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BACKGROUND: Recent research highlighting a shortage of pediatric subspecialists in the United States has shown wide variations in the distance from children to the nearest subspecialists but has not accounted for subspecialty outreach clinics, in which specialists may improve access in rural areas by periodically staffing clinics there. This study aimed to determine the impact of pediatric subspecialty outreach clinics on the driving times to the nearest pediatric subspecialists for children in Maine. METHODS: This cross-sectional study utilized administrative data on the schedule and location of pediatric subspecialty clinics in Maine in 2022 to estimate the driving time from each ZIP-code tabulation area to the nearest subspecialist, with and without the inclusion of outreach clinics. Using 2020 census data, we calculated the median and interquartile ranges of driving times for the state's overall child population, as well as for children living in urban and rural areas. RESULTS: Of 207,409 individuals under 20 years old in Maine, 68% were located closer to an outreach location than to a clinical hub. Across the seven subspecialties offering outreach clinics, outreach clinics decreased median driving times to the nearest pediatric subspecialist by 5 to 26 minutes among all children, and by 16 to 46 minutes among rural children. CONCLUSIONS: Pediatric subspecialty outreach clinics can substantially reduce the driving time to the nearest pediatric subspecialist , especially for children living in rural areas. The use of outreach clinics should be accounted for in research describing the geographic access or barriers to care. Expanding the number of outreach clinics should be considered by policymakers hoping to improve access.

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BACKGROUND: Children in need of pediatric subspecialty care may encounter multiple barriers, and multiple strategies have been suggested to improve access. The purpose of this study was to describe the perceptions of general and subspecialty pediatric physicians regarding barriers to subspecialty care and the value of strategies to improve subspecialty access. METHODS: We surveyed a national sample of 1680 general pediatricians and pediatric subspecialists in May and June 2020 regarding 11 barriers to subspecialty care and 9 strategies to improve access to subspecialty care, selected from recent literature. Using latent profile analysis, respondents were grouped according to the degree to which they believed each of the barriers impacted access to subspecialty care. Using chi-squared tests, we compared the profiles based on respondent characteristics and perspectives on strategies to improve access. RESULTS: The response rate was 17%. In 263 responses completed and eligible for inclusion, the barriers most frequently described as "major problems" were wait times (57%), lack of subspecialists (45%) and difficulty scheduling (41%). Respondents were classified into 4 profiles: "Broad concerns," "Subspecialist availability concerns," "Clinician communication concerns," and "Few concerns." These profiles varied significantly by respondent specialty (p < .001, with medical subspecialists overrepresented in the "Clinician communication" profile, psychiatrists in the "subspecialist availability" profile, and surgeons in the "few concerns" profile); and by respondents' typical wait time for appointments (p < .001, with physicians with the longest wait times overrepresented in the "subspecialist availability" profile). CONCLUSIONS: We found specific profiles in clinician views regarding barriers to subspecialty care which were associated with perspectives on strategies aimed at overcoming these barriers. These results suggest that health systems aiming to improve subspecialty access should first identify the barriers and preferences specific to local clinicians.

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BACKGROUND AND OBJECTIVES: Permanent supportive housing (PSH) integrates long-term housing and supports for families and individuals experiencing homelessness. Although PSH is frequently provided to families with children, little is known about the impacts of PSH among children. We examined changes in health care visits among children receiving PSH compared with similar children who did not receive PSH. METHODS: We analyzed Pennsylvania Medicaid administrative data for children entering PSH between 2011 and 2016, matching to a comparison cohort with similar demographic and clinical characteristics who received non-PSH housing services. We conducted propensity score-weighted difference-in-differences (DID) analyses to compare changes in health care visits 3 years before and after children entered PSH versus changes in the comparison cohort. RESULTS: We matched 705 children receiving PSH to 3141 in the comparison cohort. Over 3 years following PSH entry, dental visits among children entering PSH increased differentially relative to the comparison cohort (DID: 12.70 visits per 1000 person-months, 95% confidence interval: 3.72 to 21.67). We did not find differential changes in preventive medicine visits, hospitalizations, or emergency department (ED) visits overall. When stratified by age, children ≤5 years old at PSH entry experienced a greater decrease in ED visits relative to the comparison cohort (DID: -13.16 visits per 1000 person-months, 95% confidence interval: -26.23 to -0.10). However, emergency visit trends before PSH entry differed between the cohorts. CONCLUSIONS: Children in PSH had relatively greater increases in dental visits, and younger children entering PSH may have experienced relative reductions in ED visits. Policymakers should consider benefits to children when evaluating the overall value of PSH.

