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Home healthcare (HHC) enables patients to receive healthcare services within their homes to manage chronic conditions and recover from illnesses. Recent research has identified disparities in HHC based on race or ethnicity. Social determinants of health (SDOH) describe the external factors influencing a patient's health, such as access to care and social support. Individuals from racially or ethnically minoritized communities are known to be disproportionately affected by SDOH. Existing evidence suggests that SDOH are documented in clinical notes. However, no prior study has investigated the documentation of SDOH across individuals from different racial or ethnic backgrounds in the HHC setting. This study aimed to (1) describe frequencies of SDOH documented in clinical notes by race or ethnicity and (2) determine associations between race or ethnicity and SDOH documentation.
Retrospective data analysis.
We conducted a cross-sectional secondary data analysis of 86,866 HHC episodes representing 65,693 unique patients from one large HHC agency in New York collected between January 1, 2015, and December 31, 2017. We reported the frequency of six SDOH (physical environment, social environment, housing and economic circumstances, food insecurity, access to care, and education and literacy) documented in clinical notes across individuals reported as Asian/Pacific Islander, Black, Hispanic, multi-racial, Native American, or White. We analyzed differences in SDOH documentation by race or ethnicity using logistic regression models.
Compared to patients reported as White, patients across other racial or ethnic groups had higher frequencies of SDOH documented in their clinical notes. Our results suggest that race or ethnicity is associated with SDOH documentation in HHC.
As the study of SDOH in HHC continues to evolve, our results provide a foundation to evaluate social information in the HHC setting and understand how it influences the quality of care provided.
The results of this exploratory study can help clinicians understand the differences in SDOH across individuals from different racial and ethnic groups and serve as a foundation for future research aimed at fostering more inclusive HHC documentation practices.
Implementation science helps generate approaches to expedite the uptake of evidence in practice. Mixed methods are commonly used in implementation research because they allow researchers to integrate distinct qualitative and quantitative methods and data sets to unravel the implementation process and context and design contextual tools for optimizing the implementation. To date, there has been limited discussion on how to ensure rigor in mixed methods implementation research.
To present Particularity, Engagement, Actionable Inferences, Reflexivity, and Legitimation (PEARL) as a practical tool for understanding various components of rigor in mixed methods implementation research.
This methodological discussion is based on a nurse-led mixed methods implementation study. The PEARL tool was developed based on an interpretive, critical reflection, and purposive reading of selected literature sources drawn from the researchers' knowledge, experiences of designing and conducting mixed methods implementation research, and published methodological papers about mixed methods, implementation science, and research rigor.
An exemplar exploratory sequential mixed methods study in nursing is provided to illustrate the application of the PEARL tool. The proposed tool can be a useful and innovative tool for researchers and students intending to use mixed methods in implementation research. The tool offers a straightforward approach to learning the key rigor components of mixed methods implementation research for application in designing and conducting implementation research using mixed methods.
Rigorous implementation research is critical for effective uptake of innovations and evidence-based knowledge into practice and policymaking. The proposed tool can be used as the means to establish rigor in mixed methods implementation research in nursing and health sciences.
