Discharge planning from hospital to home

Discharge planning in mental health care: a systematic review of the recent literature

OBJECTIVE

To determine and estimate the efficacy of discharge planning interventions in mental health care from in-patient to out-patient treatment on improving patient outcome, ensuring community tenure, and saving costs.

METHOD

A systematic review and meta-analysis identified studies through an electronic search on the basis of defined inclusion and exclusion criteria and extracted data.

RESULTS

Of eleven studies included, six were randomised controlled trials, three were controlled clinical trials, and two were cohort studies. The discharge planning strategies used varied widely, most were limited to preparation of discharge during in-patient treatment. Pooled risk ratios were 0.66 (95% CI = 0.51 to 0.84; P < 0.001) for hospital readmission rate, and 1.25 (1.07 to 1.47; P < 0.001) for adherence to out-patient treatment. Effect sizes (Hedge's g) were -0.25 (-0.45 to -0.05; P = 0.02) for mental health outcome, and 0.11(-0.05 to 0.28; NS) for quality of life.

CONCLUSION

Discharge planning interventions are effective in reducing rehospitalisation and in improving adherence to aftercare among people with mental disorders.

Using routine inpatient data to identify patients at risk of hospital readmission

BACKGROUND

A relatively small percentage of patients with chronic medical conditions account for a much larger percentage of inpatient costs. There is some evidence that case-management can improve health and quality-of-life and reduce the number of times these patients are readmitted. To assess whether a statistical algorithm, based on routine inpatient data, can be used to identify patients at risk of readmission and who would therefore benefit from case-management.

METHODS

Queensland database study of public-hospital patients, who had at least one emergency admission for a chronic medical condition (e.g., congestive heart failure, chronic obstructive pulmonary disease, diabetes or dementia) during 2005/2006. Multivariate logistic regression was used to develop an algorithm to predict readmission within 12 months. The performance of the algorithm was tested against recorded readmissions using sensitivity, specificity, and Likelihood Ratios (positive and negative).

RESULTS

Several factors were identified that predicted readmission (i.e., age, co-morbidities, economic disadvantage, number of previous admissions). The discriminatory power of the model was modest as determined by area under the receiver operating characteristic (ROC) curve (c = 0.65). At a risk score threshold of 50, the algorithm identified only 44.7% (95% CI: 42.5%, 46.9%) of patients admitted with a reference condition who had an admission in the next 12 months; 37.5% (95% CI: 35.0%, 40.0%) of patients were flagged incorrectly (they did not have a subsequent admission).

CONCLUSION

A statistical algorithm based on Queensland hospital inpatient data, performed only moderately in identifying patients at risk of readmission. The main problem is that there are too many false negatives, which means that many patients who might benefit would not be offered case-management.

Factors identified by experts to support decision making for post acute referral

BACKGROUND

Each year, more than 13 million post acute referral decisions are made for Medicare recipients, yet there are no national, empirically derived decision support tools to assist in making these important decisions.

OBJECTIVES

The aim of this study was to elicit expert knowledge about factors important to referral decision making and identify the characteristics of hospitalized patients who need a post acute referral.

METHODS

This was a retrospective and prospective mixed-methods study of the referral decisions made by discharge planning experts for 355 hospitalized older adults. Variables included sociodemographics, living arrangement, insurance, diagnosis, comorbid conditions, adverse events, medications, home care use, hospitalization in last 30 days or 6 months, patients' perception of need for and use of assistive devices or post acute services, length of stay, cognition, self-rated health, depression, functional status, and post acute referral decision.

RESULTS

The final model identified six factors associated with the need for a post acute referral. A cutpoint was derived with a sensitivity and specificity of 87.6% and 63.2%, respectively. Experts were more likely to refer patients who had no or intermittent help available (odds ratio [OR] = 3.0), major walking restrictions (OR = 6.5), less than excellent self-rated health (3.1 and 4.0 times more likely with good and fair-poor health, respectively), remained in the hospital longer (OR = 1.2), and had higher depression scores (OR = 1.1) or number of comorbidities (OR = 1.2).

DISCUSSION

This study begins to identify information useful to clinicians caring for hospitalized older adults who may benefit from post acute services. By assuring the systematic, valid, and reliable collection of these items, the multidisciplinary team is alerted to patients who may benefit from post acute services. Further work is needed to increase the specificity and generalizability of the model and to test its effects on patient and clinician outcomes.

Illuminating hospital discharge planning: staff nurse decision making

This qualitative study proposed to examine staff RN's decision making related to discharge planning and perceptions of their role. Themes resulting from interviews were "following the script" and "RN as coordinator." The decision to consult a discharge planner occurred when the patient's situation did not follow the RN's expectations. Discharge planning for nonroutine situations was considered disruptive to the RN's workflow. The RN's role was limited to oversight when a discharge planner was involved. Understanding RNs' decision making in this key process provides valuable insights into differentiating routine from nonroutine patient situations and deploying appropriate resources in a timely fashion.

