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Amirzada M, Buczak-Stec E, König HH, Hajek A. Multimorbidity patterns in the German general population aged 40 years and over. Arch Gerontol Geriatr 2023; 114:105067. [PMID: 37257215 DOI: 10.1016/j.archger.2023.105067] [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] [Received: 01/19/2023] [Revised: 05/08/2023] [Accepted: 05/17/2023] [Indexed: 06/02/2023]
Abstract
AIM The aim of this study was to identify and describe multimorbidity patterns among middle-aged and older community-dwelling individuals in Germany. Moreover, we aimed to determine potential gender differences in multimorbidity patterns. METHODS We analysed data from the most recent (sixth) wave (2017) of the large nationally representative German Ageing Survey (DEAS). Altogether n = 6,554 individuals participated, mean age was 62.0 (ranging from 43 to 92 years). Latent Class Analysis was performed to identify multimorbidity patterns, based on 13 chronic conditions and diseases. Multimorbidity was defined as the presence of at least two chronic conditions. RESULTS Altogether, 53.3% of individuals were multimorbid. We identified and clinically described five multimorbidity patterns: the relatively healthy class (45.1%), the high morbidity class (10.8%), the arthrosis/inflammatory/mental illnesses class (20.6%), the hypertension-metabolic illness class (21.7%), and the cardiovascular/cancer class (1.7%). Our analysis revealed that women compared to men have higher relative risk (IRR = 1.61, 95% CI 1.25-2.06) of being in the arthrosis/inflammatory/mental illnesses class, compared to the relatively healthy class. Furthermore, we found that, depending on which multimorbidity pattern individuals belong to, they differ greatly in terms of socio-demographic factors, health behaviour, and lifestyle factors. CONCLUSIONS We showed that the many chronic diseases cluster in a non-random way. Five clinically meaningful multimorbidity patterns were identified. Gender differences were apparent only in one class, namely in the arthrosis/inflammatory/mental illnesses class.
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Affiliation(s)
- Massuma Amirzada
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Martinistr. 52, 20246, Hamburg, Germany.
| | - Elżbieta Buczak-Stec
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Martinistr. 52, 20246, Hamburg, Germany.
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Martinistr. 52, 20246, Hamburg, Germany
| | - André Hajek
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Martinistr. 52, 20246, Hamburg, Germany
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Soh CH, Lim WK, Maier AB. Predictors for the Transitions of Poor Clinical Outcomes Among Geriatric Rehabilitation Inpatients. J Am Med Dir Assoc 2022; 23:1800-1806. [PMID: 35760091 DOI: 10.1016/j.jamda.2022.05.019] [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: 03/02/2022] [Revised: 05/09/2022] [Accepted: 05/22/2022] [Indexed: 10/17/2022]
Abstract
OBJECTIVE To investigate the associations of morbidity burden and frailty with the transitions between functional decline, institutionalization, and mortality. DESIGN REStORing health of acutely unwell adulTs (RESORT) is an ongoing observational, longitudinal inception cohort and commenced on October 15, 2017. Consented patients were followed for 3 months postdischarge. SETTING AND PARTICIPANTS Consecutive geriatric rehabilitation inpatients admitted to geriatric rehabilitation wards. METHODS Patients' morbidity burden was assessed at admission using the Charlson Comorbidity Index (CCI) and Cumulative Illness Rating Scale (CIRS). Frailty was assessed using the Clinical Frailty Scale (CFS) and modified Frailty Index based on laboratory tests (mFI-lab). A multistate model was applied at 4 time points: 2 weeks preadmission, admission, and discharge from geriatric rehabilitation and 3 months postdischarge, with the following outcomes: functional decline, institutionalization, and mortality. Cox proportional hazards regression was applied to investigate the associations of morbidity burden and frailty with the transitions between outcomes. RESULTS The 1890 included inpatients had a median age of 83.4 (77.6-88.4) years, and 56.3% were female. A higher CCI score was associated with a greater risk of transitions from preadmission and declined functional performance to mortality [hazard ratio (HR) 1.28, 95% CI 1.03-1.59; HR 1.32, 95% CI 1.04-1.67]. A higher CIRS score was associated with a higher risk of not recovering from functional decline (HR 0.80, 95% CI 0.69-0.93). A higher CFS score was associated with a greater risk of transitions from preadmission and declined functional performance to institutionalization (HR 1.28, 95% CI 1.10-1.49; HR 1.23, 95% CI 1.04-1.44) and mortality (HR 1.12, 95% CI 1.01-1.33; HR 1.11, 95% CI 1.003-1.31). The mFI-lab was not associated with any of the transitions. None of the morbidity measures or frailty assessment tools were associated with the transitions from institutionalization to other outcomes. CONCLUSIONS AND IMPLICATIONS This study demonstrates that greater frailty severity, assessed using the CFS, is a significant risk factor for poor clinical outcomes and demonstrates the importance of implementing it in the geriatric rehabilitation setting.
