The Omaha System: a systematic review of the recent literature

Gap Analysis of Encoding the Guidelines on Non-Opioid Approaches for Pain Management Using the Omaha System

This study analyzed the gaps in clinical guidelines for the Institute for Clinical Systems Improvement by using the Omaha System. Clinicians use various Non-Opioid approaches for pain management, leading to diverse coding requirements when inputting data into EHRs. Consequently, the lack of standardized coding for Non-Opioid pain management data leads to inconsistencies, hindering effective information transfer and reuse between care settings, impacting continuity of care. By encoding guidelines within the Omaha System, this study aims to create a standardized framework that enhances data integration and promotes seamless communication across healthcare environments. To address this, pain management guidelines for Non-Opioid approaches were mapped using the Omaha System, with a focus on content feasibility, linguistic validity, and term granularity. The analysis revealed three problems, three categories, and 11 targets in the coding of Non-Opioid approaches for pain management. By integrating guidelines encoded within EHRs, the development of improved guidelines is facilitated, enhancing their efficient utilization and thereby improving nursing records and information delivery systems. In conclusion, this approach addresses the need for standardized coding, advancing both guideline development and continuity of care through improved information systems.

Building a Time-Series Model to Predict Hospitalization Risks in Home Health Care: Insights Into Development, Accuracy, and Fairness

OBJECTIVES

Home health care (HHC) serves more than 5 million older adults annually in the United States, aiming to prevent unnecessary hospitalizations and emergency department (ED) visits. Despite efforts, up to 25% of patients in HHC experience these adverse events. The underutilization of clinical notes, aggregated data approaches, and potential demographic biases have limited previous HHC risk prediction models. This study aimed to develop a time-series risk model to predict hospitalizations and ED visits in patients in HHC, examine model performance over various prediction windows, identify top predictive variables and map them to data standards, and assess model fairness across demographic subgroups.

SETTING AND PARTICIPANTS

A total of 27,222 HHC episodes between 2015 and 2017.

METHODS

The study used health care process modeling of electronic health records, including clinical notes processed with natural language processing techniques and Medicare claims data. A Light Gradient Boosting Machine algorithm was used to develop the risk prediction model, with performance evaluated using 5-fold cross-validation. Model fairness was assessed across gender, race/ethnicity, and socioeconomic subgroups.

RESULTS

The model achieved high predictive performance, with an F1 score of 0.84 for a 5-day prediction window. Twenty top predictive variables were identified, including novel indicators such as the length of nurse-patient visits and visit frequency. Eighty-five percent of these variables mapped completely to the US Core Data for Interoperability standard. Fairness assessment revealed performance disparities across demographic and socioeconomic groups, with lower model effectiveness for more historically underserved populations.

CONCLUSIONS AND IMPLICATIONS

This study developed a robust time-series risk model for predicting adverse events in patients in HHC, incorporating diverse data types and demonstrating high predictive accuracy. The findings highlight the importance of considering established and novel risk factors in HHC. Importantly, the observed performance disparities across subgroups emphasize the need for fairness adjustments to ensure equitable risk prediction across all patient populations.

Application of the Omaha System-Based Continuous Care Model in Diabetes Health Management for Outpatients within the Framework of "Internet +"

Aims/Background Diabetes is a chronic lifelong condition that requires consistent self-care and daily lifestyle adjustments. Effective disease management involves regular blood glucose monitoring and ongoing nursing support. Inadequate education and poor self-management are key factors contributing to increased mortality among diabetic individuals. Providing personalized guidance and behavioral interventions through continuous nursing care is crucial for achieving optimal glycemic control and fostering positive societal outcomes. This study aimed to evaluate the impact of an Omaha System-based continuous nursing model, implemented through the "Internet+" framework, on enhancing self-health management skills, glycemic control, and treatment adherence among patients with type 2 diabetes mellitus (T2DM). Methods This retrospective study analyzed clinical data of T2DM patients who visited the diabetes health management clinic of Zhang Ye People's Hospital affiliated to Hexi University between December 2023 and May 2024. Participants were categorized into intervention and control groups based on whether they received the "Internet+"-enabled Omaha System continuous nursing care model. Variables, including demographic characteristics, self-management behaviors, cognitive abilities, environmental factors, glycemic control indicators, and treatment adherence (medication compliance, dietary compliance, lifestyle adherence, and follow-up punctuality), were assessed and compared at baseline, 1 month, and 3 months post-intervention. Results The study included 52 patients in the intervention group and 68 in the control group. Baseline characteristics revealed no significant differences between the two groups (p > 0.05). At 1 and 3 months post-intervention, the intervention group exhibited significant improvements in self-management behaviors, cognitive abilities, environmental factors, and overall scores compared to baseline and the control group (p < 0.05). Fasting plasma glucose (FPG) levels were also significantly reduced in the intervention group compared to baseline and the control group (p < 0.05). 3 months post-intervention, the intervention group demonstrated significantly higher adherence rates to dietary recommendations, healthy lifestyle practices, and treatment compliance compared to the control group (p < 0.05). Conclusion The "Internet+"-based Omaha System continuous nursing model significantly enhances self-health management capabilities, stabilizes glycemic control, and promotes adherence to healthy behaviors among patients with T2DM. These findings highlight the potential of the model for broader clinical application in diabetes management.

The Impact of Hospice Care Structures on Care Processes: A Retrospective Cohort Study

Background: Palliative care is subject to substantial variations in care, which may be shaped through adapting the organisational structures through which care is provided. Whilst the goal of these structures is to improve patient care, there is a lack of evidence regarding their effect on care processes and patient outcomes. Aims: This study aims to describe the relationship between care structures and the quantity and domains of care processes in hospice care. Design: Retrospective cohort study. Settings/Participants: Data were collected from Dutch hospice patient's clinical records and hospice surveys, detailing hospice structures, patient clinical characteristics and care processes. Results: 662 patients were included from 42 hospices, mean age 76.1 years. Hospices were categorised according to their care structures - structured clinical documentation and multidisciplinary meetings. Patients receiving care in hospices with structured multidisciplinary meetings had an increased quantity of documented care processes per patient on admission through identification (median 4 vs 3, P < .001), medication (2 vs 1, P = .004) and non-medication (1 vs 0, P < .001) interventions, monitoring (2 vs 1, P < .001) and evaluation (0 vs 0, P = .014), and prior to death. Similar increases were identified for patients who received care in hospices with structured documentation upon admission, but these changes were not consistent prior to death. Conclusions: This study details that the care structures of documentation and multidisciplinary meetings are associated with increased quantity and breadth of documentation of care processes in hospice care. Employing these existing structures may result in improvements in the documentation of patient care processes, and thus better communication around patient care.

