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Childhood obesity is an escalating crisis in the United States. Health policy may impact this epidemic which disproportionally affects underserved populations.
The aim was to use the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework to assess health policy impact on preventing or treating school-aged children (5 > 18 years) with obesity in underserved populations.
A scoping review of 842 articles was conducted. Twenty-four articles met the inclusion criteria and underwent data extraction.
Twelve studies included subgroup analysis, with four suggesting an impact of policy on at-risk groups. None of the 24 studies fully applied the RE-AIM framework. Policies positively impacted childhood obesity in 12 studies across the sample.
Our review revealed inconsistent evidence for the effectiveness of policy on childhood obesity, perhaps due to the lack of focus on the social determinants of health. In addition, many studies did not evaluate the outcomes for underserved populations. Therefore, we propose more attention to social determinants in future legislation and evaluation of policy effectiveness on underserved populations. Findings identify an urgent need for the design, implementation, and evaluation of policies specifically directed to address the inequities of racism, social injustices, and social determinants of health that impact childhood obesity in the United States. Future work needs to identify who was reached by the policy, who benefitted from the policy, and how policies were implemented to address obesity-related health disparities. Nurses should advocate for the evaluation of childhood obesity policies, particularly in underserved populations, to determine effectiveness. Nurses, particularly those trained in population and community health and research, should advocate for policy research that considers inequities rather than controls for these variables. Multi-layered interventions can then be tailored to sub-populations and evaluated more effectively.
Nurses play a critical role in providing evidence-based, high-quality care to optimize patient outcomes. Models from implementation science suggest social networks may influence the adoption of evidence-based practices (EBPs). However, few studies have examined this relationship among hospital nurses. Social network analysis (SNA) mathematically evaluates patterns of communication, a critical step in implementation. Exploring hospital nurses' communication networks may provide insight into influences on the adoption of EBPs.
This study aimed to describe complete communication networks of hospital nurses for practice changes on inpatient units, including upper level nursing administrators.
This descriptive, exploratory, cross-sectional study used SNA on two inpatient units from one hospital. A sociometric survey was completed by nurses (unit to executive level) regarding communication frequency about practice changes. Network-level density, diameter, average path length, centralization, and arc reciprocity were measured. Attribute data were used to explore subnetworks.
Surveys from 148 nurses on two inpatient adult intensive care units (response rates 90% and 98%) revealed high communication frequency. Network measures were similar across the two units and among subnetworks. Analysis identified central (charge nurses and nurse leaders) and peripheral members of the network (new-to-practice nurses). Subnetworks aligned with the weekend and shift worked.
Established communication channels, including subnetworks and opinion leaders, should be used to maximize and optimize implementation strategies and facilitate the uptake of EBPs. Future work should employ SNA to measure the impact of communication networks on promoting the uptake of EBP and to improve patient outcomes.
Missed nursing care is defined as care that is delayed, partially completed, or not completed at all. The scenario created by the COVID-19 pandemic may have influenced multifactorial determinants related to the care environment, nursing processes, internal processes, and decision-making processes, increasing missed nursing care.
This scoping review aimed to establish the quantity and type of research undertaken on missed nursing care during the COVID-19 pandemic.
This review was conducted following the Joanna Briggs Institute methodology for scoping reviews. We searched CINAHL, MEDLINE, Scopus, two national and regional databases, two dissertations and theses databases, a gray literature database, two study registers, and a search engine from November 1, 2019, to March 23, 2023. We included quantitative, qualitative, and mixed studies carried out in all healthcare settings that examined missed nursing care during the COVID-19 pandemic. Language restrictions were not applied. Two independent reviewers conducted study selection and data extraction. Disagreements between the reviewers were resolved through discussion or with an additional reviewer.
We included 25 studies with different designs, the most common being acute care cross-sectional survey designs. Studies focused on determining the frequency and reasons for missed nursing care and its influence on nurses and organizational outcomes.
Missed nursing care studies during the COVID-19 pandemic were essentially nurses-based prevalence surveys. There is an urgent need to advance the design and development of longitudinal and intervention studies, as well as to broaden the focus of research beyond acute care. Further research is needed to determine the impact of missed nursing care on nursing-sensitive outcomes and from the patient's perspective.
