Abstract
Introduction:
Given mixed findings regarding the relationship between long-acting reversible contraception and condom use, this systematic review and meta-analysis synthesizes studies comparing sexually transmitted infection‒related outcomes between users of long-acting reversible contraception (intrauterine devices, implants) and users of moderately effective contraceptive methods (oral contraceptives, injectables, patches, rings).
Methods:
MEDLINE, Embase, PsycINFO, Global Health, CINAHL, Cochrane Library, and Scopus were searched for articles published between January 1990 and July 2018. Eligible studies included those that (1) were published in the English language, (2) were published in a peer-reviewed journal, (3) reported empirical, quantitative analyses, and (4) compared at least 1 outcome of interest (condom use, sexual behaviors other than condom use, sexually transmitted infection‒related service receipt, or sexually transmitted infections/HIV) between users of long-acting reversible contraception and users of moderately effective methods. In 2020, pooled ORs were calculated for condom use, chlamydia/gonorrhea infection, and trichomoniasis infection; findings for other outcomes were synthesized qualitatively. The protocol is registered on the International Prospective Register of Systematic Reviews (CRD42018109489).
Results:
A total of 33 studies were included. Long-acting reversible contraception users had decreased odds of using condoms compared with oral contraceptive users (OR=0.43, 95% CI=0.30, 0.63) and injectable, patch, or ring users (OR=0.58, 95% CI=0.48, 0.71); this association remained when limited to adolescents and young adults only. Findings related to multiple sex partners were mixed, and only 2 studies examined sexually transmitted infection testing, reporting mainly null findings. Pooled estimates for chlamydia and/or gonorrhea were null, but long-acting reversible contraception users had increased odds of trichomoniasis infection compared with oral contraceptive users (OR=2.01, 95% CI=1.11, 3.62).
Discussion:
Promoting condom use specifically for sexually transmitted infection prevention may be particularly important among long-acting reversible contraception users at risk for sexually transmitted infections, including adolescents and young adults.
INTRODUCTION
Nearly half of pregnancies worldwide were unintended from 2010 to 2014 (on the basis of the most recent global estimates).1 Long-acting reversible contraception (LARC), including intrauterine devices and implants, offers a highly effective pregnancy prevention option, with <1% of users becoming pregnant in the first year of typical use.2 Evidence from the U.S. suggests that these methods contribute to population-level reductions in unintended pregnancies,3–5 including among adolescents, for whom 75% of pregnancies are unintended.6 Public health efforts have improved awareness of and access to LARC, and use has increased among reproductive-aged women generally and adolescent girls specifically.7–10
Although LARC methods are highly effective for preventing pregnancy, they do not prevent sexually transmitted infections (STIs), including HIV. The same is true for moderately effective contraceptive methods (i.e., oral contraception, injectables, patches, rings), for which 4%–7% of users will become pregnant in the first year of typical use.2 Integration of STI prevention with family planning presents an opportunity to address the persistent burden of STIs globally,11 including increasing STI rates in the U.S.12 Using condoms with LARC or moderately effective methods for individuals at risk for STIs is recommended by the Centers for Disease Control and Prevention and the Office of Population Affairs,13 and the American Academy of Pediatrics recently emphasized the importance of counseling adolescent patients on this practice.14,15 However, condom use with more effective contraception among adolescents and young adults, who are disproportionately affected by STIs,12 is suboptimal.8,16 Furthermore, missed opportunities for provision of STI-related services in the context of contraceptive care have been documented.17
The conceptual model in Figure 1 shows well-established relationships between STIs and individual-level behaviors, including condom use, other sexual behaviors (e.g., having multiple partners), and receipt of services (e.g., STI testing, preventive counseling).18,19 For each of these domains, there is a conceptual rationale for potential differences between LARC and moderately effective contraceptive method users. First, LARC users may be less likely to use condoms than moderately effective method users given that condom use for additional pregnancy prevention would not be salient.20 In fact, some evidence suggests decreased condom use among LARC users relative to use among moderately effective method users generally and oral contraceptive users specifically,7,21–23 although other findings indicate no significant difference.22,24,25 If condom use is lower among LARC users, then they may be more likely to acquire STIs. However, consideration of other sexual risk behaviors and STI-related services is needed. For example, if LARC users are less likely to have multiple partners, decreased condom use may not result in increased risk for STIs. In addition, any higher risk for STIs may not be detected if LARC users are less likely to receive STI testing than moderately effective method users. This association is plausible because many women receive STI-related services in the context of contraceptive health care,26 but LARC methods remain effective for 3–10 years, reducing the need for engagement with providers for contraception.
Given conflicting findings of studies comparing condom use between LARC users and moderately effective method users, this systematic review and meta-analysis synthesizes the literature and contextualizes findings in relation to the aforementioned conceptual model. Specifically, it includes observational and intervention research comparing LARC users with moderately effective method users in relation to the 4 domains presented in Figure 1: (1) condom use, (2) other sexual behaviors, (3) STI-related services, and (4) STIs. Studies among women generally are examined, but evidence specific to adolescent and young adults is also considered given the importance of STI prevention for this population.
METHODS
Search Strategy and Selection Criteria
The PRISMA and Meta-analyses of Observational Studies in Epidemiology guidelines were followed,27,28 and the protocol was registered at the International Prospective Register of Systematic Reviews (CRD42018109489). Keyword searches in 7 public health and medical literature databases (MEDLINE, Embase, PsycINFO, Global Health, CINAHL, Cochrane Library, and Scopus) used combinations of terms related to LARC and STIs (Appendix 1, available online). These searches captured articles published from January 1990 through July 2018.
Eligibility criteria included studies (1) written in the English language, (2) published in a peer-reviewed journal, (3) that reported quantitative analyses, and (4) that compared at least 1 outcome of interest (i.e., condom use, other sexual behaviors, STI-related services, or STIs/HIV) between LARC (intrauterine devices or implants) and moderately effective method (oral contraception, injectables, patches, or rings) users. For STIs/HIV, studies that restricted analyses on the basis of condom use or adjusted for condom use were excluded because the conceptual model includes condom use as a mediator. Studies that only examined bacterial vaginosis or human papillomavirus were also excluded given the reduced effectiveness of condoms in preventing these infections.29,30 For this specific report, STI findings addressed chlamydia (CT), gonorrhea (GC), and trichomoniasis given sufficient eligible studies and homogeneity in measurement. This report excludes data on HIV infection as it is not feasible here to discuss these data in relation to the robust literature examining associations between depot medroxyprogesterone acetate and HIV acquisition.31 Study authors were not contacted because some studies were published nearly 30 years ago. The reference lists of included articles were reviewed to identify additional eligible studies.
