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Tops L, Beerten SG, Vandenbulcke M, Vermandere M, Deschodt M. Integrated Care Models for Older Adults with Depression and Physical Comorbidity: A Scoping Review. Int J Integr Care 2024; 24:1. [PMID: 38222854 PMCID: PMC10786096 DOI: 10.5334/ijic.7576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 12/07/2023] [Indexed: 01/16/2024] Open
Abstract
Objective Multimorbidity is a growing challenge in the care for older people with mental illness. To address both physical and mental illnesses, integrated care management is required. The purpose of this scoping review is to identify core components of integrated care models for older adults with depression and physical comorbidity, and map reported outcomes and implementation strategies. Methods PubMed, EMBASE, CINAHL and Cochrane Library were searched independently by two reviewers for studies concerning integrated care interventions for older adults with depression and physical comorbidity. We used the SELFIE framework to map core components of integrated care models. Clinical and organisational outcomes were mapped. Results Thirty-eight studies describing thirteen care models were included. In all care models, a multidisciplinary team was involved. The following core components were mainly described: continuity, person-centredness, tailored holistic assessment, pro-activeness, treatment interaction, individualized care planning, and coordination tailored to complexity of care needs. Twenty-seven different outcomes were evaluated, with more attention given to clinical than to organisational outcomes. Conclusion The core components that comprise integrated care models are diverse. Future studies should focus more on implementation aspects of the intervention and describe financial parts, e.g., the cost of the intervention for the healthcare user, more transparently.
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Affiliation(s)
- Laura Tops
- Academic Centre of General Practice, KU Leuven, Kapucijnenvoer 7, Box 7001, 3000, Leuven, Belgium
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Simon Gabriël Beerten
- Academic Centre of General Practice, KU Leuven, Kapucijnenvoer 7, Box 7001, 3000, Leuven, Belgium
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Mathieu Vandenbulcke
- Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Geriatric Psychiatry, University Psychiatric Centre, KU Leuven, Leuven, Belgium
| | - Mieke Vermandere
- Academic Centre of General Practice, KU Leuven, Kapucijnenvoer 7, Box 7001, 3000, Leuven, Belgium
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Mieke Deschodt
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
- Competence Center for Nursing, University Hospitals Leuven, Belgium
- Gerontology and Geriatrics, University Hospitals Leuven, Belgium
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Gomaa H, Baweja R, Mukherjee D, He F, Pearl AM, Waschbusch DA, Aksu EA, Liao D, Saunders EFH. Transdiagnostic and functional predictors of depression severity and trajectory in the Penn state psychiatry clinical assessment and rating evaluation system (PCARES) registry. J Affect Disord 2022; 298:86-94. [PMID: 34715185 PMCID: PMC10171723 DOI: 10.1016/j.jad.2021.10.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/19/2021] [Accepted: 10/22/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Timely, accurate diagnosis and subsequent identification of risk factors for depression that is difficult-to-treat can aid in decreasing the burden of depressive illness and reducing probability of future disability. We aimed to identify sociodemographic, clinical, and functional factors that predict depression severity over one year in a real-world, naturalistic, transdiagnostic clinical sample. A subset sample with moderate depression was examined to determine the magnitude of improvement. METHODS The Penn State Psychiatry Clinical Assessment and Rating System (PCARES) Registry houses data from systematically-structured patient-reported outcomes and clinical data from an Electronic Medical Record (EMR) gathered during routine clinical care of patients seeking mental health care at a mid-Atlantic clinic. Self-report symptom and functional measures were obtained, and sociodemographic features and clinical diagnoses were extracted from the EMR from 1,766 patients between 2/6/2016 to 9/30/2019. The Patient Health Questionnaire 9 (PHQ-9) depression scale was obtained at each visit. Using a discrete mixture clustering model, the study population was divided into five longitudinal trajectory groups, termed depression severity groups, based on intra-individual PHQ-9 score trajectories over one year. Multinomial logistic regression models were estimated to evaluate associations between characteristics and the likelihood of depression severity group membership. To determine the magnitude of improvement, predictors of the slope of the PHQ-9 trajectory were examined for patients with moderate depression. RESULTS The strongest predictors of high depression severity over one year were poor functioning, high transdiagnostic DSM-5 Level 1 crosscutting symptom score, diagnosis of Post-Traumatic Stress Disorder (PTSD), public/self-pay insurance, female gender, and non-White race. Among the subset of patients with moderate depression, strong predictors of improvement were commercial insurance and exposure to trauma; the strongest predictors of worsening were high functional impairment, high transdiagnostic Level 1 symptom score, diagnosis of PTSD, diagnosis of bipolar disorder, and marital status of single or formerly married; depression-specific symptom measures were not predictive. LIMITATIONS Limitations include inferring education and income status from zip code level-data, the non-random missingness of data, and the use of diagnoses collected from the electronic medical record. CONCLUSION Functional impairment, transdiagnostic measures of symptom burden, and insurance status are strong predictors of depression severity and poor outcome.
