Risk factors for hospital readmissions in elderly patients: a systematic review

Fragmented Readmissions From a Nursing Facility in Medicare Beneficiaries

Over one-third of Medicare beneficiaries discharged to nursing facilities require readmission. When those readmissions are to a different hospital than the original admission, or "fragmented readmissions," they carry increased risks of mortality and subsequent readmissions. This study examines whether Medicare beneficiaries readmitted from a nursing facility are more likely to have a fragmented readmission than beneficiaries readmitted from home among a 2018 cohort of Medicare beneficiaries, and examined whether this association was affected by a diagnosis of Alzheimer's Disease (AD). In fully adjusted models, readmissions from a nursing facility were 19% more likely to be fragmented (AOR 1.19, 95% CI 1.16, 1.22); this association was not affected by a diagnosis of AD. These results suggest that readmission from nursing facilities may contribute to care fragmentation for older adults, underscoring it as a potentially modifiable pre-hospital risk factor for fragmented readmissions.

Personalized, interdisciplinary patient pathway for cross-sector care of multimorbid patients (eliPfad trial): study protocol for a randomized controlled trial

BACKGROUND

Multimorbid and frail elderly patients often carry a high burden of treatment. Hospitalization due to the onset of an acute illness can disrupt the fragile balance, resulting in further readmissions after hospital discharge. Current models of care in Germany do not meet the needs of this patient group. Rather lack of coordination and integration of care combined with a lack of interdisciplinary approaches result in fragmented and inadequate care and increase the burden of treatment even more.

METHODS

eliPfad is a randomized controlled trial conducted in 6 hospitals in Germany. Multimorbid elderly patients aged 55 or older are randomly assigned to the intervention or control group. Patients in the intervention group receive the eliPfad intervention additional to standard care. The core components of eliPfad are: Early assessment of patients' individual treatment burden and support through a specially trained case manager Involvement of the patient's general practitioner (GP) right from the beginning of the hospital stay Preparation of an individual, cross-sectoral treatment plan through the interdisciplinary hospital team with the involvement of the patient's GP Establishment of a cross-sectoral electronic patient record (e-ePA) for documentation and cross-sectoral exchange Support/Promote patient adherence Tailored early rehabilitation during the hospital stay, which is continued at home Close-tele-monitoring of medically meaningful vital parameters through the use of tablets, digital devices, and personal contacts in the home environment The intervention period begins in the hospital and continues 6 weeks after discharge. Patients in the control group will be treated according to standard clinical care and discharged according to current discharge management. The primary aim is the prevention/reduction of readmissions in the first 6 months after discharge. In addition, the impact on health-related quality of life, the burden of treatment, survival, self-management, medication prescription, health literacy, patient-centered care, cost-effectiveness, and process evaluation will be examined. Nine hundred forty-eight patients will be randomized 1:1 to intervention and control group.

DISCUSSION

If eliPfad leads to fewer readmissions, proves (cost-)effective, and lowers the treatment burden, it should be introduced as a new standard of care in the German healthcare system.

TRIAL REGISTRATION

The trial was registered in the German Clinical Trials Registry (Deutsches Register Klinischer Studien (DRKS)) on 08/14/2023 under the ID DRKS00031500 .

An overview of reviews and synthesis across 440 studies examines the importance of hospital readmission predictors across various patient populations

OBJECTIVES

The scientific literature contains an abundance of prediction models for hospital readmissions. However, no review has yet synthesized their predictors across various patient populations. Therefore, our aim was to examine predictors of hospital readmissions across 13 patient populations.

STUDY DESIGN AND SETTING

An overview of systematic reviews was combined with a meta-analytical approach. Two thousand five hundred four different predictors were categorized using common ontologies to pool and examine their odds ratios and frequencies of use in prediction models across and within different patient populations.

RESULTS

Twenty-eight systematic reviews with 440 primary studies were included. Numerous predictors related to prior use of healthcare services (odds ratio; 95% confidence interval: 1.64; 1.42-1.89), diagnoses (1.41; 1.31-1.51), health status (1.35; 1.20-1.52), medications (1.28; 1.13-1.44), administrative information about the index hospitalization (1.23; 1.14-1.33), clinical procedures (1.20; 1.07-1.35), laboratory results (1.18; 1.11-1.25), demographic information (1.10; 1.06-1.14), and socioeconomic status (1.07; 1.02-1.11) were analyzed. Diagnoses were frequently used (in 37.38%) and displayed large effect sizes across all populations. Prior use of healthcare services showed the largest effect sizes but were seldomly used (in 2.57%), whereas demographic information (in 13.18%) was frequently used but displayed small effect sizes.

CONCLUSION

Diagnoses and patients' prior use of healthcare services showed large effects both across and within different populations. These results can serve as a foundation for future prediction modeling.

Prevalence of and Risk Factors for Drug-Related Readmissions in Older Adults: A Systematic Review and Meta-Analysis

BACKGROUND

Older adults are at an increased risk of drug-related problems, especially following discharge from hospital. Drug-related readmissions place a large burden on the patient and the healthcare system. However, previous studies report inconsistent results on the prevalence and associated risk factors for drug-related hospital readmissions in older adults.

OBJECTIVES

We aimed to assess the prevalence of drug-related readmissions in older adults aged 65 years and older and investigate the drug classes, preventability and risk factors most associated with these readmissions.

METHODS

A systematic review and meta-analysis were undertaken to answer our objectives. A search of four databases (MEDLINE, Embase, CINAHL and Scopus) was conducted. Three authors independently performed title and abstract screening, full-text screening and data extraction of all included studies. A meta-analysis was conducted to calculate the pooled prevalence of drug-related readmissions across all studies, and a subgroup analysis was performed to explore heterogeneity among studies reporting on adverse drug reaction-related readmissions.

RESULTS

A total of 1978 studies were identified in the initial search, of which four studies were included in the final synthesis. Three studies focused on readmissions due to adverse drug reactions and one study focused on readmissions due to drug-related problems. A pooled prevalence of 9% (95% confidence interval 2-18) was found for drug-related readmissions across all studies, and a pooled prevalence of 6% (95% confidence interval 4-10) was found for adverse drug reaction-related readmissions. Three studies explored the preventability of readmissions and 15.4-22.2% of cases were deemed preventable. The drug classes most associated with adverse drug reaction readmissions included anticoagulants, antibiotics, psychotropics and chemotherapy agents. Polypharmacy (the use of five or more medications) and several comorbidities such as cancer, liver disease, ischaemic heart disease and peptic ulcer disease were identified as risk factors for drug-related readmissions.

CONCLUSIONS

Almost one in ten older adults discharged from hospital experienced a drug-related hospital readmission, with one fifth of these deemed preventable. Several comorbidities and the use of polypharmacy and high-risk drugs were identified as prominent risk factors for readmission. Further research is needed to explore possible causes of drug-related readmissions in older adults for a more guided approach to the development of effective medication management interventions.

Did the Acute Frailty Network improve outcomes for older people living with frailty? A staggered difference-in-difference panel event study

OBJECTIVES

To evaluate whether the Acute Frailty Network (AFN) was more effective than usual practice in supporting older people living with frailty to return home from hospital sooner and healthier.

DESIGN

Staggered difference-in-difference panel event study allowing for differential effects across intervention cohorts.

SETTING

All English National Health Service (NHS) acute hospital sites.

PARTICIPANTS

All 1 410 427 NHS patients aged 75+ with high frailty risk who had an emergency hospital admission to acute, general or geriatric medicine departments between 1 January 2012 and 31 March 2019.

INTERVENTION

Membership of the AFN, a quality improvement collaborative designed to support acute hospitals in England deliver evidence-based care for older people with frailty. 66 hospital sites joined the AFN in six sequential cohorts, the first starting in January 2015, the sixth in May 2018. Usual care was delivered in the remaining 248 control sites.

MAIN OUTCOME MEASURES

Length of hospital stay, in-hospital mortality, institutionalisation, hospital readmission.

RESULTS

No significant effects of AFN membership were found for any of the four outcomes nor were there significant effects for any individual cohort.

CONCLUSIONS

To realise its aims, the AFN might need to develop better resourced intervention and implementation strategies.

New horizons in the analysis of hospital readmissions of older adults

This short communication highlights analytical methods that can be usefully applied to the problem of hospital readmissions of older adults. The limitations of the models currently used in studies of hospital readmissions are described. In summary, analyses of hospital readmissions face two important methodological and statistical problems not accounted for by these currently used statistical models: the potential recurrence of readmissions, and death, a terminal event which absorbs the readmission process. Not addressing the issue raised by recurrent events and terminal event generates biased estimates. We discuss an approach for the analysis of hospital readmission risk and death in the same framework. Understanding the features of this kind of approaches is essential at a time when high-quality data on hospital readmission in older patients are becoming available to a large number of researchers. Models adapted for the analysis of recurrent and terminal events are presented, and their application to studies of hospital readmission are explained, with reference to two cohorts of several thousand older individuals.

Associations of hospitalisation - admission, readmission and length to stay - with multimorbidity patterns by age and sex in adults and older adults: the ELSI-Brazil study

BACKGROUND

Although the association between multimorbidity (MM) and hospitalisation is known, the different effects of MM patterns by age and sex in this outcome needs to be elucidated. Our study aimed to analyse the association of hospitalisations' variables (occurrence, readmission, length of stay) and patterns of multimorbidity (MM) according to sex and age.

METHODS

Data from 8.807 participants aged ≥ 50 years sourced from the baseline of the Brazilian Longitudinal Study of Ageing (ELSI-Brazil) were analysed. Multimorbidity was defined as ≥ 2 (MM2) and ≥ 3 (MM3) chronic conditions. Poisson regression was used to verify the association between the independent variables and hospitalisation according to sex and age group. Multiple linear regression models were constructed for the outcomes of readmission and length of stay. Ising models were used to estimate the networks of diseases and MM patterns.

