Patient-Facts: Single Site, Exploratory, Longitudinal Analysis


dc.contributorPatient-Centered Outcomes Research Institute
dc.contributor.authorPEDSnet Data Coordinating Center
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2024-07-30T19:37:10Z
dc.date.created2024-06-05
dc.description.abstractThis check assesses how much clinical data is available for patients accross time. It provides a high level summary of clinical data for a single site. The number of clinical events per year of follow-up for each patient in a cohort is computed and stratified by visit type.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/742
dc.identifier.urihttps://doi.org/10.24373/pdsp-420
dc.publisherPEDSnet
dc.relation.urihttps://github.com/ssdqa/patientfacts
dc.rightsa CC-BY Attribution 4.0 License.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0
dc.subjectSingle Site Analysis
dc.subjectExploratory Analysis
dc.subjectLongitudinal Analysis
dc.subjectPerson-Level Analysis
dc.titlePatient-Facts: Single Site, Exploratory, Longitudinal Analysis
dspace.entity.typeDQCheck
local.code.package# install.packages("devtools") devtools::install_github('ssdqa/https://github.com/ssdqa/patientfacts')
local.description.rawThe raw data output of this check produces ten columns of data: <br> | Column | Data Type | Definition | |----------------|-----------|--------------------------------------------------------------------------------------| |`visit_type` | character | string indicating the visit type | |`site` | character | the name of the site being targeted OR "combined" if multiple sites were provided | |`time_start` | date | the start of the time period being examined | |`time_increment` | character | the length of each time period | |`domain` | character | string indicating the domain | |`pts_w_fact` | numeric | the number of patients who have a fact within the time period | |`sum_fact_ct` | numeric | the total number of facts per patient within the time period | |`median_fact_ct` | numeric | the median number of facts per patient within the time period | |`pt_ct_denom` | numeric | the total number of eligible patients from the cohort within the time period | |`pts_w_visit` | numeric | the number of patients with a visit of the type of interest within the time period | {.dqcheck-table}
local.description.vizThis check outputs faceted line and dot plots. It shows the median fact count for each domain and how it changes across the user-provided time period. Median fact count is shown on the y-axis, and time (in years) is shown by the x-axis. Each line represents a domain. Hovering over the graph provides additional information about each data point including time_start, domain, and median_fact_ct (the median number of facts for each domain during the specified time period). The user determines the facets used such as site, age category, etc.
local.dqcheck.categoryCompleteness
local.dqcheck.clinicalprobeClinical Follow-Up
local.dqcheck.clinicalprobeUtilization Patterns
local.dqcheck.measurementTime Series Exploration
local.dqcheck.probeInformation Density
local.dqcheck.probeTemporality Consistency Check
local.dqcheck.probeMissing Expected Data
local.dqcheck.requirementcohort
local.dqcheck.requirementstudy_name
local.dqcheck.requirementpatient_level_tbl
local.dqcheck.requirementvisit_types
local.dqcheck.requirementomop_or_pcornet
local.dqcheck.requirementmulti_or_single_site
local.dqcheck.requirementtime
local.dqcheck.requirementtime_span
local.dqcheck.requirementtime_period
local.dqcheck.requirementp_value
local.dqcheck.requirementage_groups
local.dqcheck.requirementanomaly_or_exploratory
local.dqcheck.requirementdomain_tbl
local.dqcheck.requirementvisit_type_table
local.dqcheck.typeCohort Fitness
local.dqcheck.vizLine Graph
relation.isCodeOfDQCheck929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isCodeOfDQCheck.latestForDiscovery929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isDQResultOfDQChecked772932-bc3c-48c7-a6d9-b6ed09bd428b
relation.isDQResultOfDQCheck.latestForDiscoveryed772932-bc3c-48c7-a6d9-b6ed09bd428b

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