1
|
Shiomi M, Takada T, Otori K, Shibuya K. Frequency of missed doses and its effects on the regulation of glucose levels in patients with type 2 diabetes: A retrospective analysis. Medicine (Baltimore) 2024; 103:e37711. [PMID: 38608082 PMCID: PMC11018172 DOI: 10.1097/md.0000000000037711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 03/04/2024] [Indexed: 04/14/2024] Open
Abstract
This study aimed to investigate the association between medication adherence to oral hypoglycemic agents (OHAs) and HbA1c levels in patients with type 2 diabetes mellitus (T2DM) for more than 48 weeks, as well as the factors affecting long-term adherence to OHAs. This retrospective study included 83 patients who had been receiving OHAs for T2DM for ≥48 weeks. Medication adherence values (MAVs) were calculated using the following formula: (total prescription days - prescription days of OHAs brought at admission)/(days from the initiation of OHAs to hospitalization). We assessed the association between HbA1c and MAVs using the Jonckheere-Terpstra test. Furthermore, we examined the association between patient- and medication-related factors and MAVs affecting HbA1c levels. Based on the results, MAVs were categorized as MAV ≤0.86 and MAV >0.86, and factors affecting MAVs were analyzed. Logistic regression analysis revealed that the total number of medications, the number of nonhypoglycemic agents, and a family history of diabetes were independent determinants of MAV ≤0.86 (P < .05). Multiple regression analyses indicated that the number of dosages per day and the timing of OHA administration at lunch were independent determinants of lower MAVs (P < .05). Our findings suggest that poor medication adherence is associated with elevated HbA1c levels in T2DM patients. Independent factors contributing to poor adherence include a lower number of prescribed medications, fewer nonhypoglycemic agents, no family history, a higher daily dosage frequency, and the administration of OHAs at lunch.
Collapse
Affiliation(s)
- Megumi Shiomi
- Department of Clinical Pharmacy, School of Pharmacy, Kitasato University, Tokyo, Japan
- Department of Pharmacy, Kitasato University Medical Center, Kitamoto, Japan
| | - Tesshu Takada
- Department of Endocrinology, Diabetes, and Metabolism, School of Medicine, Kitasato University, Sagamihara, Japan
| | - Katsuya Otori
- Department of Clinical Pharmacy, School of Pharmacy, Kitasato University, Tokyo, Japan
- Department of Pharmacy, Kitasato University Medical Center, Kitamoto, Japan
| | - Kiyoshi Shibuya
- Department of Clinical Pharmacy, School of Pharmacy, Kitasato University, Tokyo, Japan
- Department of Pharmacy, Kitasato University Medical Center, Kitamoto, Japan
| |
Collapse
|
2
|
Genelin MP, Helmkamp LJ, Steiner JF, Maertens JA, Hanratty R, Vupputuri S, Havranek EP, Dickinson LM, Blair IV, Daugherty SL. Patient Pill Organization Strategies and Adherence Measured in a Cross-Sectional Study of Hypertension. Patient Prefer Adherence 2023; 17:817-826. [PMID: 36992865 PMCID: PMC10042167 DOI: 10.2147/ppa.s399693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/07/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND The strategies patients use to organize medications (eg, pill dispenser) may be reflected in adherence measured at follow-up. We studied whether medication organization strategies patients use at home are associated with adherence measured using pharmacy-fills, self-report, and pill counts. DESIGN Secondary analysis of data from a prospective randomized clinical trial. SETTING Eleven US safety-net and community primary care clinics. PATIENTS Of the 960 enrolled self-identified non-Hispanic Black and White patients prescribed antihypertensive medications, 731 patients reported pill organization strategies and were included. VARIABLE Patients were asked if they use any of the following medication organization strategies: finish previous refills first; use a pill dispenser; combine same prescriptions; or combine dissimilar prescriptions. OUTCOMES Adherence to antihypertensive medications using pill counts (range, 0.0-1.0% of the days covered), pharmacy-fill (proportion of days covered >90%), and self-report (adherent/non-adherent). RESULTS Of the 731 participants, 38.3% were men, 51.7% were age ≥65, 52.9% self-identified as Black or African American. Of the strategies studied, 51.7% finished previous refills first, 46.5% used a pill dispenser, 38.2% combined same prescriptions and 6.0% combined dissimilar prescriptions. Median (IQR) pill count adherence was 0.65 (0.40-0.87), pharmacy-fill adherence was 75.7%, and self-reported adherence was 63.2%. Those who combined same prescriptions had significantly lower measured pill count adherence than those who did not (0.56 (0.26-0.82) vs 0.70 (0.46-0.90), p<0.01) with no significant difference in pharmacy-fill (78.1% vs 74%, p=0.22) or self-reported adherence (63.0% vs 63.3%, p=0.93). CONCLUSION Self-reported medication organization strategies were common. Combining same prescriptions was associated with lower adherence as measured using pill counts but not pharmacy-fills or self-report. Clinicians and researchers should identify the pill organization strategies used by their patients to understand how these strategies may influence measures of patient adherence. TRIAL REGISTRATION ClinicalTrials.gov NCT03028597; https://clinicaltrials.gov/ct2/show/NCT03028597 (Archived by WebCite at http://www.webcitation.org/72vcZMzAB).