RESULTS

Regarding the risk of hospitalisation among those with MM2, we observed a positive association with male sex, age ≥ 75 years and women aged ≥ 75 years. For MM3, there was a positive association with hospitalisation among males. For the outcomes hospital readmission and length of stay, we observed a positive association with male sex and women aged ≥ 75 years. Network analysis identified two groups that are more strongly associated with occurrence of hospitalisation: the cardiovascular-cancer-glaucoma-cataract group stratified by sex and the neurodegenerative diseases-renal failure-haemorrhagic stroke group stratified by age group.

CONCLUSION

We conclude that the association between hospitalisation, readmission, length of stay, and MM changes when sex and age group are considered. Differences were identified in the MM patterns associated with hospitalisation according to sex and age group.

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.

Older patient participation in discharge medication communication: an observational study

OBJECTIVE

To describe the extent to which older patients participate in discharge medication communication, and identify factors that predict patient participation in discharge medication communication.

DESIGN

Observational study.

SETTING

An Australian metropolitan tertiary hospital.

PARTICIPANTS

173 older patients were observed undertaking one medication communication encounter prior to hospital discharge.

OUTCOME

Patient participation measured with MEDICODE, a valid and reliable coding framework used to analyse medication communication. MEDICODE provides two measures for patient participation: (1) Preponderance of Initiative and (2) Dialogue Ratio.

RESULTS

The median for Preponderance of Initiative was 0.7 (IQR=0.5-1.0) and Dialogue Ratio was 0.3 (IQR=0.2-0.4), indicating healthcare professionals took more initiative and medication encounters were mostly monologue rather than a dialogue or dyad. Logistic regression revealed that patients had 30% less chance of having dialogue or dyads with every increase in one medication discussed (OR 0.7, 95% CI 0.5 to 0.9, p=0.01). Additionally, the higher the patient's risk of a medication-related problem, the more initiative the healthcare professionals took in the conversation (OR 1.5, 95% CI 1.0 to 2.1, p=0.04).

CONCLUSION

Older patients are passive during hospital discharge medication conversations. Discussing less medications over several medication conversations spread throughout patient hospitalisation and targeting patients at high risk of medication-related problems may promote more active patient participation, and in turn medication safety outcomes.

The impact of including a medication review in an integrated care pathway: A pilot study

AIM

The objective of the present study was to measure the impact of the intervention of combining a medication review with an integrated care approach on potentially inappropriate medications (PIMs) and hospital readmissions in frail older adults.

METHODS

A cohort of hospitalized older adults enrolled in the French PAERPA integrated care pathway (the exposed cohort) was matched retrospectively with hospitalized older adults not enrolled in the pathway (unexposed cohort) between January 1st, 2015, and December 31st, 2018. The study was an analysis of French health administrative database. The inclusion criteria for exposed patients were admission to an acute care department in a general hospital, age 75 years or over, at least three comorbidities or the prescription of diuretics or oral anticoagulants, discharge alive and performance of a medication review.

RESULTS

For the study population (n = 582), the mean ± standard deviation age was 82.9 ± 4.9 years, and 380 (65.3%) were women. Depending on the definition used, the overall median number of PIMs ranged from 2 [0;3] on admission to 3 [0;3] at discharge. The intervention was not associated with a significant difference in the mean number of PIMs. Patients in the exposed cohort were half as likely to be readmitted to hospital within 30 days of discharge relative to patients in the unexposed cohort.

CONCLUSION

Our results show that a medication review was not associated with a decrease in the mean number of PIMs. However, an integrated care intervention including the medication review was associated with a reduction in the number of hospital readmissions at 30 days.

The effectiveness of tele-transitions of care interventions in high-risk older adults: A systematic review and meta-analysis

BACKGROUND

Chronically ill older patients are often vulnerable to detrimental health outcomes and have increased risk of preventable readmission. Tele-transitions of care interventions utilizing telecommunications and surveillance technologies help monitor patients' conditions after discharge to prevent negative health outcomes.

OBJECTIVES

This systematic review and meta-analysis aimed to identify and synthesize available evidence on the effectiveness of tele-transitions of care interventions on various health outcomes in older adults at high risk for readmission discharged from acute setting.

METHODS

Published, unpublished studies and gray literatures were identified through searching PubMed, Medline, Embase, PsycINFO, Cochrane Library, CINAHL, Scopus, ProQuest Dissertations and theses and Google Scholar from inception to December 2021. Only randomized controlled trials published in English language assessing tele-transitions of care interventions on high-risk older adults were included. Meta-analyses were performed using random-effects model in RevMan 5.4. Sensitivity and subgroup and narrative analyses were conducted.

RESULTS

Fourteen studies were included, of which thirteen were considered for meta-analyses. Tele-transitions of care interventions were effective in reducing readmission rate (RR = 0.59, 95%CI 0.50-0.69, z = 6.28, p < 0.00001), mortality rate (RR = 0.72, 95%CI 0.53-0.98, z = 2.12, p = 0.03), and improving health-related quality of life (SMD = 0.24, Z = 2.04, p = 0.04). However, reduction of emergency department visit (RR = 1.10, 95%CI 0.59-2.06, z = 0.31, p = 0.76) and improvement of functional status (SMD = -0.06, Z = 0.19, p = 0.85) was not observed following intervention. Subgroup analysis found that the positive effects of tele-transitions of care interventions persist up to 180 days even after the intervention.

CONCLUSION

This systematic review and meta-analysis concluded that tele-transitions of care interventions have promising effects on readmission, mortality rate and health-related quality of life. Tele-transitions of care interventions are cost-effective and suitable for large-scale implementation in healthcare settings.

REGISTRATION

The protocol was registered on PROSPERO (CRD42022295665).

TWEETABLE ABSTRACT

Systematic review demonstrates that monitoring older patients at high risk of readmission, following discharge from hospital, using telecommunication and surveillance technologies significantly reduces readmission and mortality rates and improves their quality of life.

Unsupervised algorithms to identify potential under-coding of secondary diagnoses in hospitalisations databases in Portugal

BACKGROUND

Quantifying and dealing with lack of consistency in administrative databases (namely, under-coding) requires tracking patients longitudinally without compromising anonymity, which is often a challenging task.

OBJECTIVE

This study aimed to (i) assess and compare different hierarchical clustering methods on the identification of individual patients in an administrative database that does not easily allow tracking of episodes from the same patient; (ii) quantify the frequency of potential under-coding; and (iii) identify factors associated with such phenomena.

METHOD

We analysed the Portuguese National Hospital Morbidity Dataset, an administrative database registering all hospitalisations occurring in Mainland Portugal between 2011-2015. We applied different approaches of hierarchical clustering methods (either isolated or combined with partitional clustering methods), to identify potential individual patients based on demographic variables and comorbidities. Diagnoses codes were grouped into the Charlson an Elixhauser comorbidity defined groups. The algorithm displaying the best performance was used to quantify potential under-coding. A generalised mixed model (GML) of binomial regression was applied to assess factors associated with such potential under-coding.

RESULTS

We observed that the hierarchical cluster analysis (HCA) + k-means clustering method with comorbidities grouped according to the Charlson defined groups was the algorithm displaying the best performance (with a Rand Index of 0.99997). We identified potential under-coding in all Charlson comorbidity groups, ranging from 3.5% (overall diabetes) to 27.7% (asthma). Overall, being male, having medical admission, dying during hospitalisation or being admitted at more specific and complex hospitals were associated with increased odds of potential under-coding.

DISCUSSION

We assessed several approaches to identify individual patients in an administrative database and, subsequently, by applying HCA + k-means algorithm, we tracked coding inconsistency and potentially improved data quality. We reported consistent potential under-coding in all defined groups of comorbidities and potential factors associated with such lack of completeness.

CONCLUSION

Our proposed methodological framework could both enhance data quality and act as a reference for other studies relying on databases with similar problems.

Readmissions to hospital following a decision to eat and drink with acknowledged risk

People with a dysphagia may eat and drink with acknowledged risks (EDAR). The FORWARD care bundle (Feeding via the Oral Route With Acknowledged Risk of Deterioration) is used at our hospital to support patients who are EDAR. This two-year retrospective study of patients supported by FORWARD aimed to determine incidence of EDAR-related readmissions and effects of discharge location and documented preferred place of care in advance care plans. Of 316 patients supported by FORWARD, 200 were discharged alive. 63% (n=126) were not readmitted within six months. Of 74 patients readmitted, 49% had an EDAR-related readmission. Significantly fewer patients wishing to remain at home had EDAR-related readmissions (7%, n=4) than those without a documented preferred place of care (23%, n=30, p<0.01), suggesting advance care plans are effective. Significantly more (23%, n=29) patients discharged to private homes had EDAR-related readmissions than those in nursing/care homes (10%, n=6, p<0.05), which could suggest residential care provides more support.

Risk Factors for Early Hospital Readmission in Geriatric Patients: A Systematic Review

The number of older patients is constantly growing, and early hospital readmissions in this population represent a major problem from a health, social and economic point of view. Furthermore, the early readmission rate is often used as an indicator of the quality of care. We performed a systematic review of the literature to better understand the risk factors of early readmission (30 and 90 days) in the geriatric population and to update the existing evidence on this subject. The search was carried out on the MEDLINE, EMBASE and PsycINFO databases. Three independent reviewers assessed the potential inclusion of the studies, and then each study was independently assessed by two reviewers using Joanna Briggs Institute critical appraisal tools; any discrepancies were resolved by the third reviewer. Studies that included inpatients in surgical wards were excluded. Twenty-nine studies were included in the review. Risk factors of early readmission can be classified into socio-economic factors, factors relating to the patient's health characteristics, factors related to the use of the healthcare system and clinical factors. Among these risk factors, those linked to patient frailty play an important role, in particular malnutrition, reduced mobility, risk of falls, fatigue and functional dependence. The early identification of patients at higher risk of early readmission may allow for targeted interventions in view of discharge.

Frequency and Risk Factors of Re-hospitalization in Geriatric Inpatient Wards: A Multicenter Retrospective Analysis

PURPOSE

We aimed to evaluate frequency and risk factors of re-hospitalization which are not stated in comorbidity indexes in geriatric wards.

