Nursing Practice Today

Fiduciary duty in error reporting

2025-04-20T11:43:17+00:00

The Article Abstract is not available

Prioritizing just culture: A call to action for patient safety

2025-04-20T11:43:44+00:00

The Article Abstract is not available.

Factors related to depression among transgender women: A systematic review

2025-04-20T11:44:05+00:00

Background & Aim: Transgender women represent a vulnerable population with a high rate of depression. This systematic review aims to identify and analyze the factors associated with depression in this population.

Methods & Materials: The research protocol was registered with PROSPERO. A systematic search was conducted using PubMed, MEDLINE, Scopus, and ProQuest for studies published between 2014 and 2024. Relevant studies focusing on depression and related factors in transgender women were selected. Data extraction focused on identified factors associated with depression. The reporting of this review adhered to PRISMA guidelines, and the quality of included studies was appraised using JBI’s critical appraisal tools. A narrative synthesis was conducted to synthesize the findings.

Results: From 2,511 records identified in the database, 14 cross-sectional studies were included in the review. The analysis revealed three primary categories of factors related to depression: demographic, psychological, and sociological factors. Key demographic factors included age and insufficient income, both of which were at increased risk of depression. Psychological factors such as self-stigma and self-esteem were associated with higher depression rates. Sociological factors, including family support, peer support, and violence, were also significant predictors of depression in transgender women.

Conclusion: Depression in transgender women is influenced by a complex interaction of demographic, psychological, and sociological factors. These findings underscore the need for tailored nursing interventions that incorporate mental health support.

The effect of pro-self-pain control and its plus guided imagery on pain in breast cancer outpatients: A quasi-experimental study

2025-04-20T11:44:30+00:00

Background & Aim: Globally and in Indonesia, the number of people with breast cancer is still rising, and one of the most commonly reported symptoms is pain. After hospitalization, patients continue their lives at home, and most receive care in an outpatient setting. In this setting, they voluntarily need to be able to manage their pain. Therefore, teaching and assisting patients in self-management is essential for adequate pain management. This study aims to determine the effect of pro-self-pain control and guided imagery interventions on reducing pain intensity in outpatient breast cancer.

Methods & Materials: A quasi-experimental design, using convenience sampling on 49 patients, and allocated into an intervention group (n=25) that received pro-self-pain control and guided imagery intervention and a control group as a comparison (n=24) that received pro-self-pain control only. Pain intensity in both groups was measured before the experiment and ten days after using the Numeric Rating Scale.

Results: The results showed that there was a significant decrease in pain intensity in the intervention group p<0.001. The control group also experienced a decrease in pain intensity, but not significant p=0.212. Before the intervention, both groups showed no significant difference (p=0.872). However, after the intervention, the difference test between the two groups showed a significant difference with a p=0.004 and a small effect size (d=0.40).

Conclusion: The combination intervention of Pro-self-pain control and guided imagery (with audio recordings) effectively reduces pain intensity, although the effect size produced tends to be small. In caring for cancer patients, it is recommended to improve health education regarding pain management, thereby enabling them to self-manage their pain and participate actively in controlling it.

AI-driven fall risk prediction in inpatients: Development, validation, and comparative evaluation

2025-04-20T11:45:04+00:00

Background & Aim: Falls among hospitalized patients pose severe consequences, necessitating accurate risk prediction. Traditional assessment tools rely on cross-sectional data and lack dynamic analysis, limiting clinical applicability. This study developed an AI-based fall risk prediction model using supervised learning techniques to enhance predictive accuracy and clinical integration.

Methods & Materials: This study was conducted at a medical center in Taiwan, excluding pediatric patients due to non-disease-related fall factors. Fall cases were obtained from hospital records, and non-fall cases were stratified based on age and gender to create a balanced 1:1 dataset.

A total of 52 predictive variables were identified and refined to 39 through expert review. The AI model was compared with MORSE, STRATIFY, and HII-FRM using supervised learning with 10-fold cross-validation. Performance was evaluated based on accuracy, sensitivity, and specificity.

