The code block below illustrates how one might use # and // as comments in your logic and calculations.

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The value entered is not a valid Vanderbilt Medical Record Number (i.e. 4- to 9-digit number, excluding leading zeros). Please try again.

The value you provided must be within the suggested range

The value you provided is outside the suggested range

This value is admissible, but you may wish to double check it.

The value entered must be a time value in the following format HH:MM within the range 00:00-23:59 (e.g., 04:32 or 23:19).

This field must be a 5 or 9 digit U.S. ZIP Code (like 94043). Please re-enter it now.

This field must be a 10 digit U.S. phone number (like 415 555 1212). Please re-enter it now.

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Required format:

xZbqPLtpHQzizjsf9myXbUbRoy8jZWiTfCUGoG2PJ6YstLibsTQwYHpFPqwV7i8nKsLRG547esi4aIQEH3wr

PI Consultation Form

Date/Time:

* must provide value

M-D-Y

First name of person requesting the mHealth consultation:

* must provide value

Last name of person requesting the mHealth consultation:

* must provide value

How many Principal Investigators are there?

* must provide value

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Contact PI (MPI1) First Name:

* must provide value

Contact PI (MPI1) Last Name:

* must provide value

Contact PI (MPI1) Title:

* must provide value

Contact PI (MPI1) E-mail:

* must provide value

Is the Contact PI (MPI1) employed by OUHSC?

* must provide value

Yes

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Is the Contact PI (MPI1) a Stephenson Cancer Center member?

* must provide value

Yes

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Is the Contact PI (MPI1) a HPRC faculty member?

* must provide value

Yes

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MPI1 Academic Affiliation/University:

* must provide value

MPI1 Academic Department:

* must provide value

MPI Physical Address:

* must provide value

City:

* must provide value

State:

* must provide value

Zip Code:

* must provide value

MPI2 First Name:

* must provide value

MPI2 Last Name:

* must provide value

MPI2 E-mail:

* must provide value

Is MPI2 employed by OUHSC?

* must provide value

Yes

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Is MPI2 a Stephenson Cancer Center member?

* must provide value

Yes

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Is MPI2 a HPRC faculty member?

* must provide value

Yes

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MPI2 Academic Affiliation/University:

* must provide value

MPI2 Academic Department:

* must provide value

MPI3 First Name:

* must provide value

MPI3 Last Name:

* must provide value

MPI3 E-mail:

* must provide value

Is MPI3 employed by OUHSC?

* must provide value

Yes

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Is MPI3 a Stephenson Cancer Center member?

* must provide value

Yes

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Is MPI3 a HPRC faculty member?

* must provide value

Yes

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MPI3 Academic Affiliation/University:

* must provide value

MPI3 Academic Department:

* must provide value

MPI4 First Name:

* must provide value

MPI4 Last Name:

* must provide value

MPI4 E-mail:

* must provide value

Is MPI4 employed by OUHSC?

* must provide value

Yes

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Is MPI4 a Stephenson Cancer Center member?

* must provide value

Yes

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Is MPI4 a HPRC faculty member?

* must provide value

Yes

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MPI4 Academic Affiliation/University:

* must provide value

MPI4 Academic Department:

* must provide value

Short Project Title:

* must provide value

Full Grant/Project Title:

* must provide value

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Will this study collect participant PHI via Insight?
(Any study that will use GreenPhire should mark 'Yes')

* must provide value

Yes

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Which types of PHI will be collected?
(check all that apply)

* must provide value

Name

Date of Birth

Address

GPS

Phone number

Pictures

Video/audio recordings

IP address

Other

What other type of PHI will be collected?

* must provide value

Anticipated Study Start Date:

* must provide value

M-D-Y

Anticipated Study End Date:

* must provide value

M-D-Y

Anticipated number of study participants:

* must provide value

Has funding for this study been secured?
(Answer 'Yes' if this study already has internal, external, or start-up funding)

* must provide value

Yes

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Do you have IRB approval?

* must provide value

Yes

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What is the IRB Number?

* must provide value

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Will you need a letter of support?

* must provide value

Yes

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Grant award number:
Please write "N/A" if funded via start up

* must provide value

Planned grant start date:

* must provide value

M-D-Y

Planned grant end date:

* must provide value

M-D-Y

Total project costs (Direct + Indirect; all project years):
Please do not use $ or commas.

