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Original article
Adherence to treatment of hypertension, hypercholesterolaemia and diabetes in an elderly population of a Spanish cohort
Adherencia al tratamiento de hipertensión arterial, hipercolesterolemia y diabetes en población anciana de una cohorte española
Aida Moreno Justea,b,
Corresponding author
aidamorenoj@gmail.com

Corresponding author.
, Antonio Gimeno Miguela, Beatriz Poblador Ploua, Francisca González Rubioa,b,c, María Mercedes Aza Pascual-Salcedoa,b, Enrica Mendittod, Alexandra Prados Torresa
a Grupo EpiChron de Investigación en Enfermedades Crónicas, Instituto Aragonés de Ciencias de la Salud (IACS), IIS Aragón, REDISSEC ISCIII, Zaragoza, Spain
b Servicio Aragonés de Salud (SALUD), Zaragoza, Spain
c Grupo de Trabajo de Utilización de Fármacos de la semFYC, Spain
d CIRFF, Centro de Farmacoeconomía, Universidad de Nápoles Federico II, Naples, Italy
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The World Health Organisation &#40;WHO&#41; defines multimorbidity as the presence of two or more chronic diseases in the same person&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">1</span></a> This phenomenon is very common in most countries and its impact is greater in the elderly population&#44; in which health problems accumulate due to the improvement of socioeconomic conditions and advances in the field of health&#44; allowing a significant proportion of the population to survive previously fatal diseases&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">2</span></a> According to the National Health Survey&#44; the so-called young elderly population aged 65&#8211;74 in Spain has an average of 2&#46;8 chronic health problems&#44; while those over 75 have an average of 3&#46;2 diseases&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">3</span></a> Multimorbidity is associated with polypharmacy or simultaneous and prolonged prescription of multiple medications&#44; which implies a series of undesirable consequences&#44; such as increased risk of inappropriate drug use&#44; appearance of secondary symptoms from non-compliance&#44; underuse of effective drugs&#44; pharmacological interactions and adverse reactions&#46;<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">3&#44;4</span></a> Adherence&#44; in terms of taking medications&#44; following diets or making lifestyle changes&#44; can also be affected by the simultaneous administration of several drugs&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">5</span></a> One of the ways to determine the extent to which patients follow the instructions accompanying their prescribed treatments is to measure adherence to medication&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">6</span></a> Chronic diseases are the most affected by low adherence&#58; it is estimated that approximately 50&#37; of the population that has a chronic disease does not take their medication in the manner prescribed to them&#46; The study of factors related to low adherence is essential to designing prevention strategies that can increase treatment effectiveness&#44; reduce morbidity and mortality and improve patients&#8217; quality of life&#46;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">7</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The objective of this study was to determine therapeutic adherence to the most commonly used drugs for type 2 diabetes mellitus&#44; hypercholesterolemia and hypertension in new users of these drugs aged 65 or older&#44; and to study their effect on sex&#44; age&#44; number of drugs and presence of other chronic ailments and mental illness&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Materials and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Design and study population</span><p id="par0015" class="elsevierStylePara elsevierViewall">Retrospective cross-sectional observational study conducted in the EpiChron Cohort that anonymously comprised the following user data&#44; collected through the Aragonese Health System clinical records and clinical-administrative databases&#58; demographic&#44; clinical&#44; drug dispensing&#44; use of services and health outcomes&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">8</span></a> This study was approved by the Community of Aragon Research Ethics Committee &#40;PI16&#47;088&#41;&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">The drugs dispensed were coded according to the Anatomical Therapeutic Chemical &#40;ATC&#41; Classification System&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">9</span></a> From this cohort&#44; we selected the patients aged over 65 who had initiated a prescribed oral monotherapy between July 1 and December 31&#44; 2010 with any of the following&#58; a&#41; an oral antidiabetic &#40;biguanides&#44; A10BA&#44; sulfonylureas&#44; A10BB&#44; alpha-glucosidase inhibitors&#44; A10BF&#44; thiazolidinediones&#44; A10BG&#44; inhibitors of dipeptidyl peptidase 4&#44; A10BH&#44; or other oral antidiabetics&#44; A0BX&#41;&#59; b&#41; a hypolipidemic agent &#40;inhibitors of HMG-CoA reductase&#44; C10AA&#44; fibrates&#44; C10AB&#44; bile acid sequestrants&#44; C10AC&#44; or other lipid modifiers&#44; C10AX&#41; or c&#41; a renin&#8211;angiotensin system antihypertensive drug &#40;convertase enzyme inhibitor angiotensin&#44; C09AA&#44; or angiotensin II antagonists&#44; C09CA&#41;&#46; The patients excluded were those&#58; &#40;a&#41; who were undergoing treatment with a drug from the same group under study prescribed within the six months prior to their inclusion in the study&#59; &#40;b&#41; who did not maintain monotherapy&#44; either by pharmacological combination or