scholarly journals Ethnicity recording in health and social care data collections in Ireland: where and how is it measured and what is it used for?

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ailish Hannigan ◽  
Nazmy Villarroel ◽  
Maria Roura ◽  
Joseph LeMaster ◽  
Alphonse Basogomba ◽  
...  
Keyword(s):  
Data Collection ◽  
Social Care ◽  
Ethnic Origin ◽  
The European Union ◽  
Key Informants ◽  
Targeted Interventions ◽  
Health And Social Care ◽  
Legal Duty ◽  
Data Collections ◽  
Ethnicity Data

Abstract Background In the European Union (EU), discrimination based on racial and ethnic origin is prohibited under the Racial Equality Directive. Ireland is one of only three EU countries where a legal duty of equality data collection is placed on public bodies. It provides an important context in which to study ethnic equality monitoring; however no systematic mapping of where it occurs in health information systems has been carried out. The aim of this study is to identify all existing national health and social care data collections with information on ethnicity and to explore how this data has been collected and used. Methods An electronic search of a national catalogue of health and social care data collections (N = 97) was carried out to identify any collections which contained information on ethnicity. Data dictionaries were searched and key informants contacted. For each of the data collections that collected information on ethnicity, data was extracted on the ethnic categories used and how this data is collected; the completeness of ethnicity recording; and other measures related to ethnicity in the data collection. Relevant outputs for these data collections, related to ethnicity, were identified through key informants and electronic searches. Results Of the 97 data collections, 14 (14%) collected information on ethnic or cultural background. Country of birth was collected by 10 of these 14 data collections. Most used the ethnic categories in the Census and recommended that ethnicity should be self-identified and not assigned. Reported rates of identification were generally high (≥90%). Data collections which recorded ethnicity tended to be focused on potentially high-risk populations with no routine recording in primary care. There were some examples of where ethnic equality monitoring had informed targeted interventions e.g. vaccination awareness initiatives or cultural training for healthcare staff. Conclusions Despite strong policy and legal imperatives, there is limited data collection of ethnicity in health and social care data collections in Ireland. While there are some examples of where differences by ethnicity have been identified and acted upon, a more coordinated and comprehensive approach to the collection, quality and utilization of ethnicity data is needed to promote health equity.

scholarly journals A review of the inclusion of equity stratifiers for the measurement of health inequalities within health and social care data collections in Ireland

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Christopher Carroll ◽  
Katie Evans ◽  
Khalifa Elmusharaf ◽  
Patrick O’Donnell ◽  
Anne Dee ◽  
...  
Keyword(s):  
Data Collection ◽  
Health Inequalities ◽  
Social Relations ◽  
Social Care ◽  
Data Dictionary ◽  
Regional Data ◽  
National Surveys ◽  
Concept Of Health ◽  
Health And Social Care ◽  
Data Collections

Abstract Background Health equity differs from the concept of health inequality by taking into consideration the fairness of an inequality. Inequities may be culturally specific, based on social relations within a society. Measuring these inequities often requires grouping individuals. These groupings can be termed equity stratifiers. The most common groupings affected by health inequalities are summarised by the acronym PROGRESS (Place of residence, Race, Occupation, Gender, Religion, Education, Socioeconomic status, Social capital). The aim of this review was to examine the use of equity stratifiers in routinely collected health and social care data collections in Ireland. Methods One hundred and twenty data collections were identified from the Health Information and Quality Authority (HIQA) document, “Catalogue of national health and social care data collections: Version 3.0”. Managers of all the data collections included were contacted and a data dictionary was requested where one was not available via the HIQA website. Each of the data dictionaries available was reviewed to identify the equity stratifiers recorded. Results Eighty-three of the 120 data collections were considered eligible to be included for review. Twenty-nine data dictionaries were made available. There was neither a data dictionary available nor a response to our query from data collection managers for twenty-three (27.7%) of the data collections eligible for inclusion. Data dictionaries were from national data collections, regional data collections and national surveys. All data dictionaries contained at least one of the PROGRESS equity stratifiers. National surveys included more equity stratifiers compared with national and regional data collections. Definitions used for recording social groups for the stratifiers examined lacked consistency. Conclusions While there has been much discussion on tackling health inequalities in Ireland in recent years, health and social care data collections do not always record the social groupings that are most commonly affected. In order to address this, it is necessary to consider which equity stratifiers should be used for the Irish population and, subsequently, for agreed stratifiers to be incorporated into routine health data collection. These are lessons that can be shared internationally as other countries begin to address deficits in their use of equity stratifiers.

