Economic evaluations of non-communicable diseases conducted in Sub-Saharan Africa: a critical review of data sources

BACKGROUND

Policymakers in sub-Saharan Africa (SSA) face challenging decisions regarding the allocation of health resources. Economic evaluations can help decision makers to determine which health interventions should be funded and or included in their benefits package. A major problem is whether the evaluations incorporated data from sources that are reliable and relevant to the country of interest. We aimed to review the quality of the data sources used in all published economic evaluations for cardiovascular disease and diabetes in SSA.

METHODS

We systematically searched selected databases for all published economic evaluations for CVD and diabetes in SSA. We modified a hierarchy of data sources and used a reference case to measure the adherence to reporting and methodological characteristics, and descriptively analysed author statements.

RESULTS

From 7,297 articles retrieved from the search, we selected 35 for study inclusion. Most were modelled evaluations and almost all focused on pharmacological interventions. The studies adhered to the reporting standards but were less adherent to the methodological standards. The quality of data sources varied. The quality level of evidence in the data domains of resource use and costs were generally considered of high quality, with studies often sourcing information from reliable databases within the same jurisdiction. The authors of most studies referred to data sources in the discussion section of the publications highlighting the challenges of obtaining good quality and locally relevant data.

CONCLUSIONS

The data sources in some domains are considered high quality but there remains a need to make substantial improvements in the methodological adherence and overall quality of data sources to provide evidence that is sufficiently robust to support decision making in SSA within the context of UHC and health benefits plans. Many SSA governments will need to strengthen and build their capacity to conduct economic evaluations of interventions and health technology assessment for improved priority setting. This capacity building includes enhancing local infrastructures for routine data production and management. If many of the policy makers are using economic evaluations to guide resource allocation, it is imperative that the evidence used is of the feasibly highest quality.

Towards a National Definition and Database for Nonfatal Shooting Incidents

After a decades-long decline, criminal gun violence has increased dramatically in many parts of the USA. Most victims survive their gunshot wounds; however, research and data collection focus primarily on fatal events. In fact, there is no official national definition of a nonfatal shooting incident, nor a repository of these data. This definitional oversight inhibits data-informed policy and practice. The current study involves two data sources: fatal and nonfatal shooting incidents recorded in an internal metropolitan police database and official Uniform Crime Reporting (UCR) violent crime data. Shooting incidents in the police database were matched to incidents in the UCR data to determine how they were officially categorized and reported to the FBI. The majority (82.0%) of nonfatal shooting incidents in the UCR data were recorded as Aggravated Assault-Gun, while 16.5% were classified as a violent crime other than an Aggravated Assault-Gun. The UCR data were missing 1.5% of the nonfatal shooting incidents documented by the police database. Almost four-fifths (79.7%) of all Aggravated Assault-Gun incidents in the UCR data did not meet the suggested definition of a nonfatal shooting incident. Overall, official crime statistics are not a good data source for nonfatal shooting incidents. A holistic response to criminal gun violence requires comprehensive, valid, and reliable data collection on all shooting incidents, especially those incidents in which a person is injured by gunfire. Establishing a national definition for a nonfatal shooting incident is the first important step toward effective gun violence prevention and reduction.

Identification and Mapping Real-World Data Sources for Heart Failure, Acute Coronary Syndrome, and Atrial Fibrillation

BACKGROUND

Transparent and robust real-world evidence sources are increasingly important for global health, including cardiovascular (CV) diseases. We aimed to identify global real-world data (RWD) sources for heart failure (HF), acute coronary syndrome (ACS), and atrial fibrillation (AF).

METHODS

We conducted a systematic review of publications with RWD pertaining to HF, ACS, and AF (2010-2018), generating a list of unique data sources. Metadata were extracted based on the source type (e.g., electronic health records, genomics, and clinical data), study design, population size, clinical characteristics, follow-up duration, outcomes, and assessment of data availability for future studies and linkage.

RESULTS

Overall, 11,889 publications were retrieved for HF, 10,729 for ACS, and 6,262 for AF. From these, 322 (HF), 287 (ACS), and 220 (AF) data sources were selected for detailed review. The majority of data sources had near complete data on demographic variables (HF: 94%, ACS: 99%, and AF: 100%) and considerable data on comorbidities (HF: 77%, ACS: 93%, and AF: 97%). The least reported data categories were drug codes (HF, ACS, and AF: 10%) and caregiver involvement (HF: 6%, ACS: 1%, and AF: 1%). Only a minority of data sources provided information on access to data for other researchers (11%) or whether data could be linked to other data sources to maximize clinical impact (20%). The list and metadata for the RWD sources are publicly available at www.escardio.org/bigdata.