separately&#59; &#40;c&#41; whose drug prescription had not been validated for one year&#59; &#40;d&#41; who had only one dispensation of the drug being studied&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">With these criteria&#44; a final sample of 16&#44;208 patients was obtained&#44; which were classified in each of the pharmacological groups under study according to the new drug prescribed within the study dates and monitored for a period of 12 months&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Variables</span><p id="par0030" class="elsevierStylePara elsevierViewall">The age of each patient was recorded at the time they were included in the study and the sample was classified into three groups &#40;65&#8211;74&#44; 75&#8211;84 and &#8805;85&#41;&#46; The patients&#8217; sex was also registered&#46; Other explanatory variables were collected in the six months prior to inclusion in the study&#44; such as the number of co-prescribed drugs&#44; the number of chronic diseases and a presence of mental illness&#46; All Anatomical Therapeutic Chemical &#40;ATC&#41; codes were included as the number of co-prescribed drugs&#44; except for ATC J &#40;anti-infectives for systemic use&#41; and ATC V &#40;several&#41;&#44; since only drugs used chronically were considered for the study&#46; Chronic diagnoses were coded according to the International Classification of Primary Care and the International Classification of Diseases classifications and&#44; subsequently&#44; they were unified in the <span class="elsevierStyleItalic">Expanded Diagnostic Clusters</span> &#40;EDC&#41; using the Johns Hopkins ACG<span class="elsevierStyleSup">&#174;</span> System <span class="elsevierStyleItalic">software</span> &#40;version 11&#46;0&#44; The Johns Hopkins University&#44; Baltimore&#44; MD&#44; USA&#41;&#46; The presence of mental illness was considered to be the presence of any of the following diagnostic codes&#58; PSY01 &#40;anxiety&#44; neurosis&#41;&#44; PYS02 &#40;substance abuse&#41;&#44; PSY04 &#40;behavioural problems&#41;&#44; PSY05 &#40;attention deficit disorder&#41;&#44; PSY07 &#40;schizophrenia and affective psychosis&#41;&#44; PSY08 &#40;personality disorders&#41;&#44; PSY09 &#40;depression&#41;&#44; or NUR11 &#40;dementia and delusions&#41;&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">As an outcome variable&#44; adherence was quantified by measuring the medication possession ratio &#40;MPR&#41; for each of the pharmacological study groups&#46; The MPR is calculated using a standard method for the assessment of adherence&#58; the number of pharmacological units dispensed divided by the number of units expected to be administered during the observation period&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">10</span></a> It is calculated as the proportion of the number of days with treatment administered during the intended treatment period&#44; i&#46;e&#46;&#44; 100&#215;&#8721;&#40;days administered&#41;&#47;365&#46; The number of days in which treatment was administered was estimated according to the number of tablets dispensed during the follow-up year&#44; assuming in our case that the treatment dose was one tablet per day&#46; After calculating the MPR&#44; we created the dichotomous variable &#8216;Adherence to treatment &#40;yes&#47;no&#41;&#8217;&#59; a patient was considered to have been adherent if MPR &#8805;80&#37;&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">11</span></a></p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Statistical analysis</span><p id="par0040" class="elsevierStylePara elsevierViewall">A descriptive study of the population and therapeutic adherence was made for each pharmacological group under study&#46; Once new users&#8217; adherence for each group of drugs was measured&#44; a binary logistic regression model was performed to assess the relationship between adherence &#40;dependent variable&#41; and the independent variables&#58; sex&#44; age &#40;stratified within the aforementioned three age groups&#41;&#44; number of coprescribed drugs&#44; number of chronic comorbidities and presence of mental illness&#46; 95&#37; confidence intervals were calculated for each mean&#44; and a statistical significance level of 0&#46;05 was considered in the logistic regression&#46; The set of calculations was carried out using the Stata <span class="elsevierStyleItalic">software</span> &#40;version 12&#46;0&#44; StataCorp LLC&#44; College Sation&#44; TX&#44; USA&#41;&#46;</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Results</span><p id="par0045" class="elsevierStylePara elsevierViewall">The study population consisted of 2950 new users of antidiabetics&#44; 7076 new users of hypolipidemic agents and 6182 new users of antihypertensive drugs&#46; Most of the new users of these drugs were patients aged between 65 and 74 in the case of hypolipidemic agents&#44; and between 75 and 84 in the case of antidiabetics and antihypertensive drugs&#46; There was a greater proportion of females than males in all pharmacological groups&#46; The MPR calculation showed treatment adhesions that ranged between 44&#37; and 72&#37; of new users of hypolipidemic agents and antidiabetics&#44; respectively &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0050" class="elsevierStylePara elsevierViewall">The logistic regression model applied to the new users of antidiabetics group showed that adherence to treatment decreases by 4&#46;1&#37; for each drug coprescribed to antidiabetics&#44; while for each concomitant chronic comorbidity&#44; the probability of adherence increases by 7&#46;9&#37; &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; Conversely&#44; sex&#44; age and