How to reduce hospital readmissions in chronic obstructive pulmonary disease?

Preparing safe discharge in a complex practice: A qualitative study of nurses' approach to patients with COPD's hospital discharge from two pulmonary medicinal wards

INTRODUCTION

It remains unclear why 17% of patients with acute exacerbations of chronic obstructive pulmonary disease (COPD) treated in Danish hospitals are readmitted within 30 days. Hospital discharge is multifaceted. However, the preparation process and nurses' efforts may be essential in ensuring a successful discharge.

AIM

To explore the process of preparing discharge for patients with COPD in a hospital setting.

METHOD

Using constructivist grounded theory, we observed 11 nurses' work at two pulmonary medical wards using participant observation. Data collection and analysis were conducted using a constant comparative process encompassing three phases: initial, focused and theoretical.

RESULTS

We identified important perspectives influencing nurses when patients with COPD are discharged from two pulmonary medical wards. We generated a substantial theory of how nurses integrate various perspectives into their handling of hospital discharge. The theory contains three discharge approaches: co-creating, hesitating and socialising. The co-creating approach focuses on patient and relative involvement and systematic task solution, embedded in a biopsychosocial process, aiming to achieve a safe and sustainable discharge. In contrast, the hesitating approach focuses on discharging patients in line with system requirements and colleagues' expectations. Finally, the socialising approach focuses on creating a pleasant discharge experience for patients and colleagues alike.

CONCLUSION

This study illuminates three distinct approaches adopted by nurses when discharging a patient with COPD. The co-creating process encompasses patient involvement and systematic task resolution, incorporating a biopsychosocial process. In contrast, the other approaches are more limited in scope: the hesitating approach aims for harmony and collegial consensus, while the socialising approach focuses on ensuring a pleasant discharge experience for everyone. Nurses should therefore be mindful of the approach they adopt and the values associated with it in order to optimise their management of hospital discharge processes.

Impact of a COPD care bundle on hospital readmission rates

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of mortality worldwide and contributes considerably to morbidity and health care costs. In October 2014, the Centers for Medicare and Medicaid Services introduced financial penalties followed by bundled payments for care improvement initiatives in patients hospitalized with COPD.

OBJECTIVES

This study seeks to evaluate whether an evidence-based interprofessional COPD care bundle focused on inpatient, transitional, and outpatient care would reduce hospital readmission rates.

METHODS

A pre- and postintervention analysis comparing readmission rates after a hospitalization for COPD in subjects who received standard of care versus an interprofessional team-led COPD care bundle was conducted. The primary outcome was 30-day all-cause readmissions; secondary outcomes included 60- and 90-day all-cause readmissions, escalation of pharmacotherapy, interprofessional interventions, and hospital length of stay.

RESULTS

A total of 189 subjects were included in the control arm and 127 subjects in the COPD care bundle arm. A reduction in 30-day all-cause readmissions between the control arm and COPD care bundle arm (21.7% vs. 11.8%, P = 0.017) was seen. Similar outcomes were seen in 60-day (18% vs. 8.7%, P = 0.013) and 90-day all-cause readmissions (19.6% vs. 4.7%, P < 0.001). Pharmacists consulted with 68.5% of subjects and assisted with access to outpatient medications in 45.7% of subjects in the COPD care bundle arm. An escalation in maintenance therapy occurred more often in the COPD care bundle arm (22.2% vs. 44.9%, P < 0.001) than the control arm.

CONCLUSIONS

An interprofessional team-led COPD care bundle resulted in significant reductions in all-cause hospital readmissions at 30, 60, and 90 days.

Hospital Readmission Due to Chronic Obstructive Pulmonary Disease: A Longitudinal Study

BACKGROUND

This study aimed to investigate the prevalence of hospital readmission for chronic obstructive pulmonary disease (COPD) at 30, 90 and 365 days, and to determine demographic and socioeconomic risk factors for 30-day and 90-day readmission and time to COPD-related readmission within 365 days in Tasmania.

METHODS

Patients ≥40 years admitted for COPD between 2011 and 2015 were identified using administrative data from all major public hospitals in Tasmania, Australia. Factors associated with readmission and time to readmission were identified using logistic and Cox regression, respectively.

RESULTS

The rates of COPD-related readmission were 6.7% within 30 days, 12.2% within 90 days and 23.7% within 365 days. Being male (odds ratio [OR]: 1.49, CI: 1.06-2.09), Indigenous (OR: 2.47, CI: 1.31-4.66) and living in the lower socioeconomic North-West region of Tasmania (OR: 1.80, CI: 1.20-2.69) were risk factors for 30-day readmission. Increased COPD-related (OR: 1.48, CI: 1.22-1.80; OR: 1.52, CI: 1.29-1.78) and non-COPD-related (OR: 1.12, CI: 1.03- 1.23; OR: 1.11, CI: 1.03-1.21) emergency department (ED) visits in the preceding six months were risk factors for both 30-day and 90-day readmissions. Being Indigenous (hazard ratio [HR]: 1.61, CI: 1.10-2.37) and previous COPD-related ED visits (HR: 1.30, CI: 1.21-1.39) decreased, while a higher Charlson Comorbidity Index (CCI) (OR: 0.91, CI: 0.83- 0.99) increased the time to readmission within 365 days.

