Shifting Mindsets: The Impact of a Patient Portal on Functioning and Recovery in a Mental Health Setting.

OBJECTIVE: This study aims to understand whether higher use of a patient portal can have an impact on mental health functioning and recovery. METHOD: A mixed methods approach was used for this study. In 2019-2021, patients with mental health diagnoses at outpatient clinics in an academic centre were invited to complete World Health Organization Disability Assessment Scale 12 (WHODAS-12) and Mental Health Recovery Measure surveys at baseline, 3 months, and 6 months after signing up for the portal. At the 3-month time point, patients were invited to a semistructured interview with a member of the team to contextualize the findings obtained from the surveys. Analytics data was also collected from the platform to understand usage patterns on the portal. RESULTS: Overall, 113 participants were included in the analysis. There was no significant change in mental health functioning and recovery scores over the 6-month period. However, suboptimal usage was observed as 46% of participants did not complete any tasks within the portal. Thirty-five participants had low use of the portal (1-9 interactions) and 18 participants had high usage (10+ interactions). There were also no differences in mental health functioning and recovery scores between low and high users of the portal. Qualitative interviews highlighted many opportunities where the portal can support overall functioning and mental health recovery. CONCLUSIONS: Collectively, this study suggests that higher use of a portal had no impact, either positive or negative, on mental health outcomes. While it may offer convenience and improved patient satisfaction, adequate support is needed to fully enable these opportunities for patient care. As the type of interaction with the portal was not specifically addressed, future work should focus on looking at ways to support patient engagement and portal usage throughout their care journey.

Documentation of social determinants of health across individuals from different racial and ethnic groups in home healthcare.

INTRODUCTION: 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. DESIGN: Retrospective data analysis. METHODS: 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. RESULTS: 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. CONCLUSION: 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. CLINICAL RELEVANCE: 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.

National survey on understanding nursing academics' perspectives on digital health education.

AIM: This study explored the knowledge and confidence levels of nursing academics in teaching both the theories and practical skills of digital health in undergraduate nursing programs. DESIGN: A cross-sectional study. METHODS: A structured online survey was distributed among nursing academics across Australian universities. The survey included two sections: (1) the participants' demographics and their nursing and digital health teaching experience; (2) likert scales asking the participants to rate their knowledge and confidence to teach the theories and practical skills of four main themes; digital health technologies, information exchange, quality and digital professionalism. RESULTS: One hundred and nineteen nursing academics completed part one, and 97 individuals completed part two of the survey. Only 6% (n = 5) of the participants reported having formal training in digital health. Digital health was mainly taught as a module (n = 57, 45.9%), and assessments of theory or practical application of digital health in the nursing curriculum were uncommon, with 79 (69.9%) responding that there was no digital health assessment in their entry to practice nursing programs. Among the four core digital health themes, the participants rated high on knowledge of digital professionalism (22.4% significant knowledge vs. 5.9% no knowledge) but low on information exchange (30% significant knowledge vs. 28.3% no knowledge). Statistically significant (p < .001) associations were found between different themes of digital health knowledge and the level of confidence in teaching its application. Nursing academics with more than 15 years of teaching experience had a significantly higher level of knowledge and confidence in teaching digital health content compared with those with fewer years of teaching experience. CONCLUSION: There is a significant gap in nursing academics' knowledge and confidence to teach digital health theory and its application in nursing. Nursing academics need to upskill in digital health to prepare the future workforce to be capable in digitally enabled health care settings. IMPLICATIONS FOR THE PROFESSION: Nursing academics have a limited level of digital knowledge and confidence in preparing future nurses to work in increasingly technology-driven health care environments. Addressing this competency gap and providing sufficient support for nursing academics in this regard is essential. IMPACT: What problem did the study address? Level of knowledge and confidence among nursing academics to teach digital health in nursing practice. What were the main findings? There is a significant gap in nursing academics' knowledge and confidence to teach digital health theory and its application in nursing. Where and on whom will the research have an impact? Professional nursing education globally. REPORTING METHOD: The STROBE guideline was used to guide the reporting of the study. PATIENT OR PUBLIC CONTRIBUTION: The call for participation from nursing academics across Australia provided an introductory statement about the project, its aim and scope, and the contact information of the principal researcher. A participant information sheet was shared with the call providing a detailed explanation of participation. Nursing academics across Australia participated in the survey through the link embedded in the participation invite.

