OBJECTIVES:

To determine the cost-effectiveness of supplemental donor human milk (DHM) versus preterm formula (PTF) for very low birth weight (VLBW, <1500 g) infants from a societal perspective to 18 months’ corrected age.

METHODS:

This prospective cost-effectiveness analysis of 363 VLBW infants was conducted for a randomized control trial. Infants recruited from October 2010 to December 2012 were fed DHM or PTF whenever mother’s milk was unavailable. Formal health care costs for initial hospitalization and readmissions were obtained from standardized cost-accounting systems and physician fees. Informal and nonhealth care sector costs (eg, caregiver transportation, labor market earnings) were calculated from parent reports.

RESULTS:

Mean infant birth weight was 996 (SD, 272) grams. Incidence of necrotizing enterocolitis (NEC) differed between groups (all stages 3.9% DHM, 11.0% PTF; P = .01). Costs to 18 months did not differ with a mean (95% confidence interval) of 217 624 (197 697–237 551) and 217 245 (196 494–237 995) 2015 Canadian dollars in the DHM and PTF groups. Postdischarge costs were lower in the DHM (46 440 [40 648–52 233]) than PTF group (55 102 [48 269–61 934]) (P = .04), driven by parent lost wages. DHM cost an additional $5328 per case of averted NEC.

CONCLUSIONS:

In a high mother’s milk use setting, total costs from a societal perspective to 18 months of providing supplemental DHM versus PTF to VLBW infants did not differ, although postdischarge costs were lower in the DHM group. Although supplemental DHM was not cost-saving, it reduced NEC supporting its use over PTF.

What’s Known on This Subject:

Supplemental donor human milk (DHM) compared with formula reduces the incidence of necrotizing enterocolitis in very low birth weight infants. The cost-effectiveness of DHM in this population from a societal perspective up to 18 months’ corrected age is unknown.

What This Study Adds:

This is the first prospective cost-effectiveness analysis of supplemental DHM versus formula. It shows costs of supplemental DHM compared with formula for very low birth weight infants did not differ from a societal perspective up to 18 months’ corrected age.

Mother’s milk is associated with many positive health outcomes, including a reduction in length of hospital stay, risk of sepsis and necrotizing enterocolitis (NEC), and improved neurodevelopment.1,7 As many mothers of very low birth weight (VLBW, <1500 g) infants are unable to provide a sufficient volume of their own milk, a supplement is required. Increasingly, the supplement of choice is pasteurized donor human milk (DHM) despite limited data evaluating its cost-effectiveness.

The strongest evidence in support of supplemental DHM is its NEC-protective effect. Meta-analyses of randomized control trials (RCTs) show that using preterm formula (PTF) as a supplement increases the risk ratio of NEC compared with DHM (2.8 [95% confidence interval (CI), 1.4 to 5.5]).8 In the United States, 1 case of NEC is estimated to increase formal health care sector costs by $30 681 US dollars.9 Authors of observational studies and modeled estimates suggest that DHM may result in formal health care sector cost-savings compared with PTF, but no study has used prospectively collected infant-level health care costs collected as part of an RCT to evaluate the value-for-money of using DHM as a supplement to mother’s milk.10,12 Accordingly, the aim of this study was to evaluate the cost-effectiveness of DHM versus PTF as a supplement to mother’s milk from a societal perspective to 18 months’ corrected age (CA).

The Donor Milk for Improved Neurodevelopmental Outcomes (ISRCTN35317141) study was a double-blinded RCT in which 363 VLBW infants were enrolled from tertiary NICUs in southern Ontario between October 2010 and December 2012. The aim of the RCT was to determine if nutrient-enriched DHM compared with PTF as a supplement to mother’s milk reduced neonatal morbidity, supported growth, and improved neurodevelopment in VLBW infants. Infants were randomly assigned within 96 hours of birth to receive either supplemental DHM or PTF for 90 days or discharged from the hospital, whichever occurred first. Enteral feeds were initiated on the third postnatal day (interquartile range [IQR] 2–4) and advanced 10 to 25 mL/kg per day up to 160 mL/kg per day.13 Nutrient fortification of human milk commenced at ≥120 mL/kg per day using bovine-based multinutrient fortifiers. Once fortification of DHM commenced, a protein module was added to bring the estimated protein concentration to that of mature mother’s milk. The feeding intervention continued after transfer to community level II NICUs and follow-up of infants continued until 18 months’ CA. Baseline demographics and feeding metrics are provided in Table 1. The study protocol and neurodevelopmental, growth and clinical outcomes are published.13,14 Research ethics boards at each participating hospital approved the study.

