Use of electronic medical records and biomarkers to manage risk and resource efficiencies

References

• Adler-Milstein, J , Bates, DW. Paperless healthcare: progress and challenges of an IT-enabled healthcare system. Bus Horiz. 2010;53:1–12. ​​​​
   Web of Science ®Google Scholar
• Shea S. The paperless medical record. Sot Sri Med. 1985;21:741–746.
   Web of Science ®Google Scholar
• Steinbrook R. Health care and the American recovery and reinvestment act. N Engl J Med. 2009;360:1057–1060.
   PubMed Web of Science ®Google Scholar
• Silow-Carroll S , Edwards JN , Rodin D . Using electronic health records to improve quality and efficiency: the experiences of leading hospitals. Issue Brief (Commonw Fund). 2012;17:1–40.
   PubMedGoogle Scholar
• Herland K , Akselsen JP , Skjønsberg OH , et al. How representative are clinical study patients with asthma or COPD for a larger “real life” population of patients with obstructive lung disease? Respir Med. 2005;99:11–19.
   PubMed Web of Science ®Google Scholar
• Jones RC , Dickson-Spillmann M , Mather MJ , et al. Accuracy of diagnostic registers and management of chronic obstructive pulmonary disease: the Devon primary care audit. Respir Res. 2008;9:1. ​​​​
   Web of Science ®Google Scholar
• Jones RC , Price D , Ryan D , et al. Opportunities to diagnose chronic obstructive pulmonary disease in routine care in the UK: a retrospective study of a clinical cohort. Lancet Respir Med. 2014;2:267–276. ​​​​
   PubMed Web of Science ®Google Scholar
• Lugtenberg M , Pasveer D , van der Weijden T , et al. Exposure to and experiences with a computerized decision support intervention in primary care: results from a process evaluation. BMC Fam Pract. 2015;16:141.
   Web of Science ®Google Scholar
• Blakey JD , Brown M , Pinchin J , et al. PRO: confronting resistance to rule-based medicine is essential to improving outcomes. Thorax. 2014; 70:110-111. ​​​​
   Web of Science ®Google Scholar
• Belhassen M , Nibber A , Van Ganse E , et al. Inappropriate asthma therapy-a tale of two countries: a parallel population-based cohort study. NPJ Prim Care Respir Med. 2016;26:16076.
   Web of Science ®Google Scholar
• Kerkhof M , Freeman D , Jones R , et al.; Respiratory Effectiveness Group . Predicting frequent COPD exacerbations using primary care data. Int J Chron Obstruct Pulmon Dis. 2015;10:2439–2450. ​​​​
   PubMed Web of Science ®Google Scholar
• Blakey JD , Price DB , Pizzichini E , et al. Identifying risk of future asthma attacks using UK medical record data: a Respiratory Effectiveness Group initiative. J Allergy Clin Immunol Pract. Forthcoming. ​​​​
   Web of Science ®Google Scholar
• Price DB , Rigazio A , Campbell JD , et al. Blood eosinophil count and prospective annual asthma disease burden: a UK cohort study. Lancet Respir Med. 2015;3:849–858.
   PubMed Web of Science ®Google Scholar
• De Geest S , Sabaté E . Adherence to long-term therapies: evidence for action. Eur J of Cardiovasc Nurs. World Health Organization; 2003;2:323–323. ​​​​
   Google Scholar
• Global Strategy for Asthma Management and Prevention, revised 2014 . [ cited 2016 Jun 30. Available from: www.ginasthma.org
   Google Scholar
• National Institute for Health and Care Excellence . Chronic obstructive pulmonary disease in over 16s: diagnosis and management, CG101. 2010 Jun [cited 2016 Jul 27]. Available from: www.nice.org.uk
   Google Scholar
• Vestbo J , Hurd SS , Agusti AG , et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2013;187:347–365.
   PubMed Web of Science ®Google Scholar
• Biomarkers Definition Working Group . Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clin Pharmacol Therapeutics. 2001;69:89–95.
   PubMed Web of Science ®Google Scholar
• Szefler SJ , Wenzel S , Brown R , et al. Asthma outcomes: biomarkers. J Allergy Clin Immunol. 2012 Mar;129(3 Suppl):S9–23.
   PubMed Web of Science ®Google Scholar
• Reddel HK , Taylor DR , Bateman ED , et al. An official American Thoracic Society/European Respiratory Society statement: asthma control and exacerbations: standardizing endpoints for clinical asthma trials and clinical practice. Am J Respir Crit Care Med. 2009;180(1):59–99. Epub 2009/06/19.
