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


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dc.contributorPatient-Centered Outcomes Research Institute
dc.contributor.authorPEDSnet Data Coordinating Center
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2025-01-14T15:48:02Z
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/20.500.14642/951
dc.identifier.urihttps://doi.org/10.24373/pdsp-413
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.subjectMulti-Site Analysis
dc.subjectExploratory Analysis
dc.subjectCross-Sectional Analysis
dc.subjectPerson-Level Analysis
dc.titlePatient Event Sequencing: Multi 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 | |`num_day` |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 a bar graph for each site showing the proportion of patients whose time between events falls within each threshold window. The dotted line represents the median proportion for each window.
local.dqcheck.categoryPlausibility
local.dqcheck.clinicalprobeClinical Follow-Up
local.dqcheck.clinicalprobeUtilization Patterns
local.dqcheck.measurementTime Series Exploration
local.dqcheck.probeSelection Error or Bias
local.dqcheck.probeTemporality Consistency Check
local.dqcheck.probeExternal Benchmarking
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.vizLine Graph
relation.isCodeOfDQCheck929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isCodeOfDQCheck.latestForDiscovery929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isDQResultOfDQCheck28308b03-badc-4ff6-a91c-d41e03cc47e1
relation.isDQResultOfDQCheck642c1062-85b8-46c5-b203-80d30e60b4eb
relation.isDQResultOfDQCheckc25df40f-05b7-4239-b166-4033b58d4cfa
relation.isDQResultOfDQCheck.latestForDiscovery28308b03-badc-4ff6-a91c-d41e03cc47e1

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Patient Event Sequencing