Timing of Home Health Care Initiation and 30-Day Rehospitalizations among Medicare Beneficiaries with Diabetes by Race and Ethnicity

Caregiver recruitment strategies for interventions designed to optimize transitions from hospital to home: lessons from a randomized trial

Challenges to recruitment of family caregivers exist and are amplified when consent must occur in the context of chaotic healthcare circumstances, such as the transition from hospital to home. The onset of the COVID-19 pandemic during our randomized controlled trial provided an opportunity for a natural experiment exploring and examining different consent processes for caregiver recruitment. The purpose of this publication is to describe different recruitment processes (in-person versus virtual) and compare diversity in recruitment rates in the context of a care recipient's hospitalization. We found rates of family caregiver recruitment for in-person versus virtual were 28% and 23%, respectively (p = 0.01). Differences existed across groups with family caregivers recruited virtually being more likely to be younger, white, have greater than high school education, and not be a spouse or significant other to the care recipient, such as a child. Future work is still needed to identify the modality and timing of family caregiver recruitment to maximize rates and enhance the representativeness of the population for equitable impact.

Claims-Based vs Agency-Reported Patient Outcomes Among Home Health Agencies, 2013-2019

Importance

Given the growth of home health agency (HHA) care, it is important to understand whether quality reporting programs, such as star ratings, are associated with improved patient outcomes.

Objective

To assess the immediate and long-term association of the introduction of HHA star ratings with patient-level quality outcomes, comparing claims-based and agency-reported measures.

Design, Setting, and Participants

This cross-sectional study used Medicare HHA claims and agency-reported assessments to identify sequential patient episodes (ie, spells) among US adults with traditional Medicare who received HHA care (2013-2019). An interrupted time series (ITS) model was used to measure changes in trends and levels before and after the introduction of star ratings. Statistical analysis was performed from November 2022 to September 2023.

Exposure

The exposure was the introduction of HHA star ratings. The postexposure period was set as starting January 1, 2016, to account for the period when both star ratings (quality of patient care and patient satisfaction rating) were publicly reported.

Main Outcomes and Measures

The main outcomes included claims-based hospitalization measures (both during the patient spell and 30 days after HHA discharge) and agency-reported functional measures, such as improvement in ambulation, bathing, and bed transferring. There was also a measure to capture timely initiation of care among post-acute care HHA users, defined as HHA care initiated within 2 days of inpatient discharge.

Results

This study identified 22 958 847 patient spells to compare annual changes over time; 9 750 689 patient spells were included during the pre-star ratings period from January 1, 2013, to December 31, 2015 (6 067 113 [62.2%] female; 1 100 145 [11.3%] Black, 512 487 [5.3%] Hispanic, 7 845 197 [80.5%] White; 2 656 124 [27.2%] dual eligible; mean [SD] patient spell duration, 70.9 [124.9] days; mean [SD] age, 77.4 [12.0] years); 13 208 158 patient spells were included during the post-star ratings period from January 1, 2016, to December 31, 2019 (8 104 69 [61.4%] female; 1 385 180 [10.5%] Black, 675 536 [5.1%] Hispanic, 10 664 239 [80.7%] White; 3 318 113 [25.1%] dual eligible; mean [SD] patient spell duration, 65.3 [96.2] days; mean [SD] age, 77.7 [11.6] years). Results from the ITS models found that the introduction of star ratings was associated with an acceleration in the mean [SE] hospitalization rate during the spell (0.39% [0.05%] per year) alongside functional improvements in ambulation (2.40% [0.29%] per year), bed transferring (3.95% [0.48%] per year) and bathing (2.34% [0.19%] per year) (P < .001). This occurred alongside a 1.21% (0.12%) per year reduction in timely initiation of care (P < .001).

Conclusions and Relevance

This cross-sectional study found an observed improvement in agency-reported functional measures, which contrasted with slower increases in more objective measures such as hospitalization rates and declines in timely initiation of care. These findings suggest a complex picture of HHA quality of care after the introduction of star ratings.

Getting to the root: Examining within and between home health agency inequities in functional improvement

OBJECTIVE

To quantify racial, ethnic, and income-based disparities in home health (HH) patients' functional improvement within and between HH agencies (HHAs).

DATA SOURCES

2016-2017 Outcome and Assessment Information Set, Medicare Beneficiary Summary File, and Census data.

DATA COLLECTION/EXTRACTION METHODS

Not Applicable.

STUDY DESIGN

We use multinomial-logit analyses with and without HHA fixed effects. The outcome is a mutually exclusive five-category outcome: (1) any functional improvement, (2) no functional improvement, (3) death while a patient, (4) transfer to an inpatient setting, and (5) continuing HH as of December 31, 2017. The adjusted outcome rates are calculated by race, ethnicity, and income level using predictive margins.

