Impact of initial medication non-adherence to SSRIs on medical visits and sick leaves

Aznar-Lou, Ignacio; Iglesias-González, María; Gil-Girbau, Montserrat; Serrano‐Blanco, Antoni; Fernández, Ana; Peñarrubia-María, Maria Teresa; Sabés-Figuera, Ramón; Murrugarra-Centurión, Ana Gabriela; March-Pujol, Marian; Bolivar‐Prados, Mireia; Rubio-Valera, María

doi:10.1016/j.jad.2017.09.057

Cited by 12 publications

(12 citation statements)

References 19 publications

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“…To manage missing data (BMI (30.8%), prescriber sex (9.7%), socioeconomic status (4.2%) and place of origin (41%)), simple imputation by chained equations was used with logistic regression and ordinal logistic models using all the available data (2011-2014) [14]. This imputation method has been previously used with satisfactory results [14,21,25,26]. For BMI, a truncated regression model with a lower limit of 10 was used.…”

Section: Discussionmentioning

confidence: 99%

Initiation and Single Dispensing in Cardiovascular and Insulin Medications: Prevalence and Explanatory Factors

Vilaplana-Carnerero

Aznar-Lou

Peñarrubia-María

et al. 2020

IJERPH

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Background: Adherence problems have negative effects on health, but there is little information on the magnitude of non-initiation and single dispensing. Objective: The aim of this study was to estimate the prevalence of non-initiation and single dispensation and identify associated predictive factors for the main treatments prescribed in Primary Care (PC) for cardiovascular disease (CVD) and diabetes. Methods: Cohort study with real-world data. Patients who received a first prescription (2013–2014) for insulins, platelet aggregation inhibitors, angiotensin-converting enzyme inhibitors (ACEI) or statins in Catalan PC were included. The prevalence of non-initiation and single dispensation was calculated. Factors that explained these behaviours were explored. Results: At three months, between 5.7% (ACEI) and 9.1% (antiplatelets) of patients did not initiate their treatment and between 10.6% (statins) and 18.4% (ACEI) filled a single prescription. Body mass index, previous CVD, place of origin and having a substitute prescriber, among others, influenced the risk of non-initiation and single dispensation. Conclusions: The prevalence of non-initiation and single dispensation of CVD medications and insulin prescribed in PC in is high. Patient and health-system factors, such as place of origin and type of prescriber, should be taken into consideration when prescribing new medications for CVD and diabetes.

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Section: Discussionmentioning

confidence: 99%

Initiation and Single Dispensing in Cardiovascular and Insulin Medications: Prevalence and Explanatory Factors

Vilaplana-Carnerero

Aznar-Lou

Peñarrubia-María

et al. 2020

IJERPH

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“…The studies were conducted with the data covering 3.6 years on average with standard deviation (SD) of 1.3 years, between 1999 and 2014. Three studies [ 43 – 45 ] were on all classes of antidepressants, two studies [ 46 , 47 ] were on all selective serotonin reuptake inhibitors (SSRIs) medications, and other studies were on selected classes of antidepressants.…”

Section: Resultsmentioning

confidence: 99%

“…All studies included both genders. Most studies targeted adult patients aged at least 18 years while one study was without age restriction [ 45 ], one study was for seniors aged 66 years or greater [ 48 ], and one study was for working-age patients aged between 16 and 65 [ 47 ]. Seven studies targeted patients with depression, and three other studies targeted patients with specified diseases other than depression but taking antidepressants: type-2 diabetes [ 44 ]; coronary artery disease, dyslipidaemia or diabetes [ 49 ]; and chronic obstructive pulmonary disease [ 45 ].…”

Section: Resultsmentioning

confidence: 99%

“…For MPR and PDC measures, the measured adherence was categorised to form an independent variable in the studies, the most common method being categorising MPR or PDC of at least 80% as adherent [ 40 , 44 , 49 , 68 ]. Other methods used include nonadherence for the first prescription [ 47 ] and customised rules [ 43 , 46 ].…”

Section: Resultsmentioning

confidence: 99%

“…Nine studies measured MAP for a fixed duration of six months or 180 days [ 40 , 44 , 48 , 49 , 66 ], of one year [ 46 , 68 ], of one month [ 47 ] and of 214 days [ 43 ]. One study measured MAP during the available follow-up period for each patient [ 45 ].…”

Section: Resultsmentioning

confidence: 99%

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A systematic review and meta-analysis on impact of suboptimal use of antidepressants, bisphosphonates, and statins on healthcare resource utilisation and healthcare cost

2022

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Background Depression, osteoporosis, and cardiovascular disease impose a heavy economic burden on society. Understanding economic impacts of suboptimal use of medication due to nonadherence and non-persistence (non-MAP) for these conditions is important for clinical practice and health policy-making. Objective This systematic literature review aims to assess the impact of non-MAP to antidepressants, bisphosphonates and statins on healthcare resource utilisation and healthcare cost (HRUHC), and to assess how these impacts differ across medication classes. Methods A systematic literature review and an aggregate meta-analysis were performed. Using the search protocol developed, PubMed, Cochrane Library, ClinicalTrials.gov, JSTOR and EconLit were searched for articles that explored the relationship between non-MAP and HRUHC (i.e., use of hospital, visit to healthcare service providers other than hospital, and healthcare cost components including medical cost and pharmacy cost) published from November 2004 to April 2021. Inverse-variance meta-analysis was used to assess the relationship between non-MAP and HRUHC when reported for at least two different populations. Results Screening 1,123 articles left 10, seven and 13 articles on antidepressants, bisphosphonates, and statins, respectively. Of those, 27 were rated of good quality, three fair and none poor using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. In general, non-MAP was positively associated with HRUHC for all three medication classes and most prominently for bisphosphonates, although the relationships differed across HRUHC components and medication classes. The meta-analysis found that non-MAP was associated with increased hospital cost (26%, p = 0.02), outpatient cost (10%, p = 0.01), and total medical cost excluding pharmacy cost (12%, p<0.00001) for antidepressants, and increased total healthcare cost (3%, p = 0.07) for bisphosphonates. Conclusions This systematic literature review is the first to compare the impact of non-MAP on HRUHC across medications for three prevalent conditions, depression, osteoporosis and cardiovascular disease. Positive relationships between non-MAP and HRUHC highlight inefficiencies within the healthcare system related to non-MAP, suggesting a need to reduce non-MAP in a cost-effective way.

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Depression and glioblastoma, complicated concomitant diseases: a systemic review of published literature

et al. 2018

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Impact of initial medication non-adherence to SSRIs on medical visits and sick leaves

Cited by 12 publications

References 19 publications

Initiation and Single Dispensing in Cardiovascular and Insulin Medications: Prevalence and Explanatory Factors

Initiation and Single Dispensing in Cardiovascular and Insulin Medications: Prevalence and Explanatory Factors

A systematic review and meta-analysis on impact of suboptimal use of antidepressants, bisphosphonates, and statins on healthcare resource utilisation and healthcare cost

Depression and glioblastoma, complicated concomitant diseases: a systemic review of published literature

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