Predicting Risk Factors for 30-Day Readmissions Following Discharge From Post-Acute Care

Surgical outcomes in surgical oncology patients who participated in a family involvement program

BACKGROUND

There is a lack of evidence regarding the relationship between family involvement and outcomes in gastrointestinal oncology patients after surgery. To evaluate the effect of a family involvement program for patients undergoing oncologic gastrointestinal surgery on unplanned readmissions within 30 days after surgery.

METHODS

A multicenter patient-preference cohort study compared 2 groups: patients who participated in the family involvement program versus usual care. The program comprised involvement of family caregivers in care and training of health care professionals in family-centered care. Multivariable regression analyses were used to evaluate the effect of the FIP on the number of unplanned readmissions up to 30 days after surgery. Secondary outcomes included complications sensitive to fundamental care activities, emergency department visits, intensive care unit admissions, hospital length of stay, and the need for professional home care after discharge.

RESULTS

Of the 301 patients included, 152 chose the family involvement program, and 149 chose usual care. Postoperative readmissions occurred in 25 (16.4%) patients in the family involvement program group, and 15 (10.1%) in the usual care group (P = .11). A significant reduction of 16.2% was observed in the need for professional home care after discharge in the family involvement program group (P < .01). No significant differences were found between the 2 groups in the other secondary outcomes.

CONCLUSION

The family involvement program did not reduce the number of unplanned readmissions, but it led to a substantial reduction in-home care, which suggests an economic benefit from a societal perspective. Implementation of the family involvement program should, therefore, be considered in clinical practice.

The risk of rehospitalization within 30 days of discharge in older adults with malnutrition: A meta-analysis

INTRODUCTION

Malnutrition is a global health problem associated with higher rehospitalization risk, subsequently increasing the risks of adverse complications, and mortality in older individuals. Nevertheless, studies investigating this are still scarce, and even fewer reviewed and aggregated. A number of studies have recently assessed the correlation of malnourishment with rehospitalization among older adults.

OBJECTIVE/AIM

This systematic review and meta-analysis aimed to elaborate the correlation between malnutrition and 30-day rehospitalization in older adults.

METHODS

Systematic review was conducted on literatures from Cochrane, ScienceDirect, SpringerLink, Oxford Academic, and MEDLINE according to PRISMA Guideline, investigating the correlation of malnutrition in older adults with rehospitalization, using Malnutrition, Older Adults, and Rehospitalization as keywords. Meta-analysis was done using RevMan, with random-effect analysis model. P values of ≤0.05 were considered statistically significant with results reported as risk ratios (RR), mean differences (MD), 95 % confidence intervals (CI) and I2 statistics.

RESULTS

Seven literatures were analysed, consisting of 19,340 patients aged 65 or older undergoing hospitalization. Subjects were assessed with screening tools to identify malnutrition. Malnourished subjects are compared to others with normal nutrition; in cohort studies with follow-up period ranging from 3 to 16 months. Malnutrition significantly increased the risks of rehospitalization within 30 days (RR 1.73 [95 % CI 1.10-2.72], p = 0.02, I2 = 56 %), overall rehospitalization at all times (RR 1.33 [95 % CI 1.16-1.52], p < 0.0001, I2 = 75 %), and overall mortality (RR 2.66 [95 % CI 1.09-6.50], p = 0.03, I2 = 94 %).

CONCLUSION

Malnutrition exhibited significant consequences in older patients regarding the rate of rehospitalization and mortality based on this meta-analysis. Further research is highly encouraged to verify this finding.

Prevalence of factors contributing to unplanned hospital readmission of older medical patients when assessed by patients, their significant others and healthcare professionals: a cross-sectional survey

OBJECTIVE

To describe the prevalence of factors contributing to readmission of older medical patients perceived by patients, significant others and healthcare professionals and to examine the agreement of factors contributing to readmission.

