Sequence of Functional Loss and Recovery in Nursing Homes

Development of an ontology to characterize mental functioning

PURPOSE OF THE ARTICLE

This article describes a conceptual and methodological approach to integrating functional information into an ontology to categorize mental functioning, which to date is an under-developed area of classification, and supports our work with the United States (U.S.) Social Security Administration (SSA).

DESIGN AND METHODOLOGICAL PROCEDURES

Conceptualizing and defining mental functioning was paramount to develop natural language processing (NLP) tools to support our use case. The International Classification of Functioning, Disability, and Health (ICF) was the framework used to conceptualize mental functioning at the activities and participation level in clinical records. To address challenges that arose when applying the ICF as to what should or should not be classified as mental functioning, a mental functioning domain ontology was developed that rearranged, reclassified and incorporated all ICF key components, concepts, classifications, and their definitions.

CONCLUSIONS

Challenges emerged in the extent to which we could directly align components in the ICF into an applied ontology of mental functioning. These conceptual challenges required rearrangement of ICF components to adequately support our use case within the social security disability determination process. Findings also have implications to support future NLP efforts for behavioral health outcomes and policy research.

Exploring Early, Middle, and Late Loss in Basic Activities of Daily Living among Nursing Home Residents: A Multicenter Observational Study

Nursing home (NH) residents commonly face limitations in basic activities of daily living (BADLs), following a hierarchical decline. Understanding this hierarchy is crucial for personalized care. This study explores factors associated with early, middle, and late loss in BADLs among NH residents. A multicenter cross-sectional study was conducted in 30 NHs in Catalonia, Spain. Dependent variables were related to limitations in BADLs: early loss (self-care-related BADLs: personal hygiene, dressing, or bathing), middle loss (mobility-related BADLs: walking or wheelchair handling, toileting, and transferring), and late loss (eating). Independent variables were based on a comprehensive geriatric assessment and institutional factors. Logistic regression was used for the multivariate analyses. The study included 671 older adults. Early loss in BADLs was significantly associated with urinary incontinence, cognitive impairment, and falls. Middle loss in BADLs was linked to fecal incontinence, urinary incontinence, ulcers, and cognitive impairment. Late loss in BADLs was associated with fecal incontinence, the NH not owning a kitchen, neurological disease, cognitive impairment, dysphagia, polypharmacy, and weight loss. These findings highlight the need to address geriatric syndromes, especially cognitive impairment and bladder/bowel incontinence. Monitoring these syndromes could effectively anticipate care dependency. The presence of kitchens in NHs may help to address limitations to eating, allowing for potential personalized meal adaptation.

Exploring trajectories of functional decline and recovery among older adults: a data-driven approach

Independently performing activities of daily living (ADLs) is vital for maintaining one's quality of life. Losing this ability can significantly impact an individual's overall health status, including their mental health and social well-being. Aging is an important factor contributing to the loss of ADL abilities, and our study focuses on investigating the trajectories of functional decline and recovery in older adults. Employing trajectory analytics methodologies, this research delves into the intricate dynamics of ADL pathways, unveiling their complexity, diversity, and inherent characteristics. The study leverages a substantial dataset encompassing ADL assessments of nursing home residents with diverse disability profiles in the United States. The investigation begins by transforming these assessments into sequences of disability combinations, followed by applying various statistical measures, indicators, and visual analytics. Valuable insights are gained into the typical disability states, transitions, and patterns over time. The results also indicate that while predicting the progression of ADL disabilities presents manageable challenges, the duration of these states proves more complicated. Our findings hold significant potential for improving healthcare decision-making by enabling clinicians to anticipate possible patterns, develop targeted and effective interventions that support older patients in preserving their independence, and enhance overall care quality.

Associations Between Eating, Mobility, and Toileting Functional Dependence and COVID-19 Symptoms

OBJECTIVES

The first goal of this study was to explore associations between functional dependence levels during activities of daily living (eg, functional mobility, eating, and toileting) before COVID-19 and presence of COVID-19 symptoms (eg, fever, dehydration, lethargy, and shortness of breath) during illness. The second goal of this study was to explore associations between presence of specific COVID-19 symptoms and level of functional decline from before to after illness.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

A total of 375 residents at a single skilled nursing facility in New York City.