   PubMed Web of Science ®Google Scholar
• Pavord ID , Korn S , Howarth P , et al. Mepolizumab for severe eosinophilic asthma (DREAM): a multicentre, double-blind, placebo-controlled trial. Lancet. 2012 Aug;380(9842):651–659.
   PubMed Web of Science ®Google Scholar
• Green RH , Brightling CE , McKenna S , et al. Comparison of asthma treatment given in addition to inhaled corticosteroids on airway inflammation and responsiveness. Eur Respir J. 2006;27:1144–1151.
   PubMed Web of Science ®Google Scholar
• Wagener AH , de Nijs SB , Lutter R , et al. External validation of blood eosinophils, FE(NO) and serum periostin as surrogates for sputum eosinophils in asthma. Thorax. 2015;70:115–120.
   PubMed Web of Science ®Google Scholar
• William J , Anderson PM , Short PA , et al. The inverse agonist propranolol confers no corticosteroid-sparing activity in mild-to-moderate persistent asthma. Clin Sci. 2014;127:635–643.
   Web of Science ®Google Scholar
• White P , Thornton H , Pinnock H , et al. Overtreatment of COPD with inhaled corticosteroids-implications for safety and costs: cross-sectional observational study. PLoS One. 2013;10:e75221. ​​​​
   Web of Science ®Google Scholar
• Magnussen H , Disse B , Rodriguez-Roisin R , et al. Withdrawal of inhaled glucocorticoids and exacerbations of COPD. NEJM. 2014;371:1285–1294.
   PubMed Web of Science ®Google Scholar
• Price D , Yawn B , Brusselle G , et al. Risk-to-benefit ratio of inhaled corticosteroids in patients with COPD. Prim Care Respir J. 2013;22:92–100.
   PubMedGoogle Scholar
• Pascoe S , Locantore N , Dransfield MT , et al. Blood eosinophil counts, exacerbations, and response to the addition of inhaled fluticasone furoate to vilanterol in patients with chronic obstructive pulmonary disease: a secondary analysis of data from two parallel randomised controlled trials. Lancet Respir Med. 2015;3:435–442.
   PubMed Web of Science ®Google Scholar
• Bafadhel M , McKenna S , Terry S , et al. Blood eosinophils to direct corticosteroid treatment of exacerbations of chronic obstructive pulmonary disease: a randomized placebo-controlled trial. Am J Respir Crit Care Med. 2012;186:48–55.
   PubMed Web of Science ®Google Scholar
• Westerhof GA , Korevaar DA , Amelink M , et al. Biomarkers to identify sputum eosinophilia in different adult asthma phenotypes. Eur Respir J. 2015 Jun 25; ERJ-00124. ​​​​
   Web of Science ®Google Scholar
• Price D , Ryan D , Burden A , et al. Using fractional exhaled nitric oxide (FeNO) to diagnose steroid-responsive disease and guide asthma management in routine care. Clin Transl Allergy. 2013;3(1):37.
   Google Scholar
• Bjermer L , Alving K , Diamant Z , et al. Current evidence and future research needs for FeNO measurement in respiratory diseases. Respir Med. 2014;108:830–841.
   PubMed Web of Science ®Google Scholar
• Persson MG , Zetterstrom O , Agrenius V , et al. Single-breath nitric oxide measurements in asthmatic patients and smokers. Lancet. 1994;343:146–147.
   PubMed Web of Science ®Google Scholar
• Honkoop PJ , Loijmans RJ , Termeer EH , et al. Symptom- and fraction of exhaled nitric oxide-driven strategies for asthma control: A cluster-randomized trial in primary care. J Allergy Clin Immunol. 2015;135(3):682–8.e11.
   PubMed Web of Science ®Google Scholar
• Dweik RA , Boggs PB , Erzurum SC , et al. An official ATS clinical practice guideline: interpretation of exhaled nitric oxide levels (FENO) for clinical applications. Am J Respir Crit Care Med. 2011;184:602–615.
   PubMed Web of Science ®Google Scholar
• Schneider A , Wagenpfeil G , Jörres RA , et al. Influence of the practice setting on diagnostic prediction rules using FENO measurement in combination with clinical signs and symptoms of asthma. BMJ open. 2015;5:e009676.
