Investing in Post-Acute Care Transitions: Electronic Information Exchange Between Hospitals and Long-Term Care Facilities

Background

Electronic health information exchange (HIE) is expected to help improve care transitions from hospitals to long-term care (LTC) facilities. We know little about the prevalence of hospital LTC HIE in the United States and what contextual factors may motivate or constrain this activity.

Variation in 30-Day Readmission Rates from Inpatient Rehabilitation Facilities to Acute Care Hospitals

ObjectivesTo quantify the rate of readmission from inpatient rehabilitation facilities (IRFs) to acute care hospitals (ACHs) during the first 30 days of rehabilitation stay. To measure variation in 30-day readmission rate across IRFs, and the extent that patient and facility characteristics contribute to this variation.DesignRetrospective analysis of an administrative database.Setting and ParticipantsAdult IRF discharges from 944 US IRFs captured in the Uniform Data System for Medical Rehabilitation database between October 1, 2015 and December 31, 2017.MethodsMultilevel logistic regression was used to calculate adjusted rates of readmission within 30 days of IRF admission and examine variation in IRF readmission rates, using patient and facility-level variables as predictors.ResultsThere were a total of 104,303 ACH readmissions out of a total of 1,102,785 IRFs discharges. The range of 30-day readmission rates to ACHs was 0.0%‒28.9% (mean = 8.7%, standard deviation = 4.4%). The adjusted readmission rate variation narrowed to 2.8%‒17.5% (mean = 8.7%, standard deviation = 1.8%). Twelve patient-level and 3 facility-level factors were significantly associated with 30-day readmission from IRF to ACH. A total of 82.4% of the variance in 30-day readmission rate was attributable to the model predictors.Conclusions and ImplicationsFifteen patient and facility factors were significantly associated with 30-day readmission from IRF to ACH and explained the majority of readmission variance. Most of these factors are nonmodifiable from the IRF perspective. These findings highlight that adjusting for these factors is important when comparing readmission rates between IRFs.     

Trends in Post-Acute Care Utilization During the COVID-19 Pandemic

ObjectiveTo examine the effect of the COVID-19 pandemic on post-acute care utilization and spending.DesignWe used a large national multipayer claims data set from January 2019 through October 2020 to examine trends in posthospital discharge location and spending.Setting and participantsWe identified and included 975,179 hospital discharges who were aged ≥65 years.MethodsWe summarized postdischarge utilization and spending in each month of the study: (1) the percentage of patients discharged from the hospital to home for self-care and to the 3 common post-acute care locations: home with home health, skilled nursing facility (SNF), and inpatient rehabilitation; (2) the rate of discharge to each location per 100,000 insured members in our cohort; (3) the total amount spent per month in each post-acute care location; and (4) the percentage of spending in each post-acute care location out of the total spending across the 3 post-acute care settings.ResultsThe percentage of patients discharged from the hospital to home or to inpatient rehabilitation did not meaningfully change during the pandemic whereas the percentage discharged to SNF declined from 19% of discharges in 2019 to 14% by October 2020. Total monthly spending declined in each of the 3 post-acute care locations, with the largest relative decline in SNFs of 55%, from an average of $42 million per month in 2019 to $19 million in October 2020. Declines in total monthly spending were smaller in home health (a 41% decline) and inpatient rehabilitation (a 32% decline). As a percentage of all post-acute care spending, spending on SNFs declined from 39% to 31%, whereas the percentage of post-acute care spending on home health and inpatient rehabilitation both increased.Conclusions and ImplicationsChanges in posthospital discharge location of care represent a significant shift in post-acute care utilization, which persisted 9 months into the pandemic. These shifts could have profound implications on the future of post-acute care.     

Impact of Contextual Factors on Interventions to Reduce Acute Care Transfers II Implementation and Hospital Readmission Rates

Objectives

Identify contextual and implementation factors impacting the effectiveness of an organizational-level intervention to reduce preventable hospital readmissions from affiliated skilled nursing facilities (SNFs).

