (competent, proficient, and expert) in public health and community nutrition. J Acad Nutr Diet. (2022) 122:1744–63.e49. doi: 10.1016/j.jand.2022.04.005

Crossref Full Text | Google Scholar

11. Kavle JA, Lacroix E, Dau H, Engmann C. Addressing barriers to exclusive breast-feeding in low- and middle-income countries: a systematic review and programmatic implications. Public Health Nutr. (2017) 20:3120–34. doi: 10.1017/S1368980017002531

PubMed Abstract | Crossref Full Text | Google Scholar

12. Scime NV, Metcalfe A, Nettel-Aguirre A, Nerenberg K, Seow CH, Tough SC, et al. Breastfeeding difficulties in the first 6 weeks postpartum among mothers with chronic conditions: a latent class analysis. BMC Pregnancy Childbirth. (2023) 23:90. doi: 10.1186/s12884-023-05407-w

PubMed Abstract | Crossref Full Text | Google Scholar

13. Mahurin-Smith J. Challenges with breastfeeding: pain, nipple trauma, and perceived insufficient milk supply. Am J Matern Chil Nurs. (2023) 48:161–7. doi: 10.1097/NMC.0000000000000909

PubMed Abstract | Crossref Full Text | Google Scholar

14. Buckle A, Taylor C. Cost and cost-effectiveness of donor human milk to prevent necrotizing enterocolitis: systematic review. Breastfeeding Med. (2017) 12:528–36. doi: 10.1089/bfm.2017.0057

PubMed Abstract | Crossref Full Text | Google Scholar

15. Swan WI, Pertel DG, Hotson B, Lloyd L, Orrevall Y, Trostler N, et al. Nutrition Care Process (NCP) Update part 2: developing and using the NCP terminology to demonstrate efficacy of nutrition care and related outcomes. J Acad Nutr Diet. (2019) 119:840–55. doi: 10.1016/j.jand.2018.10.025

PubMed Abstract | Crossref Full Text | Google Scholar

16. Thompson KL, Davidson P, Swan WI, Hand RK, Rising C, Dunn AV, et al. Nutrition care process chains: the “missing link” between research and evidence-based practice. J Acad Nutr Diet. (2015) 115:1491–8. doi: 10.1016/j.jand.2015.04.014

PubMed Abstract | Crossref Full Text | Google Scholar

17. Murphy WJ, Steiber AL, A. new breed of evidence and the tools to generate it: Introducing andhii. J Acad Nutr Diet. (2015) 115:19–22. doi: 10.1016/j.jand.2014.10.025

Crossref Full Text | Google Scholar

18. Colin CR, Woodcock L, Wright LY, Yakes Jimenez E, Papoutsakis C. The need for and challenges of nutrition and dietetics registry studies: an update on the Academy of Nutrition and Dietetics Health Informatics Infrastructure. J Acad Nutr Diet. (2023) 123:673–82. doi: 10.1016/j.jand.2023.01.002

PubMed Abstract | Crossref Full Text | Google Scholar

19. Colin C, Arikawa A, Lewis S, Cooper M, Lamers-Johnosn E, Wright L, et al. Documentation of the evidence-diagnosis link predicts nutrition diagnosis resolution in the Academy of Nutrition and Dietetics' Diabetes Mellitus Registry Study: a secondary analysis of nutrition care process outcomes. Front Nutr. (2023) 10:1011958. doi: 10.3389/fnut.2023.1011958

PubMed Abstract | Crossref Full Text | Google Scholar

20. Lewis SL, Wright L, Arikawa AY, Papoutsakis C. Etiology intervention link predicts resolution of nutrition diagnosis: a nutrition care process outcomes study from a veteran's health care facility. J Acad Nutr Diet. (2021) 121:1831–40. doi: 10.1016/j.jand.2020.04.015

