To analyze factors associated with the initiation of long-acting reversible contraception (LARC) among adolescent patients in inpatient settings in the United States.
This study is a secondary data analysis of the national Kids’ Inpatient Database 2016 data (N = 4200 hospitals). Eligible patients were hospitalized girls 10 to 20 years old. The primary outcome was initiation of LARC (ie, subdermal implant and/or intrauterine device [IUD]) while hospitalized. Covariables included age, race or ethnicity, insurance type, postpregnancy status, geographic region, hospital type (rural or urban), hospital size, and children’s hospital status. Bivariable statistics were calculated by using survey-weighted analysis, and a design-based logistic regression model was used to determine the adjusted odds of LARC initiation and of implant versus IUD initiation.
LARC initiation occurred in 0.4% (n = 3706) of eligible hospital admissions (n = 874 193). There were differences in LARC initiation by patient age, insurance type, race or ethnicity, postpregnancy status, hospital type, and hospital status (all P < .01). In the adjusted model, older age, public insurance, nonwhite race or ethnicity, postpregnancy status, and urban, teaching or larger hospitals were independently associated with LARC initiation (all P < .01). Smaller hospital size and postpregnancy status increased the odds of implant versus IUD initiation after stratifying by hospital region.
LARC initiation occurred in <1% of adolescent hospitalizations, with 90% of those occurring in postpregnancy adolescents. Addressing LARC capacity in rural, nonteaching, and smaller hospitals is important in increasing access. Future research is needed to identify and close gaps in the number of adolescents desiring and initiating LARC in hospital settings.
Although the adolescent birth rate is decreasing in the United States, it remains the highest among comparable high-income countries.1 Adolescents 15 to 19 years old have the highest rates of unintended pregnancies across all age groups.2 Racial and geographic disparities in adolescent birth rates persist, with higher rates observed among nonwhite adolescents and in Southern states.3 Structural and systemic factors impact both the adolescent pregnancy rates and socioeconomic outcomes; adolescent parents have lower rates of high school graduation and lower socioeconomic status and employment.4
Long-acting reversible contraception (LARC) includes intrauterine devices (IUDs) and subdermal etonogestrel implants, which provide highly effective pregnancy prevention. Initiation of LARC increased nationally from 2008 to 2014, with 5% to 10% of sexually active contraception-using adolescents choosing LARC in 2014.5,6 Whereas LARC is most often initiated in the outpatient setting, inpatient hospitalizations may provide an important opportunity to increase adolescent access. Inpatient hospitalizations offer critical opportunities for LARC initiation, especially among adolescents with teratogenic medication exposures. In one study, researchers reported that 53% of hospitalized girls aged 14 to 18 years were interested in sexual health services, including contraception.7 Despite hospitalized adolescents’ interest in contraception, only 25% of hospitalized adolescents have a sexual history documented and 8.5% have a contraceptive history documented.8
Factors associated with inpatient initiation of LARC among female adolescents are not well understood. The objective of this study was to evaluate the frequency of LARC initiation and factors associated with initiation among hospitalized adolescents.
Methods
This study is a secondary data analysis of the Kids’ Inpatient Database, Healthcare Cost and Utilization Project (HCUP), and Agency for Healthcare Research and Quality.9 The data set contains deidentified encounter-level information for inpatient medical and psychiatric admissions across 46 states in the United States and is collected every 3 years. In this study, we analyzed the 2016 data (N = 4200 hospitals).
Hospital encounters for girls 10 to 20 years old were eligible for inclusion. The primary outcome was initiation of LARC while hospitalized (ie, presence of International Statistical Classification of Diseases and Related Health Problems, 10th Revision [ICD-10] procedure codes for either IUDs or subdermal etonogestrel implants). Girls with ICD-10 diagnosis codes for active pregnancy but without a postpregnancy code (ie, for birth, delivery, or therapeutic, elective or spontaneous abortion) were excluded. Covariables included age (defined as young adolescents aged 10–13 years, middle adolescents aged 14–17 years, or older adolescents aged 18–20 years), race or ethnicity (white, Black, Hispanic, and “other” [Asian American or Pacific Islander, American Indian, or “other”]), insurance type (Medicaid, private, and “other” [Medicare, self-pay, no charge, or “other”]), postpregnancy status (yes or no), region of hospital location (Northeast, Midwest, South, or West), hospital type (rural or urban, teaching or nonteaching), hospital size (small, medium, or large), and hospital status (children’s or nonchildren’s hospital).