In total, 3 authors (RJS, SP, KMK) screened the same subset (n=200) of titles and abstracts for eligibility to ensure consistency in screening. The remaining titles and abstracts were then divided between the 3 authors and screened independently. If any screener was uncertain about inclusion, the full text was reviewed and discussed as a group.
Data Analysis
Eligible articles were divided between 4 authors (RJS, SP, KMK, and NL) so that 2 individuals independently extracted data from each article. A standardized form captured data source, data collection year(s), geographic location, study setting (e.g., school, clinic, community), study design, sampling strategy, sample size, sample age, specific measure(s) used to assess LARC use, specific measure(s) used to assess moderately effective method use, outcome measure(s), and the most robust measure of association reported comparing STI-related outcome(s) between LARC and moderately effective method users. When reported, adjusted associations were used over unadjusted associations. Discrepancies in data extraction were resolved through discussion, either between the original 2 extractors or, if needed, among all 4 authors involved in data extraction.
Study quality was assessed using a modified version of the Newcastle–Ottawa Scale32 that has been used in other reviews33,34 (Appendix 2, available online) and evaluates (1) representativeness of the study sample, (2) size of the sample or sub-sample for LARC and moderately effective method users, (3) validity of contraception measures, (4) validity of STI outcome measures, (5) temporal precedence of contraceptive use in relation to STI outcome (e.g., prospective study design), and (6) comparability of LARC and moderately effective method users on the basis of study design (e.g., randomization) or analysis (e.g., statistical adjustment). Dichotomous indicators were assigned for each dimension to denote whether a study met the quality criterion (Appendix 3, available online). Each aspect of quality was examined independently rather than as a summed score to facilitate interpretation.
For condom use, CT/GC, and trichomoniasis infection, a random-effects meta-analysis was conducted to allow for between-study heterogeneity in the true effect estimate. Condom use was primarily measured as use at last sex (yes/no) or frequency of use, which was then dichotomized as always versus sometimes or never.35 For each outcome, comparisons included (1) LARC versus oral contraceptive users; (2) LARC versus injectable, patch, or ring users; and (3) LARC versus a combined measure of oral contraceptive, injectable, patch, or ring users. Pooled ORs and 95% CIs were generated using Comprehensive Meta-Analysis, version 2. In cases where there were findings at multiple timepoints, only the association at the last timepoint was included. Sensitivity analyses examined studies with samples limited to adolescents and young adults (aged 11–25 years on the basis of the included articles) and studies conducted in the U.S. Additional sensitivity analyses were conducted with studies published after 2002 when the distribution of Norplant, a levonorgestrel-releasing implant, was permanently discontinued in the U.S.36 to distinguish studies examining modern LARC methods. Finally, sensitivity analyses accounted for individual dimensions of study quality (e.g., sample size, measurement validity) by only including those studies achieving a given quality indicator. Pooled effect estimates for overall and sensitivity analyses are presented when at least 3 studies reported relevant data. Heterogeneity was assessed using I2 values (with higher scores indicating more heterogeneity), and publication bias for overall effects was assessed using funnel plots and Egger’s test (1-tailed p-values reported).
Meta-analyses were not conducted for findings about sexual behaviors other than condom use and STI-related service receipt owing to measurement heterogeneity and limited data, respectively. Instead, these findings were synthesized qualitatively. For each presented finding, point estimates and CIs or p-values were used to determine the magnitude, direction of association, and significance; if studies reported raw data without statistical comparison, RRs and 95% CIs were calculated. The number of unique associations that were null, risk (i.e., more likely to engage in other sexual behaviors or less likely to receive services), and protective (i.e., less likely to engage in other sexual behaviors or more likely to receive services) were counted. Data analysis was completed in 2020.
RESULTS
The literature search yielded 2,269 articles (Figure 2). A total of 41 distinct studies, described in 42 articles, met the inclusion criteria. However, 1 study noted substantial overlap with the sample of another study published by the same first author, and thus, these 2 studies are treated as 1, for a total of 40 included studies. A total of 7 studies met eligibility criteria but are not discussed further because they examined HIV only (n=6) or did not include CT, GC, or trichomoniasis as STI outcomes (and did not examine other STI-related outcomes reported in this paper; n=1). A total of 3 studies examined STI outcomes other than CT, GC, or trichomoniasis and were thus not included in the STI meta-analysis; however, because these studies examined other outcomes of interest (i.e., condom use, other sexual behaviors), they were retained for those specific analyses.
Study Characteristics
Characteristics of the 33 studies included in this analysis are summarized in Appendix 437–64 (available online). Two thirds (n=22) were published after 2002. Approximately half (n=16) were conducted in the U.S., and 19 other countries from Central America, South America, Asia, Africa, and Europe as well as New Zealand are also represented. The median sample size of LARC and moderately effective method users was 508 (range=13–6,744). A total of 9 studies were limited to adolescents and/or young adults aged <26 years. Most samples (n=23) were clinic based (data not shown). Approximately half (n=18) were cross-sectional, and about one fifth (n=7) were prospective cohorts.
Risk of Bias Assessment
A total of 7 studies utilized population-based sampling and met the quality criterion for representativeness of the study sample (Appendix 3, available online). A total of 23 studies met the quality criterion of n≥200. As for measurement quality, 19 studies reported assessing contraception through clinic records or by a structured interview with the timeframe for use defined as at last sex or use within the past year. A similar pattern was observed for measurement of condom use, other sexual behaviors, and STI-related services, with about half of the studies meeting the quality criteria for each outcome. For STI infection, all of the 14 studies included in the meta-analysis met the quality criterion of laboratory-confirmed diagnosis. In total, contraceptive use preceded the STI-related outcome in 13 studies, and 10 studies had some degree of comparability between LARC and moderately effective method users through statistical adjustment or study design.
Condom Use
A total of 14 studies reported relevant data on condom use (Table 1 and Appendix 5, available online). Pooling 10 studies comparing condom use between LARC and oral contraceptive users, LARC users had nearly 60% lower odds of using condoms (OR=0.43, 95% CI=0.30, 0.63, I2=49.2). LARC users also had lower odds of condom use than injectable, patch, or ring users (n=8, OR=0.58, 95% CI=0.48, 0.71, I2=12.4) and the combined group of oral contraceptive, injectable, patch, or ring users (n=3, OR=0.54, 95% CI=0.34, 0.86, I2=81.2). Examination of funnel plots (Appendix 6, available online) and Egger’s test for these meta-analyses generally did not provide evidence of publication bias, except for the comparison of LARC with moderately effective methods combined (p=0.03).