Crossref Full Text | Google Scholar

21. Chui TK, Proaño GV, Raynor HA, Papoutsakis C, A. nutrition care process audit of the national quality improvement dataset: supporting the improvement of data quality using the ANDHII platform. J Acad Nutr Diet. (2020) 120:1238–48. doi: 10.1016/j.jand.2019.08.174

Crossref Full Text | Google Scholar

22. Murphy W, Howarter K. Patient outcomes from nutrition education and counseling reported with NCPT (Nutrition Care Process Terminology) via ANDHII (Academy's Nutrition and Dietetics Health Informatics Infrastructure). J Acad Nutr Diet. (2017) 117:A30. doi: 10.1016/j.jand.2017.06.270

Crossref Full Text | Google Scholar

23. Riederman A, Bojko M, Foley S. Feasibility of ANDHII to capture nutrition outcomes in an oncology setting. J Acad Nutr Diet. (2019) 119:A12. doi: 10.1016/j.jand.2019.06.055

Crossref Full Text | Google Scholar

24. Proaño GV, Papoutsakis C, Lamers-Johnson E, Moloney L, Bailey MM, Abram JK, et al. Evaluating the implementation of evidence-based kidney nutrition practice guidelines: the AUGmeNt study protocol. J Renal Nutr. (2022) 32:613–25. doi: 10.1053/j.jrn.2021.09.006

PubMed Abstract | Crossref Full Text | Google Scholar

25. Ansu V, Papoutsakis C, Gletsu-Miller N, Spence LA, Kelley K, Woodcock L, et al. Nutrition care practice patterns for patients with COVID-19-a preliminary report. JPEN. (2021) 45:1774–8. doi: 10.1002/jpen.2106

PubMed Abstract | Crossref Full Text | Google Scholar

26. Lamers-Johnson E, Kelley K, Knippen KL, Feddersen K, Sanchez DM, Parrott JS, et al. A quasi-experimental study provides evidence that registered dietitian nutritionist care is aligned with the Academy of Nutrition and Dietetics evidence-based nutrition practice guidelines for type 1 and 2 diabetes. Front Nutr. (2022) 12:9. doi: 10.3389/fnut.2022.969360

PubMed Abstract | Crossref Full Text | Google Scholar

27. Murphy WJ, Hand RK, Abram JK, Papoutsakis C. Impact of diabetes prevention guideline adoption on health outcomes: a pragmatic implementation trial. J Acad Nutr Diet. (2021) 121:2090–100. doi: 10.1016/j.jand.2020.11.001

PubMed Abstract | Crossref Full Text | Google Scholar

28. Roy R, Sekula J, Papoutsakis C. Using a web-based platform to apply the nutrition care process and capture nutrition outcomes and patient satisfaction in a student-led dietetic outpatient clinic: a pilot study. Austr J Clin Educ. (2021) 6:28091. doi: 10.53300/001c.28091

Crossref Full Text | Google Scholar

29. Kair LR, Flaherman VJ, Colaizy TT. Effect of donor milk supplementation on breastfeeding outcomes in term newborns: a randomized controlled trial. Clin Pediatr. (2019) 58:534–40. doi: 10.1177/0009922819826105

PubMed Abstract | Crossref Full Text | Google Scholar

30. Office for Human Research Protections. U.S. Department of Health and Human Services. In: Coded Private Information or Specimens Use in Research, Guidance (2008). Available online at: https://www.hhs.gov/ohrp/regulations-and-policy/guidance/research-involving-coded-private-information/index.html (Accessed March 8, 2024).

