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Comorbidity and Healthcare Expenditure in Women with Osteoporosis Living in the Basque Country (Spain)

DOI: 10.1155/2014/205954

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Abstract:

Objectives. This study aimed to establish the prevalence of multimorbidity in women diagnosed with osteoporosis and to report it by deprivation index. The characteristics of comorbidity in osteoporotic women are compared to the general female chronic population, and the impact on healthcare expenditure of this population group is estimated. Methods. A cross-sectional analysis that included all Basque Country women aged 45 years and over ( = 579,575) was performed. Sociodemographic, diagnostic, and healthcare cost data were extracted from electronic databases for a one-year period. Chronic conditions were identified from their diagnoses and prescriptions. The existence of two or more chronic diseases out of a list of 47 was defined as multimorbidity. Results. 9.12% of women presented osteoporosis and 85.04% of them were multimorbid. Although multimorbidity in osteoporosis increased with age and deprivation level, prevalence was higher in the better-off groups. Women with osteoporosis had greater risk of having other musculoskeletal disorders but less risk of having diabetes (RR = 0.65) than chronic patients without osteoporosis. People with poorer socioeconomic status had higher healthcare cost. Conclusions. Most women with osteoporosis have multimorbidity. The variety of conditions emphasises the complexity of clinical management in this group and the importance of maintaining a generalist and multidisciplinary approach to their clinical care. 1. Background Multimorbidity, defined as two or more coexisting chronic conditions within an individual [1], is a growing phenomenon in ageing societies and is especially prevalent in older age groups [2–4]. Multimorbidity makes management of chronic conditions by clinicians more complex; they often lack evidence on the best care strategies to follow with this type of patient. In fact, clinical guidelines rarely address multimorbidity and clinical trials often exclude comorbid and older patients [5, 6]. Individuals manifesting multimorbidity are typically associated with higher degrees of disability, lower quality of life, greater psychological distress and mortality risk [7–9], and increased use of health (and social) care [10, 11] services than if we considered these chronic conditions in isolation or individuals with a single chronic condition. It is of particular relevance for patients, their carers, and healthcare providers, but increasingly a concern for policy makers and societies as a whole [7]. Therefore, it is widely accepted that health systems need to focus their strategies in organising healthcare

