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Nurse-reported missed care (NRMC) is considered as any significant delay or omission in provision of nursing care.
(i) Evaluate the frequency, types, and reasons for NRMC in the Post-anesthesia Care Unit (PACU). (ii) Evaluate associations between nurse demographic and workload factors with NRMC. (iii) Explore nurses' perception of NRMC in the PACU.
A cross-sectional study was conducted in the PACU in a tertiary acute care hospital over 3 months. Full-time PACU nurses were conveniently sampled to complete an anonymous survey after their daily shift over different shifts. It contained three sections: (i) nurse demographics; (ii) elements of NRMC; and (iii) reasons for NRMC. Qualitative interviews employed a semi-structured guide to explore perceptions and experiences of NRMC. Descriptive, inferential statistics, and thematic analyses were applied.
Sixty-six survey responses were collected. 48.5% of respondents indicated at least one NRMC activity. Activities more clinically sensitive were less missed. Eight nurses were interviewed. Four main themes were identified: (i) communication with patients; (ii) communication and teamwork with colleagues; (iii) dual role of documentation; and (iv) staffing inadequacy. Language barriers made communication challenging. Staff shortage exacerbates workload but effective teamwork and documentation facilitates nursing care.
Communication and staffing concerns aggravate NRMC. Teamwork and personal contentment were satisfactory. Nurses' turnover intention may worsen staffing.
Timeliness and quality of nursing care is impacted by elements such as manpower, allocation of resources, work processes, and workplace environmental or interpersonal factors such as culture and language fit. Re-evaluation of nursing resources and work processes may assist post-anesthesia care unit nurses in fulfilling their role, decreasing the prevalence of nurse-reported missed care.
To understand the status quo of multiprofessional and multidisciplinary collaboration for early mobilization of mechanically ventilated patients in Chinese ICUs and identify any factors that may influence this practice.
A multi-centre cross-sectional survey.
From October to November 2022, the convenience sampling method was used to select ICU multiprofessional and multidisciplinary early mobility members (including physicians, nurses and physiotherapists) from 27 tertiary general hospitals in 14 provinces, cities and autonomous regions of China. They were asked to complete an author-developed questionnaire on the status of collaboration and the Assessment of Inter-professional Team Collaboration Scale. A multiple linear regression model was used to analyse the factors associated with the level of collaboration.
Physicians, nurses and physiotherapists mostly suffered from the lack of normative protocols, unclear division of responsibilities and unclear multiprofessional and multidisciplinary teams when using a collaborative approach to early activities. Multiple linear regression analysis showed that the number of ICU patients managed, the existence of norms and processes, the attitude of colleagues around them, the establishment of a team, communication methods and activity leaders were significant influences on the level of collaboration among members of the multiprofessional and multidisciplinary early activities.
The collaboration of multiprofessional and multidisciplinary early activity members for mechanically ventilated patients in the ICU remains unclear, and the collaboration strategy needs to be constructed and improved, taking into account China's human resources and each region's economic development level.
This study investigates the collaboration status of multiprofessional and multidisciplinary activity members from the perspective of teamwork, analyses the reasons affecting the level of collaboration and helps to develop better teamwork strategies to facilitate the implementation of early activities.
The participants in this study were multiprofessional and multidisciplinary medical staff who performed early activities for ICU patients.
To examine the long-term effects of COVID-19 on surgical nurses.
Individuals contaminated with COVID-19 may face several metabolic or psychological issues, primarily in the respiratory, cardiovascular, nervous, musculoskeletal and renal systems during the late period. However, the long-term epidemiology is still not clear.
Descriptive cross-sectional study.
The study included nurses (n = 509) who had been diagnosed with COVID-19 at least 12 weeks before and worked in surgical departments. We collected the study data via an online survey using the snowball sampling method between December 2021 and May 2022. This study followed the Reporting of Observational Studies in Epidemiology Guideline.
The mean age of the nurses was 31.66 ± 8.74 years. Nurses stated that they were diagnosed with COVID-19 approximately 36 weeks before participating in this study. We found that the nurses mostly experienced palpitation (83.5%), headache (73.5%), dyspnea (64.1%), anosmia (57.6%), arthralgia (55.7%) and burnout (58.4%) during the late period after COVID-19.
The long-term effects of COVID-19 were related to multiple organ dysfunctions.
Since the study was conducted with healthy individuals who had previously experienced COVID-19, there is no patient contribution.
This study focuses on the long-term effects of COVID-19 on nurses. The results support the long-term effects of COVID-19 and are thought to contribute to the literature.
As a chronic skin disease, psoriasis often affects the physical, psychological and social status of the patient, which in turn impacts on their experience of illness and needs. However, there is no review of qualitative research that integrates and analyses the experiences and needs of these three influences from a holistic perspective.
This review follows the ENTREQ guidelines. Six English databases (JBI, Cochrane Library, PubMed, PsyINFO, CINAHL and Embase) and three Chinese databases (CNKI, VIP and Wanfang) were searched from January 2012 to October 2022. Literature was included if it was relevant to the experience of illness and caring needs of patients with psoriasis. The JBI-QARI was used to rate the quality of included studies.
Eleven studies were included in the meta-synthesis. Four analytical themes were identified for analysis: physical challenges, psychological discomfort, social phenomena and caring needs.
The combined physical, psychological and social effects of psoriasis and the consequent caring needs should be emphasised. Health professionals, including doctors and nurses, should be aware of the multiple changes in patients and their coping strategies, provide information about psoriasis, monitor and follow-up regularly over time and obtain feedback to inform further treatment and care so as to develop high-quality therapeutic interventions to help and guide patients with their coping strategies.
These findings describe the physical, psychological and social experiences of illness and caring needs of patients with psoriasis. Healthcare professionals should be more aware of patients' easily overlooked psychological and social distress, providing prompt attention and recognition of patients' experiences and needs, offering relevant assistance and support and enhancing daily, regular follow-up to help them improve their understanding of and ability to manage their illness.
This is a meta-synthesis without direct patient involvement.
To identify the reasons and/or risk factors for hospital admission and/or emergency department attendance for older (≥60 years) residents of long-term care facilities.
Older adults' use of acute services is associated with significant financial and social costs. A global understanding of the reasons for the use of acute services may allow for early identification and intervention, avoid clinical deterioration, reduce the demand for health services and improve quality of life.
Systematic review registered in PROSPERO (CRD42022326964) and reported following PRISMA guidelines.
The search strategy was developed in consultation with an academic librarian. The strategy used MeSH terms and relevant keywords. Articles published since 2017 in English were eligible for inclusion. CINAHL, MEDLINE, Scopus and Web of Science Core Collection were searched (11/08/22). Title, abstract, and full texts were screened against the inclusion/exclusion criteria; data extraction was performed two blinded reviewers. Quality of evidence was assessed using the NewCastle Ottawa Scale (NOS).
Thirty-nine articles were eligible and included in this review; included research was assessed as high-quality with a low risk of bias. Hospital admission was reported as most likely to occur during the first year of residence in long-term care. Respiratory and cardiovascular diagnoses were frequently associated with acute services use. Frailty, hypotensive medications, falls and inadequate nutrition were associated with unplanned service use.
Modifiable risks have been identified that may act as a trigger for assessment and be amenable to early intervention. Coordinated intervention may have significant individual, social and economic benefits.
This review has identified several modifiable reasons for acute service use by older adults. Early and coordinated intervention may reduce the risk of hospital admission and/or emergency department.
This systematic review was conducted and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology.
No patient or public contribution.
Compared to other providers, nurses spend more time with patients, but the exact quantity and nature of those interactions remain largely unknown. The purpose of this study was to characterize the interactions of nurses at the bedside using continuous surveillance over a year long period.
Nurses' time and activity at the bedside were characterized using a device that integrates the use of obfuscated computer vision in combination with a Bluetooth beacon on the nurses' identification badge to track nurses' activities at the bedside. The surveillance device (AUGi) was installed over 37 patient beds in two medical/surgical units in a major urban hospital. Forty-nine nurse users were tracked using the beacon. Data were collected 4/15/19–3/15/20. Statistics were performed to describe nurses' time and activity at the bedside.
A total of n = 408,588 interactions were analyzed over 670 shifts, with >1.5 times more interactions during day shifts (n = 247,273) compared to night shifts (n = 161,315); the mean interaction time was 3.34 s longer during nights than days (p < 0.0001). Each nurse had an average of 7.86 (standard deviation [SD] = 10.13) interactions per bed each shift and a mean total interaction time per bed of 9.39 min (SD = 14.16). On average, nurses covered 7.43 beds (SD = 4.03) per shift (day: mean = 7.80 beds/nurse/shift, SD = 3.87; night: mean = 7.07/nurse/shift, SD = 4.17). The mean time per hourly rounding (HR) was 69.5 s (SD = 98.07) and 50.1 s (SD = 56.58) for bedside shift report.
As far as we are aware, this is the first study to provide continuous surveillance of nurse activities at the bedside over a year long period, 24 h/day, 7 days/week. We detected that nurses spend less than 1 min giving report at the bedside, and this is only completed 20.7% of the time. Additionally, hourly rounding was completed only 52.9% of the time and nurses spent only 9 min total with each patient per shift. Further study is needed to detect whether there is an optimal timing or duration of interactions to improve patient outcomes.
