Association of early post-discharge follow-up by a primary care physician and 30-day rehospitalization among older adults

A multicenter randomized trial to compare automatic versus as-needed follow-up for children hospitalized with common infections: The FAAN-C trial protocol

INTRODUCTION

Physicians commonly recommend automatic primary care follow-up visits to children being discharged from the hospital. While automatic follow-up provides an opportunity to address postdischarge needs, the alternative is as-needed follow-up. With this strategy, families monitor their child's symptoms and decide if they need a follow-up visit in the days after discharge. In addition to being family centered, as-needed follow-up has the potential to reduce time and financial burdens on both families and the healthcare system. As-needed follow-up has been shown to be safe and effective for children hospitalized with bronchiolitis, but the extent to which hospitalized children with other common conditions might benefit from as-needed follow-up is unclear.

METHODS

The Follow-up Automatically versus As-Needed Comparison (FAAN-C, or "fancy") trial is a multicenter randomized controlled trial. Children who are hospitalized for pneumonia, urinary tract infection, skin and soft tissue infection, or acute gastroenteritis are eligible to participate. Participants are randomized to an as-needed versus automatic posthospitalization follow-up recommendation. The sample size estimate is 2674 participants and the primary outcome is all-cause hospital readmission within 14 days of discharge. Secondary outcomes are medical interventions and child health-related quality of life. Analyses will be conducted in an intention-to-treat manner, testing noninferiority of as-needed follow-up compared with automatic follow-up.

DISCUSSION

FAAN-C will elucidate the relative benefits of an as-needed versus automatic follow-up recommendation, informing one of the most common decisions faced by families of hospitalized children and their medical providers. Findings from FAAN-C will also have implications for national quality metrics and guidelines.

Association of Timely Outpatient Follow-Up and Readmission Risk in a Mobile Integrated Health Program

The objective was to identify medical conditions associated with 30-day readmission, determine patient characteristics for which outpatient follow-up is most associated with reduced readmission, and evaluate how readmission risk changes with time to outpatient follow-up within a mobile integrated health-community paramedicine (MIH-CP) program. This retrospective observational study used data from 1,118 adult patient enrollments in a MIH-CP program operating in Baltimore, Maryland, from May 14, 2018, to December 21, 2021. Bivariate analysis identified chronic disease exacerbations associated with higher 30-day readmission risk. Kaplan-Meier curves and Cox proportional hazard regressions were used to measure how hazard of readmission changes with outpatient follow-up and how that association may vary with other factors. Receiver operating characteristic analysis was used to evaluate how well time to follow-up could predict 30-day readmission. Timely outpatient follow-up was associated with a significant reduction in hazard of readmission for patients aged 50 and younger and for patients with fewer than 5 social determinants of health needs identified. No significant association between readmission and specific chronic disease exacerbations was observed. An optimal follow-up time frame to reduce readmissions could not be identified. Timely outpatient follow-up may be effective for reducing readmissions in younger patients and patients who are less socially complex. Programs and policies aiming to reduce 30-day readmissions may have more success by expanding efforts to include these patients.

Effects of a hospital discharge clinic among people with HIV: Lack of early follow-up is associated with 30-day hospital readmission and decreased retention in care

BACKGROUND

The transition between inpatient and outpatient care for hospitalized people with HIV represents an opportunity for linkage and re-engagement in care. We evaluated whether attendance at a post-hospitalization visit ('discharge clinic') within 1-2 weeks of discharge would reduce readmissions and improve retention in care (RIC) among people with HIV in San Diego, California, USA.

METHODS

This was a retrospective cohort study of people with HIV hospitalized between June 2020 and November 2021. Our primary outcome was 30-day readmissions among people with HIV who did or did not attend a discharge clinic visit. Secondary outcomes included the effect of discharge clinic attendance on RIC, along with the impact of attendance at any HIV clinic visit within 30 days of discharge on readmissions and RIC.

RESULTS

We evaluated 114 people with HIV, of whom 77 (67.5%) and 90 (78.9%) attended a discharge clinic visit or any HIV clinic visit within 30 days of discharge, respectively. Active substance use disorder (SUD) was associated with failing to attend a discharge clinic visit (odds ratio 0.31; 95% confidence interval 0.13-0.77). We observed no significant differences in readmissions between people with HIV who did or did not attend a discharge clinic visit; however, the former had significantly higher 6-month RIC (79.2% vs. 35.1%, p < 0.001). People with HIV attending any HIV clinic visit within 30 days of discharge had significantly fewer 30-day readmissions (8.9% vs. 29.2%, p = 0.02) and better 6-month RIC (75.6% vs. 25%, p < 0.001) than those who did not attend.

CONCLUSION

Early hospital follow-up care was associated with a reduction in readmissions among people with HIV. Active SUD was a significant barrier to linkage to outpatient follow-up and RIC.

Multicomponent Pharmacist Intervention Did Not Reduce Clinically Important Medication Errors for Ambulatory Patients Initiating Direct Oral Anticoagulants

BACKGROUND

Anticoagulants including direct oral anticoagulants (DOACs) are among the highest-risk medications in the United States. We postulated that routine consultation and follow-up from a clinical pharmacist would reduce clinically important medication errors (CIMEs) among patients beginning or resuming a DOAC in the ambulatory care setting.

OBJECTIVE

To evaluate the effectiveness of a multicomponent intervention for reducing CIMEs.

DESIGN

Randomized controlled trial.

PARTICIPANTS

Ambulatory patients initiating a DOAC or resuming one after a complication.

INTERVENTION

Pharmacist evaluation and monitoring based on the implementation of a recently published checklist. Key elements included evaluation of the appropriateness of DOAC, need for DOAC affordability assistance, three pharmacist-initiated telephone consultations, access to a DOAC hotline, documented hand-off to the patient's continuity provider, and monitoring of follow-up laboratory tests.

CONTROL

Coupons and assistance to increase the affordability of DOACs.

MAIN MEASURE

Anticoagulant-related CIMEs (Anticoagulant-CIMEs) and non-anticoagulant-related CIMEs over 90 days from DOAC initiation; CIMEs identified through masked assessment process including two physician adjudication of events presented by a pharmacist distinct from intervention pharmacist who reviewed participant electronic medical records and interview data.

ANALYSIS

Incidence and incidence rate ratio (IRR) of CIMEs (intervention vs. control) using multivariable Poisson regression modeling.

KEY RESULTS

A total of 561 patients (281 intervention and 280 control patients) contributed 479 anticoagulant-CIMEs including 31 preventable and ameliorable ADEs and 448 significant anticoagulant medication errors without subsequent documented ADEs (0.95 per 100 person-days). Failure to perform required blood tests and concurrent, inappropriate usage of a DOAC with aspirin or NSAIDs were the most common anticoagulant-related CIMEs despite pharmacist documentation systematically identifying these issues when present. There was no reduction in anticoagulant-related CIMEs among intervention patients (IRR 1.17; 95% CI 0.98-1.42) or non-anticoagulant-related CIMEs (IRR 1.05; 95% CI 0.80-1.37).

CONCLUSION

A multi-component intervention in which clinical pharmacists implemented an evidence-based DOAC Checklist did not reduce CIMEs.

NIH TRIAL NUMBER

NCT04068727.

Recent functional decline and outpatient follow-up after hospital discharge: a cohort study

BACKGROUND

Functional decline is common following acute hospitalization and is associated with hospital readmission, institutionalization, and mortality. People with functional decline may have difficulty accessing post-discharge medical care, even though early physician follow-up has the potential to prevent poor outcomes and is integral to high-quality transitional care. We sought to determine whether recent functional decline was associated with lower rates of post-discharge physician follow-up, and whether this association changed during the COVID-19 pandemic, given that both functional decline and COVID-19 may affect access to post-discharge care.

METHOD

We conducted a retrospective cohort study using health administrative data from Ontario, Canada. We included patients over 65 who were discharged from an acute care facility during March 1st, 2019 - January 31st, 2020 (pre-COVID-19 period), and March 1st, 2020 - January 31st, 2021 (COVID-19 period), and who were assessed for home care while in hospital. Patients with and without functional decline were compared. Our primary outcome was any physician follow-up visit within 7 days of discharge. We used propensity score weighting to compare outcomes between those with and without functional decline.

