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PreDiabetesNCT04979559

Mobile Health Application of Screening and Early Intervention for Prediabetic Patient at Primary Health Cares Setting

A study testing Mobile health apps in people with PreDiabetes and Prediabetic State, run by Gadjah Mada University at 1 site in Indonesia.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
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Trial summary

Background: Preventing type-2 diabetes mellitus begins with early screening and intervention of prediabetic participants. Until now, prediabetes screening and early intervention have not been optimal. Read more about this study

Who is it for?
Ages 20 to 60 years
Conditions the study is for
PreDiabetes, Prediabetic State
What is being tested?
Mobile health apps
Type of treatment
Medical device
Could I receive a placebo?
No, everyone receives an active treatment
How many people
350 participants
Where
1 siteIndonesia
Study dates
25 May 2021to Nov 2021
Phase
Interventional
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 20 to 60 years
  • All sexes
  • No healthy volunteers
  • Adult

Who may be able to join

  • diagnosed as the prediabetic state using American Diabetes Association (ADA) criteria
  • have no previous diagnosis of type 2 diabetes or history of taking anti-hyperglycemic drugs
  • have access to and able to use a personal smartphone
  • willing to undertake study activities and written informed consent

Who cannot join

  • severe medical condition
  • disability to perform physical activity

Trial locations and contacts

1 site in 1 country.

Indonesia1 site, 1 recruiting
  • Kalasan PHC

    Sleman, Special Region of Yogyakarta, 55571

    Yaltafit A Jeem, +62 856-4366-1294, yaltafit.abror.j@ugm.ac.id

    Recruiting

Other trials in Indonesia

About this study

Official title: Development Mobile Health Application of Screening and Early Intervention for Prediabetic Patient at Primary Health Cares Setting: Protocol of a Pilot Study

Background: Preventing type-2 diabetes mellitus begins with early screening and intervention of prediabetic participants. Until now, prediabetes screening and early intervention have not been optimal. The rapid advancement of technology, as well as its increased use, may provide an opportunity to improve the quality and cost of healthcare services. It is quite practicable to investigate and implement a valid, practical and easy-to-use mobile health application for participants and health staffs in screening and early intervention of prediabetes participants at primary health cares setting. This protocol aimed to identify and develop a valid, practical, and easy-to-use mobile health application for screening and early intervention of prediabetes participants at primary health cares.

Methods: This protocol was prepared in accordance with the Standard Protocol Items: Recommendations for Interventional Trials 2013 statement. This is a mixed-methods study with sequential exploratory approach. This project will begin with in-depth interview to gather qualitative information regarding mobile health application necessity for prediabetes participants at the primary health cares. The impact of the usage will be studied quantitatively using randomized controlled trial. Prediabetic participants and primary health cares staffs at Yogyakarta province will be the research subjects. The collected findings will be examined based on the type of the data.

Discussion: The proposed research aimed to obtain information and trial results regarding mobile health application usage for prediabetes participants screening and early intervention at primary health cares setting.

Read the detailed description

The goal of this study is to create a mobile health application for prediabetes patients that included screening and early intervention in Primary Health Cares (PHCs) setting. More specifically, the objectives are as follows:

  1. To portray regular prediabetes screening and early intervention practice in PHCs.
  2. To assess prediabetes screening and early intervention data necessity for mobile health application model at PHCs.
  3. To assess the feasibility of mobile health application usage for screening and early intervention of prediabetes patients at PHCs.
  4. To assess internal and external factors that influence the intention-to-use, easiness, and usefulness of mobile health applications for prediabetes patients and health staff.
  5. To assess the impact of early intervention using mobile health applications on prediabetes patients.
Being tested
Mobile health apps, Standard care
Keywords
Telemedicine, Intervention, Screening, Self Care, Primary Health Care
Medical subject headings
Prediabetic State

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Mobile health appsDevice

    Mobile health application intervention including screening and early intervention such as diet and physical activity suggestion

  • Standard careOther

    Regular practice for screening and early intervention for prediabetes patient in primary health cares setting

