Chapter 18. Module 18. DFcollect Mobile Data Collection

Table of Contents

18.1. Introduction
18.2. Tests & Requirements
18.3. Begin Module 18. DFcollect Mobile Data Collection.
18.4. Installation, App preferences and initial DFcollect login.
18.5. Online data record creation.
18.6. Download subject data for offline use.
18.7. Create data records in offline mode, query resolution and adding reasons for data values.
18.8. Sync data collected offline to your DFdiscover server.
18.9. Clearing DFcollect cache.
18.10. Adding, reviewing and downloading subject documents.
18.11. Confirming data sent to the server using DFexplore.
18.12. End Module 18. DFcollect.

18.1. Introduction

[Warning]Warning

Optional Module.  The DFweb Data Entry module requires the DFWS feature (web services API). If your DFdiscover server is not licensed for this feature, do not complete this module.

DFcollect is compatible with the following mobile device operating systems:

  • iOS®

  • Android

18.2. Tests & Requirements

  1. Installation, App preferences and initial DFcollect login.

  2. Online data record creation.

  3. Download subject data for offline use.

  4. Create data records in offline mode, query resolution and adding reasons for data values.

  5. Sync data collected offline to your DFdiscover server.

  6. Clearing DFcollect cache.

  7. Adding, reviewing and downloading subject documents.

  8. Confirming data sent to the server using DFexplore.

Estimate of Time Required: 20 Minutes

18.3. Begin Module 18. DFcollect Mobile Data Collection.

  1. Start DFATK as described in Module 1 (Installation & Initialization).

  2. Click 18. DFcollect followed by Begin to begin this module.

18.4. Installation, App preferences and initial DFcollect login.

  1. Download and install DFcollect from Google Play or Apple® App Store® to your mobile device or tablet.

  2. Open DFcollect.

  3. Click > Preferences. Set:

    System Setting

    • API Server = your API servername

    • Offline Only = Disabled (greyed out)

    Click Close to apply settings.

  4. Click > About DFcollect to display version information. Click Close to return to the DFcollect login screen.

  5. In the DFcollect login dialog, enter the name for DFdiscover Server that has been provided by your administrator. Enter site_monitor in the Username field and the previously assigned password in the Password field. Click Login to login.

  6. From the list of available studies, click 254 Acceptance Test Study.

  7. Click 99: Hospital #99 to display a list of available subjects.

  8. Click > Study Help to view any study related help messages. Click OK to close the Study Help window.

  9. Click to search for a subject ID number, enter 99010. Click , subject 99010 : (Final) gains the focus.

18.5. Online data record creation.

  1. Click subject 99010 : (Final) to view the list of study visits.

  2. Click 1: Baseline > 2: Form 2. Plate Form 2 becomes the active page.

  3. Click Patient Initials. The initials automatically populate this field as a result of the edit check SetInit described in Module 8. Image Data Entry. Set:

    • Entry Date = Click , select 14/11/18.

    • Medication Code # = 2524

    • Date of Birth = Click , select 11/05/69.

    Click .

  4. Click > > 99009 : (Incomplete) > 21: 1 Month Follow-up > 5: Form 5, 1 Month.

  5. Click Patient Initials. The initials automatically populate this field as a result of the edit check SetInit described in Module 8. Image Data Entry. Set:

    • Visit Date = Click , select 14/11/18.

    Click .

18.6. Download subject data for offline use.

  1. Click > Storage & Syncing.

  2. Click to show the subject listing for 99: Hospital #99.

  3. Check (enable) subjects 99008: 0 visits, 99009: 0 visits and 99010: 0 visits.

  4. Click to download the subjects. After completion, click OK to dismiss the Download Progress: Documents window. Upon successful download there is an icon showing the date and time the download was performed.

  5. Click > Logout to logout of DFcollect.

18.7. Create data records in offline mode, query resolution and adding reasons for data values.

  1. Click > Preferences > Offline Only toggle button to enable Offline Only mode (becomes green). Click Close.

  2. In the DFcollect login dialog, enter the name for DFdiscover Server that has been provided by your administrator. Enter site_monitor in the Username field and the previously assigned password in the Password field. Click Login to login.

