Are Clinical Outcomes Associated With Medication Regimen Complexity? A Systematic Review and Meta-analysis

2019 ◽  
Vol 54 (4) ◽  
pp. 301-313 ◽  
Author(s):  
Vanessa Alves-Conceição ◽  
Kérilin Stancine Santos Rocha ◽  
Fernanda Vilanova Nascimento Silva ◽  
Rafaella de Oliveira Santos Silva ◽  
Sabrina Cerqueira-Santos ◽  
...  

Background: Current evidence of the influence of the medication regimen complexity (MRC) on the patients’ clinical outcomes are not conclusive. Objective: To systematically and analytically assess the association between MRC measured by the Medication Regimen Complexity Index (MRCI) and clinical outcomes. Methods: A search was carried out in the databases Cochrane Library, LILACS, PubMed, Scopus, EMBASE, Open Thesis, and Web of Science to identify studies evaluating the association between MRC and clinical outcomes that were published from January 1, 2004, to April 2, 2018. The search terms included outcome assessment, drug therapy, and medication regimen complexity index and their synonyms in different combinations for case-control and cohort studies that used the MRCI to measure MRC and related the MRCI with clinical outcomes. Odds ratios (ORs), hazard ratios (HRs), and mean differences (WMDs) were calculated, and heterogeneity was assessed using the I2 test. Results: A total of 12 studies met the eligibility criteria. The meta-analysis showed that MRC is associated with the following clinical outcomes: hospitalization (HR = 1.20; 95% CI = 1.14 to 1.27; I2 = 0%) in cohort studies, hospital readmissions (WMD = 7.72; 95% CI = 1.19 to 14.25; I2 = 84%) in case-control studies, and medication nonadherence (adjusted OR = 1.05; 95% CI = 1.02 to 1.07; I2 = 0%) in cohort studies. Conclusion and Relevance: This systematic review and meta-analysis gathered relevant scientific evidence and quantified the combined estimates to show the association of MRC with clinical outcomes: hospitalization, hospital readmission, and medication adherence.

2016 ◽  
Vol 65 (4) ◽  
pp. 747-753 ◽  
Author(s):  
Barbara C Wimmer ◽  
Amanda J Cross ◽  
Natali Jokanovic ◽  
Michael D Wiese ◽  
Johnson George ◽  
...  

2018 ◽  
Vol 52 (11) ◽  
pp. 1117-1134 ◽  
Author(s):  
Vanessa Alves-Conceição ◽  
Kérilin Stancine Santos Rocha ◽  
Fernanda Vilanova Nascimento Silva ◽  
Rafaella Oliveira Santos Silva ◽  
Daniel Tenório da Silva ◽  
...  

Objective: To perform a systematic review to identify health outcomes related to medication regimen complexity as measured by the Medication Regimen Complexity Index (MRCI) instrument. Data Sources: Cochrane Library, LILACS, PubMed, Scopus, EMBASE, Open Thesis, and Web of Science were searched from January 1, 2004, until April 02, 2018, using the following search terms: outcome assessment, drug therapy, and Medication Regimen Complexity Index and their synonyms in different combinations. Study Selection and Data Extraction: Studies that used the MRCI instrument to measure medication regimen complexity and related it to clinical, humanistic, and/or economic outcomes were evaluated. Two reviewers independently carried out the analysis of the titles, abstracts, and complete texts according to the eligibility criteria, performed data extraction, and evaluated study quality. Data Synthesis: A total of 23 studies met the inclusion criteria; 18 health outcomes related to medication regimen complexity were found. The health outcomes most influenced by medication regimen complexity were hospital readmission, medication adherence, hospitalization, adverse drug events, and emergency sector visit. Only one study related medication regimen complexity with humanistic outcomes, and no study related medication regimen complexity to economic outcomes. Most of the studies were of good methodological quality. Relevance to Patient Care and Clinical Practice: Health care professionals should pay attention to medication regimen complexity of the patients because this may influence health outcomes. Conclusion: This study identified some health outcomes that may be influenced by medication regimen complexity: hospitalization, hospital readmission, and medication adherence were more prevalent, showing a significant association between MRCI increase and these health outcomes.