CONCLUSION

Being male, Indigenous, living in the North-West region and previous ED visits were associated with increased risk of COPD readmission in Tasmania. Interventions to improve access to primary healthcare for these groups may reduce COPD-related readmissions.

Social and clinical predictors of short- and long-term readmission after a severe exacerbation of copd

INTRODUCTION AND OBJECTIVES

The aim of this study was to evaluate the predictive ability of multiple social, and clinical factors for readmission after a severe acute exacerbation of COPD (AECOPD) during various time periods.

METHODS

We performed a prospective cohort study in which recruited patients with AECOPD. We systematically collected numerous clinical (symptoms, pulmonary function, comorbidities, and treatment) and social (financial situation, housing situation, family support, caregiver overload, ability to perform activities, and risk of social exclusion) variables using several questionnaires and indices. The patients were followed closely for one year and readmissions at 30, 60, and 365 days were analysed.

RESULTS

253 patients were included, aged 68.9±9.8years, FEV1 = 42.1%±14.2%, and a Charlson's index = 1.8±0.9. Of these patients, 20.2%, 39.6%, and 63.7% were readmitted within the first 30, 90, and 365 days after discharge, respectively. In the multivariate model applied, the variables that were independently associated with readmission over all three periods of the analysis were dependence to perform basic activities of daily living (BADLs) (odds ratio [OR] = 2.10-4.10) and a history of two or more admissions within the previous year (OR = 2.78-3.78). At 90 days, a history of bacterial isolates in a previous sputum culture (OR = 2.39) and at 365 days, a high grade of dyspnoea (OR = 2.51) and obesity (OR = 2.38) were also identified as predictors of hospital readmission.

CONCLUSIONS

The patients' limitation to perform BADLs and their history of admissions for AECOPD were the best predictive variables for the likelihood of readmission when adjusted for many other social and clinical variables, regardless of the time period considered for such prediction.

Risk Factors for Long-term Mortality and Patterns of End-of-Life Care Among Medicare Sepsis Survivors Discharged to Home Health Care

IMPORTANCE

Despite a growing recognition of the increased mortality risk among sepsis survivors, little is known about the patterns of end-of-life care among this population.

OBJECTIVE

To describe patterns of end-of-life care among a national sample of sepsis survivors and identify factors associated with long-term mortality risk and hospice use.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study assessed sepsis survivors who were Medicare fee-for-service beneficiaries discharged to home health care using national Medicare administrative, claims, and home health assessment data from 2013 to 2014. The initial and final primary analyses were conducted in July 2017 and from July to August 2019, respectively.

EXPOSURES

Sepsis hospital discharge and 1 or more home health assessments within 1 week.

MAIN OUTCOMES AND MEASURES

Outcomes were 1-year mortality among all sepsis survivors and hospitalization in the last 30 days of life, death in an acute care hospital, and hospice use among decedents. Multivariate logistic regression was used to identify factors associated with 1-year mortality and hospice use.

RESULTS

Among 87 581 sepsis survivors who were Medicare fee-for-service beneficiaries discharged to home health care, 49 323 (56.3%) were aged 75 years or older, 69 499 (79.4%) were non-Hispanic white, and 48 472 (55.3%) were female. Among the total survivors, 24 423 (27.9%) people died within 1 year of discharge, with a median (interquartile range) survival time of 119 (51-220) days. Among these decedents, 16 684 (68.2%) were hospitalized in the last 30 days of life, 6560 (26.8%) died in an acute care hospital, and 12 573 (51.4%) were enrolled in hospice, with 5729 (45.6%) using hospice for 7 or fewer days. Several factors were associated with 1-year mortality, including a cancer diagnosis (odds ratio [OR], 3.66; 95% CI, 3.50-3.83; P < .001), multiple dependencies of activities of daily living or instrumental activities of daily living (OR, 2.80; 95% CI, 2.57-3.05; P < .001), and an overall poor health status (OR, 2.21; 95% CI, 2.01-2.44; P < .001) documented on home health assessment. Among the decedents, cancer was associated with hospice use (OR, 2.25; 95% CI, 2.11-2.41; P < .001), patients aged 85 years or older (OR, 1.49; 95% CI, 1.37-1.61; P < .001), and living in an assisted living setting (OR, 1.93; 95% CI, 1.69-2.19; P < .001).

CONCLUSIONS AND RELEVANCE

The findings of this study suggest that death within 1 year after sepsis discharge may be common among Medicare beneficiaries discharged to home health care. Although 1 in 2 decedents used hospice, aggressive care near the end of life and late hospice referral were common. Readily identifiable risk factors suggest opportunities to target efforts to improve palliative and end-of-life care among high-risk sepsis survivors.

