Feasibility and acceptability of a tailored health coaching intervention to improve type 2 diabetes self-management in Saudi Arabia: A mixed-methods randomised feasibility trial
Data files
May 14, 2024 version files 5.29 KB
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README.md
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Study_s_preliminary_impact_outcomes.txt
Abstract
Background: Around a third of the population of Saudi Arabia have been diagnosed with Type 2 diabetes, a condition often requiring lifestyle changes. Personalised health coaching, a strategy developed to assist individuals in overcoming challenges to adopt healthy behaviours, has not yet been widely applied in the country.
Aims: We aim to explore the feasibility and acceptability of tailored health coaching in Saudi Arabia, in order to help those with Type 2 diabetes to more effectively manage their condition.
Methods: Using a mixed-methods approach, this research involved a randomised controlled trial with 30 Saudi adults who have Type 2 diabetes. They were randomly allocated into either the intervention or control arm for 12 weeks. The Capability, Opportunity, Motivation, and Behaviour framework was used to guide the intervention implementation along with the Behaviour Change Techniques Taxonomy version 1. The primary goal was to assess the suitability and duration of the intervention, recruitment, retention, and completion rates. The secondary outcome focused on the preliminary efficacy of the health coaching measured by the glycaemic index, blood pressure, body mass index, waist circumference, weight, patient self-efficacy, and diabetes self-management.
Results: The results showed high rates of eligibility, recruitment, and retention (a screening rate of 90%, a recruiting rate of 79%, and a retention rate of 97%). Notable improvements were observed in the health coaching group across five outcomes: HbA1c, BMI, waist circumference, patient self-efficacy, and diabetes self-care. Qualitative findings highlighted the participants' perceived benefits from the intervention, including enhanced motivation, better understanding of diabetes management, and a supportive coaching relationship. Participants expressed high satisfaction with the intervention and advocated for its expansion.
Conclusion: The findings demonstrated positive outcomes, supporting the need for a larger randomised controlled trial to evaluate the efficacy of health coaching in improving diabetes self-management among individuals with Type 2 diabetes.
README: Feasibility and Acceptability of a Tailored Health Coaching Intervention to Improve Type 2 Diabetes Self-Management in Saudi Arabia: A Mixed-Methods Randomised Feasibility Trial
https://doi.org/10.5061/dryad.x69p8czsk
This dataset accompanies the manuscript titled "Feasibility and Acceptability of a Tailored Health Coaching Intervention to Improve Type 2 Diabetes Self-Management in Saudi Arabia: A Mixed-Methods Randomised Feasibility Trial". It consists of quantitative and qualitative data from a randomized controlled feasibility trial aimed at assessing the impact of health coaching on Type 2 Diabetes management in Saudi Arabia.
Description of the data and file structure
Data Files:
Quantitative_Data.xlsx: Contains anonymized participant data including baseline and post-intervention measures of HbA1c levels, BMI, waist circumference, blood pressure, and diabetes self-care activities.
Qualitative_Transcripts.docx: Transcripts from interviews and focus groups discussing participant experiences and perceptions of the health coaching intervention.
Describe relationships between data files, missing data codes, other abbreviations used. Be as descriptive as possible.
Relationships and Abbreviations:
HbA1c: Hemoglobin A1c
BMI: Body Mass Index
COM-B: Capability, Opportunity, Motivation, and Behavior
BCTTv1: Behavior Change Technique Taxonomy version 1
Sharing/Access information
The data are stored and accessible at the following location on Dryad: https://doi.org/10.5061/dryad.x69p8czsk. No secondary sources were used to derive this data.
Code/Software
The analysis was conducted using SPSS and Stata for quantitative data and NVivo for qualitative data analysis. The specific scripts and commands used are included in the Analysis_Scripts folder:
Quantitative_Analysis.sps: SPSS script for statistical testing and regression analysis.
Qualitative_Analysis.qda: NVivo project file with coding details.Please ensure that you have the appropriate versions of these software packages to run the scripts. The versions used are SPSS v25, Stata 16, and NVivo 12.