Bivariable statistics were calculated by using survey-weighted analysis10 with χ2 test for homogeneity to examine the distribution of patient-level and hospital-level characteristics across LARC initiation. A design-based, fully adjusted logistic regression model11 using Wald tests analyzed which patient- or hospital-level factors were associated with LARC initiation. Covariates included age, race or ethnicity, payer, postpartum status, region of hospital location, hospital type, hospital size, and hospital status. When studying the odds of implant versus IUD initiation, effect measure modification by hospital region was identified, requiring further stratification of the adjusted logistic regression model by region. Statistical analysis was completed by using Stata SE 16 (Stata Corp, College Station, TX) and SAS 9.4 for Windows (SAS Institute, Inc, Cary, NC).
This study was reviewed and determined by the University of North Carolina Institutional Review Board to be exempt (19-1890).
Results
Overall, LARC initiation occurred in 0.4% (3706 of 874 193) of eligible hospital admissions. Eligible adolescents were older and more frequently white, covered by Medicaid, and had non-postpregnancy diagnoses (Table 1). The top 20 nonpostpartum diagnoses associated with LARC placement can be found in Supplemental Table 4. The majority of eligible admissions was from hospitals in the South, urban teaching hospitals, larger hospitals, and nonchildren’s hospitals. Significant differences in LARC initiation based on patient age, insurance type, race or ethnicity, and postpregnancy status, as well as hospital type and children’s hospital status, were found (all P < .01).
Characteristics of Adolescent Hospitalizations and Initiation of LARC
. | Total Admissions, N = 87 193, n (%) . | LARC Initiation, n = 3706, n (%) . | IUD Initiation, n = 1130, n (%) . | Implant Initiation, n = 2576, n (%) . | Pa . |
---|---|---|---|---|---|
Patient characteristics | |||||
Age, years at admission | |||||
10–13: young adolescents | 122 269 (14.0) | 44 (0.04) | 17 (39) | 27 (61) | <.001 |
14–17: middle adolescents | 267 546 (30.6) | 1039 (0.39) | 281 (27) | 758 (73) | — |
18–20: older adolescents | 484 379 (55.4) | 2626 (0.54) | 834 (32) | 1792 (68) | — |
Primary insurance | |||||
Medicaid | 493 918 (56.5) | 3114 (0.63) | 898 (29) | 2216 (71) | <.001 |
Private | 313 931 (35.9) | 409 (0.13) | 181 (44) | 228 (56) | — |
Otherb | 64 979 (7.4) | 179 (0.28) | 49 (27) | 130 (73) | — |
Race or ethnicity | |||||
White | 405 563 (46.4) | 697 (0.17) | 245 (35) | 452 (65) | <.001 |
Black | 161 399 (18.5) | 1273 (0.79) | 380 (30) | 893 (70) | — |
Hispanic | 188 824 (21.6) | 1288 (0.68) | 363 (28) | 925 (72) | — |
Otherc | 61 035 (7.0) | 303 (0.5) | 94 (31) | 209 (69) | — |
Postpregnancy statusd | |||||
Yes | 367 478 (42.0) | 3457 (0.94) | 953 (28) | 2504 (72) | <.001 |
No | 506 715 (58.0) | 249 (0.05) | 178 (71) | 71 (29) | — |
Hospital characteristics | |||||
Region of hospital | |||||
Northeast | 134 564 (15.4) | 589 (0.44) | 242 (41) | 347 (59) | .85 |
Midwest | 199 357 (22.8) | 688 (0.35) | 254 (37) | 434 (63) | — |
South | 362 921 (41.5) | 1661 (0.46) | 390 (23) | 1271 (77) | — |
West | 177 351 (20.3) | 769 (0.43) | 245 (32) | 524 (68) | — |
Hospital type | |||||
Rural | 80 522 (9.2) | 76 (0.09) | 30 (39) | 46 (61) | <.001 |
Urban nonteaching | 175 444 (20.1) | 121 (0.07) | 55 (45) | 66 (55) | — |
Urban teaching | 618 227 (70.7) | 3508 (0.57) | 1045 (30) | 2463 (70) | — |
Hospital sizee | |||||
