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Protocol-Driven Allied Health Post-Discharge Transition Clinic to Reduce Hospital Readmissions in Heart Failure.

ABSTRACT: Heart failure (HF) patients have high rates of hospitalization and rehospitalization.A protocol-driven clinic staffed by an allied health care team was designed for patients discharged from the hospital with a diagnosis of congestive HF. The clinic provided follow-up visits 1 week and 4 to 6 weeks after hospital discharge. One-hundred and fourteen patients were observed at least 1 time, and 80% of these patients completed the 2-visit protocol. Clinical evaluations were provided by a nurse practitioner specializing in HF and a clinical pharmacist; these evaluations included physical examination, laboratory evaluation, medical education and reconciliation, medication adjustment and titration, and care coordination. Referrals to home health and appropriate services were provided. At visit 1, 25% of patients were hypervolemic and 13% were hypovolemic. At visit 2, 20% were hypervolemic and 13% were hypovolemic. Medicine reconciliation errors were common, with an average of 2.1 and 0.8 errors per person recorded for visits 1 and 2, respectively. Clinic participants showed a 44.3% reduction in 30-day readmission rates, as compared to the hospital's average 30-day readmission rates.Protocol-driven postdischarge transition care delivered by allied health staff addressed multiple transition issues and was associated with a dramatic reduction in readmission rates.

SUBMITTER: Donaho EK

PROVIDER: S-EPMC4845270 | biostudies-other | 2015 Dec

REPOSITORIES: biostudies-other

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Project description:Importance:Previous research suggests the important role of timely primary care follow-up in reducing hospital readmissions, although effectiveness varies by program design and patients' readmission risk level. Objective:To evaluate the outcomes of the 7-Day Pledge program to reduce readmissions by increasing access to timely primary care appointments after hospitalization. Design, Setting, and Participants:Retrospective cohort study of hospital readmissions among Medicaid patients 18 years or older hospitalized from January 1, 2014, to April 30, 2016, in Camden, New Jersey. To assess each patient's hospital use before and after hospital discharge, all-payer claims data from 4 health care systems were linked to insurers' lists of patients assigned to Camden-based primary care practices. A total of 1531 records were categorized by timing of a primary care appointment after discharge. Discharges followed by a primary care appointment within 7 days (treatment group) were matched by propensity scores to those with less timely or no primary care follow-up (nontreatment pool). Interventions:Targeted patient enrollment during hospital admission, primary care practice engagement, patient incentives to overcome barriers to keeping an appointment, and reimbursements to practices for prioritizing patients recently discharged from the hospital. Main Outcomes and Measures:The primary outcome was the number of hospital discharges followed by a readmission within 30 days. The secondary outcome was the number of hospital discharges followed by a readmission within 90 days. Results:There were 2580 hospitalizations of patients 18 years and older included on the patient lists from January 1, 2014, to April 30, 2016. Of these, 1531 records categorized by timing of a primary care appointment after discharge were studied. The treatment group consisted of 450 discharged patients (mean [SD] age, 48.7 [14.7] years; 289 [64.2%] female; 203 [45.1%] black, non-Hispanic). The nontreatment pool consisted of 1081 discharged patients (mean [SD] age, 48.1 [14.9] years; 599 [55.4%] female; 526 [48.7%] black, non-Hispanic). Among this cohort, the number of discharges followed by any readmission was lower for patients with a primary care visit within 7 days of hospital discharge than for their matched referents at 30 days (57 of 450 [12.7%] vs 78.8 of 450 [17.5%]; P?=?.03) and 90 days (126 of 450 [28.0%] vs 174 of 450 [38.7%]; P?=?.002) after discharge. Conclusions and Relevance:Facilitated receipt of primary care follow-up within 7 days of hospital discharge was associated with fewer Medicaid readmissions. The findings illuminate the importance of reducing barriers that patients and providers face during care transitions.

