2025
Diagnosis of Polycystic Ovary Syndrome and Non-Hispanic Black Race Are Predictive of Hypertension in Reproductive Age Women with Polycystic Ovary Syndrome
Okifo F, Pal L, Mushi M, Stachenfeld N. Diagnosis of Polycystic Ovary Syndrome and Non-Hispanic Black Race Are Predictive of Hypertension in Reproductive Age Women with Polycystic Ovary Syndrome. Journal Of Women's Health 2025 PMID: 40944506, DOI: 10.1177/15409996251376161.Peer-Reviewed Original ResearchPolycystic ovary syndromeHispanic womenInternational ClassificationNon-Hispanic Black (NHBAcademic health care systemNon-Hispanic black raceConfidence intervalsElectronic health recordsInternational Classification of DiseasesHealth care systemDiagnosis of polycystic ovary syndromeIndependent of polycystic ovary syndromePolycystic ovary syndrome casesObese Hispanic womenClass 3 obesityClassification of diseasesPre-metabolic syndromeBlood pressurePrediction of hypertensionObese PCOSNHB womenHealth recordsNon-HispanicCare systemHypertension incidenceReal-world treatment patterns in patients with generalized pustular psoriasis (GPP):
Strober B, Kwiatkowski H, Lavasani L, Semeco J, Lakshminarasimhan B, Lebwohl M, Gottlieb A. Real-world treatment patterns in patients with generalized pustular psoriasis (GPP):. Journal Of The American Academy Of Dermatology 2025 PMID: 40889717, DOI: 10.1016/j.jaad.2025.08.089.Peer-Reviewed Original ResearchGeneralized pustular psoriasisTopical corticosteroidsPustular psoriasisTreatment patternsGeneralized pustular psoriasis flaresUS Food and Drug Administration approvalReal-world treatment patternsFood and Drug Administration approvalDrug Administration approvalInflammatory skin diseaseInternational ClassificationSystemic corticosteroidsPsO patientsInternational Classification of DiseasesAdministration approvalTreatment guidelinesCorticosteroidsClaims databaseClassification of diseasesPatientsPsoriasisCohortSkin diseasesRevision codesPublished reportsAmputation trends among people who use drugs in the context of Philadelphia’s increasingly xylazine adulterated drug supply
Laurano R, Pogorzelska-Maziarz M, Green T, Beachy S, Rising K, Hom J, Reed M. Amputation trends among people who use drugs in the context of Philadelphia’s increasingly xylazine adulterated drug supply. Drug And Alcohol Dependence 2025, 275: 112826. PMID: 40815910, DOI: 10.1016/j.drugalcdep.2025.112826.Peer-Reviewed Original ResearchInternational ClassificationFactors associated with amputationAssociated with amputationInternational Classification of DiseasesAcute care visitsIncidence of amputationClassification of diseasesDrug supplyTreatment completionMultivariate logistic regressionActive substance useCare visitsHealth providersRetrospective analysis of dataICD-10United StatesUnique patientsLogistic regressionAmputationDrug checkingOpioid related disordersOverdose deathsAnalysis of dataMedical examinationSubstance useCannabis Legalization and Opioid Use Disorder in Veterans Health Administration Patients
Mannes Z, Wall M, Alschuler D, Malte C, Olfson M, Livne O, Fink D, Keyhani S, Keyes K, Martins S, Cerdá M, Sacco D, Gutkind S, Maynard C, Sherman S, Saxon A, Hasin D. Cannabis Legalization and Opioid Use Disorder in Veterans Health Administration Patients. JAMA Health Forum 2025, 6: e251369. PMID: 40512510, PMCID: PMC12166489, DOI: 10.1001/jamahealthforum.2025.1369.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationVeterans Health Administration patientsMedical cannabis lawsOpioid use disorderPrevalence of opioid use disorderClassification of diseasesRecreational cannabis lawsChronic painVeterans Health Administration electronic health recordClinical ModificationConsistent with overall findingsState medical cannabis lawsInternational Statistical Classification of DiseasesReceipt of prescription opioidsStatistical Classification of DiseasesElectronic health recordsInternational Classification of DiseasesNon-Hispanic whitesOpioid use disorder diagnosisOpioid use disorder prevalenceInternational Statistical ClassificationDifference-in-differences analysisCannabis lawsUse disorderBurden of opioid use disorderEmergency Department Visits for Pelvic Organ Prolapse in the United States.