CONCLUSIONS

This review has created a comprehensive resource of CV data sources, providing new avenues to improve future real-world research and to achieve better patient outcomes.

Data Sources for Understanding the Social Determinants of Health: Examples from Two Middle-Income Countries: the 3-D Commission

The expansion in the scope, scale, and sources of data on the wider social determinants of health (SDH) in the last decades could bridge gaps in information available for decision-making. However, challenges remain in making data widely available, accessible, and useful towards improving population health. While traditional, government-supported data sources and comparable data are most often used to characterize social determinants, there are still capacity and management constraints on data availability and use. Conversely, privately held data may not be shared. This study reviews and discusses the nature, sources, and uses of data on SDH, with illustrations from two middle-income countries: Kenya and the Philippines. The review highlights opportunities presented by new data sources, including the use of big data technologies, to capture data on social determinants that can be useful to inform population health. We conducted a search between October 2010 and September 2020 for grey and scientific publications on social determinants using a search strategy in PubMed and a manual snowball search. We assessed data sources and the data environment in both Kenya and the Philippines. We found limited evidence of the use of new sources of data to study the wider SDH, as most of the studies available used traditional sources. There was also no evidence of qualitative big data being used. Kenya has more publications using new data sources, except on the labor determinant, than the Philippines. The Philippines has a more consistent distribution of the use of new data sources across the HEALTHY determinants than Kenya, where there is greater variation of the number of publications across determinants. The results suggest that both countries use limited SDH data from new data sources. This limited use could be due to a number of factors including the absence of standardized indicators of SDH, inadequate trust and acceptability of data collection methods, and limited infrastructure to pool, analyze, and translate data.

Use of Data to Understand the Social Determinants of Depression in Two Middle-Income Countries: the 3-D Commission

Depression accounts for a large share of the global disease burden, with an estimated 264 million people globally suffering from depression. Despite being one of the most common kinds of mental health (MH) disorders, much about depression remains unknown. There are limited data about depression, in terms of its occurrence, distribution, and wider social determinants. This work examined the use of novel data sources for assessing the scope and social determinants of depression, with a view to informing the reduction of the global burden of depression.This study focused on new and traditional sources of data on depression and its social determinants in two middle-income countries (LMICs), namely, Brazil and India. We identified data sources using a combination of a targeted PubMed search, Google search, expert consultations, and snowball sampling of the relevant literature published between October 2010 and September 2020. Our search focused on data sources on the following HEALTHY subset of determinants: healthcare (H), education (E), access to healthy choices (A), labor/employment (L), transportation (T), housing (H), and income (Y).Despite the emergence of a variety of data sources, their use in the study of depression and its HEALTHY determinants in India and Brazil are still limited. Survey-based data are still the most widely used source. In instances where new data sources are used, the most commonly used data sources include social media (twitter data in particular), geographic information systems/global positioning systems (GIS/GPS), mobile phone, and satellite imagery. Often, the new data sources are used in conjunction with traditional sources of data. In Brazil, the limited use of new data sources to study depression and its HEALTHY determinants may be linked to (a) the government's outsized role in coordinating healthcare delivery and controlling the data system, thus limiting innovation that may be expected from the private sector; (b) the government routinely collecting data on depression and other MH disorders (and therefore, does not see the need for other data sources); and (c) insufficient prioritization of MH as a whole. In India, the limited use of new data sources to study depression and its HEALTHY determinants could be a function of (a) the lack of appropriate regulation and incentives to encourage data sharing by and within the private sector, (b) absence of purposeful data collection at subnational levels, and (c) inadequate prioritization of MH. There is a continuing gap in the collection and analysis of data on depression, possibly reflecting the limited priority accorded to mental health as a whole. The relatively limited use of data to inform our understanding of the HEALTHY determinants of depression suggests a substantial need for support of independent research using new data sources. Finally, there is a need to revisit the universal health coverage (UHC) frameworks, as these frameworks currently do not include depression and other mental health-related indicators so as to enable tracking of progress (or lack thereof) on such indicators.

