At-home hemoglobin A1c testing during COVID-19 improved glycemic control.

OBJECTIVES: COVID-19 has exacerbated barriers to routine testing for chronic disease management. This study investigates whether a home hemoglobin A1c (HbA1c) test kit intervention increases frequency of HbA1c testing and leads to changes in HbA1c 6 months post testing and whether self-reinforcement education improves maintenance of HbA1c testing. STUDY DESIGN: Retrospective analysis of a randomized, controlled quality improvement intervention among members with type 2 diabetes (T2D) in a large commercial health plan. METHODS: Participants were 41,214 commercial fully insured members with T2D without an HbA1c test in the past 6 months or with only 1 HbA1c test in the last 12 months. Members were randomly assigned to either a control group or an at-home HbA1c testing intervention group consisting of either an opt-in test or a direct-to-member opt-out HbA1c test kit shipment. A third cohort of members was assigned to a self-reinforcement group to encourage continued testing twice per year. Main outcomes were HbA1c testing rates and HbA1c levels (in %). RESULTS: A total of 11.1% (508 of 4590) at-home HbA1c kits were completed. At-home HbA1c test kits increased testing rates by 4.9% compared with controls (P < .001). Members with an HbA1c level of at least 7% who requested and completed at-home HbA1c testing had a 0.38% reduction in HbA1c in the 6 months post intervention when controlling for baseline HbA1c (P < .001). Members who received self-reinforcement messaging had a 0.37% HbA1c reduction post intervention (P = .015). CONCLUSIONS: This novel, at-home approach to test HbA1c is an effective intervention to increase testing rates and facilitate HbA1c reduction over time in patients with T2D.

Abortion attempts without clinical supervision among transgender, nonbinary and gender-expansive people in the United States.

BACKGROUND: Transgender, nonbinary and gender-expansive (TGE) people face barriers to abortion care and may consider abortion without clinical supervision. METHODS: In 2019, we recruited participants for an online survey about sexual and reproductive health. Eligible participants were TGE people assigned female or intersex at birth, 18 years and older, from across the United States, and recruited through The PRIDE Study or via online and in-person postings. RESULTS: Of 1694 TGE participants, 76 people (36% of those ever pregnant) reported considering trying to end a pregnancy on their own without clinical supervision, and a subset of these (n=40; 19% of those ever pregnant) reported attempting to do so. Methods fell into four broad categories: herbs (n=15, 38%), physical trauma (n=10, 25%), vitamin C (n=8, 20%) and substance use (n=7, 18%). Reasons given for abortion without clinical supervision ranged from perceived efficiency and desire for privacy, to structural issues including a lack of health insurance coverage, legal restrictions, denials of or mistreatment within clinical care, and cost. CONCLUSIONS: These data highlight a high proportion of sampled TGE people who have attempted abortion without clinical supervision. This could reflect formidable barriers to facility-based abortion care as well as a strong desire for privacy and autonomy in the abortion process. Efforts are needed to connect TGE people with information on safe and effective methods of self-managed abortion and to dismantle barriers to clinical abortion care so that TGE people may freely choose a safe, effective abortion in either setting.

Assessment of Remote Vital Sign Monitoring and Alarms in a Real-World Healthcare at Home Dataset.

The importance of vital sign monitoring to detect deterioration increases during healthcare at home. Continuous monitoring with wearables increases assessment frequency but may create information overload for clinicians. The goal of this work was to demonstrate the impact of vital sign observation frequency and alarm settings on alarms in a real-world dataset. Vital signs were collected from 76 patients admitted to healthcare at home programs using the Current Health (CH) platform; its wearable continuously measured respiratory rate (RR), pulse rate (PR), and oxygen saturation (SpO2). Total alarms, alarm rate, patient rate, and detection time were calculated for three alarm rulesets to detect changes in SpO2, PR, and RR under four vital sign observation frequencies and four window sizes for the alarm algorithms' median filter. Total alarms ranged from 65 to 3113. The alarm rate and early detection increased with the observation frequency for all alarm rulesets. Median filter windows reduced alarms triggered by normal fluctuations in vital signs without compromising the granularity of time between assessments. Frequent assessments enabled with continuous monitoring support early intervention but need to pair with settings that balance sensitivity, specificity, clinical risk, and provider capacity to respond when a patient is home to minimize clinician burden.

Development of an affirming and customizable electronic survey of sexual and reproductive health experiences for transgender and gender nonbinary people.

