Loading...

Login
Reset Password

NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

Warning Notice

This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the National Database for Autism Research (NDAR) web site to go to:

Click on the address above if the page does not change within 10 seconds.

Disclaimer

NDAR is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Selected Filters
No filters selected

The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

Description
Value Range
Notes
Data Structures with shared data
No filters have been selected
Switch User

Patient Satisfaction Index

patsat

01

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/projectpatid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired field
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age is rounded to chronological month. If the research participant is 15-days-old at time of interview, the appropriate value would be 0 months. If the participant is 16-days-old, the value would be 1 month.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
ptst_q1IntegerRecommendedSatisfied with provider care1::61=Agree Strongly; 6=Strongly Disagree
ptst_q2IntegerRecommendedCare received could be better1::61=Agree Strongly; 6=Strongly Disagree
ptst_q3IntegerRecommendedTime spent with provider adequate1::61=Agree Strongly; 6=Strongly Disagree
ptst_q4IntegerRecommendedNot as much contact as should have had1::61=Agree Strongly; 6=Strongly Disagree
ptst_q5IntegerRecommendedExplained reasons for examination1::61=Agree Strongly; 6=Strongly Disagree
ptst_q6IntegerRecommendedCould have listened more carefully1::61=Agree Strongly; 6=Strongly Disagree
ptst_q7IntegerRecommendedTreated me with utmost respect1::61=Agree Strongly; 6=Strongly Disagree
ptst_q8IntegerRecommendedCould have been kinder, more considerate1::61=Agree Strongly; 6=Strongly Disagree
ptst_q9IntegerRecommendedExtraordinary confidence in provider1::61=Agree Strongly; 6=Strongly Disagree
ptst_q10IntegerRecommendedHave some doubts about ability1::61=Agree Strongly; 6=Strongly Disagree
ptst_q11IntegerRecommendedCare relieves me of worry, uncertainty1::61=Agree Strongly; 6=Strongly Disagree
ptst_q12IntegerRecommendedMental health issues1::61=Agree Strongly; 6=Strongly Disagree
ptst_q13IntegerRecommendedSatisfaction1::61=Agree Strongly; 6=Strongly Disagree
ptst_totscoreIntegerRecommendedTotal PTST ScoreTotScore = ptst(Q1 + Q2 + Q3 + Q4 + Q5 + Q6 + Q7 + Q8 + Q9 + Q10 + Q11 + Q12 + Q13)
visitString50RecommendedVisit nameCharacter description of each type of visit
visitdayIntegerRecommendedday of visit
completedIntegerRecommendedChecks if completed0::20=No; 1=Yes; 2=Yes, lost
respondentString20RecommendedRespondent
Mother;Father;Both; Child; Other; Parent
respondent_other_specifyString50RecommendedRespondent: Other (specify)
studyString100RecommendedStudy
trtgroupString2RecommendedTreatment GroupN1;N2;R1;R2;R3N1=Non-Responder Entering Fluvoxamine; N2=Non-Responder Entering Fluoxetine; R1=Maintenance; R2=Responder Entering Fluvoxamine; R3=Responder Entering Fluoxetine
ptst_tiIntegerRecommendedCompared to how you felt at the very beginning of the study, how would you rate your improvement1::70 = Not assessed; 1 = Very much improved; 2 = Much improved; 3 = Minimally improved; 4 = No Change; 5 = Minimally worse; 6 = Much worse; 7 = Very much worse
ptst_drugIntegerRecommendedWhich study tablet do you think you received0::20 = Not assessed; 1 = Sulforaphane; 2 = Placebo
Data Structure

This page displays the data structure defined for the measure identified in the title and structure short name. The table below displays a list of data elements in this structure (also called variables) and the following information:

  • Element Name: This is the standard element name
  • Data Type: Which type of data this element is, e.g. String, Float, File location.
  • Size: If applicable, the character limit of this element
  • Required: This column displays whether the element is Required for valid submissions, Recommended for valid submissions, Conditional on other elements, or Optional
  • Description: A basic description
  • Value Range: Which values can appear validly in this element (case sensitive for strings)
  • Notes: Expanded description or notes on coding of values
  • Aliases: A list of currently supported Aliases (alternate element names)
  • For valid elements with shared data, on the far left is a Filter button you can use to view a summary of shared data for that element and apply a query filter to your Cart based on selected value ranges

At the top of this page you can also:

  • Use the search bar to filter the elements displayed. This will not filter on the Size of Required columns
  • Download a copy of this definition in CSV format
  • Download a blank CSV submission template prepopulated with the correct structure header rows ready to fill with subject records and upload

Please email the The NDA Help Desk with any questions.

Distribution for DataStructure: patsat01 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.