Abstract
Background
The assessment of adherence to warfarin therapy is useful in clinical practice due to its wide variability in dose–response and risks of complications. The aim of this study was to investigate validated instruments used to assess adherence to warfarin therapy.
Methods
Information was collected from the MEDLINE (PubMed), LILACS, EMBASE, and Cochrane Library databases. Search strategies were applied for each database, with no time limit or language restriction. Inclusion criteria consisted of study participants of ≥ 18 years of age, from both sexes, on chronic anticoagulation with warfarin for any indication and the use of validated instruments to assess adherence to warfarin therapy. Exclusion criteria consisted of duplicate articles, narrative or systematic reviews, and meta-analyses, as well as case reports/series and experimental studies involving animals. Two independent reviewers performed the following steps: evaluation of titles/abstracts, selection of studies after full reading, data extraction, and evaluation of potential bias. Discrepancies were resolved by a third reviewer.
Results
Overall, 19 articles were selected for this systematic review, including 17 cross-sectional studies, one cohort study, and one quasi-experimental study, published from 2009 to 2019. The validated instruments identified in this review were Morisky Medication Adherence Scale (MMAS), the eight-item Morisky Medication Adherence Scale (MMAS-8), Measurement of Treatment Adherence (MTA), and Brief Medication Questionnaire (BMQ). Only MMAS-8 was tested for reliability, using the internal consistency assessment, with Cronbach’s α range 0.56–0.71.
Conclusions
This review highlighted a gap in knowledge regarding the scarcity of validated instruments to assess adherence to warfarin therapy. Limitations were found in instruments that comprised the assessment of the isolated use of medication and the lack of analysis of other relevant therapeutic aspects. Future studies are needed to develop and validate more comprehensive instruments in an attempt to assess adherence to warfarin therapy.
PROSPERO
Registration number CRD42019128324
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Data availability
Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.
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Funding
This study was financed in part by the Coordination of Improvement of Higher Education Personnel—Brazil (CAPES, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior)—Finance Code 001.
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Contributions
MSV, MFSP, and MAPM participated in the conception and design of the study; MSV and MFSP independently screened articles according to inclusion criteria. MAPM acted as the third reviewer of article selection. MSV and MFSP extracted data from selected articles. MSV, MFSP, and MAPM participated in the plan and conduction of statistical analysis. MSV drafted the manuscript. MSV, MFSP, CCV, CBF, WJFNS, VEA, and MAPM interpreted results. All authors made substantial contributions to the interpretation of data, critically reviewed and revised the work, approved the version to be published, and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
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Key points
• Adherence to prescribed drugs is currently a major obstacle for outpatients to achieve success in drug therapy. The assessment of adherence behaviors is useful to substantiate intervention strategies that seek to bring about changes in health outcomes as a consequence of drug therapies.
• No adapted and validated instruments addressing specificities of warfarin therapy were found in this review. Current instruments to assess adherence to warfarin therapy address the isolated use of the medication with no items covering other relevant aspects of therapy, such as diet and drug interactions.
• Further studies are needed to investigate specific scales in order to evaluate adherence to warfarin therapy, employing the assessment of their psychometric properties and applicability in clinical practice
Appendices
Appendix 1 - Quality assessment of the included study, according to the Newcastle-Ottawa Scale
Study | Selection | Comparability | Outcome | ||||||
Representativeness of the exposed cohort | Selection of the non-exposed cohort | Ascertainment of exposure | Demonstration that outcome of interest was not present at the start of the study | Comparability of cohorts on the basis of the design or analysis | Assessment of outcome | Was followed up long enough for outcomes to occur | Adequacy of follow-up of cohorts | Total | |
Tang et al., 2017 [26] | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 9 |
Appendix 2 - Quality assessment of the included study, according to the ROBINS‐I tool of the Cochrane Library
Study | Lee et all., 2016 [20] |
Bias due to confounding factors | Moderate |
Bias in selection of participants into the study | Serious |
Bias in classification of interventions | Moderate |
Bias due to deviations from intended interventions | Moderate |
Bias due to missing data | Moderate |
Bias in measurement of outcomes | Serious |
Bias in selection of reported results; Overall Bias | Low |
Risk of severe bias |
Appendix 3 - Quality assessment of the included study, according to the Agency for Research and Health Quality (ARHQ) Methodology Checklist for Cross Sectional/Prevalence Studies
Ababneh et al, 2016 [13] | Balkhi et al., 2018 [14] | Bennaghmouch et al., 2019 [15] | Castelluci et al., 2015 [16] | Fernandes et al., 2019 [17] | Jorgensen et al., 2013 [18] | Kitahara et al., 2014 [19] | Obamiro et al., 2018 [21] | Oliveira Kamakura et al., 2019 [22] | Rolls et al., 2017 [23] | Shilbayeh et al., 2018 [24] | Souza, Colet and Heineck, 2018 [25] | Tulek et al., 2019 [27] | Volterrani et al., 2018 [28] | Wang, Kong and Ko, 2012 [29] | Yahaya et al., 2009 [30] | Zhao et al., 2017 [31] | |
1) Define the source of information (survey, record review) | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | Yes | Yes | yes | yes |
2) List inclusion and exclusion criteria for exposed and unexposed subjects (cases and controls) or refer to previous publications | yes | yes | yes | yes | yes | no | no | yes | yes | yes | yes | yes | yes | Yes | Yes | yes | yes |
3) Indicate time period used for identifying patients | yes | yes | yes | yes | yes | yes | yes | no | yes | no | yes | yes | yes | Yes | Yes | yes | yes |
4) Indicate whether or not subjects were consecutive if not population-based | yes | yes | yes | yes | yes | unclear | yes | yes | yes | yes | yes | yes | yes | Yes | Yes | yes | yes |
5) Indicate if evaluators of subjective components of study were masked to other aspects of the status of the participants | yes | no | no | yes | no | no | no | no | no | no | no | no | no | no | no | unclear | yes |
6) Describe any assessments undertaken for quality assurance purposed (e.g., test/retest of primary outcome measurements) | no | yes | no | no | no | no | no | no | no | no | no | no | no | no | no | no | no |
7) Explain any patient exclusions from analysis | no | no | yes | no | yes | no | no | yes | no | yes | yes | yes | no | no | yes | yes | yes |
8) Describe how confounding were assessed and/or controlled | no | no | no | no | no | no | no | no | no | no | no | no | no | no | no | no | no |
9) If applicable, explain how missing data were handled in the analysis | no | no | no | no | no | no | no | no | no | no | no | no | no | no | no | no | no |
10) Summarize patient response rates and completeness of data collection | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes |
11) Clarify what follow-up, if any, was expected and the percentage of patients for which incomplete data or follow-up was obtained | no | no | no | no | no | no | no | no | no | no | no | no | no | no | no | no | no |
Total | 6 | 6 | 6 | 6 | 6 | 3 | 4 | 5 | 5 | 5 | 6 | 6 | 5 | 5 | 6 | 6 | 7 |
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Vianna, M.S., da Silva Praxedes, M.F., de Araújo, V.E. et al. Self-report instruments for assessing adherence to warfarin therapy: a systematic review. Eur J Clin Pharmacol 77, 1765–1781 (2021). https://doi.org/10.1007/s00228-021-03168-z
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DOI: https://doi.org/10.1007/s00228-021-03168-z