Dataset Information

The use of the Capability-Opportunity- Motivation Behavior (COM-B) model to identify barriers to medication adherence and the application of mobile health technology in adults with coronary heart disease: A qualitative study.

ABSTRACT:

Objective

Among patients with coronary heart disease, we sought to address the research questions of: 1) What is the acceptability of applying a technology-enabled approach to support medication adherence?; and 2) What are barriers to medication adherence using the Capability-Opportunity-Motivation Behavior (COM-B) model as a guiding framework?

Methods

Applying qualitative research methods, we employed a series of 3 focus groups per individual (total 9 sessions). Coded data from thematic analysis were mapped to the COM-B model components for meaningful associations.

Results

Fourteen participants were recruited (median age 69.5 ± 11, 50% female). Barriers to medication adherence were organized along these COM-B domains: psychological capability (forgetfulness, distractions, fear of side effects), physical opportunity (inaccessible medications, inability to renew prescriptions), reflective (burdening family members), and automatic motivation (medication fatigue, health decline).

Conclusions

Tailored text messaging and mobile phone apps were perceived as helpful tools for medication adherence. The COM-B model was useful to provide a comprehensive, theory-driven evaluation of patients' beliefs and motivations on whether to engage in medication adherence.

Innovation

To date, text messaging and mobile applications have not been widely implemented in the clinical setting and provide a major opportunity to innovate on approaches to address medication adherence.

SUBMITTER: Park LG

PROVIDER: S-EPMC10518702 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Publications

The use of the Capability-Opportunity- Motivation Behavior (COM-B) model to identify barriers to medication adherence and the application of mobile health technology in adults with coronary heart disease: A qualitative study.

Park Linda G LG Ng Fion F Handley Margaret A MA

PEC innovation 20230907

<h4>Objective</h4>Among patients with coronary heart disease, we sought to address the research questions of: 1) What is the acceptability of applying a technology-enabled approach to support medication adherence?; and 2) What are barriers to medication adherence using the Capability-Opportunity-Motivation Behavior (COM-B) model as a guiding framework?<h4>Methods</h4>Applying qualitative research methods, we employed a series of 3 focus groups per individual (total 9 sessions). Coded data from t ...[more]

PMID: 37753273

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Project description:BackgroundThere is limited evidence for successful weight gain prevention interventions targeting young adults. Developing effective interventions necessitates a theoretical model that can identify barriers and enablers for healthy eating and physical activity among young adults to support weight management. This study empirically examines the utility of the COM-B model as a framework for intervention planning across two behavioural contexts: eating and physical activity.MethodsA cross-sectional survey research design was employed to empirically test the COM-B model in the contexts of young adult's eating and physical activity behaviours. Informed by the Theoretical Domains Framework, pre-validated measures appropriate for capturing the latency of the COM (Capability, Opportunity, and Motivation) constructs were sourced. Both surveys (eating and physical activity) were administered online to two independent samples of young adults aged 18-35 years. Models were specified and tested using structural equation modelling.ResultsA total of 582 (mean age = 22.8 years; 80.3% female) and 455 (mean age = 24.9 years; 80.8% female) participants were included in the physical activity and eating analyses, respectively. The COM-B model explained 31% of variance in physical activity behaviour and 23% of variance in eating behaviour. In the physical activity model (N = 582), capability and opportunity were found to be associated with behaviour through the mediating effect of motivation. In the eating model (N = 455), capability was found to be associated with behaviour through the mediating effect of motivation. Capability was also found to mediate the association between opportunity and motivation. Consistencies and variations were observed across both models in terms of COM indicators.ConclusionsFindings support the COM-B model's explanatory potential in the context of young adult's physical activity and eating behaviours. Barriers and enablers underlying young adult's physical activity and eating behaviours were identified that represent potential targets for future intervention design. Further research is needed to validate present study findings across different populations and settings.