PRINCIPAL FINDINGS

Of the 3+ million Medicare beneficiaries with a HH start-of-care assessment in 2016, 77% experienced functional improvement at discharge, 8% were discharged without functional improvement, 0.6% died, 2% were transferred to an inpatient setting, and 12% continued using HH. Adjusting for individual-level characteristics, Black, Hispanic, American Indian/Alaska Native (AIAN), and low-income HH patients were all more likely to be discharged without functional improvement (1.3 pp [95% CI: 1.1, 1.5], 1.5 pp [95% CI: 0.8, 2.1], 1.2 pp [95% CI: 0.6, 1.8], 0.7 pp [95% CI:0.5, 0.8], respectively) compared to White and higher income patients. After including HHA fixed effects, the differences for Black, Hispanic, and AIAN HH patients were mitigated. However, income-based disparities persisted within HHAs. Black-White, Hispanic-White, and AIAN-White disparities were largely driven by between-HHA differences, whereas income-based disparities were mostly due to within-HHA differences, and Asian American/Pacific Islander patients did not experience any observable disparities.

CONCLUSIONS

Both within- and between-HHA differences contribute to the overall disparities in functional improvement. Mitigating functional improvement inequities will require a diverse set of culturally appropriate and socially conscious interventions. Improving the quality of HHAs that serve more marginalized patients and incentivizing improved equity within HHAs are approaches that are imperative for ameliorating outcomes.

Associations Between Postdischarge Care and Cognitive Impairment-Related Hospital Readmissions for Ketoacidosis and Severe Hypoglycemia in Adults With Diabetes

OBJECTIVE

Patients with severe hypoglycemia (SH) or diabetic ketoacidosis (DKA) experience high hospital readmission after being discharged. Cognitive impairment (CI) may further increase the risk, especially in those experiencing an interruption of medical care after discharge. This study examined the effect modification role of postdischarge care (PDC) on CI-associated readmission risk among U.S. adults with diabetes initially admitted for DKA or SH.

RESEARCH DESIGN AND METHODS

We used the Nationwide Readmissions Database (NRD) (2016-2018) to identify individuals hospitalized with a diagnosis of DKA or SH. Multivariate Cox regression was used to compare the all-cause readmission risk at 30 days between those with and without CI identified during the initial hospitalization. We assessed the CI-associated readmission risk in the patients with and without PDC, an effect modifier with the CI status.

RESULTS

We identified 23,775 SH patients (53.3% women, mean age 65.9 ± 15.3 years) and 140,490 DKA patients (45.8% women, mean age 40.3 ± 15.4 years), and 2,675 (11.2%) and 1,261 (0.9%), respectively, had a CI diagnosis during their index hospitalization. For SH and DKA patients discharged without PDC, CI was associated with a higher readmission risk of 23% (adjusted hazard ratio [aHR] 1.23, 95% confidence interval 1.08-1.40) and 35% (aHR 1.35, 95% confidence interval 1.08-1.70), respectively. However, when patients were discharged with PDC, we found PDC was an effect modifier to mitigate CI-associated readmission risk for both SH and DKA patients (P < 0.05 for all).

CONCLUSIONS

Our results suggest that PDC can potentially mitigate the excessive readmission risk associated with CI, emphasizing the importance of postdischarge continuity of care for medically complex patients with comorbid diabetes and CI.

Association Between Hospital Participation in Value-Based Programs and Timely Initiation of Post-Acute Home Health Care, Functional Recovery, and Hospital Readmission After Joint Replacement

OBJECTIVES

This study examined the association between hospital participation in Bundled Payments for Care Improvement (BPCI) or Comprehensive Care for Joint Replacement (CJR) and the timely initiation of home health rehabilitation services for lower extremity joint replacements. Furthermore, this study examined the association between the timely initiation of home health rehabilitation services with improvement in self-care, mobility, and 90-day hospital readmission.

METHOD

This retrospective cohort study used Medicare inpatient claims and home health assessment data from 2016 to 2017 for older adults discharged to home with home health following hospitalization after joint replacement. Multilevel multivariate logistic regression was used to examine the association between hospital participation in BPCI or CJR programs and timely initiation of home health rehabilitation service. A 2-staged generalized boosted model was used to examine the association between delay in home health initiation and improvement in self-care, mobility, and 90-day risk-adjusted hospital readmission.