METHODS

Data were extracted from the Minimum Data Set 3.0 and chart reviews. Multiple linear regressions analyzed relationships between baseline functional dependence in eating, functional mobility, and toileting and presence of dehydration, lethargy, shortness of breath, and fever. Ordinal linear regressions analyzed associations between COVID-19 symptom presence and changes in functional dependence from before to after illness.

RESULTS

Pre-COVID-19 eating dependence was significantly associated with dehydration during COVID-19. Dehydration during COVID-19 was significantly associated with greater functional declines in functional mobility from before to after illness. Shortness of breath was significantly associated with increased functional declines in eating and functional mobility.

CONCLUSIONS AND IMPLICATIONS

Patients with COVID-19 should be monitored for shortness of breath and dehydration, as these symptoms are associated with functional decline. Individuals experiencing functional decline before COVID-19 onset are especially vulnerable to these symptoms. Future research should further explore the relationship between functional status and COVID-19 symptoms.

Who Receives Care in VA Medical Foster Homes?

Objective

The Veterans Health Administration (VHA) Medical Foster Home (MFH) program was created to give veterans a community-based alternative to institutional long-term care (LTC). This study describes demographic, clinical, and functional characteristics of veterans in MFHs.

Methods

Findings from in-home assessments of veterans in MFHs tied to 4 VHA medical centers for ≥ 90 days between April 2014 and December 2015 were collected. Trained nurses completed Minimum Data Set (MDS) 3.0 assessments for 92 veterans in MFHs. The assessment included demographic characteristics, cognition, behaviors, depression, pain, functional status, mobility, and morbidity.

Results

MFH veterans were primarily male (85%), aged > 65 years (83%), cognitively impaired (55%), and had a diagnosis of depression (52%). Overall, 22% had caregiverreported aggressive behaviors and 45% self-reported pain. More than half used a wheelchair (56%). Of the 11 activities of daily living (ADLs) assessed, MFH residents were most likely to require assistance with bathing and least likely to require assistance with bed mobility and eating, although more than half required eating assistance.

Conclusions

Veterans residing in MFHs have a wide range of care needs, including some veterans with high needs for help with ADLs and others who are completely independent in performing ADLs. These results provide insights about which veterans are staying in MFH care. Future studies should explore how VHA care providers refer veterans to LTC settings.

Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients

Background

Assessment of functional ability, including activities of daily living (ADLs), is a manual process completed by skilled health professionals. In the presented research, an automated decision support tool, the Computational Barthel Index Tool (CBIT), was constructed that can automatically assess and predict probabilities of current and future ADLs based on patients’ medical history.

Methods

The data used to construct the tool include the demographic information, inpatient and outpatient diagnosis codes, and reported disabilities of 181,213 residents of the Department of Veterans Affairs’ (VA) Community Living Centers. Supervised machine learning methods were applied to construct the CBIT. Temporal information about times from the first and the most recent occurrence of diagnoses was encoded. Ten-fold cross-validation was used to tune hyperparameters, and independent test sets were used to evaluate models using AUC, accuracy, recall and precision. Random forest achieved the best model quality. Models were calibrated using isotonic regression.

Results

The unabridged version of CBIT uses 578 patient characteristics and achieved average AUC of 0.94 (0.93–0.95), accuracy of 0.90 (0.89–0.91), precision of 0.91 (0.89–0.92), and recall of 0.90 (0.84–0.95) when re-evaluating patients. CBIT is also capable of predicting ADLs up to one year ahead, with accuracy decreasing over time, giving average AUC of 0.77 (0.73–0.79), accuracy of 0.73 (0.69–0.80), precision of 0.74 (0.66–0.81), and recall of 0.69 (0.34–0.96). A simplified version of CBIT with 50 top patient characteristics reached performance that does not significantly differ from full CBIT.

Conclusion

Discharge planners, disability application reviewers and clinicians evaluating comparative effectiveness of treatments can use CBIT to assess and predict information on functional status of patients.

Resilience in Clinical Care: Getting a Grip on the Recovery Potential of Older Adults

Background

Geriatricians are often confronted with unexpected health outcomes in older adults with complex multimorbidity. Aging researchers have recently called for a focus on physical resilience as a new approach to explaining such outcomes. Physical resilience, defined as the ability to resist functional decline or recover health following a stressor, is an emerging construct.

Methods

Based on an outline of the state‐of‐the‐art in research on the measurement of physical resilience, this article describes what tests to predict resilience can already be used in clinical practice and which innovations are to be expected soon.