the presence of mental illness did not modify adherence rates for this pharmacological group&#46; In the new users of hypolipidemic agents group&#44; we observed that being female decreases the probability of adhering by 18&#46;8&#37;&#44; compared to being male&#46; Patients aged between 75 and 84 had a 14&#46;2&#37; lower probability of adhering than the 65&#8211;74 reference group&#44; while in the case of those older than 85&#44; this probability was 32&#46;5&#37; lower&#46; Each additional chronic comorbidity presented by patients using hypolipidemic agents increased the probability of being adherent by 6&#46;7&#37;&#44; and with each co-prescribed drug it was increased by 2&#46;2&#37;&#46; Finally&#44; the logistic regression models revealed a 12&#46;3&#37; lower probability of females being adherent to antihypertensive drugs&#46; The probability of being adherent increased by 3&#46;5&#37; with each chronic comorbidity added&#44; while no association was observed with age&#44; number of drugs co-prescribed or presence of mental illness&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Discussion</span><p id="par0055" class="elsevierStylePara elsevierViewall">This work explored therapeutic adherence to treatment of the three the most prevalent chronic diseases in the Aragonese population aged over 65&#44; i&#46;e&#46; arterial hypertension&#44; hypercholesterolaemia and type 2 diabetes mellitus&#44; as well as the factors that condition it&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">Despite the importance of good therapeutic compliance in the treatment of these chronic diseases&#44; our study found a generally low adherence to treatment&#44; especially in the case of hypolipidemic agents and antihypertensive drugs&#44; to which approximately only one of every two patients is adherent&#46; This fact can be translated into an increase in long-term complications of the disease and an increase in morbidity and mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">12</span></a> Other studies have found higher levels of adherence to hypolipidemic agents&#44; such as one conducted in patients with coronary disease&#44; where adherence was 79&#46;8&#37; of cases at 400 days of follow-up&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">13</span></a> In another study conducted in 2010&#44; adherence to treatment with antihypertensive drugs was reported to be 79&#46;8&#37;&#44; but this was measured with defined daily dose method&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">14</span></a> This&#44; together with possible differences in the patients inclusion criteria&#44; could partially explain the differences observed with our study&#46;</p><p id="par0065" class="elsevierStylePara elsevierViewall">Conversely&#44; results showed that almost three out of every four diabetic patients adhered to their antidiabetic treatment&#46; Similar results were found in a 2011 study that showed adherence to antidiabetics was higher than adherence to hypolipidemic agents &#40;68&#46;6 vs&#46; 57&#46;5&#37;&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">15</span></a></p><p id="par0070" class="elsevierStylePara elsevierViewall">Regarding the factors that influence adherence&#44; we observed that in the group of new users of antihypertensive drugs and hypolipidemic agents&#44; adherence was greater in males than in females&#46; Some authors believe that a lower adherence in females is due to the fact that they are the primary caregiver of the family&#44; and they thus have less time and energy for their own personal care&#46;<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">16</span></a> Age was only significantly associated with the likelihood of adherence in the group of hypolipidemic agents&#44; which saw a drastic decrease in adherence at a higher age&#46; In this sense&#44; there is no consensus on the role of age in adherence&#44; since some studies observed an increase in adherence as age increased&#44; while others found the opposite&#46;<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">17</span></a> Conversely&#44; there are no studies investigating the causes of lack of adherence to hypolipidemic agents in primary prevention&#46; Some hypotheses recently put forward about this suggest that a lack of adherence to these drugs could be due to adverse effects&#59; these secondary effects are not recognised by health professionals&#44; and patients abandon their treatments as they do not feel well when taking them&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">In addition to sex and age&#44; other factors that have been associated with adhesion include&#58; number of drugs&#59; concomitant comorbidities&#44; the presence of symptoms&#59; whether the treatment is curative or preventive&#59; knowledge of the disease and the presence of mental illness&#44; among others&#46; A lack of motivation and decrease in attention and memory have also been put forward as a cause of poor adherence by certain studies&#44;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">14</span></a> although our study did not analyse these factors&#44; as there is no information on them available&#46; In our study&#44; adherence rates when other drugs were administered simultaneously were not consistent&#46; The literature has highlighted how the complexity of treatment is inversely proportional to adherence&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">14</span></a> A study into adherence to antihypertensive drugs in New Jersey found that a prescription of more than eight drugs decreased the likelihood of adherence&#46;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">18</span></a> Similarly&#44; a 