Epidemiology of Rheumatoid Arthritis in Korea

Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease characterised by symmetrical involvement of the joints, associated extra-articular manifestations and functional disability. In Korea, several epidemiologic studies reporting prevalence and incidence rates of RA have been conducted using large databases such as claims databases, national surveys, prospective cohort databases or electronic health records; according to these data sources, the estimated prevalence ranged from 0.27% to 1.85%. The prevalence of extra-articular manifestations such as interstitial lung disease (ILD) and Sjögren's syndrome (SS) were also reported, but an issue of external validity of the study results persisted. In this review, we detail the epidemiology of Korean RA patients, focusing on the prevalence of RA and the frequency of systemic extra-articular manifestations including ILD and SS reported in previous studies. In addition, we discuss the current methodological issues which are inherent in Korean epidemiologic studies for patients with RA with understanding of the characteristics of each database.

[How to assess the elimination of viral hepatitis B, C, and D in Germany? Outcomes of an interdisciplinary workshop]

Hintergrund

Die Weltgesundheitsorganisation (WHO) hat 2016 eine Strategie zur Eliminierung von Hepatitis-B-, -C- und -D-Virusinfektionen verfasst und Indikatoren zum Monitoring des Fortschritts definiert. Das Robert Koch-Institut hat 2019 ein interdisziplinäres Arbeitstreffen zur Verbesserung der Datenlage veranstaltet.

Ziele

Ziele waren die Vernetzung der Akteure, die Erstellung einer Übersicht zu den in Deutschland vorhandenen Datenquellen zu Hepatitis B, C und D und die Diskussion methodischer Aspekte.

Material und Methoden

Die für Deutschland relevanten WHO-Indikatoren wurden extrahiert und es wurde bestimmt, wie diese anhand vorliegender Daten konstruiert werden können. Bei dem Arbeitstreffen mit AkteurInnen aus dem öffentlichen Gesundheitsdienst, aus Kliniken, Laboren, von Krankenkassen, Forschungsinstituten, Datenhaltern und Registern wurden in Arbeitsgruppen Erhebungsmethoden diskutiert, welche dazu dienen können, fehlende Daten zu ermitteln. Die Datenquellen und Daten wurden hinsichtlich Qualität, Vollständigkeit sowie praktischer Umsetzbarkeit evaluiert und priorisiert.

Ergebnisse

Für die Allgemeinbevölkerung können die Indikatoren zu Prävention, Testung, Diagnose, Behandlung, Heilung, Folgeschäden und Mortalität aus Diagnose‑, Versorgungs- und Registerdaten, Daten aus Laboren und klinischen Zentren sowie einzelnen Studien konstruiert werden. Datenquellen für vulnerable Gruppen beschränken sich auf einzelne Studien zu Drogengebrauchenden, Männern, die Sex mit Männern haben, und HIV-Ko-Infizierten. Daten für MigrantInnen, Inhaftierte und SexarbeiterInnen sind kaum verfügbar; ebenso fehlen aktuelle Daten zur Krankheitslast chronischer Hepatitisinfektionen in der Allgemeinbevölkerung.

Diskussion

Für alle ausgewählten Indikatoren konnten Datenquellen, ihre Besonderheiten und Limitationen identifiziert werden. Im nächsten Schritt gilt es, die entwickelten Ideen in konkrete Projekte mit einzelnen Datenhaltern umzusetzen.

Zusatzmaterial online

Zusätzliche Informationen sind in der Online-Version dieses Artikels (10.1007/s00103-020-03260-2) enthalten.

[Wilson's disease in Spain: validation of sources of information used by the Rare Diseases Registries]

OBJECTIVE

To evaluate the sources of information used by the Regional Population-based Registries of Rare Diseases (RRD) for Wilson's Disease identification in Spain; to calculate its prevalence and mortality; and to describe the sociodemographic characteristics of those affected.

METHOD

Cross-sectional epidemiological study, period 2010-2015. Possible cases were identified by codes 275.1 (ICD-9-CM), E83.0 (ICD-10) and 905 (ORPHAcode) in: 15 participating RRD and the Rare Disease Patients Registry of the Carlos III Health Institute. The diagnoses were confirmed through a clinical documentation review. The positive predictive value (PPV) of the sources of information used by RRD and their combinations were obtained. The prevalence, mortality and the distribution of sociodemographic characteristics were calculated.

RESULTS

The Hospital Discharge Database (HDD) was the most used source by the RRD (PPV=39.4%), followed by the Orphan Drugs Registry (ODR) (PPV=81.9%). The Clinical History of Primary Care (PC) obtains PPV=55.9%. The combinations with highest PPV were the ODR with HDD (PPV=95.8%) and the ODR with PC (PPV=92.9%). 514 cases were confirmed, 57.2% men, with a median age of diagnosis of 21.3 years. The prevalence was 1.64/100,000 inhabitants in 2015 and mortality rate was 3.0%, being both higher in men.