Hospital Readmissions Reduction Program and Post-Acute Care: Implications for Service Delivery and 30-Day Hospital Readmission

ObjectivesExamine whether the introduction of the Hospital Readmissions Reduction Program (HRRP) is associated with changes in post-acute care (PAC) use and 30-day readmission.DesignA retrospective cohort study examined data prepassage, preimplementation, and postimplementation of the HRRP.Setting and ParticipantsIn total, 7,851,430 Medicare beneficiaries discharged from 5116 acute hospitals to PAC settings including inpatient rehabilitation, skilled nursing, home health, or a long-term care hospital during 2007‒2015. We examined HRRP-targeted conditions (acute myocardial infarction, heart failure, and pneumonia) and nontargeted conditions (ischemic stroke, total hip arthroplasty/total knee arthroplasty, and hip/femur fractures).MeasuresThe hospital-level of quarterly PAC use and the association with 30-day risk-standardized readmission rates. Outcomes were calculated for HRRP-targeted and nontargeted conditions/diagnoses across 3 phases of HRRP implementation.ResultsAn increase in quarterly PAC use was significantly (P < .001) associated with a decrease in 30-day risk-standardized readmission rates for acute myocardial infarction, heart failure, and hip/femur fracture. In contrast, an increase in quarterly PAC use was significantly associated with an increase in readmission rate for total hip arthroplasty/total knee arthroplasty (P < 001). PAC quarterly use and readmission rates varied significantly during implementation periods for HRRP- targeted and nontargeted conditions.Conclusions and ImplicationsThe impact on readmission after PAC for selected impairment groups may be mediated by the type of PAC services received and whether the diagnoses is included in the HRRP. Additional research is necessary to determine if a reduction in readmission is associated with inclusion in the HRRP or is a side effect related to diagnostic group and/or type of PAC services received.     

Timeliness of Outpatient Follow-up: An Evidence-Based Approach for Planning After Hospital Discharge

PURPOSE

Timely outpatient follow-up has been promoted as a key strategy to reduce hospital readmissions, though one-half of patients readmitted within 30 days of hospital discharge do not have follow-up before the readmission. Guidance is needed to identify the optimal timing of hospital follow-up for patients with conditions of varying complexity.

METHODS

Using North Carolina Medicaid claims data for hospital-discharged patients from April 2012 through March 2013, we constructed variables indicating whether patients received follow-up visits within successive intervals and whether these patients were readmitted within 30 days. We constructed 7 clinical risk strata based on 3M Clinical Risk Groups (CRGs) and determined expected readmission rates within each CRG. We applied survival modeling to identify groups that appear to benefit from outpatient follow-up within 3, 7, 14, 21, and 30 days after discharge.

RESULTS

The final study sample included 44,473 Medicaid recipients with 65,085 qualifying discharges. The benefit of early follow-up varied according to baseline readmission risk. For example, follow-up within 14 days after discharge was associated with 1.5%-point reduction in readmissions in the lowest risk strata (P <.001) and a 19.1%-point reduction in the highest risk strata (P <.001). Follow-up within 7 days was associated with meaningful reductions in readmission risk for patients with multiple chronic conditions and a greater than 20% baseline risk of readmission, a group that represented 24% of discharged patients.

CONCLUSIONS

Most patients do not meaningfully benefit from early outpatient follow-up. Transitional care resources would be best allocated toward ensuring that highest risk patients receive follow-up within 7 days.     

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.

Rapid Changes in the Provision of Rehabilitation Care in Post-Acute and Long-Term Care Settings During the COVID-19 Pandemic

ObjectivesLittle is known about how the COVID-19 pandemic has affected rehabilitation care in post-acute and long-term care. As part of a process to assess research priorities, we surveyed professionals in these settings to assess the impact of the pandemic and related research needs.DesignQualitative analysis of open-ended survey results.Setting and Participants30 clinical and administrative staff working in post-acute and long-term care.MethodsFrom June 24 through July 10, 2020, we used professional connections to disseminate an electronic survey to a convenience sample of clinical and administrative staff. We conducted an inductive thematic analysis of the data.ResultsWe identified 4 themes, related to (1) rapid changes in care delivery, (2) negative impact on patients’ motivation and physical function, (3) new access barriers and increased costs, and (4) uncertainty about sustaining changes in delivery and payment. Rapid changes: Respondents described how infection control policies and practices shifted rehabilitation from group sessions and communal gyms to the bedside and telehealth. Negative impact: Respondents felt that patients’ isolation, particularly in residential care settings, affected their motivation for rehabilitation and their physical function. Access and costs: Respondents expressed concerns about increased costs (eg, for personal protective equipment) and decreased patient volume, as well as access issues. Uncertainty: At the same time, respondents described how telehealth and Medicare waivers enabled new ways to connect with patients and wondered whether waivers would be extended after the public health emergency.Conclusions and ImplicationsSurvey results highlight rapid changes to rehabilitation in post-acute and long-term care during the height of the COVID-19 pandemic. Because staff vaccine coverage remains low and patients vulnerable in residential care settings, changes such as infection precautions are likely to persist. Future research should evaluate the impact on care, outcomes, and costs.     