RESULTS

Compared with patients discharged from hospitals that did not have BPCI or CJR, patients discharged from hospitals with these programs had a lower likelihood of delayed initiation of home health rehabilitation services for both knees and hip replacement. Using propensity scores as the inverse probability of treatment weights, delay in the initiation of home health rehabilitation services was associated with lower improvement in self-care (odds ratio [OR] = 1.23; 95% CI = 1.20-1.26), mobility (OR = 1.15; 95% CI = 1.13-1.18), and higher rate of 90-day hospital readmission (OR = 1.19; 95% CI = 1.15-1.24) for knee replacement. Likewise, delayed initiation of home health rehabilitation services was associated with lower improvement in self-care (OR = 1.16; 95% CI = 1.13-1.20) and mobility (OR = 1.26; 95% CI = 1.22-1.30) for hip replacement.

CONCLUSION

Hospital participation in BPCI or comprehensive CJR was associated with early home health rehabilitation care initiation, which was further associated with significant increases in functional recovery and lower risks of hospital readmission.

IMPACT

Policy makers may consider incentivizing health care providers to initiate early home health services and care coordination in value-based payment models.

Risk factors for inpatient facility admission among home health care patients with diabetes

BACKGROUND

Home health care (HHC) patients with diabetes are at high risk for inpatient admissions.

PURPOSE

To identify variables associated with inpatient admissions among adults age ≥50 with diabetes receiving HHC in the community and in assisted living (AL).

METHODS

Retrospective HHC data (collected October 2021 to March 2022 in the Southern United States) from the Outcome and Assessment Information Set D were analyzed with logistic regression (n = 5,308 patients).

DISCUSSION

The inpatient admission rate was 29.5%. For community-dwelling patients, multiple hospitalizations, depression, limited cognitive function, decreased activities of daily living (ADL) performance, and unhealed pressure ulcer or injury ≥stage 2 were significantly associated with inpatient admission. For those in AL, multiple prior hospitalizations and decreased ability to perform ADLs were associated with inpatient admission.

CONCLUSION

Understanding risk factors for inpatient admissions among patients with diabetes can support the identification of at-risk patients and inform interventions.

Home health services for minorities in urban and rural areas with Alzheimer's and related dementia

Timely access and continuum of care in older adults with Alzheimer's Disease and Related Dementia (ADRD) is critical. This is a retrospective study on Medicare fee-for-service beneficiaries with ADRD diagnosis discharged to home with home health care following an episode of acute hospitalization. Our sample included 262,525 patients. White patients in rural areas have significantly higher odds of delay (odds ratio [OR], 1.03; 95% CI, 1.01-1.06). Black patients in urban areas (OR, 1.15; 95% CI, 1.12-1.19) and Hispanic patients in urban areas also were more likely to have a delay (OR, 1.07; 95% CI, 1.03-1.11). Black and Hispanic patients residing in urban areas had a higher likelihood of delay in home healthcare initiation following hospitalization compared to Whites residing in urban areas.

Examining the role of race and quality of home health agencies in delayed initiation of home health services for individuals with Alzheimer's disease and related dementias (ADRD)

INTRODUCTION

We examined differences in the timeliness of the initiation of home health care by race and the quality of home health agencies (HHA) among patients with Alzheimer's disease and related dementias (ADRD).

METHODS

Medicare claims and home health assessment data were used for the study cohort: individuals aged ≥65 years with ADRD, and discharged from the hospital. Home health latency was defined as patients receiving home health care after 2 days following hospital discharge.

RESULTS

Of 251,887 patients with ADRD, 57% received home health within 2 days following hospital discharge. Black patients were significantly more likely to experience home health latency (odds ratio [OR] = 1.15, 95% confidence interval [CI] = 1.11-1.19) compared to White patients. Home health latency was significantly higher for Black patients in low-rating HHA (OR = 1.29, 95% CI = 1.22-1.37) compared to White patients in high-rating HHA.

DISCUSSION

Black patients are more likely to experience a delay in home health care initiation than White patients.

Risk of Rehospitalization or Emergency Department Visit is Significantly Higher for Patients who Receive Their First Home Health Care Nursing Visit Later than 2 Days After Hospital Discharge

OBJECTIVES

This study explored the association between the timing of the first home health care nursing visits (start-of-care visit) and 30-day rehospitalization or emergency department (ED) visits among patients discharged from hospitals.

DESIGN

Our cross-sectional study used data from 1 large, urban home health care agency in the northeastern United States.

SETTING/PARTICIPANTS

We analyzed data for 49,141 home health care episodes pertaining to 45,390 unique patients who were admitted to the agency following hospital discharge during 2019.

METHODS

We conducted multivariate logistic regression analyses to examine the association between start-of-care delays and 30-day hospitalizations and ED visits, adjusting for patients' age, race/ethnicity, gender, insurance type, and clinical and functional status. We defined delays in start-of-care as a first nursing home health care visit that occurred more than 2 full days after the hospital discharge date.

