Respiratory syncytial virus (RSV) causes significant respiratory illnesses in young children, with 3.2 million hospitalizations and 59 600 deaths globally among children aged younger than 6 years in 2015.1 Nirsevimab, a monoclonal antibody that reduces infant RSV-related morbidity,2 became available in October 2023. Infants aged <8 months could receive nirsevimab if their mother did not receive RSV vaccine >14 days before birth.3 High-risk infants ages 8 to 19 months were also eligible, though were not initially prioritized given nirsevimab’s limited availability.4
Understanding which primary care practices and patient populations are likely to be early adopters of a new immunization can inform future distribution, outreach, and education to promote health equity. The purpose of this study, conducted after the initial rollout of nirsevimab in Massachusetts, was to understand: (1) differences between primary care offices that offered nirsevimab and those that did not and (2) demographic differences between infants aged <8 months who received nirsevimab and those who did not.
Methods
Using electronic health record data from a statewide pediatric primary care network of 79 practices that care for ∼400 000 children in Massachusetts, practice and patient characteristics between October 7, 2023, and November 30, 2023, were analyzed. Eligible infants were active patients ≤8 months of age as of November 30, 2023, with at least 1 office visit. When comparing offices that carried nirsevimab to those that did not, we controlled for practice characteristics (size, urban/suburban location, number of eligible patients, and provider age, sex, and type) and patient characteristics (age in weeks, sex, insurance, race/ethnicity, preferred language, income quartile by ZIP code, and medical complexity). Within practices offering nirsevimab, we compared patients who did and did not receive nirsevimab by November 30, 2023, controlling for all patient characteristics. Race/ethnicity were self-reported and included as they have been shown to be associated with differences in childhood vaccination rates.5 Risk ratios (RRs) were calculated using a bivariable log-binomial model, a generalized linear model for a binomial outcome with a log-link function, for each characteristic. Adjusted RRs were calculated using a multivariable log-binomial model. Individual patient characteristic comparisons accounted for patient practice as a fixed effect. All data were analyzed using SAS 9.4 (SAS Institute, Cary, North Carolina). The Boston Children’s Hospital institutional review board approved this study.
Results
Practices offering nirsevimab were larger (compared with small practices, RR, 2.12; 95% confidence interval [CI], 1.15–3.92) for medium practices and 2.12 (1.16–3.90) for large; Table 1), had lower proportions of publicly insured patients (compared with commercially insured; RR, 0.97 [0.95–0.98]), and had lower proportions of patients living in lower income ZIP codes (compared with highest quartile; RR, 0.93 [0.91–0.95], 0.89 [0.87–0.91], 0.86 [0.84–0.88] for second through fourth quartiles, respectively). Within practices administering nirsevimab, 47.3% of eligible patients received it. Factors negatively associated with nirsevimab receipt were older age (RR, 0.98 [0.97–0.99] per 1-week increase; Table 2), public insurance (RR, 0.76 [0.69–0.84]), and living in lower income ZIP codes (compared with highest quartile, RR, 0.90 [0.81–0.99] and 0.82 [0.67–0.99] for third and fourth quartiles, respectively). Factors positively associated with receipt of nirsevimab were non-English as a preferred language (RR, 1.10 [1.01–1.19]) and medical complexity (compared with no chronic disease; RR, 1.14 [1.06–1.23] and 1.24 [1.11–1.38] for noncomplex chronic disease and complex chronic disease, respectively).
