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The aim of the study was to investigate the mediating effect of patient-reported missed care in the relationship between care dependency, adverse events, trust in nurses and satisfaction with nursing care.
A cross-sectional and correlational study.
A total of 374 patients were recruited from the medical and surgical inpatient units of two public university hospitals in Türkiye using a convenience sampling method from May to August 2022. The data were collected using the Care Dependency Scale, MISSCARE Survey-Patient, Trust in Nurses Scale and Newcastle Satisfaction with Nursing Care Scale. The relationships between the variables were analysed using a sequential mediation model (Model 6) in Hayes' PROCESS macro.
Care dependency was found to have a significant negative effect on misscare-communication; however, it had no significant effect on misscare-basic care. Misscare-communication had a significant positive effect on the experience of adverse events, while misscare-basic care had no significant effect. Misscare-communication and basic care had a significant negative effect on trust in nurses and satisfaction with nursing care. Misscare-communication was found to have a partial mediating effect on the relationship between care dependency and experiencing adverse events, trust in nurses and satisfaction with nursing care.
The results emphasize the importance of misscare-basic care, communication and patients' care dependency in improving patient outcomes such as experiencing adverse events, trust in nurses and satisfaction with nursing care, and they extend existing nursing studies by addressing missed care and care dependency together from the perspective of patients.
We urge nurse managers to consider the role of misscare in the impact of patients' level of care dependency on patient outcomes. Accordingly, nurse managers should focus first on interventions to eliminate misscare-communication. Effective interventions to address factors that impact communication and fulfilment of basic care are necessary to achieve better patient outcomes.
EQUATOR guidelines were followed using the STROBE reporting method.
No patient or public contribution. Patients only contributed to data collection. Data were obtained from patients hospitalized in the medical and surgical inpatient units of two public university hospitals.
To characterise subphenotypes of self-reported symptoms and outcomes (SRSOs) in postacute sequelae of COVID-19 (PASC).
Prospective, observational cohort study of subjects with PASC.
Academic tertiary centre from five clinical referral sources.
Adults with COVID-19 ≥20 days before enrolment and presence of any new self-reported symptoms following COVID-19.
We collected data on clinical variables and SRSOs via structured telephone interviews and performed standardised assessments with validated clinical numerical scales to capture psychological symptoms, neurocognitive functioning and cardiopulmonary function. We collected saliva and stool samples for quantification of SARS-CoV-2 RNA via quantitative PCR.
Description of PASC SRSOs burden and duration, derivation of distinct PASC subphenotypes via latent class analysis (LCA) and relationship with viral load.
We analysed baseline data for 214 individuals with a study visit at a median of 197.5 days after COVID-19 diagnosis. Participants reported ever having a median of 9/16 symptoms (IQR 6–11) after acute COVID-19, with muscle-aches, dyspnoea and headache being the most common. Fatigue, cognitive impairment and dyspnoea were experienced for a longer time. Participants had a lower burden of active symptoms (median 3 (1–6)) than those ever experienced (p
We identified three distinct PASC subphenotypes. We highlight that although most symptoms progressively resolve, specific PASC subpopulations are impacted by either high burden of constitutional symptoms or persistent olfactory/gustatory dysfunction, requiring prospective identification and targeted preventive or therapeutic interventions.
This study sought to determine the prevalence and associated factors of hepatitis B virus (HBV) infection ever in life and chronic HBV infection in Armenia.
A population-based cross-sectional seroprevalence study combined with a phone survey of tested individuals.
All administrative units of Armenia including 10 provinces and capital city Yerevan.
The study frame was the general adult population of Armenia aged ≥18 years.
The participants were tested for anti-HBV core antibodies (anti-HBc) and HBV surface antigen (HBsAg) using third-generation enzyme immunoassays. In case of HBsAg positivity, HBV DNA and hepatitis D virus (HDV) RNA PCR tests were performed. Risk factors of HBV infection ever in life (anti-HBc positivity) and chronic HBV infection (HBsAg positivity) were identified through fitting logistic regression models.