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Introduction: Although many studies have explored the perceived ease-of-use of telemedicine, the perceived usefulness of telemedicine for pediatric subspecialty care is less clear. Methods: We invited a national sample of 840 general pediatricians and 840 pediatric subspecialists to participate in a survey fielded in May-June 2020. Respondents ranked perceptions of usefulness of telemedicine for pediatric subspecialty care on a 5-point Likert scale and prioritization of potential strategies to support telemedicine use on a 4-point scale. Results: Of 285 respondents (18% response rate), physicians perceived that increased telemedicine use by pediatric subspecialists would modestly improve child health (mean = 3.5, standard deviation [SD] = 0.7), and access to care (mean = 3.9, SD = 0.6), but would slightly worsen the clinician experience (mean = 2.8, SD = 0.8). Most respondents highly prioritized payment-related strategies to support use of telemedicine. Conclusions: Pediatric clinicians anticipated that increased telemedicine use by pediatric subspecialists would improve child health and health care access but would worsen clinician experience.

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BACKGROUND: Evidence-based strategies are needed to support appropriate use of telemedicine for initial outpatient subspecialty consultative visits. To inform such strategies we performed a survey of general pediatricians and pediatric subspecialists about use of telemedicine for patients newly referred for pediatric subspecialty care. METHODS: We developed and fielded an e-mail and postal survey of a national sample of 840 general pediatricians and 840 pediatric subspecialists in May and June 2020. RESULTS: Of 266 completed surveys (17% response rate), 204 (76%) thought telemedicine should be offered for some and 29 (11%) thought telemedicine should be offered for all initial subspecialist visits. Most respondents who indicated telemedicine should be offered for some initial consultations believed this decision should be made by subspecialty attendings (176/204, 86%). Respondents prioritized several data elements to inform this decision, including clinical information and family-based contextual information (e.g., barriers to in-person care, interest in telemedicine, potential communication barriers). Factors perceived to reduce appropriateness of telemedicine for subspecialty consultation included need for interpreter services and prior history of frequent no-shows. Responses from generalists and subspecialists rarely differed significantly. CONCLUSIONS: Survey results suggest potential opportunities to support the appropriate use of telemedicine for initial outpatient pediatric subspecialty visits through structured transfer of specific clinical and contextual information at the time of referral and through strategies to mitigate perceived communication or engagement barriers. IMPLICATION: Pediatric physician beliefs about telemedicine for initial outpatient subspecialty consultative visits may inform future interventions to support appropriate telemedicine use. LEVEL OF EVIDENCE: Survey of a national sample of clinicians.

