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Social Network Structures of Primary Health Care Teams Associated with Health Outcomes in Alcohol Drinkers with Diabetes

  • Conference paper
Book cover Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8393))

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Abstract

This study evaluates if social network structures in primary care teams are related to biometric outcomes of diabetic alcohol drinkers. The study results show that primary care teams with less hierarchical face-to-face social networks (i.e. more connection density, more 3-tie closures and less network centrality) have better controlled HbA1c, LDL cholesterol and blood pressure among their diabetic alcohol drinking patients. Notably, more interconnected primary care teams, with members who engage others in face-to-face communication about patient care, who feel emotionally supported by their coworkers, and who feel like they work with friends, share the same goals and objectives for patient care and have better patient outcomes, as evidenced by the diabetic biometric measures of their team’s patients.

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References

  1. Mokdad, A.H., Ford, E.S., Bowman, B.A., et al.: Prevalence of obesity, diabetes, and obesity-related health risk factors. JAMA 2003 289(1), 76–79 (2001)

    Google Scholar 

  2. Hogan, P., Dall, T., Nikolov, P.: American Diabetes A. Economic costs of diabetes in the US in 2002. Diabetes Care 26(3), 917–932 (2003)

    Article  Google Scholar 

  3. Stratton, I.M., Adler, A.I., Neil, H.A., et al.: Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ (Clinical research ed) 321(7258), 405–412 (2000)

    Article  Google Scholar 

  4. Ahmed, A.T., Karter, A.J., Warton, E.M., Doan, J.U., Weisner, C.M.: The relationship between alcohol consumption and glycemic control among patients with diabetes: the Kaiser Permanente Northern California Diabetes Registry. J. Gen. Intern. Med. 23(3), 275–282 (2008)

    Article  Google Scholar 

  5. Chew, L.D., Nelson, K.M., Young, B.A., Bradley, K.A.: Association between alcohol consumption and diabetes preventive practices. Fam. Med. 37(8), 589–594 (2005)

    Google Scholar 

  6. Ahmed, A.T., Karter, A.J., Liu, J.: Alcohol consumption is inversely associated with adherence to diabetes self-care behaviours. Diabetic Med. 23(7), 795–802 (2006)

    Article  Google Scholar 

  7. Engler, P.A., Ramsey, S.E., Smith, R.J.: Alcohol use of diabetes patients: the need for assessment and intervention. Acta Diabetol. 50(2), 93–99 (2013)

    Article  Google Scholar 

  8. Cox, W.M., Blount, J.P., Crowe, P.A., Singh, S.P.: Diabetic patients’ alcohol use and quality of life: relationships with prescribed treatment compliance among older males. Alcohol Clin. Exp. Res. 20(2), 327–331 (1996)

    Article  Google Scholar 

  9. Johnson, K.H., Bazargan, M., Bing, E.G.: Alcohol consumption and compliance among inner-city minority patients with type 2 diabetes mellitus. Arch. Fam. Med. 9(10), 964–970 (2000)

    Article  Google Scholar 

  10. Fleming, M., Brown, R., Brown, D.: The efficacy of a brief alcohol intervention combined with %CDT feedback in patients being treated for type 2 diabetes and/or hypertension. J. Stud. Alcohol 65(5), 631–637 (2004)

    Google Scholar 

  11. Ettner, S.L.: The relationship between continuity of care and the health behaviors of patients: does having a usual physician make a difference? Med. Care. 37(6), 547–555 (1999)

    Article  Google Scholar 

  12. Cook, W.K., Cherpitel, C.J.: Access to health care and heavy drinking in patients with diabetes or hypertension: implications for alcohol interventions. Subst. Use Misuse 47(6), 726–733 (2012)

    Article  Google Scholar 

  13. Dijkstra, R., Braspenning, J., Grol, R.: Implementing diabetes passports to focus practice reorganization on improving diabetes care. Int. J. Qual. Health C 20(1), 72–77 (2008)

    Google Scholar 

  14. Stevenson, K., Baker, R., Farooqi, A., Sorrie, R., Khunti, K.: Features of primary health care teams associated with successful quality improvement of diabetes care: a qualitative study. Fam. Pract. 18(1), 21–26 (2001)

