| Literature DB >> 18229563 |
Johnson George1, David C M Kong, Kay Stewart.
Abstract
The management of COPD is complex and patient adherence to treatment recommendations is known to be poor. In this paper the methods used for evaluating adherence in COPD are compared. Self-reporting has satisfactory reliability and offers a cheap, simple and easy method for assessing adherent behaviors. Unlike the objective measures of adherence such as electronic monitoring, self-reporting helps in identifying the reasons for nonadherence, which in turn would be useful in addressing adherence issues. Patients do not follow their treatment recommendations either intentionally or unintentionally. Intentional deviations are driven by patient beliefs and experiences about illness and treatment, which are in turn influenced by social and cultural factors. Unintentional deviations are often due to cognitive impairment and lack of routines. Factors associated with adherence in COPD have been explained using the Becker-Maiman model. Strategies for overcoming nonadherence have to be formulated based on the nature and reasons for nonadherence. In the event of unintentional nonadherence, the use of adherence aids like Dosette boxes, calendar packs and reminders should be promoted. Understanding patient beliefs and experiences, patient education focusing on the pathology of COPD and the role of treatment, periodic monitoring and reinforcement are critical for overcoming the barriers of intentional nonadherence.Entities:
Mesh:
Year: 2007 PMID: 18229563 PMCID: PMC2695203
Source DB: PubMed Journal: Int J Chron Obstruct Pulmon Dis ISSN: 1176-9106
Methods for studying adherence in patients with chronic respiratory disease
| Inhaler weights( | Patients are asked to produce all their used inhaled medication canisters at the time of clinic or home visit, which are weighed using a balance with high sensitivity and precision. | Patients might fail to produce all the used canisters; does not reflect adherence distribution over time; difficult to distinguish ‘test’ puffs from inhaled puffs; unable to identify ‘overfills’ in the canister leading to wrong findings; deliberate canister emptying prior to follow-up is possible; weighing the canisters is inconvenient. |
| Self-report on medication utilization ( | Patients are asked specific questions about the drug usage pattern such as doses missed, prescribed and used doses in the past or over a definite time period. | Patients might overestimate adherence to impress their health professionals; limited by patients’ ability to recall the events. |
| Medication adherence questionnaire ( | Specific questions on intentional and unintentional deviations from the recommended management eg, Morisky’s scale ( | Does not include all the factors influencing adherence; some questions could be confusing for patients on respiratory medications to be used on a ‘when needed’ (prn) basis; reliability needs to be tested in individual patient populations. |
| Electronic monitoring eg, Datalogger, Chronolog, clock counters, MEMS (medication event monitoring system) cap ( | Microprocessors or data-loggers record the date and time of medication use events, such as opening the cap of a bottle or release of medication from the container. | Expensive; could be obtrusive; unethical to use without prior information to patients; could alter the natural adherence pattern in patients who are aware of the technology; confirms only medication withdrawal not administration; cannot identify multiple medication withdrawal of solid dosage forms; monitor might dysfunction; not available for adherence assessment of all dosage forms; helpful in identifying dose dumping; more suitable for use in clinical trial settings than for routine clinical purposes. |
| Inhalation technique assessment ( | Assessment of inhalation technique by one or more raters or objective rating using a flow sensor. | Rater assessments are subjective; depends on the expertise of rater(s); possibility of high inter- and intra-rater variability; utilization pattern in real life might be different to that during demonstration to the raters; should be combined with other measures to study medication taking behavior. |
| Medication or pill count ( | Patients are asked to produce their medications during the clinic or home visit, which are counted. | Intrusive; tedious process especially with multiple medications; does not reflect adherence distribution over time; patients might forget to bring in used medication containers; could dump medications before clinic visit. |
| Pharmacy refill data or claims data ( | Medication refill histories or purchase data from pharmacies or claims data from the insurer. | Patients might not take their drugs despite having the prescriptions refilled; might not reflect the actual medication utilization (can hoard drugs); collection of information could be limited by privacy legislation; useful only for prescription medications; assessment is difficult in patients with multi-pharmacy patronage. |
| Daily diary ( | Patients record their daily medication usage or readings from monitoring devices (eg, peak-flow meter) or thera peutic response or symptoms in a diary. | Vulnerable to patient deceit; patients might forget to fill in diaries regularly. |
| In-depth, structured or semi-structured interviews ( | Interviews are conducted by a trained interviewer on a purposive sample based on an interview guide, which are often audio-taped, transcribed and analyzed for content and themes. | Data collection and analysis is time consuming; needs skills for interviewing; use sociological theories for data analysis and interpretation; findings are not assessed based on statistical significance; investigator will have flexibility on the depth and extent of the information being gathered. |
| Biological assays ( | Measurement of a drug or an agent (eg, nicotine) or their metabolites or markers in biological fluids. | Some techniques are invasive; assays are not available for all medications; drug interactions might alter drug levels (eg, smoking and theophylline levels). |
Factors associated with medication nonadherence: Becker-Maiman model
| Motivations | |
Concern about health matters in general Willingness to seek and accept medical direction Intention to comply Positive health activities | Perceived lack of need for medications ( |
| Value of illness threat reduction | |
Susceptibility or resusceptibility (incl. belief in diagnosis) Vulnerability to illness in general Extent of possible bodily harm (at motivating, but not inhibiting, levels) Extent of possible interference with social roles (at motivating, but not inhibiting, levels) Presence of (or past experience with) symptoms | Severity of respiratory symptoms and lung function predicted adherence to nebulizer ( |
| Probability that compliant behavior will reduce the threat | |
Proposed regimen’s safety Proposed regimen’s efficacy to prevent, delay or cure (including ‘faith in doctors and medical care’ and ‘chance of recovery’) | Greater understanding about COPD and its management, and greater confidence that the current management would keep illness under control were found to be associated with better adherence ( |
| Demographic factors
| Cognitive impairment and memory loss, characteristic features of old age, were associated with poor adherence to medication regimens in ambulatory patients ( |
| Structural factors
| Increasing cost of cigarettes and affordability of smoking cessation therapies were facilitators for smoking cessation ( |
| Attitudes
| Adherent patients were more satisfied with their treatment and doctors than their nonadherent counterparts.( |
| Interaction
| Follow-up education ( |
| Enabling factors
| Lack of effect or perceived benefit from treatment ( |