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Medication Adherence and Monitoring

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Developing Drug Products in an Aging Society

Part of the book series: AAPS Advances in the Pharmaceutical Sciences Series ((AAPS,volume 26))

Abstract

Non-adherence to a drug therapy is often the reason for not achieving the therapeutic goals in patients. Thus, measuring and monitoring drug adherence is an important aspect to understand patients’ adherence patterns and behavior as well as to provide supportive measures to enhance or reestablish adherence to a prescribed regimen. A variety of different Adherence Measurement and Monitoring Systems (AMS) exist although there is no single AMS or method considered to be the gold standard today. These range from simple Apps that issue alerts and reminders to patients up to AMS that facilitate automated, telemedical interactions between the physician and the patient to initiate corrective interventions by making use of a variety of data sources. When applied to patients with several morbidities, co-morbidities, and disabilities appropriate AMS still remain a challenge.

I often say that when you can measure what you are speaking about, and express it in numbers, you know something about it; (Lord Kelvin)

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Notes

  1. 1.

    www.gopubmed.org, last accessed 7.7.2015.

References

  1. Stegemann S, Baeyens J-P, Cerreta F, Chanie E, Lofgren A, Maio M, et al. Adherence measurement systems and technology for medications in older patient populations. Eur Geriatr Med. 2012;3:254–60.

    Google Scholar 

  2. Burkhart PV, Sabaté E. Adherence to long-term therapies: evidence for action. J Nurs Scholarsh. 2003;35.

    Google Scholar 

  3. Hahn S, Stefan H, Abderhalden C, Needham I, Schulz M, Schoppmann S. Leadership auf Interventionsebene - Adhärenz als pflegerische Vision,” ed: Leadership in der psychiatrischen Pflege. Eine Herausforderung für Praxis -Management – Ausbildung – Forschung- Politik Hrsg, 2009. p. 303–26.

    Google Scholar 

  4. Vrijens B, Vincze G, Kristanto P, Urquhart J, Burnier M. Adherence to prescribed antihypertensive drug treatments: longitudinal study of electronically compiled dosing histories. BMJ. 2008;336:1114–7.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Brown MT, Bussell JK. Medication adherence: WHO cares? Mayo Clinic Proc. 2011;86.

    Google Scholar 

  6. Cramer J, Mattson A, Prevey M, Scheyer R, Ouellette VL. How often is medication taken as prescribed? A novel assessment technique. JAMA. 1989;261:3273–7.

    Google Scholar 

  7. Vrijens B, Goetghebeur E. Comparing compliance patterns between randomized treatments. Control Clin Trials. 1997;18:187–203.

    Google Scholar 

  8. Diaz E, Levine HB, Sullivan MC, Sernyak MJ, Hawkins KA, Cramer JA, et al. Use of the medication event monitoring system to estimate medication compliance in patients with schizophrenia. J Psychiatry Neurosci. 2001;26:325–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  9. van den Boogaard J, Lyimo RA, Boeree MJ, Kibiki GS, Aarnoutse RE. Electronic monitoring of treatment adherence and validation of alternative adherence measures in tuberculosis patients: a pilot study. Bull World Health Organ. 2011;89:632–9.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Urquhart J. Role of patient compliance in clinical pharmacokinetics. A review of recent research. Clin Pharmacokinet. 1994;27:202–15.

    Article  CAS  PubMed  Google Scholar 

  11. Meredith PA, Elliott HL. Therapeutic coverage: reducing the risks of partial compliance. Br J Clin Pract Suppl. 1994;73.

    Google Scholar 

  12. Detry JMR. Patient compliance and therapeutic coverage—amlodipine versus nifedipine sr in the treatment of hypertension and angina—interim results. Clin Cardiol. 1994;17:12–6.

    Article  Google Scholar 

  13. Gomes MD, Maia HD, Noe RAM. Anti-epileptic drug intake adherence—the value of the blood drug level measurement and the clinical approach. Arq Neuropsiquiatr. 1998;56:708–13.

    Article  Google Scholar 

  14. Vrijens B, Tousset E, Gaillard P, Metry J, Urquhart J. Major features of dose omissions in 87 ambulatory drug trials. Clin Pharmacol Ther. 2005;77:P99.