Table 1.
Outcomes | LARC versus oral contraception | LARC versus injectable, patch, ring | LARC versus oral contraception, injectable, patch, ring | ||||||
---|---|---|---|---|---|---|---|---|---|
Studies, n | OR (95% Cl) | I2 | Studies, n | OR (95% Cl) | I2 | Studies, n | OR (95% Cl) | I2 | |
Condom use | 10 | 0.43 (0.30, 0.63) | 49.2 | 8 | 0.58 (0.48, 0.71) | 12.4 | 3 | 0.54 (0.34, 0.86) | 81.2 |
Chlamydia/gonorrhea | 7 | 1.38 (0.98, 1.94) | 34.2 | 4 | 0.69 (0.29, 1.65) | 82.4 | 4a | 1.17 (0.85, 1.62) | 33.8 |
Trichomoniasis | 5 | 2.01 (1.11, 3.62) | 0.0 | N/A | N/A |
All of the 4 studies examined chlamydia only.
LARC, long-acting reversible contraception; N/A, not applicable.
Odds of condom use were significantly lower for LARC users than for oral contraceptive users when restricting to studies with adolescent and young adults only (n=4, OR=0.46, 95% CI=0.38, 0.55, data not shown), when restricting to studies set in the U.S. (n=8, OR=0.42, 95% CI= 0.27, 0.65, data not shown), and in 5 additional sensitivity analyses (published after 2002, population-based, comparability on the basis of statistical adjustment, quality contraceptive use measures, quality condom use measures). The association comparing LARC users with injectable, patch, or ring users held when restricting to studies from the U.S. (n=6, OR=0.58, 95% CI=0.45, 0.74, data not shown) and in 5 other sensitivity analyses (published after 2002, population-based, comparability on the basis of statistical adjustment, quality contraceptive use measures, quality condom use measures).
Sexually Transmitted Infections
Pooled effects for CT/GC comparing LARC users with oral contraceptive (n=7, OR=1.38, 95% CI=0.98, 1.94, I2=34.2), injectable (n=4, OR=0.69, 95% CI=0.29, 1.65, I2=82.4), and indicators combining moderately effective method (n=4, OR=1.17, 95% CI=0.85, 1.62, I2=33.8) users were null (Table 1 and Appendix 5, available online). Comparisons between LARC and oral contraceptive users remained null in 2 sensitivity analyses (published after 2002, ascertainment of contraceptive use preceded CT/GC diagnosis). However, one sensitivity analysis pooling findings from 3 studies that used quality measures for contraception yielded significantly increased odds of CT/GC infection for LARC users compared with those for oral contraceptive users (OR=1.26, 95% CI=1.02, 1.56, data not shown). For comparisons of CT/GC between LARC and injectable users, the only possible sensitivity analysis examined studies with temporal precedence for contraceptive use on the basis of study design, and the association remained null. Two sensitivity analyses (published after 2002, quality contraceptive use measures) for LARC versus moderately effective contraceptive methods combined were also null.
For trichomoniasis, there were only sufficient studies to synthesize comparisons between LARC and oral contraceptive users. Pooling 5 studies, LARC users had increased odds of trichomoniasis (OR=2.01, 95% CI=1.11, 3.62, I2=0.0). However, this association was no longer significant in the 1 possible sensitivity analysis limited to 3 prospective cohort studies in which contraceptive use preceded trichomoniasis diagnosis (OR=2.01, 95% CI=0.91, 4.41, data not shown). Funnel plots (Appendix 6, available online) and Egger’s test did not suggest publication bias for the STI findings.
Other Sexual Behaviors
On the basis of the qualitative synthesis, 9 studies provided data on 20 associations between other sexual behaviors and contraceptive type (Table 222,23,37,38,42,49,51,63,64). Outcomes included multiple sex partners, frequency of sex, and substance use before sex. Of 8 associations from 6 studies comparing multiple partners between LARC and oral contraceptive users, 2 showed an increased likelihood for LARC users, 2 showed a reduced likelihood, and 4 were null. Findings for this same outcome based on 5 associations from 4 studies comparing LARC users with injectable, patch, or ring users were a mixture of null and increased likelihood for LARC users. There was not a clear pattern to the findings for multiple sex partners on the basis of study quality. All findings for frequency of sex and substance use at last sex were null.
Table 2.
Measures | Comparison | Finding |
---|---|---|
LARC versus OC | ||
Multiple sex partners | ||
Change in number of partners, past 3 months37 | IUD versus OC | Null (In-text statement: “These differences are not significant by the test of Yates and Cochran”) |
Number of partners, lifetime42 (dichotomized as 6–20 versus <6)a | IUD versus OC | Null (RR=1.10, 95% CI=0.16, 7.75) |
≥1 new partner, Year 123 | Implant versus OC | Protective (26% vs 50%, p<0.05) |
≥1 new partner, Year 223 | Implant versus OC | Null (37% vs 48%, p>0.05) |
Number of partners, lifetime49,b | IUD versus OC | Protective (2.5, 95% CI=2.23, 2.77 vs 3.0, 95% CI=2.82, 3.18) |
>1 partner, past 5 years53 | IUD versus OC | Null (RR=0.79; 95% CI=0.61, 1.02) |
≥4 partners, lifetime22 | LARC versus OC | Risk (APR=1.87, 95% CI=1.36, 2.58) |
≥2 partners, past 3 months22 | LARC versus OC | Risk (APR=2.61, 95% CI=1.75, 3.90) |
Frequency of sex | ||
Frequency of sex, past year42 (dichotomized as >1 time/week-1 time/day versus ≤1 time/week)a | IUD versus OC | Null (RR=1.00, 95% CI=0.82, 1.23) |
Frequency of sex63 | IUD versus OC | Null (In-text statement: “No significant changes were observed…”) |
Substance use | ||
Drank alcohol or used drugs before last sex22 | LARC versus OC | Null (APR=1.28, 95% CI=0.75, 2.18) |
LARC versus injectable, patch, or ring | ||
Multiple sex partners | ||
Number of partners, lifetime42 (dichotomized as 6−20 versus <6)a | IUD versus injectable | Null (RR=0.47, 95% CI=0.07, 3.29) |
>1 partner, past 5 years53 | IUD versus injectable | Null (RR=0.90, 95% CI=0.62, 1.30) |
≥4 partners, lifetime22 | LARC versus injectable, patch, ring | Risk (APR=1.37, 95% CI=1.01, 1.85) |
≥2 partners, past 3 months22 | LARC versus injectable, patch, ring | Risk (APR=2.58, 95% CI=1.17, 5.67) |
Number of partners, past 12 months64 (dichotomized as ≥4 versus <4)a,c | IUD versus injectable | Null (RR=0.21, 95% CI=0.02, 1.87) |
Frequency of sex | ||
Frequency of sex, past year42 (dichotomized as >1 time/week-1 time/day versus ≤1 time/week)a | IUD versus injectable | Null (RR=1.06, 95% CI=0.81, 1.39) |
Substance use | ||
Drank alcohol or used drugs before last sex22 | LARC versus injectable, patch, ring | Null (APR=1.21, 95% CI=0.59, 2.51) |
Other comparisons | ||
Multiple sex partners | ||
New partner, past 6 months38 | LARC versus OC, injectable, patch, ring | Null (OR=1.18, 95% CI=0.75, 1.87) |
Number of partners, 12 months64 (dichotomized as ≥4 versus <4)a,c | IUD versus OC, patch | Null (RR=0.24, 95% CI=0.03, 1.77) |
Raw numbers were extracted or calculated on the basis of the dichotomy noted, and Comprehensive Meta-Analysis was used to generate a relative risk.
