Patient Records Consistency: Multi Site, Exploratory, Longitudinal Analysis
| dc.contributor | Patient-Centered Outcomes Research Institute |
| dc.contributor.author | PEDSnet Data Coordinating Center |
| dc.contributor.author | Wieand, Kaleigh |
| dc.contributor.author | Bailey, Charles |
| dc.contributor.author | Razzaghi, Hanieh |
| dc.contributor.author | Dickinson, Kimberley |
| dc.contributor.other | PEDSnet Data Coordinating Center |
| dc.date.accessioned | 2025-01-08T16:06:33Z |
| dc.date.created | 2024-12-17 |
| dc.description.abstract | This check provides exploratory analyses across time to examine multiple sites. The Patient Record Consistency module, part of the larger SSDQA ecosystem, tests the consistency of clinical data representation within a patient's record. The goal is to ensure that the patient's information is confirmatory and complete, such that two events that are expected to co-exist do both occur within the same patient (i.e. a leukemia diagnosis and chemotherapy). |
| dc.identifier.uri | https://hdl.handle.net/20.500.14642/928 |
| dc.identifier.uri | https://doi.org/10.24373/pdsp-427 |
| dc.publisher | PEDSnet |
| dc.relation.uri | https://github.com/ssdqa/patientrecordconsistency |
| dc.rights | a CC-BY Attribution 4.0 License. |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0 |
| dc.subject | Multi-Site Analysis |
| dc.subject | Exploratory Analysis |
| dc.subject | Longitudinal Analysis |
| dc.subject | Person-Level Analysis |
| dc.title | Patient Records Consistency: Multi Site, Exploratory, Longitudinal Analysis |
| dspace.entity.type | DQCheck |
| local.code.package | # install.packages("devtools") devtools::install_github('ssdqa/patientrecordconsistency') |
| local.description.raw | This check produces a raw data output containing 9 columns of data: <br> |Column |Data Type|Definition | |----------------|---------|-------------------------------------------------------------------------------| |`site` |character|the name of the site being targeted | |`time_start` |date |the start of the time period being examined | |`time_increment`|character|the length of each time period | |`event_a_num` |numeric |the number of times event A occurred within the time period | |`event_a_name` |character|the name of event A | |`event_b_num` |numeric |the number of times event B occurred within the time period | |`event_b_name` |character|the name of event B | |`pt_ct` |numeric |the number of patients who had event_a_num and event_b_num of event occurrences| |`total_pts` |numeric |the total number of eligible patients in the cohort during the time period | {.dqcheck-table} |
| local.description.viz | This check outputs line graph showing how far each site falls from the mean proportion of patients for each event category across time. The dotted line at 0 represents the mean, and each colored line represents an individual site and its distance from that mean. The farther away the site line is from the dotted line, the farther away it is from the overall mean. |
| local.dqcheck.category | Concordance |
| local.dqcheck.category | Consistency |
| local.dqcheck.clinicalprobe | Confirmatory Clinical Data |
| local.dqcheck.clinicalprobe | Clinical Consistency |
| local.dqcheck.clinicalprobe | Expected Clinical Event Representation |
| local.dqcheck.measurement | Time Series Exploration |
| local.dqcheck.probe | Missing Expected Data |
| local.dqcheck.probe | External Benchmarking |
| local.dqcheck.probe | Misclassification Detection |
| local.dqcheck.probe | Temporality Consistency Check |
| local.dqcheck.requirement | cohort |
| local.dqcheck.requirement | prc_event_file |
| local.dqcheck.requirement | omop_or_pcornet |
| local.dqcheck.requirement | multi_or_single_site |
| local.dqcheck.requirement | anomaly_or_exploratory |
| local.dqcheck.requirement | age_groups |
| local.dqcheck.requirement | patient_level_tbl |
| local.dqcheck.requirement | fu_breaks |
| local.dqcheck.requirement | p_value |
| local.dqcheck.requirement | time |
| local.dqcheck.requirement | time_span |
| local.dqcheck.requirement | time_period |
| local.dqcheck.type | Cohort Fitness |
| local.dqcheck.viz | Line Graph |
| relation.isCodeOfDQCheck | 929c8dfc-2c8b-4e62-8e1d-0fa06c542832 |
| relation.isCodeOfDQCheck.latestForDiscovery | 929c8dfc-2c8b-4e62-8e1d-0fa06c542832 |