Assessing adherence to multiple medications and in daily life among patients with multimorbidity

被引:15
作者
Inauen, Jennifer [1 ,2 ,3 ]
Bierbauer, Walter [2 ,7 ]
Luscher, Janina [2 ]
Konig, Claudia [2 ,7 ]
Tobias, Robert [2 ]
Ihle, Andreas [4 ,8 ,9 ]
Zimmerli, Lukas [3 ,5 ]
Holzer, Barbara M. [3 ,6 ,7 ]
Battegay, Edouard [3 ,6 ,7 ]
Siebenhuner, Klarissa [3 ,6 ,7 ]
Kliegel, Matthias [4 ,8 ,9 ]
Scholz, Urte [2 ,3 ,7 ]
机构
[1] Columbia Univ, Dept Psychol, New York, NY 10027 USA
[2] Univ Zurich, Dept Psychol, Zurich, Switzerland
[3] Univ Zurich, Ctr Competence Multimorbid, Zurich, Switzerland
[4] Univ Geneva, Dept Psychol, Geneva, Switzerland
[5] Cantonal Hosp Olten, Olten, Switzerland
[6] Univ Zurich Hosp, Dept Internal Med, Zurich, Switzerland
[7] Univ Zurich, Univ Res Prior Program Dynam Healthy Aging, Zurich, Switzerland
[8] Univ Geneva, Ctr Interdisciplinary Study Gerontol & Vulnerabil, Geneva, Switzerland
[9] Swiss Natl Ctr Competences Res LIVES Overcoming V, Lausanne, Switzerland
基金
瑞士国家科学基金会;
关键词
multiple medications; polypharmacy; multimorbidity; multiple chronic conditions; electronic medication adherence; self-report; RANDOMIZED CONTROLLED-TRIAL; SELF-REPORT; PRIMARY-CARE; HEALTH-CARE; NONADHERENCE; METAANALYSIS; RELIABILITY; THERAPY;
D O I
10.1080/08870446.2016.1275632
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective: Chronic conditions often require multiple medication intake. However, past research has focused on assessing overall adherence or adherence to a single index medication only. This study explored adherence measures for multiple medication intake, and in daily life, among patients with multiple chronic conditions (i.e. multimorbidity).Design: Eighty-four patients with multimorbidity and multiple-medication regimens completed three monthly panel questionnaires. A randomly assigned subsample additionally completed a 30-day daily diary.Main outcome measure: The Non-Adherence Report; a brief self-report measure of adherence to each prescribed medication (NAR-M), and in daily life. We further assessed the Medication Adherence Report Scale (MARS), and a subsample of participants were randomised to electronic adherence monitoring.Results: The NAR-M indicated M=94.7% adherence at Time 1 (SD=9.3%). The NAR-M was significantly correlated with the MARS (r(t1)=.52, r(t2)=.57, and r(t3)=.65; p<.001), and in tendency with electronically assessed adherence (r(t2)=.45, r(t3)=.46, p<.10). Variance components analysis indicated that between-person differences accounted for 10.2% of the variance in NAR-M adherence rates, whereas 22.9% were attributable to medication by person interactions.Conclusion: This study highlights the importance and feasibility of studying adherence to multiple medications differentially, and in daily life. Future studies may use these measures to investigate within-person and between-medication differences in adherence.
引用
收藏
页码:1233 / 1248
页数:16
相关论文
共 34 条
  • [1] Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study
    Barnett, Karen
    Mercer, Stewart W.
    Norbury, Michael
    Watt, Graham
    Wyke, Sally
    Guthrie, Bruce
    [J]. LANCET, 2012, 380 (9836) : 37 - 43
  • [2] Action control in dyads: A randomized controlled trial to promote physical activity in everyday life
    Berli, Corina
    Stadler, Gertraud
    Inauen, Jennifer
    Scholz, Urte
    [J]. SOCIAL SCIENCE & MEDICINE, 2016, 163 : 89 - 97
  • [3] Chambers JA., 2015, DRUGS THER PERSPECT, V31, P167, DOI DOI 10.1007/S40267-015-0200-6
  • [4] Long terms trends of multimorbidity and association with physical activity in older English population
    Dhalwani, Nafeesa N.
    O'Donovan, Gary
    Zaccardi, Francesco
    Hamer, Mark
    Yates, Thomas
    Davies, Melanie
    Khunti, Kamlesh
    [J]. INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2016, 13
  • [5] Patient adherence and medical treatment outcomes - A meta-analysis
    DiMatteo, MR
    Giordani, PJ
    Lepper, HS
    Croghan, TW
    [J]. MEDICAL CARE, 2002, 40 (09) : 794 - 811
  • [6] GPOWER: A general power analysis program
    Erdfelder, E
    Faul, F
    Buchner, A
    [J]. BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS, 1996, 28 (01): : 1 - 11
  • [7] The concordance of self-report with other measures of medication adherence - A summary of the literature
    Garber, MC
    Nau, DP
    Erickson, SR
    Aikens, JE
    Lawrence, JB
    [J]. MEDICAL CARE, 2004, 42 (07) : 649 - 652
  • [8] The prevalence of multimorbidity in primary care and its effect on health care utilization and cost
    Glynn, Liam G.
    Valderas, Jose M.
    Healy, Pamela
    Burke, Evelyn
    Newell, John
    Gillespie, Patrick
    Murphy, Andrew W.
    [J]. FAMILY PRACTICE, 2011, 28 (05) : 516 - 523
  • [9] The rising tide of polypharmacy and drug-drug interactions: population database analysis 1995-2010
    Guthrie, Bruce
    Makubate, Boikanyo
    Hernandez-Santiago, Virginia
    Dreischulte, Tobias
    [J]. BMC MEDICINE, 2015, 13
  • [10] Real-Time Adherence Monitoring for HIV Antiretroviral Therapy
    Haberer, Jessica E.
    Kahane, Josh
    Kigozi, Isaac
    Emenyonu, Nneka
    Hunt, Peter
    Martin, Jeffrey
    Bangsberg, David R.
    [J]. AIDS AND BEHAVIOR, 2010, 14 (06) : 1340 - 1346