Collapse
Affiliation(s)
- Matthew P Genelin
- University of Colorado School of Medicine, Aurora, CO, USA
- Correspondence: Matthew P Genelin, University of Colorado School of Medicine, 3500 Rockmont Drive, #15-209, Denver, CO, 80202, USA, Email
| | - Laura J Helmkamp
- Adult and Child Consortium for Outcomes Research and Delivery Sciences (ACCORDS), University of Colorado, Aurora, CO, USA
| | - John F Steiner
- University of Colorado School of Medicine, Aurora, CO, USA
- Institute for Health Research, Kaiser Permanente Colorado, Denver, CO, USA
| | - Julie A Maertens
- Adult and Child Consortium for Outcomes Research and Delivery Sciences (ACCORDS), University of Colorado, Aurora, CO, USA
| | - Rebecca Hanratty
- University of Colorado School of Medicine, Aurora, CO, USA
- Department of Medicine, Denver Health and Hospital Authority, Denver, CO, USA
| | - Suma Vupputuri
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, MD, USA
| | - Edward P Havranek
- University of Colorado School of Medicine, Aurora, CO, USA
- Department of Medicine, Denver Health and Hospital Authority, Denver, CO, USA
- Department of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - L Miriam Dickinson
- University of Colorado School of Medicine, Aurora, CO, USA
- Adult and Child Consortium for Outcomes Research and Delivery Sciences (ACCORDS), University of Colorado, Aurora, CO, USA
| | - Irene V Blair
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Stacie L Daugherty
- University of Colorado School of Medicine, Aurora, CO, USA
- Adult and Child Consortium for Outcomes Research and Delivery Sciences (ACCORDS), University of Colorado, Aurora, CO, USA
- Institute for Health Research, Kaiser Permanente Colorado, Denver, CO, USA
- Department of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA
| |
Collapse
|
3
|
Langendoen-Gort M, Rutters F, Huijts D, Elders PJ, Terwee CB, Hugtenburg JG. Validation of an Announced Telephone Pill Count Compared to a Home-Visit Pill Count in People With Type 2 Diabetes or Cardiovascular Disease. Clin Pharmacol Drug Dev 2023; 12:85-93. [PMID: 36394278 PMCID: PMC10100458 DOI: 10.1002/cpdd.1185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 09/20/2022] [Indexed: 11/19/2022]
Abstract
We aimed to assess the validity of an announced telephone pill count in people with type 2 diabetes or cardiovascular disease by comparing this method to a home-visit pill count. We also assessed whether a second telephone pill count improved accuracy. People aged ≥35 years using oral type 2 diabetes or cardiovascular disease medication were included. Thirty-four participants completed a telephone pill count followed by a home-visit pill count, and a subsample of this population (n = 11) completed a second telephone pill count. Scatterplots were used for a visual representation of the number of pills counted with both methods, intraclass correlation coefficients for agreement, and Bland-Altman plots for absolute differences and outliers. A total of 203 pill counts were conducted. The study population consisted of 53% men, with a mean age of 69.6 (±9.2) years and an average of 6.1 (±2.8) medication prescriptions per participant. Scatterplots showed that pills counted with both methods were mostly scattered around the y = x equation. Agreement between the first telephone pill count and home-visit pill count was high, with intraclass correlation coefficients of 0.96 (medication count level) and 0.98 (individual level). No learning effects were observed in the subsample (n = 11), the intraclass correlation coefficient for the first telephone pill count was 0.88 versus 0.89 for the second telephone pill count. Bland-Altman plots indicated high agreement between the two methods. An announced telephone pill count is considered a valid alternative for a home-visit pill count in people with type 2 diabetes or cardiovascular disease. A single pill count appears sufficient.