Results: The results demonstrated that the AI-based model significantly outperformed traditional fall risk assessment tools in accuracy, sensitivity, and specificity. More importantly, the model’s superior predictive power allows for real-time risk assessment and seamless integration into clinical decision support systems. This integration can enable timely interventions, optimize patient safety protocols, and ultimately reduce fall-related incidents in hospitalized settings.

Conclusion: By automating risk assessment, the AI model can alleviate the workload of healthcare professionals, reducing the time required for manual evaluations and minimizing subjective biases in clinical decision-making. This not only enhances operational efficiency but also allows nursing staff to allocate more time to direct patient care. These findings underscore the transformative potential of AI-driven approaches in healthcare, improving patient safety through data-driven.

Prevalence and reasons for the occurrence of missed nursing care in medical and surgical departments: A cross-sectional study

2025-04-20T11:45:37+00:00

Background & Aim: Missed care is a serious problem in healthcare. This study aimed to measure the prevalence of missed nursing care and determine the reasons and risk factors for its occurrence in surgical and medical departments.

Methods & Materials: A cross-sectional design was used. All registered nurses who had worked for more than six months were included. The MISSEDCARE survey tool was used to determine missed nursing care (Part A) and the reasons for its occurrence (Part B). Logistic regression was used to determine risk factors for missed nursing care. The significance level was set at p<0.05.

Results: A total of 165 nurses were included. The response rate was 81.2%. The prevalence of missing nursing care ranged from 4.8% to 84.8%. Nurses with a high turnover intention had a great risk of the following missed nursing care: ‘medications administered within 30 min before or after the scheduled time’ [OR=11.60, CI 95%: 3.76-35.75; p<0.0001], ‘assess the effectiveness of medications’ [OR=3.79, CI 95%: 1.79-8.04; p<0.0001]. Urgent patient situations were the main reasons for missing patient-specific reassessment to verify improvement or deterioration during the shift [OR=6.82, CI 95%:1.84-25.26; p =0.008] and assess the effectiveness of medications.

Conclusions: This study showed a high prevalence of missed nursing care in surgical and medical departments. Urgent patient situations and unexpected increases in patient volume and acuity in the unit increased the reasons for missed nursing care. Nursing managers can promote the adoption of care models such as Primary nursing to reduce and manage missed nursing care

Exploring community nurses` experiences on the decentralization of non-communicable diseases care in the Lubombo region, Eswatini

2025-04-20T11:46:08+00:00

Background and Aim: Non-Communicable Diseases (NCDs) remain a global challenge. The primary healthcare has been identified as a vital aspect of the healthcare system that will assist in addressing the burden of NCDs in low and middle-income countries. As such, the Eswatini Ministry of Health-NCD program had embarked on the decentralization of NCDs` services to primary healthcare facilities. This initiative called for nurses to deliver NCD treatment services in primary healthcare facilities. However, the experiences of community nurses about this initiative have not been explored. Therefore, this study explored and described the community nurses` experiences with decentralizing care for NCDs in the Lubombo Region of Eswatini.

Methods and Materials: A descriptive qualitative study design approach was used to explore and describe the experiences of ten purposively sampled community nurses. Data was collected through audio-recorded face-to-face interviews using a semi-structured interview guide. Data was subjected to thematic analysis using Colaizzi’s descriptive method of data analysis.

Results: Three themes emerged from the study findings; 1) Decentralising NCD care is a good move by the Government, 2) Challenges brought by the decentralization of NCD services, and 3) Nurses’ perceived support needs in managing NCDs at clinics.

Conclusion: Community nurses applauded the government`s move to decentralized NCD services even though they viewed rural clinics as not well prepared to offer NCD services due to the challenges faced. There is a need for more support for rural clinics regarding human resources

Relationship job embeddedness to turnover intention among nurses: A cross-sectional, correlational study

2025-04-20T11:46:36+00:00

Background & Aim: Given the high turnover rate among nursing staff, contemporary healthcare facilities are experiencing an increasing demand for nurses. Retaining nursing personnel is crucial for ensuring patient safety and preventing malpractice. Job embeddedness has emerged as a key determinant in employee retention. This study examined the relationship between job embeddedness and nurses' turnover intentions.