CONCLUSIONS

Incorporation of ODR and PC into the RRD is recommended, as its combination and ODR with HDD could be used as an automatic validation criterion for Wilson's disease. The prevalence obtained was similar to that of countries close to Spain.

Data Sources and Gateways: Design and Open Specification

Introduction:

With With the proliferation of available ICT services, several sensors and health applications have become ubiquitous, while many applications have been developed to detect certain health conditions and early signs of disease. Currently, all these services operate independently, and the available data is heterogeneous with limited value gained from its exploitation.

Aim:

The Data Sources and Gateways component aims at providing an abstracted and unified API to support the data accumulation from various sources including healthcare organisations, biosensors, laboratories and mobile applications. Meanwhile it tackles connectivity and communication issues with such information sources.

Methods:

The CrowdHEALTH Data Sources and Gateways Service incorporates four main services: The Configuration Service, The DB Connection Handling Service, The File Parsing Service and The RESTful Client Service.

Results:

The initial version of the component design has built upon the requirements collected from the use case participants acting also as data providers.

Conclusion:

These four services presented in this paper guide the implementation of the first version of the Data Sources and Gateways component software prototype. The Data Sources and Gateways component remains to be evaluated within the context of the project and be enriched in order to meet additional end user needs.

Strengths and weaknesses of existing data sources to support research to address the opioids crisis

Better opioid prescribing practices, promoting effective opioid use disorder treatment, improving naloxone access, and enhancing public health surveillance are strategies central to reducing opioid-related morbidity and mortality. Successfully advancing and evaluating these strategies requires leveraging and linking existing secondary data sources. We conducted a scoping study in Fall 2017 at RAND, including a literature search (updated in December 2018) complemented by semi-structured interviews with policymakers and researchers, to identify data sources and linking strategies commonly used in opioid studies, describe data source strengths and limitations, and highlight opportunities to use data to address high-priority public health research questions. We identified 306 articles, published between 2005 and 2018, that conducted secondary analyses of existing data to examine one or more public health strategies. Multiple secondary data sources, available at national, state, and local levels, support such research, with substantial breadth in data availability, data contents, and the data's ability to support multi-level analyses over time. Interviewees identified opportunities to expand existing capabilities through systematic enhancements, including greater support to states for creating and facilitating data use, as well as key data challenges, such as data availability lags and difficulties matching individual-level data over time or across datasets. Multiple secondary data sources exist that can be used to examine the impact of public health approaches to addressing the opioid crisis. Greater data access, improved usability for research purposes, and data element standardization can enhance their value, as can improved data availability timeliness and better data comparability across jurisdictions.

Cerebral palsy information system with an approach to information architecture: a systematic review

Background

Long-term complications and high costs of cerebral palsy (CP) as well as inconsistency in data related to this disease reveal the need for extensive planning to obtain accurate and complete data for the effective management of patients.

Objective

The present study reviews the information architecture of CP information system.

Method

The relevant articles published from early 1988 to 31 July 2018 were extracted through searching PubMed, Scopus, Cochran, Web of Science and Embase databases conducted independently by two researchers.

Results

A total of 39 articles on CP information system were reviewed. Hospitals, rehabilitation centres and outpatient clinics were found to be the main organisations in charge of generating CP data. Each CP database used several data sources, with hospitals serving as the most important sources of information and the main generators of data. The main CP datasets were categorised into four groups of demographic data, diagnosis, motor function and visual impairment. The majority of data standards were related to the use of the International Classification of Functioning, Disability and Health and the Gross Motor Function Classification System. Finally, accuracy, completeness and consistency were the criteria employed in data quality control.

Conclusion

Developing a robust CP information system requires deploying the principles of information architecture when developing the system, as these can improve data structure and content of CP system, as well as data quality and data sharing.

[Migration and health in Germany-available data sources]

BACKGROUND

Migration background plays an important role in analyses of health inequalities in Germany. The heterogeneity of people with and without migration background requires a differentiated recording of migration-related characteristics. The latest overview of representative data sources from the Health Reporting (GBE) that included information on migration background was compiled in 2008.

AIM

The aim of this article is to describe existing data sources reporting the health situation of people with and without a migration background.