Omaha System-Based Extended Nursing Care in Hypertensive Cerebral Hemorrhage: A Randomized Study

BACKGROUND

Traditional nursing care often fails to meet the complex needs of hypertensive cerebral hemorrhage patients. Limited evidence exists on the efficacy of structured nursing frameworks such as the Omaha System in postoperative care for these patients.

OBJECTIVE

This study aims to evaluate the efficacy of Omaha-based extended nursing care in improving patients' outcomes.

METHODS

This randomized controlled trial included 53 patients with hypertensive cerebral hemorrhage admitted to the neurosurgical department of a large tertiary hospital in Chengdu, China, from March to September 2023. Participants were randomly assigned to either the traditional nursing care (n = 26) or the Omaha-based nursing care in addition to the traditional nursing care (n = 27). Outcomes included self-health management abilities, anxiety and depression levels, quality-of-life, and functional independence. Data were collected before nursing care and 1- and 3-months post-nursing care.

RESULTS

Omaha-based nursing care demonstrated improvements in self-health management abilities, with cognition scores increasing from a baseline of 31.65 (4.37) to 57.32 (5.11) at 3-months (mean difference: 25.67, 95%CI [23.45, 27.89], p = .01). Anxiety levels decreased in the Omaha-based nursing group, with SAS scores reducing from 45.71 (3.48) to 28.26 (2.74) at 3-months (mean difference: -17.45, 95% CI [-19.02, -15.88], p < .01). Quality-of-life scores improved in the Omaha-based nursing group, increasing from 6.3 (1.2) to 7.9 (0.9) at 3-months (mean difference: 1.6, 95% CI [1.12, 2.08], p = .03). Functional independence scores were also higher in the Omaha-based nursing group at 3-months (mean difference: 9.2, 95% CI [6.11, 12.29], p = .03).

CONCLUSION

Our findings support the integration of the Omaha System into postoperative care protocols for this patient population. However, further validation is warranted by larger trials.

Exploring home healthcare clinicians' needs for using clinical decision support systems for early risk warning

OBJECTIVES

To explore home healthcare (HHC) clinicians' needs for Clinical Decision Support Systems (CDSS) information delivery for early risk warning within HHC workflows.

METHODS

Guided by the CDS "Five-Rights" framework, we conducted semi-structured interviews with multidisciplinary HHC clinicians from April 2023 to August 2023. We used deductive and inductive content analysis to investigate informants' responses regarding CDSS information delivery.

RESULTS

Interviews with thirteen HHC clinicians yielded 16 codes mapping to the CDS "Five-Rights" framework (right information, right person, right format, right channel, right time) and 11 codes for unintended consequences and training needs. Clinicians favored risk levels displayed in color-coded horizontal bars, concrete risk indicators in bullet points, and actionable instructions in the existing EHR system. They preferred non-intrusive risk alerts requiring mandatory confirmation. Clinicians anticipated risk information updates aligned with patient's condition severity and their visit pace. Additionally, they requested training to understand the CDSS's underlying logic, and raised concerns about information accuracy and data privacy.

DISCUSSION

While recognizing CDSS's value in enhancing early risk warning, clinicians highlighted concerns about increased workload, alert fatigue, and CDSS misuse. The top risk factors identified by machine learning algorithms, especially text features, can be ambiguous due to a lack of context. Future research should ensure that CDSS outputs align with clinical evidence and are explainable.

CONCLUSION

This study identified HHC clinicians' expectations, preferences, adaptations, and unintended uses of CDSS for early risk warning. Our findings endorse operationalizing the CDS "Five-Rights" framework to optimize CDSS information delivery and integration into HHC workflows.

Evaluating the introduction of positive health on the amount of received home care among older patients: A pre-post study

BACKGROUND

The increasing demand for home care services can be attributed to demographic shifts. Positive Health can be defined as the capacity to adapt and promote self-reliance in social, physical, and emotional challenges.

PURPOSE

This study aimed to explore the influence of introducing Positive Health on the amount of home care nursing for older patients, measured in minutes per week over a six-week period.

METHOD

A pretest-posttest study involving 176 randomly selected patients in each group. Data was extracted from the Electronic Health Record of a large home care organization in the Netherlands.

FINDINGS

Post-introduction of Positive Health, the median weekly home care amount significantly decreased (176.25 minutes, IQR=111.7-287.9) compared to pre-introduction (180.67 minutes, IQR=83.8-248.7, p=0.005). Significant differences in nursing diagnoses per patient group were observed (p<0.001).

DISCUSSION

Further research is needed to observe the long-term impact of working with Positive Health concept on patient outcomes in home care setting.

Reflections of the COVID-19 pandemic on health problems of children with special needs

OBJECTIVE

This research aimed to examine changes caused by the COVID-19 pandemic in activities of daily living and health status of children with special needs.

METHOD

The current descriptive and comparative study was carried out with 82 students studying at a special education practice school that provided daytime education to children with special needs before and during the COVID-19 pandemic. The Personal Information Form, the Katz Index of Independence in Activities of Daily Living, and the Omaha System Problem Classification Scheme were employed as data collection tools in the research.

RESULTS

The 10 most common problems during the COVID-19 pandemic were stated as cognition (86.6%), mental health (75.6%), speech and language (85.4%), interpersonal relationships (79.3%), personal care (79.3%), social contact (64.6%), growth and development (63.4%), neighborhood/workplace safety (58.5%), communication with community resources (57.3%), and caretaking/parenting (n = 47, 57.3%). The incidence of "cognition," "speech and language," "neighborhood/workplace safety," "communication with community resources," and "caretaking/parenting" problems of children with special needs was significantly higher during the pandemic than before the pandemic (p < 0.05; p < 0.001).