Nursing time with the patient has been shown to improve patient outcomes but precise information about how much time nurses spend with patients has been heretofore unknown. By understanding minute-by-minute activities at the bedside over a full year, we provide a full picture of nursing activity; this can be used in the future to determine how these activities affect patient outcomes.
To evaluate factors associated with fall protection motivation to engage in fall preventive behaviour among rural community-dwelling older adults aged 55 and above using the protection motivation theory scale.
A cross-sectional study.
The study was conducted in a healthcare clinic in Malaysia, using multistage random sampling from November 2021 to January 2022. Three hundred seventy-five older adults aged 55 and older were included in the final analysis. There were 31 items in the final PMT scale. The analysis was performed within the whole population and grouped into ‘faller’ and ‘non-faller’, employing IBM SPSS version 26.0 for descriptive, independent t-test, chi-square, bivariate correlation and linear regressions.
A total of 375 older participants were included in the study. Fallers (n = 82) and non-fallers (n = 293) show statistically significant differences in the characteristics of ethnicity, assistive device users, self-rating of intention and participation in previous fall prevention programmes. The multiple linear regression model revealed fear, coping appraisal and an interaction effect of fear with coping appraisal predicting fall protection motivation among older adults in rural communities.
Findings from this study demonstrated that coping appraisal and fear predict the protection motivation of older adults in rural communities. Older adults without a history of falls and attaining higher education had better responses in coping appraisal, contributing to a reduction in perceived rewards and improving protection motivation. Conversely, older adults from lower education backgrounds tend to have higher non-preventive behaviours, leading to a decline in fall protection motivation.
These results contribute important information to nurses working with older adults with inadequate health literacy in rural communities, especially when planning and designing fall prevention interventions. The findings would benefit all nurses, healthcare providers, researchers and academicians who provide care for older adults.
Participants were briefed about the study, and their consent was obtained. They were only required to answer the questionnaire through interviews. Older individuals aged fifty-five and above in rural communities at the healthcare clinic who could read, write or understand Malay or English were included. Those who were suffering from mental health problems and refused to participate in the study were excluded from the study. Their personal information remained classified and not recorded in the database during the data entry or analysis.
Early identification and intervention of the frailty of the elderly will help lighten the burden of social medical care and improve the quality of life of the elderly. Therefore, we used machine learning (ML) algorithm to develop models to predict frailty risk in the elderly.
A prospective cohort study.
We collected data on 6997 elderly people from Chinese Longitudinal Healthy Longevity Study wave 6–7 surveys (2011–2012, 2014). After the baseline survey in 1998 (wave 1), the project conducted follow-up surveys (wave 2–8) in 2000–2018. The osteoporotic fractures index was used to assess frailty. Four ML algorithms (random forest [RF], support vector machine, XGBoost and logistic regression [LR]) were used to develop models to identify the risk factors of frailty and predict the risk of frailty. Different ML models were used for the prediction of frailty risk in the elderly and frailty risk was trained on a cohort of 4385 elderly people with frailty (split into a training cohort [75%] and internal validation cohort [25%]). The best-performing model for each study outcome was tested in an external validation cohort of 6997 elderly people with frailty pooled from the surveys (wave 6–7). Model performance was assessed by receiver operating curve and F2-score.
Among the four ML models, the F2-score values were similar (0.91 vs. 0.91 vs. 0.88 vs. 0.90), and the area under the curve (AUC) values of RF model was the highest (0.75), followed by LR model (0.74). In the final two models, the AUC values of RF and LR model were similar (0.77 vs. 0.76) and their accuracy was identical (87.4% vs. 87.4%).
Our study developed a preliminary prediction model based on two different ML approaches to help predict frailty risk in the elderly.
The presented models from this study can be used to inform healthcare providers to predict the frailty probability among older adults and maybe help guide the development of effective frailty risk management interventions.
Detecting frailty at an early stage and implementing timely targeted interventions may help to improve the allocation of health care resources and to reduce frailty-related burden. Identifying risk factors for frailty could be beneficial to provide tailored and personalized care intervention for older adults to more accurately prevent or improve their frail conditions so as to improve their quality of life.
The study has adhered to STROBE guidelines.
No patient or public contribution.
To identify and synthesize evidence available on nurse leaders' interpersonal communication competence.
Systematic mixed-methods review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis checklist.
The data were collected following predefined inclusion criteria. Two authors independently performed the study selection using Covidence software. Three authors assessed the quality using Joanna Briggs' Institute's critical appraisal tool and the mixed-methods appraisal tool. The data-based convergent synthesis design and narrative synthesis were used.
CINAHL, PubMed, Scopus, Business Source Elite, Academic Search Premier, Communication & Mass Media Complete, PsycInfo, Web of Sciences, Medic and Finna.fi were searched and the screening of citations in relevant articles. The final searches were performed on 17 October 2022.
