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Enrolling by invitationNCT06189417HEWL-SMBUpdated Aug 9, 2024

Effect Of Health Extension Worker-Led Based Interventions on Improving Self-Management Behavior Among Diabetic Patients in Ethiopia

An interventional study of Health Extension Led club based Intervention in Diabetes Mellitus, Self-management Behavior and Glycosylated Hemoglobin Levels, sponsored by Debre Berhan University. Enrolling by invitation at 1 site in Ethiopia. Open to participants aged 20 Years to 79 Years. Per ClinicalTrials.gov, last updated 2024-08-09.

Sponsored by Debre Berhan University · Not applicable, Interventional, and Prevention

From the registry’s dates

  • Primary completion was expected by Feb 2025, 1 year 9 months ago, but the record still lists the study as enrolling by invitation.
Phase
Not applicable
Study type
Interventional
Enrollment
560
Allocation
Randomized
Ages
20 Years to 79 Years
Sex
All
01

Study summary

Despite the existence of lifestyle interventions designed to encourage self-management behaviors, the difficulty of adhering to recommended practices remains a widespread issue globally, including in Ethiopia. Traditional approaches to care have demonstrated limited effectiveness in promoting self-management behavior. As a potential solution, a Health Extension Worker-Led club-based intervention has been implemented. Therefore, the aim of this study is to assess the impact of the Health Extension Worker-Led club-based intervention on improving self-management behaviors and glycemic control.

The study will utilize a parallel-group, cluster randomized controlled trial design to investigate its objectives. The main focus of the research is to assess the average increase, both in terms of mean and percentage, in adherence to self-management behaviors and glycemic control. Additionally, the study aims to evaluating the acceptance of the intervention. To evaluate the impact of a Health Extension Worker-led intervention on self-management behavior and levels of glycosylated hemoglobin (HbA1C), a difference-in-difference analysis will be employed. A comparison of the intervention's effects across different groups will be conducted using an independent-sample t-test.

Read the detailed description

Despite the Ethiopian government's focus on non-communicable diseases, diabetes is increasingly becoming a major public health issue among adults. Unfortunately, diabetes care in numerous countries, including Ethiopia, is inadequate, resulting in undiagnosed cases, low rates of diabetes control, and failure to meet established care standards.

Insufficient readiness of healthcare services, inadequate training of healthcare professionals, and a lack of patient-centered interventions have contributed to inadequate healthcare coverage and suboptimal self-management behavior. The inadequate adherence to self-management behavior has become a critical issue, with half of the patients failing to comply in Ethiopia. Several systematic reviews and meta-analyses consistently indicate that the range for achieving good diabetes self-management behavior is between 49.8% and 51.12%.

To ensure the provision of high-quality diabetes care, it is vital to prioritize patient preferences and needs by adopting a patient-centered approach. The implementation of community-based care programs that prioritize patient-centeredness and aim to enhance patients' understanding of self-care management is of utmost importance. Published evidence strongly indicates that educational interventions can play a significant role in supporting individuals with diabetes to improve their self-care management.

The existing delivery approaches in various countries, including Ethiopia, are insufficient in facilitating the adoption of recommended self-care practices. Therefore, there is an urgent need to implement patient-centered care programs at the community level. To address this issue, a Health Extension Worker-Led club-based intervention has been introduced as a strategic intervention approach to fill this gap. The Health Extension Worker-led club-based intervention is seamlessly integrated into the existing Health Extension Program. The introduction of a community-based intervention has a significant impact on self-management behavior, improves access to chronic disease services, and enhances outcomes for individuals with chronic diseases.

To the best of our knowledge, there is a lack of evidence regarding the impact of a Health Extension Worker-led club based intervention on self-management behaviors in Ethiopia. Therefore, the objective of this study is to assess the impact of the Health Extension Worker (HEW)-led club-based intervention on improving self-management behaviors, glycemic control, and the acceptance of the intervention among individuals with diabetes in Ethiopia.

02

Conditions studied

  • Diabetes Mellitus, Self-management Behavior and Glycosylated Hemoglobin Levels

Browse trials for

Keywords

  • Health Extension Worker, Self-Management Behavior, Club Based Intervention, People with diabetes
03

In context

Diabetes Mellitus

8,290 studies on the registry are indexed under Diabetes Mellitus; 1,077 are open to participants now.

