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Müller M, Brackmann N, Homan P, Vetter S, Seifritz E, Ajdacic-Gross V, Hotzy F. Predictors for early and long-term readmission in involuntarily admitted patients. Compr Psychiatry 2024; 128:152439. [PMID: 38039919 DOI: 10.1016/j.comppsych.2023.152439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 11/01/2023] [Accepted: 11/16/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper. METHODS A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (> 30 days) readmissions were examined using logistic regression modelling. RESULTS Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission. CONCLUSIONS To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support.
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Affiliation(s)
- Mario Müller
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, 8032 Zürich, Switzerland.
| | - Nathalie Brackmann
- Department of Forensic Psychiatry, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, 8032 Zürich, Switzerland.
| | - Philipp Homan
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, 8032 Zürich, Switzerland.
| | - Stefan Vetter
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, 8032 Zürich, Switzerland.
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, 8032 Zürich, Switzerland.
| | - Vladeta Ajdacic-Gross
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, 8032 Zürich, Switzerland.
| | - Florian Hotzy
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, 8032 Zürich, Switzerland.
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Monk-Cunliffe J, Kadra-Scalzo G, Finamore C, Dale O, Khondoker M, Barrett B, Shetty H, Hayes RD, Moran P. Defining severity of personality disorder using electronic health records: short report. BJPsych Open 2023; 9:e137. [PMID: 37524373 PMCID: PMC10486230 DOI: 10.1192/bjo.2023.509] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 05/24/2023] [Accepted: 05/25/2023] [Indexed: 08/02/2023] Open
Abstract
Severity of personality disorder is an important determinant of future health. However, this key prognostic variable is not captured in routine clinical practice. Using a large clinical data-set, we explored the predictive validity of items from the Health of Nation Outcome Scales (HoNOS) as potential indicators of personality disorder severity. For 6912 patients with a personality disorder diagnosis, we examined associations between HoNOS items relating to core personality disorder symptoms (self-harm, difficulty in interpersonal relationships, performance of occupational and social roles, and agitation and aggression) and future health service use. Compared with those with no self-harm problem, the total healthcare cost was 2.74 times higher (95% CI 1.66-4.52; P < 0.001) for individuals with severe to very severe self-harm problems. Other HoNOS items did not demonstrate clear patterns of association with service costs. Self-harm may be a robust indicator of the severity of personality disorder, but further replication work is required.
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Affiliation(s)
- Jonathan Monk-Cunliffe
- Centre for Academic Mental Health, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Giouliana Kadra-Scalzo
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Chloe Finamore
- Research Unit, The Cassel Hospital, West London NHS Trust, Richmond, UK
| | - Oliver Dale
- Research Unit, The Cassel Hospital, West London NHS Trust, Richmond, UK
| | | | - Barbara Barrett
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hitesh Shetty
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Richard D. Hayes
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Paul Moran
- Centre for Academic Mental Health, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Gohar SM, Hegelstad WTV, Auestad B, Haahr UH, Joa I, Johannessen JO, Larsen TK, Opjordsmoen S, Rund BR, Røssberg JI, Simonsen E, Friis S, Melle I. Association between early suicidal trajectories in first-episode psychosis and 10-year follow-up: TIPS registry-linked study. Lancet Psychiatry 2023; 10:528-536. [PMID: 37353264 DOI: 10.1016/s2215-0366(23)00156-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 04/24/2023] [Accepted: 04/27/2023] [Indexed: 06/25/2023]
Abstract
BACKGROUND Although the risk of suicidality is high in first-episode psychosis, patterns and individual variability in suicidal thoughts and behaviours over time are under-researched. We aimed to identify early trajectories of suicidality over a 2-year follow-up, assess their baseline predictors, and explore associations between those trajectories and later suicidality. METHODS This longitudinal follow-up study was a part of the Early Treatment and Intervention in Psychosis (TIPS)study. Participants, linked to Norwegian and Danish death registries, were recruited from four catchment areas (665 000 inhabitants) in Norway and Denmark (both inpatient and outpatient). We included participants aged 15-65 years, with an intelligence quotient of more than 70, willing to give informed consent, and with a first episode of active psychotic symptoms. Individuals with comorbid neurological or endocrinal disorders, or those with contraindications to antipsychotics, were excluded. Growth mixture modelling was used to identify trajectories of suicidal thoughts and behaviours over the first 2 years. Multinomial logistic regression was applied to examine the baseline predictors of those trajectories and their associations with suicidality at 10-year follow-up. FINDINGS A total of 301 participants were recruited from Jan 1, 1997, to Dec 31, 2000. Of the 299 with completed suicidality data at baseline, 271 participated in 1-year follow-up, 250 in 2-year follow-up, 201 in 5-year follow-up, and 186 at 10-year follow-up. At baseline, 176 (58%) were male, 125 (42%) were female. The mean age was 27·80 years (SD 9·64; range 15-63). 