Hospital discharge planning and continuity of care for aged people in an Italian local health unit: does the care-home model reduce hospital readmission and mortality rates?

BACKGROUND

Hospital discharge planning is aimed to decrease length of stay in hospitals as well as to ensure continuity of health care after being discharged. Hospitalized patients in Turin, Italy, who are in need of medical, social and rehabilitative care are proposed as candidates to either discharge planning relying on a care-home model (DPCH) for a period of about 30 days, or routine discharge care. The aim of this study was to evaluate whether a hospital DPCH that was compared with routine care, improved patients' outcomes in terms of reduced hospital readmission and mortality rates in patients aged 64 years and older.

METHODS

In a retrospective observational cohort study a sample of 380 subjects aged 64 years and over was examined. Participants were discharged from the hospital S. Giovanni Bosco in Turin, Italy from March 1st, 2005 to February 28th, 2006. Of these subjects, 107 received routine discharge care while 273 patients were referred to care-home (among them, 99 received a long-term care intervention (LTCI) afterwards while 174 did not). Data was gathered from various administrative and electronic databases. Cox regression models were used to evaluate factors associated with mortality and hospital readmission.

RESULTS

When socio-demographic factors, underlying disease and disability were taken into account, DPCH decreased mortality rates only if it was followed by a LTCI: compared to routine care, the Hazard Ratio (HR) of death was 0.36 (95% Confidence Interval (CI): 0.20 - 0.66) and 1.15 (95%CI: 0.77 - 1.74) for DPCH followed by LTCI and DPCH not followed by LTCI, respectively. On the other hand, readmission rates did not significantly differ among DPCH and routine care, irrespective of the implementation of a LTCI: HRs of hospital readmission were 1.01 (95%CI: 0.48 - 2.24) and 1.18 (95%CI: 0.71 - 1.96), respectively.

CONCLUSION

The use of DPCH after hospital discharge reduced mortality rates, but only when it was followed by a long-term health care plan, thus ensuring continuity of care for elderly participants.

Hospital discharge planning and continuity of care for aged people in an Italian local health unit: does the care-home model reduce hospital readmission and mortality rates?

Background

Hospital discharge planning is aimed to decrease length of stay in hospitals as well as to ensure continuity of health care after being discharged. Hospitalized patients in Turin, Italy, who are in need of medical, social and rehabilitative care are proposed as candidates to either discharge planning relying on a care-home model (DPCH) for a period of about 30 days, or routine discharge care. The aim of this study was to evaluate whether a hospital DPCH that was compared with routine care, improved patients' outcomes in terms of reduced hospital readmission and mortality rates in patients aged 64 years and older.

Methods

In a retrospective observational cohort study a sample of 380 subjects aged 64 years and over was examined. Participants were discharged from the hospital S.Giovanni Bosco in Turin, Italy from March 1^st, 2005 to February 28^th, 2006. Of these subjects, 107 received routine discharge care while 273 patients were referred to care-home (among them, 99 received a long-term care intervention (LTCI) afterwards while 174 did not). Data was gathered from various administrative and electronic databases. Cox regression models were used to evaluate factors associated with mortality and hospital readmission.

Results

When socio-demographic factors, underlying disease and disability were taken into account, DPCH decreased mortality rates only if it was followed by a LTCI: compared to routine care, the Hazard Ratio (HR) of death was 0.36 (95% Confidence Interval (CI): 0.20 – 0.66) and 1.15 (95%CI: 0.77 – 1.74) for DPCH followed by LTCI and DPCH not followed by LTCI, respectively. On the other hand, readmission rates did not significantly differ among DPCH and routine care, irrespective of the implementation of a LTCI: HRs of hospital readmission were 1.01 (95%CI: 0.48 – 2.24) and 1.18 (95%CI: 0.71 – 1.96), respectively.

Conclusion

The use of DPCH after hospital discharge reduced mortality rates, but only when it was followed by a long-term health care plan, thus ensuring continuity of care for elderly participants.

A reengineered hospital discharge program to decrease rehospitalization: a randomized trial

BACKGROUND

Emergency department visits and rehospitalization are common after hospital discharge.

OBJECTIVE

To test the effects of an intervention designed to minimize hospital utilization after discharge.

DESIGN

Randomized trial using block randomization of 6 and 8. Randomly arranged index cards were placed in opaque envelopes labeled consecutively with study numbers, and participants were assigned a study group by revealing the index card.

SETTING

General medical service at an urban, academic, safety-net hospital.

PATIENTS

749 English-speaking hospitalized adults (mean age, 49.9 years).

INTERVENTION

A nurse discharge advocate worked with patients during their hospital stay to arrange follow-up appointments, confirm medication reconciliation, and conduct patient education with an individualized instruction booklet that was sent to their primary care provider. A clinical pharmacist called patients 2 to 4 days after discharge to reinforce the discharge plan and review medications. Participants and providers were not blinded to treatment assignment.

