A "Rapid Best-Fit" model for framework synthesis: Using research objectives to structure analysis within a rapid review of qualitative evidence

Triggers and factors associated with moral distress and moral injury in health and social care workers: A systematic review of qualitative studies

OBJECTIVE

At some point in their career, many healthcare workers will experience psychological distress associated with being unable to take morally or ethically correct action, as it aligns with their own values; a phenomenon known as moral distress. Similarly, there are increasing reports of healthcare workers experiencing long-term mental and psychological pain, alongside internal dissonance, known as moral injury. This review examined the triggers and factors associated with moral distress and injury in Health and Social Care Workers (HSCW) employed across a range of clinical settings with the aim of understanding how to mitigate the effects of moral distress and identify potential preventative interventions.

METHODS

A systematic review was conducted and reported according to recommendations from Cochrane and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Searches were conducted and updated regularly until January 2024 on 2 main databases (CENTRAL, PubMed) and three specialist databases (Scopus, CINAHL, PsycArticles), alongside hand searches of study registration databases and other systematic reviews reference lists. Eligible studies included a HSCW sample, explored moral distress/injury as a main aim, and were written in English or Italian. Verbatim quotes were extracted, and article quality was assessed via the CASP toolkit. Thematic analysis was conducted to identify patterns and arrange codes into themes. Specific factors like culture and diversity were explored, and the effects of exceptional circumstances like the pandemic.

RESULTS

Fifty-one reports of 49 studies were included in the review. Causes and triggers were categorised under three domains: individual, social, and organisational. At the individual level, patients' care options, professionals' beliefs, locus of control, task planning, and the ability to make decisions based on experience, were indicated as elements that can cause or trigger moral distress. In addition, and relevant to the CoVID-19 pandemic, was use/access to personal protection resources. The social or relational factors were linked to the responsibility for advocating for and communication with patients and families, and professionals own support network. At organisational levels, hierarchy, regulations, support, workload, culture, and resources (staff and equipment) were identified as elements that can affect professionals' moral comfort. Patients' care, morals/beliefs/standards, advocacy role and culture of context were the most referenced elements. Data on cultural differences and diversity were not sufficient to make assumptions. Lack of resources and rapid policy changes have emerged as key triggers related to the pandemic. This suggests that those responsible for policy decisions should be mindful of the potential impact on staff of sudden and top-down change.

CONCLUSION

This review indicates that causes and triggers of moral injury are multifactorial and largely influenced by the context and constraints within which professionals work. Moral distress is linked to the duty and responsibility of care, and professionals' disposition to prioritise the wellbeing of patients. If the organisational values and regulations are in contrast with individuals' beliefs, repercussions on professionals' wellbeing and retention are to be expected. Organisational strategies to mitigate against moral distress, or the longer-term sequalae of moral injury, should address the individual, social, and organisational elements identified in this review.

Feasible diet and circadian interventions reduce in vivo progression of FLT3-ITD-positive acute myeloid leukemia

BACKGROUND

Acute myeloid leukemia (AML) with an internal tandem duplication in the fms-like tyrosine kinase receptor 3 gene (FLT3-ITD) is associated with poor survival, and few studies have examined the impact of modifiable behaviors, such as nutrient quality and timing, in this subset of acute leukemia.

METHODS

The influence of diet composition (low-sucrose and/or low-fat diets) and timing of diet were tested in tandem with anthracycline treatment in orthotopic xenograft mouse models. A pilot clinical study to test receptivity of pediatric leukemia patients to macronutrient matched foods was conducted. A role for the circadian protein, BMAL1 (brain and muscle ARNT-like 1), in effects of diet timing was studied by overexpression in FLT3-ITD-bearing AML cells.

RESULTS

Reduced tumor burden in FLT3-ITD AML-bearing mice was observed with interventions utilizing low-sucrose and/or low-fat diets, or time-restricted feeding (TRF) compared to mice fed normal chow ad libitum. In a tasting study, macronutrient matched low-sucrose and low-fat meals were offered to pediatric acute leukemia patients who largely reported liking the meals. Expression of the circadian protein, BMAL1, was heightened with TRF and the low-sucrose diet. BMAL1 overexpression and treatment with a pharmacological inducer of BMAL1 was cytotoxic to FLT3-ITD AML cells.

CONCLUSIONS

Mouse models for FLT3-ITD AML show that diet composition and timing slows progression of FLT3-ITD AML growth in vivo, potentially mediated by BMAL1. These interventions to enhance therapy efficacy show preliminary feasibility, as pediatric leukemia patients responded favorable to preparation of macronutrient matched meals.

Enhancing the utilization of healthy living interventions among cancer survivors in historically underserved populations and communities

PURPOSE

This study aimed to describe the clinical characteristics and wellness programming preferences of cancer survivors from Acres Homes, a historically Black neighborhood in Houston, Texas, with areas of persistent poverty. The goal of this study was to identify opportunities to increase cancer survivor utilization of healthy eating and active living interventions aligned to cancer center community outreach and engagement efforts.

METHODS

This multiple methods study included a retrospective review of electronic health record data (n = 413) and qualitative interviews with cancer survivors (n = 31) immediately preceding initiation of healthy eating, active living programming in Acres Homes.

RESULTS

This study found Acres Homes survivors have high rates of co-occurrent cardiometabolic disease including obesity (45.0%), diabetes (30.8%), and other related risk factors as well as treatment-related symptoms. Four major concepts emerged from interviews: (1) Factors that influence survivors' ability to eat well and exercise, (2) Current usage of community resources, (3) Interest in relevant programming, and (4) Specific programming preferences. Opportunities for current and future health promotion programming for cancer survivors were explored.

CONCLUSION

Strategically tailoring community resources for cancer survivors can provide a more robust network of support to promote healthy eating and active living in this population. This work informed community implementation of evidence-based health interventions in Acres Homes and may support future projects aiming to enhance community-led cancer prevention efforts in historically underserved communities.

Machine learning in systematic reviews: Comparing automated text clustering with Lingo3G and human researcher categorization in a rapid review

Systematic reviews are resource-intensive. The machine learning tools being developed mostly focus on the study identification process, but tools to assist in analysis and categorization are also needed. One possibility is to use unsupervised automatic text clustering, in which each study is automatically assigned to one or more meaningful clusters. Our main aim was to assess the usefulness of an automated clustering method, Lingo3G, in categorizing studies in a simplified rapid review, then compare performance (precision and recall) of this method compared to manual categorization. We randomly assigned all 128 studies in a review to be coded by a human researcher blinded to cluster assignment (mimicking two independent researchers) or by a human researcher non-blinded to cluster assignment (mimicking one researcher checking another's work). We compared time use, precision and recall of manual categorization versus automated clustering. Automated clustering and manual categorization organized studies by population and intervention/context. Automated clustering failed to identify two manually identified categories but identified one additional category not identified by the human researcher. We estimate that automated clustering has similar precision to both blinded and non-blinded researchers (e.g., 88% vs. 89%), but higher recall (e.g., 89% vs. 84%). Manual categorization required 49% more time than automated clustering. Using a specific clustering algorithm, automated clustering can be helpful with categorization of and identifying patterns across studies in simpler systematic reviews. We found that the clustering was sensitive enough to group studies according to linguistic differences that often corresponded to the manual categories.