Predictors of treatment adherence in patients with chronic disease using the Multidimensional Adherence Model: unique considerations for patients with haemophilia

Strike, Karen; Chan, Anthony; Iorio, Alfonso; Maly, Monica R.; Stratford, Paul W.; Solomon, Patricia

doi:10.17225/jhp00152

Cited by 5 publications

(7 citation statements)

References 43 publications

(93 reference statements)

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“…Data extracted included the following: (1) title, (2) author, (3) year, (4) country (study conducted), (5) population studied, (6) study design, (7) condition, (8) number of participants, (9) age, (10) gender, (11) length of study, (12) adherence rates, (13) clinical outcomes, and ( 14) factors associated with nonadherence. Factors associated with nonadherence were categorised according to the World Health Organisation (WHO) multidimensional adherence model including the fve domains: socio-economic factors, healthcare system-related factors, health condition-related factors, therapy-related factors, and patient-related factors [32].…”

Section: Data Extraction and Synthesismentioning

confidence: 99%

Medicine Adherence and Associated Factors in Immigrants and Refugees: A Systematic Review

Patel

Jalal

Guo

2022

International Journal of Clinical Practice

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Medicine nonadherence is a major contributing factor to morbidity and mortality. Almost half of the chronically ill patients are nonadherent to their medication. Vulnerable groups like immigrants and refugees are at a higher risk of poor medication adherence. This study aims to determine the rate of medicine adherence and the factors associated with medicine nonadherence in a population of immigrants and refugees. A protocol-led (PROSPERO ID: CRD42021285419) systematic review was conducted by searching PubMed, Medline, Embase, Scopus, CINAHL, and Cochrane Library for studies published between 1st January 2000 and 4th November 2021. PRISMA guidelines were followed. The NIH quality assessment tool and CASP checklist were used to quality assess the papers. Data were searched, screened, and extracted. Extracted data were tabulated for descriptive and narrative analyses. 15 studies were conducted across six countries including participants with various medical conditions. The rate of medicine adherence reported ranged from 10.1% to 74.5%. Higher rates of nonadherence were observed in immigrants and refugees compared to migrant and native groups. Socio-economic factors, including language proficiency, level of education, and financial burden, and patient-related factors involving cultural behaviours and beliefs were common themes for nonadherence among immigrants and refugees. Further research is required to address the effect of nonadherence on clinical outcomes. Studies should focus on using a consistent definition of adherence and the same objective methods to measure rates of adherence to allow for meta-analysis of data and definitive results. Healthcare professionals (HCPs) are recommended to target interventions at improving adherence and reducing modifiable risk factors in immigrants and refugees, thus reducing health disparities among the population.

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Section: Data Extraction and Synthesismentioning

confidence: 99%

Medicine Adherence and Associated Factors in Immigrants and Refugees: A Systematic Review

Patel

Jalal

Guo

2022

International Journal of Clinical Practice

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“…socio-economic, patient-related, condition-related, health care system, treatment-related aspects), and factors that still remain to be elucidated. 36 …”

Section: Resultsmentioning

confidence: 99%

International consensus recommendations on the management of people with haemophilia B

Hart

Matino

Astermark

et al. 2022

Therapeutic Advances in Hematology

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Haemophilia B is a rare X-linked genetic deficiency of coagulation factor IX (FIX) that, if untreated, can cause recurrent and disabling bleeding, potentially leading to severe arthropathy and/or life-threatening haemorrhage. Recent decades have brought significant improvements in haemophilia B management, including the advent of recombinant FIX and extended half-life FIX. This therapeutic landscape continues to evolve with several non-factor replacement therapies and gene therapies under investigation. Given the rarity of haemophilia B, the evidence base and clinical experience on which to establish clinical guidelines are relatively sparse and are further challenged by features that are distinct from haemophilia A, precluding extrapolation of existing haemophilia A guidelines. Due to the paucity of formal haemophilia B-specific clinical guidance, an international Author Group was convened to develop a clinical practice framework. The group comprised 15 haematology specialists from Europe, Australia, Japan, Latin America and North America, covering adult and paediatric haematology, laboratory medicine and biomedical science. A hybrid approach combining a systematic review of haemophilia B literature with discussion of clinical experience utilized a modified Delphi format to develop a comprehensive set of clinical recommendations. This approach resulted in 29 recommendations for the clinical management of haemophilia B across five topics, including product treatment choice, therapeutic agent laboratory monitoring, pharmacokinetics considerations, inhibitor management and preparing for gene therapy. It is anticipated that this clinical practice framework will complement existing guidelines in the management of people with haemophilia B in routine clinical practice and could be adapted and applied across different regions and countries.

