The intriguing future of pharmacoepidemiology

Current nanotechnological strategies using lipids, carbohydrates, proteins and metal conjugates-based carrier systems for diagnosis and treatment of tuberculosis - A review

Tuberculosis is a fatal disease caused by Mycobacterium tuberculosis with highest morbidity and mortality every year. The evolution of anti-TB drugs is promising in controlling and treating TB. Yet, the drug response varies depending on the bacterial load and host immunological profiles. The prolonged anti-TB treatment regimen and high pill burden leads to poor adherence to treatment and acquired drug resistance. In the clinical arena, sustainable nanotechnology improves the targeted strategies leading to enhance therapeutic recovery with minimum treatment duration and virtuous drug adherence. Determinants of nanosystems are the size, nature, formulation techniques, stable dosing patterns, bioavailability and toxicity. In the treatment of chronic illness, nanomedicines inclusive of biological macromolecules such as lipids, peptides, and nucleic acids occur to be a successive alternative to synthetic carriers. Most biological nanomaterials possess antimicrobial properties with other intrinsic characteristics. Recently, the pulmonary delivery of anti-TB drugs through polymeric nanocarrier systems is shown to be effective in achieving optimal drug levels in lungs for longer duration, enhanced tissue permeation and sustained systemic clearance. This thematic review provides a holistic insight into the nanodelivery systems pertinent to the therapeutic applications in pulmonary tuberculosis describing the choice of carriers, optimized process, metabolic action and excretion processes.

Data Sources for Drug Utilization Research in Brazil-DUR-BRA Study

Background: In Brazil, studies that map electronic healthcare databases in order to assess their suitability for use in pharmacoepidemiologic research are lacking. We aimed to identify, catalogue, and characterize Brazilian data sources for Drug Utilization Research (DUR).

Methods: The present study is part of the project entitled, “Publicly Available Data Sources for Drug Utilization Research in Latin American (LatAm) Countries.” A network of Brazilian health experts was assembled to map secondary administrative data from healthcare organizations that might provide information related to medication use. A multi-phase approach including internet search of institutional government websites, traditional bibliographic databases, and experts’ input was used for mapping the data sources. The reviewers searched, screened and selected the data sources independently; disagreements were resolved by consensus. Data sources were grouped into the following categories: 1) automated databases; 2) Electronic Medical Records (EMR); 3) national surveys or datasets; 4) adverse event reporting systems; and 5) others. Each data source was characterized by accessibility, geographic granularity, setting, type of data (aggregate or individual-level), and years of coverage. We also searched for publications related to each data source.

Results: A total of 62 data sources were identified and screened; 38 met the eligibility criteria for inclusion and were fully characterized. We grouped 23 (60%) as automated databases, four (11%) as adverse event reporting systems, four (11%) as EMRs, three (8%) as national surveys or datasets, and four (11%) as other types. Eighteen (47%) were classified as publicly and conveniently accessible online; providing information at national level. Most of them offered more than 5 years of comprehensive data coverage, and presented data at both the individual and aggregated levels. No information about population coverage was found. Drug coding is not uniform; each data source has its own coding system, depending on the purpose of the data. At least one scientific publication was found for each publicly available data source.

Conclusions: There are several types of data sources for DUR in Brazil, but a uniform system for drug classification and data quality evaluation does not exist. The extent of population covered by year is unknown. Our comprehensive and structured inventory reveals a need for full characterization of these data sources.

Availability of secondary healthcare data for conducting pharmacoepidemiology studies in Colombia: A systematic review

Real-world evidence (RWE) is emerging as a fundamental component of the post-marketing evaluation of medicinal products. Even though the focus on RWE studies has increased in Colombia, the availability of secondary data sources to perform this type of research is not well documented. Thus, we aimed at identifying and characterizing secondary data sources available in Colombia. We performed a systematic literature review on PubMed, EMBASE, and VHL using a combination of controlled vocabulary and keywords for the concepts of electronic health records, epidemiologic studies and Colombia. A total of 323 publications were included. These comprised 123 identified secondary data sources including pharmacy dispensing databases, government datasets, disease registries, insurance databases, and electronic heath records, among others. These data sources were mostly used for cross-sectional studies focused on disease epidemiology in a specific population. Almost all databases (95%) contained demographic information, followed by pharmacological treatment (44%) and diagnostic tests (39%). Even though the database owner was identifiable in 94%, access information was only available in 44% of the articles. Only a pharmacy-dispensing database, local cancer registries, and government databases included a description regarding the quality of the information available. The diversity of databases identified shows that Colombia has a high potential to continue enhancing its RWE strategy. Greater efforts are required to improve data quality and accessibility. The linkage between databases will expand data pooling and integration to boost the translational potential of RWE.

