Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.
ADVANCED SEARCH
Log in
Top
AIDS and Behavior
Published in: AIDS and Behavior 8/2019

01-08-2019 | Human Immunodeficiency Virus | Original Paper

Testing the Feasibility of Using Ecological Momentary Assessment to Collect Real-Time Behavior and Mood to Predict Technology-Measured HIV Medication Adherence

Authors: Enbal Shacham, Daphne Lew, Ting Xiao, Julia López, Timothy Trull, Mario Schootman, Rachel Presti

Published in: AIDS and Behavior | Issue 8/2019

Login to get access

Abstract

Identifying distinct patterns of behavior and mood in natural environments that interrupt medication adherence among individuals with HIV will be useful in informing intervention development. This pilot study assessed the initial efficacy of using ecologic momentary assessment to define patterns of alcohol use, mood, and medication adherence. Participants reported intraday alcohol use and mood using app-enabled smartphones and MEMSCap pill bottles to measure medication adherence. There were 34 enrolled participants, 29 of whom completed the 28-day study. Participants drank a mean of 7.75 days of the study period. The positive and negative affect scores ranged from 10 to 50, with a mean of 25.7 and 11.4 for each, respectively. The average medication adherence for the sample was 94.1%. These findings suggest these types of data collection methods are increasingly acceptable in measuring real-time mood and behavior, which may better inform interventions addressed at increasing HIV adherence practices.
Literature
1.
2.
Bangsberg DR, Hecht FM, Clague H, et al. Provider assessment of adherence to HIV antiretroviral therapy. J Acquir Immune Defic Syndr. 2001;26(5):435–42.CrossRefPubMed
3.
Bangsberg DR, Moss AR, Deeks SG. Paradoxes of adherence and drug resistance to HIV antiretroviral therapy. J Antimicrob Chemother. 2004;53(5):696–9.CrossRefPubMed
4.
Ebner-Priemer UW, Trull TJ. Ecological momentary assessment of mood disorders and mood dysregulation. Psychol Assess. 2009;21(4):463–75.CrossRefPubMed
5.
Jahng S, Solhan MB, Tomko RL, Wood PK, Piasecki TM, Trull TJ. Affect and alcohol use: an ecological momentary assessment study of outpatients with borderline personality disorder. J Abnorm Psychol. 2011;120(3):572–84.CrossRefPubMedPubMedCentral
6.
Trull TJ, Ebner-Priemer UW. Using experience sampling methods/ecological momentary assessment (ESM/EMA) in clinical assessment and clinical research: Introduction to the special section. Psychol Assess. 2009;21(4):457–62.CrossRefPubMedPubMedCentral
7.
Lopez JD, Shacham E, Brown T. The impact of the Ryan White HIV/AIDS Medical Case Management Program on HIV clinical outcomes: a longitudinal study. AIDS Behav. 2018;22(9):3091–9.CrossRefPubMed
8.
Wiggers LC, de Wit JB, Gras MJ, Coutinho RA, van den Hoek A. Risk behavior and social-cognitive determinants of condom use among ethnic minority communities in Amsterdam. AIDS Educ Prev. 2003;15(5):430–47.CrossRefPubMed
9.
Solhan MB, Trull TJ, Jahng S, Wood PK. Clinical assessment of affective instability: comparing EMA indices, questionnaire reports, and retrospective recall. Psychol Assess. 2009;21(3):425–36.CrossRefPubMedPubMedCentral
10.
Shacham E, Cottler LB. Sexual behaviors among club drug users: prevalence and reliability. Arch Sex Behav. 2010;39(6):1331–41.CrossRefPubMed
11.
12.
Mustanski B. The influence of state and trait affect on HIV risk behaviors: a daily diary study of MSM. Health Psychol. 2007;26(5):618–26.CrossRefPubMed
13.
Cook PF, McElwain CJ, Bradley-Springer LA. Brief report on ecological momentary assessment: everyday states predict HIV prevention behaviors. BMC Res Notes. 2016;9:9.CrossRefPubMedPubMedCentral
14.
Piasecki TM, Hufford MR, Solhan M, Trull TJ. Assessing clients in their natural environments with electronic diaries: rationale, benefits, limitations, and barriers. Psychol Assess. 2007;19(1):25–43.CrossRefPubMed
15.
Buysse DJ, Thompson W, Scott J, et al. Daytime symptoms in primary insomnia: a prospective analysis using ecological momentary assessment. Sleep Med. 2007;8(3):198–208.CrossRefPubMedPubMedCentral
16.
Collins RL, Kashdan TB, Gollnisch G. The feasibility of using cellular phones to collect ecological momentary assessment data: Application to alcohol consumption. Exp Clin Psychopharmacol. 2003;11(1):73–8.CrossRefPubMed
17.
Heron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol. 2010;15(1):1–39.CrossRefPubMed
18.
Wray TB, Kahler CW, Monti PM. Using ecological momentary assessment (EMA) to study sex events among very high-risk men who have sex with men (MSM). AIDS Behav. 2016;20(10):2231–42.CrossRefPubMedPubMedCentral
19.
Yang C, Linas B, Kirk G, et al. Feasibility and acceptability of smartphone-based ecological momentary assessment of alcohol use among African American men who have sex with men in Baltimore. JMIR Mhealth Uhealth. 2015;3(2):e67.CrossRefPubMedPubMedCentral
20.
Rowe C, Hern J, DeMartini A, et al. Concordance of text message ecological momentary assessment and retrospective survey data among substance-using men who have sex with men: a secondary analysis of a randomized controlled trial. JMIR Mhealth Uhealth. 2016;4(2):e44.CrossRefPubMedPubMedCentral
21.
Paolillo WE, Tang B, Depp AC, et al. Temporal associations between social activity and mood, fatigue, and pain in older adults with HIV: an ecological momentary assessment study. JMIR Ment Health. 2018;5(2):e38.CrossRefPubMedPubMedCentral
22.
Robinson SM, Sobell LC, Sobell MB, Leo GI. Reliability of the timeline followback for cocaine, cannabis, and cigarette use. Psychol Addict Behav. 2014;28(1):154–62.CrossRefPubMed
23.
Compton WM, Cottler LB, Dorsey KB, Spitznagel EL, Mager DE (1996) Comparing assessments of DSM-IV substance dependence disorders using CIDI-SAM and SCAN. Drug Alcohol Depend 41(3):179–87. Erratum appears in Drug Alcohol Depend 1996 Nov; 42(3):217–9.
24.
Cottler LB. The CIDI and CIDI-substance abuse module (SAM): cross-cultural instruments for assessing DSM-III, DSM-III-R and ICD-10 criteria. NIDA Res Monogr. 1991;105:220–6.
25.
Crawford J, Henry J. The positive and negative affect schedule (PANAS): construct validity, measurement properties and normative data in a large non-clinical sample. Br J Clin Psychol. 2004;43:245–65.CrossRefPubMed
26.
27.
Karim J, Weisz R, Rehman SU. International positive and negative affect schedule short-form (I-PANAS-SF): testing for factorial invariance across cultures. Proc Soc Behav Sci. 2011;15:2016–22.CrossRef
28.
29.
Howard AA, Arnsten JH, Lo Y, et al. A prospective study of adherence and viral load in a large multi-center cohort of HIV-infected women. AIDS. 2002;16(16):2175–82.CrossRefPubMed
30.
Pearson C, Simoni J, Hoff P, Kurth A, Martin D. Assessing antiretroviral adherence via electronic drug monitoring and self-report: an examination of key methodological issues. AIDS Behav. 2007;11(2):161–73.CrossRefPubMedPubMedCentral
31.
Piasecki TM, Jahng S, Wood PK, et al. The subjective effects of alcohol–tobacco co-use: an ecological momentary assessment investigation. J Abnorm Psychol. 2011;120(3):557–71.CrossRefPubMedPubMedCentral
32.
Moore RC, Kaufmann CN, Rooney AS, et al. Feasibility and acceptability of ecological momentary assessment of daily functioning among older adults with HIV. Am J Geriatr Psychiatry. 2017;25(8):829–40.CrossRefPubMed
33.
McCarney R, Warner J, Iliffe S, van Haselen R, Griffin M, Fisher P. The Hawthorne effect: a randomised, controlled trial. BMC Med Res Methodol. 2007;7(1):30.CrossRefPubMedPubMedCentral
34.
Griffith SD, Shiffman S, Heitjan DF. A method comparison study of timeline followback and ecological momentary assessment of daily cigarette consumption. Nicotine Tob Res. 2009;11(11):1368–73.CrossRefPubMedPubMedCentral
35.
Gupta R, Rao UP. An exploration to location based service and its privacy preserving techniques: a survey. Wirel Pers Commun. 2017;96(2):1973–2007.CrossRef
Metadata
Title
Testing the Feasibility of Using Ecological Momentary Assessment to Collect Real-Time Behavior and Mood to Predict Technology-Measured HIV Medication Adherence
Authors
Enbal Shacham
Daphne Lew
Ting Xiao
Julia López
Timothy Trull
Mario Schootman
Rachel Presti
Publication date
01-08-2019
Publisher
Springer US
Published in
AIDS and Behavior / Issue 8/2019
Print ISSN: 1090-7165
Electronic ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-018-2378-9