280 (93%) participants were of Scandinavian origin. Four trajectories over 2 years were identified: stable non-suicidal (217 [72%]), stable suicidal ideation (45 [15%]), decreasing suicidal thoughts and behaviours (21 [7%]), and worsening suicidal thoughts and behaviours (18 [6%]). A longer duration of untreated psychosis (odds ratio [OR] 1·24, 95% CI 1·02-1·50, p=0·033), poorer premorbid childhood social adjustment (1·33, 1·01-1·73, p=0·039), more severe depression (1·10, 1·02-1·20, p=0·016), and substance use (2·33, 1·21-4·46, p=0·011) at baseline predicted a stable suicidal ideation trajectory. Individuals in the stable suicidal ideation trajectory tended to have suicidal thoughts and behaviours at 10-year follow-up (3·12, 1·33-7·25, p=0·008). Individuals with a worsening suicidal trajectory were at a higher risk of death by suicide between 2 and 10 years (7·58, 1·53-37·62, p=0·013). INTERPRETATION Distinct suicidal trajectories in first-episode psychosis were associated with specific predictors at baseline and distinct patterns of suicidality over time. Our findings call for early and targeted interventions for at-risk individuals with persistent suicidal ideation or deteriorating patterns of suicidal thoughts and behaviours, or both. FUNDING Health West, Norway; the Norwegian National Research Council; the Norwegian Department of Health and Social Affairs; the National Council for Mental Health and Health and Rehabilitation; the Theodore and Vada Stanley Foundation; the Regional Health Research Foundation for Eastern Region, Denmark; Roskilde County, Helsefonden, Lundbeck Pharma; Eli Lilly; Janssen-Cilag Pharmaceuticals, Denmark; a National Alliance for Research on Schizophrenia and Depression Distinguished Investigator Award and The National Institute of Mental Health grant; a National Alliance for Research on Schizophrenia & Depression Young Investigator Award from The Brain & Behavior Research Foundation; Health South East; Health West; and the Regional Centre for Clinical Research in Psychosis.
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Affiliation(s)
- Sherif M Gohar
- The Early Treatment and Intervention in Psychosis Study (TIPS) Centre for Clinical Research in Psychosis, Stavanger University Hospital, Stavanger, Norway; Department of Public Health, Faculty of Health Sciences, Network for Medical Sciences, University of Stavanger, Stavanger, Norway; Department of Psychiatry, Faculty of Medicine, Cairo University, Cairo, Egypt.
| | - Wenche Ten Velden Hegelstad
- The Early Treatment and Intervention in Psychosis Study (TIPS) Centre for Clinical Research in Psychosis, Stavanger University Hospital, Stavanger, Norway; Department of Social Studies, Faculty of Social Sciences, University of Stavanger, Stavanger, Norway
| | - Bjørn Auestad
- Research Department, Stavanger University Hospital, Stavanger, Norway; Department of Mathematics and Physics, University of Stavanger, Stavanger, Norway
| | - Ulrik Helt Haahr
- Psychiatric Research Unit, Psychiatry Region Zealand, Slagelse, Denmark
| | - Inge Joa
- The Early Treatment and Intervention in Psychosis Study (TIPS) Centre for Clinical Research in Psychosis, Stavanger University Hospital, Stavanger, Norway; Department of Public Health, Faculty of Health Sciences, Network for Medical Sciences, University of Stavanger, Stavanger, Norway
| | - Jan Olav Johannessen
- The Early Treatment and Intervention in Psychosis Study (TIPS) Centre for Clinical Research in Psychosis, Stavanger University Hospital, Stavanger, Norway; Department of Public Health, Faculty of Health Sciences, Network for Medical Sciences, University of Stavanger, Stavanger, Norway
| | - Tor Ketil Larsen
- The Early Treatment and Intervention in Psychosis Study (TIPS) Centre for Clinical Research in Psychosis, Stavanger University Hospital, Stavanger, Norway; Institute of Psychiatry, University of Bergen, Bergen, Norway
| | - Stein Opjordsmoen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Bjørn Rishovd Rund
- Department of Psychology, University of Oslo, Oslo, Norway; Vestre Viken Hospital Trust, Drammen, Norway
| | - Jan Ivar Røssberg
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Erik Simonsen
- Psychiatric Research Unit, Psychiatry Region Zealand, Slagelse, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Svein Friis
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ingrid Melle
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; NORMENT Centre, Oslo University Hospital, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
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Amerio A, Natale A, Gnecco GB, Lechiara A, Verrina E, Bianchi D, Fusar-Poli L, Costanza A, Serafini G, Amore M, Aguglia A. The Role of Gender in Patients with Borderline Personality Disorder: Differences Related to Hopelessness, Alexithymia, Coping Strategies, and Sensory Profile. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59050950. [PMID: 37241182 DOI: 10.3390/medicina59050950] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/08/2023] [Accepted: 05/12/2023] [Indexed: 05/28/2023]
