Post‐Acute Care Locations: Hospital Discharge Destination Reports vs Medicare Claims

Use of Muscle Relaxants After Surgery in Traditional Medicare Part D Enrollees

BACKGROUND

Surgeons have come under increased scrutiny for postoperative pain management, particularly for opioid prescribing. To decrease opioid use but still provide pain control, nonopioid medications such as muscle relaxants are being used, which can be harmful in older adults. However, the prevalence of muscle relaxant prescribing, trends in use over time, and risk of prolonged use are unknown.

STUDY DESIGN

Using a 20% representative Medicare sample, we conducted a retrospective analysis of muscle relaxant prescribing to patients ≥ 65 years of age. We merged patient data from Medicare Carrier, MedPAR, and Outpatient Files with Medicare Part D for the years 2013-2018. A total of 14 surgical procedures were included to represent a wide range of anatomic regions and specialties.

RESULTS

The study cohort included 543,929 patients. Of the cohort, 8111 (1.5%) received a new muscle relaxant prescription at discharge. Spine procedures accounted for 12% of all procedures but 56% of postoperative prescribing. Overall, the rate of prescribing increased over the time period (1.4-2.0%, p < 0.001), with increases in prescribing primarily in the spine (7-9.6%, p < 0.0001) and orthopedic procedure groups (0.9-1.4%, p < 0.0001). Of patients discharged with a new muscle relaxant prescription, 10.7% had prolonged use.

CONCLUSIONS

The use of muscle relaxants in the postoperative period for older adults is low, but increasing over time, especially in ortho and spine procedures. While pain control after surgery is crucial, surgeons should carefully consider the risks of muscle relaxant use, especially for older adults who are at higher risk for medication-related problems.

Hospital safety-net status and postdischarge outcomes: The impact of socioeconomic status and Medicare post-acute care types

AIM

To examine the impact of socioeconomic status (SES) and postacute care (PAC) locations on the association between hospital safety-net status and 30-day postdischarge outcomes (readmission, hospice use, or death).

METHOD

Medicare Current Beneficiary Survey (MCBS) participants during 2006-2011 who were Medicare Fee-for-Service beneficiaries aged 65.5 years or older were included. The associations between hospital safety-net status and 30-day post-discharge outcomes were evaluated by comparing the models with and without PAC and SES adjustments. Safety-net hospital status was defined as being in the top 20% of hospitals ranked by hospital-level percent of total Medicare patient days. SES was measured using individual-level SES (dual eligibility, income, and education) and the Area Deprivation Index (ADI).

RESULTS

This study identified 13,173 index hospitalizations for 6,825 patients; 1,428 hospitalizations (11.8%) were in safety-net hospitals. The average unadjusted 30-day hospital readmission rate was 22.6% in safety-net hospitals versus 18.8% in nonsafety-net hospitals. Regardless of whether patient SES status was controlled or not, safety-net hospitals had higher estimated probabilities of 30-day readmission (ranging from 0.217 to 0.222 vs. 0.184 to 0.189), and lower probabilities for having neither readmission nor hospice/death (0.750-0.763 vs. 0.780-0.785); for models additionally adjusted for PAC types, safety-net patients had lower rates of hospice use or death (0.019-0.027 vs. 0.030-0.031).

CONCLUSIONS

The results suggested that safety-net hospitals had lower hospice/death rates but higher readmission rates relative to outcomes at nonsafety-net hospitals. Readmission rate differences were similar regardless of patients' SES status. However, the rate of hospice referral or death rate was related to SES, which suggested that the outcomes were affected by SES and PAC types.

Prolonged use of newly prescribed gabapentin after surgery

BACKGROUND

Surgeons have made substantial efforts to decrease postoperative opioid prescribing, largely because it can lead to prolonged use. These efforts include adoption of non-opioid pain medication including gabapentin. Like opioids, gabapentin use may be prolonged, increasing the risk of altered mental status and even overdose and death when taken concurrently with opioids. However, little is known about postoperative prolonged use of gabapentin in older adults.

METHODS

We merged a 20% sample of Medicare Carrier, MedPAR and Outpatient Files with Part D for 2013-2018. We included patients >65 years old without prior gabapentinoid use who underwent common non-cataract surgical procedures. We defined new postoperative gabapentin as fills for 7 days before surgery until 7 days after discharge. We excluded patients whose discharge disposition was hospice or death. The primary outcome was prolonged use of gabapentin, defined as a fill>90 days after discharge. To identify risk factors for prolonged use, we constructed logistic regression models, adjusted for procedure and patient characteristics, length of stay, disposition location, and care complexity.

