A pilot study of home-based genetic testing completion rate in telegenetics cancer clinics in West Virginia Appalachia.

Telegenetics has shifted some genetic testing performance to the patient's own home, with the patient collecting his/her own sample. Little is known regarding the rate of test completion of such home-based genetic testing. This study compared the completion rate of home-based genetic tests before and after a reminder system was implemented. In the pre-reminder group, we reviewed medical records for patients who were seen via telegenetics and agreed to complete genetic testing using an at-home test kit. In the reminder group, a prospective analysis of the genetic test completion rate was performed taking a clinical quality improvement approach where three reminders were provided for patients who had not submitted their at-home genetic testing. Our study included 94 patients' records: 46 pre-reminders and 48 reminders. The lab received 24 patient samples (52.2%) in the pre-reminder group. In the reminder group, 30 patients returned their kits (62.5%). Despite a higher percentage of patients completing their test in the reminder group, there was no statistically significant difference between the pre-reminder and reminder groups. The rate of test completion in our pilot test was statistically similar between the two groups, but the reminder group was trending toward a higher percent of completion which may be clinically meaningful.

Newborn Screening for Cystic Fibrosis: A Qualitative Study of Successes and Challenges from Universal Screening in the United States.

Cystic fibrosis (CF) newborn screening (NBS) was universally adopted in 2009 in the United States. Variations in NBS practices between states may impact the timing of diagnosis and intervention. Quantitative metrics can provide insight into NBS programs (NBSP), but the nuances cannot be elucidated without additional feedback from programs. This study was designed to determine facilitators and barriers to timely diagnosis and intervention following NBS for CF. The median age at the first CF event for infants with CF within each state was used to define early and late states (n = 15 per group); multiple CF centers were invited in states with more than two CF centers. Thirty states were eligible, and 61 NBSP and CF centers were invited to participate in structured interviews to determine facilitators and barriers. Once saturation of themes was reached, no other interviews were conducted. Forty-five interviews were conducted (n = 16 early CF center, n = 12 late CF center, n = 11 early NBSP, and n = 6 late NBSP). Most interviewees reported good communication between CF centers and NBSP. Communication between primary care providers (PCPs) and families was identified as a challenge, leading to delays in referral and subsequent diagnosis. The misperception of low clinical risk in infants from racial and ethnic minority groups was a barrier to early diagnostic evaluation for all groups. NBSP and CF centers have strong relationships. Early diagnosis may be facilitated through more engagement with PCPs. Quality improvement initiatives should focus on continuing strong partnerships between CF centers and NBS programs, improving education, communication strategies, and partnerships with PCPs, and improving CF NBS timeliness and accuracy.

Infants with Congenital Disorders Identified Through Newborn Screening - United States, 2015-2017.

Newborn screening (NBS) identifies infants at risk for congenital disorders for which early intervention has been shown to improve outcomes (1). State public health programs are encouraged to screen for disorders on the national Recommended Uniform Screening Panel (RUSP), which increased from 29 disorders in 2005 to 35 in 2018.* The RUSP includes hearing loss (HL) and critical congenital heart defects, which can be detected through point-of-care screening, and 33 disorders detected through laboratory screening of dried blood spot (DBS) specimens. Numbers of cases for 33 disorders on the RUSP (32 DBS disorders and HL) reported by 50 U.S. state programs were tabulated. The three subtypes of sickle cell disease (SCD) listed as separate disorders on the RUSP (S,S disease; S,beta-thalassemia; and S,C disease) were combined for the current analysis, and the frequencies of the resulting disorders were calculated relative to annual births. During 2015-2017, the overall prevalence was 34.0 per 10,000 live births. Applying that frequency to 3,791,712 live births in 2018,† approximately 12,900 infants are expected to be identified each year with one of the disorders included in the study. The most prevalent disorder is HL (16.5 per 10,000), and the most prevalent DBS disorders are primary congenital hypothyroidism (CH) (6.0 per 10,000), SCD (4.9 per 10,000), and cystic fibrosis (CF) (1.8 per 10,000). Notable changes in prevalence for each of these disorders have occurred since the previous estimates based on 2006 births (2). The number of infants identified at a national level highlights the effect that NBS programs are having on infant health through early detection, intervention, and potential improved health, regardless of geographic, racial/ethnic, or socioeconomic differences.

Priorities in Fertility Decisions for Reproductive-Aged Cancer Patients: Fertility Attitudes and Cancer Treatment Study.

PURPOSE: The Fertility Attitudes and Cancer Treatment Study (FACTS) aims at better understanding the reasons and priorities of young adult cancer patients making decisions for fertility preservation (FP). Identifying the factors that center around a patient's fertility decisions will support the development of educational tools for providers and improve clinical care to meet patients' reproductive needs. METHODS: An exploratory qualitative study was conducted of 27 newly diagnosed male and female cancer patients who had presented for an oncofertility consultation. Interviews lasted ∼30 minutes and were transcribed verbatim. A thematic analysis was conducted to explore the factors driving decisions for future fertility. Themes were grouped to address the following topics: reasons for/against FP, patient priorities, informational needs, support, wellness, and satisfaction with information. Strength of the theme was determined by examining the frequency of a response. RESULTS: Patients who chose FP versus those who did not choose FP and men versus women proved to be more similar than different in their reasoning, priorities, and informational needs for FP decisions. Patients who chose FP identified a "concern for future fertility" as a top reason to do so and "parenthood" as a top priority. For those who did not choose FP, "cancer treatment" was identified as their top priority. For patients identifying financial barriers, 50% of them were able to overcome this to pursue FP. CONCLUSIONS: Reproductive-aged patients diagnosed with a new cancer should be referred to a reproductive specialist and provided the opportunity to come to a fertility decision on their own before initiating cancer treatment.