Small | 117 431 (13.4) | 365 (0.31) | 72 (20) | 293 (80) | .07 |
Medium | 231 082 (26.4) | 635 (0.27) | 186 (29) | 449 (71) | — |
Large | 525 680 (60.1) | 2706 (0.51) | 872 (32) | 1834 (68) | — |
Children's hospital | |||||
Yes | 106 589 (12.2) | 115 (0.11) | 56 (49) | 59 (51) | .005 |
No | 767 604 (87.8) | 3590 (0.47) | 1074 (30) | 2516 (70) | — |
. | Total Admissions, N = 87 193, n (%) . | LARC Initiation, n = 3706, n (%) . | IUD Initiation, n = 1130, n (%) . | Implant Initiation, n = 2576, n (%) . | Pa . |
---|---|---|---|---|---|
Patient characteristics | |||||
Age, years at admission | |||||
10–13: young adolescents | 122 269 (14.0) | 44 (0.04) | 17 (39) | 27 (61) | <.001 |
14–17: middle adolescents | 267 546 (30.6) | 1039 (0.39) | 281 (27) | 758 (73) | — |
18–20: older adolescents | 484 379 (55.4) | 2626 (0.54) | 834 (32) | 1792 (68) | — |
Primary insurance | |||||
Medicaid | 493 918 (56.5) | 3114 (0.63) | 898 (29) | 2216 (71) | <.001 |
Private | 313 931 (35.9) | 409 (0.13) | 181 (44) | 228 (56) | — |
Otherb | 64 979 (7.4) | 179 (0.28) | 49 (27) | 130 (73) | — |
Race or ethnicity | |||||
White | 405 563 (46.4) | 697 (0.17) | 245 (35) | 452 (65) | <.001 |
Black | 161 399 (18.5) | 1273 (0.79) | 380 (30) | 893 (70) | — |
Hispanic | 188 824 (21.6) | 1288 (0.68) | 363 (28) | 925 (72) | — |
Otherc | 61 035 (7.0) | 303 (0.5) | 94 (31) | 209 (69) | — |
Postpregnancy statusd | |||||
Yes | 367 478 (42.0) | 3457 (0.94) | 953 (28) | 2504 (72) | <.001 |
No | 506 715 (58.0) | 249 (0.05) | 178 (71) | 71 (29) | — |
Hospital characteristics | |||||
Region of hospital | |||||
Northeast | 134 564 (15.4) | 589 (0.44) | 242 (41) | 347 (59) | .85 |
Midwest | 199 357 (22.8) | 688 (0.35) | 254 (37) | 434 (63) | — |
South | 362 921 (41.5) | 1661 (0.46) | 390 (23) | 1271 (77) | — |
West | 177 351 (20.3) | 769 (0.43) | 245 (32) | 524 (68) | — |
Hospital type | |||||
Rural | 80 522 (9.2) | 76 (0.09) | 30 (39) | 46 (61) | <.001 |
Urban nonteaching | 175 444 (20.1) | 121 (0.07) | 55 (45) | 66 (55) | — |
Urban teaching | 618 227 (70.7) | 3508 (0.57) | 1045 (30) | 2463 (70) | — |
Hospital sizee | |||||
Small | 117 431 (13.4) | 365 (0.31) | 72 (20) | 293 (80) | .07 |
Medium | 231 082 (26.4) | 635 (0.27) | 186 (29) | 449 (71) | — |
Large | 525 680 (60.1) | 2706 (0.51) | 872 (32) | 1834 (68) | — |
Children's hospital | |||||
Yes | 106 589 (12.2) | 115 (0.11) | 56 (49) | 59 (51) | .005 |
No | 767 604 (87.8) | 3590 (0.47) | 1074 (30) | 2516 (70) | — |
—, not applicable.
Refers to comparison of LARC versus no-LARC-eligible admissions; significance defined as P < .05.
“Other insurance” includes Medicare, self-pay, no charge, and “other.”
“Other race” includes Asian American, Pacific Islander, American Indian, and “other.”
Postpregnancy status was defined as having a primary diagnosis code for birth or delivery or for spontaneous, therapeutic, or elective abortion.
The definition of hospital bed size varies by region and hospital type.
Several patient factors had significantly higher odds of LARC initiation (Table 2): middle adolescents compared with older adolescents; public insurance compared with private insurance; racial and ethnic minorities compared with white adolescents; and postpregnancy adolescents compared with non-postpregnancy adolescents (all P ≤ .001). Rural or urban nonteaching hospitals had significantly lower odds of LARC initiation compared with urban teaching hospitals, and small or medium sized hospitals had lower odds compared with large hospitals (all P < .01).