Collapse
Affiliation(s)
- Marlous Langendoen-Gort
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of General Practice, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Health Behaviors & Chronic Diseases, Amsterdam, the Netherlands
| | - Femke Rutters
- Amsterdam Public Health Research Institute, Health Behaviors & Chronic Diseases, Amsterdam, the Netherlands.,Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam, the Netherlands
| | - Daniëlle Huijts
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of General Practice, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Health Behaviors & Chronic Diseases, Amsterdam, the Netherlands
| | - Petra Jm Elders
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of General Practice, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Health Behaviors & Chronic Diseases, Amsterdam, the Netherlands
| | - Caroline B Terwee
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Methodology, Amsterdam, the Netherlands
| | - Jacqueline G Hugtenburg
- Amsterdam Public Health Research Institute, Health Behaviors & Chronic Diseases, Amsterdam, the Netherlands.,Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Clinical Pharmacology and Pharmacy, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Aging & Later Life, Amsterdam, the Netherlands
| |
Collapse
|
4
|
Hartman L, Cutolo M, Bos R, Opris-Belinski D, Kok MR, Griep-Wentink HJRM, Klaasen R, Allaart CF, Bruyn GAW, Raterman HG, Voshaar MJH, Gomes N, Pinto RMA, Klausch LT, Lems WF, Boers M. Medication adherence in older people with rheumatoid arthritis is lower according to electronic monitoring than according to pill count. Rheumatology (Oxford) 2021; 60:5239-5246. [PMID: 33682887 PMCID: PMC8566247 DOI: 10.1093/rheumatology/keab207] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 02/14/2021] [Indexed: 12/11/2022] Open
Abstract
Objectives Suboptimal medication adherence is a serious problem in the treatment of chronic inflammatory diseases. To measure medication adherence, electronic monitoring is regarded as superior to pill count. GLORIA is an ongoing two-year trial on the addition of low-dose (5 mg/d) prednisolone or placebo to standard care in older people (65+ years) with RA. During the entire trial, adherence is measured with electronic caps, and with pill counts. The objective is to describe medication adherence patterns, and to compare the adherence results of the two methods. Methods The recorded adherence patterns of patients (blinded for treatment group) were classified according to descriptive categories. The cutoff for good adherence was set at 80% of prescribed pills taken. Results Trial inclusion closed in 2018 at 451 patients, but trial follow-up is ongoing; the current dataset contains adherence data of 371 patients. Mean number of recorded 90-day periods per patient was 4 (range 1–8). Based on pill count over all periods, 90% of the patients had good adherence; based on cap data, only 20%. Cap data classified 30% of patients as non-user (<20% of days an opening) and 40% as irregular user (different adherence patterns, in or between periods). Conclusion In our trial of older people with RA, the majority appeared to be adherent to medication according to pill count. Results from caps conflicted with those of pill counts, with patterns suggesting patients did not use the bottle for daily dispensing, despite specific advice to do so. Trial registration NCT02585258. ClinicalTrials.gov (https://www.clinicaltrials.gov/)
Collapse
Affiliation(s)
- Linda Hartman