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Affiliation(s)
- Hassaan Gomaa
- Department of Psychiatry and Behavioral Health, Penn State College of Medicine and Penn State Health Milton S. Hershey Medical Center, Hershey, PA, United States
| | - Ritika Baweja
- Department of Psychiatry and Behavioral Health, Penn State College of Medicine and Penn State Health Milton S. Hershey Medical Center, Hershey, PA, United States
| | - Dahlia Mukherjee
- Department of Psychiatry and Behavioral Health, Penn State College of Medicine and Penn State Health Milton S. Hershey Medical Center, Hershey, PA, United States
| | - Fan He
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States
| | - Amanda M Pearl
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States
| | - Daniel A Waschbusch
- Department of Psychiatry and Behavioral Health, Penn State College of Medicine and Penn State Health Milton S. Hershey Medical Center, Hershey, PA, United States
| | - Errol A Aksu
- Department of Psychiatry and Behavioral Health, Penn State College of Medicine and Penn State Health Milton S. Hershey Medical Center, Hershey, PA, United States
| | - Duanping Liao
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States
| | - Erika F H Saunders
- Department of Psychiatry and Behavioral Health, Penn State College of Medicine and Penn State Health Milton S. Hershey Medical Center, Hershey, PA, United States.
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Xiang X, Cheng J. Trajectories of major depression in middle-aged and older adults: A population-based study. Int J Geriatr Psychiatry 2019; 34:1506-1514. [PMID: 31179582 PMCID: PMC6742519 DOI: 10.1002/gps.5161] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 06/01/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVES This study aimed to examine depression trajectories and correlates in a nationally representative sample of middle-aged and older adults in the United States. METHODS The study sample consisted of 15 661 participants aged over 50 years from the US Health and Retirement Study. Major depression was assessed using the Composite International Diagnostic Interview (CIDI-SF). Depression trajectories were identified using a group-based trajectory modeling enhanced to account for nonrandom attrition. Multinomial logistic regression was conducted to investigate predictors of depression trajectories. RESULTS Four depression trajectory groups were identified: "never" (85.8%), "increasing" (6.3%), "decreasing" (3.2%), and "persistently moderate/high" (4.7%). Baseline depressive symptom severity was a strong predictor of depression trajectories. Older age, male sex, and non-Hispanic African American race were associated with a lower risk of the three trajectories with small to high depression burden, whereas chronic disease count was associated with a higher risk of these trajectories. The risk of being on the increasing trajectory increased with mobility difficulties. Difficulties in household activities predicted membership in the persistently moderate/high group. CONCLUSIONS A small but nonignorable proportion of middle-aged and older adults have chronic major depression. Initial symptom severity and chronic disease burden are consistent risk factors for unfavorable depression trajectories and potential targets for screening and intervention.