MATERIALS AND METHODS

Starting from the websites and publications of owners of GBE data, representative studies and routine data sources were identified. All sources that consider at least one migration-related characteristic were included. For all included studies, migration-related characteristics, information on the social situation, and health-related indicators were collected.

RESULTS

A total of 46 data sources (including 19 routine data sources and 27 studies) were included. The most common indicators of the migration background are nationality (n = 36) and the country of birth (n = 29). Health-related indicators cover a wide range of issues.

DISCUSSION

Routine data sources continue to collect little information on the migration background (usually only nationality) and thus constrain migration-differentiated analyses of the health situation. Survey data allow for more nuanced analysis. However, the actual analysis possibilities and content knowledge of the respective data sources were not the subject of this article.

Collection of antirheumatic medication data from both patients and rheumatologists shows strong agreement in a real-world clinical cohort: the Ontario Best Practices Research Initiative-a rheumatoid arthritis cohort

OBJECTIVES

The objective of the study was to examine the agreement between patient- and rheumatologist-reported antirheumatic medication (ARM) use in the Ontario Best Practices Research Initiative.

STUDY DESIGN AND SETTING

We included adult patients who enrolled on or after September 1st 2010 and compared ARM use where rheumatologist visits and interviews occurred within 60 days of each other. Kappa statistic was used to measure agreement. We calculated sensitivity, specificity, and positive and negative predictive value, considering patient-reported data as the gold standard. To examine factors associated with agreement, a hierarchical generalized linear model was used. A subset analysis was also completed to compare start and stop dates of ARM.

RESULTS

Overall agreement for ARM was good with higher sensitivity and lower specificity for conventional synthetic disease-modifying antirheumatic drugs compared with biologic disease-modifying antirheumatic drugs. Increased Health Assessment Questionnaire pain index and 28 disease activity score-erythrocyte sedimentation rate (DAS28-ESR) were significantly associated with lower agreement. Reporting stop dates was higher (19.4%) for patient-reported data compared with rheumatologist-reported data (13.1%).

CONCLUSION

ARM reports had strong agreement particularly for patients who have low disease activity and pain. ARM discontinuation was reported more frequently by patients, which may indicate that patients may be discontinuing use of their rheumatoid arthritis medications before consulting their rheumatologist.

Measuring multimorbidity in older adults: comparing different data sources

Background

Multimorbidity is a global health issue, particularly for older adults in the primary care setting. An adequate portrayal of its epidemiology is essential to properly identify and understand the health care needs of this population. This study aimed to compare the differences in the prevalence of selected chronic conditions and multimorbidity, including its associated characteristics, using health survey/self-reported (SR) information only, administrative (Adm) data only and the combined (either) sources.

Methods

This was a secondary analysis of survey data from the first cycle of the Longitudinal Survey on Senior’s Health and Health Services Use linked to health-Adm data. The analytical sample consisted of 1625 community-dwelling older adults (≥65 years) recruited in the waiting rooms of primary health clinics in a selected administrative region of the province of Quebec. Seventeen chronic conditions were assessed according to two different data sources. We examined the differences in the observed prevalence of chronic conditions and multimorbidity and the agreement between data sources.

Results

The prevalence of each of the 17 chronic conditions ranged from 1.2 to 68.7% depending on the data source. The agreement between different data sources was highly variable, with kappa coefficients (κ) ranging from 0.05 to 0.73. Multimorbidity was very high in this population, with an estimated prevalence of up to 95.9%. In addition, we found that the association between sociodemographic and behavioural factors and the presence of multimorbidity varied according to the different data sources and thresholds.

Conclusions

This is the first study to simultaneously investigate chronic conditions and multimorbidity prevalence among primary care older adults using combined SR and health-Adm data. Our results call attention to (1) the possibility of underestimating cases when using a single data source and (2) the potential benefits of integrating information from different data sources to increase case identification. This is an important aspect of characterizing the health care needs of this fast-growing population.

Electronic supplementary material

The online version of this article (10.1186/s12877-019-1173-4) contains supplementary material, which is available to authorized users.

Pharmacoepidemiology in pregnancy

Taking a medication is usually a challenge for a pregnant woman as the beneficial drug effect on the mother has to be considered regarding its potential adverse effects, not only for her but also for her unborn child. As medication use is common in pregnant women, by chance or necessity, it gives the opportunity to evaluate the consequences of prenatal drug exposure in real life through pharmacoepidemiological studies. This paper provides an overview of data sources, study designs and data analysis methods that can be used for pregnancy medication safety studies. In the future, the implementation of responsive international networks may be the keystones of drug evaluation in pregnancy.