METHODS

A total of 585 patients who were admitted to tertiary care geriatric inpatient clinics at least once between 1 September 2017 and 1 September 2018 and who survived to discharge during initial hospitalization were included in this cross-sectional retrospective multicenter study.

RESULTS

Overall, 507(86.7%) patients were hospitalized once for treatment during the study period, while re-hospitalization occurred in 78(13.3%) patients. Rates of previous surgery (10.3 vs. 3.0%, p = .006), urinary incontinence (UI) (50.0 vs. 36.3%, p = .021), controlled hypertension (64.1 vs. 46.4%, p = .024), malnutrition (55.1 vs. 29.6%, p = .014) were significantly higher in re-hospitalized patients. Re-hospitalized patients were younger (mean ± SD 76.4 ± 8.3 vs. 79.6 ± 7.9 years, p = .002) than once-hospitalized patients. Multivariate logistic regression analysis revealed the younger patient age (OR, 0.942, 95% CI 0.910 to 0.976, p = .001), higher Modified Charlson Comorbidity Index (MCCI) score (OR, 1.368, 95% CI 1.170 to 1.600, p < .001) to significantly predict the increased risk of re-hospitalization.

CONCLUSIONS

Our findings showed that previous history of surgery and geriatric syndromes such as UI, malnutrition were determined to significantly predict the increased risk of re-hospitalization. We suggest that these risk factors be added to prognostic tools designed for elderly patients.

Clinical value of Hospital Admission Risk Profile (HARP) and the Identification of Seniors at Risk (ISAR) scales to predict hospital-associated functional decline in an acute geriatric unit in Colombia

Background

Older adults admitted to a hospital for acute illness are at higher risk of hospital-associated functional decline during stays and after discharge.

Objective

This study aimed to assess the calibration and discriminative abilities of the Hospital Admission Risk Profile (HARP) and the Identification of Seniors at Risk (ISAR) scales as predictors of hospital-associated functional decline at discharge in a cohort of patients older than age 65 receiving management in an acute geriatric care unit in Colombia.

Methods

This study is an external validation of ISAR and HARP prediction models in a cohort of patients over 65 years managed in an acute geriatric care unit. The study included patients with Barthel index measured at admission and discharge. The evaluation discriminate ability and calibration, two fundamental aspects of the scales.

Results

Of 833 patients evaluated, 363 (43.6%) presented hospital-associated functional decline at discharge. The HARP underestimated the risk of hospital-associated functional decline for patients in low- and intermediate-risk categories (relation between observed/expected events (ROE) 1.82 and 1.51, respectively). The HARP overestimated the risk of hospital-associated functional decline for patients in the high-risk category (ROE 0.91). The ISAR underestimated the risk of hospital-associated functional decline for patients in low- and high-risk categories (ROE 1.59 and 1.11). Both scales showed poor discriminative ability, with an area under the curve (AUC) between 0.55 and 0.60.

Conclusions

This study found that HARP and ISAR scales have limited discriminative ability to predict HAFD at discharge. The HARP and ISAR scales should be used cautiously in the Colombian population since they underestimate the risk of hospital-associated functional decline and have low discriminative ability.

Investigating the effect strength of positive risk-taking barriers on discharge decisions in occupational therapy intermediate care: A factorial survey

Introduction:

Positive risk-taking in occupational therapy intermediate care is a requirement, yet little is known about how positive risk-taking barriers influence discharge decisions at different experience levels.

Method:

A factorial survey was used to investigate positive risk-taking barriers (Limited Capacity, Risk Averse Family, Blame Culture and No Support). Participants self-categorised their experience level into Novice or Semi-expert or Expert before analysing four vignettes relating to recommending a home discharge for an older adult. Data were analysed using Multiple Regression and One-Way Analysis of Variance.

Results:

Seventy-four participants responded to two hundred eighty-one vignettes. The barriers that reduced the likelihood to recommend a home discharge for an older adult were ‘No Support’, Novices (β = −0.315, p = 0.002), Semi-experts (β = −0.313, p = 0.001) Experts (β = −0.254, p = 0.009); ‘Limited Capacity’, Novices (β = −0.305, p < 0.003), Semi-experts (β = −0.254, p = 0.006) Experts (β = −0.376, p = 0.001) and ‘Blame Culture’ Semi-experts (β = −0.240, p = 0.010). Novices were found to be less likely to recommend a home discharge by comparison.

Conclusion:

The ‘Limited Capacity’, ‘No Support’ and ‘Blame Culture’ barriers had the strongest effect and Novices were less likely to recommend a home discharge overall. These findings could inform future research and pre-registration Occupational Therapy education.

Factors Related to Hospital Readmission of Frail Older Adults in Korea

PURPOSE

Frail older adults have a higher risk of hospital readmission due to decline in physical, functional, and psychological health status. The impact of readmission on individuals, families, or the healthcare system is tremendously devastating. This study aimed to investigate factors associated with hospital readmission of frail older adults.

MATERIALS AND METHODS

This was a retrospective descriptive study based on multi-professional health assessments found in electronic medical records of patients from a university-affiliated hospital in Seoul, Korea. The participants were 141 older adults who were admitted to the geriatric department with medical problems. Frailty, components of the comprehensive geriatric assessment including nutrition, physical functions, psychological and cognitive status, clinical data including length of hospital stay, and readmission within 30, 90, and 180 days were collected. Survival analysis was performed, and Cox proportional hazard regression model was used to investigate the risk factors for readmission.

RESULTS

The statistically significant variables at each time point were slightly different. However, at most time points, disease-related problems (i.e., comorbidities and medications) and body functions (i.e., grip strength and physical activity) were included. The median duration until readmission was 27 days, and grip strength was found to be significantly related to readmission (p=0.020).

CONCLUSION

After discharge, both medical services to manage the medical condition and intervention to maintain physical function are needed to prevent frail older adults from being readmitted to the hospital.

Older patients acutely admitted and readmitted to the same geriatric department: a descriptive cohort study of primary diagnoses and health characteristics

PURPOSE

Advancing age is associated with increased risk for acute admissions and readmissions. The societal challenges of ageing populations have made the prevention of readmissions come into focus. Readmission may be perceived as the result of inadequate treatment during index admission but may also be caused by the onset of new disease following a generally impaired health of geriatric patients. We aimed at comparing the diagnoses at index and readmission to illuminate this issue.

METHODS

This is a descriptive, retrospective cohort study of patients acutely admitted and readmitted (within 30 days from discharge) to the same geriatric ward (November 1, 2017-April 30, 2018). Electronic medical records were scrutinised manually for discharge diagnoses and patient characteristics.

RESULTS

Readmission rate was 10.7% (98 of 918 unique admissions). Mean age was 85.6 (men 56%). About 75% were readmitted with a new acute disease unrelated to index admission, most commonly pneumonia (27%), other infections (22%), and dehydration (14%). The health characteristics were long index length-of-stay (median 7; IQR 5-11), high Charlson Comorbidity Index (CCI ≥ 3, n = 49 (50%), polypharmacy (≥ 5 prescriptions) (94%), and hospitalisations 12 months prior to index admission (57%).

KEY CONCLUSIONS

The majority of readmitted geriatric patients have contracted a new acute condition. Although being characterised by several adverse health characteristics, prospective studies comparing readmitted and non-readmitted geriatric patients are needed. Still, increasing the awareness of early recognition of acute disease onset in geriatric patients is warranted.

Early liaison psychiatry consultations and general hospital readmission: A retrospective cohort study

BACKGROUND

Readmission rates are under growing scrutiny as an indicator of quality of care as much as a potential source of savings. Patients with comorbid psychiatric conditions are more likely to be readmitted, so Consultation-Liaison Psychiatry (CLP) may play a role in lowering readmission rates.

METHOD

In this retrospective cohort study conducted in a general hospital in Paris, France, all consecutive adult inpatients referred for the first time to CLP from January 2008 to December 2016, were included. The main outcomes were 30-day and 7-day readmissions in the same hospital, excluding iterative and planned stays. The objective of this study is to determine whether the timing of psychiatric consultations is associated with 30-day and 7-day readmission rates.

RESULTS

A total of 4498 inpatients (2298(51·1%) women, age = 59·8(±19·3) years) were referred to CLP. Adjusting for age, sex, place of residence, year of admission, type of ward, psychiatric diagnosis and disease severity, later consultation was associated with higher 30-day and 7-day readmission rates (adjusted Odds Ratio [95% confidence interval]:1.21[1·10-1·33] and 1·26[1·11-3·13], respectively). Further adjusting for length of stay, the association remained significant for 7-day readmission (1.28[1·05-1·57]). After stratification on the length of stay, for stays in the highest tercile (i.e., >21 days) an intervention after day 3 (versus before) was associated with 30-day and 7-day readmission rates of 15·8% versus 8·6%(1·81 [1·11-3·13]) and 4·9% versus 1·8%(2·98[1·16-9·88]), respectively.

CONCLUSION

Earlier psychiatric consultation was associated with fewer 30-day and 7-day readmissions. Interventional studies are needed to show that proactive CLP teams could help general hospitals to improve quality of care and make significant economic savings.

Safety of Elderly Fallers: Identifying Associated Risk Factors for 30-Day Unplanned Readmissions Using a Clinical Data Warehouse

BACKGROUND

Hospital readmissions are a major problem in the older people as they are frequent, costly, and life-threatening. Falls among older adults are the leading cause of injury, deaths, and emergency department visits for trauma.

OBJECTIVE

The main objective was to determine risk factors associated with a 30-day readmission after index hospital admission for fall-related injuries.

METHODS

A retrospective nested case-control study was conducted. Data from elderly patients initially hospitalized for fall-related injuries in 2019, in 11 of the Greater Paris University Hospitals and discharged home, were retrieved from the clinical data warehouse. Cases were admission of elderly patients who subsequently experienced a readmission within 30 days after discharge from the index admission. Controls were admission of elderly patients who were not readmitted to hospital.