- Amsterdam Rheumatology and Immunology Center, Amsterdam UMC, Location VUmc.,Epidemiology & Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Maurizio Cutolo
- Department of Rheumatology, University of Genoa, Genoa, Italy
| | - Reinhard Bos
- Department of Rheumatology, Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Daniela Opris-Belinski
- Department of Internal Medicine and Rheumatology, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Marc R Kok
- Department of Rheumatology and Clinical immunology, Maasstad Hospital, Rotterdam
| | | | - Ruth Klaasen
- Department of Rheumatology, Meander Medical Center, Amersfoort
| | | | | | | | - Marieke J H Voshaar
- Department of Pharmacy, Radboud University, Nijmegen.,Tools Patient Empowerment, Amsterdam, The Netherlands
| | | | - Rui M A Pinto
- Bluepharma, Indústria Farmacêutica, S.A, Coimbra, Portugal
| | - L Thomas Klausch
- Epidemiology & Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Willem F Lems
- Amsterdam Rheumatology and Immunology Center, Amsterdam UMC, Location VUmc
| | - M Boers
- Amsterdam Rheumatology and Immunology Center, Amsterdam UMC, Location VUmc.,Epidemiology & Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| |
Collapse
|
5
|
Mok YE, Lee JH, Lee MS. Comparison of Different Adherence Measures in Adolescent Outpatients with Depressive Disorder. Patient Prefer Adherence 2020; 14:1065-1072. [PMID: 32606621 PMCID: PMC7321686 DOI: 10.2147/ppa.s249728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 05/26/2020] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Adolescent depression can have a chronic course; hence, the importance of adherence to antidepressant medication for successful treatment outcomes is emphasized. This study aimed to examine different adherence measures and identify clinical factors that influence adherence in adolescent depression. PATIENTS AND METHODS A prospective study was conducted for patients diagnosed with depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition from outpatient psychiatric settings at Korea University Medical Center, Guro Hospital. Patient demographics were obtained from a questionnaire, interview, and review of chart records. Adherence was assessed by four methods (Medication Event Monitoring System [MEMS], pill count, clinical rating scale, and patient's self-report). The Toronto Side Effect Scale was used to evaluate side effects, and specific depressive symptoms were assessed using the Hamilton Rating Scale for Depression and Childhood Depression Inventory-Korean version. The Multidimensional Scale of Perceived Social Support was administered to analyze social support, and the Parenting Stress Index-Short Form was used to evaluate parental stress levels. We used concordance correlation analysis to evaluate the relationship among the four adherence measures and the relationship between adherence level and clinical factors. RESULTS Overall, the study enrolled 48 outpatients (mean age 16.33±1.93 years). The mean duration of illness was 1.27±2.17 years. Adherence rates for MEMS, clinician rating scale, pill count, and self-report after conversion to dichotomous measures were 67.5%, 48.9%, 60.0%, and 56.3%, respectively. Only the duration of illness remained significantly correlated with MEMS (r = 0.510, p =0.001). CONCLUSION Pill count exhibited a higher degree of agreement with MEMS adherence than the other two adherence measures, possibly indicating that pill count may be a considerably reliable measure of adherence. Furthermore, MEMS adherence was positively correlated with disease duration, suggesting that the longer the duration of illness, the higher the adherence.