Other articles of this Issue 8/2019

AIDS and Behavior 8/2019 Go to the issue

Original Paper

Determinants, Prevalence and Trend of Use of Medicinal Plants Among People Living with HIV: A Cross-Sectional Survey in Dschang, Cameroon

Original Paper

Adherence to Antiretroviral Therapy Among Incarcerated Persons with HIV: Associations with Methadone and Perceived Safety

Original Paper

Antiretroviral Adherence Trajectories Among Black Americans Living with HIV

Original Paper

Use of Antiretroviral Drug Testing to Assess the Accuracy of Self-reported Data from HIV-Infected People Who Inject Drugs

Original Paper

Picture Pill Count: An Innovative, Reliable, Valid and Feasible Method to Measure Adherence to ART

Original Paper

ART Denial: Results of a Home-Based Study to Validate Self-reported Antiretroviral Use in Rural South Africa
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Reserve your place

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

Read more

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Pediatric Cardiology Video

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

Cardiopulmonary Comorbidity Video

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Valvular Heart Disease Video

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Heart Failure Video

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.

ACC 2024 Congress Coverage

Year in Review: Heart failure and cardiomyopathies

Heart Failure Video

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.

Watch now

Semaglutide benefits people with type 2 diabetes and obesity-related heart failure

16-04-2024 Type 2 Diabetes News

Incentivised to exercise

11-04-2024 Lifestyle Modifications News

New intervention for STEMI-related cardiogenic shock

10-04-2024 Myocardial Infarction News

» View more highlights on the ACC 2024 congress hub page

Image Credits