   Web of Science ®Google Scholar
• Petsky HL , Kew KM , Turner C , et al. Exhaled nitric oxide levels to guide treatment for adults with asthma. (Review). Cochrane Database of Systematic Reviews, 2016;9 Art. No.: CD011440.1-Art. No.: CD011440.43. doi:10.1002/14651858.CD011440.pub2 ​​​​
   Web of Science ®Google Scholar
• Petsky HL , Cates CJ , Lasserson TJ , et al. A systematic review and meta-analysis: tailoring asthma treatment on eosinophilic markers (exhaled nitric oxide or sputum eosinophils). Thorax. 2012;67:199–208.
   PubMed Web of Science ®Google Scholar
• Reddel HK , Levy ML ; Global Initiative for Asthma Scientific C, Dissemination, Implementation C . The GINA asthma strategy report: what’s new for primary care? NPJ Prim Care Respir Med. 2015;25:15050.
   PubMed Web of Science ®Google Scholar
• Asthma: diagnosis and monitoring of asthma in adults, children and young people. Interim findings. NICE clinical guidelines (British National Institute for Health and Care Excellence); 2016. Available from: http://www.nice.org.uk/guidance/indevelopment/gid-cgwave0640/documents
   Google Scholar
• Donohue JF , Herje N , Crater G , et al. Characterization of airway inflammation in patients with COPD using fractional exhaled nitric oxide levels: a pilot study. Int J Chron Obstruct Pulmon Dis. 2014;9:745.
   PubMed Web of Science ®Google Scholar
• Smeele I , Barnhoorn MJM , Broekhuizen BDL , et al. NHG-Werkgroep Astma bij volwas- senen en COPD. NHG-Standaard Astma bij volwassenen (derde herzie- ning)[Adult asthma and COPD. 790 NHG Standard Asthma in adults (third revision)]. Huisarts Wet. 2015;58(3):142–154. ​​​​
   Google Scholar
• Bernstein IL , Li JT , Bernstein DI , et al.; American Academy of Allergy, Asthma and Immunology.; American College of Allergy, Asthma and Immunology . Allergy diagnostic testing: an updated practice parameter. Ann Allergy Asthma Immunol. 2008;100(3 Suppl 3):S1–148.
   Web of Science ®Google Scholar
• Roberts G , Ollert M , Aalberse R , et al. A new framework for the interpretation of IgE sensitization tests. Allergy. 2016 May 1;71:1540–1551.
   Web of Science ®Google Scholar
• Price D , Wilson AM , Chisholm A , et al. Predicting frequent asthma exacerbations using blood eosinophil count and other patient data routinely available in clinical practice. J Asthma Allergy. 2016;9:1–12.
   PubMed Web of Science ®Google Scholar
• Kerkhof M , Freeman D , Jones R , et al.; Respiratory Effectiveness Group . Predicting frequent COPD exacerbations using primary care data. Int J Chron Obstruct Pulmon Dis. 2015 Nov; 9(10):2439–2450.
   Google Scholar
• Blakey JD , Price DB , Pizzichini E , et al. Identifying risk of future asthma attacks using 1 UK medical record data: a Respiratory Effectiveness Group initiative. J Allergy Clin Immunol Pract. http://dx.doi.org/10.1016/j.jaip.2016.11.007
   Google Scholar
• Alving K , Malinovschi A . Basic aspects of exhaled nitric oxide. Eur Respir Soc Monogr. 2010;49:1–31.
   Google Scholar
• Burrows B , Hasan FM , Barbee RA , et al. Epidemiologic observations on eosinophilia and its relation to respiratory disorders. Am RevRespir Dis. 1980;122:709–719.
   PubMed Web of Science ®Google Scholar
• Bjornsson E , Janson C , Hakansson L , et al. Serum eosinophil cationic protein in relation to bronchial asthma in a young Swedish population. Allergy. 1994;49:730–736.
   Web of Science ®Google Scholar
• Malinovschi A , Fonseca JA , Jacinto T , et al. Exhaled nitric oxide levels and blood eosinophil counts independently associate with wheeze and asthma events in national health and nutrition examination survey subjects. J Allergy Clin Immunol. 2013;132:821–7.e1–5.
   Web of Science ®Google Scholar
• Humbert M , Beasley R , Ayres J , et al. Benefits of omalizumab as add-on therapy in patients with severe persistent asthma who are inadequately controlled despite best available therapy (GINA 2002 step 4 treatment): INNOVATE. Allergy. 2005;60:309–316.