RESULTS

Our study included 21,771 (pre-COVID) and 17,248 (COVID) hospitalized patients, of whom 15,637 (71.8%) and 12,965 (75.2%) had recent functional decline. Pre-COVID, there was no difference in physician follow-up within 7 days of discharge (Functional decline 45.0% vs. No functional decline 44.0%; RR = 1.02, 95% CI 0.98-1.06). These results did not change in the COVID-19 period (Functional decline 51.1% vs. No functional decline 49.4%; RR = 1.03, 95% CI 0.99-1.08, Z-test for interaction p = 0.72). In the COVID-19 cohort, functional decline was associated with having a 7-day physician virtual visit (RR 1.15; 95% CI 1.08-1.24) and a 7-day physician home visit (RR 1.64; 95% CI 1.10-2.43).

CONCLUSIONS

Functional decline was not associated with reduced 7-day post-discharge physician follow-up in either the pre-COVID-19 or COVID-19 periods. In the COVID-19 period, functional decline was positively associated with 7-day virtual and home-visit follow-up.

Associations of Postdischarge Follow-Up With Acute Care and Mortality in Lupus: A Medicare Cohort Study

OBJECTIVE

Patients with systemic lupus erythematosus experience the sixth highest rate of 30-day readmissions among chronic diseases. Timely postdischarge follow-up is a marker of ambulatory care quality that can reduce readmissions in other chronic conditions. Our objective was to test the hypotheses that 1) beneficiaries from populations experiencing health disparities, including patients from disadvantaged neighborhoods, will have lower odds of completed follow-up, and that 2) follow-up will predict longer time without acute care use (readmission, observation stay, or emergency department visit) or mortality.

METHODS

This observational cohort study included hospitalizations in January-November 2014 from a 20% random sample of Medicare adults. Included hospitalizations had a lupus code, discharge to home without hospice, and continuous Medicare A/B coverage for 1 year before and 1 month after hospitalization. Timely follow-up included visits with primary care or rheumatology within 30 days. Thirty-day survival outcomes were acute care use and mortality adjusted for sociodemographic information and comorbidities.

RESULTS

Over one-third (35%) of lupus hospitalizations lacked 30-day follow-up. Younger age, living in disadvantaged neighborhoods, and rurality were associated with lower odds of follow-up. Follow-up was not associated with subsequent acute care or mortality in beneficiaries age <65 years. In contrast, follow-up was associated with a 27% higher hazard for acute care use (adjusted hazard ratio [HR] 1.27 [95% confidence interval (95% CI) 1.09-1.47]) and 65% lower mortality (adjusted HR 0.35 [95% CI 0.19-0.67]) among beneficiaries age ≥65 years.

CONCLUSION

One-third of lupus hospitalizations lacked follow-up, with significant disparities in rural and disadvantaged neighborhoods. Follow-up was associated with increased acute care, but 65% lower mortality in older systemic lupus erythematosus patients. Further development of lupus-specific postdischarge strategies is needed.

Impact of early telemedicine follow-up on 30-Day hospital readmissions

INTRODUCTION

Telemedicine is increasing in popularity but the impact of this shift on patient outcomes has not been well described. Prior data has shown that early post-discharge office visits can reduce readmissions. However, it is unknown if routine use of telemedicine visits for this purpose is similarly beneficial.

MATERIALS AND METHODS

We conducted a retrospective observational study using electronic health records data to assess if the rate of 30-day hospital readmissions differed between modality of visit for primary care or cardiology post-discharge follow-up visits.

RESULTS

Compared to discharges with completed in-person follow-up visits, the adjusted odds of readmission for those with telemedicine follow-up visits was not significantly different (odds ratio [OR] 0.96, 95% confidence interval [CI] 0.61 to 1.51, P = 0.86).

CONCLUSIONS

Our study showed that 30-day readmission rate did not differ significantly according to the modality of visit. These results provide reassurance that telemedicine visits are a safe and viable alternative for primary care or cardiology post-hospitalization follow-up.

Post-discharge care needs of the older people with hospital-associated disability: A longitudinal study

AIMS

To investigate the change and associated factors of care needs within 6 months post-discharge in older people with hospital-associated disability, and the relationship between time-varying care needs and physical function.

BACKGROUND

Older people with hospital-associated disability will have various care needs post-discharge. Understanding their care needs will help to improve their health. However, studies on this population are still limited.

DESIGN

A longitudinal study.

METHODS

The older people who met the inclusion and exclusion criteria were selected in 2 tertiary hospitals in Zhejiang Province, China. The questionnaire survey method was used to collect data about socio-demographic characteristics, physical function and care needs. The data of 375 older people who completed follow-up were analysed using logistic regression analysis, generalised estimating equations and generalised additive mixed model. We followed STROBE checklist for reporting the study.

RESULTS

The care needs of the older people with hospital-associated disability declined unevenly, it decreased rapidly in the first three months, and then flattening out. The percentage of people with care needs in each dimension decreased over time, but daily care and rehabilitation needs were consistently more important. Socio-demographic factors and physical function had different effects on need at different time points, the physical function was the main factor among them. There were non-linear relationships between the physical function and different care needs with different inflection points.

CONCLUSION

This research revealed change patterns of the care needs of older people with hospital-associated disability post-discharge and the non-linear relationship between physical function and care needs. These findings may help healthcare professionals and caregivers to provide accurate care.

RELEVANCE TO CLINICAL PRACTICE

The findings can be used to identify effective approaches to address the care needs of older people with hospital-associated disability based on the time of discharge, in conjunction with age, education, and especially physical function, which will promote the justify allocation of nursing resources. What does this paper contribute to the wider global clinical community?

Community-Level Characteristics of Timely PCP Follow-Up Care and Post-Discharge ER Usage

Achieving equitable access has been a central goal in healthcare for years; access by low-income Americans is a major concern for policymakers. We examined the differences in post-discharge primary care follow-up visits and 30-day post discharge ER visits across several characteristics. The results suggest that higher housing density, percent minority population, percent unemployed, and percent uninsured point to lower rates of PCP follow-up care and higher rates of post-discharge ER visits. These findings have implications for developing cost-effective programs targeting hospital to PCP communication, especially in densely populated areas.

Septic Shock: Management and Outcomes

The incidence rates of sepsis and septic shock as a complication have become more common over the past several decades. With this increase, sepsis remains the most common cause of intensive care unit (ICU) admissions and one of the most mortality factors, with a huge burden on healthcare facilities. Septic shock has devastating consequences on patients' lives, including organ failures and other long-term complications. Due to its dynamic clinical presentations, guidelines and tools have been established to improve the diagnosis and management effectively. However, there is still a need for evidence-based standardized procedures for the diagnosis, treatment, and follow-up of sepsis and septic shock patients due to the inconsistency of current guidelines and studies contrasting with each other. The standardization would help physicians better manage sepsis, minimize complications and reduce mortality. Septic shock is usually challenging to manage due to its variety of clinical characteristics and physiologic dynamics, affecting the outcomes. Therefore, this review presented the available data in the literature on septic shock diagnosis, management, and prognosis to have an overview of the updated best practice approach to septic shock.

Outcomes of Common General Surgery Patients Discharged Over Weekends at a Tertiary Care Hospital in Taif, Saudi Arabia

Introduction: The admission of patients on weekends in multiple health centers has been associated with poorer outcomes relative to care provided during regular weekday hours. This study aimed to assess and compare the health outcomes of patients discharged on weekends and weekdays after undergoing surgery in a tertiary hospital in Taif, Saudi Arabia.

Materials and methods: The data of patients were collected from hospital records in a retrospective manner, and the outcomes were assessed after discharge. Patients discharged on Friday and Saturday were considered weekend discharges, and those discharged on other days were considered weekday discharges. Data related to readmission and emergency department (ED) visits included the primary diagnosis, number of days post-primary discharge, length of stay, chief complaint, and the number of ED visits. A logistic regression model was done to assess the predictive factor for 30-readmission after surgery. 

Results: The frequency of discharge over the weekend was 9.1%. About 6.5% and 7.3% were found to have 30-day readmission and 30-day ED visits, respectively. A statistically significant association was not observed between weekend discharge and the development of postoperative complications (p>0.05). A multinomial logistic regression showed that patients who had emergency admission, postoperative complications, and the presence of cancer were found to be independently associated with 30-day readmission after discharge (P<0.05).

Conclusion: Proactive strategies to reduce costly readmissions after surgery can be designed once the high-risk patient subset is identified.

