Exploring Validated Self-Reported Instruments to Assess Adherence to Medications Used: A Review Comparing Existing Instruments

Interventions to improve medication adherence in persons with mental disorders

PURPOSE OF REVIEW

Nonadherence to medication is prevalent in patients with mental illness. Various factors responsible for it. As a result, there are more hospitalizations, increased risk of suicide and increased cost of care. Thus, there is a need for effective interventions to improve adherence in mentally ill patients.

RECENT FINDINGS

Adherence to medication includes participation of patient in decision making. Interventions in the recent years help patients through techniques like psychoeducation, motivational interviewing and cognitive behaviour therapy. Interventions involve both patients and caregivers. There is a growing body of research about use of technology -based interventions using smart phones, various applications, digital platforms and artificial intelligence. Recent findings of research indicate that a combination of methods of intervention may be more useful in improving adherence. Some conventional interventions yield good results. Robust research is needed in the field of technology- based interventions.

SUMMARY

Non adherence to medication leads to poorer health outcomes and hampers integration of the patient in the society. A collaborative effort of the team of healthcare providers, the patient and caregivers is the way ahead for better adherence and good quality of life.

Preadmission medications and recent falls in older inpatients: an observational study

BACKGROUND

Falls in older adults might increase due to polypharmacy.

AIM

This study aimed to explore the association between preadmission medications and history of falls in older inpatients.

METHOD

This observational study of inpatients aged ≥ 65 years was conducted over 4 years at Ballina Hospital, Australia. The Medication Regimen Complexity Index (MRCI), Drug Burden Index (DBI), and Anticholinergic Effect on Cognition (AEC) scores were calculated for preadmission medications. Polypharmacy and falls questionnaires were administered to identify falls in the past 6 months and aptitude toward medication use.

RESULTS

Overall, 194 participants with a mean age of 80.2 (SD 8.0) years were included. The mean daily number of regular medications was 7.8 (SD 3.9) and the mean MRCI score was 22 (SD 12.6). Among the participants, 107 (55%) reported falls in the past 6 months and 47 (24%) reported ≥ 2 falls. Age and hearing impairment were positively associated with falls (p = 0.007 and p = 0.003, respectively). History of falls was positively associated with a MRCI score of ≥ 20 (p = 0.018), an AEC score of ≥ 2 (p = 0.010) and a DBI score of ≥ 1 after adjustment for age (p = 0.041). Forgetting medications was associated with falls (p = 0.043). Antihypertensive use did not increase falls risk.

CONCLUSION

Implementing a decisive approach to simplify complex medication regimens, along with patient-focused medication management strategies, may help reduce the risk of falls in older adults. Sedatives and anticholinergic medications increase the risk of falls and should be avoided whenever possible.

Experience of Using Electronic Inhaler Monitoring Devices for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review of Qualitative Studies

Background

Electronic inhaler monitoring devices (EIMDs) can enhance medication adherence in patients with chronic obstructive pulmonary disease (COPD) and asthma, yet patient perceptions and experiences with these devices vary widely. A systematic qualitative synthesis is required to comprehensively understand patient perspectives on EIMDs, to lay the foundation for developing strategies to improve patient compliance.

Objective

This study aims to systematically evaluate qualitative studies on the experiences of patients with COPD and asthma using EIMDs, providing insights to support their clinical application and improve patient engagement.

Methods

This review synthesized qualitative data from reports found through a systematic search of PubMed, Web of Science, CINAHL, Embase, Cochrane Library, and PsycInfo from January 1983 to July 2024. The reports assessed patient experiences with EIMDs for COPD and asthma. The quality of the included reports was appraised using the Critical Appraisal Skills Program criteria developed by the Centre for Evidence-Based Medicine, University of Oxford, UK.

Results

A total of 7 reports were included, encompassing data from 44 patients with COPD and 146 with asthma. Findings were organized into 9 sub-themes and 3 themes: positive experiences with EIMDs (usability and easy acceptance, enhanced self-management); stresses and challenges of using these devices (negative emotional stress, device trust issues, social difficulties, economic burdens, and technical challenges); and patient expectations from these devices (expectations related to device construction and function and external support).