   PubMed Web of Science ®Google Scholar
• Manga V , Humbert M , Djukanovic R , et al. Blood eosinophils and serum IgE predict response to omalizumab in patients with severe allergic asthma: Innovate trial post-hoc analysis. JACI. 2016 Feb. (AB16) Abs48. Available from: http://www.jacionline.org/article/S0091-6749(15)01793-5/pdf
   Google Scholar
• Tamada T , Sugiura H , Takahashi T , et al. Biomarker-based detection of asthma–COPD overlap syndrome in COPD populations. Int J COPD. 2015;10:2169.
   Google Scholar
• Sin DD , Miravitlles M , Mannino DM , et al. What is asthma− COPD overlap syndrome? Towards a consensus definition from a round table discussion. Eur Respir J. 2016; 48(3): 664–673. ​​​​
   Web of Science ®Google Scholar
• HealthITBuzz Website . EMR vs EHR – what is the difference? 2011 Jan 4 [cited 2016 Nov 2]. Available from: https://www.healthit.gov/buzz-blog/electronic-health-and-medical-records/emr-vs-ehr-difference/
   Google Scholar
• Bousquet J , Schunemann HJ , Fonseca J , et al. MACVIA-ARIA Sentinel Network for allergic rhinitis (MASK-rhinitis): the new generation guideline implementation. Allergy. 2015;70:1372–1392.
   PubMed Web of Science ®Google Scholar
• Westerik JA , Carter V , Chrystyn H , et al. Characteristics of patients making serious inhaler errors with a dry powder inhaler and association with asthma-related events in a primary care setting. J Asthma. 2016;53:321–329.
   PubMed Web of Science ®Google Scholar
• Chisholm A , Price DB , Pinnock H , et al Personalising care of adults with asthma from Asia: a modified e-Dephi consensus study to inform management tailored to attitude and control profiles. NPJ primary care respiratory medicine. 2017;27:16089.
   Google Scholar
• East J , Kennington E , Simpson A , et al. MyAirCoach deliverable D1.2: user requirements, use cases, UCD methodology and final protocols for evaluation studies. Grant Agreement No. 643607, p. 15.
   Google Scholar
• Refractory Asthma Stratification Programme – UK . [ cited 2016 Nov 2]. Available from: http://www.rasp.org.uk
   Google Scholar
• European Commission . Community Research and Development Information Services (CORDIS). [ cited 2016 Nov 5]. Available from: http://cordis.europa.eu/project/rcn/202638_en.html
   Google Scholar
• UK National Health Service . Quality and outcomes framework. [ cited 2016 Nov 2]. Available from: http://qof.digital.nhs.uk
   Google Scholar
• The National Board of Health and Welfare . [ cited 2016 Jan 2]. Available from: http://www.socialstyrelsen.se/English
   Google Scholar
• Chavannes N , Ställberg B , Lisspers K , et al. UNLOCK: uncovering and noting long-term outcomes in COPD to enhance knowledge. Prim Care Respir J. 2010;19:408.
   PubMedGoogle Scholar
• Storm FA , Heller BW , Mazzà C . Step detection and activity recognition accuracy of seven physical activity monitors. PLoS One. 2015 Mar 19;10(3):e0118723.
   PubMed Web of Science ®Google Scholar
• Huckvale K , Morrison C , Ouyang J , et al. The evolution of mobile apps for asthma: an updated systematic assessment of content and tools. BMC Med. 2015;13:58.
   PubMed Web of Science ®Google Scholar
• Matthews-King A . GPs to review 260,000 patients as full scale of CV risk calculator error revealed. Pulse. June 2016; [cited 12 Jan 2017]. Available from: http://www.pulsetoday.co.uk/clinical/cardiovascular/gps-to-review-260000-patients-as-full-scale-of-cv-risk-calculator-error-revealed/20032035
   Google Scholar
• Morton RW , Elphick HE , Rigby AS , et al. STAAR: a randomised controlled trial of electronic adherence monitoring with reminder alarms and feedback to improve clinical outcomes for children with asthma. Thorax. 2016 ​​​​1–8.
   Google Scholar
• NHS England . NHS digital technology: watcher review. [ cited 2017 Jan 12]. Available from: https://www.england.nhs.uk/digitaltechnology/info-revolution/wachter-review/
   Google Scholar
• INTEROPen: INTEROPen: an open collaborative leading healthcare IT interoperability. [ cited 2017 Jan 12]. Available from: http://www.interopen.org
   Google Scholar
• Singh H , Spitzmueller C , Petersen NJ , et al. Information overload and missed test results in electronic health record-based settings. JAMA Intern Med. 2013;173:702–704.
   Web of Science ®Google Scholar