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Predictors for self‐management in older adults with type 2 diabetic nephropathy

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  • Li‐Yun Lee
  • Heng‐Hsin Tung
  • Shiow‐Luan Tsay
  • Yen‐Chin Chen
  • Hsiao‐Huang Lee
  • Yu‐Xiong Zeng

Abstract

Aim and Objectives To investigate factors related to self‐management and predictors of self‐management in older adult patients with type 2 diabetic nephropathy. Background Diabetic patients suffer many comorbidities during their lifetime, and the process of self‐management is complex. Self‐management and an integrated care experience are extremely important for older adults with diabetic nephropathy. Design A cross‐sectional correlation design was adopted. Methods A total of 123 older patients were enrolled in the study from June 2016 to November 2017. Data collection involved a demographic questionnaire, the Patients' Experience of Integrated Care Questionnaire and the Partners in Health Scale to measure the integrated care experience and self‐management. Data analysis included descriptive statistics, independent t tests, Pearson product‐moment correlation and multiple linear regression. The methods are consistent with the STROBE criteria (Data S1). Results The results showed that the majority of the sample was female (56.9%). The average age was 77 years old. Stepwise regression analysis showed that re‐admission during the past year (p

Suggested Citation

  • Li‐Yun Lee & Heng‐Hsin Tung & Shiow‐Luan Tsay & Yen‐Chin Chen & Hsiao‐Huang Lee & Yu‐Xiong Zeng, 2020. "Predictors for self‐management in older adults with type 2 diabetic nephropathy," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(5-6), pages 922-931, March.
    • Handle: RePEc:wly:jocnur:v:29:y:2020:i:5-6:p:922-931
    DOI: 10.1111/jocn.15154
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    1. Paola Ballotari & Francesco Venturelli & Valeria Manicardi & Francesca Ferrari & Massimo Vicentini & Marina Greci & Fabio Pignatti & Simone Storani & Paolo Giorgi Rossi, 2018. "Effectiveness of integrated care model for type 2 diabetes: A population-based study in Reggio Emilia (Italy)," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-16, March.
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