Perceived Impact of COVID-19 in an Underserved Community: A Natural Language Processing Approach.

AIM: To utilise natural language processing (NLP) to analyse interviews about the impact of COVID-19 in underserved communities and to compare it to traditional thematic analysis in a small subset of interviews. DESIGN: NLP and thematic analysis were used together to comprehensively examine the interview data. METHODS: Fifty transcribed interviews with purposively sampled adults living in underserved communities in the United States, conducted from June 2021 to May 2022, were analysed to explore the impact of the COVID-19 pandemic on social activities, mental and emotional stress and physical and spiritual well-being. NLP includes several stages: data extraction, preprocessing, processing using word embeddings and topic modelling and visualisation. This was compared to thematic analysis in a random sample of 10 interviews. RESULTS: Six themes emerged from thematic analysis: The New Normal, Juxtaposition of Emotions, Ripple Effects on Health, Brutal yet Elusive Reality, Evolving Connections and Journey of Spirituality and Self-Realisation. With NLP, four clusters of similar context words for each approach were analysed visually and numerically. The frequency-based word embedding approach was most interpretable and well aligned with the thematic analysis. CONCLUSION: The NLP results complemented the thematic analysis and offered new insights regarding the passage of time, the interconnectedness of impacts and the semantic connections among words. This research highlights the interdependence of pandemic impacts, simultaneously positive and negative effects and deeply individual COVID-19 experiences in underserved communities. IMPLICATIONS: The iterative integration of NLP and thematic analysis was efficient and effective, facilitating the analysis of many transcripts and expanding nursing research methodology. IMPACT: While thematic analysis provided richer, more detailed themes, NLP captured new elements and combinations of words, making it a promising tool in qualitative analysis. REPORTING METHOD: Not applicable. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Linguistic dissection of nursing handoffs: Implications for patient safety in varied-acuity hospital settings.

AIM: This study examines the intricate language and communication patterns of nurse-to-nurse handoffs across three units with varying patient acuity levels and nurse-patient ratios, seeking to identify linguistic factors that may affect the quality of information transfer and patient outcomes. DESIGN: A mixed-methods cross-sectional design. METHODS: This study used the Nurse-to-Nurse Transition of Care Communication Model to explore the content and meaning of language in nursing handoffs within a large academic medical centre. Data were collected on three units through digital audio recordings of 20 handoffs between June and September 2022, which were transcribed and analysed using the Linguistic Inquiry Word Count programme. Trustworthiness was established by adhering to COREQ and STROBE guidelines for qualitative and quantitative research, respectively. RESULTS: Analysis revealed a preference for casual, narrative language across all units, with ICU nurses demonstrating a higher confidence and leadership in communication. Cognitive processes such as insight and causation were found to be underrepresented, indicating a potential area for miscommunication. Communication motives driven by affiliation were more pronounced in ICU settings, suggesting a strong collaborative nature. No significant differences were observed among the units post multiple testing adjustments. Speech dysfluencies were most pronounced in ICU handoffs, reflecting possible stress and cognitive overload. CONCLUSION: The study highlights the need for improved communication strategies such as interventions to enhance language clarity and incorporating technological tools into handoff processes to mitigate potential miscommunications and errors. The findings advance nursing science by highlighting the critical role of nuanced language in varied-acuity hospital settings and the necessity for structured nurse education in handoff communication and standardized handoff procedures. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: This study underscores the critical role of language in nurse-to-nurse handoffs. It calls for enhanced communication strategies, technology integration and training to reduce medical errors, improving patient outcomes in high-acuity hospital settings. PATIENT OR PUBLIC CONTRIBUTION: Nurses only.

Nursing informatics competency and its associated factors among palliative care nurses: an online survey in mainland China.