RESULTS

Overall, 17,970 patients (3% of all eligible patients) had a new prescription for gabapentin after surgery. Of these, the mean age was 73 years old and 62% were female. The most common procedures were total knee (45%) and total hip (21%) replacements. Prolonged use occurred in 22%. Those with prolonged use were more likely to be women (64% vs. 61%), be non-White (14% vs. 12%), have concurrent prolonged opioid use (44% vs. 18%), and have undergone emergency surgery (8% vs. 4%). On multivariable analysis, being female, having a higher Charlson comorbidity score, having an opioid prescription at discharge and at >90 days and having a higher care complexity were associated with prolonged use of gabapentin.

CONCLUSIONS

More than one-fifth of older adults prescribed gabapentin postoperatively filled a prescription >90 days after discharge, especially among patients with more comorbidities and concurrent prolonged opioid use, increasing the risk of adverse drug events and polypharmacy.

Barriers and Facilitators to Family Caregiver Training during Home Health Care: A Multi-Site Qualitative Analysis

Background

During Medicare home health care (HHC), family caregiver assistance is often integral to implementing the care plan and avoiding readmission. Family caregiver training delivered by HHC clinicians (nurses and physical therapists [PTs]) helps ensure caregivers' ability to safely assist when HHC staff are not present. Yet, family caregiver training needs often go unmet during HHC, increasing the risk of adverse patient outcomes. There is a critical knowledge gap regarding challenges HHC clinicians face in providing necessary family caregiver training.

Methods

Multisite qualitative study using semi‐structured, in‐depth key informant interviews with Registered Nurses (n = 11) and PTs (n = 8) employed by four HHC agencies. Participating agencies were diverse in rurality, scale, ownership, and geographic region. Key informant interviews were audio‐recorded, transcribed, and analyzed using directed content analysis to identify existing facilitators and barriers to family caregiver training during HHC.

Results

Clinicians had an average of 9.3 years (range = 1.5–23 years) experience in HHC, an average age of 45.1 years (range = 28–63 years), and 95% were female. Clinicians identified facilitators and barriers to providing family caregiver training at the individual, interpersonal, and structural levels. The most salient factors included clinician–caregiver communication and rapport, accuracy of hospital discharge information, and access to resources such as additional visits and social work consultation. Clinicians noted the COVID‐19 pandemic introduced additional challenges to providing family caregiver training, including caregivers' reduced access to hospital staff prior to discharge.

Conclusions

HHC clinicians identified a range of barriers and facilitators to delivering family caregiver training during HHC; particularly highlighting the role of clinician–caregiver communication. To support caregiver training in this setting, there is a need for updated reimbursement structures supporting greater visit flexibility, improved discharge communication between hospital and HHC, and structured communication aids to facilitate caregiver engagement and assessment.

Variations in Discharge Destination Following Severe TBI across the United States

BACKGROUND

Discharge destination after traumatic brain injury (TBI) may be influenced by non-patient factors such as regional or institutional practice patterns. We hypothesized that non-patient factors would be associated with discharge destination in severe TBI patients.

METHODS

All patients in the ACS Trauma Quality Improvement Program 2016 data set with severe TBI, defined as head Abbreviated Injury Scale ≥3, were categorized by discharge destination. Logistic regression was used to assess factors associated with each destination; odds ratios and 95% confidence level are reported. Regressions were adjusted for age, gender, race, insurance, GCS, ISS, polytrauma, mechanism, neurosurgical procedure, geographic region, teaching status, trauma center level, hospital size, and neurosurgeon group size.

RESULTS

75,690 patients met inclusion criteria. 51% were discharged to home, 16% to rehab, 14% to SNF, and 11% deceased. Mortality was similar across geographic region, teaching status, and hospital size. Southern patients were more likely to be discharged to home while Northeastern patients were more likely to be discharged to rehab. Treatment by groups of 3 or more neurosurgeons was associated with SNF discharge as was treatment at community or non-teaching hospitals. Patients treated at larger hospitals were less likely to be discharged to rehab and more likely to go to SNF.

CONCLUSIONS

Geographic region, neurosurgeon group size, teaching status, and hospital size are significantly associated with variation in discharge destination following severe TBI. Regional and institutional variation in practice patterns may play important roles in recovery for some patients with severe TBI.

Understanding Variation in Postacute Care: Developing Rehabilitation Service Areas Through Geographic Mapping

OBJECTIVE

The aims of the study were to demonstrate a method for developing rehabilitation service areas and to compare service areas based on postacute care rehabilitation admissions to service areas based on acute care hospital admissions.

