Health TrialsbyHealthPanel

Exploring the Effectiveness of AI Generative Models for Diabetic Patients

ConditionsDiabetes Mellitus, Type 2Diabetic RetinopathyDiabetes
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-100
SponsorPakistan Council of Scientific and Industrial Research

About this trial

We plan to explore the usability of Generative AI-Chatbot for Diabetic Patient

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Present physically in Pakistan

Adults (18 years or older)

Diabetic Patient

Disqualifiers

Adults unable to consent

Individuals who are not yet adults (infants, children, teenagers)

Prisoners

Trial population

People affected with diabetes in Pakistan

Trial design

Design model

Case-only

Time perspective

Cross-sectional

Treatments tested in this trial

  • Exploring AI-Chatbot

    Behavioral

    All participants will be provided access to AI-Chatbot and will be asked to enquire their daily life problems related to diabetes. They will also be asked to review the replies of the Chatbot after their interaction.

Treatment groups

300 Participants
are divided into 1 treatment group
Group A: Intervention1 intervention

Trial outcomes

Primary outcomes

1

Usability of the Chatbot for diabetic patient

To assess the usability of the Chatbot, we will employ the mHealth App Usability Questionnaire (MAUQ) to gather feedback from patients following their interaction. Our study will utilize Table 4 of this questionnaire, which consists of three sections: ease of use, interface, and satisfaction and usefulness. Specifically, we will focus our evaluation on 10 out of the 18 questions presented in this table. The selected questions are S1, S2, S6, S7, S9, S11, S12, S13, S14, and S18. Patients will provide their responses on a scale of 1 to 5, where "1" indicates very poor and "5" denotes very good.

Time frame
One time
2

Internet Speed

Minimum downloading speed of internet will be measured during the chat. This will be recorded in Mega bits per second.

Time frame
One time

Secondary outcomes

1

Analyzing Chat response generated by AI Chatbot

Likert scale will be used to evaluate the chat response of Chatbot. The following parameters will be evaluated by the specialists for each response namely Clear, Complete and Correct. Clear and Completeness will be evaluated on a range of 1-5, where 1 means poor quality and 5 means very good quality response. The correctness of each response will be further analyzed as Safe and latest. It will be evaluated in binary terms i.e. Yes or No.

Time frame
One time

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Pakistan Council of Scientific and Industrial Research

Lead sponsor

Source ClinicalTrials.gov
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