Shared decision-making and disease management in advanced cancer and chronic kidney disease using patient-reported outcome dashboards.

OBJECTIVES: To assess the use of a co-designed patient-reported outcome (PRO) clinical dashboard and estimate its impact on shared decision-making (SDM) and symptomatology in adults with advanced cancer or chronic kidney disease (CKD). MATERIALS AND METHODS: We developed a clinical PRO dashboard within the Northwestern Medicine Patient-Reported Outcomes system, enhanced through co-design involving 20 diverse constituents. Using a single-group, pretest-posttest design, we evaluated the dashboard's use among patients with advanced cancer or CKD between June 2020 and January 2022. Eligible patients had a visit with a participating clinician, completed at least two dashboard-eligible visits, and consented to follow-up surveys. PROs were collected 72 h prior to visits, including measures for chronic condition management self-efficacy, health-related quality of life (PROMIS measures), and SDM (collaboRATE). Responses were integrated into the EHR dashboard and accessible to clinicians and patients. RESULTS: We recruited 157 participants: 66 with advanced cancer and 91 with CKD. There were significant improvements in SDM from baseline, as assessed by collaboRATE scores. The proportion of participants reporting the highest level of SDM on every collaboRATE item increased by 15 percentage points from baseline to 3 months, and 17 points between baseline and 6-month follow-up. Additionally, there was a clinically meaningful decrease in anxiety levels over study period (T-score baseline: 53; 3-month: 52; 6-month: 50; P < .001), with a standardized response mean (SRM) of -0.38 at 6 months. DISCUSSION: PRO clinical dashboards, developed and shared with patients, may enhance SDM and reduce anxiety among patients with advanced cancer and CKD.

The Association of Medical Cannabis Use with Pain Levels and Opioid Use in Illinois' Opioid Alternative Pilot Program.

OBJECTIVE: The state of Illinois' Opioid Alternative Pilot Program (OAPP) is the first and only official harm-reduction program in the US to address the opioid crisis via facilitation of safe and legal access to medical cannabis. This study evaluates the association of medical cannabis use with pain level and frequency of opioid use in the first cohort of OAPP participants in 2019. METHODS: A survey was sent OAPP enrollees between February and July 2019. Cannabis users (n = 626) were compared to non-users (n = 234) to determine whether there was an association between cannabis use and self-reported (a) pain level and (b) frequency of opioid use. Backward stepwise regression models were used. RESULTS: A total of 860 participants was included in the analysis. Overall, 75% of the study sample reported pain as their primary medical symptom, and 67% of cannabis users reported having a disability. The mean difference in pain level between cannabis users and non-users was 4.5 units (on a 100-point scale) higher among cannabis users than non-users (p = 0.03); and cannabis use was statistically associated with pain level. High-frequency opioid users had lower odds of reporting cannabis use within the past year than low/no opioid users. CONCLUSIONS: Although there was a statistical association between cannabis use and pain, the difference of 4.5 points in pain level between users and non-users was too small to reflect a clinically meaningful relative difference. This study may provide useful information to providers and clinicians about how the OAPP and similar programs may reduce opioid use and improve health outcomes.

Virtual Job Interview Training: A Dose Response to Improve Employment for Transition-Age Youth With Disabilities.

Virtual Interview Training for Transition Age Youth and Virtual Reality Job Interview Training are job interview simulators with demonstrated effectiveness in randomized controlled trials. We evaluated their dose responses via secondary data analysis of 558 transition-age youth with disabilities in 47 schools where the simulators were implemented in quasi-experimental studies. Cut-point analyses determined dosing efficiency and efficacy to optimize competitive employment. The most efficient dose when accounting for the balance between dose and employment was completing nine virtual interviews. The most efficacious dose to maximize the likelihood of successful employment was 38, but varied across race, IQ, IDEA categories and employment history. This study provides a novel approach to inform implementation guidelines for virtual interview training in pre-employment transition services. Limitations and implications for research and practice are discussed.

