Cross Fact Pharmacy Claims Database (Japan)

Database Contact Data

Email: irw-info@intage.com

Alternate Contact

N/A

References of Studies Using/Describing Database

1.  Ushida T, Yokoyama M, Shiosakai K, Saito K, Ibe S, Okuizumi K. A large-scale database study for the prescription status of a new voltage-gated Ca2+ channel α2δ ligand, mirogabalin, in Japan. Expert Opin Pharmacother. 2022;23(2):273-283.

2.  Maeda T, Hattori A, Yamamoto J, Tsunekawa K, Ibe S, Kinoshita F. Prescribing Patterns for Anti-Parkinsonian Drugs in Japan: Prescription-Based Database Study. Brain Nerve. 2021;73(3):273-281.

3. Mabuchi T, Hosomi K, Yokoyama S, Takada M. Polypharmacy in elderly patients in Japan: Analysis of Japanese real-world databases. J Clin Pharm Ther. 2020;45(5):991-996. 

4. Ushida T, Matsui D, Inoue T, Yokoyama M, Takatsuna H, Matsumoto T, Takita A, Kurusu T, Sakoda H, Okuizumi K. Recent prescription status of oral analgesics in Japan in real-world clinical settings: retrospective study using a large-scale prescription database. Expert Opin Pharmacother. 2019;20(16):2041-2052.

5. Takada M, Fujimoto M, Hosomi K. Association between Benzodiazepine Use and Dementia: Data Mining of Different Medical Databases. Int J Med Sci. 2016;13(11): 825–834.

6. Takada M, Fujimoto M, Yamazaki K, Takamoto M, Hosomi K. Association of statin use with sleep disturbances: data mining of a spontaneous reporting database and a prescription database. Drug Saf. 2014 Aug;37(8):653.

7. Tanaka I, Sato M, Sugihara T, Faries DE, Nojiri S, Graham-Clarke P, et al. Adherence and Persistence with Once-Daily Teriparatide in Japan: A Retrospective, Prescription Database, Cohort Study, J Osteoporos. 2013;2013:654218.

8. Sato D, Sato Y, Masuda S, Kimura H. Effects of a Sitagliptin Safety Alert on Prescription Behaviour for Oral Antihyperglycaemic Drugs: A Propensity Score-Matched Cohort Study of Prescription Receipt Data in Japan. DrugSaf. 2013;36(8):605-15.

9. Sato D, Sato Y, Masuda S, Kimura H. Impact of the sitagliptin alert on prescription of oral antihyperglycemic drugs in Japan. Int J Clin Pharm. 2012;34(6):917-24.

Icelandic Register of Nursing Home Pre-Admission Assessments (Iceland)

Database Contact Data

Sigríður Haralds Elínardóttir
Head of Division, Health Information
Directorate of Health
Katrínartún 2 
IS – 105 Reykjavík
ICELAND
Phone: +354 510 1900
Email: sigridur.haraldsd.elinardottir@landlaeknir.is

Alternate Contact

Andrea Gerdur Dofradottir 
Project Manager, Division of Health Information
Directorate of Health
Katrínartún 2 
IS – 105 Reykjavík
ICELAND
Phone: +354 510 1900
Email: andrea.g.dofradottir@landlaeknir.is

References of Studies Using/Describing Database

1. Sigurdardottir AS, Geirsdottir OG, Arnadottir IB, Ramel A. [Oral health problems in nursing homes, revision of oral health care delivery is needed]. Laeknabladid. 2022 Jul;108(7-08):338-345.

2. Sigurdardottir AS, Geirsdottir OG, Ramel A, Arnadottir IB. Cross-sectional study of oral health care service, oral health beliefs and oral health care education of caregivers in nursing homes. Geriatr Nurs. 2022 Jan-Feb;43:138-145.

3. Sigurdardottir AS. Geriatric oral health. Quality of life and oral care in Icelandic nursing homes [dissertation]. University of Iceland; 2022.

4. Gunnarsdottir TJ, Vilhjalmsson R, Hjaltadottir I. Use of complementary therapies in nursing homes: Descriptive study. Complement Ther Clin Pract. 2018 Aug;32:65-69.

