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Nicholson K, Liu W, Fitzpatrick D, Hardacre KA, Roberts S, Salerno J, Stranges S, Fortin M, Mangin D. Prevalence of multimorbidity and polypharmacy among adults and older adults: a systematic review. THE LANCET. HEALTHY LONGEVITY 2024; 5:e287-e296. [PMID: 38452787 DOI: 10.1016/s2666-7568(24)00007-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 12/28/2023] [Accepted: 01/15/2024] [Indexed: 03/09/2024] Open
Abstract
Multimorbidity (multiple conditions) and polypharmacy (multiple medications) are increasingly common, yet there is a need to better understand the prevalence of co-occurrence. In this systematic review, we examined the prevalence of multimorbidity and polypharmacy among adults (≥18 years) and older adults (≥65 years) in clinical and community settings. Six electronic databases were searched, and 87 studies were retained after two levels of screening. Most studies focused on adults 65 years and older and were done in population-based community settings. Although the operational definitions of multimorbidity and polypharmacy varied across studies, consistent cut-points (two or more conditions and five or more medications) were used across most studies. In older adult samples, the prevalence of multimorbidity ranged from 4·8% to 93·1%, while the prevalence of polypharmacy ranged from 2·6% to 86·6%. High heterogeneity between studies indicates the need for more consistent reporting of specific lists of conditions and medications used in operational definitions.
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Affiliation(s)
- Kathryn Nicholson
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada; Department of Family Medicine, McMaster University, Hamilton, ON, Canada.
| | - Winnie Liu
- Michael G DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada
| | - Daire Fitzpatrick
- Michael G DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada; Department of Family Medicine, Queen's University, Kingston, ON, Canada
| | - Kate Anne Hardacre
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Sarah Roberts
- Michael G DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada; Department of Family Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Jennifer Salerno
- Department of Family Medicine, McMaster University, Hamilton, ON, Canada; Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Saverio Stranges
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada; Department of Family Medicine, Western University, London, ON, Canada; Department of Medicine, Western University, London, ON, Canada; Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Martin Fortin
- Department of Family Medicine and Emergency Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Dee Mangin
- Department of Family Medicine, McMaster University, Hamilton, ON, Canada; Department of General Practice, University of Otago, Christchurch, New Zealand
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Sánchez Molla M, Candela García I, Orozco-Beltrán D, Gil-Guillén VF, Carratalá-Munuera C, García RN. [Predictive validity of Clinical Risk Groups in chronic patients in primary healthcare]. Aten Primaria 2024; 56:102814. [PMID: 38029654 PMCID: PMC10716497 DOI: 10.1016/j.aprim.2023.102814] [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: 07/21/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
OBJECTIVE To analyse a prediction model for admissions and hospital emergencies based on Clinical Risk Groups, in a population of complex chronic patients demanding primary care. DESIGN A multicentric retrospective observational study, of a cohort of chronic patients with comorbidity, from January until December 2013. PLACE The study population was assigned to the Santa Pola and Raval health centres from the Health Department of Elche. PARTICIPANTS Cohort of chronic patients with comorbidity, from January to December 2013. INTERVENTIONS Data about the number of admissions, reasons and complexity level associated with the admission were collected by the review of medical records. MAIN MEASURES To determine the level of complexity, the classification included in the chronicity strategy of the Valencian Community based on Clinical Risk Groups was used. RESULTS Five hundred and four patients were recruited with a high complexity degree (N3) and 272 with moderate/low complexity (N1-N2). A higher comorbidity was observed in N3 patients with high complexity [Charlson 2.9 (DE 1.8) vs. 1.9 (DE 1.3); P<.001], and higher dependence degree for basic diary activities [Barthel 16.1 (n=81) vs. 7.3 (n=20); P<.001]. Association between the number of admissions [0.4 (DE 0.8) vs. 0.1 (DE 0.5); P<.001] and emergency visits [0.8 (DE 1.5) vs. 0.3 (DE 0.8), P<.001] was significatively higher in patients from N3 group than N1-N2 groups. CONCLUSIONS The predictive capacity of CRG grouper showed high sensibility for the patient classification with a high degree of complexity. Its specificity and positive predictive value were lower for the association of the N3 complexity stratum.
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Affiliation(s)
- Manuel Sánchez Molla
- Departamento de Medicina Clínica, Universidad Miguel Hernández, San Juan de Alicante, Alicante, España; Medicina Familiar y Comunitaria, Cap El Raval Elx-Centro, Elche, Alicante, España
| | - Inmaculada Candela García
- Departamento de Medicina Clínica, Universidad Miguel Hernández, San Juan de Alicante, Alicante, España
| | - Domingo Orozco-Beltrán
- Departamento de Medicina Clínica, Universidad Miguel Hernández, San Juan de Alicante, Alicante, España; Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), España
| | - Vicente F Gil-Guillén
- Departamento de Medicina Clínica, Universidad Miguel Hernández, San Juan de Alicante, Alicante, España; Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), España; Instituto de Salud e Investigación Biomédica de Alicante, Hospital General Universitario de Alicante, Centro de Diagnóstico, Alicante, España
| | - Concepción Carratalá-Munuera
- Departamento de Medicina Clínica, Universidad Miguel Hernández, San Juan de Alicante, Alicante, España; Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), España; Instituto de Salud e Investigación Biomédica de Alicante, Hospital General Universitario de Alicante, Centro de Diagnóstico, Alicante, España.
| | - Rauf Nouni García
- Departamento de Medicina Clínica, Universidad Miguel Hernández, San Juan de Alicante, Alicante, España; Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), España; Instituto de Salud e Investigación Biomédica de Alicante, Hospital General Universitario de Alicante, Centro de Diagnóstico, Alicante, España
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