To address pervasive measurement biases in sexual and reproductive health (SRH) research, our interdisciplinary team created an affirming, customizable electronic survey to measure experiences with contraceptive use, pregnancy, and abortion for transgender and gender nonbinary people assigned female or intersex at birth and cisgender sexual minority women. Between May 2018 and April 2019, we developed a questionnaire with 328 items across 10 domains including gender identity; language used for sexual and reproductive anatomy and events; gender affirmation process history; sexual orientation and sexual activity; contraceptive use and preferences; pregnancy history and desires; abortion history and preferences; priorities for sexual and reproductive health care; family building experiences; and sociodemographic characteristics. Recognizing that the words people use for their sexual and reproductive anatomy can vary, we programmed the survey to allow participants to input the words they use to describe their bodies, and then used those customized words to replace traditional medical terms throughout the survey. This process-oriented paper aims to describe the rationale for and collaborative development of an affirming, customizable survey of the SRH needs and experiences of sexual and gender minorities, and to present summary demographic characteristics of 3,110 people who completed the survey. We also present data on usage of customizable words, and offer the full text of the survey, as well as code for programming the survey and cleaning the data, for others to use directly or as guidelines for how to measure SRH outcomes with greater sensitivity to gender diversity and a range of sexual orientations.

The Imperative for Transgender and Gender Nonbinary Inclusion: Beyond Women's Health.

We aim to make evident that solely referencing cisgender women in the context of sexual and reproductive health-particularly pregnancy planning and care-excludes a diverse group of transgender and gender nonbinary people who have sexual and reproductive health needs and experiences that can be similar to but also unique from those of cisgender women. We call on clinicians and researchers to ensure that all points of sexual and reproductive health access, research, sources of information, and care delivery comprehensively include and are accessible to people of all genders. We describe barriers to sexual and reproductive health care and research participation unique to people of marginalized gender identities, provide examples of harm resulting from these barriers, and offer concrete suggestions for creating inclusive, accurate, and respectful care and research environments-which will lead to higher quality health care and science for people of all genders.

What Factors Determine the Retention Behavior of Engineered Nanomaterials in Saturated Porous Media?

A fundamental problem associated with the vertical transport of engineered nanomaterials (ENMs) in saturated porous media is the occurrence of nonexponential, for example, nonmonotonic or linearly increasing, retention profiles. To investigate this problem, we compiled an extensive database of ENMs transport experiments in saturated porous media. Using this database we trained a decision tree that shows the order of importance, and range of influence, of the physicochemical factors that control the retention profile shape. Our results help identify domains where current particle-transport models can be used, but also highlight, for the first time, large domains where nonexponential retention profiles dominate and new approaches are needed to understand ENM transport. Importantly, highly advective flow and high ENM influent mass can mask the influence of other physicochemical factors on the retention profile shape; notably, this occurs in 50% of the experiments investigated. Where the relationship between physicochemical factors and retention profile shape can be investigated in detail, our results agree with, and provide validation for, the current understanding of how these factors influence ENM transport.

Critical assessment of models for transport of engineered nanoparticles in saturated porous media.

To reliably assess the fate of engineered nanoparticles (ENP) in soil, it is important to understand the performance of models employed to predict vertical ENP transport. We assess the ability of seven routinely employed particle transport models (PTMs) to simulate hyperexponential (HE), nonmonotonic (NM), linearly decreasing (LD), and monotonically increasing (MI) retention profiles (RPs) and the corresponding breakthrough curves (BTCs) from soil column experiments with ENPs. Several important observations are noted. First, more complex PTMs do not necessarily perform better than simpler PTMs. To avoid applying overparameterized PTMs, multiple PTMs should be applied and the best model selected. Second, application of the selected models to simulate NM and MI profiles results in poor model performance. Third, the selected models can well-approximate LD profiles. However, because the models cannot explicitly generate LD retention, these models have low predictive power to simulate the behavior of ENPs that present LD profiles. Fourth, a term for blocking can often be accounted for by parameter variation in models that do not explicitly include a term for blocking. We recommend that model performance be analyzed for RPs and BTCs separately; simultaneous fitting to the RP and BTC should be performed only under conditions where sufficient parameter validation is possible to justify the selection of a particular model.

Navigation for people with mild dementia.

Community dwelling is a problem for people with dementia. Can GPS route navigation support on a mobile device provide a solution? In a small scale exploratory research with this target group we studied the effects of two different types of audio instructions and assessed the pedestrian safety while operating the device. Methodological issues that limited the size and scope of data collection notwithstanding, evidence of unsafe behaviour was not found. Navigation instructions spoken by a familiar voice seemed to have a positive impact on the effectiveness of the navigation system, while the use of warning sounds seemed to have the opposite effect.