IHI researchers publish extensively across a wide range of academic journals. To stay up to date with our publications please visit the News page and follow us on Twitter @ucl_ihi
Please visithere for a list of IHI publications spanning 2008-2017.
2021
Wood A et al.(2021).Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource.BMJ, 2021;373:n826.
Cohen P, Mayhew J, Gishen F, Potts HWW, Lohr PA, Kavanagh J (2021). What should medical students be taught about abortion? An evaluation of student attitudes towards their abortion teaching and their future involvement in abortion care.BMC Medical Education,21, 4.
Farič N, Smith L, Hon A, Potts HWW, Newby K, Steptoe A, Fisher A.A Virtual Reality Exergame to Engage Adolescents in Physical Activity: Mixed Methods Study Describing the Formative Intervention Development Process.J Med Internet Res 2021;23(2):e18161 Ǿ:
Zhang H, Ferguson A, Robertson G, Jiang M, Zhang T, Sudlow C, Smith K, Rannikmae K,Wu H. Benchmarking network-based gene prioritization methods for cerebral small vessel disease. Accepted by Briefings in Bioinformatics.January 2021.
2020
Banerjee A et al.Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study.The Lancet. 2020. doi: 10.1016/S0140-6736(20)30854-0.
Bell L, Garnett C, Qian T, Perski O, Williamson E, Potts HWW (2020). Engagement with a behavior change app for alcohol reduction: Data visualization for longitudinal observational study. Journal of Medical Internet Research, 22(12), e23369.
Chalaguine LA, Hunter A, Potts H, Hamilton F (2019). Impact of argument type and concerns in argumentation with a chatbot. Proc. 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Portland, OR, USA, pp. 1557-62.
Chung S-C et al. Association between Angiotensin Blockade and Incidence of Influenza in the United Kingdom. N Engl J Med. 2020. May 8. doi: 10.1056/NEJMc2005396
Cresswell K, Sheikh A, Franklin BD, Krasuska M, Nguyen H, Hinder S, Lane W, Mozaffar H, Mason K, Eason S, Potts H, Williams R (2020). Formative independent evaluation of a digital change programme in the English National Health Service: Study protocol for a longitudinal qualitative study. BMJ Open, 10, e041275.
Curcin Vet al. "Special issue on Human Phenomics." Learning Health Systems. 4.4 (2020): Learning Health Systems. , 2020, Vol.4(4). Web.
Fan H et al. Associations between macrolide antibiotics prescribing during pregnancy and adverse child outcomes in the UK: population based cohort study. BMJ2020;368:m331 Ǿ:10.1136/bmj.m331
Härmälä, S., O’Brien, A., Parisinos, C.A. et al. Development and validation of a prediction model to estimate the risk of liver cirrhosis in primary care patients with abnormal liver blood test results: protocol for an electronic health record study in Clinical Practice Research Datalink. Diagn Progn Res 3, 10 (2019).
Lai A et al. Estimating excess mortality in people with cancer and multimorbidity in the COVID-19 emergency.
Katsoulis M et al. Weight change and the incidence of cardiovascular diseases in adults with normal weight, overweight and obesity without chronic diseases; emulating trials using electronic health records.
Krasuska M, Williams R, Sheikh A, Dean Franklin B, Heeney C, Lane W, Mozaffar H, Mason K, Eason S, Hinder S, Dunscombe R, Potts HWW, Cresswell K (2020). Technological capabilities to assess digital excellence in hospitals in high performing health care systems: International eDelphi exercise.Journal of Medical Internet Research,22(8), e17022.
McMichael L, Farič N, Newby K, Potts HWW, Hon A, Smith L, Steptoe A, Fisher A (2020). Parents of adolescents perspectives of physical activity, gaming and virtual reality: Qualitative study.JMIR Serious Games,8(3), e14920.