TABLE 1

Baseline Characteristics and Clinical Outcomes of VLBW Infants From the RCT

ParameterPTF (n = 182)DHM (n = 181)P
Gestational age (wk) at birth, mean ± SD 27.8 ± 2.7 27.5 ± 2.4 .21 
Birth wt (g), mean ± SD 996 ± 272 995 ± 273 .99 
Small for gestational age, n (%) 24 (13.2) 21 (11.6) .63 
Maternal age (y), mean ± SD 32.6 ± 6.4 31.4 ± 5.9 — 
Maternal education, n (%)    
 High school or less 39 (22.3) 49 (29.0) — 
 College or vocational diploma 55 (31.4) 47 (27.8) — 
 Baccalaureate 46 (26.3) 46 (27.2) — 
 Postbaccalaureate 35 (20.0) 27 (16.0) — 
Mother’s milk use in the first 28 d, median (IQR)a,b 98.5 (54.6–100.0) 95.5 (61.2–100.0) .66 
Length of feeding intervention, median (IQR), db 60 (43–90) 65 (41–90) .40 
Exclusive mother’s milk feeding during intervention, n (%) 49 (26.9) 51 (28.2) .73 
Mother’s milk use during intervention among supplement users, median (IQR)a,b 63.3 (9.6–97.2) 58.4 (13.6–96.0) .96 
Duration of mother’s milk use (d), median (IQR)b 122 (45–288) 133 (54–245) .78 
Length of hospital stay (d), median (IQR)b 67.0 (50.0–102.5) 77.0 (50.5–104.0) .20 
Respiratory support (d), median (IQR)b 31.5 (7.2–64.0) 40.0 (10.0–84.0) .14 
Oxygen support at 36 wk, n (%) 37 (20.7) n = 179 44 (25.1) n = 175 .36 
Confirmed NEC (stage ≥ I), n (%) 20 (11.0) 7 (3.9) .01 
Late-onset sepsis, n (%) 35 (19.2) 44 (24.3) .24 
Severe retinopathy of prematurity, n (%) 8 (4.4) 7 (3.9) .80 
Death, n (%) 20 (11.0) 17 (9.4) .82 
ParameterPTF (n = 182)DHM (n = 181)P
Gestational age (wk) at birth, mean ± SD 27.8 ± 2.7 27.5 ± 2.4 .21 
Birth wt (g), mean ± SD 996 ± 272 995 ± 273 .99 
Small for gestational age, n (%) 24 (13.2) 21 (11.6) .63 
Maternal age (y), mean ± SD 32.6 ± 6.4 31.4 ± 5.9 — 
Maternal education, n (%)    
 High school or less 39 (22.3) 49 (29.0) — 
 College or vocational diploma 55 (31.4) 47 (27.8) — 
 Baccalaureate 46 (26.3) 46 (27.2) — 
 Postbaccalaureate 35 (20.0) 27 (16.0) — 
Mother’s milk use in the first 28 d, median (IQR)a,b 98.5 (54.6–100.0) 95.5 (61.2–100.0) .66 
Length of feeding intervention, median (IQR), db 60 (43–90) 65 (41–90) .40 
Exclusive mother’s milk feeding during intervention, n (%) 49 (26.9) 51 (28.2) .73 
Mother’s milk use during intervention among supplement users, median (IQR)a,b 63.3 (9.6–97.2) 58.4 (13.6–96.0) .96 
Duration of mother’s milk use (d), median (IQR)b 122 (45–288) 133 (54–245) .78 
Length of hospital stay (d), median (IQR)b 67.0 (50.0–102.5) 77.0 (50.5–104.0) .20 
Respiratory support (d), median (IQR)b 31.5 (7.2–64.0) 40.0 (10.0–84.0) .14 
Oxygen support at 36 wk, n (%) 37 (20.7) n = 179 44 (25.1) n = 175 .36 
Confirmed NEC (stage ≥ I), n (%) 20 (11.0) 7 (3.9) .01 
Late-onset sepsis, n (%) 35 (19.2) 44 (24.3) .24 
Severe retinopathy of prematurity, n (%) 8 (4.4) 7 (3.9) .80 
Death, n (%) 20 (11.0) 17 (9.4) .82 

Values are presented as mean ± SD or frequency (%). Categorical data were analyzed by using Cochran–Mantel–Haenszel statistics (controlling for recruitment site), and continuous data were analyzed by using linear regression (controlling for site and birth weight strata [<1000, ≥1000 g] unless indicated). —, not applicable.

a

Expressed as a percent of all enteral feeds.

b

Data analyzed by using Mann–Whitney U test.

