Marien González-Lorenzo

Risk of infections using anti-TNF agents in rheumatoid arthritis, psoriatic arthritis, and ankylosing spondylitis: a systematic review and meta-analysis

ABSTRACT Introduction: Five anti-tumor necrosis factor (anti-TNF) agents have received regulatory approval for use in rheumatology: adalimumab, golimumab, infliximab, certolizumab, and etanercept. Apart from their well-documented therapeutic value, it is still uncertain to what extent they are associated with an increased risk of infectious adverse events. Areas covered: We conducted a systematic review and meta-analysis of published randomized studies to determine the effect of anti-TNF drugs on the occurrence of infectious adverse events (serious infections; tuberculosis; opportunistic infections; any infection). We searched Medline, Embase, and the Cochrane Library up to May 2014 to identify eligible studies in adult patients with rheumatoid arthritis, psoriatic arthritis, or ankylosing spondylitis that evaluated anti-TNF drugs compared with placebo or no treatment. Expert opinion: Our study encompassed data from 71 randomized controlled trials involving 22,760 participants (range of follow-up: 1–36 months) and seven open label extension studies with 2,236 participants (range of follow-up: 6–48 months). Quantitative synthesis of the available data found statistically significant increases in the occurrence of any infections (20%), serious infections (40%), and tuberculosis (250%) associated with anti-TNF drug use, while the data for opportunistic infections were scarce. The quality of synthesized evidence was judged as moderate. Further evidence from registries and long-term epidemiological studies are needed to better define the relationship between anti-TNF agents and infection complications.

Patient empowerment as a component of health system reforms: rights, benefits and vested interests

Different strategies have been developed across countries to foster citizens’ and patients’ involvement, from health policies to patients’ active participation in decisions regarding their health. The spectrum varies from systems where patients lead the reform of health care services, to others where a paternalistic approach still limits patients’ autonomy in decision-making. This paper describes: (1) different interventions for involving patients; (2) experiences to promote consumer evidence-based advocacy; and (3) barriers to consumer involvement in health system reforms, including vested interests in patients’ associations. Citizens’ involvement in health systems can vary substantially, but is gaining increasing weight.

Adaptation and validation study of the Beliefs about Medicines Questionnaire in psychiatric outpatients in a community mental health setting

The present study aims to establish the factor structure and reliability of the Spanish version of the Beliefs about Medicines Questionnaire (BMQ), adapted to psychiatric medication, and to analyze the potential differences between psychiatric outpatients, medical students, and psychology students.

Providing Doctors With High-Quality Information: An Updated Evaluation of Web-Based Point-of-Care Information Summaries

Background The complexity of modern practice requires health professionals to be active information-seekers. Objective Our aim was to review the quality and progress of point-of-care information summaries—Web-based medical compendia that are specifically designed to deliver pre-digested, rapidly accessible, comprehensive, and periodically updated information to health care providers. We aimed to evaluate product claims of being evidence-based. Methods We updated our previous evaluations by searching Medline, Google, librarian association websites, and conference proceedings from August 2012 to December 2014. We included Web-based, regularly updated point-of-care information summaries with claims of being evidence-based. We extracted data on the general characteristics and content presentation of products, and we quantitatively assessed their breadth of disease coverage, editorial quality, and evidence-based methodology. We assessed potential relationships between these dimensions and compared them with our 2008 assessment. Results We screened 58 products; 26 met our inclusion criteria. Nearly a quarter (6/26, 23%) were newly identified in 2014. We accessed and analyzed 23 products for content presentation and quantitative dimensions. Most summaries were developed by major publishers in the United States and the United Kingdom; no products derived from low- and middle-income countries. The main target audience remained physicians, although nurses and physiotherapists were increasingly represented. Best Practice, Dynamed, and UptoDate scored the highest across all dimensions. The majority of products did not excel across all dimensions: we found only a moderate positive correlation between editorial quality and evidence-based methodology (r=.41, P=.0496). However, all dimensions improved from 2008: editorial quality (P=.01), evidence-based methodology (P=.015), and volume of diseases and medical conditions (P<.001). Conclusions Medical and scientific publishers are investing substantial resources towards the development and maintenance of point-of-care summaries. The number of these products has increased since 2008 along with their quality. Best Practice, Dynamed, and UptoDate scored the highest across all dimensions, while others that were marketed as evidence-based were less reliable. Individuals and institutions should regularly assess the value of point-of-care summaries as their quality changes rapidly over time.