Rafiq M et al. Allergic disease, corticosteroid use, and risk of Hodgkin lymphoma: A United Kingdom nationwide case-control study.Journal of Allergy and Clinical Immunology. 2020. 145(3): 868–876. doi: 10.1016/j.jaci.2019.10.033
Rockenschaub P et al. Opportunities to reduce antibiotic prescribing for patients with COPD in primary care: a cohort study using electronic health records from the Clinical Practice Research Datalink (CPRD). J Antimicrob Chemother. 2020 Jan 1;75(1):243-251. Ǿ:
Rockenschaub P et al. Data-driven discovery of changes in clinical code usage over time: a case-study on changes in cardiovascular disease recording in two English electronic health records databases (2001–2015). BMJ Open 2020;10:e034396. doi: 10.1136/bmjopen-2019-034396
Waller J, Rubin GJ, Potts HWW, Mottershaw A, Marteau TM (2020). 'Immunity Passports' for SARS-CoV-2: An online experimental study of the impact of antibody test terminology on perceived risk and behaviour.BMJ Open,10, e040448.
Wu H,Zhang H,Karwath A,Ibrahim Z,Ting Shi et al. Ensemble learning for poor prognosis predictions: a case study on SARS-CoV2. (2020)Journal of the American Medical Informatics Association, ocaa295,
- 2019
Aitken M et al. (2019) Consensus Statement on Public Engagement and Involvement with Data-Intensive Health Research. Int J Popul Data Sci 4(1) doi:10.23889/ijpds.v4i1.586
Alexander N et al. Discovering subtypes of Alzheimer’s disease using electronic health records. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2019. 15(7): P485.
Banerjee A et al. Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis.EP Europace, Volume 21, Issue 12, December 2019, Pages 1776–1784
BensonT et al. (2019) Personal Wellbeing Score (PWS)—a short version of ONS4: development and validation in social prescribing. BMJ Open Qual8:e000394.Ǿ:10.1136/bmjoq-2018-000394
Benson T, Potts H, Bark P, Bowman C. (2019) Development and initial testing of a Health Confidence Score (HCS). BMJ Open Quality, 8:e000411. doi: 10.1136/bmjoq-2018-000411
Berbenetz N, et al. (2019) Non-invasive positive pressure ventilation (CPAP or bilevel NPPV) for cardiogenic pulmonary oedema. Cochrane Database Syst Rev. 5;4:CD005351. doi.org/10.1002/14651858.CD005351.pub4
Bromage D et al. Metformin use and cardiovascular outcomes after acute myocardial infarction in patients with type 2 diabetes: a cohort study.Cardiovascular Diabetology, 2019. 18(1): 168. DOI:10.1186/s12933-019-0972-4
Burns R, Pathak N, Campos-Matos I et al. (2019) Million Migrants study of healthcare and mortality outcomes in non-EU migrants and refugees to England: Analysis protocol for a linked population-based cohort study of 1.5 million migrants. Wellcome Open Res 2019, 4(4) doi:10.12688/wellcomeopenres.15007.1. eCollection 2019.
Cieply L, Simmons R, Ijaz S, Kara E, Rodger A, Rosenberg W et al (2019). Seroprevalence of HCV, HBV and HIV in two inner-city London Emergency Departments.Epidemiol and Infect 147, e145.
Denaxas S,Gonzalez-Izquierdo A,Direk K,Fitzpatrick N,Fatemifar G, Banerjee A,Dobson R,Howe L, Kuan V,Lumbers T,Pasea L, Patel R, Shah A, Hingorani A, Sudlow C, and Hemingway H (2019)UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.JAMIAdoi: 10.1093/jamia/ocz105
Denaxas S et al. UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.JAMIA2019DOI: 10.1093/jamia/ocz105
Denaxas S et al. Phenotyping UK Electronic Health Records from 15 Million Individuals for Precision Medicine: The CALIBER Resource. InStudies in Health Technology and Informatics. 2019. 262:220–223. IOS Press. DOI:10.3233/SHTI190058
Denaxas S et al. Analyzing the heterogeneity of rule-based EHR phenotyping algorithms in CALIBER and the UK Biobank. Available as a pre-print at
Dickerman B et al. Avoidable flaws in observational analyses: an application to statins and cancer.Nature Medicine. 2019. Oct;25(10):1601-1606. DOI: 10.1038/s41591-019-0597-x.