Google Scholar

31. Benchimol EI, Smeeth L, Guttmann A, Harron K, Moher D, Petersen I, et al. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. PLoS Med. (2015) 12:e1001885. doi: 10.1371/journal.pmed.1001885

PubMed Abstract | Crossref Full Text | Google Scholar

32. Long JM, Yoder A, Woodcock L, Papoutsakis C. Impact of a registered dietitian nutritionist-led food as medicine program in the food retail setting: a feasibility study. J Acad Nutr Diet. (2024) 124:1503–13. doi: 10.1016/j.jand.2024.07.007

PubMed Abstract | Crossref Full Text | Google Scholar

33. Lewis SL, Miranda LS, Kurtz J, Larison LM, Brewer WJ, Papoutsakis C. Nutrition care process quality evaluation and standardization tool: the next frontier in quality evaluation of documentation. J Acad Nutr Diet. (2022) 122:650–60. doi: 10.1016/j.jand.2021.07.004

PubMed Abstract | Crossref Full Text | Google Scholar

34. IBM Corp. IBM SPSS Statistics for Windows, Version 28.0. Armonk, NY: IBM Corp (2021).

Google Scholar

35. StataCorp. Stata: Release 17. Statistical Software. College Station, TX: StataCorp (2021).

Google Scholar

36. Kawan M, Gregory E, Spatz D. Improving breastfeeding care & support in a large, urban, pediatric primary care practice. J Pediatr Nurs. (2023) 70:3–8. doi: 10.1016/j.pedn.2022.10.007

Crossref Full Text | Google Scholar

37. Whitley MD, Ro A, Palma A. Work, race and breastfeeding outcomes for mothers in the United States. PLoS ONE. (2021) 16:e0251125. doi: 10.1371/journal.pone.0251125

PubMed Abstract | Crossref Full Text | Google Scholar

38. Meek JY and Noble L. Policy statement: breastfeeding and the use of human milk. Pediatrics. (2022) 150:e2022057988. doi: 10.1542/peds.2022-057988

Crossref Full Text | Google Scholar

39. Centers for Disease Control and Prevention (CDC). Breastfeeding Report Card (2022). Available online at: https://www.cdc.gov/breastfeeding-data/breastfeeding-report-card/index.html (Accessed May 2, 2025).

Google Scholar

40. Parker M, Burnham L, Kerr S, Belfort MB, Perrin MT, Corwin MJ, et al. National prevalence of donor milk use among level 1 nurseries. Hosp Pediatr. (2020) 10:1078–86. doi: 10.1542/hpeds.2020-001396

PubMed Abstract | Crossref Full Text | Google Scholar

41. Bai Y. and Kuscin J. The current state of donor milk use and practice. J Midwifery Womens Health. (2021) 66:478–85. doi: 10.1111/jmwh.13244

Crossref Full Text | Google Scholar

42. World Health Organization. Eastern Mediterranean Region (WHO EMRO). In: Exclusive Breastfeeding for 6 Months (2025). Available online at: https://www.emro.who.int/nutrition/breastfeeding/index.html (Accessed September 8, 2025).

Google Scholar

43. World Health Organization. Global Nutrition Targets 2025: Low Birth Weight Policy Brief. Geneva, Switzerland: World Health Organization (2025). Available online at: https://media.tghn.org/articles/WHO_NMH_NHD_14.5_eng.pdf (Accessed August 30, 2025).

Google Scholar

44. Dinour LM, Shefchik M, Uguna A. Correlates of professional breastfeeding perceived role, perceived influence, and confidence in providing lactation support among registered dietitians and registered nurses. Dietetics. (2024) 3:435–51. doi: 10.3390/dietetics3040032

Crossref Full Text | Google Scholar

45. Dytrych CL, Krogstrand KS, Albrecht J. Dietitian's problem solving knowledge to promote and support breastfeeding. J Acad Nutr Diet. (2013) 113:A-26. doi: 10.1016/j.jand.2013.06.078

Crossref Full Text | Google Scholar

46. Dinour L, Shefchik M. Factors associated with registered dietitians' confidence in their ability to provide lactation counseling, guidance, and recommendations. J Acad Nutr Diet. (2022) 122:A41. doi: 10.1016/j.jand.2022.06.149