Results

An older adult's recovery potential is currently predicted by static tests of physiological reserves. Although geriatric medicine typically adopts a multidisciplinary view of the patient and implicitly performs resilience management to a certain extent, clinical management of older adults can benefit from explicitly applying the dynamical concept of resilience. Two crucial leads for advancing our capacity to measure and manage the resilience of individual patients are advocated: first, performing multiple repeated measurements around a stressor can provide insight about the patient's dynamic responses to stressors; and, second, linking psychological and physiological subsystems, as proposed by network studies on resilience, can provide insight into dynamic interactions involved in a resilient response.

Conclusion

A big challenge still lies ahead in translating the dynamical concept of resilience into clinical tools and guidelines. As a first step in bridging this gap, this article outlines what opportunities clinicians and researchers can already exploit to improve prediction, understanding, and management of resilience of older adults. J Am Geriatr Soc 67:2650–2657, 2019

Pushing the Boundaries: A Physical Activity Intervention Extends Sensor-Assessed Life-Space in Nursing Home Residents

Background and Objectives

To determine whether a multicomponent, individually tailored intervention to promote physical activity (PA) enhances life-space (LS) utilization in nursing home (NH) residents and whether intervention effects can be sustained at follow-up after continuation of the program as part of institutional daily routines.

Research Design and Methods

Pre-post-assessed controlled trial in two highly similar NHs with a 3month follow-up in 143 NH residents (intervention group: n = 78; control group: n = 65) and LS as primary outcome. The PA promoting intervention consisted of several components (group sessions; individual exercise; serious games training; competence training for staff) tailored to residents' individual functional capacity. LS was innovatively assessed via an indoor wireless sensor network including three assessment-specific LS parameters: overall LS score (LSSc), time spent away from the private room (TAFR), and the maximally distal zone from private room visited (MaxZ). To exploit the available intervention-control comparative data in the best way possible, a generalized linear mixed model approach was applied.

Results

At post-test, intervention participants had a significantly higher overall LSSc, spent more TAFR, and had extended their MaxZ as compared to controls. At follow-up, a significant group difference remained for MaxZ.

Discussion and Implications

A PA intervention in the NH setting impacts on LS utilization as measured using sensor-based assessment. The program has proven its practical sustainability when being handed over to NH personnel for continuation in daily practice. Further research is needed to determine whether an increase in LS utilization also impacts on social participation and quality of life.

Facilitators and barriers to optimizing eating performance among cognitively impaired older adults: A qualitative study of nursing assistants’ perspectives

Background and Objectives

Cognitively impaired individuals are at increased risk for functional and behavioral difficulties at mealtimes, leading to compromised eating performance, low food and fluid intake, and negative functional and nutritional outcomes. Nursing assistants are the most critical front-line care staff and best positioned to manage the personal and environmental factors that influence resident eating performance. Identifying nursing assistants’ perceptions of barriers and facilitators to engaging residents in eating will provide important experientially based foundation for developing and testing evidence-driven interventions to promote mealtime care.

Methods

A qualitative descriptive study was conducted in three sites: two nursing homes and one hospital gero-psychiatric inpatient unit. Six focus groups were conducted with a purposive sample of 23 nursing assistants who regularly provided mealtime care to residents with cognitive impairment. Interview questions addressed barriers and facilitators at resident, caregiver, environmental (facility), and policy levels in optimizing mealtime care. Audio recordings of focus groups were transcribed and analyzed using qualitative descriptive content analysis. Both barriers and facilitators were organized into a hierarchical taxonomy based on similarities and differences framed by the Social Ecological Model.

Results

The majority of barriers and facilitators were at the caregiver level. Caregiver-level barriers included lack of preparation and training, competing work demands, time pressure, and frustration. Caregiver-level facilitators included caregiver preparation and motivational, technical, informational, and instrumental assistance. Environmental-level barriers and facilitators related to the physical, social, and cultural environment and facility practices. Only barriers to optimizing mealtime care were identified at resident and policy levels.

Conclusions

Nursing assistants identified multilevel barriers as well as a wide range of caregiver and environmental facilitators to optimizing dementia mealtime care. Findings can inform the development and implementation of multifaceted innovative mealtime assistance and staff training programs to promote resident eating performance while fostering person-centered individualized mealtime care practice.

