Hospital Discharge and Selecting a Skilled Nursing Facility: A Comparison of Experiences and Perspectives of Patients and Their Families

Transition from hospital to nursing home: Discharge planners as a potential lever for quality improvements?

BACKGROUND

Public reporting is supposed to be helpful in differentiating between well and poorly performing nursing homes; however, hospital patients often have difficulties to deal with quality information. Discharge planners (DP) can support them in comparing quality and, by influencing patients' decision, lead to better provision of care in nursing homes.

OBJECTIVE

This study investigated the choice behavior of DP, their use of quality information and the potential to impact the decision-making of patients.

MATERIAL AND METHODS

A total of 70 DP from German hospitals with a geriatric department participated in an online survey. They were asked about information preferences and tools used for nursing home searches. In addition, they assessed quality information items from the new German quality reporting on a Likert scale. To test their comprehension participants were given a case scenario of a typical patient, were shown nursing homes displayed based on a medical comparison portal navigator (AOK-Pflegenavigator) and were asked to select nursing homes in a 3-round experiment.

RESULTS

When looking for a nursing home, DP primarily rely on internal nursing home directories (n = 62; 92.5%). The 3 preferred criteria for decision are: distance to the family (n = 55; 28.80%), bed availability (n = 51; 26.7%) and wishes of patients/relatives (n = 41; 21.47%). The consent score for public reporting was 46.28% and the comprehension ratio was 82.24%.

DISCUSSION

The DP do not advise hospital patients on the performance of nursing homes and rely on the decision-making of patients. This results in a lack of impact on patients' decisions and consequently in a loss of potential for public reporting to lead to better care in nursing homes.

Reimagining Family Involvement in Residential Long-Term Care

Although descriptions of family involvement in residential long-term care (RLTC) are available in the scientific literature, how family involvement is optimized in nursing homes or assisted living settings remains underexplored. During the facility lockdowns and visitor restrictions of the COVID-19 pandemic, residents experienced social deprivation that may have resulted in significant and adverse health outcomes. As with so many other critical issues in RLTC, the COVID-19 pandemic has magnified the need to determine how families can remain most effectively involved in the lives of residents. This article seeks to better understand the state of the science of family involvement in RTLC and how the COVID-19 pandemic has expedited the need to revisit, and reimagine, family involvement in RLTC.

The Experience of a Neurocritical Care Admission and Discharge for Patients and Their Families: A Qualitative Analysis

INTRODUCTION

A qualitative assessment of discharge resource needs is important for developing evidence-based care improvements in neurocritically ill patients.

METHODS

We conducted a quality improvement initiative at an academic hospital and included all patients admitted to the neuroscience intensive care unit (ICU) during an 18-month period. Telephone assessments were made at 3 to 6 months after admission. Patients or caregivers were asked whether they had adequate resources upon discharge and whether they had any unanswered questions. The content of responses was reviewed by a neurointensivist and a neurocritical care nurse practitioner. A structured codebook was developed, organized into themes, and applied to the responses.

RESULTS

Sixty-one patients or caregivers responded regarding access to resources at discharge with 114 individual codable responses. Responses centered around 5 themes with 23 unique codes: satisfied, needs improvement, dissatisfied, poor post-ICU care, and poor health. The most frequently coded responses were that caregivers believed their loved one had experienced an unclear discharge (n = 11) or premature discharge (n = 12). Two hundred four patients or caregivers responded regarding unanswered questions or additional comments at follow-up, with 516 codable responses. These centered around 6 themes with 26 unique codes: positive experience, negative experience, neutral experience, medical questions, ongoing medical care or concern, or remembrance of time spent in the ICU. The most frequent response was that caregivers or patients stated that they received good care (n = 115). Multiple concerns were brought up, including lack of follow-up after hospitalization (n = 15) and dissatisfaction with post-ICU care (n = 15).

CONCLUSIONS

Obtaining qualitative responses after discharge provided insight into the transition from critical care. This could form the basis for an intervention to provide a smoother transition from the ICU to the outpatient setting.

Factors Associated with Discharge to a Skilled Nursing Facility after Transcatheter Aortic Valve Replacement Surgery

An assumption regarding transcatheter aortic valve replacement (TAVR), a minimally invasive procedure for treating aortic stenosis, is that patients remain at, or near baseline and soon return to their presurgical home to resume activities of daily living. However, this does not consistently occur. The purpose of this study was to identify preoperative factors that optimally predict discharge to a skilled nursing facility (SNF) after TAVR. Delineation of these conditions is an important step in developing a risk stratification model to assist in making informed decisions. Data was extracted from the American College of Cardiology (ACC) transcatheter valve therapy (TVT) registry and the Society of Thoracic Surgeons (STS) database on 285 patients discharged from 2012⁻2017 at a tertiary referral heart institute located in the southeastern region of the United States. An analysis of assessment, clinical and demographic variables was used to estimate relative risk (RR) of discharge to a SNF. The majority of participants were female (55%) and white (84%), with a median age of 82 years (interquartile range = 9). Approximately 27% (n = 77) were discharged to a SNF. Age > 75 years (RR = 2.3, p = 0.0026), female (RR = 1.6, p = 0.019), 5-meter walk test (5MWT) >7 s (RR = 2.0, p = 0.0002) and not using home oxygen (RR = 2.9, p = 0.0084) were identified as independent predictive factors for discharge to a SNF. We report a parsimonious risk-stratification model that estimates the probability of being discharged to a SNF following TAVR. Our findings will facilitate making informed treatment decisions regarding this older patient population.