DESIGN

We conducted a secondary analysis of 2013-2014 Medicare records for older patients in Texas (N = 469,172). Our analysis included admission records for inpatient rehabilitation facilities, skilled nursing facilities, long-term care hospitals, and home health agencies. We used Ward's algorithm to cluster patient ZIP Code Tabulation Areas based on which facilities patients were admitted to for rehabilitation. For comparison, we set the number of rehabilitation clusters to 22 to allow for comparison to the 22 hospital referral regions in Texas. Two methods were used to evaluate rehabilitation service areas: intraclass correlation coefficient and variance in the number of rehabilitation beds across areas.

RESULTS

Rehabilitation service areas had a higher intraclass correlation coefficient (0.081 vs. 0.076) and variance in beds (27.8 vs. 21.4). Our findings suggest that service areas based on rehabilitation admissions capture has more variation than those based on acute hospital admissions.

CONCLUSIONS

This study suggests that the use of rehabilitation service areas would lead to more accurate assessments of rehabilitation geographic variations and their use in understanding rehabilitation outcomes.

Association of Depression with In-Patient and Post-Discharge Disposition and Expenditures Among Medicare Beneficiaries Undergoing Resection for Cancer

BACKGROUND

The impact of depression on utilization of post-discharge care and overall episode of care expenditures remains poorly defined. We sought to define the impact of depression on postoperative outcomes, including discharge disposition, as well as overall expenditures associated with the global episode of surgical care.

METHOD

The Medicare 100% Standard Analytic Files were used to identify patients undergoing resection for esophageal, colon, rectal, pancreatic, and liver cancer between 2013 and 2017. The impact of depression on inpatient outcomes, as well as home health care and skilled nursing facilities utilization and expenditures, was analyzed.

RESULTS

Among 113,263 patients, 14,618 (12.9%) individuals had depression. Patients with depression were more likely to experience postoperative complications (odds ratio [OR] 1.36, 95% confidence interval [CI] 1.31-1.42), extended length of stay (LOS) (OR 1.41, 95% CI 1.36-1.47), readmission within 90 days (OR 1.20, 95% CI 1.14-1.25), as well as 90-day mortality (OR 1.35, 95% CI 1.27-1.42) (all p < 0.05). In turn, the proportion of patients who achieved a textbook outcome following cancer surgery was lower among patients with depression (no depression: 53.3% vs. depression: 45.3%; OR 0.70, 95% CI 0.68-0.73). Patients with a preexisting diagnosis of depression had higher odds of additional post-discharge expenditures compared with individuals without a diagnosis of depression (OR 1.42; 95% CI 1.35-1.50); patients with a preexisting diagnosis of depression ($10,500, IQR $3,200-$22,500) had higher median post-discharge expenditures versus patients without depression ($6600, IQR $2100-$17,400) (p < 0.001). On multivariable analysis, after controlling for other factors, depression remained associated with a 19.0% (95% confidence interval [CI] 15.7-22.3%) increase in post-discharge expenditures.

CONCLUSIONS

Patients with depression undergoing resection for cancer had worse in-patient outcomes and were less likely to achieve a TO. Patients with depression were more likely to require post-discharge care and had higher post-discharge expenditures.

Post-acute care use patterns among Hospital Service Areas by older adults in the United States: a cross-sectional study

BACKGROUND

Despite the success of stroke rehabilitation services, differences in service utilization exist. Some patients with stroke may travel across regions to receive necessary care prescribed by their physician. It is unknown how availability and combinations of post-acute care facilities in local healthcare markets influence use patterns. We present the distribution of skilled nursing, inpatient rehabilitation, and long-term care hospital services across Hospital Service Areas among a national stroke cohort, and we describe drivers of post-acute care service use.

METHODS

We extracted data from 2013 to 2014 of a national stroke cohort using Medicare beneficiaries (174,498 total records across 3232 Hospital Service Areas). Patients' ZIP code of residence was linked to the facility ZIP code where care was received. If the patient did not live in the Hospital Service Area where they received care, they were considered a "traveler". We performed multivariable logistic regression to regress traveling status on the care combinations available where the patient lived.

RESULTS

Although 73.4% of all Hospital Service Areas were skilled nursing-only, only 23.5% of all patients received care in skilled nursing-only Hospital Service Areas; 40.8% of all patients received care in Hospital Service Areas with only inpatient rehabilitation and skilled nursing, which represented only 18.2% of all Hospital Service Areas. Thirty-five percent of patients traveled to a different Hospital Service Area from where they lived. Regarding "travelers," for those living in a skilled nursing-only Hospital Service Area, 49.9% traveled for care to Hospital Service Areas with only inpatient rehabilitation and skilled nursing. Patients living in skilled nursing-only Hospital Service Areas had more than five times higher odds of traveling compared to those living in Hospital Service Areas with all three facilities.