Associations between post-discharge medical consultations and 30-day unplanned hospital readmission: A prospective observational cohort study

BACKGROUND

The period following hospital discharge is one of significant vulnerability. Little is known about the relationship between post-discharge healthcare use and the risk of readmission.

OBJECTIVES

To explore associations between medical consultations and other healthcare use parameters and the risk of 30-day unplanned hospital readmission.

METHODS

Between July 2017 and March 2018, we monitored all adult internal medicine patients for 30 days after their discharge from four mid-sized hospitals. Using follow-up telephone calls, we assessed their post-discharge healthcare use: consultations with general practitioners (GPs) and specialist physicians, emergency room (ER) visits, and home visits by nurses. The binary outcome was defined as any unplanned hospital readmission within 30 days of discharge, and this was analyzed using logistic regression.

RESULTS

Of 934 patients discharged, 111 (12%) experienced at least one unplanned hospital readmission within 30 days. Attending at least one GP consultation decreased the odds of readmission by half (adjusted OR: 0.5; 95%CI: 0.3-0.7), whereas attending at least one specialist consultation doubled those odds (aOR: 2.0; 95%CI: 1.2-3.3). GP consultations also reduced the odds of the combined risk of an ER visit or unplanned hospital readmission (aOR: 0.5; 95%CI: 0.3-0.7). ER visits were also associated with a higher readmission risk after adjusting for confounding factors (aOR: 10.0; 95%CI: 6.0-16.8).

CONCLUSION

GP consultations were associated with fewer ER visits and unplanned hospital readmissions.

Derivation and validation of predictors of oral anticoagulant-related adverse events in seniors transitioning from hospital to home

INTRODUCTION

Oral anticoagulant (OAC)-related adverse events are high post-hospitalization. We planned to develop and validate a prediction model for OAC-related harm within 30 days of hospitalization.

METHODS

We undertook a population-based study of adults aged ≥66 years who were discharged from hospital on an OAC from September 2010 to March 2015 in Ontario, Canada. The primary outcome was a composite of time to first hospitalization or emergency department visit for a hemorrhagic or thromboembolic event, or mortality within 30 days of hospital discharge. Cox proportional hazards regression was used to build the model.

RESULTS

We included 120,721 patients of which 5423 experienced the outcome. Most patients were aged ≥75 years (59.5%) and were female (55.6%). Sixty percent of the cohort had a follow-up visit with a healthcare provider within 7 days of discharge. Patients discharged on a direct acting OAC versus warfarin (apixaban: Hazard Ratio [HR] 0.82, 95% confidence interval [CI] 0.71-0.94; dabigatran: HR 0.73, 95% CI 0.63-0.84; rivaroxaban: HR 0.79, 95% CI 0.71-0.88), were prevalent users of the dispensed OAC versus incident users (HR 0.82, 95% CI 0.69-0.96), had a joint replacement in the past 35 days (HR 0.40, 95% CI 0.33-0.50) or major surgery during index hospital stay (HR 0.69, 95% CI 0.60-0.80) had a lower risk for the outcome. The Cox model was stable with acceptable discrimination but poor goodness-of-fit.

CONCLUSIONS

A model for OAC-related harm in the early post-discharge period was developed. External validation studies are required to understand the model's poor calibration.

Association of Post-discharge Service Types and Timing with 30-Day Readmissions, Length of Stay, and Costs

BACKGROUND

Although early follow-up after discharge from an index admission (IA) has been postulated to reduce 30-day readmission, some researchers have questioned its efficacy, which may depend upon the likelihood of readmission at a given time and the health conditions contributing to readmissions.

OBJECTIVE

To investigate the relationship between post-discharge services utilization of different types and at different timepoints and unplanned 30-day readmission, length of stay (LOS), and inpatient costs.

DESIGN, SETTING, AND PARTICIPANTS

The study sample included 583,199 all-cause IAs among 2014 Medicare fee-for-service beneficiaries that met IA inclusion criteria.

MAIN MEASURES

The outcomes were probability of 30-day readmission, average readmission LOS per IA discharge, and average readmission inpatient cost per IA discharge. The primary independent variables were 7 post-discharge health services (institutional outpatient, primary care physician, specialist, non-physician provider, emergency department (ED), home health care, skilled nursing facility) utilized within 7 days, 14 days, and 30 days of IA discharge. To examine the association with post-discharge services utilization, we employed multivariable logistic regressions for 30-day readmissions and two-part models for LOS and inpatient costs.

KEY RESULTS

Among all IA discharges, the probability of unplanned 30-day readmission was 0.1176, the average readmission LOS per discharge was 0.67 days, and the average inpatient cost per discharge was $5648. Institutional outpatient, home health care, and primary care physician visits at all timepoints were associated with decreased readmission and resource utilization. Conversely, 7-day and 14-day specialist visits were positively associated with all three outcomes, while 30-day visits were negatively associated. ED visits were strongly associated with increases in all three outcomes at all timepoints.

CONCLUSION

Post-discharge services of different types and at different timepoints have varying impacts on 30-day readmission, LOS, and costs. These impacts should be considered when coordinating post-discharge follow-up, and their drivers should be further explored to reduce readmission throughout the health care system.

Improvement of transitional care from hospital to home for older patients, the TIGER study: protocol of a randomised controlled trial

INTRODUCTION

In Germany, an efficient and feasible transition from hospital to home for older patients, ensuring continuous care across healthcare settings, has not yet been applied and evaluated. Based on the transitional care model (TCM), this study aims to reduce preventable readmissions of patients ≥75 years of age with a transitional care intervention performed by geriatric-experienced care professionals. The study investigates whether the intervention ensures continuous care during transition and stabilises the care situation of patients at home.

METHODS AND ANALYSES

Randomised controlled clinical trial, recruiting between 25 April 2018 and 31 December 2019 in one German hospital in the city of Regensburg. The intervention group is supported by care professionals in the transition process from hospital to home for up to 12 months. Based on TCM, the intervention includes an individual care plan according to a patient's symptoms, risks, needs and values. The plan is advanced in the domestic situation via personal visits and telephone contacts. All necessary care actions regarding, for example, mobility, residence adjustments, or nutrition, are initiated to be executed by ambulant care services, and are monitored, evaluated and adapted if necessary. In supervising the care plan, the care professionals do not administer active care services themselves but coordinate them. Patients and their caregivers are actively engaged in the care planning and execution. In contrast, the control group receives only usual discharge planning in the hospital and usual ambulatory care.The primary outcome is the all-cause readmission rate assessed using health insurance data within a follow-up of up to 12 months after hospital discharge. Secondary outcomes include care quality, mobility, nutritional and wound situation, and health-related quality of life. They are assessed at baseline, after 1 month, 3 months, 6 months, and at the end of study visit. Additionally, the economic efficiency of the intervention will be evaluated.

ETHICS AND DISSEMINATION

Ethics approval for the trial was obtained from the Ethics Committee of the Friedrich-Alexander-Universität Erlangen-Nürnberg. Results will be published in peer-reviewed, open-access scientific journals and disseminated at national and international research conferences and through public presentations in the geriatric and healthcare community.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT03513159.

Risk factors for hospital readmission in older adults within 30 days of discharge - a comparative retrospective study

BACKGROUND

The area of hospital readmission in older adults within 30 days of discharge is extensively researched but few studies look at the whole process. In this study we investigated risk factors related, not only to patient characteristics prior to and events during initial hospitalisation, but also to the processes of discharge, transition of care and follow-up. We aimed to identify patients at most risk of being readmitted as well as processes in greatest need of improvement, the goal being to find tools to help reduce early readmissions in this population.

METHODS

This comparative retrospective study included 720 patients in total. Medical records were reviewed and variables concerning patient characteristics prior to and events during initial hospital stay, as well as those related to the processes of discharge, transition of care and follow-up, were collected in a standardised manner. Either a Student's t-test, χ²-test or Fishers' exact test was used for comparisons between groups. A multiple logistic regression analysis was conducted to identify variables associated with readmission.

RESULTS

The final model showed increased odds of readmission in patients with a higher Charlson Co-morbidity Index (OR 1.12, p-value 0.002), excessive polypharmacy (OR 1.66, p-value 0.007) and living in the community with home care (OR 1.61, p-value 0.025). The odds of being readmitted within 30 days increased if the length of stay was 5 days or longer (OR 1.72, p-value 0.005) as well as if being discharged on a Friday (OR 1.88, p-value 0.003) or from a surgical unit (OR 2.09, p-value 0.001).