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BACKGROUND: Pregnancy is a time of heightened COVID-19 risk. Pregnant individuals' choice of specific protective health behaviors during pregnancy may be affected by information sources. OBJECTIVE: This study examined the association between COVID-19 information sources and engagement in protective health behaviors among a pregnant population in a large academic medical system. METHODS: Pregnant patients completed an app-based questionnaire about their sources of COVID-19 information and engagement in protective health behaviors. The voluntary questionnaire was made available to patients using a pregnancy app as part of their routine prenatal care between April 21 and November 27, 2020. RESULTS: In total, 637 pregnant responders routinely accessed a median of 5 sources for COVID-19 information. The most cited source (79%) was the Centers for Disease Control and Prevention (CDC). Self-reporting evidence-based protective actions was relatively common, although 14% self-reported potentially harmful behaviors to avoid COVID-19 infection. The CDC and other sources were positively associated with engaging in protective behaviors while others (eg, US president Donald Trump) were negatively associated with protective behaviors. Participation in protective behaviors was not associated with refraining from potentially harmful behaviors (P=.93). Moreover, participation in protective behaviors decreased (P=.03) and participation in potentially harmful actions increased (P=.001) over the course of the pandemic. CONCLUSIONS: Pregnant patients were highly engaged in COVID-19-related information-seeking and health behaviors. Clear, targeted, and regular communication from commonly accessed health organizations about which actions may be harmful, in addition to which actions offer protection, may offer needed support to the pregnant population.

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OBJECTIVES: Incomplete subspecialty referrals, whether unscheduled or unattended, represent unmet patient needs and an opportunity to improve patient safety and experiences. Our objectives were to describe the rates of appointment scheduling and visit attendance after pediatric subspecialty referral and to examine patient and systems factors associated with scheduled referrals and attended appointments. METHODS: We conducted a retrospective review of referrals within a network of 52 primary and urgent care sites from November 2016 to October 2017. We included referrals for children ≤17 years old referred to medical or surgical subspecialists. We examined patient and health systems factors associated with (1) appointment scheduling and (2) visit attendance. RESULTS: Of 20 466 referrals, 13 261 (65%) resulted in an appointment scheduled within 90 days and 10 514 (51%) resulted in a visit attended within 90 days. In adjusted analyses, referral to surgical subspecialists was associated with an increased likelihood of appointment scheduling but a decreased likelihood of visit attendance. Compared with appointments scheduled within 7 days, appointments with intervals from referral to scheduled appointment exceeding 7 days were associated with decreasing likelihood of visit attendance (adjusted odds ratio 8-14 days 0.48; 95% confidence interval 0.37-0.61). Patient factors associated with decreased likelihood of both appointment scheduling and visit attendance included African American race, public insurance, and lower zip code median income. CONCLUSIONS: Patient and system factors were associated with variation in appointment scheduling and visit attendance. Decreased interval to appointment was significantly associated with visit attendance. These factors represent targets for interventions to improve referral completion.

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Seaweeds inhabiting the extreme hydrodynamic environment of wave-swept shores break frequently. However, traditional biomechanical analyses, evaluating breakage due to the largest individual waves, have perennially underestimated rates of macroalgal breakage. Recent laboratory testing has established that some seaweeds fail by fatigue, accumulating damage over a series of force impositions. Failure by fatigue may thus account, in part, for the discrepancy between prior breakage predictions, based on individual not repeated wave forces, and reality. Nonetheless, the degree to which fatigue breaks seaweeds on wave-swept shores remains unknown. Here, we developed a model of fatigue breakage due to wave-induced forces for the macroalga Mazzaella flaccida. To test model performance, we made extensive measurements of M. flaccida breakage and of wave-induced velocities experienced by the macroalga. The fatigue-breakage model accounted for significantly more breakage than traditional prediction methods. For life history phases modeled most accurately, 105% (for female gametophytes) and 79% (for tetrasporophytes) of field-observed breakage was predicted, on average. When M. flaccida fronds displayed attributes such as temperature stress and substantial tattering, the fatigue-breakage model underestimated breakage, suggesting that these attributes weaken fronds and lead to more rapid breakage. Exposure to waves had the greatest influence on model performance. At the most wave-protected sites, the model underpredicted breakage, and at the most wave-exposed sites, it overpredicted breakage. Overall, our fatigue-breakage model strongly suggests that, in addition to occurring predictably in the laboratory, fatigue-induced breakage of M. flaccida occurs on wave-swept shores.

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