Project description:ObjectiveTo understand what patterns of health care use are associated with higher post-hospitalization spending.Data sourcesMedicare hospital, skilled nursing, inpatient rehabilitation, and home health agency claims, and Medicare enrollment data from 2007 and 2008.Study designFor 10 common inpatient conditions, we calculated variation across hospitals in price-standardized and case mix-adjusted Medicare spending in the 30 days following hospital discharge. We estimated the fraction of spending differences between low- and high-spending hospitals attributable to readmissions versus post-acute care, and within post-acute care between inpatient rehabilitation facility (IRF) versus skilled nursing facility (SNF) use. For each service, we distinguished between differences in probability of use and spending conditional on use.Data extraction methodsWe identified index hospital claims and examined hospital and post-acute care occurring within a 30-day period following hospital discharge. For each Medicare Severity Diagnosis-Related Group (MS-DRG) at each hospital, we calculated average price-standardized Medicare payments for readmissions, SNFs, IRFs, and post-acute care overall (also including home health agencies and long-term care hospitals).Principal findingsThere was extensive variation across hospitals in Medicare spending in the 30 days following hospital discharge. For example, the interquartile range across hospitals ranged from $1,245 for chronic obstructive pulmonary disease to over $4,000 for myocardial infarction MS-DRGs. The proportion of differences attributable to readmissions versus post-acute care differed across conditions. For myocardial infarction, 74 to 93 percent of the variation was due to readmissions. For hip and femur procedures and joint replacement, 72 to 92 percent of the variation was due to differences in post-acute care spending. There was also variation in the relative importance of the type of post-acute spending. For hip and femur procedures, joint replacement, and stroke, whether patients received IRF was the key driver of variation in post-acute care spending In contrast, for pneumonia and heart failure, whether patients received SNF care was the key driver of variation in post-acute spending.ConclusionsThrough initiatives such as bundled payment, hospitals are financially responsible for spending in the post-hospitalization period. The key driver of variation in post-hospitalization spending varied greatly across conditions. For some conditions, the key driver was having a readmission, for others it was whether patients receive any post-acute care, and for others the key driver was the type of post-acute care. These findings may help hospitals implement strategies to reduce post-discharge spending.

Project description:ObjectiveThe present study aimed to perform a systematic review and meta-analysis on the prevalence of one-year hospital readmissions and post-discharge all-cause mortality in recovered COVID-19 patients. Moreover, the country-level prevalence of the outcomes was investigated.MethodsAn extensive search was performed in Medline (PubMed), Embase, Scopus, and Web of Science databases until the end of August 3rd, 2021. A manual search was also performed in Google and Google Scholar search engines. Cohort and cross-sectional studies were included. Two independent reviewers screened the papers, collected data, and assessed the risk of bias and level of evidence. Any disagreement was resolved through discussion.Results91 articles were included. 48 studies examined hospital readmissions; nine studies assessed post-discharge all-cause mortality, and 34 studies examined both outcomes. Analyses showed that the prevalence of hospital readmissions during the first 30 days, 90 days, and one-year post-discharge were 8.97% (95% CI: 7.44, 10.50), 9.79% (95% CI: 8.37, 11.24), and 10.34% (95% CI: 8.92, 11.77), respectively. The prevalence of post-discharge all-cause mortality during the 30 days, 90 days and one-year post-discharge was 7.87% (95% CI: 2.78, 12.96), 7.63% (95% CI: 4.73, 10.53) and 7.51% (95% CI, 5.30, 9.72), respectively. 30-day hospital readmissions and post-discharge mortality were 8.97% and 7.87%, respectively. The highest prevalence of hospital readmissions was observed in Germany (15.5%), Greece (15.5%), UK (13.5%), Netherlands (11.7%), China (10.8%), USA (10.0%) and Sweden (9.9%). In addition, the highest prevalence of post-discharge all-cause mortality belonged to Italy (12.7%), the UK (11.8%), and Iran (9.2%). Sensitivity analysis showed that the prevalence of one-year hospital readmissions and post-discharge all-cause mortality in high-quality studies were 10.38% and 4.00%, respectively.Conclusion10.34% of recovered COVID-19 patients required hospital readmissions after discharge. Most cases of hospital readmissions and mortality appear to occur within 30 days after discharge. The one-year post-discharge all-cause mortality rate of COVID-19 patients is 7.87%, and the majority of patients' readmission and mortality happens within the first 30 days post-discharge. Therefore, a 30-day follow-up program and patient tracking system for discharged COVID-19 patients seems necessary.

