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

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 Web of Science ID 000350057900012

View details for PubMedID 25065017

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 Web of Science ID 000339803500004

View details for PubMedID 24912970

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