Abstract
Introduction
Adherence to medication is generally defined as the extent to which people take medications as prescribed by their healthcare providers. It can be assessed in many ways (e.g., by self-reporting, pill counting, direct observation, electronic monitoring, or by pharmacy records). This review reports effects of intervention on adherence to cardiovascular medications however adherence has been measured.
Methods and outcomes
We conducted a systematic review and aimed to answer the following clinical question: What are the effects of interventions to improve adherence to long-term medication for cardiovascular disease in adults? We searched: Medline, Embase, The Cochrane Library, and other important databases up to April 2010 (Clinical Evidence reviews are updated periodically; please check our website for the most up-to-date version of this review). We included harms alerts from relevant organisations such as the US Food and Drug Administration (FDA) and the UK Medicines and Healthcare products Regulatory Agency (MHRA).
Results
We found 39 systematic reviews, RCTs, or observational studies that met our inclusion criteria. We performed a GRADE evaluation of the quality of evidence for interventions.
Conclusions
In this systematic review we present information relating to the effectiveness and safety of the following interventions: patient health education, prescriber education, prompting mechanisms, reminder packaging (calendar [blister] packs, multi-dose pill boxes), and simplified dosing.
Key Points
Adherence to medication is generally defined as the extent to which people take medications as prescribed by their healthcare providers.
It can be assessed in many ways (e.g., by self-reporting, pill counting, direct observation, electronic monitoring, or through pharmacy records). In this review, we have reported adherence to cardiovascular medications however it has been measured.
The RCTs we found used a variety of different interventions in different populations, measured adherence differently, and expressed and analysed results differently.
The diversity and complexity of interventions employed in RCTs makes it difficult to separate out any individual components that might be of benefit.
We found evidence that simplified dosing regimens may increase adherence compared with more complex regimens.
While simplifying the frequency of dosage may increase adherence, it is not known whether simplified regimens may increase adherence when someone is taking multiple drugs, as may be the case with cardiovascular medicines.
In altering a drug regimen simply to increase adherence, any changes could potentially affect the effectiveness of the treatment, and could also potentially increase adverse effects.
Prompting mechanisms may also increase adherence to medication.
Some prompting mechanisms may be simple and inexpensive (e.g., mailed reminders), while others (e.g., daily telephone calls, installing videophones) seem impracticable for use in routine practice.
Patient health education may also increase adherence to medication but more data are needed to draw conclusions.
Adherence behaviour is complex. Traditional education methods may fail to address this. However, more patient-centred approaches, particularly those that are nurse- or pharmacist-led, using video or telephone strategies, may be beneficial and require further investigation.
We found some evidence that a combination of strategies, such as education plus prompting, may be more successful than a single educational strategy.
We found no evidence from one RCT that reminder packaging (a calendar blister pack) was effective, and found insufficient evidence on other types of reminder packaging such as multi-dose pill boxes.
We found one RCT of prescriber education in a developing country, which showed that a 1-day intensive training session of general practitioners on hypertension improved medication adherence compared with usual care but these data are not generalisable to the range of people taking cardiovascular medication so we cannot draw firm conclusions about this intervention.