    Article  Google Scholar 

  15. Mohr, D.C., Benzer, J.K., Young, G.J.: Provider Workload and Quality of Care in Primary Care Settings Moderating Role of Relational Climate. Med. Care 51(1), 108–114 (2013)

    Article  Google Scholar 

  16. Sparrowe, R.T., Liden, R.C., Wayne, S.J., Kraimer, M.L.: Social networks and the performance of individuals and groups. Acad. Manage. J. 44(2), 316–325 (2001)

    Article  Google Scholar 

  17. Balkundi, P., Harrison, D.A.: Ties, leaders, and time in teams: Strong inference about network structure’s effects on team viability and performance. Acad. Manage. J. 49(1), 49–68 (2006)

    Article  Google Scholar 

  18. Chambers, D., Wilson, P., Thompson, C., Harden, M.: Social Network Analysis in Healthcare Settings: A Systematic Scoping Review. PLoS One 7(8) (2012)

    Google Scholar 

  19. Schmutz, J., Manser, T.: Do team processes really have an effect on clinical performance? A systematic literature review. Br. J. Anaesth. 110(4), 529–544 (2013)

    Article  Google Scholar 

  20. Davidoff, F.: Heterogeneity Is Not Always Noise Lessons From Improvement. JAMA 302(23), 2580–2586 (2009)

    Article  Google Scholar 

  21. Zhou, S.H., Siu, F., Wang, M.H.: Effects of social tie content on knowledge transfer. J. Knowl. Manag. 14(3), 449–463 (2010)

    Article  Google Scholar 

  22. Lin, C.P.: To share or not to share: Modeling tacit knowledge sharing, its mediators and antecedents. J. Bus. Ethics 70(4), 411–428 (2007)

    Article  Google Scholar 

  23. Zhong, X.P., Huang, Q., Davison, R.M., Yang, X., Chen, H.P.: Empowering teams through social network ties. Int. J. Inform. Manage. 32(3), 209–220 (2012)

    Article  Google Scholar 

  24. Lee, D., Pae, J., Wong, Y.: A model of close business relationships in China (guanxi). Eur. J. Marketing 35(1/2), 51–69 (2001)

    Article  Google Scholar 

  25. Ibarra, H., Andrews, S.B.: Power, Social-Influence, and Sense Making - Effects of Network Centrality and Proximity on Employee Perceptions. Adm. Sci. Q. 38(2), 277–303 (1993)

    Article  Google Scholar 

  26. Berman, E.M., West, J.P., Richter, M.N.: Workplace relations: Friendship patterns and consequences (according to managers). Public Adm. Rev. 62(2), 217–230 (2002)

    Article  Google Scholar 

  27. Gibbons, D.E.: Friendship and advice networks in the context of changing professional values. Adm. Sci. Q. 49(2), 238–262 (2004)

    Google Scholar 

  28. Anderson, N.R., West, M.A.: Measuring climate for work group innovation: development and validation of the team climate inventory. J. Organ. Behav. 19(3), 235–254 (1998)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Family Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA

    Marlon P. Mundt & Larissa I. Zakletskaia

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  1. Marlon P. Mundt
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  2. Larissa I. Zakletskaia
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Editors and Affiliations

  1. Center for Social Complexity and Department of Computational Social Science, George Mason University, 4400 University Drive, MS 6B2, 22030-4400, Fairfax, VA, USA

    William G. Kennedy

  2. University of Arkansas at Little Rock, 2801 South University Avenue, EIT Building, Room 553, 72204, Little Rock, AR, USA

    Nitin Agarwal

  3. Department of Computer Engineering, Rochester Institute of Technology, 83 Lomb Memorial Drive, Bldg 09, 14623-5603, Rochester, NY, USA

    Shanchieh Jay Yang

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© 2014 Springer International Publishing Switzerland

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Mundt, M.P., Zakletskaia, L.I. (2014). Social Network Structures of Primary Health Care Teams Associated with Health Outcomes in Alcohol Drinkers with Diabetes. In: Kennedy, W.G., Agarwal, N., Yang, S.J. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2014. Lecture Notes in Computer Science, vol 8393. Springer, Cham. https://doi.org/10.1007/978-3-319-05579-4_40

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  • DOI: https://doi.org/10.1007/978-3-319-05579-4_40

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05578-7

  • Online ISBN: 978-3-319-05579-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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