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Acceptance of Technology-Driven Interventions for Improving Medication Adherence

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 759))

Abstract

Medication Adherence (MA) plays an important role in managing patients with long term illness, enhance patient’s health and wellness, and it reduces the economic cost and saves lives. The purpose of this research is to address the collaboration of technology with healthcare, in solving the challenge of medication adherence. A questionnaire of 25 questions was sent out through email to 200 people, to get their feedback about medication adherence, the reasons of non-adherent and their level of acceptance in using the mobile application technology as an interventional tool for medication adherence. Results showed a statistically significant correlation between age and medication adherence (P = 0.012). There is a statistical significant impact of forgetfulness on non-medication adherence (P-value = 0.0003). Additionally, majority of the participants identified their willingness to use the application to help in medication adherence (P = 0.001). The conclusion drawn from this study suggests that people are willing to increase awareness of medication adherence.

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References

  1. Lawton, S.: Childhood atopic eczema: Adherence to treatment. Nurse Prescribing 12, 226–231 (2014). doi:10.12968/npre.2014.12.5.226

    Article  Google Scholar 

  2. Who: Adherence to long-term therapies. Who 1–194 (2003)

    Google Scholar 

  3. Ho, P.M., Bryson, C.L., Rumsfeld, J.S.: Medication adherence: its importance in cardiovascular outcomes. Circulation 119, 3028–3035 (2009). doi:10.1161/CIRCULATIONAHA.108.768986

    Article  Google Scholar 

  4. Cramer, J.A., Mattson, R.H., Prevey, M.L., et al: How often is medication taken as prescribed? A novel assessment technique. JAMA 261, 3273–3277 (1989). doi:10.1016/0959-8049(93)92083-5

  5. Wali, H., Grindrod, K.: Don’t assume the patient understands: qualitative analysis of the challenges low health literate patients face in the pharmacy. Res. Soc. Adm. Pharm (2016). doi:10.1016/j.sapharm.2015.12.003

    Google Scholar 

  6. Ngoh, L.N.: Health literacy: a barrier to pharmacist-patient communication and medication adherence. J. Am. Pharm. Assoc. 49, e132-NaN-e149 (2003, 2009). doi:10.1331/JAPhA.2009.07075

  7. Care Chemist Care chemist launches prescription reminder service to improve medication compliance in New Zealand. https://www.nzdoctor.co.nz/un-doctored/2010/november-2010/11/care-chemist-launches-prescription-reminder-service-to-improve-medication-compliance-in-new-zealand.aspx. Accessed 14 Jun 2017

  8. Michelle, N.: Non-adherence costly for patient health and NZ health system - Pharmacy Today (2013). https://www.pharmacytoday.co.nz/news/2013/february-2013/28/non-adherence-costly-for-patient-health-and-nz-health-system.aspx. Accessed 14 Jun 2017

  9. Atreja, A., Bellam, N., Levy, S.R.: Strategies to enhance patient adherence: making it simple. MedGenMed 7, 4 (2005)

    Google Scholar 

  10. Chen, C., Kehtarnavaz, N., Jafari, R.: A medication adherence monitoring system for pill bottles based on a wearable inertial sensor. In: 2014 36th Annual International Conference IEEE Engineering in Medicine and Biology Society EMBC 2014, vol. 1, pp. 4983–4986 (2014). doi:10.1109/EMBC.2014.6944743

  11. Horne, R., Weinman, J.: Patients’ beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness. J. Psychosom. Res. 47, 555–567 (1999). doi:10.1016/S0022-3999(99)00057-4

    Article  Google Scholar 

  12. Kalantarian, H., Motamed, B., Alshurafa, N., Sarrafzadeh, M.: Evolving classification of intensive care patients from event data. Artif. Intell. Med. 69, 43–52 (2016). doi:10.1016/j.artmed.2016.03.004