Challenges facing drug utilization research in the Latin American region

PURPOSE

The International Society of Pharmacoepidemiology (ISPE) in collaboration with the Latin America Drug Utilization Research Group (LatAm DURG), the Medicines Utilization Research in Africa (MURIA) group, and the Uppsala Monitoring Center, is leading an initiative to understand challenges to drug utilization research (DUR) in the Latin American (LatAm) and African regions with the goal of communicating results and proposing solutions to these challenges in four scientific publications. The purpose of this first manuscript is to identify the main challenges associated with DUR in the LatAm region.

METHODS

Drug utilization (DU) researchers in the LatAm region voluntarily participated in multiple discussions, contributed with local data and reviewed successive drafts and the final manuscript. Additionally, we carried out a literature review to identify the most relevant publications related to DU studies from the LatAm region.

RESULTS

Multiple challenges were identified in the LatAm region for DUR including socioeconomic inequality, access to medical care, complexity of the healthcare system, limited investment in research and development, limited institutional and organization resources, language barriers, limited health education and literacy. Further, there is limited use of local DUR data by decision makers particularly in the identification of emerging health needs coming from social and demographic transitions.

CONCLUSIONS

The LatAm region faces challenges to DUR which are inherent in the healthcare and political systems, and potential solutions should target changes to the system.

Use of text-mining methods to improve efficiency in the calculation of drug exposure to support pharmacoepidemiology studies

Background

Efficient generation of structured dose instructions that enable researchers to calculate drug exposure is central to pharmacoepidemiology studies. Our aim was to design and test an algorithm to codify dose instructions, applied to the NHS Scotland Prescribing Information System (PIS) that records about 100 million prescriptions per annum.

Methods

A natural language processing (NLP) algorithm was developed that enabled free-text dose instructions to be represented by three attributes - quantity, frequency and qualifier - specified by three, three and two variables, respectively. A sample of 15 593 distinct dose instructions was used to test, validate and refine the algorithm. The final algorithm used a zero-assumption approach and was then applied to the full dataset.

Results

The initial algorithm generated structured output for 13 152 (84.34%) of the 15 593 sample dose instructions, and reviewers identified 767 (5.83%) incorrect translations, giving an accuracy of 94.17%. Following subsequent refinement of the algorithm rules, application to the full dataset of 458 227 687 prescriptions (99.67% had dose instructions represented by 4 964 083 distinct instructions) generated a structured output for 92.3% of dose instruction texts. This varied by therapeutic area (from 86.7% for the central nervous system to 96.8% for the cardiovascular system).

Conclusions

We created an NLP algorithm, operational at scale, to produce structured output that gives data users maximum flexibility to formulate, test and apply their own assumptions according to the medicines under investigation. Text mining approaches can provide a solution to the safe and efficient management and provisioning of large volumes of data generated through our health systems.

Pharmacoepidemiological research for the development and evaluation of drugs in pediatrics

New regulations have come into force in Europe and the US establishing the pediatric development as an integral part of the early development of medicinal products. Parallel to the advances in pediatric clinical research, it became obvious that all available sources and research tools to gather valuable information for the safe and efficacious prescription of medicines in children should be used. Real-life, pharmacoepidemiological studies provide information that contribute to the better knowledge of drug utilization, effects and safety in the pediatric population and thereby, a better prescribing in children. In this paper, we suggest some possible applications, provide examples of impact of pharmacoepidemiological and pharmacovigilance studies and expose future perspectives in pediatric pharmacoepidemiology.

Drug utilization and medication costs at the end of life

In the end stages of life, drug treatment goals shift to symptom control and quality of life and as such changes in drug utilization are expected. The aim of this paper is to review the extent to which costs are considered in drug utilization research at the end of life, with a particular focus on the outcome measures being used. This systematic review identified seven studies across varied settings studies reporting both drug utilization and medication cost outcome measures. The main factors identified that impacted medication use and cost were the time period considered and the provision of specialist palliative care services. Combining drug utilization and medication cost outcomes is critical for the allocation of healthcare resources and the development of a sound health policy.

Overview of drug data within French health insurance databases and implications for pharmacoepidemiological studies

In this study, we aimed to provide an updated overview of drug data contained in the French health insurance database (SNIIRAM) and its associated national representative sample (EGB). This study identified most common problems concerning drug data: (i) change in level of coverage of drugs of interest (drug no more eligible for reimbursement or no more prescription-only), (ii) break in patients' eligibility (in connection with change of healthcare plan or patients' identifier), and (iii) technical and regulatory issues. We provide a brief checklist to enable a structured identification of these issues. The impact of gap in drug data availability on study validity will depend on the research question, drug, setting, and population of interest. The French health insurance database and associated sample are valuable resources for pharmacoepidemiological research. There is a need to pursue further methodological and validation studies to promote accurate and transparent use of French health insurance databases for pharmacoepidemiology.