Reducing Hospital Readmissions Through a Skilled Nursing Facility Discharge Intervention: A Pragmatic Trial

ObjectiveTo determine if implementation of Project Re-Engineered Discharge (RED), designed for hospitals but adapted for skilled nursing facilities (SNFs), reduces hospital readmissions after SNF discharge to the community in residents admitted to the SNF following an index hospitalization.DesignA pragmatic trial.Setting and participantsSNFs in southeastern Massachusetts, and residents discharged to the community.MethodsWe compared SNFs that deployed an adapted RED intervention to a matched control group from the same region. The primary outcome was hospital readmission within 30 days after SNF discharge, among residents who had been admitted to the SNF following an index hospitalization and then discharged home. January 2016 through March 2017 was the baseline period; April 2017 through June 2018 was the follow-up period (after implementation of the intervention). We used a difference-in-differences analysis to compare the intervention SNFs to the control group, using generalized estimating equation regression and controlling for facility characteristics.ResultsAfter implementation of RED, readmission rates were lower across all 4 measures in the intervention group; control facilities’ readmission rates remained stable or increased. The relative decrease was 0.9% for the primary outcome of hospital readmission within 30 days after SNF discharge and 1.7% for readmission within 30 days of the index hospitalization discharge date (P ≤ .001 for both comparisons).Conclusions and ImplicationsWe found that a systematic discharge process developed for the hospital can be adapted to the SNF environment and can reduce readmissions back to the hospital, perhaps through improved self-management skills and better engagement with community services. This work is particularly timely because of Medicare's new Value-Based Purchasing Program, in which nursing homes can receive incentive payments if their hospital readmission rates are low relative to their peers. To verify its scalability and broad potential, RED should be validated across a broader diversity of SNFs nationally.     

Identifying Risk of Hospital Readmission Among Medicare Aged Patients: An Approach Using Routinely Collected Data

Readmission provisions in the Patient Protection and Affordable Care Act of March 2010 have created urgent fiscal accountability requirements for hospitals, dependent upon a better understanding of their specific populations, along with development of mechanisms to easily identify these at-risk patients. Readmissions are disruptive and costly to both patients and the health care system. Effectively addressing hospital readmissions among Medicare aged patients offers promising targets for resources aimed at improved quality of care for older patients. Routinely collected data, accessible via electronic medical records, were examined using logistic models of sociodemographic, clinical, and utilization factors to identify predictors among patients who required rehospitalization within 30 days. Specific comorbidities and discharge care orders in this urban, nonprofit hospital had significantly greater odds of predicting a Medicare aged patient's risk of readmission within 30 days.     

Post-Acute Care for Older People Following Injury: A Randomized Controlled Trial

ObjectivesThe study sought to determine whether older people, on discharge from hospital and on referral to a supported discharge team (SDT), will have: (1) reduced length of stay in hospital; (2) reduced risk of hospital readmission; and (3) reduced healthcare costs.Design/InterventionRandomized controlled trial with follow-up at 4 and 12 months of post-acute home-based rehabilitation team (SDT). Programs were delivered by trained healthcare assistants, up to 4 times a day, 7 days a week, under the guidance of registered nurses, allied health, and geriatricians for up to 6 weeks.Participants/SettingA total of 303 older women and 100 older men (mean age 81) in hospital because of injury, were randomized to either SDT (n = 201) or usual care (n = 202). The intervention was operated from Waikato hospital, a regional hospital in New Zealand.MethodsDays spent in hospital in the year following randomization and healthcare costs were collected from hospital datasets, and functional status assessed using the interRAI Contact Assessment was gathered by health professional research associates.ResultsParticipants randomized to the SDT spent less time in hospital in the period immediately prior to discharge (mean 20.9 days) in comparison to usual care (mean 26.6 days) and spent less time in hospital in the 12 months following discharge home. Healthcare costs were lower in the SDT group in the 12 months following randomization.Conclusions/ImplicationsSDT can provide an important role in reducing hospital length of stay and readmissions of older people following an injury. Almost a million older people (65+ years of age) a year in the US are hospitalized as a consequence of falls-related injuries, most often fractured hip. Hospitals are not always the best location to provide care for older people. SDTs can help with the transition from hospital to home, while reducing hospital length-of-stay.     