Cost-effectiveness analysis from a societal perspective was planned a priori and conducted alongside the RCT.15,16 The RCT sample size was established to detect a 5-point difference in mean cognitive composite scores on the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III) between infants randomly assigned to the DHM versus PTF group, the primary outcome.13,14 As reported, we found no difference in Bayley-III cognitive composite scores between feeding groups (adjusted scores 92.9 in DHM versus 94.5 in PTF groups; fully adjusted mean difference, −2.0 [95% CI, −5.8 to 1.8]).14 We did find a significant reduction in NEC stage ≥ II among infants randomly assigned to the DHM (1.7%) versus PTF (6.6%) group (risk difference of −4.9% [95% CI, −9.0 to −0.9; P = .02]). The primary cost-effectiveness analysis in this manuscript, then, was conducted with a time horizon of birth to 18 months’ CA as intended a priori but focuses on the prevention of NEC rather than improvement in neurodevelopment. In secondary analyses, costs with a birth to hospital discharge time horizon were assessed in terms of total formal and informal health care and nonhealth care costs and cost-effectiveness in preventing NEC. Given the low incidence of NEC stage ≥ II, we used NEC stage ≥ I in these analyses, defined as demonstrating clinical symptoms according to Bells criteria followed by treatment involving suspension of enteral feeds and antibiotics for a minimum of 7 days.14,17 A secondary analysis of costs postdischarge to 18 months’ CA was also included. Since the study’s completion, the Second Panel on Cost-Effectiveness in Health and Medicine recommended that in addition to presenting results from a societal perspective, they be presented from a health care sector perspective.18 Cost-effectiveness analysis from a health care sector perspective include formal health sector costs (medical) costs whether paid by a third-party or out-of-pocket by caregivers, whereas from a societal perspective includes all costs and health effects regardless of who incurred them or obtained the health effects. The cost components included in each reference case perspective are summarized in Supplemental Table 5 and costs from a health care sector perspective can be calculated from the tables summarizing component costs (Table 2, Supplemental Tables 6 and 7).

TABLE 2

Comparison of Cost Components of VLBW Infants From Birth to 18 Months’ CA From a Societal Perspective

Costs (2015 CAD)PTF (n = 182)DHM (n = 181)P
Total birth to discharge 169 409 (151 138–187 680) 177 085 (158 971–195 200) .40 
 Hospital case cost 147 303 (131 210–163 397) 154 710 (138 118–171 302) .37 
 Physician 8522 (7874–9171) 8873 (8216–9530) .42 
 Enteral feeds 41 (36–47) 921 (741–1100) <.0001 
 Caregiver expenses 15 404 (12 009–18 800) 13 801 (11 768–15 835) .15 
  Productivity losses 12 148 (9 019–15 277) 10 223 (8507–11 939) .23a 
  Household help 94 (18–169) 163 (63–264) .52a 
  Child care 164 (68–260) 278 (116–439) .67a 
  Accommodation 160 (27–293) 202 (87–317) .64a 
  Meals 949 (754–1144) 1 036 (796–1276) .78a 
  Breast pump 267 (229–305) 261 (228–293) .58a 
  Travel 1505 (1291–1718) 1530 (1321–1740) .74a 
  Other 14 (5–23) 26 (0–60) .47a 
Total postdischarge to 18 mo CA 55 102 (48 269–61 934) 46 440 (40 648–52 233) .04a 
 Re-hospitalization 6050 (2951–9148) 6632 (4140–9123) .80a 
 Visits to health care professional 2389 (1837–2942) 2405 (1922–2888) .72 
 Medication 63 (45–81) 52 (41–63) .27a 
 Visits to emergency department 75 (59–91) 75 (59–91) .80a 
 Visits to walk-in clinic 69 (52–86) 89 (67–111) .22a 
 Visits to follow-up clinic 738 (700–776) 723 (686–759) .76a 
 Productivity losses 45 720 (39 559–51 881) 36 467 (30 918–42 016) .03a 
Total birth to 18 mo CA 217 245 (196 494–237 995) 217 624 (197 697–237 551) .74 
Costs (2015 CAD)PTF (n = 182)DHM (n = 181)P
Total birth to discharge 169 409 (151 138–187 680) 177 085 (158 971–195 200) .40 
 Hospital case cost 147 303 (131 210–163 397) 154 710 (138 118–171 302) .37 
 Physician 8522 (7874–9171) 8873 (8216–9530) .42 
 Enteral feeds 41 (36–47) 921 (741–1100) <.0001 
 Caregiver expenses 15 404 (12 009–18 800) 13 801 (11 768–15 835) .15 
  Productivity losses 12 148 (9 019–15 277) 10 223 (8507–11 939) .23a 
  Household help 94 (18–169) 163 (63–264) .52a 
  Child care 164 (68–260) 278 (116–439) .67a 
  Accommodation 160 (27–293) 202 (87–317) .64a 
  Meals 949 (754–1144) 1 036 (796–1276) .78a 
  Breast pump 267 (229–305) 261 (228–293) .58a 
  Travel 1505 (1291–1718) 1530 (1321–1740) .74a 
  Other 14 (5–23) 26 (0–60) .47a 
Total postdischarge to 18 mo CA 55 102 (48 269–61 934) 46 440 (40 648–52 233) .04a 
 Re-hospitalization 6050 (2951–9148) 6632 (4140–9123) .80a 
 Visits to health care professional 2389 (1837–2942) 2405 (1922–2888) .72 
 Medication 63 (45–81) 52 (41–63) .27a 
 Visits to emergency department 75 (59–91) 75 (59–91) .80a 
 Visits to walk-in clinic 69 (52–86) 89 (67–111) .22a 
 Visits to follow-up clinic 738 (700–776) 723 (686–759) .76a 
 Productivity losses 45 720 (39 559–51 881) 36 467 (30 918–42 016) .03a 
Total birth to 18 mo CA 217 245 (196 494–237 995) 217 624 (197 697–237 551) .74 