Epidemiologic evidence of slow growing, nonprogressive or regressive breast cancer: A systematic review

The general aim of this systematic review is to mitigate breast cancer (BC) overdiagnosis and overtreatment. The specific aim is to summarize available data on the occurrence and features of indolent invasive or in situ (DCIS) BC, and precisely survival of untreated cases, prevalence of occult cancers found in autopsies, frequency of regressive BC. PubMed, Embase and Cochrane Library were systematically searched up to 3/31/2014. Eligibility criteria were: cohort studies, case‐control studies, uncontrolled case series assessing survival in women with a diagnosis of BC who did not receive treatment compared to treated women; case series of autopsies estimating the prevalence of undiagnosed BC; cohort studies, case‐control studies, uncontrolled case series, case reports assessing the occurrence of spontaneous regression of BC in women with a confirmed histology diagnosis. Untreated BC: 8 cohort studies and 12 case series (3593 BC) were included. In three controlled cohort studies (diagnoses 1978–2006), the 5‐years overall survival was 19–43%. Occult BC: 8 case series (2279 autopsies) were included. The prevalence of invasive BC undiagnosed during lifetime range was 0–1.5%, while for DCIS the range was 0.2–14.7%. Spontaneous regression: 2 cohort studies, 3 case reports, 1 case series included. In the cohort studies the relative risk of regression for screen detected compared with nonscreened BC was estimated as 1.2 and 1.1. It seems plausible that around 10% of invasive BC are not symptomatic during life, and that one fith of BC patients if untreated would be alive after 5 years. Around 1 of 10 screen‐detected BC may regress according two studies.

Implementing an evidence-based computerized decision support system to improve patient care in a general hospital: the CODES study protocol for a randomized controlled trial

BackgroundComputerized decision support systems (CDSSs) are information technology-based software that provide health professionals with actionable, patient-specific recommendations or guidelines for disease diagnosis, treatment, and management at the point-of-care. These messages are intelligently filtered to enhance the health and clinical care of patients. CDSSs may be integrated with patient electronic health records (EHRs) and evidence-based knowledge.Methods/designWe designed a pragmatic randomized controlled trial to evaluate the effectiveness of patient-specific, evidence-based reminders generated at the point-of-care by a multi-specialty decision support system on clinical practice and the quality of care. We will include all the patients admitted to the internal medicine department of one large general hospital. The primary outcome is the rate at which medical problems, which are detected by the decision support software and reported through the reminders, are resolved (i.e., resolution rates). Secondary outcomes are resolution rates for reminders specific to venous thromboembolism (VTE) prevention, in-hospital all causes and VTE-related mortality, and the length of hospital stay during the study period.DiscussionThe adoption of CDSSs is likely to increase across healthcare systems due to growing concerns about the quality of medical care and discrepancy between real and ideal practice, continuous demands for a meaningful use of health information technology, and the increasing use of and familiarity with advanced technology among new generations of physicians. The results of our study will contribute to the current understanding of the effectiveness of CDSSs in primary care and hospital settings, thereby informing future research and healthcare policy questions related to the feasibility and value of CDSS use in healthcare systems. This trial is seconded by a specialty trial randomizing patients in an oncology setting (ONCO-CODES).Trial registrationClinicalTrials.gov, https://clinicaltrials.gov/ct2/show/NCT02577198?term=NCT02577198&rank=1

Sistemi computerizzati di supporto alle decisioni cliniche: l’EBM al letto del malato