95% CI was calculated using mean, SD, and sample size.
Raw numbers were calculated on the basis of weighted percentages and unweighted ns.
APR, adjusted prevalence ratio; IUD, intrauterine device; LARC, long-acting reversible contraception; OC, oral contraception.
Sexually Transmitted Infection–Related Services
Only 2 studies compared STI-related services between LARC and moderately effective method users, so findings are synthesized qualitatively. Overall, 13 relevant associations were reported given different comparisons, outcome measures, and timing of service receipt. A total of 10 of these findings addressed CT testing—most were null, yet 3 associations indicated that LARC users were less likely to be tested, and 1 association indicated that LARC users were more likely to be tested (data not shown).
DISCUSSION
Considering the recent increase in studies regarding the relationship between LARC and condom use and mixed findings across multiple studies, this review synthesizes the existing evidence to provide some clarity for clinicians and public health practitioners. In addition, the synthesis of research on other sexual behaviors, receipt of STI-related services, and STIs serves to contextualize the findings about condom use in relation to STI risk and prevention. Pooled effect estimates suggest that LARC users are approximately 40%–60% less likely than moderately effective method users to use condoms. This relationship remained in all possible sensitivity analyses accounting for study quality, contributing to confidence in the overall pooled effects. Lower likelihood of condom use for LARC users than for oral contraceptive users was also observed when restricting to studies with only adolescents and young adults, which is concerning given their disproportionate burden of STIs.12
However, the implications of this association for STI prevention remain unclear given the synthesis of other outcomes. Meta-analysis of STIs yielded inconsistent findings. Pooled estimates comparing CT/GC infection between LARC users and oral contraception, injectable, patch, or ring users were not statistically significant, although the overall effect estimate for the comparison between LARC users and oral contraceptive users suggested increased CT/GC risk. In addition, this risk association was significant in 1 sensitivity analysis. LARC users were also significantly more likely to have trichomoniasis than oral contraceptive users, although the association did not remain significant in the sensitivity analysis limited to prospective studies. The reasons for these mixed findings are unclear. One possibility is that the null findings reflect limited statistical power given the relatively low prevalence of STIs. Another possibility is that observed differences reflect biological rather than behavioral mechanisms unique to specific STIs and contraceptives.65–68 For example, a recent review found a protective effect between oral contraception and trichomoniasis65—this could be underlying what may appear to be increased risk among LARC users relative to oral contraceptive users.
The qualitative synthesis of other sexual behaviors, beyond condom use, did not suggest that LARC users are at differential risk for STIs. All findings from the qualitative synthesis of frequency of sex and substance use before sex were null, and findings related to number of sex partners were mixed. However, heterogeneity in outcome measures precluded meta-analysis, so additional research is needed to draw more definitive conclusions. In addition, there are insufficient data (only 2 studies58,62) on STI-related services by contraceptive type, although it is promising that most findings did not indicate that the reduced need for contraceptive visits with LARC methods impacted receipt of STI services.
Further research to clarify the mixed findings for other sexual behaviors and STI diagnoses is needed, especially among adolescents and young adults. Heterogeneity in indicators of sexual risk underscores a need to identify and consistently use the most appropriate measures to evaluate STI risk. Behaviors and characteristics related to partnerships (e.g., number of sex partners, partner concurrency) may be most salient, and network analyses that consider differences in sexual networks by contraceptive type may be warranted. As for STI diagnoses, studies can examine medical claims databases with large, national samples to increase statistical power and generalizability. For example, a study published since our literature search used Medicaid claims data to compare a variety of STI diagnoses between LARC users and oral contraceptive users (most associations were null).69 To ensure that any differences in STI diagnoses are not attributable to differential receipt of STI testing, such analyses should also adjust for STI testing, as another recent study did.70 Particular attention to differences in CT/GC testing by contraceptive type among sexually active female adults aged <25 years is warranted because these services are recommended annually for this population.71 It will be important to distinguish between new and continuing LARC users because any decrease in STI testing in relation to recommendations for annual testing may be observed in the years after LARC method initiation.62
As research on LARC and condom use continues,72,73 there is a need for studies that explicitly examine the conceptual framework presented in this review, considering dimensions of STI risk, prevention, and care in concert. For example, studies comparing condom use by contraceptive type should account for number of partners or relationship type as a potential confounder, as a recently published study that found no association between LARC and condom use has done.72 There were insufficient data from the review (only 5 studies38,40,45–47) to conduct sensitivity analyses by partnership characteristics. That said, the pooled estimate for LARC versus that for the combined indicator for moderately effective methods is based on 3 studies that all controlled for this potential confounder;38,40,47 the other 2 studies that included a relevant covariate also found a risk association between LARC and condom use.45,46 Utilizing prospective study designs would help to ensure appropriate temporal ordering for causal inference. Some cohort studies have addressed whether condom use decreases after LARC initiation, and findings have been mixed.38,45,74 However, potential variation in condom use over time by contraceptive type has not been extensively explored. Longitudinal studies that consider the association between contraceptive type and STI diagnosis can examine condom use as a potential mediator. Future quantitative research that considers condom use motivations as a potential mediator of associations between contraceptive type and condom use would also be useful, especially given mixed findings from several recent qualitative studies exploring whether motivations to use condoms for additional pregnancy prevention explain observed differences in condom use between LARC users and moderately effective method users.75–76 Finally, there is a need to consider how associations may vary by demographic characteristics and how factors beyond the individual level, such as population-level differences in condom and contraceptive use (e.g., by race/ethnicity, urbanicity) and community-level prevalence of STIs, may affect observed relationships.
