The Temporal Uses of Moral Things: Manifesting, Anchoring and Conserving Caring Relations within the Sensorium.

In this article we argue that menthol-containing products, like chewing gums, vapour rubs and mouthwashes, are used as moral things within everyday practices. They take on moral functions because of how their material qualities contribute to sensory experiences. Specifically, we focus on scenarios in which menthol products become associated with the moral work of care and highlight the temporal dimension of what people do with moral things. We review the literature on morality as a practical, everyday accomplishment and stress the embodied nature of caring practices to outline how care is bound up with sensory experience. We draw on rich qualitative data generated through creative methods, including film, photography and sketching, as part of object-elicitation interviews, focus groups, home tours and 'pop-up stalls'. We develop three concepts regarding the function of moral things: manifesting, anchoring and conserving moral relations to describe how time, morality and the sensory are entwined.

Factors associated with SARS-CoV-2 infection and outbreaks in long-term care facilities in England: a national cross-sectional survey.

BACKGROUND: Outbreaks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have occurred in long-term care facilities (LTCFs) worldwide, but the reasons why some facilities are particularly vulnerable to outbreaks are poorly understood. We aimed to identify factors associated with SARS-CoV-2 infection and outbreaks among staff and residents in LTCFs. METHODS: We did a national cross-sectional survey of all LTCFs providing dementia care or care to adults aged 65 years or older in England between May 26 and June 19, 2020. The survey collected data from managers of eligible LTCFs on LTCF characteristics, staffing factors, the use of disease control measures, and the number of confirmed cases of infection among staff and residents in each LTCF. Survey responses were linked to individual-level SARS-CoV-2 RT-PCR test results obtained through the national testing programme in England between April 30 and June 13, 2020. The primary outcome was the weighted period prevalence of confirmed SARS-CoV-2 infections in residents and staff reported via the survey. Multivariable logistic regression models were fitted to identify factors associated with infection in staff and residents, an outbreak (defined as at least one case of SARS-CoV-2 infection in a resident or staff member), and a large outbreak (defined as LTCFs with more than a third of the total number of residents and staff combined testing positive, or with >20 residents and staff combined testing positive) using data from the survey and from the linked survey-test dataset. FINDINGS: 9081 eligible wLTCFs were identified, of which 5126 (56·4%) participated in the survey, providing data on 160 033 residents and 248 594 staff members. The weighted period prevalence of infection was 10·5% (95% CI 9·9-11·1) in residents and 3·8% (3·4-4·2) in staff members. 2724 (53·1%) LTCFs reported outbreaks, and 469 (9·1%) LTCFs reported large outbreaks. The odds of SARS-CoV-2 infection in residents (adjusted odds ratio [aOR] 0·80 [95% CI 0·75-0·86], p<0·0001) and staff (0·70 [0·65-0·77], p<0·0001), and of large outbreaks (0·59 [0·38-0·93], p=0·024) were significantly lower in LTCFs that paid staff statutory sick pay compared with those that did not. Each one unit increase in the staff-to-bed ratio was associated with a reduced odds of infection in residents (0·82 [0·78-0·87], p<0·0001) and staff (0·63 [0·59-0·68], p<0·0001. The odds of infection in residents (1·30 [1·23-1·37], p<0·0001) and staff (1·20 [1·13-1·29], p<0·0001), and of outbreaks (2·56 [1·94-3·49], p<0·0001) were significantly higher in LTCFs in which staff often or always cared for both infected or uninfected residents compared with those that cohorted staff with either infected or uninfected residents. Significantly increased odds of infection in residents (1·01 [1·01-1·01], p<0·0001) and staff (1·00 [1·00-1·01], p=0·0005), and of outbreaks (1·08 [1·05-1·10], p<0·0001) were associated with each one unit increase in the number of new admissions to the LTCF relative to baseline (March 1, 2020). The odds of infection in residents (1·19 [1·12-1·26], p<0·0001) and staff (1·19 [1·10-1·29], p<0·0001), and of large outbreaks (1·65 [1·07-2·54], p=0·024) were significantly higher in LTCFs that were for profit versus those that were not for profit. Frequent employment of agency nurses or carers was associated with a significantly increased odds of infection in residents (aOR 1·65 [1·56-1·74], p<0·0001) and staff (1·85 [1·72-1·98], p<0·0001), and of outbreaks (2·33 [1·72-3·16], p<0·0001) and large outbreaks (2·42 [1·67-3·51], p<0·0001) compared with no employment of agency nurses or carers. Compared with LTCFs that did not report difficulties in isolating residents, those that did had significantly higher odds of infection in residents (1·33 [1·28-1·38], p<0·0001) and staff (1·48 [1·41-1·56], p<0·0001), and of outbreaks (1·84 [1·48-2·30], p<0·0001) and large outbreaks (1·62 [1·24-2·11], p=0·0004). INTERPRETATION: Half of LTCFs had no cases of SARS-CoV-2 infection in the first wave of the pandemic. Reduced transmission from staff is associated with adequate sick pay, minimal use of agency staff, an increased staff-to-bed ratio, and staff cohorting with either infected or uninfected residents. Increased transmission from residents is associated with an increased number of new admissions to the facility and poor compliance with isolation procedures. FUNDING: UK Government Department of Health and Social Care.

