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 overview reports effects of prompting mechanisms on adherence to cardiovascular medications, however adherence has been measured.
Methods and outcomes
We conducted a systematic overview, aiming to answer the following clinical question: What are the effects of prompting mechanisms 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 May 2014 (BMJ Clinical Evidence reviews are updated periodically; please check our website for the most up-to-date version of this review).
Results
At this update, searching of electronic databases retrieved 174 studies. After deduplication and removal of conference abstracts, 80 records were screened for inclusion in the overview. Appraisal of titles and abstracts led to the exclusion of 45 studies and the further review of 35 full publications. Of the 35 full articles evaluated, one RCT was added at this update. We performed a GRADE evaluation of seven PICO combinations.
Conclusions
In this systematic overview, we categorised the efficacy for seven comparisons based on information relating to the effectiveness and safety of prompting mechanisms, alone and in combination with reminder packaging or patient education.
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 overview, 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 make it difficult to separate out any individual components that might be of benefit.
Prompting mechanisms may 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.
We don't know how prompting mechanisms compare to reminder packaging or patient education as we found insufficient evidence.
Reminder packaging or patient education in addition to prompting mechanisms may also increase adherence to medication, but more data are needed to enable conclusions to be drawn.
Clinical context
General background
Adherence is defined as the extent to which people take medications as prescribed by their healthcare providers. Adherence rates are variable, but are generally recognised to be low for long-term medication, which means that the majority of people on long-term medication regimens will not get the full benefit from what are often costly treatments. Healthcare providers are slow to identify poor adherence, and interventions to improve adherence have mixed results and are often very costly. This overview examines the effects of prompting mechanisms on adherence to cardiovascular medications in adults in the community.
Focus of the review
This overview included evidence on interventions to improve adherence to cardiovascular medication using prompting mechanisms alone or together with other interventions, namely reminder packaging and patient education. There is a specific focus on prompting mechanisms as there is new research emerging in this area taking advantage of newer technologies such as mobile and hand-held devices, which are now widespread.
Comments on evidence
We found 12 studies that met our inclusion criteria, at least one RCT on each of our treatments of interest. However, the diversity and complexity of interventions employed in RCTs makes it difficult to separate out any individual components that might be of benefit. There is a small amount of evidence for effect with prompting mechanisms alone versus control, but several of these interventions remain impracticable for use in routine clinical practice. Newer technologies, now widely available, may be able to provide cheap and scalable interventions, but the evidence base around effectiveness has yet to catch up with such developments.
Search and appraisal summary
The update literature search for this review was carried out from the date of the last search, April 2010, to May 2014. For more information on the electronic databases searched and criteria applied during assessment of studies for potential relevance to the review, please see the Methods section. Searching of electronic databases retrieved 174 studies. After deduplication and removal of conference abstracts, 80 records were screened for inclusion in the review. Appraisal of titles and abstracts led to the exclusion of 45 studies and the further review of 35 full publications. Of the 35 full articles evaluated, one RCT was added at this update.
Additional information
With the widespread availability of mobile and handheld devices, the use of SMS and applications (or apps) focused on improving adherence to medication generally is an additional area of research. These developments hold some promise, but little evidence has so far emerged.
About this condition
Definition
Definition 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 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. Prompting mechanisms A prompting mechanism is any tool (e.g., email, SMS, apps, or electronic medication cap) that is used to propel medication-taking via a reminder process.
Incidence/ Prevalence
Not applicable for this overview.