Comparison of Patient Panel Demographics and Practice Characteristics of Practices That Administered or Did Not Administer Nirsevimab
. | Practices That Administered Nirsevimab (n = 52 Practices, 441 Providers) . | Practices That Did Not Administer Nirsevimab (n = 27 Practices, 151 Providers) . | Bivariable (Unadjusted Relative Risk, 95% Confidence Interval) . | Multivariablea (Adjusted Relative Risk, 95% Confidence Interval) . |
---|---|---|---|---|
Practice characteristics | ||||
Practice size | ||||
Small (≤2 providers) | 7 (14%) | 12 (44%) | Reference | |
Medium (3–7 providers) | 21 (40%) | 8 (30%) | 1.97 (1.05–3.69) | 2.12 (1.15–3.92) |
Large (≥8 providers) | 24 (46%) | 7 (26%) | 2.10 (1.13–3.90) | 2.12 (1.16–3.90) |
Practice location | ||||
Suburban | 35 (67%) | 14 (52%) | Reference | |
Urban | 17 (33%) | 13 (48%) | 0.75 (0.52–1.08) | 0.71 (0.51–0.99) |
Provider characteristics | ||||
Provider median age, y | 49 | 50 | 1 (0.996–1.003) | 1 (0.994–1.004) |
Provider sex | ||||
Male | 77 (18%) | 32 (21%) | Reference | |
Female | 364 (82%) | 119 (79%) | 1.08 (0.94–1.23) | 1.15 (0.97–1.36) |
Provider type | ||||
Physician | 293 (66%) | 103 (68%) | Reference | |
NP/PA | 148 (34%) | 48 (32%) | 1.02 (0.92–1.12) | 0.91 (0.80–1.03) |
Patient characteristics | ||||
Number of eligible patients | 8793 | 3218 | ||
Median age (IQR), weeks | 18 | 18 | 1 (0.999–1.001) | 1 (0.999–1.001) |
Sex | ||||
Male | 4565 (52%) | 1695 (53%) | Reference | |
Female | 4228 (48%) | 1521 (47%) | 1.01 (0.99–1.03) | 1 (0.99–1.02) |
Insurance status | ||||
Commercially insured | 6624 (75%) | 2000 (62%) | Reference | |
Publicly insured | 2169 (25%) | 1218 (38%) | 0.83 (0.8–0.86) | 0.97 (0.95–0.98) |
Race/ethnicity | ||||
Asian, non-Hispanic | 426 (5%) | 85 (3%) | 1.09 (1.04–1.13) | 1.02 (0.99–1.05) |
Black, non-Hispanic | 260 (3%) | 105 (3%) | 0.93 (0.87–0.99) | 1.02 (0.98–1.06) |
Hispanic | 1162 (13%) | 315 (10%) | 1.02 (0.99–1.06) | 1.05 (1.03–1.08) |
Multiracial/another race | 371 (4%) | 97 (3%) | 1.03 (0.98–1.08) | 1.01 (0.98–1.05) |
Unknown | 2344 (27%) | 1337 (42%) | 0.83 (0.81–0.85) | 0.95 (0.93–0.97) |
White, non-Hispanic | 4230 (48%) | 1279 (40%) | Reference | |
Preferred language | ||||
English | 8025 (91%) | 2936 (91%) | Reference | |
Non-English | 768 (9%) | 282 (9%) | 1.00 (0.96–1.04) | 1.02 (1.00–1.05) |
Income quartile by ZIP codeb | ||||
>$120 000 | 2005 (23%) | 142 (4%) | Reference | |
$100 000–$120 000 | 2239 (26%) | 607 (19%) | 0.84 (0.82–0.86) | 0.93 (0.91–0.95) |
$75 000–$100 000 | 2175 (25%) | 962 (30%) | 0.74 (0.72–0.76) | 0.89 (0.87–0.91) |
<$75 000 | 2320 (27%) | 1505 (47%) | 0.65 (0.63–0.67) | 0.86 (0.84–0.88) |
PMCA categoryc | ||||
No chronic disease | 7810 (89%) | 2942 (91%) | Reference | |
Non-complex chronic disease | 767 (9%) | 216 (7%) | 1.08 (1.04–1.11) | 1.02 (0.99–1.04) |
Chronic complex disease | 216 (3%) | 60 (2%) | 1.07 (1.01–1.14) | 1.03 (0.98–1.07) |
. | Practices That Administered Nirsevimab (n = 52 Practices, 441 Providers) . | Practices That Did Not Administer Nirsevimab (n = 27 Practices, 151 Providers) . | Bivariable (Unadjusted Relative Risk, 95% Confidence Interval) . | Multivariablea (Adjusted Relative Risk, 95% Confidence Interval) . |