Markowitz M, St Martin B, Lundsberg L, Ringel N. Emergency Department Visits for Pelvic Organ Prolapse in the United States. Urogynecology 2025 PMID: 40454707, PMCID: PMC12353341, DOI: 10.1097/spv.0000000000001703.Peer-Reviewed Original ResearchEmergency department visitsEmergency department useEmergency department presentationsDepartment visitsPelvic organ prolapseDepartment useUtilization Project Nationwide Emergency Department SampleReduce emergency department useOrgan prolapseEmergency departmentHousehold incomeAnnual emergency department visitsNationwide Emergency Department SampleIncidence of emergency department visitsInternational Classification of DiseasesLower household incomeHealth care systemEmergency Department SampleClinical Modification codesCommunity outreach effortsClassification of diseasesCross-sectional studyDiagnosis of pelvic organ prolapseOutpatient workflowUnited StatesHealth and Utilization Burden of Obstructive Sleep Apnea among U.S. Active-Duty Military Personnel
Wickwire E, Capaldi V, Herrin J, Stryckman B, Thomas C, Williams S, Werner J, Funk W, Nassif T, Albrecht J. Health and Utilization Burden of Obstructive Sleep Apnea among U.S. Active-Duty Military Personnel. CHEST Journal 2025 PMID: 40368028, DOI: 10.1016/j.chest.2025.05.007.Peer-Reviewed Original ResearchObstructive sleep apneaBurden of obstructive sleep apneaSleep apneaUtilization burdenNewly diagnosed OSAIncreased riskObstructive sleep apnea diagnosisObstructive sleep apnea treatmentMonths of continuous enrollmentAssociated with increased riskHealthcare resource utilizationActive-duty military personnelInternational Classification of DiseasesMilitary Data RepositoryContinuous enrollmentClassification of diseasesPsychological health outcomesWhite racePsychiatric comorbiditiesService membersApneaED encountersHealth outcomesInternational ClassificationMedical outcomesUsing Electronic Health Records to Classify Cancer Site and Metastasis
Kroenke K, Ruddy K, Pachman D, Grzegorczyk V, Herrin J, Rahman P, Tobin K, Griffin J, Chlan L, Austin J, Ridgeway J, Mitchell S, Marsolo K, Cheville A. Using Electronic Health Records to Classify Cancer Site and Metastasis. Applied Clinical Informatics 2025, 16: 556-568. PMID: 40533095, PMCID: PMC12176508, DOI: 10.1055/a-2544-3117.Peer-Reviewed Original ResearchConceptsCancer registry dataCancer sitesNumerical rating scaleCancer symptomsRegistry dataInternational Statistical Classification of DiseasesCollaborative care approachStatistical Classification of DiseasesElectronic health recordsCancer symptom controlMedical oncology clinicInternational Statistical ClassificationClassification of diseasesDiverse cohort of patientsCancer RegistryCare approachPrevalent codesHealth recordsPragmatic trialSite diagnosisHealth systemEHR dataOncology clinicDiagnostic codesICD-10Aortic valve calcium as a novel risk marker for kidney function deterioration: The MESA study