The seroprevalence study included 3838 individuals 18 years and older. Of them, 90.7% (3476 individuals) responded to the phone survey. The prevalence of anti-HBc positivity was 14.1% (95% CI 13.1% to 15.2%) and HBsAg positivity 0.8% (95% CI 0.5% to 1.1%). The viral load was over 10 000 IU/mL for 7.9% of HBsAg-positive individuals. None of the participants was positive for HDV. Risk factors for HBsAg positivity included less than secondary education (aOR=6.44; 95% CI 2.2 to 19.1), current smoking (aOR=2.56; 95% CI 1.2 to 5.6), and chronic liver disease (aOR=8.44; 95% CI 3.0 to 23.7). In addition to these, risk factors for anti-HBc positivity included age (aOR=1.04; 95% CI 1.04 to 1.05), imprisonment ever in life (aOR=2.53; 95% CI 1.41 to 4.56), and poor knowledge on infectious diseases (aOR=1.32; 95% CI 1.05 to 1.67), while living in Yerevan (vs provinces) was protective (aOR=0.74; 95% CI 0.59 to 0.93).
This study provided robust estimates of HBV markers among general population of Armenia. Its findings delineated the need to revise HBV testing and treatment strategies considering higher risk population groups, and improve population knowledge on HBV prevention.
This study had three aims: to determine the hypoglycaemic confidence levels of participants, to identify factors affecting hypoglycaemic confidence levels of participants and to assess experiences related to hypoglycaemia of participants.
The explanatory–sequential–mixed method was used in this study.
The quantitative stage included a sample of 177 people, and the qualitative stage included a sample of 18 people. Data of the study were collected between April and June 2023 with the Hypoglycemic Confidence Level Scale, Personal Information Form and Semi-Structured Interview Form. Descriptive statistics, independent samples t-test, one-way ANOVA and multiple linear regression analysis were used for quantitative data analysis. For the qualitative data analysis, content analysis was performed in the MaxQda program.
The scale items are scored between 1 and 4, and an increase in the score obtained from the scale indicates an increase in confidence levels. The mean hypoglycaemic confidence level score of the participants was 3. The data obtained in the qualitative stage were grouped under three main themes: Experiences Related to Hypoglycaemia, Reasons for Experiencing Hypoglycaemia and Managing Hypoglycaemia.
Identifying hypoglycaemic confidence levels and hypoglycaemia experiences of patients with diabetes can guide health professionals, especially nurses, in promoting person-centred care interventions.
The study discussed the hypoglycaemic confidence levels of diabetic patients and their experiences related to hypoglycaemia. The factors affecting the hypoglycaemic confidence level of the participants were educational status, income status, fear of experiencing hypoglycaemia, ability to self-administer insulin, receiving hypoglycaemia training and frequency of experiencing hypoglycaemia. The results of this study may provide guidance for the development of appropriate prevention and coping strategies for hypoglycaemia. Identifying the experiences of patients with diabetes with hypoglycaemia can guide health professionals, especially nurses, in promoting person-centred care interventions.
The Good Reporting of a Mixed Methods Study (GRAMMS) checklist was used for reporting.
No patient or public contribution.
To investigate the determinants of missed nursing care and to analyse the mediating effect of holistic nursing competence on the relationship between transition shock and missed nursing care.
Transition shock of newly graduated nurses is associated with missed nursing care. Previous studies have shown the determinants of missed nursing care among nurses, but little is known about the relationship between missed nursing care, transition shock and holistic nursing competence.
Descriptive and correlational design.
The study was conducted among newly graduated nurses (n = 201) working in acute care hospitals for 1–12 months. The MISSCARE survey, Holistic Nursing Competence Scale and Nursing Transition Shock Scale were used for data collection, in addition to a sociodemographic question form. Data were analysed using Pearson correlation, multiple regression and mediation analyses. The study was reported following the STROBE checklist.