Collapse
Affiliation(s)
- Young Eun Mok
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Korea University Guro Hospital, Guro-gu, Seoul, Republic of Korea
| | - Jong-ha Lee
- Department of Psychiatry, Korea University Ansan Hospital, Ansan, Gyeonggi Province, Republic of Korea
| | - Moon-soo Lee
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Korea University Guro Hospital, Guro-gu, Seoul, Republic of Korea
- Correspondence: Moon-soo Lee Division of Child and Adolescent Psychiatry, Department of Psychiatry, Korea University Guro Hospital, 148, Gurodong-ro, Guro-gu, Seoul08308, Republic of KoreaTel +82 2 2626 3163Fax +82 2 852 1937 Email
| |
Collapse
|
6
|
Goruntla N, Mallela V, Nayakanti D. Impact of Pharmacist-directed Counseling and Message Reminder Services on Medication Adherence and Clinical Outcomes in Type 2 Diabetes Mellitus. J Pharm Bioallied Sci 2019; 11:69-76. [PMID: 30906142 PMCID: PMC6394155 DOI: 10.4103/jpbs.jpbs_211_18] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Introduction: Medication nonadherence is the most common issue observed in the management of diabetes because of complex and lifelong therapy. The study aimed to assess the effect of pharmacist-directed counseling and daily text message reminder on medication adherence and clinical profile of patients with type II diabetes. Materials and Methods: This prospective, open-labeled, randomized control trial was carried out in outpatient medical department of a secondary care referral hospital. A total of 330 patients who met study criteria were enrolled and randomized into an intervention group (n = 165), received counseling and daily messages about medication intake and control group (n = 165), and usual care by physician. Medication adherence and clinical outcomes such as glycosylated hemoglobin (HbA1C), systolic blood pressure (SBP), low-density lipoprotein (LDL) cholesterol, triglyceride (TG) levels, and body mass index (BMI) were recorded at baseline and follow-up visits. Two-sample Wilcoxon rank sum test was used to compare the mean difference of medication adherence and paired t-test was used to compare clinical outcomes. Results and Discussion: The mean age of intervention and control groups were 57.1 ± 8.55 and 58.5 ± 8.53 years, respectively. The mean difference of medication adherence from baseline to second follow-up visit was significantly more in intervention group (12.2 ± 7.1%) compared to that in control group (0.75 ± 10.2 %) with a P < 0.001. From baseline to second follow-up visit, HbA1C (7.79 ± 0.67 to 6.91 ± 0.83 %), SBP (136.75 ± 20.09 to 126.23 ± 18.22 mm Hg), and LDL cholesterol (104.14 ± 26.23 to 98.29 ± 20.87 mg/dL) levels were significantly reduced in intervention group compared to that in control group with a P < 0.01. No significant improvement was observed in TG (169± 33.71 to 168 65 ± 33.90 mg/dL) and BMI (27.9 ± 4.21 to 27.1 ± 3.12 Kg/m2) levels from baseline to second follow-up visit. Conclusion: Pharmacist-directed patient counseling combined with message reminder showed a greater effect on the improvement of medication adherence and control of glycemia, blood pressure, and lipid profile in diabetes.
Collapse
Affiliation(s)
- Narayana Goruntla
- Research Department of Pharmaceutical Sciences, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh, India
| | - Vijayajyothi Mallela
- Department of Pharmaceutical Chemistry, Raghavendra Institute of Pharmaceutical Education and Research (RIPER), Ananthapuramu, Andhra Pradesh, India
| | - Devanna Nayakanti
- Department of Chemistry, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh, India
| |
Collapse
|
7
|
Iwuji C, McGrath N, Calmy A, Dabis F, Pillay D, Newell M, Baisley K, Porter K. Universal test and treat is not associated with sub-optimal antiretroviral therapy adherence in rural South Africa: the ANRS 12249 TasP trial. J Int AIDS Soc 2018; 21:e25112. [PMID: 29890048 PMCID: PMC5995313 DOI: 10.1002/jia2.25112] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 04/26/2018] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION HIV treatment guidelines now recommend antiretroviral therapy (ART) initiation regardless of CD4 count to maximize benefit both for the individual and society. It is unknown whether the initiation of ART at higher CD4 counts would affect adherence levels. We investigated whether initiating ART at higher CD4 counts was associated with sub-optimal adherence (<95%) during the first 12 months of ART. METHODS A prospective cohort study nested within a two-arm cluster-randomized trial of universal test and treat was implemented from March 2012 to June 2016 to measure the impact of ART on HIV incidence in rural KwaZulu-Natal. ART was initiated regardless of CD4 count in the intervention arm and according to national guidelines in the control arm. ART adherence was measured monthly using a visual analogue scale (VAS) and pill counts (PC). HIV viral load was measured at ART initiation, three and six months, and six-monthly thereafter. We pooled data from participants in both arms and used random-effects logistic regression models to examine the association between CD4 count at ART initiation and sub-optimal adherence, and assessed if adherence levels were associated with virological suppression. RESULTS Among 900 individuals who initiated ART ≥12 months before study end, median (IQR) CD4 at ART initiation was 350 cells/mm3 (234, 503); median age was 34.6 years (IQR 27.4 to 46.4) and 71.7% were female. Adherence was sub-optimal in 14.7% of visits as measured by VAS and 20.7% by PC. In both the crude analyses and after adjusting for potential confounders, adherence was not significantly associated with CD4 count at ART initiation (adjusted OR for linear trend in sub-optimal adherence with every 100 cells/mm3 increase in CD4 count: 1.00, 95% CI 0.95 to 1.05, for VAS, and 1.03, 95% CI 0.99 to 1.07, for PC). Virological suppression at 12 months was 97%. Optimal adherence by both measures was significantly associated with virological suppression (p < 0.001 for VAS; p = 0.006 for PC). CONCLUSIONS We found no evidence that higher CD4 counts at ART initiation were associated with sub-optimal ART adherence in the first 12 months. Our findings should alleviate concerns about adherence in individuals initiating ART at higher CD4 counts, however long-term outcomes are needed. ClinicalTrials.gov NCT01509508.
