Multimorbidity as a predictor of health service utilization in primary care: a registry-based study of the Catalan population
Abstract Background Multimorbidity is highly relevant for both service commissioning and clinical decision-making. Optimization of variables assessing multimorbidity in order to enhance chronic care management is an unmet need. To this end, we have explored the contribution of multimorbidity to pred...
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| Format: | Article |
| Language: | English |
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BMC
2020-02-01
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| Series: | BMC Family Practice |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12875-020-01104-1 |
| _version_ | 1811318612735033344 |
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| author | D. Monterde E. Vela M. Clèries L. Garcia-Eroles J. Roca P. Pérez-Sust |
| author_facet | D. Monterde E. Vela M. Clèries L. Garcia-Eroles J. Roca P. Pérez-Sust |
| author_sort | D. Monterde |
| collection | DOAJ |
| description | Abstract Background Multimorbidity is highly relevant for both service commissioning and clinical decision-making. Optimization of variables assessing multimorbidity in order to enhance chronic care management is an unmet need. To this end, we have explored the contribution of multimorbidity to predict use of healthcare resources at community level by comparing the predictive power of four different multimorbidity measures. Methods A population health study including all citizens ≥18 years (n = 6,102,595) living in Catalonia (ES) on 31 December 2014 was done using registry data. Primary care service utilization during 2015 was evaluated through four outcome variables: A) Frequent attendants, B) Home care users, C) Social worker users, and, D) Polypharmacy. Prediction of the four outcome variables (A to D) was carried out with and without multimorbidity assessment. We compared the contributions to model fitting of the following multimorbidity measures: i) Charlson index; ii) Number of chronic diseases; iii) Clinical Risk Groups (CRG); and iv) Adjusted Morbidity Groups (GMA). Results The discrimination of the models (AUC) increased by including multimorbidity as covariate into the models, namely: A) Frequent attendants (0.771 vs 0.853), B) Home care users (0.862 vs 0.890), C) Social worker users (0.809 vs 0.872), and, D) Polypharmacy (0.835 vs 0.912). GMA showed the highest predictive power for all outcomes except for polypharmacy where it was slightly below than CRG. Conclusions We confirmed that multimorbidity assessment enhanced prediction of use of healthcare resources at community level. The Catalan population-based risk assessment tool based on GMA presented the best combination of predictive power and applicability. |
| first_indexed | 2024-04-13T12:28:48Z |
| format | Article |
| id | doaj.art-52fa2148ab904d08828974dc78b16a8e |
| institution | Directory Open Access Journal |
| issn | 1471-2296 |
| language | English |
| last_indexed | 2024-04-13T12:28:48Z |
| publishDate | 2020-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Family Practice |
| spelling | doaj.art-52fa2148ab904d08828974dc78b16a8e2022-12-22T02:46:56ZengBMCBMC Family Practice1471-22962020-02-012111910.1186/s12875-020-01104-1Multimorbidity as a predictor of health service utilization in primary care: a registry-based study of the Catalan populationD. Monterde0E. Vela1M. Clèries2L. Garcia-Eroles3J. Roca4P. Pérez-Sust5Sistemes d’Informació, Institut Català de la SalutUnitat d’informació i Coneixement, Servei Català de la SalutUnitat d’informació i Coneixement, Servei Català de la SalutGerència de Sistemes d’informació, Servei Català de la SalutHospital Clinic de Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERES, Universitat de BarcelonaSistemes d’Informació, Institut Català de la SalutAbstract Background Multimorbidity is highly relevant for both service commissioning and clinical decision-making. Optimization of variables assessing multimorbidity in order to enhance chronic care management is an unmet need. To this end, we have explored the contribution of multimorbidity to predict use of healthcare resources at community level by comparing the predictive power of four different multimorbidity measures. Methods A population health study including all citizens ≥18 years (n = 6,102,595) living in Catalonia (ES) on 31 December 2014 was done using registry data. Primary care service utilization during 2015 was evaluated through four outcome variables: A) Frequent attendants, B) Home care users, C) Social worker users, and, D) Polypharmacy. Prediction of the four outcome variables (A to D) was carried out with and without multimorbidity assessment. We compared the contributions to model fitting of the following multimorbidity measures: i) Charlson index; ii) Number of chronic diseases; iii) Clinical Risk Groups (CRG); and iv) Adjusted Morbidity Groups (GMA). Results The discrimination of the models (AUC) increased by including multimorbidity as covariate into the models, namely: A) Frequent attendants (0.771 vs 0.853), B) Home care users (0.862 vs 0.890), C) Social worker users (0.809 vs 0.872), and, D) Polypharmacy (0.835 vs 0.912). GMA showed the highest predictive power for all outcomes except for polypharmacy where it was slightly below than CRG. Conclusions We confirmed that multimorbidity assessment enhanced prediction of use of healthcare resources at community level. The Catalan population-based risk assessment tool based on GMA presented the best combination of predictive power and applicability.http://link.springer.com/article/10.1186/s12875-020-01104-1Chronic careComorbidityPrimary careHealth service utilizationRisk assessment |
| spellingShingle | D. Monterde E. Vela M. Clèries L. Garcia-Eroles J. Roca P. Pérez-Sust Multimorbidity as a predictor of health service utilization in primary care: a registry-based study of the Catalan population BMC Family Practice Chronic care Comorbidity Primary care Health service utilization Risk assessment |
| title | Multimorbidity as a predictor of health service utilization in primary care: a registry-based study of the Catalan population |
| title_full | Multimorbidity as a predictor of health service utilization in primary care: a registry-based study of the Catalan population |
| title_fullStr | Multimorbidity as a predictor of health service utilization in primary care: a registry-based study of the Catalan population |
| title_full_unstemmed | Multimorbidity as a predictor of health service utilization in primary care: a registry-based study of the Catalan population |
| title_short | Multimorbidity as a predictor of health service utilization in primary care: a registry-based study of the Catalan population |
| title_sort | multimorbidity as a predictor of health service utilization in primary care a registry based study of the catalan population |
| topic | Chronic care Comorbidity Primary care Health service utilization Risk assessment |
| url | http://link.springer.com/article/10.1186/s12875-020-01104-1 |
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