Patient Event Sequencing: Single Site, Exploratory, Cross-Sectional Analysis


dc.contributorPatient-Centered Outcomes Research Institute
dc.contributor.authorPEDSnet Data Coordinating Center
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2025-01-14T15:48:06Z
dc.date.created2024-12-17
dc.description.abstractThe Patient Event Sequencing module computes the days between two user-specified events and summarizes the distribution within the cohort. It assesses the plausibility of the sequence of two user-provided clinical events as they appear in a patient's record. This allows the user to ensure that the two events, like a cancer diagnosis and chemotherapy, occur in a sensible order and within an expected length of time.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/954
dc.identifier.urihttps://doi.org/10.24373/pdsp-409
dc.publisherPEDSnet
dc.relation.urihttps://github.com/ssdqa/patienteventsequencing
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.subjectCross-Sectional Analysis
dc.titlePatient Event Sequencing: Single Site, Exploratory, Cross-Sectional Analysis
dspace.entity.typeDQCheck
local.code.package# install.packages("devtools") devtools::install_github('ssdqa/patienteventsequencing')
local.description.rawThis check produces a raw data output containing 8 columns of data: <br> |Column |Data Type|Definition | |----------------|---------|----------------------------------------------------------------------------------------------------------------------------| |`site` |character|the name of the site being targeted OR ""combined"" if multiple sites were provided | |`num_days` |numeric |the number of days between event A and event B, using the date of event A as the index | |`user_cutoff` |numeric |the user provided threshold for days between the events | |`event_a_name` |character|the name of event A | |`event_b_name` |character|the name of event B | |`pt_ct` |numeric |the number of patients with num_days between the two events | |`total_pts` |numeric |the total number of patients in the cohort | |`pts_without_both`|numeric |the number of patients that are missing one of or both of the events, which prevents a date differential from being computed| {.dqcheck-table}
local.description.vizThis check outputs two graphs: 1. A histogram displaying the distribution of days between events for the cohort, with a single bar graph (patchworked together with the histogram) displaying the proportion of patients who did not have Event B at all. The binsize (bar width) is automatically determined by the geom_histogram function. 2. A bar graph displaying the proportion of patients whose time between events falls within each threshold window: 30, 60, 90, and 365 days, plus a user provided threshold. These are NOT currently mutually exclusive, meaning the year bar also contains patients from all the other bars.
local.dqcheck.categoryPlausibility
local.dqcheck.clinicalprobeClinical Follow-Up
local.dqcheck.clinicalprobeUtilization Patterns
local.dqcheck.measurementTime Between Events
local.dqcheck.probeSelection Error or Bias
local.dqcheck.probeTemporality Consistency Check
local.dqcheck.requirementcohort
local.dqcheck.requirementn_event_a
local.dqcheck.requirementn_event_b
local.dqcheck.requirementpes_event_file
local.dqcheck.requirementomop_or_pcornet
local.dqcheck.requirementmulti_or_single_site
local.dqcheck.requirementanomaly_or_exploratory
local.dqcheck.requirementage_groups
local.dqcheck.requirementpatient_level_tbl
local.dqcheck.requirementp_value
local.dqcheck.requirementtime
local.dqcheck.typeCohort Fitness
local.dqcheck.vizBar Graph
local.dqcheck.vizHistogram
relation.isCodeOfDQCheck929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isCodeOfDQCheck.latestForDiscovery929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isDQResultOfDQCheck1e0d0440-676a-4321-aa51-56d332cdbc34
relation.isDQResultOfDQCheckb9aae2be-4e79-47ce-bd94-2cedc8b29cbf
relation.isDQResultOfDQCheckeb372317-1601-48e6-9c93-e73df423b63b
relation.isDQResultOfDQCheck.latestForDiscovery1e0d0440-676a-4321-aa51-56d332cdbc34

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