RESULTS

During the study period, we identified 16,251 start-of-care delays (34% of home health care episodes), with 14% of episodes resulting in 30-day rehospitalization and ED visits. Delayed episodes had 12% higher odds of rehospitalization or ED visit (OR 1.12; 95% CI: 1.06-1.18) compared with episodes with timely care.

CONCLUSIONS AND IMPLICATIONS

The findings suggest that timely start-of-care home health care nursing visit is associated with reduced rehospitalization and ED use among patients discharged from hospitals. With more than 6 million patients who receive home health care services across the United States, there are significant opportunities to improve timely care delivery to patients and improve clinical outcomes.

A Healthcare Paradigm for Deriving Knowledge Using Online Consumers' Feedback

Home healthcare agencies (HHCAs) provide clinical care and rehabilitation services to patients in their own homes. The organization’s rules regulate several connected practitioners, doctors, and licensed skilled nurses. Frequently, it monitors a physician or licensed nurse for the facilities and keeps track of the health histories of all clients. HHCAs’ quality of care is evaluated using Medicare’s star ratings for in-home healthcare agencies. The advent of technology has extensively evolved our living style. Online businesses’ ratings and reviews are the best representatives of organizations’ trust, services, quality, and ethics. Using data mining techniques to analyze HHCAs’ data can help to develop an effective framework for evaluating the finest home healthcare facilities. As a result, we developed an automated predictive framework for obtaining knowledge from patients’ feedback using a combination of statistical and machine learning techniques. HHCAs’ data contain twelve performance characteristics that we are the first to analyze and depict. After adequate pattern recognition, we applied binary and multi-class approaches on similar data with variations in the target class. Four prominent machine learning models were considered: SVM, Decision Tree, Random Forest, and Deep Neural Networks. In the binary class, the Deep Neural Network model presented promising performance with an accuracy of 97.37%. However, in the case of multiple class, the random forest model showed a significant outcome with an accuracy of 91.87%. Additionally, variable significance is derived from investigating each attribute’s importance in predictive model building. The implications of this study can support various stakeholders, including public agencies, quality measurement, healthcare inspectors, and HHCAs, to boost their performance. Thus, the proposed framework is not only useful for putting valuable insights into action, but it can also help with decision-making.

Assessing the influence of patient language preference on 30 day hospital readmission risk from home health care: A retrospective analysis

BACKGROUND

In home health care, language barriers are understudied. Language barriers between patients and providers are known to affect a variety of patient outcomes. How a patient's language preference influences hospital readmission risk from home health care has yet to be determined.

OBJECTIVE

To determine if home care patients' language preference is associated with their risk for hospital readmission from home health care within 30 days of hospital discharge.

DESIGN

Retrospective cross-sectional study of hospital readmissions from an urban home health care agency's administrative records and the national electronic home health care record for the United States, captured between 2010 and 2015.

SETTING

New York City, New York, USA.

PARTICIPANTS

The dataset comprised 90,221 post-hospitalization patients and 6.5 million home health care visits.

METHODS

First, a Chi-square test was used to determine if there were significant differences in crude readmission rates based on language group. Inverse probability of treatment weighting was used to adjust for significant differences in known hospital readmission risk factors between to examine all-cause hospital readmission during a home health care stay. The final matched sample included 87,561 patients with a language preference of English, Spanish, Russian, Chinese, or Korean. English-speaking patients were considered the comparison group to the non-English speaking patients. A Marginal Structural Model was applied to estimate the impact of non-English language preference against English language preference on rehospitalization. The results of the marginal structural model were expressed as an odds ratio of likelihood of readmission to the hospital from home health care.

RESULTS

Home health patients with a non-English language preference had a higher hospital readmission risk than English-speaking patients. Crude readmission rate for the limited English proficiency patients was 20.4% (95% CI, 19.9-21.0%) overall compared to 18.5% (95% CI, 18.7-19.2%) for English speakers (p < 0.001). Being a non-English-speaking patient was associated with an odds ratio of 1.011 (95% CI, 1.004-1.018) in increased hospital readmission rates from home health care (p = 0.001). There were also statistically significant differences in readmission rate by language group (p < 0.001), with Korean speakers having the lowest rate and Spanish speakers having the highest, when compared to English speakers.

CONCLUSIONS

People with a non-English language preference have a higher readmission rate from home health care. Hospital and home healthcare agencies may need specialized care coordination services to reduce readmission risk for these patients. Tweetable abstract: A new US-based study finds that home care patients with language barriers are at higher risk for hospital readmission.