Assessing medication adherence: options to consider

Missed doses of oral antihyperglycemic medications in US adults with type 2 diabetes mellitus: prevalence and self-reported reasons

BACKGROUND

Adherence to antihyperglycemic medication is thought to be suboptimal, but the proportion of patients missing doses, the number of doses missed, and reasons for missing are not well described. This survey was conducted to estimate the prevalence of and reasons for missed doses of oral antihyperglycemic medications among US adults with type 2 diabetes mellitus, and to explore associations between missed doses and health outcomes.

METHODS

The study was a cross-sectional patient survey. Respondents were contacted via a commercial survey panel and completed an on-line questionnaire via the Internet. Respondents provided information about their use of oral antihyperglycemic medications including doses missed in the prior 4 weeks, personal characteristics, and health outcomes. Weights were calculated to project the prevalence to the US adult population with type 2 diabetes mellitus. Outcomes were compared according to number of doses missed in the past 4 weeks using bivariate statistics and generalized linear models.

RESULTS

Approximately 30% of adult patients with type 2 diabetes mellitus reported missing or reducing ≥1 dose of oral antihyperglycemic medication in the prior 4 weeks. Accidental missing was more commonly reported than purposeful skipping, with forgetting the most commonly reported reason. The timing of missed doses suggested respondents had also forgotten about doses missed, so the prevalence of missed doses is likely higher than reported. Outcomes were poorer among those who reported missing three or more doses in the prior 4 weeks.

CONCLUSIONS

A substantial number of US adults with type 2 diabetes mellitus miss doses of their oral antihyperglycemic medications.

Adherence to immunosuppressive therapy following liver transplantation: an integrative review

OBJECTIVE

to investigate the evidence available in the literature on non-adherence to immunosuppressive therapy among patients undergoing liver transplantation.

METHOD

integrative literature review, including research whose sample consisted of patients aged over 18 years undergoing liver transplantation. It excluded those containing patients undergoing multiple organ transplants. For the selection of articles, Medline / Pubmed, CINAHL, LILACS, Scopus and Embase were searched. The search period corresponded to the initial date of indexation of different bases, up to the deadline of February 10, 2015, using controlled and uncontrolled descriptors: liver transplantation, hepatic transplantation, liver orthotopic transplantation, medication adherence, medication non-adherence, medication compliance and patient compliance.

RESULTS

were located 191 investigations, 10 of which met the objectives of the study and were grouped into four categories, namely: educational process and non-adherence; non-adherence related to the number of daily doses of immunosuppressive medications; detection methods for non-adherence and side effects of therapy.

CONCLUSION

there were risk factors related to the health service, such as control and reduction of the number of doses; related to the individual, such as being male, divorced, alcohol or other substances user, exposed to low social support and being mentally ill.

Pharmaceutical services as a tool to improve outcomes in patients with cardiovascular diseases

Despite the presence of effective and safe pharmacotherapy, and availability of multidimensional non-pharmacological treatment, the overall rate of major adverse cardiovascular outcomes remains still unsatisfactory. The clinical pharmacy activities and pharmaceutical care available in the community pharmacy settings have a significant impact on outcomes in cardiovascular patients, e.g. adherence, the level of blood pressure, total cholesterol or patients' health literacy. Pharmaceutical care in patients diagnosed with cardiovascular diseases remains beneficial both to the patients and the entire health care system. However, the prediction of results of pharmacists' interventions is particularly difficult and random. Many factors contribute to outcomes of community pharmacy services, e.g. time spent with the patients or quality of communication between patients and healthcare professionals. The most important issue in delivering effective pharmaceutical care is to develop an evidence-based model. Globally, the development of interprofessional collaboration between physicians and pharmacists, and preparing more sophisticated pharmacoeconomics analyses in the scope of pharmaceutical care are the next step in the improvement of advanced pharmaceutical services. Further research, particularly based on real data on this highly interesting topic is needed and recommended.