CONCLUSION

Patients of poor health, using 10 medications or more regularly and living in the community with home care, are at greater risk of being readmitted to hospital within 30 days of discharge. Readmissions occur more often after being discharged on a Friday or from a surgical unit. Our findings indicate patients at most risk of being readmitted as well as discharging routines in most need of improvement thus laying the ground for further studies as well as targeted actions to take in order to reduce hospital readmissions within 30 days in this population.

General practitioner follow-up after hospitalisation in Central and Eastern Sydney, Australia: access and impact on health services

Objectives General practitioner (GP) follow-up after a hospital admission is an important indicator of integrated care. We examined the characteristics of patients who saw a GP within 2 weeks of hospital discharge in the Central and Eastern Sydney (CES) region, Australia, and the relationship between GP follow-up and subsequent hospitalisation. Methods This data linkage study used a cohort of 10240 people from the 45 and Up Study who resided in CES and experienced an overnight hospitalisation in the 5 years following recruitment (2007-14). Characteristics of participants who saw a GP within 2 weeks of discharge were compared with those who did not using generalised linear models. Time to subsequent hospitalisation was compared for the two groups using Cox proportional hazards regression models stratified by prior frequency of GP use. Results Within 2 weeks of discharge, 64.3% participants saw a GP. Seeing a GP within 2 weeks of discharge was associated with lower rates of rehospitalisation for infrequent GP users (i.e. <8 visits in year before the index hospitalisation; hazard ratio (HR) 0.83; 95% confidence interval (CI) 0.70-0.97) but not frequent GP users (i.e. ≥8 plus visits; HR 1.02; 95% CI 0.90-1.17). Conclusion The effect of seeing a GP on subsequent hospitalisation was protective but differed depending on patient care needs. What is known about the topic? There is general consensus among healthcare providers that primary care is a significant source of ongoing health care provision. What does this paper add? This study explored the relationship between GP follow-up after an uncomplicated hospitalisation and its effect on rehospitalisation. What are the implications for practitioners? Discharge planning and the transfer of care from hospital to GP through discharge arrangements have substantial benefits for both patients and the health system.

Comparison of As-Needed and Scheduled Posthospitalization Follow-up for Children Hospitalized for Bronchiolitis: The Bronchiolitis Follow-up Intervention Trial (BeneFIT) Randomized Clinical Trial

Importance

Posthospitalization follow-up visits are prescribed frequently for children with bronchiolitis. The rationale for this practice is unclear, but prior work has indicated that families value these visits for the reassurance provided. The overall risks and benefits of scheduled visits have not been evaluated.

Objective

To assess whether an as-needed posthospitalization follow-up visit is noninferior to a scheduled posthospitalization follow-up visit with respect to reducing anxiety among parents of children hospitalized for bronchiolitis.

Design, Setting, and Participants

This open-label, noninferiority randomized clinical trial, performed between January 1, 2018, and April 31, 2019, assessed children younger than 24 months of age hospitalized for bronchiolitis at 2 children's hospitals (Primary Children's Hospital, Salt Lake City, Utah, and Lucile Packard Children's Hospital, Palo Alto, California) and 2 community hospitals (Intermountain Riverton Hospital, Riverton, Utah, and Packard El Camino Hospital, Mountain View, California). Data analysis was performed in an intention-to-treat manner.

Interventions

Randomization (1:1) to a scheduled (n = 151) vs an as-needed (n = 153) posthospitalization follow-up visit.

Main Outcome and Measures

The primary outcome was parental anxiety 7 days after hospital discharge, measured using the anxiety portion of the Hospital Anxiety and Depression Scale, which ranged from 0 to 28 points, with higher scores indicating greater anxiety. Fourteen prespecified secondary outcomes were assessed.

Results

Among 304 children randomized (median age, 8 months; interquartile range, 3-14 months; 179 [59%] male), the primary outcome was available for 269 patients (88%). A total of 106 children (81%) in the scheduled follow-up group attended a scheduled posthospitalization visit compared with 26 children (19%) in the as-needed group (absolute difference, 62%; 95% CI, 53%-71%). The mean (SD) 7-day parental anxiety score was 3.9 (3.5) among the as-needed posthospitalization follow-up group and 4.2 (3.5) among the scheduled group (absolute difference, -0.3 points; 95% CI, -1.0 to 0.4 points), with the upper bound of the 95% CI within the prespecified noninferiority margin of 1.1 points. Aside from a decreased mean number of clinic visits (absolute difference, -0.6 visits per patient; 95% CI, -0.4 to -0.8 visits per patient) among the as-needed group, there were no significant between-group differences in secondary outcomes, including readmissions (any hospital readmission before symptom resolution: absolute difference, -1.6%; 95% CI, -5.7% to 2.5%) and symptom duration (time from discharge to cough resolution: absolute difference, -0.6 days; 95% CI, -2.4 to 1.2 days; time from discharge to child reported "back to normal": absolute difference, -0.8 days; 95% CI, -2.7 to 1.0 days; and time from discharge to symptom resolution: absolute difference, -0.6 days; 95% CI, -2.5 to 1.3 days).

Conclusions and Relevance

Among parents of children hospitalized for bronchiolitis, an as-needed posthospitalization follow-up visit is noninferior to a scheduled posthospitalization follow-up visit with respect to reducing parental anxiety. These findings support as-needed follow-up as an effective posthospitalization follow-up strategy.

Trial Registration

ClinicalTrials.gov Identifier: NCT03354325.

Sickle-Cell Disease Co-Management, Health Care Utilization, and Hydroxyurea Use

BACKGROUND

Sickle-cell disease (SCD) causes significant morbidity, premature mortality, and high disease burden, resulting in frequent health care use. Comanagement may improve utilization and patient adherence with treatments such as Hydroxyurea. The purpose of this study was to describe acute-care utilization in Medicaid-enrolled patients with SCD, patient factors associated with comanagement, and adherence to Hydroxyurea.

METHODS

Data from 2790 patients diagnosed with SCD, age 1 to 65+ years, enrolled at least 1 month in North Carolina Medicaid between March 2016 and February 2017, were analyzed. Outpatient visits were categorized as primary care, hematologist, and nonhematologist specialist. Nurse practitioners or physician assistants with unidentified specialty type or family practice were categorized separately. Comanagement was defined as a minimum of 1 primary care and 1 hematologist visit/patient during the study period.

RESULTS

There were notable age-related differences in utilization of health care services. Only 34.82% of the sample was comanaged. Comanagement was higher in the 1-to-9-year-old (44.88%) and 10-to-17-year-old groups (39.22%) versus the 31-to-45-year-old (30.26%) and 65+-year-old (18.75%) age groups. Age had the greatest influence (AUC = 0.599) on whether or not a patient was comanaged. Only a third of the sample (32.24%) had at least 1 Hydroxyurea (HU) prescription. Age was the most predictive factor of good HUadherence (AUC = 0.6503). Prediction by comanagement was minimal with an AUC = 0.5615.

CONCLUSION

Comanagement was a factor in predicting HUadherence, but further studies are needed to identify the frequency and components of comanagement needed to increase adherence and reduce acute care utilization.

Effects of Accessible Health Technology and Caregiver Support Posthospitalization on 30-Day Readmission Risk: A Randomized Trial

INTRODUCTION

Patients with chronic illness often require ongoing support postdischarge. This study evaluated a simple-to-use, mobile health-based program designed to improve postdischarge follow-up via (1) tailored communication to patients using automated calls, (2) structured feedback to informal caregivers, and (3) automated alerts to clinicians about urgent problems.

METHODS

A total of 283 patients with common medical diagnoses, including chronic obstructive pulmonary disease, coronary artery disease, pneumonia, and diabetes, were recruited from a university hospital, a community hospital, and a US Department of Veterans Affairs hospital. All patients identified an informal caregiver or "care partner" (CP) to participate in their postdischarge support. Patient-CP dyads were randomized to the intervention or usual care. Intervention patients received weekly automated assessment and behavior change calls. CPs received structured e-mail feedback. Outpatient clinicians received fax alerts about serious problems. Primary outcomes were 30-day readmission rate and the combined outcome of readmission/emergency department (ED) use. Information about postdischarge outpatient visits, rehospitalizations, and ED encounters was obtained from medical records.