The '6W' multidimensional model of care trajectories for patients with chronic ambulatory care sensitive conditions and hospital readmissions

OBJECTIVES

To synthesize concepts and approaches related to the analysis of patterns or processes of care and patient's outcomes into a comprehensive model of care trajectories, focusing on hospital readmissions for patients with chronic ambulatory care sensitive conditions (ACSCs).

STUDY DESIGN

Narrative literature review.

METHODS

Published studies between January 2000 and November 2017, using the concepts of 'continuity', 'pathway', 'episode', and 'trajectory', and focused on readmissions and chronic ACSCs, were collected in electronic databases. Qualitative content analysis was performed with emphasis on key constituents to build a comprehensive model.

RESULTS

Specific common constituents are shared by the concepts reviewed: they focus on the patient, aim to measure and improve outcomes, follow specific periods of time and consider other factors related to care providers, care units, care settings, and treatments. Using these common denominators, the comprehensive '6W' multidimensional model of care trajectories was created. Considering patients' attributes and their chronic ACSCs illness course ('who' and 'why' dimensions), this model reflects their patterns of health care use across care providers ('which'), care units ('where'), and treatments ('what'), at specific periods of time ('when').

CONCLUSIONS

The '6W' model of care trajectories could provide valuable information on 'missed opportunities' to reduce readmission rates and improve quality of both ambulatory and inpatient care.

Effectiveness of case management in the prevention of COPD re-admissions: a pilot study

Background

Chronic obstructive pulmonary disease (COPD) exacerbations are associated with high disease burden and costs, especially in the case of hospitalizations. The overall number of hospital admissions due to exacerbations of COPD has increased. It is remarkable that re-admissions account for a substantial part of these hospitalizations. This pilot study investigates the use of case management to reduce re-admissions due to COPD.

Methods

COPD patients with more than one hospitalization per year due to an exacerbation were included. The participants (n = 10) were closely monitored and intensively coached for 20 weeks after hospitalization. The case manager provided care in a person-focused manner. The case manager informed and supported the patient, took action when relapse threatened, coordinated and connected primary and secondary care. Data of 12 months before and after start of the intervention were compared. Primary outcome was the difference in number of hospitalizations. Secondary outcomes were health-related quality of life (measured by the Clinical COPD Questionnaire, CCQ) and dyspnoea (measured by the MRC Dyspnoea Scale).

Results

The incidence rate of hospitalizations was found to be 2.25 times higher (95% confidence interval [CI] 1.3–3.9; P = 0.004) 12 months before compared with 12 months after the start of case management. COPD patients had a mean CCQ score of 3.3 (95% CI 2.8–3.8) before and 2.4 (95% CI 1.9–2.8) after 20 weeks of case management; a difference of 1.0 (95% CI 0.4–1.6; P = 0.001). The mean MRC scores showed no significant differences before (4.3; 95% CI 3.7–4.9) and after the case management period (3.9; 95% CI 3.2–4.6); a difference of 0.4 (95% CI − 0.1 to 0.9; P = 0.114).

Conclusions

This pilot study shows that the number of COPD hospital re-admissions decreased significantly after the introduction of a case manager. Moreover, there was an improvement in patient-reported health-related quality of life.

Electronic supplementary material

The online version of this article (10.1186/s13104-017-2946-5) contains supplementary material, which is available to authorized users.

Predictors of 30-day hospital readmission after hip fracture: a systematic review

BACKGROUND

Early readmission to hospital after hip fracture is associated with increased mortality and significant costs to the healthcare system. There is growing interest in the use of 30-day readmission rates as a metric of hospital performance. Identifying patients at increased risk of readmission after hip fracture may enable pre-emptive action to mitigate this risk and the development of effective methods of risk-adjustment to allow readmission to be used as a reliable measure of hospital performance.

METHODS

We conducted a systematic review of bibliographic databases and reference lists up to July 2016 to identify primary research papers assessing the effect of patient- and hospital-related risk factors for 30-day readmission to hospital after hip fracture.

RESULTS

495 papers were found through electronic and reference search. 65 full papers were assessed for eligibility. 22 met inclusion criteria and were included in the final review. Medical causes of readmission were significantly more common than surgical causes, with pneumonia consistently being cited as the most common readmission diagnosis. Age, pre-existing pulmonary disease and neurological disorders were strong independent predictors of readmission. ASA grade and functional status were more robust predictors of readmission than the Charlson score or individual co-morbidities. Hospital-related risk factors including initial length of stay, hospital size and volume, time to surgery and type of anaesthesia did not have a consistent effect on readmission risk. Discharge location and the strength of hospital-discharge facility linkage were important determinants of risk.

CONCLUSIONS

Patient-related risk factors such as age, co-morbidities and functional status are stronger predictors of 30-day readmission risk after hip fracture than hospital-related factors. Rates of 30-day readmission may not be a valid reflection of hospital performance unless a clear distinction can be made between modifiable and non-modifiable risk factors. We identify a number of deficiencies in the existing literature and highlight key areas for future research.