Abdollahi A, Sani M, Shabani M, Matuck B, Blaha M, Wu C, Ambale-Venkatesh B, Budoff M, Strom J, Rotter J, Post W, Blumenthal R, Bluemke D, Ghahramani N, Lima J, Whelton S. Aortic valve calcium as a novel risk marker for kidney function deterioration: The MESA study. European Journal Of Internal Medicine 2025, 136: 49-55. PMID: 40263084, DOI: 10.1016/j.ejim.2025.03.037.Peer-Reviewed Original ResearchConceptsMulti-Ethnic Study of AtherosclerosisRisk of incident chronic kidney diseaseIncident chronic kidney diseaseAortic valve calciumInternational Classification of DiseasesChronic kidney diseaseCardiac CT scansAdjusted Cox proportional hazards regression modelsMultivariable adjusted Cox proportional hazards regression modelsParticipants free of chronic kidney diseaseCardiovascular diseaseMulti-Ethnic Study of Atherosclerosis studyValve calciumCT scanCVD risk factorsHistory of cardiovascular diseaseCategorized as 0Higher risk of incident CKDFree of chronic kidney diseaseAssociated with increased risk of mortalityMulti-Ethnic StudyAtherosclerotic CVD risk factorsMulti-ethnic cohortAPOE-e4 genotypeClassification of diseasesUtility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder
Davis C, Jinwala Z, Hatoum A, Toikumo S, Agrawal A, Rentsch C, Edenberg H, Baurley J, Hartwell E, Crist R, Gray J, Justice A, Gelernter J, Kember R, Kranzler H, Muralidhar S, Moser J, Deen J, Tsao P, Gaziano J, Hauser E, Kilbourne A, Matheny M, Oslin D, Churby L, Whitbourne S, Brewer J, Shayan S, Selva L, Pyarajan S, Cho K, DuVall S, Brophy M, Stephens B, Connor T, Argyres D, Assimes T, Hung A, Kranzler H, Aguayo S, Ahuja S, Alexander K, Androulakis X, Balasubramanian P, Ballas Z, Beckham J, Bhushan S, Boyko E, Cohen D, Dellitalia L, Faulk L, Fayad J, Fujii D, Gappy S, Gesek F, Greco J, Godschalk M, Gress T, Gupta S, Gutierrez S, Harley J, Hamner M, Hurley R, Iruvanti P, Jacono F, Jhala D, Kinlay S, Landry M, Liang P, Liangpunsakul S, Lichy J, Mahan C, Marrache R, Mastorides S, Mattocks K, Meyer P, Moorman J, Morgan T, Murdoch M, Norton J, Okusaga O, Oursler K, Poon S, Rauchman M, Servatius R, Sharma S, Smith R, Sriram P, Strollo P, Tandon N, Villareal G, Walsh J, Wells J, Whittle J, Whooley M, Wilson P, Xu J, Yeh S, Bast E, Dryden G, Hogan D, Joshi S, Lo T, Morales P, Naik E, Ong M, Petrakis I, Rai A, Yen A. Utility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder. JAMA Network Open 2025, 8: e2453913. PMID: 39786773, PMCID: PMC11718552, DOI: 10.1001/jamanetworkopen.2024.53913.Peer-Reviewed Original ResearchConceptsOpioid use disorder riskElectronic health record dataHealth record dataInternational Classification of DiseasesOpioid use disorderClassification of diseasesGenetic variantsInternational ClassificationGenetic riskRecord dataRisk of opioid use disorderMillion Veteran ProgramOpioid use disorder diagnosisUse disorderCase-control studyVeteran ProgramMain OutcomesDiagnostic codesClinical careOpioid exposurePharmacy recordsLogistic regressionRisk allelesNagelkerke R2Clinically useful model
2024
Accuracy of Electronic Health Record Phenotypes to Detect Recognition of Hypertension in Pediatric Primary Care
Nugent J, Cueto V, Tong C, Sharifi M. Accuracy of Electronic Health Record Phenotypes to Detect Recognition of Hypertension in Pediatric Primary Care. Academic Pediatrics 2024, 25: 102629. PMID: 39732164, PMCID: PMC11893226, DOI: 10.1016/j.acap.2024.102629.Peer-Reviewed Original ResearchConceptsPediatric primary careIncident hypertensionHypertensive BPHypertension recognitionPrimary careRecognition of hypertensionCross-sectional study of children aged 3Diagnosis codesElectronic health record phenotypingClinician recognitionClinician decision supportGuideline-recommended careElectronic health recordsInternational Classification of DiseasesChart reviewDocumentation of hypertensionClassification of diseasesCross-sectional studyChildren aged 3Problem list entriesWellness visitsHealth recordsEHR phenotypesInternational ClassificationICD-10The incidence, providers involved, and patient factors associated with diagnosis of specific lumbar spine pathology subsequent an initial nonspecific low back pain diagnosis
