Machine-Learning Modeling to Predict Hospital Readmission Following Discharge to Post-Acute Care.

OBJECTIVES: Primary purpose was to generate a model to identify key factors relevant to acute care hospital readmission within 90 days from 3 types of post-acute care (PAC) sites: home with home care services (HC), skilled nursing facility (SNF), and inpatient rehabilitation facility (IRF). Specific aims were to (1) examine demographic characteristics of adults discharged to 3 types of PAC sites and (2) compare 90-day acute hospital readmission rate across PAC sites and risk levels. DESIGN: Retrospective, secondary analysis design was used to examine hospital readmissions within 90 days for persons discharged from hospital to SNF, IRF, or HC. SETTINGS AND PARTICIPANTS: Cohort sample was composed of 2015 assessment data from 3,592,995 Medicare beneficiaries, including 1,536,908 from SNFs, 306,878 from IRFs, and 1,749,209 patients receiving HC services. MEASURES: Initial level of analysis created multiple patient profiles based on predictive patient characteristics. Second level of analysis consisted of multiple logistic regressions within each profile to create predictive algorithms for likelihood of readmission within 90 days, based on risk profile and PAC site. RESULTS: Total sample 90-day hospital readmission rate was 27.48%. Patients discharged to IRF had the lowest readmission rate (23.34%); those receiving HC services had the highest rate (31.33%). Creation of model risk subgroups, however, revealed alternative outcomes. Patients seem to do best (i.e., lowest readmission rates) when discharged to SNF with one exception, those in the very high risk group. Among all patients in the low-, intermediate-, and high-risk groups, the lowest readmission rates occurred among SNF patients. CONCLUSIONS AND IMPLICATIONS: The proposed model has potential use to stratify patients' potential risk for readmission as well as optimal PAC destination. Machine-learning modeling with large data sets is a useful strategy to increase the precision accuracy in predicting outcomes among patients who have nonhome discharges from the hospital.

Assessing Older Adult Wellness: An Assessment of the Psychometric Properties of the Lifestyle Survey.

BACKGROUND AND PURPOSE: To measure wellness interventions, researchers need valid and reliable tools to measure the concept of wellness. The purpose of this study is to examine the validity and reliability of the Lifestyle Survey instrument. METHODS: Community-dwelling older adults were recruited and asked to evaluate the reliability by engaging in a test retest reliability. Observer agreement was measured by calculating a kappa score for each item. Content validity was evaluated with a focus group session. RESULTS: (n = 56) older adults completed the survey on time one and time two. Of 115 items, 77.39% demonstrated moderate or higher kappa agreement. Focus group respondents identified rewording a few items. CONCLUSION: With refinement, the Lifestyle Survey is a valid and reliable measure of wellness among community-dwelling older adults.

Peer-to-peer support model to improve quality of life among highly vulnerable, low-income older adults in Cape Town, South Africa.

BACKGROUND: Developing countries are experiencing rapid population ageing. Many do not have the resources or formal structures available to support the health and wellbeing of people as they age. In other contexts, the use of peer support programmes have shown favourable outcomes in terms of reducing loneliness, increasing physical activity and managing chronic disease. Such programmes have not been previously developed or tested in African countries. We piloted a peer-to-peer support model among vulnerable community-dwelling adults in a developing country (South Africa) to examine the program's effect on wellbeing and social engagement. METHODS: A pre-post, pilot design was used to evaluate targeted outcomes, including wellbeing, social support, social interaction, mood, loneliness and physical activity. A total of 212 persons, aged 60+ years and living independently in a low-income area in Cape Town were recruited and screened for eligibility by trained assessors. Participants were assessed using the interRAI CheckUp, WHO-5 Wellbeing index, and the MOS-SS 8 instruments before and after the 5-month intervention, during which they received regular visits and phone calls from trained peer volunteers. During visits volunteers administered a wellness screening, made referrals to health and social services; built friendships with clients; encouraged social engagement; promoted healthy living; and provided emotional and informational support. RESULTS: Volunteer visits with clients significantly increased levels of self-reported wellbeing by 58%; improved emotional and informational support by 50%; decreased reports of reduced social interaction by 91%; reduced loneliness by 70%; improved mood scores represented as anxiety, depression, lack of interest or pleasure in activities, and withdrawal from activities of interest; and increased levels of physical activity from 49 to 66%. DISCUSSION: The intervention led to demonstrable improvement in client wellbeing. Policymakers should consider integrating peer-support models into existing health programs to better address the needs of the elderly population and promote healthy ageing in resource-poor community settings. Longer-term and more rigorous studies with a control group are needed to support these findings and to investigate the potential impact of such interventions on health outcomes longitudinally.

Physical Activity and Positive Psychological Well-Being Attributes Among U.S. Latino Older Adults.