Henry A, Katsoulis M, Masi S, Fatemifar G, Denaxas S, Acosta D, Garfield V and Dale C. (2019) The relationship between sleep duration, cognition and dementia: a Mendelian randomization study. International Journal of Epidemiology 48(3) doi: 10.1093/ije/dyz071
Farič N, Yorke E, Varnes L, Newby K, Potts HW, Smith L, Hon A, Steptoe A, Fisher A. (2019) Younger Adolescents’ Perceptions of Physical Activity, Exergaming, and Virtual Reality: Qualitative Intervention Study. JMIR Serious Games 7(2):e11960 DOI: 10.2196/11960
Hargreaves, S., Rustage, K., Nellums, L. B., Mcalpine, A., Pocock, N., Devakumar, D. et al (2019). Occupational health outcomes among international migrant workers : a systematic review and meta-analysis. The Lancet Global Health, (19), 1–11.
Hopkins C et al. Antibiotic usage in chronic rhinosinusitis: analysis of national primary care electronic health records. Rhinology. 2019. 57(6): 420–429.DOI:10.4193/Rhin19.136
Kuan, V., Denaxas, S., Gonzalez-Izquierdo, et al. (2019). A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service. The Lancet Digital Health, 7500(19), 1–15. Doi:10.1016/S2589-7500(19)30012-3
Kuan V et al. A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service.The Lancet Digital Health. 2019. 7500(19), 1–15. DOI:10.1016/S2589-7500(19)30012-3 PMID:
Kunz H et al. Classification of atherothrombotic events in myocardial infarctions survivors with supervised machine learning using data from an electronic health record system. InInternational Conference on Informatics, Management and Technology in Healthcare (ICIMTH), 2019.
Jansen I, Savage J, Watanabe K, Bryois J, Williams D, Steinberg S et al. (2019) Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk. Nat Genet 51:404-413 doi: 10.1038/s41588-018-0311-9.
Jidkov L, Alexander M, Bark P, et al. (2019) Health informatics competencies in postgraduate medical education and training in the UK: a mixed methods study. BMJ Open;9:e025460. doi: 10.1136/bmjopen-2018-025460
Joffe H, Potts H, Rossetto T, Dogulu C, Gul E, Perez-Fuentes (2019). The Fix-it face-to-face intervention increases multihazard household preparedness cross-culturally. Nature Human Behavior, 3, 453-461
Lewis C, Loe BS, Sidey-Gibbons C,Patch C, Chitty LS, Sanderson SC. (2019) Development of a measure of genome sequencing knowledge for young people: The kids-KOGS. Clin Genet. 2019;1–7. Doi:10.1111/cge.13607LEWISET AL.7
Lumbers RT, Martin N, Manoharan K, et al (2019) Do beta-blockers and inhibitors of the renin–angiotensin aldosterone system improve outcomes in patients with heart failure and left ventricular ejection fraction >40%? Heart doi: 10.1136/heartjnl-2018-313855
Malod-Dognin, N., Petschnigg, J., Windels, S. F. L., Povh, J., Hemmingway, H., Ketteler, R., & Pržulj, N. (2019). Towards a data-integrated cell.Nature Communications,10(1).
