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Cost effectiveness of a health literacy intervention to reduce HbA1c level among type 2 diabetes mellitus patients in Hospital Angkatan Tentera Tuanku Mizan

Cost effectiveness of a health literacy intervention to reduce HbA1c level among type 2 diabetes mellitus patients in Hospital Angkatan Tentera Tuanku Mizan

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12617000890336
Enrollment
116
Registered
2017-06-16
Start date
2017-03-01
Completion date
Unknown
Last updated
2017-08-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Malaysian diabetic patients are mostly poorly controlled, with a mean hemoglobin A1c (HbA1c) of 8.7% and only 22% of patients achieving the treatment goal of <6.5%.Clearly, an improvement in glycemic control is likely to reduce the risk of diabetic complications. Diabetic education is one of the approach to achieve HbA1c target. It is effective for improving clinical outcomes and quality of life of patients with diabetes. Health literacy targeted intervention is one type of diabetic education approach which integrate self-efficacy and self-care behavior into the module. It is targeted towards diabetic patients who have medium to low health literacy. The objective of this study is to develop, implement and evaluate the health literacy targeted intervention on reducing HbA1c level and cost effectiveness of the intervention among Type 2 Diabetes Mellitus patients at Hospital Angkatan Tentera Tuanku Mizan. This study will be carried out at Hospital Angkatan Tentera Tuanku Mizan (HATTM), specifically at Medical Outpatient Department (MOPD) and primary care centre of HATTM at Kem Kementah. Study design is parallel, single blind, randomized control trial will be used. There will be two arms, there are the intervention arm (receiving the Diabetes Literacy and Numeracy Toolkit (DLNET) module) and control arm (receiving the usual Diabetes Education module). Inclusion criteria will be confirmed patients with T2DM (within 6 months), adult ( Age more than 18 years old), able to understand English or Malay language, low health literacy (NVS score less than 4) and baseline HbA1c higher or equal to 6.5%. Exclusion criteria are patients who has psychiatric problem (e.g schizophrenia), high health literacy (NVS score more than 3), corrected visual acuity of less than 20/50 using a Rosenbaum Screener and color blinded. Sample size estimation is 58 participants for each arm. Data analysis will be done in different stages, with in subject analysis and between subject analyses. A General Linear Model (GLM) will be used for outcome without covariates and with covariates. Multivariate analysis of covariance (MANCOVA) will be used to see the different between controlling the covariates (after post hoc test) and without controlling the covariates (before post hoc test). Spearman correlation will be used to analysis correlation between self-efficacy and self-care. The independent variable of this study is DLNET intervention, intermediate dependent variables are self-efficacy score and self-care score and main dependent variable is HbA1c. Cost effectiveness analysis will be performed using cost effectiveness ratio

Interventions

The educator will be the diabetic nurse. Intervention module - Diabetes Literacy and Numeracy Education Toolkit (DLNET) adopted and adapted from Vanderbilt University This module specifically design for diabetes patients with moderate and low health literacy. DLNET used here will be modified to suit the culture, diet and anti diabetic treatment used in Malaysia. Teaching of this module will be face to face verbally in small groups (6-8 respondents) at a private room in a primary care clinic. Tea

The educator will be the diabetic nurse. Intervention module - Diabetes Literacy and Numeracy Education Toolkit (DLNET) adopted and adapted from Vanderbilt University This module specifically design for diabetes patients with moderate and low health literacy. DLNET used here will be modified to suit the culture, diet and anti diabetic treatment used in Malaysia. Teaching of this module will be face to face verbally in small groups (6-8 respondents) at a private room in a primary care clinic. Teaching language will be in Bahasa Malaysia. This clinic is run by 2 family medicine physician. The respondents are selected from their diabetic patients list. Each teaching session is 2 hours per session alternate 2 weeks in 2 months (2 session per month in 2 months). The module booklet will be printed in Bahasa Malaysia. It will also available in PDF form. For this research I will be teaching the module with the help of diabetic educator. No treatment will given to the respondents except they will continue with their own medication. The sessions comprise of verbal education explaining self-care entities which are diet, exercise, blood sugar testing and control, medical treatment and foot care. Teaching technique is based on self-efficacy theory. It will be in two way communication between the educator and respondents. Other than that whats app group will be created for the intervention group.

Sponsors

Saifulsyahira Jaaman
Lead SponsorIndividual

Study design

Allocation
Randomised controlled trial
Intervention model
Parallel
Primary purpose
Educational / counselling / training
Masking
Blinded (masking used) (Subject)

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

i. Inclusion criteria a. Confirmed patients with Type 2 Diabetes (within 6 months) b. Adult ( Age = 18-80 years old) c. Able to understand English or Malay language d. Low health literacy (Newest Vital Sign score less than 4) e. Baseline HbA1c is more or equal to 6.5%

Exclusion criteria

ii. Exclusion criteria a. Patients who has psychiatric problem (e.g schizophrenia) b. High health literacy (Newest Vital Sign score more than 3) c. Corrected visual acuity of less than 20/50 using a Rosenbaum Screener d. Color blinded

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026