Adjusted Odds of LARC Initiation in Hospitalized Adolescents
. | OR of LARCa . | 95% CIs . | Pb . |
---|---|---|---|
Patient characteristics | |||
Age, y | |||
10–13: young adolescents | 0.68 | 0.45–1.02 | .06 |
14–17: middle adolescents | 1.50 | 1.36–1.64 | <.001 |
18–20: older adolescents | Referent | — | — |
Primary insurance | |||
Public | 1.89 | 1.61–2.22 | <.001 |
Private | Referent | — | — |
Race or ethnicity | |||
Black | 2.45 | 1.72–3.49 | <.001 |
Hispanic | 1.87 | 1.15–3.04 | .01 |
Otherc | 2.00 | 1.27–3.16 | <.001 |
White | Referent | — | — |
Postpregnancy statusd | |||
Yes | 19.49 | 12.85–29.54 | <.001 |
No | Referent | — | — |
Hospital characteristics | |||
Region of hospital | |||
Northeast | 1.19 | 0.60–2.38 | .61 |
Midwest | 1.00 | 0.49–2.05 | .99 |
South | 1.13 | 0.56–2.27 | .74 |
West | Referent | — | — |
Hospital type | |||
Rural | 0.10 | 0.05–0.18 | <.001 |
Urban nonteaching | 0.09 | 0.04–0.20 | <.001 |
Urban teaching | Referent | — | — |
Hospital sizee | |||
Small | 0.47 | 0.24–0.93 | .03 |
Medium | 0.45 | 0.25–0.83 | .01 |
Large | Referent | — | — |
Children’s hospital | |||
Yes | 1.71 | 0.54–5.44 | .36 |
No | Referent | — | — |
. | OR of LARCa . | 95% CIs . | Pb . |
---|---|---|---|
Patient characteristics | |||
Age, y | |||
10–13: young adolescents | 0.68 | 0.45–1.02 | .06 |
14–17: middle adolescents | 1.50 | 1.36–1.64 | <.001 |
18–20: older adolescents | Referent | — | — |
Primary insurance | |||
Public | 1.89 | 1.61–2.22 | <.001 |
Private | Referent | — | — |
Race or ethnicity | |||
Black | 2.45 | 1.72–3.49 | <.001 |
Hispanic | 1.87 | 1.15–3.04 | .01 |
Otherc | 2.00 | 1.27–3.16 | <.001 |
White | Referent | — | — |
Postpregnancy statusd | |||
Yes | 19.49 | 12.85–29.54 | <.001 |
No | Referent | — | — |
Hospital characteristics | |||
Region of hospital | |||
Northeast | 1.19 | 0.60–2.38 | .61 |
Midwest | 1.00 | 0.49–2.05 | .99 |
South | 1.13 | 0.56–2.27 | .74 |
West | Referent | — | — |
Hospital type | |||
Rural | 0.10 | 0.05–0.18 | <.001 |
Urban nonteaching | 0.09 | 0.04–0.20 | <.001 |
Urban teaching | Referent | — | — |
Hospital sizee | |||
Small | 0.47 | 0.24–0.93 | .03 |
Medium | 0.45 | 0.25–0.83 | .01 |
Large | Referent | — | — |
Children’s hospital | |||
Yes | 1.71 | 0.54–5.44 | .36 |
No | Referent | — | — |
CI, confidence interval; OR, odds ratio.
OR is for each individual variable, adjusted for all other variables included in the table.
Significance defined as P < .05.
“Other race” includes Asian American, Pacific Islander, American Indian, and “other.”
Postpregnancy status was defined as having a primary diagnosis code for birth or delivery or for spontaneous, therapeutic, or elective abortion.
The definition of hospital bed size varies by region and hospital type.
Factors associated with implant versus IUD initiation, specifically postpregnancy status and hospital size, varied regionally (Table 3). Smaller hospital size and postpregnancy status increased the odds of implant initiation (after adjusting for age, insurance, race, and hospital type), especially for small hospitals in the Northeast and West and medium hospitals in the West (all P < .05). Postpregnancy adolescents in the Midwest, South, and West also had increased odds of implant initiation (P < .05).