Costs are presented as mean (95% CI). Cost differences (total and component) between groups were analyzed by GEE adjusted for clustering at recruitment site and birth weight strata (<1000, ≥1000 g) unless indicated otherwise.

a

Costs between groups were analyzed by nonparametric regression analyses.

Formal health care sector medical costs incurred for each infant during their initial hospital stay were secured from the finance departments of all tertiary NICUs where >80% of initial hospitalization costs occurred and 12 of 17 community NICUs. Hospitals in the province of Ontario, Canada follow a standardized costing methodology developed by the Ontario Case Costing Initiative (OCCI).19 Formal health care medical costs captured in this system include expenditures associated with professional salaries (eg, nursing and other allied health but not physician), surgery, laboratory services, diagnostic imaging, and pharmacy. Indirect costs incurred by institutions, such as administration, human resources, and plant operations were allocated to each infant based on length of stay. Infant-specific health care costs were unavailable from 5 participating community NICUs because the OCCI standardized accounting system was not fully implemented. For these centers, a per diem cost was imputed by using mean costs calculated from the other 12 community NICUs, matching for the infant’s gestational age at birth to the nearest week.

Physician costs, not captured as part of OCCI, were calculated by using Ontario fee schedules.20 Costs of enteral feeds were calculated by applying DHM, fortifier, and formula unit prices to volumes and recipes of feeds recorded daily. The unit cost of DHM used in our analysis was $4.95 Canadian dollars (CAD) per ounce; the cost of DHM purchased for the study adjusted to 2015 CAD. At the time of the study, most participating hospitals received fortifier and formula free of charge from vendors. To capture costs from a societal perspective, we used the price for formula and fortifier paid by 1 of our community NICUs participating in the Baby Friendly Initiative.21 The cost of bovine-based PTF, for example, was $0.13 CAD per ounce. The cost to fortify one ounce of human milk was $0.14 CAD per ounce.

A standardized Family Health Economic Questionnaire, previously employed by the investigators, was used to calculate caregiver informal health sector and nonhealth sector costs, including transportation to the hospital, meals away from home, and labor market earnings lost.22,23 

This questionnaire was completed monthly by parents from the time of birth up to 18 months’ CA when either visiting their child in the NICU or by telephone with research staff.

Family Health Economic questionnaires were also used to capture the frequency of re-hospitalizations, medical or follow-up clinic visits, health care professional visits, prescription and over-the-counter medications, as well as reported loss of caregivers’ labor market earnings. Physician and other health care professional costs incurred postdischarge were calculated by using the province of Ontario fee schedules.20 If an appropriate fee schedule was unavailable, costs were estimated by using average provincial wages posted on regulatory college and government Web sites. Costs of medications were assigned by using provincial reimbursement rates.24 Costs of re-hospitalization were calculated based on the mean cost per episode, as defined by the principal reason for admission by using the OCCI database.19 

If families were unavailable by telephone after discharge to complete the questionnaire, they were approached at their infant’s routine neonatal follow-up visits at 4, 8, 12, and 18 months’ CA. In situations in which Family Health Economic questionnaires were incomplete, a mean per diem cost for the infant was imputed based on the mean costs from infants with complete data matched by family’s income. At least some costing data were available on all infants in the study. Formal health care sector (medical) costs not requiring any imputation for missing days were available for 240 infants for their entire initial hospitalization and 361 for their tertiary NICU stay (Supplemental Fig 3). Complete cost data not requiring imputation were available for 223 infants from birth to 18 months’ CA.