Crossref Full Text | Google Scholar

47. Becker GE, Quinlan G, Ward F, O'Sullivan EJ. Dietitians supporting breastfeeding: a survey of education, skills, knowledge and attitudes. Ir J Med Sci. (2021) 190:711–22. doi: 10.1007/s11845-020-02384-3

PubMed Abstract | Crossref Full Text | Google Scholar

48. Theurich MA, McCool ME. Moving national breastfeeding policies into practice: a plea to integrate lactation education and training into nutrition and dietetics programs in the United States. J Hum Lact. (2016) 32:563–7. doi: 10.1177/0890334416652596

PubMed Abstract | Crossref Full Text | Google Scholar

49. Payne J, Radcliffe B, Blank E, Churchill E, Hassan N, Cox E, et al. Breastfeeding: the neglected guideline for future dietitian-nutritionists? Nutr Diet. (2007) 64:93–8. doi: 10.1111/j.1747-0080.2007.00094.x

Crossref Full Text | Google Scholar

50. Molaison EF, Martin K. Comparison of breastfeeding knowledge between physicians, nurses, dietitians, and mothers. J Am Diet Assoc. (2003) 103:164–5. doi: 10.1016/S0002-8223(08)70264-5

Crossref Full Text | Google Scholar

51. South CA, Keown-Stoneman CDG, Birken CS, Malik VS, Zlotkin SH, Maguire JL. Underweight in the first 2 years of life and growth in later childhood. JAMA Netw Open. (2022) 5:E2224417. doi: 10.1093/cdn/nzac061.102

PubMed Abstract | Crossref Full Text | Google Scholar

52. Stoica AB and Marginean C. The impact of vitamin D deficiency on infants' health. Nutrients. (2023) 15:4379. doi: 10.3390/nu15204379

Crossref Full Text | Google Scholar

53. Roth DE, Abrams SA, Aloia J, Bergeron G, Bourassa M, Brown K, et al. Global prevalence and disease burden of vitamin D deficiency: a roadmap for action in low-and middle-income countries. Ann N Y Acad Sci. (2018) 1430:44–79. doi: 10.1111/nyas.13968

Crossref Full Text | Google Scholar

54. Mardani RA, Wu W, Nhi V, Huang H. Association of breastfeeding with undernutrition among children under 5 years of age in developing countries: a systematic review and meta-analysis. J Nurs Scholarsh. (2022) 54:692–703. doi: 10.1111/jnu.12799

PubMed Abstract | Crossref Full Text | Google Scholar

55. Gargon E, Gorst SL, Williamson PR. 5th annual update to a systematic review of core outcomes sets for research. PLoS ONE. (2019) 14:e0225980. doi: 10.1371/journal.pone.0225980

Crossref Full Text | Google Scholar

56. COMET Management Group. COMET Databased (2011). Available online at: www.comet-initiative.org (Accessed May 12, 2025).

Google Scholar

Keywords: lactation, breastfeeding, registered dietitian nutritionist, nutrition care process, nutrition care process terminology, informatics, medical nutrition therapy, public health nutrition

Citation: Gaubert A, Long JM, Woodcock L, Wright L, Colin C, Hamadi H and Papoutsakis C (2025) Higher quality nutrition care process documentation predicts nutrition diagnosis improvement in the Academy of Nutrition and Dietetics breastfeeding registry study. Front. Nutr. 12:1632931. doi: 10.3389/fnut.2025.1632931

Received: 21 May 2025; Accepted: 27 October 2025;
Published: 17 November 2025.

Edited by:

Karolina Krupa-Kotara, Medical University of Silesia, Poland

Reviewed by:

Alessandro Iellamo, FHI 360, United States
Andi Eka Yunianto, Lampung University, Indonesia
Farhanah Shuhaimi, MARA University of Technology, Malaysia

Copyright © 2025 Gaubert, Long, Woodcock, Wright, Colin, Hamadi and Papoutsakis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Constantina Papoutsakis, Y3BhcG91dHNha2lzQGVhdHJpZ2h0Lm9yZw==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.