Background: Large administrative databases often do not capture gender identity data, limiting researchers’ ability to identify transgender people and complicating the study of this population. Objective: The objective of this study was to develop methods for identifying transgender people in a large, national dataset for insured adults. Research Design: This was a retrospective analysis of administrative claims data. After using gender identity disorder (GID) diagnoses codes, the current method for identifying transgender people in administrative data, we used the following 2 strategies to improve the accuracy of identifying transgender people that involved: (1) Endocrine Disorder Not Otherwise Specified (Endo NOS) codes and a transgender-related procedure code; or (2) Receipt of sex hormones not associated with the sex recorded in the patient’s chart (sex-discordant hormone therapy) and an Endo NOS code or transgender-related procedure code. Subjects: Seventy-four million adults 18 years and above enrolled at some point in commercial or Medicare Advantage plans from 2006 through 2017. Results: We identified 27,227 unique transgender people overall; 18,785 (69%) were identified using GID codes alone. Using Endo NOS with a transgender-related procedure code, and sex-discordant hormone therapy with either Endo NOS or transgender-related procedure code, we added 4391 (16%) and 4051 (15%) transgender people, respectively. Of the 27,227 transgender people in our cohort, 8694 (32%) were transmasculine, 3959 (15%) were transfeminine, and 14,574 (54%) could not be classified. Conclusion: In the absence of gender identity data, additional data elements beyond GID codes improves the identification of transgender people in large, administrative claims databases.

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Background Conversion rates during minimally invasive surgery are generally examined in the limited scope of a particular procedure. However, for a hospital or payor, the cumulative impact of conversions during commonly performed procedures could have a much larger negative effect than what is appreciated by individual surgeons. The aim of this study is to assess open conversion rates during minimally invasive surgery (MIS) across common procedures using laparoscopic/thoracoscopic (LAP/VATS) and robotic-assisted (RAS) approaches. Study design Retrospective cohort study using the Premier Database on patients who underwent common operations (hysterectomy, lobectomy, right colectomy, benign sigmoidectomy, low anterior resection, inguinal and ventral hernia repair, and partial nephrectomy) between January 2013 and September 2015. ICD-9 and CPT codes were used to define procedures, modality, and conversion. Propensity scores were calculated using patient, hospital, and surgeon characteristics. Propensity-score matched analysis was used to compare conversions between LAP/VATS and RAS for each procedure. Results A total of 278,520 patients had MIS approaches of the ten operations. Conversion occurred in 5% of patients and was associated with a 1.77 day incremental increase in length of stay and $3441 incremental increase in cost. RAS was associated with a 58.5% lower rate of conversion to open surgery compared to LAP/VATS. Conclusion At a health system or payer level, conversion to open is detrimental not just for the patient and surgeon but also puts a significant strain on hospital resources. Use of RAS was associated with less than half of the conversion rate observed for LAP/VATS.

Objectives. To examine patterns of and factors associated with housing stability over time among people living with HIV (PLWH) experiencing homelessness with co-occurring substance use and mental health disorders enrolled in a patient-centered medical home (PCMH) intervention. Methods. Between September 2013 and February 2017, we ascertained housing trajectories among PLWH in 9 sites in the United States by conducting interviews at baseline, 6, and 12 months after and dichotomized them as improved consistently versus did not improve consistently. We identified covariates affecting housing stability using the socioecological model. Results. Forty-three percent (n = 198) experienced consistent housing improvement. Participants with history of mental health diagnosis (adjusted odds ratio [AOR] = 1.55; 95% confidence interval [CI] = 1.02, 2.35; P = .04) or trauma (AOR = 1.72; 95% CI = 1.22, 2.41; P = .006) had improved housing status; those with recent injecting drug use (AOR = 0.41; 95% CI = 0.19, 0.90; P = .03) had less consistent housing improvement. Conclusions. Improved housing stability may possibly reflect the importance of PCMH interventions that integrate housing, health, and behavioral services with patient navigators to address complex needs of PLWH experiencing homelessness.

Background No previous paper has examined alcohol advertising on the internet versions of television programs popular among underage youth. Objectives To assess the volume of alcohol advertising on web sites of television networks which stream television programs popular among youth. Methods Multiple viewers analyzed the product advertising appearing on 12 television programs that are available in full episode format on the internet. During a baseline period of one week, six coders analyzed all 12 programs. For the nine programs that contained alcohol advertising, three underage coders (ages 10, 13, and 18) analyzed the programs to quantify the extent of that advertising over a four-week period. Results Alcohol advertisements are highly prevalent on these programs, with nine of the 12 shows carrying alcohol ads, and six programs averaging at least one alcohol ad per episode. There was no difference in alcohol ad exposure for underage and legal age viewers. Conclusions There is a substantial potential for youth exposure to alcohol advertising on the internet through internet-based versions of television programs. The Federal Trade Commission should require alcohol companies to report the underage youth and adult audiences for internet versions of television programs on which they advertise.

Background Implementation of digital health (eHealth) generally involves adapting pre-established and carefully considered processes or routines, and still raises multiple ethical and legal dilemmas. This study aimed to identify challenges regarding responsibility and liability when prescribing digital health in clinical practice. This was part of an overarching project aiming to explore the most pressing ethical and legal obstacles regarding the implementation and adoption of digital health in the Netherlands, and to propose actionable solutions. Methods A series of multidisciplinary focus groups with stakeholders who have relevant digital health expertise were analysed through thematic analysis. Results The emerging general theme was ‘uncertainty regarding responsibilities’ when adopting digital health. Key dilemmas take place in clinical settings and within the doctor-patient relationship (‘professional digital health’). This context is particularly challenging because different stakeholders interact. In the absence of appropriate legal frameworks and codes of conduct tailored to digital health, physicians’ responsibility is to be found in their general duty of care. In other words: to do what is best for patients (not causing harm and doing good). Professional organisations could take a leading role to provide more clarity with respect to physicians’ responsibility, by developing guidance describing physicians’ duty of care in the context of digital health, and to address the resulting responsibilities. Conclusions Although legal frameworks governing medical practice describe core ethical principles, rights and obligations of physicians, they do not suffice to clarify their responsibilities in the setting of professional digital health. Here we present a series of recommendations to provide more clarity in this respect, offering the opportunity to improve quality of care and patients’ health. The recommendations can be used as a starting point to develop professional guidance and have the potential to be adapted to other healthcare professionals and systems.

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The San Francisco, California–based HIV Homeless-Health Outreach Mobile Engagement (HHOME) program aims to improve health and housing outcomes for multiply diagnosed people experiencing chronic homelessness whom the HIV care system has failed to reach. From 2014 to 2017, HHOME’s mobile multidisciplinary team served 106 clients. Viral suppression increased from 23.6% to 60%, and 73.8% obtained permanent supportive housing (n = 61). System-level changes included the adoption of city-wide standardized acuity assessment tools HIV Care Coordination Taskforce by community partners. This article highlights HHOME’s core components and its public health implications.