P71 Unlocking data to inform public health policy and practice: decision-maker perspectives on the use of cross-sectoral data as part of a whole-systems approach

Tweed, Emily J; Čimová, Kristína; Craig, Peter; Allik, Mirjam; Brown, Denise; Campbell, Mhairi; Henderson, David K.; Mayor, Charlie; Meier, Petra; Watson, Nicholas

doi:10.1136/jech-2022-ssmabstracts.163

Cited by 2 publications

(1 citation statement)

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“…Finally, engaging decision makers to understand their perspectives on the value of cross-sectoral data linkage for informing policy and practice responses within inclusion health [ 84 ], and sharing this information with data custodians, can help close the loop on data sharing hesitancy by focussing on real-world, cross-sectoral benefits.…”

Section: Articlementioning

confidence: 99%

Advancing cross-sectoral data linkage to understand and address the health impacts of social exclusion: Challenges and potential solutions

Pearce

Borschmann

Young

et al. 2023

IJPDS

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The use of administrative health data for research, monitoring, and quality improvement has proliferated in recent decades, leading to improvements in health across many disease areas and across the life course. However, not all populations are equally visible in administrative health data, and those that are less visible may be excluded from the benefits of associated research. Socially excluded populations -- including the homeless, people with substance dependence, people involved in sex work, migrants or asylum seekers, and people with a history of incarceration -- are typically characterised by health inequity. Yet people who experience social exclusion are often invisible within routinely collected administrative health data because information on their markers of social exclusion are not routinely recorded by healthcare providers. These circumstances make it difficult to understand the often complex health needs of socially excluded populations, evaluate and improve the quality of health services that they interact with, provide more accessible and appropriate health services, and develop effective and integrated responses to reduce health inequity. In this commentary we discuss how linking data from multiple sectors with administrative health data, often called cross-sectoral data linkage, is a key method for systematically identifying socially excluded populations in administrative health data and addressing other issues related to data quality and representativeness. We discuss how cross-sectoral data linkage can improve the representation of socially excluded populations in research, monitoring, and quality improvement initiatives, which can in turn inform coordinated responses across multiple sectors of service delivery. Finally, we articulate key challenges and potential solutions for advancing the use of cross-sectoral data linkage to improve the health of socially excluded populations, using international examples.

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Section: Articlementioning

confidence: 99%

Advancing cross-sectoral data linkage to understand and address the health impacts of social exclusion: Challenges and potential solutions

Pearce

Borschmann

Young

et al. 2023

IJPDS

View full text Add to dashboard Cite

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Contraceptive use and pregnancy planning in Britain during the first year of the COVID-19 pandemic: findings from a large, quasi-representative survey (Natsal-COVID)

Baxter

Geary

Dema

et al. 2022

Preprint

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Background Reproductive health services were significantly disrupted during the COVID-19 pandemic in Britain. We investigated contraception-related health inequalities in the first year of the pandemic. Methods Natsal-COVID Wave 2 surveyed 6,658 adults aged 18-59 between March-April 2021, using quotas and weighting to achieve quasi-representativeness. Our analysis included sexually active participants aged 18-44, described as female at birth. We analysed contraception use and switching, contraceptive service access, and pregnancy plannedness in the year from March 2020. Findings Amongst all participants (n=1,488), 14.3% (12.5%-16.3%) reported switching or stopping contraception due to the pandemic. Of participants at risk of unplanned pregnancy (n=1,169), 54.1% (51.0%-57.1%) reported routinely using effective contraception in the past year. 3.2% (2.0%-5.1%) of those using effective methods pre-pandemic switched to less effective methods, while 3.8% (2.5%-5.9%) stopped. Stopping/switching was more likely amongst participants of younger age, non-white ethnicity, and lower social grade. 29.3% of at-risk participants (26.9%-31.8%) reported trying to access contraceptive services; of whom 16.4% (13.0%-20.4%) reported their needs went unmet. Unmet need was associated with younger age, diverse sexual identities and anxiety symptoms. Of 199 pregnancies, 6.6% (3.9%-11.1%) were scored as 'unplanned'; less planning was associated with younger age, lower social grade and unemployment. Interpretation Although many participants reported accessing contraceptive services during the pandemic, one-in-six of these reported an unmet need. Inequalities in unmet need and risk of unplanned pregnancy - related to age, ethnicity, social disadvantage and mental health - potentially exacerbated existing reproductive health inequalities. These should be addressed in the post-pandemic period and beyond.

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P71 Unlocking data to inform public health policy and practice: decision-maker perspectives on the use of cross-sectoral data as part of a whole-systems approach

Cited by 2 publications

References 0 publications

Advancing cross-sectoral data linkage to understand and address the health impacts of social exclusion: Challenges and potential solutions

Advancing cross-sectoral data linkage to understand and address the health impacts of social exclusion: Challenges and potential solutions

Contraceptive use and pregnancy planning in Britain during the first year of the COVID-19 pandemic: findings from a large, quasi-representative survey (Natsal-COVID)

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