Project Name:
Precursors of first-episode psychosis in a population-based sample

Principal Investigator:
Gregory Simon, MD MPH

Principal Investigator Contact Information:
simon.g@ghc.org

Principal Investigator institution:
Kaiser Permanente Washington

Funding Period:
07/2013 – 06/2018

Abstract:

Schizophrenia is estimated to be the 8th-ranked cause of life years lost to disability and premature death among people aged 15 to 44. Reducing this disease burden is a public health priority. Among people experiencing first onset of psychotic symptoms, delay in receipt of effective treatment contributes significantly to poor long-term outcomes. Furthermore, warning signs or prodromal symptoms may be identifiable prior to onset of actual psychotic symptoms. Accumulating evidence suggests that preventive interventions (prior to onset of actual psychotic symptoms) or early clinical interventions (to reduce the interval between onset of symptoms and receipt of effective care) can both improve long-term prognosis. Existing models for early detection and early intervention - either for research or care delivery - have limited reach and scalability.

Our preliminary studies suggest that a generalizable algorithm retrospectively applied to electronic medical records data can accurately identify first episodes of psychosis with a positive predictive value of 80 to 90% and a sensitivity of over 80% - when compared to structured chart review. If electronic records in large health systems could be used to efficiently identify large and representative samples of people experiencing first- episode psychosis, this method could dramatically accelerate research and transform care delivery.

We propose a population-based research program to address immediate questions regarding early intervention programs and to develop methods to support the next generation of early intervention research. This research will draw from five large health systems serving a diverse and representative population of over 7.5 million people. Specific aims of this program include:

  1. Use electronic records data from large integrated health care systems to validate and refine a generalizable algorithm for identifying first presentations of psychosis.
  2. Examine patterns of health care contact prior to first diagnosis of psychosis to identify the optimal care settings and target populations for early detection programs and preventive interventions.
  3. Examine patterns of treatment following first diagnosis of psychosis in order to identify the gaps in care leading to prolonged duration of untreated psychosis.
  4. Examine sources of health insurance coverage at first diagnosis of psychotic disorder and subsequent lapses in coverage in order to inform the design of future intervention programs.
  5. Explore the use of text mining methods to identify potential indicators of prodromal symptoms in notes of outpatient visits prior to first diagnosis of psychosis in order to develop innovative strategies for accurate real-time identification of prodromal symptoms.
  6. Understand patient, family, and clinician perspectives regarding population-based research outreach following a new diagnosis of psychosis to inform future research and care delivery.
  7. Examine rate and causes of mortality after first diagnosis of psychotic disorder

Grant Number:
5R01MH099666

Funder:
NIMH

Participating Sites:
Group Health Cooperative
Kaiser Permanente Colorado
Kaiser Permanente Northern California
Kaiser Permanente Northwest
Kaiser Permanente Southern California 

Investigators:
Gregory Simon, MD MPH
David Carrell, PhD
Frances Lynch, PhD
Bobbi Jo Yarborough, PhD
Carla Green, PhD
Arne Beck, PhD
Enid Hunkeler, MA
Stacy Sterling, PhD
Karen Coleman, PhD

Major Goals:
Goals include:

  • Aim 1: Describe initial presentation with psychotic symptoms in a population-base sample
  • Aim 2: Examine patterns of care prior to diagnosis
  • Aim 3: Examine treatment adherence/continuity after diagnosis
  • Aim 4: Examine impact of health insurance coverage
  • Aim 5: Mine clinical text to identify possible prodromal “signals”
  • Aim 6: Explore acceptability of outreach interventions
  • Aim 7: Examine mortality after first diagnosis of psychotic disorder

Description of study sample:
Cases:

  • First diagnosis of schizophrenia spectrum psychosis, mood disorder with psychosis or other psychotic disorder between 1/1/2007 and 12/31/2012.
  • Continuously enrolled in the health plan for >=12 months prior to the initial diagnosis
  • Age 15 and above

Controls:

  • No prior record of psychosis or mood disorder
  • Continuously enrolled in the health plan for >=24 months
  • Age 15 and above
  • Meet one of these criteria for one of three control groups
    • First diagnosis of depression (matched to cases by age, sex, and year)
    • First diagnosis of inflammatory bowel disease (matched to cases by age, sex, and year)
    • Any outpatient visit (matched to cases by age, sex, and year)

Current Status:
Analyses for all aims are complete

Study Registration:
N/A

Publications:
Simon GE, Coleman KJ, Yarborough BJ, Operskalski B, Stewart C, Hunkeler EM, Lynch F, Carrell D, Beck A.  First presentation with psychotic symptoms in a population-based sample.  Psychiatr Serv. 2017; 68: 457-461.

Simon GE, Stewart C, Yarborough BJ, Lynch F, Coleman KJ, Beck A, Operskalski BH, Penfold RS, Hunkeler EM.  Mortality after first diagnosis of psychotic disorder in adolescents and young adults.  JAMA Psychiatry 2018; 75: 254-260.

Simon GE, Stewart C, Hunkeler EM, Yarborough BJ, Lynch F, Coleman KJ, Beck A, Operskalski BH, Penfold RS, Carrell DS.  Care pathways prior to first diagnosis of psychotic disorder in adolescents and young adults.  Am J Psychiatry 2018 (Jan 24 epub ahead of print).

Resources:
None available yet

Lessons Learned:
Detection

  • Incidence rate suggests reasonable capture of all new cases
  • Half have some prior mental health contact
  • Patterns of utilization prior to first diagnosis differ by race/ethnicity

Initiation

  • >90% without patient specialty MH follow-up within 1 month
  • >60% with filled prescription for antipsychotic medication within 1 month

Engagement/Continuation

  • Only 50% still engaged in outpatient specialty MH care by 1 year
  • Of those who disengage:  outcome is poor in 1/3 and unknown in 1/3

Mortality

  • Mortality is markedly increased soon after first diagnosis of psychotic disorder
  • Excess mortality is largely due to injuries and poisonings, especially self-inflicted injuries and poisonings

What’s next?

  • Submit manuscripts for Aims 3 to 7