Dataset Information

Unmet clinical needs for COVID-19 tests in UK health and social care settings.

ABSTRACT: There is an urgent requirement to identify which clinical settings are in most need of COVID-19 tests and the priority role(s) for tests in these settings to accelerate the development of tests fit for purpose in health and social care across the UK. This study sought to identify and prioritize unmet clinical needs for COVID-19 tests across different settings within the UK health and social care sector via an online survey of health and social care professionals and policymakers. Four hundred and forty-seven responses were received between 22nd May and 15th June 2020. Hospitals and care homes were recognized as the settings with the greatest unmet clinical need for COVID-19 diagnostics, despite reporting more access to laboratory molecular testing than other settings. Hospital staff identified a need for diagnostic tests for symptomatic workers and patients. In contrast, care home staff expressed an urgency for screening at the front door to protect high-risk residents and limit transmission. The length of time to test result was considered a widespread problem with current testing across all settings. Rapid tests for staff were regarded as an area of need across general practice and dental settings alongside tests to limit antibiotics use.

SUBMITTER: Graziadio S

PROVIDER: S-EPMC7660574 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Unmet clinical needs for COVID-19 tests in UK health and social care settings.

Graziadio Sara S Urwin Samuel G SG Cocco Paola P Micocci Massimo M Winter Amanda A Yang Yaling Y Price D Ashley DA Messenger Mike M Allen A Joy AJ Shinkins Bethany B

PloS one 20201112 11

There is an urgent requirement to identify which clinical settings are in most need of COVID-19 tests and the priority role(s) for tests in these settings to accelerate the development of tests fit for purpose in health and social care across the UK. This study sought to identify and prioritize unmet clinical needs for COVID-19 tests across different settings within the UK health and social care sector via an online survey of health and social care professionals and policymakers. Four hundred an ...[more]

PMID: 33180807

Similar Datasets

Project description:BackgroundThe COVID-19 pandemic severely affected everyday life and working conditions for most Europeans, particularly health care professionals (HCPs). Over the past 3 years, various policies have been implemented in various European countries. Studies have reported on the worsening of mental health, work-related stress, and helpful coping strategies. However, having a closer look is still necessary to gain more information on the psychosocial stressors and unmet needs of HCPs as well as nonmedical staff.ObjectiveThis study aimed to obtain quantitative information on job-related stressors of physicians and nurses and the coping strategies of HCPs and nonmedical staff at 2 periods of the COVID-19 pandemic. By further analyzing qualitative comments, we wanted to gain more information on the psychosocial stressors and unmet needs of HCPs as well as nonmedical staff on different levels of experience.MethodsA cross-sectional survey was conducted at 2 time points during the COVID-19 pandemic in several European countries. The first study period (T1) lasted between April 1 and June 20, 2020, and the second study period (T2) lasted between November 25, 2021, and February 28, 2022. On a quantitative level, we used a questionnaire on stressors for physicians and nurses and a questionnaire on coping strategies for HCPs and nonmedical staff. Quantitative data were descriptively analyzed for mean values and differences in stressors and coping strategies. Qualitative data of free-text boxes of HCPs and nonmedical staff were analyzed via thematic analysis to explore the experiences of the individuals.ResultsT1 comprised 609 participants, and T2 comprised 1398 participants. Overall, 296 participants made 438 qualitative comments. The uncertainty about when the pandemic would be controlled (T1: mean 2.28, SD 0.85; T2: mean 2.08, SD 0.90) and the fear of infecting the family (T1: mean 2.26, SD 0.98; T2: mean 2.02, SD 1.02) were the most severe stressors identified by physicians and nurses in both periods. Overall, the use of protective measures (T1: mean 2.66, SD 0.60; T2: mean 2.66, SD 0.60) and acquiring information about COVID-19 (T1: mean 2.29, SD 0.82; T2: mean 1.99, SD 0.89) were identified as the most common coping strategies for the entire study population. Using thematic analysis, we identified 8 themes of personal experiences on the micro, meso, and macro levels. Measures, working conditions, feelings and emotions, and social climate were frequently mentioned topics of the participants. In T1, feelings of isolation and uncertainty were prominent. In T2, feelings of exhaustion were expressed and vaccination was frequently discussed. Moreover, unmet psychosocial needs were identified.ConclusionsThere is a need for improvement in pandemic preparedness. Targeted vocational education measures and setting up of web-based mental health support could be useful to bridge gaps in psychosocial support needs in future crises.