    Article  Google Scholar 

  15. Gabr WM, Shams MEE. Adherence to medication among outpatient adolescents with epilepsy. Saudi Pharmaceutical Journal. 2015;23:33–40.

    Article  PubMed  Google Scholar 

  16. Pedersini R, Vietri J. Comparison of the 4-item and 8-item morisky medication adherence scale in patients with type 2 diabetes. Value in Health. 2014;17:A183.

    Article  Google Scholar 

  17. Walsh JC, Mandalia S, Gazzard BG. Responses to a 1 month self-report on adherence to antiretroviral therapy are consistent with electronic data and virological treatment outcome. Aids. 2002;16:269–77.

    Article  PubMed  Google Scholar 

  18. Aitken RC. Measurement of feelings using visual analogue scales, vol. 62, p. 989–993; 1969.

    Google Scholar 

  19. Aitken RC. Measurement of feelings using visual analogue scales. Proc R Soc Med. 1969;62:989–93.

    Google Scholar 

  20. Marzluf BA, Reichardt B, Neuhofer LM, Kogler B, Wolzt M. Influence of drug adherence and medical care on heart failure outcome in the primary care setting in Austria. Pharmacoepidemiol Drug Saf. 2015;24:722–30.

    Article  CAS  PubMed  Google Scholar 

  21. Kastner P, Morak J, Modre R, Kollmann A, Ebner C, Fruhwald FM, et al. Innovative telemonitoring system for cardiology: from science to routine operation. Appl Clinic Inf. 2010;1:165–76.

    Google Scholar 

  22. Sauter S, Rinner C, Neuhofer L, Edlinger D, Grossmann W, Wolzt M, et al. Secondary use of Austrian health claims data to explore adverse drug events. Stud Health Technol Inform. 2015;210:946.

    Google Scholar 

  23. Schreier G, Schwarz M, Modre-Osprian R, Kastner P, Scherr D, Fruhwald F, et al. Design and evaluation of a multimodal mHealth based medication management system for patient self administration. In: 35th annual international conference of the IEEE-engineering-in-medicine-and-biology-society (EMBC), Osaka, JAPAN. 2013, p. 7270–3.

    Google Scholar 

  24. Wiegratz I, Elliesen J, Paoletti AM, Walzer A, Kirsch B. Adherence with ethinylestradiol 20 μg/drospirenone 3 mg in a flexible extended regimen supported by the use of a digital tablet dispenser with or without acoustic alarm: an open-label, randomized, multicenter study. Int J Womens Health. 2015;7:19–29.

    Google Scholar 

  25. Brath H, Morak J, Kaestenbauer T, Modre-Osprian R, Strohner-Kaestenbauer H, Schwarz M, et al. Mobile health (mHealth) based medication adherence measurement - a pilot trial using electronic blisters in diabetes patients. Br J Clin Pharmacol. 2013;76:47–55.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Kreiner K, Morak J, Pinsker M, Edegger K, Schreier G. Feasibility of a mobile anticoagulation telemedicine system using automated decision support. Stud Health Technol Inf. 2010;161:86–94 (Global Telehealth).

    Google Scholar 

  27. van Onzenoort H, Neef C, Verberk W, van Iperen H, de Leeuw P, van der Kuy P. Determining the feasibility of objective adherence measurement with blister packaging smart technology. Am J Health Syst Pharm. 2012.

    Google Scholar 

  28. Ammouri S, Bilodeau G-A, Society IC. Face and hands detection and tracking applied to the monitoring of medication intake. In: Proceedings of the fifth Canadian conference on computer and robot vision. 2008. p. 147–54.

    Google Scholar 

  29. Huynh HH, Meunier J, Sequeira J, Daniel M. Real time detection, tracking and recognition of medication intake. World Acad Sci Eng Technol. 2009;3:8.

    Google Scholar 

  30. Huo X, Ghovanloo M. A wireless pharmaceutical compliance monitoring system based on magneto-inductive sensors. IEEE Sens J. 2007;7:1711–9.

    Google Scholar 

  31. Hafezi H, Robertson TL, Moon GD, Au-Yeung KY, Zdeblick MJ, Savage GM. An ingestible sensor for measuring medication adherence. IEEE Trans Biomed Eng. 2015;62:99–109.

