The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement
Tóm tắt
Từ khóa
Tài liệu tham khảo
RA Spasoff, 1999, Epidemiologic Methods for Health Policy
EH Morrato, 2007, Using population-based routine data for evidence-based health policy decisions: lessons from three examples of setting and evaluating national health policy in Australia, the UK and the USA, Journal of public health (Oxford, England), 29, 463, 10.1093/pubmed/fdm065
C De Coster, 2006, Identifying priorities in methodological research using ICD-9-CM and ICD-10 administrative data: report from an international consortium, BMC Health Serv Res, 6, 77, 10.1186/1472-6963-6-77
Hemkens LG, Benchimol EI, Langan SM, Briel M, Kasenda B, Januel JM, et al., editors. Reporting of studies using routinely collected health data: systematic literature analysis (oral abstract presentation). REWARD / EQUATOR Conference 2015; 2015 September 28–30; Edinburgh, UK.
EI Benchimol, 2011, Development and use of reporting guidelines for assessing the quality of validation studies of health administrative data, J Clin Epidemiol, 64, 821, 10.1016/j.jclinepi.2010.10.006
E Herrett, 2010, Validation and validity of diagnoses in the General Practice Research Database: a systematic review, British journal of clinical pharmacology, 69, 4, 10.1111/j.1365-2125.2009.03537.x
KJ Rothman, 2008, Modern Epidemiology
AC Plint, 2006, Does the CONSORT checklist improve the quality of reports of randomised controlled trials? A systematic review, The Medical journal of Australia, 185, 263, 10.5694/j.1326-5377.2006.tb00557.x
Enhancing the QUAlity and Transparency Of health Research (EQUATOR) Network Library 2015 [cited 2015 Mar 7]. <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.equator-network.org/library/" xlink:type="simple">http://www.equator-network.org/library/</ext-link>.
JP Vandenbroucke, 2007, Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration, PLOS Medicine, 4, e297, 10.1371/journal.pmed.0040297
E von Elm, 2007, The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies, PLOS Medicine, 4, e296, 10.1371/journal.pmed.0040296
AA Sorensen, 2013, Using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement to assess reporting of observational trials in hand surgery, The Journal of hand surgery, 38, 1584, 10.1016/j.jhsa.2013.05.008
E Cobo, 2011, Effect of using reporting guidelines during peer review on quality of final manuscripts submitted to a biomedical journal: masked randomised trial, BMJ, 343, d6783, 10.1136/bmj.d6783
EI Benchimol, 2013, Call to RECORD: the need for complete reporting of research using routinely collected health data, J Clin Epidemiol, 66, 703, 10.1016/j.jclinepi.2012.09.006
SM Langan, 2013, Setting the RECORD straight: developing a guideline for the REporting of studies Conducted using Observational Routinely collected Data, Clin Epidemiol, 5, 29
SG Nicholls, 2015, The REporting of Studies Conducted Using Observational Routinely-Collected Health Data (RECORD) Statement: Methods for Arriving at Consensus and Developing Reporting Guidelines, PLOS One, 10, e0125620, 10.1371/journal.pone.0125620
D Moher, 2010, Guidance for developers of health research reporting guidelines, PLOS Medicine, 7, e1000217, 10.1371/journal.pmed.1000217
P Glasziou, 2014, Reducing waste from incomplete or unusable reports of biomedical research, Lancet, 383, 267, 10.1016/S0140-6736(13)62228-X
PO Blotiere, 2014, Perforations and haemorrhages after colonoscopy in 2010: a study based on comprehensive French health insurance data (SNIIRAM), Clin Res Hepatol Gastroenterol, 38, 112, 10.1016/j.clinre.2013.10.005
S Siregar, 2014, The Dutch hospital standardised mortality ratio (HSMR) method and cardiac surgery: benchmarking in a national cohort using hospital administration data versus a clinical database, Heart, 100, 702, 10.1136/heartjnl-2013-304645
SD Price, 2013, Use of case-time-control design in pharmacovigilance applications: exploration with high-risk medications and unplanned hospital admissions in the Western Australian elderly, Pharmacoepidemiol Drug Saf, 22, 1159, 10.1002/pds.3469
CP Gross, 2006, Relation between Medicare screening reimbursement and stage at diagnosis for older patients with colon cancer, JAMA, 296, 2815, 10.1001/jama.296.23.2815
JP Vandenbroucke, 2008, Observational research, randomised trials, and two views of medical science, PLOS Medicine, 5, e67, 10.1371/journal.pmed.0050067
HU Prokosch, 2009, Perspectives for medical informatics. Reusing the electronic medical record for clinical research, Methods Inf Med, 48, 38, 10.3414/ME9132
EI Benchimol, 2014, Changing Age Demographics of Inflammatory Bowel Disease in Ontario, Canada: A Population-based Cohort Study of Epidemiology Trends, Inflamm Bowel Dis, 20, 1761, 10.1097/MIB.0000000000000103
R Ducharme, 2013, Validation of diagnostic codes for intussusception and quantification of childhood intussusception incidence in ontario, Canada: a population-based study, J Pediatr, 163, 1073, 10.1016/j.jpeds.2013.05.034