Scaling up health knowledge at European level requires sharing integrated data: an approach for collection of database specification

Computerized health care databases have been widely described as an excellent opportunity for research. The availability of "big data" has brought about a wave of innovation in projects when conducting health services research. Most of the available secondary data sources are restricted to the geographical scope of a given country and present heterogeneous structure and content. Under the umbrella of the European Innovation Partnership on Active and Healthy Ageing, collaborative work conducted by the partners of the group on "adherence to prescription and medical plans" identified the use of observational and large-population databases to monitor medication-taking behavior in the elderly. This article describes the methodology used to gather the information from available databases among the Adherence Action Group partners with the aim of improving data sharing on a European level. A total of six databases belonging to three different European countries (Spain, Republic of Ireland, and Italy) were included in the analysis. Preliminary results suggest that there are some similarities. However, these results should be applied in different contexts and European countries, supporting the idea that large European studies should be designed in order to get the most of already available databases.

The First Decade with the Swedish Prescribed Drug Register - A Systematic Review of the Output in the Scientific Literature

The aim of this study was to quantify and characterize the scientific output from the Swedish Prescribed Drug Register (SPDR) the first decade after its establishment. A systematic literature search was performed in Medline, EMBASE and PubMed (2005-2014). Additional publications were identified by personal knowledge, reference lists, contact with active authors and a citation search in Web of Sciences. Publications using SPDR data were included in the analysis and characterized regarding study type, presence of patient-level record linkage, target population and topic. A total of 719 publications were identified in the literature search and an additional 148 by other strategies. Three hundred and thirty-eight studies fulfilled the inclusion criteria. The majority were analytic (n = 166; 49.1%) or descriptive (n = 100; 29.5%). The remaining studies focused on validation (n = 20; 5.9%), health economics (n = 16; 4.7%) or miscellaneous (n = 36; 10.7%). The analytic studies investigating effects of drug exposure focused mainly on safety (n = 46) and/or effectiveness (n = 24). The first publications appeared in 2007 (n = 6), and in 2014, 90 articles using SPDR were published. Over the years, linkage with other registers using the personal identity number increased (0-88.9% of the publications). The population was often selected by age (49.7%), condition (45.0%) and/or drug (22.8%) and concerned predominantly psychiatric (29.0%) and cardiovascular (20.4%) diseases. In conclusion, this study illustrates that the establishment of a nationwide individual-based register on dispensed prescription drugs facilitates an encouraging development of pharmacoepidemiological research, both regarding the number of publications and the scientific level of the analyses.

Systematic review of cross-national drug utilization studies in Latin America: methods and comparability

PURPOSE

We systematically review the cross-national drug utilization studies performed in Latin America (LA) in order to analyze the methods applied and assess the validity of the data to ensure the comparability.

METHODS

A systematic search in Medline, Embase, and BIREME was performed. Drug utilization studies including LA countries and comparing drug exposure data on volume were included. The data validity was judged independently by two authors as having low, medium, high, or unclear risk of bias.

RESULTS

Out of 1191 articles, 25 were kept for full text reading. Finally, five studies were selected. Eight different Latin American countries were involved in the comparisons. The selected studies analyzed wholesale data from a private research company collecting information from the private healthcare sector. In three studies, a high risk of bias in the extrapolation method applied was identified. In one study, a risk of data collection bias was detected. The most frequent limitation detected by the original authors was related to the unavailability of information from the public sector in LA.

CONCLUSION

Drug utilization studies comparing data cross-nationally are scarce in LA. In general, validity of the comparisons is hampered by a potential risk of extrapolation bias given the lack of available data on drug consumption from the public healthcare sector. Setting up systems to remediate this situation is a future challenge for researchers and (supra)national authorities in the region.

Quality indicators as a tool in improving the introduction of new medicines

Quality indicators are increasingly used as a tool to achieve safe and quality clinical care, cost-effective therapy, for professional learning, remuneration, accreditation and financial incentives. A substantial number focus on drug therapy but few address the introduction of new medicines even though this is a burning issue. The objective was to describe the issues and challenges in designing and implementing a transparent indicator framework and evaluation protocol for the introduction of new medicines and to provide guidance on how to apply quality indicators in the managed entry of new medicines. Quality indicators need to be developed early to assess whether new medicines are introduced appropriately. A number of key factors need to be addressed when developing, applying and evaluating indicators including dimensions of quality, suggested testing protocols, potential data sources, key implementation factors such as intended and unintended consequences, budget impact and cost-effectiveness, assuring the involvement of the medical professions, patients and the public, and reliable and easy-to-use computerized tools for data collection and management. Transparent approaches include the need for any quality indicators developed to handle conflict of interests to enhance their validity and acceptance. The suggested framework and indicator testing protocol may be useful in assessing the applicability of indicators for new medicines and may be adapted to healthcare settings worldwide. The suggestions build on existing literature to create a field testing methodology that can be used to produce country-specific quality indicators for new medicines as well as a cross international approach to facilitate access to new medicines.