RESULTS

Among 670 eligible index admissions, 127 (18.9%) were followed by readmission within 30 days after discharge. After multivariate analysis, men sex (odds ratio [OR] = 2.29, 95% confidence interval [CI] = 1.45-3.61), abnormal concentration of C-reactive protein, and anemia (OR = 2.22, 95% CI = 1.28-3.85; OR = 1.85, 95% CI = 1.11-3.11, respectively) were associated with a higher risk of readmission. Oppositely, having a traumatic injury at index admission decreased this risk (OR = 0.47, 95% CI = 0.28-0.81).

CONCLUSIONS

Reducing early unplanned readmission is crucial, especially in elderly patients susceptible to falls. Our results indicate that the probability of unplanned readmission is higher for patients with specific characteristics that should be taken into consideration in interventions designed to reduce this burden.

The Aging, Community and Health Research Unit Community Partnership Program (ACHRU-CPP) for older adults with diabetes and multiple chronic conditions: study protocol for a randomized controlled trial

BACKGROUND

Older adults (≥65 years) with diabetes and multiple chronic conditions (MCC) (> 2 chronic conditions) experience reduced function and quality of life, increased health service use, and high mortality. Many community-based self-management interventions have been developed for this group, however the evidence for their effectiveness is limited. This paper presents the protocol for a randomized controlled trial (RCT) comparing the effectiveness and implementation of the Aging, Community and Health Research Unit-Community Partnership Program (ACHRU-CPP) to usual care in older adults with diabetes and MCC and their caregivers.

METHODS

We will conduct a cross-jurisdictional, multi-site implementation-effectiveness type II hybrid RCT. Eligibility criteria are: ≥65 years, diabetes diagnosis (Type 1 or 2) and at least one other chronic condition, and enrolled in a primary care or diabetes education program. Participants will be randomly assigned to the intervention (ACHRU-CPP) or control arm (1:1 ratio). The intervention arm consists of home/telephone visits, monthly group wellness sessions, multidisciplinary case conferences, and system navigation support. It will be delivered by registered nurses and registered dietitians/nutritionists from participating primary care or diabetes education programs and program coordinators from community-based organizations. The control arm consists of usual care provided by the primary care setting or diabetes education program. The primary outcome is the change from baseline to 6 months in mental functioning. Secondary outcomes will include, for example, the change from baseline to 6 months in physical functioning, diabetes self-management, depressive symptoms, and cost of use of healthcare services. Analysis of covariance (ANCOVA) models will be used to analyze all outcomes, with intention-to-treat analysis using multiple imputation to address missing data. Descriptive and qualitative data from older adults, caregivers and intervention teams will be used to examine intervention implementation, site-specific adaptations, and scalability potential.

DISCUSSION

An interprofessional intervention supporting self-management may be effective in improving health outcomes and client/caregiver experience and reducing service use and costs in this complex population. This pragmatic trial includes a scalability assessment which considers a range of effectiveness and implementation criteria to inform the future scale-up of the ACHRU-CPP.

TRIAL REGISTRATION

Clinical Trials.gov Identifier NCT03664583 . Registration date: September 10, 2018.

The association between geriatric treatment and 30-day readmission risk among medical inpatients aged ≥75 years with multimorbidity

Background

Readmission to hospital is frequent among older patients and reported as a post-discharge adverse outcome. The effect of treatment in a geriatric ward for acutely admitted older patients on mortality and function is well established, but less is known about the possible influence of such treatment on the risk of readmission, particularly in the oldest and most vulnerable patients. Our aim was to assess the risk for early readmission for multimorbid patients > 75 years treated in a geriatric ward compared to medical wards and to identify risk factors for 30-day readmissions.

Methods

Prospective cohort study of patients acutely admitted to a medical department at a Norwegian regional hospital. Eligible patients were community-dwelling, multimorbid, receiving home care services, and aged 75+. Patients were consecutively included in the period from 1 April to 31 October 2012. Clinical data were retrieved from the referral letter and medical records.

Results

We included 227 patients with a mean (SD) age of 86.0 (5.7) years, 134 (59%) were female and 59 (26%) were readmitted within 30 days after discharge. We found no statistically significant difference in readmission rate between patients treated in a geriatric ward versus other medical wards. In adjusted Cox proportional hazards regression analyses, lower age (hazard ratio (95% confidence interval) 0.95 (0.91–0.99) per year), female gender (2.17 (1.15–4.00)) and higher MMSE score (1.03 (1.00–1.06) per point) were significant risk factors for readmission.

Conclusions

Lower age, female gender and higher cognitive function were the main risk factors for 30-day readmission to hospital among old patients with multimorbidity. We found no impact of geriatric care on the readmission rate.

Hospital readmissions in Internal Medicine Specialty: Frequency, associated factors and outcomes

Objectives:

Hospital readmission has become a focus of national attention as a potential indicator of healthcare quality and has a significant financial impact on healthcare system. Limited data is available regarding readmissions to Internal Medicine specialty from our sub-continent. It is, therefore, essential to determine the frequency and factors leading to readmissions, in order to avoid preventable readmissions and improve quality of healthcare provision.

Methods:

This retrospective study reviewed adult discharges from Internal Medicine specialty between October 2018 and February 2019 at Aga Khan University Hospital. Out of 1,835 discharges, 491 were randomly selected after excluding expiries. The frequency, factors and outcomes of readmission were noted. The studied outcomes included length of stay and in-hospital mortality.

Results:

Out of 491 patients, 15.3% were readmitted within 30-days of their discharge. Most of the readmitted patients were females (56%) and elderly with a mean age 67.1±14.9 years. Majority of the patient who got readmitted had multi-morbidities (68%) and were of functional Class-II (39%).The mean length of stay for index and readmission was between 4-7days. Eighty-percent readmissions were discharged as planned, 13% on request and seven-percent left against medical advice in their index admission. The most common causes of readmission were persistence of symptoms (43%) and nosocomial infection (29%). Avoidable causes included hospital-associated pneumonia, urinary tract infections and septic shock. Mortality in readmitted patients was 12%.

Conclusions:

The causes of readmission is multi-factorial, including advanced age, multi-morbidities, persistence of symptoms and nosocomial infections. Early follow-ups should be advised to prevent avoidable readmissions.

Risk Factors for Hospital Readmission and Death After Discharge of Older Adults from Acute Geriatric Units: Taking the Rank of Admission into Account

Objective

To analyze the impact of the number of hospital readmissions on the risks of further hospital readmission and death after adjustment for a range of risk factors.

Methods

We performed a multicentre prospective study of the DAMAGE cohort in the Hauts-de-France region of France. Patients aged 75 and over hospitalized initially in an acute geriatric unit (AGU) were included and followed up for 12 months. The risk of hospital readmission was analyzed using a Cox model, and its extension for recurrent events and the risk of death were analyzed using a Cox model for time-dependent variables.

Results

A total of 3081 patients were included (mean (SD) age: 86.4 (5.5)). In the multivariate analysis, the relative risk (95% confidence interval [CI]) of hospital readmission rose progressively to 2.66 (1.44; 5.14), and the risk of death rose to 2.01 (1.23; 3.32) after five hospital admissions, relative to a patient with no hospital readmissions. The number of hospital readmissions during the follow-up period was the primary risk factor and the best predictor of the risk of hospital readmission and the risk of death.

Conclusion

Hospital readmission is the primary risk factor for further hospital readmissions and for death in older subjects discharged from an AGU.

Patient Characteristics and Outcomes of Type 2 Myocardial Infarction During Heart Failure Hospitalizations in the United States

BACKGROUND

Type 2 myocardial infarction (MI) is increasingly diagnosed in patients with heart failure (HF). A paucity of data exists pertinent to the contemporary prevalence and impact of type 2 MI in patients with HF. We studied the patient profiles and the prognostic impact of type 2 MI on outcomes of HF hospitalizations.

METHODS

The Nationwide Readmission Database 2018 was queried for patients with HF hospitalizations with and without type 2 MI. Baseline characteristics, inpatient outcomes, and 30-day all-cause readmissions between both cohorts were compared.

RESULTS

Of 1,072,674 primary HF hospitalizations included in the study, 28,813 (2.7%) had type 2 MI. Patients with type 2 MI were more likely to be males (56.5% vs 51.6%; P < .001) and had a higher prevalence of hypertension (94% vs 92.2%; P < .001), prior myocardial infarction (17.1% vs 14.9%; P < .001), anemia (9.1% vs 8.1%; P < .001), chronic kidney disease (55.7% vs 49.4%; P < .001), neurological disorders (9.4% vs 7.3%; P < .001), and weight loss (7.3% vs 5.6%; P < .001). Compared with their counterparts without type 2 MI, patients with HF with type 2 MI had significantly higher in-hospital mortality (adjusted odds ratio [aOR], 1.53; 95% confidence interval [CI], 1.37-1.72), hospital costs (adjusted parameter estimate, $1785; 95% CI, 1388-2182), discharge to nursing facility (aOR, 1.22; 95% CI, 1.15-1.29), longer length of stay (adjusted parameter estimate, 0.53; 95% CI, 0.42-0.64), and rate of 30-day all-cause readmissions (aOR, 1.06; 95% CI, 1.01-1.12).

CONCLUSION

Type 2 MI in patients hospitalized with HF is associated with higher mortality and resource utilization in the United States.

Prediction of Readmission in Geriatric Patients From Clinical Notes: Retrospective Text Mining Study

Background

Prior literature suggests that psychosocial factors adversely impact health and health care utilization outcomes. However, psychosocial factors are typically not captured by the structured data in electronic medical records (EMRs) but are rather recorded as free text in different types of clinical notes.

Objective

We here propose a text-mining approach to analyze EMRs to identify older adults with key psychosocial factors that predict adverse health care utilization outcomes, measured by 30-day readmission. The psychological factors were appended to the LACE (Length of stay, Acuity of the admission, Comorbidity of the patient, and Emergency department use) Index for Readmission to improve the prediction of readmission risk.