E Herrett, 2013, Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study, BMJ, 346, f2350, 10.1136/bmj.f2350
MP van Herk-Sukel, 2010, New opportunities for drug outcomes research in cancer patients: the linkage of the Eindhoven Cancer Registry and the PHARMO Record Linkage System, European journal of cancer (Oxford, England: 1990), 46, 395, 10.1016/j.ejca.2009.09.010
EL Fosbol, 2013, Prehospital system delay in ST-segment elevation myocardial infarction care: a novel linkage of emergency medicine services and in hospital registry data, Am Heart J, 165, 363, 10.1016/j.ahj.2012.11.003
DG Manuel, 2010, Importance of accurately identifying disease in studies using electronic health records, BMJ, 341, c4226, 10.1136/bmj.c4226
2012
JD Lewis, 2007, Validation studies of the health improvement network (THIN) database for pharmacoepidemiology research, Pharmacoepidemiol Drug Saf, 16, 393, 10.1002/pds.1335
HT Sorensen, 1996, A framework for evaluation of secondary data sources for epidemiological research, International journal of epidemiology, 25, 435, 10.1093/ije/25.2.435
JA Baron, 1994, Internal validation of Medicare claims data, Epidemiology, 5, 541
L Marston, 2014, Smoker, ex-smoker or non-smoker? The validity of routinely recorded smoking status in UK primary care: a cross-sectional study, BMJ open, 4, e004958, 10.1136/bmjopen-2014-004958
P Hardelid, 2014, Estimating the prevalence of chronic conditions in children who die in England, Scotland and Wales: a data linkage cohort study, BMJ open, 4, e005331, 10.1136/bmjopen-2014-005331
J Murray, 2014, Risk factors for hospital admission with RSV bronchiolitis in England: a population-based birth cohort study, PLOS One, 9, e89186, 10.1371/journal.pone.0089186
JG Berry, 2013, Inpatient growth and resource use in 28 children's hospitals: a longitudinal, multi-institutional study, JAMA pediatrics, 167, 170, 10.1001/jamapediatrics.2013.432
DM Shahian, 2010, Variability in the measurement of hospital-wide mortality rates, N Engl J Med, 363, 2530, 10.1056/NEJMsa1006396
DA Springate, 2014, ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records, PLOS One, 9, e99825, 10.1371/journal.pone.0099825
RM Dommett, 2012, Features of childhood cancer in primary care: a population-based nested case-control study, Br J Cancer, 106, 982, 10.1038/bjc.2011.600
C Tsang, 2013, Adverse events recorded in English primary care: observational study using the General Practice Research Database, Br J Gen Pract, 63, e534, 10.3399/bjgp13X670660
K Harron, 2013, Linkage, evaluation and analysis of national electronic healthcare data: application to providing enhanced blood-stream infection surveillance in paediatric intensive care, PLOS One, 8, e85278, 10.1371/journal.pone.0085278
MM Adams, 1997, Constructing reproductive histories by linking vital records, Am J Epidemiol, 145, 339, 10.1093/oxfordjournals.aje.a009111
JB Ford, 2006, Characteristics of unmatched maternal and baby records in linked birth records and hospital discharge data, Paediatr Perinat Epidemiol, 20, 329, 10.1111/j.1365-3016.2006.00715.x
NG Weiskopf, 2013, Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research, Journal of the American Medical Informatics Association: JAMIA, 20, 144, 10.1136/amiajnl-2011-000681
J Sandall, 2014, The efficient use of the maternity workforce and the implications for safety and quality in maternity care: a population-based, cross-sectional study, Health Serv Deliv Res, 2, 10.3310/hsdr02380
C Welch, 2012, Two-stage method to remove population- and individual-level outliers from longitudinal data in a primary care database, Pharmacoepidemiol Drug Saf, 21, 725, 10.1002/pds.2270
J Van den Broeck, 2005, Data cleaning: detecting, diagnosing, and editing data abnormalities, PLOS Medicine, 2, e267, 10.1371/journal.pmed.0020267
MA Bohensky, 2010, Data linkage: a powerful research tool with potential problems, BMC Health Serv Res, 10, 346, 10.1186/1472-6963-10-346
K Harron, 2012, Opening the black box of record linkage, J Epidemiol Community Health, 66, 1198, 10.1136/jech-2012-201376
JT Lariscy, 2011, Differential record linkage by Hispanic ethnicity and age in linked mortality studies: implications for the epidemiologic paradox, J Aging Health, 23, 1263, 10.1177/0898264311421369
MA Dinan, 2013, Variations in use of PET among Medicare beneficiaries with non-small cell lung cancer, 1998–2007, Radiology, 267, 807, 10.1148/radiol.12120174
L Horsfall, 2013, Identifying periods of acceptable computer usage in primary care research databases, Pharmacoepidemiol Drug Saf, 22, 64, 10.1002/pds.3368
DE Gerber, 2014, Impact of prior cancer on eligibility for lung cancer clinical trials, J Natl Cancer Inst, 106, 10.1093/jnci/dju302