5. Emilsdóttir AL, Gústafsdóttir M. End of life in an Icelandic nursing home: an ethnographic study. Int J Palliat Nurs. 2011 Aug;17(8):405-11.

7. Hjaltadóttir I, Hallberg IR, Ekwall AK, Nyberg P. Predicting mortality of residents at admission to nursing home: a longitudinal cohort study. BMC Health Serv Res. 2011 Apr 20;11:86.

6. Jónsson A, Bernhöft I, Bernhardsson K, Jónsson PV. [Retrospective analysis of health variables in a Reykjavík nursing home 1983-2002 (corrected)]. Laeknabladid. 2005 Feb;91(2):153-160.

8. Kjartansson H, Jonsson PV. [Psychotropic use in nursing and residential homes in the Greater Reykjavík area in 1996.]. Laeknabladid. 1999 Sep;85(9):681-90. Icelandic.

9. Ribbe MW, Ljunggren G, Steel K, Topinková E, Hawes C, Ikegami N, Henrard JC, Jónnson PV. Nursing homes in 10 nations: a comparison between countries and settings. Age Ageing. 1997 Sep;26 Suppl 2:3-12.

Note: There are some publications based on this register on waiting time for nursing homes but they are all in Icelandic.  For example -  https://www.landlaeknir.is/tolfraedi-og-rannsoknir/tolfraedi/heilbrigdisthjonusta/hjukrunar-og-dvalarrymi/

UK Renal Registry (UKRR) (United Kingdom)

Database Contact Data

Dr. Retha Steenkamp
Head of Operations
UK Renal Registry
Brandon House, Building 20a1
Southmead Road
Bristol BS34 7RR
UNITED KINGDOM
Email: retha.steenkamp@renalregistry.nhs.uk

Alternate Contact

Fran Benoy-Deeney
Data Manager Lead
UK Renal Registry
Brandon House, Building 20a1
Southmead Road
Bristol BS34 7RR
UNITED KINGDOM
Email:  fran.benoy-deeney@ukkidney.org

2. You may also complete a CONTACT form at https://ukkidney.org/contact-us

References of Studies Using/Describing Database

1. Plumb L, Steenkamp R, Hamilton AJ, Maxwell H, Inward CD, Marks SD, Nitsch D. The spectrum of co-existing disease in children with established kidney failure using registry and linked electronic health record data. Pediatr Nephrol. 2024 Aug 8. doi: 10.1007/s00467-024-06470-x. Epub ahead of print.

2. Aylward R, Casula A, Tiffin N, Ben-Shlomo Y, Rayner B, Birnie K, Caskey FJ. Consistency of alerts generated by, and implementation of, the NHS England acute kidney injury detection algorithm in English laboratories. J Nephrol. 2024 Aug 4. doi: 10.1007/s40620-024-02030-6. Epub ahead of print.

3. Damery S, Lambie M, Williams I, Coyle D, Fotheringham J, Solis-Trapala I, Allen K, Potts J, Dikomitis L, Davies SJ. Centre variation in home dialysis uptake: A survey of kidney centre practice in relation to home dialysis organisation and delivery in England. Perit Dial Int. 2024 Jul;44(4):265-274.

4. Wong K, Pitcher D, Braddon F, Downward L, Steenkamp R, Masoud S, Annear N, Barratt J, Bingham C, Coward RJ, Chrysochou T, Game D, Griffin S, Hall M, Johnson S, Kanigicherla D, Karet Frankl F, Kavanagh D, Kerecuk L, Maher ER, Moochhala S, Pinney J, Sayer JA, Simms R, Sinha S, Srivastava S, Tam FWK, Thomas K, Turner AN, Walsh SB, Waters A, Wilson P, Wong E, Sy KTL, Huang K, Ye J, Nitsch D, Saleem M, Bockenhauer D, Bramham K, Gale DP; RaDaR consortium. Description and Cross-Sectional Analyses of 25,880 Adults and Children in the UK National Registry of Rare Kidney Diseases Cohort. Kidney Int Rep. 2024 May 9;9(7):2067-2083.