Any concerns about the implications of LARC use for STIs should not deter access to these highly effective contraceptive methods, including among adolescents and young adults. Rather, concerns underscore the value of integrating pregnancy and STI prevention in health education and clinical practice. Because condom use with more effective contraception may be primarily for backup pregnancy prevention, clearly explaining STI risk and emphasizing condom use as effective STI prevention in sexual health education materials and counseling is important. Explicitly addressing STI prevention in conjunction with pregnancy prevention methods provides an opportunity to assess STI-related risk and present a comprehensive array of prevention strategies in addition to condoms, including testing and mutual monogamy.20 Attention to STI testing would likely have the added benefit of minimizing any potential unintended consequences of LARC use in relation to healthcare utilization and receipt of recommended services. Finally, findings reinforce the potential value of multipurpose prevention technologies that prevent both pregnancy and certain STIs.78
Limitations
Study limitations should be considered. Condom use measures were self-reported and do not account for correctness of use. Most studies examining condom use were cross-sectional. Furthermore, not all prospective studies accounted for contraceptive method switching. In addition, ORs for condom use may overestimate effects given that the prevalence of condom use was not a rare outcome. Although RRs would be more appropriate, reported ORs were used to include adjusted findings when available. For other sexual behaviors and STI-related services, the inability to conduct meta-analyses owing to lack of literature is the most notable limitation. In addition, because eligible studies examined sexual risk behaviors as outcomes, any studies only assessing sexual risk behaviors before LARC initiation were not included. However, such data would also be informative in understanding whether LARC users were at differential risk of STIs. For STIs, most studies were not explicitly addressing the research question of interest; relevant data on sample sizes and proportions were the most robust findings that could be extracted. In addition, a few studies did not explicitly state that the examined STIs were genital infections, although it is unlikely that oropharyngeal infections were included on the basis of study descriptions. Finally, there was some evidence of publication bias when examining condom use for comparisons between LARC users and indicators combining moderately effective method users, and this review does not include gray literature (e.g., dissertations, conference abstracts, reports) that may be more likely to include null findings.
CONCLUSIONS
This review suggests that LARC users are less likely to use condoms than moderately effective method users. However, outstanding questions remain regarding the implications relating to STI prevention, especially given inconclusive results for other sexual behaviors, STI-related services, and actual STIs. These findings underscore the importance of integrating pregnancy and STI prevention in both research and public health and clinical practice. Future studies that account for the complex interplay among contraceptive use, sexual behavior, service utilization, and STIs, particularly among adolescents and young adults, would be useful. Understanding these relationships can help inform efforts to strengthen sexual and reproductive health.
Supplementary Material
ACKNOWLEDGMENTS
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.
No other financial disclosures were reported by the authors of this paper.
Footnotes
SUPPLEMENTAL MATERIAL
Supplemental materials associated with this article can be found in the online version at https://doi.org/10.1016/j.amepre.2021.04.032.
REFERENCES
- 1.Bearak J, Popinchalk A, Alkema L, Sedgh G. Global, regional, and subregional trends in unintended pregnancy and its outcomes from 1990 to 2014: estimates from a Bayesian hierarchical model. Lancet Glob Health. 2018;6(4):e380–e389. 10.1016/S2214-109X(18)30029-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Trussel J, Aiken ARA, Micks E, Guthrie KA, et al. Efficacy, safety, and personal considerations. In: Hatcher RA, Nelson AL, Trussell J, eds. Contraceptive Technology. New York, NY: Ayer Company Publishers, Inc., 2018. [Google Scholar]
- 3.Ricketts S, Klingler G, Schwalberg R. Game change in Colorado: widespread use of long-acting reversible contraceptives and rapid decline in births among young, low-income women. Perspect Sex Reprod Health. 2014;46(3):125–132. 10.1363/46e1714. [DOI] [PubMed] [Google Scholar]
- 4.Secura GM, Madden T, McNicholas C, et al. Provision of no-cost, long-acting contraception and teenage pregnancy. N Engl J Med. 2015;371(14):1316–1323. 10.1056/NEJMoa1400506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Harper CC, Rocca CH, Thompson KM, et al. Reductions in pregnancy rates in the USA with long-acting reversible contraception: a cluster randomised trial. Lancet. 2015;386(9993):562–568. 10.1016/S0140-6736(14)62460-0. [DOI] [PubMed] [Google Scholar]
- 6.Finer LB, Zolna MR. Declines in unintended pregnancy in the United States, 2008–2011. N Engl J Med. 2016;374(9):843–852. 10.1056/NEJMsa1506575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Walsh-Buhi ER, Helmy HL. Trends in long-acting reversible contraceptive (LARC) use, LARC use predictors, and dual-method use among a national sample of college women. J Am Coll Health. 2018;66 (4):225–236. 10.1080/07448481.2017.1399397. [DOI] [PubMed] [Google Scholar]