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Affiliation(s)
- Xiaoling Xiang
- School of Social WorkUniversity of Michigan Ann Arbor MI
| | - Jianjia Cheng
- School of Social WorkUniversity of Michigan Ann Arbor MI
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Nelson KL, Purtle J. Perceptions of patient-provider communication and receipt of mental health treatment among older adults with depressive symptoms. Aging Ment Health 2019; 23:485-490. [PMID: 29338318 DOI: 10.1080/13607863.2018.1426719] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVES This study aimed to: (1) determine if and how perceptions towards healthcare providers differ between older adults with and without clinically signifcant depressive symptoms (CSDS), and (2) assess whether perceptions towards providers are associated with receipt of mental health treatment among older adults with CSDS. METHODS Data from the 2013 and 2014 Medical Expenditure Panel Survey were used to examine CSDS prevalence, receipt of mental health treatment, and perceptions of provider communication among community-dwelling adults ≥ age 65 (N = 6,936) using four of the 'How Well Doctors Communicate' composite items from the Consumer Assessment of Healthcare Providers and Systems(CAHPS). Multivariate logistic regression was used. RESULTS CSDS are associated with greater odds of having 'poor' perceptions of provider communication on all four CAHPS communication measures. Perceptions of provider communication are similar among older adults with CSDS who received and did not receive mental health treatment, except on an item measuring a provider's ability to explain information in ways patients understand. CONCLUSION Older adults with CSDS have more negative perceptions of the quality of their communication with healthcare providers than their peers. Healthcare systems should consider how to accommodate these patients' unique needs and communication preferences to ensure receipt of quality care.
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Affiliation(s)
- Katherine L Nelson
- a Department of Health Management and Policy, Dornsife School of Public Health , Drexel University , Philadelphia , PA , USA
| | - Jonathan Purtle
- a Department of Health Management and Policy, Dornsife School of Public Health , Drexel University , Philadelphia , PA , USA
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Predictors of treatment outcome in depression in later life: A systematic review and meta-analysis. J Affect Disord 2018; 227:164-182. [PMID: 29100149 DOI: 10.1016/j.jad.2017.10.008] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Revised: 09/13/2017] [Accepted: 10/01/2017] [Indexed: 02/04/2023]
Abstract
BACKGROUND Predictor analyses of late-life depression can be used to identify variables associated with outcomes of treatments, and hence ways of tailoring specific treatments to patients. The aim of this review was to systematically identify, review and meta-analyse predictors of outcomes of any type of treatment for late-life depression. METHODS Pubmed, Embase, CINAHL, Web of Science and PsycINFO were searched for studies published up to December 2016. Primary and secondary studies reported treatment predictors from randomised controlled trials of any treatment for patients with major depressive disorder aged over 60 were included. Treatment outcomes included response, remission and change in depression score. RESULTS Sixty-seven studies met the inclusion criteria. Of 65 identified statistically significant predictors, only 7 were reported in at least 3 studies. Of these, 5 were included in meta-analyses, and only 3 were statistically significant. Most studies were rated as being of moderate to strong quality and satisfied key quality criteria for predictor analyses. LIMITATIONS The searches were limited to randomised controlled trials and most of the included studies were secondary analyses. CONCLUSIONS Baseline depression severity, co-morbid anxiety, executive dysfunction, current episode duration, early improvement, physical illnesses and age were reported as statistically significant predictors of treatment outcomes. Only the first three were significant in meta-analyses. Subgroup analyses showed differences in predictor effect between biological and psychosocial treatment. However, high heterogeneity and small study numbers suggest a cautious interpretation of results. These predictors were associated with various mechanisms including brain pathophysiology, perceived social support and proposed distinct types of depressive disorder. Further investigation of the clinical utility of these predictors is suggested.