[Real-world evidence : Benefits and limitations in multiple sclerosis research]

BACKGROUND

Real-world evidence (RWE) expands the data obtained in randomized clinical trials (RCTs), which are based on both homogeneous selected patient groups and limited study durations, to long-term experiences in clinical routine. In particular, chronic diseases such as multiple sclerosis (MS) with both heterogeneous pathologies and a growing number of therapeutic options require a careful RWE-based assessment of long-term efficacy and safety parameters.

OBJECTIVE

This review presents RWE data sources applied in MS research and discusses potential quality standards.

MATERIAL AND METHODS

This article is based on the results of an expert meeting of the authors held in October 2015 and a selective literature search.

RESULTS

The RWE data sources include the reporting system of drug safety monitoring, non-interventional studies, MS-specific registries, administrative health databases, and electronic medical records. These data sources have different objectives and are subject to specific limitations with respect to the disease and therapy-relevant analytical options. The combination of different sources into an integrative approach might improve the validity of RWE in MS research; however, this objective requires the standardization of data collection and processing as well as the definition of uniform and transnational quality standards.

CONCLUSION

There is still a need for high-quality, comprehensive, and valid RWE data as these data cover additional aspects of patient care and expand the data available by complementary information. Further development of an integrative RWE approach requires cooperation at various levels with the aim of the best possible standardization and harmonization of clinical MS data.

Use of multiple data sources to identify specific drugs and other factors associated with drug and alcohol screening of fatally injured motor vehicle drivers

OBJECTIVE

Drugged driving crashes have significantly increased over the past two decades. The objectives of this study were to identify and characterize the drugs present in motor vehicle driver fatalities using multiple surveillance data sources; assess concordance of the data sources in identifying drug presence; and identify demographic and crash factors associated with drug and alcohol screening in fatally injured motor vehicle drivers.

METHODS

Fatality Analysis Reporting System (FARS), Collision Report Analysis for Safer Highways (CRASH), and mortality data sets were linked; drug screening and positive drug screens were identified. Chi-square and conditional logistic regression were performed.

RESULTS

The use of FARS data identified the majority of positive drug screens in the linked data set. Supplementation of FARS data with death certificate and CRASH data increased identification of specific drugs and drug classes detected among fatally injured motor vehicle drivers, although there was a low concordance among the data sources. Alcohol and depressants such as alprazolam had the highest frequencies among fatally injured drivers. Speeding, lack of occupant restraints, young age, commercial truck drivers, and speeding were all factors associated with increased odds of the fatally injured driver being drug or alcohol screened.

CONCLUSIONS

These findings indicate that FARS drug information data may be strengthened through increased autopsy and consultation with medical examiners to better understand and interpret decedent toxicology testing results, and that states with low driver drug testing rates should consider mandatory driver drug testing in fatal crashes.

Drug-related homicide in Europe-First review of data and sources

BACKGROUND

Drugs can act as facilitators for all types of violence, including drug-related homicide (DRH). Addressing this phenomenon is not only of importance given the severity of a homicide event and its high costs on society, but also because DRH has the potential to act as a valuable indicator or proxy of wider drug-related violent crime. However, there appears to be an important gap in terms of available European data on DRH. This study aimed to identify relevant European data sources on DRH, to assess the role of drugs in national homicide data, and to assess these sources and data in terms of monitoring potential.

METHODS

A critical review was conducted of existing national and international homicide data sources. A three-step approach was adopted, including systematic searches for data sources and literature, snowballing methods, and contacting professionals.

RESULTS

Data on DRH is systematically prepared in the Czech Republic, Denmark, Finland, Germany, Italy, the Netherlands, Norway, Slovakia, Sweden, and the United Kingdom (England, Wales, and Scotland). Available data suggests both between- and within country variability in relation to the role of drugs in homicide events. Based on these findings, four key obstacles can be identified in terms of the current ability to monitor DRH: missing data, fragmented data, comparability issues and data quality reservations.

CONCLUSION

To overcome these obstacles, there is a need for an international monitoring system that incorporates DRH. Ideally, the system should employ a single shared definition, standardised terminology, one coordinating body, and the use of multiple data sources. There are several approaches towards such a system, notably expanding the European Homicide Monitor (EHM) framework. Options should be explored to incorporate DRH into this existing and growing monitoring system.

