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Pregnancy can cause stress for couples, potentially leading to anxiety. However, most studies on antepartum anxiety focus on expectant mothers, ignoring the expectant fathers and the stress transmission between couples. We aim to examine the mediation of dyadic coping between antepartum anxiety and stress in expectant mothers and fathers.
We implemented a cross-sectional study in Guangzhou, China, from October 2023 to January 2024.
Three-hundred and twenty-nine Chinese pregnant couples completed the Perceived Stress Scale, the Dyadic Coping Inventory, and the State–Trait Anxiety Inventory. The actor-partner interdependence mediation model was used for data analysis.
Expectant mothers experienced antepartum anxiety symptoms at a rate of 42.6%, while the rate for expectant fathers was 32.5%. Regarding the actor effects, stress was positively associated with antepartum anxiety in expectant mothers (β = 0.66, 95% confidence interval CI [0.56, 0.74]) and fathers (β = 0.58, 95% CI [0.42, 0.70]), with dyadic coping acting as a mediator (expectant mothers: β = 0.08, 95% CI [0.03, 0.14]; fathers: β = 0.11, 95% CI [0.04, 0.19]). Regarding the partner effects, maternal dyadic coping was positively associated with paternal stress (β = 0.10, 95% CI [0.01, 0.19]).
The study highlights the interplay of stress, dyadic coping, and antepartum anxiety in expectant mothers and fathers, emphasizing the need to assess their antepartum anxiety and implement couple-centered interventions to enhance their psychological well-being during the first trimester of pregnancy.
This study highlights the importance of assessing antepartum anxiety in both expectant mothers and fathers, emphasizing the mediation of dyadic coping in reducing stress and anxiety. The findings support the integration of couple-centered mental health interventions into routine antepartum care to enhance psychological well-being during pregnancy.
Global organizations have pronounced about the importance of involving people in health care, however, this process is challenging. Given the availability of evidence that addresses people's experiences of involvement in nursing care, it is important to produce recommendations at this point by synthesizing the evidence. So, this review aims to synthesize the available qualitative evidence about people's experiences of their involvement in nursing care in a hospital setting.
Systematic review of qualitative evidence.
This systematic review was conducted according to the JBI methodology for systematic reviews of qualitative evidence. A comprehensive search strategy was conducted in nine databases/resources. The selection process, methodological quality assessment, and data extraction were conducted independently by two reviewers. The data were synthesized using the meta-aggregation approach, and the results were graded according to ConQual.
A total of 75 findings and 141 illustrations were extracted from the 15 included studies. These findings were aggregated into 12 categories and generated into three synthesized findings: (1) People who are hospitalized conceptualize and attribute importance to involvement in nursing care as an active process of participation and monitoring of care, decision-making, opinion, and partnership; (2) The establishment of a relationship between hospitalized people and nurses, trust, communication, and information are essential for participation in care; (3) People's participation in care is affected by the person's own constraints and preference for assuming a passive role, by barriers associated with a lack of information, the organization of care, the relationship established between nurses, and paternalistic attitudes.
People who were admitted to hospital conceptualized and attached importance to this phenomenon, perceived the conditions necessary to promote it, and the barriers they experienced.
This systematic review provides recommendations for nurses' clinical practice (with grade B). It recommends that nurses should establish a partnership relationship with hospitalized people, through trust, communication and information; give people the opportunity to monitor care, participate in decision-making and give their opinion; assess the person's preferences for involvement and other factors; and that the barriers to this process identified here should be assessed and addressed in each context. As such, this review provides very valuable information for nurses' clinical practice and should also be incorporated into health policy.
Protocol Registration: PROSPERO CRD42024506501.
To describe the development and implementation of evidence-based teaching strategies for assessing and classifying pressure injuries in older nursing home individuals ≥ 60 years old with darker skin tones.
Pressure injury assessment learning interventions based on pre- and post-test assessments.
The learning interventions were developed by experts in pressure injury education and were based on empirical evidence, international clinical practice guidelines, and underpinned by social constructivism theory and the integrated interactive teaching model. The teaching strategy was developed to educate research assistants in the assessment of pressure injuries in darker skin tone individuals. The content included requisite knowledge and skills for pressure injury assessment and classification in darker skinned individuals. Using evidence-based teaching strategies, the content was delivered through face-to-face lectures, small group discussions, and practical application sessions delivered using classroom and practical-based activities. Photographic images were used to assess their knowledge and skills in classifying pressure injuries. Four Bachelor of Nursing-qualified registered nurses in Sri Lanka were recruited as research assistants using the new education resource. Using scores from 1 to 20 points, mastery of the theory and practice components was assessed.
