Jane E. Hamilton

Dr. Jane E. Hamilton

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 September 2015 in Australian & New Zealand Journal of Psychiatry
Verified
Journal Article
Closed access
JHJane E. Hamilton
Jane E. Hamilton
IPIves C Passos
Ives C Passos
TCTaiane de Azevedo Cardoso
Taiane de Azevedo Cardoso
KJKaren Jansen
Karen Jansen
MAMelissa Allen
Melissa Allen
FKFlavio Kapczinski
Flavio Kapczinski
Objective: Even with treatment, approximately one-third of patients with bipolar disorder relapse into depression or mania within 1 year. Unfavorable clinical outcomes for patients with bipolar disorder include increased rates of psychiatric hospitalization and functional impairment. However, only a few studies have examined predictors of psychiatric hospital readmission in a sample of patients with bipolar disorder. The purpose of this study was to examine predictors of psychiatric readmission within 30 days, 90 days and 1 year of discharge among patients with bipolar disorder using a conceptual model adapted from Andersen’s Behavioral Model of Health Service Use. Methods: In this retrospective study, univariate and multivariate logistic regression analyses were conducted in a sample of 2443 adult patients with bipolar disorder who were consecutively admitted to a public psychiatric hospital in the United States from 1 January to 31 December 2013. Results: In the multivariate models, several enabling and need factors were significantly associated with an increased risk of readmission across all time periods examined, including being uninsured, having ⩾3 psychiatric hospitalizations and having a lower Global Assessment of Functioning score. Additional factors associated with psychiatric readmission within 30 and 90 days of discharge included patient homelessness. Patient race/ethnicity, bipolar disorder type or a current manic episode did not significantly predict readmission across all time periods examined; however, patients who were male were more likely to readmit within 1 year. The 30-day and 1-year multivariate models showed the best model fit. Conclusion: Our study found enabling and need factors to be the strongest predictors of psychiatric readmission, suggesting that the prevention of psychiatric readmission for patients with bipolar disorder at safety-net hospitals may be best achieved by developing and implementing innovative transitional care initiatives that address the issues of multiple psychiatric hospitalizations, housing instability, insurance coverage and functional impairment.

7 July 2016 in Academic Emergency Medicine
Verified
Journal Article
Open access
PDF file
JHJane E. Hamilton
Jane E. Hamilton
PDPratikkumar V. Desai
Pratikkumar V. Desai
NHNathan R. Hoot
Nathan R. Hoot
RGRobin E. Gearing
Robin E. Gearing
SJShin Jeong
Shin Jeong
CBCharles E. Begley
Charles E. Begley
Objectives: Behavioral health–related emergency department (ED) visits have been linked with ED overcrowding, an increased demand on limited resources, and a longer length of stay (LOS) due in part to patients being admitted to the hospital but waiting for an inpatient bed. This study examines factors associated with the likelihood of hospital admission for ED patients with behavioral health conditions at 16 hospital‐based EDs in a large urban area in the southern United States.Methods: Using Andersen's Behavioral Model of Health Service Use for guidance, the study examined the relationship between predisposing (characteristics of the individual, i.e., age, sex, race/ethnicity), enabling (system or structural factors affecting healthcare access), and need (clinical) factors and the likelihood of hospitalization following ED visits for behavioral health conditions (n = 28,716 ED visits). In the adjusted analysis, a logistic fixed‐effects model with blockwise entry was used to estimate the relative importance of predisposing, enabling, and need variables added separately as blocks while controlling for variation in unobserved hospital‐specific practices across hospitals and time in years.Results: Significant predisposing factors associated with an increased likelihood of hospitalization following an ED visit included increasing age, while African American race was associated with a lower likelihood of hospitalization. Among enabling factors, arrival by emergency transport and a longer ED LOS were associated with a greater likelihood of hospitalization while being uninsured and the availability of community‐based behavioral health services within 5 miles of the ED were associated with lower odds. Among need factors, having a discharge diagnosis of schizophrenia/psychotic spectrum disorder, an affective disorder, a personality disorder, dementia, or an impulse control disorder as well as secondary diagnoses of suicidal ideation and/or suicidal behavior increased the likelihood of hospitalization following an ED visit.Conclusion: The block of enabling factors was the strongest predictor of hospitalization following an ED visit compared to predisposing and need factors. Our findings also provide evidence of disparities in hospitalization of the uninsured and racial and ethnic minority patients with ED visits for behavioral health conditions. Thus, improved access to community‐based behavioral health services and an increased capacity for inpatient psychiatric hospitals for treating indigent patients may be needed to improve the efficiency of ED services in our region for patients with behavioral health conditions. Among need factors, a discharge diagnosis of schizophrenia/psychotic spectrum disorder, an affective disorder, a personality disorder, an impulse control disorder, or dementia as well as secondary diagnoses of suicidal ideation and/or suicidal behavior increased the likelihood of hospitalization following an ED visit, also suggesting an opportunity for improving the efficiency of ED care through the provision of psychiatric services to stabilize and treat patients with serious mental illness.

23 May 2024 in Psychiatry Research
Verified
Journal Article
Open access
MSMarco Solm
Marco Solm
TTTrevor Thompson
Trevor Thompson
AEAndrés Estradé
Andrés Estradé
AAAgorastos Agorastos
Agorastos Agorastos
JRJoaquim Radua
Joaquim Radua
CCChristoph Correll
Christoph Correll
International studies measuring wellbeing/multidimensional mental health before/ during the COVID-19 pandemic, including representative samples for >2 years, identifying risk groups and coping strategies are lacking. COH-FIT is an online, international, anonymous survey measuring changes in well-being (WHO-5) and a composite psychopathology P-score, and their associations with COVID-19 deaths/restrictions, 12 a-priori defined risk individual/cumulative factors, and coping strategies during COVID-19 pandemic (26/04/2020-26/06/2022) in 30 languages (representative, weighted non-representative, adults). T-test, χ2, penalized cubic splines, linear regression, correlation analyses were conducted. Analyzing 121,066/142,364 initiated surveys, WHO-5/P-score worsened intra-pandemic by 11.1±21.1/13.2±17.9 points (effect size d=0.50/0.60) (comparable results in representative/weighted non-probability samples). Persons with WHO-5 scores indicative of depression screening (<50, 13% to 32%) and major depression (2 years. The most subjectively effective coping strategies were exercise and walking, internet use, social contacts. Identified risk groups, coping strategies and outcome trajectories can inform global public health strategies.

10 June 2014 in Journal of Affective Disorders
Verified
Journal Article
Closed access
PDF file
JGJuan F. Galvez
Juan F. Galvez
IBIsabelle E. Bauer
Isabelle E. Bauer
MSMarsal Sanches
Marsal Sanches
HWHanjing E. Wu
Hanjing E. Wu
JHJane E. Hamilton
Jane E. Hamilton
JSJair Soares
Jair Soares

10 March 2015 in Journal of Evaluation in Clinical Practice
Verified
Journal Article
Closed access
PDF file
JHJane E. Hamilton
Jane E. Hamilton
HRHoward Rhoades
Howard Rhoades
JGJuan Galvez
Juan Galvez
MAMelissa Allen
Melissa Allen
CGCharles Green
Charles Green
JSJair Soares
Jair Soares