These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
205 related articles for article (PubMed ID: 28056955)
1. Development of an algorithm for determining smoking status and behaviour over the life course from UK electronic primary care records. Atkinson MD; Kennedy JI; John A; Lewis KE; Lyons RA; Brophy ST; BMC Med Inform Decis Mak; 2017 Jan; 17(1):2. PubMed ID: 28056955 [TBL] [Abstract][Full Text] [Related]
2. Case-finding for common mental disorders of anxiety and depression in primary care: an external validation of routinely collected data. John A; McGregor J; Fone D; Dunstan F; Cornish R; Lyons RA; Lloyd KR BMC Med Inform Decis Mak; 2016 Mar; 16():35. PubMed ID: 26979325 [TBL] [Abstract][Full Text] [Related]
3. Smoker, ex-smoker or non-smoker? The validity of routinely recorded smoking status in UK primary care: a cross-sectional study. Marston L; Carpenter JR; Walters KR; Morris RW; Nazareth I; White IR; Petersen I BMJ Open; 2014 Apr; 4(4):e004958. PubMed ID: 24760355 [TBL] [Abstract][Full Text] [Related]
4. Methods to improve the quality of smoking records in a primary care EMR database: exploring multiple imputation and pattern-matching algorithms. Garies S; Cummings M; Quan H; McBrien K; Drummond N; Manca D; Williamson T BMC Med Inform Decis Mak; 2020 Mar; 20(1):56. PubMed ID: 32171301 [TBL] [Abstract][Full Text] [Related]
5. Validating epilepsy diagnoses in routinely collected data. Fonferko-Shadrach B; Lacey AS; White CP; Powell HWR; Sawhney IMS; Lyons RA; Smith PEM; Kerr MP; Rees MI; Pickrell WO Seizure; 2017 Nov; 52():195-198. PubMed ID: 29059611 [TBL] [Abstract][Full Text] [Related]
6. Measuring follow-up time in routinely-collected health datasets: Challenges and solutions. Thayer D; Rees A; Kennedy J; Collins H; Harris D; Halcox J; Ruschetti L; Noyce R; Brooks C PLoS One; 2020; 15(2):e0228545. PubMed ID: 32045428 [TBL] [Abstract][Full Text] [Related]
7. Children and young people's body mass index measures derived from routine data sources: A national data linkage study in Wales. Griffiths LJ; Rafferty J; Fry R; Daniels H; Dezateux C; Firman N; Pouliou T; Stratton G; Mizen A; Lyons RA; Watkins A; Davies J; Bailey R PLoS One; 2024; 19(5):e0300221. PubMed ID: 38728312 [TBL] [Abstract][Full Text] [Related]
8. Socioeconomic variations in access to smoking cessation interventions in UK primary care: insights using the Mosaic classification in a large dataset of primary care records. Douglas L; Szatkowski L BMC Public Health; 2013 Jun; 13():546. PubMed ID: 23738743 [TBL] [Abstract][Full Text] [Related]
9. Cohort profile: HealthWise Wales. A research register and population health data platform with linkage to National Health Service data sets in Wales. Hurt L; Ashfield-Watt P; Townson J; Heslop L; Copeland L; Atkinson MD; Horton J; Paranjothy S BMJ Open; 2019 Dec; 9(12):e031705. PubMed ID: 31796481 [TBL] [Abstract][Full Text] [Related]
10. The SAIL databank: linking multiple health and social care datasets. Lyons RA; Jones KH; John G; Brooks CJ; Verplancke JP; Ford DV; Brown G; Leake K BMC Med Inform Decis Mak; 2009 Jan; 9():3. PubMed ID: 19149883 [TBL] [Abstract][Full Text] [Related]
11. Utility of linking primary care electronic medical records with Canadian census data to study the determinants of chronic disease: an example based on socioeconomic status and obesity. Biro S; Williamson T; Leggett JA; Barber D; Morkem R; Moore K; Belanger P; Mosley B; Janssen I BMC Med Inform Decis Mak; 2016 Mar; 16():32. PubMed ID: 26969124 [TBL] [Abstract][Full Text] [Related]
12. Data resource: Children receiving care and support and children in need, administrative records in Wales. Lee A; Elliott M; Scourfield J; Bedston S; Broadhust K; Ford DV; Griffiths LJ Int J Popul Data Sci; 2022; 7(1):1694. PubMed ID: 35719716 [TBL] [Abstract][Full Text] [Related]
13. Associations between multimorbidity and adverse health outcomes in UK Biobank and the SAIL Databank: A comparison of longitudinal cohort studies. Hanlon P; Jani BD; Nicholl B; Lewsey J; McAllister DA; Mair FS PLoS Med; 2022 Mar; 19(3):e1003931. PubMed ID: 35255092 [TBL] [Abstract][Full Text] [Related]
14. Validity of smoking prevalence estimates from primary care electronic health records compared with national population survey data for England, 2007 to 2011. Booth HP; Prevost AT; Gulliford MC Pharmacoepidemiol Drug Saf; 2013 Dec; 22(12):1357-61. PubMed ID: 24243711 [TBL] [Abstract][Full Text] [Related]
15. Effectiveness and cost-effectiveness of computer and other electronic aids for smoking cessation: a systematic review and network meta-analysis. Chen YF; Madan J; Welton N; Yahaya I; Aveyard P; Bauld L; Wang D; Fry-Smith A; Munafò MR Health Technol Assess; 2012; 16(38):1-205, iii-v. PubMed ID: 23046909 [TBL] [Abstract][Full Text] [Related]
16. A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: overview, recruitment and linkage. Lloyd K; McGregor J; John A; Craddock N; Walters JT; Linden D; Jones I; Bentall R; Lyons RA; Ford DV; Owen MJ Schizophr Res; 2015 Aug; 166(1-3):131-6. PubMed ID: 26139629 [TBL] [Abstract][Full Text] [Related]
17. The delivery of smoking cessation interventions to primary care patients with mental health problems. Szatkowski L; McNeill A Addiction; 2013 Aug; 108(8):1487-94. PubMed ID: 23534846 [TBL] [Abstract][Full Text] [Related]
18. Insights into social disparities in smoking prevalence using Mosaic, a novel measure of socioeconomic status: an analysis using a large primary care dataset. Sharma A; Lewis S; Szatkowski L BMC Public Health; 2010 Dec; 10():755. PubMed ID: 21138555 [TBL] [Abstract][Full Text] [Related]
19. Deriving household composition using population-scale electronic health record data-A reproducible methodology. Johnson RD; Griffiths LJ; Hollinghurst JP; Akbari A; Lee A; Thompson DA; Lyons RA; Fry R PLoS One; 2021; 16(3):e0248195. PubMed ID: 33780469 [TBL] [Abstract][Full Text] [Related]
20. Cohort profile: Born in Wales-a birth cohort with maternity, parental and child data linkage for life course research in Wales, UK. Jones H; Seaborne MJ; Kennedy NL; James M; Dredge S; Bandyopadhyay A; Battaglia A; Davies S; Brophy S BMJ Open; 2024 Jan; 14(1):e076711. PubMed ID: 38238056 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]