Statistical analyses were conducted by using SAS Version 9.4 (SAS Institute, Inc, Cary, NC) using an intent-to-treat approach. All statistical tests were 2-tailed and P < .05 was considered statistically significant. Costs are reported in 2015 CAD. In 2015, 1.00 CAD was equivalent to 0.78 US dollars. Comparisons of clinical outcomes between groups were conducted by using Cochran–Mantel–Haenszel statistics with adjustment for site for categorical variables. For continuous outcomes, linear regression statistics adjusted for recruitment site and birth weight stratum (<1000 or ≥1000 g) or Wilcoxon rank tests for nonnormally distributed data were conducted.

Comparison of log-transformed mean total and cost components between groups were performed by using generalized estimating equation (GEE) adjusting for repeated measures taken at the same recruitment site and birth weight stratum. For comparing individual expense categories with a large number of 0 values (eg, hospital readmissions), repeated-measures nonparametric modeling (PROC MIXED, SAS) was used.

To assess sampling uncertainty in estimates of cost-effectiveness, we randomly sampled 1000 times with replacement all 363 subjects in the original data set to obtain 363 pairs of costs and effects (eg, NEC). For each of the 1000 samples, the mean costs and effects were plotted (eg, Fig 1) and the incremental cost-effectiveness ratio (iCER) was calculated. Specifically, iCER is the difference in the mean total cost between infants randomly assigned to the DHM and PTF groups divided by the difference in mean effectiveness (eg, NEC) between groups. We report sampling uncertainty using a cost-effectiveness acceptability curve (CEAC) (Fig 2),25,26 which illustrates the probability that the intervention would be cost-effective given a willingness-to-pay threshold from $0 to $600 000 per case of NEC prevented.

FIGURE 1

Scatterplot showing differences in mean costs and effects (NEC) between DHM and PTF groups using the following: (A) a birth to 18 months’ CA and (B) a birth to discharge time horizon. Each point represents 1 simulated cohort or bootstrap replication, as described in the text. Most of the 1000 points are on the northeast and southeast quadrants of the graph, indicating that although supplemental DHM was more effective at reducing NEC than PTF, there was no clear difference in cost.

FIGURE 1

Scatterplot showing differences in mean costs and effects (NEC) between DHM and PTF groups using the following: (A) a birth to 18 months’ CA and (B) a birth to discharge time horizon. Each point represents 1 simulated cohort or bootstrap replication, as described in the text. Most of the 1000 points are on the northeast and southeast quadrants of the graph, indicating that although supplemental DHM was more effective at reducing NEC than PTF, there was no clear difference in cost.

FIGURE 2

CEAC for DHM compared with PTF by using a birth to 18 months’ CA time horizon. The curve shows the proportion of bootstrap replications in which the cost-effectiveness of DHM was at or below the willingness-to-pay thresholds on the horizontal axis. This corresponds to the probability that the therapy would be economically desirable to decision-makers with those thresholds.

FIGURE 2

CEAC for DHM compared with PTF by using a birth to 18 months’ CA time horizon. The curve shows the proportion of bootstrap replications in which the cost-effectiveness of DHM was at or below the willingness-to-pay thresholds on the horizontal axis. This corresponds to the probability that the therapy would be economically desirable to decision-makers with those thresholds.

Parameter uncertainty was assessed by using sensitivity analyses, in which the cost components were calculated first excluding infants who received exclusively mother’s milk during the intervention (Supplemental Table 6) and second excluding infants who had incomplete Family Health Economic questionnaires (Supplemental Table 7). Additional sensitivity analyses included calculation of the iCER using a range of plausible costs for DHM ($3.00–$7.60 per ounce), formal health care sector medical costs (initial and readmission), physician fees from birth to 18 months’ CA (70%–130%), and caregiver wages to reflect the Ontario minimum wage and national Canadian wage,27,28 and NEC stage ≥ II instead of NEC stage ≥ I as the health outcome (Table 3).

TABLE 3

Deterministic Sensitivity Analyses for the Cost-effectiveness Ratio From Birth to 18 Months’ CA From a Societal Perspective