    Article  Google Scholar 

  13. Kalantarian, H., Motamed, B., Alshurafa, N., Sarrafzadeh, M.: A wearable sensor system for medication adherence prediction. Artif. Intell. Med. 69, 43–52 (2016). doi:10.1016/j.artmed.2016.03.004

    Article  Google Scholar 

  14. Vervloet, M., Linn, A.J., van Weert, J.C., et al.: The effectiveness of interventions using electronic reminders to improve adherence to chronic medication: a systematic review of the literature. J. Am. Med. Inf. Assoc. 19, 696–704 (2012). doi:10.1136/amiajnl-2011-000748

    Article  Google Scholar 

  15. Shin, J.Y., Habermann, B., Pretzer-Aboff, I.: Challenges and strategies of medication adherence in Parkinson’s disease: a qualitative study. Geriatr. Nurs. (Minneap) 36, 1–5 (2015). doi:10.1016/j.gerinurse.2015.01.003

    Article  Google Scholar 

  16. Lehmann, A., Aslani, P., Ahmed, R., et al.: Assessing medication adherence: Options to consider. Int. J. Clin. Pharm. 36, 55–69 (2014). doi:10.1007/s11096-013-9865-x

    Article  Google Scholar 

  17. Tang, F., Zhu, G., Jiao, Z., et al.: Self-reported adherence in patients with epilepsy who missed their medications and reasons for nonadherence in China. Epilepsy Behav. 27, 85–89 (2013). doi:10.1016/j.yebeh.2012.12.022

    Article  Google Scholar 

  18. Benneyan, J.C., Lloyd, R.C., Plsek, P.E.: Statistical process control as a tool for research and healthcare improvement. Q. Saf. Healcare 12, 458–464 (2003). doi:10.1136/qhc.12.6.458

    Article  Google Scholar 

  19. Statista: Total prescription drug revenue global projection 2016-2022 | Statistic (2016). https://www.statista.com/statistics/309387/global-total-prescription-drug-revenue-projection/. Accessed 27 Feb 2017

  20. PhRMA: Improving Prescription Medicine Adherence. Pharma Adherence Br (2011). doi:10.1177/1545109712437244

  21. Engla, N.E.W.: Perspective. N. Engl. J. 363, 1–3 (2010). doi:10.1056/NEJMp1002530

    Article  Google Scholar 

  22. Prakash, A., Jayaprakash, S., Linus, T., et al.: A review on medication adherence in stroke patients 6, 37–42 (2015)

    Google Scholar 

  23. Prince, M., Patel, V., Saxena, S., et al.: No health without mental health. Lancet 370, 859–877 (2007). doi:10.1016/S0140-6736(07)61238-0

    Article  Google Scholar 

  24. Morisky, D.E., Green, L.W., Levine, D.: Concurrent and predictive validity of a self-reported measure of medication adherence. [Morisky Medication Adherence Scales: MMAS]. Med Care 67–74 (1986). doi:10.1097/00005650-198601000-00007

  25. Billingsley, L., Carruth, A.: Use of technology to promote effective medication adherence. J. Contin. Educ. Nurs. 46, 340–342 (2015). doi:10.3928/00220124-20150721-12

    Article  Google Scholar 

  26. Kalantarian, H., Alshurafa, N., Le, T., Sarrafzadeh, M.: Non-invasive detection of medication adherence using a digital smart necklace. In: 2015 IEEE International Conference on Pervasive Computing and Communications Work PerCom Work 2015, pp. 348–353 (2015). doi:10.1109/PERCOMW.2015.7134061

  27. Buelow, J.M., Smith, M.C.: Medication management by the person with epilepsy: Perception versus reality. Epilepsy Behav. 5, 401–406 (2004). doi:10.1016/j.yebeh.2004.02.002

    Article  Google Scholar 

  28. Kathleen, F., Brenda, M.: Which measure is right for your program? J. Manag. Care Pharm. 6, 499–501 (2000)

    Google Scholar 

  29. Martin, L.R., Williams, S.L., Haskard, K.B., Dimatteo, M.R.: The challenge of patient adherence. Ther. Clin. Risk Manag. 1, 189–199 (2005)

