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Background: Medication adherence has been studied in different settings, with different approaches, and applying different methodologies. Nevertheless, our knowledge and efficacy are quite limited in terms of measuring and evaluating all the variables and components that affect the management of medication adherence regimes as a complex phenomenon. The study aim is mapping the state-of-the-art of medication adherence measurement and assessment methods applied in chronic conditions. Specifically, we are interested in what methods and assessment procedures are currently used to tackle medication adherence. We explore whether Big Data techniques are adopted to improve decision-making procedures regarding patients' adherence, and the possible role of digital technologies in supporting interventions for improving patient adherence and avoiding waste or harm.

Methods: A scoping literature review and bibliometric analysis were used. Arksey and O'Malley's framework was adopted to scope the review process, and a bibliometric analysis was applied to observe the evolution of the scientific literature and identify specific characteristics of the related knowledge domain.

Results: A total of 533 articles were retrieved from the Scopus academic database and selected for the bibliometric analysis. Sixty-one studies were identified and included in the final analysis. The Morisky medication adherence scale (36%) was the most frequently adopted baseline measurement tool, and cardiovascular/hypertension disease, the most investigated illness (38%). Heterogeneous findings emerged from the types of study design and the statistical methodologies used to assess and compare the results.

Conclusions: Our findings reveal a lack of Big Data applications currently deployed to address or measure medication adherence in chronic conditions. Our study proposes a general framework to select the methods, measurements and the corpus of variables in which the treatment regime can be analyzed.

Titel:	Scoping review and bibliometric analysis of Big Data applications for Medication adherence: an explorative methodological study to enhance consistency in literature.
Autor/in / Beteiligte Person:	Pirri, S ; Lorenzoni, V ; Turchetti, G
Link:	Full Text Finder (Volltext)
Zeitschrift:	BMC health services research, Jg. 20 (2020-07-24), Heft 1, S. 688
Veröffentlichung:	London : BioMed Central, [2001-, 2020
Medientyp:	academicJournal
ISSN:	1472-6963 (electronic)
DOI:	10.1186/s12913-020-05544-4
Schlagwort:	Databases, Factual Humans Hypertension drug therapy Randomized Controlled Trials as Topic Bibliometrics Big Data Medication Adherence
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article; Review Language: English [BMC Health Serv Res] 2020 Jul 24; Vol. 20 (1), pp. 688. <i>Date of Electronic Publication: </i>2020 Jul 24. MeSH Terms: Bibliometrics* ; Big Data* ; Medication Adherence* ; Databases, Factual ; Humans ; Hypertension / drug therapy ; Randomized Controlled Trials as Topic References: J Med Syst. 2017 Oct 14;41(11):183. (PMID: 29032458) ; Proc Natl Acad Sci U S A. 2005 Nov 15;102(46):16569-72. (PMID: 16275915) ; AIDS Behav. 2011 Oct;15(7):1447-53. (PMID: 21833689) ; Value Health. 2008 Jan-Feb;11(1):44-7. (PMID: 18237359) ; Implement Sci. 2010 Sep 20;5:69. (PMID: 20854677) ; Eur J Cardiothorac Surg. 2018 May 1;53(5):910-914. (PMID: 29518194) ; Ann Intern Med. 2018 Jul 3;169(1):30-35. (PMID: 29946690) ; J Manag Care Pharm. 2014 Jan;20(1):58-65. (PMID: 24511766) ; Health Aff (Millwood). 2011 Jan;30(1):91-9. (PMID: 21209444) ; Diabet Med. 2015 Jun;32(6):725-37. (PMID: 25440507) ; PLoS Med. 2009 Jul 21;6(7):e1000097. (PMID: 19621072) ; PLoS Comput Biol. 2013;9(7):e1003149. (PMID: 23874189) ; Br J Clin Pharmacol. 2012 May;73(5):691-705. (PMID: 22486599) ; Am J Prev Med. 2007 Aug;33(2):155-61. (PMID: 17673104) ; Trials. 2018 Jan 11;19(1):29. (PMID: 29325575) ; JAMA. 2006 Jan 4;295(1):90-3. (PMID: 16391221) ; Lancet. 2002 Jan 5;359(9300):57-61. (PMID: 11809203) ; PLoS One. 2013 Dec 02;8(12):e80633. (PMID: 24312488) ; BMC Med Res Methodol. 2013 Mar 23;13:48. (PMID: 23522333) ; Scientometrics. 2015;105(3):1809-1831. (PMID: 26594073) ; Int J Nurs Pract. 2009 Feb;15(1):25-31. (PMID: 19187166) ; Gynecol Obstet Invest. 2001;51(1):8-11. (PMID: 11150867) ; JAMA. 2007 Jan 10;297(2):177-86. (PMID: 17213401) ; Value Health. 2010 Dec;13(8):1038-45. (PMID: 20946182) ; Epilepsy Behav. 2015 May;46:242-5. (PMID: 25847430) ; Scientometrics. 2010 Aug;84(2):523-538. (PMID: 20585380) ; FASEB J. 2008 Feb;22(2):338-42. (PMID: 17884971) ; Ther Clin Risk Manag. 2005 Sep;1(3):189-99. (PMID: 18360559) ; Am J Manag Care. 2015 Jun 01;21(6):e379-89. (PMID: 26247579) ; Bus Horiz. 2014 Sep;57(5):571-582. (PMID: 25429161) ; Nat Biotechnol. 2017 Aug;35(8):747-756. (PMID: 28714965) ; Health Technol (Berl). 2017;7(4):539-567. (PMID: 29308348) ; Harv Bus Rev. 2012 Oct;90(10):60-6, 68, 128. (PMID: 23074865) ; Ann Intern Med. 2018 Oct 2;169(7):467-473. (PMID: 30178033) ; J Psychosom Res. 1999 Dec;47(6):555-67. (PMID: 10661603) ; Res Social Adm Pharm. 2018 May;14(5):498-500. (PMID: 28576614) ; Value Health. 2009 Jun;12(4):630. (PMID: 18980635) ; Cochrane Database Syst Rev. 2014 Nov 20;(11):CD000011. (PMID: 25412402) ; J Am Pharm Assoc (2003). 2011 Jan-Feb;51(1):90-4. (PMID: 21247831) ; BMJ Open. 2018 Jan 21;8(1):e016982. (PMID: 29358417) ; Biomed Res Int. 2015;2015:217047. (PMID: 26539470) ; AIDS Behav. 2015 Sep;19(9):1619-29. (PMID: 25777507) ; J Popul Ther Clin Pharmacol. 2013;20(1):e26-41. (PMID: 23392860) ; Control Clin Trials. 1984 Dec;5(4 Suppl):515-21. (PMID: 6518779) ; Scientometrics. 2010;83(1):15-38. (PMID: 32214555) ; Trials. 2019 Dec 16;20(1):731. (PMID: 31842960) Contributed Indexing: Keywords: Bibliometric analysis; Big data; Medication adherence; Scoping review Entry Date(s): Date Created: 20200726 Date Completed: 20201222 Latest Revision: 20231111 Update Code: 20231215 PubMed Central ID: PMC7379348

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Scoping review and bibliometric analysis of Big Data applications for Medication adherence: an explorative methodological study to enhance consistency in literature.