CONCLUSIONS

Geographically, the vast majority of Hospital Service Areas in the United States that provided rehabilitation services for stroke survivors were skilled nursing-only. However, only about one-third lived in skilled nursing-only Hospital Service Areas; over 35% traveled to receive care. Geographic variation exists in post-acute care; this study provides a foundation to better quantify its drivers. This study presents previously undescribed drivers of variation in post-acute care service utilization among Medicare beneficiaries-the "traveler effect".

Incomplete Home Health Care Referral After Hospitalization Among Medicare Beneficiaries

OBJECTIVES

Patients who are referred to home health care after an acute care hospitalization may not receive home health care, resulting in incomplete home health referrals. This study examines the prevalence of incomplete referrals to home health, defined as not receiving home health care within 7 days after an initial hospital discharge, and investigates the relationship between home health referral completion and patient outcomes.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Medicare beneficiaries who are discharged from short-term acute care hospitals between October 2015 and December 2016 with a discharge status code on the hospital claim indicating home health care.

METHODS

Patient characteristics and outcomes were compared between Medicare beneficiaries with complete and incomplete home health referrals after hospital discharge. The outcomes included mortality, readmission rate, and total spending over a 1-year episode following hospitalization. These outcomes were risk-adjusted using patient demographic, socioeconomic, clinical characteristic, hospital characteristic, and state fixed effects.

RESULTS

Approximately 29% of the 724,700 hospitalizations in the analytic dataset had incomplete home health referrals after discharge. The rate of incomplete home health referrals varied among clinical conditions, ranging from 17% among joint/musculoskeletal patients and 38% among digestive/endocrine patients. Risk-adjusted 1-year mortality and readmission rates were 1.4 and 2.4 percentage points lower and total spending was $1053 higher among patients with complete home health referrals as compared with those with incomplete home health referrals after hospital discharge.

CONCLUSIONS AND IMPLICATIONS

The analysis revealed that almost 1 in 3 patients discharged from a hospital with a discharge status of home health does not receive home health care. In addition, complete home health referrals are associated with lower mortality and readmission rates and higher spending. As home health care utilization increases, policymakers should pay attention to the tradeoff between quality and cost when implementing alternative policies and payment models.

Assessment of Receipt of the First Home Health Care Visit After Hospital Discharge Among Older Adults

Importance

Home health care is one of the fastest growing postacute services in the US and is increasingly important in the era of coronavirus disease 2019 and payment reform, yet it is unknown whether patients who need home health care are receiving it.

Objective

To examine how often patients referred to home health care at hospital discharge receive it and whether there is evidence of disparities.

Design, Setting, and Participants

This cross-sectional study used Medicare data regarding the postacute home health care setting from October 1, 2015, through September 30, 2016. The participants were Medicare fee-for-service and Medicare Advantage beneficiaries who were discharged alive from a hospital with a referral to home health care (2 379 506 discharges). Statistical analysis was performed from July 2019 to June 2020.

Exposures

Hospital referral to home health care.

Main Outcomes and Measures

Primary outcomes included whether discharges received their first home health care visit within 14 days of hospital discharge and the number of days between hospital discharge and the first home health visit. Differences in the likelihood of receiving home health care across patient, zip code, and hospital characteristics were also examined.

Results

Among 2 379 506 discharges from the hospital with a home health care referral, 1 358 697 patients (57.1%) were female, 468 762 (19.7%) were non-White, and 466 383 (19.6%) were dually enrolled in Medicare and Medicaid; patients had a mean (SD) age of 73.9 (11.9) years and 4.1 (2.1) Elixhauser comorbidities. Only 1 284 300 patients (54.0%) discharged from the hospital with a home health referral received home health care services within 14 days of discharge. Of the remaining 1 095 206 patients (46.0%) discharged, 37.7% (896 660 discharges) never received any home health care, while 8.3% (198 546 discharges) were institutionalized or died within 14 days without a preceding home health care visit. Patients who were Black or Hispanic received home health at lower rates than did patients who were White (48.0% [95% CI, 47.8%-48.1%] of Black and 46.1% [95% CI, 45.7%-46.5%] of Hispanic discharges received home health within 14 days compared with 55.3% [95% CI, 55.2%-55.4%] of White discharges). In addition, disadvantaged patients waited longer for their first home health care visit. For example, patients living in high-unemployment zip codes waited a mean of 2.0 days (95% CI, 2.0-2.0 days), whereas those living in low-unemployment zip codes waited 1.8 days (95% CI, 1.8-1.8 days).

Conclusions and Relevance

Disparities in the use of home health care remain an issue in the US. As home health care is increasingly presented as a safer alternative to institutional postacute care during coronavirus disease 2019, and payment reforms continue to pressure hospitals to discharge patients home, ensuring the availability of safe and equitable care will be crucial to maintaining high-quality care.