Project description:BackgroundVariation in intensive care unit (ICU) readmissions and in-hospital mortality after ICU discharge may indicate potential for improvement and could be explained by ICU discharge practices. Our objective was threefold: (1) describe variation in rates of ICU readmissions within 48 h and post-ICU in-hospital mortality, (2) describe ICU discharge practices in Dutch hospitals, and (3) study the association between rates of ICU readmissions within 48 h and post-ICU in-hospital mortality and ICU discharge practices.MethodsWe analysed data on 42,040 admissions to 82 (91.1%) Dutch ICUs in 2011 from the Dutch National Intensive Care Evaluation (NICE) registry to describe variation in standardized ICU readmission and post-ICU mortality rates using funnel-plots. We send a questionnaire to all Dutch ICUs. 75 ICUs responded and their questionnaire data could be linked to 38,498 admissions in the NICE registry. Generalized estimation equations analyses were used to study the association between ICU readmissions and post-ICU mortality rates and the identified discharge practices, i.e. (1) ICU discharge criteria; (2) bed managers; (3) early discharge planning; (4) step-down facilities; (5) medication reconciliation; (6) verbal and written handover; (7) monitoring of post-ICU patients; and (8) consulting ICU nurses. In all analyses, the outcomes were corrected for patient-related confounding factors.ResultsThe standardized rate of ICU readmissions varied between 0.14 and 2.67 and 20.8% of the hospitals fell outside the 95% control limits and 3.6% outside the 99.8% control limits. The standardized rate of post-ICU mortality varied between 0.07 and 2.07 and 17.1% of the hospitals fell outside the 95% control limits and 4.9% outside the 99.8% control limits. We could not demonstrate an association between the eight ICU discharge practices and rates of ICU readmissions or post-ICU in-hospital mortality. Implementing a higher number of ICU discharge practices was also not associated with better patient outcomes.ConclusionsWe found both variation in patient outcomes and variation in ICU discharge practices between ICUs. However, we found no association between discharge practices and rates of ICU readmissions or post-ICU mortality. Further research is necessary to find factors, which may influence these patient outcomes, in order to improve quality of care.

Project description:BackgroundThere is a growing impetus to reorganize the hospital discharge process to reduce avoidable readmissions and costs. The aim of this study was to provide insight into hospital discharge problems and underlying causes, and to give an overview of solutions that guide providers and policy-makers in improving hospital discharge.MethodsThe Intervention Mapping framework was used. First, a problem analysis studying the scale, causes, and consequences of ineffective hospital discharge was carried out. The analysis was based on primary data from 26 focus group interviews and 321 individual interviews with patients and relatives, and involved hospital and community care providers. Second, improvements in terms of intervention outcomes, performance objectives and change objectives were specified. Third, 220 experts were consulted and a systematic review of effective discharge interventions was carried out to select theory-based methods and practical strategies required to achieve change and better performance.ResultsIneffective discharge is related to factors at the level of the individual care provider, the patient, the relationship between providers, and the organisational and technical support for care providers. Providers can reduce hospital readmission rates and adverse events by focusing on high-quality discharge information, well-coordinated care, and direct and timely communication with their counterpart colleagues. Patients, or their carers, should participate in the discharge process and be well aware of their health status and treatment. Assessment by hospital care providers whether discharge information is accurate and understood by patients and their community counterparts, are important examples of overcoming identified barriers to effective discharge. Discharge templates, medication reconciliation, a liaison nurse or pharmacist, regular site visits and teach-back are identified as effective and promising strategies to achieve the desired behavioural and environmental change.ConclusionsThis study provides a comprehensive guiding framework for providers and policy-makers to improve patient handover from hospital to primary care.

