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1.
Brain Inj ; 34(4): 548-555, 2020 03 20.
Article in English | MEDLINE | ID: mdl-32050805

ABSTRACT

Aims: The overarching goal of this project was to establish a group comprised of a variety of TBI stakeholders for the purpose of: (1) determining facilitators and barriers in management of neuropsychiatric symptoms after TBI; (2) identifying strategies for maintaining a TBI PCOR network; (3) enumerating research topics related to TBI neuropsychiatry; and (4) highlighting policy changes related to TBI neuropsychiatry.Methods: Twenty-nine TBI stakeholders participated in focus group discussions. Qualitative analyses were conducted both manually and using Dedoose software.Results: Participant-identified barriers included stigma associated with experiencing neuropsychiatric symptoms and poor insurance coverage. Facilitators included treatment focused on education of neuropsychiatric symptoms after TBI and having a comprehensive caregiver plan. Best strategies for maintaining TBI PCOR network included having a well-defined project, continued regular meetings, and on-going education of network members. Pertinent research topics included TBI and aging, factors influencing outcomes after TBI, substance use disorders related to TBI, and effectiveness of telemental health services. Needed policy changes included making TBI neuropsychiatry education accessible to stakeholders and improving accessibility of TBI neuropsychiatric care.Conclusion: TBI stakeholders identified several facilitators of care for neuropsychiatric symptoms after TBI and suggested research topics and best practices for conducting PCOR in this area.


Subject(s)
Neuropsychiatry , Substance-Related Disorders , Caregivers , Humans , Patient Outcome Assessment , Social Stigma
2.
Suicide Life Threat Behav ; 39(3): 307-20, 2009 Jun.
Article in English | MEDLINE | ID: mdl-19606922

ABSTRACT

We investigated the psychometric validity and reliability of the Suicide Status Form-II (SSF-II) developed by Jobes, Jacoby, Cimbolic, and Hustead (1997). Participants were 149 psychiatric inpatients (108 suicidal; 41 nonsuicidal) at the Mayo Clinic. Each participant completed assessment measures within 24 hours of admission and 48-72 hours later. Factor analyses of the SSF core assessment produced a robust two-factor solution reflecting chronic and acute response styles. The SSF core assessment had good to excellent convergent and criterion validity; pre-post SSF ratings also demonstrated moderate test-retest reliability. The results replicated previous research and show that the SSF-II is psychometrically sound with a high-risk suicidal inpatient sample.


Subject(s)
Mental Disorders/psychology , Patient Admission , Personality Inventory/statistics & numerical data , Suicide, Attempted/psychology , Suicide/psychology , Adolescent , Adult , Aged , Female , Humans , Male , Middle Aged , Psychometrics/statistics & numerical data , Reproducibility of Results , Risk Assessment , Suicide, Attempted/prevention & control , Young Adult , Suicide Prevention
3.
Arch Suicide Res ; 12(4): 309-26, 2008.
Article in English | MEDLINE | ID: mdl-18828034

ABSTRACT

Joiner's (2005) theory attributes suicide to an individual's acquired capability to enact self-harm, perceived burdensomeness, and thwarted belongingness. This study evaluated whether Joiner's theory could differentiate United States (US) Air Force (AF) personnel (n = 60) who died by suicide from a living active duty AF personnel comparison sample (n = 122). Responses from AF personnel on several scales assessing Joiner's constructs were compared to data from a random sample of postmortem investigatory files of AF personnel who died by suicide between 1996-2006. This research also introduced a newly designed measure, the Interpersonal-Psychological Survey (IPS), designed to assess the three components of Joiner's theory in one, easy-to-administer instrument. Analyses of the psychometric properties of the IPS support initial validation efforts to establish this scale as a predictive measure for suicide. Findings support that one's score on the Acquired Capability to Commit Suicide subscale of the IPS and the IPS overall score reliably distinguished between the two groups. The implications of these findings in relation to suicide prevention efforts in the US military are discussed.


Subject(s)
Interpersonal Relations , Military Personnel/psychology , Military Psychiatry/methods , Psychometrics/instrumentation , Psychotic Disorders/psychology , Suicide/psychology , Adaptation, Psychological , Adult , Female , Humans , Male , Middle Aged , Population Surveillance/methods , Retrospective Studies , Risk Assessment/methods , Social Desirability , Social Identification , United States
4.
J Health Care Poor Underserved ; 19(3): 991-1005, 2008 Aug.
Article in English | MEDLINE | ID: mdl-18677085

ABSTRACT

Homeless veterans have numerous medical and behavioral health problems. Grouping homeless people based on comorbidity patterns may assist in determining severity of illness and triaging health care more effectively. We sought to determine if a finite number of profiles could be identified related to demographic characteristics, living situation, length of homelessness, and referral areas using interview data from 2,733 veterans who were presently or recently homeless. We considered 12 disorders: eye problems, hypertension, cardiovascular problems, COPD/emphysema, tuberculosis, gastrointestinal problems, hepatic disease, neurologic disorders, orthopedic problems, skin problems, and trauma. Ratings were evaluated using cluster analysis. Comparison statistics were used to compare intercluster differences in demographics, homeless situation, and referral recommendations. A four-cluster solution is proposed: generalized illness, hepatic disease, lung disease, and neurologic disorder. Medical health problems are common and heterogeneous in homeless individuals. Classifications of these problems may be useful in planning treatment and predicting outcome.


Subject(s)
Chronic Disease/epidemiology , Comorbidity , Health Status Indicators , Ill-Housed Persons/classification , Mental Disorders/epidemiology , Veterans/classification , Adult , Chronic Disease/classification , Cluster Analysis , Female , Ill-Housed Persons/statistics & numerical data , Humans , Interviews as Topic , Male , Mental Disorders/classification , Mid-Atlantic Region/epidemiology , Middle Aged , Prevalence , United States/epidemiology , Veterans/statistics & numerical data
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