BACKGROUND: Nursing informatics (NI) competency is a required core competency for high-quality care in digitally enabled healthcare environments. Given the increasing reliance on digital health in palliative care settings, it becomes crucial to evaluate the NI competency of nurses to ensure the seamless integration and effective utilization of digital health in their clinical practice. This study aimed to investigate the level of NI competency and explore its associated factors among palliative care nurses in mainland China. METHODS: A cross-sectional design was conducted for this study, involving a total of 409 palliative care nurses from 302 hospitals in mainland China. Anonymous data were collected through a self-designed sociodemographic questionnaire, the Nursing Informatics Competency Scale (NICS) and the Innovative Self-Efficacy Scale. RESULTS: The total score of the NICS was 129.19 ± 22.02, which indicated that Chinese palliative care nurses had a moderate level of NI competency. There was a positive correlation between innovative self-efficacy and NI competency (r = 0.602, P < 0.01). The hospital level and innovative self-efficacy were identified as statistically significant factors influencing nurses' NI competency based on multiple linear regression analysis results. These associated factors could explain 35.1% of the difference in NI competency. CONCLUSIONS: This study found that palliative care nurses in mainland China exhibited moderate levels of NI competency and identified the hospital level and innovative self-efficacy as associated factors of nurses' NI competency. Measures such as developing supported strategies, including targeted NI training programs by nursing education managers of primary-level hospitals and creating a positive culture of innovation by healthcare institutions can be considered to improve the level of NI competency among Chinese palliative care nurses.

The mediating and moderating role of nursing information competence between nurses' creative self-efficacy and innovation behavior in a specialized oncology hospital.

OBJECTIVE: This study aims to examine the impact of nurses' nursing information competence on their creative self-efficacy and innovation behavior, and to investigate its role as a mediating factor between these two elements. METHODS: A survey was conducted from July to September 2023 involving 1,200 nurses from two tertiary-level oncology specialty hospitals in Beijing, selected through convenience sampling. Instruments used included the Creative Self-Efficacy Scale, Nursing Information Competence Assessment Scale, and Nurses' Innovative Behavior Scale. Data analysis was conducted using SPSS 25.0 and R 4.1.2; AMOS26 was used to construct structural equation models and Bootstrap method was used to test the mediating hypotheses. RESULTS: Out of the distributed questionnaires, 1,166 were valid, yielding an effective response rate of 97.16%. Pearson correlation analysis revealed significant correlations between innovation self-efficacy, nursing information competence, and nurses' innovative behaviors (P < 0.001). The Bootstrap method indicated that nursing information competence serves as a mediating factor in the relationship between creative self-efficacy and innovative behaviors, contributing to 24.5% of the observed effect. Additionally, regression analysis suggested that nursing information competence moderates the relationship between creative self-efficacy and innovation behavior. CONCLUSION: The findings suggest that nursing information competence not only mediates but also moderates the relationship between creative self-efficacy and innovative behavior. Enhancing nurses' information competence could therefore foster creative self-efficacy, leading to an increase in innovative behavior and, subsequently, improvements in the quality of oncology nursing care.

Ethical considerations for artificial intelligence use in nursing informatics.

Artificial intelligence revolutionizes nursing informatics and healthcare by enhancing patient outcomes and healthcare access while streamlining nursing workflow. These advancements, while promising, have sparked debates on traditional nursing ethics like patient data handling and implicit bias. The key to unlocking the next frontier in holistic nursing care lies in nurses navigating the delicate balance between artificial intelligence and the core values of empathy and compassion. Mindful utilization of artificial intelligence coupled with an unwavering ethical commitment by nurses may transform the very essence of nursing.

The identification of clusters of risk factors and their association with hospitalizations or emergency department visits in home health care.