Collapse
Affiliation(s)
- Collins Iwuji
- Department of Global Health and InfectionBrighton and Sussex Medical SchoolBrightonUK
- Africa Health Research InstituteDurbanSouth Africa
- Institute for Global HealthUniversity College LondonLondonUK
| | - Nuala McGrath
- Africa Health Research InstituteSchool of Nursing & Public HealthUniversity of KwaZulu‐ NatalKwaZulu‐NatalSouth Africa
- Faculty of Medicine and Faculty of Human, Social and Mathematical SciencesUniversity of SouthamptonSouthamptonUK
- Research Department of Epidemiology & Public HealthUniversity College LondonLondonUK
| | - Alexandra Calmy
- Service des Maladies InfectieusesHIV UnitHôpitaux Universitaires de GenèveGenevaSwitzerland
| | - Francois Dabis
- Centre INSERM U1219Bordeaux Population HealthUniversité de BordeauxBordeauxFrance
| | - Deenan Pillay
- Department of Global Health and InfectionBrighton and Sussex Medical SchoolBrightonUK
- Division of Infection and ImmunityUniversity College LondonLondonUK
| | - Marie‐Louise Newell
- Human Development and Health and Global Health Research InstituteFaculty of MedicineUniversity of SouthamptonSouthamptonUK
| | - Kathy Baisley
- Department of Global Health and InfectionBrighton and Sussex Medical SchoolBrightonUK
- Department of Infectious Disease EpidemiologyFaculty of Epidemiology & Population HealthLondon School of Hygiene and Tropical MedicineLondonUK
| | - Kholoud Porter
- Institute for Global HealthUniversity College LondonLondonUK
| |
Collapse
|
8
|
El Alili M, Vrijens B, Demonceau J, Evers SM, Hiligsmann M. A scoping review of studies comparing the medication event monitoring system (MEMS) with alternative methods for measuring medication adherence. Br J Clin Pharmacol 2016; 82:268-79. [PMID: 27005306 DOI: 10.1111/bcp.12942] [Citation(s) in RCA: 114] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Revised: 03/16/2016] [Accepted: 03/17/2016] [Indexed: 12/31/2022] Open
Abstract
Different methods are available for measuring medication adherence. In this paper, we conducted a scoping review to identify and summarize evidence of all studies comparing the Medication Event Monitoring System (MEMS) with alternative methods for measuring medication adherence. A literature search was performed using the open database www.iAdherence.org that includes all original studies reporting findings from the MEMS. Papers comparing methods for measuring adherence to solid oral formulations were included. Data was extracted using a standardized extraction table. A total of 117 articles fulfilled the inclusion criteria, including 251 comparisons. Most frequent comparisons were against self-report (n = 119) and pill count (n = 59). Similar outcome measures were used in 210 comparisons (84%), among which 78 used dichotomous variables (adherent or not) and 132 used continuous measures (adherence expressed as percentage). Furthermore, 32% of all comparisons did not estimate adherence over the same coverage period and 44% of all comparisons did not use a statistical method or used a suboptimal one. Only eighty-seven (35%) comparisons had similar coverage periods, similar outcome measures and optimal statistical methods. Compared to MEMS, median adherence was grossly overestimated by 17% using self-report, by 8% using pill count and by 6% using rating. In conclusion, among all comparisons of MEMS versus alternative methods for measuring adherence, only a few used adequate comparisons in terms of outcome measures, coverage periods and statistical method. Researchers should therefore use stronger methodological frameworks when comparing measurement methods and be aware that non-electronic measures could lead to overestimation of medication adherence.