Project description:BackgroundThe occupancy of healthcare resources by the COVID-19 outbreak had led to the unmet health needs of non-COVID-19 diseases. We aimed to explore whether the social media information could help surveil and understand the characteristics of unmet non-COVID-19 health needs during the COVID-19 outbreak in Wuhan city.MethodsThis was an observational study based on social media data. The study period was set during the 3 months of the COVID-19 outbreak. Non-COVID-19 urgent and emergent health needs in Wuhan city were derived from Sina Weibo-one of China's largest social media platforms. Lag Spearman correlation was used to investigate the epidemiological relationship between the COVID-19 outbreak and non-COVID-19 health needs. Patient's primary diseases and needed care were annotated and categorized according to the International Classification of Diseases 11th Revision. The delay time in seeking help was calculated and compared.ResultsAfter screening 114,795 Weibo posts, a total of 229 patients with non-COVID-19 health needs were included in our study. There were significant correlations between the daily number of COVID-19 cases at a 10-day lag, deaths at a 5-day lag, and non-COVID-19 Weibo. The actual number of non-COVID-19 patients with urgent and emergent health needs was estimated to be about 6,966. Patients with non-COVID-19 health needs were skewed to those aged 50 to 70 years. The non-COVID-19 diseases were diverse, with 46.3% as non-neoplastic diseases and 53.7% as neoplasms. The most needed cares were palliative cancer care (22.7%), chemotherapy (18.8%), and critical care (17.0%). The median delay in seeking help was 3 days [interquartile range (IQR), 1 to 15 days] for acute care, and 18.5 days (IQR, 6 to 30 days) for cancer care.ConclusionsOur preliminary findings in Wuhan city indicated that the social media data might provide a viable option to surveil and understand the unmet health needs during an outbreak. Those heterogeneous health needs derived from the social media data might inspire a more resilient healthcare system to address the unmet needs promptly.

Project description:BackgroundThe association between unmet social needs (e.g., food insecurity) and adverse health outcomes is well-established, especially for patients with and at risk for cardiovascular disease (CVD). This has motivated healthcare systems to focus on unmet social needs. Yet, little is known about the mechanisms by which unmet social needs impact health, which limits healthcare-based intervention design and evaluation. One conceptual framework posits that unmet social needs may impact health by limiting care access, but this remains understudied.ObjectiveExamine the relationship between unmet social needs and care access.DesignCross-sectional study design using survey data on unmet needs merged with administrative data from the Veterans Health Administration (VA) Corporate Data Warehouse (September 2019-March 2021) and multivariable models to predict care access outcomes. Pooled and separate rural and urban logistic regression models were utilized with adjustments from sociodemographics, region, and comorbidity.SubjectsA national stratified random sample of VA-enrolled Veterans with and at risk for CVD who responded to the survey.Main measuresNo-show appointments were defined dichotomously as patients with one or more missed outpatient visits. Medication non-adherence was measured as proportion of days covered and defined dichotomously as adherence less than 80%.Key resultsGreater burden of unmet social needs was associated with significantly higher odds of no-show appointments (OR = 3.27, 95% CI = 2.43, 4.39) and medication non-adherence (OR = 1.59, 95% CI = 1.19, 2.13), with similar associations observed for rural and urban Veterans. Social disconnection and legal needs were especially strong predictors of care access measures.ConclusionsFindings suggest that unmet social needs may adversely impact care access. Findings also point to specific unmet social needs that may be especially impactful and thus might be prioritized for interventions, in particular social disconnection and legal needs.