AIMS: To identify clusters of risk factors in home health care and determine if the clusters are associated with hospitalizations or emergency department visits. DESIGN: A retrospective cohort study. METHODS: This study included 61,454 patients pertaining to 79,079 episodes receiving home health care between 2015 and 2017 from one of the largest home health care organizations in the United States. Potential risk factors were extracted from structured data and unstructured clinical notes analysed by natural language processing. A K-means cluster analysis was conducted. Kaplan-Meier analysis was conducted to identify the association between clusters and hospitalizations or emergency department visits during home health care. RESULTS: A total of 11.6% of home health episodes resulted in hospitalizations or emergency department visits. Risk factors formed three clusters. Cluster 1 is characterized by a combination of risk factors related to "impaired physical comfort with pain," defined as situations where patients may experience increased pain. Cluster 2 is characterized by "high comorbidity burden" defined as multiple comorbidities or other risks for hospitalization (e.g., prior falls). Cluster 3 is characterized by "impaired cognitive/psychological and skin integrity" including dementia or skin ulcer. Compared to Cluster 1, the risk of hospitalizations or emergency department visits increased by 1.95 times for Cluster 2 and by 2.12 times for Cluster 3 (all p < .001). CONCLUSION: Risk factors were clustered into three types describing distinct characteristics for hospitalizations or emergency department visits. Different combinations of risk factors affected the likelihood of these negative outcomes. IMPACT: Cluster-based risk prediction models could be integrated into early warning systems to identify patients at risk for hospitalizations or emergency department visits leading to more timely, patient-centred care, ultimately preventing these events. PATIENT OR PUBLIC CONTRIBUTION: There was no involvement of patients in developing the research question, determining the outcome measures, or implementing the study.

Measuring text similarity and its associated factors in electronic nursing progress notes: A retrospective review.

AIMS AND OBJECTIVES: To measure text similarity in electronic nursing progress notes and determine factors associated with text similarity. BACKGROUND: Electronic clinical notes with redundant information masks clinically relevant information, increases clinicians' cognitive burden and undermines patient safety. DESIGN: Retrospective review of electronic medical record nursing progress notes. METHODS: The study was conducted between November 2018 and February 2019 in two Australian Paediatric Intensive Care Units. De-identified, randomly selected inpatient data were extracted from the network's database. Manually classified shift summary progress notes for each admission were sequenced from admission to discharge. Text similarity was calculated for consecutive pairs of nursing progress notes. Linear regression was undertaken to determine the association between the similarity scores and variables of interest: note word count, total number of notes and unit. The STROBE checklist was used for reporting. RESULTS: 921 shift summary nursing progress notes were analysed. Similarity scores were widely distributed with a median of 10.37%. Only 17.2% (n = 144) of the notes have similarity scores above 20%. Of these, 5% (n = 47) were above 50% similar in comparison with a previously written note. Similarity above 50% was observed as early as the first note pair in the course of a patient's admission. A significant difference was found between the similarity scores of Unit 1 and Unit 2. Hospital unit was the only variable of interest significantly associated with similarity scores. CONCLUSION: Text similarity among electronic nursing progress notes in Australian Paediatric ICUs is minimal; however, notes with >50% similarity have been identified. Text analytics provides measurable data and insights about electronic clinical documentation to inform future nursing practice, research and eMR design. RELEVANCE TO CLINICAL PRACTICE: Findings have implications for nursing practice in the way that nursing staff are educated to maintain data quality, professional accountability and effective communication in electronic documentation and to avoid unnecessary repetition of text.

'It enables the carers to see the person first': Qualitative evaluation of point-of-care digital management system in residential aged care.

AIMS AND OBJECTIVES: To evaluate acceptability, efficiency, and quality of a new digital care management system in a residential aged care home (RACH). BACKGROUND: Improving care quality and efficiency in RACH, while simultaneously upgrading data management, is a priority for communities and governments. DESIGN: Participatory action research with mixed methods data collection was employed to evaluate a digital care management system implemented at a 169-bed RACH. This paper reports qualitative findings of the 2-year evaluation. METHODS: Qualitative data were collected using focus groups with residents, visitors, nurses, managers, care workers, and consultants; resident/visitor and staff hallway interviews and responses to open-ended questions in online staff surveys. Data were analysed thematically under the four predetermined study objectives. Reporting adhered to COREQ guidelines. RESULTS: 325 data captures from 88 participants, over seven data sources were coded. Findings indicate that the system was acceptable to both residents and staff due to perceptions of time-saving and improved quality of care. Increased efficiency was perceived through timeliness as well as reduced time spent retrieving and documenting information. Quality of care was improved through care scheduling individualised to resident needs, with reminders to avoid missed care. Relatives were reassured and activities were scheduled to loved one's preferences. The co-design implementation process was successful through commitment to quality from leadership teams and prioritising the focus on the holistic needs of the residents. CONCLUSION: A strong emphasis on co-design with care staff in developing and implementing the digital care system contributed to a system that supported nursing and care work, facilitated reporting and documentation, and improved resident care and well-being including identification of missed care. RELEVANCE TO CLINICAL PRACTICE: Nurses, carers, administrators, and advocates can support the co-design creation of information systems that suit the workflow of an organisation and keep the focus on individualised models of care provision.

