Discharge Abstract Database (DAD) (Canada)

Database Contact Data

Sally Lieu
Canadian Institute for Health Information
495 Richmond Road, Suite 600
Ottawa, Ontario  K2A 4H6
CANADA
Phone: +1 (613) 241-5543
Email: CAD@cihi.ca

Alternate Contact

1. Patrick Doary
Email: help@cihi.ca

2. Data inquiry form: https://www.cihi.ca/en/data-inquiry-form

References of Studies Using/Describing Database

1. Mirzadeh P, Kuk JL, Wharton S, Ardern CI. Overweight and obesity code (E66) trends and predictors in Canada: Cross-sectional analysis of Discharge Abstract Data (DAD), 2018-2022. Obes Res Clin Pract. 2024 Sep 30:S1871-403X(24)00390-9. doi: 10.1016/j.orcp.2024.09.275. Epub ahead of print.

2. Guilcher SJ, Bai YQ, Wodchis WP, Bronskill SE, Rashidian L, Kuluski K. What happened to the patients? Care trajectories for persons with a delayed hospital discharge during wave 1 of COVID-19 in Ontario, Canada; a population-based retrospective cohort study. PloS one. 2024 Sep 27;19(9):e0309155.

3. Sandhu N, Li B, Southern DA, Tower G, Onos D, Lochhead A, Whittle S, Quan H. Comparing terminology mappings to ICD-10 coded data in Discharge Abstract Database (DAD) in Alberta, Canada. International Journal of Population Data Science. 2024 Sep 10;9(5).

4. Guilcher SJ, Mayo AL, Swayze S, de Mestral C, Viana R, Payne MW, Dilkas S, Devlin M, MacKay C, Kayssi A, Hitzig SL. Patterns of inpatient acute care and emergency department utilization within one year post-initial amputation among individuals with dysvascular major lower extremity amputation in Ontario, Canada: A population-based retrospective cohort study. Plos one. 2024 Jul 11;19(7):e0305381.

5. Jiang L, Austin PC, Wodchis WP, Kiran T, Guan J, Gershon AS. Timing of follow-up visits after hospital discharge for COPD: Application of a new method. Plos one. 2024 Jul 10;19(7):e0302681.

6. Razavilar N, Tran DT, Dukelow SP, Round J. Utilization of early supported discharge and outpatient rehabilitation services following inpatient stroke rehabilitation. Archives of Public Health. 2024 May 30;82(1):80.

7. Johnson A, Nguyen F, Richardson M, Rabi S, Mann S, Gilron I, Yach J, Milne B, Evans G, Parlow J. Postdischarge opioid use after lumbar spine surgery among older adults in Ontario: a population-based cohort study. Canadian Journal of Surgery. 2024 May;67(3):E252.

8. Salimian S, Virani SA, Roston TM, Yao RJ, Turgeon RD, Ezekowitz J, Hawkins NM. Impact of the method of calculating 30-day readmission rate after hospitalization for heart failure. Data from the VancOuver CoastAL Acute Heart Failure (VOCAL-AHF) registry. European Heart Journal-Quality of Care and Clinical Outcomes. 2024 Apr 12:qcae026.

9. Jones A, Lapointe-Shaw L, Brown K, Babe G, Hillmer M, Costa A, Stall N, Quinn K. Short-term mortality and palliative care use after delayed hospital discharge: a population-based retrospective cohort study. BMJ Support Palliat Care. 2024 Jan 9:spcare-2023-004647. doi: 10.1136/spcare-2023-004647. Epub ahead of print.

10. Kemp K, Steele B, Ahmed S, Fairie P, Santana M. Person-centred quality indicators are associated with unplanned care use following hospital discharge. BMJ Open Quality. 2024 Jan 1;13(1):e002501.

Optum De-identified Electronic Health Record (EHR) (USA)

Database Contact Data

Vito Perry
OPTUM USA
Email: vito.perry@optum.com
Phone +1 801-982-3107 

Alternate Contact

If you cannot reach the database manager, please try completing the contact form at: https://www.optum.com/en/business/insights/life-sciences/page.hub5.contact-life-sciences.html

References of Studies Using/Describing Database

1. Fenton JJ, Fang SY, Ray M, Kennedy J, Padilla K, Amundson R, Elton D, Haldeman S, Lisi A, Sico J, Wayne PM, Romano PS. Longitudinal Care Patterns and Utilization Among Patients with New-Onset Neck Pain by Initial Provider Specialty. Spine (Phila Pa 1976). 2023 Aug 1. doi: 10.1097/BRS.0000000000004781. Epub ahead of print.

2. Vizcaya D, Kovesdy CP, Reyes A, Pessina E, Pujol P, James G, Oberprieler NG. Characteristics of patients with chronic kidney disease and Type 2 diabetes initiating finerenone in the USA: a multi-database, cross-sectional study. J Comp Eff Res. 2023 Aug;12(8):e230076.