Lack of physical activity is particularly problematic among U.S. Latino older adults. There is substantial evidence linking physical activity and well-being. However, associations between physical activity and positive psychological well-being among this population have never been studied or measured. Physical activity was compared to five positive psychological well-being measures based on the PERMA model. Secondary data analysis was completed on a sample of 68 Latino American individuals, age 60 and older, compared to 72 non-Hispanic White older adults. Overall, physical activity was positively associated with positive psychological well-being despite race. Pain, functional limitations, and physical restrictions did not moderate the relationship between physical activity and positive psychological well-being among Latino and non-Hispanic White older adults. Further research is needed to clarify whether physical activity and psychological well-being are perceived similarly or differently within various cultures. [Journal of Gerontological Nursing, 45(6), 44-56.].

Five dimensions of wellness and predictors of cognitive health protection in community-dwelling older adults: a historical COLLAGE cohort study.

Wellness is associated with cognitive health protection; however, findings are limited because they only examine variable(s) within one dimension of wellness. This research examined the association between multiple dimensions of wellness and cognition among aging adults. The sample included 5,605 male and female community-dwelling adults 60 years and older. Four dimensions of wellness demonstrated a statistically significant higher mean difference in cognitively healthy older adults compared to cognitively impaired older adults, F(4, 5,595) = 47.57, p < .001. Emotional wellness demonstrated the strongest association with cognitive health, followed by physical and spiritual wellness, F(5, 5,372) = 50.35, p < .001. Future research is needed to examine the cognitive protective benefits of wellness using longitudinal, prospective designs that control for the potential temporal relationship between wellness and cognition.

Predicting risk of hospital and emergency department use for home care elderly persons through a secondary analysis of cross-national data.

BACKGROUND: Older adults remain the highest utilization group with unplanned visits to emergency departments and hospital admissions. Many have considered what leads to this high utilization and the answers provided have depended upon the independent measures available in the datasets used. This project was designed to further understanding of the reasons for older adult ED visits and admissions to acute care hospitals. METHODS: A secondary analysis of data from a cross-national sample of community residing elderly, 60 years of age or older, and most of whom received services from a local home-care program was conducted. The assessment instrument used in this study is the interRAI HC (home care), designed for use in assessing elderly home care recipients. The model specification stage of the study identified the baseline independent variables that do and do not predict the follow-up measure of hospitalization and ED use. Stepwise logistic regression was used next to identify characteristics that best identified elders who subsequently entered a hospital or visited an ED. The items generated from the final multivariate logistic equation using the interRAI home care measures comprise the interRAI Hospital-ED Risk Index. RESULTS: Independent measures in three key domains of clinical complications, disease diagnoses and specialized treatments were related to subsequent hospitalization or ED use. Among the eighteen clinical complication measures with higher, meaningful odds ratios are pneumonia, urinary tract infection, fever, chest pain, diarrhea, unintended weight loss, a variety of skin conditions, and subject self-reported poor health. Disease diagnoses with a meaningful relationship with hospital/ED use include coronary artery disease, congestive heart failure, cancer, emphysema and renal failure. Specialized treatments with the highest odds ratios were blood transfusion, IV infusion, wound treatment, radiation and dialysis. Two measures, Alzheimer's disease and day care appear to have a protective effect for hospitalization/ED use with lower odds ratios. CONCLUSIONS: Examination into "preventable" hospitalizations and re-hospitalizations for older adults who have the highest rates of utilization are occurring beneath an umbrella of assuring the highest quality of care and controlling costs. The interRAI Hospitalization-ED Risk Index offers an effective approach to predicting hospitalization utilization among community dwelling older adults.

Application of the Rasch model to measure five dimensions of wellness in community-dwelling older adults.

BACKGROUND AND PURPOSE: Nurse researchers and practicing nurses need reliable and valid instruments to measure key clinical concepts. The purpose of this research was to develop an innovative method to measure dimensions of wellness among older adults. METHOD: A sample of 5,604 community-dwelling older adults was drawn from members of the COLLAGE consortium. The Wellness Assessment Tool (WEL) of the COLLAGE assessment system provided the data used to create the scores. Application of the Rasch analysis and Masters' partial credit method resulted in logit values for each item within the five dimensions of wellness as well as logit values for each person in the sample. RESULTS: The items fit the Rasch model, and the composite scores for each dimension demonstrated high reliability (1.00). The person reliability was low: social (.19), intellectual (.33), physical (.29), emotional (.20), and spiritual (.29). The small number of items within each dimension and the homogenous sample appear to have contributed to this low reliability. CONCLUSION: Ongoing research using multidimensional tools to measure dimensions of wellness among older adults is needed to advance wellness science and wellness promotion in nursing practice.

Using the community health assessment to screen for continued driving.

