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Ho JJ, Matinrad H, Arora A, Rau ME, Sevick A, Brown C. Trauma-Informed Care Part 1: Definitions and Screening #487. J Palliat Med 2024; 27:1270-1271. [PMID: 39075041 DOI: 10.1089/jpm.2024.0245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/31/2024] Open
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Kaier K, Heidenreich A, Jäckel M, Oettinger V, Maier A, Hilgendorf I, Breitbart P, Hartikainen T, Keller T, Westermann D, von Zur Mühlen C. Reweighting and validation of the hospital frailty risk score using electronic health records in Germany: a retrospective observational study. BMC Geriatr 2024; 24:517. [PMID: 38872086 PMCID: PMC11177354 DOI: 10.1186/s12877-024-05107-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 05/24/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND In the hospital setting, frailty is a significant risk factor, but difficult to measure in clinical practice. We propose a reweighting of an existing diagnoses-based frailty score using routine data from a tertiary care teaching hospital in southern Germany. METHODS The dataset includes patient characteristics such as sex, age, primary and secondary diagnoses and in-hospital mortality. Based on this information, we recalculate the existing Hospital Frailty Risk Score. The cohort includes patients aged ≥ 75 and was divided into a development cohort (admission year 2011 to 2013, N = 30,525) and a validation cohort (2014, N = 11,202). A limited external validation is also conducted in a second validation cohort containing inpatient cases aged ≥ 75 in 2022 throughout Germany (N = 491,251). In the development cohort, LASSO regression analysis was used to select the most relevant variables and to generate a reweighted Frailty Score for the German setting. Discrimination is assessed using the area under the receiver operating characteristic curve (AUC). Visualization of calibration curves and decision curve analysis were carried out. Applicability of the reweighted Frailty Score in a non-elderly population was assessed using logistic regression models. RESULTS Reweighting of the Frailty Score included only 53 out of the 109 frailty-related diagnoses and resulted in substantially better discrimination than the initial weighting of the score (AUC = 0.89 vs. AUC = 0.80, p < 0.001 in the validation cohort). Calibration curves show a good agreement between score-based predictions and actual observed mortality. Additional external validation using inpatient cases aged ≥ 75 in 2022 throughout Germany (N = 491,251) confirms the results regarding discrimination and calibration and underlines the geographic and temporal validity of the reweighted Frailty Score. Decision curve analysis indicates that the clinical usefulness of the reweighted score as a general decision support tool is superior to the initial version of the score. Assessment of the applicability of the reweighted Frailty Score in a non-elderly population (N = 198,819) shows that discrimination is superior to the initial version of the score (AUC = 0.92 vs. AUC = 0.87, p < 0.001). In addition, we observe a fairly age-stable influence of the reweighted Frailty Score on in-hospital mortality, which does not differ substantially for women and men. CONCLUSIONS Our data indicate that the reweighted Frailty Score is superior to the original Frailty Score for identification of older, frail patients at risk for in-hospital mortality. Hence, we recommend using the reweighted Frailty Score in the German in-hospital setting.
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Affiliation(s)
- Klaus Kaier
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Hugstetter Str. 49, Freiburg, 79106, Germany.