Multilevel perspectives on the implementation of the collaborative care model for depression and anxiety in primary care.

BACKGROUND: The Collaborative Care Model (CoCM) is an evidence-based mental health treatment in primary care. A greater understanding of the determinants of successful CoCM implementation, particularly the characteristics of multi-level implementers, is needed. METHODS: This study was a process evaluation of the Collaborative Behavioral Health Program (CBHP) study (NCT04321876) in which CoCM was implemented in 11 primary care practices. CBHP implementation included screening for depression and anxiety, referral to CBHP, and treatment with behavioral care managers (BCMs). Interviews were conducted 4- and 15-months post-implementation with BCMs, practice managers, and practice champions (primary care clinicians). We used framework-guided rapid qualitative analysis with the Consolidated Framework for Implementation Research, Version 2.0, focused on the Individuals domain, to analyze response data. These data represented the roles of Mid-Level Leaders (practice managers), Implementation Team Members (clinicians, support staff), Innovation Deliverers (BCMs), and Innovation Recipients (primary care/CBHP patients) and their characteristics (i.e., Need, Capability, Opportunity, Motivation). RESULTS: Mid-level leaders (practice managers) were enthusiastic about CBHP (Motivation), appreciated integrating mental health services into primary care (Need), and had time to assist clinicians (Opportunity). Although CBHP lessened the burden for implementation team members (clinicians, staff; Need), some were hesitant to reallocate patient care (Motivation). Innovation deliverers (BCMs) were eager to deliver CBHP (Motivation) and confident in assisting patients (Capability); their opportunity to deliver CBHP could be limited by clinician referrals (Opportunity). Although CBHP alleviated barriers for innovation recipients (patients; Need), it was difficult to secure services for those with severe conditions (Capability) and certain insurance types (Opportunity). CONCLUSIONS: Overall, respondents favored sustaining CoCM and highlighted the positive impacts on the practice, health care team, and patients. Participants emphasized the benefits of integrating mental health services into primary care and how CBHP lessened the burden on clinicians while providing patients with comprehensive care. Barriers to CBHP implementation included ensuring appropriate patient referrals, providing treatment for patients with higher-level needs, and incentivizing clinician engagement. Future CoCM implementation should include strategies focused on education and training, encouraging clinician buy-in, and preparing referral paths for patients with more severe conditions or diverse needs. TRIAL REGISTRATION: ClinicalTrials.gov(NCT04321876). Registered: March 25,2020. Retrospectively registered.

Implementation Preparation Costs of Virtual Interview Training in Pre-Employment Transition Services: A Budget Impact Analysis.

Virtual Reality Job Interview Training (VR-JIT) and Virtual Interview Training for Transition Age Youth (VIT-TAY) demonstrated initial effectiveness at increasing employment among transition-age youth with disabilities engaged in pre-employment transition services. We characterized activities and estimated the labor and non-labor costs required to prepare schools to implement VR-JIT or VIT-TAY. Implementation preparation and support teams reported labor hours throughout the implementation preparation process. Implementation preparation labor hours at 43 schools cost approximately $1,427 per school, while non-labor costs were $100 per trainee (student). We estimated the replication of implementation preparation labor activities would cost $1,024 per school (range: $841-$1,208). Most costs were spent in delivery planning and teacher training. Given that implementation preparation costs can be barriers to intervention adoption, our results provide critical information for contemplating future implementation of VR-JIT or VIT-TAY.

Scalable Telehealth Cancer Care: integrated healthy lifestyle program to live well after cancer treatment.

Northwestern University's Center for Scalable Telehealth Cancer Care (STELLAR) is 1 of 4 Cancer Moonshot Telehealth Research Centers of Excellence programs funded by the National Cancer Institute to establish an evidence base for telehealth in cancer care. STELLAR is grounded in the Institute of Medicine's vision that quality cancer care includes not only disease treatment but also promotion of long-term health and quality of life (QOL). Cigarette smoking, insufficient physical activity, and overweight and obesity often co-occur and are associated with poorer treatment response, heightened recurrence risk, decreased longevity, diminished QOL, and increased treatment cost for many cancers. These risk behaviors are prevalent in cancer survivors, but their treatment is not routinely integrated into oncology care. STELLAR aims to foster patients' long-term health and QOL by designing, implementing, and sustaining a novel telehealth treatment program for multiple risk behaviors to be integrated into standard cancer care. Telehealth delivery is evidence-based for health behavior change treatment and is well suited to overcome access and workflow barriers that can otherwise impede treatment receipt. This paper describes STELLAR's 2-arm randomized parallel group pragmatic clinical trial comparing telehealth-delivered, coach-facilitated multiple risk behavior treatment vs self-guided usual care for the outcomes of reach, effectiveness, and cost among 3000 cancer survivors who have completed curative intent treatment. This paper also discusses several challenges encountered by the STELLAR investigative team and the adaptations developed to move the research forward.

Proactive cursorial and ambush predation risk avoidance in four African herbivore species.

Most herbivores must balance demands to meet nutritional requirements, maintain stable thermoregulation and avoid predation. Species-specific predator and prey characteristics determine the ability of prey to avoid predation and the ability of predators to maximize hunting success. Using GPS collar data from African wild dogs, lions, impala, tsessebes, wildebeest and zebra in the Okavango Delta, Botswana, we studied proactive predation risk avoidance by herbivores. We considered predator activity level in relation to prey movement, predator and prey habitat selection, and preferential use of areas by prey. We compared herbivore behaviour to lion and wild dog activity patterns and determined the effect of seasonal resource availability and prey body mass on anti-predator behaviour. Herbivore movement patterns were more strongly correlated with lion than wild dog activity. Habitat selection by predators was not activity level dependent and, while prey and predators differed to some extent in their habitat selection, there were also overlaps, probably caused by predators seeking habitats with high prey abundance. Areas favoured by lions were used by herbivores more when lions were less active, whereas wild dog activity level was not correlated with prey use. Prey body mass was not a strong predictor of the strength of proactive predation avoidance behaviour. Herbivores showed stronger anti-predator behaviours during the rainy season when resources were abundant. Reducing movement when top predators are most active and avoiding areas with a high likelihood of predator use during the same periods appear to be common strategies to minimize predation risk. Such valuable insights into predator-prey dynamics are only possible when using similar data from multiple sympatric species of predator and prey, an approach that should become more prevalent given the ongoing integration of technological methods into ecological studies.

The role of artificial intelligence for the application of integrating electronic health records and patient-generated data in clinical decision support.

This narrative review aims to identify and understand the role of artificial intelligence in the application of integrated electronic health records (EHRs) and patient-generated health data (PGHD) in clinical decision support. We focused on integrated data that combined PGHD and EHR data, and we investigated the role of artificial intelligence (AI) in the application. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search articles in six databases: PubMed, Embase, Web of Science, Scopus, ACM Digital Library, and IEEE Computer Society Digital Library. In addition, we also synthesized seminal sources, including other systematic reviews, reports, and white papers, to inform the context, history, and development of this field. Twenty-six publications met the review criteria after screening. The EHR-integrated PGHD introduces benefits to health care, including empowering patients and families to engage via shared decision-making, improving the patient-provider relationship, and reducing the time and cost of clinical visits. AI's roles include cleaning and management of heterogeneous datasets, assisting in identifying dynamic patterns to improve clinical care processes, and providing more sophisticated algorithms to better predict outcomes and propose precise recommendations based on the integrated data. Challenges mainly stem from the large volume of integrated data, data standards, data exchange and interoperability, security and privacy, interpretation, and meaningful use. The use of PGHD in health care is at a promising stage but needs further work for widespread adoption and seamless integration into health care systems. AI-driven, EHR-integrated PGHD systems can greatly improve clinicians' abilities to diagnose patients' health issues, classify risks at the patient level by drawing on the power of integrated data, and provide much-needed support to clinics and hospitals. With EHR-integrated PGHD, AI can help transform health care by improving diagnosis, treatment, and the delivery of clinical care, thus improving clinical decision support.

Near real-time patient experience feedback with data relay to providers: a systematic review of its effectiveness.

Near Real-Time Feedback (NRTF) on the patient's experience with care, coupled with data relay to providers, can inform quality-of-care improvements, including at the point of care. The objective is to systematically review contemporary literature on the impact of the use of NRTF and data relay to providers on standardized patient experience measures. Six scientific databases and five specialty journals were searched supplemented by snowballing search strategies, according to the registered study protocol. Eligibility included studies in English (2015-2023) assessing the impact of NRTF and data relay on standardized patient-reported experience measures as a primary outcome. Eligibility and quality appraisals were performed by two independent reviewers. An expert former patient (Patient and Family Advisory Council and communication sciences background) helped interpret the results. Eight papers met review eligibility criteria, including three randomized controlled trials (RCTs) and one non-randomized study. Three of these studies involved in-person NRTF prior to data relay (patient-level data for immediate corrective action or aggregated and peer-compared) and led to significantly better results in all or some of the experience measures. In turn, a kiosk-based NRTF achieved no better experience results. The remaining studies were pre-post designs with mixed or neutral results and greater risks of bias. In-person NRTF on the patient experience followed by rapid data relay to their providers, either patient-level or provider-level as peer-compared, can improve the patient experience of care. Reviewed kiosk-based or self-reported approaches combined with data relay were not effective. Further research should determine which approach (e.g. who conducts the in-person NRTF) will provide better, more efficient improvements and under which circumstances.

Cost, Quality, and Utilization After Hospital-Physician and Hospital-Post Acute Care Vertical Integration: A Systematic Review.

Vertical integration of health systems-the common ownership of different aspects of the health care system-continues to occur at increasing rates in the United States. This systematic review synthesizes recent evidence examining the association between two types of vertical integration-hospital-physician (n = 43 studies) and hospital-post-acute care (PAC; n = 10 studies)-and cost, quality, and health services utilization. Hospital-physician integration is associated with higher health care costs, but the effect on quality and health services utilization remains unclear. The effect of hospital-PAC integration on these three outcomes is ambiguous, particularly when focusing on hospital-SNF integration. These findings should raise some concern among policymakers about the trajectory of affordable, high-quality health care in the presence of increasing hospital-physician vertical integration but perhaps not hospital-PAC integration.

Systematic review of contemporary interventions for improving discharge support and transitions of care from the patient experience perspective.

AIM: To synthesize the impact of improvement interventions related to care coordination, discharge support and care transitions on patient experience measures. METHOD: Systematic review. Searches were completed in six scientific databases, five specialty journals, and through snowballing. Eligibility included studies published in English (2015-2023) focused on improving care coordination, discharge support, or transitional care assessed by standardized patient experience measures as a primary outcome. Two independent reviewers made eligibility decisions and performed quality appraisals. RESULTS: Of 1240 papers initially screened, 16 were included. Seven studies focused on care coordination activities, including three randomized controlled trials [RCTs]. These studies used enhanced supports such as improvement coaching or tailoring for vulnerable populations within Patient-Centered Medical Homes or other primary care sites. Intervention effectiveness was mixed or neutral relative to standard or models of care or simpler supports (e.g., improvement tool). Eight studies, including three RCTs, focused on enhanced discharge support, including patient education (e.g., teach back) and telephone follow-up; mixed or neutral results on the patient experience were also found and with more substantive risks of bias. One pragmatic trial on a transitional care intervention, using a navigator support, found significant changes only for the subset of uninsured patients and in one patient experience outcome, and had challenges with implementation fidelity. CONCLUSION: Enhanced supports for improving care coordination, discharge education, and post-discharge follow-up had mixed or neutral effectiveness for improving the patient experience with care, compared to standard care or simpler improvement approaches. There is a need to advance the body of evidence on how to improve the patient experience with discharge support and transitional approaches.