Methods

We performed a retrospective analysis using EMR notes of 43,216 hospitalization encounters in a hospital from January 1, 2017 to February 28, 2019. The mean age of the cohort was 67.51 years (SD 15.87), the mean length of stay was 5.57 days (SD 10.41), and the mean intensive care unit stay was 5% (SD 22%). We employed text-mining techniques to extract psychosocial topics that are representative of these patients and tested the utility of these topics in predicting 30-day hospital readmission beyond the predictive value of the LACE Index for Readmission.

Results

The added text-mined factors improved the area under the receiver operating characteristic curve of the readmission prediction by 8.46% for geriatric patients, 6.99% for the general hospital population, and 6.64% for frequent admitters. Medical social workers and case managers captured more of the psychosocial text topics than physicians.

Conclusions

The results of this study demonstrate the feasibility of extracting psychosocial factors from EMR clinical notes and the value of these notes in improving readmission risk prediction. Psychosocial profiles of patients can be curated and quantified from text mining clinical notes and these profiles can be successfully applied to artificial intelligence models to improve readmission risk prediction.

Predicting unplanned hospital visits in older home care recipients: a cross-country external validation study

Background

Accurate identification of older persons at risk of unplanned hospital visits can facilitate preventive interventions. Several risk scores have been developed to identify older adults at risk of unplanned hospital visits. It is unclear whether risk scores developed in one country, perform as well in another. This study validates seven risk scores to predict unplanned hospital admissions and emergency department (ED) visits in older home care recipients from six countries.

Methods

We used the IBenC sample (n = 2446), a cohort of older home care recipients from six countries (Belgium, Finland, Germany, Iceland, Italy and The Netherlands) to validate four specific risk scores (DIVERT, CARS, EARLI and previous acute admissions) and three frailty indicators (CHESS, Fried Frailty Criteria and Frailty Index). Outcome measures were unplanned hospital admissions, ED visits or any unplanned hospital visits after 6 months. Missing data were handled by multiple imputation. Performance was determined by assessing calibration and discrimination (area under receiver operating characteristic curve (AUC)).

Results

Risk score performance varied across countries. In Iceland, for any unplanned hospital visits DIVERT and CARS reached a fair predictive value (AUC 0.74 [0.68–0.80] and AUC 0.74 [0.67–0.80]), respectively). In Finland, DIVERT had fair performance predicting ED visits (AUC 0.72 [0.67–0.77]) and any unplanned hospital visits (AUC 0.73 [0.67–0.77]). In other countries, AUCs did not exceed 0.70.

Conclusions

Geographical validation of risk scores predicting unplanned hospital visits in home care recipients showed substantial variations of poor to fair performance across countries. Unplanned hospital visits seem considerably dependent on healthcare context. Therefore, risk scores should be validated regionally before applied to practice. Future studies should focus on identification of more discriminative predictors in order to develop more accurate risk scores.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02521-2.

Predictive modelling of hospital readmission: Evaluation of different preprocessing techniques on machine learning classifiers

Hospital readmission is a major cost for healthcare systems worldwide. If patients with a higher potential of readmission could be identified at the start, existing resources could be used more efficiently, and appropriate plans could be implemented to reduce the risk of readmission. Therefore, it is important to predict the right target patients. Medical data is usually noisy, incomplete, and inconsistent. Hence, before developing a prediction model, it is crucial to efficiently set up the predictive model so that improved predictive performance is achieved. The current study aims to analyse the impact of different preprocessing methods on the performance of different machine learning classifiers. The preprocessing applied by previous hospital readmission studies were compared, and the most common approaches highlighted such as missing value imputation, feature selection, data balancing, and feature scaling. The hyperparameters were selected using Bayesian optimisation. The different preprocessing pipelines were assessed using various performance metrics and computational costs. The results indicated that the preprocessing approaches helped improve the model’s prediction of hospital readmission.

Hospitalization Trajectories in Home- and Community-Based Services Recipients: The Influence of Physician and Social Care Density

OBJECTIVES

Repeated hospitalizations among older adults receiving Home- and Community-Based Services (HCBS) may indicate unmet medical and social needs. This study examined all-cause hospitalization trajectories and the association between area-level resource density for medical and social care and the trajectory group membership.

METHODS

The study participants included 11,223 adults aged 60 years or older who were enrolled in public HCBS programs in Michigan between 2008 and 2012. Data sources included the Michigan interRAI-Home Care, Dartmouth Atlas of Health Care Data, the American Community Survey, and the County Business Patterns from the Census Bureau. The group-based trajectory modeling was used to identify trajectories of hospitalization over 15 months. Correlates of the trajectories were examined using multinomial logistic regression.

RESULTS

Four distinct hospitalization trajectory groups emerged: "never" (43.1%)-individuals who were rarely hospitalized during the study period, "increasing" (19.9%)-individuals who experienced an increased risk of hospitalization, "decreasing" (21.6%)-individuals with a decreased risk, and "frequent" (15.8%)-individuals with frequent hospitalizations. Older adults living in areas with a higher number of social service organizations for older adults and persons with disability were less likely to be on the "frequent" trajectory relative to the "decreasing" trajectory. The density of primary care physicians was not associated with the trajectory group membership.

DISCUSSION

Area-level social care resource density contributes to changes in 15-month hospitalization risks among older adult recipients of HCBS.

Hyperglycemia at admission, comorbidities, and in-hospital mortality in elderly patients hospitalized in internal medicine wards: data from the RePoSI Registry

AIMS

The association between hyperglycemia at hospital admission and relevant short- and long-term outcomes in elderly population is known. We assessed the effects on mortality of hyperglycemia, disability, and multimorbidity at admission in internal medicine ward in patients aged ≥ 65 years.

METHODS

Data were collected from an active register of 102 internal medicine and geriatric wards in Italy (RePoSi project). Patients were recruited during four index weeks of a year. Socio-demographic data, reason for hospitalization, diagnoses, treatment, severity and comorbidity indexes (Cumulative Illness rating Scale CIRS-SI and CIRS-CI), renal function, functional (Barthel Index), and cognitive status (Short Blessed Test) and mood disorders (Geriatric Depression Scale) were recorded. Mortality rates were assessed in hospital 3 and 12 months after discharge.

RESULTS

Of the 4714 elderly patients hospitalized, 361 had a glycemia level ≥ 250 mg/dL at admission. Compared to subjects with lower glycemia level, patients with glycemia ≥ 250 mg/dL showed higher rates of male sex, smoke and class III obesity. These patients had a significantly lower Barthel Index (p = 0.0249), higher CIRS-SI and CIRS-CI scores (p = 0.0025 and p = 0.0013, respectively), and took more drugs. In-hospital mortality rate was 9.2% and 5.1% in subjects with glycemia ≥ 250 and < 250 mg/dL, respectively (p = 0.0010). Regression analysis showed a strong association between in-hospital death and glycemia ≥ 250 mg/dL (OR 2.07; [95% CI 1.34-3.19]), Barthel Index ≤ 40 (3.28[2.44-4.42]), CIRS-SI (1.87[1.27-2.77]), and male sex (1.54[1.16-2.03]).

CONCLUSIONS

The stronger predictors of in-hospital mortality for older patients admitted in general wards were glycemia level ≥ 250 mg/dL, Barthel Index ≤ 40, CIRS-SI, and male sex.

Predicting hospital admissions from individual patient data (IPD): an applied example to explore key elements driving external validity

OBJECTIVE

To explore factors that potentially impact external validation performance while developing and validating a prognostic model for hospital admissions (HAs) in complex older general practice patients.

STUDY DESIGN AND SETTING

Using individual participant data from four cluster-randomised trials conducted in the Netherlands and Germany, we used logistic regression to develop a prognostic model to predict all-cause HAs within a 6-month follow-up period. A stratified intercept was used to account for heterogeneity in baseline risk between the studies. The model was validated both internally and by using internal-external cross-validation (IECV).

RESULTS

Prior HAs, physical components of the health-related quality of life comorbidity index, and medication-related variables were used in the final model. While achieving moderate discriminatory performance, internal bootstrap validation revealed a pronounced risk of overfitting. The results of the IECV, in which calibration was highly variable even after accounting for between-study heterogeneity, agreed with this finding. Heterogeneity was equally reflected in differing baseline risk, predictor effects and absolute risk predictions.

CONCLUSIONS

Predictor effect heterogeneity and differing baseline risk can explain the limited external performance of HA prediction models. With such drivers known, model adjustments in external validation settings (eg, intercept recalibration, complete updating) can be applied more purposefully.

TRIAL REGISTRATION NUMBER

PROSPERO id: CRD42018088129.

GDS score as screening tool to assess the risk of impact of chronic conditions and depression on quality of life in hospitalized elderly patients in internal medicine wards

Aging of population is characterized by multiple chronic conditions in the same individual. Health-related quality of life (HR-QOL) reflects the multidimensional impact of chronic disease on population and it is increasingly analysed as outcomes.The aim of this study was the evaluation of the predictors of quality of life among elderly patients hospitalized in internal medicine ward, investigating the effect of comorbidities on health-related quality of life.Data collected in this cross-sectional study were analysed. Socio-demographic, clinical characteristics, disease distribution and quality of life by the 12-Item Short Form Health Survey (SF-12) were evaluated.Of 240 inpatients, subjects with Barthel Index (BI)≤40 were 23.7%, 55% had a Geriatric Depression Scale (GDS)≥2. After categorizing mental component score (MCS) and physical component score (PCS) in five classes, we found that diabetics and patients with cancer were more frequent in the first class of MCS while patients with NYHA III-IV are significantly more frequent in the first class of PCS. When we classified patients according to GDS≥2 or < 2, subjects with GDS≥2 had BI and MCS significantly lower. In the multivariate analysis GDS score ≥2 was independently associated with first MCS class [16.32 (3.77-70.68)] while NYHA III-IV class and claudicatio intermittents were strong predictors of the worst PCS class [9.54 (1.97-47.40), 2.53 (1.16-5.49), respectively]. Liver disease was independently associated with GDS≥2 [5.26 (1.13-24.39)].Our study highlighted the impact of chronic diseases on health-related quality of life in elderly subjects hospitalized in an internal medicine ward pointing out the importance of taking into account patient's needs and perception and the setting up of a personalised health-care. Patients with diabetes and liver disease along with persons affected by cancer need psychological support to improve their quality of life. A GDS score ≥ 2 is a strong predictor of poor quality of life and should trigger an in-depth assessment of mental health in this kind of patients.

