The use and impact of digital COVID-19 tracking in adult social care: a prospective cohort study of care homes in Greater Manchester.

BACKGROUND: To support proactive care during the coronavirus pandemic, a digital COVID-19 symptom tracker was deployed in Greater Manchester (UK) care homes. This study aimed to understand what factors were associated with the post-uptake use of the tracker and whether the tracker had any effects in controlling the spread of COVID-19. METHODS: Daily data on COVID-19, tracker uptake and use, and other key indicators such as staffing levels, the number of staff self-isolating, availability of personal protective equipment, bed occupancy levels, and any problems in accepting new residents were analysed for 547 care homes across Greater Manchester for the period April 2020 to April 2021. Differences in tracker use across local authorities, types of care homes, and over time were assessed using correlated effects logistic regressions. Differences in numbers of COVID-19 cases in homes adopting versus not adopting the tracker were compared via event design difference-in-difference estimations. RESULTS: Homes adopting the tracker used it on 44% of days post-adoption. Use decreased by 88% after one year of uptake (odds ratio 0.12; 95% confidence interval 0.06-0.28). Use was highest in the locality initiating the project (odds ratio 31.73; 95% CI 3.76-268.05). Care homes owned by a chain had lower use (odds ratio 0.30; 95% CI 0.14-0.63 versus single ownership care homes), and use was not associated with COVID-19 or staffing levels. Tracker uptake had no impact on controlling COVID-19 spread. Staff self-isolating and local area COVID-19 cases were positively associated with lagged COVID-19 spread in care homes (relative risks 1.29; 1.2-1.4 and 1.05; 1.0-1.1, respectively). CONCLUSIONS: The use of the COVID-19 symptom tracker in care homes was not maintained except in Locality 1 and did not appear to reduce the COVID-19 spread. COVID-19 cases in care homes were mainly driven by care home local-area COVID-19 cases and infections among the staff members. Digital deterioration trackers should be co-produced with care home staff, and local authorities should provide long-term support in their adoption and use.

Has COVID-19 changed carer's views of health and care integration in care homes? A sentiment difference-in-difference analysis of on-line service reviews.

Closer integration of health and social care is a policy priority in many countries. The COVID-19 pandemic has reinforced the necessity of joining up health and social care systems, especially in care home settings. However, the meaning and perceived importance of integration for residents' and carers' experience is unclear and we do not know whether it has changed during the pandemic. Using unique data from on-line care home service reviews, we combined multiple methods. We used Natural Language Processing with supervised machine learning to construct a measure of sentiment for care home residents' and their relatives' (measured by AFINN score). Difference-in-difference analysis was used to examine whether experiencing integrated care altered these sentiments by comparing changes in sentiment in reviews related to integration (containing specific terms) to those which were not. Finally, we used network analysis on post-estimation results to assess which specific attributes stakeholders focus on most when detailing their most/least positive experiences of health and care integration in care homes, and whether these attributes changed over the pandemic. Reviews containing integration words were more positive than reviews unrelated to integration in the pre-pandemic period (about 2.3 points on the AFINN score) and remained so during the first year of the pandemic. Overall positive sentiment increased during the COVID-19 period (average by +1.1 points), mainly in reviews mentioning integration terms at the beginning of the first (+2.17, p-value 0.175) and second waves (+3.678, p-value 0.027). The role of care home staff was pivotal in both positive and negative reviews, with a shift from aspects related to care in pre-pandemic to information services during the pandemic, signalling their importance in translating integrated needs-based paradigms into policy and practice.

Building back fairer in Greater Manchester and the country.

A summary of our analyses in Greater Manchester (GM), and the northwest (NW) region, might be: the NW is like England as a whole only more so. The life expectancy drop in England in 2020 was 1.2 years in men and 0.9 years in women-shocking, but not as high as in the NW. COVID-19 mortality rates were high in England; 25% higher in the NW. Inequalities in mortality are high in England; bigger in the NW. The title, Build Back Fairer, is a deliberate echo of the Build Back Better mantra, showing that the levels of social, environmental and economic inequality in society are damaging health and well-being. As the UK emerges from the pandemic, it would be a tragic mistake to re-establish the status quo that existed pre-pandemic-a status quo marked in England, over the decade from 2010, by a stagnation of health improvement that was more marked than in any rich country other than Iceland and the USA; by widening health inequalities; and by a fall in life expectancy in the most deprived 10% of areas outside London. That stagnation, those social and regional inequalities, and deterioration in health for the most deprived people are markers of a society that is not meeting the needs of its members.

Food support provision in COVID-19 times: Organizational data from Greater Manchester.

The dataset presented in this paper contains information on 55 food support providers active in Greater Manchester during the COVID-19 crisis. Survey data were collected in June 2020 to obtain standardized information on the obstacles, needs, and prospects of the food support providers of the region immediately after the first COVID-19 wave. Although the sample is mainly composed of food banks, it also includes other providers such as food pantries, food clubs and meal providers. The data allows to draw some preliminary conclusions on the emergency response put in place and to highlight the most common difficulties faced by the organizations. To this purpose, the dataset contains variables that capture information related (i) to the impact of COVID-19 on organizational procedures and management, and (ii) to the characteristics of different food support provider before the COVID-19 outbreak.