Population density and ranging behaviour of a generalist carnivore varies with human population.

Canid species are highly adaptable, including to urban and peri-urban areas, where they can come into close contact with people. Understanding the mechanisms of wild canid population persistence in these areas is key to managing any negative impacts. The resource dispersion hypothesis predicts that animal density increases and home range size decreases as resource concentration increases, and may help to explain how canids are distributed in environments with an urban-natural gradient. In Australia, dingoes have adapted to human presence, sometimes living in close proximity to towns. Using a targeted camera trap survey and spatial capture-recapture models, we estimated spatial variation in the population density and detection rates of dingoes on Worimi Country in the Great Lakes region of the NSW coast. We tested whether dingo home range and population densities varied across a gradient of human population density, in a mixed-use landscape including, urban, peri-urban, and National Park environs. We found human population density to be a strong driver of dingo density (ranging from 0.025 to 0.433 dingoes/km2 across the natural-urban gradient), and to have a negative effect on dingo home range size. The spatial scale parameter changed depending on survey period, being smaller in the peak tourism period, when human population increases in the area, than in adjacent survey periods, potentially indicating reduced home range size when additional resources are available. Our study highlights the potential value of managing anthropogenic resource availability to manage carnivore densities and potential risk of human-carnivore interactions.

Complex Trauma Exposure and Placement Stability among Systems-Impacted Black and Latinx Youth: The Mediating Role of Multisystemic Strengths.

The purpose of this study is to investigate the mediating role of multisystemic strengths in the association between complex trauma (CT) exposure and placement stability among racialized youth using the Child and Adolescent Needs and Strength (CANS) assessment. Participants were 4022 Black and Latinx youth in the child welfare system in a midwestern state. Negative binomial regressions revealed a significant indirect effect of CT exposure on placement stability through interpersonal strengths (p < .01), coping skills (p < .001), optimism (p < .01), and talents/interests (p < .05). At the familial level, there was a significant indirect effect of CT exposure on placement stability through family strengths and relationship permanence (p < .001). At the community level, educational system supports, and community resources indirectly impacted the relationship between CT exposure and placement stability (p < .01). These findings suggest that early interventions aimed at identifying and developing multisystemic strengths in Black and Latinx youth in the child welfare system can help maximize placement stability.

How territoriality and sociality influence the habitat selection and movements of a large carnivore.

While territoriality is one of the key mechanisms influencing carnivore space use, most studies quantify resource selection and movement in the absence of conspecific influence or territorial structure. Our analysis incorporated social information in a resource selection framework to investigate mechanisms of territoriality and intra-specific competition on the habitat selection of a large, social carnivore. We fit integrated step selection functions to 3-h GPS data from 12 collared African wild dog packs in the Okavango Delta and estimated selection coefficients using a conditional Poisson likelihood with random effects. Packs selected for their neighbors' 30-day boundary (defined as their 95% kernel density estimate) and for their own 90-day core (defined as their 50% kernel density estimate). Neighbors' 30-day boundary had a greater influence on resource selection than any habitat feature. Habitat selection differed when they were within versus beyond their neighbors' 30-day boundary. Pack size, pack tenure, pup presence, and seasonality all mediated how packs responded to neighbors' space use, and seasonal dynamics altered the strength of residency. While newly-formed packs and packs with pups avoided their neighbors' boundary, older packs and those without pups selected for it. Packs also selected for the boundary of larger neighboring packs more strongly than that of smaller ones. Social structure within packs has implications for how they interact with conspecifics, and therefore how they are distributed across the landscape. Future research should continue to investigate how territorial processes are mediated by social dynamics and, in turn, how territorial structure mediates resource selection and movement. These results could inform the development of a human-wildlife conflict (HWC) mitigation tool by co-opting the mechanisms of conspecific interactions to manage space use of endangered carnivores.

Size matters: Natural experiments suggest the dear enemy effect is moderated by pack size in African wild dogs.