- Centre for Big Data Analysis in Cardiology (CeBAC), Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| | - Adrian Heidenreich
- Centre for Big Data Analysis in Cardiology (CeBAC), Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Medical Centre, Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, University Heart Centre Freiburg - Bad Krozingen, University of Freiburg, Freiburg, Germany
| | - Markus Jäckel
- Centre for Big Data Analysis in Cardiology (CeBAC), Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Medical Centre, Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, University Heart Centre Freiburg - Bad Krozingen, University of Freiburg, Freiburg, Germany
| | - Vera Oettinger
- Centre for Big Data Analysis in Cardiology (CeBAC), Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Medical Centre, Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, University Heart Centre Freiburg - Bad Krozingen, University of Freiburg, Freiburg, Germany
| | - Alexander Maier
- Centre for Big Data Analysis in Cardiology (CeBAC), Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Medical Centre, Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, University Heart Centre Freiburg - Bad Krozingen, University of Freiburg, Freiburg, Germany
| | - Ingo Hilgendorf
- Medical Centre, Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, University Heart Centre Freiburg - Bad Krozingen, University of Freiburg, Freiburg, Germany
| | - Philipp Breitbart
- Medical Centre, Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, University Heart Centre Freiburg - Bad Krozingen, University of Freiburg, Freiburg, Germany
| | - Tau Hartikainen
- Medical Centre, Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, University Heart Centre Freiburg - Bad Krozingen, University of Freiburg, Freiburg, Germany
| | - Till Keller
- Medical Centre, Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, University Heart Centre Freiburg - Bad Krozingen, University of Freiburg, Freiburg, Germany
| | - Dirk Westermann
- Medical Centre, Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, University Heart Centre Freiburg - Bad Krozingen, University of Freiburg, Freiburg, Germany
| | - Constantin von Zur Mühlen
- Centre for Big Data Analysis in Cardiology (CeBAC), Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Medical Centre, Department of Cardiology and Angiology, Faculty of Medicine, University of Freiburg, University Heart Centre Freiburg - Bad Krozingen, University of Freiburg, Freiburg, Germany
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Meinlschmidt G, Frick A, Baenteli I, Karpf C, Studer A, Bachmann M, Dörner A, Tschudin S, Trost S, Wyss K, Fink G, Schwenkglenks M, Caviezel S, Rocco T, Schaefert R. Prevention of psychosocial distress consequences in somatic hospital inpatients via a stepped and collaborative care model: protocol of SomPsyNet, a stepped wedge cluster randomised trial. BMJ Open 2023; 13:e076814. [PMID: 37996236 PMCID: PMC10668178 DOI: 10.1136/bmjopen-2023-076814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 10/16/2023] [Indexed: 11/25/2023] Open
Abstract
INTRODUCTION Approximately 30% of somatic hospital inpatients experience psychosocial distress, contributing to increased (re-)hospitalisation rates, treatment resistance, morbidity, and direct and indirect costs. However, such distress often remains unrecognised and unaddressed. We established 'SomPsyNet', a 'stepped and collaborative care model' (SCCM) for somatic hospital inpatients, aiming at alleviating this issue through early identification of distress and provision of appropriate care, providing problem-focused pathways and strengthening collaborative care. We report the protocol of the 'SomPsyNet' study, aiming to evaluate implementation and impact of the SCCM on distressed patients' health-related quality of life. Secondary objectives include assessing efficacy of the screening procedures, influence of SCCM on other health outcomes and associated costs. METHODS AND ANALYSIS Our stepped wedge cluster randomised trial conducted at three tertiary hospitals comprises three conditions: treatment as usual (TAU) without screening for distress (phase 0), TAU with screening but without consequences (phase I, main comparator) and TAU with screening and psychosomatic-psychiatric consultations for those distressed (phase II). The time-of-transition between phases I and II was randomised. Sample size target is N=2200-2500 participants, with 6 month follow-up for distressed (anticipated n=640-700) and a subsample of non-distressed (anticipated n=200) patients. Primary outcome is mental health-related quality of life (SF-36 'Mental Health Component Summary score'); secondary outcomes include psychosocial distress, anxiety, depressive and somatic symptoms, symptom burden and distress, resilience, social support and qualitative of life, assessed by internationally accepted instruments, with good psychometric properties. Further, health claims data will be used to assess SCCM's impact on direct and indirect costs. ETHICS AND DISSEMINATION SomPsyNet adheres to the Helsinki Declaration and is approved by the 'Ethikkommission Nordwest- und Zentralschweiz' (2019-01724). Findings will be published in peer-reviewed journals and communicated to participants, healthcare professionals and the public. TRIAL REGISTRATION NUMBER Swiss National Clinical Trials Portal; ClinicalTrials.gov (NCT04269005, updated 19.09.2023).