CONCLUSION

The current research emphasized the significant impacts on the health of children with physical and mental disabilities and loss of opportunity, as their education was considerably interrupted during the quarantine. During a pandemic, the regular evaluation of health benefits/risks is essential to ensure the continuity of medical follow-up, rehabilitation, education, and support mechanisms for children with disabilities.

FHIR-up! Advancing knowledge from clinical data through application of standardized nursing terminologies within HL7® FHIR®

Health Level 7®'s (HL7) Fast Healthcare Interoperability Resources® (FHIR®) is leading new efforts to make data available to healthcare clinicians, administrators, and leaders. Standardized nursing terminologies were developed to enable nursing's voice and perspective to be visible within the healthcare data ecosystem. The use of these SNTs has been shown to improve care quality and outcomes, and to provide data for knowledge discovery. The role of SNTs in describing assessments and interventions and measuring outcomes is unique in health care, and synergistic with the purpose and goals of FHIR. FHIR acknowledges nursing as a discipline of interest and yet the use of SNTs within the FHIR ecosystem is rare. The purpose of this article is to describe FHIR, SNTs, and the potential for synergy in the use of SNTs with FHIR. Toward improving understanding how FHIR works to transport and store knowledge and how SNTs work to convey meaning, we provide a framework and examples of SNTs and their coding for use within FHIR solutions. Finally, we offer recommendations for the next steps to advance FHIR-SNT collaboration. Such collaboration will advance both nursing specifically and health care in general, and most importantly, improve population health.

Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care

OBJECTIVE

This study aimed to identify temporal risk factor patterns documented in home health care (HHC) clinical notes and examine their association with hospitalizations or emergency department (ED) visits.

MATERIALS AND METHODS

Data for 73 350 episodes of care from one large HHC organization were analyzed using dynamic time warping and hierarchical clustering analysis to identify the temporal patterns of risk factors documented in clinical notes. The Omaha System nursing terminology represented risk factors. First, clinical characteristics were compared between clusters. Next, multivariate logistic regression was used to examine the association between clusters and risk for hospitalizations or ED visits. Omaha System domains corresponding to risk factors were analyzed and described in each cluster.

RESULTS

Six temporal clusters emerged, showing different patterns in how risk factors were documented over time. Patients with a steep increase in documented risk factors over time had a 3 times higher likelihood of hospitalization or ED visit than patients with no documented risk factors. Most risk factors belonged to the physiological domain, and only a few were in the environmental domain.

DISCUSSION

An analysis of risk factor trajectories reflects a patient's evolving health status during a HHC episode. Using standardized nursing terminology, this study provided new insights into the complex temporal dynamics of HHC, which may lead to improved patient outcomes through better treatment and management plans.

CONCLUSION

Incorporating temporal patterns in documented risk factors and their clusters into early warning systems may activate interventions to prevent hospitalizations or ED visits in HHC.

Tailored Nurse Support Program Promoting Positive Parenting and Family Preservation

BACKGROUND

Public health nurse home visiting is a promising approach for addressing the complex needs of families at risk of child maltreatment. The Colorado Nurse Support Program advances service provision by using evidence-based practices to provide tailored assessment and intervention to low-income, primiparous, and multiparous families with children under 18 years of age identified as high risk by county human service systems.

OBJECTIVES

This study aimed to test the effects of the Nurse Support Program on child protective services case characteristics between Nurse Support Program families and a demographically comparable reference group of families and evaluate changes in parenting outcomes from pre- to postprogram involvement for Nurse Support Program families.

METHODS

We used a matched comparison group quasi-experimental design in which families in the Nurse Support Program ( n = 48) were compared to families ( n = 150) who were identified using administrative data from Colorado's Comprehensive Child Welfare Information System. Outcomes were child protective case characteristics (child protection referrals, open assessments, founded assessments, open cases, and children's placement in out-of-home care) and parenting outcomes.

RESULTS

Nurse Support Program families were less likely to have a child protection case opened or have their child placed in out-of-home care. There were no significant between-group differences in child protection referrals, open assessments, or founded assessments. Families in the Nurse Support Program showed improvements in parenting outcomes over time.

DISCUSSION

Findings suggest that the Nurse Support Program is a successful public health nurse home-visiting approach to promote positive parenting and family preservation among families with complex needs. Implementing tailored public health nurse home-visiting programs, such as the Nurse Support Program, should continue to be evaluated and supported to mitigate the public health risk of child maltreatment.

Content Validity of the Omaha System Target Terms for Integrative Healthcare Interventions

Background and Purpose: The objective of this study was to examine the content validity of the Omaha System to represent integrative healthcare (IH) interventions.Methods: A two-step classification procedure was used to validate Omaha System target terms that can represent IH interventions. Target terms were initially sorted based on evidence of use in IH interventions, including systematic reviews published in scientific journals and the Omaha System Guidelines website. Three Omaha System and integrative nursing content experts reviewed and validated target terms based on their definitions. Expert comments were reviewed and addressed, and final decisions were reached by consensus.Results: The content validity of Omaha System target terms was established for 49 of 75 (65.3%) target terms for IH interventions. These 49 targets were employed in 1145 of 1639 (69.9%) interventions in all Omaha System guidelines available online.Implications for Practice: A majority of Omaha System target terms may be used to represent IH interventions. Use of the Omaha System may facilitate efficient, structured, and thorough IH data collection to leverage informatics technology for supporting IH intervention clinical decisions, delivery, evaluation, and knowledge discovery.

Research Types and New Trends on the Omaha System Published From 2012 to 2019: A Scoping Review

The Omaha System is a popular and standard term used in community health. This scoping review aimed to update the research types and identify new usage trends for the Omaha System through articles published between 2012 and 2019. The bibliography databases PubMed, CINAHL, Scopus, PsycInfo, Ovid, and ICHUSHI and the Omaha System's Web site were used to search for publications. Research articles published between 2012 and 2019 that included "Omaha System" in the title or abstract and were written in English or Japanese were included in this review. After excluding duplicate articles, 305 articles were screened and 82 were included in our analysis. There was a median of 10.3 articles per year. The percentages for each type of use of the Omaha System to "analyze client problem," "analyze clinical process," "analyze client outcomes," and "advanced classification research" were 18.3%, 12.2%, 23.2%, and 4.9%, respectively. The reclassification of the type "others" (41.5%) included "use the Omaha System data for assessment for other than clients," "use the Omaha System data as structured data," "encode by the Omaha System code," "adopt the OS framework," "clinical information system," and "literature review." This newly reclassified category will help capture future research trends using the Omaha System.