Seddio A, Jabbouri S, Gouzoulis M, Sanchez J, Day W, Varthi A, Rubio D, Grauer J. The incidence, providers involved, and patient factors associated with diagnosis of specific lumbar spine pathology subsequent an initial nonspecific low back pain diagnosis. The Spine Journal 2024, 25: 688-695. PMID: 39505011, DOI: 10.1016/j.spinee.2024.10.008.Peer-Reviewed Original ResearchLow back painPrimary care providersLow back pain diagnosisNS-LBPInternational Classification of DiseasesLumbar spine pathologyHistory of cancerSpecialty providersOpioid use disorderNonspecific low back painSpine pathologyBack pain diagnosisPCP providersFactors associated with diagnosisClassification of diseasesUse disorderLBP managementLBP symptomsNational administrative databaseCare providersBack painFamily medicineAdult patientsProvider specialtyPain diagnosisRisk Score for Hepatocellular Cancer in Adults Without Viral Hepatitis or Cirrhosis
Ilagan-Ying Y, Gordon K, Tate J, Lim J, Torgersen J, Re V, Justice A, Taddei T. Risk Score for Hepatocellular Cancer in Adults Without Viral Hepatitis or Cirrhosis. JAMA Network Open 2024, 7: e2443608. PMID: 39504020, PMCID: PMC11541635, DOI: 10.1001/jamanetworkopen.2024.43608.Peer-Reviewed Original ResearchConceptsClassification of diseasesBody mass indexRisk scoreNinth Revision and International Statistical Classification of DiseasesMass indexAlcohol useInternational Statistical Classification of DiseasesStatistical Classification of DiseasesElectronic health recordsNon-Hispanic blacksInternational Classification of DiseasesNon-Hispanic whitesClinical Modification diagnosisHepatocellular carcinoma risk scoreRisk of hepatocellular carcinomaCox proportional hazards regression modelsValidation sampleHigh-risk individualsProportional hazards regression modelsHCC risk factorsFIB-4Multivariate risk scoreHepatocellular carcinomaHazards regression modelsViral hepatitisA Validated Algorithm to Identify Hepatic Decompensation in the Veterans Health Administration Electronic Health Record System
Haque L, Tate J, Chew M, Caniglia E, Taddei T, Re V. A Validated Algorithm to Identify Hepatic Decompensation in the Veterans Health Administration Electronic Health Record System. Pharmacoepidemiology And Drug Safety 2024, 33: e70024. PMID: 39477692, PMCID: PMC11631147, DOI: 10.1002/pds.70024.Peer-Reviewed Original ResearchConceptsVeterans Health Administration dataHealth administrative dataAdministrative dataElectronic health record systemsHealth record systemsInternational Classification of DiseasesCoding algorithmOutpatient International Classification of DiseasesPositive predictive valueClassification of diseasesHepatic decompensationDiagnosis codesPharmacoepidemiologic researchMedical recordsVeteransRecording systemValidation algorithmAlgorithmChronic liver diseaseDecompensationLiver diseasePredictive valueRecordsDiagnosisImplications of mappings between International Classification of Diseases clinical diagnosis codes and Human Phenotype Ontology terms