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Comijs HC, Nieuwesteeg J, Kok R, van Marwijk HW, van der Mast RC, Naarding P, Voshaar RCO, Verhaak P, de Waal MWM, Stek ML. The two-year course of late-life depression; results from the Netherlands study of depression in older persons. BMC Psychiatry 2015; 15:20. [PMID: 25775143 PMCID: PMC4329675 DOI: 10.1186/s12888-015-0401-5] [Citation(s) in RCA: 84] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Accepted: 01/26/2015] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND We aimed to examine the course of depression during 2-year follow-up in a group clinically depressed older persons. Subsequently, we studied which socio-demographic and clinical characteristics predict a depression diagnoses at 2-year follow-up. METHODS Data were used from the Netherlands Study of Depression in Older persons (NESDO; N = 510). Diagnoses of depression DSM-IV-TR criteria were available from 285 patients at baseline and at 2-year follow-up. Severity of the depressive symptoms, as assessed with the Inventory of Depressive Symptoms (IDS), was obtained from 6-monthly postal questionnaires. Information about socio-demographic and clinical variables was obtained from the baseline measurement. RESULT From the 285 older persons who were clinically depressed at baseline almost half (48.4%) also suffered from a depressive disorder two years later. Patients with more severe depressive symptoms, comorbid dysthymia, younger age of onset and more chronic diseases were more likely to be depressed at 2-year follow-up. 61% of the persons that were depressed at baseline had a chronic course of depressive symptoms during these two years. CONCLUSIONS Late-life depression often has a chronic course, even when treated conform current guidelines for older persons. Our results suggest that physical comorbidity may be candidate for adjusted and intensified treatment strategies of older depressed patients with chronic and complex pathology.
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Affiliation(s)
- Hannie C Comijs
- Department Psychiatry/EMGO Institute for Health and Care Research VU University Medical Center/GGZinGeest, Amsterdam, The Netherlands ,GGZinGeest, Amsterdam, The Netherlands
| | | | - Rob Kok
- Parnassia/BAVO groep, Department of Old-age Psychiatry, The Hague, The Netherlands
| | - Harm W van Marwijk
- VU University Medical Center, Department of General Practice and Elderly Care Medicine/EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
| | - Roos C van der Mast
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Paul Naarding
- GGNet, Department of Old-age Psychiatry, Apeldoorn/Zutphen, The Netherlands
| | - Richard C Oude Voshaar
- Department of Psychiatry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands ,University of Groningen, University Medical Center Groningen, Interdisciplinary Center for Psychopathology of Emotion regulation (ICPE), Groningen, The Netherlands
| | - Peter Verhaak
- Department General Practice, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands ,NIVEL, Netherlands Institute of Health Services Research, Utrecht, the Netherlands
| | - Margot WM de Waal
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
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Zivin K, Wharton T, Rostant O. The economic, public health, and caregiver burden of late-life depression. Psychiatr Clin North Am 2013; 36:631-49. [PMID: 24229661 PMCID: PMC4024243 DOI: 10.1016/j.psc.2013.08.008] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
This article reviews the burden of late-life depression (LLD) from several perspectives, including costs of depression treatment and treatment of other comorbid psychiatric and medical conditions; the impact of LLD on job functioning, disability, and retirement; and how LLD influences others, such as family members and caregivers.
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Affiliation(s)
- Kara Zivin
- Serious Mental Illness Treatment Resource and Evaluation Center, Center for Clinical Management Research, Department of Veterans Affairs, Plymouth Road, Ann Arbor, MI 48109, USA; Department of Psychiatry, University of Michigan Medical School, Plymouth Road, Ann Arbor, MI 48109, USA; Institute for Social Research, University of Michigan Medical School, Thompson Street, Ann Arbor, MI 48104, USA.