Scope and activities of M&#x101;ori health provider nurses: an audit of nurse&#x2013;client encounters

Introduction The activities and consultations undertaken by Māori health provider nurses are likely broad and operate within a Māori nursing model of care. However, there is little quantitative evidence to document and describe these encounters with clients. The Omaha coding system provides a mechanism in which to quantify nursing encounters through classifying client problems by domain, interventions and specific targets relating to interventions. Aim The aim of this study was to document the types of encounters and interventions undertaken by Māori health provider nurses. Methods An audit was undertaken of patient encounters occurring within a Māori health provider between 1 January 2020 and 31 December 2020. Encounters were randomly selected and problems, activities and interventions coded utilising the Omaha coding system. Simple descriptive statistics were used. Results A total of 5897 nurse-client encounters occurred over the study period. Overall, 61% of the audited nurse-client encounters related to the physiological domain and only 6% of encounters were related to the psychosocial domain. And 29% of nursing interventions involved teaching/guiding/counselling and a further 29% of interventions were case management. Discussion The wide variety of conditions seen and the number of interventions carried out indicate the broad scope of Māori health provider nurses. However, there were likely undocumented problems, which could reflect the medicalisation of the electronic health record. Redesigning electronic health records to apply more of a nursing and Māori health provider lens may facilitate more inclusive ways of documentation.

Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians

OBJECTIVE

To identify the risk factors home healthcare (HHC) clinicians associate with patient deterioration and understand how clinicians respond to and document these risk factors.

METHODS

We interviewed multidisciplinary HHC clinicians from January to March of 2021. Risk factors were mapped to standardized terminologies (eg, Omaha System). We used directed content analysis to identify risk factors for deterioration. We used inductive thematic analysis to understand HHC clinicians' response to risk factors and documentation of risk factors.

RESULTS

Fifteen HHC clinicians identified a total of 79 risk factors that were mapped to standardized terminologies. HHC clinicians most frequently responded to risk factors by communicating with the prescribing provider (86.7% of clinicians) or following up with patients and caregivers (86.7%). HHC clinicians stated that a majority of risk factors can be found in clinical notes (ie, care coordination (53.3%) or visit (46.7%)).

DISCUSSION

Clinicians acknowledged that social factors play a role in deterioration risk; but these factors are infrequently studied in HHC. While a majority of risk factors were represented in the Omaha System, additional terminologies are needed to comprehensively capture risk. Since most risk factors are documented in clinical notes, methods such as natural language processing are needed to extract them.

CONCLUSION

This study engaged clinicians to understand risk for deterioration during HHC. The results of our study support the development of an early warning system by providing a comprehensive list of risk factors grounded in clinician expertize and mapped to standardized terminologies.

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.

Application of the OMAHA System in the education of nursing students: A systematic review and narrative synthesis

AIM

The aim of this systematic review was to synthesize evidence on the application of the Omaha System in the education of nursing students and to provide advice for educators to apply the Omaha System to practice and research effectively and meaningfully.

BACKGROUND

It is a necessary part of nursing education to provide students with informatics experience. The Omaha System is a standardized nursing terminology designed to enhance practice, documentation, and information management.

DESIGN

A systematic review and narrative synthesis.

METHODS

Studies from eight databases (PubMed, Web of Science, Embase, CINAHL, PsycINFO, China Biology Medicine disc, CNKI, Wanfang Data) were systematically retrieved. Twenty-three articles were found and synthesized.

RESULTS

Existing studies showed that the Omaha System was mainly applied in student community practice as a tool for guiding practice and collecting information, and the practice data were used by educators to analyse the outcomes of nursing education. Recently, the Omaha System was introduced into the classroom environment and achieved positive results in terms of teaching. Students' feedback on the use of the Omaha System was generally positive.

CONCLUSIONS

The Omaha System can be an active teaching and learning tool for nursing education, and further research is needed to explore and realize its potential in the field of education.

Usability Evaluation by Nurses of a Knowledge-Based System of Care Plans for People Hospitalized by COVID-19

The aim of this study is to analyze the usability by nurses of the Knowledge-Based System "Diagnostics care for COVID-19." A convenience sample of 16 nurses was selected, among hospital workers and external experts. The group was divided into three subgroups intentionally to obtain different usability perspectives. Usability was evaluated by the System Usability Scale questionnaire. The participants completed the questionnaire on general usability, data inputs, and information output, after completing a minimum of 12 care plans. The first subgroup used real cases and the "think aloud" technique, the second simulated cases from the same hospital, and the third subgroup performed the external simulation. The highest scores were obtained in data inputs (94.38-97.50); and the lowest, in general usability (90.00-95.00). The subgroup of external experts scored the highest (93.13-95.63), and the first subgroup, which carried out real cases, gave the lowest score (90.00-94.38). The "think aloud" technique found an improvement in including more diagnoses and being able to carry out several plans for one person at the same time. The usability obtained was "excellent" in all subgroups and questionnaires, although the application showed limitations related to its characteristics imposed in the requirements specification.

Diagnostics of care about environment: A systematic review through nursing taxonomies

AIM

To analyse the representation of the environment in nursing diagnostic taxonomies.

DESIGN

Systematic scoping review through nursing taxonomies.

METHODS

The first phase identified nursing diagnostic taxonomies by systematic review. The diagnoses were associated with the environment by analysis of terms into the diagnosis label and definition. Data analysis was quantitative with frequency measurements. The second phase mapped the identified diagnoses to establish equivalences using analysis by terms in the diagnostic labels. Finally, the findings obtained in the first phase were compared with the OMAHA System.

RESULTS

The bibliographic search identified 112 studies and 16 standardized languages for diagnoses. NANDA-I and ICNP were the most frequent taxonomies; ATIC, the most recent; and OMAHA, the oldest. 2,062 diagnoses from four diagnostic taxonomies were analysed, and 361 associations corresponding to 352 environmental diagnoses were identified. All taxonomies included the environment but with different weight relative to the interpersonal and geopolitical category.

