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Using Patient Profiles for Sustained Diabetes Management Among People With Type 2 Diabetes

Supporting Files Public Domain
File Language:
English


Details

  • Journal Article:
    Preventing Chronic Disease (PCD)
  • Personal Author:
  • Description:
    Introduction ; Our objective was to evaluate the association between patient profiles and sustained diabetes management (SDM) among patients with type 2 diabetes. ; Methods ; We collected HbA1c values recorded from 2014 through 2020 for 570 patients in a hospital in Taipei, Taiwan, and calculated a standard level based on an HbA1c level less than 7.0% to determine SDM. We used patients’ self-reported data on diabetes self-care behaviors to construct profiles. We used 8 survey items to perform a latent profile analysis with 3 groups (poor management, medication adherence, and good management). After adjusting for other determining factors, we used multiple regression analysis to explore the relationship between patient profiles and SDM. ; Results ; The good management group demonstrated better SDM than the poor management group (β = 0.183; P = .003). Using the most recent HbA1c value and the 7-year average of HbA1c values as the outcome, we found lower HbA1c values in the good management group than in the poor management group (β = −0.216 P = .01 and −0.217 P = .008, respectively). ; Conclusion ; By using patient profiles, we confirmed a positive relationship between optimal patient behavior in self-care management and SDM. Patients with type 2 diabetes exhibited effective self-care management behavior and engaged in more health care activities, which may have led to better SDM. In promoting patient-centered care, using patient profiles and customized health education materials could improve diabetes care.
  • Subjects:
  • Source:
    Prev Chronic Dis. 2023; 20
  • DOI:
  • ISSN:
    1545-1151
  • Pubmed ID:
    36927708
  • Pubmed Central ID:
    PMC10038094
  • Document Type:
  • Place as Subject:
  • Volume:
    20
  • Download URL:
  • File Type:
    Filetype[PDF - 484.81 KB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:c27f3ccef440f113dddb14cdf5ff8ced2a33979680f02565e1ce127ec231309795194b048ac04d4adf9c2109bce4f911ab9057cf08d0d997c876ab3ada173909
File Language:
English
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