Patient safety is one of the cornerstones of high-quality healthcare systems. Evidence-based practice is one way to improve patient safety from the nursing perspective. Another aspect of care that directly influences patient safety is missed nursing care. However, research on possible associations between evidence-based practice and missed nursing care is lacking.
The aim of this study was to examine associations between registered nurses' educational level, the capability beliefs and use of evidence-based practice, and missed nursing care.
This study had a cross-sectional design. A total of 228 registered nurses from adult inpatient wards at a university hospital participated. Data were collected with the MISSCARE Survey-Swedish version of Evidence-Based Practice Capabilities Beliefs Scale.
Most missed nursing care was reported within the subscales Basic Care and Planning. Nurses holding a higher educational level and being low evidence-based practice users reported significantly more missed nursing care. They also scored significantly higher on the Evidence-based Practice Capabilities Beliefs Scale. The analyses showed a limited explanation of the variance of missed nursing care and revealed that being a high user of evidence-based practice indicated less reported missed nursing care, while a higher educational level meant more reported missed nursing care.
Most missed nursing care was reported within the subscales Planning and Basic Care. Thus, nursing activities are deprioritized in comparison to medical activities. Nurses holding a higher education reported more missed nursing care, indicating that higher education entails deeper knowledge of the consequences when rationing nursing care. They also reported varied use of evidence-based practice, showing that higher education is not the only factor that matters. To decrease missed nursing care in clinical practice, and thereby increase the quality of care, educational level, use of evidence-based practice, and organizational factors must be considered.
As pharmacotherapy often leads to adverse reactions, mind–body exercise (MBE) treatments have become a more popular option for treating depression in people living with breast cancer (BC). However, the most effective type of MBE treatment for this population remains unclear.
The aim of this systematic review and network meta-analysis (NMA) was to compare the efficacy of the different MBE modes for depression in people with BC.
A systematic search for randomized controlled trials (RCTs) from inception to March 25, 2023, was conducted in the following database: EMBASE, PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang Data, China Biology Medicine, OpenGrey, and ClinicalTrials.gov. A traditional meta-analysis was conducted using the random-effects model to directly assess the effectiveness of various MBE interventions. Stata 16.0 software was used for performing the NMA.
The NMA was performed in 32 eligible RCTs including 2361 participants. The efficacy of MBE treatments on depression was ranked as the following: Liuzijue (surface under the cumulative ranking curve [SUCRA] = 95.4%) > Tai chi (SUCRA = 76.9%) > yoga (SUCRA = 55.0%) > Baduanjin (SUCRA = 53.9%) > Pilates (SUCRA = 38.6%) > dance (SUCRA = 30.2%) > Qigong (SUCRA = 28.1%) > control (SUCRA = 21.9%).
Our research showed that Liuzijue and Tai chi might be the most significantly effective MBE intervention for mitigating depression among BC survivors. Healthcare professionals could consider recommending Liuzijue and Tai Chi as a complementary therapy for BC survivors who experience depression.
Weight management is an important part of disease management in patients with heart failure. However, the effectiveness of reported weight management interventions is inconclusive.
The aim of this systematic review and meta-analysis was to assess the effects of weight management on functional status, heart failure-related hospitalizations, and all-cause mortality in patients with heart failure.
PubMed, Web of Science, Embase, and the Cochrane Library were searched on April 3, 2022. This study was registered with PROSPERO (CRD42021283817). Eligible studies assessed functional status, heart failure-related hospitalizations, and all-cause mortality in patients with heart failure. Two researchers independently screened the articles, extracted data, and evaluated the risk bias of each study. Dichotomous variables were presented as OR with a 95% confidence interval (CI). The data were analyzed using a fixed effect or random effect model, and heterogeneity was determined using I 2 statistics. All statistical analyses were conducted using RevMan 5.3.
Among 4279 studies screened, seven randomized controlled trials were included in this study. The results showed that weight management significantly improved functional status (OR = 0.15, 95% CI [0.07, 0.35], I 2 = 52%) and reduced the risk of all-cause mortality (OR = 0.54, 95% CI [0.34, 0.85], I 2 = 0%), but had no significant effect on heart failure-related hospitalizations (OR = 0.72, 95% CI [0.20, 2.66]).
Weight management has effects on improved functional status and reduced all-cause mortality in patients with heart failure. It is necessary to strengthen the weight management interventions of patients with heart failure to improve patients' functional status and reduce all-cause mortality.
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