- 8.Kann L, McManus T, Harris WA, et al. Youth risk behavior surveillance - United States, 2017. MMWR Surveill Summ. 2018;67(8):1–114. 10.15585/mmwr.ss6708a1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Adedini SA, Omisakin OA, Somefun OD. Trends, patterns and determinants of long-acting reversible methods of contraception among women in sub-Saharan Africa. PLoS One. 2019;14(6):e0217574. 10.1371/journal.pone.0217574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Martinez GM, Abma JC. Sexual activity and contraceptive use among teenagers aged 15–19 in the United States, 2015–2017. NCHS Data Brief. 2020(366):1–8. https://www.cdc.gov/nchs/data/databriefs/db366-h.pdf. Accessed July 8, 2021. [PubMed] [Google Scholar]
- 11.Rowley J, Vander Hoorn S, Korenromp E, et al. Chlamydia, gonorrhoea, trichomoniasis and syphilis: global prevalence and incidence estimates, 2016. Bull World Health Organ. 2019;97(8):548–562P. 10.2471/BLT.18.228486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Centers for Disease Control and Prevention. Sexually Transmitted Disease Surveillance 2019. Atlanta, GA: U.S. Department of Health and Human Services; 2021. https://www.cdc.gov/std/statistics/2019/default.htm. [Google Scholar]
- 13.Gavin L, Moskosky S, Carter M, et al. Providing quality family planning services: recommendations of CDC and the U.S. Office of Population Affairs. MMWR Recomm Rep. 2014;63(RR-04):1–54. https://www.cdc.gov/mmwr/preview/mmwrhtml/rr6304a1.htm. Accessed July 8, 2021. [PubMed] [Google Scholar]
- 14.Menon S, Committee on Adolescence. Long-acting reversible contraception: specific issues for adolescents. Pediatrics. 2020;146(2): e2020007252. 10.1542/peds.2020-007252. [DOI] [PubMed] [Google Scholar]
- 15.Grubb LK, Committee on Adolescence. Barrier protection use by adolescents during sexual activity. Pediatrics. 2020;146(2):e2020007245. 10.1542/peds.2020-007245. [DOI] [PubMed] [Google Scholar]
- 16.Tyler CP, Whiteman MK, Kraft JM, et al. Dual use of condoms with other contraceptive methods among adolescents and young women in the United States. J Adolesc Health. 2014;54(2):169–175. 10.1016/j.jadohealth.2013.07.042. [DOI] [PubMed] [Google Scholar]
- 17.Farr SL, Kraft JM, Warner L, Anderson JE, Jamieson DJ. The integration of STD/HIV services with contraceptive services for young women in the United States. Am J Obstet Gynecol. 2009;201(2):142. 10.1016/j.ajog.2009.04.018. [DOI] [PubMed] [Google Scholar]
- 18.Centers for Disease Control and Prevention. STDs and HIV – CDC fact sheet. https://www.cdc.gov/std/hiv/stdfact-std-hiv-detailed.htm. Published 2020. Accessed May 12, 2021. [Google Scholar]
- 19.U.S. Preventive Services Task Force, Krist AH, Davidson KW, et al. Behavioral counseling interventions to prevent sexually transmitted infections: U.S. Preventive Services Task Force Recommendation Statement. JAMA. 2020;324(7):674–681. 10.1001/jama.2020.13095. [DOI] [PubMed] [Google Scholar]
- 20.Steiner RJ, Liddon N, Swartzendruber AL, Pazol K, Sales JM. Moving the message beyond the methods: toward integration of unintended pregnancy and sexually transmitted infection/HIV prevention. Am J Prev Med. 2018;54(3):440–443. 10.1016/j.amepre.2017.10.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Pazol K, Kramer MR, Hogue CJ. Condoms for dual protection: patterns of use with highly effective contraceptive methods. Public Health Rep. 2010;125(2):208–217. 10.1177/003335491012500209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Steiner RJ, Liddon N, Swartzendruber AL, Rasberry CN, Sales JM. Long-acting reversible contraception and condom use among female U.S. high school students: implications for sexually transmitted infection prevention. JAMA Pediatr. 2016;170(5):428–434. 10.1001/jamapediatrics.2016.0007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Darney PD, Callegari LS, Swift A, Atkinson ES, Robert AM. Condom practices of urban teens using Norplant contraceptive implants, oral contraceptives, and condoms for contraception. Am J Obstet Gynecol. 1999;180(4):929–937. 10.1016/s0002-9378(99)70664-2. [DOI] [PubMed] [Google Scholar]
- 24.Diaz T, Schable B, Chu SY. Relationship between use of condoms and other forms of contraception among human immunodeficiency virus-infected women. Obstet Gynecol. 1995;86(2):277–282. 10.1016/0029-7844(95)00144-g. [DOI] [PubMed] [Google Scholar]
- 25.Berenson AB, Wiemann CM, Rickerr VI, McCombs SL. Contraceptive outcomes among adolescents prescribed Norplant implants versus oral contraceptives after one year of use. Am J Obstet Gynecol. 1997;176(3):586–592. 10.1016/s0002-9378(97)70552-0. [DOI] [PubMed] [Google Scholar]
- 26.Hall KS, Patton EW, Crissman HP, Zochowski MK, Dalton VK. A population-based study of U.S. women’s preferred versus usual sources of reproductive health care. Am J Obstet Gynecol. 2015;213(3):352.e1–352.e14. 10.1016/j.ajog.2015.04.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097. 10.1371/journal.pmed.1000097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Stroup DF, Berlin JA, Morton SC, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. JAMA. 2000;283 (15):2008–2012. 10.1001/jama.283.15.2008. [DOI] [PubMed] [Google Scholar]
- 29.Fethers KA, Fairley CK, Hocking JS, Gurrin LC, Bradshaw CS. Sexual risk factors and bacterial vaginosis: a systematic review and meta-analysis. Clin Infect Dis. 2008;47(11):1426–1435. 10.1086/592974. [DOI] [PubMed] [Google Scholar]
- 30.Manhart LE, Koutsky LA. Do condoms prevent genital HPV infection, external genital warts, or cervical neoplasia? A meta-analysis. Sex Transm Dis. 2002;29(11):725–735. 10.1097/00007435-200211000-00018. [DOI] [PubMed] [Google Scholar]
- 31.Polis CB, Curtis KM. Use of hormonal contraceptives and HIV acquisition in women: a systematic review of the epidemiological evidence. Lancet Infect Dis. 2013;13(9):797–808. 10.1016/S1473-3099(13)70155-5. [DOI] [PubMed] [Google Scholar]
- 32.Wells GA, Shea B, O’Connell D, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Ottawa, Canada: The Ottawa Hospital. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Accessed May 14, 2021. [Google Scholar]