Use of standardized terminologies in clinical practice: A scoping review

AIM

To explore the use and impact of standardized terminologies (STs) within nursing and midwifery practice.

INTRODUCTION

The standardization of clinical documentation creates a potential to optimize patient care and safety. Nurses and midwives, who represent the largest proportion of the healthcare workforce worldwide, have been using nursing-specific and multidisciplinary STs within electronic health records (EHRs) for decades. However, little is known regarding ST use and impact within clinical practice.

METHODS

A scoping review of the literature was conducted (2019) across PubMed, CINAHL, Embase and CENTRAL in collaboration with the Five Country Nursing and Midwifery Digital Leadership Group (DLG). Identified studies (n = 3547) were reviewed against a number of agreed criterion, and data were extracted from included studies. Studies were categorized and findings were reviewed by the DLG.

RESULTS

One hundred and eighty three studies met the inclusion criteria. These were conducted across 25 different countries and in various healthcare settings, utilising mainly nursing-specific (most commonly NANDA-I, NIC, NOC and the Omaha System) and less frequently local, multidisciplinary or medical STs (e.g., ICD). Within the studies, STs were evaluated in terms of Measurement properties, Usability, Documentation quality, Patient care, Knowledge generation, and Education (pre and post registration). As well as the ST content, the impact of the ST on practice depended on the healthcare setting, patient cohort, nursing experience, provision of education and support in using the ST, and usability of EHRs.

CONCLUSION

Employment of STs in clinical practice has the capability to improve communication, quality of care and interoperability, as well as facilitate value-based healthcare and knowledge generation. However, employment of several different STs and study heterogeneity renders it difficult to aggregate and generalize findings.

The effects of Nurse Led Transitional Care Model on elderly patients undergoing open heart surgery: a randomized controlled trial

AIMS 

Rate and number of successful cases in open heart surgery has been increasing due to the advances in medical technology and surgery. To improve patient convalescence results and reduce rate of post-discharge readmission to hospital and unplanned post-discharge rehospitalization, home-care and follow-up process of patients should be managed successfully. To evaluate the effectiveness of Nurse Led Transitional Care Model on the functional autonomy, quality of life, readmission, and rehospitalization rates of elderly patients undergoing open heart surgery. A randomized controlled trial was conducted from November 2017 to December 2018 and performed according to the CONSORT Guidelines.

METHODS AND RESULTS 

Sixty-six elderly patients were randomly allocated to the intervention (n: 33) and control (n: 33) groups. Patients in intervention group were given care based on the Transitional Care Model until the post-discharge 9th week starting from date of hospitalization. Patients in control group were given standard care services. Functional autonomy, quality of life levels, and repeated admission/re-hospitalization rates to the clinic were evaluated. The Functional Autonomy Measurement System and SF-36 Quality of Life Scale scores of the intervention group were higher than that of the control group at the 9th week (P < 0.05). In addition, rate of readmission and rehospitalization during the follow-up period (6 months) of patients in the intervention group was found to be lower than the patients in the control group (P < 0.05).

CONCLUSION 

Care services offered under the Transitional Care Model improved functional autonomy and quality of life and decreased post-discharge hospital readmission and rehospitalization rates of patients.

TRIAL REGISTRATION

The study was registered on ClinicalTrials.gov (ID: NCT04384289).

Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review

OBJECTIVE

The study sought to present the findings of a systematic review of studies involving secondary analyses of data coded with standardized nursing terminologies (SNTs) retrieved from electronic health records (EHRs).

MATERIALS AND METHODS

We identified studies that performed secondary analysis of SNT-coded nursing EHR data from PubMed, CINAHL, and Google Scholar. We screened 2570 unique records and identified 44 articles of interest. We extracted research questions, nursing terminologies, sample characteristics, variables, and statistical techniques used from these articles. An adapted STROBE (Strengthening The Reporting of OBservational Studies in Epidemiology) Statement checklist for observational studies was used for reproducibility assessment.

RESULTS

Forty-four articles were identified. Their study foci were grouped into 3 categories: (1) potential uses of SNT-coded nursing data or challenges associated with this type of data (feasibility of standardizing nursing data), (2) analysis of SNT-coded nursing data to describe the characteristics of nursing care (characterization of nursing care), and (3) analysis of SNT-coded nursing data to understand the impact or effectiveness of nursing care (impact of nursing care). The analytical techniques varied including bivariate analysis, data mining, and predictive modeling.

DISCUSSION

SNT-coded nursing data extracted from EHRs is useful in characterizing nursing practice and offers the potential for demonstrating its impact on patient outcomes.

CONCLUSIONS

Our study provides evidence of the value of SNT-coded nursing data in EHRs. Future studies are needed to identify additional useful methods of analyzing SNT-coded nursing data and to combine nursing data with other data elements in EHRs to fully characterize the patient's health care experience.

Efficacy of Omaha system-based nursing management on nutritional status in patients undergoing peritoneal dialysis: A randomized controlled trial protocol

ABSTRACT

The chronic kidney disease (CKD) patients may have a variety of complications during receiving peritoneal dialysis (PD). The malnutrition in CKD patients is related to their lower life quality, higher hospitalization rates, and higher risk of cardiovascular disease, as well as the increased morbidity and mortality. Hence, it is very important to monitor and then manage the nutritional status of CKD patients. Thus, we perform this randomized controlled study protocol to introduce a continuing nursing program based on Omaha system (OS) for the patients with CKD receiving PD treatment.The randomized trial will be implemented from November 2020 to May 2021 and was granted through the Research Ethics Committee of Wuhan No.1 Hospital (2020003281). Two hundred patients meet inclusion criteria and exclusion criteria are included.Patients who meet the following criteria will be selected: voluntary participation, aged 20 to 60; undergoing the regular PD treatment for at least 3 months. Patients will be excluded if the patients are in unstable status, or experience the intermittent PD or some other kinds of dialysis mode, have severe cachexia, infection, or malnutrition, or if they have mental disorders. In control group, patients are given routine treatment, containing general guidance associated with PD and the outpatient telephone calls from the clinical nurses during follow-up. In study group, the patients are given the continuous nursing treatment scheme based on OS. The clinical results are the biochemical parameters after intervention, anthropometry, as well as the subjective global assessment.Table 1 reveals the clinical endpoints between the 2 groups.This protocol can guide nurses to develop a nursing program based on evidence for patients with CKD receiving PD.