2010 study in the Autonomous Community of Aragon also concluded that polypharmacy is associated with low adherence to treatment&#46; Other factors that have been associated with a decrease in adherence are&#58; the prescription of a large quantity of drugs&#59; dispensation of medication in an unsynchronised manner&#59; frequency of administration&#59; variability in the doses and the specific instructions given at the time of taking the medication&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">14</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">Contrary to the effect of the number of coprescribed drugs&#44; which was not consistent&#44; this study did find an increase in therapeutic adherence as the number of chronic diseases increased&#44; regardless of the pharmacological group studied&#46; Adherence to treatment increased on average between 3 and 8&#37; for each additional chronic comorbidity&#46; How the presence of multiple chronic diseases or multimorbidity influences therapeutic adherence has been widely studied&#44; and positive associations between diseases and adherence to antihypertensive medication has been observed&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">19</span></a> In a study into hypolipidemic agents&#44; adhesion increased from 56&#37; in patients with one chronic comorbidity to 72&#37; in patients with three or more comorbidities&#46;<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">20</span></a> Conversely&#44; other studies have shown that the presence of more comorbidities is associated with a decrease in adherence&#46;<a class="elsevierStyleCrossRefs" href="#bib0255"><span class="elsevierStyleSup">21&#44;22</span></a> While yet another study found that comorbidities requiring regular administration of medications did not affect patients&#8217; compliance with antihypertensive drugs&#46;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">22</span></a> It has also been noted that symptomatology positively influences therapeutic compliance&#59; this is intuitive given that when patients present symptoms&#44; they are more aware of their disease&#44; and as such adhere more to the established treatment in order to treat it&#46; This is why it is easy to understand that there are high rates of non-compliance in asymptomatic diseases such as dyslipidemia&#46;<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">23</span></a> Another cause of good adherence could be that this type of drug is for secondary prevention&#46; Several studies have shown that there is a higher rate of non-compliance in primary prevention than in secondary prevention&#44; and that the presence of cardiovascular comorbidities or complications derived from cardiovascular disease improve adherence&#46;<a class="elsevierStyleCrossRefs" href="#bib0270"><span class="elsevierStyleSup">24&#44;25</span></a> A greater adherence to arterial hypertension treatment has been observed in patients with higher cardiovascular risk&#44; probably because both the patient and their primary care doctor are more aware of the importance of treatment and are thus more motivated to follow their set regime&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">14</span></a></p><p id="par0085" class="elsevierStylePara elsevierViewall">The heterogeneity in the results and conclusions drawn from different studies may be related to the fact that adherence to medication is a complex phenomenon influenced by several factors&#44; including&#58; knowledge of the disease&#59; patients&#8217; attitudes&#59; the socioeconomic environment&#59; health system issues&#59; doctor&#8211;patient relationships and the role of pharmacists&#46;<a class="elsevierStyleCrossRefs" href="#bib0260"><span class="elsevierStyleSup">22&#44;26</span></a> This has been corroborated in an interview-based study carried out with type 2 diabetes mellitus patients&#46; It reported that most of the sample understood the importance of taking medication and were aware of the importance of being adequately informed about their disease&#44; comorbidities and the benefits of medication&#46;<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">27</span></a></p><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Strengths and limitations</span><p id="par0090" class="elsevierStylePara elsevierViewall">The main strength of this study is that it is a large-scale population-based study conducted in a cohort validated for research into chronic diseases and drug-epidemiology&#44; in which the data is treated through continuous quality control&#46; In addition&#44; the inclusion of only new prescription patients for each of the drugs studied minimises the risk of confounding biases&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">Its main limitations include&#44; that in order to measure adherence to treatment&#44; it is assumed each patient consumes one tablet of the drug per day&#46; A higher daily dosage for some cases could produce an overestimation of the adherence&#44; since patients with more than one might stop taking the medication or consume it incorrectly and be considered adherent&#46; The opposite might also be true&#58; cases where the daily dose is less than one tablet&#44; resulting in the dispensed prescription lasting more days than expected&#44; could lead to an underestimation of the adherence&#46; Furthermore&#44; it is assumed that the dispensation for the same disease is the same for all patients&#44; which does not correspond to the actual clinical practice of personalising prescriptions according to the tolerability of each patient&#44; the evolution of the disease or interactions with other drugs&#46;<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">28</span></a> The