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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Stratified support pattern-based internet-assisted self-management therapy for diabetes mellitus -mild cognitive

Yun-Xian Wang1,2, Ji-Xing Liang3, Rong Lin4

  • 1The School of Nursing, Fujian Medical University, No. 88 Jiaotong Road, Fuzhou City, 350004, Fujian Province, China.

BMC Endocrine Disorders
|November 3, 2023
PubMed
Abstract

Insights

This study explores a new stratified support model for diabetes mellitus with mild cognitive impairment (DM-MCI) patients. The internet-assisted therapy aims to improve self-management and slow cognitive decline.

Area of Science:

  • Gerontology
  • Neurology
  • Endocrinology

Background:

  • Mild cognitive impairment (MCI) is common in older adults with diabetes mellitus (DM), necessitating effective self-management strategies.
  • Both DM and MCI are heterogeneous, requiring individualized approaches beyond current integrated interventions.
  • Stratifying patients by disease characteristics can optimize management and resource allocation for DM-MCI.

Purpose of the Study:

  • To investigate the feasibility and effectiveness of a stratified support model for DM-MCI patients.
  • To compare a novel internet-assisted therapy (SISMT) with a standard health manual intervention (HMI).

Main Methods:

  • Eighty-four DM-MCI patients were randomized into intervention (SISMT) and control (HMI) groups.
  • The SISMT group received internet-assisted therapy, while the HMI group received a health manual.
  • Outcomes including cognitive function, blood glucose, self-management, psychological status, health literacy, and behavior were assessed at 12 and 24 weeks.

Main Results:

  • The study aims to assess the impact of stratified self-management interventions on various patient outcomes.
  • Differences in cognitive function, blood glucose control, and psychological status between groups will be analyzed.
  • Changes in health literacy and self-management behaviors will be compared between the SISMT and HMI groups.

Conclusions:

  • A stratified support pattern-based internet-assisted therapy was developed for DM-MCI self-management.
  • The study will provide insights into optimizing interventions for DM-MCI patients.
  • Findings are expected to inform future research and potentially slow cognitive decline in this population.
Keywords:
Diabetes mellitusInternet-assistedMild cognitive impairmentSelf-managementStratified support pattern-based

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