---|---|---|---|---|
Practice characteristics | ||||
Practice size | ||||
Small (≤2 providers) | 7 (14%) | 12 (44%) | Reference | |
Medium (3–7 providers) | 21 (40%) | 8 (30%) | 1.97 (1.05–3.69) | 2.12 (1.15–3.92) |
Large (≥8 providers) | 24 (46%) | 7 (26%) | 2.10 (1.13–3.90) | 2.12 (1.16–3.90) |
Practice location | ||||
Suburban | 35 (67%) | 14 (52%) | Reference | |
Urban | 17 (33%) | 13 (48%) | 0.75 (0.52–1.08) | 0.71 (0.51–0.99) |
Provider characteristics | ||||
Provider median age, y | 49 | 50 | 1 (0.996–1.003) | 1 (0.994–1.004) |
Provider sex | ||||
Male | 77 (18%) | 32 (21%) | Reference | |
Female | 364 (82%) | 119 (79%) | 1.08 (0.94–1.23) | 1.15 (0.97–1.36) |
Provider type | ||||
Physician | 293 (66%) | 103 (68%) | Reference | |
NP/PA | 148 (34%) | 48 (32%) | 1.02 (0.92–1.12) | 0.91 (0.80–1.03) |
Patient characteristics | ||||
Number of eligible patients | 8793 | 3218 | ||
Median age (IQR), weeks | 18 | 18 | 1 (0.999–1.001) | 1 (0.999–1.001) |
Sex | ||||
Male | 4565 (52%) | 1695 (53%) | Reference | |
Female | 4228 (48%) | 1521 (47%) | 1.01 (0.99–1.03) | 1 (0.99–1.02) |
Insurance status | ||||
Commercially insured | 6624 (75%) | 2000 (62%) | Reference | |
Publicly insured | 2169 (25%) | 1218 (38%) | 0.83 (0.8–0.86) | 0.97 (0.95–0.98) |
Race/ethnicity | ||||
Asian, non-Hispanic | 426 (5%) | 85 (3%) | 1.09 (1.04–1.13) | 1.02 (0.99–1.05) |
Black, non-Hispanic | 260 (3%) | 105 (3%) | 0.93 (0.87–0.99) | 1.02 (0.98–1.06) |
Hispanic | 1162 (13%) | 315 (10%) | 1.02 (0.99–1.06) | 1.05 (1.03–1.08) |
Multiracial/another race | 371 (4%) | 97 (3%) | 1.03 (0.98–1.08) | 1.01 (0.98–1.05) |
Unknown | 2344 (27%) | 1337 (42%) | 0.83 (0.81–0.85) | 0.95 (0.93–0.97) |
White, non-Hispanic | 4230 (48%) | 1279 (40%) | Reference | |
Preferred language | ||||
English | 8025 (91%) | 2936 (91%) | Reference | |
Non-English | 768 (9%) | 282 (9%) | 1.00 (0.96–1.04) | 1.02 (1.00–1.05) |
Income quartile by ZIP codeb | ||||
>$120 000 | 2005 (23%) | 142 (4%) | Reference | |
$100 000–$120 000 | 2239 (26%) | 607 (19%) | 0.84 (0.82–0.86) | 0.93 (0.91–0.95) |
$75 000–$100 000 | 2175 (25%) | 962 (30%) | 0.74 (0.72–0.76) | 0.89 (0.87–0.91) |
<$75 000 | 2320 (27%) | 1505 (47%) | 0.65 (0.63–0.67) | 0.86 (0.84–0.88) |
PMCA categoryc | ||||
No chronic disease | 7810 (89%) | 2942 (91%) | Reference | |
Non-complex chronic disease | 767 (9%) | 216 (7%) | 1.08 (1.04–1.11) | 1.02 (0.99–1.04) |
Chronic complex disease | 216 (3%) | 60 (2%) | 1.07 (1.01–1.14) | 1.03 (0.98–1.07) |
Practices were considered to have nirsevimab if they had at least 1 administration of the immunization documented. Eligible patients were those <8 mo of age as of November 30, 2023, with at least 1 visit at an in-network practice since birth. NP, nurse practitioner; PA, physician assistant.
The variables in each section of the table (practice characteristics, provider characteristics, patient characteristics) are adjusted for the variables in that same section.