2021 ◽  
Vol 10 (4) ◽  
pp. 773
Author(s):  
Wei-Ting Wu ◽  
Tsung-Min Lee ◽  
Der-Sheng Han ◽  
Ke-Vin Chang

The association of sarcopenia with poor clinical outcomes has been identified in various medical conditions, although there is a lack of quantitative analysis to validate the influence of sarcopenia on patients with lumbar degenerative spine disease (LDSD) from the available literature. Therefore, this systematic review and meta-analysis aimed to summarize the prevalence of sarcopenia in patients with LDSD and examine its impact on clinical outcomes. The electronic databases (PubMed and Embase) were systematically searched from inception through December 2020 for clinical studies investigating the association of sarcopenia with clinical outcomes in patients with LDSD. A random-effects model meta-analysis was carried out for data synthesis. This meta-analysis included 14 studies, comprising 1953 participants. The overall prevalence of sarcopenia among patients with LDSD was 24.8% (95% confidence interval [CI], 17.3%–34.3%). The relative risk of sarcopenia was not significantly increased in patients with LDSD compared with controls (risk ratio, 1.605; 95% CI, 0.321–8.022). The patients with sarcopenia did not experience an increase in low back and leg pain. However, lower quality of life (SMD, −0.627; 95% CI, −0.844–−0.410) were identified postoperatively. Sarcopenia did not lead to an elevated rate of complications after lumbar surgeries. Sarcopenia accounts for approximately one-quarter of the population with LDSD. The clinical manifestations are less influenced by sarcopenia, whereas sarcopenia is associated with poorer quality of life after lumbar surgeries. The current evidence is still insufficient to support sarcopenia as a predictor of postoperative complications.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eric Lontchi-Yimagou ◽  
Charly Feutseu ◽  
Sebastien Kenmoe ◽  
Alexandra Lindsey Djomkam Zune ◽  
Solange Fai Kinyuy Ekali ◽  
...  

AbstractA significant number of studies invoked diabetes as a risk factor for virus infections, but the issue remains controversial. We aimed to examine whether non-autoimmune diabetes mellitus enhances the risk of virus infections compared with the risk in healthy individuals without non-autoimmune diabetes mellitus. In this systematic review and meta-analysis, we assessed case-control and cohort studies on the association between non-autoimmune diabetes and viruses. We searched PubMed, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and Web of Science with no language restriction, to identify articles published until February 15, 2021. The main outcome assessment was the risk of virus infection in individuals with non-autoimmune diabetes. We used a random-effects model to pool individual studies and assessed heterogeneity (I2) using the χ2 test on Cochrane’s Q statistic. This study is registered with PROSPERO, number CRD42019134142. Out of 3136 articles identified, we included 68 articles (90 studies, as the number of virus and or diabetes phenotype varied between included articles). The summary OR between non-autoimmune diabetes and virus infections risk were, 10.8(95% CI: 10.3–11.4; 1-study) for SARS-CoV-2; 3.6(95%CI: 2.7–4.9, I2 = 91.7%; 43-studies) for HCV; 2.7(95% CI: 1.3–5.4, I2 = 89.9%, 8-studies;) for HHV8; 2.1(95% CI: 1.7–2.5; 1-study) for H1N1 virus; 1.6(95% CI: 1.2–2.13, I2 = 98.3%, 27-studies) for HBV; 1.5(95% CI: 1.1–2.0; 1-study) for HSV1; 3.5(95% CI: 0.6–18.3 , I2 = 83.9%, 5-studies) for CMV; 2.9(95% CI: 1–8.7, 1-study) for TTV; 2.6(95% CI: 0.7–9.1, 1-study) for Parvovirus B19; 0.7(95% CI: 0.3–1.5 , 1-study) for coxsackie B virus; and 0.2(95% CI: 0–6.2; 1-study) for HGV. Our findings suggest that, non-autoimmune diabetes is associated with increased susceptibility to viruses especially SARS-CoV-2, HCV, HHV8, H1N1 virus, HBV and HSV1. Thus, these viruses deserve more attention from diabetes health-care providers, researchers, policy makers, and stakeholders for improved detection, overall proper management, and efficient control of viruses in people with non-autoimmune diabetes.


EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
GF Romiti ◽  
D Pastori ◽  
JM Rivera-Caravaca ◽  
WY Ding ◽  
YX Gue ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Background The ‘Atrial Fibrillation Better Care’ (ABC) pathway has been recently proposed as a holistic approach for the comprehensive management of patients with Atrial Fibrillation (AF), standing on three main pillars: ‘A’ Avoid stroke (with Anticoagulants); ‘B’ Better symptom management; ‘C’ Cardiovascular and Comorbidity management. The ABC pathway is now recommended in several clinical guidelines, including the recent European Society of Cardiology (ESC) AF management guidelines. We performed a systematic review of the current evidence for use of the ABC pathway on clinical outcomes. Methods We performed a systematic review and meta-analysis according to PRISMA Guidelines. Pubmed and EMBASE were searched for studies reporting the prevalence of ABC pathway adherent management in AF patients, and its impact on clinical outcomes (all-cause death, cardiovascular death, stroke, and major bleeding). Metanalysis of odds ratio (OR) was performed with random-effect models; subgroup analysis and meta-regression were performed to account for heterogeneity; a CHA2DS2-VASc-stratified sensitivity analysis was also performed. Results Among 2862 records retrieved from the literature search, 8 studies were included. The pooled prevalence of ABC adherent management was 21% (95% confidence intervals (CI), 13-34%), with a high grade of heterogeneity; in a multivariable meta-regression model, adherence to each criteria of the ABC pathway explained most part of the heterogeneity (R2 = 98.9%). Patients treated according to the ABC pathway showed a lower risk of all-cause death (OR:0.42, 95%CI 0.31-0.56), cardiovascular death (OR:0.37, 95%CI 0.23-0.58), stroke (OR:0.55, 95%CI 0.37-0.82) and major bleeding (OR:0.69, 95%CI 0.51-0.94), with moderate heterogeneity. Meta-regressions showed that the increasing prevalence of diabetes mellitus, coronary artery disease, chronic heart failure and history of stroke were associated with a reduced effectiveness of the ABC pathway for all-cause and cardiovascular death; each comorbidity was able to explain a significant proportion of heterogeneity at univariate meta-regression. Conversely, longer follow-up time was associated with more effectiveness of the ABC pathway for all outcomes. Adherence to ABC pathway was associated with a progressively greater reduction of the all-cause death risk amongst patients with higher CHA2DS2-VASc scores; no difference in ABC pathway effectiveness was found across CHA2DS2-VASc strata for CV death and stroke occurrence. Conclusions Adherence to the ABC pathway was suboptimal, being adopted in 1 in every 5 patients. Adherence to the ABC pathway was associated with a reduction in the risk of major adverse outcomes. Our data supports extensive application of the ABC pathway for the management of AF. Abstract Figure.


Author(s):  
Enrique Contreras-Macías ◽  
◽  
Antonio Gutiérrez-Pizarraya ◽  
María Aguas Robustillo-Cortés ◽  
Ramón Morillo-Verdugo

Objectives. People living with HIV (PLWHIV) have now a near-normal life expectancy and thus, a higher risk of polypharmacy. The main objective was to assess the correlation between medication regimen complexity index (MRCI) and quality of life (EQ-5D) and health utilities among PLWHIV patients on ART. Patients and methods. Observational prospective single-center study including adult PLWHIV on ART from January to March-2020 attended at hospital pharmacy outpatient service according to a Capacity-Motivation-Opportunity (CMO) pharmaceutical care model. Results. A total of 428 patients were included, mean age of 50 ± 10.9 years, 82.2% males. Negative correlation (r2=−0.147; p= 0.0002) between MRCI and EQ-5D was found. Relationship between the comorbidity pattern and quality of life, was also observed. Regarding MRCI, Anxiety/Depression, Pain/discomfort and Self-Care were the dimensions with the worst assessment. Conclusions. A new multidimensional revised care plan for PLWHIV focussed on optimising overall patient care, not limited to viral load goal achievement alone but also in their pharmacotherapeutic complexity and quality of life is needed.