scholarly journals A review of the inclusion of equity stratifiers for the measurement of health inequalities within health and social care data collections in Ireland

2020 ◽  
Author(s):  
Christopher Carroll ◽  
Katie Evans ◽  
Khalifa Elmusharaf ◽  
Patrick O'Donnell ◽  
Anne Dee ◽  
...  
Keyword(s):  
Data Collection ◽  
Health Inequalities ◽  
Social Relations ◽  
Social Care ◽  
Data Dictionary ◽  
Regional Data ◽  
National Surveys ◽  
Concept Of Health ◽  
Health And Social Care ◽  
Data Collections

Abstract Background Health equity differs from the concept of health inequality by taking into consideration the fairness of an inequality. Inequities may be culturally specific, based on social relations within a society. Measuring these inequities often requires grouping individuals. These groupings can be termed equity stratifiers. The most common groupings affected by health inequalities are summarised by the acronym PROGRESS. The aim of this review was to examine the use of equity stratifiers in routinely collected health and social care data collections in Ireland. Methods One hundred and twenty data collections were identified from the Health Information and Quality Authority (HIQA) document, “Catalogue of national health and social care data collections: Version 3.0”. Managers of all the data collections included were contacted and a data dictionary was requested where one was not available via the HIQA website. Each of the data dictionaries available was reviewed to identify the equity stratifiers recorded. Results Eighty-three of the 120 data collections were considered eligible to be included for review. Twenty-nine data dictionaries were made available. There was neither a data dictionary available nor a response to our query from data collection managers for twenty-three (27.7%) of the data collections eligible for inclusion. Data dictionaries were from national data collections, regional data collections and national surveys. All data dictionaries contained at least one of the PROGRESS equity stratifiers. National surveys included more equity stratifiers compared with national and regional data collections. There was a lack of consistency in the definitions used for recording social groups for the stratifiers examined. Conclusions While there has been much discussion on tackling health inequalities in Ireland in recent years, health and social care data collections do not always record the social groupings that are most commonly affected. In order to address this, it is necessary to consider which equity stratifiers should be used for the Irish population and, subsequently, for agreed standardised statifiers to be incorporated into routine health data collection. These are lessons that can be shared internationally as other countries begin to address deficits in the use of equity stratifiers.

scholarly journals Emotional demands, compassion and mental health in social workers

2020 ◽  
Vol 70 (2) ◽  
pp. 89-94
Author(s):  
G Kinman ◽  
L Grant
Keyword(s):  
Mental Health ◽  
Social Workers ◽  
Compassion Fatigue ◽  
Social Care ◽  
Compassion Satisfaction ◽  
Well Being ◽  
Targeted Interventions ◽  
Self Compassion ◽  
Health And Social Care ◽  
Emotional Demands

Abstract Background Compassion, described as the act of providing care based on empathy, dignity and respect, is intrinsic to effective health and social care. Although delivering compassionate care has wide-ranging benefits for service users, more insight is needed into its effects on health and social care professionals. The emotional demands of ‘helping’ work can engender compassion fatigue that may impair well-being, whereas compassion satisfaction and feelings of compassion towards the self could be protective. Aims To examine the effects (direct and indirect) of compassion satisfaction, compassion fatigue and self-compassion on mental health in a cohort of social workers. Methods We used validated scales to measure emotional demands, compassion satisfaction and fatigue, and self-compassion and the General Health Questionnaire-12 to assess mental health. We tested the main and moderating effects of emotional demands and the three facets of compassion using hierarchical regression analysis. Results The study sample comprised 306 social workers (79% female). Participants who reported higher levels of compassion satisfaction and self-compassion tended to report better mental health, whereas compassion fatigue was a significant risk factor for well-being. The models explained 44–53% of the variance in mental health symptoms. We found some evidence that compassion satisfaction and self-compassion buffer the negative effects of emotional demand on mental health, contributing 2 and 3%, respectively, to the incremental variance. Conclusions Our findings suggest that evidence-based interventions are needed to reduce compassion fatigue and enhance compassion satisfaction and self-compassion in social care work. We consider ways to accomplish this using targeted interventions.

scholarly journals Best Paper Selection

2020 ◽  
Vol 29 (01) ◽  
pp. 091-092
Keyword(s):  
Respiratory Diseases ◽  
Social Care ◽  
Healthcare Providers ◽  
Health Department ◽  
Mixed Methods Study ◽  
Local Health ◽  
Health Records ◽  
Health And Social Care ◽  
Perceived Workload ◽  
Data Collections

Hosseini M , Faiola A, Jones J, Vreeman DJ, Wu H, Dixon BE. Impact of document consolidation on healthcare providers’ perceived workload and information reconciliation tasks: a mixed methods study. J Am Med Inform Assoc 2019;26(2):134-42 https://academic.oup.com/jamia/article/26/2/134/5253582 Yeung T. Local health department adoption of electronic health records and health information exchanges and its impact on population health. Int J Med Inform 2019;128:1-6 https://www.sciencedirect.com/science/article/abs/pii/S1386505618310426?via%3Dihub Souza J, Santos JV, Canedo VB, Betanzos A, Alves D, Freitas A. Importance of coding co-morbidities for APR-DRG assignment: Focus on cardiovascular and respiratory diseases. Health Inf Manag 2020;49(1):47-57 https://journals.sagepub.com/doi/full/10.1177/1833358319840575?url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&rfr_dat=cr_pub++0pubmed Hannigan A, Villarroel N, Roura M, LeMaster J, Basogomba A, Bradley C, MacFarlane A. Ethnicity recording in health and social care data collections in Ireland: where and how is it measured and what is it used for?. Int J Equity Health 2019;19(1):2 https://equityhealthj.biomedcentral.com/articles/10.1186/s12939-019-1107-y

scholarly journals The Development of the Health and Social Care Sector in the Regions of the Czech Republic in Comparison with other EU Countries

2019 ◽  
Vol 8 (6) ◽  
pp. 170 ◽  
Author(s):  
Erika Urbánková
Keyword(s):  
Czech Republic ◽  
Healthcare Workers ◽  
Social Care ◽  
Secondary Data ◽  
The European Union ◽  
The Czech Republic ◽  
Health And Social Care ◽  
The Given ◽  
Nurses And Midwives ◽  
The Eu

In this paper, the quantitative status of employees in the Health and Social Care sector in the Czech Republic is assessed, and the future development of the sector is predicted both for the Czech Republic as a whole, and for individual regions according to the NUTS3 classification. At present, labor market prognoses are created using the ROA-CERGE model, which includes the main professions in the Health and Social Care sector. This article expands the predictions by adding the regional level and using extrapolation of time series, and it identifies the regions important for the given sector and the labor force. The position of the Czech Republic with regard to selected professions in comparison with other countries of the European Union, i.e., its qualitative status, is also assessed in the paper. The following professions are assessed: general nurses and midwives (both with and without a specialization), physicians, and professional assistants. Healthcare workers do not manifest geographical mobility between regions and work primarily in the region where they live. Since the Czech Republic’s accession to the EU, staff working in key professions have been able to work under comparable conditions in any of the member states. The workforce flow depends, among other things, on its qualitative representation in the given country. To find groups of European countries with similar characteristics of quantitative coverage in selected professions in the Health and Social Care sector, cluster analysis is used to identify homogeneous clusters of countries, as of 2016. Secondary data was obtained from the Czech Statistical Office (CZSO) and the Information System (ISA+) of the National Institute of Education (NIE).

scholarly journals Using administrative health data for palliative and end of life care research in Ireland: potential and challenges

2021 ◽  
Vol 4 ◽  
pp. 17
Author(s):  
Maria Kelly ◽  
Katie M O'Brien ◽  
Ailish Hannigan
Keyword(s):  
Palliative Care ◽  
Health System ◽  
End Of Life ◽  
Data Protection ◽  
End Of Life Care ◽  
Social Care ◽  
Data Access ◽  
Life Care ◽  
Health And Social Care ◽  
Data Collections

