projecteverest

[Proposed Experiment]: Health Malawi - Research Protocol Stage 2

by
Sunny Wu
+1
Submitted by
Sunny Wu | 2 weeks ago | in Health Consulting

Lean Phase: Solution

Assumption:  40 – 60 patients can correctly and accurately identify their symptoms using USSD compared to what they verbalise to their clinician.

Time Frame: 2 weeks

Success Metric: 80% of data points correctly and accurately match symptom identification in both the USSD and verbally.

Green light: Proceed to research protocol stage 3

Orange light: If 70% of data points correctly and accurately match symptom identification in both the USSD and verbally then reassessing of user guide for the USSD system is required.

Red light: If less than 70% of data points correctly and accurately match symptom identification in both the USSD and verbally then reassessing of user guide for the USSD system and revising and training techniques to simplify use of system is required.

Experiment Build

In Stage 2 we are testing if the patient has the knowledge and capacity to communicate their symptoms indirectly to the doctor via phone technology. The patients will use an Unstructured Supplementary Service Data (USSD) system to input information about their symptoms and the duration of their symptoms, as prompted by specific questions in the technology.

The patients will be operating the USSD system on their own mobile device. Project Everest will incur the fee of operating this USSD system using Airtel’s Toll-Free service. Consent forms are integrated into the USSD, as well as instructions to use the system. A more detailed consent form and instructions to operate the USSD will also be physically available to the patients at the clinic.

We are looking for 40 to 60 data points to achieve sufficient analysis. An excel spreadsheet will integrate the results from both the clinicians surveys (which will be inputted manually by employees) and patients surveys (which will be inputted automatically). An algorithm will compare both sets of results for similarities. We are looking for a success metric of 80% based on a study within the New England Journal of Medicine on doctors/ patients abilities to communicate and identify symptoms. We will then compare this data to what was measured in terms of accuracy to identify symptoms through a paper survey in the first stage of the research protocol. This will allow the research team to understand whether patients can as effectively communicate their symptoms through technology as they can through a face to face survey.

Assuming patients are able to communicate their symptoms using a USSD platform, work on research protocol stage 3 can begin.

 

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