RESULTS

Overall, 11.4% of intervention patients and 17.9% of controls were rehospitalized within 30 days postdischarge (hazard ratio [HR]: 0.59; 95% confidence interval [CI]: 0.31-1.11; p = 0.102). Compared to intervention patients with other illnesses, those with pulmonary diagnoses generated the most clinical alerts (p = 0.004). Pulmonary patients in the intervention group showed significantly reduced 30-day risk of rehospitalization relative to controls (HR: 0.31; 95% CI: 0.11-0.87; p = 0.026).

CONCLUSION

The CP intervention did not improve 30-day readmission rates overall, although post hoc analyses suggested that it may be promising among patients with pulmonary diagnoses.

Structured, proactive care coordination versus usual care for Improving Morbidity during Post-Acute Care Transitions for Sepsis (IMPACTS): a pragmatic, randomized controlled trial

Background

Hospital mortality for patients with sepsis has recently declined, but sepsis survivors still suffer from significant long-term mortality and morbidity. There are limited data that support effective strategies to address post-discharge management of patients hospitalized with sepsis.

Methods

The Improving Morbidity during Post-Acute Care Transitions for Sepsis (IMPACTS) study is a pragmatic, randomized controlled trial at three hospitals within a single healthcare delivery system comparing clinical outcomes between sepsis survivors who receive usual care versus care delivered through the Sepsis Transition and Recovery (STAR) program. The STAR program includes a centrally located nurse navigator using telephone counseling and electronic health record-based support to facilitate best-practice post-sepsis care strategies for patients during hospitalization and the 30 days after hospital discharge, including post-discharge review of medications, evaluation for new impairments or symptoms, monitoring existing comorbidities, and palliative care referral when appropriate. Adults admitted through the Emergency Department with suspected infection (i.e., antibiotics initiated, bacterial cultures drawn) and deemed, by previously developed risk-stratification models, high risk for readmission or death are included. Eligible patients are randomly allocated 1:1 to either Arm 1, usual care or Arm 2, STAR. Planned enrollment is 708 patients during a 6-month period. The primary outcome is the composite of all-cause hospital readmissions and mortality assessed 30 days post discharge. Secondary outcomes include 30- and 90-day hospital readmissions, mortality, emergency department visits, acute care-free days alive, and acute care and total costs.

Discussion

This pragmatic evaluation provides the most comprehensive assessment to date of a strategy to improve delivery of recommended post-sepsis care.

Trial registration

ClinicalTrials.gov, NCT03865602. Registered retrospectively on 6 March 2019.

Implementation of an ICU Recovery Clinic at a Tertiary Care Academic Center

Post-ICU clinics may facilitate the care of survivors of critical illness, but there is a paucity of data describing post-ICU clinic implementation. We sought to describe implementation of our ICU recovery clinic, including an assessment of barriers and facilitators to clinic attendance.

DESIGN

Adults admitted to the medical ICU of a large tertiary care academic hospital with shock and/or respiratory failure requiring mechanical ventilation were screened for participation in a newly formed ICU recovery clinic. Participant selection and attendance rates were tracked. Reasons for nonattendance were assessed by phone call in a subset of patients.

SETTING

A newly formed ICU recovery clinic of a large tertiary care academic hospital.

PATIENTS

All patients admitted to the medical ICU were screened.

INTERVENTIONS

ICU recovery clinic appointments were scheduled for all eligible patients. A subset of nonattenders were called to assess reasons for nonattendance.

MEASUREMENTS AND MAIN RESULTS

Over 2 years, we admitted 5,510 patients to our medical ICU. Three hundred sixty-two were screened into the recovery clinic. One-hundred sixty-six were not scheduled for clinic; major reasons included discharge to hospice/death in the hospital (n = 55) and discharge to a facility (n = 50). One-hundred ninety-six patients were scheduled for a visit and of those, 101 (52%) arrived to clinic. Reasons for nonattendance in a surveyed subset of nonattenders included patient's lack of awareness of the appointment (50%, n = 9/18), financial concerns (17%, n = 3/18), and transportation difficulty (17%, n = 3/18).

CONCLUSIONS

ICU recovery clinics may address the needs of survivors of critical illness. Barriers to clinic attendance include high mortality rates, high rates of clinic appointment cancelations and nonattendance, and discharge to locations such as skilled nursing facilities or long-term acute care hospitals. Improved communication to patients about the role of the clinic may facilitate attendance and minimize canceled appointments.

Patients' ratings of the in-hospital discharge briefing and post-discharge primary care follow-up: The association with 30-day readmissions

OBJECTIVE

We examined whether patients' ratings of their in-hospital discharge briefing and their post-discharge Primary Care Physicians' (PCP) review of the discharge summary are associated with 30-day readmissions.

METHODS

A prospective study of 594 internal-medicine patients at a tertiary medical-center in Israel. The in-hospital baseline questionnaire included sociodemographic characteristics, physical, mental, and functional health status. Patients were surveyed by phone about the discharge and post-discharge processes. Clinical data and health-service use was retrieved from a central data-warehouse. Multivariate regressions modeled the relationship between in-hospital baseline characteristics, discharge briefing, PCP visit indicator, the PCP discharge summary review, and 30-day readmissions.

RESULTS

The extent of the PCPs' review of the hospital discharge summary at the post-discharge visit was rated higher than the in-hospital discharge briefing (3.46 vs. 3.17, p = 0.001) and was associated with lower odds of readmission (OR=0.35, 95% CI 0.26-0.45). The model that included this assessment performed better than the in-hospital baseline, the in-hospital discharge-briefing, and the PCP visit models (C-statistic = 0.87, compared with: 0.70, 0.81, 0.81, respectively).

CONCLUSIONS

Providing extensive post-discharge explanations by PCPs serves as a significant protective factor against readmissions.

PRACTICE IMPLICATIONS

PCPs should be encouraged to thoroughly review the discharge summary letter with the patient.

Measuring Patient Preferences and Clinic Follow-Up Utilizing an Embedded Discharge Appointment Scheduler: A Pilot Study

BACKGROUND

Scheduling timely outpatient follow-up appointments is part of a high-quality discharge process. In many centers, residents and hospitalists schedule follow-up appointments, often without patient input due to time constraints.

METHODS

A needs assessment was conducted to quantify clinician time spent making discharge appointments and to identify barriers to successful appointment scheduling. A four-week pilot intervention subsequently embedded a discharge scheduler responsible for scheduling discharge appointments into five house staff teams. The goals of the pilot were to incorporate patients' scheduling preferences when making appointments, to improve appointment attendance, and to reduce administrative burden on residents. Results were analyzed using chi-square and Fisher's exact tests.

RESULTS

Patients expressed a strong preference to be involved in scheduling follow-up appointments. In the intervention, there was a statistically significant increase in successfully scheduled appointments (66.7% vs. 87.7%; p < 0.0001) and attendance at follow-up appointments (43.9% baseline vs. 62.9% intervention; p = 0.011), a statistically significant reduction in rescheduled appointments (16.7% baseline vs. 4.9% intervention; p = 0.008), a nonsignificant trend toward increased number of canceled appointments (7.6% baseline vs. 17.5% intervention; p = 0.088), and no significant difference in no-show rates (18.2% baseline vs. 14.7% intervention; p = 0.544). Of residents involved in the pilot, 100% reported that the scheduler improved their ability to care for patients.

CONCLUSION

This pilot suggests that adding a nonclinical team member tasked with scheduling discharge appointments improved alignment of the discharge process with patients' preferences and may be of value to residents, hospitalists, and the health care system.

Outcomes of a Citywide Campaign to Reduce Medicaid Hospital Readmissions With Connection to Primary Care Within 7 Days of Hospital Discharge

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.

Factors associated with attendance at primary care appointments after discharge from hospital: a retrospective cohort study

BACKGROUND

Follow-up with a primary care provider within 1-2 weeks of discharge from hospital has been associated with reduced readmissions. We sought to determine appointment attendance with primary care providers postdischarge and identify factors associated with attendance.

METHODS

We conducted a retrospective cohort study involving general medicine patients who had been discharged from hospital between Sept. 1, 2014, and Dec. 30, 2015, from 2 Ontario academic hospitals, and who had been supported by a transitional care specialist and advised to see a primary care provider within 1 week. Attendance was determined by self-report during follow-up by telephone. We used multivariable logistic regression to assess whether patient factors (e.g., comorbidity) or system factors (e.g., booking the appointment before discharge) predicted attendance. We used Cox proportional hazards modelling to assess whether attendance predicted readmission within 30 days.