3. Cuker A, Buckley B, Mousseau MC, Barve AA, Haenig J, Bussel JB. Early initiation of second-line therapy in primary immune thrombocytopenia: insights from real-world evidence. Ann Hematol. 2023 Aug;102(8):2051-2058.

4. Chu CD, Xia F, Du Y, Singh R, Tuot DS, Lamprea-Montealegre JA, Gualtieri R, Liao N, Kong SX, Williamson T, Shlipak MG, Estrella MM. Estimated Prevalence and Testing for Albuminuria in US Adults at Risk for Chronic Kidney Disease. JAMA Netw Open. 2023 Jul 3;6(7):e2326230.

5. Huang Y, Li X, Dongarwar D, Wu H, Zhang GQ. Data Mining Pipeline for COVID-19 Vaccine Safety Analysis Using a Large Electronic Health Record. AMIA Jt Summits Transl Sci Proc. 2023 Jun 16;2023:271-280.

6. Dispenzieri A, Zonder J, Hoffman J, Wong SW, Liedtke M, Abonour R, D'Souza A, Lee C, Cote S, Potluri R, Ammann E, Tran N, Lam A, Nair S. Real-world treatment patterns, costs, and outcomes in patients with AL amyloidosis: analysis of the Optum EHR and commercial claims databases. Amyloid. 2023 Jun;30(2):161-168.

7. Schattenberg JM, Balp MM, Reinhart B, Tietz A, Regnier SA, Capkun G, Ye Q, Loeffler J, Pedrosa MC, Docherty M. NASHmap: clinical utility of a machine learning model to identify patients at risk of NASH in real-world settings. Sci Rep. 2023 Apr 5;13(1):5573.

8. Chandran U, Reps J, Yang R, Vachani A, Maldonado F, Kalsekar I. Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care. Cancer Epidemiol Biomarkers Prev. 2023 Mar 6;32(3):337-343.

9. Youn B, Proud CM, Wang N, Hou Q, Viscidi E, Eaton S, Paradis AD, Neville BA, Johnson NB. Examining Real-World Adherence to Nusinersen for the Treatment of Spinal Muscular Atrophy Using Two Large US Data Sources. Adv Ther. 2023 Mar;40(3):1129-1140.

10. Neslusan C, Chen YW, Sharma M, Voelker J. Unmet need in major depressive disorder and acute suicidal ideation or behavior: findings from a longitudinal electronic health record data analysis. J Med Econ. 2023 Jan-Dec;26(1):1-10.

BIG3 (Sweden)

Database Contact Data

Ulf Malmqvist
Email: Ulf.Malmqvist@skane.se

André Wennersten
Email: Andre.Wennersten@skane.se

- If you have questions regarding contract management or contract issues, please contact: avtal.kliniskastudier@skane.se

- For other matters, please contact: Lena.Lindberg@skane.se

Alternate Contact

Swedish National Data Service (SND)
Medicinaregatan 18A
4th floor
413 90 Gothenburg
SWEDEN

Mailing address:
Swedish National Data Service (SND)
P.O. Box 468
405 30 Gothenburg
SWEDEN
Email: snd@gu.se

References of Studies Using/Describing Database

1. Wollmer P, Tufvesson E, Wennersten A, Malmqvist U, Engström G, Olsson HK, Zaigham S, Frantz S, Nihlén U. Within‐session reproducibility of forced oscillometry. Clinical Physiology and Functional Imaging. 2021 Sep;41(5):401-7.

2. Velickovic K, Rahm Hallberg I, Axelsson U, Borrebaeck CA, Rydén L, Johnsson P, Månsson J. Psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) in a non-clinical population in Sweden. Health and quality of life outcomes. 2020 Dec;18(1):1-0.

3. Torngren K, Rylance R, Björk J, Engström G, Frantz S, Marko-Varga G, Melander O, Nihlen U, Olsson H, Planck M, Wennersten A. Association of coronary calcium score with endothelial dysfunction and arterial stiffness. Atherosclerosis. 2020 Nov 1;313:70-5.

4. Axelsson U, Rydén L, Johnsson P, Edén P, Månsson J, Hallberg IR, Borrebaeck CA. A multicenter study investigating the molecular fingerprint of psychological resilience in breast cancer patients: study protocol of the SCAN-B resilience study. BMC cancer. 2018 Dec;18(1):1-7.

5. Gerhardsson de Verdier M. The big three concept: a way to tackle the health care crisis? Proc Am Thorac Soc. 2008 Dec 1;5(8):800-5.

1/29/19: New Genomics database profile has been added

The AACR Project Genomics, Evidence, Neoplasia, Information, Exchange (GENIE) is a multiphase, multi-year, international data-sharing project launched in November 2015. It aims to catalyze precision cancer medicine. The goal of the GENIE platform is to integrate and link clinical-grade cancer genomic data with clinical outcome data for tens of thousands of cancer patients.

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