As of now, a model for predicting the survival of patients with out-of-hospital cardiac arrest has not been established. This study aimed to develop a model for identifying predictors of survival over time in patients with out-of-hospital cardiac arrest during their stay in the emergency department, using ensemble-based machine learning. A total of 26 013 patients from the Korean nationwide out-of-hospital cardiac arrest registry were enrolled between January 1 and December 31, 2019. Our model, comprising 38 variables, was developed using the Survival Quilts model to improve predictive performance. We found that changes in important variables of patients with out-of-hospital cardiac arrest were observed 10 minutes after arrival at the emergency department. The important score of the predictors showed that the influence of patient age decreased, moving from the highest rank to the fifth. In contrast, the significance of reperfusion attempts increased, moving from the fourth to the highest rank. Our research suggests that the ensemble-based machine learning model, particularly the Survival Quilts, offers a promising approach for predicting survival in patients with out-of-hospital cardiac arrest. The Survival Quilts model may potentially assist emergency department staff in making informed decisions quickly, reducing preventable deaths. New nurses must acquire accurate knowledge of medication administration, as it directly affects patient safety. This study aimed to develop a microlearning-based self-directed learning chatbot on medication administration for novice nurses. Furthermore, the study had the objective of evaluating the chatbot feasibility. The chatbot covered two main topics: medication administration processes and drug-specific management, along with 21 subtopics. Fifty-eight newly hired nurses on standby were asked to use the chatbot over a 2-week period. Moreover, we evaluated the chatbot's feasibility through a survey that gauged changes in their confidence in medication administration knowledge, intrinsic learning motivation, satisfaction with the chatbot's learning content, and usability. After using the chatbot, participants' confidence in medication administration knowledge significantly improved in all topics (P To investigate the relationship between climate change cognition and behaviours (awareness, concern, motivation, behaviours at home and behaviours at work), positive and negative future cognition, and environmental sustainability attitudes in nurses and to identify the factors affecting environmental sustainability attitudes.
A cross-sectional study.
In total, 358 nurses currently working in tertiary hospitals in Korea were recruited. Data were collected using an online questionnaire link from 1 August to 7 August 2022. Climate change cognition and behaviours were measured using the Korean version of the Climate, Health, and Nursing Tool. Positive and negative future cognition were measured using the Korean version of the Future Event Questionnaire. Environmental sustainability attitude was measured using the Korean version of the Sustainability Attitudes in Nursing Survey-2. Multiple regression analysis was used to identify the factors affecting environmental sustainability attitudes.
Motivation, concern and behaviours at work were factors affecting environmental sustainability attitudes. Motivation was a pivotal influencing factor. Better scores for environmental sustainability attitudes were specifically correlated with higher scores for motivation, concern and behaviours at work.
Nurses' motivation, climate change concern and pro-environmental workplace practices should all be considered to improve their attitudes towards environmental sustainability.
To enhance nurses' environmental sustainability attitudes and behaviours, nurse educators must educate them to increase their motivation for climate action.
Nurses are increasingly expected to contribute to environmental sustainability. Hence, awareness of climate change and environmental sustainability among nurses must be improved, and nursing engagement and action encouraged. Nurse educators and managers should explore barriers to pro-environmental behaviour engagement among nurses, examine workplace cultures that encourage pro-environmental behaviours and develop policies/regulations to develop more environmentally sustainable workplaces.
We adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.
Neither patients nor the public were involved in our research's design, conduct, reporting or dissemination plans. The nurses partook in this study exclusively as research participants and were not involved in any research process.
To explore adult inpatients' perceptions, understanding and preferences regarding the term ‘malnutrition’ and to identify the terms that adult inpatients report are used by themselves and health workers to describe malnutrition.
This qualitative study was conducted using data collected for a separate qualitative study that investigated factors that influence the dietary intake of long-stay, acute adult inpatients.
Semi-structured interviews were conducted with a purposive sample of current inpatients. Data were analysed using inductive content analysis.
Nineteen interviews were included (mean age 64 years (standard deviation ±17), 10 female (53%), 12 malnourished (63%)). Four categories were identified. ‘Variation in patients' recognition of malnutrition’ represents the differing abilities of patients to understand and identify with the term ‘malnutrition’. ‘Recognising individuals' needs and preferences’ highlights patients' varying beliefs regarding whether ‘malnutrition’ is or is not an appropriate term and participants' suggestion that health workers should tailor the term used to each patient. ‘Inconsistencies in health workers' and patients' practice regarding malnutrition terminology’ encapsulates the multiple terms that were used to describe malnutrition by health workers and patients. ‘Importance of malnutrition education’ summarises patients' views that health workers should provide patient education on malnutrition prevention, management and complications.
Findings highlight variations in patients' perceptions and understanding of the term ‘malnutrition’ and differences in the terms used by patients and health workers to describe malnutrition.