Median household income quartile was calculated using ZIP code data from the US Census and the 2022 American Community Survey for each patient’s home ZIP code.
Pediatric Medical Complexity Algorithm.10
Patient Demographics of Eligible Infants in Practices That Administered Nirsevimab
. | Nirsevimab Received (n = 4162) . | Nirsevimab Not Received (n = 4631) . | Bivariable Analysis (Unadjusted Relative Risk, 95% Confidence Interval) . | Multivariable Analysis (Adjusted Relative Risk, 95% Confidence Interval) . |
---|---|---|---|---|
Median age (IQR), wk | 14 | 21 | 0.98 (0.97–0.99) | 0.98 (0.97–0.99) |
Sex | ||||
Male | 2182 (53%) | 2383 (52%) | Reference | |
Female | 1980 (48%) | 2248 (49%) | 0.98 (0.95–1.01) | 0.98 (0.95–1.02) |
Insurance status | ||||
Commercially insured | 3424 (82%) | 3200 (69%) | Reference | |
Publicly insured | 738 (18%) | 1431 (31%) | 0.66 (0.59–0.75) | 0.76 (0.69–0.84) |
Race/ethnicity | ||||
Asian | 222 (5%) | 204 (4%) | 1.05 (0.93–1.20) | 1.02 (0.90–1.14) |
Black, non-Hispanic | 110 (3%) | 150 (3%) | 0.85 (0.71–1.03) | 1.01 (0.87–1.17) |
Hispanic | 438 (11%) | 724 (16%) | 0.76 (0.64–0.91) | 0.92 (0.78–1.09) |
Another race/multiracial | 216 (5%) | 155 (3%) | 1.18 (1.01–1.37) | 1.16 (1.04–1.30) |
Unknown | 1082 (26%) | 1262 (27%) | 0.93 (0.83–1.05) | 0.91 (0.83–0.99) |
White, non-Hispanic | 2094 (50%) | 2136 (46%) | Reference | |
Preferred language | ||||
English | 3825 (92%) | 4200 (91%) | Reference | |
Non-English | 357 (8%) | 431 (9%) | 0.92 (0.79–1.07) | 1.10 (1.01–1.19) |
Income quartile by ZIP codea | ||||
>$120 000 | 1088 (26%) | 917 (20%) | Reference | |
$100 000–$120 000 | 1194 (29%) | 1045 (23%) | 0.98 (0.88–1.10) | 0.99 (0.90–1.09) |
$75 000–$100 000 | 976 (24%) | 1199 (26%) | 0.83 (0.73–0.94) | 0.90 (0.81–0.99) |
<$75 000 | 873 (21%) | 1447 (31%) | 0.69 (0.55–0.87) | 0.82 (0.67–0.99) |
PMCA categoryb | ||||
No chronic disease | 3675 (88%) | 4135 (89%) | Reference | |
Non-complex chronic disease | 368 (9%) | 399 (9%) | 1.02 (0.92–1.12) | 1.14 (1.06–1.23) |
Chronic complex disease | 119 (3%) | 97 (2%) | 1.17 (1.04–1.32) | 1.24 (1.11–1.38) |
. | Nirsevimab Received (n = 4162) . | Nirsevimab Not Received (n = 4631) . | Bivariable Analysis (Unadjusted Relative Risk, 95% Confidence Interval) . | Multivariable Analysis (Adjusted Relative Risk, 95% Confidence Interval) . |
---|---|---|---|---|
Median age (IQR), wk | 14 | 21 | 0.98 (0.97–0.99) | 0.98 (0.97–0.99) |
Sex | ||||
Male | 2182 (53%) | 2383 (52%) | Reference | |
Female | 1980 (48%) | 2248 (49%) | 0.98 (0.95–1.01) | 0.98 (0.95–1.02) |
Insurance status | ||||
Commercially insured | 3424 (82%) | 3200 (69%) | Reference | |
Publicly insured | 738 (18%) | 1431 (31%) | 0.66 (0.59–0.75) | 0.76 (0.69–0.84) |
Race/ethnicity | ||||
Asian | 222 (5%) | 204 (4%) | 1.05 (0.93–1.20) | 1.02 (0.90–1.14) |
Black, non-Hispanic | 110 (3%) | 150 (3%) | 0.85 (0.71–1.03) | 1.01 (0.87–1.17) |
Hispanic | 438 (11%) | 724 (16%) | 0.76 (0.64–0.91) | 0.92 (0.78–1.09) |
Another race/multiracial | 216 (5%) | 155 (3%) | 1.18 (1.01–1.37) | 1.16 (1.04–1.30) |
Unknown | 1082 (26%) | 1262 (27%) | 0.93 (0.83–1.05) | 0.91 (0.83–0.99) |
White, non-Hispanic | 2094 (50%) | 2136 (46%) | Reference | |
Preferred language | ||||
English | 3825 (92%) | 4200 (91%) | Reference | |
Non-English | 357 (8%) | 431 (9%) | 0.92 (0.79–1.07) | 1.10 (1.01–1.19) |
Income quartile by ZIP codea | ||||
>$120 000 | 1088 (26%) | 917 (20%) | Reference | |
$100 000–$120 000 | 1194 (29%) | 1045 (23%) | 0.98 (0.88–1.10) | 0.99 (0.90–1.09) |