About this condition
Definition
Definition of adherence: Adherence to a medication regimen is generally defined as the extent to which people take medications as prescribed by their healthcare providers. Adherence, compliance, and concordance are often used interchangeably when studying health behaviour, but their meanings are in fact different, particularly in the context of RCTs examining interventions aimed at improving adherence. Adherence takes into account that people choose to take their medicines, have control over their use, and develop an agreement with healthcare professionals about their management. The main difference between the terms "adherence" and "compliance" is on a motivational level, with the latter suggesting that the patient is passively following the physician's orders, and that the treatment plan is not based on a therapeutic alliance or contract established between the patient and the physician. Unfortunately, the term "concordance" has occasionally, and not always appropriately, replaced the terms "compliance" or "adherence". "Concordance" aims to describe an agreement between patient and healthcare professional about the whole process of medication-taking as part of a wider consultation, rather than describing the specific extent to which medication is taken. For the purposes of this review, "adherence" will be defined as the extent to which people take medications as prescribed by their healthcare providers. The reporting of adherence varies, with some studies reporting adherence as a dichotomous outcome, and using an artificial cut-off point (e.g., 80% "adherent"), whereas other studies compare study arms using continuous outcomes (e.g., a count of pills taken of 75% v 91%). Measurement of adherence: The ideal measurement of adherence should: be usable over a prolonged period; be unobtrusive; be non-invasive; be practicable and cheap; yield immediate results; and not be open to manipulation. Based on these stringent criteria, the objective measurement of adherence is difficult, and poses a challenge for researchers and clinicians. Measurement of adherence can be divided into "direct" (which demonstrate drug ingestion) and "indirect" (which do not demonstrate drug ingestion) methods. Direct methods include observing people taking medication, or the measurement of medicine, metabolites, or biological markers in the blood. Although objective and accurate, direct adherence measures are often impractical or too expensive for the RCT setting. A variety of indirect adherence measures are commonly employed in RCTs, and each one has strengths and weaknesses. These include self-reporting by patients, prescribing data, pill counting, measurement of physiological markers, and electronic monitoring. Patient self-reporting of adherence is simple, inexpensive, and probably the most practical and useful in the clinical setting. It is, however, subject to considerable bias, as the person may wish to please the investigator, be worried about admitting to not taking medication, or simply not accurately remember. Prescribing data, such as the rate of prescription refills or cessation of refills (discontinuation rate), are easy to obtain through pharmacies, but require a closed-pharmacy system to be accurate, and cannot be regarded as equivalent to ingestion of medication. However, this information affords a useful proxy, and may be easier to measure over long follow-up periods. Pill counts provide a direct measure of adherence. However, they may be manipulated by people if they are aware that the pills are being counted (e.g., pill dumping), and it does not necessarily mean that medication has been taken at the correct time. Measurement of physiological markers (e.g., measuring heart rate in patients taking beta-blockers) is easy to perform, but is greatly limited by its assumption of a cause-and-effect relationship, which is rarely applicable. Electronic monitoring methods have greatly advanced recently and allow recordings of the timing and frequency of drug ingestion, which make them the only method to provide data on drug-taking patterns. However, they are expensive, and there is no guarantee that opening of the medication container is followed by ingestion of the correct dose. It could also be argued that placing an electronic cap to measure compliance is an intervention in itself as people are aware that they are being monitored (Hawthorne effect). This effect may or may not persist in the longer term when people become used to the electronic cap. Although electronic monitoring is closest to a "gold standard" in measuring adherence, it has so far been used mainly as a research tool owing to its relatively high cost.
Incidence/ Prevalence
Not applicable for this review.
Aetiology/ Risk factors
The reasons for not adhering to prescribed cardiovascular medication are complex, and non-adherence may lead to various sequelae. For example, the prescribing clinician may alter or discontinue a regimen believing it not to be working when, in fact, it may have been taken only inconsistently or not at all. Failure to adhere to a prescribed regimen may increase adverse effects from the regimen, in that medication is taken incorrectly, and may fail to improve symptoms from the underlying condition for which it was prescribed. Interventions to improve adherence: Interventions to improve adherence can potentially be divided into a variety of different categories or groupings. In this review we have grouped RCTs under the categories of: prescriber education; prompting mechanisms; patient health education; simplified dosing; and reminder packaging (blister packs and pill boxes), and have explained what we have included under each category where necessary. However, interventions to improve adherence are complex by nature and will often be combined in a multi-factorial or "complex intervention" approach. This approach is necessary as there are many factors that contribute to poor adherence, although this does make it difficult to tease out the individual components of many adherence interventions. Educational interventions can be directed at prescribers, patients, and their family members using written material, videotapes, or individual or group training. Prompting mechanisms are intended to stimulate medication-taking through mailed or telephoned reminders or through the use of electronic medication-reminder caps. Simplified dosing is intended to improve adherence through the reduction of dosing frequency (e.g., once-daily regimens v twice-daily regimens, or twice-daily regimens v 3-times-daily regimens). Reminder packaging falls into two distinct categories: those that are packaged in pill boxes (multi-compartment compliance aid, dose administration aid) or those that are pre-packaged into blister packs (calendar blister, unit dose, monitored dosage system). Definitions of terms relating to reminder packaging are reported in table 1 .
