Real-World Dispensing Patterns of Inhalation Medication in Young Adult Asthma: An Inception Cohort Study

References

• GBD 2019 Diseases and Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the global burden of disease study 2019. Lancet. 2020;396(10258):1204–1222. doi:10.1016/s0140-6736(20)30925-9
   PubMed Web of Science ®Google Scholar
• Mims JW. Asthma: definitions and pathophysiology. Int Forum Allergy Rhinol. 2015;5(1):S2–6. doi:10.1002/alr.21609
   PubMedGoogle Scholar
• Baiardini I, Braido F, Brandi S, et al. The impact of GINA suggested drugs for the treatment of asthma on health-related quality of life: a GA(2)LEN review. Allergy. 2008;63(8):1015–1030. doi:10.1111/j.1398-9995.2008.01823.x
   PubMed Web of Science ®Google Scholar
• Global Initiative for Asthma. Global strategy for asthma management and prevention; 2022. Available from: www.ginasthma.org. Accessed June 8, 2023.
   Google Scholar
• Aarnio E, Huupponen R, Martikainen JE, Korhonen MJ. First insight to the Finnish nationwide electronic prescription database as a data source for pharmacoepidemiology research. Res Social Adm Pharm. 2020;16(4):553–559. doi:10.1016/j.sapharm.2019.06.012
   PubMed Web of Science ®Google Scholar
• Ankrah D, Hallas J, Odei J, Asenso-Boadi F, Dsane-Selby L, Donneyong M. A review of the Ghana national health insurance scheme claims database: possibilities and limits for drug utilization research. Basic Clin Pharmacol Toxicol. 2019;124(1):18–27. doi:10.1111/bcpt.13136
   PubMed Web of Science ®Google Scholar
• Backer V, Lykkegaard J, Bodtger U, Agertoft L, Korshoej L, Braüner EV. The Danish national database for asthma. Clin Epidemiol. 2016;8:601–606. doi:10.2147/clep.S99494
   PubMed Web of Science ®Google Scholar
• Lin LY, Warren-Gash C, Smeeth L, Chen PC. Data resource profile: the national health insurance research database (NHIRD). Epidemiol Health. 2018;40:e2018062. doi:10.4178/epih.e2018062
   PubMed Web of Science ®Google Scholar
• Furu K, Skurtveit S, Langhammer A, Nafstad P. Use of anti-asthmatic medications as a proxy for prevalence of asthma in children and adolescents in Norway: a nationwide prescription database analysis. Eur J Clin Pharmacol. 2007;63(7):693–698. doi:10.1007/s00228-007-0301-9
   PubMed Web of Science ®Google Scholar
• Choi JY, Yoon HK, Lee JH, et al. Current status of asthma care in South Korea: nationwide the health insurance review and assessment service database. J Thorac Dis. 2017;9(9):3208–3214. doi:10.21037/jtd.2017.08.109
   PubMed Web of Science ®Google Scholar
• Putman B, Coucke L, Vanoverschelde A, Mehuys E, Lahousse L. Community pharmacist counseling improves adherence and asthma control: a nationwide study. BMC Health Serv Res. 2022;22(1):112. doi:10.1186/s12913-022-07518-0
   PubMed Web of Science ®Google Scholar
• van Boven JFM, Koponen M, Lalic S, et al. Trajectory analyses of adherence patterns in a real-life moderate to severe asthma population. J Allergy Clin Immunol Pract. 2020;8(6):1961–1969.e6. doi:10.1016/j.jaip.2019.12.002
   PubMed Web of Science ®Google Scholar
• Hassan M, Davies SE, Trethewey SP, Mansur AH. Prevalence and predictors of adherence to controller therapy in adult patients with severe/difficult-to-treat asthma: a systematic review and meta-analysis. J Asthma. 2020;57(12):1379–1388. doi:10.1080/02770903.2019.1645169
   PubMed Web of Science ®Google Scholar
• Bårnes CB, Ulrik CS. Asthma and adherence to inhaled corticosteroids: current status and future perspectives. Respir Care. 2015;60(3):455–468. doi:10.4187/respcare.03200
   PubMed Web of Science ®Google Scholar
• Grymonpre R, Cheang M, Fraser M, Metge C, Sitar DS. Validity of a prescription claims database to estimate medication adherence in older persons. Med Care. 2006;44(5):471–477. doi:10.1097/01.mlr.0000207817.32496.cb
   PubMed Web of Science ®Google Scholar
• Bottema JW, Broekhuizen L, Chavannes NH, et al. NHG-Standaard Asthma bij volwassenen (M27); 2022.