MEASUREMENTS

Primary outcomes were emergency department visits and hospitalizations within 30 days of discharge. Secondary outcomes were self-reported preparedness for discharge and frequency of primary care providers' follow-up within 30 days of discharge. Research staff doing follow-up were blinded to study group assignment.

RESULTS

Participants in the intervention group (n = 370) had a lower rate of hospital utilization than those receiving usual care (n = 368) (0.314 vs. 0.451 visit per person per month; incidence rate ratio, 0.695 [95% CI, 0.515 to 0.937]; P = 0.009). The intervention was most effective among participants with hospital utilization in the 6 months before index admission (P = 0.014). Adverse events were not assessed; these data were collected but are still being analyzed.

LIMITATION

This was a single-center study in which not all potentially eligible patients could be enrolled, and outcome assessment sometimes relied on participant report.

CONCLUSION

A package of discharge services reduced hospital utilization within 30 days of discharge.

FUNDING

Agency for Healthcare Research and Quality and National Heart, Lung, and Blood Institute, National Institutes of Health.

Effectiveness of acute geriatric units on functional decline, living at home, and case fatality among older patients admitted to hospital for acute medical disorders: meta-analysis

OBJECTIVE

To assess the effectiveness of acute geriatric units compared with conventional care units in adults aged 65 or more admitted to hospital for acute medical disorders.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

Medline, Embase, and the Cochrane Library up to 31 August 2008, and references from published literature. Review methods Randomised trials, non-randomised trials, and case-control studies were included. Exclusions were studies based on administrative databases, those that assessed care for a single disorder, those that evaluated acute and subacute care units, and those in which patients were admitted to the acute geriatric unit after three or more days of being admitted to hospital. Two investigators independently selected the studies and extracted the data.

RESULTS

11 studies were included of which five were randomised trials, four non-randomised trials, and two case-control studies. The randomised trials showed that compared with older people admitted to conventional care units those admitted to acute geriatric units had a lower risk of functional decline at discharge (combined odds ratio 0.82, 95% confidence interval 0.68 to 0.99) and were more likely to live at home after discharge (1.30, 1.11 to 1.52), with no differences in case fatality (0.83, 0.60 to 1.14). The global analysis of all studies, including non-randomised trials, showed similar results.

CONCLUSIONS

Care of people aged 65 or more with acute medical disorders in acute geriatric units produces a functional benefit compared with conventional hospital care, and increases the likelihood of living at home after discharge.

How well can hospital readmission be predicted in a cohort of hospitalized children? A retrospective, multicenter study

BACKGROUND

Children with complex chronic conditions depend on both their families and systems of pediatric health care, social services, and financing. Investigations into the workings of this ecology of care would be advanced by more accurate methods of population-level predictions of the likelihood for future hospitalization.

METHODS

This was a retrospective cohort study. Hospital administrative data were collected from 38 children's hospitals in the United States for the years 2003-2005. Participants included patients between 2 and 18 years of age discharged from an index hospitalization during 2004. Patient characteristics documented during the index hospitalization or any previous hospitalization during the preceding 365 days were included. The main outcome measure was readmission to the hospital during the 365 days after discharge from the index admission.

RESULTS

Among the cohort composed of 186856 patients discharged from the participating hospitals during 2004, the mean age was 9.2 years, with 54.4% male and 52.9% identified as non-Hispanic white. A total of 17.4% were admitted during the previous 365 days, and among those discharged alive (0.6% died during the admission), 16.7% were readmitted during the ensuing 365 days. The final readmission model exhibited a c statistic of 0.81 across all hospitals, with a range from 0.76 to 0.84 for each hospital. Bootstrap-based assessments demonstrated the stability of the final model.

CONCLUSIONS

Accurate population-level prediction of hospital readmissions is possible, and the resulting predicted probability of hospital readmission may prove useful for health services research and planning.

Redefining and redesigning hospital discharge to enhance patient care: a randomized controlled study

BACKGROUND

Patients are routinely ill-prepared for the transition from hospital to home. Inadequate communication between Hospitalists and primary care providers can further compromise post-discharge care. Redesigning the discharge process may improve the continuity and the quality of patient care.

OBJECTIVES

To evaluate a low-cost intervention designed to promptly reconnect patients to their "medical home" after hospital discharge.

DESIGN

Randomized controlled study. Intervention patients received a "user-friendly" Patient Discharge Form, and upon arrival at home, a telephone outreach from a nurse at their primary care site.

PARTICIPANTS

A culturally and linguistically diverse group of patients admitted to a small community teaching hospital.

