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Prevalence and predictors of medication non-adherence among patients with multimorbidity: A systematic review protocol.

ABSTRACT: Introduction: Patients with multimorbidity are expected to adhere to complex medication regimens in order to manage their multiple chronic conditions. It has been reported the likelihood of adherence decreases as patients are prescribed more medications. Much medication adherence research to date is dominated by a single-disease focus, which is at odds with the rising prevalence of multimorbidity and may artificially underestimate the complexity of managing chronic illness. This review aims to describe the prevalence of medication non-adherence among patients with multimorbidity, and to identify potential predictors of non-adherence in this population. Methods: A systematic review will be conducted and reported according to PRISMA guidelines. PubMed, EMBASE, CINAHL and PsycINFO will be searched using a predefined search strategy from 2009-2019. Quantitative studies will be considered eligible for review if prevalence of medication non-adherence among adults with two or more chronic conditions is reported. Studies will be included in the review if available in English full text. Titles and abstracts will be screened by single review, with 20% of screening cross-checked by a second reviewer. Full-text articles will be screened by two independent reviewers, noting reasons for exclusions. Data extraction will be performed using a predefined extraction form. Quality and risk of bias assessment will be conducted using criteria for observational studies outlined by Sanderson et al. (2007). A narrative synthesis and, if feasible, meta-analysis will be conducted. Discussion: By exploring medication non-adherence from a multimorbidity perspective, the review aims to inform an evidence base for intervention development which accounts for the rising prevalence of patients with multiple chronic conditions. Study registration: The systematic review is prospectively registered in PROSPERO ( CRD42019133849); registered on 12 June 2019.

SUBMITTER: Foley L

PROVIDER: S-EPMC7140769 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Prevalence and predictors of medication non-adherence among patients with multimorbidity: A systematic review protocol.

Foley Louise L Larkin James J Lombard-Vance Richard R Murphy Andrew W AW Molloy Gerard J GJ

HRB open research 20190101

<b>Introduction:</b> Patients with multimorbidity are expected to adhere to complex medication regimens in order to manage their multiple chronic conditions. It has been reported the likelihood of adherence decreases as patients are prescribed more medications. Much medication adherence research to date is dominated by a single-disease focus, which is at odds with the rising prevalence of multimorbidity and may artificially underestimate the complexity of managing chronic illness. This review ai ...[more]

PMID: 32296748

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Project description:ObjectivesThis systematic review aimed to describe medication non-adherence among people living with multimorbidity according to the current literature, and synthesise predictors of non-adherence in this population.MethodsA systematic review was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses. PubMed, EMBASE, CINAHL and PsycINFO were searched for relevant articles published in English language between January 2009 and April 2019. Quantitative studies reporting medication non-adherence and/or predictors of non-adherence among people with two or more chronic conditions were included in the review. A meta-analysis was conducted with a subgroup of studies that used an inclusive definition of multimorbidity to recruit participants, rather than seeking people with specific conditions. Remaining studies reporting prevalence and predictors of non-adherence were narratively synthesised.ResultsThe database search produced 10 998 records and a further 75 were identified through other sources. Following full-text screening, 178 studies were included in the review. The range of reported non-adherence differed by measurement method, at 76.5% for self-report, 69.4% for pharmacy data, and 44.1% for electronic monitoring. A meta-analysis was conducted with eight studies (n=8949) that used an inclusive definition of multimorbidity to recruit participants. The pooled prevalence of non-adherence was 42.6% (95% CI: 34.0 - 51.3%, k=8, I 2=97%, p<0.01). The overall range of non-adherence was 7.0%-83.5%. Frequently reported correlates of non-adherence included previous non-adherence and treatment-related beliefs.ConclusionsThe review identified a heterogeneous literature in terms of conditions studied, and definitions and measures of non-adherence used. Results suggest that future attempts to improve adherence among people with multimorbidity should determine for which conditions individuals require most support. The variable levels of medication non-adherence highlight the need for more attention to be paid by healthcare providers to the impact of multimorbidity on chronic disease self-management.Prospero registration numberCRD42019133849.