Conclusions

Patients have positive experiences using electronic monitoring devices for inhalation devices but also face various social, psychological, and technical challenges. Health care workers should consider patient experiences with EIMDs to tailor these devices to patient needs, ultimately enhancing device acceptance and adherence. Further research should focus on increasing EIMDs convenience and usability for patients with COPD and asthma.

The Impact of Illness Perception on Medication Adherence to Inhaler Therapy in Elderly Individuals With COPD

Background: Medication adherence to inhaler therapy is pivotal for optimizing the management of COPD. Individuals with COPD often have suboptimal adherence behaviors to inhaler therapy. Illness perception and beliefs about medicines have been proved to be associated with medication adherence. Nevertheless, the influence of illness perception and medication beliefs on adherence to inhaler therapy among elderly individuals with COPD in China remains unclear. Methods: A cross-sectional study was conducted in 252 elderly subjects with COPD in China from June 2022-September 2023. The Test of Adherence to Inhalers, the Brief Illness Perception Questionnaire, and the Belief About Medicines Questionnaire (BMQ) were utilized. Spearman correlations, regression analysis, and parallel mediation analysis were employed to assess the correlations and mediating effects among beliefs about medicines, illness perception, and medication adherence to inhaler therapy. Results: Medication adherence to inhaler therapy exhibited a negative correlation with concerns beliefs, while showing positive correlations with illness perception, necessity beliefs, and total BMQ scores. Mediating effects of concerns beliefs and necessity beliefs were observed in the relationship between perception of illness and medication adherence to inhaler therapy. Conclusions: This study suggests that essential interventions targeting beliefs about medicines in elderly individuals with COPD should be implemented to optimize the level of their inhaler adherence, particularly in those with low levels of necessity beliefs or high levels of concerns beliefs.

Development of oral oncolytic nonadherence estimator (ORACLE): A pretreatment nonadherence risk assessment for oral oncolytics

INTRODUCTION

To date, there is no adherence estimator to identify risk of nonadherence prior to initiating oral oncolytics.

METHODS

A workgroup was assembled through the National Community Oncology Dispensing Association and tasked with creating a tool to meet this need. Tool constructs were defined after a review of the literature identifying top barriers to adherence. A second literature search was conducted to identify questions targeting specific barriers from validated adherence questionnaires. Once a finalized draft was complete, the risk assessment tool was built into an electronic survey where a risk category can be automatically calculated for the patient.

RESULTS

The six most impactful factors affecting compliance to oral oncolytics were identified as patient's confidence, health literacy, perception of treatment, quality of life, social support, and complexity of chemotherapy regimen. A six-item questionnaire was created with five patient-directed questions and one clinician-directed question. Examples and descriptions were provided for clinicians to consider when categorizing complexity of a regimen. The tool was designed for responses to each question to be indexed into categories through a 10-point system. Results will be stratified into low, moderate, or high risk for nonadherence.

CONCLUSION

The creation of a tool to predict nonadherence prior to starting therapy is an unmet need for patients initiating oral oncolytics. The aim of this tool is to meet those needs and better guide clinicians to provide patients with strategies to better manage nonadherence. Next steps include tool validation and piloting in clinical practice.

Wearable devices for out-of-hospital cardiac arrest: A population survey on the willingness to adhere

Objectives

When an out-of-hospital cardiac arrest (OHCA) occurs, the first step in the chain of survival is detection. However, 75% of OHCAs are unwitnessed, representing the largest barrier to activating the chain of survival. Wearable devices have the potential to be "artificial bystanders," detecting OHCA and alerting 9-1-1. We sought to understand factors impacting users' willingness for continuous use of a wearable device through an online survey to inform future use of these systems for automated OHCA detection.