MEASUREMENTS

Four undesirable outcomes were measured after hospital discharge: (1) no outpatient follow-up within 21 days; (2) readmission within 31 days; (3) emergency department visit within 31 days; and (4) failure by the primary care provider to complete an outpatient workup recommended by the hospital doctors. Outcomes of the intervention group were compared to concurrent and historical controls.

RESULTS

Only 25.5% of intervention patients had 1 or more undesirable outcomes compared to 55.1% of the concurrent and 55.0% of the historical controls. Notably, only 14.9% of the intervention patients failed to follow-up within 21 days compared to 40.8% of the concurrent and 35.0% of the historical controls. Only 11.5% of recommended outpatient workups in the intervention group were incomplete versus 31.3% in the concurrent and 31.0% in the historical controls.

CONCLUSIONS

A low-cost discharge-transfer intervention may improve the rates of outpatient follow-up and of completed workups after hospital discharge.

A predictive score to identify hospitalized patients' risk of discharge to a post-acute care facility

BACKGROUND

Early identification of patients who need post-acute care (PAC) may improve discharge planning. The purposes of the study were to develop and validate a score predicting discharge to a post-acute care (PAC) facility and to determine its best assessment time.

METHODS

We conducted a prospective study including 349 (derivation cohort) and 161 (validation cohort) consecutive patients in a general internal medicine service of a teaching hospital. We developed logistic regression models predicting discharge to a PAC facility, based on patient variables measured on admission (day 1) and on day 3. The value of each model was assessed by its area under the receiver operating characteristics curve (AUC). A simple numerical score was derived from the best model, and was validated in a separate cohort.

RESULTS

Prediction of discharge to a PAC facility was as accurate on day 1 (AUC: 0.81) as on day 3 (AUC: 0.82). The day-3 model was more parsimonious, with 5 variables: patient's partner inability to provide home help (4 pts); inability to self-manage drug regimen (4 pts); number of active medical problems on admission (1 pt per problem); dependency in bathing (4 pts) and in transfers from bed to chair (4 pts) on day 3. A score > or = 8 points predicted discharge to a PAC facility with a sensitivity of 87% and a specificity of 63%, and was significantly associated with inappropriate hospital days due to discharge delays. Internal and external validations confirmed these results.

CONCLUSION

A simple score computed on the 3rd hospital day predicted discharge to a PAC facility with good accuracy. A score > 8 points should prompt early discharge planning.

Early prediction of the need for non-routine discharge planning for the elderly

Successful home return from hospital admission is a key issue to provide quality healthcare in a society with numerous older subjects. Therefore, a screening method for early identification of patients who require intensive, non-routine discharge planning needs to be established. We have developed a 7-item screening sheet (the screening sheet at admission: SSA) and conducted a prospective cohort study to examine its usefulness in predicting the need for non-routine discharge planning. The SSA score yielded an area under receiver operating characteristic curve of 0.82. Moreover, a cutoff score of 2 or higher gave sensitivity, specificity and positive and negative predictive values of 0.82, 0.72, 0.13 and 0.99, respectively. A stepwise logistic regression model demonstrated that age of 75 years or more and impairment in basic activities of daily living (ADL) were significantly associated with requirement for non-routine discharge planning in surgical patients, while living alone or with a spouse aged 75 or older and readmission within 1 month were also significant predictors in medical patients. The SSA score may be useful in identifying patients who need further assessment and planning. While the four items were particularly important predictors, differences between medical and surgical patients should also be considered.

Homecare referrals and 12-week outcomes following surgery for cancer

PURPOSE/OBJECTIVES

To determine characteristics of patients undergoing cancer surgery who do and do not receive homecare referral after hospitalization, relative to poor discharge outcomes.

DESIGN

Secondary analysis of a randomized clinical trial.

SETTING

Urban, academic cancer center in the northeastern United States.

SAMPLE

375 patients 60 years and older and admitted for solid tumor cancer surgery.

METHODS

Stepwise, multiple logistic regression using patient characteristics related to homecare referrals or those related to poor discharge outcomes.

MAIN RESEARCH VARIABLES

Homecare referral and poor discharge outcome.

FINDINGS

Patients 70 years or older, single, hospitalized for a week or more for a late-stage cancer, with greater than four comorbid conditions, and discharged with more than four daily activity impairments, depressive symptoms, and a need for skilled nursing care were more likely to require home care. Patients not referred to home care who received adjuvant cancer therapies were about three times more likely to have poor discharge outcomes.

CONCLUSIONS

Patients who were referred for home care had characteristics similar to medical or surgical patients documented in the literature. However, younger patients with lengthy hospital stays and recipients of adjuvant cancer therapy did poorly after discharge and may benefit from home care.

IMPLICATIONS FOR NURSING

Certain characteristics, such as age, single marital status, depression, and cognition, should trigger further assessment of patients' needs after discharge, including anticipating needs of patients who will receive adjuvant therapies.