5. Santhakumaran S, Fisher L, Zheng B, Mahalingasivam V, Plumb L, Parker EP, Steenkamp R, Morton C, Mehrkar A, Bacon S, Lyon S, Konstant-Hambling R, Goldacre B, MacKenna B, Tomlinson LA, Nitsch D. Identification of patients undergoing chronic kidney replacement therapy in primary and secondary care data: validation study based on OpenSAFELY and UK Renal Registry. BMJ Med. 2024 Apr 18;3(1):e000807.

6. Hajat S, Casula A, Murage P, Omoyeni D, Gray T, Plummer Z, Steenkamp R, Nitsch D. Ambient heat and acute kidney injury: case-crossover analysis of 1 354 675 automated e-alert episodes linked to high-resolution climate data. Lancet Planet Health. 2024 Mar;8(3):e156-e162.

7. Graham-Brown MPM, Casula A, Savino M, Humphrey T, Pyart R, Amaran M, Williams J, Crowe K, Medcalf JF; NEPHwork consortium collaborators. All involved in data collection and or local project setup and supervision. A National audit of the care of patients with acute kidney injury in England and Wales in 2019 and the association with patient outcomes. Clin Med (Lond). 2024 Mar;24(2):100028. 

8. Birnie K, Tomson C, Caskey FJ, Ben-Shlomo Y, Nitsch D, Casula A, Murray EJ, Sterne JAC. Comparative Effectiveness of Dynamic Treatment Strategies for Medication Use and Dosage: Emulating a Target Trial Using Observational Data. Epidemiology. 2023 Nov 1;34(6):879-887.

9. Taal MW, Lucas B, Roderick P, Cockwell P, Wheeler DC, Saleem MA, Fraser SDS, Banks RE, Johnson T, Hale LJ, Andag U, Skroblin P, Bayerlova M, Unwin R, Vuilleumier N, Dusaulcy R, Robertson F, Colby E, Pitcher D, Braddon F, Benavente M, Davies E, Nation M, Kalra PA. Associations with age and glomerular filtration rate in a referred population with chronic kidney disease: methods and baseline data from a UK multicentre cohort study (NURTuRE-CKD). Nephrol Dial Transplant. 2023 Oct 31;38(11):2617-2626.

10. Santhakumaran S, Savino M, Benoy-Deeney F, Steenkamp R, Medcalf J, Nitsch D. What data collection methods work best for COVID19 outbreak surveillance for people with end stage kidney disease? An observational cohort study using the UK Renal Registry. BMC Nephrol. 2023 May 8;24(1):130.
 

Cross Fact Health Insurance Claims Database (Japan)

Database Contact Data

Email: irw-info@intage.com

Alternate Contact

N/A

References of Studies Using/Describing Database

1. Machida T, Obara T, Miyazaki M, Inoue J, Mano N. Trends in drug prescriptions for type 2 diabetes, hypertension, and dyslipidemia among adults with non-alcoholic fatty liver disease. Ann Hepatol. 2022;27(4):100699.

2. Hozawa S, Maeda S, Kikuchi A, Koinuma M. Exploratory research on asthma exacerbation risk factors using the Japanese claims database and machine learning: a retrospective cohort study. J Asthma. 2022;59(7):1328-1337.

3. Maeda S, Kobayashi S, Takahashi K, Miyata S. Association of comorbidities and medications with risk of asthma exacerbation in pediatric patients: a retrospective study using Japanese claims data. Sci Rep. 2022;12(1):5509.

4. Yokoyama A, Okazaki H, Makita N, Fukui A, Piao Y, Arita Y, Itoh Y, Tashiro N. Regional differences in the incidence of asthma exacerbations in Japan: A heat map analysis of healthcare insurance claims data. Allergol Int. 2022;71(1):47-54.

5. Kubota K, Kelly T, Sato T, Pratt N, Roughead E, Yamaguchi T. A novel weighting method to remove bias from within-subject exposure dependency in case-crossover studies. BMC Med Res Methodol. 2021;21(1):214.

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