RESULTS

Of the 214 patients included in our study, 35% (n = 75) attended a primary care appointment within 1 week of discharge; 52% (n = 124) of patients attended an appointment within 2 weeks. After adjusting for age, sex and comorbidity, significant predictors of attendance were booking the appointment before discharge (odds ratio [OR] 2.14, 95% confidence interval [CI] 1.07-4.40), familiarity with the primary care provider (OR 5.43, 95% CI 2.25-14.1) and inclusion of a reminder, callback number and appointment time in the discharge summary (OR 15.3, 95% CI 2.09-326). Predictors of nonattendance were the presence of a home support worker (OR 0.38, 95% CI 0.17-0.80) and a booked specialist appointment before discharge (OR 0.37, 95% CI 0.18-0.73). Attendance was not associated with reduced readmissions (hazard ratio 0.66, 95% CI 0.40-1.09).

INTERPRETATION

Timely follow-up with PCPs postdischarge remains challenging. Efforts to improve attendance should focus on reinforcing need for follow-up and coordinating follow-up before discharge, particularly for those poorly connected with the health care system.

Thirty-day rehospitalizations among elderly patients with acute myocardial infarction: Impact of postdischarge ambulatory care

Rehospitalization after acute myocardial infarction (AMI) is common in elderly patients. It increases morbimortality and health care expenditures. The association between ambulatory care after discharge for AMI and rehospitalization has never been studied in France. We analyzed the impact of ambulatory care on rehospitalization of elderly patients (≥65 years) within 30 days after hospital discharge.We conducted a nationwide population-based study of elderly patients hospitalized with a main diagnosis of AMI in France between 2011 and 2013. We excluded patients hospitalized for AMI in the previous year and those who died during the index hospitalization or within 30 days after discharge. The primary outcome was the first all-cause 30-day rehospitalization in an acute care hospital. Individual and neighborhood-level variables were compared among rehospitalized and nonrehospitalized patients. Determinants of 30-day rehospitalization were identified using logistic regression models.Among the 624 eligible patients, 137 (22.0%) were rehospitalized within 30 days after discharge. In multivariate analyses, chronic kidney failure (odds ratio [OR] 1.88; 95% confidence interval [CI], 1.01-3.53) was an independent predictor of 30-day rehospitalization. We found no association among deprivation and spatial accessibility measures and 30-day rehospitalization. The purchase of lipid-lowering drugs prescription within 7 days after discharge was associated with a reduced risk of 30-day rehospitalization (OR 0.53; 95% CI, 0.36-0.79).This study highlights the role of coordination among hospital and primary care physicians in post-AMI discharge and follow-up among elderly patients. Specifically, targeted interventions to reduce 30-day rehospitalizations should focus on patients with comorbidities and use of prescription drugs after hospital discharge.

Optimal Timing of Physician Visits after Hospital Discharge to Reduce Readmission

OBJECTIVE

To identify the optimal timing of in-person physician visit after hospital discharge to yield the largest reduction in readmission among elderly or chronically ill patients.

DATA SOURCES/STUDY SETTING/EXTRACTION METHODS

We extracted insurance billing data on 620,656 admissions for any cause from 2002 to 2009 in Quebec, Canada.

STUDY DESIGN

We used flexible survival models to estimate inverse probability weights for the precise timing (days) of in-person physician visit after discharge and weighted competing risk outcome models.

PRINCIPAL FINDINGS

Readmission reduction associated with in-person physician visits (compared to none) was seen early after discharge, with 67.8 fewer readmissions per 1,000 discharges if physician visit occurred within 7 days (95 percent CI: 66.7-69.0), and 110.0 fewer readmissions within 21 days (95 percent CI: 108.2-111.7). The period of largest contribution to readmission reduction was seen in the first 10 days, while physician visits occurring later than 21 days after discharge did not further contribute to reducing hospital readmissions. Larger risk reductions were observed among patients in the highest morbidity level and for in-person follow-up with a primary care physician rather than a medical specialist.

CONCLUSIONS

When provided promptly, postdischarge in-person physician visit can prevent many readmissions. The benefits appear optimal when such visit occurs within the first 10 days, or at least within the first 21 days of discharge.

Outcomes of common general surgery procedures for patients discharged over weekends at a tertiary care hospital in Saudi Arabia

BACKGROUND

Hospitals usually reduce staffing levels and services over weekends. This raises the question of whether patients discharged over a weekend may be inadequately prepared and possibly at higher risk of adverse events post-discharge.

OBJECTIVES

To assess the outcomes of common general surgery procedures for patients discharged over weekends, and to identify the key predictors of early readmission.

DESIGN

Retrospective cohort study.

SETTING

A tertiary care center.

PATIENTS AND METHODS

Patients discharged from general surgery services during the one-year period between January and December 2016 after cholecystectomy, appendectomy, or hernia repairs were included. Patient demographic information, comorbidities, and complications as well as admission and follow-up details were collected from electronic medical records.

MAIN OUTCOME MEASURES

Outcomes following weekend discharge, and the predictors of early readmission.

SAMPLE SIZE

743 patients.

RESULTS

The operations performed: 361 patients (48.6%) underwent a cholecystectomy, 288 (38.8%) an appendectomy, and 94 (12.6%) hernia repairs. A significantly lower number of patients were discharged over the weekend (n=125) compared to those discharged on weekdays (n=618). Patients discharged during the weekend were younger, less likely to have chronic diseases, and had a significantly shorter average length of stay (LOS) (median 2 days, IQR: 1, 4 vs. median 3 days, IQR: 1, 5, P=.002). Overall, the 30-day readmission rate was 3.2% (n=24), and weekend discharge (OR=2.25, 95% CI 0.52-9.70) or any other variable did not predict readmission in 30 days. However, 14-day post-discharge follow-up visits were significantly lower in the weekend discharge subgroup (83.1% vs. 91.2%, P=.006).

CONCLUSION

Weekend discharge was not associated with higher readmission rates. Physicians may consider discharging post-operative patients over a weekend without an increased risk to the patient. Day of discharge, length of stay and increased patient age are not predictors of early readmission.

LIMITATIONS

Single-center study and retrospective.

CONFLICT OF INTEREST

None.

A propensity score analysis of the impact of surgical intervention on unexpected 30-day readmission following admission for subdural hematoma

OBJECTIVE

Subdural hematoma (SDH) is a common disease that is increasingly being managed nonoperatively. The all-cause readmission rate for SDH has not previously been described. This study seeks to describe the incidence of unexpected 30-day readmission in a cohort of patients admitted to an academic neurosurgical center. Additionally, the relationship between operative management, clinical outcome, and unexpected readmission is explored.

METHODS

This is an observational study of 200 consecutive adult patients with SDH admitted to the neurosurgical ICU of an academic medical center. Demographic information, clinical characteristics, and treatment strategies were compared between readmitted and nonreadmitted patients. Multivariable logistic regression, weighted by the inverse probability of receiving surgery using propensity scores, was used to evaluate the association between operative management and unexpected readmission.

RESULTS

Of 200 total patients, 18 (9%) died during hospitalization and were not included in the analysis. Overall, 48 patients (26%) were unexpectedly readmitted within 30 days. Sixteen patients (33.3%) underwent SDH evacuation during their readmission. Factors significantly associated with unexpected readmission were nonoperative management (72.9% vs 54.5%, p = 0.03) and female sex (50.0% vs 32.1%, p = 0.03). In logistic regression analysis weighted by the inverse probability of treatment and including likely confounders, surgical management was not associated with likelihood of a good outcome at hospital discharge, but was associated with significantly reduced odds of unexpected readmission (OR 0.19, 95% CI 0.08-0.49).

CONCLUSIONS

Over 25% of SDH patients admitted to an academic neurosurgical ICU were unexpectedly readmitted within 30 days. Nonoperative management does not affect outcome at hospital discharge but is significantly associated with readmission, even when accounting for the probability of treatment by propensity score weighted logistic regression. Additional research is needed to validate these results and to further characterize the impact of nonoperative management on long-term costs and clinical outcomes.