Predicting Potential Adverse Events During a Skilled Nursing Facility Stay: A Skilled Nursing Facility Prognosis Score

OBJECTIVES

To derive a risk prediction score for potential adverse outcomes in older adults transitioning to a skilled nursing facility (SNF) from the hospital.

DESIGN

Retrospective analysis.

SETTING

Medicare Current Beneficiary Survey (2003-11).

PARTICIPANTS

Previously community-dwelling Medicare beneficiaries who were hospitalized and discharged to SNF for postacute care (N=2,043).

MEASUREMENTS

Risk factors included demographic characteristics, comorbidities, health status, hospital length of stay, prior SNF stays, SNF size and ownership, treatments received, physical function, and active signs or symptoms at time of SNF admission. The primary outcome was a composite of undesirable outcomes from the patient perspective, including hospital readmission during the SNF stay, long SNF stay (≥100 days), and death during the SNF stay.

RESULTS

Of the 2,043 previously community-dwelling beneficiaries hospitalized and discharged to a SNF for post-acute care, 589 (28.8%) experienced one of the three outcomes, with readmission (19.4%) most common, followed by mortality (10.5%) and long SNF stay (3.5%). A risk score including 5 factors (Barthel Index, Charlson-Deyo comorbidity score, hospital length of stay, heart failure diagnosis, presence of an indwelling catheter) demonstrated very good discrimination (C-statistic=0.75), accuracy (Brier score=0.17), and calibration for observed and expected events.

CONCLUSION

Older adults frequently experience potentially adverse outcomes in transitions to a SNF from the hospital; this novel score could be used to better match resources with patient risk.

Individual and institutional factors associated with functional disability in nursing home residents: An observational study with multilevel analysis

Background

High prevalence of functional limitations has been previously observed in nursing homes. Disability may depend not only on the characteristics of the residents but also on the facility characteristics. The aims of this study were: 1, to describe the prevalence of functional disability in older people living in Spanish nursing homes; and 2, to analyze the relationships between individual and nursing home characteristics and residents’ functional disability.

Methods

A cross-sectional study with data collected from 895 residents in 34 nursing homes in the province of Albacete (Spain) was conducted. Functional status was assessed by the Barthel Index. Taking into account both levels of data (individual and institutional characteristics) we resorted to a multilevel analysis in order to take different sources of variability in the data.

Results

The prevalence of functional disability of the total sample was 79.8%. The best fitting multilevel model showed that female gender, older age, negative self-perception of health, and living in private nursing homes were factors significantly associated with functional disability. After separating individual and institutional effects, the institutions showed significant differences.

Conclusions

In line with previous findings, our study found high levels of functional dependence among institutionalized elders. Gender, age, self-perception of health, and institution ownership were associated with functional status. Disentangling individual and institutional effects by means of multilevel models can help evaluate the quality of the residences.

How Hospital Clinicians Select Patients for Skilled Nursing Facilities

OBJECTIVE

To understand how hospital-based clinicians evaluate older adults in the hospital and decide who will be transferred to a skilled nursing facility (SNF) for postacute care.

DESIGN

Semistructured interviews paired with a qualitative analytical approach informed by Social Constructivist theory.

SETTING

Inpatient care units in three hospitals. Purposive sampling was used to maximize variability in hospitals, units within hospitals, and staff on those units.

PARTICIPANTS

Clinicians (hospitalists, nurses, therapists, social workers, case managers) involved in evaluation and decision-making regarding postacute care (N = 25).

MEASUREMENTS

Central themes related to clinician evaluation and discharge decision-making.

RESULTS

Clinicians described pressure to expedite evaluation and discharge decisions, resulting in the use of SNFs as a "safety net" for older adults being discharged from the hospital. The lack of hospital-based clinician knowledge of SNF care practices, quality, or patient outcomes resulted in lack of a standardized evaluation process or a clear primary decision-maker.

CONCLUSION

Hospital clinician evaluation and decision-making about postacute care in SNFs may be characterized as rushed, without a clear system or framework for making decisions and uninformed by knowledge of SNF or patient outcomes in those discharged to SNFs. This leads to SNFs being used as a "safety net" for many older adults. As hospitals and SNFs are increasingly held jointly accountable for outcomes of individuals transitioning between hospitals and SNFs, novel solutions for improving evaluation and decision-making are urgently needed.