Quality of Health Care for Medicare Beneficiaries: A Chartbook

Provides the results of a review of recently published studies and reports about the quality of health care for elderly Medicare beneficiaries. Includes examples of deficiencies and disparities in care, and some promising quality improvement initiatives

Persistent nonmalignant pain management using nonsteroidal anti-inflammatory drugs in older patients and use of inappropriate adjuvant medications.

Objective Due to the high risk of life-threatening side effects, nonsteroidal anti-inflammatory drugs (NSAIDs) are not favored for treating persistent nonmalignant pain in the elderly. We report national prescription trends with determinants of NSAIDs prescription for persistent nonmalignant pain among older patients (age 65 and over) in the US outpatient setting. Methods A cross-sectional analysis was performed using National Ambulatory Medical Care Survey data. Prescriptions for NSAIDs, opioids, and adjuvant agents were identified using five-digit National Ambulatory Medical Care Survey drug codes. Results About 89% of the 206,879,848 weighted visits in the US from 2000 to 2007 recorded NSAIDs prescriptions in patients (mean age =75.4 years). Most NSAIDs users had Medicare (75%), and about 25% were prescribed with adjuvant medications considered inappropriate for their age. Compared to men, women were 1.79 times more likely to be prescribed NSAIDs. Conclusion The high percentage of NSAIDs prescription in older patients is alarming. We recommend investigating the appropriateness of the high prevalence of NSAIDs use among older patients reported in our study.Disclosure Part of the findings were presented as a poster at the American Geriatric Society (AGS) Annual Meeting in Seattle, WA held in May 2012. The authors report no conflicts of interest in this work

Montefiore Medical Center: Integrated Care Delivery for Vulnerable Populations

Describes a system of hospitals and community- and school-based clinics tailored to low-income patients through systemwide strategies, high-quality specialty and hospital care, and integrated care delivery via care management and information technology

L'usage secondaire des données médico-administratives afin d’optimiser l’usage des médicaments chez les patients atteints de maladies respiratoires chroniques : adhésion aux médicaments, identification de cas et intensification du traitement