Introduction One of the aims of Evidence-Based Medicine is to improve quality and appropriateness of care by the expedition of the knowledge transfer process. Computerized Decision Support Systems (CDSSs) are computer programs that provide alerts to the prescribing doctor directly at the moment of medical examination. In fact, alerts are integrated within the single patient electronic health record. CDSS based on the best available and updated evidence and guidelines may be an efficient tool to facilitate the transfer of the latest results from clinical research directly at the bedside, thus supporting decision-making. Objectives The CODES (COmputerized DEcision Support) trial is a research program funded by the Italian Ministry of Health and the Lombardy Region. It aims to evaluate the feasibility of the implementation of a CDSS at the hospital level and to assess its efficacy in daily clinical practice. Methods The CODES project includes two pragmatic RCTs testing a CDSS (i.e. the EBMeDS - MediDSS) in two large Italian hospitals: the first is a general hospital in Vimercate (Lombardy), the second is an oncologic research center in Meldola (Emilia Romagna). The CDSS supports a full spectrum of decisions: therapy, drug interactions, diagnosis, and management of health care services are covered by a hundreds of reminders. However only few reminders are activated per patient, highlighting crucial problems in the delivery of high-quality care. The two trials have similar design and primary outcome, the rate at which alerts detected by the software are resolved by a decision of the clinicians. The project also includes the assessment of barriers and facilitators in the adoption of these new technologies by hospital staff members and the retrospective evaluation of the repeated risks in prescription habits. Results The trials are ongoing and currently more than 10,000 patients have been randomized. The qualitative analysis revealed a progressive shift in the perception of the tool. Doctors are now seeing it as a trusted second opinion, available 24/7, which is tailored to the needs of the patient. The retrospective analysis showed the opportunity to achieve a better healthcare quality through an active risk management. Aggregating data from whole hospitals emerge rare drug interactions that otherwise would not be recognizable. Discussion CDSS are promising tools to support clinicians in everyday practice. They can be used as a real time app or to perform retrospective analyses. These data can provide unique resources to hospital management.INTRODUCTION One of the aims of Evidence-Based Medicine is to improve quality and appropriateness of care by the expedition of the knowledge transfer process. Computerized Decision Support Systems (CDSSs) are computer programs that provide alerts to the prescribing doctor directly at the moment of medical examination. In fact, alerts are integrated within the single patient electronic health record. CDSS based on the best available and updated evidence and guidelines may be an efficient tool to facilitate the transfer of the latest results from clinical research directly at the bedside, thus supporting decision-making. OBJECTIVES The CODES (COmputerized DEcision Support) trial is a research program funded by the Italian Ministry of Health and the Lombardy Region. It aims to evaluate the feasibility of the implementation of a CDSS at the hospital level and to assess its efficacy in daily clinical practice. METHODS The CODES project includes two pragmatic RCTs testing a CDSS (i.e. the EBMeDS - MediDSS) in two large Italian hospitals: the first is a general hospital in Vimercate (Lombardy), the second is an oncologic research center in Meldola (Emilia Romagna). The CDSS supports a full spectrum of decisions: therapy, drug interactions, diagnosis, and management of health care services are covered by a hundreds of reminders. However only few reminders are activated per patient, highlighting crucial problems in the delivery of high-quality care. The two trials have similar design and primary outcome, the rate at which alerts detected by the software are resolved by a decision of the clinicians. The project also includes the assessment of barriers and facilitators in the adoption of these new technologies by hospital staff members and the retrospective evaluation of the repeated risks in prescription habits. RESULTS The trials are ongoing and currently more than 10,000 patients have been randomized. The qualitative analysis revealed a progressive shift in the perception of the tool. Doctors are now seeing it as a trusted second opinion, available 24/7, which is tailored to the needs of the patient. The retrospective analysis showed the opportunity to achieve a better healthcare quality through an active risk management. Aggregating data from whole hospitals emerge rare drug interactions that otherwise would not be recognizable. DISCUSSION CDSS are promising tools to support clinicians in everyday practice. They can be used as a real time app or to perform retrospective analyses. These data can provide unique resources to hospital management.

[Computerized decision support systems: EBM at the bedside].