Decision-making in nursing research and practice-Application of the Cognitive Continuum Theory: A meta-aggregative systematic review.

AIM: To explore how the Cognitive Continuum Theory has been used in qualitative nursing research and to what extent it has been integrated in the research process using the Qualitative Network for Theory Use and Methodology (QUANTUM). BACKGROUND: Theory, research and nursing are intrinsically linked, as are decision-making and nursing practice. With increasing pressure on nurses to improve patient outcomes, systematic knowledge regarding decision-making is critical and urgent. DESIGN: A meta-aggregative systematic review. METHODS: DATABASES: CINAHL, Medline, PsycINFO, Embase and PubMed were searched from inception until May 2022 for peer-reviewed research published in English. Seven studies were included and assessed for methodological quality using the Joanna Briggs Institute checklist for qualitative research. A meta-aggregative synthesis was conducted using Joanna Briggs methodology. The QUANTUM typology was used to evaluate the visibility of the Cognitive Continuum Theory in the research process. RESULTS: The review identified five synthesised findings, namely: 1. the decision-making capacity of the individual nurse, 2. nurses' level of experience, 3. availability of decision support tools, 4. the availability of resources and 5. access to senior staff and peers. Only two of seven studies rigorously applied the theory. The included studies were mainly descriptive-exploratory in nature. CONCLUSION: The transferability of the Cognitive Continuum Theory was demonstrated; however, evolution or critique was absent. A gap in the provision of a patient-centric approach to decision-making was identified. Education, support and research is needed to assist decision-making. A new Person-Centred Nursing Model of the Cognitive Continuum Theory has been proposed to guide future research in clinical decision-making. RELEVANCE TO CLINICAL PRACTICE: Nurses make numerous decisions every day that directly impact patient care, therefore development and testing of new theories, modification and revision of older theories to reflect advances in knowledge and technology in contemporary health care are essential.

The effect of digitalization of nursing forms in ICUs on time and cost.

OBJECTIVE: Intensive Care Units are one of the areas with the lowest digitization rate. This study aims to measure the effect of digitizing medical records kept in paper forms in ICUs on time-saving and paper consumption. In our study, care forms in ICUs were transferred to digital media. In our research, care forms in ICUs were transferred to digital media. METHODS: The time required to fill out the nursing care forms on paper and digital media was measured, the change in paper and printer costs was determined, and the results were compared. Two volunteer nurses working in the ICU of a university hospital in Istanbul measured the time it took to fill out the forms of patients on paper. Then, a future projection was made using digital form data of 5,420 care days of 428 patients hospitalized between October 2017 and September 2018. Only anonymous data of patients hospitalized in the general ICU were used, and other untempered were not included in the study. RESULTS: When the forms were filled in digitally by the nurses, one nurse per patient per day saved 56.82 min (3.95% per day). DISCUSSION: Health care services are provided in hospitals in Turkey with 28,353 adult intensive care beds and an occupancy rate of 68%. Based on the occupancy rate of 68%, the number of full beds is 19,280. When 56.82 min are saved per bed from the forms filled by the nurses, 760.71 care days are dedicated. Considering the salary of 1,428.67 US dollars per nurse, the savings to be achieved are estimated to be 13,040,804.8 US dollars per year.

Ethical predicaments and countermeasures in nursing informatics.

With the increasing use of technology in nursing, how nurses perform practice care has changed, inevitably leading to ethical concerns that differ from original ethical norms in nursing. Studies have focused on ethical issues in health informatics from clinicians' or patients' perspectives, while nurses' perspective is needed. This paper conducts a theoretical study on ethical predicaments that arise in nursing informatics from nurses' perspectives. Why and how these predicaments emerge are elaborated. Also, this paper offers countermeasures in realistic contexts from technique, education, and leadership aspects. Collaborations between governments, administrators, educators, technicians, and nurses are needed to step out of these predicaments.

Feasibility and acceptability of using information visualizations to improve HIV-related communication in a limited-resource setting: a short report.