Collapse
Affiliation(s)
- Mohamed El Alili
- Department of Health Services Research, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
| | - Bernard Vrijens
- WestRock Healthcare, Visé, Belgium.,Department of Public Health, University of Liège, Liège, Belgium
| | | | - Silvia M Evers
- Department of Health Services Research, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands.,Trimbos Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Mickael Hiligsmann
- Department of Health Services Research, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
| |
Collapse
|
9
|
Shukla M, Agarwal M, Singh JV, Tripathi AK, Srivastava AK, Singh VK. Nonadherence to Antiretroviral Therapy Among People Living with HIV/AIDS Attending Two Tertiary Care Hospitals in District of Northern India. Indian J Community Med 2016; 41:55-61. [PMID: 26917875 PMCID: PMC4746956 DOI: 10.4103/0970-0218.170970] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Introduction: Adherence to antiretroviral therapy is a principal predictor for the success of human immunodeficiency virus (HIV) treatment. It remains as a challenge to acquired immunodeficiency syndrome (AIDS) treatment and care with the widespread of the associated risks. Therefore, study aims to assess nonadherence level and factors associated with nonadherence to ART among people living with HIV/AIDS (PLHA). Materials and Methods: A hospital-based, cross-sectional study was conducted at two tertiary care hospital of Lucknow. A total of 322 adult HIV-positive patients registered in the ART center were included. Systematic random sampling was used to recruit patients. Nonadherence was assessed on the basis of pill count method. Results: A total of 10.9% of patients were found to be nonadherent to ART. Principal causes cited were being busy with other work (40.0%), felt sick or ill (28.5%), not having money (14.2%), and being away from home (11.4). Multivariate logistic regression analysis revealed that nonadherence was significantly associated with nonbeneficial perceptions towards ART (odds ratio (OR) 18.5; 95% confidence interval (CI) 3.2-106.6; P = 0.001), being counseled for adherence for more than 3 months (OR 13.9; 95% CI 1.6-118.9; P = 0.01), presence of depression (OR 2.6; 95% CI 1.0-6.7; P = 0.04), and those who were not satisfied with healthcare facilities (OR 5.63; 95% CI 1.88-16.84; P = 0.00). Conclusion: Although adherence to ART varies between individuals and over time, the factors that affect nonadherence can be addressed with proper periodic counseling and motivation of patients and their family members. Adherence to highly active antiretroviral therapy (HAART) could delay the progression of this lethal disease and minimize the risk of developing drug resistance.