Effect of number of medications and complexity of regimens on medication adherence and blood pressure management in hospitalized patients with hypertension

INTRODUCTION

Good adherence of antihypertensives is recommended for the accomplishment of hypertension therapy. The number of medications and characteristics contributing to medication regimen complexity, such as dosage forms and dosing frequency, are known to influence medication adherence. However, the effect of medication regimen complexity on the therapeutic efficacy of medicines remains to be clarified. In the present study, we retrospectively investigated the effect of number of medications and medication regimen complexity on medication adherence and therapeutic efficacy in patients with hypertension.

METHODS

According to the inclusion and exclusion criteria, 1,057 patients, who were on medications including antihypertensives on admission at the Mie University Hospital between July 2018 and December 2018, were enrolled in this study. Poor blood pressure management was defined if the systolic or diastolic blood pressure were ≥140 mmHg or ≥ 90 mmHg. Medication regimen complexity was quantified using the medication regimen complexity index (MRCI) score.

RESULTS

Among 1,057 patients, 164 and 893 patients were categorized into poor and good adherence groups, respectively. The multivariate analyses revealed that age ≥ 71 years and oral MRCI score ≥ 19.5 but not number of oral medications were extracted as risk factors for poor medication adherence. Medication adherence and blood pressure management were poor in the group with oral MRCI score ≥ 19.5, regardless of the age. The rate of readmission was similar.

CONCLUSION

Our study is the first to demonstrate that medication regimen complexity rather than number of medications is closely related to medication adherence and blood pressure management. Hence, physicians and/or pharmacists should consider the complexity of medication regimens while modifying them.

Emergency room evaluation and recommendations for older emergency department users: results of the ER2 experimental study

PURPOSE

The study aims to examine whether the use of "emergency room evaluation and recommendations" (ER²) tool in daily ED practice reduces the length of stay in ED and hospital, and hospital admission in older patients visiting ED on stretcher.

METHODS

A total of 3931 older patients visiting ED of the Jewish General Hospital (Montreal, Quebec, Canada) on stretcher were recruited in this non-randomized, pre-post intervention, single arm, prospective and longitudinal open-label trial. ED staff and patients were blinded of the ER² score and patients received usual ED care over the observational phase, whereas ED staff were informed about the ER² score and patients had usual care plus interventions based on tailor-made geriatric recommendations during the interventional phase. The length of stay in ED and in hospital, and hospital admission were the outcomes.

RESULTS

The ER² recommendations were associated with increased length of stay in ED (β = 2.94 with P ≤ 0.001) and decreased length of stay in hospital (β = - 2.07 with P = 0.011). No effect was found for hospital admission (Odd Ratio (OR) = 0.92 with P = 0.182).

CONCLUSION

Emergency room evaluation and recommendations (ER²) tool had mixed effects. Shorter hospital stay has been reported for older ED users hospitalized, but increased ED stay and no effects on hospital admission were found.

Malnutrition and depression as predictors for 30-day unplanned readmission in older patient: a prospective cohort study to develop 7-point scoring system

BACKGROUND

Readmission is related to high cost, high burden, and high risk for mortality in geriatric patients. A scoring system can be developed to predict the readmission of older inpatients to perform earlier interventions and prevent readmission.

METHODS

We followed prospectively inpatients aged 60 years and older for 30 days, with initial comprehensive geriatric assessment (CGA) on admission in a tertiary referral centre. Patients were assessed with CGA tools consisting of FRAIL scale (fatigue, resistance, ambulation, illness, loss of weight), the 15-item Geriatric Depression Scale, Mini Nutritional Assessment short-form (MNA-SF), the Barthel index for activities of daily living (ADL), Charlson Comorbidity Index (CCI), caregiver burden based on 4-item Zarit Burden Index (ZBI), and cognitive problem with Abbreviated Mental Test (AMT). Demographic data, malignancy diagnosis, and number of drugs were also recorded. We excluded data of deceased patients and patients transferred to other hospitals. We conducted stepwise multivariate regression analysis to develop the scoring system.

RESULTS

Thirty-day unplanned readmission rate was 37.6 %. Among 266 patients, 64.7 % of them were malnourished, and 46.5 % of them were readmitted. About 24 % were at risk for depression or having depressed mood, and 53.1 % of them were readmitted. In multivariate analysis, nutritional status (OR 2.152, 95 %CI 1.151-4.024), depression status (OR 1.884, 95 %CI 1.071-3.314), malignancy (OR 1.863 95 %CI 1.005-3.451), and functional status (OR 1.584, 95 %CI 0.885-2.835) were included in derivation of 7 score system. The scoring system had maximum score of 7 and incorporated malnutrition (2 points), depression (2 points), malignancy (2 points), and dependent functional status (1 point). A score of 3 or higher suggested 82 % probability of readmission within 30 days following discharge. Area under the curve (AUC) was 0.694 (p = 0.001).

CONCLUSIONS

Malnutrition, depression, malignancy and functional problem are predictors for 30-day readmission. A practical CGA-based 7 scoring system had moderate accuracy and strong calibration in predicting 30-day unplanned readmission for older patients.

Clinical decision-making in older adults following emergency admission to hospital. Derivation and validation of a risk stratification score: OPERA

OBJECTIVES OF THE STUDY

Demographic changes alongside medical advances have resulted in older adults accounting for an increasing proportion of emergency hospital admissions. Current measures of illness severity, limited to physiological parameters, have shortcomings in this cohort, partly due to patient complexity. This study aimed to derive and validate a risk score for acutely unwell older adults which may enhance risk stratification and support clinical decision-making.

METHODS

Data was collected from emergency admissions in patients ≥65 years from two UK general hospitals (April 2017- April 2018). Variables underwent regression analysis for in-hospital mortality and independent predictors were used to create a risk score. Performance was assessed on external validation. Secondary outcomes included seven-day mortality and extended hospital stay.

RESULTS

Derivation (n = 8,974) and validation (n = 8,391) cohorts were analysed. The model included the National Early Warning Score 2 (NEWS2), clinical frailty scale (CFS), acute kidney injury, age, sex, and Malnutrition Universal Screening Tool. For mortality, area under the curve for the model was 0.79 (95% CI 0.78-0.80), superior to NEWS2 0.65 (0.62-0.67) and CFS 0.76 (0.74-0.77) (P<0.0001). Risk groups predicted prolonged hospital stay: the highest risk group had an odds ratio of 9.7 (5.8-16.1) to stay >30 days.

CONCLUSIONS

Our simple validated model (Older Persons' Emergency Risk Assessment [OPERA] score) predicts in-hospital mortality and prolonged length of stay and could be easily integrated into electronic hospital systems, enabling automatic digital generation of risk stratification within hours of admission. Future studies may validate the OPERA score in external populations and consider an impact analysis.

Pattern of comorbidities and 1-year mortality in elderly patients with COPD hospitalized in internal medicine wards: data from the RePoSI Registry

Currently, chronic obstructive pulmonary disease (COPD) represents the fourth cause of death worldwide with significant economic burden. Comorbidities increase in number and severity with age and are identified as important determinants that influence the prognosis. In this observational study, we retrospectively analyzed data collected from the RePoSI register. We aimed to investigate comorbidities and outcomes in a cohort of hospitalized elderly patients with the clinical diagnosis of COPD. Socio-demographic, clinical characteristics and laboratory findings were considered. The association between variables and in-hospital, 3-month and 1-year follow-up were analyzed. Among 4696 in-patients, 932 (19.8%) had a diagnosis of COPD. Patients with COPD had more hospitalization, a significant overt cognitive impairment, a clinically significant disability and more depression in comparison with non-COPD subjects. COPD patients took more drugs, both at admission, in-hospital stay, discharge and 3-month and 1-year follow-up. 14 comorbidities were more frequent in COPD patients. Cerebrovascular disease was an independent predictor of in-hospital mortality. At 3-month follow-up, male sex and hepatic cirrhosis were independently associated with mortality. ICS-LABA therapy was predictor of mortality at in-hospital, 3-month and 1-year follow-up. This analysis showed the severity of impact of COPD and its comorbidities in the real life of internal medicine and geriatric wards.

Early Screening of Risk for Multidrug-Resistant Organisms in the Emergency Department in Patients With Pneumonia and Early Septic Shock: Single-Center, Retrospective Cohort Study

OBJECTIVES

Pneumonia is the fourth leading cause of death globally, with rapid progression during sepsis. Multidrug-resistant organisms (MDROs) are becoming more common with some healthcare-associated pneumonia events. Early detection of MDRO risk improves the outcomes; however, MDROs risk in pneumonia with sepsis is unknown. This study investigated the disease outcomes of pneumonia with septic shock in patients admitted in the emergency department (ED) intensive care unit (ICU), a population with a high prevalence of MDROs, after early screening of MDROs risk.

METHODS

In this retrospective cohort study, patients with pneumonia and early septic shock (n = 533) admitted to the ED at the Taipei Tzu Chi Hospital from 2013 to 2019 were selected. The study population was divided into four subgroups after the MDROs risk and screening procedure were completed within 1 or 6 h of admission. ICU mortality and multidrug antibiotic therapy were compared.

RESULTS

The high-risk MDROs groups had higher percentage of P aeruginosa than the low-risk group. Furthermore, the appropriate ED first antibiotics were higher in the 1-h subgroup than in the 6-h subgroup of the high-risk MDROs group. In multivariate analysis, the 6-h high-risk MDROs group had an adjusted odds ratio of 7.191 (95% CI: 2.911-17.767, P < 0.001) and 2.917 (95% CI: 1.456-5.847, P = 0.003) for ICU mortality and multidrug therapy in the ICU, respectively, after adjusting for other confounding factors.

