Growth Mindset Intervention for Older Adults With Chronic Disease

August 12, 2024 updated by: Yaling Zeng, Huzhou University

Growth Mindset Intervention Improves Positive Response to E-Health for Older Adults With Chronic Disease: A Randomized Controlled Trial

This study was conducted to develop and investigate the effectiveness of a growth mindset intervention based on growth mindset theory.

Study Overview

Status

Completed

Conditions

Detailed Description

The study employed a quasi-randomized controlled trial design conducted over 12 weeks. Before conducting the study, the researchers numbered the wards of internal medicine departments (excluding intensive care units) according to the order of bed number. The wards were then randomly divided into intervention wards and control wards using a random number generator. Patients were recruited to the control group (e-health only) in the control ward and the intervention group (growth mindset intervention+ e-health) in the intervention unit. Participants in the control group could undergo the training after the study concluded.

Study Type

Interventional

Enrollment (Actual)

77

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Zhejiang
      • Huzhou, Zhejiang, China, 313000
        • School of Medicine and Nursing, Huzhou University
      • Huzhou, Zhejiang, China, 313000
        • School of Nursing Huzhou University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • aged≥60 years
  • diagnosed≥1 chronic disease
  • owned at least one smartphone
  • could communicate clearly in writing or orally
  • were willing to participate in this study

Exclusion Criteria:

  • could not use WeChat or phone to communicate
  • diagnosed as mental illness or cognitive impairment
  • suffered from acute severe disease or lost self-care ability
  • undergoing other similar training

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: growth mindset + e-health
Participants received an e-health program intervention plus a growth mindset intervention over 12 weeks, with weekly sessions for the first 6 weeks and biweekly follow-up phone calls for the next six weeks.
Online intervention is implemented and it lasts about 20 minutes each time, while face-to-face intervention lasts about 30 minutes each time, and they are carried out for a total of six weeks, face-to-face or telephone intervention is implemented once every two weeks for about 15 minutes each time
Active Comparator: e-health only
Participants received an e-health program intervention over 12 weeks, with weekly sessions for the first 6 weeks and biweekly follow-up phone calls for the next six weeks.
face-to-face e-health teaching in the first 6 weeks, and telephone follow-up were conducted once a week, for about 10 minutes each time in the last 6 weeks

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Implicit Theories of Intelligence Scale-6
Time Frame: Baseline,Week 6, and Week 12
The Implicit Theories of Intelligence Scale-6 (ITIS-6) is a validated, self-reported instrument assessing participants' level of growth mindset. A mean score of greater than or equal to 4 on all items indicates that the individual has a growth mindset, and vice versa for a fixed mindset.
Baseline,Week 6, and Week 12
Questionnaire of Knowledge, Willingness, Confidence, and Practice of Smart Medicine (KWCP-SM)
Time Frame: Baseline,Week 6, and Week 12
The Questionnaire of Knowledge, Willingness, Confidence, and Practice of Smart Medicine (KWCP-SM) is a validated, self-reported instrument assessing participants' level of knowledge, willingness, confidence, and practice of smart medicine. The questionnaire adopted the Likert-5 scoring method. The higher score indicated a higher level of knowledge, willingness, confidence, and practice of smart medicine.
Baseline,Week 6, and Week 12

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Meijuan Cao, Huzhou University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 1, 2021

Primary Completion (Actual)

October 31, 2022

Study Completion (Actual)

October 31, 2022

Study Registration Dates

First Submitted

August 6, 2024

First Submitted That Met QC Criteria

August 12, 2024

First Posted (Actual)

August 13, 2024

Study Record Updates

Last Update Posted (Actual)

August 13, 2024

Last Update Submitted That Met QC Criteria

August 12, 2024

Last Verified

August 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • 2022015

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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