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Affiliation(s)
- Cheng Hwee Soh
- Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia
| | - Wen Kwang Lim
- Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia
| | - Andrea B Maier
- Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia; Department of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, the Netherlands; Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore.
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Lenti MV, Klersy C, Brera AS, Ballesio A, Croce G, Padovini L, Ciccocioppo R, Bertolino G, Di Sabatino A, Corazza GR. Aging underlies heterogeneity between comorbidity and multimorbidity frameworks. Intern Emerg Med 2022; 17:1033-1041. [PMID: 34993840 PMCID: PMC8736290 DOI: 10.1007/s11739-021-02899-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/17/2021] [Indexed: 11/26/2022]
Abstract
Studies exploring differences between comorbidity (i.e., the co-existence of additional diseases with reference to an index condition) and multimorbidity (i.e., the presence of multiple diseases in which no one holds priority) are lacking. In this single-center, observational study conducted in an academic, internal medicine ward, we aimed to evaluate the prevalence of patients with two or more multiple chronic conditions (MCC), comorbidity, or multimorbidity, correlating them with other patients' characteristics. The three categories were compared to the Cumulative Illness Rating Scale (CIRS) comorbidity index, age, gender, polytherapy, 30-day readmission, in-hospital and 30-day mortalities. Overall, 1394 consecutive patients (median age 80 years, IQR 69-86; F:M ratio 1.16:1) were included. Of these, 1341 (96.2%; median age 78 years, IQR 65-84; F:M ratio 1.17:1) had MCC. Fifty-three patients (3.8%) had no MCC, 286 (20.5%) had comorbidity, and 1055 (75.7%) had multimorbidity, showing a statistically significant (p < 0.001) increasing age trend (median age 38 years vs 71 vs 82, respectively) and increasing mean CIRS comorbidity index (1.53 ± 0.95 vs 2.97 ± 1.43 vs 4.09 ± 1.70, respectively). The CIRS comorbidity index was always higher in multimorbid patients, but only in the subgroups 75-84 years and ≥ 85 years was a significant (p < 0.001) difference (1.24 and 1.36, respectively) noticed. At multivariable analysis, age was always independently associated with in-hospital mortality (p = 0.002), 30-day mortality (p < 0.001), and 30-day readmission (p = 0.037), while comorbidity and multimorbidity were not. We conclude that age determines the most important differences between comorbid and multimorbid patients, as well as major outcomes, in a hospital setting.