The terminology used by health workers to describe malnutrition risk or malnutrition to their patients can influence patients' recognition of their nutritional status and thus the multidisciplinary management of the condition. To ensure that patients receive information about their malnutrition risk or diagnosis in a way that meets their needs, health workers' practices must be revised. To do this, it is imperative to conduct further collaborative research with patients and health workers to identify optimum terms for ‘malnutrition’ and how health workers should communicate this to patients.
There is a disparity in patients' perceptions, understanding and preferences for the term ‘malnutrition’ and there are inconsistencies in how health workers communicate malnutrition to patients. To support patients' recognition and understanding of their nutritional status, it is imperative for health workers to consider how they discuss malnutrition with patients.
Adheres to the Consolidated Criteria for Reporting Qualitative Research (Tong et al., 2007).
No Patient or Public Contribution.
There is an increasing need for highly accessible health management platforms for comprehensive symptoms of Parkinson disease. Mobile apps encompassing nonmotor symptoms have been rarely developed since these symptoms are often subjective and difficult to reflect what individuals actually experience. The study developed an app for comprehensive symptom management and evaluated its usability and feasibility. A single-group repeated measurement experimental design was used. Twenty-two participants used the app for 6 weeks. Monitoring of nonmotor symptoms, games to address motor symptoms, and medication management were incorporated in the app. Quantitative outcomes were self-assessed through an online questionnaire, and one-on-one telephone interviews were conducted to understand the user's point of view. The successful experience of self-monitoring had improved participants' self-efficacy (Z = −3.634, P To examine the relationship between racial/ethnic disparities and substance use behaviours (alcohol and tobacco use) and their impact on the sleep health of South Korean adolescents.
Secondary analysis of cross-sectional study data from the 2021 Korea Youth Risk Behaviour Web-based Survey dataset.
Given that Korean society has historically linked its racial/ethnic identity to a shared bloodline, we categorized 2644 adolescents from the Korea Youth Risk Behaviour Web-based Survey based on their racial/ethnic status, determined by their parents' birthplaces. Using multiple linear regression, we investigated whether the impact of racial/ethnic disparities on sleep health (sleep duration, debt, and timing) varies depending on substance use behaviours (alcohol and tobacco use) after controlling for age, sex, household economic status, depressed mood, suicidal ideation, perceived excessive stress, and anxiety level.
Despite no statistical differences in sleep health and the prevalence of substance use between racial/ethnic groups, racial/ethnic minority adolescents experienced greater sleep debt than racial/ethnic majority adolescents when consuming alcohol. Moreover, racial/ethnic minority adolescents were more likely to report psychosocial distress and had lower parental education level.
Racial/ethnic minority adolescents were more vulnerable to the detrimental effects of alcohol use on sleep health compared to racial/ethnic majority adolescents. This heightened vulnerability may be attributed to the more pronounced psychosocial challenges and the lower socioeconomic status of parents in the racial/ethnic minority group.
Racial/ethnic disparities are concerning in South Korea, particularly since the negative effects of substance use on sleep health are intensified among racial/ethnic minority adolescents. Nurses and other healthcare providers should recognize the importance of addressing the social disadvantages linked to racial/ethnic disparities. Beyond just advocating for the cessation of substance use, it is crucial to address these underlying issues to reduce sleep disparities among South Korean adolescents.
No patient or public contribution.
Nurses routinely perform multiple risk assessments related to patient mobility in the hospital. Use of a single mobility assessment for multiple risk assessment tools could improve clinical documentation efficiency, accuracy and lay the groundwork for automated risk evaluation tools.
We tested how accurately Activity Measure for Post-Acute Care (AM-PAC) mobility scores predicted the mobility components of various fall and pressure injury risk assessment tools.
AM-PAC scores along with mobility and physical activity components on risk assessments (Braden Scale, Get Up and Go used within the Hendrich II Fall Risk Model®, Johns Hopkins Fall Risk Assessment Tool (JHFRAT) and Morse Fall Scale) were collected on a cohort of hospitalised patients. We predicted scores of risk assessments based on AM-PAC scores by fitting of ordinal logistic regressions between AM-PAC scores and risk assessments. STROBE checklist was used to report the present study.