Patient Engagement Following Acute Myocardial Infarction and Its Influence on Outcomes

The Patient Activation Measure (PAM) is a validated assessment tool that evaluates how engaged patients are in their own health care. The more engaged or "activated" patients are, the higher the score and the more likely they are to adhere to medical therapy and make healthy lifestyle choices. Little is known regarding patient activation in patients after an acute myocardial infarction. From March 2016 to December 2016, we administered PAM surveys to patients after myocardial infarction at the time of a clinic visit scheduled within 10 days of hospital discharge. Demographic and outcome data were collected. The primary outcome was defined as a composite end point of major medication errors, emergency department visits, and/or unplanned readmission. The secondary outcome was continued tobacco use after discharge. A total of 93 patients were enrolled and 39 (42%) were positive for the primary outcome. PAM scores ranged from 40.9 to 100 (median 62.6, interquartile range 56.0 to 72.1). In multivariable analysis, adjusting for age, gender, and burden of co-morbidities, patients with lower PAM scores were more likely to have the primary outcome (odds ratio 1.063, 95% confidence interval 1.020 to 1.109, p = 0.0041). Patients with lower PAM scores also were more likely to continue to use tobacco after discharge (odds ratio 1.060, 95% confidence interval 1.005 to 1.118, p = 0.0325). In conclusion, we found an association between lower PAM scores and subsequent adverse clinical outcomes, including unplanned readmissions. Further investigation into the potential effect of education and coaching interventions in patients with low PAM scores after acute myocardial infarction is warranted.

The association of post-discharge adverse events with timely follow-up visits after hospital discharge

OBJECTIVE

There has been little research to examine the association of post-discharge adverse events (AEs) with timely follow-up visits after hospital discharge. We aimed to examine whether having a timely follow-up outpatient visit would reduce the risk for post-discharge AEs.

METHODS

This was a methods study of patients at risk for post-discharge AEs from December 2011 through October 2012. Five hundred and forty-five patients who were under the care of hospitalist physicians and were discharged home from a community hospital, spoke English, and could be contacted after discharge were evaluated. The aim of the study was to examine the association of post-discharge AEs with timely follow-up visits after hospital discharge based on structured telephone interviews, health record review, and adjudication by two blinded, trained physicians using a previously established methodology.

RESULTS

We observed a higher incidence of AEs with patients that had their first follow-up visit within 7 days after hospital discharge (33.5% vs. 23.0%, p = 0.007). This effect was attenuated somewhat but remained significant when adjusted for several patient factors (adjusted OR 1.33, 95% confidence interval 1.16-2.71).

CONCLUSION

This observational study paradoxically showed an increase in post-discharge AEs with early follow-up, likely a result of confounding by indication and/or information bias that could not be completely adjusted for. This study illustrates the potential hazards with conducting observational studies to determine the efficacy of various transitional care interventions, such as early follow-up, where risk for confounding by indication is high.

If You Book It, Will They Come? Attendance at Postdischarge Follow-Up Visits Scheduled by Inpatient Providers

BACKGROUND

Postdischarge follow-up visits (PDFVs) are widely recommended to improve inpatient-outpatient transitions of care.

OBJECTIVE

To measure PDFV attendance rates.

DESIGN

Observational cohort study.

SETTING

Medical units at an academic quaternary-care hospital and its affiliated outpatient clinics.

PATIENTS

Adult patients hospitalized between April 2014 and March 2015 for whom at least 1 PDFV with our health system was scheduled. Exclusion criteria included nonprovider visits, visits cancelled before discharge, nonaccepted health insurance, and visits scheduled for deceased patients.

MEASUREMENTS

The study outcome was the incidence of PDFVs resulting in no-shows or same-day cancellations (NS/SDCs).

RESULTS

Of all hospitalizations, 6136 (52%) with 9258 PDFVs were analyzed. Twenty-five percent of PDFVs were NS/SDCs, 23% were cancelled before the visit, and 52% were attended as scheduled. In multivariable regression models, NS/SDC risk factors included black race (odds ratio [OR] 1.94, 95% confidence interval [CI], 1.63-2.32), longer lengths of stay (hospitalizations ≥15 days: OR 1.51, 95% CI, 1.22- 1.88), and discharge to facility (OR 2.10, 95% CI, 1.70-2.60). Conversely, NS/SDC visits were less likely with advancing age (age ≥65 years: OR 0.39, 95% CI, 0.31-0.49) and driving distance (highest quartile: OR 0.65, 95% CI, 0.52-0.81). Primary care visits had higher NS/SDC rates (OR 2.62, 95% CI, 2.03-3.38) than oncologic visits. The time interval between discharge and PDFV was not associated with NS/SDC rates.

CONCLUSIONS

PDFVs were scheduled for more than half of hospitalizations, but 25% resulted in NS/SDCs. New strategies are needed to improve PDFV attendance.

Burn center care reduces acute health care utilization after discharge: A population-based analysis of 1,895 survivors of major burn injury

BACKGROUND

Improvements in survival after burns have resulted in more patients being discharged home after severe injury. However, the postdischarge health care needs of burn survivors are not well understood. We aimed to determine the rate and causes of unplanned presentation to acute care facilities in the 5 years after major burn injury.

METHODS

Data derived from several population-based administrative databases were used to conduct a retrospective cohort study. All patients aged ≥16 years who survived to discharge after a major burn injury in 2003-2013 were followed for 1-5 years. All emergency department visits and unplanned readmissions were identified and classified by cause. Factors associated with emergency department visits were modeled using negative binomial generalized estimating equations. Factors associated with readmission were modeled using multivariable competing risk regression.

RESULTS

We identified 1,895 patients who survived to discharge; 68% of patients had at least one emergency department visit and 30% had at least one readmission. Five-year mortality was 10%. The most common reason for both emergency department visits and readmissions was traumatic injury. After risk adjustment, patients who received their index care in a burn center experienced significantly less need for subsequent unplanned acute care, fewer emergency department visits (relative risk 0.61, 95% confidence interval, 0.52-0.72), and fewer hospital readmissions (hazard ratio 0.77, 95% confidence interval, 0.65-0.92).

CONCLUSION

Acute health care utilization is frequent after burn injury and is most commonly related to traumatic injuries. Burn-related events are uncommon beyond 30 days after discharge, suggesting low rates of burn recidivism. Patients treated at burn centers have significantly reduced unplanned health care utilization after their injury.

Transitions From Skilled Nursing Facility to Home: The Relationship of Early Outpatient Care to Hospital Readmission

BACKGROUND

Many adults are discharged to skilled nursing facilities (SNFs) prior to returning home from the hospital. Patient characteristics and factors that can help to prevent postdischarge adverse outcomes are poorly understood.

OBJECTIVE

To identify whether early post-SNF discharge care reduces likelihood of 30-day hospital readmissions.

DESIGN

Secondary data analysis using the Electronic Medical Record, Medicare, Medicaid and the Minimum Data Set.

PARTICIPANTS/SETTING

Older (age > 65 years), community-dwelling adults admitted to a safety net hospital in the Midwest for 3 or more nights and discharged home after an SNF stay (n = 1543).

MEASUREMENTS

The primary outcome was hospital readmission within 30 days of SNF discharge. The primary independent variables were either a home health visit or an outpatient provider visit within a week of SNF discharge.

RESULTS

Out of 8754 community-dwelling, hospitalized older adults, 3025 (34.6%) were discharged to an SNF, of whom 1543 (51.0%) returned home. Among the SNF to home group, a home health visit within a week of SNF discharge was associated with reduced hazard of 30-day hospital readmission [adjusted hazard ratio (aHR) 0.61, P < .001] but outpatient provider visits were not associated with reduced risk of hospital readmission (aHR = 0.67, P = .821).

CONCLUSION

For patients discharged from an SNF to home, the finding that a home health visit within a week of discharge is associated with reduced hazard of 30-day hospital readmissions suggests a potential avenue for intervention.