ParameterIncremental CostiCER (% Dominant)
Cost Base case analysis (n = 363) 379 5328 (47.9) 
Hospital and physician fees (birth to discharge)   
 Increased by 30% 2707 38 005 (42.7) 
 Decreased by 30% −1948 −27 350 (56.8) 
Hospital and physician fees (birth to 18 mo CA)   
 Increased by 30% 2878 40 409 (43.7) 
 Decreased by 30% −2119 −29 753 (56.4) 
DHM (CAD per ounce)   
 $3.00 −401 −5632 (49.2) 
 $4.00 225 3159 (51.8) 
 $6.00 534 7496 (47.4) 
 $7.60 3036 42 636 (44.8) 
Hourly wage   
 2015 national average: $27.59 8692 122 053 (29.2) 
 2015 Ontario minimum: $11.25 9238 129 721 (21.0) 
Effect NEC stage ≥ IIa 379 7687 (48.9) 
ParameterIncremental CostiCER (% Dominant)
Cost Base case analysis (n = 363) 379 5328 (47.9) 
Hospital and physician fees (birth to discharge)   
 Increased by 30% 2707 38 005 (42.7) 
 Decreased by 30% −1948 −27 350 (56.8) 
Hospital and physician fees (birth to 18 mo CA)   
 Increased by 30% 2878 40 409 (43.7) 
 Decreased by 30% −2119 −29 753 (56.4) 
DHM (CAD per ounce)   
 $3.00 −401 −5632 (49.2) 
 $4.00 225 3159 (51.8) 
 $6.00 534 7496 (47.4) 
 $7.60 3036 42 636 (44.8) 
Hourly wage   
 2015 national average: $27.59 8692 122 053 (29.2) 
 2015 Ontario minimum: $11.25 9238 129 721 (21.0) 
Effect NEC stage ≥ IIa 379 7687 (48.9) 
a

The cost-effectiveness ratio was calculated in relation to NEC stage ≥II instead of NEC of any stage.

Detailed description of progress of infants through the trial and clinical outcomes were previously published.14 Briefly, of 363 infants enrolled, the mean ± SD gestational age and weight at birth was 27.7 ± 2.6 weeks and 996 ± 272 g, respectively (Table 1). Infants born <1250 g comprised 75.8% (n = 275) of those enrolled and 12.4% (n = 45) were born small for gestational age. No statistically significant differences were found between infants randomly assigned to the DHM and PTF group with respect to the number of days they remained in the feeding intervention or mother’s milk use (Table 1). As previously reported, there were no statistically significant differences between infants randomly assigned to the DHM versus PTF group in adjusted composite cognitive (92.9 [95% CI, 89.8 to 95.9] and 94.5 [91.4 to 97.5]), language (87.3 [95% CI, 83.8 to 90.8] and 90.3 [95% CI, 86.7 to 93.9]), motor (91.8 [95% CI, 88.8 to 94.9] and 94.0 [95% CI, 91.0 to 97.0]) scores on the Bayley-III at 18 months’ CA. There were no differences in major clinical outcomes during initial hospitalization except for the incidence of NEC.

Considering all randomly assigned infants, mean total cost accrued from a societal perspective from birth to 18 months’ CA in the DHM group was $217 624 ($197 697–$237 551) and did not differ statistically from $217 245 ($196 494–$237 995) in the PTF group (P = .74) (Table 2). Likewise, infants randomly assigned to the DHM and PTF group had similar total initial hospitalization costs (P = .40). Examination of postdischarge to 18 months’ CA costs revealed lower costs for infants randomly assigned to the DHM versus PTF group (P = .04). Postdischarge, caregivers of infants randomly assigned to the DHM group had significantly lower productivity losses than infants randomly assigned to the PTF group (P = .03).

Using an 18-month time horizon, cost-effectiveness analysis revealed that DHM cost slightly more on average and had higher effectiveness (Table 4). Figure 1 illustrates the distribution of the differences in costs and effects between treatment groups using either a birth to 18-month time horizon (Fig 1A) or birth to discharge time horizon (Fig 1B) in which each point on the graphs represents a single bootstrap replication. As shown, a preponderance of replications in both figures are found on the right side indicating DHM was, on average, protective against NEC. In addition, Fig 1A reveals a 52.1% chance that DHM was more expensive using an 18-month time horizon. When the time horizon was restricted to initial hospitalization, there was a 71.7% chance that DHM was more costly and more effective in reducing NEC and a 28.0% chance that DHM would result in cost-savings and be more effective (ie, “dominant”).

TABLE 4

The iCER, Calculated by Using a Birth to 18 Months’ CA Time Horizon and a Societal Perspective

InterventionMean Cost, CAD∆CProportion of Cases of NEC, E∆EiCER, ∆C/∆E
DHM (n = 181) 217 624 379 0.03867 0.07122 5328 
PTF (n = 182) 217 245 — 0.10989 — 
InterventionMean Cost, CAD∆CProportion of Cases of NEC, E∆EiCER, ∆C/∆E
DHM (n = 181) 217 624 379 0.03867 0.07122 5328 
PTF (n = 182) 217 245 — 0.10989 — 

—, not applicable.