TRIAL REGISTRATION

This study protocol was registered in Research Registry (researchregistry6202).

Medication interventions for African-American adults: Practice-based evidence from two nurse-led clinics

OBJECTIVE

This study was conducted to describe and examine the impact of medication intervention practices among African-American clients in two nurse-led community nursing centers (CNCs).

METHODS

This study used a retrospective-descriptive design. Omaha System data from visits of 196 African-American adults living with chronic disease and having two or more CNC visits in which medication regimen was an identified problem and the main reason for the visit was analyzed.

RESULTS

The sample had a mean age of 53.1 (6.67) and was primarily women (82%), uninsured, and with high school or less education. A total of 9,259 Medication regimen interventions were documented and implemented during 1,146 client CNC visits. A paired samples t test revealed statistically significant improvements in Knowledge (t = 2.434, p < .01). Behavior (t = 0.077, p = .94) and Status (t = 1.489, p = .14) remained unchanged, although the ratings trended toward improvement for each.

CONCLUSION

This study provides evidence that the nursing center model of care does improve the knowledge of medications among African-American clients. The study also demonstrated the Omaha System's utility to evaluate the impact of nursing interventions in community settings.

Problematic Internet Use and Digital Gaming in Adolescents: Problems, Nursing Interventions, and Outcomes

The aim of the current study was to determine problems of adolescents with problematic internet use and digital gaming using the Omaha System and to evaluate the results by applying nursing interventions. Data were collected using the Internet Addiction Test, Digital Game Addiction Scale, and Nightingale Notes software. The sample comprised 30 adolescents selected from a total of 125 adolescents with problematic internet use and digital gaming from a high school. Results showed that problematic internet use and digital gaming rates were higher in males compared to females. Seven problems identified most frequently among adolescents were: mental health, vision, pain, sleep and rest patterns, nutrition, social contact, and physical activity. The Omaha System can be used by psychiatric-mental health nurses and school nurses to determine the problems of adolescents with problematic internet use and digital gaming, apply interventions, and evaluate health outcomes. [Journal of Psychosocial Nursing and Mental Health Services, 58(12), 51-59.].

Using the Omaha System to Evaluate the Integration of Behavioral Health Services into Nurse-Led Primary Health Care

Integrating behavioral health services into nurse-led primary care at one location ensures that individuals receive a comprehensive array of preventive and restorative services, based on their varying needs. A formative program evaluation of a federally funded behavioral health integration (BHI) project in a small nurse-led clinic used the Omaha System taxonomy to explore the changes in the documented practice of providers due to the BHI implementation. The evaluation provided evidence of the benefits of a collaborative care model to urban low-income, underserved, adults who were predominantly African American/Blacks.

Use of electronic health records and standardized terminologies: A nationwide survey of nursing staff experiences

BACKGROUND

Nursing documentation could improve the quality of nursing care by being an important source of information about patients' needs and nursing interventions. Standardized terminologies (e.g. NANDA International and the Omaha System) are expected to enhance the accuracy of nursing documentation. However, it remains unclear whether nursing staff actually feel supported in providing nursing care by the use of electronic health records that include standardized terminologies.

OBJECTIVES

a. To explore which standardized terminologies are being used by nursing staff in electronic health records. b. To explore to what extent they feel supported by the use of electronic health records. c. To examine whether the extent to which nursing staff feel supported is associated with the standardized terminologies that they use in electronic health records.

DESIGN

Cross-sectional survey design.

SETTING AND PARTICIPANTS

A representative sample of 667 Dutch registered nurses and certified nursing assistants working with electronic health records. The respondents were working in hospitals, mental health care, home care or nursing homes.

METHODS

A web-based questionnaire was used. Descriptive statistics were performed to explore which standardized terminologies were used by nursing staff, and to explore the extent to which nursing staff felt supported by the use of electronic health records. Multiple linear regression analyses examined the association between the extent of the perceived support provided by electronic health records and the use of specific standardized terminologies.

RESULTS

Only half of the respondents used standardized terminologies in their electronic health records. In general, nursing staff felt most supported by the use of electronic health records in their nursing activities during the provision of care. Nursing staff were often not positive about whether the nursing information in the electronic health records was complete, relevant and accurate, and whether the electronic health records were user-friendly. No association was found between the extent to which nursing staff felt supported by the electronic health records and the use of specific standardized terminologies.

CONCLUSIONS

More user-friendly designs for electronic health records should be developed. The poor user-friendliness of electronic health records and the variety of ways in which software developers have integrated standardized terminologies might explain why these terminologies had less of an impact on the extent to which nursing staff felt supported by the use of electronic health records.

Evaluation of Nursing Practice in Patients With HIV/AIDS With the Omaha System Electronic-Based Information Program: A Retrospective Study

The Omaha System is a standardized health care terminology that has been used in many different settings for nursing care worldwide for more than 20 years. In Turkey, it has been used mainly in nursing education and research. In this context, the purpose of this study was to examine paper-based nursing care plans of inpatients with HIV/AIDS according to the Omaha System and to assess the clinical suitability of the Omaha System. The study has a descriptive-retrospective design and was carried out at the Department of Infectious Diseases and Clinical Microbiology in a hospital. The sample consisted of 30 patients with HIV/AIDS who were chosen randomly from patients hospitalized between January 2007 and April 2017. Nursing care plans were reevaluated and encoded according to the Omaha System. The five most frequently diagnosed problems were oral health (27.2%), neuromusculoskeletal function (20.2%), communicable/infectious condition (19.4%), skin condition (13.2%), and circulation (5.7%). A total of 4409 nursing interventions were applied to solve the problems, and almost 74% of the interventions were categorized in the surveillance. Among the targets, physical signs/symptoms were indicated for more than 68% (3.026). The results confirmed the clinical suitability of the Omaha System.