Table 1.
Definitions of different types of reminder packaging | ||
Pill boxes | 1 | Monitored dosage system (MDS): medications are manually packed into blister/bubble trays under the supervision of a pharmacist and then cold- or heat-sealed with foil. Examples of these systems are the Nomad® and Manrex®. Patients using an MDS are provided with weekly or monthly blister packs |
2 | Multi-compartment compliance aid (MCA) or dose administration aid: these are plastic trays or boxes that hold 7 days of a patient's medicine and are divided into days of the week. Each day of the week has a sliding lid, which covers compartments for different dosing times (usually 4 compartments for each day). They are commonly but not exclusively used for multiple medications. Examples of these are Dosett®, Medidos®, and the Mediset | |
Pre-packaged blister packs | 1 | Calendar blister: a blister package designed to aid a patient's memory by incorporating the day/time when each dose is to be taken into the package design |
2 | Unit dose: the prescribed amount of each dosage in a package. This type of packaging can incorporate a reminder system | |
3 | Unit of use: the exact amount of a drug treatment prepackaged by the manufacturer or pharmacist in standardised amounts. This type of packaging can incorporate a reminder system |
* Source: Heneghan CJ, Glasziou P, Perera R. Reminder packaging for improving adherence to self-administered long term medication. In: The Cochrane Library, Issue 3, 2010. Chichester, UK: John Wiley & Sons, Ltd. Search date 2004. Copyright Cochrane Collaboration, reproduced with permission.
Prognosis
Patterns of medication-taking behaviour and adherence: Patterns of medication-taking behaviour have been accurately described using electronic monitoring devices. Six general patterns of taking medication emerge among people treated for chronic illnesses who continue to take their medications: approximately one sixth come close to perfect adherence to a regimen; one sixth take nearly all doses, but with some timing irregularity; one sixth miss an occasional single day's dose and have some timing inconsistency; one sixth take drug holidays three to four times a year, with occasional omissions of doses; one sixth have a drug holiday monthly or more often, with frequent omissions of doses; and one sixth take few or no doses while giving the impression of good adherence. Most deviations in taking medication occur as omissions of doses (rather than additions) or delays in the timing of doses. Levels of adherence are poorly described, with those studies of higher quality limited by smaller numbers, and those studies of larger populations limited by crude measures of adherence. However, in terms of adherence to cardiovascular medication, most studies have examined adherence in relation to lipid-lowering drugs. It is evident that target cholesterol concentrations are only achieved in less than 50% of people receiving lipid-lowering drugs, and that only one in four people continue taking cholesterol-lowering drugs long term. In adherence studies of people without CHD taking lipid-lowering drugs for the purposes of primary prevention, discontinuation rates are higher compared with people taking lipid-lowering drugs for the purpose of secondary prevention, indicating a possible relationship between adherence and awareness of illness.
Aims of intervention
To increase adherence to cardiovascular medication in order to achieve treatment goals; to prevent relapse of disease; to reduce morbidity; to reduce mortality; to improve quality of life, with minimal adverse effects.
Outcomes
Adherence to medication, however measured. Adherence is often measured by pill count, prescription renewal requests, self-reporting, and electronic monitoring. Adverse effects.