Infographics (visualizations that present information) can assist clinicians to offer health information to patients with low health literacy in an accessible format. In response, we developed an infographic intervention to enhance clinical, HIV-related communication. This study reports on its feasibility and acceptability at a clinical setting in the Dominican Republic. We conducted in-depth interviews with physicians who administered the intervention and patients who received it. We conducted audio-recorded interviews in Spanish using semi-structured interview guides. Recordings were professionally transcribed verbatim then analyzed using descriptive content analysis. Physician transcripts were deductively coded according to constructs of Bowen et al.'s feasibility framework and patient transcripts were inductively coded. Three physicians and 26 patients participated. Feasibility constructs endorsed by physicians indicated that infographics were easy to use, improved teaching, and could easily be incorporated into their workflow. Coding of patient transcripts identified four categories that indicated the intervention was acceptable and useful, offered feedback regarding effective clinical communication, and recommended improvements to infographics. Taken together, these data indicate our intervention was a feasible and acceptable way to provide clinical, HIV-related information and provide important recommendations for future visualization design as well as effective clinical communication with similar patient populations.

Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care.

BACKGROUND/OBJECTIVE: Between 10 and 25% patients are hospitalized or visit emergency department (ED) during home healthcare (HHC). Given that up to 40% of these negative clinical outcomes are preventable, early and accurate prediction of hospitalization risk can be one strategy to prevent them. In recent years, machine learning-based predictive modeling has become widely used for building risk models. This study aimed to compare the predictive performance of four risk models built with various data sources for hospitalization and ED visits in HHC. METHODS: Four risk models were built using different variables from two data sources: structured data (i.e., Outcome and Assessment Information Set (OASIS) and other assessment items from the electronic health record (EHR)) and unstructured narrative-free text clinical notes for patients who received HHC services from the largest non-profit HHC organization in New York between 2015 and 2017. Then, five machine learning algorithms (logistic regression, Random Forest, Bayesian network, support vector machine (SVM), and Naïve Bayes) were used on each risk model. Risk model performance was evaluated using the F-score and Precision-Recall Curve (PRC) area metrics. RESULTS: During the study period, 8373/86,823 (9.6%) HHC episodes resulted in hospitalization or ED visits. Among five machine learning algorithms on each model, the SVM showed the highest F-score (0.82), while the Random Forest showed the highest PRC area (0.864). Adding information extracted from clinical notes significantly improved the risk prediction ability by up to 16.6% in F-score and 17.8% in PRC. CONCLUSION: All models showed relatively good hospitalization or ED visit risk predictive performance in HHC. Information from clinical notes integrated with the structured data improved the ability to identify patients at risk for these emergent care events.

Determinant factors in adopting mobile health application in healthcare by nurses.

BACKGROUND: Mobile applications are among effective learning tools and have a significant role in transferring information and knowledge to nurses. The current study was carried to identify the factors affecting nurses' use of practical health related mobile applications in education and patient interaction based on the combined Technology Acceptance Model (TAM) and Diffusion of Innovation (DOI). METHOD: The study is a descriptive-analytical study with a cross-sectional method. The research population includes nurses working at Tabriz University of Medical Sciences hospitals, 150 of which were selected as the research sample using simple and available sampling. The data collection instrument was a questionnaire, the validity and reliability of which were confirmed (α = 0.9). Data analysis was carried out using a correlation test and regression analysis by applying SPSS v16 software. RESULTS: The findings show that perceived usefulness and perceived ease of use have a direct and significant effect on the rate of using mobile applications by nurses (P value ≤ 0.01), [(ß = 0.52), (ß = 0.40)]. Other findings indicate that relative advantage, compatibility, trialability and observability, have a direct and significant effect on nurses' use of mobile applications, while complicatedness does not have a significant effect. CONCLUSION: The current study identifies the effective factors in nurses' use of health-related mobile applications based on an integrated model of TAM and DOI. Designers of mobile applications should consider these factors in designing and developing programs so that mobile applications can successfully fulfill their purpose in healthcare.

Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework.