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: prompting mechanisms; prompting mechanisms plus reminder packaging (blister packs and pill boxes); and prompting mechanisms plus patient education. We 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. Prompting mechanisms are intended to stimulate medication-taking through mailed or telephoned reminders or through the use of electronic medication-reminder caps. Educational interventions can be written material, videotapes, or individual or group training. 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*
| 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
Search strategy BMJ Clinical Evidence search and appraisal May 2014. Databases used to identify studies for this systematic overview include: Medline 1966 to May 2014, Embase 1980 to May 2014, The Cochrane Database of Systematic Reviews 2014, issue 8 (1966 to date of issue), the Database of Abstracts of Reviews of Effects (DARE), and the Health Technology Assessment (HTA) database. Inclusion criteria Study design criteria for inclusion in this review were systematic reviews and RCTs published in English. Open label studies were included. RCTs had to include 20 or more individuals (10 in each arm), and to follow up at least 80% of people enrolled. The minimum length of follow-up required for inclusion was 6 weeks. RCTs that used complex interventions (i.e., mixtures of different elements in which the individual effects of our intervention of interest could not be separately assessed) were excluded. Additionally, an RCT was excluded if it did not report adherence directly 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 have included RCTs in people with cardiovascular disease (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. BMJ Clinical Evidence does not necessarily report every study found (e.g., every systematic review). Rather, we report the most recent, relevant and comprehensive studies identified through an agreed process involving our evidence team, editorial team, and expert contributors. Evidence evaluation A systematic literature search was conducted by our evidence team, who then assessed titles and abstracts, and finally selected articles for full text appraisal against inclusion and exclusion criteria agreed a priori with our expert contributors. In consultation with the expert contributors, studies were selected for inclusion and all data relevant to this overview extracted into the benefits and harms section of the review. In addition, information that did not meet our predefined criteria for inclusion in the benefits and harms section, may have been reported in the 'Further information on studies' or 'Comment' section. Adverse effects 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. Although BMJ Clinical Evidence presents data on selected adverse effects reported in included studies, it is not meant to be, and cannot be, a comprehensive list of all adverse effects, contraindications, or interactions of included drugs or interventions. A reliable national or local drug database must be consulted for this information. Comment and Clinical guide sections In the Comment section of each intervention, our expert contributors may have provided additional comment and analysis of the evidence, which may include additional studies (over and above those identified via our systematic search) by way of background data or supporting information. As BMJ Clinical Evidence does not systematically search for studies reported in the Comment section, we cannot guarantee the completeness of the studies listed there or the robustness of methods. Our expert contributors add clinical context and interpretation to the Clinical guide sections where appropriate. Data and quality 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). BMJ Clinical Evidence does not report all methodological details of included studies. Rather, it reports by exception any methodological issue or more general issue which may affect the weight a reader may put on an individual study, or the generalisability of the result. These issues may be reflected in the overall GRADE analysis. 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.
GRADE Evaluation of interventions for Cardiovascular medication: improving adherence using prompting mechanisms.
| Important outcomes | Adherence to medication | ||||||||
| Studies (Participants) | Outcome | Comparison | Type of evidence | Quality | Consistency | Directness | Effect size | GRADE | Comment |
| What are the effects of prompting mechanisms to improve adherence to long-term medication for cardiovascular disease in adults? | |||||||||
| 8 (1410) | Adherence to medication | Prompting mechanisms versus control | 4 | –2 | 0 | –2 | 0 | Very low | Quality points deducted for incomplete reporting of results and weak methods (method of randomisation and level of blinding not reported in 7 out of 8 studies); directness points deducted for diverse interventions affecting generalisability, and diverse range of outcome assessment and analysis |
| 1 (216) | Adherence to medication | Prompting mechanisms versus patient education | 4 | –1 | 0 | –1 | 0 | Low | Quality point deducted for incomplete reporting of results; directness point deducted for lack of statistical analysis |
| 2 (222) | Adherence to medication | Prompting mechanisms versus reminder packaging | 4 | –2 | 0 | –1 | 0 | Very low | Quality points deducted for incomplete reporting of results and weak methods (method of randomisation and level of blinding not reported); directness point deducted for unclear intervention (unit-of-use intervention not fully defined) |
| 2 (210) | Adherence to medication | Prompting mechanisms plus reminder packaging versus control | 4 | –2 | 0 | –1 | 0 | Very low | Quality points deducted for incomplete reporting of results and weak methods (method of randomisation and level of blinding not reported); directness point deducted for unclear intervention (unit-of-use intervention not fully defined) |
| 2 (217) | Adherence to medication | Prompting mechanisms plus reminder packaging versus reminder packaging alone | 4 | –2 | 0 | –1 | 0 | Very low | Quality points deducted for incomplete reporting of results and weak methods (method of randomisation and level of blinding not reported); directness point deducted for unclear intervention (unit-of-use intervention not fully defined) |
| 2 (657) | Adherence to medication | Prompting mechanism plus patient education versus control | 4 | –2 | 0 | –1 | 0 | Very low | Quality point deducted for weak methods (method of randomisation not described, level of blinding not reported) and incomplete reporting of results; directness point deducted for unclear validity of outcome assessment/single measure of adherence used |
| 1 (228) | Adherence to medication | Prompting mechanisms plus patient education versus patient education alone | 4 | –1 | 0 | –1 | 0 | Low | Quality point deducted for incomplete reporting of results; directness point deducted for lack of statistical 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
- 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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