G Carrara, 2015, A validation study of a new classification algorithm to identify rheumatoid arthritis using administrative health databases: case-control and cohort diagnostic accuracy studies. Results from the RECord linkage On Rheumatic Diseases study of the Italian Society for Rheumatology, BMJ open, 5, e006029, 10.1136/bmjopen-2014-006029
G Rait, 2009, Recent trends in the incidence of recorded depression in primary care, Br J Psychiatry, 195, 520, 10.1192/bjp.bp.108.058636
LP Wijlaars, 2012, Trends in depression and antidepressant prescribing in children and adolescents: a cohort study in The Health Improvement Network (THIN), PLOS One, 7, e33181, 10.1371/journal.pone.0033181
CY Jeon, 2015, The Association of Statin Use after Cancer Diagnosis with Survival in Pancreatic Cancer Patients: A SEER-Medicare Analysis, PLOS One, 10, e0121783, 10.1371/journal.pone.0121783
Z Pruitt, 2013, Upcoding emergency admissions for non-life-threatening injuries to children, The American journal of managed care, 19, 917
K McLintock, 2014, The effects of financial incentives for case finding for depression in patients with diabetes and coronary heart disease: interrupted time series analysis, BMJ open, 4, e005178, 10.1136/bmjopen-2014-005178
CS Brunt, 2011, CPT fee differentials and visit upcoding under Medicare Part B, Health economics, 20, 831, 10.1002/hec.1649
K Walters, 2012, Recent trends in the incidence of anxiety diagnoses and symptoms in primary care, PLOS One, 7, e41670, 10.1371/journal.pone.0041670
F Nilson, 2015, The effect of the transition from the ninth to the tenth revision of the International Classification of Diseases on external cause registration of injury morbidity in Sweden, Injury prevention: journal of the International Society for Child and Adolescent Injury Prevention, 21, 189, 10.1136/injuryprev-2014-041337
JS Jagai, 2014, Trends in gastroenteritis-associated mortality in the United States, 1985 inverted question mark2005: variations by ICD-9 and ICD-10 codes, BMC Gastroenterol, 14, 211, 10.1186/s12876-014-0211-0
2015, European Network of Centres for Pharmacoepidemiology and Pharmacovigilance Guide on Methodological Standards in Pharmacoepidemiology, 4.2.2.5. Unmeasured confounding
S Toh, 2011, Confounding adjustment via a semi-automated high-dimensional propensity score algorithm: an application to electronic medical records, Pharmacoepidemiol Drug Saf, 20, 849, 10.1002/pds.2152
TA Stukel, 2007, Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods, Jama, 297, 278, 10.1001/jama.297.3.278
PC Austin, 2011, An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies, Multivariate behavioral research, 46, 399, 10.1080/00273171.2011.568786
JA Sterne, 2009, Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls, BMJ, 338, b2393, 10.1136/bmj.b2393
N Freemantle, 2013, Making inferences on treatment effects from real world data: propensity scores, confounding by indication, and other perils for the unwary in observational research, BMJ, 347, f6409, 10.1136/bmj.f6409
L Marston, 2010, Issues in multiple imputation of missing data for large general practice clinical databases, Pharmacoepidemiol Drug Saf, 19, 618, 10.1002/pds.1934
EI Benchimol, 2011, Outcomes of pediatric inflammatory bowel disease: socioeconomic status disparity in a universal-access healthcare system, J Pediatr, 158, 960, 10.1016/j.jpeds.2010.11.039
N Nassar, 2009, Autism spectrum disorders in young children: effect of changes in diagnostic practices, International journal of epidemiology, 38, 1245, 10.1093/ije/dyp260
GH Tan, 2015, The Will Rogers phenomenon in the staging of breast cancer—does it matter?, Cancer Epidemiol, 39, 115, 10.1016/j.canep.2014.11.005
M Taljaard, 2014, Cardiovascular Disease Population Risk Tool (CVDPoRT): predictive algorithm for assessing CVD risk in the community setting. A study protocol, BMJ open, 4, e006701, 10.1136/bmjopen-2014-006701
A Guttmann, 2011, Association between waiting times and short term mortality and hospital admission after departure from emergency department: population based cohort study from Ontario, Canada, BMJ, 342, d2983, 10.1136/bmj.d2983
A Nicol, 2013, Open Data Access Policies and Strategies in the European Research Area and Beyond
T Fuller, 2015, What affects authors' and editors' use of reporting guidelines? Findings from an online survey and qualitative interviews, PLOS One, 10, e0121585, 10.1371/journal.pone.0121585
L Turner, 2012, Consolidated standards of reporting trials (CONSORT) and the completeness of reporting of randomised controlled trials (RCTs) published in medical journals, Cochrane Database Syst Rev, 11, 10.1002/14651858.MR000030.pub2
R Armstrong, 2008, Improving the reporting of public health intervention research: advancing TREND and CONSORT, Journal of public health (Oxford, England), 30, 103, 10.1093/pubmed/fdm082
D Moher, 1999, Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement. Quality of Reporting of Meta-analyses, Lancet, 354, 1896, 10.1016/S0140-6736(99)04149-5