This project used the interRAI based, community health assessment (CHA) to develop a model for identifying current elder drivers whose driving behavior should be reviewed. The assessments were completed by independent housing sites in COLLAGE, a non-profit, national senior housing consortium. Secondary analysis of data drawn from older adults in COLLAGE sites in the United States was conducted using a baseline assessment with 8042 subjects and an annual follow-up assessment with 3840 subjects. Logistic regression was used to develop a Driving Review Index (DRI) based on the most useful items from among the many measures available in the CHA assessment. Thirteen items were identified by the logistic regression to predict drivers whose driving behavior was questioned by others. In particular, three variables reference compromised decision-making abilities: general daily decisions, a recent decline in ability to make daily decisions, and ability to manage medications. Two additional measures assess cognitive status: short-term memory problem and a diagnosis of non-Alzheimers dementia. Functional measures reflect restrictions and general frailty, including receiving help in transportation, use of a locomotion appliance, having an unsteady gait, fatigue, and not going out on most days. The final three clinical measures reflect compromised vision, little interest or pleasure in things normally enjoyed, and diarrhea. The DRI focuses the review process on drivers with multiple cognitive and functional problems, including a significant segment of potentially troubled drivers who had not yet been publicly identified by others. There is a need for simple and quickly identified screening tools to identify those older adults whose driving should be reviewed. The DRI, based on the interRAI CHA, fills this void. Assessment at the individual level needs to be part of the backdrop of science as society seeks to target policy to identify high risk drivers instead of simply age-based testing.

Scaling functional status within the interRAI suite of assessment instruments.

BACKGROUND: As one ages, physical, cognitive, and clinical problems accumulate and the pattern of loss follows a distinct progression. The first areas requiring outside support are the Instrumental Activities of Daily Living and over time there is a need for support in performing the Activities of Daily Living. Two new functional hierarchies are presented, an IADL hierarchical capacity scale and a combination scale integrating both IADL and ADL hierarchies. METHODS: A secondary analyses of data from a cross-national sample of community residing persons was conducted using 762,023 interRAI assessments. The development of the new IADL Hierarchy and a new IADL-ADL combined scale proceeded through a series of interrelated steps first examining individual IADL and ADL item scores among persons receiving home care and those living independently without services. A factor analysis demonstrated the overall continuity across the IADL-ADL continuum. Evidence of the validity of the scales was explored with associative analyses of factors such as a cross-country distributional analysis for persons in home care programs, a count of functional problems across the categories of the hierarchy, an assessment of the hours of informal and formal care received each week by persons in the different categories of the hierarchy, and finally, evaluation of the relationship between cognitive status and the hierarchical IADL-ADL assignments. RESULTS: Using items from interRAI's suite of assessment instruments, two new functional scales were developed, the interRAI IADL Hierarchy Scale and the interRAI IADL-ADL Functional Hierarchy Scale. The IADL Hierarchy Scale consisted of 5 items, meal preparation, housework, shopping, finances and medications. The interRAI IADL-ADL Functional Hierarchy Scale was created through an amalgamation of the ADL Hierarchy (developed previously) and IADL Hierarchy Scales. These scales cover the spectrum of IADL and ADL challenges faced by persons in the community. CONCLUSIONS: An integrated IADL and ADL functional assessment tool is valuable. The loss in these areas follows a general hierarchical pattern and with the interRAI IADL-ADL Functional Hierarchy Scale, this progression can be reliably and validly assessed. Used across settings within the health continuum, it allows for monitoring of individuals from relative independence through episodes of care.

Assessment of delirium in the intensive care unit: nursing practices and perceptions.

BACKGROUND: Despite practice guidelines promoting delirium assessment in intensive care, few data exist regarding current delirium assessment practices among nurses and how these practices compare with those for sedation assessment. OBJECTIVES: To identify current practices and perceptions of intensive care nurses regarding delirium assessment and to compare practices for assessing delirium with practices for assessing sedation. METHODS: A paper/Web-based survey was administered to 601 staff nurses working in 16 intensive care units at 5 acute care hospitals with sedation guidelines specifying delirium assessment in the Boston, Massachusetts area. RESULTS: Overall, 331 nurses (55%) responded. Only 3% ranked delirium as the most important condition to evaluate, compared with altered level of consciousness (44%), presence of pain (23%), or improper placement of an invasive device (21%). Delirium assessment was less common than sedation assessment (47% vs 98%, P < .001) and was more common among nurses who worked in medical intensive care units (55% vs 40%, P = .03) and at academic centers (53% vs 13%, P < .001). Preferred methods for assessing delirium included assessing ability to follow commands (78%), checking for agitation-related events (71%), the Confusion Assessment Method for the Intensive Care Unit (36%), the Intensive Care Delirium Screening Checklist (11%), and psychiatric consultation (9%). Barriers to assessment included intubation (38%), complexity of the tool for assessing delirium (34%), and sedation level (13%). CONCLUSIONS: Practice and perceptions of delirium assessment vary widely among critical care nurses despite the presence of institutional sedation guidelines that promote delirium assessment.

Evaluations of clinical learning in a managed care environment.

TOPIC: Clinical learning in a managed-care environment. PURPOSE: To obtain evaluative data about clinical learning experiences for graduate nursing students based on the domains of competence for successful practice in managed-care organizations. METHODS: A survey of 42 nurses (20 graduate students, 22 nurse practitioner preceptors) self-reported on two questionnaires. FINDINGS: Both the students and preceptors reported that there were learning opportunities for research utilization, the development of clinical competence, the identification of group dynamics, the development of leadership skills. In addition, the respondents reported learning opportunities to examine the financial impact on healthcare delivery and clinician decision making. The area of ethics and its impact on clinical decision making is an apparent void, as reported by the respondents. CONCLUSIONS: A managed care environment does provide an effective learning environment for nurse practitioner students.