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Psychometric Properties of the Four-Item Morisky Green Levine Medication Adherence Scale among Atherosclerosis Risk in Communities (ARIC) Study Participants.

TitlePsychometric Properties of the Four-Item Morisky Green Levine Medication Adherence Scale among Atherosclerosis Risk in Communities (ARIC) Study Participants.
Publication TypeJournal Article
Year of Publication2016
AuthorsBeyhaghi H, Reeve BB, Rodgers JE
Secondary AuthorsStearns SC
JournalValue Health
Volume19
Issue8
Pagination996-1001
Date Published2016 Dec
ISSN1524-4733
KeywordsAged, Aged, 80 and over, Anticholesteremic Agents, Cardiovascular Agents, Cross-Sectional Studies, Female, Humans, Hypoglycemic Agents, Male, Medication Adherence, Middle Aged, Polypharmacy, Psychometrics, Reproducibility of Results, Residence Characteristics, Self Report, Socioeconomic Factors, Surveys and Questionnaires
Abstract

OBJECTIVES: To evaluate the reliability and factorial validity of the four-item Morisky Green Levine Medication Adherence Scale (MGLS) among Atherosclerosis Risk in Communities (ARIC) Study participants.

METHODS: We used the cross-sectional visit 5 data from the ARIC Study to assess the measurement properties of the MGLS. We measured the internal consistency using Cronbach α (where α > 0.70 is considered reliable for group-level measurement), the response frequency, and the inter item correlation. Factor analysis of the MGLS and five other adherence items in the survey was conducted using a polychoric correlation matrix to examine the dimensionality that underlies the MGLS. A vanishing tetrad test was conducted to assess conformity with an effect indicator model.

RESULTS: Among the ARIC visit 5 participants, 6,261 (96%) responded to the MGLS and other questions related to medication adherence in the survey (mean age 76 ± 5 years, 59% women). The Cronbach α for the MGLS was 0.47. The inter-item correlations ranged from 0.11 to 0.26. In the factor analysis of the medication adherence survey questions, a three-factor solution was used. One factor captured the extent of nonadherence, whereas other factors focused on the reasons for nonadherence. The MGLS items spread out across the factors that reflect the extent of as well as the reasons for nonadherence. The results of the vanishing tetrad test indicated that the MGLS consists of items other than effect indicators (P

CONCLUSIONS: The low reliability together with the factor analysis findings imply that the MGLS may reflect causes as well as the extent of medication adherence. The findings suggest that the MGLS, as presently used, lacks consistency in an elderly population.

DOI10.1016/j.jval.2016.07.001
Alternate JournalValue Health
PubMed ID27987650
PubMed Central IDPMC5287458
Grant ListHHSN268201100012C / HL / NHLBI NIH HHS / United States
HHSN268201100009I / HL / NHLBI NIH HHS / United States
HHSN268201100010C / HL / NHLBI NIH HHS / United States
HHSN268201100008C / HL / NHLBI NIH HHS / United States
HHSN268201100005G / HL / NHLBI NIH HHS / United States
HHSN268201100008I / HL / NHLBI NIH HHS / United States
HHSN268201100007C / HL / NHLBI NIH HHS / United States
HHSN268201100011I / HL / NHLBI NIH HHS / United States
HHSN268201100011C / HL / NHLBI NIH HHS / United States
HHSN268201100006C / HL / NHLBI NIH HHS / United States
HHSN268201100005I / HL / NHLBI NIH HHS / United States
HHSN268201100009C / HL / NHLBI NIH HHS / United States
HHSN268201100005C / HL / NHLBI NIH HHS / United States
HHSN268201100007I / HL / NHLBI NIH HHS / United States