Tan A, Gonçalves R, Yuan W, Brat G, Gentleman R, Kohane I, Masino A, Makoudjou A, Albayrak A, Gutiérrez-Sacristán A, Zambelli A, Malovini A, Carmona A, Hoffmann A, Gramfort A, Geva A, Blanco-Martínez A, Tan A, Terriza-Torres A, Spiridou A, Prunotto A, South A, Vallejos A, Atz A, Burgun A, Alloni A, Cattelan A, Jannot A, Neuraz A, Bellasi A, Maram A, Dagliati A, Sandrin A, Serret-Larmande A, Mensch A, Pfaff A, Batugo A, Krishnamurthy A, Adam A, Dionne A, Devkota B, Moal B, He B, Beaulieu-Jones B, Beaulieu-Jones B, Ostasiewski B, Aronow B, Tan B, Tan B, Torti C, Sáez C, Neto C, Sonday C, Caucheteux C, Mao C, Zucco C, Daniel C, Haverkamp C, Hong C, Bonzel C, Moraleda C, Leprovost D, Key D, Zöller D, Pillion D, Mowery D, Amendola D, Henderson D, Hanauer D, Taylor D, Wassermann D, Hazard D, Kraska D, Mazzotti D, Silvio D, Bell D, Murad D, Salamanca E, Bucholz E, Getzen E, Pfaff E, Schriver E, Toh E, Parimbelli E, Trecarichi E, Ashraf F, Vidorreta F, Bourgeois F, Sperotto F, Angoulvant F, Brat G, Varoquaux G, Omenn G, Agapito G, Albi G, Weber G, Verdy G, Lemaitre G, Roig-Domínguez G, Prokosch H, Zhang H, Estiri H, Krantz I, Kohane I, Honerlaw J, Cruz-Rojo J, Norman J, Balshi J, Cimino J, Aaron J, Santos J, Newburger J, Zahner J, Moore J, Marwaha J, Craig J, Klann J, Morris J, Obeid J, Vie J, Chen J, Son J, Zachariasse J, Booth J, Holmes J, Bernal-Sobrino J, Cruz-Bermúdez J, Leblanc J, Schuettler J, Dubiel J, Champ J, Olson K, Moshal K, Kernan K, Kirchoff K, Wagholikar K, Ngiam K, Cho K, Mandl K, Huling K, Chen K, Lynch K, Sanchez-Pinto L, Garmire L, Han L, Patel L, Waitman L, Lenert L, Anthony L, Esteve L, Chiudinelli L, Chiovato L, Scudeller L, Samayamuthu M, Martins M, Minicucci M, Menezes M, Vella M, Mazzitelli M, Savino M, Milano M, Okoshi M, Cannataro M, Alessiani M, Keller M, Hilka M, Wolkewitz M, Boeker M, Raskin M, Bucalo M, Hutch M, Bernaux M, Beraghi M, Morris M, Vitacca M, Pedrera-Jiménez M, Daniar M, Shah M, Liu M, Maripuri M, Kainth M, Yehya N, Santhanam N, Palmer N, Loh N, Sebire N, Romero-Garcia N, Brown N, Paris N, Griffon N, Gehlenborg N, Orlova N, García-Barrio N, Grisel O, Rojo P, Serrano-Balazote P, Sacchi P, Tippmann P, Martel P, Serre P, Avillach P, Azevedo P, Rubio-Mayo P, Schubert P, Guzzi P, Sliz P, Das P, Long Q, Ramoni R, Goh R, Badenes R, Bruno R, Kavuluru R, Bellazzi R, Issitt R, Follett R, Bradford R, Prudente R, Bey R, Griffier R, Duan R, Mahmood S, Mousavi S, Lozano-Zahonero S, Pizzimenti S, Maidlow S, Wong S, DuVall S, Cossin S, L'Yi S, Murphy S, Fan S, Visweswaran S, Rieg S, Bosari S, Makwana S, Bréant S, Bhatnagar S, Tanni S, Cormont S, Ahooyi T, Priya T, Naughton T, Ganslandt T, Colicchio T, Cai T, Gradinger T, González T, Zuccaro V, Tibollo V, Jouhet V, Quirós-González V, Panickan V, Benoit V, Njoroge W, Bryant W, Yuan W, Xiong X, Wang X, Ye Y, Luo Y, Ho Y, Strasser Z, Abad Z, Xia Z, Kate K, Hernández-Arango A, Schwamm E. Implications of mappings between International Classification of Diseases clinical diagnosis codes and Human Phenotype Ontology terms. JAMIA Open 2024, 7: ooae118. PMID: 39559493, PMCID: PMC11570992, DOI: 10.1093/jamiaopen/ooae118.Peer-Reviewed Original ResearchElectronic health recordsElectronic health record datasetInternational Classification of Diseases codesInternational Classification of DiseasesAlignment of ontologiesMedical Language SystemHuman Phenotype OntologyData annotationBiomedical entitiesUMLData integrationElectronic health record dataInternational ClassificationHuman Phenotype Ontology termsHealth recordsOntologyCodeAnnotated phenotypesClinical diagnosis codesClassification of diseasesLanguage systemDatasetResearch ontologyMap coverageDiagnosis codesEvaluating the concordance between International Classification of Diseases, Tenth Revision Code and stroke severity as measured by the National Institutes of Health Stroke Scale