    Google Scholar 

  30. Kalantarian, H., Alshurafa, N., Nemati, E., et al.: A smartwatch-based medication adherence system. In: 2015 IEEE 12th International Conference Wearable Implant Body Sensors Networks, BSN 2015, pp. 1–6 (2015). doi:10.1109/BSN.2015.7299348

  31. Mcdaniel, M.A., Einstein, G.O.: Emerging IT for Medication Adherence, pp. 49–75 (2016)

    Google Scholar 

  32. Bryman, A., Bell, E.: Business Research Methods, 4th edn. Oxford University Press, Oxford (2015)

    Google Scholar 

  33. LLC Q (2017) Qualtrics LLC. https://www.qualtrics.com/lp/apac-ppc-demo-request/?utm_source=google&utm_medium=ppc&utm_campaign=Qualtrics_Brand_(S)_-_APAC&campaignid=790680124&utm_content=&adgroupid=42339957305&utm_keyword=%2Bqualtric&utm_term=%2Bqualtric&matchtype=b&device=c&placemen

  34. Sadler, G.R., Lee, H.-C., Lim, R.S.-H., Fullerton, J.: Research Article: Recruitment of hard-to-reach population subgroups via adaptations of the snowball sampling strategy. Nurs. Health Sci. 12, 369–374 (2010). doi:10.1111/j.1442-2018.2010.00541.x

    Article  Google Scholar 

  35. Williams, G.C., Rodin, G.C., Ryan, R.M., et al.: Autonomous regulation and long-term medication adherence in adult outpatients. Health Psychol. 17, 269–276 (1998). doi:10.1037/0278-6133.17.3.269

    Article  Google Scholar 

  36. Martin, C.A., Upvall, M.J.: A mobile phone HIV medication adherence intervention: acceptability and feasibility study (2016). doi:10.1016/j.jana.2016.07.002

  37. Wade, R., Clancey, B., Michaeli, J.: Improvement in antihypertensive and cholesterol-lowering medication persistence using a mobile technology application. Value Heal 19, A306 (2016). doi:10.1016/j.jval.2016.03.658

    Article  Google Scholar 

  38. Choi, A., Lovett, A.W., Kang, J., et al.: Mobile applications to improve medication adherence: existing apps, quality of life and future directions. Adv. Pharmacol. Pharm. 3, 64–74 (2015). doi:10.13189/app.2015.030302

    Article  Google Scholar 

  39. Gupta, V., Hincapie, A.L., Frausto, S., Bhutada, N.S.: Impact of a web-based intervention on the awareness of medication adherence. Res. Soc. Adm. Pharm. (2015). doi:10.1016/j.sapharm.2015.11.003

    Google Scholar 

  40. Choudhry, N.K., Isaac, T., Lauffenburger, J.C., et al.: Rationale and design of the Study of a Tele-pharmacy Intervention for Chronic diseases to Improve Treatment adherence (STIC2IT): a cluster randomized pragmatic trial. Am. Heart J. (2016). doi:10.1016/j.ahj.2016.07.017

    Google Scholar 

  41. T DJ, Atun, R., Car, J.: Mobile phone messaging for preventive health care (Review) (2012). doi:10.1002/14651858.CD007457. pub2.www.cochranelibrary.com

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Correspondence to Nawal Chanane or Farhaan Mirza .

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Chanane, N., Mirza, F., Naeem, M.A., Mirza, A. (2017). Acceptance of Technology-Driven Interventions for Improving Medication Adherence. In: Doss, R., Piramuthu, S., Zhou, W. (eds) Future Network Systems and Security. FNSS 2017. Communications in Computer and Information Science, vol 759. Springer, Cham. https://doi.org/10.1007/978-3-319-65548-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-65548-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65547-5

  • Online ISBN: 978-3-319-65548-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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