* must provide value

Anticipated or actual funding source:
(check all that apply)

* must provide value

NIH

ACS (not IRG)

ACS IRG

HPRC Seed Grant

Faculty Start-Up Funds

Stephenson Cancer Center

Hamm Center

UHAT

OSCTR

PHF

OCAST

VA (Veterans Administration)

CRUK

TSET (specific line item)

FDA

DoD (Department of Defense)

Philanthropy

CPRIT

Pfizer

Dysautonomia International

Partners

UH (Univ. of Houston)

Medicaid Waiver

CFAR Adelante

Oklahoma State University

Administration for Children and Families

State of Pennsylvania

Norman VPRP COVID SEED grant

AMC

Other

Funding Source - Other:

* must provide value

What type of NIH grant application is this?

* must provide value

NCI

NIAAA

NIDA

NIMH

NIMHD

NHLBI

NIA

NIDDK

NINR

NIEHS

National Palliative Care Research Center

NIH Supplement

Other

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NIH grant type other:

* must provide value

NIH mechanism:

* must provide value

R01

R03

R21

R21/R33

R33

R34

R61/R33

F30

F31

F32

K01

K02

K08

K23

K99/R00

P01

P20

P30 Supplement

T32

U01

Other

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NIH mechanism other:

* must provide value

Type of mHealth Shared Resource Study:

* must provide value

EMA

JITAI

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Other mHealth Shared Resource Study Type:

* must provide value

Is the study being built by the study PI team or mHealth?

* must provide value

mHealth is building the study

Study PI's team is building this study

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I am planning to:

* must provide value

Use Insight as is

Use Insight after new features are developed

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Please describe what you will need developed in Insight.

* must provide value

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Study Focus (select all that apply):

* must provide value

Smoking

Alcohol

E-Cigarette

Marijuana

Case Management

Mental Health

Medication Adherence

Covid 19

Cancer Patient

Diabetes

Breast Feeding

International

Physical Activity

Obesity

Safe Sex

HIV

Homelessness

Cancer Screening

Sleep

Pain

Other drug (excluding smoking, alcohol, marijuana)

Other

Study Focus - Other:

* must provide value

Briefly describe the focus/aims of the proposed study.
(e.g., study topic, population, intervention(s), duration)

* must provide value

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What is the duration of data collection for each study participant?
(total number of days)

* must provide value

What types of assessments will be used in your study (check all that apply):

* must provide value

Daily diary

Random

Participant-initiated

Baseline/Follow-up

Sensor-initiated

GPS/Location-initiated

Other

Assessment Type - Other:

* must provide value

Describe your study population (e.g., women with incomes below the poverty line; Black adults who smoke and have anxiety).

* must provide value

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What languages will be used in your study?

* must provide value

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EMA Project Features

The following features are standard for the Ecological Momentary Assessment (EMA) tier of the Insight Platform.

Fixed: App will prompt this EMA type at a specific time of the day (e.g., 12:00pm).

Participant Offset: App will prompt this EMA type at times that are directly relevant to specific participants (e.g., 30 minutes after each participant's usual waking time).

Random: App will prompt this EMA type at random times within the participant's selected waking hours.

Participant Initiated: Participant will click a button on the app home screen to initiate this EMA type.

Automatic Reschedule: Enables the EMA to be automatically prompted again if the participant does not begin the EMA after a set period (e.g., reschedule the EMA every 15 minutes, up to 3 times until it is started).

Checkbox: Response choices are shown in a list; multiple answers can be chosen.

Date: Participants use a calendar to choose a date.

Dropdown: Participants click a box to select from a long list of potential answer responses.

Radio: Response choices are shown in a list; only 1 answer can be chosen.

Rich Text: A block of text that can be used to provide messages or instructions in the app; enables bold, italics, underline, bullets, etc.

Slider: Participants slide their finger from left to right to choose a continuous response (e.g., 1-10 visual analog scale).

Text Only: A block of text that can be used to provide messages or instructions in the app.

Text Field: Participant uses the keyboard to type a short answer (e.g., numbers or letters).

Text Area: Participant uses the keyboard to type longer responses than is possible with the text field option (e.g., sentences / paragraphs).

Time: Participants use a clock to choose a time.

Timer: Participants see a configurable countdown timer.

App Branding: Allows the study name to be displayed on the top of the app home screen.

App Language: App content (e.g., questions, messages) can be displayed in most languages.

Appointment Reminder: Configurable appointment date/time/message that appears on the app home screen. Coming soon

Assessment Resume: Enables participants to pick up where they left off in longer assessments. For example, longer Baseline or Follow-up assessments can be completed over multiple sittings/days if desired.