| | - Tracy Wharton
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI
| | - Ola Rostant
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI
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Magnil M, Janmarker L, Gunnarsson R, Björkelund C. Course, risk factors, and prognostic factors in elderly primary care patients with mild depression: a two-year observational study. Scand J Prim Health Care 2013; 31:20-5. [PMID: 23330583 PMCID: PMC3587299 DOI: 10.3109/02813432.2012.757074] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE The aim of this study was to observe course, risk factors, and prognostic factors in a primary care cohort aged > 60 with mild to moderate depression during two-year follow-up. DESIGN Observational study. SETTING Primary care. SUBJECTS AND METHOD During an 11-month period all (n = 302) consecutive patients aged 60 and above attending a primary care centre in Gothenburg, Sweden were screened by a nurse for depressive symptoms with the Primary Care Evaluation of Mental Disorders, Patient Questionnaire (PRIME-MD PQ) and the Montgomery-Åsberg Depression Rating Scale, self-rated version (MADRS-S) and by a GP with a patient-centred consultation model. In the second step, the GPs diagnosed depression in screen-positives by use of the PRIME-MD Clinical Evaluation Guide (PRIME-MD CEG). All patients with mild to moderate depression were followed up for two years to assess course with several MADRS-S score assessments. Main outcome measures. Risk factors, prognostic factors, and symptoms at baseline and after two years were tested with logistic regression, using the DSM-IV and MADRS-S (cut-off > 13) respectively. Course patterns were observed and described. RESULTS A total of 54 patients were diagnosed with depression. Follow-up revealed declining median MADRS-S scores and three course patterns: remitting, stable, and fluctuating. History of depression, significant life events, lacking leisure activities, and use of sedatives were risk factors for depression, all previously known. An important finding was that lacking leisure activities also increased the risk of depressive symptoms after two years (odds ratio 12, confidence interval 1.1-136). CONCLUSION It is desirable to identify elderly individuals with less severe depression. Three course patterns were observed; this finding requires further study of the clinical characteristics related to the different patterns. Awareness of risk factors may facilitate identification of those at highest risk of poor prognosis.
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Affiliation(s)
- Maria Magnil
- Department of Primary Health Care, Institute of Medicine, University of Gothenburg, SE-405 30 Gothenburg, Sweden.
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de Vries HF, Northington GM, Kaye EM, Bogner HR. Chronic medical conditions and reproducibility of self-reported age at menopause among community-dwelling women. Menopause 2011; 18:1298-302. [PMID: 21971208 PMCID: PMC3230663 DOI: 10.1097/gme.0b013e31821f92f2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The aim of this study was to examine the association between chronic medical conditions and reproducibility of self-reported age at menopause among community-dwelling women. METHODS Age at menopause was assessed in a population-based longitudinal survey of 240 women twice, in 1993 and 2004. Women who recalled age at menopause in 2004 within 1 year or less of age at menopause recalled in 1993 (concordant) were compared with women who did not recall age at menopause in 2004 within 1 year of age at menopause recalled in 1993 (discordant). Type of menopause (surgical or natural) and chronic medical conditions were assessed by self-report. RESULTS One hundred forty-three women (59.6%) reported surgical menopause, and 97 (40.4%) reported natural menopause. In all, 130 (54.2%) women recalled age at menopause in 2004 within 1 year or less of recalled age at menopause in 1994, whereas 110 (45.8%) women did not recall age at menopause in 2004 within 1 year or less of recalled age at menopause in 1994. Among the women with surgical menopause, the women with three or more medical conditions were less likely to have concordant recall of age at menopause than the women with less than three chronic medical conditions (adjusted odds ratio, 0.36; 95% CI, 0.15-0.91) in multivariate models controlling for potentially influential characteristics including cognition and years since menopause. CONCLUSIONS Among women who underwent surgical menopause, the presence of three or more medical conditions is associated with decreased reproducibility of self-reported age at menopause.
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Affiliation(s)
- Heather F. de Vries
- Department of Family Medicine and Community Health, University of Pennsylvania, 3400 Spruce St., 2 Gates Building, Philadelphia, PA 19104, USA
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, 423 Guardian Dr., 9 Blockley Hall, Philadelphia, PA 19104, USA
| | - Gina M. Northington
- Department of Obstetrics and Gynecology, Hospital of the University of Pennsylvania, 3400 Spruce St., 1000 Courtyard, Philadelphia, PA 19041, USA
| | - Elise M. Kaye
- Department of Family Medicine and Community Health, University of Pennsylvania, 3400 Spruce St., 2 Gates Building, Philadelphia, PA 19104, USA
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, 423 Guardian Dr., 9 Blockley Hall, Philadelphia, PA 19104, USA
| | - Hillary R. Bogner
- Department of Family Medicine and Community Health, University of Pennsylvania, 3400 Spruce St., 2 Gates Building, Philadelphia, PA 19104, USA
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, 423 Guardian Dr., 9 Blockley Hall, Philadelphia, PA 19104, USA
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