References

[1]  J. M. Valderas, B. Starfield, B. Sibbald, C. Salisbury, and M. Roland, “Defining comorbidity: Implications for understanding health and health services,” Annals of Family Medicine, vol. 7, no. 4, pp. 357–363, 2009.
[2]  E. Loza, J. A. Jover, L. Rodriguez, and L. Carmona, “Multimorbidity: prevalence, effect on quality of life and daily functioning, and variation of this effect when one condition is a rheumatic disease,” Seminars in Arthritis and Rheumatism, vol. 38, no. 4, pp. 312–319, 2009.
[3]  M. Fortin, M. Stewart, M. Poitras, J. Almirall, and H. Maddocks, “A systematic review of prevalence studies on multimorbidity: toward a more uniform methodology,” Annals of Family Medicine, vol. 10, no. 2, pp. 142–151, 2012.
[4]  M. E. Salive, “Multimorbidity in older adults,” Epidemiologic Reviews, vol. 35, no. 1, pp. 75–83, 2013.
[5]  L. D. Hughes, M. E. T. McMurdo, and B. Guthrie, “Guidelines for people not for diseases: the challenges of applying UK clinical guidelines to people with multimorbidity,” Age and Ageing, vol. 42, no. 1, pp. 62–69, 2013.
[6]  B. Guthrie, K. Payne, P. Alderson, M. E. T. McMurdo, and S. W. Mercer, “Adapting clinical guidelines to take account of multimorbidity,” British Medical Journal, vol. 345, no. 7878, Article ID e6341, 2012.
[7]  I. Kirchberger, C. Meisinger, M. Heier et al., “Patterns of multimorbidity in the aged population. results from the KORA-Age study,” PLoS ONE, vol. 7, no. 1, Article ID e30556, 2012.
[8]  M. Fortin, H. Soubhi, C. Hudon, E. A. Bayliss, and M. van den Akker, “Multimorbidity's many challenges,” The British Medical Journal, vol. 334, no. 7602, pp. 1016–1017, 2007.
[9]  C. Vogeli, A. E. Shields, T. A. Lee et al., “Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs,” Journal of General Internal Medicine, vol. 22, no. 3, pp. 391–395, 2007.
[10]  J. F. Orueta, E. Alonso- Morán, R. Nu?o-Solinis, A. Alday-Jurado, E. Gutiérrez-Fraile, and A. García-álvarez, “Prevalence and costs of chronicity and multimorbidity in the population covered by the Basque public telecare service,” Anales del sistema sanitario de Navarra, vol. 36, no. 3, pp. 429–440, 2013.
[11]  R. Gijsen, N. Hoeymans, F. G. Schellevis, D. Ruwaard, W. A. Satariano, and G. A. M. van den Bos, “Causes and consequences of comorbidity: a review,” Journal of Clinical Epidemiology, vol. 54, no. 7, pp. 661–674, 2001.
[12]  N. E. Schoenberg, H. Kim, W. Edwards, and S. T. Fleming, “Burden of common multiple-morbidity constellations on out-of-pocket medical expenditures among older adults,” The Gerontologist, vol. 47, no. 4, pp. 423–437, 2007.
[13]  J. L. Wolff, B. Starfield, and G. Anderson, “Prevalence, expenditures, and complications of multiple chronic conditions in the elderly,” Archives of Internal Medicine, vol. 162, no. 20, pp. 2269–2276, 2002.
[14]  P. Geusens and G. Dinant, “Integrating a gender dimension into osteoporosis and fracture risk research,” Gender Medicine, vol. 4, supplement 2, pp. S147–S161, 2007.
[15]  J. F. Orueta, R. Nu?o-Solinís, A. García-Alvarez, and E. Alonso-Morán, “Prevalence of multimorbidity according to the deprivation level among the elderly in the Basque Country,” BMC Public Health, vol. 13, article 918, 2013.
[16]  J. F. Orueta, A. García-álvarez, E. Alonso-Morán, L. Vallejo-Torres, and R. Nu?o-Solinis, “Socioeconomic variation in the burden of chronic conditions and health care provision—analyzing administrative individual level data from the Basque Country, Spain,” BMC Public Health, vol. 13, article 870, 2013.
[17]  J. A. Kanis, O. Johnell, A. Oden, B. Jonsson, C. de Laet, and A. Dawson, “Risk of hip fracture according to the World Health Organization criteria for osteopenia and osteoporosis,” Bone, vol. 27, no. 5, pp. 585–590, 2000.
[18]  A. D. Woolf and B. Pfleger, “Burden of major musculoskeletal conditions,” Bulletin of the World Health Organization, vol. 81, no. 9, pp. 646–656, 2003.
[19]  J. F. Orueta, M. Mateos Del Pino, I. Barrio Beraza, R. Nu?o Solinis, M. Cuadrado Zubizarreta, and C. Sola Sarabia, “Stratification of the population in the Basque Country: results in the first year of implementation,” Atencion Primaria, vol. 45, no. 1, pp. 54–60, 2013.
[20]  R. Nu?o-Solinís, J. F. Orueta, and M. Mateos, “An answer to chronicity in the Basque Country: primary care-based population health management,” The Journal of Ambulatory Care Management, vol. 35, no. 3, pp. 167–173, 2012.
[21]  Spanish Institute of Health Information, “Spanish version (eCIE9MC) of the electronic International Classification of Diseases,” Ninth Revision, Clinical Modification (ICD-9-CM), 2012.
[22]  The WHO Collaborating Centre for Drug Statistics Methodology, Internationla Language for Drug Utilization Research ATC/DDD, 2012.
[23]  Johns Hopkins Bloomberg School of Public Health, The Johns Hopkins ACG Case-Mix System Technical Reference Guide Manual Version 9.0, 2009.
[24]  K. Barnett, S. W. Mercer, M. Norbury, G. Watt, S. Wyke, and B. Guthrie, “Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study,” The Lancet, vol. 380, no. 9836, pp. 37–43, 2012.
[25]  M. F. Domínguez-Berjón, C. Borrell, G. Cano-Serral et al., “Constructing a deprivation index based on census data in large Spanish cities [the MEDEA project],” Gaceta Sanitaria, vol. 22, no. 3, pp. 179–187, 2008.
[26]  Grupo de trabajo de la SEIOMM, “Osteoporosis posmenopáusica. Guía de práctica clínica. Sociedad espa?ola de investigaciones óseas y metabolismo mineral,” Revista Clínica Espa?ola, vol. 203, no. 10, pp. 496–506, 2003.
[27]  J. A. A. Dalstra, A. E. Kunst, C. Borell et al., “Socioeconomic differences in the prevalence of common chronic diseases: an overview of eight European countries,” International Journal of Epidemiology, vol. 34, no. 2, pp. 316–326, 2005.
[28]  I. Sch?fer, H. Hansen, G. Sch?n et al., “The influence of age, gender and socio-economic status on multimorbidity patterns in primary care. First results from the multicare cohort study.,” BMC Health Services Research, vol. 12, article 89, 2012.
[29]  C. B. Agborsangaya, D. Lau, M. Lahtinen, T. Cooke, and J. A. Johnson, “Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey,” BMC Public Health, vol. 12, article 201, 2012.
[30]  C. Borrell, E. Fernandez, A. Schiaffino et al., “Social class inequalities in the use of and access to health services in Catalonia, Spain: what is the influence of supplemental private health insurance?” International Journal for Quality in Health Care, vol. 13, no. 2, pp. 117–125, 2001.
[31]  C. S. Tsoi, J. Y. Chow, K. S. Choi, et al., “Medical characteristics of the oldest old: retrospective chart review of patients aged 85+ in an academic primary care centre,” BMC Research Notes, vol. 7, article 340, 2014.
[32]  M. L. González álvarez and A. C. Barranquero, “Inequalities in health care utilization in Spain due to double insurance coverage: an Oaxaca-Ransom decomposition,” Social Science and Medicine, vol. 69, no. 5, pp. 793–801, 2009.
[33]  J. Aubé-Maurice, L. Rochette, and C. Blais, “Divergent associations between incident hypertension and deprivation based on different sources of case identification,” Chronic Diseases and Injuries in Canada, vol. 32, no. 3, pp. 121–130, 2012.
[34]  H. Van Den Bussche, I. Sch?fer, B. Wiese et al., “A comparative study demonstrated that prevalence figures on multimorbidity require cautious interpretation when drawn from a single database,” Journal of Clinical Epidemiology, vol. 66, no. 2, pp. 209–217, 2013.
[35]  J. F. Orueta, R. Nu?o-Solinis, M. Mateos, I. Vergara, G. Grandes, and S. Esnaola, “Monitoring the prevalence of chronic conditions: which data should we use?” BMC Health Services Research, vol. 12, no. 1, article 365, 2012.
[36]  C. David, C. B. Confavreux, N. Mehsen, J. Paccou, A. Leboime, and E. Legrand, “Severity of osteoporosis: what is the impact of co-morbidities?” Joint Bone Spine: Revue du Rhumatisme, vol. 77, supplement 2, pp. S103–S106, 2010.

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