A total of 26 studies—15 quantitative, 9 qualitative and 1 of both mixed-method and multi-method—met the inclusion criteria. The nurse leaders' interpersonal communication competences described in the extant literature were categorized into three themes: message competence, relational competence and task competence. There were considerable differences in the levels of competence, as some competences were considered basic communication skills, while others required more advanced level competences. Furthermore, three competence levels were identified: novice, competent and expert.
This study unravels a unique hierarchical description of communication skills across competence categories, supported by the assumption that communication skills are structured hierarchically. The studies reviewed herein had a narrow perception of nurse leaders' interpersonal communication competence and indicated a transmissional understanding of communication.
This is the first mixed-methods systematic review that describes and synthesizes the evidence on nurse leaders' communication competencies hierarchically and across competence levels. The study suggests that further research should focus on a broader and more analytical understanding of the cognitive and affective aspects of interpersonal communication competence.
CRD42023385058.
No patient or public contribution.
To synthesize the literature on the experiences of patients, families and healthcare professionals with video calls during hospital admission. Second, to investigate facilitators and barriers of implementation of video calls in hospital wards.
Scoping review.
PubMed, CINAHL and Google Scholar were searched for relevant publications in the period between 2011 and 2023. Publications were selected if they focused on experiences of patients, families or healthcare professionals with video calls between patients and their families; or between families of hospitalized patients and healthcare professionals. Quantitative and qualitative data were summarized in data charting forms.
Forty-three studies were included. Patients and families were satisfied with video calls as it facilitated daily communication. Family members felt more engaged and felt they could provide support to their loved ones during admission. Healthcare professionals experienced video calls as an effective way to communicate when in-person visits were not allowed. However, they felt that video calls were emotionally difficult as it was hard to provide support at distance and to use communication skills effectively. Assigning local champions and training of healthcare professionals were identified as facilitators for implementation. Technical issues and increased workload were mentioned as main barriers.
Patients, families and healthcare professionals consider video calls as a good alternative when in-person visits are not allowed. Healthcare professionals experience more hesitation towards video calls during admission, as it increases perceived workload. In addition, they are uncertain whether video calls are as effective as in-person conservations.
When implementing video calls in hospital wards, policymakers and healthcare professionals should select strategies that address the positive aspects of family involvement at distance and the use of digital communication skills.
No patient or public contribution.
To demonstrate how interoperable nursing care data can be used by nurses to create a more holistic understanding of the healthcare needs of multiple traumas patients with Impaired Physical Mobility. By proposing and validating linkages for the nursing diagnosis of Impaired Physical Mobility in multiple trauma patients by mapping to the Nursing Outcomes Classification (NOC) and Nursing Interventions Classification (NIC) equivalent terms using free-text nursing documentation.
A descriptive cross-sectional design, combining quantitative analysis of interoperable data sets and the Kappa's coefficient score with qualitative insights from cross-mapping methodology and nursing professionals' consensus.
Cross-mapping methodology was conducted in a Brazilian Level 1 Trauma Center using de-identified records of adult patients with a confirmed medical diagnosis of multiple traumas and Impaired Physical Mobility (a nursing diagnosis). The hospital nursing free-text records were mapped to NANDA-I, NIC, NOC and NNN linkages were identified. The data records were retrieved for admissions from September to October 2020 and involved medical and nursing records. Three expert nurses evaluated the cross-mapping and linkage results using a 4-point Likert-type scale and Kappa's coefficient.
The de-identified records of 44 patients were evaluated and then were mapped to three NOCs related to nurses care planning: (0001) Endurance; (0204) Immobility Consequences: Physiological, and (0208) Mobility and 13 interventions and 32 interrelated activities: (6486) Environmental Management: Safety; (0840) Positioning; (3200) Aspiration Precautions; (1400) Pain Management; (0940) Traction/Immobilization Care; (3540) Pressure Ulcer Prevention; (3584) Skincare: Topical Treatment; (1100) Nutrition Management; (3660) Wound Care; (1804) Self-Care Assistance: Toileting; (1801) Self-Care Assistance: Bathing/Hygiene; (4130) Fluid Monitoring; and (4200) Intravenous Therapy. The final version of the constructed NNN Linkages identified 37 NOCs and 41 NICs.
These valid NNN linkages for patients with multiple traumas can serve as a valuable resource that enables nurses, who face multiple time constraints, to make informed decisions efficiently. This approach of using evidence-based linkages like the one developed in this research holds high potential for improving patient's safety and outcomes.
In this study, there was no direct involvement of patients, service users, caregivers or public members in the design, conduct, analysis and interpretation of data or preparation of the manuscript. The study focused solely on analysing existing de-identified medical and nursing records to propose and validate linkages for nursing diagnoses.
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