Mortality, morbidity and health in developed societies: a review of data sources

The purpose of this paper is to review the major sources of data on mortality, morbidity and health in Europe and in other developed regions in order to examine their potential for analysing mortality and morbidity levels and trends. The review is primarily focused on routinely collected information covering a whole country. No attempt is made to draw up an inventory of sources by country; the paper deals instead with the pros and cons of each source for mortality and morbidity studies in demography. While each source considered separately can already yield useful, though partial, results, record linkage among data sources can significantly improve the analysis. Record linkage can also lead to the detection of possible causal associations that could eventually be confirmed. More generally, Big Data can reveal changing mortality and morbidity trends and patterns that could lead to preventive measures being taken rather than more costly curative ones.

[Monitoring social determinants of health]

Public health surveillance is the systematic and continuous collection, analysis, dissemination and interpretation of health-related data for planning, implementation and evaluation of public health initiatives. Apart from the health system, social determinants of health include the circumstances in which people are born, grow up, live, work and age, and they go a long way to explaining health inequalities. A surveillance system of the social determinants of health requires a comprehensive and social overview of health. This paper analyses the importance of monitoring social determinants of health and health inequalities, and describes some relevant aspects concerning the implementation of surveillance during the data collection, compilation and analysis phases, as well as dissemination of information and evaluation of the surveillance system. It is important to have indicators from sources designed for this purpose, such as continuous records or periodic surveys, explicitly describing its limitations and strengths. The results should be published periodically in a communicative format that both enhances the public's ability to understand the problems that affect them, whilst at the same time empowering the population, with the ultimate goal of guiding health-related initiatives at different levels of intervention.

Data extraction from electronic health records (EHRs) for quality measurement of the physical therapy process: comparison between EHR data and survey data

BACKGROUND

With the emergence of the electronic health records (EHRs) as a pervasive healthcare information technology, new opportunities and challenges for use of clinical data for quality measurements arise with respect to data quality, data availability and comparability. The objective of this study is to test whether data extracted from electronic health records (EHRs) was of comparable quality as survey data for the calculation of quality indicators.

METHODS

Data from surveys describing patient cases and filled out by physiotherapists in 2009-2010 were used to calculate scores on eight quality indicators (QIs) to measure the quality of physiotherapy care. In 2011, data was extracted directly from EHRs. The data collection methods were evaluated for comparability. EHR data was compared to survey data on completeness and correctness.

RESULTS

Five of the eight QIs could be extracted from the EHRs. Three were omitted from the indicator set, as they proved too difficult to be extracted from the EHRs. Another QI proved incomparable due to errors in the extraction software of some of the EHRs. Three out of four comparable QIs performed better (p < 0.001) in EHR data on completeness. EHR data also proved to be correct; the relative change in indicator scores between EHR and survey data were small (<5 %) in three out of four QIs.

CONCLUSION

Data quality of EHRs was sufficient to be used for the calculation of QIs, although comparability to survey data was problematic. Standardization is needed, not only to be able to compare different data collection methods properly, but also to compare between practices with different EHRs. EHRs have the option to administrate narrative data, but natural language processing tools are needed to quantify these text boxes. Such development, can narrow the comparability gap between scoring QIs based on EHR data and based on survey data. EHRs have the potential to provide real time feedback to professionals and quality measurements for research, but more effort is needed to create unambiguous and uniform information and to unlock written text in a standardized manner.

Estimating average alcohol consumption in the population using multiple sources: the case of Spain

Background

National estimates on per capita alcohol consumption are provided regularly by various sources and may have validity problems, so corrections are needed for monitoring and assessment purposes. Our objectives were to compare different alcohol availability estimates for Spain, to build the best estimate (actual consumption), characterize its time trend during 2001–2011, and quantify the extent to which other estimates (coverage) approximated actual consumption.

Methods

Estimates were: alcohol availability from the Spanish Tax Agency (Tax Agency availability), World Health Organization (WHO availability) and other international agencies, self-reported purchases from the Spanish Food Consumption Panel, and self-reported consumption from population surveys. Analyses included calculating: between-agency discrepancy in availability, multisource availability (correcting Tax Agency availability by underestimation of wine and cider), actual consumption (adjusting multisource availability by unrecorded alcohol consumption/purchases and alcohol losses), and coverage of selected estimates. Sensitivity analyses were undertaken. Time trends were characterized by joinpoint regression.

Results

Between-agency discrepancy in alcohol availability remained high in 2011, mainly because of wine and spirits, although some decrease was observed during the study period.