AM-PAC scores predicted the observed mobility components of Braden, Get Up and Go and JHFRAT with high accuracy (≥85%), but with lower accuracy for the Morse Fall Scale (40%).
These findings suggest that a single mobility assessment has the potential to be a good solution for the mobility components of several fall and pressure injury risk assessments.
No abstract available Background
Living with two or more chronic conditions simultaneously—known as multimorbidity—has become increasingly prevalent as the aging population continues to grow. However, the factors that influence the development of multimorbidity are still not fully understood.
Objectives
The purpose of this study was to investigate the prevalence of multimorbidity among U.S. adults 50 years and older and identify associated factors with multimorbidity.
Methods
We used data from four cycles from the National Health and Nutrition Examination Survey (2011–2018) to examine the associations between social determinants of health and multimorbidity among American adults aged 50 years and older. A set of variables on socioeconomic status and health behaviors was chosen based on the social determinants of health conceptual framework developed by the World Health Organization. In our study, 4,552 participants were included. All analyses were accounted for a complex survey design and the use of survey weights. Multiple logistic regression analyses were performed to examine the associated factors with multimorbidity.
Results
The average age was 63.1 years, and 52.9% were female. The average number of chronic conditions was 2.27. The prevalence of multimorbidity was 63.8%, with high cholesterol and hypertension being the most prevalent conditions. In the adjusted model, age, gender, household income, citizenship status, health insurance, healthcare access, body mass index, and smoking status were found to be associated with living with multimorbidity.
Discussion
Our results indicate that continued efforts aimed at promoting smoking cessation and maintaining a healthy weight will be beneficial in preventing the onset of chronic conditions. Additional research is warranted to gain a deeper understanding of the interrelationships between gender, race/ethnicity, household income, citizenship status, health insurance, and healthcare access as social determinants of health in the context of multimorbidity. Further research will help us develop targeted interventions and policies to address disparities and improve health outcomes for individuals with multimorbidity. To employ network analysis to identify the central healthcare service needs of people living with HIV (PLWH) for integrated care.
Cross-sectional survey.
A list of healthcare services was identified through literature reviews, expert workshops and validity evaluations by PLWH. A total of 243 PLWH participated at five hospitals and self-reported their need for healthcare services on a four-point Likert scale. Centrality of healthcare service needs was analysed using network analysis.
The mean score for 20 healthcare service needs was 3.53 out of 4. The highest scoring need, “Precaution for interaction between antiretroviral therapy and other drugs,” received a rating of 3.73 but had a centrality of only 0.31. The most central node in the network of healthcare service needs, “Information and coping with opportunistic infections,” had a strength centrality of 1.63 and showed significant relationships with “non-HIV-related medical services (e.g., health check-ups)” and “Regular dental services.” The correlation stability coefficient, which quantifies the stability of centrality, was 0.44 with an acceptable value.
The most central need was information on opportunistic infections that had connections with many nodes in network analysis. By interpreting the relationships between needs, healthcare providers can design interventions with an integrative perspective.
Network visualization provides dynamic relationships between needs that are unknown from the score scale by presenting them graphically and qualitatively.
Using network analysis to interpret need assessment offers an integrated nursing perspective. Coping with opportunistic infection is central to connecting the chain of healthcare. This study highlights the multifaceted understanding of patients' needs that nurses gain when they conduct network analysis.
We adhered to the STROBE checklist.
No patient or public contribution.
To gather and understand the experience of hospital mealtimes from the perspectives of those receiving and delivering mealtime care (older inpatients, caregivers and staff) using photovoice methods to identify touchpoints and themes to inform the co-design of new mealtime interventions.
This study was undertaken on acute care wards within a single metropolitan hospital in Brisbane, Australia in 2019. Photovoice methods involved a researcher accompanying 21 participants (10 older patients, 5 caregivers, 4 nurses and 2 food service officers) during a mealtime and documenting meaningful elements using photographs and field notes. Photo-elicitation interviews were then undertaken with participants to gain insight into their experience. Data were analysed using inductive thematic analysis, involving a multidisciplinary research team including a consumer.