Methods

Data were collected from October 2022 to June 2023 through voluntary response sampling. The survey investigated user convenience and perception of urgency to understand design preferences and willingness to adhere to continuous wearable use across different hypothetical risk levels. Associations between categorical variables and willingness were evaluated through nonparametric tests. Logistic models were fit to evaluate the association between continuous variables and willingness at different hypothetical risk levels.

Results

The survey was completed by 359 participants. Participants preferred hand-based devices (wristbands: 87%, watches: 86%, rings: 62%) and prioritized comfort (94%), cost (83%), and size (72%). Participants were more willing to adhere at higher levels of hypothetical risk. At the baseline risk of 0.1%, older individuals with prior wearable use were most willing to adhere to continuous wearable use.

Conclusion

Individuals were willing to continuously wear wearable devices for OHCA detection, especially at increased hypothetical risk of OHCA. Optimizing willingness is not just a matter of adjusting for user preferences, but also increasing perception of urgency through awareness and education about OHCA.

Inconclusiveness of psychometric testing of medication adherence questionnaires

PURPOSE

To propose a paradigm change for the validation procedures of medication adherence questionnaires.

METHODS

A total of 121 validation procedures of unique questionnaires for medication adherence were analyzed.

RESULTS

"Construct validity" and "internal consistency" were most often assessed, and test results varied largely. A more in-depth analysis indicated that the assessment of medication non-adherence included distinct but related constructs, such as the extent to which doses are missed, and the attempt to identify different facets of medication-taking behavior. Consequently, each construct requires a different measurement approach with different psychometric tests for establishing its validity and reliability.

CONCLUSION

Results show that assessing the validity and reliability of adherence questionnaires with standard procedures including statistical tests is inconclusive. Refinement of the constructs of non-adherence is needed in pharmacy and medical practice. We suggest a distinction between the (i) extent of missed doses over the past 2 weeks, (ii) modifiable reasons for non-adherence behavior, and (iii) unmodifiable factors of non-adherence. Validation procedures and corresponding statistical methods should be selected according to the specific single constructs.

Development and Validation of a Tool to Explore Attitudes Towards meDication adHErence Using a Novel Self-Reported QuestionnairE (ADHERE-7)

Despite the availability of various tools for measuring medication adherence, efficiently identifying non-adherence levels and reasons at the point of care remains challenging. Existing tools often lack the ease of use needed for practical clinical application. This study aimed to develop and validate a user-friendly tool to provide healthcare professionals with a concise yet comprehensive means of identifying adherence behaviors. The methodology consisted of two phases: tool items were first developed using the nominal group technique with healthcare professionals, followed by a cross-sectional pilot study involving community-dwelling adults in Croatia. Validation analysis indicated acceptable face and content validity and satisfactory criterion validity, with Attitudes towards meDication adHErence self-Reported questionnairE (ADHERE-7) scores correlating with both the self-reported five-item Medication Adherence Report Scale (MARS-5 tool) (ρ = 0.765; p < 0.001) and an objective measure of the proportion of days covered (PDC) from pharmacy prescription claims data (G = 0.586; p = 0.015). Construct validity revealed three factors: Aversion, Comfort, and Practical Non-Adherence, with Cronbach's alpha values of 0.617 for Aversion and 0.714 for Comfort Non-Adherence. The mean total score for ADHERE-7 was 26.27 ± 2.41 (range 17 to 28). This robust validation process confirms the ADHERE-7 tool as a reliable instrument for assessing medication adherence, addressing aversion, comfort, practical issues, and both intentional and unintentional nonadherence.

Performance of Medication Tasks: Relationship Among Patient-Reported Outcomes, Performance-Based Assessments, and Objective Assessments

IMPORTANCE

Occupational therapy practitioners use standardized assessments to guide their clinical decision-making, but it is unclear how well performance on standardized assessments translates to performance at home.

OBJECTIVE

To understand the concurrent and predictive validity of patient-reported outcomes and performance-based assessments for monitoring performance at home within the context of medication management and adherence.

DESIGN

Exploratory study.

SETTING

Participants completed standardized assessments in a lab or at home, which were followed by home-based electronic monitoring of medication adherence.