The mean pre-test score was 9 ± 1.6 (95% confidence interval 6.4–11.6), demonstrating that assessment and classification of pressure injury knowledge were lacking. The mean post-test score was 16 ± 0.8 (95% confidence interval 14.7–17.3) indicating an improvement in the participants' ability to assess and staging pressure injuries.
Early pressure injury detection among older individuals with darker skin tones is challenging. This evidence-based teaching approach can be used to educate clinical nurses and research assistants in assessing pressure injuries in individuals with darker skin tones.
This study contributes to the body of knowledge by improving the early detection and accurate classification of pressure injuries in older nursing home residents with darker skin tones, addressing a significant gap in current nursing practice.
Little is known about the range and frequency of symptoms among older adult home healthcare patients with urinary incontinence, as this information is predominantly contained in clinical notes. Natural language processing can uncover symptom information among older adults with urinary incontinence to promote holistic, equitable care.
We conducted a secondary analysis of cross-sectional data collected between January 1, 2015, and December 31, 2017, from the largest HHC agency in the Northeastern United States. We aimed to develop and test a natural language processing algorithm to extract symptom information from clinical notes for older adults with urinary incontinence and analyze differences in symptom documentation by race or ethnicity.
Symptoms were identified through expert clinician-driven Delphi survey rounds. We developed a natural language processing algorithm for symptom identification in clinical notes, examined symptom documentation frequencies, and analyzed differences in symptom documentation by race or ethnicity using chi-squared tests and logistic regression models.
In total, 39,179 home healthcare episodes containing 1,098,419 clinical notes for 29,981 distinct patients were included. Nearly 40% of the sample represented racially or ethnically minoritized groups (i.e., 18% Black, 14% Hispanic, 7% Asian/Pacific Islander, 0.3% multi-racial, and 0.2% Native American). Based on expert clinician-driven Delphi survey rounds, the following symptoms were identified: anxiety, dizziness, constipation, syncope, tachycardia, urinary frequency/urgency, urinary hesitancy/retention, and vision impairment/blurred vision. The natural language processing algorithm achieved excellent performance (average precision of 0.92). Approximately 29% of home healthcare episodes had symptom information documented. Compared to home healthcare episodes for White patients, home healthcare episodes for Asian/Pacific Islander (odds ratio = 0.74, 95% confidence interval [0.67–0.80], p < 0.001), Black (odds ratio = 0.69, 95% confidence interval [0.64–0.73], p < 0.001), and Hispanic (odds ratio = 0.91, 95% confidence interval [0.85–0.97], p < 0.01) patients were less likely to have any symptoms documented in clinical notes.
We found multidimensional symptoms and differences in symptom documentation among a diverse cohort of older adults with urinary incontinence, underscoring the need for comprehensive assessments by clinicians. Future research should apply natural language processing to other data sources and investigate symptom clusters to inform holistic care strategies for diverse populations.
Knowledge of symptoms of older adult home healthcare patients with urinary incontinence can facilitate comprehensive assessments, health equity, and improved outcomes.
The healthcare industry increasingly values high-quality and personalized care. Patients with heart failure (HF) receiving home health care (HHC) often experience hospitalizations due to worsening symptoms and comorbidities. Therefore, close symptom monitoring and timely intervention based on risk prediction could help HHC clinicians prevent emergency department (ED) visits and hospitalizations. This study aims to (1) describe important variables associated with a higher risk of ED visits and hospitalizations in HF patients receiving HHC; (2) map data requirements of a clinical decision support (CDS) tool to the exchangeable data standard for integrating a CDS tool into the care of patients with HF; (3) outline a pipeline for developing a real-time artificial intelligence (AI)-based CDS tool.
We used patient data from a large HHC organization in the Northeastern US to determine the factors that can predict ED visits and hospitalizations among patients with HF in HHC (9362 patients in 12,223 care episodes). We examined vital signs, HHC visit details (e.g., the purpose of the visit), and clinical note–derived variables. The study identified critical factors that can predict ED visits and hospitalizations and used these findings to suggest a practical CDS tool for nurses. The tool's proposed design includes a system that can analyze data quickly to offer timely advice to healthcare clinicians.