Themes were identified across the three touchpoints: (1) preparing for the meal (the juggle, the anticipation), (2) delivering/receiving the meal (the rush, the clutter and the wait) and (3) experiencing the meal (the ideal, pulled away and acceptance). Despite a shared understanding of the importance of meals and shared vision of ‘the ideal’ mealtime, generally this was a time of tension, missed cares and dissatisfaction for staff, patients and caregivers. There was stark contrast in some aspects of mealtime experience, with simultaneous experiences of ‘the rush’ (staff) and ‘the wait’ (patients and caregivers). There was an overwhelming sense of acceptance and lack of control over change from all.
This study identified themes during hospital mealtimes which have largely gone unaddressed in the design of mealtime interventions to date. This research may provide a framework to inform the future co-design of mealtime interventions involving patients, caregivers and multidisciplinary staff, centred around these key touchpoints.
Mealtimes are experienced differently by patients, caregivers, nurses and food service officers across three key touchpoints: preparing for, delivering/receiving and experiencing the meal. Improving mealtime experiences therefore necessitates a collaborative approach, with co-designed mealtime improvement programs that include specific interventions focusing each touchpoint. Our data suggest that improvements could focus on reducing clutter, clarifying mealtime roles and workflows and supporting caregiver involvement.
Mealtimes are the central mechanism to meet patients' nutritional needs in hospital; however, research consistently shows that many patients do not eat enough to meet their nutritional requirements and that they often do not receive the mealtime assistance they require. Interventions to improve hospital mealtimes have, at best, shown only modest improvements in nutritional intake and mealtime care practices. Gaining deeper insight into the mealtime experience from multiple perspectives may identify new opportunities for improvement.
Patients, caregivers and staff have shared ideals of comfort, autonomy and conviviality at mealtimes, but challenges of complex teamwork and re-prioritisation of mealtimes in the face of prevailing power hierarchies make it difficult to achieve this ideal. There are three discrete touchpoints (preparing for, delivering/receiving and experiencing the meal) that require different approaches to improvement. Our data suggests a need to focus improvement on reducing clutter, clarifying mealtime roles and workflows and supporting caregivers.
The research provides a framework for multidisciplinary teams to begin co-designing improvements to mealtime care to benefit patients, caregivers and staff, while also providing a method for researchers to understand other complex care situations in hospital.
This manuscript is written in adherence with the Standards for Reporting Qualitative Research.
Patients and caregivers were involved in the conception and design of the study through their membership of the hospital mealtime reference group. A consumer researcher (GP) was involved in the team to advise on study conduct (i.e. recruitment methods and information), data analysis (i.e. coding transcripts), data interpretation (i.e. review and refinement of themes) and manuscript writing (i.e. review and approval of final manuscript).
This study aimed to develop a Mobile Application to Prevent Recurrent Stroke to prevent recurrent stroke by enhancing self-management and to evaluate its effects on stroke survivors' health outcomes. The Mobile Application to Prevent Recurrent Stroke was developed based on social cognitive theory and the model in order of analysis, design, development, implementation, and evaluation process. The Mobile Application to Prevent Recurrent Stroke consisted of health management contents such as information about stroke, its associated risk factors, and required skills to conduct self-management with tailored support and counseling. A quasi-experimental preintervention and postintervention design was used involving a total of 54 stroke survivors. The experimental group (n = 27) was provided the Mobile Application to Prevent Recurrent Stroke for 8 weeks, whereas the control group (n = 27) received an education booklet. The result revealed that medication adherence (P = .002), healthy eating habit (P This scoping review aims to describe published work on the symptoms and management of long COVID conditions.
Symptoms and management of COVID-19 have focused on the acute stage. However, long-term consequences have also been observed.
A scoping review was performed based on the framework suggested by Arksey and O’Malley. We conducted a literature search to retrieve articles published from May 2020 to March 2021 in CINHAL, Cochrane library, Embase, PubMed and Web of science, including backward and forward citation tracking from the included articles. Among the 1880 articles retrieved, 34 articles met our criteria for review: 21 were related to symptom presentation and 13 to the management of long COVID.