CONCLUSIONS

MDRO screening within 1 h is recommended following admission of patients with pneumonia and early septic shock in the ED, especially in areas with a high prevalence of MDROs.

Prognosis tools for short-term adverse events in older emergency department users: result of a Québec observational prospective cohort

Background

The “Program of Research on the Integration of Services for the Maintenance of Autonomy” (PRISMA-7) and “Emergency room evaluation and recommendations” (ER²) are both clinical tools used in Québec Emergency Departments (EDs) for screening of older ED users at higher risk of poor outcomes, such as prolonged length of stay (LOS) in EDs and in hospital. The study aimed to: 1) examine whether the PRISMA-7 and ER² risk levels were associated with length of stays in ED and hospital, as well as hospital admission; and 2) compare the criteria performance (i.e., sensitivity, specificity, positive predictive value, negative predictive value, likelihood ratios and area under receiver operating characteristic curve) of the PRISMA-7 and ER2 high-risk levels for these three ED adverse events in Québec older patients visiting ED on a stretcher.

Methods

A total of 1905 older patients who visited the ED of the Jewish General Hospital (Montreal, Québec, Canada) on stretchers were recruited in this prospective observational cohort. Upon their ED arrival, PRISMA-7 and ER² were performed. The outcomes were LOS in ED and in hospital, and hospital admission.

Results

The PRISMA-7 and ER² risk levels were associated with length of stay in ED and hospital as well as with hospital admission. Prolonged stays and higher hospitalization rates were associated with high-risk levels, whereas those in low-risk level groups had significantly shorter LOS and a lower rate of hospital admission (P < 0.006). While performance measures were poor for both assessment tools, ER² had a greater prognostic testing accuracy compared with PRISMA-7.

Conclusion

PRISMA-7 and ER² were both associated with incidental short-term ED adverse events but their overall prognostic testing accuracy was low, suggesting that they cannot be used as prognostic tools for this purpose.

Importance of previous hospital stays on the risk of hospital re-admission in older adults: a real-life analysis of the PAERPA study population

BACKGROUND

consideration of the first hospital re-admission only and failure to take account of previous hospital stays, which are the two significant limitations when studying risk factors for hospital re-admission. The objective of the study was to use appropriate statistical models to analyse the impact of previous hospital stays on the risk of hospital re-admission among older patients.

METHODS

an exhaustive analysis of hospital discharge and health insurance data for a cohort of patients participating in the PAERPA ('Care Pathways for Elderly People at Risk of Loss of Personal Independence') project in the Hauts de France region of France. All patients aged 75 or over were included. All data on hospital re-admissions via the emergency department were extracted. The risk of unplanned hospital re-admission was estimated by applying a semiparametric frailty model, the risk of death by applying a time-dependent semiparametric Cox regression model.

RESULTS

a total of 24,500 patients (median [interquartile range] age: 81 [77-85]) were included between 1 January 2015 and 31 December 2017. In a multivariate analysis, the relative risk (95% confidence interval [CI]) of hospital re-admission rose progressively from 1.8 (1.7-1.9) after one previous hospital stay to 3.0 (2.6-3.5) after five previous hospital stays. The relative risk [95%CI] of death rose slowly from 1.1 (1.07-1.11) after one previous hospital stay to 1.3 (1.1-1.5) after five previous hospital stays.

CONCLUSION

analyses of the risk of hospital re-admission in older adults must take account of the number of previous hospital stays. The risk of death should also be analysed.

Development and internal validation of prognostic models to predict negative health outcomes in older patients with multimorbidity and polypharmacy in general practice

BACKGROUND

Polypharmacy interventions are resource-intensive and should be targeted to those at risk of negative health outcomes. Our aim was to develop and internally validate prognostic models to predict health-related quality of life (HRQoL) and the combined outcome of falls, hospitalisation, institutionalisation and nursing care needs, in older patients with multimorbidity and polypharmacy in general practices.

METHODS

Design: two independent data sets, one comprising health insurance claims data (n=592 456), the other data from the PRIoritising MUltimedication in Multimorbidity (PRIMUM) cluster randomised controlled trial (n=502). Population: ≥60 years, ≥5 drugs, ≥3 chronic diseases, excluding dementia. Outcomes: combined outcome of falls, hospitalisation, institutionalisation and nursing care needs (after 6, 9 and 24 months) (claims data); and HRQoL (after 6 and 9 months) (trial data). Predictor variables in both data sets: age, sex, morbidity-related variables (disease count), medication-related variables (European Union-Potentially Inappropriate Medication list (EU-PIM list)) and health service utilisation. Predictor variables exclusively in trial data: additional socio-demographics, morbidity-related variables (Cumulative Illness Rating Scale, depression), Medication Appropriateness Index (MAI), lifestyle, functional status and HRQoL (EuroQol EQ-5D-3L). Analysis: mixed regression models, combined with stepwise variable selection, 10-fold cross validation and sensitivity analyses.

RESULTS

Most important predictors of EQ-5D-3L at 6 months in best model (Nagelkerke's R² 0.507) were depressive symptoms (-2.73 (95% CI: -3.56 to -1.91)), MAI (-0.39 (95% CI: -0.7 to -0.08)), baseline EQ-5D-3L (0.55 (95% CI: 0.47 to 0.64)). Models based on claims data and those predicting long-term outcomes based on both data sets produced low R² values. In claims data-based model with highest explanatory power (R²=0.16), previous falls/fall-related injuries, previous hospitalisations, age, number of involved physicians and disease count were most important predictor variables.

CONCLUSIONS

Best trial data-based model predicted HRQoL after 6 months well and included parameters of well-being not found in claims. Performance of claims data-based models and models predicting long-term outcomes was relatively weak. For generalisability, future studies should refit models by considering parameters representing well-being and functional status.

Delivering exceptionally safe transitions of care to older people: a qualitative study of multidisciplinary staff perspectives

BACKGROUND

Transitions of care are often risky, particularly for older people, and shorter hospital stays mean that patients can go home with ongoing care needs. Most previous research has focused on fundamental system flaws, however, care generally goes right far more often than it goes wrong. We explored staff perceptions of how high performing general practice and hospital specialty teams deliver safe transitional care to older people as they transition from hospital to home.

METHODS

We conducted a qualitative study in six general practices and four hospital specialties that demonstrated exceptionally low or reducing readmission rates over time. Data were also collected across four community teams that worked into or with these high-performing teams. In total, 157 multidisciplinary staff participated in semi-structured focus groups or interviews and 9 meetings relating to discharge were observed. A pen portrait approach was used to explore how teams across a variety of different contexts support successful transitions and overcome challenges faced in their daily roles.

RESULTS

Across healthcare contexts, staff perceived three key themes to facilitate safe transitions of care: knowing the patient, knowing each other, and bridging gaps in the system. Transitions appeared to be safest when all three themes were in place. However, staff faced various challenges in doing these three things particularly when crossing boundaries between settings. Due to pressures and constraints, staff generally felt they were only able to attempt to overcome these challenges when delivering care to patients with particularly complex transitional care needs.

CONCLUSIONS

It is hypothesised that exceptionally safe transitions of care may be delivered to patients who have particularly complex health and/or social care needs. In these situations, staff attempt to know the patient, they exploit existing relationships across care settings, and act to bridge gaps in the system. Systematically reinforcing such enablers may improve the delivery of safe transitional care to a wider range of patients.

TRIAL REGISTRATION

The study was registered on the UK Clinical Research Network Study Portfolio (references 35272 and 36174 ).

Effects of anesthetic method on inflammatory response in patients with Parkinson's disease: a randomized controlled study

BACKGROUND

The pathogenesis of Parkinson's disease (PD) involves degeneration of dopaminergic neurons, which is influenced by innate and adaptive immunity. IL-17 is a characteristic cytokine secreted by Th17 cells, which acts as a powerful stimulator of neutrophil migration and infiltration and promotes the secretion of inflammatory cytokines. General anesthesia and surgical stress induce immune and inflammatory responses that activate the immunosuppressive mechanism in the perioperative period. The present study investigated changes in levels of inflammatory cytokines, such as IL-17, IL-1β, and TNF-α, in patients with PD undergoing general anesthesia with inhalational anesthetics or TIVA.

METHODS

Adult patients, aged 40-75 years, scheduled for cerebral stimulator implantation were enrolled. Upon arrival at the operating theater, patients were allocated to the inhalational (I) or TIVA (T) group using block randomization. In group I, anesthesia was induced by tracheal intubation 1-2 min after intravenous administration of propofol (1-2 mg/kg) and rocuronium (0.6-1 mg/kg). Thereafter, anesthesia was maintained with 1-2 vol% sevoflurane, 0.01-0.2 μg/kg/min remifentanil, and O₂/air (FiO₂ 0.4). In group T, propofol (3-6 μg/mL), remifentanil (2-6 ng/mL), and rocuronium (0.6-1 mg/kg) were administered using target controlled infusion (TCI) for induction of anesthesia. Blood samples were obtained preoperatively (T0), 2 h after induction of anesthesia (T1), and 24 h after surgery (T2). IL-17, IL-1β, and TNF-α levels were evaluated by ELISA.

RESULTS

Serum levels of IL-17 were elevated at T2 in group I compared to group T but the difference was not statistically significant. IL-1β tended to be greater in group I compared to group T, but the differences were not significant. TNF-α was slightly higher at all time points in group T and showed a tendency to increase at T2 in both groups, but this was not statistically significant.

CONCLUSIONS

TIVA may be useful for inhibiting neuroinflammation by inhibiting the increase in serum levels of IL-17 24 h after implantation surgery. Serum IL-17 level may be used as a biomarker for PD progression.

