Unplanned readmission for older persons: A concept analysis

Exploring Older People's Experiences and Factors Associated With 30-Day Hospital Readmission: A Qualitative Study Using Interpretive Phenomenological Analysis

INTRODUCTION

Hospital readmission has a negative impact on older people and the healthcare system. Current hospital readmission research predominantly reports on clinical outcomes based on cross-sectional data. Research exploring patients' experiences and priorities is limited. This study aimed to explore older people's experiences of hospital readmission in order to develop an understanding of what matters most to them.

METHODS

Semi-structured qualitative interviews were conducted to generate data that were analysed using principles of interpretative phenomenological analysis.

RESULTS

Ten participants over 65 years old, who had experienced unplanned hospital readmission within a period of 30 days, were recruited from a large single tertiary referral centre. Four themes emerged: 'All about me without me', 'Fragmented and ad hoc post-discharge support', 'My readmission experience and what led me back' and 'Segregated health and social services that are detached from people's needs'.

CONCLUSION

The study findings suggest that patients should be more involved in decisions about their care, and health professionals should endeavour to better understand the contexts, resources and access to formal and informal support of patients. Effective communication and stronger continuum of care could be a key to patients' recovery and avoidance of hospital readmission. This research highlights the importance of shared decision-making and patient-centred care to improve quality of care, maintain independence and preserve older adult's right to feel valued.

Clinical outcomes of nurse-coordinated interventions for frail older adults discharged from hospital: A systematic review and meta-analysis

AIM

To determine the effects of nurse-coordinated interventions in improving readmissions, cumulative hospital stay, mortality, functional ability and quality of life for frail older adults discharged from hospital.

DESIGN

Systematic review with meta-analysis.

METHODS

A systematic search using key search terms of 'frailty', 'geriatric', 'hospital' and 'nurse'. Covidence was used to screen individual studies. Studies were included that addressed frail older adults, incorporated a significant nursing role in the intervention and were implemented during hospital admission with a focus on transition from hospital to home.

DATA SOURCES

This review searched MEDLINE (Ovid), CINAHL (EBSCO), PubMed (EBSCO), Scopus, Embase (Ovid) and Cochrane library for studies published between 2000 and September 2023.

RESULTS

Of 7945 abstracts screened, a total 16 randomised controlled trials were identified. The 16 randomised controlled trials had a total of 8795 participants, included in analysis. Due to the heterogeneity of the outcome measures used meta-analysis could only be completed on readmission (n = 13) and mortality (n = 9). All other remaining outcome measures were reported through narrative synthesis. A total of 59 different outcome measure assessments and tools were used between studies. Meta-analysis found statistically significant intervention effect at 1-month readmission only. No other statistically significant effects were found on any other time point or outcome.

CONCLUSION

Nurse-coordinated interventions have a significant effect on 1-month readmissions for frail older adults discharged from hospital. The positive effect of interventions on other health outcomes within studies were mixed and indistinct, this is attributed to the large heterogeneity between studies and outcome measures.

RELEVANCE TO CLINICAL PRACTICE

This review should inform policy around transitional care recommendations at local, national and international levels. Nurses, who constitute half of the global health workforce, are ideally situated to provide transitional care interventions. Nurse-coordinated models of care, which identify patient needs and facilitate the continuation of care into the community improve patient outcomes.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Review findings will be useful for key stakeholders, clinicians and researchers to learn more about the essential elements of nurse-coordinated transitional care interventions that are best targeted to meet the needs of frail older adults.

IMPACT

When frail older adults experience transitions in care, for example discharging from hospital to home, there is an increased risk of adverse events, such as institutionalisation, hospitalisation, disability and death. Nurse-coordinated transitional care models have shown to be a potential solution to support adults with specific chronic diseases, but there is more to be known about the effectiveness of interventions in frail older adults. This review demonstrated the positive impact of nurse-coordinated interventions in improving readmissions for up to 1 month post-discharge, helping to inform future transitional care interventions to better support the needs of frail older adults.

REPORTING METHOD

This systematic review was reported in accordance with the Referred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

PATIENT OR PUBLIC CONTRIBUTION

No Patient or Public Contribution.