Our research showed that the length of time since a patient was admitted to HHC and how recently they have shown symptoms of HF were significant factors predicting an adverse event. Additionally, we found this information from the last few HHC visits before the occurrence of an ED visit or hospitalization were particularly important in the prediction. One hundred percent of clinical demographic profiles from the Outcome and Assessment Information Set variables were mapped to the exchangeable data standard, while natural language processing–driven variables couldn't be mapped due to their nature, as they are generated from unstructured data. The suggested CDS tool alerts nurses about newly emerging or rising risks, helping them make informed decisions.
This study discusses the creation of a time-series risk prediction model and its potential CDS applications within HHC, aiming to enhance patient outcomes, streamline resource utilization, and improve the quality of care for individuals with HF.
This study provides a detailed plan for a CDS tool that uses the latest AI technology designed to aid nurses in their day-to-day HHC service. Our proposed CDS tool includes an alert system that serves as a guard rail to prevent ED visits and hospitalizations. This tool can potentially improve how nurses make decisions and improve patient outcomes by providing early warnings about ED visits and hospitalizations.
To measure the prevalence and incidence of nursing home-acquired pressure injuries in older adults residing in Sri Lankan nursing homes.
Pressure injury prevalence and incidence are indicators of safety and quality of care. A significant portion of the global population has a skin color dominated by the presence of melanin. Yet, the number of nursing home residents with darker skin tones who develop pressure injuries in nursing homes is relatively unknown.
Prospective multisite cohort study conducted in nine nursing homes in Sri Lanka. The sample comprised 210 residents aged ≥60 years old.
Semi structured observations and chart audits were used to gather data from July to October 2023. Head-to-toe visual skin assessment to check for nursing home- acquired pressure injuries, Braden pressure injury risk scale and Fitzpatrick skin tone assessments were conducted on all recruited residents at baseline. All recruited residents were followed-up weekly for 12 weeks until detection of a new pressure injury, death, discharge, or transfer.
Pressure injury point prevalence at baseline was 8.1% (17/210). Cumulative incidence was 17.1% (36/210). Incidence density was 15.8 per 1000 resident weeks. Most nursing home-acquired pressure injuries were located on the ankle at baseline (29.4%; 5/17) and in the follow-up period (27.8%; 10/36). Stage I pressure injuries were most common: 58.8% (10/17) and 44.4% (16/36) at baseline and during follow-up respectively.
About one in six nursing home residents developed a new pressure injury over the 12-week follow-up period. Despite staff and resource constraints, there remains a need to focus on the prevention of pressure injuries in Sri Lankan nursing homes.
Studies on the burden of pressure injuries among darker skin tone nursing home residents are lacking and the current evidence available are predominantly from Western countries. The findings of this study highlight the need of targeted preventive measures for nursing home residents with darker skin tones.
Family engagement in care has been advocated to promote recovery for patients with mental health conditions. Attitudes of mental health nurses toward the importance of families influence the way they partner with families in mental healthcare. However, little is known about how mental health nurses engage with families and quality of family-centered care (FCC) perceived by patients and caregivers. The study aimed to examine the mediating effect of family nursing practice on the association between mental health nurses' attitudes toward integrating families into care and quality of FCC perceived by patients with schizophrenia and caregivers.
A cross-sectional study was conducted.
A convenience sample of 143 dyads of patients with schizophrenia and their caregivers and 109 mental health nurses were recruited from inpatient wards at two psychiatric hospitals in Taiwan. Demographic and clinical questionnaires, Families' Importance in Nursing Care-Nurses' Attitudes scale, Family Nursing Practice Scale, and Measure of Process of Care for Adults were used to collect data. Data were analyzed using descriptive statistics, independent-sample t-tests, one-way analysis of variance, Pearson correlation coefficients, paired-sample t-tests, and intraclass correlation coefficient (ICC). Mediation analyses were performed using Hayes' PROCESS macro in SPSS (Model 4) with bootstrapping.
Mental health nurses exhibited supportive attitudes toward integrating families into care (Mean = 98.96) and greater perceptions of family nursing practice (Mean = 2.44). The concordances between patients and caregivers on perceived quality of family-centered care were significant (ICC = 0.63–0.77). Attitudes of mental health nurses toward integrating families into care had both the total and direct effects on all domains of quality of FCC perceived by patients and caregivers, respectively. The indirect effects of mental health nurses' attitudes toward integrating families into care on aspects of quality of FCC through family nursing practice were significant for patients (95% bias-corrected bootstrap CI of 0.015–0.053) and caregivers (95% bias-corrected bootstrap CI of 0.004–0.041). The magnitude of the indirect effects was medium to large for patients (ES = 0.209–0.257) and caregivers (ES = 0.148–0.221).