The actual consumption was 9.5 l of pure alcohol/person-year in 2011, decreasing 2.3 % annually, mainly due to wine and spirits. 2011 coverage of WHO availability, Tax Agency availability, self-reported purchases, and self-reported consumption was 99.5, 99.5, 66.3, and 28.0 %, respectively, generally with downward trends (last three estimates, especially self-reported consumption). The multisource availability overestimated actual consumption by 12.3 %, mainly due to tourism imbalance.

Conclusions

Spanish estimates of per capita alcohol consumption show considerable weaknesses. Using uncorrected estimates, especially self-reported consumption, for monitoring or other purposes is misleading. To obtain conservative estimates of alcohol-attributable disease burden or heavy drinking prevalence, self-reported consumption should be shifted upwards by more than 85 % (91 % in 2011) of Tax Agency or WHO availability figures. The weaknesses identified can probably also be found worldwide, thus much empirical work remains to be done to improve estimates of per capita alcohol consumption.

Electronic supplementary material

The online version of this article (doi:10.1186/s12963-016-0090-4) contains supplementary material, which is available to authorized users.

Bioinformatics resources for pollen

Bioinformatics for Pollen. Pollen plays a key role in crop production, and its development is the most delicate phase in reproduction. Different metabolic pathways are involved in pollen development, and changes in the level of some metabolites, as well as responses to stress, are correlated with the reduction in pollen viability, leading consequently to a decrease in the fruit production. However, studies on pollen may be hard because gamete development and fertilization are complex processes that occur during a short window of time. The rise of the so-called -omics sciences provided key strategies to promote molecular research in pollen tissues, starting from model organisms and moving to increasing number of species. An integrated multi-level approach based on investigations from genomics, transcriptomics, proteomics and metabolomics appears now feasible to clarify key molecular processes in pollen development and viability. To this aim, bioinformatics has a fundamental role for data production and analysis, contributing varied and ad hoc methodologies, endowed with different sensitivity and specificity, necessary for extracting added-value information from the large amount of molecular data achievable. Bioinformatics is also essential for data management, organization, distribution and integration in suitable resources. This is necessary to catch the biological features of the pollen tissues and to design effective approaches to identifying structural or functional properties, enabling the modeling of the major involved processes in normal or in stress conditions. In this review, we provide an overview of the available bioinformatics resources for pollen, ranging from raw data collections to complete databases or platforms, when available, which include data and/or results from -omics efforts on the male gametophyte. Perspectives in the fields will also be described.

A potential new data source for assessing the impacts of health reform: Evaluating the Gallup-Healthways Well-Being Index

BACKGROUND

Existing national health-related surveys take several months or years to become available. The Affordable Care Act will bring rapid changes to the health care system in 2014. We analyzed the Gallup-Healthways׳ Well-Being Index (WBI) in order to assess its ability to provide real-time estimates of the impact of the ACA on key health-related outcomes.

METHODS

We compared the Gallup-Healthways WBI to established surveys on demographics, health insurance, access to care, and health. Data sources were the Gallup-Healthways WBI, the Current Population Survey, the American Community Survey, the Medical Expenditure Panel Survey, the National Health Interview Survey, and the Behavioral Risk Factor Surveillance System. Demographic measures included age, race/ethnicity, education, and income. Insurance outcomes were coverage rates by type, state, and year. Access measures included having a usual source of care and experiencing cost-related delays in care. Health measures were self-reported health and history of specific diagnoses.

RESULTS

Most differences across surveys were statistically significant (p<0.05) due to large sample sizes, so our analysis focused on the absolute magnitude of differences. The Gallup-Healthways WBI post-weighted sample was similar in age, race/ethnicity, and education to other surveys, though the Gallup-Healthways WBI sample is slightly older, has fewer minorities, and is more highly educated than in other national surveys. In addition, income was more frequently missing. The Gallup-Healthways WBI produced similar national, state, and time-trend estimates on uninsured rates, but far lower rates of public coverage. Access to care and health status were similar in the Gallup-Healthways WBI and other surveys.

CONCLUSIONS

The Gallup-Healthways WBI is a valuable complement to existing data sources for health services research. The Gallup-Healthways WBI estimates for uninsured rates and access to care were similar to established national surveys and may allow for rapid estimates of the ACA׳s impact on the uninsured in 2014. Estimates of insurance type are less comparable, particularly for public coverage, which likely limits the utility of the Gallup-Healthways WBI for analyzing changes in particular types of coverage.