Health Assessment of Chinese Adolescents with Epilepsy in the Preparatory Phase of Transition Process from Pediatric to Adulthood:A Single-Center Study Using the Omaha System

OBJECTIVE

Epilepsy is one of the most common childhood-onset neurological disorder characterized by both seizures and the related comorbidities. The preparatory phase in transition refers to a dynamic process of identifying and resolving health issues to ensure seamless continuing care from childhood to adulthood. This study identifies the health issues of the preparatory phase in transition from children to adulthood using the Omaha System.

METHODS

This prospective, single-center study enrolled 86 adolescents with epilepsy in China. The Problem Classification Scheme and Problem Rating Scale for Outcomes of Omaha System were used to evaluate transition-induced health problems.

RESULTS

These health problems cover all four domains of the problem classification scheme of the Omaha System, and the specific distribution is related to the type of epilepsy. The results of the four-category classification evaluation showed that the most common health problem is health-related behavioral problems (46.1%), followed by psychosocial problems (23.0%), physiological problems (20.6%), and environmental problems (10.3%). The distribution of these health problems in generalized seizures, focal seizures, and generalized-focal seizures are significantly different (P < 0.01). The results of the outcome rating scale showed that 83.4% of the children had minimal knowledge, 84.2% had inconsistently appropriate behaviors, and 86.7% had moderate symptoms.

CONCLUSIONS

The health problems of patients with epilepsy during the preparatory phase of transition process from pediatric to adulthood should be emphasized. Identification of health problems though the Omaha System can improve management for adolescents with epilepsy, including prevention, nursing care, social support, and therapeutic interventions.

Design and implementation of an Omaha System-based integrated nursing management model for patients with newly-diagnosed diabetes

AIMS

The aim of the present paper was to establish and implement an integrated nursing management model for patients with newly-diagnosed type 2 diabetes mellitus (T2DM) based on the Omaha System and to explore its impact on blood glucose levels, quality of life, and diabetes knowledge in these patients.

METHODS

A non-randomized concurrent controlled trial was designed and the study was conducted in a hospital on the east coast of China between September 2013 and November 2015. We screened for patients with newly-diagnosed T2DM in 12 clinics of 3 comprehensive hospitals. A total of 367 patients with newly-diagnosed T2DM were assigned into two groups. In the intervention group, patients received routine outpatient care plus integrated nursing management; in the control group, only routine outpatient care was given. Changes in blood glucose levels, quality of life, and diabetes knowledge in both groups before the intervention and 6 months after the intervention were observed and compared.

RESULTS

At the 6months, blood glucose levels, quality of life, and diabetes knowledge in the intervention group were significantly superior to those in the control group (all P<0.01).

CONCLUSIONS

The integrated nursing management model was able to improve patients' glucose levels, quality of life, and diabetes knowledge.

[Reporting of Nursing Care Preventing Surgical Site Infection in Colorectal Cancer Patients with Omaha System]

Amaç

Kolorektal Kanser hastalarında Cerrahi Alan Enfeksiyonu (CAE) kontrolü ile ilgili hemşirelik bakım sürecini, Türkçe-Nightingale Notes (T-NN)” programı kullanarak yönetmek / belgelemek ve programın kullanılabilirliğini sınamaktır.

Yöntem

Araştırmanın örneklemini 1 Mart- 31 Ekim 2015 tarihleri arasında bir üniversite hastanesinde kolorektal ameliyatı geçiren 30 hasta oluşturdu. Hastanede ve taburculuk sürecinde verilen hemşirelik bakımı verileri, Omaha Sistemi’ne dayalı T-NN programına kodlandı. Tanımlayıcı istatistikler SPSS 22 programı kullanılarak yapıldı.

Bulgular

Örneklemin %56.7’si kadın ve %43.3’ü erkekti. Otuz hastanın dördünde CAE gelişti (%13.3). Türkçe Nightingale Notes (T-NN) programından seçilen dokuz hemşirelik probleminin %51.1’i “Deri”, %13.2’si “Bulaşıcı/Enfeksiyon Durumu”, %9.4’ü “Beslenme” ve %0.2’si “Cinsellik” ile ilgili idi. Problemlerin çözümünde, sistemde dört kategoride tanımlanan “Eğitim, Rehberlik ve Danışmanlık; Tedavi ve İşlem; Vaka Yönetimi ve Sürveyans girişimleri kullanıldı. Hemşirelik bakımı/hasta sonuçları “Bilgi,” “Davranış” ve “Durum” düzeyinde değerlendirildi. Cerrahi Alan Enfeksiyonu gelişen hastalarda her üç düzeyde, potansiyel problemler için girişim uygulanan hastalarda “Bilgi” ve “Davranış” düzeyinde anlamlı iyileşme görüldü (p<0.001).

Sonuç

Türkçe-Nightingale Notları-T-NN” programı, kolorektal cerrahi hastalarda CAE’ye yönelik hemşirelik bakım sürecini tanımlamada yeterli oldu. T-NN programının enfeksiyon kontrol hemşireleri tarafından kullanılabileceğini gösterdi. Programın farklı birimlerde ve farklı problem ve örneklem ile kullanılması önerildi. Bu çabalar hemşirelikte ortak dil kullanmak, hemşirelik uygulamalarını kanıta dayandırmak ve hemşirelik bakımının değerini ortaya koymak için fırsat sağlayabilir.

A Practice-Based Research Database to Study Perinatal Nurse Home Visiting to Pregnant Women With Diabetes

BACKGROUND AND AIMS

Accumulation of real-world evidence from practice-based perinatal nurse home visits to pregnant women with diabetes prompted this translational perinatal health disparities research. Given the global diabetes epidemic, this academic-community partnered research team is studying the utilization, processes, and outcomes of this understudied model of perinatal nurse home visiting that provide home-based enhanced diabetes care to pregnant women. Because the nursing records provide the rich source of data for the study, our aim is to provide an in-depth description of the Philadelphia Pregnancy and Diabetes Home Visiting (PPD-HV) research database developed from data in the longitudinal nursing records.

METHODS

This descriptive study uses retrospective data abstracted from paper-based perinatal nurse home visiting clinical records to create the PPD-HV, a HIPAA compliant, secure REDCap electronic research database. The sample includes 248 urban, pregnant women with diabetes who received a total of 1,644 home visits during the year 2012. The setting was Philadelphia, a large metropolitan city in the northeastern part of the United States. The PPD-HV database followed the information fields of the paper-based clinical nursing forms, which were originally designed by following the Omaha System to guide documenting the nursing process used in caring for patients in their homes.