MarteauT, White M, RutterH,PetticrewM,MyttonO,McGowanJ,AldridgeR (2019) Increasing healthy life expectancy equitably in England by 5 years by 2035: could it be achieved?The Lancet393(10191):2571-2573 . doi:10.1016/S0140-6736(19)31510-7
McCarthy FP et al. Preeclampsia and premature cardiovascular disease in a large UK pregnancy cohort of linked electronic health records: a CALIBER study. Circulation. 2019. Sep 24;140(13):1050-1060. DOI: 10.1161/CIRCULATIONAHA.118.038080. Epub 2019 Sep 23. PMID: 31545680
McLachlan S, Dube K, Johnson O, Buchanan D, Potts HWW, Gallagher T, Fenton N (2019). A framework for analysing learning health systems: Are we removing the most impactful barriers? Learning Health Systems, doi:10.1002/lrh2.10189
Pasea L et al. Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis. BMC medicine. 2019. 17(1): 206. DOI:10.1186/s12916-019-1438-y
Pathak N et al. Validity of using UK primary care electronic health records to study migration and health: a population-based cohort study.The Lancet. 2019. 394: S75. DOI: 10.1016/S0140-6736(19)32872-7
Pikoula M, Quint J K, Nissen F, Hemingway H, Smeeth L, Denaxas S (2019). Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records. BMC Medical Informatics and Decision Making 19:86. doi.org/10.1186/s12911-019-0805-0
Pikoula M et al. Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records.BMC Medical Informatics and Decision Making. 2019. 19:86.DOI:10.1186/s12911-019-0805-0
Rafiq M et al. Socioeconomic deprivation and regional variation in Hodgkins lymphoma incidence in the UK: A population-based cohort study of 10 million individuals. BMJ Open. 2019. DOI:10.1136/bmjopen-2019-029228
Rockenschaub P et al. Antibiotic Prescribing Before and After the Diagnosis of Comorbidity: A Cohort Study Using Primary Care Electronic Health Records. Clin Infect Dis.2019. Oct 21;ciz1016. DOI:10.1093/cid/ciz1016
Roberts A, Potts HWW, Koutoukidis DA, Smith L, Fisher A. (2019) Breast, prostate, and colorectalcancersurvivors'experiencesof usingpubliclyavailable physical activitymobile apps:qualitative study. JMIR Mhealth Uhealth. 7(1):e10918. doi: 10.2196/10918.
Salkind J, Gishen F, Drage G,KavanaghJ and Potts H(2019)LGBT+ Health Teaching within the Undergraduate Medical CurriculumInt. J. Environ. Res. Public Health16(13), 2305; doi.org/10.3390/ijerph16132305
Simpson, CR, Beever D, Challen K, De Angelis D, Fragaszy E, Goodacre S, et al, on behalf of the NIHR hibernated influenza studies collaborative group. The UK’s pandemic influenza research portfolio: a model for future research on emerging infections. Lancet Infect Dis 19(8):295-300 doi.org/10.1016/S1473-3099(18)30786-2
Sinitsky D. et al., 2019 Development of a structured virtual reality curriculum for laparoscopic appendicectomy. The American Journal of Surgery In Press doi.org/10.1016/j.amjsurg.2019.04.020
Shah AD et al. Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death.J Biomed Semantics. 2019. 10(Suppl 1):20. Published 2019 Nov 12. DOI:10.1186/s13326-019-0214-4
Story A, Aldridge RW, Smith CM, Garber E, Hall J, Ferenando G et al. (2019) Smartphone-enabled video observed versus directly observed treatment for tuberculosis: a randomised controlled trial. Lancet 393(10177):1216-1224 doi:10.1016/S0140-6736(18)32993-3.
Stott J,Cadman T, Potts H, Scior K, Brede J, Charlesworth G. (2019) Thought–feeling discrimination in people with dementia: adaptation and preliminary validation of the first dementia-specific measure. International PsychogeriatricsǾ:10.1017/S1041610219000322
Uijl A et al. Risk factors for incident heart failure in age‐ and sex‐specific strata: a population‐based cohort using linked electronic health records. European Journal of Heart Failure. 2019. DOI: 10.1002/ejhf.1350. PMID:
Uijl A Koudstaal S, Direk K, Denaxas S, Groenwold RHH, Banerjee A et al. Risk factors for incident heart failure in age and sex specific strata: a population-based cohort using linked electronic health records. Eur JHeartFail.2019 Jan 7. doi: 10.1002/ejhf.1350.