BACKGROUND: Nursing information systems embedded with standardized nursing language and clinical decision support have been increasingly introduced in health care settings. User experience is key to the adoption of health information technologies. Despite extensive research into the user experience with nursing information systems, few studies have focused on the interaction between user, technology and organizational attributes during its implementation. Guided by the human, organization and technology-fit framework, this study aimed to investigate nurses' perceptions and experiences with transition to a new nursing information system (Care Direct) 2 years after its first introduction. METHODS: This is a mixed-method study using an embedded design. An online survey was launched to collect nurses' self-reported use of the new system, perceived system effectiveness and experience of participation in system optimization. Twenty-two semi structured interviews were conducted with twenty nurses with clinical or administrative roles. The quantitative and qualitative data were merged using the Pillar Integration Process. RESULTS: The average score of system use behavior was 3.76 ± 0.79. Regarding perceived system effectiveness, the score of each dimension ranged 3.07-3.34 out of 5. Despite large variations in approaches to participating in system optimization, nurses had generally positive experiences with management and technical support. Eight main categories emerged from the integrated findings, which were further condensed into three themes: perceptions on system content, structure, and functionality; perceptions on interdisciplinary and cross-level cooperation; and embracing and accepting the change. CONCLUSIONS: Effective collaboration between clinicians, administrators and technical staff is required during system promotion to enhance system usability and user experience. Clear communication of organizational missions to staff and support from top management is needed to smooth the system implementation process and achieve broader system adoption.

Using data visualization to detect patterns in whole-person health data.

Data visualization techniques are useful for examining large multidimensional data sets. In this exploratory data analysis (EDA) study, we applied a visualization pattern detection and testing process to deidentified data to discover patterns in whole-person health for adults 65 and older. Whole-person health examines a person's environmental, psychosocial, and physical health, as well as their health-related behaviors; and assesses their strengths, challenges, and needs. Strengths are defined as assets and capabilities in the face of short-or long-term stressors. We collected data using a mobile application that delivers a comprehensive whole-person assessment using a simplified version of a standardized instrument, the Omaha System. The visualization pattern detection process is iterative, includes various techniques, and requires visualization literacy. The data visualization techniques applied in this analysis included bubble charts, parallel coordinates line graphs, box plots, and alluvial flow diagrams. We discovered six patterns within the visualizations. We formulated and tested six hypotheses based on these six patterns, and all six hypotheses were supported. Adults 65 and older had more strengths than challenges and more challenges than needs (p < 0.001). Strengths and challenges were negatively correlated (p < 0.001). Unexpectedly, a subset of adults 65 and older who had many, but not all, strengths had significantly more needs (p = 0.04). The use of standardized terminology with its inherent data interrelationships was key to discovering patterns in whole-person health. This methodology may be used in future EDA research using new data sets.

Identifying and adapting interventions to reduce documentation burden and improve nurses' efficiency in using electronic health record systems (The IDEA Study): protocol for a mixed methods study.

BACKGROUND: Although EHR systems have become a critical part of clinical care, nurses are experiencing a growing burden due to documentation requirements, taking time away from other important clinical activities. There is a need to address the inefficiencies and challenges that nurses face when documenting in and using EHRs. The objective of this study is to engage nurses in generating ideas on how organizations can support and optimize nurses' experiences with their EHR systems, thereby improving efficiency and reducing EHR-related burden. This work will ensure the identified solutions are grounded in nurses' perspectives and experiences and will address their specific EHR-related needs. METHODS: This mixed methods study will consist of three phases. Phase 1 will evaluate the accuracy of the EHR system's analytics platform in capturing how nurses utilize the system in real-time for tasks such as documentation, chart review, and medication reconciliation. Phase 2 consists of a retrospective analysis of the nursing-specific analytics platform and focus groups with nurses to understand and contextualize their usage patterns. These focus groups will also be used to identify areas for improvement in the utilization of the EHR. Phase 3 will include focus groups with nurses to generate and adapt potential interventions to address the areas for improvement and assess the perceived relevance, feasibility, and impact of the potential interventions. DISCUSSION: This work will generate insights on addressing nurses' EHR-related burden and burnout. By understanding and contextualizing inefficiencies and current practices, opportunities to improve EHR systems for nursing professional practice will be identified. The study findings will inform the co-design and implementation of interventions that will support adoption and impact. Future work will include the evaluation of the developed interventions, and research on scaling and disseminating the interventions for use in different organizations, EHR systems, and jurisdictions in Canada.