Examination of the CEAC, however, reveals broad uncertainty in the estimation of the cost-effectiveness ratio (Fig 2). The CEAC shows the probability that an intervention is acceptable at various thresholds of willingness to pay for an outcome. There is a 67% probability that the therapy is acceptable to a decision-maker with a threshold of $100 000 per case of NEC prevented. Using a threshold that is analogous to the traditional upper limit of a CI, there is a 95% probability that DHM would be acceptable to a decision-maker whose threshold is $540 000 per case of NEC prevented.

Calculated total costs and iCER estimates were sensitive to hospitalization costs, physician fees, and the cost of DHM and caregiver wages (Table 3). If hospitalization and physician fees from birth to 18 months’ CA were reduced to 70% of the base case estimate, DHM would result in a mean cost-savings of $2119. Similarly, when the unit price of DHM was decreased to $3.00 per ounce, DHM would result in lower costs compared with PTF. In a separate sensitivity analysis, we re-ran the cost comparison analyses in the sample of infants with complete cost data to 18 months’ CA (n = 223, Supplemental Table 7). As illustrated, total costs from birth to 18 months’ CA remain similar between groups.

In this prospective cost-effectiveness analysis conducted for a RCT, the total costs of using DHM as a supplement to mother’s milk did not differ from PTF from a societal perspective to 18 months’ CA. Our data suggest that it would cost ∼$5328 (2015 CAD) per case of NEC averted to provide supplemental DHM; however, it should be emphasized that there was broad uncertainty around this estimate. In fact, formal analysis of this uncertainty suggests that there is only a 48% probability that DHM was simultaneously more effective and less costly than PTF in preventing NEC using a birth to 18-months’ CA time horizon (Fig 1A), and only a 67% probability that the intervention would be acceptable to decision-makers who were willing to spend $100 000 to prevent one case of NEC.

Interestingly, when comparison of total costs was restricted to postdischarge, there was a statistically significant cost advantage of using DHM as a supplement (Table 2). However, this difference was no longer statistically significant in sensitivity analyses in which exclusively mother’s milk-fed infants were removed (Supplemental Table 6). The difference in the base case analysis appeared to be mediated by lower productivity losses as a result of caring for their infant. Because there were no differences in the number of visits to health care professionals or hospital readmissions between treatments, we speculate that infants in the PTF group may have been slightly more fragile, requiring a parent to stay home from work but not so ill they required incrementally more medical attention.

Our findings differ from estimates of cost-savings associated with using DHM instead of PTF reported in the literature.10,12 Arnold10,11 suggested potential cost-savings associated with DHM in both a case study of a formula-intolerant preterm infant with severe bronchopulmonary dysplasia whose mother was unable to provide breast milk and, in a second paper, using 3 modeling exercises based on assumptions of reduction in length of stay and of NEC. Similarly, Wight12 estimated direct hospital cost-savings of supplemental DHM versus PTF for VLBW infants using published clinical findings from a single-site RCT and actual cost-estimates of different components of care from a different center.29 DHM was assumed to be as effective as mother’s milk compared with PTF in preventing NEC and sepsis and shortening length of stay; DHM was not studied in this trial. In 2 other retrospective studies, authors also showed cost-saving associated with the use of human milk-based milk fortifiers to achieve an exclusive human milk diet.30,31 Although the aforementioned cost-estimates spurred interest in DHM research and helped to engage administrators in a discussion of the merits of DHM, the risk of bias associated with these modeling and retrospective approaches is high and does not consider all costs associated with preterm birth.

There are a number of strengths of the current study. This is the first prospective cost-effectiveness analysis of DHM alongside a blinded RCT, and involved comprehensive analysis of infant-level costs. This experimental approach to health policy minimizes bias, optimizes internal validity, and permits simultaneous consideration of actual cost and effect distributions without the assumptions inherent in modeling studies. Moreover, unlike most formal economic evaluations in the neonatal trial literature, this analysis took a societal perspective, in which an attempt was made to capture all costs related to preterm birth to 18 months’ CA, including parental out-of-pocket expenses. In addition to being significant contributors to the validity of our cost estimates, the measurement of such costs highlights the high financial burden accruing to parents of preterm infants in general.

Despite the substantial protections against bias, certain limitations must be acknowledged. First, our study was undertaken in a single Canadian urban area, and the extent to which the results are generalizable to other settings in which mother’s milk feeding or costs might differ is uncertain. Of note, sensitivity analysis does show that the cost advantage postdischarge for DHM is not significant when exclusively mother’s milk-fed infants were removed from consideration, although there were minimal changes seen with other sensitivity analyses. A second limitation concerns the reliance on caregivers to recall out-of-pocket expenses and certain other health resource use; however, the monthly questionnaire administration is much more frequent than most other prospective economic evaluations in the neonatology literature, and would likely have minimized this problem.