PARTICIPANTS

Sixty community-dwelling adults with hypertension or stroke who independently took antihypertensive medications.

OUTCOMES AND MEASURES

Participants completed the Hill-Bone Medication Adherence Scale, the Hill-Bone Medication Adherence Reasons Scale, the Performance Assessment of Self-Care Skills Medication Management subtask, and the Executive Function Performance Test-Enhanced Medication Management subtest. Then, they used an electronic pill cap to monitor medication adherence at home for 1 month.

RESULTS

Patient-reported outcomes and performance-based assessments in the context of medication management and adherence demonstrated poor concurrent and predictive validity to medication adherence at home.

CONCLUSIONS AND RELEVANCE

There is a gap between what people think they will do, what they can do on a standardized assessment, and what they actually do at home. Future research is needed to strengthen concurrent and predictive validity to clinically meaningful outcomes. Plain-Language Summary: Occupational therapy practitioners should use caution when using standardized assessments to try to predict client performance at home. They should also continue to use a battery of assessments, clinical reasoning, and client preferences to guide their decision-making for monitoring performance at home within the context of medication management and adherence.

Development and validation of the 15-STARS - A novel self-report pharmacy-based questionnaire to screen for medication non-adherence

BACKGROUND

Published scales measuring medication adherence are myriad. There is a need for a tool that guides towards downstream adherence interventions.

OBJECTIVE

To develop and validate a self-report questionnaire able to detect modifiable determinants of medication non-adherence.

METHODS

Workshops, surveys and meetings were used to identify items. Validation was performed in French and German (Switzerland) between March and April 2022. Face validation, content validation, construct validation, internal consistency and test-retest reliability were assessed. The questionnaire was finalized in August 2022.

RESULTS

The first draft in English included 13 items divided into four areas. Following translation, validation was performed with 144 patients (63 German-, 81 French-speaking) who were recruited in 35 community pharmacies. Acceptability was good (<5% missing data). Psychometric properties were acceptable with good content validity and moderate construct validity. Internal consistency was acceptable for the French version (Cronbach's alpha = 0.71 [item 1-5] - 0.61 [item 6-9]) and less acceptable for the German version (Cronbach's alpha = 0.43 [item 1-5] - 0.45 [item 6-9]). Test-retest was given for all items (r = 0.52 to 1.0) except item 10 in French (r = 0.25). The final instrument is a 15-item questionnaire called the 15-STARS (Screening Tool for AdheRence to medicineS) that assesses practical difficulties with medicine use, reasons for non-adherence, doses missed, and need for further help.

CONCLUSIONS

Our findings support the validity and clinical utility of the 15-STARS questionnaire. Reliability was inconclusive due to incoherent internal consistency, but explainable by the single-item nature of the scale. This new tool will enable the detection of patients who experience difficulties that negatively influence medication adherence. Pharmacists will be able to propose specific and tailored adherence interventions to the patients. Next steps will focus on evaluating its usefulness for developing targeted interventions that optimize medication adherence in routine care and research settings.

A qualitative process evaluation within a clinical trial that used healthcare technologies for children with asthma-insights and implications

BACKGROUND

Healthcare technologies are becoming more commonplace, however clinical and patient perspectives regarding the use of technology in the management of childhood asthma have yet to be investigated. Within a clinical trial of asthma management in children, we conducted a qualitative process evaluation that provided insights into the experiences and perspectives of healthcare staff and families on (i) the use of smart inhalers to monitor medication adherence and (ii) the use of algorithm generated treatment recommendations.

METHODS

We interviewed trial staff (n = 15) and families (n = 6) who were involved in the trial to gauge perspectives around the use of smart inhalers to monitor adherence and the algorithm to guide clinical decision making.