The determinants of missed nursing care among newly graduated nurses were sex, unit type, rotating shift work, holding a certificate, holistic nursing competence and transition shock. All these variables explain 35% of the variance in missed nursing care. Holistic nursing competence directly mediated 51.7% of the relationship between transition shock and missed nursing care.
Holistic nursing competence may decrease missed nursing care by reducing the effects of transition shock on newly graduated nurses.
The study highlighted that newly graduated nurses are an important population regarding missed nursing care. The determinants of missed care should be considered in the nursing care delivery to prevent missed care by newly graduated nurses. Based on the study findings, some recommendations were made for nurse managers and faculty for the orientation program and undergraduate nursing education.
It is critical for nurses to provide healthcare services to healthy/sick individuals with a humanistic approach and with empathy.
This research aimed to determine nurses' humanistic behaviour ability, empathy levels and related factors in clinical practice.
A descriptive cross-sectional and exploratory study.
Probability sampling method was used, and 337 nurses working in two public hospitals were included in the study. Data was collected using the Humanistic Practice Ability of Nursing Scale and the Empathy Level Determination Scale. Structural equation model analysis and descriptive statistics were used to evaluate the hypothesised model. This study adhered to the STROBE checklist for reporting.
Nurses' humanistic ability and empathy level in nursing practices were found to be above average. Both the ability to act humanely in nursing practices and their empathy levels were found to be significantly higher in nurses who were married and had children. A significant relationship was found between empathy levels and humanistic behaviours. Accordingly, nurses' empathy levels positively affected their humanistic care behaviours, and the model established between the two concepts was found to be statistically appropriate.
Nurses' empathy levels positively affect their ability to act humanistically. The result of the model established between the two concepts also supports this. Care strategies should be developed that consider factors that will improve empathetic and humanistic behaviours in nurses and maximise individualised care practices.
Increasing the awareness of nurses about the factors affecting humanistic behaviours and empathic attitudes while caring for individuals in clinical practice, will contribute to improving the quality of nursing care.
Diabetic foot ulcers can have vital consequences, such as amputation for patients. The primary purpose of this study is to predict the amputation risk of diabetic foot patients using machine-learning classification algorithms. In this research, 407 patients treated with the diagnosis of diabetic foot between January 2009–September 2019 in Istanbul University Faculty of Medicine in the Department of Undersea and Hyperbaric Medicine were retrospectively evaluated. Principal Component Analysis (PCA) was used to identify the key features associated with the amputation risk in diabetic foot patients within the dataset. Thus, various prediction/classification models were created to predict the “overall” risk of diabetic foot patients. Predictive machine-learning models were created using various algorithms. Additionally to optimize the hyperparameters of the Random Forest Algorithm (RF), experimental use of Bayesian Optimization (BO) has been employed. The sub-dimension data set comprising categorical and numerical values was subjected to a feature selection procedure. Among all the algorithms tested under the defined experimental conditions, the BO-optimized “RF” based on the hybrid approach (PCA-RF-BO) and “Logistic Regression” algorithms demonstrated superior performance with 85% and 90% test accuracies, respectively. In conclusion, our findings would serve as an essential benchmark, offering valuable guidance in reducing such hazards.
This study aimed at determining the perception of fatigue among patients with a history of the coronavirus disease (COVID-19).
Fatigue is a long-lasting distressing symptom. It is a multidimensional symptom consisting of several factors, including physiological, psychological, social and environmental. It is vital to examine and understand the perception of fatigue among post-COVID-19 participants.
A descriptive phenomenological design.
The study sample consisted of 14 post-COVID-19 participants that were recruited using criterion sampling. The fatigue levels of the participants were determined using the Chalder Fatigue Scale (CFS), and those with a fatigue score above 12 were interviewed. All the interviews were conducted with a smartphone due to the COVID-19. The COnsolidated criteria for REporting Qualitative research (COREQ) checklist was used.