$75 000–$100 000 | 976 (24%) | 1199 (26%) | 0.83 (0.73–0.94) | 0.90 (0.81–0.99) |
<$75 000 | 873 (21%) | 1447 (31%) | 0.69 (0.55–0.87) | 0.82 (0.67–0.99) |
PMCA categoryb | ||||
No chronic disease | 3675 (88%) | 4135 (89%) | Reference | |
Non-complex chronic disease | 368 (9%) | 399 (9%) | 1.02 (0.92–1.12) | 1.14 (1.06–1.23) |
Chronic complex disease | 119 (3%) | 97 (2%) | 1.17 (1.04–1.32) | 1.24 (1.11–1.38) |
Eligible patients were those <8 mo of age as of November 30, 2023, with at least 1 visit at an in-network practice since birth. Practices were considered to have nirsevimab if they had at least 1 administration of the immunization documented. Models accounted for practice affiliation as a fixed effect. IQR, interquartile range.
Median household income quartile was calculated using ZIP code data from the US Census and the 2022 American Community Survey for each patient’s home ZIP code.
Pediatric Medical Complexity Algorithm.10
Discussion
Our analysis demonstrates differences in nirsevimab uptake across practices and patients in the early months of availability in Massachusetts. Practices not administering nirsevimab were significantly smaller and served higher proportions of publicly insured patients and those living in less affluent ZIP codes. Notably, even within practices that administered nirsevimab, there were disparities in which patients received it, with publicly insured patients and those living in less affluent ZIP codes significantly less likely to do so.
Our observation that insurance type was strongly associated with nirsevimab receipt is consistent with other data demonstrating that insurance type is a predictor of immunization.6–8 Greater receipt among more affluent patients may reflect increased awareness and acceptance by their parents, more opportunity to complete an appointment to receive it, and/or bias among administering clinicians in terms of how the immunization is discussed.
Although the restricted availability of nirsevimab in 2023 limited distribution opportunities,4 future efforts should be made to correct the potential disparities observed in our analysis. Public health officials and manufacturers could focus on increasing immunization availability to practices caring for publicly insured and economically diverse patients. Additionally, once practices have nirsevimab, outreach to less privileged families and culturally sensitive education about the benefits of immunization could avoid further perpetuating health inequalities and encourage the opportunity for immunization for all eligible infants.
Because this study exclusively examined practices in Massachusetts, findings may not be nationally generalizable. We were unable to confirm whether mothers had received an RSV vaccine; however, only 4.6% of eligible pregnant persons had received the vaccine by November 23, 2023,9 making it unlikely that maternal vaccination disqualified a significant number of infants during the study period.
Dr Abraham conceptualized and designed the study, drafted the initial manuscript, and critically reviewed and revised the manuscript; Drs Hatoun, Rabbani, and Vernacchio designed the study and critically reviewed and revised the manuscript; Ms Correa carried out the analyses and critically 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.
FUNDING: No external funding.
CONFLICT OF INTEREST DISCLOSURES: The authors have indicated they have no potential conflicts of interest to disclose.
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