Methods
Clinical Evidence search and appraisal April 2010. The following databases were used to identify studies for this systematic review: Medline 1966 to April 2010, Embase 1980 to April 2010, and The Cochrane Database of Systematic Reviews 2010, Issue 3 (1966 to date of issue). An additional search within The Cochrane Library was carried out for the Database of Abstracts of Reviews of Effects (DARE) and Health Technology Assessment (HTA). We also searched for retractions of studies included in the review. Abstracts of the studies retrieved from the initial search were assessed by an information specialist. Selected studies were then sent to the contributor for additional assessment, using predetermined criteria to identify relevant studies. In addition, we use a regular surveillance protocol to capture harms alerts from organisations such as the FDA and the MHRA, which are added to the reviews as required. Study design criteria for inclusion in this review were: published systematic reviews of RCTs and RCTs in any language, undertaken in adults. Further studies were identified from a search of bibliographies of identified systematic reviews. We included RCTs whatever the level of blinding (whether double-blind, single-blind, or open). RCTs had to contain at least 20 people in total, or at least 10 per study arm, of whom more than 80% were followed up. The minimum length of follow-up required to include studies was 6 weeks. We have included RCTs in people with CVD and excluded RCTs in mixed populations (i.e., RCTs that also included people with other diseases, in which people with CVD did not form the majority). We excluded RCTs in hospitalised people, and included RCTs in people in the community or seen as outpatients, who were responsible for administering their own medication. Difficulties in evaluating RCTs included analysing a multiplicity of different interventions and combinations of different elements that were not easily categorised. Therefore, in each treatment option, we have explicitly stated what we have included under that option heading. We have excluded RCTs that employed complex interventions (i.e., mixtures of different elements) in which the individual effects of our intervention of interest could not be separately assessed. We have also excluded RCTs that did not directly report adherence as an outcome, or reported an adherence outcome that was not clearly defined. There was a wide variation between RCTs in how adherence was measured (e.g., whether by pill count, self-reporting, electronic methods, or the number of repeat prescriptions obtained), with no standard method employed. We have therefore included RCTs however adherence was measured, but explicitly stated the adherence outcome measure employed in each RCT. We identified a number of systematic reviews that employed different inclusion criteria, and that categorised interventions in different groupings. The systematic reviews did not pool data because of differences between included RCTs (including study designs, interventions employed, and outcome measures assessed). We have therefore reported each of the RCTs included in the systematic reviews separately. Measures to increase adherence may or may not have adverse effects (e.g., regular contact and stressing the importance of medication and possible adverse effects of non-compliance may increase anxiety in some people). For adverse events we have reported harms data relating directly to the adherence intervention employed. We have not reported harms data relating to the drug treatments used, as adherence is our outcome of interest. The exception to this is in the simplified-dosing option, where we have reported drug adverse effects, as the intervention directly alters the drug regimen (e.g., to once-daily dosage, rather than twice-daily). Hence, in this case, differences in drug adverse effects between the regimens are due to the adherence intervention itself. To aid readability of the numerical data in our reviews, we round many percentages to the nearest whole number. Readers should be aware of this when relating percentages to summary statistics such as relative risks (RRs) and odds ratios (ORs). We have performed a GRADE evaluation of the quality of evidence for interventions included in this review (see table). The categorisation of the quality of the evidence (high, moderate, low, or very low) reflects the quality of evidence available for our chosen outcomes in our defined populations of interest. These categorisations are not necessarily a reflection of the overall methodological quality of any individual study, because the Clinical Evidence population and outcome of choice may represent only a small subset of the total outcomes reported, and population included, in any individual trial. For further details of how we perform the GRADE evaluation and the scoring system we use, please see our website (www.clinicalevidence.com).
Table.