Post-Acute Care in Inpatient Rehabilitation Facilities Between Traditional Medicare and Medicare Advantage Plans Before and During the COVID-19 Pandemic

ObjectivesCompare post-acute care (PAC) utilization and outcomes in inpatient rehabilitation facilities (IRF) between beneficiaries covered by Traditional Medicare (TM) and Medicare Advantage (MA) plans during the COVID-19 pandemic relative to the previous year.DesignThis multiyear cross-sectional study used Inpatient Rehabilitation Facility–Patient Assessment Instrument (IRF-PAI) data to assess PAC delivery from January 2019 to December 2020.Setting and ParticipantsInpatient rehabilitation for stroke, hip fracture, joint replacement, and cardiac and pulmonary conditions among Medicare beneficiaries 65 years or older.MethodsPatient-level multivariate regression models with difference-in-differences approach were used to compare TM and MA plans in length of stay (LOS), payment per episode, functional improvements, and discharge locations.ResultsA total of 271,188 patients were analyzed [women (57.1%), mean (SD) age 77.8 (0.06) years], among whom 138,277 were admitted for stroke, 68,488 hip fracture, 19,020 joint replacement, and 35,334 cardiac and 10,069 pulmonary conditions. Before the pandemic, MA beneficiaries had longer LOS (+0.22 days; 95% CI: 0.15–0.29), lower payment per episode (−$361.05; 95% CI: −573.38 to −148.72), more discharges to home with a home health agency (HHA) (48.9% vs 46.6%), and less to a skilled nursing facility (SNF) (15.7% vs 20.2%) than TM beneficiaries. During the pandemic, both plan types had shorter LOS (−0.68 day; 95% CI: 0.54–0.84), higher payment (+$798; 95% CI: 558–1036), increased discharges to home with an HHA (52.8% vs 46.6%), and decreased discharges to an SNF (14.5% vs 20.2%) than before. Differences between TM and MA beneficiaries in these outcomes became smaller and less significant. All results were adjusted for beneficiary and facility characteristics.Conclusions and ImplicationsAlthough the COVID-19 pandemic affected PAC delivery in IRF in the same directions for both TM and MA plans, the timing, time duration, and magnitude of the impacts were different across measures and admission conditions. Differences between the 2 plan types shrank and performance across all dimensions became more comparable over time.     

Coordinated-Transitional Care (C-TraC) for Veterans from Subacute Rehabilitation to Home

ObjectivesTo adapt a successful acute care transitional model to meet the needs of veterans transitioning from post-acute care to home.DesignQuality improvement intervention.Setting and ParticipantsVeterans discharged from a subacute care unit in the VA Boston Healthcare System's skilled nursing facility.MethodsWe used the Replicating Effective Programs framework and Plan-Do-Study-Act cycles to adapt the Coordinated-Transitional Care (C-TraC) program to the context of transitions from a VA subacute care unit to home. The major adaptation of this registered nurse–driven, telephone-based intervention was combining the roles of discharge coordinator and transitional care case manager. We report the details of the implementation, its feasibility, and results of process measures, and describe its preliminary impact.ResultsBetween October 2021 and April 2022, all 35 veterans who met eligibility criteria in the VA Boston Community Living Center (CLC) participated; none were lost to follow-up. The nurse case manager delivered core components of the calls with high fidelity—review of red flags, detailed medication reconciliation, follow-up with primary care physician, and discharge services were discussed and documented in 97.9%, 95.9%, 86.8%, and 95.9%, respectively. CLC C-TraC interventions included care coordination, patient and caregiver education, connecting patients to resources, and addressing medication discrepancies. Nine medication discrepancies were discovered in 8 patients (22.9%; average of 1.1 discrepancies per patient). Compared with a historical cohort of 84 veterans, more CLC C-TraC patients received a post-discharge call within 7 days (82.9% vs 61.9%; P = .03). There was no difference between rates of attendance to appointments and acute care admissions post-discharge.Conclusions and ImplicationsWe successfully adapted the C-TraC transitional care protocol to the VA subacute care setting. CLC C-TraC resulted in increased post-discharge follow-up and intensive case management. Evaluation of a larger cohort to determine its impact on clinical outcomes such as readmissions is warranted.