Unwin E, Woolf K, Dacre J, Potts HWW (2019). Sex differences in fitness to practise test scores: A cohort study of GPs.British Journal of General Practice, online first. doi: 10.3399/bjgp19X701789
Williams V, LaFlamme-Williams Y, McNee K, Morgan H, Morrison Z, Potts HWW, Shaw D, Siriwardena N, Snook H, Spaight R, Porter A (2019). Implementation of electronic patient clinical records in ambulances in the UK: A national survey. Emerg Med J, 36(Suppl 1), e7-e8. doi: 10.1136/emermed-2019-999.18
Williamson E et al. Risk of mortality and cardiovascular events following macrolide prescription in chronic rhinosinusitis patients: a cohort study using linked primary care electronic health records. Rhinology. 2019. 57(4): 252–260. DOI:10.4193/Rhin18.237
Wilman H, Parisinos A, Atabaki-Pasdar N, Kelly M, Thomas L,Neubauer S. (2019) Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration.Journal of Hepatologydoi.org/10.1016/j.jhep.2019.05.032
Woolf K, Jayaweera H, Unwin E, Keshwani K, Valerio C, Potts H (2019). Effect of sex on specialty training application outcomes: A longitudinal administrative data study of UK medical graduates. BMJ Open, 9, e025004. doi:10.1136/bmjopen-2018-025004
- 2018
Abubakar I, Aldridge RW, Devakumar D, Orcutt M, Burns R, Barreto ML, et al. The UCL-Lancet Commission on Migration and Health: the health of a world on the move. Lancet 2018; Dec 15; 392(10164):2606-2654. doi: 10.1016/S0140-6736(18)32114-7.
Aisyah, DN, Shallcross, L, Hully, AJ, O'Brien, A, Hayward, A. J Viral Hepat 2018; 18 Jan. doi: 10.1111/jvh.12866. [Epub ahead of print]
Aisyah DN, Shallcross L, Hayward A, Aldridge RW, Hemming S, Yates S et al. Hepatitis C among vulnerable populations: A seroprevalence study of homeless, people who inject drugs and prisoners in London. J Viral Hepat 2018; May 31. doi: 10.1111/jvh.12936. [Epub ahead of print]
Aldridge, R, Hayward, A, Hemming, S, Yates, S, Ferenando, G, Possas, L et al. Thorax, published online 29 Jan 2018. doi:10.1136/thoraxjnl-2016-209579
Aldridge RW, Nellums LB, Bartlett S, Barr AL, Patel P, Burns R et al. Global patterns of mortality in international migrants: a systematic review and meta-analysis. Lancet. Published 5 Dec 2018. doi: 10.1016/S0140-6736(18)32781-8
Archangelidi O, Pujades-Rodriguez M, Timmis A, Jouven X, Denaxas S, Hemingway H. Clinically recorded heart rate and incidence of 12 coronary, cardiac, cerebrovascular diseases and mortality in 233,970 men and women: A linked electronic health record study. Eur J Prev Cardiol2018; 25(14):1485-1495. doi: 10.1177/2047487318785228.
Bandopadhyay S, Murthy GVS, Prabhakaran D, Taylor P, Banerjee A. India and the United Kingdom—What big data health research can do for a country? Learning Health Systems. 2018. Published online: 18 November 2018
Banerjee A. There may be a role for addition of rivaroxaban to aspirin in patients with stable coronary artery disease. BMJ Evid Based Med. 2018; Aug 28. pii: bmjebm-2018-110900. doi: 10.1136/bmjebm-2018-110900. [Epub ahead of print]
Banerjee A, Drumright L, Mitchell AR. Can the NHS be a learning healthcare system in the age of digital technology? 2018;23(5):161-165. doi: 10.1136/bmjebm-2018-110953. Epub2018Jun 29.Bark P, Barnard ML, Davidson C, Potts H. The long-term impact of a Diabetes Self-Management Programme: Semi-structured interviews of patients' experience. Diabet Med 2018; 35(S1), 134. doi:10.1111/dme.33_13571
Barnard ML, Davidson C, Bark P, Potts HWW. Improving glycaemic control and patient activation with a Diabetes Self-Management Programme. Diabet Med 2018; 35(S1), 132. doi:10.1111/dme.33_13571.
Bean DM, H Wu, E Iqbal, O Dzahini, ZM Ibrahim, M Broadbent et al. Author Correction. Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records. Sci Rep 2018; 8 (1), 4284.