Background: This study aims to examine the potential of currently available administrative health and social care data for palliative and end-of-life care (PEoLC) research in Ireland. Objectives include to i) identify data sources for PEoLC research ii) describe the challenges and opportunities of using these and iii) evaluate the impact of recent health system reforms and changes to data protection laws. Methods: The 2017 Health Information and Quality Authority catalogue of health and social care datasets was cross-referenced with a recognised list of diseases with associated palliative care needs. Criteria to assess the datasets included population coverage, data collected, data dictionary and data model availability, and mechanisms for data access. Results: Nine datasets with potential for PEoLC research were identified, including death certificate data, hospital episode data, pharmacy claims data,  one national survey, four disease registries (cancer, cystic fibrosis, motor neurone and interstitial lung disease) and a national renal transplant registry.  The ad hoc development of the health system in Ireland has resulted in i) a fragmented information infrastructure resulting in gaps in data collections particularly in the primary and community care sector where much palliative care is delivered, ii) ill-defined data governance arrangements across service providers, many of whom are not part of the publically funded health service and iii) systemic and temporal issues that affect data quality. Initiatives to improve data collections include introduction of i) patient unique identifiers, ii) health entity identifiers and iii) integration of the Eircode postcodes. Recently enacted general data protection and health research regulations will clarify legal and ethical requirements for data use. Conclusions: Ongoing reform initiatives and recent changes to data privacy laws combined with detailed knowledge of the datasets, appropriate permissions, and good study design will facilitate future use of administrative health and social care data for PEoLC research in Ireland.

scholarly journals Electronic data management for vaccine trials in low resource settings: Upgrades, scalability and impact of ODK

2021 ◽  
Author(s):  
Michael Marks ◽  
Sham Lal ◽  
Hannah Brindle ◽  
Pierre-Stéphane Gsell ◽  
Matthew MacGregor ◽  
...  
Keyword(s):  
Data Collection ◽  
Clinical Research ◽  
Data Management ◽  
Open Source ◽  
Social Care ◽  
World Health ◽  
Electronic Data ◽  
Diverse Range ◽  
Department Of Health ◽  
Health And Social Care

ABSTRACTBackgroundODK provides software and standards that are popular solutions for off-grid electronic data collection and has substantial code overlap and interoperability with a number of related software products including CommCare, Enketo, Ona, SurveyCTO and KoBoToolbox. In combination with the use of statistical analysis software such as R, these tools provide fully open-source options for off-grid use in public health data collection, management, analysis and reporting. During the 2018-2020 Ebola epidemic in the North Kivu & Ituri regions of Democratic Republic of Congo, we leveraged ODK and other tools to support the DRC Ministère de la Santé RDC and World Health Organization in their efforts to administer an experimental vaccine (VSV-Zebov-GP) as part of their strategy to control the transmission of infection.MethodNew functions were developed to facilitate the use of ODK, Enketo and R in large scale data collection, aggregation, monitoring and near-real-time analysis during clinical research in health emergencies. We present open-source enhancements to ODK that include a built-in audit-trail, a framework and companion app for biometric registration of ISO/IEC 19794-2 fingerprint templates, enhanced performance features, better scalability for studies featuring millions of data form submissions, increased options for parallelization of research projects, and pipelines for automated management and analysis of data. We also developed novel encryption protocols for enhanced web-form security in Enketo.ResultsAgainst the backdrop of a complex and challenging epidemic response, our enhanced platform of open tools was used to collect and manage data from more than 280,000 eligible study participants who received VSV-Zebov-GP under informed consent. These data were used to determine whether the VSV-Zebov-GP was safe and effective and to guide daily field operations.ConclusionsWe present open-source developments that make electronic data management during clinical research and health emergencies more viable and robust. These developments will also enhance and expand the functionality of a diverse range of data collection platforms (Ona, KoBoToolbox etc.) that are based on the ODK software and standards.FundingThis research is funded by the Department of Health and Social Care using UK Aid funding and is managed by the NIHR (PR-OD-1017-20001). The views expressed in this publication are those of the authors and not necessarily those of the Department of Health and Social Care.

scholarly journals The Brexit Religion and the Holy Grail of the NHS

2021 ◽  
pp. 1-14
Author(s):  
Steven Kettell ◽  
Peter Kerr
Keyword(s):  
European Union ◽  
Social Care ◽  
The European Union ◽  
Unique Role ◽  
Eu Membership ◽  
The People ◽  
Health And Social Care ◽  
Global Affairs ◽  
British People