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Affiliation(s)
- Marco Vincenzo Lenti
- Department of Internal Medicine, Clinica Medica, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy
| | - Catherine Klersy
- Clinical Epidemiology and Biometry, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Alice Silvia Brera
- Department of Internal Medicine, Clinica Medica, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy
| | - Alessia Ballesio
- Department of Internal Medicine, Clinica Medica, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy
| | - Gabriele Croce
- Department of Internal Medicine, Clinica Medica, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy
| | - Lucia Padovini
- Department of Internal Medicine, Clinica Medica, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy
| | - Rachele Ciccocioppo
- Department of Internal Medicine, Clinica Medica, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy
| | - Giampiera Bertolino
- Department of Internal Medicine, Clinica Medica, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy
| | - Antonio Di Sabatino
- Department of Internal Medicine, Clinica Medica, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy
| | - Gino Roberto Corazza
- Department of Internal Medicine, Clinica Medica, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy.
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Health outcomes and implementation barriers and facilitators of comprehensive geriatric assessment in community settings: a systematic integrative review [PROSPERO registration no.: CRD42021229953]. BMC Geriatr 2022; 22:379. [PMID: 35488198 PMCID: PMC9052611 DOI: 10.1186/s12877-022-03024-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 03/29/2022] [Indexed: 11/20/2022] Open
Abstract
Background Comprehensive geriatric assessment (CGA) addresses the bio-psycho-social needs of older adults through multidimensional assessments and management. Synthesising evidence on quantitative health outcomes and implementation barriers and facilitators would inform practice and policy on CGA for community-dwelling older adults. Methods We systematically searched four medical and social sciences electronic databases for quantitative, qualitative, and mixed methods studies published from 1 January 2000 to 31 October 2020. Due to heterogeneity of articles, we narratively reviewed the synthesis of evidence on health outcomes and implementation barriers and facilitators. Results We screened 14,151 titles and abstracts and 203 full text articles, and included 43 selected articles. Study designs included controlled intervention studies (n = 31), pre-post studies without controls (n = 4), case-control (n = 1), qualitative methods (n = 3), and mixed methods (n = 4). A majority of articles studied populations aged ≥75 years (n = 18, 42%). CGAs were most frequently conducted in the home (n = 25, 58%) and primary care settings (n = 8, 19%). CGAs were conducted by nurses in most studies (n = 22, 51%). There was evidence of improved functional status (5 of 19 RCTs, 2 of 3 pre-post), frailty and fall outcomes (3 of 6 RCTs, 1 of 1 pre-post), mental health outcomes (3 of 6 RCTs, 2 of 2 pre-post), self-rated health (1 of 6 RCTs, 1 of 1 pre-post), and quality of life (4 of 17 RCTs, 3 of 3 pre-post). Barriers to implementation of CGAs involved a lack of partnership alignment and feedback, poor acceptance of preventive work, and challenges faced by providers in operationalising and optimising CGAs. The perceived benefits of CGA that served to facilitate its implementation included the use of highly skilled staff to provide holistic assessments and patient education, and the resultant improvements in care coordination and convenience to the patients, particularly where home-based assessments and management were performed. Conclusion There is mixed evidence on the quantitative health outcomes of CGA on community-dwelling older adults. While there is perceived positive value from CGA when carried out by highly skilled staff, barriers such as bringing providers into a partnership, greater acceptance of preventive care, and operational issues could impede its implementation. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-022-03024-4.