METHODS

This cross-sectional survey was conducted at Horsens Regional Hospital from September 2020 to June 2021. Patients aged ≥ 65 years and who were readmitted within 30 days were included. The questionnaire covered eight themes: disease; diagnosing, treatment and care; network; organisation; communication; skills and knowledge; resources; and practical arrangements. Response groups were patients, significant others, GPs, district nurses and hospital physicians. Outcomes were the prevalence of factors contributing to 30-day readmission and inter-rater agreement between respondents.

RESULTS

In total, 165 patients, 147 significant others, 115 GPs, 75 district nurses and 165 hospital physicians were included. The patients' median age was 79 years (IQR 74-85), and 44% were women. The following were the most prevalent contributing factors: (1) relapse of the condition that caused the index admission, (2) the patient could not manage the symptoms or illness, (3) worsening of other illnesses or conditions, (4) the patient was not fully treated at the time of discharge and (5) the patient's situation was too complex for the medical practice to handle. Kappas ranged from 0.0142 to 0.2421 for patient-significant other dyads and 0.0032 to 0.2459 for GP-hospital physician dyads.

CONCLUSION

From the perspectives of the included respondents, factors associated with the disease and its management were the most prevalent contributors to readmission for older medical patients. Agreement on the contributing factors was generally low.

TRIAL REGISTRATION

Clinical trial number NCT05116644. Registration date October 27, 2021.

Association of Delirium and Depression with Respiratory and Outcome Measures in COVID-19 Inpatients

Delirium (DEL) and depression (DEP) may impair the course and severity of acute respiratory illness. The impact of such syndromes on respiratory and outcome parameters in inpatients with COVID-19 needs clarification. To clarify the relationship between DEL and DEP and respiratory outcome measures, we enrolled 100 inpatients from COVID-19 units of the Fondazione Policlinico Universitario Agostino Gemelli IRCCS of Rome. Participants were divided into those with DEL, DEP, or absence of either delirium or depression (CONT). Delirium severity was assessed with the Neelson and Champagne Confusion Scale (NEECHAM). Psychopathology was assessed with the Hamilton Rating Scale for Depression (HAM-D), the Hamilton Rating Scale for Anxiety (HAM-A), and the Brief Psychiatric Rating Scale (BPRS). Dependent variables include: (a) respiratory parameters, i.e., partial pressure of oxygen in arterial blood (PaO2), oxygen saturation (SpO2), ratio between arterial partial pressure of oxygen (PaO2), and fraction of inspired oxygen (PaO2/FiO2); (b) outcome parameters, i.e., duration of hospitalization and number of pharmacological treatments used during the hospitalization. We investigated between-group differences and the relationships between severity of delirium/depression and the dependent variables. Duration of hospitalization was longer for DEL than for either DEP or CONT and for DEP compared to CONT. NEECHAM and HAM-D scores predicted lower PaO2 and PaO2/FiO2 levels in the DEL and DEP groups, respectively. In DEP, BPRS scores positively correlated with duration of hospitalization. Delirium impacted the course of COVID-19 more severely than depression. The mechanisms by which delirium and depression worsen respiratory parameters differ.

Activating Relatives to Get Involved in Care After Surgery: Protocol for a Prospective Cohort Study

BACKGROUND

Postoperative complications and readmissions to hospital are factors known to negatively influence the short- and long-term quality of life of patients with gastrointestinal cancer. Active family involvement in activities, such as fundamental care activities, has the potential to improve the quality of health care. However, there is a lack of evidence regarding the relationship between active family involvement and outcomes in patients with gastrointestinal cancer after surgery.

OBJECTIVE

This protocol aims to evaluate the effect of a family involvement program (FIP) on unplanned readmissions of adult patients undergoing surgery for malignant gastrointestinal tumors. Furthermore, the study aims to evaluate the effect of the FIP on family caregiver (FC) burden and their well-being and the fidelity of the FIP.