An analysis of the average waiting time during the patient discharge process at Kashani Hospital in Esfahan, Iran: a case study

Strategies for improving the patient discharge process have a beneficial effect on many hospital activities. The main objective of this research was to analyse the discharge process at Kashani Hospital in Esfahan, Iran in the fall of 2004. This study took the form of a case study in which data were collected by questionnaire, observation and checklist. SPSS and Operations Research (O.R.) methods were used to analyse data. The results showed that the average time for patients to complete the discharge process was 4.93 hours. The hospital personnel involved identified the main factors affecting average waiting time as patients' financial problems and distance between different wards. The longest hospital stay was 5.7 days in the Neurology ward. Findings showed there was a queue in completing medical records at the nursing and medical equipment stations.

The hospital discharge as evaluated by patients and their caregivers: an integrative literature review

OBJECTIVE: To evaluate hospital discharge among patients and their caregivers. METHODS: A integrative literature review was performed in the database of Pubmed, CINAHL and Lilacs from 2000 and 2005, focusing on the adult patient discharge and elderly with clinical-surgical problems, published in the English or Portuguese language. RESULTS: The population was made up of 54 publications and the sample was made up of 23 papers, which were sorted into two theme categories: 13 focused on the effectiveness and 10 on the process inefficiency. CONCLUDING REMARKS: In the subjects standpoints, the effectiveness of the discharge planning stems to the provision of information related to the disease and its treatment, contents suitable to their socioeducational characteristics and needs, through individual educational strategies, visual and written, and suitable communication among professionals, patients, caregivers and services.

Effectiveness of intermediate care in nursing-led in-patient units

BACKGROUND

The Nursing led inpatient Unit (NLU) is one of a range of services that have been considered in order to manage more successfully the transition between hospital and home for patients with extended recovery times. This is an update of an earlier review published in The Cochrane Library in Issue 3, 2004.

OBJECTIVES

To determine whether nursing-led inpatient units are effective in preparing patients for discharge from hospital compared to usual inpatient care.

SEARCH STRATEGY

We searched The Cochrane Library, the Specialized Register of the Cochrane Effective Practice and Organisation of Care (EPOC) group, MEDLINE, CINAHL, EMBASE, BNI and HMIC databases. Citation searches were undertaken on the science and social science citation indices. Authors were contacted to identify additional data. The initial search was done in January 2001. The register search was updated in October 2006, the other database searches were updated in November 2006 and the citation search was run in January 2007.

SELECTION CRITERIA

Controlled trials and interrupted time series designs that compared the NLU to usual inpatient care managed by doctors. Patients over 18 years of age following an acute hospital admission for a physical health condition.

DATA COLLECTION AND ANALYSIS

Two reviewers independently extracted data and assessed study quality.

MAIN RESULTS

Ten random or quasi-random controlled trials reported on a total of 1896 patients. There was no statistically significant effect on inpatient mortality (OR 1.10, 95% CI 0.56 to 2.16) or mortality to longest follow up (OR 0.92, 95% CI 0.65 to 1.29) but higher quality studies showed a larger non-significant increase in inpatient mortality (OR 1.52, 95% CI 0.86 to 2.68). Discharge to institutional care was reduced for the NLU (OR 0.44 95% CI 0.22 to 0.89) and functional status at discharge increased (SMD 0.37, 95% CI 0.20 to 0.54) but there was a near significant increase in inpatient stay (WMD 5.13 days 95% CI -0.5 days to 10.76 days). Early readmissions were reduced (OR 0.52 95% CI 0.34 to 0.80). One study compared a NLU for the chronically critically ill with ICU care. Mortality (OR 0.62 95% CI 0.35 to 1.10) and length of inpatient stay differ did not differ (WMD 2 days, 95% CI 10.96 to -6.96 days). Early readmissions were reduced (OR 0.33 95% CI 0.12 to 0.94). Costs of care on the NLU were higher for UK studies but lower for US based studies.

AUTHORS' CONCLUSIONS

There is some evidence that patients discharged from a NLU are better prepared for discharge but it is unclear if this is simply a product of an increased length of inpatient stay. No statistically significant adverse effects were noted but the possibility of increased early mortality cannot be discounted. More research is needed.

Interventions aimed at reducing problems in adult patients discharged from hospital to home: a systematic meta-review

BACKGROUND

Many patients encounter a variety of problems after discharge from hospital and many discharge (planning and support) interventions have been developed and studied. These primary studies have already been synthesized in several literature reviews with conflicting conclusions. We therefore set out a systematic review of the reviews examining discharge interventions. The objective was to synthesize the evidence presented in literature on the effectiveness of interventions aimed to reduce post-discharge problems in adults discharged home from an acute general care hospital.

METHODS

A comprehensive search of seventeen literature databases and twenty-five websites was performed for the period 1994-2004 to find relevant reviews. A three-stage inclusion process consisting of initial sifting, checking full-text papers on inclusion criteria, and methodological assessment, was performed independently by two reviewers. Data on effects were synthesized by use of narrative and tabular methods.