This study's planned enrollment of 560 is above the median of 80 across 6,023 interventional studies indexed under Diabetes Mellitus.

Browse Diabetes Mellitus studies →

Lead sponsor

Debre Berhan University is the lead sponsor of 6 studies on the registry; 2 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
20 Years to 79 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Patients with diabetes who have provided
  • Patients with diabetes who do not have any other diabetes-related health complications at the start of the study
  • Patients with diabetes who are not pregnant
  • Patients with diabetes who have completed six months in the study
  • Patients with diabetes who have expressed their intention to remain within the study facility (health post) and community.

Exclusion criteria

Exclusion Criteria:

  • Patients who decline to provide consent
  • Patients who, based on medical assessment by their physician, are deemed unable to participate in the intervention
  • Patients who choose not to continue with the intervention.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Triple (Participant, Care provider, Outcomes assessor)
Enrollment
560 participants (estimated)

Study arms

  • Experimental
    Intervention Group

    A total of 280 study participants are allocated to intervention group

    Behavioral: Health Extension Led club based Intervention

  • No intervention
    control group

    A total of 280 study participants are allocated to control group

Interventions

  • BehavioralHealth Extension Led club based Intervention

    The Health Extension Workers-led club-based intervention primarily focuses on equipping individuals with the necessary knowledge and skills to enhance their self-management behavior. The intervention encompasses education on adopting healthy eating habits, promoting regular exercise, effectively managing weight, and supporting smoking cessation. It emphasizes the importance of regular blood sugar level monitoring, limiting alcohol intake, and reducing sedentary behavior. The intervention also includes counseling to provide guidance and support in adopting and maintaining healthy behaviors. Additionally, it highlights the significance of adhering to medication regimens for optimal health outcomes. If additional medical attention is required, the intervention provides referral services to nearby health facilities.

06

What researchers measure

Primary outcomes

  1. Mean and proportion of diabetic self-management behavior

    The proportion of self-management behaviors will be determined using the Diabetes Self-Care Activity Summary tool. Participants will be requested to report the frequency of these specific behaviors per week using an eight-point Likert scale, ranging from 0 to 7 days. The responses obtained through this scale will be utilized to compute an overall score, with higher average scores indicating greater adherence to self-management behaviors and practices. The study will compare the mean change in self-management behaviors at six months from baseline among the different groups.

    Time frame: measured at six months

  2. Mean and proportion increase in glycemic control

    Fasting blood sugar (FBS) and Glycosylated hemoglobin (HbA1C) are widely utilized measures to assess glycemic control. The baseline FBS analysis involves calculating the mean of FBS measurements taken over three consecutive months. During the follow-up period, the analysis is conducted using the mean values of FBS measurements taken over six consecutive months. According to the guideline recommendations of the American Diabetes Association (ADA), glycemic status is considered good if the mean FBS falls between 80 and 130 mg/dL. Glycosylated hemoglobin (HbA1C) levels will be assessed at two time points: three months during follow up and six months after the intervention. The optimal range for glycosylated hemoglobin (HbA1C) levels for individuals with diabetes is below 7% (53 mmol/mol).

    Time frame: measured at three and six months

Secondary outcomes

  1. Acceptability of a community-based club intervention led by Health Extension Workers

    Acceptability, in this context, refers to the extent to which the intervention is perceived as appropriate, suitable, and desirable by the participating individuals. It assesses the community's willingness to actively engage with and adhere to the intervention, as well as their satisfaction and comfort with the intervention activities and delivery methods. To measure acceptability, participants will be asked to indicate their agreement with a series of statements related to the intervention using a five-point Likert scale, ranging from 1 to 5. The responses obtained through this scale will be utilized to compute an overall score, with higher average scores indicating greater acceptance level. Open-ended questions will also be included to gather participants' perspectives on the intervention content, their experiences with the HEW-led club intervention, and any suggestions for improvement.

