IPH Submission to the Central Statistics Office (ROI)

The Institute of Public Health in Ireland (IPH) is an all-island body which aims to improve health in Ireland, by working to combat health inequalities and influence public policies in favour of health. IPH promotes co-operation in research, training, information and policy in order to contribute to policies which tackle inequalities in health. Over the past ten years IPH has worked closely with the Department of Health and Children and the Department of Health, Social Services and Public Safety in Northern Ireland to build capacity for public health across the island of Ireland. Key pointsIPH welcomes the opportunity to contribute to the questionnaire content for the 2011 Census of Population. We are particularly interested in how information collected by the Census can contribute to improved health and in this regard are broadly supportive of the questions addressing health in the current Census questionnaire. We feel that an additional question that assesses self-perceived health would be extremely useful as, while this is a subjective assessment, it has been shown to correlate well with actual health status and use of health services.

IPH response to the HIQA consultation on the National Demographic Dataset and Guidance for use in health and social care settings in Ireland

The remit of the Institute of Public Health in Ireland (IPH) is to promote cooperation for public health between Northern Ireland and the Republic of Ireland in the areas of research and information, capacity building and policy advice. Our approach is to support Departments of Health and their agencies in both jurisdictions, and maximise the benefits of all-island cooperation to achieve practical benefits for people in Northern Ireland and the Republic of Ireland. IPH have previously responded to consultations to the Department of Health’s Discussion Paper on the Proposed Health Information Bill (June 2008), the Health Information and Quality Authority on their Corporate Plan (Oct 2007), and the Road Safety Authority of Ireland Road Safety Strategy (Jul 2012). IPH supports the development of a national standard demographic dataset for use within the health and social care services. Provided necessary safeguards are put in place (such as ethics and data protection) and the purpose of collecting the information is fully explained to subjects, mandatory provision of a minimum demographic dataset is usually the best way to achieve the necessary coverage and data quality. Demographic information is needed in several forms to support the public health function: Detailed aggregated information for comparison to population counts in order to assess equity of access to healthcare as well as examining population patterns and trends in morbidity and mortality Accurate demographic information for the surveillance of infectious disease outbreaks, monitoring vaccination programmes, setting priorities for public health interventions Linked to other data outside of health and social care such as population data, survey data, and longitudinal studies for research and analysis purposes.   Identify and address public health issues to tackle health inequalities, and to monitor the success of such efforts to tackle them.

Statistics on Smoking Cessation Services in Northern Ireland: 08/09: Pre Release Access List

2008/09 Pre-Release Access List

Population genetic structure and demography analysis in palinurus elephas populations from atlantic and mediterranean waters

Report for the scientific sojourn at the University of Reading, United Kingdom, from January until May 2008. The main objectives have been firstly to infer population structure and parameters in demographic models using a total of 13 microsatellite loci for genotyping approximately 30 individuals per population in 10 Palinurus elephas populations both from Mediterranean and Atlantic waters. Secondly, developing statistical methods to identify discrepant loci, possibly under selection and implement those methods using the R software environment. It is important to consider that the calculation of the probability distribution of the demographic and mutational parameters for a full genetic data set is numerically difficult for complex demographic history (Stephens 2003). The Approximate Bayesian Computation (ABC), based on summary statistics to infer posterior distributions of variable parameters without explicit likelihood calculations, can surmount this difficulty. This would allow to gather information on different demographic prior values (i.e. effective population sizes, migration rate, microsatellite mutation rate, mutational processes) and assay the sensitivity of inferences to demographic priors by assuming different priors.

Annual Statistics on Smoking Cessation Services in NI

Annual Reports and Deprivation Maps

Statistics of Scientific Procedures on Live Animals NI 2005 (PDF 264 KB)

Statistics of Scientific Procedures on Living Animals NI 2005

Hospital Statistics 1 April 2005 - 31 March 2006

Volume 1: Programme of Care

Prevalence and intensity of infections of Ascaris lumbricoides and Trichuris trichiura and associated socio-demographic variables in four rural Honduran communities

Between January and March 1998, a cross-sectional survey was carried out in four rural communities in Honduras, Central America. We examined the prevalence and intensity of Ascaris lumbricoides and Trichuris trichiura infections among 240 fecal specimens, and the association between selected socio-demographic variables and infection for 62 households. The overall prevalence of A. lumbricoides and T. trichiura was 45% (95% CI 39.0-51.9) and 38% (95% CI 31.8-44.4) respectively. The most intense infections for Ascaris and Trichuris were found in children aged 2-12 years old. By univariate analysis variables associated with infections of A. lumbricoides were: number of children 2-5 years old (p=0.001), level of formal education of respondents (p=0.01), reported site of defecation of children in households (p=0.02), households with children who had a recent history of diarrhea (p=0.002), and the location of households (p=0.03). Variables associated with both A. lumbricoides and T. trichiura infection included: number of children 6-14 years old (p=0.01, p=0.04, respectively), ownership of a latrine (p=0.04, p=0.03, respectively) and coinfection with either helminth (p=0.001, p=0.001, respectively). By multivariate analysis the number of children 2-5 years living in the household, (p=0.01, odds ratio (OR)=22.2), children with a recent history of diarrhea (p=0.0, OR=39.8), and infection of household members with T. trichiura (p=0.02, OR=16.0) were associated with A. lumbricoides infection. The number of children 6-14 years old in the household was associated with both A. lumbricoides and T. trichiura infection (p=0.04, p=0.01, OR=19.2, OR=5.2, respectively).