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Perrault-Sequeira L, Torti J, Appleton A, Mathews M, Goldszmidt M. Discharging the complex patient - changing our focus to patients' networks of care providers. BMC Health Serv Res 2021; 21:950. [PMID: 34507571 PMCID: PMC8431846 DOI: 10.1186/s12913-021-06841-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 07/30/2021] [Indexed: 11/18/2022] Open
Abstract
Background A disconnect exists between the idealized model of every patient having a family physician (FP) who acts as the central hub for care, and the reality of health care where patients must navigate a network of different providers. This disconnect is particularly evident when hospitalized multimorbid patients transition back into the community. These discharges are identified as high-risk due to lapses in care continuity. The aim of this study was to identify and explore the networks of care providers in a sample of hospitalized, complex patients, and better understand the nature of their attachments to these providers as a means of discovering novel approaches for improving discharge planning. Methods This was a constructivist grounded theory study. Data included interviews from 30 patients admitted to an inpatient internal medicine service of a midsized academic hospital in Ontario, Canada. Analysis and data collection proceeded iteratively with sampling progressing from purposive to theoretical. Results We identified network of care configurations commonly found in patients with multiple medical comorbidities receiving care from multiple different providers admitted to an internal medicine service. FPs and specialists form the network’s scaffold. The involvement of physicians in the network dictated not only how patients experienced transitions in care but the degree of reliance on social supports and personal capacities. The ideal for the multimorbid patient is an optimally involved FP that remains at the centre, even when patients require more subspecialized care. However, in cases where a rostered FP is non-existent or inadequate, increased involvement and advocacy from specialists is crucial. Conclusions Our results have implications for transition planning in hospitalized complex patients. Recognizing salient network features can help identify patients who would benefit from enhanced discharge support. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-021-06841-2.
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Affiliation(s)
| | - Jacqueline Torti
- Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.,Centre for Education Research & Innovation - Western University, London, ON, Canada
| | - Andrew Appleton
- Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
| | - Maria Mathews
- Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
| | - Mark Goldszmidt
- Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.,Centre for Education Research & Innovation - Western University, London, ON, Canada
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Lenti MV, Corazza GR. Administrative data for exploring multimorbidity in hospitalised patients. Intern Emerg Med 2020; 15:1161-1163. [PMID: 32193771 DOI: 10.1007/s11739-020-02307-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 02/28/2020] [Indexed: 10/24/2022]
Affiliation(s)
- Marco Vincenzo Lenti
- Department of Internal Medicine, San Matteo Hospital Foundation, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Piazzale Golgi 19, 27100, Pavia, Italy
| | - Gino Roberto Corazza
- Department of Internal Medicine, San Matteo Hospital Foundation, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Piazzale Golgi 19, 27100, Pavia, Italy.
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Sharpe M, Toynbee M, Walker J. Proactive Integrated Consultation-Liaison Psychiatry: A new service model for the psychiatric care of general hospital inpatients. Gen Hosp Psychiatry 2020; 66:9-15. [PMID: 32592995 DOI: 10.1016/j.genhosppsych.2020.06.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 06/11/2020] [Accepted: 06/12/2020] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To describe a new service model for the psychiatric care of general hospital inpatients, called Proactive Integrated Consultation-Liaison Psychiatry ('Proactive Integrated Psychological Medicine' in the UK). METHOD The new service model was developed especially for general hospital inpatient populations with multimorbidity, such as older medical inpatients. Its design was informed by the published literature and the clinical experience of C-L psychiatrists. It was operationalized by a process of iterative piloting. RESULTS The rationale for the new model and the principles underpinning it are outlined. Details of how to implement it, including a service manual and associated workbook, are provided. The training of clinicians to deliver it is described. The effectiveness and cost-effectiveness of this new service model is being evaluated. Whilst we have found it feasible to deliver and well-accepted by ward teams, potential challenges to its wider implementation are discussed. CONCLUSION Proactive Integrated Consultation-Liaison Psychiatry (PICLP) is a fusion of proactive consultation and integrated care, operationalized in a field-tested service manual. Initial experience indicates that it is feasible to deliver. Its effectiveness and cost effectiveness for older patients on acute medical wards is currently being evaluated in a large multicentre randomized controlled trial (The HOME Study).
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Affiliation(s)
- Michael Sharpe
- Psychological Medicine Research, University of Oxford Department of Psychiatry, Warneford Hospital, Oxford, UK.
| | - Mark Toynbee
- Psychological Medicine Research, University of Oxford Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - Jane Walker
- Psychological Medicine Research, University of Oxford Department of Psychiatry, Warneford Hospital, Oxford, UK
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- Psychological Medicine Research, University of Oxford Department of Psychiatry, Warneford Hospital, Oxford, UK
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