Bebb OJ, Hall M, Dondo T, Goodman SG, Yan A, Bueno H et al. Guideline-indicated treatments and diagnostics, GRACE risk score and survival for non-ST elevation myocardial infarction. Eur Heart J 2018 Nov 7; 39(42):3798-3806. doi: 10.1093/eurheartj/ehy51
Benjamin K, Potts HWW. Digital transformation in government: Lessons for digital health? Digit Health 2018; 3:1-5. doi: 10.1177/2055207618759168
Blackburn, RM, Zhao, H, Pebody, R, Hayward, AC, Warren-Gash, C. Clin Infect Dis 2018; 67 (1) 8-17. doi: 10.1093/cid/cix1144
Blackburn, R, Osborn, D, Walters, K, Nazareth I, Petersen I. Statin prescribing for prevention of cardiovascular disease amongst people with severe mental illness: cohort study in UK primary care. Schizophr Res 2018; 192, 219-225. doi: 10.1016/j.schres.2017.05.028
Blackburn, R M, Herbert, A, Wijlaars, L, Gilbert, R. Trends in hospital admissions for nonfatal adversity-related injury among youths in England, 2002-2016. JAMA Pediatr 2018; doi:10.1001/jamapediatrics.2018.2516
Blencowe, H, Kancherla, V, Moorthie, S, Darlison, MW, Modell, B. Ann N Y Acad Sci 2018; 1414(1): 31-46. doi: 10.1111/nyas.13548
Blencowe H, Moorthie S, Petrou M, Hamamy H, Povey S, Bittles A, Gibbons S, Darlison M. Rare single gene disorders: estimating baseline prevalence and outcomes worldwide. J Community Genet 2018; 9(4): 397–406
Blencowe, H, Moorthie, S, Darlison, MW, Gibbons, S, Modell, B, Congenital Disorders Expert Group. Methods to estimate access to care and the effect of interventions on the outcomes of congenital disorders. J Community Genet 2018. .
Bos I, Vos S, Vandenberghe R, Scheltens P, Engelborghs S, Frisoni G et al. The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics. Alzheimers Res Ther 2018; 10 (1), 64.
Bray B, Paley L, Hoffman A, James M, Gompertz P, Wolfe C et al. Socioeconomic disparities in first stroke incidence, quality of care and survival: a nationwide registry based cohort study of 44 million adults in England. Lancet Public Health 2018 Apr; 3(4):e185-e193. doi: 10.1016/S2468-2667(18)30030-6.
Burns R, Wickramage K, Musah A, Siriwardhana C, Checchi F. Health status of returning refugees, internally displaced persons, and the host community in a post-conflict district in northern Sri Lanka: a cross-sectional survey. Confl Health, published on 1 Oct 2018. doi:10.1186/s13031-018-0176-7
Carbajosa G, Malki K, Lawless N, Wang H, Ryder JW, Wozniak E et al. Loss of Trem2 in microglia leads to widespread disruption of cell coexpression networks in mouse brain. Neurobiol Aging 2018; 69, 151-166
Chalaguine LA, Hamilton FL, Hunter A, Potts HWW. Argument harvesting using chatbots. In: Computational Models of Argument – Proc. of COMMA 2018, Frontiers in Artificial Intelligence and Applications 2018; 305, 149-60. doi:10.3233/978-1-61499-906-5-149.
Chung SC, Pujades-Rodriguez M, Duyx B, Denaxas SC, Pasea L, Hingorani A et al. Time spent at blood pressure target and the risk of death and cardiovascular diseases. PLoS One 2018; September 5. doi: 10.1371/journal.pone.0202359
Chung R, Ghosh AK, Banerjee A. Cardiotoxicity: precision medicine with imprecise definitions. Open Heart 2018 Jul 25; 5(2):e000774. doi: 10.1136/openhrt-2018-000774.
Cornes M, Whiteford M, Manthorpe J, Neale J, Byng R, Hewett N et al. Improving hospital discharge arrangements for people who are homeless: A realist synthesis of the intermediate care literature. Health Soc Care Community 2018; 26 (3), e345-e359
Cowey A, Potts HWW. What can we learn from second generation digital natives? A qualitative study of undergraduates' views of digital health in a London university. Digit Health 2018; 4. doi:10.1177/2055207618788156Cramer H, Hughes J, Johnson R, Evans M, Deaton C, Timmis A et al. ‘Who does this patient belong to?’ boundary work and the re/making of (NSTEMI) heart attack patients. Sociol Health Illn 2018 (published online 28 June 2018); doi: 10.1111/1467-9566.12778.
