scholarly journals Methodology of Natsal-COVID Wave 1: a large, quasi-representative survey with qualitative follow-up measuring the impact of COVID-19 on sexual and reproductive health in Britain

2021 ◽  
Vol 6 ◽  
pp. 209
Author(s):  
Emily Dema ◽  
Andrew J Copas ◽  
Soazig Clifton ◽  
Anne Conolly ◽  
Margaret Blake ◽  
...  
Keyword(s):  
General Population ◽  
Reproductive Health ◽  
Sexual Behaviour ◽  
Sexual And Reproductive Health ◽  
Service Use ◽  
Population Data ◽  
Population Level ◽  
Level Data ◽  
The Impact

Background: Britain’s National Surveys of Sexual Attitudes and Lifestyles (Natsal) have been undertaken decennially since 1990 and provide a key data source underpinning sexual and reproductive health (SRH) policy. The COVID-19 pandemic disrupted many aspects of sexual lifestyles, triggering an urgent need for population-level data on sexual behaviour, relationships, and service use at a time when gold-standard in-person, household-based surveys with probability sampling were not feasible. We designed the Natsal-COVID study to understand the impact of COVID-19 on the nation’s SRH and assessed the sample representativeness. Methods: Natsal-COVID Wave 1 data collection was conducted four months (29/7-10/8/2020) after the announcement of Britain’s first national lockdown (23/03/2020). This was an online web-panel survey administered by survey research company, Ipsos MORI. Eligible participants were resident in Britain, aged 18-59 years, and the sample included a boost of those aged 18-29. Questions covered participants’ sexual behaviour, relationships, and SRH service use. Quotas and weighting were used to achieve a quasi-representative sample of the British general population. Participants meeting criteria of interest and agreeing to recontact were selected for qualitative follow-up interviews. Comparisons were made with contemporaneous national probability surveys and Natsal-3 (2010-12) to understand bias. Results: 6,654 participants completed the survey and 45 completed follow-up interviews. The weighted Natsal-COVID sample was similar to the general population in terms of gender, age, ethnicity, rurality, and, among sexually-active participants, numbers of sexual partners in the past year. However, the sample was more educated, contained more sexually-inexperienced people, and included more people in poorer health. Conclusions: Natsal-COVID Wave 1 rapidly collected quasi-representative population data to enable evaluation of the early population-level impact of COVID-19 and lockdown measures on SRH in Britain and inform policy. Although sampling was less representative than the decennial Natsals, Natsal-COVID will complement national surveillance data and Natsal-4 (planned for 2022).

scholarly journals Understanding and responding to COVID-19 in Wales: protocol for a privacy-protecting data platform for enhanced epidemiology and evaluation of interventions

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e043010
Author(s):  
Jane Lyons ◽  
Ashley Akbari ◽  
Fatemeh Torabi ◽  
Gareth I Davies ◽  
Laura North ◽  
...  
Keyword(s):  
Policy Development ◽  
Healthcare Utilisation ◽  
Population Data ◽  
Population Level ◽  
Risk Groups ◽  
Service Utilisation ◽  
Natural Experiments ◽  
Spread Of Infection ◽  
The Impact

IntroductionThe emergence of the novel respiratory SARS-CoV-2 and subsequent COVID-19 pandemic have required rapid assimilation of population-level data to understand and control the spread of infection in the general and vulnerable populations. Rapid analyses are needed to inform policy development and target interventions to at-risk groups to prevent serious health outcomes. We aim to provide an accessible research platform to determine demographic, socioeconomic and clinical risk factors for infection, morbidity and mortality of COVID-19, to measure the impact of COVID-19 on healthcare utilisation and long-term health, and to enable the evaluation of natural experiments of policy interventions.Methods and analysisTwo privacy-protecting population-level cohorts have been created and derived from multisourced demographic and healthcare data. The C20 cohort consists of 3.2 million people in Wales on the 1 January 2020 with follow-up until 31 May 2020. The complete cohort dataset will be updated monthly with some individual datasets available daily. The C16 cohort consists of 3 million people in Wales on the 1 January 2016 with follow-up to 31 December 2019. C16 is designed as a counterfactual cohort to provide contextual comparative population data on disease, health service utilisation and mortality. Study outcomes will: (a) characterise the epidemiology of COVID-19, (b) assess socioeconomic and demographic influences on infection and outcomes, (c) measure the impact of COVID-19 on short -term and longer-term population outcomes and (d) undertake studies on the transmission and spatial spread of infection.Ethics and disseminationThe Secure Anonymised Information Linkage-independent Information Governance Review Panel has approved this study. The study findings will be presented to policy groups, public meetings, national and international conferences, and published in peer-reviewed journals.