RESULTS

Fifteen systematic reviews met our inclusion criteria. All reviews had to deal with considerable heterogeneity in interventions, populations and outcomes, making synthesizing and pooling difficult. Although a statistical significant effect was occasionally found, most review authors reached no firm conclusions that the discharge interventions they studied were effective. We found limited evidence that some interventions may improve knowledge of patients, may help in keeping patients at home or may reduce readmissions to hospital. Interventions that combine discharge planning and discharge support tend to lead to the greatest effects. There is little evidence that discharge interventions have an impact on length of stay, discharge destination or dependency at discharge. We found no evidence that discharge interventions have a positive impact on the physical status of patients after discharge, on health care use after discharge, or on costs.

CONCLUSION

Based on fifteen high quality systematic reviews, there is some evidence that some interventions may have a positive impact, particularly those with educational components and those that combine pre-discharge and post-discharge interventions. However, on the whole there is only limited summarized evidence that discharge planning and discharge support interventions have a positive impact on patient status at hospital discharge, on patient functioning after discharge, on health care use after discharge, or on costs.

Palliative Care Benchmarks from Academic Medical Centers

INTRODUCTION

Palliative care is growing in the United States but little is known about the quality of care delivered.

OBJECTIVE

To benchmark the quality of palliative care in academic hospitals.

DESIGN

Multicenter, cross-sectional, retrospective chart review conducted between October 1, 2002 and September 30, 2003.

SETTING

Thirty-five University HealthSystem Consortium (UHC) academic hospitals across the United States.

PARTICIPANTS

A total of 1596 patient records.

INCLUSION CRITERIA

(1) adults, (2) high-mortality diagnoses: selected cancers, heart failure, human immunodeficiency virus (HIV), and respiratory conditions requiring ventilator support, (3) length of stay (LOS) more than 4 days, and (4) two prior admissions in the preceding 12 months.

MAIN OUTCOME MEASURES

Compliance with 11 key performance measures (KPM) derived from practice standards, literature evidence, and input from a multidisciplinary expert committee. Analyses examined relationships between provision of the KPM and specific outcomes.

RESULTS

Wide variability exists among academic hospitals in the provision of the KPM (0%-100%). The greater the compliance with KPM, the greater the improvement in quality outcomes, cost and LOS. Assessment of pain (96.1%) and dyspnea (90.2%) was high, but reduction of these symptoms was lower (73.3% and 77.2%). Documentation of prognosis (33.4%), psychosocial assessment (26.2%), communication with family/patient (46%), and timely planning for discharge disposition (53.4%) were low for this severely ill population (16.8% hospital mortality). Only 12.9% received a palliative care consultation.

CONCLUSIONS

The study reveals significant opportunities for improvement in the effective delivery of palliative care. Care that met KPM was associated with improved quality, reduced costs and LOS. Institutions that benchmarked above 90% did so by integrating KPM into daily care processes and utilizing systematized triggers, forms and default pathways. The presence of a formalized palliative care program within a hospital system had a positive effect on the achievement of KPM, whether or not formal consultation occurred. Hospitals need to develop systematic methods to improve access to palliative care.

Evaluation and development of potentially better practices to improve the discharge process in the neonatal intensive care unit

OBJECTIVE

Our goal was to identify potentially better practices that create a successful discharge planning process that spans the entire newborn intensive care stay to the next level of care by embedding the discharge planning into all aspects of patient care and communication.

METHODS

Potentially better practices were developed through recommendations from a content expert and a literature review. Internal benchmarking, self-assessment tools, monthly conference calls, the Neonatal Intensive Care Quality Improvement Collaborative 2002 listserv, parent feedback, and semiannual conferences were used to finalize recommendations and implement practices.

RESULTS

Potentially better practices included (1) create an easy-to-use/easy-to-access discharge planning tool kit, (2) restructure written and oral communication tools and processes to reflect plans for the day, the stay, and the way to discharge, (3) maximize the impact and use of caregiver educational tools, and update materials and delivery systems for caregiver education, (4) use continuous quality improvement tools and processes to ensure parent/caregiver and staff satisfaction, and (5) analyze and enhance transfers into and interactions with the community.

CONCLUSION

The potentially better practices are recommendations that are designed to integrate organizational, clinical, and operational processes to ensure optimal discharge planning from admission through follow-up in the community.

Telephone follow-up, initiated by a hospital-based health professional, for postdischarge problems in patients discharged from hospital to home

BACKGROUND

It is known that many patients encounter a variety of problems in the first weeks after they have been discharged from hospital to home. In recent years many projects have addressed discharge planning, with the aim of reducing problems after discharge. Telephone follow-up (TFU) is seen as a good means of exchanging information, providing health education and advice, managing symptoms, recognising complications early, giving reassurance and providing quality aftercare service. Some research has shown that telephone follow-up is feasible, and that patients appreciate such calls. However, at present it is not clear whether TFU is also effective in reducing postdischarge problems.

