Automated telecommunication-based reminders and adherence with once-daily glaucoma medication dosing: The automated dosing reminder study

JAMA Ophthalmology

Volumn 132, Issue 7, 2014, Pages 845-850

  Boland, Michael V ^a,b   Chang, Dolly S ^a   Frazier, Travis ^c   Plyler, Ryan ^d   Jefferys, Joan L ^a   Friedman, David S ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c MADIGAN ARMY MEDICAL CENTER   (United States)

^d GEORGETOWN UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROSTAGLANDIN;

ADULT; AGED; ARTICLE; AUTOMATION; COHORT ANALYSIS; CONTROLLED STUDY; ELECTRONIC MEDICAL RECORD; FEMALE; FOLLOW UP; GLAUCOMA; HUMAN; INTENTION TO TREAT ANALYSIS; INTERACTIVE VOICE RESPONSE SYSTEM; MAJOR CLINICAL STUDY; MALE; MEDICATION COMPLIANCE; MINI MENTAL STATE EXAMINATION; PATIENT COMPLIANCE; PRIORITY JOURNAL; PROSPECTIVE STUDY; REMINDER SYSTEM; RISK FACTOR; TELECOMMUNICATION;

ADMINISTRATION, TOPICAL; AGED; ANTIHYPERTENSIVE AGENTS; COHORT STUDIES; DRUG MONITORING; FEMALE; GLAUCOMA; HUMANS; INTRAOCULAR PRESSURE; MALE; MEDICAL RECORD LINKAGE; MEDICATION ADHERENCE; MIDDLE AGED; OPHTHALMIC SOLUTIONS; PROSPECTIVE STUDIES; REMINDER SYSTEMS; TELECOMMUNICATIONS;

EID: 84904213755     PISSN: 21686165     EISSN: None     Source Type: Journal    
DOI: 10.1001/jamaophthalmol.2014.857     Document Type: Article

References (21)

1. Tsai JC, McClure CA, Ramos SE, Schlundt DG, Pichert JW. Compliance barriers in glaucoma: a systematic classification. J Glaucoma. 2003;12(5):393-398. (Pubitemid 37237370)
2. Lacey J, Cate H, Broadway DC. Barriers to adherence with glaucoma medications: a qualitative research study. Eye (Lond). 2009;23(4):924-932.
3. Gray TA, Orton LC, Henson D, Harper R, Waterman H. Interventions for improving adherence to ocular hypotensive therapy. Cochrane Database Syst Rev. 2009;(2):CD006132. doi:10.1002/14651858.CD006132.pub2.
4. Haynes R, Ackloo E, Sahota N, McDonald H, Yao X. Interventions for enhancing medication adherence. Cochrane Database Syst Rev. 2008;(2):CD000011. doi:10.1002/14651858.CD000011.pub3.
5. Okeke CO, Quigley HA, Jampel HD, et al. Adherence with topical glaucoma medication monitored electronically the Travatan Dosing Aid study. Ophthalmology. 2009;116(2):191-199.
6. Gray TA, Fenerty C, Harper R, et al. Individualised patient care as an adjunct to standard care for promoting adherence to ocular hypotensive therapy: an exploratory randomised controlled trial. Eye (Lond). 2012;26(3):407-417.
7. Glanz K, Beck AD, Bundy L, et al. Impact of a health communication intervention to improve glaucoma treatment adherence: results of the interactive study to increase glaucoma adherence to treatment trial. Arch Ophthalmol. 2012;130(10):1252-1258.
8. Boland MV. Meaningful use of electronic health records in ophthalmology. Ophthalmology. 2010;117(12):2239-2240.
9. Horvath T, Azman H, Kennedy GE, Rutherford GW. Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection. Cochrane Database Syst Rev. 2012;3:CD009756.
10. Vervloet M, Linn AJ, van Weert JC, de Bakker DH, BouvyML, van Dijk L. The effectiveness of interventions using electronic reminders to improve adherence to chronic medication: a systematic review of the literature. J Am Med Inform Assoc. 2012;19(5):696-704.
11. Boland MV, Chang DS, Frazier T, Plyler R, Friedman DS. Electronic monitoring to assess adherence with once-daily glaucoma medications and risk factors for nonadherence: the Automated Dosing Reminder Study. JAMA Ophthalmol. doi:10.1001/jamaophthalmol.2014.856.
12. R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2010.
13. Harrell FE Jr, with contributions from Charles Dupont and many others. 2013. Hmisc: Harrell Miscellaneous. R package version 3.12-2. http://cran.r-project.org/web/packages/Hmisc/index.html. Accessed March 24, 2014.
14. Chang DS, Friedman DS, Frazier T, Plyler R, Boland MV. Development and validation of a predictive model for nonadherence with once-daily glaucoma medications. Ophthalmology. 2013;120(7):1396-1402.
15. Sleath B, Blalock SJ, Robin A, et al. Development of an instrument to measure glaucoma medication self-efficacy and outcome expectations. Eye (Lond). 2010;24(4):624-631.
16. Patel SC, Spaeth GL. Compliance in patients prescribed eyedrops for glaucoma. Ophthalmic Surg. 1995;26(3):233-236.
17. Taylor SA, Galbraith SM, Mills RP. Causes of non-compliance with drug regimens in glaucoma patients: a qualitative study. J Ocul Pharmacol Ther. 2002;18(5):401-409. (Pubitemid 37420249)
18. Kosoko O, Quigley HA, Vitale S, Enger C, Kerrigan L, Tielsch JM. Risk factors for noncompliance with glaucoma follow-up visits in a residents' eye clinic. Ophthalmology. 1998;105(11):2105-2111. (Pubitemid 30211781)
19. Friedman DS, Okeke CO, Jampel HD, et al. Risk factors for poor adherence to eyedrops in electronically monitored patients with glaucoma. Ophthalmology. 2009;116(6):1097-1105.
20. Boland MV, Chiang MF, Lim MC, et al American Academy of Ophthalmology Medical Information Technology Committee. Adoption of electronic health records and preparations for demonstrating meaningful use: an American Academy of Ophthalmology survey. Ophthalmology. 2013;120(8):1702-1710.
21. Blumenthal D, Tavenner M. The "meaningful use" regulation for electronic health records. N Engl J Med. 2010;363(6):501-504.