  3. Click 99: Hospital #99 > 99009 : (incomplete) > 21: 1 Month Follow-up > 5: Monthly Follow-up Form. Set:

    • Blood Pressure: Reading 1: systolic = 142, diastolic = 097

    • Blood Pressure: Reading 2: systolic = 134, diastolic = 091

    • Blood Pressure: Arm = Right

    • Weight (lbs) = Click , select Missing Value from the Code drop-down list. Click Apply. Click Cancel in the resulting Add Query dialog.

    Click .

  4. Click > 21: Lab Results.

  5. Click Patient Initials. The initials automatically populate this field as a result of the edit check SetInit described in Module 8. Image Data Entry, Set:

    • Collection Date = Click , select 11-NOV-2018.

    • White Blood Cell = 07.8, check (enable) NORMAL

    • Red Blood Cell = 02.9 check (enable) NORMAL

    • Hemoglobin = 06.5, check (enable) ABNORMAL

    • Mean Cell Hemoglobin Conc = 14.1, check (enable) NORMAL

    Click .

  6. Click > 1: Baseline > 2: Patient Entry Form.

  7. Click next to the Pulse field. In the Reason field specify Value of 95 for pulse is confirmed.. Click Apply > .

  8. Click > > 99008 : (Final) > 1: Baseline > 2: Patient Entry Form. In the Date of First Study Follow-up field click , select 14/11/18.

  9. Click . In the Reason field specify Subject has to reschedule due to conflict. Click Apply > .

  10. Click > > 99009 : (Incomplete) > 0: Screening Visits > 1: Blood Pressure Screening Visits.

  11. Correct Age (years) from 44 to 68. Click > , select Resolved from the Status drop-down list. Click Apply > Close.

  12. Click Race. Select african american, the query box changes from outstanding to resolved. Click .

  13. Click > > 99010 : (Incomplete) > 1: Baseline > 2: Patient Entry Form. Set:

    • Weight (lbs) = 267, click OK in the resulting dialog.

    • Height (in) = 072.8

    • Pulse = click , select Missing Value from the Code drop-down list.

    • Smoking Status = Never smoked

    • Date of First Study Follow-up = Click , select 05/12/18.

    Click .

    [Note]Note

    The Weight (kgs) and Height (cm) fields are auto-populated as a result of edit checks.

  14. Click > Logout, to logout of DFcollect.

18.8. Sync data collected offline to your DFdiscover server.

  1. Click > Preferences > Offline Only toggle button to disable the Offline Only mode (becomes greyed out). Click Close.

  2. In the DFcollect login dialog, enter the name for DFdiscover Server that has been provided by your administrator. Enter site_monitor in the Username field and the previously assigned password in the Password field. Click Login to login.

  3. Upon logging into DFcollect, the icon is displayed next to 99: Hospital #99 indicating there are cached changes in DFcollect that have not been saved to the database.

  4. Click > Storage & Syncing.

  5. Click to expand list of subjects. Check (enable) subjects 99008: 2 Visits, 99009: 3 visits and 99010: 2 visits.

  6. Click to upload the previously entered subject data. When the upload is complete, click OK to dismiss the Upload Progress window. The icon shows the date and time of successful upload.

18.9. Clearing DFcollect cache.

  1. Check (enable) subjects 99008: 2 visits , 99009:3 visits and 99010:2 visits.

  2. Click then Apply within the Delete Records from Storage dialog. The icon showing the date and time are cleared.

18.10. Adding, reviewing and downloading subject documents.

  1. Click > > 99008 : (Final) > 1: Baseline > 21: Lab Results.

  2. Click to view the attached documents.

  3. Click > Logout.

18.11. Confirming data sent to the server using DFexplore.

  1. Start DFexplore, login as data_manager and choose 254 Acceptance Test Study as described in Section 1.7, “How to start DFexplore.

  2. Select Site 99: Hospital #99 > subject 99009 > 0: Screening Visits > 1: Blood Pressure Screening Visits. Verify and review the data uploaded is correct.

    • Age (years) = 68 with a resolved corrected query.

    • Race = 2 (african american) with a resolved corrected query.

  3. Select File > Exit to close DFexplore.

18.12. End Module 18. DFcollect.

  • Return to the DFATK application. Click End to confirm successful completion of Module 18. DFcollect.