Methods for identifying 30 chronic conditions: application to administrative data.
about
Administrative data are not sensitive for the detection of peripheral artery disease in the community.Defining and validating comorbidities and procedures in ICD-10 health data in ST-elevation myocardial infarction patients.Geographic clustering of emergency department presentations for acute coronary syndromes and heart failure in Alberta: a population-based studyReal-World Assessment of Renal and Bone Safety among Patients with HIV Infection Exposed to Tenofovir Disoproxil Fumarate-Containing Single-Tablet Regimens.Disparities in Electronic Health Record Patient Portal Use in Nephrology Clinics.Evidence-based design recommendations for prevalence studies on multimorbidity: improving comparability of estimates.Multimorbidity, dementia and health care in older people:a population-based cohort studyIdentification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol.Emergency Department Use among Patients with CKD: A Population-Based Analysis.Potentially Preventable Hospitalization among Patients with CKD and High Inpatient Use.Risk of Hospital-Acquired Complications in Patients with Chronic Kidney Disease.Adverse Outcomes Associated with Preventable Complications in Hospitalized Patients with CKD.Does the impact of case management vary in different subgroups of multimorbidity? Secondary analysis of a quasi-experiment.Self-reported versus health administrative data: implications for assessing chronic illness burden in populations. A cross-sectional study.Health care costs associated with hospital acquired complications in patients with chronic kidney disease.Temporal Trends in the Use and Comparative Effectiveness of Direct Oral Anticoagulant Agents Versus Warfarin for Nonvalvular Atrial Fibrillation: A Canadian Population-Based Study.Statin Use and Survival After Acute Kidney Injury.Time in therapeutic range and stability over time for warfarin users in clinical practice: a retrospective cohort study using linked routinely collected health data in Alberta, Canada.Examining the prevalence and patterns of multimorbidity in Canadian primary healthcare: a methodologic protocol using a national electronic medical record database.Concentrations of Trace Elements and Clinical Outcomes in Hemodialysis Patients: A Prospective Cohort Study.The effect of provider affiliation with a primary care network on emergency department visits and hospital admissions.Development of a research tool to document self-reported chronic conditions in primary care.Follow-up Care of Living Kidney Donors in Alberta, CanadaMultimorbidity and mortality: A 15-year longitudinal registry-based nationwide Danish population studyIdentifying cirrhosis, decompensated cirrhosis and hepatocellular carcinoma in health administrative data: A validation study
P2860
Q31084934-BF492F71-B982-4069-B636-E5CE1808544EQ31121046-70CBAF59-1DFB-473C-BE03-948A2B7B7D22Q33874610-8E2F960C-2620-4FC0-A162-587FEABC7197Q36219963-2DFDAA93-AC2A-4DB5-9135-F76AA4B8C96DQ36250272-AB942128-6DAE-4D36-AE9F-B1E301DF1B0FQ37686344-49AE5754-C34F-4F8D-B6C4-0F9E7D71A88EQ38623214-A051381D-F0F4-4C01-B437-95206CBD31EEQ38945583-6AC805F0-3D16-42C4-926E-C21D85002F77Q39001156-5675F396-291C-42D0-8A1D-41E0E720744DQ39207535-AD7F8490-93EE-4CF3-AE10-866A02E864B7Q39771215-3E7CB6B8-C0D6-4E74-8358-FE40C1E28CE0Q40224475-8A5A81E8-A336-4592-BDA4-CCE2E84C5652Q41250673-A1118E66-BB6A-4C26-9B15-C8A8C6396C61Q42125133-7B7BCB4B-3F48-4CE1-B6A2-C8248E31F310Q47104763-8A2E1BBD-E808-4E5F-A3F5-C7EAF05E6E4AQ47136340-489C670E-B849-4D78-BDE4-373801C1D100Q47161734-698F7614-68A4-4C97-98CF-50A66F9AEFCAQ47703734-21850DB2-1AF7-4AF7-BDD2-0BFC17D587DBQ51039140-C83F1A8C-6CC9-48F6-BD9A-54E062776E21Q54245577-18958374-9D64-4446-92D5-C6D315B28C85Q54979016-F0CA370D-601B-4762-AC93-FF3400356C2CQ55562100-877F7764-71D4-46C9-8E3B-19407B9B1CADQ57174506-E210C4AD-A854-4893-A993-B4D47DB630F8Q58567670-896FE667-C777-4678-8AB0-0963900CB589Q58723499-E89244C7-4ECF-4988-9F65-BB48E7B665AF
P2860
Methods for identifying 30 chronic conditions: application to administrative data.
description
2015 nî lūn-bûn
@nan
2015 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Methods for identifying 30 chronic conditions: application to administrative data.
@ast
Methods for identifying 30 chronic conditions: application to administrative data.
@en
type
label
Methods for identifying 30 chronic conditions: application to administrative data.
@ast
Methods for identifying 30 chronic conditions: application to administrative data.
@en
prefLabel
Methods for identifying 30 chronic conditions: application to administrative data.
@ast
Methods for identifying 30 chronic conditions: application to administrative data.
@en
P2093
P2860
P50
P1476
Methods for identifying 30 chronic conditions: application to administrative data.
@en
P2093
Braden J Manns
Brenda R Hemmelgarn
Martin Fortin
Matthew T James
Paul Ronksley
Peter Sargious
Richard Lewanczuk
Scott W Klarenbach
Sharon Straus
P2860
P2888
P356
10.1186/S12911-015-0155-5
P577
2015-04-17T00:00:00Z
P5875
P6179
1004143210