Dataset Information

Psychometric properties of medication adherence instruments in cardiovascular diseases and type 2 diabetes mellitus: systematic review protocol.

ABSTRACT:

Background

The pharmacological treatment of cardiovascular diseases and type 2 diabetes mellitus reduces the risk of cardiovascular events.; however, most patients do not adhere to the treatment. There are several self-reported measures for assessing medication adherence. Identifying the instruments with the best psychometric evidence is essential for selecting an accurate measure. The aim of this study is to critically assess, compare and synthesize the quality of the measurement properties of patient-reported outcome measures to access medication adherence among patients with cardiovascular diseases and/or type 2 diabetes mellitus.

Methods

This protocol is reported according to Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) and the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidelines. The following databases will be searched: Web of Science, SCOPUS, PubMed, CINAHL, EMBASE, LILACS, PsycINFO and ProQuest.

Discussion

This review will provide a detailed assessment of the measurement properties of self-reported medication adherence instruments in patients with cardiovascular diseases and/or type 2 diabetes mellitus to support clinical practice and research.

Systematic review registration

PROSPERO CRD42019129109.

SUBMITTER: Oliveira HC

PROVIDER: S-EPMC8268561 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Introduction Poor medication adherence is associated with worsening patient health outcomes and increasing healthcare costs. A holistic tool to assess both medication adherence and drivers of adherence behaviour has yet to be developed. This study aimed to examine SPUR, a multifactorial patient-reported outcome measure of medication adherence in patients living with type 2 diabetes, with a view to develop a suitable model for psychometric analysis. Furthermore, the study aimed to explore the relationship between the SPUR model and socio-clinical factors of medication adherence. Research design and methods The study recruited 378 adult patients living with type 2 diabetes from a mix of community and secondary-care settings to participate in this non-interventional cross-sectional study. The original SPUR-45 tool was completed by participants with other patient-reported outcome measures for comparison, in addition to the collection of two objective adherence measures; HbA1c and the medication possession ratio (MPR). Results Factor and reliability analysis conducted on SPUR-45 produced a revised and more concise version (27-items) of the tool, SPUR-27, which was psychometrically assessed. SPUR-27 observed strong internal consistency with significant correlations to the other psychometric measures (Beliefs about Medication Questionnaire, Diabetes Treatment Satisfaction Questionnaire, Medicine Adherence Rating Scale) completed by participants. Higher SPUR-27 scores were associated with lower HbA1c values and a higher MPR, as well as other predicted socio-clinical factors such as higher income, increased age and lower body mass index. Conclusions SPUR-27 demonstrated strong psychometric properties. Further work should look to examine the test–retest reliability of the model as well as examine transferability to other chronic conditions and broader population samples. Overall, the initial findings suggest that SPUR-27 is a reliable model for the multifactorial assessment of medication adherence among patients living with type 2 diabetes.

Project description:BackgroundSuboptimal health status (SHS) measurement has now been recognized as an essential construct in predictive, preventive, and personalized medicine. Currently, there are limited tools, and an ongoing debate about appropriate tools. Therefore, it is crucial to evaluate and generate conclusive evidence about the psychometric properties of available SHS tools.ObjectiveThis research aimed to identify and critically assess the psychometric properties of available SHS instruments and provide recommendations for their future use.MethodsArticles were retrieved by following the guidelines of the PRISMA checklist, and the robustness of methods and evidence about the measurement properties was assessed using the adapted COSMIN checklist. The review was registered in PROSPERO.ResultsThe systematic review identified 14 publications describing four subjective SHS measures with established psychometric properties; these included the Suboptimal Health Status Questionnaire-25 (SHSQ-25), Sub-health Measurement Scale Version 1.0 (SHMS V1.0), Multidimensional Sub-health Questionnaire of Adolescents (MSQA), and the Sub-Health Self-Rating Scale (SSS). Most studies were conducted in China and reported three reliability indices: (1) the internal consistency measured by Cronbach's α value ranged between 0.70 and 0.96; (2) the test-retest reliability; and (3) the split-half reliability coefficient values ranged between 0.64 and 0.98, and between 0.83 and 0.96, respectively. For the values of validity coefficients in the case of SHSQ-25 > 0.71, the SHMS-1.0 ranged from 0.64 to 0.87, and the SSS ranged from 0.74 to 0.96. Using these existing and well-characterized tools rather than constructing original tools is beneficial, given that the existing choice demonstrated sound psychometric properties and established norms.ConclusionsThe SHSQ-25 stood out as being more suitable for the general population and routine health surveys, because it is short and easy to complete. Therefore, there is a need to adapt this tool by translating it into other languages, including Arabic, and establishing norms based on populations from other regions of the world.