Abstract
Background and Objectives: Gender differences are poorly investigated in patients with borderline personality disorder (BPD), although they could be useful in determining the most appropriate pharmacological and non-pharmacological treatment. The aim of the present study was to compare sociodemographic and clinical characteristics and the emotional and behavioral dimensions (such as coping, alexithymia, and sensory profile) between males and females with BPD. Material and Methods: Two hundred seven participants were recruited. Sociodemographic and clinical variables were collected through a self-administered questionnaire. The Adolescent/Adult Sensory Profile (AASP), Beck Hopelessness Scale (BHS), Coping Orientation to Problems Experienced (COPE), and Toronto Alexithymia Scale (TAS-20) were administered. Results: Male patients with BPD showed more involuntary hospitalizations and greater use of alcohol and illicit substances compared to females. Conversely, females with BPD reported more frequent medication abuse than males. Furthermore, females had high levels of alexithymia and hopelessness. Regarding coping strategies, females with BPD reported higher levels of "restraint coping" and "use of instrumental social support" at COPE. Finally, females with BPD had higher scores in the Sensory Sensitivity and Sensation Avoiding categories at the AASP. Conclusions: Our study highlights gender differences in substance use, emotion expression, future vision, sensory perception, and coping strategies in patients with BPD. Further gender studies may clarify these differences and guide the development of specific and differential treatments in males and females with BPD.
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Affiliation(s)
- Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, 16132 Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Antimo Natale
- Department of Psychiatry, Adult Psychiatry Service (APS), University Hospitals of Geneva (HUG), 1205 Geneva, Switzerland
| | - Giovanni Battista Gnecco
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, 16132 Genoa, Italy
| | - Alessio Lechiara
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, 16132 Genoa, Italy
| | - Edoardo Verrina
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, 16132 Genoa, Italy
| | - Davide Bianchi
- Department of Mental Health and Pathological Addictions, Lavagna Local Health Authority, 16033 Lavagna, Italy
| | - Laura Fusar-Poli
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
| | - Alessandra Costanza
- Department of Psychiatry, Adult Psychiatry Service (APS), University Hospitals of Geneva (HUG), 1205 Geneva, Switzerland
- Department of Psychiatry, Faculty of Medicine, Geneva University (UNIGE), 1211 Geneva, Switzerland
- Department of Psychiatry, Faculty of Biomedical Sciences, University of Italian Switzerland (USI), 6900 Lugano, Switzerland
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, 16132 Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, 16132 Genoa, Italy
| | - Andrea Aguglia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, 16132 Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
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5
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Cruess DG, Sullivan MC, Strainge L, Blackmon JE, Laumann L, Wheeler D, Cruess SE. Personality predictors of 6-month readmission in adult psychiatric inpatients. INTERNATIONAL JOURNAL OF PSYCHOLOGY 2022; 57:613-620. [PMID: 35258094 DOI: 10.1002/ijop.12839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 02/01/2022] [Indexed: 11/08/2022]
Abstract
Readmission of psychiatric inpatients is highly prevalent and places a significant financial burden on the healthcare system. Rehospitalisation is often used as a metric of quality of care in psychiatric settings, but little is known about how specific personality traits impact readmission in adult psychiatric inpatients. A convenience sample of 94 adults (mean age = 36.8 years; female = 54.3%; European American = 76.6%) at an inpatient psychiatric hospital completed the Personality Inventory for DSM-5-Brief Form (PID-5-BF; American Psychiatric Association, 2013); demographic and medical information and readmission data were extracted via chart review. Poisson regression was used to predict number of readmissions at 6 months after discharge from PID-5-BF domain scores of Negative Affectivity, Detachment, Antagonism, Disinhibition and Psychoticism. Twenty-three patients (24.5%) were readmitted at least once by 6-month follow-up. Higher PID-5-BF Negative Affectivity domain scores predicted greater number of readmissions at 6 months (incidence rate ratio (IRR) = 1.14, robust standard error (RSE) = 0.05, p < .01, 95% confidence interval [1.04, 1.25]). The other PID-5-BF domain scores were not significantly related to number of readmissions. Thus, greater negative affect, indicative of higher trait neuroticism, heightened experience of negative emotions and poor self-concept, was a significant personality predictor of readmission in the study. These results suggest that assessing this trait domain might help to identify psychiatric inpatients at greater risk for readmission and determine those most in need of enhanced services to reduce rehospitalisation.