RESULTS

Using REDCap, the PPD-HV research database is robust with 239 variables and captures longitudinal clinical nursing data. Among the pregnant women with diabetes receiving nurse home visits, the mean age was 30.7 years, most were single, and had given birth to other children.

LINKING EVIDENCE TO ACTION

Real-world clinical nursing practice data provide a rich source of research data to advance understandings about this model of enhanced diabetes care and the pregnant women with diabetes receiving the care. Considering the global epidemic of diabetes, this is a perinatal nurse home visiting model to replicate and evaluate.

A scoping review of trials of interventions led or delivered by cancer nurses

BACKGROUND

Advances in research and technology coupled with an increased cancer incidence and prevalence have resulted in significant expansion of cancer nurse role, in order to meet the growing demands and expectations of people affected by cancer (PABC). Cancer nurses are also tasked with delivering an increasing number of complex interventions as a result of ongoing clinical trials in cancer research. However much of this innovation is undocumented, and we have little insight about the nature of novel interventions currently being designed or delivered by cancer nurses.

OBJECTIVES

To identify and synthesise the available evidence from clinical trials on interventions delivered or facilitated by cancer nurses.

DATA SOURCES AND REVIEW METHODS

A systematic review of randomised controlled trials (RCT), quasi-RCTs and controlled before and after studies (CBA) of cancer nursing interventions aimed at improving the experience and outcomes of PABC. Ten electronic databases (CENTRAL, MEDLINE, AMED, CINAHL, EMBASE, Epistemonikos, CDSR, DARE, HTA, WHO ICTRP) were searched between 01 January 2000 and 31 May 2016. No language restrictions were applied. Bibliographies of selected studies and relevant Cochrane reviews were also hand-searched. Interventions delivered by cancer nurses were classified according to the OMAHA System. Heat maps were used to highlight the volume of evidence available for different cancer groups, intervention types and stage of cancer care continuum.

RESULTS

The search identified 22,450 records; we screened 16,169 abstracts and considered 925 full papers, of which 214 studies (247,550 participants) were included in the evidence synthesis. The majority of studies were conducted in Europe (n = 79) and USA (n = 74). Interventions were delivered across the cancer continuum from prevention and risk reduction to survivorship, with the majority of interventions delivered during the treatment phase (n = 137). Most studies (131/214) had a teaching, guidance or counselling component. Cancer nurse interventions were targeted at primarily breast, prostate or multiple cancers. No studies were conducted in brain, sarcoma or other rare cancer types. The majority of the studies (n = 153) were nurse-led and delivered by specialist cancer nurses (n = 74) or advanced cancer nurses (n = 29), although the quality of reporting was poor.

CONCLUSIONS

To the best of our knowledge, this is the first review to synthesise evidence from intervention studies across the entire cancer spectrum. As such, this work provides new insights into the nature of the contribution that cancer nurses have made to evidence-based innovations, as well as highlighting areas in which cancer nursing trials can be developed in the future.

Visual Analytics for Pattern Discovery in Home Care. Clinical Relevance for Quality Improvement

BACKGROUND

Visualization can reduce the cognitive load of information, allowing users to easily interpret and assess large amounts of data. The purpose of our study was to examine home health data using visual analysis techniques to discover clinically salient associations between patient characteristics with problem-oriented health outcomes of older adult home health patients during the home health service period.

METHODS

Knowledge, Behavior and Status ratings at discharge as well as change from admission to discharge that was coded using the Omaha System was collected from a dataset on 988 de-identified patient data from 15 home health agencies. SPSS Visualization Designer v1.0 was used to visually analyze patterns between independent and outcome variables using heat maps and histograms. Visualizations suggesting clinical salience were tested for significance using correlation analysis.

RESULTS

The mean age of the patients was 80 years, with the majority female (66%). Of the 150 visualizations, 69 potentially meaningful patterns were statistically evaluated through bivariate associations, revealing 21 significant associations. Further, 14 associations between episode length and Charlson co-morbidity index mainly with urinary related diagnoses and problems remained significant after adjustment analyses. Through visual analysis, the adverse association of the longer home health episode length and higher Charlson co-morbidity index with behavior or status outcomes for patients with impaired urinary function was revealed.

CONCLUSIONS

We have demonstrated the use of visual analysis to discover novel patterns that described high-needs subgroups among the older home health patient population. The effective presentation of these data patterns can allow clinicians to identify areas of patient improvement, and time periods that are most effective for implementing home health interventions to improve patient outcomes.

The Gap in Big Data: Getting to Wellbeing, Strengths, and a Whole-person Perspective

BACKGROUND

Electronic health records (EHRs) provide a clinical view of patient health. EHR data are becoming available in large data sets and enabling research that will transform the landscape of healthcare research. Methods are needed to incorporate wellbeing dimensions and strengths in large data sets. The purpose of this study was to examine the potential alignment of the Wellbeing Model with a clinical interface terminology standard, the Omaha System, for documenting wellbeing assessments.

OBJECTIVE

To map the Omaha System and Wellbeing Model for use in a clinical EHR wellbeing assessment and to evaluate the feasibility of describing strengths and needs of seniors generated through this assessment.

METHODS

The Wellbeing Model and Omaha System were mapped using concept mapping techniques. Based on this mapping, a wellbeing assessment was developed and implemented within a clinical EHR. Strengths indicators and signs/symptoms data for 5 seniors living in a residential community were abstracted from wellbeing assessments and analyzed using standard descriptive statistics and pattern visualization techniques.

RESULTS

Initial mapping agreement was 93.5%, with differences resolved by consensus. Wellbeing data analysis showed seniors had an average of 34.8 (range=22-49) strengths indicators for 22.8 concepts. They had an average of 6.4 (range=4-8) signs/symptoms for an average of 3.2 (range=2-5) concepts. The ratio of strengths indicators to signs/symptoms was 6:1 (range 2.8-9.6). Problem concepts with more signs/symptoms had fewer strengths.

CONCLUSION

Together, the Wellbeing Model and the Omaha System have potential to enable a whole-person perspective and enhance the potential for a wellbeing perspective in big data research in healthcare.