Logistic Regression of Patient and Hospital Characteristics Associated With Odds of Initiating Implant (Compared With IUD Initiation), by Hospital Region
Regiona . | Variable . | aORb . | P . |
---|---|---|---|
Northeast: CT, ME, MA, NJ, NY, PA, RI, VT | Postpregnancy status: yes | 1.86 | .17 |
Postpregnancy status: no | Referent | — | |
Hospital size: small | 5.42 | .002 | |
Hospital size: medium | 1.16 | .90 | |
Hospital size: large | Referent | — | |
Midwest: IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI | Postpregnancy status: yes | 3.20 | .02 |
Postpregnancy status: no | Referent | — | |
Hospital size: small | 3.10 | .05 | |
Hospital size: medium | 1.37 | .69 | |
Hospital size: large | Referent | — | |
South: AR, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV | Postpregnancy status: yes | 6.95 | <.001 |
Postpregnancy status: no | Referent | — | |
Hospital size: small | 1.39 | .65 | |
Hospital size: medium | 1.52 | .36 | |
Hospital size: large | Referent | — | |
West: AK, AZ, CA, CO, HI, MT, NV, NM, OR, UT, WA, WY | Postpregnancy status: yes | 3.67 | <.001 |
Postpregnancy status: no | Referent | — | |
Hospital size: small | 2.89 | .03 | |
Hospital size : medium | 2.98 | .02 | |
Hospital size: large | Referent | — |
Regiona . | Variable . | aORb . | P . |
---|---|---|---|
Northeast: CT, ME, MA, NJ, NY, PA, RI, VT | Postpregnancy status: yes | 1.86 | .17 |
Postpregnancy status: no | Referent | — | |
Hospital size: small | 5.42 | .002 | |
Hospital size: medium | 1.16 | .90 | |
Hospital size: large | Referent | — | |
Midwest: IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI | Postpregnancy status: yes | 3.20 | .02 |
Postpregnancy status: no | Referent | — | |
Hospital size: small | 3.10 | .05 | |
Hospital size: medium | 1.37 | .69 | |
Hospital size: large | Referent | — | |
South: AR, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV | Postpregnancy status: yes | 6.95 | <.001 |
Postpregnancy status: no | Referent | — | |
Hospital size: small | 1.39 | .65 | |
Hospital size: medium | 1.52 | .36 | |
Hospital size: large | Referent | — | |
West: AK, AZ, CA, CO, HI, MT, NV, NM, OR, UT, WA, WY | Postpregnancy status: yes | 3.67 | <.001 |
Postpregnancy status: no | Referent | — | |
Hospital size: small | 2.89 | .03 | |
Hospital size : medium | 2.98 | .02 | |
Hospital size: large | Referent | — |
aOR, adjusted odds ratio; —, not applicable.
Missing data are present: the states of Alabama, Delaware, and Idaho do not participate in HCUP. New Hampshire participates in HCUP but did not provide data in time for the 2016 Kids’ Inpatient Database.
Adjusted for age, insurance, race, and hospital type.
Discussion
In this study, we found that LARC initiation occurred in <1% of adolescent hospitalizations and 90% of LARC placement occurred in adolescents with postpregnancy primary diagnoses. Additionally, middle adolescents (aged 14–17 years), Black and Hispanic adolescents, and adolescents who receive public insurance had higher odds of LARC initiation.
Middle adolescents in particular were more likely to initiate LARC. Although our data cannot elucidate reasons for this, it is possible that more pregnancies at this age were unintended12 or that providers were more proactive in initiating immediate postpregnancy LARC in this age group compared with older adolescents to prevent repeat pregnancies.13 Additionally, this study suggests several barriers to accessing inpatient contraceptive services for nonpregnant adolescents. The low rates of LARC initiation in adolescents hospitalized for medical diagnoses other than pregnancy could represent important missed opportunities for LARC initiation, especially given low rates of contraception provision in adolescents prescribed teratogenic medications in outpatient settings14 and the high rates of readmission for adolescents with chronic diseases.15 Although we were unable to examine this specifically, these findings may suggest that nonobstetric inpatient providers may be less aware of the contraceptive needs of this patient population, may be less comfortable providing LARC to adolescent patients, or may be less aware of the protections offered by minor consent laws and confidentiality related to sexual and reproductive health.