Project description:ObjectiveTo describe social needs among low-income adults and estimate the relationship between level of unmet social needs and key indicators of health care access and quality.Data sourceNational survey data from 12 states from the 2017 Behavioral Risk Factor Surveillance System, which added a "Social Determinants of Health" Module in 2017.Study designWe examined differences in eight measures of health care access and quality (eg, check-up in last 12 months, inability to see doctor due to cost, receipt of eye examination for diabetics) for low-income adults with 0, 1, 2-3, and 4+ unmet social needs based on 7 social needs measures. We used adjusted logistic regression models to estimate the association between level of unmet need and each outcome.Principal findingsMost common unmet social needs included not having enough money for balanced meals (33 percent) or food (32 percent). After adjusting for observable characteristics, higher levels of unmet social need were associated with poorer access and quality. Compared to those with no reported unmet needs, having 4+ unmet needs was significantly associated with reduced probability of having a yearly check-up (65 percent vs 78 percent, adjusted difference = -7.1 percentage points (PP)), receiving a flu vaccine (33 percent vs 42 percent, adjusted difference = -5.4 PP), having a personal doctor (74 percent vs 80 percent, adjusted difference = -3.1 PP), and having a foot (63 percent vs 80 percent, adjusted difference = -12.8 PP) or eye examination (61 percent vs 73 percent, adjusted difference = -12.6 PP) for diabetic patients, and increased probability of being unable to see a doctor due to cost (44 percent vs 9 percent, adjusted difference = 27.9 PP) and having diabetes affect the eyes (22 percent vs 19 percent, adjusted difference = 8.0 PP) at α = 0.05.ConclusionsHigher levels of unmet social needs were associated with poorer access to and quality of care among low-income adults. Addressing social needs both inside and outside of health care settings may help mitigate these negative effects. Additional research on if and how to effectively do so is critical.

Project description:BackgroundThe COVID-19 pandemic affected access to health care services in Canada; however, limited research examines the influence of the social determinants of health on unmet health care needs during the first year of the pandemic. The objectives of this study were to describe unmet health care needs during the first year of the pandemic and to investigate the association of unmet needs with the social determinants of health.MethodsWe conducted a prospective cohort study of 23 972 adults participating in the Canadian Longitudinal Study on Aging (CLSA) COVID-19 Study (April-December 2020) to identify the social determinants of health associated with unmet health care needs during the pandemic. Using logistic regression, we assessed the association between several social determinants of health on the following 3 outcomes (separately): experiencing any challenges in accessing health care services, not going to a hospital or seeing a doctor when needed, and experiencing barriers to accessing testing for SARS-CoV-2 infection.ResultsFrom September to December 2020, 25% of participants experienced challenges accessing health care services, 8% did not go to a hospital or see a doctor when needed and 4% faced barriers accessing testing for SARS-CoV-2 infection. The prevalence of all 3 unmet need outcomes was lower among older age groups. Differences were observed by sex, region, education, income and racial background. Immigrants (odds ratio [OR] 1.18, 95% confidence interval [CI] 1.09-1.27) or people with chronic conditions (OR 1.35, 95% CI 1.27-1.43) had higher odds of experiencing challenges accessing health care services and had higher odds of not going to a hospital or seeing a doctor (immigrants OR 1.26, 95% CI 1.11-1.43; chronic conditions OR 1.45, 95% CI 1.31-1.61). Prepandemic unmet health care needs were strongly associated with all 3 outcomes.InterpretationSubstantial unmet health care needs were reported by Canadian adults during the first year of the pandemic. The results of this study have important implications for health equity.

Dataset Information

Unmet clinical needs for COVID-19 tests in UK health and social care settings.

Publications

Unmet clinical needs for COVID-19 tests in UK health and social care settings.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets