Exploring Reasons for Loss to Follow-up in Pregnancy of Unknown Location: A Mixed-Methods Study.

Objective: To quantify proportions of loss to follow-up in patients presenting with a pregnancy of unknown location and explore patients' perspectives on follow-up for pregnancy of unknown location. A pregnancy of unknown location is a scenario in which a patient has a positive pregnancy test but the pregnancy is not visualized on transvaginal ultrasound. Study Design: We conducted a retrospective cohort study of patients with pregnancy of unknown location who presented to an urban academic emergency department or complex family planning outpatient office. We sought to calculate the proportion of patients lost to follow-up, defined as inability to contact the patient within 2 weeks. We then conducted focus groups of patients diagnosed with a pregnancy of unknown location. We used thematic analysis to identify themes related to follow-up. Results: We reviewed 464 charts of patients diagnosed with pregnancy of unknown location. The median age in this cohort was 27 with most patients identifying as Black (80%, n = 370) and using public insurance (67%, n = 315). When looking at loss to follow-up rates, Black patients experienced loss to follow-up (20%, n = 72) more often than White patients (4%, n = 2; p = 0.003). Focus group participants had a mean age of 31.8+/-4.8, and the majority were of Black race (n = 16, 72.7%). Participants identified barriers to follow-up including the long duration of management, general inconvenience, and poor communication with their health care team. Participants felt a burden of responsibility to learn about their condition and to self-advocate for their follow-up and communication of results. Conclusions: These data indicate that Black patients are more likely to experience loss to follow-up compared with White patients during monitoring for pregnancy of unknown location. Patients identified many barriers to follow-up and felt that successful follow-up required substantial self-efficacy.

Fetomaternal hemorrhage assessment in Rh-negative patients undergoing dilation and evacuation between 20 and 24 weeks' gestational age: A retrospective cohort study.

OBJECTIVE: To estimate the rate of requiring more than one 300-mcg Rh D immune globulin dose for fetomaternal hemorrhage (FMH) at the time of second-trimester dilation and evacuation (D + E). STUDY DESIGN: We performed a retrospective cohort analysis of patients at greater than 20 weeks' gestation who underwent D + E, had Rh D-negative blood type, and received FMH quantification testing. RESULTS: Of 25 eligible patients, 24 had negative quantification of FMH; one had positive quantification that did not meet the clinical threshold for additional dosing. CONCLUSIONS: The absolute risk of requiring additional Rh D immune globulin after D+E for pregnancies greater than 20 weeks' gestation was 0%.

Feasibility and acceptability of monitoring personal air pollution exposure with sensors for asthma self-management.

BACKGROUND: Exposure to fine particulate matter (PM2.5) increases the risk of asthma exacerbations, and thus, monitoring personal exposure to PM2.5 may aid in disease self-management. Low-cost, portable air pollution sensors offer a convenient way to measure personal pollution exposure directly and may improve personalized monitoring compared with traditional methods that rely on stationary monitoring stations. We aimed to understand whether adults with asthma would be willing to use personal sensors to monitor their exposure to air pollution and to assess the feasibility of using sensors to measure real-time PM2.5 exposure. METHODS: We conducted semi-structured interviews with 15 adults with asthma to understand their willingness to use a personal pollution sensor and their privacy preferences with regard to sensor data. Student research assistants used HabitatMap AirBeam devices to take PM2.5 measurements at 1-s intervals while walking in Philadelphia neighborhoods in May-August 2018. AirBeam PM2.5 measurements were compared to concurrent measurements taken by three nearby regulatory monitors. RESULTS: All interview participants stated that they would use a personal air pollution sensor, though the consensus was that devices should be small (watch- or palm-sized) and light. Patients were generally unconcerned about privacy or sharing their GPS location, with only two stating they would not share their GPS location under any circumstances. PM2.5 measurements were taken using AirBeam sensors on 34 walks that extended through five Philadelphia neighborhoods. The range of sensor PM2.5 measurements was 0.6-97.6 µg/mL (mean 6.8 µg/mL), compared to 0-22.6 µg/mL (mean 9.0 µg/mL) measured by nearby regulatory monitors. Compared to stationary measurements, which were only available as 1-h integrated averages at discrete monitoring sites, sensor measurements permitted characterization of fine-scale fluctuations in PM2.5 levels over time and space. CONCLUSIONS: Patients were generally interested in using sensors to monitor their personal exposure to PM2.5 and willing to share personal sensor data with health care providers and researchers. Compared to traditional methods of personal exposure assessment, sensors captured personalized air quality information at higher spatiotemporal resolution. Improvements to currently available sensors, including more reliable Bluetooth connectivity, increased portability, and longer battery life would facilitate their use in a general patient population.

Vision Testing Among Children Aged 3-5 Years in the United States, 2016-2017.

Childhood vision screenings may provide early detection of vision disorders and opportunities for subsequent treatment (1). The United States Preventive Service Task Force recommends that children aged 3-5 years receive a vision screening at least once to detect amblyopia (lazy eye), or its risk factors (2). This report examines the percentage of children aged 3-5 years who have ever had a vision test by selected characteristics using data from the vision supplement included in the 2016-2017 National Health Interview Survey (NHIS).