method of calculating the MPR to assess adherence is to assume that the tablets dispensed are the quantity consumed by the patient&#59; this method is accepted as standard for measuring adherence because measuring the actual consumption of the medication is difficult&#46;<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">29</span></a> Both the causes of discontinuation&#44; which could be due to adverse effects or patients perceiving a low efficacy&#44;<a class="elsevierStyleCrossRefs" href="#bib0250"><span class="elsevierStyleSup">20&#44;30</span></a> and indications of treatment to assess adhesion more thoroughly&#44; remain unknown&#46; Finally&#44; this study does not include information on other variables that might also influence adherence to treatment&#44; such as physical function&#44; frailty or disability&#46;</p></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Conclusions</span><p id="par0100" class="elsevierStylePara elsevierViewall">The results obtained show a suboptimal adherence to treatment of the three chronic diseases studied&#46; Regarding the factors that modulate adherence&#44; it has been observed that adherence increases with the number of chronic diseases&#44; while sex&#44; age&#44; mental illness and the number of drugs do not have a consistent effect on it&#46; This study is exploratory and opens the door to further research to assess therapeutic adherence in cases that include combinations of drugs and&#44; more exhaustively&#44; the role played by factors such as adverse effects&#59; patient&#39;s awareness of the importance of correct treatment&#59; chronic diseases&#59; patients&#8217; social environment and whether it is primary or secondary prevention&#46; These results could guide the implementation of actions aimed at improving patients&#8217; therapeutic adherence to chronic diseases and thus prevent the negative consequences of non-compliance since&#44; as stated by WHO&#44; improving therapeutic adherence may have a greater impact on health than advances in treatments&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Funding</span><p id="par0105" class="elsevierStylePara elsevierViewall">The authors have not received specific grants from public&#44; private or non-profit organisations for this study&#46;</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Conflict of interests</span><p id="par0110" class="elsevierStylePara elsevierViewall">There is no conflict of interest&#46;</p></span></span>"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background and objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Sub-optimal adherence to treatment in the general population has been highlighted in several studies&#44; especially in the elderly and&#47;or chronic patients&#46; This study aims to describe the adherence to treatment of diabetes mellitus&#44; dyslipidaemia and hypertension&#44; and to identify the factors that influence adherence&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Material and method</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Retrospective&#44; cross-sectional observational study on 16&#44;208 patients aged &#8805;65 years from the EpiChron Cohort who initiated monotherapy treatment of an antidiabetic&#44; a lipid-lowering or an antihypertensive medication in 2010&#46; Adherence was measured by calculating the medication possession ratio during one year&#44; considering those cases with medication possession ratio &#8805;80&#37; to be adherent&#46; We performed a descriptive study&#44; and a logistic regression model was used to identify the predictors of low adherence&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Adherence to antidiabetics&#44; antihypertensive and lipid-lowering drugs was 72&#46;4&#37;&#44; 50&#46;7&#37; and 44&#46;3&#37;&#44; respectively&#46; An increase in adherence of 3&#8211;8&#37; was observed for each additional chronic disease suffered by the patient&#46; The presence of mental illness did not affect adherence&#44; and sex&#44; age and number of prescribed drugs did not present consistent effects&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The results obtained show a sub-optimal adherence to treatment for the 3 chronic diseases studied&#46; Adherence increased with the number of chronic diseases&#44; while sex&#44; age and number of drugs did not show a consistent effect&#46; It is necessary to investigate if there are other factors that may influence therapeutic adherence&#44; since improving adherence may have a greater impact on health than any progress in therapies&#46;</p></span>"
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            "titulo" => "Background and objective"
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        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Antecedentes y objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Varios estudios han puesto de manifiesto un cumplimiento terap&#233;utico sub&#243;ptimo en la poblaci&#243;n general&#44; sobre todo en ancianos y en enfermos cr&#243;nicos&#46; El objetivo de este estudio es describir la adherencia al tratamiento de diabetes mellitus&#44; dislipidemia e hipertensi&#243;n arterial&#44; e identificar los factores que la influencian&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Material y m&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudio observacional transversal retrospectivo sobre 16&#46;208 pacientes mayores de 65 a&#241;os de la Cohorte EpiChron&#44; que iniciaron tratamiento en monoterapia de un antidiab&#233;tico&#44; un hipolipidemiante o un antihipertensivo en 2010&#46; La adherencia se midi&#243; mediante el c&#225;lculo de la