Project description:ObjectiveTo assess the efficacy of medication review as an isolated intervention and with several co-interventions for preventing hospital readmissions in older adults.MethodsOvid MEDLINE, Embase, The Cochrane Central Register of Controlled Trials and CINAHL were searched for randomized controlled trials evaluating the effectiveness of medication review interventions with or without co-interventions to prevent hospital readmissions in hospitalized or recently discharged adults aged ≥65, until September 13, 2019. Included outcomes were "at least one all-cause hospital readmission within 30 days and at any time after discharge from the index admission."ResultsTwenty-five studies met the inclusion criteria. Of these, 11 studies (7,318 participants) contributed to the network meta-analysis (NMA) on all-cause hospital readmission within 30 days. Medication review in combination with (a) medication reconciliation and patient education (risk ratio (RR) 0.45; 95% confidence interval (CI) 0.26-0.80) and (b) medication reconciliation, patient education, professional education and transitional care (RR 0.64; 95% CI 0.49-0.84) were associated with a lower risk of all-cause hospital readmission compared to usual care. Medication review in isolation did not significantly influence hospital readmissions (RR 1.06; 95% CI 0.45-2.51). The NMA on all-cause hospital readmission at any time included 24 studies (11,677 participants). Medication review combined with medication reconciliation, patient education, professional education and transitional care resulted in a reduction of hospital readmissions (RR 0.82; 95% CI 0.74-0.91) compared to usual care. The quality of the studies included in this systematic review raised some concerns, mainly regarding allocation concealment, blinding and contamination.ConclusionMedication review in combination with medication reconciliation, patient education, professional education and transitional care, was associated with a lower risk of hospital readmissions compared to usual care. An effect of medication review without co-interventions was not demonstrated. Trials of higher quality are needed in this field.

Project description:BACKGROUND:Palivizumab provides passive immunity for respiratory syncytial virus (RSV), but poor adherence compromises protection. A hospital initiative promoted administration of first palivizumab doses at an outpatient clinic immediately after discharge. The objectives of this study were to evaluate the impact of the initiative on location and timing of first palivizumab dose, patient adherence, reimbursement, acquisition cost and RSV-positive hospital readmissions. METHODS:This retrospective cohort study included pediatric patients who received palivizumab from 2012 to 2016. Three groups were compared: "before initiative," "transition" and "after initiative." Patients who did not qualify for palivizumab or who were eligible for palivizumab in previous RSV seasons were excluded. Multivariable logistic and linear regressions adjusted for patients' characteristics were used in outcome analysis. RESULTS:After adjusting for patients' characteristics, there was a 13.5-fold (95% confidence interval: 5.9-30.5, P < 0.0001) increase in odds that patients would receive outpatient administration of palivizumab and 2.7-fold (95% confidence interval: 1.3-5.7, P = 0.0103) increase in odds of receiving the second dose within 35 days after initiative implementation compared with before. Although there was no significant difference in reimbursement percentage after initiative implementation (32% ± 30% after initiative and 31% ± 22% before), calculated palivizumab acquisition costs were 20.8% lower. RSV readmissions were not significantly different. CONCLUSIONS:Implementation of an initiative with defined workflow, multidisciplinary collaboration, and early case management efforts to obtain insurance authorization increased outpatient administration of first palivizumab doses. Patient adherence improved as demonstrated by more timely receipt of the second palivizumab dose. There was no difference in reimbursement; however, acquisition cost decreased which is valuable considering low reimbursement rates. RSV-positive readmissions did not change significantly.

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Protocol-Driven Allied Health Post-Discharge Transition Clinic to Reduce Hospital Readmissions in Heart Failure.

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