Safeguarding survival: Older persons with multiple chronic conditions' unplanned readmission experiences: A mixed methods systematic review

AIMS AND OBJECTIVES

The aim of this study was to create a holistic understanding of the psychosocial processes of older persons with multiple chronic conditions' experience with unplanned readmission experiences within 30 days of discharge home and identify factors influencing these psychosocial processes.

DESIGN

Mixed methods systematic review.

DATA SOURCES

Six electronic databases (Ovid MEDLINE (R) All 1946-present, Scopus, CINAHL, Embase, PsychINFO and Web of Science).

REVIEW METHODS

Peer-reviewed articles published between 2010 and 2021 and addressed study aims (n = 6116) were screened. Studies were categorised by method: qualitative and quantitative. Qualitative data synthesis used a meta-synthesis approach and applied thematic analysis. Quantitative data synthesis used vote counting. Data (qualitative and quantitative) were integrated through aggregation and configuration.

RESULTS

Ten articles (n = 5 qualitative; n = 5 quantitative) were included. 'Safeguarding survival' described older persons' unplanned readmission experience. Older persons experienced three psychosocial processes: identifying missing pieces of care, reaching for lifelines and feeling unsafe. Factors influencing these psychosocial processes included chronic conditions and discharge diagnosis, increased assistance with functional needs, lack of discharge planning, lack of support, increased intensity of symptoms and previous hospital readmission experiences.

CONCLUSIONS

Older persons felt more unsafe as their symptoms increased in intensity and unmanageability. Unplanned readmission was an action older persons required to safeguard their recovery and survival.

RELEVANCE TO CLINICAL PRACTICE

Nurses play a critical role in assessing and addressing factors that influence older persons' unplanned readmission. Identifying older persons' knowledge about chronic conditions, discharge planning, support (caregivers and community services), changes in functional needs, intensity of symptoms and past readmission experiences may prepare older persons to cope with their return home. Focusing on their health-care needs across the continuum of care (community, home and hospital) will mitigate the risks for unplanned readmission within 30 days of discharge.

REPORTING METHOD

PRISMA guidelines.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution due to design.

Predicting 7-day unplanned readmission in elderly patients with coronary heart disease using machine learning

Background

Short-term unplanned readmission is always neglected, especially for elderly patients with coronary heart disease (CHD). However, tools to predict unplanned readmission are lacking. This study aimed to establish the most effective predictive model for the unplanned 7-day readmission in elderly CHD patients using machine learning (ML) algorithms.

Methods

The detailed clinical data of elderly CHD patients were collected retrospectively. Five ML algorithms, including extreme gradient boosting (XGB), random forest, multilayer perceptron, categorical boosting, and logistic regression, were used to establish predictive models. We used the area under the receiver operating characteristic curve (AUC), accuracy, precision, recall, the F1 value, the Brier score, the area under the precision-recall curve (AUPRC), and the calibration curve to evaluate the performance of ML models. The SHapley Additive exPlanations (SHAP) value was used to interpret the best model.

Results

The final study included 834 elderly CHD patients, whose average age was 73.5 ± 8.4 years, among whom 426 (51.08%) were men and 139 had 7-day unplanned readmissions. The XGB model had the best performance, exhibiting the highest AUC (0.9729), accuracy (0.9173), F1 value (0.9134), and AUPRC (0.9766). The Brier score of the XGB model was 0.08. The calibration curve of the XGB model showed good performance. The SHAP method showed that fracture, hypertension, length of stay, aspirin, and D-dimer were the most important indicators for the risk of 7-day unplanned readmissions. The top 10 variables were used to build a compact XGB, which also showed good predictive performance.

Conclusions

In this study, five ML algorithms were used to predict 7-day unplanned readmissions in elderly patients with CHD. The XGB model had the best predictive performance and potential clinical application perspective.

Incidence, Causes, and Risk Factors of Unplanned Readmissions in Elderly Patients Undergoing Hip Fracture Surgery: An Observational Study

Aim

The purpose of this study was to examine the incidence and cause of unplanned readmission after Surgically Treated Hip Fractures in Elderly Patients and identify the associated risk factors.

