2024
Patient Characteristics and Practice Variation Associated With New Community Prescription of Benzodiazepine and z‐Drug Hypnotics After Critical Illness: A Retrospective Cohort Study Using the UK Clinical Practice Research Datalink
Mansi E, Rentsch C, Bourne R, Guthrie B, Lone N. Patient Characteristics and Practice Variation Associated With New Community Prescription of Benzodiazepine and z‐Drug Hypnotics After Critical Illness: A Retrospective Cohort Study Using the UK Clinical Practice Research Datalink. Pharmacoepidemiology And Drug Safety 2024, 33: e70056. PMID: 39603606, PMCID: PMC11602247, DOI: 10.1002/pds.70056.Peer-Reviewed Original ResearchConceptsCommunity prescriptionsZ-drugsIllness survivorsRetrospective cohort studyClinical Practice Research Datalink dataPractice variationUK Clinical Practice Research DatalinkClinical Practice Research DatalinkWorsening mental health conditionsCohort studyMultilevel multivariable logistic regressionSurvivors of critical illnessZ-drug prescribingCritical care survivorsPrimary care practicesCritical illnessMental health conditionsZ-drug prescriptionsCritical illness survivorsMultivariate logistic regressionPrescription opioid useCare practicesRisk of adverse eventsHealth conditionsHistory of insomnia
2020
Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index
King JT, Yoon JS, Rentsch CT, Tate JP, Park LS, Kidwai-Khan F, Skanderson M, Hauser RG, Jacobson DA, Erdos J, Cho K, Ramoni R, Gagnon DR, Justice AC. Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index. PLOS ONE 2020, 15: e0241825. PMID: 33175863, PMCID: PMC7657526, DOI: 10.1371/journal.pone.0241825.Peer-Reviewed Original ResearchConceptsCharlson Comorbidity IndexVeterans Health AdministrationVACO IndexValidation cohortMedical administrative dataDevelopment cohortSARS-CoV-2 testing resultsMortality indexICD-10 diagnosis codesUS Veterans Health AdministrationSARS-CoV-2 infectionPre-existing medical conditionsCOVID-19 mortality riskPeripheral vascular diseaseCOVID-19 patientsCOVID-19 infectionCOVID-19 mortalitySARS-CoV-2Administrative dataLogistic regression modelsRace/ethnicityCohort subgroupsComorbidity indexOverall mortalityComorbid conditions
2018
Impact of linkage quality on inferences drawn from analyses using data with high rates of linkage errors in rural Tanzania
Rentsch CT, Harron K, Urassa M, Todd J, Reniers G, Zaba B. Impact of linkage quality on inferences drawn from analyses using data with high rates of linkage errors in rural Tanzania. BMC Medical Research Methodology 2018, 18: 165. PMID: 30526518, PMCID: PMC6288858, DOI: 10.1186/s12874-018-0632-5.Peer-Reviewed Original Research