- 33.Rotenstein LS, Ramos MA, Torre M, et al. Prevalence of depression, depressive symptoms, and suicidal ideation among medical students: a systematic review and meta-analysis. JAMA. 2016;316(21):2214–2236. 10.1001/jama.2016.17324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Reda SF, Reda SM, Thomson WM, Schwendicke F. Inequality in utilization of dental services: a systematic review and meta-analysis. Am J Public Health. 2018;108(2):e1–e7. 10.2105/AJPH.2017.304180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Fonner VA, Kennedy CE, O’Reilly KR, Sweat MD. Systematic assessment of condom use measurement in evaluation of HIV prevention interventions: need for standardization of measures. AIDS Behav. 2014;18(12):2374–2386. 10.1007/s10461-013-0655-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Roan S Maker of Norplant decides to take product off market. Los Angeles Times. https://www.latimes.com/archives/la-xpm-2002-aug-05-he-norplant5-story.html. Published 2002. Accessed July 9, 2021. [Google Scholar]
- 37.Avonts D, Sercu M, Heyerick P, Vandermeeren I, Meheus A, Piot P. Incidence of uncomplicated genital infections in women using oral contraception or an intrauterine device: a prospective study. Sex Transm Dis. 1990;17(1):23–29. 10.1097/00007435-199001000-00006. [DOI] [PubMed] [Google Scholar]
- 38.Bastow B, Sheeder J, Guiahi M, Teal S. Condom use in adolescents and young women following initiation of long- or short-acting contraceptive methods. Contraception. 2018;97(1):70–75. 10.1016/j.contraception.2017.10.002. [DOI] [PubMed] [Google Scholar]
- 39.Berenson AB, Wiemann CM. Use of levonorgestrel implants versus oral contraceptives in adolescence: a case-control study. Am J Obstet Gynecol. 1995;172(4, pt 1):1128–1137. 10.1016/0002-9378(95)91471-4. [DOI] [PubMed] [Google Scholar]
- 40.Bernard C, Zhao Q, Peipert JF. Dual method use among long-acting reversible contraceptive users. Eur J Contracept Reprod Health Care. 2018;23(2):97–104. 10.1080/13625187.2018.1445850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Brahmbhatt H, Musoke R, Makumbi F, et al. Trichomonas vaginalis incidence associated with hormonal contraceptive use and HIV infection among women in Rakai, Uganda. J Sex Transm Dis. 2014;2014:916597. 10.1155/2014/916597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Brooks JP, Edwards DJ, Blithe DL, et al. Effects of combined oral contraceptives, depot medroxyprogesterone acetate and the levonorgestrel-releasing intrauterine system on the vaginal microbiome. Contraception. 2017;95(4):405–413. 10.1016/j.contraception.2016.11.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Ceruti M, Canestrelli M, Condemi V, et al. Methods of contraception and rates of genital infections. Clin Exp Obstet Gynecol. 1994;21(2):119–123. [PubMed] [Google Scholar]
- 44.Cropsey KL, Matthews C, Campbel S, Ivey S, Adawadkar S. Long-term, reversible contraception use among high-risk women treated in a university-based gynecology clinic: comparison between IUD and Depo-Provera. J Womens Health (Larchmt). 2010;19(2):349–353. 10.1089/jwh.2009.1518. [DOI] [PubMed] [Google Scholar]
- 45.Cushman LF, Romero D, Kalmuss D, Davidson AR, Heartwell S, Rulin M. Condom use among women choosing long-term hormonal contraception. Fam Plann Perspect. 1998;30(5):240–243. 10.2307/2991611. [DOI] [PubMed] [Google Scholar]
- 46.Eisenberg DL, Allsworth JE, Zhao Q, Peipert JF. Correlates of dual-method contraceptive use: an analysis of the National Survey of Family Growth (2006–2008). Infect Dis Obstet Gynecol. 2012;2012:717163. 10.1155/2012/717163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.El Ayadi AM, Rocca CH, Kohn JE, et al. The impact of an IUD and implant intervention on dual method use among young women: results from a cluster randomized trial. Prev Med. 2017;94:1–6. 10.1016/j.ypmed.2016.10.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Feldblum PJ, Caraway J, Bahamondes L, et al. Randomized assignment to copper IUD or depot-medroxyprogesterone acetate: feasibility of enrollment, continuation and disease ascertainment. Contraception. 2005;72(3):187–191. 10.1016/j.contraception.2005.03.006. [DOI] [PubMed] [Google Scholar]
- 49.Gavric-Lovrec V, Takac I. Use of various contraceptives and human papillomavirus 16 and 18 infections in women with cervical intraepithelial neoplasia. Int J STD AIDS. 2010;21(6):424–427. 10.1258/ijsa.2010.009580. [DOI] [PubMed] [Google Scholar]
- 50.Gosavi A, Ma Y, Wong H, Singh K. Knowledge and factors determining choice of contraception among Singaporean women. Singapore Med J. 2016;57(11):610–615. 10.11622/smedj.2015181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Guerreiro D, Gigante MA, Teles LC. Sexually transmitted diseases and reproductive tract infections among contraceptive users. Int J Gynaecol Obstet. 1998;63(suppl 1):S167–S173. 10.1016/s0020-7292(98)00201-x. [DOI] [PubMed] [Google Scholar]
- 52.Jenab A, Roghanian R, Golbang N, Golbang P, Chamani-Tabriz L. Comparison of three methods of DNA extraction in endocervical specimens for Chlamydia trachomatis infection by spectrophotometry, agarose gel, and PCR. Arch Immunol Ther Exp. 2010;58(3):227–234. 10.1007/s00005-010-0076-z. [DOI] [PubMed] [Google Scholar]
- 53.Kapiga SH, Shao JF, Lwihula GK, Hunter DJ. Risk factors for HIV infection among women in Dar-es-Salaam, Tanzania. J Acquir Immune Defic Syndr (1988). 1994;7(3):301–309. 10.1097/00002030-199801000-00009. [DOI] [PubMed] [Google Scholar]
- 54.Kleinschmidt I, Maggwa BN, Smit J, Beksinska ME, Rees H. Dual protection in sexually active women. S Afr Med J. 2003;93(11):854–857. [PubMed] [Google Scholar]
- 55.Lan PT, Lundborg CS, Phuc HD, et al. Reproductive tract infections including sexually transmitted infections: a population-based study of women of reproductive age in a rural district of Vietnam. Sex Transm Infect. 2008;84(2):126–132. 10.1136/sti.2007.027821. [DOI] [PubMed] [Google Scholar]
- 56.Porras C, Safaeian M, Gonz alez P, et al. Epidemiology of genital Chlamydia trachomatis infection among young women in Costa Rica. Sex Transm Dis. 2008;35(5):461–468. 10.1097/OLQ.0-b013e3181644b4c. [DOI] [PubMed] [Google Scholar]
