Steven Adelsheim, MD

  • Steven N Adelsheim



Work and Education

Professional Education

University of Cincinnati College of Medicine, Cincinnati, OH, 1985


University of New Mexico School of Medicine, Albuquerque, NM, 1988


University of New Mexico School of Medicine, Albuquerque, NM, 1990

Board Certifications

Child & Adolescent Psychiatry, American Board of Psychiatry and Neurology

Psychiatry, American Board of Psychiatry and Neurology

Conditions Treated

Adolescent Mental Health

All Publications

Personalized Prediction of Psychosis: External Validation of the NAPLS-2 Psychosis Risk Calculator With the EDIPPP Project AMERICAN JOURNAL OF PSYCHIATRY Carrion, R. E., Cornblatt, B. A., Burton, C. Z., Auther, A. M., Adelsheim, S., Calkins, R., Carter, C. S., Niendam, T., Sale, T. G., Taylor, S. F., McFarlane, W. R. 2016; 173 (10): 989-996


As part of the second phase of the North American Prodrome Longitudinal Study (NAPLS-2), Cannon and colleagues report, concurrently with the present article, on a risk calculator for the individualized prediction of a psychotic disorder in a 2-year period. The present study represents an external validation of the NAPLS-2 psychosis risk calculator using an independent sample of patients at clinical high risk for psychosis collected as part of the Early Detection, Intervention, and Prevention of Psychosis Program (EDIPPP).Of the total EDIPPP sample of 210 subjects rated as being at clinical high risk based on the Structured Interview for Prodromal Syndromes, 176 had at least one follow-up assessment and were included in the construction of a new prediction model with six predictor variables in the NAPLS-2 psychosis risk calculator (unusual thoughts and suspiciousness, symbol coding test performance, verbal learning test performance, decline in social functioning, baseline age, and family history). Discrimination performance was assessed with the area under the receiver operating characteristic curve (AUC). The NAPLS-2 risk calculator was then used to generate a psychosis risk estimate for each case in the external validation sample.The external validation model showed good discrimination, with an AUC of 0.790 (95% CI=0.644-0.937). In addition, the personalized risk generated by the risk calculator provided a solid estimation of the actual conversion outcome in the validation sample.Two independent samples of clinical high-risk patients converge to validate the NAPLS-2 psychosis risk calculator. This prediction calculator represents a meaningful step toward early intervention and the personalized treatment of psychotic disorders.

View details for DOI 10.1176/appi.ajp.2016.15121565

View details for Web of Science ID 000384158400010

View details for PubMedID 27363511

Early Detection, Intervention and Prevention of Psychosis Program: Community Outreach and Early Identification at Six US Sites PSYCHIATRIC SERVICES Lynch, S., McFarlane, W. R., Joly, B., Adelsheim, S., Auther, A., Cornblatt, B. A., Migliorati, M., Ragland, J. D., Sale, T., Spring, E., Calkins, R., Carter, C. S., Jaynes, R., Taylor, S. F., Downing, D. 2016; 67 (5): 510-516


This study assessed the effects of a community outreach and education model implemented as part of the Early Detection, Intervention and Prevention of Psychosis Program (EDIPPP), a national multisite study in six U.S. regions.EDIPPP's model was designed to generate rapid referrals of youths at clinical high risk of psychosis by creating a network of professionals and community members trained to identify signs of early psychosis. Qualitative and quantitative data were gathered through an evaluation of outreach efforts at five sites over a two-year period and through interviews with staff at all six sites. All outreach activities to groups (educational, medical, and mental health professionals; community groups; media; youth and parent groups; and multicultural communities) were counted for the six sites to determine correlations with total referrals and enrollments.During the study period (May 2007-May 2010), 848 formal presentations were made to 22,840 attendees and 145 informal presentations were made to 11,528 attendees at all six sites. These presentations led to 1,652 phone referrals. A total of 520 (31%) of these individuals were offered in-person orientation, and 392 (75%) of those were assessed for eligibility. A total of 337 individuals (86% of those assessed) met criteria for assignment to the EDIPPP study.EDIPPP's outreach and education model demonstrated the effectiveness of following a protocol-defined outreach strategy combined with flexibility to reach culturally diverse audiences or initially inaccessible systems. All EDIPPP sites yielded appropriate referrals of youths at risk of psychosis.