The role of populism in mobilising support for Britain’s withdrawal from the European Union has been well noted. But a key feature of populist politics – the use of religious discourses – has been largely overlooked. This article addresses this gap by exploring the way in which the Leave campaign framed Brexit in quasi-religious and mythological terms. Three core themes are identified: (1) that the British ‘people’ had a unique role to play in global affairs; (2) that the sanctity of this special status was threatened by elites and migrants; (3) that the referendum gave voice to the sacred ‘will of the people’. These narratives were underpinned by a strategic discourse centring on claims that EU membership was exacerbating a crisis in health and social care. This myth was encapsulated by the so-called ‘Brexit bus’ campaign.

scholarly journals An integrated marine data collection for the German Bight – Part 2: Tides, salinity, and waves (1996–2015)

2021 ◽  
Vol 13 (6) ◽  
pp. 2573-2594
Author(s):  
Robert Hagen ◽  
Andreas Plüß ◽  
Romina Ihde ◽  
Janina Freund ◽  
Norman Dreier ◽  
...  
Keyword(s):  
Data Collection ◽  
Current Velocity ◽  
German Bight ◽  
Natural Habitat ◽  
Tidal Range ◽  
The European Union ◽  
Coastal Structures ◽  
Marine Data ◽  
Set Up ◽  
Data Collections

Abstract. Marine spatial planning requires reliable data for, e.g., the design of coastal structures, research, or sea level rise adaptation. This task is particularly ambiguous in the German Bight (North Sea, Europe) because a compromise must be found between economic interests and biodiversity since the environmental status is monitored closely by the European Union. For this reason, we have set up an open-access, integrated marine data collection for the period from 1996 to 2015. It provides bathymetry, surface sediments, tidal dynamics, salinity, and waves for the German Bight and is of interest to stakeholders in science, government, and the economy. This part of a two-part publication presents data from numerical hindcast simulations for sea surface elevation, depth-averaged current velocity, bottom shear stress, depth-averaged salinity, wave parameters, and wave spectra. As an improvement to existing data collections, our data represent the variability in the bathymetry by using annually updated model topographies. Moreover, we provide data at a high temporal and spatial resolution (Hagen et al., 2020b); i.e., numerical model results are gridded to 1000 m at 20 min intervals (https://doi.org/10.48437/02.2020.K2.7000.0004). Tidal characteristic values (Hagen et al., 2020a), such as tidal range or ebb current velocity, are computed based on numerical modeling results (https://doi.org/10.48437/02.2020.K2.7000.0003). Therefore, this integrated marine data collection supports the work of coastal stakeholders and scientists, which ranges from developing detailed coastal models to handling complex natural-habitat problems or designing coastal structures.

scholarly journals The nature of gambling-related harm for adults with health and social care needs: an exploratory study of the views of key informants

2019 ◽  
Vol 20 ◽  
Author(s):  
Stephanie Bramley ◽  
Caroline Norrie ◽  
Jill Manthorpe
Keyword(s):  
Public Health ◽  
Professional Development ◽  
Help Seeking ◽  
Social Care ◽  
Public Health Problem ◽  
Gambling Problem ◽  
Care Needs ◽  
Key Informants ◽  
Health And Social Care ◽  
Related Harm

Abstract Aim: To explore the views of professionals working within health, care and other agencies about harmful gambling among adults with health and social care needs. Background: Gambling is increasingly seen as a public health rather than an individual problem. Opportunities to gamble have grown in England in the last decade since the liberalisation of the gambling industry meaning that gambling is widely available, accessible and advertised within society. An estimated two million people in the UK are at risk of developing a gambling problem, some of whom may be adults with health and social care needs. Methods: Twenty-three key informants from primary care, social care services and third sector organisations in England were interviewed about their understanding of the risks to adults with health and social care needs from gambling participation. Findings: Thematic analysis revealed four themes: (1) gambling-related harm as a public health problem; (2) identification of groups of adults with health and social care needs who may be vulnerable to gambling-related harm; (3) factors potentially impeding the identification of gambling-related harm among adults with health and social care needs and subsequent help-seeking behaviour and (4) calls for professional development activities. Informants reported a perceived lack of awareness of gambling-related harm and a lack of a clear pathway or guidance which they could follow when supporting individuals experiencing gambling-related harm. Interviewees called for professional development activities to improve their knowledge and expertise in this area.

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