Taha M, Habib M, Lomachinsky V, Hadar P, Newhouse J, Schwamm L, Blacker D, Moura L. Evaluating the concordance between International Classification of Diseases, Tenth Revision Code and stroke severity as measured by the National Institutes of Health Stroke Scale. BMJ Neurology Open 2024, 6: e000831. PMID: 39363950, PMCID: PMC11448239, DOI: 10.1136/bmjno-2024-000831.Peer-Reviewed Original ResearchPaul Coverdell National Acute Stroke ProgramNational Institutes of Health Stroke ScaleInternational Classification of DiseasesClassification of diseasesHealth Stroke ScaleInternational ClassificationICD-10Acute ischaemic strokeStroke severityICD-10 diagnosis codesStroke ScaleNIHSS scoreMeasures of stroke severityMedicare claims dataIntraclass correlation coefficientNational Institutes of Health Stroke Scale scoreNational InstituteMedicaid Services guidelinesService guidelinesStroke ProgramClinical registryDiagnosis codesClaims dataSampled patientsExpert clinical evaluationImpact of COVID-19 Pandemic on Emergency Department Visits for Opioid Use Disorder Across University of California Health Centers
Heshmatipour M, Ng D, Truong E, Zheng J, Chan A, Wang Y. Impact of COVID-19 Pandemic on Emergency Department Visits for Opioid Use Disorder Across University of California Health Centers. Western Journal Of Emergency Medicine 2024, 0: 883-889. PMID: 39625758, PMCID: PMC11610740, DOI: 10.5811/westjem.18468.Peer-Reviewed Original ResearchConceptsEmergency department visitsED visit ratesSynthetic opioid overdoseOpioid-related eventsOpioid-related ED visitsED visitsOpioid overdoseElectronic health recordsHealth centersDepartment visitsVisit ratesSynthetic opioidsCOVID-19 pandemicRate ratiosRates of emergency department visitsConfidence intervalsOpioid use disorderNegative binomial regressionPrescription opioid overdoseInternational Classification of DiseasesHealth recordsClinical Modification codesClassification of diseasesAcademic medical centerMonthly visit ratesPart III: Navigating an encounter with a trafficked person in the dermatology clinic
Santiago Mangual K, Patin E, Chandler M, Grant-Kels J, Lederer L, Kourosh A. Part III: Navigating an encounter with a trafficked person in the dermatology clinic. Clinics In Dermatology 2024, 43: 127-133. PMID: 39341514, DOI: 10.1016/j.clindermatol.2024.09.026.Peer-Reviewed Original ResearchConceptsHealth care systemCare systemPatient-centered careHealth care providersInternational Classification of DiseasesComprehensive needs assessmentElectronic medical recordsHealth care protocolsClassification of diseasesTrafficked patientsCare providersTrafficked personsNeeds assessmentCare protocolsDermatology clinicTrauma-informedMedical recordsSpecialized trainingHealthAppropriate International Classification of DiseasesClinicEncountersPersonsVictim encounterPatientsThe Use of Postoperative Antibiotics in Shoulder Arthroscopy Patients.
