Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2025 Sep 3.
Published in final edited form as: Am J Obstet Gynecol MFM. 2024 Sep 12;6(11):101483. doi: 10.1016/j.ajogmf.2024.101483

Telelactation use patterns among a racially and ethnically diverse sample of US parents: secondary analysis of a randomized controlled trial

Kandice A Kapinos 1,2, Molly Waymouth 3,4, Kristin N Ray 5, Jill R Demirci 6, Ateev Mehrotra 7, Kortney James 8,9, Gabriela Alvarado 10,11, Khadesia Howell 12,13, Maria DeYoreo 14,15, Lori Uscher-Pines 16,17
PMCID: PMC12402978  NIHMSID: NIHMS2105410  PMID: 39277107

Objective:

Telelactation—synchronous video visits with lactation consultants—can reduce the disparities in access to professional breastfeeding support and improve breastfeeding experiences and rates. Previous literature on telephonic or application-based breastfeeding support has described use patterns for breastfeeding hotlines and applications that provide educational content.1,2 Telelactation video visits are now widely available. Although as many as a third of new parents used telelactation in 2020 to 2021,3 little is known about how individuals engage with these services. We described use patterns among new parents offered telelactation as part of a randomized controlled trial designed to assess the effectiveness of telelactation across diverse populations of birthing people.

Study Design:

A total of 1052 individuals in the trial (ClinicalTrials.gov Identifier: NCT04856163) received access to on-demand telelactation visits through a smartphone application provided by Pacify Health from July 2021 to August 2023. The trial methods were previously described in the published protocol.4

We used participant survey data to extract demographic information, breastfeeding behaviors, and receipt of breastfeeding support and used electronic health record data to extract visit characteristics. The primary outcome was telelactation use. We examined how use varied by key sociodemographic characteristics and assessed visit characteristics among telelactation users. The study was approved by the RAND institutional review board.

To build parsimonious adjusted models, we estimated an elastic net regression. After variable selection, we estimated logistic and Poisson regressions for binary dependent variable (telelactation use; yes or no) and count models (number of telelactation visits among users), respectively, and reported adjusted odds ratios (aORs), means, and 95% confidence intervals (CIs). Stata MP 17 (StataCorp LLC, College Station TX) was used to conduct analyses.

Results:

A total of 963 (92%) participants completed the final survey at 6 months postpartum and were included in the analysis. The mean age of study participants was 29.46 years (standard deviation, 5.22), and 303 (31%) had Medicaid insurance or were uninsured (Supplemental Table 1). In total, 360 (37%) completed at least 1 telelactation visit that addressed a breastfeeding challenge.

In adjusted models, maternal age was positively associated with telelactation use (aOR, 1.06; 95% CI, 1.02–1.09) (Table 1). Parents who reported receiving breastfeeding support from family (aOR, 1.73; 95% CI, 1.29–2.33) or other sources (not including peers, Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), doctors, in-person lactation consultants, or nurses) (aOR, 2.71; 95% CI, 1.56–4.71) had greater adjusted odds of using the service. The odds of use also increased as the number of reported breastfeeding problems increased (aOR, 1.31; 95% CI, 1.18–1.46). There were no significant associations between parent’s race or ethnicity, health insurance, plans to work in the first year of life, rurality, primary language spoken in the home, internet access, mode of delivery, or opinions about technology companies and the use of telelactation.

TABLE 1.

Predictors of any use of telelactation and intensity of use

Dependent variable: any telelactation
Dependent variable: number of consultations (among users)
Crude OR 95% CI Adjusted OR 95% CI Coefficient 95% CI
Characteristic n=963a n=921 n=350

Age (y) 1.08b 1.05–1.11 1.06b 1.02–1.09 0.03b 0.01–0.04

Race or ethnicity

 Black 0.74 0.53–1.03 0.89 0.61–1.3 −0.08 −0.28 to 0.11

 Latinx only 0.77 0.56–1.05 0.81 0.55–1.2 0.37b 0.19–0.55

 Non-Black and non-Latinx Ref Ref Ref

Medicaid or uninsured 0.46b 0.34–0.62 0.91 0.62–1.35 −0.17 −0.38 to 0.03

Lives in rural area or HPSA 0.66 0.39–1.10 0.71 0.39–1.28 −0.25 −0.58 to 0.08

Speaks language besides English at home 1.16 0.87–1.53 1.33 0.92–1.92 0.00 −0.16 to 0.17

Plans to work during first year 1.39c 1.04–1.86 1.17 0.83–1.64 −0.22d −0.38 to 0.03

Only has internet through cell phone 0.2c 0.05–0.86 0.37 0.08–1.71 −0.8 −2.22 to 0.61

Uses video applications often 1.48d 1.14–1.94 1.35c 1–1.82 0.19 0.02–0.36

Trusts technology companies 0.67d 0.50–0.90 0.85 0.59–1.23 0.12c −0.07 to 0.31

Believes data are kept safee 0.6d 0.43–0.83 0.70 0.47–1.04 −0.02 −0.16 to 0.12

Delivered by cesarean delivery 1.02 0.76–1.36 0.86 0.65–1.13 −0.02 −0.16 to 0.12

Breastfeeding support from (not mutually exclusive)

 Doctor 1.01 0.71–1.45 0.81 0.54–1.21 −0.34d −0.55 to —0.12

 In-person LC 1.83d 1.24–2.71 1.48 0.93–2.36 −0.11 −0.36 to 0.15

 Family 1.89b 1.45–2.46 1.73b 1.29–2.32 0.04 −0.22 to 0.30

 WIC 0.54d 0.36–0.82 0.71 0.44–1.15 −0.07 −0.28 to 0.14

 Other 3.11b 1.86–5.18 2.71b 1.56–4.71 0.03 −0.01 to 0.08

 No. of breastfeeding problems related to infant through 24 wkf 1.24 0.65–2.35 1.31b 1.18–1.46 0.04 −0.01 to 0.08

All covariates listed, except maternal age, are dichotomous Indicator variables (0/1). All covariates listed, except race/ethnlclty, were Identified by the elastic net regression.

CI, confidence interval; HPSA, Health Professional Shortage Area; LC, Lactation Consultant; OR, odds ratio; WIC, Special Supplemental Nutrition Program for Women, Infants, and Children.

a

Data on maternal age, language spoken at home, and use of video applications were available for 954 parents. Data on cell phone use were available for 921 parents. The fully adjusted model included only 921 parents due to the missing values, however overall results using the full sample without adjusting for these variables are similar to those reported here

b

P<.001

c

P<.05

d

P<.01

e

By technology companies

f

Reported trouble with latch; infant choking when breastfeeding; not waking up for, not interested in, or distracted during breastfeeding; infant wanted to breastfeed too often; not gaining enough weight; or other infant-related problem.

Users of telelactation completed an average of 2.31 consultations (95% CI, 2.02–2.60), and the median number of consultations was 1. Among users, Latinx parents completed 0.37 (95% CI, 0.19–0.55) more visits than non-Black and non-Latinx parents (Table 2). Of those included, 49 (14%) telelactation users completed consultations before birth, 259 (74%) completed consultations between birth and 4 weeks postpartum, 106 (39%) between 1 and 3 months postpartum, and 77 (22%) after 3 postpartum months (Figure). Consultations that occurred between 0 and 4 weeks postpartum were the longest in duration (average of 11.92 minutes; 95% CI, 10.81–13.04), and the most common topics discussed in these visits included latching (33%), breast issues (28%), and feeding schedule or patterns (27%) (Figure). In contrast, the most common topics in visits after 3 months postpartum included breastmilk supply (29%), feeding schedule or patterns (21%), and breast issues (21%).

TABLE 2.

Characteristics of visits and parents using telelaction during perinatal period

Characteristics Before birth
Birth to 4 wk
1–3 mo
>3 mo
Visit details Mean or no. 95% CI or % Mean or no. 95% CI or % Mean or no. 95% CI or% Mean or no. 95% CI or % P value

Number of visits 50 439 268 135

Length of call 10.63 8.21–13.05 11.92 10.81–13.04 10.49 9.09–11.89 8.57 7.37–9.77 .00

During business hours 35 70% 318 71% 139 80% 103 65% .11

Visit content (not mutually exclusive)

 Breastmilk supply 4 8% 8719% 59 22% 39 29% .01

 Breastmilk storge 1 2% 12 3% 22 7% 10 8% .01

 Feeding schedule or patterns 7 14% 121 27% 70 26% 28 21% .16

 Latch 4 8% 147 33% 40 15% 13 10% .00

 Pumping 6 12% 5011% 38 14% 18 14% .71

 Pump device 6 12% 12 3% 13 5% 4 3% .01

 Breast issues 4 8% 125 28% 56 21% 28 21% .01

 Maternal health and substances 3 6% 13 3% 13 5% 17 13% .00

 Baby issues 1 2% 6615% 43 16% 20 15% .08

 Return to work 0 0% 2 0% 35 13% 18 14% .00

 Miscellaneous (including preparing to breastfeed) 27 54% 40 9% 13 5% 4 3% .00

Parent characteristics n=49 n=259 n=106 n=77

 Age 30.45 29.01–31.89 31.15 30.68–31.62 31.99 31.26–32.73 31.40 30.68–32.11 .15

 Medicaid or uninsured 16 33% 52 20% 21 20% 15 19% .06

 Lives in rural community 1 2% 12 5% 4 4% 6 8% .28

P values were determined using chi-square tests by comparing the proportions across periods or using F tests by comparing means across periods. For a visit content category to be included in the table, the category had to represent at last 5% of visits in 1 or more period.

To identify the reasons for visits, 2 members of the study team reviewed the chart notes. We applied up to 3 categories (codes) to each visit. Categories were determined after a review of a random sample of 100 chart notes. Categories included breastmilk supply, breastmilk storage, feeding schedule or patterns, weaning, latching, supplemental feeding, pumping, pump device, breast issues (medical concerns), maternal health including medications and substances with the potential to impact breastfeeding, infant issues (eg, illnesses or conditions with the potential to impact breastfeeding), and miscellaneous content (including preparing for breastfeeding) (Supplemental Table 1 contains additional detail). Visits with ambiguous content or with more than 3 content areas were reviewed and resolved by the team. We only present categories that were discussed in 5% or more of visits in 1 or more of the perinatal periods (prenatal, 0–4 weeks post-partum, 1–3 months postpartum, or >3 months postpartum). Consequently, weaning and supplemental feeding were excluded.

CI, confidence interval.

FIGURE. Patterns of telelactation use relative to birth.

FIGURE

A total of 350 parents with 811 total visits. The plot shows the average number of telelactation visits per parent each week and the 95% confidence intervals. The figure includes parents with at least 1 visit.

Conclusion:

Our findings demonstrate broad acceptability and use of telelactation. Furthermore, a sizable minority of parents demanded breastfeeding support before birth, suggesting interest in support across the perinatal period. This study documented the somewhat paradoxical finding that receipt of various sources of breastfeeding support is positively associated with the use of telelactation. It is likely that telelactation is most often used by individuals who seek multiple sources of support after experiencing more severe or a greater number of breastfeeding problems. Users may also represent a population with the most motivation to breastfeed.

The lack of differences in telelactation use by race and ethnicity is promising because some studies have documented lower rates of (video) telehealth use by minoritized individuals because of factors such as the digital divide.5 A limitation of this study is that the sample was recruited from a population of parents that used pregnancy applications. These parents may be more digitally savvy, potentially contributing to greater telelactation use. Future research should address how patterns of use and effectiveness of telelactation vary by the model of support.