2020 ◽  
Vol 9 ◽  
Author(s):  
Kananda Pizano De Freitas ◽  
Márcia Regina Martins Alvarenga

Objetivo: identificar a associação entre polifarmácia e Índice de Complexidade Farmacoterapêutico (ICFT) elevado em idosos atendidos na atenção básica de saúde. Metodologia: pesquisa transversal realizada nas Unidades Básicas de Saúde de Dourados, MS, com idosos. As variáveis pesquisadas foram socioeconômicas, condições de saúde, uso de medicamentos e complexidade da farmacoterapia. Dados analisados por meio de estatística descritiva e correlação de Pearson. Aprovação do Comitê de Ética em pesquisa nº 1.406.745. Resultados: entrevistados 16 idosos em situação de polifarmácia e portadores de alguma doença crônica não transmissivel. O ICFT obteve média 16,96 (± 9,186) e mediana 15,75, que foi adotada como ponto de corte para identificar complexidade do esquema farmacoterapêutico elevado. Oito idosos apresentaram dificuldades para cumprir o esquema terapêutico devido a múltiplas doses no mesmo horário e recordarem-se das medicações. Conclusão: prevalência de idosas, com hipertensão arterial, baixa escolaridade e que precisam de orientação dos profissionais de saúde frente às dificuldades apresentadas quanto à terapia medicamentosa.Descritores: Saúde do idoso. Tratamento farmacológico. Atenção Primária à Saúde.


2018 ◽  
Vol 52 (9) ◽  
pp. 862-867 ◽  
Author(s):  
Mercedes Manzano-García ◽  
Concepción Pérez-Guerrero ◽  
Maria Álvarez de Sotomayor Paz ◽  
Mª de las Aguas Robustillo-Cortés ◽  
Carmen Victoria Almeida-González ◽  
...  

Background: Multiple studies have identified a relationship between the complexity of a medication regimen and non-adherence. However, most studies in people who live with HIV (PLWH) have focused on antiretroviral use and have failed to consider the impact of other medications. Objective: The aim of our study is to identify the Medication Regimen Complexity Index (MRCI) as an associated factor for nonadherence to antiretroviral treatment (ART). The secondary aim is to analyze the relationship between clinical and pharmacotherapeutical variables and adherence to antiretroviral treatment and to generate an adherence model. Methods: A transversal, observational study. Patients included were PLWH over 18 years of age on active antiretroviral therapy. Patients who participated in clinical trials or who did not meet the inclusion criteria were excluded. We had studied HIV transmission mode, viral load, treatment status, number of comorbidities and complexity index as factors associated with adherence to ART. Results: We included 619 patients in the study. Number of comorbidities ( p = 0.021; OR = 1.038-1.570); viral load ( p = 0.023; OR = 1.108-4.505) and MRCI ( p < 0.001; OR = 1.138-1.262) (ART and concomitant treatment) were the independent associated factors to ART nonadherence. The value of the Hosmer and Lemeshow test confirmed the validity of this model (P = 0.333). Conclusion: A higher MRCI was associated with non-adherence. Therefore, the regimen complexity calculation may be appropriate in daily practice for identifying patients at a higher risk of becoming non-adherent.


2021 ◽  
Author(s):  
Mobin Azami ◽  
Hamid Reza Baradaran ◽  
Parisa Kohnepoushi ◽  
Lotfolah Saed ◽  
Asra Moradkhani ◽  
...  

Abstract Background Conflicting results of recent studies on the association between Helicobacter pylori (H. pylori) infection and the risk of insulin resistance and metabolic syndrome explored the need for updated meta-analysis on this issue. Therefore, this systematic review aimed to estimate the pooled effect of H. pylori infection on the risk of insulin resistance and metabolic syndrome. Methods To identify case-control studies and cohort studies evaluating the association of H. pylori infection with insulin resistance and metabolic syndrome, a comprehensive literature search was performed from international databases including Medline (PubMed), Web of Sciences, Scopus, EMBASE, and CINHAL from January 1990 until January 2021. We used odds ratio with its 95% confidence interval (95%CI) to quantify the effect of case-control studies and risk ratio with its 95%CI for the effect of cohort studies. Results 22 studies with 206911 participants were included for meta-analysis. The pooled estimate of odds ratio between H. pylori infection and metabolic syndrome in case-control studies was 1.19 (95%CI: 1.05, 1.35; I2 = 0%), and in cohort studies, the pooled risk ratio was 1.31 (95%CI: 1.13, 1.51; I2 = 0%). Besides, case-control studies showed the pooled odds ratio of 1.54 (95%CI: 1.19, 1.98; I2 = 6.88%) for the association between H. pylori infection and insulin resistance. Conclusion A positive association was found between H. pylori infection and insulin resistance as well as metabolic syndrome, so planning to eliminate or eradicate H. pylori infection could be an effective solution to improve metabolic syndrome or insulin resistance, and vice versa.


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