Contraception in Person-Contraception Online (CiP-CO) cohort study.

Emma Rezel-Potts ORCID logo; Melissa JPalmer; Caroline J Free ORCID logo; HannahMcCulloch; Paula Baraitser ORCID logo; (2021) Contraception in Person-Contraception Online (CiP-CO) cohort study. BMJ sexual & reproductive health, 48 (2). pp. 93-102. ISSN 2515-1991 DOI: 10.1136/bmjsrh-2021-201168
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BACKGROUND: Online contraception services increasingly provide information, clinical assessment and home-delivered oral contraceptives (OCs). Evidence is lacking on the effects of online contraceptive service use on short-term contraceptive continuation. METHODS: Cohort study comparing contraceptive continuation between new users of a free-to-access online OC service in South East London with those from other, face-to-face services in the same area. Online questionnaires collected data on participants' sociodemographic characteristics, motivations for OC access, service ratings, OC knowledge and contraceptive use. Contraceptive use in the 4-month study period was measured using health service records. Unadjusted and multivariable logistic regression models compared outcomes between the online service group and those using other services. RESULTS: Online service-users (n=138) were more likely to experience short-term continuation of OCs compared with participants using other services (n=98) after adjusting for sociodemographic and other characteristics (adjusted OR 2.94, 95% CI 1.52 to 5.70). Online service-users rated their service more highly (mean 25.22, SD 3.77) than the other services group (mean 22.70, SD 4.35; p<0.001), valuing convenience and speed of access. Among progestogen-only pill users, knowledge scores were higher for the online group (mean 4.83, SD 1.90) than the other services group (mean 3.87, SD 1.73; p=0.007). Among combined oral contraceptive users, knowledge scores were similar between groups. CONCLUSIONS: Free-to-access, online contraception has the potential to improve short-term continuation of OCs. Further research using a larger study population and analysis of longer-term outcomes are required to understand the impact of online services on unintended pregnancy.



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