Long COVID symptoms were described in 21 articles. Following COVID-19 treatment, hospitalised patients most frequently reported dyspnoea, followed by anosmia/ageusia, fatigue and cough, while non-hospitalised patients commonly reported cough, followed by fever and myalgia/arthralgia. Thirteen studies described management for long COVID: Focused on a multidisciplinary approach in seven articles, pulmonary rehabilitation in three articles, fatigue management in two articles and psychological therapy in one study.
People experience varied COVID-19 symptoms after treatment. However, guidelines on evidence-based, multidisciplinary management for long COVID conditions are limited in the literature. The COVID-19 pandemic may extend due to virus mutations; therefore, it is crucial to develop and disseminate evidence-based, multidisciplinary management guidelines.
A rehabilitation care plan and community healthcare plans are necessary for COVID-19 patients before discharge. Remote programmes could facilitate the monitoring and screening of people with long COVID.
To examine whether nursing diagnoses were associated with delirium in patients with sepsis.
Nursing diagnosis is a nurse's clinical judgement about clients' current or potential health conditions. Delirium is regarded as an important nurse-sensitive outcome. Nonetheless, nursing diagnoses associated with delirium have not yet been identified.
Retrospective correlational study.
This study was carried out from December 2021 to January 2023. We analysed electronic health records of patients with sepsis admitted to the intensive care units (ICUs) of a tertiary hospital in Seoul, South Korea. Delirium was defined based on the Intensive Care Delirium Screening Checklist score. Nursing diagnoses established within 24 h of admission to the ICU were included and were based on the North American Nursing Diagnosis Association diagnostic classification. The data were analysed using logistic regression. Demographics, comorbidities, procedures and physiological measures were adjusted. Regression model was evaluated via receiver operating characteristic curve, Nagelkerke R 2, accuracy and F1 score.
The prevalence of delirium in patients with sepsis was 51.8%. Ineffective breathing patterns, decreased cardiac output and impaired skin integrity were significant nursing diagnoses related to delirium. Age ≥ 65 years, Acute Physiology and Chronic Health Evaluation II score, mechanical ventilation, continuous renal replacement therapy, physical restraint and comatose state were also associated with delirium in patients with sepsis. The area under the receiver operating characteristic curve was 0.806.
Ineffective breathing patterns, decreased cardiac output and impaired skin integrity could manifest as prodromal symptoms of delirium among patients with sepsis.
The prodromal symptoms of delirium revealed through nursing diagnoses can be efficiently used to identify high-risk groups for delirium. The use of nursing diagnosis system should be recommended in clinical practice caring for sepsis patients.
STROBE checklist.
No patient or public involvement.
Researchers often refer to the type of ‘reasoning’ that they have used to support their analysis and reach conclusions within their study. For example, Krick and colleagues completed a study that supported the development of an outcome framework for measuring the effectiveness of digital nursing technologies.
This article will explore inductive and deductive reasoning and their place in nursing research. We will also explore a third approach to reasoning—abductive reasoning—which is arguably less well-known than induction and deduction, but just as prevalent and important in nursing practice and nursing research.
Induction, or inductive reasoning, involves the identification of cues and the collection of data to develop general...
To understand the experience of critical care nurses during the COVID-19 pandemic, through the application of the Job-Demand-Resource model of occupational stress.
Qualitative interview study.
Twenty-eight critical care nurses (CCN) working in ICU in the UK NHS during the COVID-19 pandemic took part in semi-structured interviews between May 2021 and May 2022. Interviews were guided by the constructs of the Job-Demand Resource model. Data were analysed using framework analysis.
The most difficult job demands were the pace and amount, complexity, physical and emotional effort of their work. Prolonged high demands led to CCN experiencing emotional and physical exhaustion, burnout, post-traumatic stress symptoms and impaired sleep. Support from colleagues and supervisors was a core job resource. Sustained demands and impaired physical and psychological well-being had negative organizational consequences with CCN expressing increased intention to leave their role.