Medication adherence in patients with asthma and chronic obstructive pulmonary disease (COPD) is notoriously low and is associated with suboptimal therapeutic outcomes. To intervene effectively, family physicians need to assess medication adherence efficiently and accurately. Otherwise, failure to detect nonadherence may further reduce patient disease control and result in unnecessary treatment escalation that can increase the risk of adverse events and lead to more complex and costly drug regimens. The overarching goal of this thesis was to investigate how the use of secondary healthcare data can be leveraged to optimize medication adherence in clinical practice. Methodological considerations to facilitate our understanding of treatment escalation in asthma using secondary healthcare data were also examined. In the first part of my doctoral research program, I led a project which aimed at developing e-MEDRESP, a novel web-based tool built from pharmacy claims data that provides to family physicians with objective and easily interpretable information on patient adherence to asthma/COPD medications. This tool was developed in collaboration with family physicians and patients using a framework inspired by user-centered design principles. As part of a feasibility study, e-MEDRESP was subsequently implemented in electronic medical records across several family medicine clinics in Quebec (346 patients, 19 physicians). Findings showed that its integration within physician workflow was feasible. Physicians reported that the tool helped to: 1) better evaluate their patients’ medication adherence; and 2) adjust prescribed therapies, with mean ± sd ratings (5-point Likert scale) of 4.8±0.7 and 4.3±0.9, respectively. A pre-post analysis did not reveal improvement in adherence among patients whose physician consulted e-MEDRESP during a medical visit. However, significant improvements in adherence for inhaled corticosteroids (Proportion of days covered (PDC): 26.4% (95% CI: 14.3-39.3%)) and long-acting muscarinic agents (PDC: 26.4% (95% CI: 12.4-40.2%)) were observed among patients whose adherence level was less than 80% in the 6-month period prior to the medical visit. The second part of this research program consisted of two studies which laid the groundwork to estimate the association between medication adherence and treatment escalation in asthma using Canadian healthcare administrative data, a phenomenon that is currently under-explored in the literature. Prior to embarking in this study, it is important to ensure that healthcare administrative databases can be used to identify asthma patients and treatment escalations in an adequate manner. First, a systematic review was conducted to obtain an overview of the available evidence supporting the validity of algorithms to identify asthma patients in healthcare administrative databases. The algorithm developed by Gershon et al. (Canadian Respiratory Journal, 2009;16(6):183-188) comprising ≥2 ambulatory medical visits or ≥1 hospitalization for asthma over two years had the best trade-off between sensitivity (84 %) and specificity (77%). Second, an operational definition of treatment escalation was developed through a Delphi study that incorporated an expert consensus process. This definition includes 7 steps and was inspired by the 2020 Global for Initiative for Asthma treatment guidelines. I plan to integrate the definitions obtained from these two studies in a future cohort study which aims to examine the association between medication adherence and treatment escalation in asthma. My research provides compelling evidence on the importance of developing and evaluating the feasibility of implementing tools which can aid physicians in assessing medication adherence in clinical practice and extends the literature on treatment escalation in asthma.L’adhésion aux médicaments chez les patients présentant un asthme ou une maladie pulmonaire obstructive chronique (MPOC) est reconnue pour être faible. Pour intervenir efficacement, les médecins de famille doivent évaluer de manière précise l’adhésion aux médicaments. Ne pas détecter la non-adhésion peut réduire davantage la maîtrise de la maladie, entraîner une intensification non-nécessaire du traitement, mener à des schémas pharmacologiques plus complexes et coûteux et par conséquent, augmenter le risque d’événements indésirables. La présente thèse vise à approfondir les connaissances sur l'usage secondaire des données médico-administratives afin d’optimiser l’adhésion et l’usage des médicaments chez les patients atteints de maladies respiratoires chronique, au moyen d’une approche méthodologique mixte de recherche. Plusieurs questions méthodologiques cruciales concernant l’étude de l’intensification du traitement en asthme ont également été abordées. Le premier axe porte sur le développement de l’outil e-MEDRESP, qui s’appuie sur les renouvellements d’ordonnances et qui est conçu pour donner rapidement accès aux médecins de famille à une mesure objective et facilement interprétable de l’adhésion aux médicaments utilisés dans le traitement de l’asthme et de la MPOC. L’outil a été développé en collaboration avec des médecins de famille et des patients à l’aide de groupes de discussion et d’entrevues individuelles. Dans le cadre d’une étude de faisabilité, l’outil e-MEDRESP a été par la suite implanté dans les dossiers médicaux électroniques de plusieurs cliniques de médecine familiale au Québec (346 patients, 19 médecins). Les résultats ont montré que l’intégration de d’e-MEDRESP dans le flux de travail des médecins était faisable. Les médecins ont indiqué que l’outil leur a permis de : 1) mieux évaluer l’adhésion aux médicaments de leurs patients (cote moyenne et écart-type sur une échelle de Likert à 5 points [perception d’accord] de 4,8±0,7); et 2) ajuster les traitements prescrits (4,8±0,7 et 4.3±0,9). Une analyse pré-post n’a pas révélé d’amélioration au niveau de l’adhésion aux médicaments chez les patients dont le médecin a consulté e-MEDRESP lors d’une visite médicale. Toutefois, une amélioration statistiquement significative a été observée chez les patients dont le niveau d’adhésion était inférieur à 80 % au cours de la période de six mois précédant la visite et qui étaient traités par des corticostéroïdes inhalés (Proportion of days covered (PDC) = 26,4 % (IC à 95 % : 14,3-39,3 %) ou des antagonistes muscariniques à action prolongée (PDC = 26,9 % (IC à 95 % : 12,4-40,2 %)). Le deuxième axe présente des travaux préparatoires à la conduite d’une cohorte qui sera réalisée à partir de bases de données médico-administratives et qui aura comme objectif d’estimer l’association entre l’adhésion aux médicaments et l’intensification du traitement de l’asthme, une question peu explorée à ce jour. Avant de débuter une telle étude, il est important de s’assurer que les bases de données médico-administratives peuvent être utilisées pour identifier de manière adéquate les patients asthmatiques et l’intensification du traitement. Dans un premier temps, une revue systématique a été effectuée pour identifier les données probantes disponibles concernant la validité des algorithmes permettant d’identifier les patients asthmatiques dans les bases de données médico-administratives. L’algorithme qui a été développé par Gershon et coll. (Revue canadienne de pneumologie, 2009; vol. 16, no 6, p. 183-188), qui comprenait deux visites médicales ambulatoires ou une hospitalisation pour asthme sur deux ans, présentait le meilleur compromis entre la sensibilité (84 %) et la spécificité (77 %). Dans un second temps, une définition opérationnelle de l’intensification du traitement a été élaborée dans le cadre d’une étude Delphi qui incorporait un processus consensuel d’experts. Cette définition comprend sept étapes et s’inspire des lignes directrices 2020 de l'initiative mondiale de lutte contre l'asthme. Les définitions obtenues à partir de ces deux études seront intégrées dans l’étude de cohorte. Les études constituant cette thèse démontrent l’importance de développer des outils qui permettent aux médecins d’évaluer l’adhésion aux médicaments dans leur pratique clinique, en plus d’enrichir la littérature scientifique médicale sur l’intensification du traitement chez les patients asthmatiques

Sustainable reduction of antibiotic-induced antimicrobial resistance (ARena) in German ambulatory care: study protocol of a cluster randomised trial