Methods

This study retrospectively collected the data on elderly patients who underwent hip fracture surgery at two institutions from January 2020 to December 2021, and identified those who were readmitted within 12 months postoperatively. Based on the presence or not of postoperative readmission, they were divided into readmission and non-readmission groups. Demographics, surgery-related variables, and laboratory parameters were compared between groups. The specific causes for documented readmission were collected and summarized. Multivariate logistic regression analysis was performed to identify the associated risk factors.

Results

There were 930 patients including 76 (8.2%) patients who were readmitted within 12 months postoperatively. Overall, cardiac and respiratory complications and new-onset fractures were the first three common causes of readmission, taking an overwhelming proportion of 53.9% (41/76). Over 60% (61.8%, 47/76) of readmissions occurred within 30 days after surgery, with medical complications taking a predominance (89.4%, 42/47). New-onset fractures accounted for a proportion of 18.4% (14/76), occurring at different time points; especially, at 90-365 days, it accounted for 44.4% (8/18). Multivariate analysis revealed that age ≥80 years (OR, 1.0, 95% CI, 1.0 to 1.1; P=0.032), preoperative albumin level ≤21.5 g/L (OR, 1.1, 95% CI, 1.0 to 1.2; P=0.009), the postoperative occurrence of DVT (OR, 4.2, 95% CI, 2.5 to 7.2; P=0.001), and local anesthesia (OR, 2.1, 95% CI, 1.1 to 4.0; P=0.029) were independent risk factors for unplanned readmissions.

Conclusion

This study identified several risk factors for unplanned readmissions after elderly hip fractures, and provided detailed information about unplanned readmissions.

Sex and Racial/Ethnic Differences in Within-Stay Readmissions During Inpatient Rehabilitation Among Patients With Traumatic Brain Injury

OBJECTIVE

The aim of the study was to determine the association of sex and race/ethnicity with acute hospital readmissions ("within-stay readmissions") during inpatient rehabilitation facility care versus patients discharged home without a within-stay readmission among traumatic brain injury patients.

DESIGN

The study used a secondary analysis ( N = 210,440) of Uniform Data System for Medical Rehabilitation data using multiple logistic regression.

RESULTS

Within-stay readmissions occurred for 11.79% of female and 11.77% of male traumatic brain injury patients. Sex-specific models identified insurance, comorbidities, and complications factored differently in likelihood of within-stay readmissions among female than male patients but association of all other factors were similar per group. Within-stay readmissions differences were more pronounced by race/ethnicity: White, 11.63%; Black, 11.32%; Hispanic/Latino, 9.78%; and other, 10.61%. Descriptive bivariate analysis identified racial/ethnic patients with within-stay readmissions had greater days from traumatic brain injury to inpatient rehabilitation facility admission (White, 17.66; Black, 21.70; Hispanic/Latino, 23.81; other, 20.66) and lower admission cognitive and motor function. Factors differed across models predicting within-stay readmissions for race/ethnic groups; age, admission motor and cognitive function, complications, and length of stay were consistent across groups.

CONCLUSIONS

This study demonstrates disparities by race/ethnicity for inpatient rehabilitation facility within-stay readmissions among traumatic brain injury patients and factors predictive of this potentially preventable outcome by sex and race/ethnicity. Findings could inform care planning and quality improvement efforts for TBI patients.

Unbearable Suffering: A Concept Analysis

To understand and analyze the concept of "unbearable suffering" using a concept analysis method and to propose a new nursing diagnosis, the Walker and Avant method of concept analysis was used. Following the concept analysis method in 8 steps, a literature search was carried out in the MEDLINE, Dialnet, WOS, and PsycINFO databases between 2016 and 2020. Articles of theoretical or empirical nature, written in English, with the abstract available were included. As a result, 11 articles (4 theoretical and 7 empirical) were included. In addition, 2 cases were developed. The proposed new diagnosis, "unbearable suffering," refers to the situation of an individual who, because of a variety of factors, regardless of the cause, feels that he/she is unable to bear the suffering he/she is experiencing. The diagnosis is proposed for inclusion in "Domain 9: Coping/Stress Tolerance" and "Class 2: Coping Responses" of the North American Nursing Diagnosis Association taxonomy. Recognition of a nursing diagnosis for unbearable suffering could be key in identifying this type of suffering and facilitating interventions to reduce or mitigate it. Nurses play a fundamental role in situations of high levels of end-of-life suffering.