Vasavada K, Gipsman A, Mojica E, Shankar D, Mannino B, Jazrawi L. The Use of Postoperative Antibiotics in Shoulder Arthroscopy Patients. Bulletin Of The NYU Hospital For Joint Disease 2024, 82: 167-171. PMID: 39150869.Peer-Reviewed Original ResearchConceptsProphylactic oral antibioticsIncidence of infectionShoulder arthroscopyAntibiotic prophylaxisPostoperative antibioticsOral antibioticsAntibiotic usageProphylactic postoperative antibioticsShoulder arthroscopy patientsPostoperative antibiotic prophylaxisDeep tissue infectionsClinical ModificationCases of infectionOutpatient surgery centerRisk of infectionChi-square testRetrospective reviewTissue infectionsInternational Classification of DiseasesPost hoc power analysisArthroscopy patientsPrimary outcomeClassification of diseasesSurgery centersPatientsReliability generalization Meta-Analysis and psychometric review of the Gaming Disorder test (GDT): Evaluating internal consistency
Jahrami H, Husain W, Lin C, Björling G, Potenza M, Pakpour A. Reliability generalization Meta-Analysis and psychometric review of the Gaming Disorder test (GDT): Evaluating internal consistency. Addictive Behaviors Reports 2024, 20: 100563. PMID: 39282470, PMCID: PMC11399696, DOI: 10.1016/j.abrep.2024.100563.Peer-Reviewed Original ResearchInternal consistencyCronbach's alphaMeta-analysisPsychometric propertiesInternational Classification of DiseasesEvaluate internal consistencyExcellent internal consistencyClassification of diseasesRisk of biasPublic health issueReliability generalization meta-analysisPsychometric reviewInternational ClassificationStudy qualityQualitative synthesisHealth issuesPre-registrationPsychometric testsGaming Disorder TestComprehensive searchDiverse populationsSample characteristicsPsychometric dataAnalyzed studiesGaming disorderQuality Improvement Initiative Enhances Outpatient Pediatric Pulmonology Follow-up for Premature Infants with Bronchopulmonary Dysplasia
Brumer E, Godse S, Chandrasekar L, Kizilirmak T, Blythe E, Gozzo Y, Peterec S, Kandil S, Grossman M, Chen L, Weiss P, Sheares B. Quality Improvement Initiative Enhances Outpatient Pediatric Pulmonology Follow-up for Premature Infants with Bronchopulmonary Dysplasia. Pediatric Quality And Safety 2024, 9: e736. PMID: 38854502, PMCID: PMC11161285, DOI: 10.1097/pq9.0000000000000736.Peer-Reviewed Original ResearchSevere bronchopulmonary dysplasiaBronchopulmonary dysplasiaPremature infantsFollow-upClassification of bronchopulmonary dysplasiaDiagnosis of bronchopulmonary dysplasiaYale-New Haven Children's HospitalBronchopulmonary dysplasia severityFollow-up of childrenPulmonary follow-upStandard treatment optionPercentage of patientsRespiratory-related morbidityPremature babiesInternational Classification of DiseasesAccuracy of diagnosisTreatment optionsCorrect diagnosisChildren's HospitalQuality improvement initiativesQuality improvement projectClassification of diseasesMedical recordsPercentage of appointmentsElectronic medical records
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply