Pregnancy is a condition of broad interest across many medical and health services research domains, but one not easily identified in healthcare claims data. Our objective was to establish an algorithm to identify pregnant women and their pregnancies in claims data. We identified pregnancy-related diagnosis, procedure, and diagnosis-related group codes, accounting for the transition to International Statistical Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) diagnosis and procedure codes, in health encounter reporting on 10/1/2015. We selected women in Merative MarketScan commercial databases aged 15-49 years with pregnancy-related claims, and their infants, during 2008- 2019. Pregnancies, pregnancy outcomes, and gestational ages were assigned using the constellation of service dates, code types, pregnancy outcomes, and linkage to infant records. We describe pregnancy outcomes and gestational ages, as well as maternal age, census region, and health plan type. In a sensitivity analysis, we compared our algorithmassigned date of last menstrual period (LMP) to fertility procedure-based LMP (date of procedure + 14 days) among women with embryo transfer or insemination procedures. Among 5,812,699 identified pregnancies, most (77.9%) were livebirths, followed by spontaneous abortions (16.2%); 3,274,353 (72.2%) livebirths could be linked to infants. Most pregnancies were among women 25-34 years (59.1%), living in the South (39.1%) and Midwest (22.4%), with large employer-sponsored insurance (52.0%). Outcome distributions were similar across ICD-9 and ICD-10 eras, with some variation in gestational age distribution observed. Sensitivity analyses supported our algorithm's framework; algorithm- and fertility procedure-derived LMP estimates were within a week of each other (mean difference: -4 days [IQR: -13 to 6 days]; n = 107,870). We have developed an algorithm to identify pregnancies, their gestational age, and outcomes, across ICD-9 and ICD-10 eras using administrative data. This algorithm may be useful to reproductive health researchers investigating a broad range of pregnancy and infant outcomes.

Objective: In 2017, New Mexico approved an amendment allowing pharmacists to prescribe and dispense hormonal contraception. We interviewed rural New Mexico women to determine their perceptions of pharmacy access to hormonal contraception. Study design: We conducted semi-structured telephone interviews with women recruited from rural New Mexico communities. The interview guide explained the amendment followed by questions about the advantages and disadvantages of pharmacy access to hormonal contraception within rural communities. Results: Between November 2017 and May 2018, we recruited 32 women to participate. Participants were young (26/32 18–29 years old), gravid (27/31), employed (30/32), white (22/32) and Hispanic (26/31). The majority used Medicaid as their primary insurance (16/28). Most participants were supportive of pharmacy access to hormonal contraception. Participants saw their rural communities as facing health care barriers, some of which could be alleviated by pharmacy access. Perceived benefits of pharmacy access included convenience of pharmacy hours, shorter wait times, and no need for an appointment. Participants expressed concerns about lack of privacy in their pharmacies. Many expressed trust in their pharmacist to review side effects and explain usage of contraception- a role that was considered separate from that of a primary care provider who offers regular medical visits for routine screening and nuanced or complex discussions about contraception. Some participants expressed that pharmacy access could be especially beneficial for teens. Conclusions: Rural New Mexico women were supportive of pharmacy access to contraception and accept pharmacists as trusted members of the health care team. Implications: Rural New Mexico women find benefit in pharmacy access to hormonal contraception, citing improved access to contraceptives in their communities.