Older persons with multiple chronic conditions' experiences of unplanned readmission: An integrative review

BACKGROUND

As persons, 60 years of age and older live longer, they are more likely to develop one or more chronic conditions. Rising numbers of older persons with multiple chronic conditions (MCCs) will increase the need for home healthcare services and hospital services and unplanned readmissions will increase globally.

AIM

The aim of this integrative review was to explore the experiences of older persons with MCCs' unplanned readmission from home to hospital within 30 days of discharge using an integrative review.

METHOD

Whittemore and Knafl's method was followed to address the research aim. Four databases (Ovid MEDLINE, Scopus, CINAHL and Embase) were searched between 2005 and 2020, suitability for inclusion was assessed, and data were extracted and analysed using content analysis.

RESULTS

Thirteen articles (10 qualitative, one quantitative, and two mixed methods) were included in this review. Three themes emerged from the data that reflected older persons with MCCs' unplanned readmission experiences. These themes included (a) feelings of security, support and relief; (b) undesirable challenges at home (struggling to manage care and balancing support needs); and (c) unpleasant feelings and emotions (feelings of fear and mistrust, feelings of disappointment and loss, feelings of anxiousness and pressure).

CONCLUSION

Research about unplanned readmission to the hospital does not provide sufficient detail or understanding about older persons with MCCs' experiences or their psychosocial experiences. Addressing research gaps related to the psychosocial processes and factors associated with unplanned readmission is needed to expand the current understanding of the process and concept of unplanned readmission.

Relationship between dynamic changes of peri-procedure anxiety and short-term prognosis in patients undergoing elective percutaneous coronary intervention for coronary heart disease: A single-center, prospective study

Background

Patients with coronary heart disease (CHD) often experience anxiety, but the current studies on anxiety mostly focused on a certain point in time. Therefore, this study aimed to investigate the dynamic changes of peri-procedure anxiety, status of post-procedure quality of life, and cardiovascular readmission rates in patients with CHD who undergoing elective percutaneous coronary intervention (PCI), and to analyze the influence of peri-procedure anxiety on quality of life and readmission rate after PCI.

Methods

This prospective study was conducted at Changshu NO.1 People’s Hospital. A total of 220 patients with CHD undergoing elective PCI were selected as study subjects. The general information, clinical data, anxiety, quality of life and readmission of patients were collected. Multivariate linear regression was used to examine the effect of peri-procedure anxiety on quality of life, and multivariate logistic regression was used to analyze the influence of peri-procedure anxiety on readmission rate.

Results

This study showed the anxiety scores at hospitalization appointment(T1), 3 days before procedure(T2), 1 day before procedure(T3), 1 day after procedure(T4) were 57(55,61),64(61,68),54(51.58), and 54(50,60), respectively. And, at 3 months and 6 months after PCI, the scores of Seattle Angina Questionnaire (SAQ) were 346.61(319.06,366.52) and 353.34(334.18,372.84) respectively. During 6 months follow-up, 54 cases were readmitted, with a readmission rate of 25.5%. Statistical analysis showed that T1 with anxiety (P = 0.002) and T2 with anxiety (P = 0.024) were independent risk factors for treatment satisfaction at 3 months after PCI. Anxiety in T4 (P = 0.005) was an independent risk factor on the angina frequency at 6 months after PCI. T2 with anxiety (B = 1.445, P = 0.010, 95%CI:1.409–12.773) and T4 without anxiety (B = -1.587, P = 0.042, 95%CI:-0.044–0.941) were risk factors affecting readmission for cardiovascular reasons within 6 months.

Conclusion

Patient anxiety at T1 and T2 affects the treatment satisfaction dimension of the SAQ at 3 months after PCI, and anxiety at T4 affects the angina frequency dimension of the SAQ at 6 months after PCI. Anxiety at T2 and no anxiety at T4 increase short-term readmission rates. In the future, interventions should be strengthened at various time points in the peri-procedure period to improve post-procedure rehabilitation effect.