METHODS

This cohort study will be conducted in 2 academic hospitals in the Netherlands. The FIP will be offered to adult patients and their FCs. Patients are scheduled for oncological gastrointestinal surgery and have an expected hospital stay of at least 5 days after surgery. FCs must be willing to participate in fundamental care activities during hospitalization and after discharge. Consenting patients and their families will choose to either participate in the FIP or be included in the usual care group. According to the power calculation, we will recruit 150 patients and families in the FIP group and 150 in the usual care group. The intervention group will receive the FIP that consists of information, shared goal setting, task-oriented training, participation in fundamental care, presence of FCs during ward rounds, and rooming-in for at least 8 hours a day. Patients in the comparison group will receive usual postoperative care. The primary outcome measure is the number of unplanned readmissions up to 30 days after surgery. Several secondary outcomes will be collected, that is, total number of complications (sensitive to fundamental care activities) at 30 and 90 days after surgery, emergency department visits, intensive care unit admissions up to 30 and 90 days after surgery, hospital length of stay, patients' quality of life, and the amount of home care needed after discharge. FC outcomes are caregiver burden and well-being up to 90 days after participating in the FIP. To evaluate fidelity, we will check whether the FIP is executed as intended. Univariable regression and multivariable regression analyses will be conducted.

RESULTS

The first participant was enrolled in April 2019. The follow-up period of the last participant ended in May 2022. The study was funded by an unrestricted grant of the University hospital in 2018. We aim to publish the results in 2023.

CONCLUSIONS

This study will provide evidence on outcomes from a FIP and will provide health care professionals practical tools for family involvement in the oncological surgical care setting.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/38028.

Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision

Physiatry is a medical specialty focused on improving functional outcomes in patients with a variety of medical conditions that affect the brain, spinal cord, peripheral nerves, muscles, bones, joints, ligaments, and tendons. Social determinants of health (SDH) play a key role in determining therapeutic process and patient functional outcomes. Big data and precision medicine have been used in other fields and to some extent in physiatry to predict patient outcomes, however many challenges remain. The interplay between SDH and physiatry outcomes is highly variable depending on different phases of care, and more favorable patient profiles in acute care may be less favorable in the outpatient setting. Furthermore, SDH influence which treatments or interventional procedures are accessible to the patient and thus determine outcomes. This opinion paper describes utility of existing datasets in combination with novel data such as movement, gait patterning and patient perceived outcomes could be analyzed with artificial intelligence methods to determine the best treatment plan for individual patients in order to achieve maximal functional capacity.

Risk factors of readmission after geriatric hospital care: An interRAI-based cohort study in Finland

PURPOSE

To identify risk factors for readmission after geriatric hospital care.

METHODS

A retrospective cohort study of 1,167 community-dwelling patients aged ≥70 years who were hospitalised in two geriatric hospitals and discharged to their homes over a three-year period. We combined the results of the interRAI-post acute care instrument (interRAI-PAC) with hospital discharge records. Factors associated with readmissions within 90 days following discharge were analysed using logistic regression analysis.

RESULTS

The patients' mean age was 84.5 (SD 6.2) years, and 71% (n = 827) were women. The 90-day readmission rate was 29.5%. The risk factors associated with readmission in the univariate analysis were as follows: age, admission from home vs. acute care hospital, Alzheimer's disease, unsteady gait, fatigue, unstable conditions, Activities of Daily Living Hierarchy Scale (ADLH) score, Cognitive Performance Scale (CPS) score, body mass index (BMI), frailty index, bowel incontinence, hearing difficulties, and poor self-rated health. In the multivariable analysis, age of ≥90 years, ADLH ≥1, unsteady gait, BMI <25 or ≥30 kg/m 2 , and frailty remained as risk factors for readmission. Surgical operation during the treatment period was associated with a lower readmission risk.

CONCLUSIONS AND IMPLICATIONS

InterRAI-PAC performed upon admission to geriatric hospitals revealed patient-related risk factors for readmission. Based on the identified risk factors, we recommend that the patient's functional ability, activities of daily living (ADL) needs, and individual factors underlying ADL disability, as well as nutritional and mobility problems should be carefully addressed and managed during hospitalization to diminish the risk for readmission.