FINDINGS

Staff and families indicated that there were technical issues associated with the smart inhalers. While staff suggested that the smart inhalers were good for monitoring adherence and enabling communication regarding medication use, parents and children indicated that smart inhaler use increased motivation to adhere to medication and provided the patient (child) with a sense of responsibility for the management of their asthma. Staff were open-minded about the use of the algorithm to guide treatment recommendations, but some were not familiar with its' use in clinical care. There were some concerns expressed regarding treatment step-down decisions generated by the algorithm, and some staff highlighted the importance of using clinical judgement. Families perceived the algorithm to be a useful technology, but indicated that they felt comforted by the clinicians' own judgements.

CONCLUSION

The use of technology and individual data within appointments was considered useful to both staff and families: closer monitoring and the educational impacts were especially highlighted. Utilising an algorithm was broadly acceptable, with caveats around clinicians using the recommendations as a guide only and wariness around extreme step-ups/downs considering contextual factors not taken into account.

Assessing adherence to medications: Is there a difference between a subjective method and an objective method, or between using them concurrently?

Background

Patients' adherence to medication can be assessed by several subjective or objective methods. The Global Initiative for Asthma (GINA) has recommended the use of both measures simultaneously.

Objective

To assess patients' adherence to medication using a subjective or an objective method separately, and via using a combination of both methods. As well as identifying the degree of agreement between the two methods.

Methods

Participants who met the study inclusion criteria completed the Adherence to Asthma Medication Questionnaire (AAMQ). A retrospective audit was conducted in order to extract pharmacy refill records for the previous twelve months. The patients' pharmacy refill records were expressed using the Medication Possession Ratio (MPR). Data were analyzed using the Statistical Package for Social Science. The degree of agreement was determined by Cohen's kappa coefficient (κ).

Results

In terms of the difference in the ability of each method to identify non-adherent patients, a higher percentage of non-adherent patients were identified using the self-reported AAMQ (61.4%) compared to the pharmacy refill records (34.3%). When both methods, in combination, were used to assess adherence, the percentage of non-adherent patients was 80.0%, which is higher than each method when used separately. Twenty percent of the patients were considered adherent on both assessment methods, while 15.7% were considered non-adherent via both methods. Consequently, the AAMQ and pharmacy refill records agreed on 35.7% of the patients. The degree of agreement analysis showed a low correlation between the two methods.

Conclusion

The combination strategy resulted in a higher percentage of non-adherent patients, compared to using a subjective (the AAMQ) or an objective (the pharmacy refill records) method. The GINA guideline proposition may be supported by the present study's findings.

Medications adherence and associated factors among patients with stroke in the Kingdom of Saudi Arabia

Background

Stroke is one of the most significant neurological problems around the world, and is considered a leading cause of death. Due to polypharmacy and multimorbidity, stroke patients are susceptible to have lower levels of adherence to their medications and self-care activities.

Methods

Patients who have suffered a stroke and had recently been admitted to public hospital were approached for recruitment. Patients' adherence to their medications was examined using a validated questionnaire during an interview between the principal investigator and the patients, where patients' adherence to their self-care activities was assessed using a developed, validated and previously published questionnaire as well. Reasons for lack of adherence was explored from the patients. Verification of patient's details and medications was done via the patient's hospital file.

Results

The mean age of the participants (n=173) was 53.21 (SD= 8.61) years. Assessing patients' adherence to medications showed that more than half of them stated that they sometimes/often forgot to take their medication/s, while 41.0% sometimes/often stopped their medication/s from time to time. The mean adherence to medications score (out of 28) was 18.39 (SD=2.1), with 83.8% having a low adherence level. It is found that patients who did not take their medications were due to forgetfulness (46.8%) and complications from taking the medications (20.2%). Better adherence was associated with higher educational level, higher number of medical conditions, and higher frequency of glucose monitoring. Adherence to self-care activities showed that majority of patients performed correct self-care activities three times a week.

Conclusion

Post-stroke patients in Saudi Arabia have indicated low levels of medication adherence, while reporting good adherence to their self-care activities. Better adherence was associated with certain patient characteristics such as higher educational level. These findings can help in focusing the efforts to improve adherence and health outcomes for stroke patients in the future.