Dataset Information

Navigating the landscape of non-health administrative data in Scotland: A researcher's narrative.

ABSTRACT: Background: There is growing interest in using routinely collected administrative data for research purposes. Following the success of research using routinely collected healthcare data, attention has turned to leveraging routinely-collected non-health data derived from systems providing other services to the population (e.g., education, social security) to conduct research on important social problems. In Scotland, specialised organisations have been set up to support researchers in their pursuit of using and linking administrative data. The landscape of administrative data in Scotland, however, is complex and changeable, and is often difficult for researchers to navigate. Purpose: This paper provides a researcher's narrative of the steps required to gain the various approvals necessary to access and link non-health administrative data for research in social and cognitive epidemiology. Findings: This paper highlights the problems, particularly regarding the length and complexity of the process, which researchers typically face, and which result in a challenging research environment. The causes of these problems are discussed, as are potential solutions. Conclusions: Whereas the potential of non-health administrative data is great, more work and investment are needed on the part of all those concerned - from researchers to data controllers - in order to realise this potential.

SUBMITTER: Iveson MH

PROVIDER: S-EPMC6886011 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Navigating the landscape of non-health administrative data in Scotland: A researcher's narrative.

Iveson Matthew H MH Deary Ian J IJ

Wellcome open research 20191021

<b>Background:</b> There is growing interest in using routinely collected administrative data for research purposes. Following the success of research using routinely collected healthcare data, attention has turned to leveraging routinely-collected non-health data derived from systems providing other services to the population (e.g., education, social security) to conduct research on important social problems. In Scotland, specialised organisations have been set up to support researchers in thei ...[more]

PMID: 31824989

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Project description:BackgroundThe availability of robust evidence to inform effective public health decision making is becoming increasingly important, particularly in a time of competing health demands and limited resources. Comparative Risk Assessments (CRA) are useful in this regard as they quantify the contribution of modifiable exposures to the disease burden in a population. The aim of this study is to assess the contribution of a range of modifiable exposures to the burden of disease due to stroke, an important public health problem in Scotland.MethodsWe used individual-level response data from eight waves (1995-2012) of the Scottish Health Survey linked to acute hospital discharge records from the Scottish Morbidity Record 01 (SMR01) and cause of death records from the death register. Stroke was defined using the International Classification of Disease (ICD) 9 codes 430-431, 433-4 and 436; and the ICD10 codes I60-61 and I63-64 and stroke incidence was defined as a composite of an individual's first hospitalisation or death from stroke. A literature review identified exposures causally linked to stroke. Exposures were mapped to the layers of the Dahlgren & Whitehead model of the determinants of health and Population Attributable Fractions were calculated for each exposure deemed a significant causal risk of stroke from a Cox Proportional Hazards Regression model. Population Attributable Fractions were not summed as they may add to more than 100% due to the possibility of a person being exposed to more than one exposure simultaneously.ResultsOverall, the results suggest that socioeconomic factors explain the largest proportion of incident stroke hospitalisations and deaths, after adjustment for confounding. After DAG adjustment, low education explained 38.8% (95% Confidence Interval 26.0% to 49.4%, area deprivation (as measured by the Scottish Index of Multiple Deprivation) 34.9% (95% CI 26.4 to 42.4%), occupational social class differences 30.3% (95% CI 19.4% to 39.8%), high systolic blood pressure 29.6% (95% CI 20.6% to 37.6%), smoking 25.6% (95% CI 17.9% to 32.6%) and area deprivation (as measured by the Carstairs area deprivation Index) 23.5% (95% CI 14.4% to 31.7%), of incident strokes in Scotland after adjustment.ConclusionThis study provides evidence for prioritising interventions that tackle socioeconomic inequalities as a means of achieving the greatest reduction in avoidable strokes in Scotland. Future work to disentangle the proportion of the effect of deprivation transmitted through intermediate mediators on the pathway between socioeconomic inequalities and stroke may offer additional opportunities to reduce the incidence of stroke in Scotland.

Dataset Information

Navigating the landscape of non-health administrative data in Scotland: A researcher's narrative.

Publications

Navigating the landscape of non-health administrative data in Scotland: A researcher's narrative.

Similar Datasets

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