Development of an algorithm for analysing the electronic measurement of medication adherence in routine HIV care

Background Medication adherence is crucial for successful treatment. Various methods exist for measuring adherence, including electronic drug monitoring, pharmacy refills, pill count, and interviews. These methods are not equivalent, and no method can be considered as the gold standard. A combination of methods is therefore recommended. Objective To develop an algorithm for the management of routinely collected adherence data and to compare persistence and implementation curves using post-algorithm data (reconciled data) versus raw electronic drug monitoring data. Setting A community pharmacy located within a university medical outpatient clinic in Lausanne, Switzerland. Methods The algorithm was developed to take advantage of the strengths of each available adherence measurement method, with electronic drug monitoring as a cornerstone to capture the dynamics of patient behaviour, pill count as a complementary objective method to detect any discrepancy between the number of openings measured by electronic monitoring and the number of pills ingested per opening, and annotated interviews to interpret the discrepancy. The algorithm was tested using data from patients taking lopinavir/r and having participated in an adherence-enhancing programme for more than 3 months. Main outcome measure Adherence was calculated as the percentage of persistent patients (persistence) and the proportion of days with correct dosing over time (implementation) from inclusion to the end of the median follow-up period. Results A 10-step algorithm was established. Among 2041 analysed inter-visit periods, 496 (24 %) were classified as inaccurate, among which 372 (75 %) could be reconciled. The average implementation values were 85 % (raw data) and 91 % (reconciled data) (p < 0.0001). At day 544, persistence values were 68 % (raw) and 82 % (reconciled) (p = 0.11), and adherence values were 74 % (raw) and 82 % (reconciled) (p < 0.0001). Conclusion Combining electronic drug monitoring, pill count and patient interviews is possible within the setting of a medication adherence clinic. Electronic drug monitoring underestimates medication adherence, affecting subsequent analysis of routinely collected adherence data. To ensure a set of reliable electronic drug monitoring data, structured and timely electronic drug monitoring management should be reinforced.

Toward appropriate criteria in medication adherence assessment in older persons: Position Paper

Nonadherence to medication regimens is a worldwide challenge; adherence rates range from 38 to 57 % in older populations with an average rate of less than 45 % and nonadherence contributes to adverse drug events, increased emergency visits and hospitalisations. Accurate measurement of medication adherence is important in terms of both research and clinical practice. However, the identification of an objective approach to measure nonadherence is still an ongoing challenge. The aim of this Position Paper is to describe the advantages and disadvantages of the known medication adherence tools (self-report, pill count, medication event monitoring system (MEMS) and electronic monitoring devices, therapeutic drug monitoring, pharmacy records based on pharmacy refill and pharmacy claims databases) to provide the appropriate criteria to assess medication adherence in older persons. To the best of our knowledge, no gold standard has been identified in adherence measurement and no single method is sufficiently reliable and accurate. A combination of methods appears to be the most suitable. Secondly, adherence assessment should always consider tools enabling polypharmacy adherence assessment. Moreover, it is increasingly evident that adherence, as a process, has to be assessed over time and not just at one evaluation time point (drug discontinuation). When cognitive deficits or functional impairments may impair reliability of adherence assessment, a comprehensive geriatric assessment should be performed and the caregiver involved. Finally, studies considering the possible implementation in clinical practice of adherence assessment tools validated in research are needed.

Development and validation of an instrument to assess treatment adherence for each individual drug taken by a patient

OBJECTIVE

To develop and validate an instrument to assess adherence to each individual drug taken by patients undergoing long-term treatment.

DESIGN

Multicentre prospective observational validation study.

SETTING

Six general practitioners' clinics and 6 university hospitals in Paris, France.

PARTICIPANTS

Patients 18 years and older receiving at least one long-term treatment.

METHODS

The instrument was developed from a literature search and interviews with experts. Clarity and wording were assessed during pilot testing with 51 patients. The tool was validated in a sample of consecutive patients. We assessed agreement between adherence measured with our tool and drug diaries and compared measurements from our instrument with (1) the Lu instrument; (2) the Adherence Estimator (AE); (3) patient's adherence assessed by physicians; (4) the Morisky Medication Adherence Scale-4 items (MMAS-4); and (5) the Treatment Burden Questionnaire (TBQ). Reliability was assessed by a test-retest method.

RESULTS

A total of 243 patients taking 961 drugs were recruited in 2014. We found good agreement between adherence measured by our tool and drug diaries (intraclass correlation coefficient (ICC) 0.69, 95% CI 0.34 to 0.91) and a linear relationship between measurement with our tool and (1) the Lu instrument (p<0.01); (2) 2 items of the AE (perceived need for medication (p<0.01) and concerns about medication (p<0.01)); (3) patients' adherence assessed by their physicians (p<0.01); (4) the MMAS-4 (p<0.01) and (5) the TBQ (p<0.01). Reliability of the retest was good (ICC 0.67, 95% CI 0.42 to 0.85).