View details for DOI 10.1176/

View details for Web of Science ID 000377779100012

View details for PubMedID 26766751

Clinical and functional outcomes after 2 years in the early detection and intervention for the prevention of psychosis multisite effectiveness trial. Schizophrenia bulletin McFarlane, W. R., Levin, B., Travis, L., Lucas, F. L., Lynch, S., Verdi, M., Williams, D., Adelsheim, S., Calkins, R., Carter, C. S., Cornblatt, B., Taylor, S. F., Auther, A. M., McFarland, B., Melton, R., Migliorati, M., Niendam, T., Ragland, J. D., Sale, T., Salvador, M., Spring, E. 2015; 41 (1): 30-43


To test effectiveness of the Early Detection, Intervention, and Prevention of Psychosis Program in preventing the onset of severe psychosis and improving functioning in a national sample of at-risk youth.In a risk-based allocation study design, 337 youth (age 12-25) at risk of psychosis were assigned to treatment groups based on severity of positive symptoms. Those at clinically higher risk (CHR) or having an early first episode of psychosis (EFEP) were assigned to receive Family-aided Assertive Community Treatment (FACT); those at clinically lower risk (CLR) were assigned to receive community care. Between-groups differences on outcome variables were adjusted statistically according to regression-discontinuity procedures and evaluated using the Global Test Procedure that combined all symptom and functional measures.A total of 337 young people (mean age: 16.6) were assigned to the treatment group (CHR + EFEP, n = 250) or comparison group (CLR, n = 87). On the primary variable, positive symptoms, after 2 years FACT, were superior to community care (2 df, p < .0001) for both CHR (p = .0034) and EFEP (p < .0001) subgroups. Rates of conversion (6.3% CHR vs 2.3% CLR) and first negative event (25% CHR vs 22% CLR) were low but did not differ. FACT was superior in the Global Test (p = .0007; p = .024 for CHR and p = .0002 for EFEP, vs CLR) and in improvement in participation in work and school (p = .025).FACT is effective in improving positive, negative, disorganized and general symptoms, Global Assessment of Functioning, work and school participation and global outcome in youth at risk for, or experiencing very early, psychosis.

View details for DOI 10.1093/schbul/sbu108

View details for PubMedID 25065017

Factor analysis of the Scale of Prodromal Symptoms: data from the Early Detection and Intervention for the Prevention of Psychosis Program. Early intervention in psychiatry Tso, I. F., Taylor, S. F., Grove, T. B., Niendam, T., Adelsheim, S., Auther, A., Cornblatt, B., Carter, C. S., Calkins, R., Ragland, J. D., Sale, T., McFarlane, W. R. 2014


The Scale of Prodromal Symptoms (SOPS) was developed to identify individuals experiencing early signs of psychosis, a critical first step towards early intervention. Preliminary dimension reduction analyses suggested that psychosis-risk symptoms may deviate from the traditional symptom structure of schizophrenia, but findings have been inconsistent. This study investigated the phenomenology of psychosis risk symptoms in a large sample from a multi-site, national study using rigorous factor analysis procedure.Participants were 334 help-seeking youth (age: 17.03.3) from the Early Detection and Intervention for the Prevention of Psychosis Program, consisting of 203 participants at clinically higher risk (sum of P scores7), 87 with clinically lower risk (sum of P scores<7) and 44 in very early first-episode psychosis (<30 days of positive symptoms). Baseline SOPS data were subjected to principal axis factoring (PAF), estimating factors based on shared variance, with Oblimin rotation.PAF yielded four latent factors explaining 36.1% of total variance: positive symptoms; distress; negative symptoms; and deteriorated thought process. They showed reasonable internal consistency and good convergence validity, and were not orthogonal.The empirical factors of the SOPS showed similarities and notable differences compared with the existing SOPS structure. Regrouping the symptoms based on the empirical symptom dimensions may improve the diagnostic validity of the SOPS. Relative prominence of the factors and symptom frequency support early identification strategies focusing on positive symptoms and distress. Future investigation of long-term functional implications of these symptom factors may further inform intervention strategies.

View details for DOI 10.1111/eip.12209

View details for PubMedID 25529847

From School Health to Integrated Health: Expanding Our Children's Public Mental Health System. Academic psychiatry Adelsheim, S. 2014; 38 (4): 405-408


There is a substantial unmet need for mental health and substance abuse services in the USA. In 2009, the Institute of Medicine recommended increased early identification and intervention for young people with mental, emotional, and behavioral disorders. With the expansion of integrated models in primary care settings, we now have the chance to improve outcomes for young people with mental health conditions, just as we have by improving the early identification and treatment of other preventable and/or treatable conditions such as obesity, asthma, or HIV. This is a moment of great opportunity to fundamentally change how young people access mental health care in our country. Through strategic integration of care, we can increase access to care for those who would not seek out mental health services because of the stigma or inconvenience of reaching out to a mental health provider; we can identify those who need care earlier and reduce the impact of mental illness on individuals, family, and community through early identification and treatment; and we can purposefully embed integration into provider training programs for both primary care and mental health providers to ensure sustainability.

View details for DOI 10.1007/s40596-014-0174-z

View details for PubMedID 24912970