Family nursing practice partially mediated the association between mental health nurses' attitudes toward integrating families into care and aspects of quality of FCC from perspectives of patients and caregivers.
Interventions tailoring mental health nurses' practice skills and reciprocity with families have the potential to enhance supportive attitudes of mental health nurses toward working with families and further improve perceived quality of FCC in patient-caregiver dyads in mental healthcare practice.
Common goals for procedural sedation are to control pain and ensure the patient is not moving to an extent that is impeding safe progress or completion of the procedure. Clinicians perform regular assessments of the adequacy of procedural sedation in accordance with these goals to inform their decision-making around sedation titration and also for documentation of the care provided. Natural language processing could be applied to real-time transcriptions of audio recordings made during procedures in order to classify sedation states that involve movement and pain, which could then be integrated into clinical documentation systems. The aim of this study was to determine whether natural language processing algorithms will work with sufficient accuracy to detect sedation states during procedural sedation.
A prospective observational study was conducted.
Audio recordings from consenting participants undergoing elective procedures performed in the interventional radiology suite at a large academic hospital were transcribed using an automated speech recognition model. Sentences of transcribed text were used to train and evaluate several different NLP pipelines for a text classification task. The NLP pipelines we evaluated included a simple Bag-of-Words (BOW) model, an ensemble architecture combining a linear BOW model and a “token-to-vector” (Tok2Vec) component, and a transformer-based architecture using the RoBERTa pre-trained model.
A total of 15,936 sentences from transcriptions of 82 procedures was included in the analysis. The RoBERTa model achieved the highest performance among the three models with an area under the ROC curve (AUC-ROC) of 0.97, an F1 score of 0.87, a precision of 0.86, and a recall of 0.89. The Ensemble model showed a similarly high AUC-ROC of 0.96, but lower F1 score of 0.79, precision of 0.83, and recall of 0.77. The BOW approach achieved an AUC-ROC of 0.97 and the F1 score was 0.7, precision was 0.83 and recall was 0.66.
The transformer-based architecture using the RoBERTa pre-trained model achieved the best classification performance. Further research is required to confirm the that this natural language processing pipeline can accurately perform text classifications with real-time audio data to allow for automated sedation state assessments.
Automating sedation state assessments using natural language processing pipelines would allow for more timely documentation of the care received by sedated patients, and, at the same time, decrease documentation burden for clinicians. Downstream applications can also be generated from the classifications, including for example real-time visualizations of sedation state, which may facilitate improved communication of the adequacy of the sedation between clinicians, who may be performing supervision remotely. Also, accumulation of sedation state assessments from multiple procedures may reveal insights into the efficacy of particular sedative medications or identify procedures where the current approach for sedation and analgesia is not optimal (i.e. a significant amount of time spent in “pain” or “movement” sedation states).
In response to the aging population, the Department for Professional Development in the Nursing Division at the Israeli Ministry of Health has invested significant resources in training registered nurses for post-basic certification in the field of geriatrics. However, little is known about how the nurses implement the scope of practice in the field and how they maximize their full potential following the training.
To assess whether nurses' full potential is maximized in geriatric acute and long-term geriatric care, and community settings in Israel.
A quantitative, cross-sectional study.
The study population is a convenience sample of registered nurses who completed post-basic certification in geriatric care (n = 287). The participants completed a self-administered questionnaire addressing socio-demographic and occupational characteristics, implementation of the scope of practice, and a professional satisfaction questionnaire.
Baseline demographic variables were summarized using means and counts, with frequency counts and percentages used for the scope of practice. A one-way ANOVA was utilized to examine the differences between the workplace and the scope of practice. Chi-square was used to examine practice types and the workplace.
Nurses in all surveyed geriatric settings reported average to high overall performance in independent decision-making activities and delegated duties. The majority (66%) reported very high satisfaction with the completion of the post basic certification education However overall performance differed significantly between the different geriatric settings.
Most of the nurses with a post-basic geriatric certification are satisfied with their scope of practice, feel valued by colleagues and managers, and are able to practice independently within their professional scope. This can have a positive impact on the care of the older adult population.
Administrators should ensure that nurses with a post-basic geriatric certification are able to maximize their scope of practice. Specifically, we recommend nurse managers to leverage the results of this study and advocate for nurses to fulfill their full potential in their scope of practice.
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