The age of the participants varied from 24 to 67 years, with the majority of the participants being female (n = 8). The COVID-19 duration ranged from one to 11 months, and the CFS scores varied between 14 and 33. Four themes emerged following the qualitative data analysis: a new symptom beyond fatigue, fatigue increases dependency in daily life, fatigue impedes sociability and a way to hold on to life's regular rhythms.
This study concluded that fatigue in post-COVID-19 participants is a new experience that is difficult to define and manage and overwhelmingly affects the physical and social aspects of life. Participants look for new ways to live with fatigue and turn to traditional methods and psychosocial strategies.
This study revealed the miscellaneous aspects of fatigue in post-COVID-19 participants. Nurses should evaluate fatigue with a holistic approach that includes its physical, social, emotional and spiritual aspects. Nurses can play an active role in the management of fatigue, which is a very common symptom in the COVID-19 pandemic.
Amputations related to diabetic foot ulcers (DFU) are associated with high morbidity and mortality rates. Glycaemic control and close follow-up protocols are essential to prevent such ulcers. Coronavirus disease (COVID) related restrictions and regulations might have a negative impact on patients who are with DFU or candidates for DFU. We retrospectively analysed 126 cases that had DFU underwent amputation surgery. Comparative analyses were done between cases that were admitted before COVID restrictions (Group A) and cases admitted after COVID restrictions (Group B). Two groups were homogenic demographically. There was no significant difference between groups in terms of mortality (p = 0.239) and amputation rates (p = 0.461). The number of emergent cases in the pandemic period doubled the number in pre-pandemic period even though this finding was not statistically significant (p = 0.112). Fastly adapted consulting practice and follow-up protocols to compensate for the problems created by COVID-related regulations seem to be effective in terms of mortality and amputation rates.
To describe nurses’ and specialist nurses’ experiences of moral distress and how it affects daily work in surgical care.
A qualitative descriptive study design was used.
A qualitative study with 12 interviews with nurses and specialist nurses working in surgical care. All interviews were conducted during October and November 2022 in two hospitals in southeastern Sweden. Data were analysed using conventional qualitative content analysis.
Three categories and seven subcategories generated from the data analysis. The three categories generated from the analysis were Experiences that lead to moral distress, Perceived consequences of moral distress and Strategies in case of moral distress. The results show that a lack of personnel in combination with people with complex surgical needs is the main source of moral distress. Both high demands on nurses as individuals and the teamwork are factors that generate moral distress and can have severe consequences for the safety of patients, individual nurses and future care.
The results show that moral distress is a problem for today's nurses and specialist nurses in surgical care. Action is necessary to prevent nurses from leaving surgical care. Prioritizing tasks is perceived as challenging for the profession, and moral distress can pose a patient safety risk.
Surgical care departments should design support structures for nurses, give nurses an authentic voice to express ethical concerns and allow them to practice surgical nursing in a way that does not violate their core professional values. Healthcare organizations should take this seriously and work strategically to make the nursing profession more attractive.
There was no patient or public contribution.
This study aimed to evaluate the effect of virtual reality simulation in nursing education in five domains: knowledge, skill performance, self-confidence, self-efficacy, and satisfaction. Randomized controlled trials were obtained from the databases SCOPUS, Web of Science, PubMed, and EBSCO from inception until September 2021. The standardized mean differences with 95% confidence intervals were determined for the main variables, and heterogeneity was analyzed using the I2 test. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Checklist was used. Meta-analysis was performed using the Stata 15.0 software. Among the 2074 records identified, 18 trials were included. The meta-analysis of these trials indicated that virtual reality simulation caused a significant improvement in knowledge with a moderate effect, skill performance with a moderate effect, and satisfaction with a moderate effect compared with the control group. However, virtual reality simulation did not significantly influence self-confidence and self-efficiency. The findings of this study suggested that virtual reality simulation might significantly benefit knowledge, skill performance, and satisfaction but not self-confidence and self-efficiency. Further well-designed randomized controlled trials with a larger sample size are recommended to confirm these findings. 
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