scholarly journals Measuring the impact of COVID-19 on sexual and reproductive health in the UK: web-panel surveys with qualitative follow-up

The Lancet ◽  
2021 ◽  
Vol 398 ◽  
pp. S46
Author(s):  
Nigel Field ◽  
Emily Dema ◽  
Andrew J Copas ◽  
Soazig Clifton ◽  
Anne Conolly ◽  
...  
Keyword(s):  
Reproductive Health ◽  
Sexual And Reproductive Health ◽  
Panel Surveys ◽  
The Uk ◽  
The Impact

scholarly journals How do you measure up? Methods to assess linkage quality

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Anna Ferrante ◽  
James Boyd ◽  
Sean Randall ◽  
Adrian Brown ◽  
James Semmens
Keyword(s):  
Record Linkage ◽  
Service Use ◽  
Performance Metrics ◽  
Population Level ◽  
Additional Information ◽  
Linkage Quality ◽  
Health And Disease ◽  
The Impact ◽  
Quality Process

ABSTRACT ObjectivesRecord linkage is a powerful technique which transforms discrete episode data into longitudinal person-based records. These records enable the construction and analysis of complex pathways of health and disease progression, and service use. Achieving high linkage quality is essential for ensuring the quality and integrity of research based on linked data. The methods used to assess linkage quality will depend on the volume and characteristics of the datasets involved, the processes used for linkage and the additional information available for quality assessment. This paper proposes and evaluates two methods to routinely assess linkage quality. ApproachLinkage units currently use a range of methods to measure, monitor and improve linkage quality; however, no common approach or standards exist. There is an urgent need to develop “best practices” in evaluating, reporting and benchmarking linkage quality. In assessing linkage quality, of primary interest is in knowing the number of true matches and non-matches identified as links and non-links. Any misclassification of matches within these groups introduces linkage errors. We present efforts to develop sharable methods to measure linkage quality in Australia. This includes a sampling-based method to estimate both precision (accuracy) and recall (sensitivity) following record linkage and a benchmarking method - a transparent and transportable methodology to benchmark the quality of linkages across different operational environments. ResultsThe sampling-based method achieved estimates of linkage quality that were very close to actual linkage quality metrics. This method presents as a feasible means of accurately estimating matching quality and refining linkages in population level linkage studies. The benchmarking method provides a systematic approach to estimating linkage quality with a set of open and shareable datasets and a set of well-defined, established performance metrics. The method provides an opportunity to benchmark the linkage quality of different record linkage operations. Both methods have the potential to assess the inter-rater reliability of clerical reviews. ConclusionsBoth methods produce reliable estimates of linkage quality enabling the exchange of information within and between linkage communities. It is important that researchers can assess risk in studies using record linkage techniques. Understanding the impact of linkage quality on research outputs highlights a need for standard methods to routinely measure linkage quality. These two methods provide a good start to the quality process, but it is important to identify standards and good practices in all parts of the linkage process (pre-processing, standardising activities, linkage, grouping and extracting).

The Hidden Impact of COVID-19 on Sexual and Reproductive Health and Rights of Women in India

2021 ◽  
Vol 17 ◽  
Author(s):  
Vijayan Sharmila ◽  
Thirunavukkarasu Arun Babu
Keyword(s):  
Reproductive Health ◽  
Health Care Providers ◽  
Sexual And Reproductive Health ◽  
World Health ◽  
Care Providers ◽  
Safe Abortion ◽  
Sexually Transmitted ◽  
Coronavirus Infection ◽  
Health Organization ◽  
The Impact

: Coronavirus (COVID-19) outbreak was first reported from China in December 2019, and World Health Organization declared the outbreak as a pandemic on 11 March 2020. The number of confirmed cases is rising alarmingly in most countries across all continents over the past few months. The current COVID-19 pandemic has an immense impact on Sexual and reproductive health and rights (SRHR) with disruptions in regular provision of Sexual and reproductive health (SRH) services such as maternal care, safe abortion services, contraception, prevention and treatment of HIV/AIDS and other sexually transmitted diseases. Other aspects that merit attention include probable increase in domestic violence, sexual abuse, and effects of stigma associated with coronavirus infection on SRH clients and health care providers. Furthermore, as the coronavirus infection is relatively new, only minimal data is available to understand the impact of this disease on SRH, including coronavirus infection complicating pregnancies, and in people with STI/HIV-related immunosuppression. There is a serious necessity for the medical fraternity to generate psycho-social and clinico-epidemiological correlations between coronavirus disease and SRHR outcomes. The article reviews the hidden impact of coronavirus pandemic on sexual and reproductive health and rights of women, particularly in India