    Article  PubMed  Google Scholar 

  32. Eisenberger U, Wuethrich RP, Bock A, Ambuehl P, Steiger J, Intondi A, et al. Medication adherence assessment: high accuracy of the new ingestible sensor system in kidney transplants. Transplantation. 2013;96:245–50.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Liao P, Klasnja P, Tewari A, Murphy SA. Micro-randomized trials in mHealth. Department of Statistics, University ofMichigan, Ann Arbor, MI 48109, 2015. p. 27.

    Google Scholar 

  34. Hameed AS, Sauermann S, Schreier G. The impact of adherence on costs and effectiveness of telemedical patient management in heart failure. A systematic review. Appl Clinic Inf. 2014;5:612–20.

    Google Scholar 

  35. Schreier G. The internet of things for personalized health. Stud Health Technol Inform. 2014;200:22–31.

    PubMed  Google Scholar 

  36. Want R, Schilit BN, Jenson S. Enabling the internet of things. Computer. 2015;48:28–35.

    Article  Google Scholar 

  37. Morak J, Kumpusch H, Hayn D, Modre-Osprian R, Schreier G. Design and evaluation of a telemonitoring concept based on NFC-enabled mobile phones and sensor devices. IEEE Trans Inf Technol Biomed. 2012;16:17–23.

    Google Scholar 

  38. Morak J. Keep in touch (KIT)—an mHealth concept for patient-centered telehealth services, Doctoral Thesis, Graz University of Technology; 2013.

    Google Scholar 

  39. Brath H, Morak J, Kästenbauer T, Modre-Osprian R, Strohner-Kästenbauer H, Schwarz M, et al. Mobile health (mHealth) based medication adherence measurement - a pilot trial using electronic blisters in diabetes patients. Br J Clin Pharmacol. 2013;76(Suppl 1):47–55.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Morak J, Schwarz M, Hayn D, Schreier G. Feasibility of mHealth and near field communication technology based medication adherence monitoring. Conf Proc IEEE Eng Med Biol Soc. 2012:272–5.

    Google Scholar 

  41. Kreiner K, Morak J, Pinsker M, Edegger K, Schreier G. Feasibility of a mobile anticoagulation telemedicine system using automated decision support. Stud Health Technol Inform. 2010;86–94.

    Google Scholar 

  42. Schreier G, Eckmann H, Hayn D, Kreiner K, Kastner P, Lovell N. Web versus app: compliance of patients in a telehealth diabetes management programme using two different technologies. J Telemed Telecare. 2012;18:476–80.

    Article  PubMed  Google Scholar 

  43. Schwarz M, Modre-Osprian R, Scherr D, Fruhwald F, Schreier G. Adoka: prototype of a NFC-based mobile drug—documentation—assistant. Ehealth2013: Health Informatics Meets Ehealth - Von Der Wissenschaft Zur Anwendung Und Zuruck: Big Data - Ehealth Von Der Datenanalyse Bis Zum Wissensmanagement, 2013. p. 155–66.

    Google Scholar 

  44. Granger BB, Sandelowski M, Tahshjain H, Swedberg K, Ekman I. A qualitative descriptive study of the work of adherence to a chronic heart failure regimen: patient and physician perspectives. J Cardiovasc Nurs. 2009;24:308–15.

    Google Scholar 

  45. Gell NM, Rosenberg DE, Demiris G, LaCroix AZ, Patel KV. Patterns of technology use among older adults with and without disabilities. Gerontologist. 2015;55:412–21.

    Article  PubMed  Google Scholar 

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Author information

Authors and Affiliations

  1. Digital Safety and Security Department, AIT Austrian Institute of Technology GmbH, Reininghausstraße 13/1, 8020, Graz, Austria

    Hubert Ebner & Günter Schreier

  2. Institute for Neural Engineering, Graz University of Technology, Stremayrgasse 16/IV, 8010, Graz, Austria

    Hubert Ebner & Günter Schreier

Authors
  1. Hubert Ebner
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  2. Günter Schreier
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Correspondence to Günter Schreier .

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Editors and Affiliations

  1. Graz University of Technology, Graz, Austria

    Sven Stegemann

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Ebner, H., Schreier, G. (2016). Medication Adherence and Monitoring. In: Stegemann, S. (eds) Developing Drug Products in an Aging Society. AAPS Advances in the Pharmaceutical Sciences Series, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-319-43099-7_31

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