Introduction One of the aims of Evidence-Based Medicine is to improve quality and appropriateness of care by the expedition of the knowledge transfer process. Computerized Decision Support Systems (CDSSs) are computer programs that provide alerts to the prescribing doctor directly at the moment of medical examination. In fact, alerts are integrated within the single patient electronic health record. CDSS based on the best available and updated evidence and guidelines may be an efficient tool to facilitate the transfer of the latest results from clinical research directly at the bedside, thus supporting decision-making. Objectives The CODES (COmputerized DEcision Support) trial is a research program funded by the Italian Ministry of Health and the Lombardy Region. It aims to evaluate the feasibility of the implementation of a CDSS at the hospital level and to assess its efficacy in daily clinical practice. Methods The CODES project includes two pragmatic RCTs testing a CDSS (i.e. the EBMeDS - MediDSS) in two large Italian hospitals: the first is a general hospital in Vimercate (Lombardy), the second is an oncologic research center in Meldola (Emilia Romagna). The CDSS supports a full spectrum of decisions: therapy, drug interactions, diagnosis, and management of health care services are covered by a hundreds of reminders. However only few reminders are activated per patient, highlighting crucial problems in the delivery of high-quality care. The two trials have similar design and primary outcome, the rate at which alerts detected by the software are resolved by a decision of the clinicians. The project also includes the assessment of barriers and facilitators in the adoption of these new technologies by hospital staff members and the retrospective evaluation of the repeated risks in prescription habits. Results The trials are ongoing and currently more than 10,000 patients have been randomized. The qualitative analysis revealed a progressive shift in the perception of the tool. Doctors are now seeing it as a trusted second opinion, available 24/7, which is tailored to the needs of the patient. The retrospective analysis showed the opportunity to achieve a better healthcare quality through an active risk management. Aggregating data from whole hospitals emerge rare drug interactions that otherwise would not be recognizable. Discussion CDSS are promising tools to support clinicians in everyday practice. They can be used as a real time app or to perform retrospective analyses. These data can provide unique resources to hospital management.INTRODUCTION One of the aims of Evidence-Based Medicine is to improve quality and appropriateness of care by the expedition of the knowledge transfer process. Computerized Decision Support Systems (CDSSs) are computer programs that provide alerts to the prescribing doctor directly at the moment of medical examination. In fact, alerts are integrated within the single patient electronic health record. CDSS based on the best available and updated evidence and guidelines may be an efficient tool to facilitate the transfer of the latest results from clinical research directly at the bedside, thus supporting decision-making. OBJECTIVES The CODES (COmputerized DEcision Support) trial is a research program funded by the Italian Ministry of Health and the Lombardy Region. It aims to evaluate the feasibility of the implementation of a CDSS at the hospital level and to assess its efficacy in daily clinical practice. METHODS The CODES project includes two pragmatic RCTs testing a CDSS (i.e. the EBMeDS - MediDSS) in two large Italian hospitals: the first is a general hospital in Vimercate (Lombardy), the second is an oncologic research center in Meldola (Emilia Romagna). The CDSS supports a full spectrum of decisions: therapy, drug interactions, diagnosis, and management of health care services are covered by a hundreds of reminders. However only few reminders are activated per patient, highlighting crucial problems in the delivery of high-quality care. The two trials have similar design and primary outcome, the rate at which alerts detected by the software are resolved by a decision of the clinicians. The project also includes the assessment of barriers and facilitators in the adoption of these new technologies by hospital staff members and the retrospective evaluation of the repeated risks in prescription habits. RESULTS The trials are ongoing and currently more than 10,000 patients have been randomized. The qualitative analysis revealed a progressive shift in the perception of the tool. Doctors are now seeing it as a trusted second opinion, available 24/7, which is tailored to the needs of the patient. The retrospective analysis showed the opportunity to achieve a better healthcare quality through an active risk management. Aggregating data from whole hospitals emerge rare drug interactions that otherwise would not be recognizable. DISCUSSION CDSS are promising tools to support clinicians in everyday practice. They can be used as a real time app or to perform retrospective analyses. These data can provide unique resources to hospital management.

Modello decisionale per l’adozione del vaccino antivaricella: una sfida di fattibilità

INTRODUCTION Decision makers adopt interventions, including vaccines, which are most beneficial to populations. A transparent, unbiased, and comprehensive framework based on evidence-based criteria is a promising tool to guide decision-making on vaccine adoption: we developed a multi-dimensional framework conceived from the DECIDE - Evidence to decision Framework (EtD framework). We validated the framework by conducting a real data and evidence set collection on varicella vaccination and tested it with a multidisciplinary group. METHODS The EtD framework presented evidence concerning the varicella vaccination organized in six dimensions: Burden of disease, Vaccine characteristics and impact of immunization program, Values and preferences, Resource use, Equity and Feasibility. Two reviewers completed each dimension with information about varicella vaccine. A multidisciplinary group of 42 participants were asked to evaluate the information in the framework, decide whether to introduce varicella vaccine in the national immunization program, assess the usefulness, and propose some impovements of the decision-making tool. RESULTS From 33 responders (79%) out of 42, 61% supported the adoption of the varicella vaccine as part of the national immunization program. A half (50%) favored the monovalent vaccine while the other half chose the tetravalent vaccine. About 90% of responders found information in the EtD framework comprehensive, easy to understand, and presented in a way that helped make decisions. CONCLUSIONS Complete and transparent information are welcome. The EtD identified a situation of important divergences between policy makers regarding the introduction and the choice of vaccine. In our case study, for example, a third of the multidisciplinary group did not recommend the adoption of varicella vaccine.