relaci&#243;n de posesi&#243;n de medicaci&#243;n durante un a&#241;o de seguimiento&#44; consider&#225;ndose adherentes los casos con posesi&#243;n de medicaci&#243;n &#8805;80&#37;&#46; Se realiz&#243; un estudio descriptivo y un modelo de regresi&#243;n log&#237;stica para identificar los factores predictores de baja adherencia&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">La adherencia a los antidiab&#233;ticos&#44; antihipertensivos e hipolipidemiantes fue del 72&#44;4&#59; 50&#44;7 y 44&#44;3&#37;&#44; respectivamente&#46; Se observ&#243; un aumento en la adherencia del 3-8&#37; por cada enfermedad cr&#243;nica adicional del paciente&#46; La presencia de enfermedad mental no afect&#243; a la adherencia&#44; y el sexo&#44; edad y n&#250;mero de f&#225;rmacos prescritos no presentaron efectos consistentes&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Los resultados obtenidos ponen de manifiesto una adherencia al tratamiento sub&#243;ptima en las enfermedades cr&#243;nicas estudiadas&#46; La adherencia aument&#243; con el n&#250;mero de enfermedades cr&#243;nicas&#44; mientras que sexo&#44; edad y n&#250;mero de f&#225;rmacos no presentaron un efecto consistente&#46; Es necesario investigar si existen otros factores que puedan influir en la adherencia terap&#233;utica&#44; ya que su mejora puede tener mayor impacto en la salud que cualquier avance en las terapias&#46;</p></span>"
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>&#8805;85&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1029 &#40;16&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Adherence to treatment</span><a class="elsevierStyleCrossRef" href="#tblfn1005"><span class="elsevierStyleSup">a</span></a><span class="elsevierStyleItalic">&#40;&#37;&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Hypolipidemic agents</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Sex &#40;female vs&#46; male&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;812 &#40;0&#46;731&#8211;0&#46;902&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Age</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>75&#8211;84 vs&#46; 65&#8211;74&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;858 &#40;0&#46;770&#8211;0&#46;957&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>&#8805;85 vs&#46; 65&#8211;74&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;675 &#40;0&#46;563&#8211;0&#46;809&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">No&#46; of coprescribed drugs</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">1&#46;02 &#40;1&#46;01&#8211;1&#46;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">No&#46; of chronic diseases</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">1&#46;07 &#40;1&#46;05&#8211;1&#46;09&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Presence of mental illness</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;924 &#40;0&#46;813&#8211;1&#46;05&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;221&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">Antihypertensive drugs</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Sex &#40;female vs&#46; male&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;877 &#40;0&#46;785&#8211;0&#46;980&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;021&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Age</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>75&#8211;84 vs&#46; 65&#8211;74&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;01 &#40;0&#46;897&#8211;1&#46;13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;878&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>&#8805;85 vs&#46; 65&#8211;74&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;949 &#40;0&#46;808&#8211;1&#46;12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;529&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">No&#46; of coprescribed drugs</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;01 &#40;0&#46;999&#8211;1&#46;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;072&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">No&#46; of chronic diseases</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;03 &#40;1&#46;01&#8211;1&#46;05&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Presence of mental illness</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;01 &#40;0&#46;881&#8211;1&#46;16&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;893&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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              "nota" => "<p class="elsevierStyleNotepara" id="npar0005">The <span class="elsevierStyleItalic">odds ratio</span> &#40;OR&#41; of being adherent is provided for each explanatory variable&#44; accompanied by its 95&#37; confidence interval&#46;</p>"
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        "descripcion" => array:1 [
          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Effect of sex&#44; age&#44; number of prescribed drugs&#44; number of chronic diseases and the presence of mental illness on adherence to treatment by new users undergoing oral monotherapy with antidiabetics&#44; hypolipidemic agents or antihypertensive drugs&#46;</p>"
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      "titulo" => "References"
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        0 => array:2 [
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            0 => array:3 [
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              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "The World Health Report 2008 &#8211; primary healthcare&#58; how wide is the gap between its agenda and implementation in 12 high-income health systems&#63;"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "R&#46; Gauld"