In a high mother’s milk use setting, total costs from a societal perspective to 18 months’ CA of providing DHM as a supplement compared with PTF did not differ. Although the total costs were similar, supplemental DHM reduced the risk of NEC compared with supplemental PTF. Given the short- and long-term sequelae associated with NEC, and an additional cost of only $5328 per case of NEC averted, use of DHM over PTF as supplement is justified. Given the observation of cost-savings after hospital discharge associated with supplemental DHM, further exploration of the impact of early supplemental feeding on health outcomes and family costs after discharge is warranted.

     
  • Bayley-III

    Bayley Scales of Infant and Toddler Development, Third Edition

  •  
  • CA

    corrected age

  •  
  • CAD

    Canadian dollars

  •  
  • CEAC

    cost-effectiveness acceptability curve

  •  
  • CI

    confidence interval

  •  
  • DHM

    donor human milk

  •  
  • GEE

    generalized linear modeling

  •  
  • iCER

    incremental cost-effectiveness ratio

  •  
  • IQR

    interquartile range

  •  
  • NEC

    necrotizing enterocolitis

  •  
  • OCCI

    Ontario Case Costing Initiative

  •  
  • PTF

    preterm formula

  •  
  • RCT

    randomized control trial

  •  
  • VLBW

    very low birth weight

Ms Trang participated in data collection, conducted the analysis, and drafted the initial manuscript; Dr Zupancic conceptualized and designed the study, advised data analysis, and reviewed and revised the manuscript; Dr Unger conceptualized and designed the study, participated in subject recruitment and data collection, and reviewed and revised the manuscript; Dr Kiss supervised statistical analyses, reviewed and revised the manuscript; Ms Bando participated in subject recruitment and data collection, audited hospitalization cost data, and reviewed and revised the manuscript; Ms Wong participated in subject recruitment and data collection, and reviewed and revised the manuscript; Dr Gibbins conceptualized and designed the study, participated in data collection, and reviewed and revised the manuscript; Dr O’Connor conceptualized and designed the study, coordinated and supervised data collection and analysis, drafted the initial manuscript, and reviewed and revised the manuscript; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

This trial has been registered with the ISRCTN Register (www.isrctn.com) (identifier ISRCTN35317141).

FUNDING: Funded by the Canadian Institutes of Health Research (grants MOP 102638 and FDN 143233) and the Ontario Ministry of Health and Long-Term Care (grant 06465).

Additional members of the GTA DoMINO Feeding Group are as follows: Andrea Nash (Sunnybrook Health Sciences Centre, Toronto, Canada); Michael Jory, Joanne Rovet, and Christopher Tomlinson (The Hospital for Sick Children, Toronto, Canada); Kirsten Kotsopoulos and Karel O’Brien (Mount Sinai Hospital, Toronto, Canada); Anwar Asady, Ann Bayliss, and Sandra Gabriele (Trillium Health Partners, Mississauga, Canada); Shirley Sit and Sue Ekserci (Humber River Hospital, Toronto, Canada); Mahmud AlMadani (Lakeridge Health, Toronto, Canada); Munesh Singh (Markham Stouffville Hospital, Markham, Canada); Shaheen Doctor (North York General Hospital, North York, Canada); Debbie Stone (Rogers Hixon Ontario Human Milk Bank, Toronto, Canada); Karen Chang (Rouge Valley Health System, Toronto, Canada); Peter Azzopardi (The Scarborough Hospital, Scarborough, Canada); David Gryn (Mackenzie Health, Richmond Hill, Canada); Jelena Popovic (Michael Garron Hospital, East York, Canada); Debby Arts-Rodas (St Joseph’s Health Centre, Toronto, Canada); Carol Williams and Charmaine van Schaik (Southlake Regional Health Centre, Newmarket, Canada); Ilona Burkot and Judy Gibson-Stoliar (William Osler Health System, Brampton and Etobicoke, Canada). Members of the Data and Safety Monitoring Committee are as follows: Frank Greer (chair) MD, Professor Emeritus, Department of Pediatrics, University of Wisconsin School of Medicine and Public Health (Madison, WI); Sharon Groh-Wargo, PhD, RD, Professor, Nutrition and Pediatrics and Senior Nutritionist, Case Western Reserve University at MetroHealth Medical Center (Cleveland, OH); Ardythe Morrow, PhD, Director, Center for Interdisciplinary Research in Human Milk and Lactation Global Health Center, Professor, Department of Pediatrics, University of Cincinnati (Cincinnati, OH).

We thank the study families for their participation and ongoing support of this work. We acknowledge the Human Milk Banking Association of North America, specifically the Mother’s Milk Bank of Ohio and the NorthernStar Mothers’ Milk Bank in Calgary, Alberta for providing the DHM for this study.

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Competing Interests

POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.

FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose.

Supplementary data