Project description:BackgroundBenzathine penicillin G (BPG) is a proven preventive agent for preventing the progression of rheumatic heart disease (RHD) and is recognized as a standard of care. However, ensuring adherence to BPG remains a global challenge. The objective of this review was to synthesize the available evidence on the barriers to and facilitators of BPG adherence among RHD patients.MethodsThis systematic review included both qualitative and quantitative studies on RHD patients published in the English language. This systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The search strategy involved PubMed, Embase, CINAHL, Global Health, Scopus, and Web of Sciences databases to identify keywords and terms contained in the title and abstract and the index terms used to describe articles. The review included papers published from January 1, 2000, to March 30, 2024. Two independent reviewers screened, appraised, and extracted the data. The data analysis was carried out deductively to fit onto the components of the COM-B (Capability, Opportunity, Motivation-Behaviour) model.ResultsIn this review, 1067 records were screened, and 22 studies with 7338 participants were included. Thirty-five barriers and twenty facilitators were identified and mapped onto COM-B components. Physical capability (e.g., felt healthy), psychological capability (e.g., lack of knowledge), reflective motivation (e.g., poor patient handling), automatic motivation (e.g., BPG injection pain), physical opportunity (e.g., BPG unavailability) and social opportunity (e.g., inadequate counseling) were identified as barriers. The most discussed barrier was automatic motivation, followed by psychological capability and physical opportunity.ConclusionsOur review revealed variable levels of BPG adherence across studies and identified significant barriers and facilitators. Further research is recommended to identify contextual interventions to address barriers and capitalize on facilitators.Systematic review registrationPROSPERO CRD42024535398.

Project description:BackgroundTeachers are recognized as 'key agents' for the delivery of physical activity programs and policies in schools. The aim of our study was to develop and evaluate a tool to assess teachers' capability, opportunity, and motivation to deliver school-based physical activity interventions.MethodsThe development and evaluation of the Capability, Opportunity, and Motivation to deliver Physical Activity in School Scale (COM-PASS) involved three phases. In Phase 1, we invited academic experts to participate in a Delphi study to rate, provide recommendations, and achieve consensus on questionnaire items that were based on the Capability, Opportunity, and Motivation Behavior (COM-B) model. Each item was ranked on the degree to which it matched the content of the COM-B model, using a 5-point scale ranging from '1 = Poor match' to '5 = Excellent match'. In Phase 2, we interviewed primary and secondary school teachers using a 'think-aloud' approach to assess their understanding of the items. In Phase 3, teachers (n = 196) completed the COM-PASS to assess structural validity using confirmatory factor analysis (CFA).ResultsThirty-eight academic experts from 14 countries completed three rounds of the Delphi study. In the first round, items had an average rating score of 4.04, in the second round 4.51, and in the third (final) round 4.78. The final tool included 14 items, which related to the six constructs of the COM-B model: physical capability, psychological capability, physical opportunity, social opportunity, reflective motivation, and automatic motivation. In Phase 2, ten teachers shared their interpretation of COM-PASS via a 20-min interview, which resulted in minor changes. In Phase 3, CFA of the 3-factor model (i.e., capability, opportunity, and motivation) revealed an adequate fit to the data (χ2 = 122.6, p < .001, CFI = .945, TLI = .924, RMSEA = .066). The internal consistencies of the three subscale scores were acceptable (i.e., capability: α = .75, opportunity: α = .75, motivation: α = .81).ConclusionCOM-PASS is a valid and reliable tool for assessing teachers' capability, opportunity, and motivation to deliver physical activity interventions in schools. Further studies examining additional psychometric properties of the COM-PASS are warranted.

