Abstract
The level of illness acceptance correlates positively with compliance to the doctor’s recommendations, and negatively with the frequency and intensity of complications of chronic diseases. The purpose of this study was to determine the influence of the clinical condition on the level of illness acceptance, and to find variables which would have the most profound effect on the level of illness acceptance in patients with chronic respiratory diseases. The study group consisted of 594 adult patients (mean age: 60 ± 15 years) with mixed chronic respiratory diseases, recruited from patients of 136 general practitioners. The average score in the Acceptance of Illness Scale was 26.2 ± 7.6. The low level of illness acceptance was noted in 174 (62.6 %) and high in 46 (16.6 %) patients. Analysis of multiple regressions was used to examine the influence of explanatory variables on the level of illness acceptance. The variables which shaped the level of illness acceptance in our patients included: improvement of health, intensity of symptoms, age, marital status, education level, place of residence, BMI, and the number of chronic diseases. All above mentioned variables should be considered during a design of prevention programs for patients with mixed chronic respiratory diseases.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA (2013) Health-related quality of life and healthcare utilization in multimorbidity: results of a cross-sectional survey. Qual Life Res 22:791–799
Anderson RM, Donnelly MB, Dedrick RF, Gressard CP (1991) The attitudes of nurses, dietitians, and physicians toward diabetes. Diabetes Educator 17:261–268
Anderson RM, Donnelly MB, Davis WK (1992) Controversial beliefs about diabetes and its care. Diabetes Care 15:859–863
Bodenheimer T, Wagner EH, Grumbach K (2002) Improving primary care for patients with chronic illness. JAMA 288:1775–1779
Christensen NK, Terry RD, Wyatt S, Pichert JW, Lorenz RA (1983) Quantitative assessment of dietary adherence in patients with insulin-dependent diabetes mellitus. Diabetes Care 6:245–250
Cianciara D (2012). Siemens report. Available from: www.siemens.pl/pool/healthcare/raport_siemensa_2012.pdf. Accessed 15 Jan 2013
Donabedian A (1980) Explorations in quality assessment and monitoring, vol 1, The definition of quality and approaches to its assessment. Health Administration Press, Ann Arbor
Felton BJ, Revenson TA, Hinrichsen GA (1984) Stress and coping in the explanation of psychological adjustment among chronically ill adults. Soc Sci Med 18:889–898
Flores LM, Davis R, Culross P (2007) Community health: a critical approach to addressing chronic diseases. Prev Chronic Dis 4:A108
Fortin M, Bravo G, Hudon C, Lapointe L, Dubois MF, Almirall J (2006) Psychological distress and multimorbidity in primary care. Ann Fam Med 4:417–422
Gerlach FM, Beyer M, Muth C, Saal K, Gensichen J (2006) New perspectives in the primary care of the chronically ill–against the ‘tyranny of the urgent’. German J Evid Qual Health Care 100:335–343
Golin CE, DiMatteo MR, Gelberg L (1996) The role of patient participation in the doctor visit: implications for adherence to diabetes care. Diabetes Care 19:1153–1164
Helseth LD, Susman JL, Crabtree BF, O’Connor PJ (1999) Primary care physicians’ perceptions of diabetes management: a balancing act. J Fam Pract 48:37–42
Juczynski Z (2009) Measurement instruments in promotion and psychology of health. Laboratory of Psychological Tests of the Polish Psychological Society, Warsaw (in Polish)
Juczynski Z, Adamiak G (2000) Psychological and behavioral predictors of the quality of life of people with multiple sclerosis. Pol Merkur Lekarski 8:413–415
Kringos DS, Boerma WG, Hutchinson A, van der Zee J, Groenewegen PP (2010) The breadth of primary care: a systematic literature review of its core dimensions. BMC Health Serv Res 10:65
Lickiewicz B, Zwolinska-Wcislo M, Lickiewicz J, Rozpondek P, Mach T (2010) Significance of personality features in the illness adaptation process in patients with inflammatory bowel disease. Przeglad Gastroenterologiczny 3:157–163
Nowicki A, Ostrowska Z (2008) Disease acceptance in patients after surgery from breast cancer during supplementary treatment. Pol Merkur Lekarski 24:403–407
O’Connor PJ (1998) From blame to understanding: moving diabetes care forward. J Fam Pract 46:205–206
Ouwens M, Wollersheim H, Hermens R, Hulscher M, Grol R (2005) Integrated care programmes for chronically ill patients: a review of systematic reviews. International J Qual Health Care 17:141–146
Wagner EH (2000) The role of patient care teams in chronic disease management. Br Med J 320:569–572
Wasowski M, Marcinowska-Suchowierska E (2006) Reasons for failure of pharmacological treatment of chronic diseases with a special emphasis on osteoporosis. Postepy Nauk Medycznych 6:359–366
Wing RR, Epstein LH, Nowalk MP, Scott N, Koeske R (1985) Compliance to self monitoring of blood glucose: a marked-item technique compared with self-report. Diabetes Care 8:456–460
Wright SJ, Kirby A (1999) Deconstructing conceptualizations of ‘adjustment’ to chronic illness: a proposed integrative framework. J Health Psychol 4:259–272
Conflicts of Interest
The authors have no financial or otherwise relations that might lead to a conflict of interest.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Kurpas, D., Mroczek, B., Brodowski, J., Urban, M., Nitsch-Osuch, A. (2014). Does Health Status Influence Acceptance of Illness in Patients with Chronic Respiratory Diseases?. In: Pokorski, M. (eds) Neurotransmitter Interactions and Cognitive Function. Advances in Experimental Medicine and Biology(), vol 837. Springer, Cham. https://doi.org/10.1007/5584_2014_47
Download citation
DOI: https://doi.org/10.1007/5584_2014_47
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10005-0
Online ISBN: 978-3-319-10006-7
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)