Sexual and reproductive health

2018 ◽  
pp. 95-98
Author(s):  
Lavanya Pillay ◽  
Jenni Smit ◽  
Mags Beksinska ◽  
Chelsea Morroni
Keyword(s):  
Reproductive Health ◽  
Sexuality Education ◽  
Sexual And Reproductive Health ◽  
Reproductive Tract ◽  
Population Level ◽  
Reproductive Tract Infections ◽  
The Sustainable Development ◽  
Sexually Transmitted ◽  
Individual Level ◽  
Aids Epidemic

Ensuring sexual and reproductive health and rights (SRHR) and empowerment of girls and women are essential to improving individual-level and population-level outcomes globally, and to achieving the Sustainable Development Goals (SDGs). Target SDGs for SRHR include access to a range of (SRH) services, reproductive rights, and ending discrimination and violence against women and girls. SRH services should be provided in a holistic and integrated package to ensure increased access to modern contraceptives, maternity care, prevention, and appropriate treatment of infertility, comprehensive sexuality education and the prevention, diagnosis, and treatment of sexually transmitted infections, reproductive tract infections, and HIV. Addressing these is particularly crucial for ending the HIV/AIDS epidemic, where women are at greater risk of infection compared to men due to a greater physical vulnerability, which is further compounded by gender inequality, poverty, and violence.

scholarly journals Uric acid and left ventricular hypertrophy: another relationship in hemodialysis patients

2019 ◽  
Author(s):  
Gjulsen Selim ◽  
Olivera Stojceva-Taneva ◽  
Liljana Tozija ◽  
Beti Zafirova-Ivanovska ◽  
Goce Spasovski ◽  
...  
Keyword(s):  
Uric Acid ◽  
General Population ◽  
Left Ventricular Hypertrophy ◽  
Ventricular Hypertrophy ◽  
Reference Group ◽  
Left Ventricular ◽  
Reactive Protein ◽  
Cv Disease ◽  
The Impact

Abstract Background The impact of serum uric acid (UA) on morbidity and mortality in hemodialysis (HD) patients is quite controversial in relation to the general population. The aim of this study was to evaluate the association of serum UA with both mortality and left ventricular hypertrophy (LVH) in HD patients. Methods This longitudinal study enrolled 225 prevalent HD patients who were classified into three groups according to their follow-up-averaged UA (FA-UA) levels: low FA-UA (FA-UA <400 µmol/L), intermediate/reference FA-UA (FA-UA between 400 and 450 µmol/L) and high FA-UA (FA-UA >450 µmol/L). Echocardiography was performed on a nondialysis day and the presence of LVH was defined based on a left ventricular mass index (LVMI) >131 and >100 g/m2 for men and women, respectively. The patients were followed during a 60-month period. Results The mean FA-UA level was 425 ± 59 µmol/L (range 294–620). There was a consistent association of higher FA-UA with better nutritional status (higher body mass index, normalized protein catabolic rate, creatinine, albumin and phosphorus), higher hemoglobin, but lower C-reactive protein and LVMI. During the 5-year follow-up, 81 patients died (36%) and the main causes of death were cardiovascular (CV) related (70%). When compared with the reference group, the hazard ratio for all-cause mortality was 1.75 [95% confidence interval (CI) 1.02–2.98; P = 0.041] in the low FA-UA group, but there was no significant association with the high FA-UA group. In contrast, FA-UA did not show an association with CV mortality neither with the lower nor with the high FA-UA group. The unadjusted odds ratio (OR) of LVH risk in the low FA-UA compared with the reference FA-UA group was 3.11 (95% CI 1.38–7.05; P = 0.006), and after adjustment for age, gender, diabetes and CV disease, ORs for LVH persisted significantly only in the low FA-UA group [OR 2.82 (95% CI 1.16–6.88,); P = 0.002]. Conclusions Low serum UA is a mortality risk factor and is associated with LVH in HD patients. These results are in contrast with the association of UA in the general population and should be the subject of further research.

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