Remote monitoring of communal marking sites, or latrines, provides a unique opportunity to observe undisturbed scent marking behaviour of African wild dogs (Lycaon pictus). We used remote camera trap observations in a natural experiment to test behavioural scent mark responses to rivals (either familiar neighbours or unfamiliar strangers), to determine whether wild dogs exhibit the "dear enemy" or "nasty neighbour" response. Given that larger groups of wild dogs represent a greater threat to smaller groups, including for established residents, we predicted that the overarching categories "dear enemy" vs. "nasty neighbour" may be confounded by varying social statuses that exists between individual dyads interacting. Using the number of overmarks as a metric, results revealed an interaction between sender and receiver group size irrespective of familiarity consistent with this prediction: in general, individuals from large resident packs overmarked large groups more than they overmarked smaller groups, whereas individuals from smaller packs avoided overmarking larger groups, possibly to avoid detection. Monitoring a natural system highlights variables such as pack size that may be either overlooked or controlled during scent presentation experiments, influencing our ability to gain insights into the factors determining territorial responses to rivals.

Potential parental determinants of the pace of evidence-based practice change in children's mental health care.

BACKGROUND: Strength of evidence is key to advancing children's mental health care but may be inadequate for driving practice change. The Designing for Accelerated Translation (DART) framework proposes a multifaceted approach: pace of implementation as a function of evidence of effectiveness, demand for the intervention, sum of risks, and costs. To inform empirical applications of DART, we solicited caregiver preferences on key elements. METHOD: In March-April 2022, we fielded a population-representative online survey in Illinois households (caregivers N = 1,326) with ≥1 child <8 years old. Six hypothetical scenarios based on the DART framework were used to elucidate caregivers' preferences on a 0-10 scale (0 = never; 10 = as soon as possible) for pace of implementation of a family-based program to address mental health concerns. RESULTS: Caregivers' pace preference scores varied significantly for each scenario. The highest mean score (7.28, 95% confidence interval [95% CI: 7.06, 7.50]) was for a scenario in which the child's provider thinks the program would be helpful (effectiveness) and the caregiver believes the program is needed (demand). In contrast, the lowest mean score (5.13, 95% CI [4.91, 5.36]) was for a scenario in which online information implies the program would be helpful (effectiveness) and the parent is concerned about the program's financial costs (cost). Caregivers' pace preference scores did not vary consistently by sociodemographic factors. CONCLUSION: In this empirical exploration of the DART framework, factors such as demand, cost, and risk, in combination with evidence of effectiveness, may influence caregivers' preferred pace of implementation for children's mental health interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Depressive Symptoms, Antidepressants, and Clinical Outcomes in Chronic Kidney Disease: Findings from the CRIC Study.

Rationale & Objective: The extent to which depression affects the progression of chronic kidney disease (CKD) and leads to adverse clinical outcomes remains inadequately understood. We examined the association of depressive symptoms (DS) and antidepressant medication use on clinical outcomes in 4,839 adults with nondialysis CKD. Study Design: Observational cohort study. Setting and Participants: Adults with mild to moderate CKD who participated in the multicenter Chronic Renal Insufficiency Cohort Study (CRIC). Exposure: The Beck Depression Inventory (BDI) was used to quantify DS. Antidepressant use was identified from medication bottles and prescription lists. Individual effects of DS and antidepressants were examined along with categorization as follows: (1) BDI <11 and no antidepressant use, (2) BDI <11 with antidepressant use, (3) BDI ≥11 and no antidepressant use, and (4) BDI ≥11 with antidepressant use. Outcomes: CKD progression, incident cardiovascular disease composite, all-cause hospitalizations, and mortality. Analytic Approach: Cox regression models were fitted for outcomes of CKD progression, incident cardiovascular disease, and all-cause mortality, whereas hospitalizations used Poisson regression. Results: At baseline, 27.3% of participants had elevated DS, and 19.7% used antidepressants. Elevated DS at baseline were associated with significantly greater risk for an incident cardiovascular disease event, hospitalization, and all-cause mortality, but not CKD progression, adjusted for antidepressants. Antidepressant use was associated with higher risk for all-cause mortality and hospitalizations, after adjusting for DS. Compared to participants without elevated DS and not using antidepressants, the remaining groups (BDI <11 with antidepressants; BDI ≥11 and no antidepressants; BDI ≥11 with antidepressants) showed higher risks of hospitalization and all-cause mortality. Limitations: Inability to infer causality among depressive symptoms, antidepressants, and outcomes. Additionally, the absence of nonpharmacological data, and required exploration of generalizability and alternative analytical approaches. Conclusions: Elevated DS increased adverse outcome risk in nondialysis CKD, unattenuated by antidepressants. Additionally, investigation into the utilization and counterproductivity of antidepressants in this population is warranted.