Important outcomes | Adherence to medication | ||||||||
Studies (Participants) | Outcome | Comparison | Type of evidence | Quality | Consistency | Directness | Effect size | GRADE | Comment |
What are the effects of interventions to improve adherence to long-term medication for CVD in adults? | |||||||||
5 (1107) | Adherence to medication | Prompting mechanisms versus usual care | 4 | –2 | 0 | –2 | 0 | Very low | Quality points deducted for incomplete reporting of results and weak methods (method of randomisation not described, level of blinding not reported). Directness points deducted for diverse interventions affecting generalisability, and diverse range of outcome assessment and analysis |
2 (432) | Adherence to medication | Prompting mechanism plus usual care versus unit-of-use packaging plus usual care versus unit-of-use packaging plus prompting mechanism plus usual care versus usual care alone | 4 | –2 | 0 | –1 | 0 | Very low | Quality points deducted for incomplete reporting of results and weak methods (method of randomisation not described, level of blinding not reported). Directness point deducted for unclear intervention (unit-of-use intervention not fully defined) |
1 (453) | Adherence to medication | Prompting mechanism plus patient health education versus usual care | 4 | –1 | 0 | –1 | 0 | Low | Quality point deducted for weak methods (method of randomisation not described, level of blinding not reported). Directness point deducted for unclear validity of outcome assessment/single measure of adherence used |
6 (8155) | Adherence to medication | Simplified dosing regimens versus more complex regimens | 4 | –2 | 0 | –1 | 0 | Very low | Quality points deducted for weak methods (method of randomisation not described, level of blinding not reported) and inclusion of 2 crossover RCTs. Directness point deducted for diverse range of outcome assessment and analysis |
1 (200) | Adherence to medication | Prescriber education versus usual care | 4 | –1 | 0 | –1 | 0 | Low | Quality point deducted for uncertainty about randomisation method. Directness point deducted for restricted population (limited to a developing country) |
2 (265) | Adherence to medication | Calendar (blister) pack versus usual care | 4 | –2 | –1 | 0 | 0 | Very low | Quality points deducted for incomplete reporting of results and for weak methods (method of randomisation not described, level of blinding for outcome assessment not reported). Consistency point deducted for conflicting results |
13 (at least 5437) | Adherence to medication | Patient health education versus usual care | 4 | –2 | –1 | –2 | 0 | Very low | Quality points deducted for incomplete reporting of results and weak methods (method of randomisation not described, level of blinding not reported). Consistency point deducted for conflicting results. Directness points deducted for diverse interventions affecting generalisability and diverse range of outcome assessment and analysis |
We initially allocate 4 points to evidence from RCTs, and 2 points to evidence from observational studies. To attain the final GRADE score for a given comparison, points are deducted or added from this initial score based on preset criteria relating to the categories of quality, directness, consistency, and effect size. Quality: based on issues affecting methodological rigour (e.g., incomplete reporting of results, quasi-randomisation, sparse data [<200 people in the analysis]). Consistency: based on similarity of results across studies. Directness: based on generalisability of population or outcomes. Effect size: based on magnitude of effect as measured by statistics such as relative risk, odds ratio, or hazard ratio.
Glossary
- Fixed-dose combination
A formulation of two or more active ingredients combined in a single dosage form available in certain fixed doses.
- Low-quality evidence
Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
- Mini-Mental score
A score derived from the Folstein Mini Mental State Examination. This examination is used to evaluate dementia, and consists of a series of questions and tasks to assess a patient's orientation, attention, calculation, language, visuospatial, executive, and short-term memory abilities. The cut off for dementia is a score of less than 24 out of a possible 30.
- Very low-quality evidence
Any estimate of effect is very uncertain.
Disclaimer
The information contained in this publication is intended for medical professionals. Categories presented in Clinical Evidence indicate a judgement about the strength of the evidence available to our contributors prior to publication and the relevant importance of benefit and harms. We rely on our contributors to confirm the accuracy of the information presented and to adhere to describe accepted practices. Readers should be aware that professionals in the field may have different opinions. Because of this and regular advances in medical research we strongly recommend that readers' independently verify specified treatments and drugs including manufacturers' guidance. Also, the categories do not indicate whether a particular treatment is generally appropriate or whether it is suitable for a particular individual. Ultimately it is the readers' responsibility to make their own professional judgements, so to appropriately advise and treat their patients.To the fullest extent permitted by law, BMJ Publishing Group Limited and its editors are not responsible for any losses, injury or damage caused to any person or property (including under contract, by negligence, products liability or otherwise) whether they be direct or indirect, special, incidental or consequential, resulting from the application of the information in this publication.
Contributor Information
Liam Glynn, National University of Ireland, Galway, Ireland.
Tom Fahey, RCSI Medical School, Dublin, Ireland.
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