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Results: 1 to 20 of 22

Cited In for PubMed (Select 21219160)

1.

Novel use of three administrative datasets to establish a cohort for environmental health research.

Telfar Barnard LF, Baker MG, Hales S, Howden-Chapman P.

BMC Public Health. 2015 Mar 14;15:246. doi: 10.1186/s12889-015-1580-1.

2.

Improving accuracy of International Classification of Diseases codes for venous thromboembolism in administrative data.

Sanfilippo KM, Wang TF, Gage BF, Liu W, Carson KR.

Thromb Res. 2015 Apr;135(4):616-20. doi: 10.1016/j.thromres.2015.01.012. Epub 2015 Jan 14.

PMID:
25613924
3.

Data resource profile: Pathways to Health and Social Equity for Children (PATHS Equity for Children).

Nickel NC, Chateau DG, Martens PJ, Brownell MD, Katz A, Burland EM, Walld R, Hu M, Taylor CR, Sarkar J, Goh CY; PATHS Equity Team.

Int J Epidemiol. 2014 Oct;43(5):1438-49. doi: 10.1093/ije/dyu190. Epub 2014 Sep 11.

4.

Use of state administrative data sources to study adolescents and young adults with rare conditions.

Royer JA, Hardin JW, McDermott S, Ouyang L, Mann JR, Ozturk OD, Bolen J.

J Gen Intern Med. 2014 Aug;29 Suppl 3:S732-8. doi: 10.1007/s11606-014-2925-7.

PMID:
25029984
5.

The promise of record linkage for assessing the uptake of health services in resource constrained settings: a pilot study from South Africa.

Kabudula CW, Clark BD, Gómez-Olivé FX, Tollman S, Menken J, Reniers G.

BMC Med Res Methodol. 2014 May 24;14:71. doi: 10.1186/1471-2288-14-71.

6.

Asthma and chronic obstructive pulmonary disease (COPD) prevalence and health services use in Ontario Métis: a population-based cohort study.

Gershon AS, Khan S, Klein-Geltink J, Wilton D, To T, Crighton EJ, Pigeau L, Macquarrie J, Allard Y, Russell SJ, Henry DA.

PLoS One. 2014 Apr 23;9(4):e95899. doi: 10.1371/journal.pone.0095899. eCollection 2014.

7.

Technical challenges of providing record linkage services for research.

Boyd JH, Randall SM, Ferrante AM, Bauer JK, Brown AP, Semmens JB.

BMC Med Inform Decis Mak. 2014 Mar 31;14:23. doi: 10.1186/1472-6947-14-23.

8.

Evaluating bias due to data linkage error in electronic healthcare records.

Harron K, Wade A, Gilbert R, Muller-Pebody B, Goldstein H.

BMC Med Res Methodol. 2014 Mar 5;14:36. doi: 10.1186/1471-2288-14-36.

9.

Survival of offspring who experience early parental death: early life conditions and later-life mortality.

Smith KR, Hanson HA, Norton MC, Hollingshaus MS, Mineau GP.

Soc Sci Med. 2014 Oct;119:180-90. doi: 10.1016/j.socscimed.2013.11.054. Epub 2014 Jan 8.

PMID:
24530028
10.

Study of risk factors for gastric cancer by populational databases analysis.

Ferrari F, Reis MA.

World J Gastroenterol. 2013 Dec 28;19(48):9383-91. doi: 10.3748/wjg.v19.i48.9383.

11.

Independent roles of country of birth and socioeconomic status in the occurrence of type 2 diabetes.

Shamshirgaran SM, Jorm L, Bambrick H, Hennessy A.

BMC Public Health. 2013 Dec 23;13:1223. doi: 10.1186/1471-2458-13-1223.

12.

Privacy preserving interactive record linkage (PPIRL).

Kum HC, Krishnamurthy A, Machanavajjhala A, Reiter MK, Ahalt S.

J Am Med Inform Assoc. 2014 Mar-Apr;21(2):212-20. doi: 10.1136/amiajnl-2013-002165. Epub 2013 Nov 7. Review.

13.

Systematic review and meta-analysis of validation studies on a diabetes case definition from health administrative records.

Leong A, Dasgupta K, Bernatsky S, Lacaille D, Avina-Zubieta A, Rahme E.

PLoS One. 2013 Oct 9;8(10):e75256. doi: 10.1371/journal.pone.0075256. eCollection 2013. Review.

14.

Evaluation of paediatric nursing-sensitive outcomes in an Australian population using linked administrative hospital data.

Wilson S, Bremner AP, Hauck Y, Finn J.

BMC Health Serv Res. 2013 Oct 8;13:396. doi: 10.1186/1472-6963-13-396.

15.

Linking Canadian population health data: maximizing the potential of cohort and administrative data.

Doiron D, Raina P, Fortier I; Linkage Between Cohorts and Health Care Utilization Data: Meeting of Canadian Stakeholders workshop participants.

Can J Public Health. 2013 Mar 6;104(3):e258-61.

16.

Chronic disease prevalence from Italian administrative databases in the VALORE project: a validation through comparison of population estimates with general practice databases and national survey.

Gini R, Francesconi P, Mazzaglia G, Cricelli I, Pasqua A, Gallina P, Brugaletta S, Donato D, Donatini A, Marini A, Zocchetti C, Cricelli C, Damiani G, Bellentani M, Sturkenboom MC, Schuemie MJ.

BMC Public Health. 2013 Jan 9;13:15. doi: 10.1186/1471-2458-13-15.

17.

Jurisdictional, socioeconomic and gender inequalities in child health and development: analysis of a national census of 5-year-olds in Australia.

Brinkman SA, Gialamas A, Rahman A, Mittinty MN, Gregory TA, Silburn S, Goldfeld S, Zubrick SR, Carr V, Janus M, Hertzman C, Lynch JW.

BMJ Open. 2012 Sep 4;2(5). pii: e001075. doi: 10.1136/bmjopen-2012-001075. Print 2012.

18.
19.

Identifying paediatric nursing-sensitive outcomes in linked administrative health data.

Wilson S, Bremner AP, Hauck Y, Finn J.

BMC Health Serv Res. 2012 Jul 20;12:209. doi: 10.1186/1472-6963-12-209.

20.

'The influence of gestational age and socioeconomic status on neonatal outcomes in late preterm and early term gestation: a population based study'.

Ruth CA, Roos N, Hildes-Ripstein E, Brownell M.

BMC Pregnancy Childbirth. 2012 Jun 29;12:62. doi: 10.1186/1471-2393-12-62.

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