Denniston AK, Lee AY, Lee CS, Crabb DP, Bi W, Bailey C et al. United KingdomDiabeticRetinopathy Electronic Medical Record (UK DR EMR) Users Group: report 4,real-worlddataon theimpactofdeprivationon thepresentationofdiabeticeyedisease athospitalservices. 2018 Sep 29. pii: bjophthalmol-2018-312568. doi: 10.1136/bjophthalmol-2018-312568. [Epub ahead of print]
Fellmeth G, Rose-Clarke K, Zhao C, Busert LK, Zheng Y, Massazza A et al. Health impacts of parental migration on left-behind children and adolescents: a systematic review and meta-analysis. Lancet. Published 5 Dec 2018. doi: 10.1016/S0140-6736(18)32558-3
Fragaszy EB, Warren-Gash C, White PJ, Zambon M, Edmunds WJ, Nguyen-Van-Tam JS et al. Effects of seasonal and pandemic influenza on health-related quality of life, work and school absence in England: Results from the Flu Watch cohort study. Influenza Other Respir Viruses. 2018 Jan; 12(1):171-182. doi: 10.1111/irv.12506.
GBD 2016 Healthcare Access and Quality Collaborators. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016. Lancet 2018 Jun 2; 391(10136):2236-2271.
GBD 2017 SDG Collaborators. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018 Nov 10; 392(10159):2091-2138. doi: 10.1016/S0140-6736(18)32281-5.
Gho J, Schmidt A, Pasea L, Koudstaal S, Pujades Rodriguez M, Denaxas S et al. An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors. BMJ Open 2018; 8(3):e018331 03 Mar 2018
Hall M, Dondo TB, Andrew Yan A, Mamas A Mamas MA, Timmis AD, Deanfield JE et al. PLoS Med 2018 Mar 6;15(3):e1002501. doi: 10.1371/journal.pmed.1002501.
Hall M, Bebb OJ, Dondo T, Yan AT, Goodman SG, Bueno H et al. Guideline-indicated treatments and diagnostics, GRACE risk score and survival for non-ST elevation myocardial infarction. Eur Heart J 2018. doi: 10.1093/eurheartj/ehy517
Harmala S, Parisinos C, O’Brien A, Shallcross L, Hayward A. Effectiveness of pneumococcal and influenza vaccines to prevent serious health complications in adults with chronic liver disease: a protocol for a systematic review. BMJ Open 2018; published online 16 Mar 2018. doi: 10.1136/bmjopen-2017-018223
Harris S, Shi S, Brealey D, MacCallum NS, Denaxas S, Perez-Suarez D et al. Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database. Int J Med Inform 2018; 112:82–89
Harrison SC, Holmes MV, Burgess S, Asselbergs FW et al. Genetic Association of Lipids and Lipid Drug Targets With Abdominal Aortic Aneurysm: A Meta-analysis. JAMA Cardiol 2018; 3(1):26-33. Epub ahead of print. doi: 10.1001/jamacardio.2017.4293.
Hooper R, Forbes A, Hemming K, Takeda A, Beresford L. Analysis of cluster randomised trials with an assessment of outcome at baseline. BMJ 2018; 360. doi: 10.1136/bmj.k1121 (Published 20 March 2018).
Iacoangeli A, Al Khleifat A, Sproviero W, Shatunov A, Jones AR, ...ALS geneScanner: a pipeline for the analysis and interpretation of DNA NGS data of ALS patients. bioRxiv, 378158.
Iniesta R, Hodgson K, Stahl D, Malki K, Maier W, Rietschel M et al. Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables.Sci Rep 2018;8(1), 5530.
Inouye M, Abraham G, Nelson CP, Wood AM, Sweeting MJ, Dudbridge F et al. Genomic Risk Prediction of Coronary Artery Disease in nearly 480,000 Adults: Implications for Primary Prevention. J Am Coll Cardiol 2018; 72(16):1883-1893.
Jackson R, Kartoglu, IE, Agrawal A, Lui, K, Wu H et al. CogStack-experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. 2018 Jun 25; 18(1):47. doi: 10.1186/s12911-018-0623-9.
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