Methods & Materials: This descriptive-analytic study included 242 nurses from hospitals affiliated with Zahedan University of Medical Sciences, Iran. Participants were selected through stratified random sampling. Data were collected using a demographic questionnaire, the Global Job Embeddedness Scale, and a turnover intention questionnaire. The data were analyzed using independent t-tests, Pearson correlation coefficients, and ANOVA.

Results: The mean turnover intention score was relatively high, particularly in the organizational (M±SD= 3.3±0.7) and professional (M±SD= 3±0.8) dimensions. The mean score for job embeddedness was above average (M±SD= 2.8±0.9). The Pearson correlation coefficient analysis revealed a significant negative correlation between job embeddedness and turnover intentions among nurses (r = -0.3, p<0.001).

Conclusion: The study concluded that higher levels of job embeddedness are associated with a lower intention to leave the profession. By enhancing and maintaining job embeddedness among nurses, it is possible to reduce turnover rates, ultimately contributing to improved patient care.

Challenges and barriers to noncommunicable disease management at community health centers in South Sumatera Province, Indonesia: A qualitative study

2025-04-20T11:46:57+00:00

Background & Aim: Noncommunicable diseases (NCDs) are the leading cause of morbidity and mortality worldwide, heavily impacting low and middle-income countries like Indonesia. Community Health Centers (CHCs) play a critical role in providing healthcare, including NCD management, but they face significant challenges. This study explores the challenges and barriers to NCD management at CHCs in South Sumatra Province, Indonesia.

Methods & Materials: To gain an in-depth understanding of healthcare workers’ management of NCDs, an exploratory content analysis approach was employed. Data were collected through semi-structured interviews with 12 health workers, including nurses, doctors, midwives, and public health workers. Content analysis was used for data analysis.

Results: The content analysis identified five themes: Resource constraints in primary healthcare, lack of effective interprofessional collaboration, social and cultural issues; work area coverage, and government policy and support.

Conclusion: These findings highlight the complex challenges faced by CHCs. Addressing them requires a comprehensive strategy to enhance NCD care and primary healthcare services. Policymakers and health system managers can use these insights to develop targeted interventions. Further research is recommended to assess the effectiveness of specific strategies in overcoming these barriers in low-resource settings

Comparison effect of lavender oil inhalation and tea on sleep quality, fatigue, and pain in hemodialysis patients: A randomized clinical trial

2025-04-20T11:47:47+00:00

Background & Aim: The pain of needle insertion in arteriovenous fistula, fatigue, and sleep disturbances are common problems in hemodialysis patients. Using lavender products can help reduce these problems. This study aimed to compare the effects of lavender aromatherapy and lavender tea consumption on reducing pain and fatigue, as well as improving sleep quality in hemodialysis patients.

Methods & Materials: This study is an open-label trial conducted at the Dialysis Center at Tabriz University of Medical Science from May to December 2022. Random allocation was done by randomizing the moved blocks. hemodialysis patients were allocated to one of the three study groups: control (n=30), lavender inhalation (n=30), and lavender tea (n=30). At the baseline and the end of the study, Participants' sleep quality with PSQI, fatigue with FSS, and pain of needle insertion in arteriovenous fistula with Vas scale were assessed. The data analysis was performed using SPSS software The Analysis of covariance (ANCOVA) test was used to compare the mean of variables between the study groups.

Results: A comparison of the follow-up scores between 3 groups shows that participants in the lavender tea group and lavender aromatherapy group had a lower score of total score of PSQI (P<0.001), fatigue (P<0.001), and pain(P<0.001) following the intervention compared to the control group. Also, there was no statistically significant difference between the lavender tea group and the lavender aromatherapy group in terms of sleep quality scores (P=0.428), fatigue (P=0.570), and pain (P=0.997).

Conclusion: The findings of this study showed that lavender can be useful in improving the problems of dialysis patients, such as sleep quality, fatigue, and pain caused by needle insertion.