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Affiliation(s)
- Dean G Cruess
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
| | - Matthew C Sullivan
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
| | - Lauren Strainge
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
| | - Jaime E Blackmon
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
| | - Laura Laumann
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
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Cavelti M, Thompson K, Chanen AM, Kaess M. Psychotic symptoms in borderline personality disorder: developmental aspects. Curr Opin Psychol 2021; 37:26-31. [DOI: 10.1016/j.copsyc.2020.07.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 07/02/2020] [Indexed: 12/14/2022]
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Factors associated with 30-days and 180-days psychiatric readmissions: A snapshot of a metropolitan area. Psychiatry Res 2020; 292:113309. [PMID: 32702551 DOI: 10.1016/j.psychres.2020.113309] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 07/13/2020] [Accepted: 07/14/2020] [Indexed: 01/08/2023]
Abstract
Psychiatric re-hospitalization rate is a widely used quality indicator within mental health care. This study aims to investigate which variables are implied in determining readmissions over two intervals after the index event, 30 days and 6 months. The study sample included 798 inpatients, it was divided into two groups: not readmitted patients (NRP) and readmitted patients (RP), which has been further split into: Readmitted within 30 days (RP30dd) and Readmitted during the 150-day period (between 31 and 180 days) after the index discharge (RP150). A multivariate logistic regression with backward selection method was performed in order to find variables independently associated with readmission. The overall incidence of readmissions was 16.04%. Discharge to a Psychiatric Nursing Home was found to be a protective factor for all the groups. In adds, for the overall readmission, compulsory index admission and higher education (this lasts as in RP30dd group) were protective factors; whereas higher length of stay (as for readmission within 31-180 days) and a diagnosis of Personality Disorder were risk factors. The patient-specific factors significantly associated with likelihood of rehospitalization in the final model do identify some high-risk groups toward to whom possibly address prevention strategies.
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Niederkrotenthaler T, Mittendorfer-Rutz E, Mehlum L, Qin P, Björkenstam E. Previous suicide attempt and subsequent risk of re-attempt and suicide: Are there differences in immigrant subgroups compared to Swedish-born individuals? J Affect Disord 2020; 265:263-271. [PMID: 32090750 DOI: 10.1016/j.jad.2020.01.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 12/18/2019] [Accepted: 01/03/2020] [Indexed: 10/25/2022]
Abstract
BACKGROUND Studies investigating how suicide attempting refugees and non-refugee migrants differ from Swedish-born individuals in terms of re-attempts and suicide are missing. It remains unknown how mental disorders and labour market marginalization (LMM) impact on these associations. METHODS This longitudinal cohort study included Swedish residents aged 20-64 with suicide attempt in 2004-2012. In total, 42,684 individuals including 2017 refugees, and 2544 non-refugee migrants were included and followed until December 31, 2016. Risks of re-attempt and suicide were calculated as hazard ratios (HR) with 95% confidence intervals (CI), and adjusted for important confounders. Stratified analyses were to assess if mental disorders or LMM modified these associations. RESULTS In the adjusted models, refugees had an adjusted HR (aHR) of suicide re-attempt of 0.74 (CI: 0.67-0.81), and an aHR of 0.67 (CI: 0.53-0.86) for suicide death. These estimates were very similar to those of non-refugee migrants. Refugees and non-refugee migrants with suicide attempt had a lower prevalence of specialised health care due to mental disorders compared to Swedish-born attempters (48%, 44% and 61%, respectively). Mental disorders and LMM in terms of long-term sickness absence and disability pension increased the risk of re-attempt and suicide in all three groups. LIMITATIONS Only suicide attempts and mental disorders resulting in specialized in-and outpatient care were registered. CONCLUSION Migrants show considerably lower risks of re-attempt and suicide than Swedish-born individuals, with no differences between migrant groups. Despite vast differences in the prevalence of specific mental disorders, the role of mental disorders in the pathways to re-attempt and suicide does not appear to differ considerably between these groups.
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Affiliation(s)
- Thomas Niederkrotenthaler
- Unit Suicide Research & Mental Health Promotion, Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, Kinderspitalgasse 15, A-1090 Vienna, Austria.
| | - Ellenor Mittendorfer-Rutz
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden
| | - Lars Mehlum
- National Centre for Suicide Research and Prevention, University of Oslo, Sognsvannsveien 21, NO-0374 Oslo, Norway
| | - Ping Qin
- National Centre for Suicide Research and Prevention, University of Oslo, Sognsvannsveien 21, NO-0374 Oslo, Norway
| | - Emma Björkenstam
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden; Department of Neuroscience, Psychiatry, Uppsala University, Uppsala, Sweden; Department of Community Health Sciences, Fielding School of Public Health and California Center for Population Research, University of California Los Angeles, Los Angeles, California, United States
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