Supplementary Material

supplement

SUPPLEMENTARY MATERIALS: Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.ajogmf.2024.101483.

Acknowledgments

This work was supported by a grant from the National Institutes of Health (R01NR018837). The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

K.A.K. had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Footnotes

The authors report no conflict of interest.

CREDIT AUTHORSHIP CONTRIBUTION STATEMENT: Kandice A. Kapinos: Writing – original draft, Visualization, Methodology, Funding acquisition, Formal analysis, Data curation, Conceptualization. Molly Waymouth: Writing – review & editing, Validation, Software, Project administration, Methodology, Investigation, Formal analysis, Conceptualization. Kristin N. Ray: Writing – review & editing, Supervision, Methodology, Investigation, Funding acquisition, Conceptualization. Jill R. Demirci: Writing – review & editing, Methodology, Investigation, Funding acquisition, Conceptualization. Ateev Mehrotra: Writing – review & editing, Supervision, Funding acquisition, Conceptualization. Kortney James: Writing – review & editing, Investigation. Gabriela Alvarado: Writing – review & editing, Investigation, Conceptualization. Khadesia Howell: Writing – review & editing, Investigation, Conceptualization. Maria DeYoreo: Writing – review & editing, Investigation, Funding acquisition, Conceptualization. Lori Uscher-Pines: Writing – review & editing, Validation, Supervision, Software, Project administration, Investigation, Funding acquisition, Formal analysis, Conceptualization.

Contributor Information

Kandice A. Kapinos, RAND Corporation, 1200 S Hayes St., Arlington VA 22202; RAND Corporation, Santa Monica CA.

Molly Waymouth, RAND Corporation, 1200 S Hayes St., Arlington VA 22202; RAND Corporation, Santa Monica CA.

Kristin N. Ray, University of Pittsburgh, Pittsburgh PA.

Jill R. Demirci, University of Pittsburgh School of Nursing, Pittsburgh PA.

Ateev Mehrotra, Brown University School of Public Health, Providence RI.

Kortney James, RAND Corporation, Arlington VA; RAND Corporation, Santa Monica CA.

Gabriela Alvarado, RAND Corporation, Arlington VA; RAND Corporation, Santa Monica CA.

Khadesia Howell, RAND Corporation, Arlington VA; RAND Corporation, Santa Monica CA.

Maria DeYoreo, RAND Corporation, Arlington VA; RAND Corporation, Santa Monica CA.

Lori Uscher-Pines, RAND Corporation, Arlington VA; RAND Corporation, Santa Monica CA.

REFERENCES

  • 1.Glassman ME, Sarakki AP, Katz-Feigenbaum D, Zitaner J, Thind P, Stockwell MS. The use of a medical center-based outpatient breastfeeding support program with telelactation to provide ongoing breastfeeding support to a diverse patient population. Breastfeed Med 2023;18:362–9. [DOI] [PubMed] [Google Scholar]
  • 2.Mullen SM, Marshall A, Warren MD. Statewide breastfeeding hotline use among Tennessee WIC participants. J Nutr Educ Behav 2017;49 (Suppl2). S192–6.e1. [DOI] [PubMed] [Google Scholar]
  • 3.Uscher-Pines L, Kapinos KA, Mehrotra A, et al. Use of and attitudes about telelactation services among new parents. Telemed J E Health 2023;29:607–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Uscher-Pines L, Demirci J, Waymouth M, et al. Impact of telelactation services on breastfeeding outcomes among Black and Latinx parents: protocol for the Tele-MILC randomized controlled trial. Trials 2022;23:5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Adepoju OE, Chae M, Ojinnaka CO, Shetty S, Angelocci T. Utilization gaps during the COVID-19 pandemic: racial and ethnic disparities in telemedicine uptake in federally qualified health center clinics. J Gen Intern Med 2022;37:1191–7. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

supplement

RESOURCES