TRIAL REGISTRATION

Clinical Research Information Service of Korea National Institute of Health (CRIS) Identification number: KCT0002061 . Registered 25 October 2019 - Retrospectively registered, https://cris.nih.go.kr/cris/search/search_result_st01.jsp?seq=15125.

Predictors of 30-day unplanned hospital readmission among adult patients with diabetes mellitus: a systematic review with meta-analysis

Adult patients with diabetes mellitus (DM) represent one-fifth of all 30-day unplanned hospital readmissions but some may be preventable through continuity of care with better DM self-management. We aim to synthesize evidence concerning the association between 30-day unplanned hospital readmission and patient-related factors, insurance status, treatment and comorbidities in adult patients with DM. We searched full-text English language articles in three electronic databases (MEDLINE, Embase and CINAHL) without confining to a particular publication period or geographical area. Prospective and retrospective cohort and case-control studies which identified significant risk factors of 30-day unplanned hospital readmission were included, while interventional studies were excluded. The study participants were aged ≥18 years with either type 1 or 2 DM. The random effects model was used to quantify the overall effect of each factor. Twenty-three studies published between 1998 and 2018 met the selection criteria and 18 provided information for the meta-analysis. The data were collected within a period ranging from 1 to 15 years. Although patient-related factors such as age, gender and race were identified, comorbidities such as heart failure (OR=1.81, 95% CI 1.67 to 1.96) and renal disease (OR=1.69, 95% CI 1.34 to 2.12), as well as insulin therapy (OR=1.45, 95% CI 1.24 to 1.71) and insurance status (OR=1.41, 95% CI 1.22 to 1.63) were stronger predictors of 30-day unplanned hospital readmission. The findings may be used to target DM self-management education at vulnerable groups based on comorbidities, insurance type, and insulin therapy.

Identifying elderly patients at risk of readmission after discharge from a short-stay unit in the emergency department using performance-based tests of daily activities

Background

Readmission is a serious and adverse event for elderly patients. Despite efforts, predicting the risk of readmission remains imprecise. The objective of this study is to examine if performance-based tests of daily activities can identify elderly patients at risk of readmission within 26 weeks after discharge from a short-stay unit in the emergency department.

Methods

The current study is an observational study based on data from 144 elderly patients included in a previous non-randomised controlled trial. Before discharge, patients were assessed for limitations in performing daily activities using three performance-based tests with predetermined cut-off values: the Assessment of Motor and Process Skills, Timed Up and Go and the 30s-Chair Stand Test. Outcome was risk of readmission within 26 weeks after discharge.

Results

Limitations in performing daily activities were associated with risk of readmission as measured by the Assessment of Motor and Process Skills motor scale (Crude OR = 4.38 [1.36; 14.12]), (Adjusted OR = 4.17 [1.18; 14.75]) and the 30s-Chair Stand Test (Adjusted OR = 3.36 [1.42; 7.93]). No significant associations were found in regards to other measures.

Conclusion

The Assessment of Motor and Process Skills motor scale and the age, gender and comorbidity adjusted 30s-Chair Stand Test can identify elderly patients at increased risk of readmission after discharge from the emergency department. The results were limited by one-third of the patients did not perform the Assessment of Motor and Process Skills and the association between 30s-Chair Stand Test and risk of readmission were only positive when adjusted for age, gender and comorbidity.

Comorbidity does not mean clinical complexity: evidence from the RePoSI register

In the last 2-3 decades internists have confronted dramatic changes in the pattern of patients acutely admitted to hospital wards. Internists observed a shift from younger subjects affected by a single organ disease to more complex patients, usually older, with multiple chronic conditions, attended by different specialists, with poor integration and treated with multiple drugs. In this regard, the concept of complex patients is addressed daily in clinical practice even if there is no agreed definition of patient complexity. To try to evaluate clinical complexity different instruments have been proposed. Among these, the number of comorbidities (NoC) was considered a marker of clinical complexity. However, this instrument would not give information about the clinical relevance of each condition. On the contrary, cumulative illness rating scale (CIRS) addresses the problem calculating both CIRS severity index (CIRS-SI) and CIRS comorbidity index (CIRS-CI). In light of this, 4714 patients from the RePoSI register were retrospectively analyzed to show if CIRS assessment of comorbidity burden is different from the simple count of comorbidities in predicting the length of hospital stay (LOS) and all-cause of mortality in hospitalized elderly patients and if NoC could be a valid tool to measure patient's complexity. CIRS-SI resulted the best predictor of all-cause in-hospital mortality [OR: 2.66 (1.88-3.77)] in comparison with NoC that did not result statistically significant (p = 0.551). CIRS-SI was also the best predictor of all-cause of post-discharge mortality corrected for age and sex [OR: 2.12 (1.53-2.95)]. CIRS-SI (coefficient ± standard error: 1.23 ± 0.59; p < 0.0381) and CIRS-CI (coefficient ± standard error: 0.27 ± 0.10; p < 0.011) were strong predictors of LOS in comparison with NoC that did not result statistically significant (coefficient ± standard error: 0.04 ± 0.06 p < 0.0561). In conclusion, CIRS assessment of comorbidity burden is a better clinical tool in comparison with the simple count of comorbidities especially considering the length of hospital stay and all-cause mortality in hospitalized elderly patients.

Frailty is associated with hospital readmission in geriatric patients: a prognostic study

PURPOSE

Targeting health care interventions requires valid measurements when predicting unplanned hospital readmission. The Multidimensional Prognostic Index (MPI) based on Comprehensive Geriatric Assessment (CGA) enables the prediction of mortality and length of stay (LOS) in older hospitalized patients. Our aim was to validate if the MPI as a frailty tool could predict unplanned hospital readmission in geriatric patients.

METHODS

This prognostic study was conducted in geriatric wards. The target population was 65 + -year-old patients hospitalized with acute illness. The MPI tool is derived from eight CGA domains by an interdisciplinary team: social aspects, number of drugs, activities of daily living (ADL), instrumental-ADL, cognitive status, severity of morbidity, risk of developing pressure sores, and nutritional status. Patients assessed were categorized into three groups: non-frail (MPI-1), moderate frail (MPI-2) or severe frail (MPI-3). Primary outcome was 30-day unplanned readmission and secondary LOS and 90-day mortality.

RESULTS

In total 1467 patients were included from January 1, 2018, to October 1, 2019. Mean age was 84.2 years (± 7.4) and 59% were women. 15.7% were readmitted. Hazard ratio (HR) for readmission in the MPI-2 group (n = 635) was 2.57; 95% confidence interval (CI) 1.25-5.29 (p = 0.01), and 2.60; 95% CI 1.27-5.33 (p = 0.009) in the MPI-3 group (n = 711) compared to the MPI-1 group (n = 121). MPI was a predictor of LOS and mortality.

CONCLUSION

Using the MPI tool to identify the frail and non-frail patients is applicable to predict unplanned hospital readmission in geriatric patients. The MPI is superior to the prognostic value of each single domain. MPI will be of great value to health professionals' decision-making.

Understanding the patient experience of early unplanned hospital readmission following acute care discharge: a qualitative descriptive study

OBJECTIVES

To understand from a patient and carer perspective: (1) what features of the discharge process could be improved to avoid early unplanned hospital readmission (within 72 hours of acute care discharge) and (2) what elements of discharge planning could have enhanced the discharge experience.

DESIGN

A qualitative descriptive design was used. Study data were collected using semi-structured interviews that were transcribed verbatim and analysed using inductive thematic analysis. Data related to participant characteristic were collected by medical record audit and summarised using descriptive statistics.

SETTING

Three acute care hospitals from one health service in Australia.

PARTICIPANTS

Patients who had an early unplanned hospital readmission and/or their carers, if present during the interviews and willing to participate, with patient permission.

FINDINGS

Thirty interviews were conducted (23 patients only; 6 patient and carer dyads; 1 carer only). Five themes were constructed: 'experiences of care', 'hearing and being heard', 'what's wrong with me', 'not just about me' and 'all about going home'. There was considerable variability in patients' and carers' experiences of hospital care, discharge processes and early unplanned hospital readmission. Features of the discharge process that could be improved to potentially avoid early unplanned hospital readmission were better communication, optimal clinical care including ensuring readiness for discharge and shared decision-making regarding discharge timing and goals on returning home. The discharge experience could have been enhanced by improved communication between patients (and carers) and the healthcare team, not rushing the discharge process and a more coordinated approach to patient transport home from hospital.

CONCLUSIONS

The study findings highlight the complexities of the discharge process and the importance of effective communication, shared decision-making and carer engagement in optimising hospital discharge and reducing early unplanned hospital readmissions.

Predictors of hospital readmission among older adults with cancer

OBJECTIVE

Older adults with cancer are at higher risk for costly and potentially dangerous hospital readmissions. Identifying risk factors for readmission in this population is important for future prevention of readmission.

MATERIALS AND METHODS

Hospital discharges among patients ≥ 65 years with solid tumors on non-surgical services from 2006-2011 were reviewed in this matched case-control study. We abstracted patient/cancer characteristics; functional status; fall risk; chemotherapy line; comorbidities; laboratory values; discharge parameters; and miscellaneous information (Do Not Resuscitate Order, pain scores) from medical records. Conditional logistic regression was used for univariate and multivariable analysis.

RESULTS

This analysis included 184 case-patients readmitted within 30 days after discharge from the index admission and 184 sex- and age-matched control-patients discharged from index admission within three months of the cases with no readmission. Cases and controls had no differences in terms of primary cancer type, treatment, and index admission reason. Cases were more likely to have abnormal hemoglobin, albumin, sodium, and SGOT on discharge. Compared to those with ≤1 abnormal laboratory test, patients with 2 or more abnormal test results were 3 times more likely to be readmitted within 30 days.

CONCLUSION

This study demonstrated that older adults with cancer who had at least 2 abnormal laboratory results (hemoglobin, albumin, sodium, and SGOT) at discharge were 3 times more likely to be readmitted within 30 days compared to those with ≤1 abnormal results. These laboratory values may be predictive of the risk of readmission, and should be monitored before discharge to potentially prevent readmission.