                            1 => "R&#46; Blank"
                            2 => "J&#46; Burgers"
                            3 => "A&#46;B&#46; Cohen"
                            4 => "M&#46;K&#46; Dobrow"
                            5 => "N&#46;K&#46; Ikegami"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Health Policy"
                        "fecha" => "2012"
                        "volumen" => "7"
                        "paginaInicial" => "38"
                        "paginaFinal" => "58"
                      ]
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            1 => array:3 [
              "identificador" => "bib0160"
              "etiqueta" => "2"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Multimorbidity patterns in primary care&#58; interactions among chronic diseases using factor analysis"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "A&#46; Prados-Torres"
                            1 => "B&#46; Poblador-Plou"
                            2 => "A&#46; Calder&#243;n-Larra&#241;aga"
                            3 => "L&#46;A&#46; Gimeno-Feliu"
                            4 => "F&#46; Gonz&#225;lez-Rubio"
                            5 => "A&#46; Poncel-Falc&#243;"
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                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1371/journal.pone.0032190"
                      "Revista" => array:5 [
                        "tituloSerie" => "PLoS ONE"
                        "fecha" => "2012"
                        "volumen" => "7"
                        "paginaInicial" => "e32190"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22393389"
                            "web" => "Medline"
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                      ]
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                ]
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              "etiqueta" => "3"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Effectiveness of an intervention for improving drug prescription in primary care patients with multimorbidity and polypharmacy&#58; study protocol of a cluster randomized clinical trial &#40;Multi-PAP project&#41;"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "A&#46; Prados-Torres"
                            1 => "I&#46; del Cura-Gonz&#225;lez"
                            2 => "D&#46; Prados-Torres"
                            3 => "J&#46;A&#46; L&#243;pez-Rodr&#237;guez"
                            4 => "F&#46; Leiva-Fern&#225;ndez"
                            5 => "A&#46; Calder&#243;n-Larra&#241;aga"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1186/s13012-017-0584-x"
                      "Revista" => array:5 [
                        "tituloSerie" => "Implement Sci"
                        "fecha" => "2017"
                        "volumen" => "12"
                        "paginaInicial" => "54"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/28449721"
                            "web" => "Medline"
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                    ]
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              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Polypharmacy patterns&#58; unravelling systematic associations between prescribed medications"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "A&#46; Calder&#243;n-Larra&#241;aga"
                            1 => "L&#46;A&#46; Gimeno-Feliu"
                            2 => "F&#46; Gonz&#225;lez-Rubio"
                            3 => "B&#46; Poblador-Plou"
                            4 => "M&#46; Lairla-San Jos&#233;"
                            5 => "J&#46;M&#46; Abad-D&#237;ez"
                          ]
                        ]
                      ]
                    ]
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                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1371/journal.pone.0084967"
                      "Revista" => array:5 [
                        "tituloSerie" => "PLOS ONE"
                        "fecha" => "2013"
                        "volumen" => "8"
                        "paginaInicial" => "e84967"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/24376858"
                            "web" => "Medline"
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              "identificador" => "bib0175"
              "etiqueta" => "5"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Patient adherence to treatment&#58; three decades of research&#58; a comprehensive review"
                      "autores" => array:1 [
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                          "etal" => false
                          "autores" => array:3 [
                            0 => "E&#46; Vermiere"
                            1 => "H&#46; Hearnshaw"
                            2 => "P&#46;D&#46; Van Royen"
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                        ]
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                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "J Clin Pharm Ther"
                        "fecha" => "2001"
                        "volumen" => "26"
                        "paginaInicial" => "331"
                        "paginaFinal" => "342"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11679023"
                            "web" => "Medline"
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Original language: English
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es en pt

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