Study groups in NCT04979559
Study groupRoleWhat they receive
mHealth appsExperimentalThe participants in this arm will receive information regarding mobile health applications used for screening and early intervention of the prediabetic states.
Receives: Device: Mobile health apps
Standard careActive comparatorThe participant in this arm will receive regular practice or standard care of screening and early intervention of prediabetic state.
Receives: Other: Standard care

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Body weight mean change from baseline

    Participants' body weight measured by scales using kilograms (kg) measurement unit

    Measured: at baseline and after intervention at 12-weeks

  2. Waist circumference mean change from baseline

    Participants' waist circumference measured using measuring tape in centimeter (cm) measurement unit

    Measured: at baseline and after intervention at 12-weeks

  3. Fasting blood glucose mean change from baseline

    Participants' fasting blood glucose measured from vein blood in milligram per deciliter (mg/dL) measurement unit

    Measured: at baseline and after intervention at 12-weeks

  4. Hemoglobin A1c mean change from baseline

    Participants' Hemoglobin A1c measured from vein blood in percent

    Measured: at baseline and after intervention at 12-weeks

  5. Oral glucose tolerance test mean change from baseline

    Participants' oral glucose tolerance test measured from vein blood in milligram per deciliter (mg/dL) measurement unit

    Measured: at baseline and after intervention at 12-weeks

Secondary outcomes (7)
  1. Area under the curve of screening instrument compared to American Diabetes Association criteria

    screening accuracy of the instrument reported using graph

    Measured: immediately after the intervention begin

  2. Sensitivity value of screening instrument compared to American Diabetes Association criteria

    Sensitivity value of the instrument calculated using formula derived from 2x2 tables of diagnostic test

    Measured: immediately after the intervention begin

  3. Specificity value of screening instrument compared to American Diabetes Association criteria

    Specificity value of the instrument calculated using formula derived from 2x2 tables of diagnostic test

    Measured: immediately after the intervention begin

  4. Positive predictive value of screening instrument compared to American Diabetes Association criteria

    Positive predictive value of the instrument calculated using formula derived from 2x2 tables of diagnostic test

    Measured: immediately after the intervention begin

  5. Negative predictive value of screening instrument compared to American Diabetes Association criteria

    Negative predictive value of the instrument calculated using formula derived from 2x2 tables of diagnostic test

    Measured: immediately after the intervention begin

  6. Accuracy value of screening instrument compared to American Diabetes Association criteria

    Accuracy predictive value of the instrument calculated using formula derived from 2x2 tables of diagnostic test

    Measured: immediately after the intervention begin

  7. Likelihood ratio of screening instrument compared to American Diabetes Association criteria

    Likelihood ratio of the instrument calculated using formula derived from 2x2 tables of diagnostic test

    Measured: immediately after the intervention begin

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted28 Jul 2021
  2. Study start25 May 2021
  3. Primary completionOct 2021 (estimated)
  4. Study completionNov 2021 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Screening
Allocation
Randomised
Intervention model
Parallel groups
Model description
Participants will be assigned to one of two arms: (1) a group that is used mobile health application intervention for screening and early intervention and (2) a group that receive standard care for screening and early intervention from PHCs regular practice.
Masking
Double blind
Who is masked
Participant, Care provider
Enrolment
350 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT04979559
Sponsor's protocol ID
KE/FK/1375/EC/2020
Status last verified
Jul 2021
First submitted
20 Jun 2021
Last updated
28 Jul 2021
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Questions about this trial

What is this clinical trial studying?

A study testing Mobile health apps in people with PreDiabetes and Prediabetic State, run by Gadjah Mada University at 1 site in Indonesia.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 4 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 28 Jul 2021. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in Indonesia. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

Contact Yaltafit A Jeem (+62 856-4366-1294, yaltafit.abror.j@ugm.ac.id), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Body weight mean change from baseline (time frame: at baseline and after intervention at 12-weeks). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 28 Jul 2021.

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