    Time frame: measured at six months

07

Study locations

1 site
  • Debre Berhan University and North Shoa Zone Health Department
    Debre Birhan, Amhara 251, Ethiopia
08

References and documents

Publications

  • MoH., Realizing Universal Health Coverage through Primary Health Care: A Roadmap for Optimizing the Ethiopian Health Extension Program 2020 - 2035. Addis Ababa, Ethiopia: Ministry of Health, 2020. 2020.
  • Bishu K.G, et al., Diabetes in Ethiopia: A systematic review of prevalence, risk factors, complications, and cost. Obesity Medicine, 2019. 15: p. 100132:https://doi.org/10.1016/j.obmed.2019.100132.
  • Zeru MA, Tesfa E, Mitiku AA, Seyoum A, Bokoro TA. Prevalence and risk factors of type-2 diabetes mellitus in Ethiopia: systematic review and meta-analysis. Sci Rep. 2021 Nov 5;11(1):21733. doi: 10.1038/s41598-021-01256-9. PubMed 34741064 ↗
  • Mulugeta TK, Kassa DH. Readiness of the primary health care units and associated factors for the management of hypertension and type II diabetes mellitus in Sidama, Ethiopia. PeerJ. 2022 Aug 25;10:e13797. doi: 10.7717/peerj.13797. eCollection 2022. PubMed 36042860 ↗
  • Tesema AG, Peiris D, Abimbola S, Ajisegiri WS, Narasimhan P, Mulugeta A, Joshi R. Community health extension workers' training and supervision in Ethiopia: Exploring impact and implementation challenges for non-communicable disease service delivery. PLOS Glob Public Health. 2022 Nov 9;2(11):e0001160. doi: 10.1371/journal.pgph.0001160. eCollection 2022. PubMed 36962619 ↗
  • American Diabetes Association. Standards of Medical Care in Diabetes-2021 Abridged for Primary Care Providers. Clin Diabetes. 2021 Jan;39(1):14-43. doi: 10.2337/cd21-as01. No abstract available. PubMed 33551551 ↗
  • Dagnew B, Debalkie Demissie G, Abebaw Angaw D. Systematic Review and Meta-Analysis of Good Self-Care Practice among People Living with Type 2 Diabetes Mellitus in Ethiopia: A National Call to Bolster Lifestyle Changes. Evid Based Complement Alternat Med. 2021 Feb 20;2021:8896896. doi: 10.1155/2021/8896896. eCollection 2021. PubMed 33688368 ↗
  • Ansari R M, et al., Implementation of Chronic Care Model for Diabetes Self-Management: A Quantitative Analysis. Diabetology, 2022. 3(3): p. 407-422.
  • Ketema DB, Leshargie CT, Kibret GD, Assemie MA, Alamneh AA, Kassa GM, Alebel A. Level of self-care practice among diabetic patients in Ethiopia: a systematic review and meta-analysis. BMC Public Health. 2020 Mar 12;20(1):309. doi: 10.1186/s12889-020-8425-2. PubMed 32164638 ↗
  • FDREMoH, National Strategic Plan for the Prevention And Control Of Major Non-Communicable Diseases, 2013-2017(2020/21-2024/25), Addis Ababa Ethiopia; July 2020. 2020.

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Feb 2024 (actual). Primary completion is estimated for Feb 2025, 12 months after the start.

Of 1,583 non-industry interventional studies with no phase under Diabetes Mellitus, half reached primary completion within 23 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 43. This study's planned 12 months is below that.

Counting every sponsor, half of 1,743 studies reached it within 21 months; a quarter within 9 and three quarters within 42.

How these figures are worked out, and which studies are left out of them.

Registered
Dec 7, 2023
First posted
Jan 3, 2024
StartActual
Feb 1, 2024
Primary completionEst.
Feb 1, 2025
CompletionEst.
Feb 1, 2025
Last update
Aug 9, 2024
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 9, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06189417
Lead sponsor
Debre Berhan University
Collaborators
University of South Africa
Responsible party
Akine Eshete (Principal Investigator, Debre Berhan University) — Principal investigator
First posted
Jan 3, 2024
Start date
Feb 1, 2024
Primary completion
Feb 1, 2025 (estimated)
Completion
Feb 1, 2025 (estimated)
Last update
Aug 9, 2024

Study contacts

Akine E Abosetugn, MPH
principal investigator · Debre Berhan University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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