We analyzed data from 4,839 nondialysis chronic kidney disease (CKD) patients in the Chronic Renal Insufficiency Cohort Study to explore how depression and antidepressants affect CKD-related outcomes. Using the Beck Depression Inventory (BDI), we assessed depressive symptoms (DS) and identified antidepressant use through medication records. Outcomes included CKD progression, cardiovascular events, hospitalizations, and mortality. Elevated DS at baseline raised the risk of cardiovascular events, hospitalizations, and mortality, regardless of antidepressant use. Antidepressant use alone was associated with higher mortality and hospitalization risks. In comparison to those without elevated DS and no antidepressant use, all other groups faced increased hospitalization and mortality risks. Elevated DS posed a significant risk to nondialysis CKD patients, and antidepressants did not mitigate this risk.

Male dingo urinary scents code for age class and wild dingoes respond to this information.

Chemical information in canid urine has been implicated in territoriality and influences the spacing of individuals. We identified the key volatile organic compound (VOC) components in dingo (Canis lupus dingo) urine and investigated the potential role of scents in territorial spacing. VOC analysis, using headspace gas chromatography-mass spectrometry (GC-MS), demonstrated that the information in fresh urine from adult male dingoes was sufficient to allow statistical classification into age categories. Discriminant function analyses demonstrated that the relative amounts or combinations of key VOCs from pre-prime (3-4 years), prime (5-9 years), and post-prime (≥10 years) males varied between these age categories, and that scents exposed to the environment for 4 (but not 33) days could still be classified to age categories. Further, a field experiment showed that dingoes spent less time in the vicinity of prime male dingo scents than other scents. Collectively, these results indicate that age-related scent differences may be discriminable by dingoes. Previous authors have suggested the potential to use scent as a management tool for wild canids by creating an artificial territorial boundary/barrier. Our results suggest that identifying the specific signals in prime-age male scents could facilitate the development of scent-based tools for non-lethal management.

Acceptance of Insurance by Psychiatrists and Other Physicians, 2007-2016.

OBJECTIVE: The authors aimed to analyze psychiatrists' and other physicians' acceptance of insurance and the associations between insurance acceptance and specific physician- and practice-level characteristics. METHODS: Using the restricted version of the National Ambulatory Medical Care Survey, January 2007-December 2016, the authors analyzed acceptance of private insurance, public insurance, and any insurance among psychiatrists compared with nonpsychiatrist physicians. Because data were considered restricted, all analyses were conducted at federal Research Data Center facilities. RESULTS: The unweighted sample included an average of 4,725 physicians per 2-year time grouping between 2007 and 2016, with an average of 7% being psychiatrists. Nonpsychiatrists participated in all insurance networks at higher rates than did psychiatrists, and the acceptance gap was wider for public (Medicare and Medicaid) than private (noncapitated and capitated) insurance. Among psychiatrists, those practicing in metropolitan statistical areas and those in solo practices were significantly less likely than their peers in other locations and treatment settings to accept private, public, or any insurance. These findings were also observed among nonpsychiatrists, although to a lesser extent. CONCLUSIONS: In addition to general policy interventions to improve insurance network adequacy for psychiatric care, additional measures or incentives to promote insurance network participation should be considered for psychiatrists in solo practices and those in metropolitan areas.