OBJECTIVES

To assess the effects of follow-up telephone calls in the first month post discharge, initiated by hospital-based health professionals, to patients discharged from hospital to home.

SEARCH STRATEGY

We searched the following databases from their start date to July 2003, without limits as to date of publication or language: the Cochrane Consumers and Communication Review Group's Specialised Register, the Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library), PubMed, EMBASE (OVID), BiomedCentral, CINAHL, ERIC (OVID), INVERT (Dutch nursing literature index), LILACS, Picarta (Dutch library system), PsycINFO/PsycLIT (OVID), the Combined Social and Science Citation Index Expanded (SCI-E), SOCIOFILE. We searched for ongoing research in the following databases: National Research Register (http://www.update-software.com/nrr/); Controlled Clinical Trials (http://www.controlled-trials.com/); and Clinical Trials (http://clinicaltrials.gov/). We searched the reference lists of included studies and contacted researchers active in this area.

SELECTION CRITERIA

Randomised and quasi-randomised controlled trials of TFU initiated by a hospital-based health professional, for patients discharged home from an acute hospital setting. The intervention was delivered within the first month after discharge; outcomes were measured within 3 months after discharge, and either the TFU was the only intervention, or its effect could be analysed separately.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed studies for inclusion and for methodological quality. The methodological quality of included studies was assessed using the criteria from the Cochrane Effective Practice and Organisation of Care Review Group. The data-extraction form was based on the template developed by the Cochrane Consumers and Communication Review Group. Data was extracted by one review author and checked by a second author. For as far it was considered that there was enough clinical homogeneity with regard to patient groups and measured outcomes, statistical pooling was planned using a random effects model and standardised mean differences for continuous scales and relative risks for dichotomous data, and tests for statistical heterogeneity were performed.

MAIN RESULTS

We included 33 studies involving 5110 patients. Predominantly, the studies were of low methodological quality. TFU has been applied in many patient groups. There is a large variety in the ways the TFU was performed (the health professionals who undertook the TFU, frequency, structure, duration, etc.). Many different outcomes have been measured, but only a few were measured across more than one study. Effects are not constant across studies, nor within patient groups. Due to methodological and clinical diversity, quantitative pooling could only be performed for a few outcomes. Of the eight meta-analyses in this review, five showed considerable statistical heterogeneity. Overall, there was inconclusive evidence about the effects of TFU.

AUTHORS' CONCLUSIONS

The low methodological quality of the included studies means that results must be considered with caution. No adverse effects were reported. Nevertheless, although some studies find that the intervention had favourable effects for some outcomes, overall the studies show clinically-equivalent results between TFU and control groups. In summary, we cannot conclude that TFU is an effective intervention.

Antiretroviral medication errors among hospitalized patients with HIV infection

BACKGROUND

Highly active antiretroviral therapy (HAART) has improved survival for persons living with human immunodeficiency virus (HIV) infection. However, effective therapy requires high levels of adherence over extended periods of time. Previous studies suggest that patients receiving long-term medication are at risk for unintended medication discrepancies at the time of hospital admission.

METHODS

We retrospectively identified every HIV-infected patient admitted to our hospital over a 1-year period who received an antiretroviral agent. We collected information on medications and renal function from the hospital computerized provider order entry system. We reviewed the medical records for those admissions for which a potential error was identified. We defined errors using Department of Health and Human Services guidelines and included only those errors that were not corrected within 24 h after initial entry.

RESULTS

There were a total of 209 admissions during a 1-year period in which an HIV-infected patient received antiretroviral therapy. After review of the medical records for 77 admissions with a potential error, 61 uncorrected errors from 54 admissions were identified (percentage of total admissions, 25.8%; 95% confidence interval, 20.1%-32.3%). The most common type of error was an error with respect to the amount or frequency of dosage, which occurred in 34 (16.3%) of the admissions; 18 of these errors were attributable to failure to appropriately adjust dosage for renal insufficiency. The next most common error was combining antiretroviral drugs with a contraindicated medication; this occurred in 12 (5.2%) of the admissions. Patients erroneously received <or=2 antiretroviral agents in 8 (3.8%) of the admissions and had an unexplained delay in continuing HAART in 7 (3.3%).

CONCLUSIONS

HIV-infected patients receiving HAART are at substantial risk for antiretroviral medication errors at the time of hospitalization. More needs to be done to ensure that these patients receive appropriate therapy during their inpatient stay.

Continuity of care for acutely unwell older adults from nursing homes

BACKGROUND

Continuity of care (COC) for acutely unwell older adults, particularly those who are nursing home residents, who present to hospital, is complicated by the presence of co-morbid conditions, long waiting times, both for the ambulance and in the department, and poor after-hours general practitioner access.