Impact of Transitional Care Services for Chronically Ill Older Patients: A Systematic Evidence Review

Transitions in care from hospital to primary care for older patients with chronic diseases (CD) are complex and lead to increased mortality and service use. In response to these challenges, transitional care (TC) interventions are being widely implemented. They encompass education on self-management, discharge planning, structured follow-up and coordination among the different healthcare professionals. We conducted a systematic review to determine the effectiveness of interventions targeting transitions from hospital to the primary care setting for chronically ill older patients.. Randomized controlled trials were identified through Medline, CINHAL, PsycInfo, EMBASE (1995-2015). Two independent reviewers performed the study selection, data extraction and assessment of study quality (Cochrane "Risk of Bias"). Risk differences (RD) and number needed to treat (NNT) or mean differences (MD) were calculated using a random-effects model. From 10,234 references, 92 studies were included. Compared to usual care, significantly better outcomes were observed: a lower mortality at 3 (RD: -0.02 [-0.05, 0.00]; NNT: 50), 6, 12 and 18 months post-discharge, a lower rate of ED visits at 3 months (RD: -0.08 [-0.15, -0.01]; NNT: 13), a lower rate of readmissions at 3 (RD: -0.08 [-0.14, -0.03]; NNT: 7), 6, 12 and 18 months and a lower mean of readmission days at 3 (MD: -1.33; [-2.15, -0.52]), 6, 12 and 18 months. No significant differences were observed in quality of life. In conclusion, TC improves transitions for older patients and should be included in the reorganization of healthcare services.

Predicting 30-Day Pneumonia Readmissions Using Electronic Health Record Data

BACKGROUND

Readmissions after hospitalization for pneumonia are common, but the few risk-prediction models have poor to modest predictive ability. Data routinely collected in the electronic health record (EHR) may improve prediction.

OBJECTIVE

To develop pneumonia-specific readmission risk-prediction models using EHR data from the first day and from the entire hospital stay ("full stay").

DESIGN

Observational cohort study using stepwise-backward selection and cross-validation.

SUBJECTS

Consecutive pneumonia hospitalizations from 6 diverse hospitals in north Texas from 2009-2010.

MEASURES

All-cause nonelective 30-day readmissions, ascertained from 75 regional hospitals.

RESULTS

Of 1463 patients, 13.6% were readmitted. The first-day pneumonia-specific model included sociodemographic factors, prior hospitalizations, thrombocytosis, and a modified pneumonia severity index; the full-stay model included disposition status, vital sign instabilities on discharge, and an updated pneumonia severity index calculated using values from the day of discharge as additional predictors. The full-stay pneumonia-specific model outperformed the first-day model (C statistic 0.731 vs 0.695; P = 0.02; net reclassification index = 0.08). Compared to a validated multi-condition readmission model, the Centers for Medicare and Medicaid Services pneumonia model, and 2 commonly used pneumonia severity of illness scores, the full-stay pneumonia-specific model had better discrimination (C statistic range 0.604-0.681; P < 0.01 for all comparisons), predicted a broader range of risk, and better reclassified individuals by their true risk (net reclassification index range, 0.09-0.18).

CONCLUSIONS

EHR data collected from the entire hospitalization can accurately predict readmission risk among patients hospitalized for pneumonia. This approach outperforms a first-day pneumonia-specific model, the Centers for Medicare and Medicaid Services pneumonia model, and 2 commonly used pneumonia severity of illness scores. Journal of Hospital Medicine 2017;12:209-216.

Early primary care follow-up after ED and hospital discharge - does it affect readmissions?

OBJECTIVES

After hospitalization, timely discharge follow-up has been linked to reduced readmissions in the heart failure population, but data from general inpatients has been mixed. The objective of this study was to determine if there was an association between completed follow-up appointments within 14 days of hospital discharge and 30-day readmission amongst primary care patients at an urban academic medical center. Index discharges included both inpatient and emergency room settings. A secondary objective was to identify patient factors associated with completed follow-up appointments within 14 days.

METHODS

We conducted a retrospective review of primary care patients at an urban academic medical center who were discharged from either the emergency department (ED) or inpatient services at the Weill Cornell Medical Center/New York Presbyterian Hospital from 1 January 2014-31 December 2014. Cox proportional hazard models were used to identify the relationship between follow-up in primary care within 14 days and readmission within 30 days. Logistic regression was used to evaluate the association of patient factors with 14-day follow-up.

RESULTS

Among 9,662 inpatient and ED discharges, multivariable analysis (adjusting for age, gender, race/ethnicity, insurance, number of diagnoses on problem list, length of stay, and discharge service) showed that follow-up with primary care within 14 days was not associated with a lower hazard of readmission within 30 days (HR = 0.78; 95% CI 0.56-1.09). A higher number of diagnoses on the problem list was associated with greater odds of follow-up for both inpatient and emergency department discharges (inpatient: HR = 1.03, 95% CI 1.02-1.04; ED: HR = 1.02, 95% CI 1.00-1.04). For inpatient discharges, each additional day in length of stay was associated with 3% lower odds of follow-up (HR = 0.97, 95% CI 0.96-0.99).

CONCLUSION

Early follow-up within 14 days after discharge from general inpatient services was associated with a trend toward lower hazard of 30-day readmission though this finding was not significant. Future studies should focus on identifying additional cohorts of patients in which readmission is reduced by early follow-up, so that access to primary care appointments is not compromised.

Relationship between Early Physician Follow-Up and 30-Day Readmission after Acute Myocardial Infarction and Heart Failure

Background

Thirty-day readmission rates after acute myocardial infarction (AMI) and heart failure are important patient outcome metrics. Early post-discharge physician follow-up has been promoted as a method of reducing 30-day readmission rates. However, the relationships between early post-discharge follow-up and 30-day readmission for AMI and heart failure are inconclusive. We used nationwide population-based data to examine associations between 7-day physician follow-up and 30-day readmission, and further associations of 7-day same physician (during the index hospitalization and at follow-up) and cardiologist follow-up with 30-day readmission for non-ST-segment-elevation myocardial infarction (NSTEMI) or heart failure.

Methods

We analyzed all patients 18 years or older with NSTEMI and heart failure and discharged from hospitals in 2010 in Taiwan through Taiwan’s National Health Insurance Research Database. Cox proportional hazard models with robust sandwich variance estimates and propensity score weighting were performed after adjustment for patient and hospital characteristics to test associations between 7-day physician follow-up and 30-day readmission.

Results

The study population for NSTEMI and heart failure included 5,008 and 13,577 patients, respectively. Early physician follow-up was associated with a lower hazard ratio of readmission compared with no early physician follow-up for patients with NSTEMI (hazard ratio [HR], 0.47; 95% confidence interval [CI], 0.39–0.57), and for patients with heart failure (HR, 0.54; 95% CI, 0.48–0.60). Same physician follow-up was associated with a reduced hazard ratio of readmission compared with different physician follow-up for patients with NSTEMI (HR, 0.56; 95% CI, 0.48–0.65), and for patients with heart failure (HR, 0.69; 95% CI, 0.62–0.76).

Conclusions

For each condition, patients who have an outpatient visit with a physician within 7 days of discharge have a lower risk of 30-day readmission. Moreover, patients who have an outpatient visit with the same physician within 7 days of discharge have a much lower risk of 30-day readmission.

Improving Post-Hospitalization Transition Outcomes through Accessible Health Information Technology and Caregiver Support: Protocol for a Randomized Controlled Trial

Objective

The goal of this trial is to evaluate a novel intervention designed to improve post-hospitalization support for older adults with chronic conditions via: (a) direct tailored communication to patients using regular automated calls post discharge, (b) support for informal caregivers outside of the patient’s household via structured automated feedback about the patient’s status plus advice about how caregivers can help, and (c) support for care management including a web-based disease management tool and alerts about potential problems.

Methods

846 older adults with common chronic conditions are being identified upon hospital admission. Patients are asked to identify a “CarePartner” (CP) living outside their household, i.e., an adult child or other social network member willing to play an active role in their post-discharge transition support. Patient-CP pairs are randomized to the intervention or usual care. Intervention patients receive automated assessment and behavior change calls, and their CPs receives structured feedback and advice via email and automated calls following each assessment. Clinical teams have access to assessment results via the web and receive automated reports about urgent health problems. Patients complete surveys at baseline, 30 days, and 90 days post discharge; utilization data is obtained from hospital records. CPs, other caregivers, and clinicians are interviewed to evaluate intervention effects on processes of self-care support, caregiver stress and communication, and the intervention’s potential for broader implementation. The primary outcome is 30-day readmission rates; other outcomes measured at 30 days and 90 days include functional status, self-care behaviors, and mortality risk.

Conclusion

This trial uses accessible health technologies and coordinated communication among informal caregivers and clinicians to fill the growing gap between what discharged patients need and available resources. A unique feature of the intervention is the provision of transition support not only for patients but also for their informal caregivers.