The combination of high demands and reduced resources had negative impacts on the psychological well-being of nurses which is translating into increased consideration of leaving their profession.
The full impacts of the pandemic on the mental health of CCN are unlikely to resolve without appropriate interventions.
Managers of healthcare systems should use these findings to inform: (i) the structure and organization of critical care workplaces so that they support staff to be well, and (ii) supportive interventions for staff who are carrying significant psychological distress as a result of working during and after the pandemic. These changes are required to improve staff recruitment and retention.
We used the COREQ guidelines for reporting qualitative studies.
Six CCN provided input to survey content and interview schedule. Two authors and members of the study team (T.S. and S.C.) worked in critical care during the pandemic.
To gain staff feedback on the implementation and impact of a novel ambulatory monitoring system to support coronavirus patient management on an isolation ward.
Qualitative service evaluation.
Semi-structured interviews were conducted with 15 multidisciplinary isolation ward staff in the United Kingdom between July 2020 and May 2021. Interviews were audio-recorded, transcribed and analysed using thematic analysis.
Adopting Innovation to Assist Patient Safety was identified as the overriding theme. Three interlinked sub-themes represent facets of how the system supported patient safety. Patient Selection was developed throughout the pandemic, as clinical staff became more confident in choosing which patients would benefit most. Trust In the System described how nurses coped with discrepancies between the ambulatory system and ward observation machines. Finally, Resource Management examined how, once trust was built, staff perceived the ambulatory system assisted with caseload management. This supported efficient personal protective equipment resource use by reducing the number of isolation room entries. Despite these reported benefits, face-to-face contact was still highly valued, despite the risk of coronavirus exposure.
Hospital wards should consider using ambulatory monitoring systems to support caseload management and patient safety. Patients in isolation rooms or at high risk of deterioration may particularly benefit from this additional monitoring. However, these systems should be seen as an adjunct to nursing care, not a replacement.
Nurses valued ambulatory monitoring as a means of ensuring the safety of patients at risk of deterioration and prioritizing their workload.
The findings of this research will be useful to all those developing or considering implementation of ambulatory monitoring systems in hospital wards.
This manuscript follows the Consolidated criteria for Reporting Qualitative Research (COREQ) guidelines with inclusion of relevant SQUIRE guidelines for reporting quality improvement.
No Patient or Public Contribution.
To explore digital health interventions on patient safety for children and their parents.
A scoping review.
The PCC ‘Participants, Concepts, and Contexts’ guided the selection of studies that focused on children under 19 years of age or their parents, patient safety interventions for children, and digital health technology for patient safety interventions. This study was conducted using the Arksey and O'Malley framework's five steps. We reported the review according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews Checklist.
PubMed, CINAHL, Embase, Web of Science, and Cochrane were searched for articles published up to November 2022.
A total of 13 articles were included and categorized according to the following criteria to describe the results: intervention characteristics, type of digital technology, and outcome characteristics. Regarding intervention characteristics, we identified two categories, prevention and risk management. Additionally, we identified four types of digital technology, mobile applications, web-based technologies, computer kiosks and electronic health records. Finally, in studies focussing on child safety, parental safety behaviours were used to assess injury risk or detect changes related to prevention.
Patient safety interventions provided through appropriate digital technologies should be developed to enhance continuum of care for children from hospitalization to home after discharge.
Digital health interventions can bolster the role of healthcare providers in patient safety in and out of hospitals, thus improving children's safety and quality of care.
What problem did the study address? Although the various advantages of digital health technology have been demonstrated, the potential role of digital technology in patient safety interventions for children has not been explored. What were the main finding? Preventive patient safety interventions and risk management for children have been developed. Where and on whom will the research have an impact? Digital health interventions on patient safety can improve children's safety and quality of care by promoting non-face-to-face engagement of children and parents after discharge and expanding healthcare providers' roles.
Registered on the Open Science Framework (https://osf.io/dkvst).
No patient or public contribution.
FreshRSS 