Payment Log: Enables participants to view the amount of credit they have earned for completing EMAs.

Permissions: Enables the Principal Investigator (PI) to assign specific EDC view/edit roles to project team members (e.g., PI has admin rights to create/edit all app components, research assistants could be granted specific roles like only view/create participants).

PHI Data Collection: Enables collection of Protected Health Information (e.g., name). Note: Requires additional contract components.

Skip Logic: Enables items to be skipped if established criteria are met (e.g., if question #1 > 4, then skip question #2).

Add/Clone Questions and EMAs: Enables researchers to rapidly clone questions and assessments.

Data Download: Enables researchers to create datasets in SPSS and Excel formats. SPSS downloads contain variable and value labels making analyses quick and easy.

Offline Functionality: Insight works offline after initial download. In other words, EMAs will prompt even when a participant's phone is in airplane mode.

Data Upload: Insight attempts to upload data to the server when participants interact with the app.

JITAI Project Features

The following features are standard for the Just-In-Time Adaptive Intervention (JITAI)/Sensor tier of the Insight Platform. JITAI features generally require greater data storage than EMA features. Therefore, fees for this tier are higher than the EMA tier.

Calculated Field: Enables researchers to create formulas by adding / subtracting / multiplying / etc. participant answers to EMA questions (e.g., question 1 + question 2). Also enables creation of intervention algorithms.

Email: An encrypted email is generated when an established criterion is met (e.g., if depression question > 3, then email a study team member that they should contact the participant. Note: This feature requires an active data plan or Wifi connection.

Single Message Bin: Enables delivery of one message when specific criteria are met. One message is delivered from the bin to the participant on each occasion. This feature allows researchers to keep their intervention content fresh/new, rather than repeating the same message multiple times.

Multiple Message Bin: Enables delivery of multiple messages on a specific topic. The participant can decide to review one message or many.

Random Number Generator: Generates a random number within a specified range and decimal precision. This item type can be used to re-randomize participants (e.g., SMART designs or micro-randomized trials (randomizing moments to receive intervention messages or not)).

Button List: Enables the creation of a single menu of features that can have specific functions (e.g., one click calls, websites, videos).

Sensor Log: Presents data from a sensor at specified intervals. For example, if steps are to be collected every 2 minutes the log will display number of steps every 2 minutes. Coming soon.

Web View: Enables the integration of webpages into Insight. When Insight is used to open a webpage, the platform can quantify the amount of time spent in the website. Note: This feature requires an active data plan or Wifi connection.

Video Link Bin: Enables delivery of unique video content when specific criteria are met (e.g., depression > 5). One video is delivered from the bin to the participant on each occasion.

YouTube Video: Links YouTube URLs to play video content in the app. Note: This feature requires an active data plan or Wifi connection.

One Click Call: Preprogrammed phone call is placed when this button is pressed. Note: This feature requires an active data plan or Wifi connection.

Delivery of Intervention Content: Video, audio, text, webpage, automated phone calls based upon formula, date/time, on-demand, or sensor data.

Breadcrumb Geolocation: Data collection (latitude, longitude, GPS accuracy). Frequency of collection is configurable. Note: This feature may not be available on all smartphones and this feature requires an active data plan or Wifi connection. Coming soon

Geofencing: Enables saving of specific important areas (e.g., places where a participant smokes cigarettes) and then uses these areas to initiate delivery of EMAs and/or JITAI content. Coming soon

Bedfont iCO Data Collection: Pairs with the Bedfont iCO device to collect carbon monoxide samples. Requires purchase of specific third-party devices. Coming soon

Facial Recognition: Enables researchers to verify a participant's identity. This feature can be used to ensure the participant is the person using the iCO device. Coming soon

GreenPhire Mastercard: Enables automated and manual payments to a participant's Greenphire MasterCard through the Insight mHealth platform. Coming soon

Summary Data: Enables researchers to display summary data to participants (e.g., line graph demonstrating how sleep is related to alcohol use). Coming soon

Image Picker: Enables participants to send pictures (e.g., tobacco advertisements, pre-cancerous moles) to the research team via the Insight dashboard.

What features will your study use?
Please see features table above if needed.

* must provide value

EMA Features Only

EMA and JITAI Features

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Have you used Insight before?

* must provide value

Yes

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Has your institution's IT department approved your project?

* must provide value

Yes

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What documentation will your IT department need?
(mHealth uses ENCRYPTED Microsoft Azure cloud services for data collection and storage. See rule of behavior for security and data flow).

* must provide value

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