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Affiliation(s)
- Gunther Meinlschmidt
- Department of Digital and Blended Psychosomatics and Psychotherapy, Psychosomatic Medicine, University of Basel, Basel, Switzerland
- Clinical Psychology and Psychotherapy (focus CBT), International Psychoanalytic University Berlin gGmbH, Berlin, Germany
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
- Department of Psychosomatic Medicine, University of Basel, Basel, Switzerland
| | - Alexander Frick
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
| | - Iris Baenteli
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
- Department of Psychosomatic Medicine, University of Basel, Basel, Switzerland
| | - Christina Karpf
- Division of Prevention, Department of Health Canton Basel-Stadt, Basel, Switzerland
| | - Anja Studer
- Division of Prevention, Department of Health Canton Basel-Stadt, Basel, Switzerland
| | - Marco Bachmann
- Department of Psychosomatic Medicine and Psychotherapy, Klinik Barmelweid AG, Barmelweid, Switzerland
| | | | - Sibil Tschudin
- Department of Obstetrics and Gynecology, University Hospital Basel, Basel, Switzerland
- Department of Obstetrics and Gynecology, University of Basel, Basel, Switzerland
| | - Sarah Trost
- Department of Geriatric Medicine, Universitäre Altersmedizin FELIX PLATTER, Basel, Switzerland
| | - Kaspar Wyss
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Günther Fink
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Matthias Schwenkglenks
- Health Economics Facility, Department of Public Health, University of Basel, Basel, Switzerland
| | - Seraina Caviezel
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
- Department of Psychosomatic Medicine, University of Basel, Basel, Switzerland
| | - Tabea Rocco
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
- Department of Psychosomatic Medicine, University of Basel, Basel, Switzerland
| | - Rainer Schaefert
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
- Department of Psychosomatic Medicine, University of Basel, Basel, Switzerland
- Department of Psychosomatics and Psychiatry, Bethesda Hospital Basel, Basel, Switzerland
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Brown CK, DiBiase J, Nathanson A, Cadet TJ. Trauma-Informed Care for Inpatient Palliative Care Social Work: Applying Existing Models at the Bedside. JOURNAL OF SOCIAL WORK IN END-OF-LIFE & PALLIATIVE CARE 2023; 19:309-325. [PMID: 37698906 PMCID: PMC10840610 DOI: 10.1080/15524256.2023.2256479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
Coexisting serious illness and posttraumatic stress place hospitalized individuals at risk for complex pain, anxiety, and retraumatization. Hospital palliative care social workers increasingly recognize the value of trauma-informed care (TIC) for reducing harm in the inpatient setting. Despite this recognition, there is limited operationalization of TIC principles for inpatient interventions. This paper integrates each TIC principle with inpatient psychosocial interventions to advance trauma-informed competencies among inpatient palliative care social workers and to provide a foundation for future TIC implementation research.
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Affiliation(s)
| | - Jennifer DiBiase
- Department of Geriatrics and Palliative Medicine, Mount Sinai Beth Israel
| | | | - Tamara J. Cadet
- School of Social Policy & Practice, University of Pennsylvania
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Russo JE, Dhruve DM, Oliveros AD. Childhood Trauma and PTSD Symptoms: Disentangling the Roles of Emotion Regulation and Distress Tolerance. Res Child Adolesc Psychopathol 2023; 51:1273-1287. [PMID: 37039922 DOI: 10.1007/s10802-023-01048-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2023] [Indexed: 04/12/2023]
Abstract
Research documents that a history of childhood trauma increases risk for post-traumatic stress disorder (PTSD), greater emotion regulation difficulties (ERD), and reduced distress tolerance (DT). Independent lines of research implicate ERD and DT as transdiagnostic risk factors and link them to PTSD. To elucidate how such mechanisms may influence the etiology, maintenance, and treatment of PTSD, the current study investigates the distinct mediating roles of emotion regulation and DT, exploring which explains a larger indirect effect from childhood trauma to PTSD symptom severity. Participants (N = 385, aged 18-48) who endorsed a history of childhood trauma provided retrospective report of cumulative childhood trauma exposure, and of current ERD, DT, and PTSD symptom severity. Single and dual mediation analyses were used to assess indirect effects through ERD and DT in the relation between cumulative childhood trauma exposure and current PTSD symptom severity. ERD and DT were significantly and inversely related. Higher current self-ratings of PTSD symptom severity were explained by cumulative childhood trauma through ERD (B = 0.93, p < 0.001) and DT (B = 0.50, p < 0.05). The full model explained 36% of the variance in PTSD symptom severity. Current findings provide preliminary evidence of DT and emotion regulation (with specific facets identified) as distinct mechanisms in the development of PTSD. Of clinical relevance, current findings support post-trauma processing theories that contend individuals' recovery requires accepting and learning to modulate trauma-related emotional states. Implications for methods of treatment and prevention are discussed.