   Google Scholar
• Swihart BJ, Caffo B, James BD, Strand M, Schwartz BS, Punjabi NM. Lasagna plots: a saucy alternative to spaghetti plots. Epidemiology. 2010;21(5):621–625. doi:10.1097/EDE.0b013e3181e5b06a
   PubMed Web of Science ®Google Scholar
• Visser ST, Schuiling-Veninga CC, Bos JH, de Jong-van den Berg LT, Postma MJ. The population-based prescription database IADB.nl: its development, usefulness in outcomes research and challenges. Expert Rev Pharmacoecon Outcomes Res. 2013;13(3):285–292. doi:10.1586/erp.13.20
   PubMed Web of Science ®Google Scholar
• Sediq R, van der Schans J, Dotinga A, et al. Concordance assessment of self-reported medication use in the Netherlands three-generation Lifelines Cohort study with the pharmacy database iaDB.nl: the PharmLines initiative. Clin Epidemiol. 2018;10:981–989. doi:10.2147/clep.S163037
   PubMed Web of Science ®Google Scholar
• Bijlsma MJ, Janssen F, Hak E. Estimating time-varying drug adherence using electronic records: extending the proportion of days covered (PDC) method. Pharmacoepidemiol Drug Saf. 2016;25(3):325–332. doi:10.1002/pds.3935
   PubMed Web of Science ®Google Scholar
• Gayle A, Tebboth A, Pang M, et al. Real-life prescribing of asthmatic treatments in UK general practice over time using 2014 BTS/SIGN steps. NPJ Prim Care Respir Med. 2019;29(1):25. doi:10.1038/s41533-019-0137-7
   PubMedGoogle Scholar
• Baldacci S, Simoni M, Maio S, et al. Prescriptive adherence to GINA guidelines and asthma control: an Italian cross sectional study in general practice. Respir Med. 2019;146:10–17. doi:10.1016/j.rmed.2018.11.001
   PubMed Web of Science ®Google Scholar
• Bloom CI, Nissen F, Douglas IJ, Smeeth L, Cullinan P, Quint JK. Exacerbation risk and characterisation of the UK’s asthma population from infants to old age. Thorax. 2018;73(4):313–320. doi:10.1136/thoraxjnl-2017-210650
   PubMed Web of Science ®Google Scholar
• Covvey JR, Johnston BF, Wood F, Boyter AC. Is the BTS/SIGN guideline confusing? A retrospective database analysis of asthma therapy. Prim Care Respir J. 2013;22(3):290–295. doi:10.4104/pcrj.2013.00060
   PubMedGoogle Scholar
• Neville RG, Pearson MG, Richards N, et al. A cost analysis on the pattern of asthma prescribing in the UK. Eur Respir J. 1999;14(3):605–609. doi:10.1034/j.1399-3003.1999.14c20.x
   PubMed Web of Science ®Google Scholar
• Tibble H, Sheikh A, Tsanas A. Derivation of asthma severity from electronic prescription records using British thoracic society treatment steps. BMC Pulm Med. 2022;22(1):397. doi:10.1186/s12890-022-02189-3
   PubMed Web of Science ®Google Scholar
• Terl M, Pohunek P, Kuhn M, Bystron J. Four seasons of Czech asthma study: asthma characteristics and management reality in the Czech Republic. J Asthma. 2020;57(8):898–910. doi:10.1080/02770903.2019.1619082
   PubMed Web of Science ®Google Scholar
• Dilokthornsakul P, Thompson AM, Campbell JD. Treatment patterns and related clinical consequences in adults with asthma. J Asthma. 2019;56(7):739–747. doi:10.1080/02770903.2018.1490749
   PubMed Web of Science ®Google Scholar
• Lugogo N, Gilbert I, Tkacz J, Gandhi H, Goshi N, Lanz MJ. Real-world patterns and implications of short-acting β(2)-agonist use in patients with asthma in the United States. Ann Allergy Asthma Immunol. 2021;126(6):681–689.e1. doi:10.1016/j.anai.2021.01.024
   PubMed Web of Science ®Google Scholar
• Raebel MA, Schmittdiel J, Karter AJ, Konieczny JL, Steiner JF. Standardizing terminology and definitions of medication adherence and persistence in research employing electronic databases. Med Care. 2013;51(8 Suppl 3):S11–21. doi:10.1097/MLR.0b013e31829b1d2a
   PubMed Web of Science ®Google Scholar
• Steiner JF. Measuring adherence with medications: time is of the essence. Pharmacoepidemiol Drug Saf. 2016;25(3):333–335. doi:10.1002/pds.3932
   PubMed Web of Science ®Google Scholar
• Otto E, Culakova E, Meng S, et al. Overview of Sankey flow diagrams: focusing on symptom trajectories in older adults with advanced cancer. J Geriatr Oncol. 2022;13(5):742–746. doi:10.1016/j.jgo.2021.12.017
   PubMed Web of Science ®Google Scholar
• Bousquet J. Global initiative for asthma (GINA) and its objectives. Clin Exp Allergy. 2000;30(1):2–5. doi:10.1046/j.1365-2222.2000.00088.x
   PubMedGoogle Scholar
• Reddel HK, FitzGerald JM, Bateman ED, et al. GINA 2019: a fundamental change in asthma management. Treatment of asthma with short-acting bronchodilators alone is no longer recommended for adults and adolescents. Europ Res J. 2019;53(6):1901046. doi:10.1183/13993003.01046-2019
   PubMed Web of Science ®Google Scholar
• Reddel HK, Levy ML. The GINA asthma strategy report: what’s new for primary care? NPJ Prim Care Respir Med. 2015;25:15050. doi:10.1038/npjpcrm.2015.50
   PubMed Web of Science ®Google Scholar
• Labaki WW, Rosenberg SR. Chronic obstructive pulmonary disease. Ann Intern Med. 2020;173(3):Itc17–itc32. doi:10.7326/aitc202008040
   PubMed Web of Science ®Google Scholar
• Arai Y, Okuyama K, Onishi Y, Schelfhout J, Tokita S, Kubo T. Clinical characteristics and drug utilisation patterns in patients with chronic cough: a retrospective cohort study using a Japanese claims database. BMC Pulm Med. 2022;22(1):429. doi:10.1186/s12890-022-02180-y
   PubMed Web of Science ®Google Scholar
• Trivedi M, Denton E. Asthma in children and adults-what are the differences and what can they tell us about asthma? Front Pediatr. 2019;7:256. doi:10.3389/fped.2019.00256
   PubMed Web of Science ®Google Scholar
• Silverstein MD, Reed CE, O’Connell EJ, Melton LJ 3rd, O’Fallon WM, Yunginger JW. Long-term survival of a cohort of community residents with asthma. N Engl J Med. 1994;331(23):1537–1541. doi:10.1056/nejm199412083312301
   PubMed Web of Science ®Google Scholar