- 57.Rezk M, Sayyed T, Masood A, Dawood R. Risk of bacterial vaginosis, Trichomonas vaginalis and Candida albicans infection among new users of combined hormonal contraception vs LNG-IUS. Eur J Contracept Reprod Health Care. 2017;22(5):344–348. 10.1080/13625187.2017.1365835. [DOI] [PubMed] [Google Scholar]
- 58.Rose SB, Garrett SM, Stanley J, Pullon SRH. Chlamydia testing and diagnosis following initiation of long-acting reversible contraception: a retrospective cohort study. Aust N Z J Obstet Gynaecol. 2017;57(6):665–675. 10.1111/ajo.12685. [DOI] [PubMed] [Google Scholar]
- 59.Schoenbaum EE, Chang CJ, Moore J, et al. Use of condoms and other contraceptive methods by HIV-infected and at-risk women. Clin J Womens Health. 2001;1(3):115–122. 10.1053/cjwh.2001.25543. [DOI] [Google Scholar]
- 60.Sharief M Ge nital infections among women using various contraceptive methods in Basra, Iraq. East Mediterr Health J. 1998;4(3):487–492. 10.26719/1998.4.3.487. [DOI] [Google Scholar]
- 61.Shrikhande SN, Joshi SG, Zodpey SP, Saoji AM. Chlamydia trachomatis in pelvic inflammatory disease. Indian J Pathol Microbiol. 1995;38(2):181–184. [PubMed] [Google Scholar]
- 62.Steiner RJ, Pazol K, Swartzendruber A, et al. Use of long-acting reversible contraception among adolescent and young adult women and receipt of sexually transmitted infection/human immunodeficiency virus-related services. J Adolesc Health. 2018;62(4):417–423. 10.1016/j.jadohealth.2017.10.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Suhonen S, Haukkamaa M, Jakobsson T, Rauramo I. Clinical performance of a levonorgestrel-releasing intrauterine system and oral contraceptives in young nulliparous women: a comparative study. Contraception. 2004;69(5):407–412. 10.1016/j.contraception.2003.11.008. [DOI] [PubMed] [Google Scholar]
- 64.Xu X, Macaluso M, Frost J, Anderson JE, Curtis K, Grosse SD. Characteristics of users of intrauterine devices and other reversible contraceptive methods in the United States. Fertil Steril. 2011;96(5):1138–1144. 10.1016/j.fertnstert.2011.08.019. [DOI] [PubMed] [Google Scholar]
- 65.McCarthy KJ, Gollub EL, Ralph L, van de Wijgert J, Jones HE. Hormonal contraceptives and the acquisition of sexually transmitted infections: an updated systematic review. Sex Transm Dis. 2019;46(5):290–296. 10.1097/OLQ.0000000000000975. [DOI] [PubMed] [Google Scholar]
- 66.Mohllajee AP, Curtis KM, Martins SL, Peterson HB. Hormonal contraceptive use and risk of sexually transmitted infections: a systematic review. Contraception. 2006;73(2):154–165. 10.1016/j.contraception.2005.08.012. [DOI] [PubMed] [Google Scholar]
- 67.Morrison CS, Turner AN, Jones LB. Highly effective contraception and acquisition of HIV and other sexually transmitted infections. Best Pract Res Clin Obstet Gynaecol. 2009;23(2):263–284. 10.1016/j.bpobgyn.2008.11.004. [DOI] [PubMed] [Google Scholar]
- 68.Soares LC, Braz FLTA, Araújo AR, Oliveira MAP. Association of sexually transmitted diseases with cervical ectopy: a systematic review. Sex Transm Dis. 2019;46(7):452–457. 10.1097/OLQ.0000000000000992. [DOI] [PubMed] [Google Scholar]
- 69.Derefinko KJ, Ashby S, Hayes T, et al. Sexually transmitted infections and contraceptive use in adolescents. Am J Prev Med. 2020;58(4):536–546. 10.1016/j.amepre.2019.11.012. [DOI] [PubMed] [Google Scholar]
- 70.Mendoza RM, Garbers S, Lin S, Stockwell MS, Warren M, Gold MA. Chlamydia infection among adolescent long-acting reversible contraceptive and shorter-acting hormonal contraceptive users receiving services at New York City school-based health centers. J Pediatr Adolesc Gynecol. 2020;33(1):53–57. 10.1016/j.jpag.2019.09.006. [DOI] [PubMed] [Google Scholar]
- 71.LeFevre ML. Screening for chlamydia and gonorrhea: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2014;161(12):902–910. 10.7326/M14-1981. [DOI] [PubMed] [Google Scholar]
- 72.Kortsmit K, Williams L, Pazol K, et al. Condom use with long-acting reversible contraception vs non-long-acting reversible contraception hormonal methods among postpartum adolescents. JAMA Pediatr. 2019;173(7):663–670. 10.1001/jamapediatrics.2019.1136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Nguyen J, Williams H, McNamee K, Shafeeu N, Vaisey A, Hocking J. Condom use among young women in Australia using long-acting reversible contraceptives or other hormonal contraceptives. Sex Health. 2019;16(6):574–579. 10.1071/SH19045. [DOI] [PubMed] [Google Scholar]
- 74.Rattray C, Wiener J, Legardy-Williams J, et al. Effects of initiating a contraceptive implant on subsequent condom use: a randomized controlled trial. Contraception. 2015;92(6):560–566. 10.1016/j.contraception.2015.06.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Lemoine J, Teal SB, Peters M, Guiahi M. Motivating factors for dual-method contraceptive use among adolescents and young women: a qualitative investigation. Contraception. 2017;96(5):352–356. 10.1016/j.contraception.2017.06.011. [DOI] [PubMed] [Google Scholar]
- 76.Steiner RJ, Swartzendruber A, Cushing K, et al. Being on the safe side: a qualitative study of condom use motivations according to contraceptive type among adolescents in Atlanta, Georgia. J Pediatr Adolesc Gynecol. 2019;32(4):388–394. 10.1016/j.jpag.2019.02.122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Raidoo S, Tschann M, Elia J, Kaneshiro B, Soon R. Dual-method contraception among adolescents and young people: are long-acting reversible contraception users different? A qualitative study. J Pediatr Adolesc Gynecol. 2020;33(1):45–52. 10.1016/j.jpag.2019.09.008. [DOI] [PubMed] [Google Scholar]
- 78.Guilamo-Ramos V, Reading M, Bowman AS, Perlman DC, Barrett S. Multipurpose prevention technologies: a global sexual and reproductive health priority. J Assoc Nurses AIDS Care. 2018;29(1):6–9. 10.1016/j.jana.2017.06.003. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.