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Affiliation(s)
- Jenna E Russo
- Department of Psychology, Mississippi State University, 110 Magruder Hall, P.O. Box 6161, Mississippi State, MS, 39762, USA.
| | - Deepali M Dhruve
- Department of Psychology, Mississippi State University, 110 Magruder Hall, P.O. Box 6161, Mississippi State, MS, 39762, USA
| | - Arazais D Oliveros
- Department of Psychology, Mississippi State University, 110 Magruder Hall, P.O. Box 6161, Mississippi State, MS, 39762, USA
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Han X, Jiang F, Needleman J, Guo M, Chen Y, Zhou H, Liu Y, Yao C, Tang Y. A sequence analysis of hospitalization patterns and service utilization in patients with major psychiatric disorders in China. BMC Psychiatry 2021; 21:245. [PMID: 33975564 PMCID: PMC8111895 DOI: 10.1186/s12888-021-03251-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 04/29/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Understanding the long-term inpatient service cost and utilization of psychiatric patients may provide insight into service demand for these patients and guide the design of targeted mental health programs. This study assesses 3-year hospitalization patterns and quantifies service utilization intensity of psychiatric patients in Beijing, China. METHODS We identified patients admitted for one of three major psychiatric disorders (schizophrenia, bipolar and depressive disorders) between January 1 and December 31, 2013 in Beijing, China. Inpatient admissions during the following 3 years were extracted and analyzed using sequence analysis. Clinical characteristics, psychiatric and non-psychiatric service use of included patients were analyzed. RESULTS The study included 3443 patients (7657 hospitalizations). The patient hospitalization sequences were grouped into 4 clusters: short stay (N = 2741 (79.61% of patients), who had 126,911 or 26.82% of the hospital days within the sample), repeated long stay (N = 404 (11.73%), 76,915 (16.26%) days), long-term stay (N = 101 (2.93%), 59,909 (12.66%) days) and permanent stay (N = 197 (5.72%), 209,402 (44.26%) days). Length and frequency of hospitalization, as well as readmission rates were significantly different across the 4 clusters. Over the 3-year period, hospitalization days per year decreased for patients in the short stay and repeated long stay clusters. Patients with schizophrenia (1705 (49.52%)) had 78.4% of cumulative psychiatric stays, with 11.14% of them in the permanent stay cluster. Among patients with depression, 23.11% had non-psychiatric hospitalizations, and on average 46.65% of their total inpatient expenses were for non-psychiatric care, the highest among three diagnostic groups. CONCLUSION Hospitalization patterns varied significantly among psychiatric patients and across diagnostic categories. The high psychiatric care service use of the long-term and permanent stay patients underlines the need for evidence-based interventions to reduce cost and improve care quality.
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Affiliation(s)
- Xueyan Han
- Peking University First Hospital, 8 Xishiku Road, Xicheng District, Beijing, China.
| | - Feng Jiang
- grid.16821.3c0000 0004 0368 8293Institute of Health Yangtze River Delta, Shanghai Jiao Tong University, 1954 Huashan Road, Xuhui District, Shanghai, China
| | - Jack Needleman
- grid.19006.3e0000 0000 9632 6718Department of Health Policy and Management, UCLA Fielding School of Public Health, 650 Charles Young Dr. S., 31-269 CHS Box, Los Angeles, CA 951772 USA
| | - Moning Guo
- Beijing Municipal Health Commission Information Centre, 277 Zhao Deng Yu Road, Xicheng District, Beijing, China
| | - Yin Chen
- grid.449412.ePeking University International Hospital, 29 Sheng Ming Yuan Road, Haidian District, Beijing, China
| | - Huixuan Zhou
- grid.411614.70000 0001 2223 5394School of Sport Science, Beijing Sport University, 48 Xinxi Road, Haidian Street, Beijing, China
| | - Yuanli Liu
- grid.506261.60000 0001 0706 7839School of public health, Chinese Academy of Medical Sciences and Peking Union Medical College, No.3 Dong Dan San Tiao, Dongcheng District, Beijing, China
| | - Chen Yao
- grid.411472.50000 0004 1764 1621Peking University First Hospital, 8 Xishiku Road, Xicheng District, Beijing, China ,grid.11135.370000 0001 2256 9319Peking University Clinical Research Institute, 38 Xueyuan Road, Haidian District, Beijing, China
| | - Yilang Tang
- grid.189967.80000 0001 0941 6502Department of Psychiatry and Behavioral Sciences, Emory University, 12 Executive Park Drive NE, Suite 300, Atlanta, GA, USA; Atlanta VA Medical Center, 1670 Clairmont Road, Decatur, GA USA ,grid.414026.50000 0004 0419 4084Atlanta VA Medical Center, Decatur, GA USA
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