Social support systems as determinants of self-management and quality of life of people with diabetes across Europe: study protocol for an observational study

Health and Quality of Life Outcomes

Michel Wensing⁶  Anne Rogers²  Christina Foss⁵  Elka Todorova¹  Christos Lionis⁷  Poli Roukova¹  Ingrid Knutsen⁵  Manuel Serrano³  Mari Carmen Portillo⁴  Ivaylo Vassilev²  Jan van Lieshout⁶  Jan Koetsenruijter⁶ 

[1] Department of Economic Sociology, University of National and World Economy, Sofia, Bulgaria;Faculty of Health Sciences, NIHR Wessex CLAHRC, University of Southampton, Hampshire S017 1BJ, UK;Education, Health and Society Foundation, Murcia, Spain;Department of Adult Nursing, University of Navarra, Navarra, Spain;Institute for Health and Society, University of Oslo, P.O. Box 1130 Blindern, N-0318 Oslo, Norway;Radboud University Medical Centre, Scientific Institute for Quality in Healthcare, Nijmegen, The Netherlands;Clinic of Social and Family Medicine, Faculty of Medicine, University of Crete, Voutes, P.C. 71003, P.O. BOX 2208, Heraklion, Greece

关键词: Deprivation;    Community organisations;    Social networks;    Diabetes type 2;    Chronic illness;    Self-management;    Quality of life;   

Others  :  820378
DOI  :  10.1186/1477-7525-12-29

 received in 2013-12-06, accepted in 2014-02-25,  发布年份 2014

【 摘 要 】

Background

Long-term conditions pose major challenges for healthcare systems. Optimizing self-management of people with long-term conditions is an important strategy to improve quality of life, health outcomes, patient experiences in healthcare, and the sustainability of healthcare systems. Much research on self-management focuses on individual competencies, while the social systems of support that facilitate self-management are underexplored. The presented study aims to explore the role of social systems of support for self-management and quality of life, focusing on the social networks of people with diabetes and community organisations that serve them.

Methods

The protocol concerns a cross-sectional study in 18 geographic areas in six European countries, involving a total of 1800 individuals with diabetes and 900 representatives of community organisations. In each country, we include a deprived rural area, a deprived urban area, and an affluent urban area. Individuals are recruited through healthcare practices in the targeted areas. A patient questionnaire comprises measures for quality of life, self-management behaviours, social network and social support, as well as individual characteristics. A community organisations’ survey maps out interconnections between community and voluntary organisations that support patients with chronic illness and documents the scope of work of the different types of organisations. We first explore the structure of social networks of individuals and of community organisations. Then linkages between these social networks, self-management and quality of life will be examined, taking deprivation and other factors into account.

Discussion

This study will provide insight into determinants of self-management and quality of life in individuals with diabetes, focusing on the role of social networks and community organisations.