Quality assuring the 2011 Census population estimates.

The 2011 Census is a once in a decade opportunity to gain an accurate picture of the population. Quality assurance of the census population estimates is vital to ensure data robustness and that users have confidence in the results. This article provides a detailed summary of the methods being used to achieve this quality assurance, including the processes and adjustments.

2011 UK Census coverage assessment and adjustment methodology.

Every effort is made to ensure everyone is counted in a census. However, no census is perfect and some people are missed. This undercount does not usually occur uniformly across all geographical areas or across sub-groups of the population such as age and gender. Further, the measurement of small populations, one of the key reasons for carrying out a census, is becoming increasingly difficult. In terms of resource allocation, this is a big issue since the people that are missed can be those who attract higher levels of funding. Therefore money may be wrongly allocated if the Census is unadjusted. ONS outlined its coverage assessment and adjustment strategy in Population Trends 127 (see Abbott, 2007), noting where improvements over the methodology used in 2001 would be sought. This article outlines the proposed methodology for the 2011 Census arising from that strategy, and focuses on the research that has been conducted to date to develop those improvements and innovations.

2011 census coverage assessment and adjustment strategy.

Every effort is made to ensure everyone is counted in a census. However, no census is perfect and some people are missed. This underenumeration does not usually occur uniformly across all geographical areas or across other sub-groups of the population such as age and sex groups. Coverage levels in censuses across the world are declining leading to an increasing need to firstly slow the decline through improved enumeration, and secondly in improved methods and data for measuring coverage. In order to achieve the mission critical aims of the 2011 Census, a coverage assessment and adjustment strategy is required. This article outlines the proposed strategy for the 2011 UK Census. The strategy is to significantly improve upon the 2001 One Number Census, and use it as a platform to develop an improved coverage assessment and adjustment methodology. The article also outlines the key areas of innovation for the 2011 strategy and the options that will be considered in order to develop the final strategy. Stakeholder management is also an important part of the strategy to ensure that key users both buy into and understand the methodology. ONS will look to build on the consultation carried out prior to the 2001 Census and widen the user base with which it engages on this important topic.

Key issues in the quality assurance of the One Number Census.

As part of the 2001 Census, the One Number Census project estimated and adjusted the Census database for underenumeration. As a result of the highly innovative One Number Census and the Quality Assurance process it encompassed, it was also ensured that robust results could be obtained for each local authority area. This article examines some of the issues and analyses that were undertaken as part of that assessment of the 2001 Census population counts for England and Wales. The article firstly highlights the key issues surrounding the implementation of the 2001 Census fieldwork. The article then explores the 2001 Census results through a series of demographic analyses to illustrate the sorts of issues investigated during the One Number Census Quality Assurance process itself. These analyses look at the patterns contained within the results, and comparisons with key alternative sources of population counts. Overall, these in-depth analyses and investigations provide further credence to the plausibility of the One Number Census results.