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“…The relationship between medication adherence and symptom burden has not been fully elucidated (Helvaci et al, 2020; Park & Kang, 2017). Moreover, in the literature, it was emphasised that medication adherence was more influenced by the patients’ beliefs in treatment, acceptance of the disease and their level of knowledge than by symptom burden (Strike et al, 2020; Wu et al, 2008). In this study, no relationship was found between symptom severity and medication adherence.…”

Section: Discussionmentioning

confidence: 99%

“…The ‘Multidimensional Adherence Model (MAM)’, used to examine treatment adherence from multiple and holistic perspectives, is the most appropriate model to determine medication adherence. The MAM framework categorises factors into five groups: socio‐economic factors, patient‐related factors, treatment‐related factors, condition‐related factors and health system‐related factors (Strike et al, 2020). Socio‐economic factors comprise social and economic status such as marital status, employment, income status, education level and living status.…”

Section: Introductionmentioning

confidence: 99%

“…Condition‐related factors are characteristics such as comorbidities, symptom severity, disease stage and the number of exacerbations. Healthcare system‐related factors include systems, organisations, or access to healthcare professionals, waiting time, type of centre, health insurance, and admission to the outpatient and emergency service (Strike et al, 2020; Wu et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Multidimensional factors affecting medication adherence among patients with chronic obstructive pulmonary disease

Aldan

Helvaci

Özdemir

et al. 2021

Journal of Clinical Nursing

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Aims and Objectives:This study aimed to investigate the effects of socioeconomic-, patient-, treatment-, condition-and health system-related factors on medication adherence in patients with chronic obstructive pulmonary disease (COPD).Background: Medication adherence is essential for the management of chronic diseases. The World Health Organization created a Multidimensional Adherence Model (MAM) and showed that medication adherence is affected by a combination of numerous factors.Design: A descriptive correlational study was conducted.Methods: A total of 114 patients with COPD were included. Data were collected on five dimensions based on the MAM framework. Medication adherence, self-efficacy and symptoms were evaluated using the Adherence to Refills and Medications Scale-7 (ARMS-7), COPD Self-Efficacy Scale (CSES) and COPD Assessment Test (CAT), respectively. The data were analysed using descriptive statistics, correlational statistics and structural equation modelling. The STROBE checklist was used. Results:The ARMS-7 scores were associated with the body mass index of patients (F = 4.245, p = .017), smoke pack-years (r = .277, p = .004) and the CSES total score (β = -0.249, p = .002) in patient-related factors. The ARMS-7 score was not associated with socio-economic and health system-related factors. The ARMS-7 score showed a significant correlation between COPD diagnosis duration (r = −.276, p = .003) and the total number of drugs (r = −.215, p = .022) in treatment-related factors. The ARMS-7 scores were associated with the number of comorbid illnesses of patients with COPD in condition-related factors (F = 3.533, p = .033). Conclusion:This study showed that medication adherence in COPD was mostly affected by patient-, treatment-and condition-related factors.Relevance to clinical practice: Healthcare professionals should establish training and counselling programs to increase the medication adherence level of patients, particularly for patients who are newly diagnosed, require multiple drugs and have comorbid diseases or low self-efficacy.

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Predictors of treatment adherence in patients with chronic disease using the Multidimensional Adherence Model: unique considerations for patients with haemophilia

Cited by 5 publications

References 43 publications

Medicine Adherence and Associated Factors in Immigrants and Refugees: A Systematic Review

Medicine Adherence and Associated Factors in Immigrants and Refugees: A Systematic Review

International consensus recommendations on the management of people with haemophilia B

Multidimensional factors affecting medication adherence among patients with chronic obstructive pulmonary disease

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