Collapse
Affiliation(s)
- Mukesh Shukla
- Department of Community Medicine and Public Health, King George's Medical University, Lucknow, Uttar Pradesh, India
| | - Monika Agarwal
- Department of Community Medicine and Public Health, King George's Medical University, Lucknow, Uttar Pradesh, India
| | - Jai Vir Singh
- Department of Community Medicine and Public Health, King George's Medical University, Lucknow, Uttar Pradesh, India
| | - Anil Kumar Tripathi
- Department of Clinical Hematology, King George's Medical University, Lucknow, Uttar Pradesh, India
| | - Anand Kumar Srivastava
- Department of Community Medicine and Public Health, King George's Medical University, Lucknow, Uttar Pradesh, India
| | - Vijay Kumar Singh
- Department of Community Medicine and Public Health, King George's Medical University, Lucknow, Uttar Pradesh, India
| |
Collapse
|
10
|
Bosman J, Ter Horst PGJ, Smit JP, Dijkstra JR, Beekhuis HR, Slingersland RJ, Hospes W. Adherence of antidepressants during pregnancy: MEMS compared with three other methods. Ther Adv Psychopharmacol 2014; 4:61-9. [PMID: 24688757 PMCID: PMC3952485 DOI: 10.1177/2045125313511486] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Data about adherence of antidepressants during pregnancy are lacking. However, it is important to gain insight into adherence in this population to reduce perinatal risks for relapse of depression. OBJECTIVE The objective of this study was to search for an inexpensive and easy method to implement daily for assessing medication adherence during pregnancy. METHODS An observational study was conducted to measure adherence by comparing pill count, Beliefs about Medicine questionnaire (BMQ) and blood level monitoring against the standard, the Medication Event Monitoring System (MEMS). We used a logistic regression model to determine potential predictors for poor adherence (age, marital class, highest level of education, monthly net income, employment, smoking, alcohol use and type of antidepressant). RESULTS From January 2010 until January 2012, 41 women were included within the first trimester of pregnancy; data could be evaluated in 29 women. Using MEMS, 86% of the women took in more than 80% of all prescribed doses on time and could be classified as adherent. Pill counts showed good agreement with MEMS. We did not find predictors for poor adherence in our study population. CONCLUSION Adherence of antidepressants during pregnancy using MEMS is 86%. There was a good agreement between MEMS and pill counts. This method may serve as a good alternative that can be easily implemented into daily practice.
Collapse
Affiliation(s)
- Judith Bosman
- Department of Clinical Pharmacy, Isala Clinics, Dr. van Heesweg 2, Zwolle, The Netherlands
| | | | - Jan Pieter Smit
- Department of Psychiatry, Isala Clinics, Zwolle, The Netherlands
| | - Jeroen R Dijkstra
- Department of Gynaecology and Obstetrics, Isala Clinics, Zwolle, The Netherlands
| | - Hans R Beekhuis
- Department of Gynaecology and Obstetrics, Isala Clinics, Zwolle, The Netherlands
| | | | - Wobbe Hospes
- Department of Clinical Pharmacy, Isala Clinics, Zwolle, The Netherlands
| |
Collapse
|
11
|
Lee JK, Grace KA, Foster TG, Crawley MJ, Erowele GI, Sun HJ, Turner PT, Sullenberger LE, Taylor AJ. How should we measure medication adherence in clinical trials and practice? Ther Clin Risk Manag 2007; 3:685-90. [PMID: 18472991 PMCID: PMC2374934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE To determine if simple adherence measures, such as twenty-four hour recall and refill history, are accurate for routine use, compared to more time-consuming measures such as pill counts. DESIGN Randomized, double-blind, placebo-controlled trial. SETTING Walter Reed Army Medical Center, a tertiary medical center in Washington. PATIENTS Men and women >30 years old with known coronary heart disease and taking a statin medication. INTERVENTION Clinical pharmacists met with patients for adherence assessments. MAIN OUTCOME MEASURES Adherence was measured by pill counts, twenty-four hour recall by patient, and refill history per computer record. Temporal changes in these adherence measures were assessed using general linear models for repeated measures. RESULTS Adherence was consistently greater for the experimental agent than for the statin therapy (n = 148). Mean pill count adherence for statin drug was 78.7 +/- 25.2% compared to 93.5 +/- 11.6% (P < 0.001) for the study agent. Refill history and twenty-four hour recall inaccurately measured adherence when compared to pill counts. Adherence, as determined by pill count, for both experimental (P = 0.029) and statin therapy (P = 0.015) showed significant variability across time in general linear models. Neither refill history nor twenty-four hour recall was sensitive to temporal changes. CONCLUSIONS Twenty-four hour recall and refill history inaccurately measure medication adherence for both clinical trial and clinical practice pharmacotherapies. Further, these measures are insensitive to changes in adherence. For a single or multiple assessments across time, pill count more accurately measures medication adherence. Pill count should be the standard for monitoring medication adherence for both clinical trials and clinical practice.
Collapse
|