Background: Despite many initiatives to enhance the rational use of antibiotics, there remains substantial room for improvement. The overall aim of this study is to optimise the appropriate use of antibiotics in German ambulatory care in patients with acute non-complicated infections (respiratory tract infections, such as bronchitis, sinusitis, tonsillitis and otitis media), community-acquired pneumonia and non-complicated cystitis, in order to counter the advancing antimicrobial resistance development. Methods: A three-armed cluster randomised trial will be conducted in 14 practice networks in two German federal states (Bavaria and North Rhine-Westphalia) and an added cohort that reflects standard care. The trial is accompanied by a process evaluation. Each arm will receive a different set of implementation strategies. Arm A receives a standard set, comprising of e-learning on communication with patients and quality circles with data-based feedback for physicians, information campaigns for the public, patient information material and performance-based additional reimbursement. Arm B receives this standard set plus e-learning on communication with patients and quality circles with data-based feedback tailored for non-physician health professionals of the practice team and information material for tablet computers (culture sensitive). Arm C receives the standard set as well as a computerised decision support system and quality circles in local multidisciplinary groups. The study aims to recruit 193 practices which will provide data on 23,934 patients each year (47,867 patients in total). The outcome evaluation is based on claims data and refers to established indicators of the European Surveillance of Antimicrobial Consumption Network (ESAC-Net). Primary and secondary outcomes relate to prescribing of antibiotics, which will be analysed in multivariate regression models. The process evaluation is based on interviews with surveys among physicians, non-physician health professionals of the practice team and stakeholders. A patient survey is conducted in one of the study arms. Interview data will be qualitatively analysed using thematic framework analysis. Survey data of physicians, non-physician health professionals of the practice team and patients will use descriptive and exploratory statistics for analysis. Discussion: The ARena trial will examine the effectiveness of large scale implementation strategies and explore their delivery in routine practice. Trial registration: ISRCTN, ISRCTN58150046 . Registered 24 August 2017

"Who receives statins? Variations in physicians’ prescribing patterns for patients with coronary heart disease, dyslipidemia, and diabetes"

Our objective is to estimate the extent to which clinical and non-clinical factors are associated with physicians’ prescribing patterns for statins. The data are from the National Ambulatory Medical Care Survey for the period 1992 through 2004. The three samples examined included more than 14,000 patients who were diagnosed with coronary heart disease, high cholesterol, or diabetes, individuals who are most likely to benefit from being prescribed a statin drug. Using a multinomial logit framework, we find disparities in prescribing patterns based on non-clinical factors. Namely, whites and patients who have private insurance are more likely to be prescribed a statin than nonwhites and those with public insurance. Also, even though a large increase occurred in the uptake of statins over the period 1992 to 2004, our results for 2004 show that only about 50 percent of patients diagnosed with coronary heart disease were prescribed a statin. Because coronary heart disease is the leading cause of death in the U.S. and currently is estimated to cost over $150 billion annually in the U.S. in direct and indirect costs, observed differences in prescribing patterns along these dimensions is troubling and should be part of discussions dealing with health care reform.Pharmaceuticals; Statins; Equity in Physician Prescribing Patterns; Insurance

Patient-reported financial barriers to adherence to treatment in neurology

OBJECTIVE: Many effective medical therapies are available for treating neurological diseases, but these therapies tend to be expensive and adherence is critical to their effectiveness. We used patient-reported data to examine the frequency and determinants of financial barriers to medication adherence among individuals treated for neurological disorders. PATIENTS AND METHODS: Patients completed cross-sectional surveys on iPads as part of routine outpatient care in a neurology clinic. Survey responses from a 3-month period were collected and merged with administrative sources of demographic and clinical information (eg, insurance type). We explored the association between patient characteristics and patient-reported failure to refill prescription medication due to cost in the previous 12 months, termed here as "nonadherence". RESULTS: The population studied comprised 6075 adults who were presented between July and September 2015 for outpatient neurology appointments. The mean age of participants was 56 (standard deviation: 18) years, and 1613 (54%) were females. The patients who participated in the surveys (2992, 49%) were comparable to nonparticipants with respect to gender and ethnicity but more often identified English as their preferred language (94% vs 6%, p<0.01). Among respondents, 9.8% (n=265) reported nonadherence that varied by condition. These patients were more frequently Hispanic (16.7% vs 9.8% white, p=0.01), living alone (13.9% vs 8.9% cohabitating, p<0.01), and preferred a language other than English (15.3% vs 9.4%, p=0.02). CONCLUSION: Overall, the magnitude of financial barriers to medication adherence appears to vary across neurological conditions and demographic characteristics

The Slovakian Long-term Care System. ENEPRI Research Report No. 86, 15 June 2010

Launched in January 2009, ANCIEN is a research project that runs for a 44-month period and involves 20 partners from EU member states. The project principally concerns the future of long-term care (LTC) for the elderly in Europe and addresses two questions in particular: 1) How will need, demand, supply and use of LTC develop? 2) How do different systems of LTC perform? This case study on Slovakia is part of the first stage in the project aimed at collecting the basic data and necessary information to portray long-term care in each country of the EU. It will be followed by analysis and projections of future scenarios on long-term care needs, use, quality assurance and system performance. State-of-the-art demographic, epidemiologic and econometric modelling will be used to interpret and project needs, supply and use of long-term care over future time periods for different LTC systems