Project description:Introduction Non-communicable diseases such as ischemic heart disease, cancer, diabetes, and chronic respiratory diseases are the leading causes of death worldwide, and are associated with tobacco use. The ultimate goal of health professionals and researchers working to combat smoking's extremely harmful health effects is to prevent smoking initiation. Nearly 5500 new smokers are added each day, for a total of almost 2 million new smokers each year. The COM-B model's primary goal is to determine what needs to be done for a behaviour change to occur. Behaviour modification requires an understanding of the factors that drive behaviour. Aim The current qualitative study intends to explore the factors affecting tobacco use initiation (TUI) using the COM-B model, given the relevance of investigating the factors affecting TUI and the model. Methods The present qualitative study has used a directed content analysis approach. Seventeen participants who reported having started any kind of tobacco in the last six months were recruited in the study using a purposive sampling method to understand the factors affecting TUI. The data was collected through interviews, and all of the participants were from the Hyderabad-Karnataka region of Karnataka, India (a state which has been reported as having the highest prevalence of cigarette smoking in India). Results Directed content analysis revealed six categories: psychological capabilities affecting TUI (lack of knowledge about adverse health effects of tobacco, behavioural control, and poor academic performance), physical capabilities affecting TUI (lack of better physical resilience), physical opportunities favouring TUI (tobacco advertisements, easy access of tobacco products, and favourite star smoke on screen), social opportunities favouring TUI (peer influence, tobacco use by parents, tradition of hospitality, tobacco use as a normal behaviour, and toxic masculinity), automatic motivation causal factors of TUI (affect regulation, risk taking behaviours and tobacco use for pleasure) and reflective motivation causal factors of TUI (perceived benefits of tobacco, risk perception, perceived stress, and compensatory health beliefs). Conclusion Identifying the factors that influence TUI may help to limit or prevent people from smoking their first cigarette. Given the importance of preventing TUI, the findings of this study indicated the factors that influence TUI, which can be valuable in improving behaviour change processes.

Project description:ObjectivesGeriatric guidelines strongly recommend avoiding benzodiazepines and non-benzodiazepine sedative hypnotics in older adults. Hospitalisation may provide an important opportunity to begin the process of deprescribing these medications, particularly as new contraindications arise. We used implementation science models and qualitative interviews to describe barriers and facilitators to deprescribing benzodiazepines and non-benzodiazepine sedative hypnotics in the hospital and develop potential interventions to address identified barriers.DesignWe used two implementation science models, the Capability, Opportunity and Behaviour Model (COM-B) and the Theoretical Domains Framework, to code interviews with hospital staff, and an implementation process, the Behaviour Change Wheel (BCW), to codevelop potential interventions with stakeholders from each clinician group.SettingInterviews took place in a tertiary, 886-bed hospital located in Los Angeles, California.ParticipantsInterview participants included physicians, pharmacists, pharmacist technicians, and nurses.ResultsWe interviewed 14 clinicians. We found barriers and facilitators across all COM-B model domains. Barriers included lack of knowledge about how to engage in complex conversations about deprescribing (capability), competing tasks in the inpatient setting (opportunity), high levels of resistance/anxiety among patients to deprescribe (motivation), concerns about lack of postdischarge follow-up (motivation). Facilitators included high levels of knowledge about the risks of these medications (capability), regular rounds and huddles to identify inappropriate medications (opportunity) and beliefs that patients may be more receptive to deprescribing if the medication is related to the reason for hospitalisation (motivation). Potential modes of delivery included a seminar aimed at addressing capability and motivation barriers in nurses, a pharmacist-led deprescribing initiative using risk stratification to identify and target patients at highest need for deprescribing, and the use of evidence-based deprescribing education materials provided to patients at discharge.ConclusionsWhile we identified numerous barriers and facilitators to initiating deprescribing conversations in the hospital, nurse- and pharmacist-led interventions may be an appropriate opportunity to initiate deprescribing.

Dataset Information

The use of the Capability-Opportunity- Motivation Behavior (COM-B) model to identify barriers to medication adherence and the application of mobile health technology in adults with coronary heart disease: A qualitative study.

Objective

Methods

Results

Conclusions

Innovation

Publications

The use of the Capability-Opportunity- Motivation Behavior (COM-B) model to identify barriers to medication adherence and the application of mobile health technology in adults with coronary heart disease: A qualitative study.

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