Whereas white adolescents made up the majority of eligible hospital admissions, nonwhite adolescents more frequently initiated LARC after adjusting for age, insurance type, and postpregnancy status. There may be a number of reasons for this difference, including that physicians hoping to reduce unplanned pregnancies in populations with the highest rates may be more mindful to offer LARC methods to those patients.16 Although exploration of physician factors was not possible through the data set used for our study, it is possible that physicians may be disproportionately offering LARC on the basis of biases that stem from the historical, systemic, and structural undervaluation of minority women’s reproductive autonomy.17 Additionally, patient factors may impact acceptance of LARC: nonwhite adolescents may be accepting offered LARC because of poor access outside of the hospital18 or feeling disproportionately pressured to accept LARC from their providers compared with white adolescents.19 Future research is needed to study the differences in contraceptive counseling methods by providers among different racial and ethnic minorities and how LARC initiation is impacted by receipt of preferred counseling methods among racial and ethnic minorities. Furthermore, prospective studies are needed on providers’ use and patients’ perceptions of patient-centered approaches to contraceptive counseling that maximize patient autonomy and promote respect for each individual’s choices about childbearing and contraception use.20–22
Postpregnancy status and smaller hospital size had higher odds of implant initiation compared with IUD initiation, and this association differed by region. Implants may be more likely to be placed because the procedure is less invasive and they are more widely accepted than IUDs by adolescents.23 These findings may also be due to regional variations in provider training and comfort with LARC,24 differences in state-level reimbursement of immediate postpregnancy LARC,25 or preference for implant due to concern for possible expulsion of postpregnancy IUD (notably, the American College of Obstetricians and Gynecologists26 encourages immediate postpregnancy IUD placement for those at greatest risk of not having recommended follow-up). More than 60% of inpatient pediatricians think initiation of LARC in the inpatient setting is appropriate, although they cite insufficient training, insufficient exposure to maintain skills, lack of time, and concerns about follow-up as potential barriers.27 Addressing LARC, and especially IUD, capacity in rural, nonteaching, and smaller hospitals, such as increasing access to training and continuing education opportunities, may be particularly important in improving LARC access.
This study had several limitations. First, we could not measure if adolescents had preexisting LARC or other contraception, and, as such, we may have seen a lower proportion of LARC placement if contraception was previously initiated outpatient. Second, incomplete or inaccurate coding may have resulted in some LARCs not being captured and therefore not included in our analysis. Third, because of the limitations of the data available, we could not measure why LARC may have been placed (eg, for treatment of abnormal uterine bleeding versus for pregnancy prevention) or frequency of LARC in adolescents with associated high-risk diagnoses (eg, mental health or substance use), although this is an important area for future inquiry. Fourth, we could not assess why LARC may not have been placed for an eligible and interested adolescent (eg, if there was provider discomfort in placement of LARC or if a provider intended to initiate LARC but had issues with insurance reimbursement). Relatedly, we were unable to assess which provider specialties were or were not initiating LARCs. Finally, we were unable to conduct state-level analysis because of data use restrictions and so were unable to evaluate if differences in LARC initiation varied by state-determined public insurance reimbursement or parental consent laws.
The results of this study have important implications for both health care providers and policymakers. Hospitalization can be an important opportunity to initiate LARC for adolescents, but inconsistent insurance reimbursement25 may limit LARC placement. Universal coverage of LARC by all insurance companies without cost-sharing,28,29 unbundling postpartum LARC from other maternity care,25 consistent Medicaid reimbursement of immediate postpregnancy LARC,30 and reimbursement for contraceptive counseling31 may increase LARC access. Especially in rural and nonteaching hospital settings, provider discomfort27 and a lack of hospital-based programs32 may decrease access, which may require policy changes, such as increasing provider education and institutional protocols for LARC initiation26 and reducing logistic and administrative barriers to increase supply.25 Future research is needed to clarify the causes of the low rates of inpatient LARC initiation and to identify and close gaps in the number of adolescents desiring and initiating LARC in inpatient settings.
Acknowledgments
We acknowledge the HCUP Data Partners that contribute to HCUP: Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Hawaii, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
FUNDING: Partially supported by a Ruth L. Kirschstein National Research Service Award grant from the Health Resources and Services Administration (5 T32 14001). The funder did not participate in the work.
Drs Allison, Flower, and Perry conceptualized and designed the study and drafted the initial manuscript; Mr Ritter conducted the initial analyses and reviewed and revised the manuscript; and all authors approved the final manuscript as submitted.
References
Competing Interests
POTENTIAL CONFLICT OF INTEREST: Dr Perry is an instructor for Nexplanon; and Dr Allison, Mr Ritter, and Dr Flower have indicated they have no potential conflicts of interest to disclose.
FINANCIAL DISCLOSURE: Dr Perry is an instructor for Nexplanon; and Dr Allison, Mr Ritter, and Dr Flower have indicated they have no financial relationships relevant to this article to disclose.
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