【 授权许可】

   
2014 Koetsenruijter et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

【 参考文献 】

• [1]Yach D, Stuckler D, Brownell KD: Epidemiologic and economic consequences of the global epidemics of obesity and diabetes. Nat Med 2006, 12(1):62-66.
• [2]International Diabetes Federation: Diabetes Atlas. 4th edition. 2009. edn
• [3]Dalstra JA, Kunst AE, Borrell C, Breeze E, Cambois E, Costa G, Geurts JJ, Lahelma E, Van Oyen H, Rasmussen NK, Regidor E, Spadea T, Mackenbach JP: Socioeconomic differences in the prevalence of common chronic diseases: an overview of eight European countries. Int Am J Epidemiol 2005, 34(2):316-326.
• [4]Connolly V, Unwin N, Sherriff P, Bilous R, Kelly W: Diabetes prevalence and socioeconomic status: a population based study showing increased prevalence of type 2 diabetes mellitus in deprived areas. J Epidemiol Community Health 2000, 54(3):173-177.
• [5]Hamman RF: Genetic and environmental determinants of non-insulin-dependent diabetes mellitus (NIDDM). Diabetes Metab Rev 1992, 8(4):287-338.
• [6]Gary TL, Genkinger JM, Guallar E, Peyrot M, Brancati FL: Meta-analysis of randomized educational and behavioral interventions in type 2 diabetes. Diabetes Educ 2003, 29(3):488-501.
• [7]Duke SA, Colagiuri S, Colagiuri R: Individual patient education for people with type 2 diabetes mellitus. Cochrane Database Syst Rev 2009., 1CD005268
• [8]Glazier RH, Bajcar J, Kennie NR, Willson K: A systematic review of interventions to improve diabetes care in socially disadvantaged populations. Diabetes Care 2006, 29(7):1675-1688.
• [9]Fowler JH, Christakis NA: Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study. BMJ 2008, 337:a2338.
• [10]UK Department of Health: Self care-a real choice: self care support-a practical option. London; 2005.
• [11]Reeves D, Kennedy A, Fullwood C, Bower P, Gardner C, Gately C, Lee V, Richardson G, Rogers A: Predicting who will benefit from an expert patients programme self-management course. Br J Gen Pract 2008, 58(548):198-203.
• [12]Maindal HT, Skriver MV, Kirkevold M, Lauritzen M, Sandbaek A: Comorbidity and lack of education countered participation in a diabetes prevention self-management program. J Nurs Healthc Chronic Illn 2011, 3(3):293-301.
• [13]Bury M, Pink D: The HSJ debate. Self-management of chronic disease doesn’t work. Health Serv J 2005, 115(5947):18-19. 11
• [14]van Dam HA, van der Horst FG, Knoops L, Ryckman RM, Crebolder HF, van den Borne BH: Social support in diabetes: a systematic review of controlled intervention studies. Patient Educ Couns 2005, 59(1):1-12.
• [15]Vassilev I, Rogers A, Sanders C, Kennedy A, Blickem C, Protheroe J, Bower P, Kirk S, Chew-Graham C, Morris R: Social networks, social capital and chronic illness self-management: a realist review. Chronic Illn 2011, 7(1):60-86.
• [16]Kennedy A, Rogers A, Bower P: Support for self care for patients with chronic disease. BMJ 2007, 335(7627):968-970.
• [17]Hinder S, Greenhalgh T: “This does my head in”. Ethnographic study of self-management by people with diabetes. BMC Health Serv Res 2012, 12:83. BioMed Central Full Text
• [18]Holt-Lunstad J, Smith TB, Layton JB: Social relationships and mortality risk: a meta-analytic review. PLoS Med 2010, 7(7):e1000316.
• [19]Christakis NA, Fowler JH: The collective dynamics of smoking in a large social network. N Engl J Med 2008, 358(21):2249-2258.
• [20]Christakis NA, Fowler JH: The spread of obesity in a large social network over 32 years. N Engl J Med 2007, 357(4):370-379.
• [21]Rosenquist JN, Murabito J, Fowler JH, Christakis NA: The spread of alcohol consumption behavior in a large social network. Ann Intern Med 2010, 152(7):426-433. W141
• [22]Christakis NA, Fowler JH: Social contagion theory: examining dynamic social networks and human behavior. Stat Med 2013, 32(4):556-577.
• [23]Rogers A, Vassilev I, Sanders C, Kirk S, Chew-Graham C, Kennedy A, Protheroe J, Bower P, Blickem C, Reeves D, Kapadia D, Brooks H, Fullwood C, Richardson G: Social networks, work and network-based resources for the management of long-term conditions: a framework and study protocol for developing self-care support. Implementation Sci 2011, 6:56. BioMed Central Full Text
• [24]Curry N, Mundle C, Sheil F, Weak L: The Voluntary and community sector in health. London: The Kings Fund; 2011.
• [25]Derose KP, Varda DM: Social capital and health care access a systematic review. Med Care Res Rev 2009, 66(3):272-306.
• [26]Giordano GN, Bjork J, Lindstrom M: Social capital and self-rated health - a study of temporal (causal) relationships. Soc Sci Med 2012, 75(2):340-348.
• [27]Verhaeghe PP, Tampubolon G: Individual social capital, neighbourhood deprivation, and self-rated health in England. Soc Sci Med 2012, 75(2):349-357.
• [28]Mohnen SM, Groenewegen PP, Volker B, Flap H: Neighborhood social capital and individual health. Soc Sci Med 2011, 72(5):660-667.
• [29]Nowak MA: Evolving cooperation. J Theor Biol 2012, 299:1-8.
• [30]Krysan M, Schuman H, Scott LJ, Beatty P: Response rates and response content in mail versus face-to-face surveys. Public Opin Quart 1994, 58(3):381-399.
• [31]Cohen J: A power primer. Psychol Bull 1992, 112(1):155-159.
• [32]Campbell MK, Fayers PM, Grimshaw JM: Determinants of the intracluster correlation coefficient in cluster randomized trials: the case of implementation research. Clin Trials 2005, 2(2):99-107.
• [33]Littenberg B, MacLean CD: Intra-cluster correlation coefficients in adults with diabetes in primary care practices: the vermont diabetes information system field survey. BMC Med Res Methodol 2006, 6:20. BioMed Central Full Text
• [34]Ware J Jr, Kosinski M, Keller SD: A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care 1996, 34(3):220-233.
• [35]Topolski TD, LoGerfo J, Patrick DL, Williams B, Walwick J, Patrick MB: The rapid assessment of physical activity (RAPA) among older adults. Prev Chronic Dis 2006, 3(4):A118.
• [36]Toobert DJ, Hampson SE, Glasgow RE: The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care 2000, 23(7):943-950.
• [37]Morisky DE, Green LW, Levine DM: Concurrent and predictive validity of a self-reported measure of medication adherence. Med Care 1986, 24(1):67-74.
• [38]Osborne RH, Elsworth GR, Whitfield K: The health education impact questionnaire (heiQ): an outcomes and evaluation measure for patient education and self-management interventions for people with chronic conditions. Patient Educ Couns 2007, 66(2):192-201.
• [39]Ritter PL, Stewart AL, Kaymaz H, Sobel DS, Block DA, Lorig KR: Self-reports of health care utilization compared to provider records. J Clin Epidemiol 2001, 54(2):136-141.
• [40]Laumann EO: Prestige and association in an urban community: an analysis of an urban stratification system. New York: Bobbs-Merrill; 1966.