AIM

To present a critical review of the literature on COC for older adults from nursing homes who present to hospital and who are acutely unwell. The review will answer the following questions: (i) What is the contemporary meaning of the construct continuity of care? (ii) What is the relevance of continuity of care to the population of older adults who reside in nursing homes and present to hospital? and (iii) What models exist for promoting continuity of care to older adults who present to hospital?

METHOD

Guided by the conceptual analysis process a database search of CINAHL and MEDLINE was carried out utilizing the search terms 'continuity of care', 'older adults', 'nursing homes', 'emergency department' and 'acute illness'. A hand-search of additional references was also conducted. Retrieved articles were critically reviewed if they focused on older adult patients, the acute care/community settings and COC.

FINDINGS

The contemporary meaning of the COC is that it incorporates care of an individual patient over time by bridging discrete elements in the care pathway. Four distinct models of COC were identified. These were Primary Health Care; General Practice and Primary Medical Care; Consumers; and Health Policy and Systems. All are based on the proviso that the individual is sufficiently independent to be able to coordinate their own care and to take overall responsibility.

CONCLUSIONS

The connection between COC and acutely unwell older adults who present to hospital is a prolific area for further research. In particular, the effectiveness of programmes aimed at enhancing the advanced nursing practice role and the COC process for older adults, needs investigation.

Implementation of discharge management for geriatric patients at risk of readmission or institutionalization

OBJECTIVE

To evaluate whether implementation of discharge management by trained social workers or nurses reduces hospital readmissions and institutionalizations of geriatric patients in a real-world setting.

DESIGN

Quasi-experimental design.

SETTING

Six general hospitals in Belgium.

PARTICIPANTS

A representative sample of 824 patients, 355 of whom were assigned to the experimental group receiving comprehensive discharge management and 469 to the control group receiving usual care. Inclusion criteria were patients admitted to a geriatric, rehabilitation, or internal medicine ward, not residing in a nursing home, and showing risk of readmission or institutionalization on admission in the hospital.

INTERVENTION

In-hospital discharge planning according to a case management protocol allowing for adjustment to participating hospitals' case mix and patients' and families' specific needs.

MAIN OUTCOME MEASURES

Hospital readmission within 15 and 90 days post discharge; institutionalization at discharge and within 15 and 90 days post discharge.

RESULTS

Discharge management resulted in fewer institutionalizations (n = 53; 14.9%) compared with usual care (n = 130; 23.7%) (adjusted odds ratio = 0.47; CI 95% = 0.31-0.70). Readmission rates between the intervention and usual care group were not significantly different.

CONCLUSIONS

This implementation project showed that a discharge planning intervention can reduce institutionalization rates of elderly patients in real-life settings.

Effectiveness of intermediate care delivered in nurse-led units

This mini-review provides an overview of evidence regarding the effectiveness, costs and patient experience relating the intermediate care in nursing-led units. The core of the evidence is derived from a high quality systematic review of 10 controlled trials involving 1669 patients. Other studies on patient experience and costs not included in the review are also considered. There is some evidence of patient benefit in the short term in terms of independence. However this does not seem to be sustained. Total inpatient stay is increased and hence overall costs of the initial episode are increased with no evidence of longer-term savings. The approach seems to be broadly acceptable to patients. Provided it is not simply used to house patients who cannot benefit, nursing-led units may be a viable alternative to acute care for some patients. However, the core features of the units that provided the evidence must be considered in order to maximize the potential for delivering quality care.

Randomized Trial of an Intensive Care Unit–Based Early Discharge Planning Intervention for Critically Ill Elderly Patients

• Background Few investigators have targeted elderly patients and monitored outcomes of care in studies on discharge planning interventions after critical illness.

• Objectives To pilot test an intensive care unit–based nursing screening intervention to assist in determining the discharge needs and outcomes of critically ill elderly patients.

• Method A randomized clinical trial with in-hospital and mailed questionnaires was used. Patients 65 years and older who were hospitalized in 1 of 2 intensive care units at 2 midwestern university-affiliated medical centers were recruited for the study. Control patients (n = 53) received usual discharge planning; experimental patients (n = 47) were screened in the intensive care unit by using the Discharge Planning Questionnaire. Both groups were assessed for readiness for discharge when discharged from the hospital and were followed up 2 weeks later with a survey completed at home.

• Results One hundred patients 65 to 90 years old (mean 73, SD 5.78) completed the study. Sixty-six percent were men. The 2 groups did not differ with regard to age, race, sex, severity of illness, lengths of stay in the intensive care unit or hospital, education level, or income. Patients in the experimental group were more ready than patients in the control group for discharge (P = .06). Patients in the experimental group were also more likely to report they had adequate information, had less concern about managing their care at home, knew their medicines, and knew danger signals indicating potential complications.

• Conclusion Intensive care unit–based early discharge planning can affect elderly patients’ preparation for discharge.