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Objectives Self-management of chronic diseases is rather complex, especially for patients with limited health literacy. In this review, we aim to disentangle the specific difficulties patients with limited health literacy face in relation to self-management and their associated needs with respect to self-management support. Methods We performed a literature search in five databases. We used a broad definition of health literacy and self-management was categorized into four types of activities: medical management, changing lifestyle, communicating and navigating through the health care system and coping. Included reviews described the relationship between health literacy and different domains of self-management and were published after 2010. Results A total of 28 reviews were included. Some clear difficulties of patients with limited health literacy emerged, predominantly in the area of medical management (especially adherence), communication and knowledge. Other associations between health literacy and self-management were inconclusive. Barriers from the patients’ perspective described mainly medical management and the communication and navigation of the health care system. Discussion Patients with limited health literacy experience difficulties with specific domains of self-management. For a better understanding of the relationship between health literacy and self-management, a broader conceptualization of health literacy is warranted, including both cognitive and behavioural aspects.

Background: The COVID-19 pandemic generated a surge of critically ill patients greater than the NHS capacity. Additionally there have been multiple well-documented impacts associated with the national COVID-19 pandemic surge on ICU workers including an increased prevalence of mental health disorders on a scale potentially sufficient to impair high-quality care delivery. Aim: To identify prevalence of probable mental health disorders, functional impairment and establish demographic and professional predictors of probable mental health disorders, and functional impairment, in ICU staff between November 2020 to April 2021. Methods: English ICU staff were surveyed before, during and after the winter 2020/2021 surge using a survey which comprised of validated measures of mental health. Results: 6080 surveys were completed, by nurses (57.5%), doctors (27.9%), and other healthcare staff (14.5%). Reporting probable mental health disorders increased from 51% (prior to), to 64% (during) and then dropped to 46% (after) the peak. Younger, less experienced and nursing staff were most likely to report probable mental health disorders. Additionally, during and after the winter, over 50% of participants met threshold criteria for functional impairment. Staff who reported probable post-traumatic stress disorder, anxiety or depression were more likely to meet threshold criteria for functional impairment. Conclusions: The winter of 2020/2021 was associated with an increase in poor mental health outcomes and functional impairment during a period of peak caseload. These effects are likely to impact on patient care outcomes and the longer-term resilience of the healthcare workforce.

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Self-management interventions (SMIs) may improve outcomes in Chronic Obstructive Pulmonary Disease (COPD). However, accurate comparisons of their relative effectiveness are challenging, partly due to a lack of clarity and detail regarding the intervention content being evaluated. This study systematically describes intervention components and characteristics in randomized controlled trials (RCTs) related to COPD self-management using the COMPAR-EU taxonomy as a framework, identifying components that are insufficiently incorporated into the design of the intervention or insufficiently reported. Overall, 235 RCTs published between 2010 and 2018, from a systematic review were coded using the taxonomy, which includes 132 components across four domains: intervention characteristics, expected patient (or caregiver) self-management behaviours, patient relevant outcomes, and target population characteristics. Risk of bias was also assessed. Interventions mainly focused on physical activity (67.4%), and condition-specific behaviours like breathing exercise (63.5%), self-monitoring (50.8%), and medication use (33.9%). Support techniques like education and skills-training, self-monitoring, and goal setting (over 35% of the RCTs) were mostly used for this. Emotional-based techniques, problem-solving, and shared decision-making were less frequently reported (less than 15% of the studies). Numerous SMIs components were insufficiently incorporated into the design of COPD SMIs or insufficiently reported. Characteristics like mode of delivery, intensity, location, and providers involved were often not described. Only 8% of the interventions were tailored to the target population’s characteristics. Outcomes that are considered important by patients were hardly taken into account. There is still a lot to improve in both the design and description of SMIs for COPD. Using a framework such as the COMPAR-EU SMI taxonomy may contribute to better reporting and to better informing of replication efforts. In addition, prospective use of the taxonomy for developing and reporting intervention content would further aid in building a cumulative science of effective SMIs in COPD.

Objectives: We examined whether providing different types of information about Long COVID would affect expectations about the illness. Design: A 2 (Illness description: Long COVID vs ongoing COVID-19 recovery) x 2 (Illness uncertainty: uncertainty emphasised vs uncertainty not emphasised) x 2 (Efficacy of support: enhanced support vs basic support) between-subjects randomised online experimental study. Setting: The online platform Prolific, collected in October 2021. Participants: A representative sample of 1110 members of the public in the UK. Interventions: Participants were presented with a scenario describing a positive COVID-19 test result and then presented with one of eight scenarios describing a Long COVID diagnosis. Primary and Secondary Outcome Measures: Various outcome measures relating to illness expectations were captured including: symptom severity, symptom duration, quality of life, personal control, treatment control and illness coherence. Results: We ran a series of 2 x 2 x 2 ANOVAs on the outcome variables. We found a main effect of illness description: individuals reported longer symptom duration and less illness coherence when the illness was described as Long COVID (compared to ongoing COVID-19 recovery). There was a main effect of illness uncertainty: when uncertainty was emphasised, participants reported longer expected symptom duration, less treatment control, and less illness coherence than when uncertainty was not emphasised. There was also a main effect of efficacy of support: participants reported higher personal control and higher treatment control when support was enhanced (compared to basic support). We also found an interaction between illness description and efficacy of support: when support was enhanced, participants reported less illness coherence for Long COVID (compared to ongoing COVID-19 recovery). Conclusions: Communications around Long COVID should not emphasise symptom uncertainty and should provide people with information on how they can facilitate their recovery and where they can access additional support. The findings also suggest that use of the term ongoing COVID-19 recovery, where possible, may reduce negative expectations associated with the illness.

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