CONCLUSIONS

We developed an instrument with acceptable validity and reliability to assess adherence for each drug taken by patients, usable in hospital and primary care settings.

Adherence to dipeptidyl peptidase-4 inhibitor therapy among type 2 diabetes patients with employer-sponsored health insurance in Japan

Aims/Introduction

Dipeptidyl peptidase‐4 inhibitors (DPP‐4i) are a common first‐line treatment for type 2 diabetes in Japan. However, little is known about patients’ medication adherence, persistence and discontinuation in this setting.

Materials and Methods

This was a retrospective cohort study of new DPP‐4i users in a Japanese claims database. Adult patients (age 18–65 years) with type 2 diabetes diagnosis and no diagnosis of other diabetes or pregnancy during the study period were included if they were prescribed a DPP‐4i as monotherapy or combination oral therapy. Adherence to therapy was measured using the proportion of days covered method over a fixed period of 1 year. The proportion of days covered of ≥80% was considered adherent. Persistence was defined as continuing index DPP‐4i treatment with <90‐day gap between refills. Patient baseline characteristics were explored as potential predictors of DPP‐4i discontinuation and adherence in multivariable models.

Results

The final sample contained 2,874 monotherapy and 3,016 dual therapy patients. The mean age was approximately 51 years, and 75% were men. The mean proportion of days covered was 76.6% among monotherapy patients and 82.5% among dual therapy patients, with 67.2% of monotherapy and 74.4% of dual therapy patients classified as adherent. At 12 months, 72.2% of monotherapy and 79.2% of dual therapy patients were persistent. In adjusted models, younger age and having fewer concomitant medications were significantly associated with lower adherence and higher discontinuation, in both treatment groups.

Conclusions

Those under the age of 45 years, and those with fewer concomitant medications were less likely to be adherent and persistent, and more likely to discontinue DPP‐4i therapy.

Why Do Patients with Chronic Inflammatory Rheumatic Diseases Discontinue Their Biologics? An Assessment of Patients’ Adherence Using a Self-report Questionnaire

Objective.

Concerns have been raised about nonadherence behavior among patients with chronic inflammatory rheumatic diseases (CIRD) receiving biologics. This nonadherence may be caused by various factors. The main objective was to explain why patients discontinue their biologics of their own accord.

Methods.

A quantitative and descriptive study was performed using a self-report questionnaire that was sent through the Internet to members of different patient associations. Sociodemographic data, medical and therapeutic history, management of biologic administration, previous experiences, and patients’ beliefs and perceptions about treatment efficacy and side effects were studied to explain self-discontinuation (SD).

Results.

A total of 581 patients answered the questionnaire between June 16, 2012, and July 4, 2012, including patients with ankylosing spondylitis (351/581, 60.4%), rheumatoid arthritis (196/581, 33.7%), psoriatic arthritis (30/581, 5.2%), and other CIRD (4/581, 0.7%). More than 1000 different biologics were described by the 581 patients, with a median of 2 lines per patient. Eighty-six patients discontinued their biologics of their own accord (14.8%). In a multivariate analysis, factors that were significantly related to SD were low level of pain, more than 1 line of biologics tried, self-administration of biologics, negative beliefs about the treatment, and a lack of medical and social support.

Conclusion.

Five predictive factors of this SD were identified, which should be assessed in routine with patients with CIRD receiving biologic treatment: pain, treatment history, self-administration of injections, negative beliefs about treatment, and a lack of perceived medical and social support.

Pharmacists' perspectives on monitoring adherence to treatment in Cystic Fibrosis

BACKGROUND

Cystic Fibrosis (CF) management requires complex treatment regimens but adherence to treatment is poor and has negative health implications. There are various methods of measuring adherence, but little is known regarding the extent of adherence measurement in CF centres throughout the UK and Ireland.

OBJECTIVE

To determine the adherence monitoring practices in CF centres throughout the UK and Ireland, and to establish CF pharmacists' views on these practices.

SETTING

UK and Ireland Cystic Fibrosis Pharmacists' Group's annual meeting (2014).

METHODS

A questionnaire was designed, piloted and distributed to pharmacists attending the UK and Ireland Cystic Fibrosis Pharmacists' Group's annual meeting (2014). The main outcome measures were the methods of inhaled/nebulised antibiotic supply and the methods used to measure treatment adherence in CF centres. The questionnaire also ascertained the demographic information of participating pharmacists. Closed question responses were analysed using descriptive statistics. Open questions were analysed using content analysis.

RESULTS

Twenty-one respondents (84 % response) were included in the analysis and were mostly from English centres (66.7 %). Detailed records of patients receiving their inhaled/nebulised antibiotics were lacking. Adherence was most commonly described to be measured at 'every clinic visit' (28.6 %) and 'occasionally' (28.6 %). Patient self-reported adherence was the most commonly used method of measuring adherence in practice (90.5 %). The availability of electronic adherence monitoring in CF centres did not guarantee its use. Pharmacists attributed an equal professional responsibility for adherence monitoring in CF to Consultants, Nurses and Pharmacists. Seventy-six percent of pharmacists felt that the current adherence monitoring practices within their own unit were inadequate and associated with the absence of sufficient specialist CF pharmacist involvement. Many suggested that greater specialist pharmacist involvement could facilitate improved adherence monitoring.

CONCLUSION

Current adherence knowledge is largely based on self-report. Further work is required to establish the most appropriate method of adherence monitoring in CF centres, to improve the recording of adherence and to understand the impact of increased specialist pharmacist involvement on that adherence.

Pharmacists' perspectives on monitoring adherence to treatment in Cystic Fibrosis

BACKGROUND

Cystic Fibrosis (CF) management requires complex treatment regimens but adherence to treatment is poor and has negative health implications. There are various methods of measuring adherence, but little is known regarding the extent of adherence measurement in CF centres throughout the UK and Ireland.

OBJECTIVE

To determine the adherence monitoring practices in CF centres throughout the UK and Ireland, and to establish CF pharmacists' views on these practices.

SETTING

UK and Ireland Cystic Fibrosis Pharmacists' Group's annual meeting (2014).

METHODS

A questionnaire was designed, piloted and distributed to pharmacists attending the UK and Ireland Cystic Fibrosis Pharmacists' Group's annual meeting (2014). The main outcome measures were the methods of inhaled/nebulised antibiotic supply and the methods used to measure treatment adherence in CF centres. The questionnaire also ascertained the demographic information of participating pharmacists. Closed question responses were analysed using descriptive statistics. Open questions were analysed using content analysis.

RESULTS

Twenty-one respondents (84 % response) were included in the analysis and were mostly from English centres (66.7 %). Detailed records of patients receiving their inhaled/nebulised antibiotics were lacking. Adherence was most commonly described to be measured at 'every clinic visit' (28.6 %) and 'occasionally' (28.6 %). Patient self-reported adherence was the most commonly used method of measuring adherence in practice (90.5 %). The availability of electronic adherence monitoring in CF centres did not guarantee its use. Pharmacists attributed an equal professional responsibility for adherence monitoring in CF to Consultants, Nurses and Pharmacists. Seventy-six percent of pharmacists felt that the current adherence monitoring practices within their own unit were inadequate and associated with the absence of sufficient specialist CF pharmacist involvement. Many suggested that greater specialist pharmacist involvement could facilitate improved adherence monitoring.

CONCLUSION

Current adherence knowledge is largely based on self-report. Further work is required to establish the most appropriate method of adherence monitoring in CF centres, to improve the recording of adherence and to understand the impact of increased specialist pharmacist involvement on that adherence.

Supporting adherence for people starting a new medication for a long-term condition through community pharmacies: a pragmatic randomised controlled trial of the New Medicine Service

OBJECTIVE

To examine the effectiveness of the New Medicine Service (NMS), a national community pharmacy service to support medicines-taking in people starting a new medicine for a long-term condition, compared with normal practice.

METHODS

Pragmatic patient-level parallel randomised controlled trial, in 46 community pharmacies in England. Patients 1:1 block randomisation stratified by drug/disease group within each pharmacy. 504 participants (NMS: 251) aged 14 years and over, identified in the pharmacy on presentation of a prescription for asthma/chronic obstructive pulmonary disease, hypertension, type 2 diabetes or an anticoagulant/antiplatelet agent. NMS intervention: One consultation 7-14 days after presentation of prescription followed by another 14-21 days thereafter to identify problems with treatment and provide support if needed. Controls received normal practice. Adherence, defined as missing no doses without the advice of a medical professional in the previous 7 days, was assessed through patient self-report at 10 weeks. Intention-to-treat analysis was employed, with outcome adjusted for recruiting pharmacy, NMS disease category, age, sex and medication count. Cost to the National Health Service (NHS) was collected.

RESULTS

At 10 weeks, 53 patients had withdrawn and 443 (85%) patients were contacted successfully by telephone. In the unadjusted analysis of 378 patients still taking the initial medicine, 61% (95% CI 54% to 67%) and 71% (95% CI 64% to 77%) patients were adherent in the normal practice and NMS arms, respectively (p=0.04 for difference). In the adjusted intention-to-treat analysis, the OR for increased adherence was 1.67 (95% CI 1.06 to 2.62; p=0.027) in favour of the NMS arm. There was a general trend to reduced NHS costs, albeit, statistically non-significant, for the NMS intervention: saving £21 (95% CI -£59 to £100, p=0.128) per patient.

CONCLUSIONS

The NMS significantly increased the proportion of patients adhering to their new medicine by about 10%, compared with normal practice.

TRIAL REGISTRATION NUMBERS

ClinicalTrials.gov trial reference number NCT01635361 (http://clinicaltrials.gov/ct2/show/NCT01635361). Current Controlled trials: trial reference number ISRCTN 23560818 (http://www.controlled-trials.com/ISRCTN23560818/; DOI 10.1186/ISRCTN23560818). UK Clinical Research Network (UKCRN) study 12494 (http://public.ukcrn.org.uk/Search/StudyDetail.aspx?StudyID=12494).

Retrospective analysis of drug utilization, health care resource use, and costs associated with IFN therapy for adjuvant treatment of malignant melanoma

Background

This study examines real-world drug utilization patterns, health care resource use, and costs among patients receiving adjuvant treatment with IFN versus patients receiving no treatment (“observation”) for malignant melanoma following surgery.

Methods

A retrospective cohort study was conducted using administrative claims from Truven Health Analytics (MarketScan^®) to identify all adjuvant melanoma patients (aged ≥18 years) diagnosed between June 2007 and June 2011 who had a lymph node dissection (ie, index surgery) and were treated with IFN or subsequently observed. Health care resource use and costs of services were converted to 2012 US dollars and were evaluated and compared using multivariable regression.

Results

Of 1,999 eligible subjects with melanoma surgery claims, 179 (9.0%) were treated with IFN and 1,820 (91.0%) were observed. The median duration (days) and number of doses of IFN therapy were 73 and 36, respectively. Among IFN-treated patients, only 10.6% completed ≥80% of maintenance therapy. The total average cost for patients treated with IFN was US$60,755±$3,972 (n=179); significantly higher than for patients undergoing observation ($31,641±$2,471; P<0.0001). Similar trends were observed when evaluating total cost components, including melanoma-related and non-melanoma–related medical costs. Among the melanoma-related medical costs, outpatient services, including office visits and laboratory testing, represented between 33% and 53% of total costs and demonstrated the largest difference between IFN-treated and observation patients. Outpatient service costs for IFN-treated patients were $32,414±$2,498, over three times greater than those for observation patients ($10,556±$1,128; P<0.0001).

Conclusion

The majority of adjuvant melanoma patients in this study was treated with observation versus IFN treatment. Among those who attempted IFN treatment, most could not complete the recommended course of therapy. Health care costs were significantly greater for patients treated with IFN, with the greatest differences being for melanoma-related medical cost components. These findings illustrate the significant economic burden borne by adjuvant melanoma patients and their health insurers.

The 8-item Morisky Medication Adherence Scale translated in German and validated against objective and subjective polypharmacy adherence measures in cardiovascular patients

RATIONALE, AIMS AND OBJECTIVES

To translate in German the 8-item Morisky Medication Adherence Scale (MMAS-8D). To validate it against objective and subjective measures of adherence in cardiovascular patients with polypharmacy.

METHODS

A standard forward-backward procedure was used to translate the MMAS-8 into German. Validation took place on a convenience sample of ambulatory patients on chronic antiplatelet therapy between June 2010 and June 2011. Objective adherence was obtained from electronically monitored multi-drug punch cards. Internal consistency was assessed using Cronbach's alpha coefficient, construct validity using exploratory factor analyses and correlations between MMAS-8D and related measures. Convergent validity was assessed with a subjective questionnaire about beliefs about medicines (BMQ Specific, two sub-scales).

RESULTS

A total of 70 patients were included (mean age 65.7 ± 9.9 years; 31.4% women). The mean score of the MMAS-8D was 7.5 (SD 0.8; range 4.5-8). Moderate internal consistency (alpha = 0.31) was observed due to multidimensionality of the scale. Factor analysis yielded four components that accounted for 71.7% of the total variance. Convergent validity was supported by significant correlations with BMQ Necessity (r = 0.31, P < 0.01), BMQ Concerns (r = -0.16, P < 0.05) and with electronic adherence reports (U-values 44 and 471, P < 0.05). Platelet aggregation values were within therapeutic range for 80% of the patients. Blood values of the antiplatelet agent within therapeutic range were associated with a higher MMAS-8D score (U-value 125, P < 0.05).

CONCLUSIONS

The German MMAS-8 appears to be a reliable instrument to catch medication adherence in cardiovascular patients. It may be useful in patients with chronic therapy for detecting non-adherence.

Age-related medication adherence in patients with chronic heart failure: A systematic literature review

BACKGROUND

Chronic heart failure (CHF) is prevalent among the elderly and is characterized by high mortality and hospitalization rates. Non-adherence to medications is frequent and related to poor clinical outcomes. It is often assumed that older age is related to poorer medication adherence compared with younger age. We analyzed the existing evidence of age as a determinant of medication adherence in patients with CHF.

METHODS

A systematic search of the bibliographic database MEDLINE and all Cochrane databases was performed. Studies were included if they examined medication adherence in adult patients with CHF, evaluated factors contributing to medication adherence, and analyzed the relationship between age and medication adherence. Articles classified as studies with poor quality were excluded.

RESULTS

A total of 1565 titles were found, and ultimately, 17 studies, which provide data for a total of 162,727 patients, were analyzed. Seven studies showed a statistically significant relationship between age and medication adherence: six articles demonstrated that increased age is correlated with higher medication adherence, and one study showed that patients in the age range of 57 to 64 years are affected by non-adherence to angiotensin-converting enzyme inhibitors. Ten studies found no significant relationship.

CONCLUSIONS

The results suggest that older age alone is not related to poorer medication adherence compared with younger patients with CHF. More attention should be paid to younger newly-diagnosed patients with CHF. Future studies are required to explore medication adherence in CHF in different, standardized, and specific age groups and should be sufficiently powered to assess clinical endpoints.

A systematic review of interventions addressing adherence to anti-diabetic medications in patients with type 2 diabetes--impact on adherence

Background

The global prevalence of diabetes is increasing. Medications are a recommended strategy to control hyperglycaemia. However, patient adherence can be variable, impacting health outcomes. A range of interventions for patients with type 2 diabetes have focused on improving treatment adherence. This review evaluates the impact of these interventions on adherence to anti-diabetic medications and focuses on the methods and tools used to measure adherence.

Method

Medline, Embase, CINAHL, IPA, PUBmed, and PsychINFO were searched for relevant articles published in 2000–2013, using appropriate search terms.

Results

Fifty two studies addressing adherence to anti-diabetic medications in patients with type 2 diabetes met the inclusion criteria and were reviewed. Each study was assessed for research design, method(s) used for measuring medication adherence, and impact of intervention on medication adherence and glycaemic control. Fourteen studies were published in 2000–2009 and 38 in 2010–2013. Twenty two interventions led to improvements in adherence to anti-diabetic medications, while only nine improved both medication adherence and glycaemic control. A single strategy could not be identified which would be guaranteed to improve anti-diabetic medication adherence consistently. Nonetheless, most interventions were successful in influencing one or more of the outcomes assessed, indicating the usefulness of these interventions under certain circumstances. Self-report, particularly the Summary of Diabetes Self-Care Activities questionnaire was the most commonly used tool to assess medication adherence, although other self-report tools were used in more recent studies. Overall, there was a slight increase in the number of studies that employed multiple methods to assess medication adherence in studies conducted after 2008.