Project description:IntroductionMultimorbidity has increased globally over the past two decades, due to ageing populations and increased burden of non-communicable diseases (NCDs). In a country like South Africa, with a growing burden of NCDs and a high prevalence of HIV, information on multimorbidity can improve planning for healthcare delivery and utilisation, and reduce costs in the context of constrained health resources. This review aims to synthesise prevalence studies on multimorbidity, and identify dominant clusters and trends of multimorbidity in South Africa.Methods and analysisWe will search electronic bibliographic databases (PubMed, Scopus, JSTOR, POPLINE, PsycINFO, ScienceDirect, Web of Science and CINAHL), and the reference lists of included articles. Two researchers will independently screen title and abstracts, and then full text to identify studies published before and in 2020 that report on prevalence of multimorbidity in South Africa. Risk of bias assessments will be done for each study. Information on the prevalence of multimorbidity and disease clusters will be extracted from each study. Where possible, prevalence of specific clusters of multimorbidity will be pooled using a random effects meta-analysis to account for variability between studies. The I2 statistic will be used to establish the extent of heterogeneity due to variation in prevalence estimates rather than due to chance. The systematic review will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses.Ethics and disseminationOnly published journal articles will be included in the systematic review. This review received ethics approval as part of a larger project by the University of the Western Cape Biomedical Science Research Ethics Committee (BM20/5/8). The findings from this research will be used to estimate the prevalence of multimorbidity in South Africa and will contribute to the design of future research projects. The findings will be disseminated in a peer-reviewed journal article.Prospero registration numberCRD42020196895.

Project description:OBJECTIVE:To determine the economic impact of medication non-adherence across multiple disease groups. DESIGN:Systematic review. EVIDENCE REVIEW:A comprehensive literature search was conducted in PubMed and Scopus in September 2017. Studies quantifying the cost of medication non-adherence in relation to economic impact were included. Relevant information was extracted and quality assessed using the Drummond checklist. RESULTS:Seventy-nine individual studies assessing the cost of medication non-adherence across 14 disease groups were included. Wide-scoping cost variations were reported, with lower levels of adherence generally associated with higher total costs. The annual adjusted disease-specific economic cost of non-adherence per person ranged from $949 to $44 190 (in 2015 US$). Costs attributed to 'all causes' non-adherence ranged from $5271 to $52 341. Medication possession ratio was the metric most used to calculate patient adherence, with varying cut-off points defining non-adherence. The main indicators used to measure the cost of non-adherence were total cost or total healthcare cost (83% of studies), pharmacy costs (70%), inpatient costs (46%), outpatient costs (50%), emergency department visit costs (27%), medical costs (29%) and hospitalisation costs (18%). Drummond quality assessment yielded 10 studies of high quality with all studies performing partial economic evaluations to varying extents. CONCLUSION:Medication non-adherence places a significant cost burden on healthcare systems. Current research assessing the economic impact of medication non-adherence is limited and of varying quality, failing to provide adaptable data to influence health policy. The correlation between increased non-adherence and higher disease prevalence should be used to inform policymakers to help circumvent avoidable costs to the healthcare system. Differences in methods make the comparison among studies challenging and an accurate estimation of true magnitude of the cost impossible. Standardisation of the metric measures used to estimate medication non-adherence and development of a streamlined approach to quantify costs is required. PROSPERO REGISTRATION NUMBER:CRD42015027338.

Project description:IntroductionPatients receiving a haematopoietic stem cell transplant (HSCT) are subjected to complex oral medications based on prophylactic and immunosuppressive treatments. Adherence to medication plays a role in survival, and medication non-adherence (MNA) is closely associated with graft-versus-host disease and other complications. The aim of this systematic review is to summarise the available evidence regarding prevalence rates of medication adherence, the risk factors of MNA, the effectiveness of interventions to increase medication adherence and the outcomes associated with MNA.Methods and analysisWe designed a systematic review according to the Joanna Briggs Institute methodology. We will search the Cochrane Library and the CINAHL, EMBASE, MEDLINE via PubMed, PsycINFO and Scopus databases. We will include published and unpublished primary studies: (a) on humans, from inception until 10 May 2022; (b) written in any language; (c) experimental (randomised and non-randomised), observational (prospective, retrospective cohort and case-control), correlational, cross-sectional and longitudinal; and (d) with a low risk of bias, according to the quality assessment we perform. We will exclude secondary and qualitative studies, protocols, publications without original data, including paediatrics or related to autologous HSCT. The primary outcome will be the prevalence of oral medication adherence; the secondary outcomes will be the risk factors of MNA, the interventions aimed at increasing medication adherence and the outcomes of MNA. Two researchers will independently screen the eligible studies, then extract and describe the data. Disagreements will be resolved by a third researcher. We will provide a qualitative narrative synthesis of the findings.Ethics and disseminationEthical approval is not required given that previously published studies will be used. We will disseminate the findings through conference presentations and publications in international peer-reviewed scientific journals.Prospero registration numberCRD42022315298.

Dataset Information

Prevalence and predictors of medication non-adherence among patients with multimorbidity: A systematic review protocol.

Publications

Prevalence and predictors of medication non-adherence among patients with multimorbidity: A systematic review protocol.

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