Conclusion

The diversity of interventions and adherence measurements prevented a meta-analysis of the impact of interventions on adherence to therapy, highlighting the need for more consistency in methods in the area of adherence research. Whilst effective interventions were identified, it is not possible to conclude on an effective intervention that can be generalised to all patients with type 2 diabetes.

An evaluation of the impact of memory and mood on antiepileptic drug adherence

RATIONALE

Antiepileptic drugs are the mainstay of treatment for patients with epilepsy. Adherence to the prescribed regimen is a major factor in achieving a reduced seizure burden, which can decrease morbidity and mortality. Patients with epilepsy oftentimes complain about difficulty with memory. Because little is known about the relationship between memory and mood and adherence, the purpose of this project was to determine the impact of the confounding factors of memory and mood on antiepileptic drug adherence in patients with epilepsy.

METHODS

One hundred adult patients with epilepsy were recruited from the outpatient neurology clinic for this cross-sectional study. Patients who met the inclusion criteria completed measures of subjective memory (subset of 6 memory questions from the QOLIE-89) and objective memory (Hopkins Verbal Learning Test - Revised), subjective adherence (Morisky scale) and objective adherence (medication possession ratio), and mood (Neurological Disorders Depression Inventory for Epilepsy). Refill records from each patient's community pharmacy were used to objectively assess adherence. Medication possession ratios were calculated based on the antiepileptic drug refill records over the previous 6months. Patients were considered adherent if their MPR was >80%.

RESULTS

Women made up the majority of the sample (n=59), and, on average, patients had been living with epilepsy for nearly 20years. Approximately 40% of the sample were on antiepileptic drug monotherapy; most patients (>70%) took their antiepileptic drugs twice daily, and the mean number of total medications was 4.25±2.98. Based on the objective measure of adherence, 35% of the patients were nonadherent. Patients self-reported better adherence than what was objectively measured. Only the retention metric of the objective memory measure differentiated adherent patients from nonadherent patients. Patients in the adherent group had significantly lower depression scores (indicating better mood) compared with those in the nonadherent group (p=0.04).

CONCLUSIONS

Objective memory measures were not robustly correlated with adherence. However, we observed that patients with higher depressed mood scores were more likely to be nonadherent. By targeting patients with epilepsy and comorbid depression, practitioners may identify patients at greatest risk of nonadherence and subsequent harm.

Efficacy and safety of lersivirine versus etravirine for the treatment of HIV-1 infection in patients with prior non-nucleoside reverse transcriptase inhibitor (NNRTI) use and evidence of NNRTI resistance: a randomized phase 2B trial

OBJECTIVE

To assess the efficacy and safety of lersivirine versus etravirine in patients with HIV-1 and prior non-nucleoside reverse transcriptase inhibitor (NNRTI) use and evidence of NNRTI resistance.

METHODS

In this 96-week, phase 2b study, 97 patients were randomized and treated with lersivirine 750 mg qd (n = 31), lersivirine 1,000 mg qd (n = 32), and etravirine 200 mg bid (n = 34), plus one optimized nucleoside reverse transcriptase inhibitor and darunavir/ritonavir 600/100 mg bid. The primary endpoint was the percentage of patients with HIV-1 RNA <50 copies/mL at week 24.

RESULTS

At week 24, HIV-1 RNA <50 copies/mL was achieved by fewer patients receiving lersivirine 750 mg (48.4%) and 1,000 mg (43.8%) qd compared with etravirine 200 mg qd (67.7%) (intention to treat [ITT], missing/switch/discontinuation equals failure [MSDF]). At week 48, HIV-1 RNA <50 copies/mL and <400 copies/mL were also achieved by fewer patients receiving lersivirine 750 mg (41.9% and 41.9%, respectively) and 1,000 mg (31.3% and 34.4%, respectively) qd compared with etravirine 200 mg bid (61.8% and 70.6%, respectively) (ITT, MSDF). Least squares means (SE) change from baseline in log transformed HIV-1 RNA at week 48 was -1.42 (0.27) and -0.95 (0.28) copies/mL for lersivirine 750 mg and 1,000 mg qd, respectively, versus -2.02 (0.26) copies/mL for etravirine 200 mg bid (ITT). Lersivirine and etravirine were generally safe and well-tolerated.

CONCLUSIONS

Lersivirine 750 mg and 1,000 mg qd was associated with lower rates of viral suppression at week 24 and week 48 versus etravirine in patients with prior NNRTI use and evidence of NNRTI resistance. No new safety signals were detected.

Does adherence therapy improve medication adherence among patients with schizophrenia? A systematic review

Non-adherence to medication is highly prevalent in patients with schizophrenia. Adherence therapy aims to improve medication adherence of these patients by applying techniques of cognitive behavioural therapy, psycho-education, and motivational interviewing. Even though adherence therapy is frequently discussed and researched, its effectiveness is still uncertain. This paper aims to review the effectiveness of adherence therapy on the medication adherence of patients with schizophrenia. To this end, six electronic databases were systematically searched for randomized, controlled trials on adherence therapy from January 2002 to March 2013. Four trials met the inclusion criteria and were incorporated into the review. The findings suggest that adherence therapy does not improve patients' medication adherence in comparison to treatment as usual or a control intervention. However, all the studies reviewed showed high-adherence ratings at baseline. Thus, further well-designed studies that target adherence therapy to patients who are non-adherent to their medication are needed for a more profound understanding of its effectiveness. In addition, if adherence therapy is aimed not only at improving medication adherence, but also to reach an agreement whereby the patient's decision not to take his medication is accepted, the shared decision-making process needs to be assessed as well.

Dried blood spot analysis to assess medication adherence and to inform personalization of treatment

Little research using dried blood spot samples to assess adherence to medication has been reported. The World Health Organisation estimates that only half of the patients in the developed world take their medication as prescribed. Additional costs to the healthcare provider include wasted medicines, avoidable additional hospital visits and non-optimum patient care. There is little evidence of information concerning medication adherence being made available to inform clinical decision making. In this article we explore the potential of the dried blood spot sample collection methodology as a means of identifying medication adherence to facilitate medicines optimization for a range of disparate diseases. Furthermore, the opportunity to personalize healthcare for different patients by assessing the clinically necessary therapeutic level of the relevant drugs is highlighted.

Treatment adherence and other patient-reported outcomes as cost determinants in multiple sclerosis: a review of the literature

BACKGROUND

Treatment adherence is one of the key factors for achieving optimal clinical outcomes. In order to assess costs related to adherence to, and persistence and compliance with, disease-modifying therapies (DMTs) in patients with multiple sclerosis (MS), a narrative review of the literature was performed. Satisfaction with and preference for DMTs and their delivery devices were also assessed, as both can have an influence on patients' adherence and persistence.

METHODS

Electronic databases (MEDLINE, PubMed, Google Scholar, congress proceedings) were searched to identify publications analyzing MS costs related to adherence, persistence, satisfaction, and preferences for MS treatments. Bibliographic references were hand searched. English or Spanish studies published between January 2007 and January 2013 were selected.

RESULTS

A total of 398 titles were identified, of which 12 met the inclusion criteria. Six studies evaluated the impact of adherence, persistence, and compliance on treatment costs; four publications analyzed satisfaction with DMTs; and two assessed treatment preferences based on attributes of the delivery device. Increased adherence and persistence were associated with better clinical outcomes, leading to lower relapse risk (odds ratio [OR]: 0.71; 95% confidence interval [CI]: 0.59-0.85) and a decrease in health care resource use, such as MS-related hospitalizations (OR: 0.63; 95% CI: 0.47-0.83) and emergency department visits (OR: 0.80; 95% CI: 0.60-1.07). This reduction in resource use led to a patient/year total cost reduction (excluding DMT costs) of up to 22%.

CONCLUSION

This review highlights the importance of ensuring adequate adherence in MS patients through treatments and devices better tailored to patients' needs that could enhance clinical outcomes and reduce MS costs. Understanding the factors underlying satisfaction and compliance with treatment and patients' preference for certain therapies could help in the development of strategies that can improve adherence.

Adherence: the journey of medication taking, are we there yet?

Patient adherence to medications has been an issue challenging healthcare professionals for decades. Adherence rates, causes of non-adherence, barriers and enablers to medication taking, interventions to promote adherence, and the impact of non-adherence on health outcomes, have been extensively studied. In light of this, the area of adherence research has progressed conceptually and practically. This special issue contains a range of articles which focus on different aspects of adherence, from standardising terminology and methods of measurement, to non-adherence in a broad range of patient populations, and to interventions to promote adherence.