Factors Associated with Timing of the Start-of-Care Nursing Visits in Home Health Care

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.

Documentation of social determinants of health across individuals from different racial and ethnic groups in home healthcare

INTRODUCTION

Home healthcare (HHC) enables patients to receive healthcare services within their homes to manage chronic conditions and recover from illnesses. Recent research has identified disparities in HHC based on race or ethnicity. Social determinants of health (SDOH) describe the external factors influencing a patient's health, such as access to care and social support. Individuals from racially or ethnically minoritized communities are known to be disproportionately affected by SDOH. Existing evidence suggests that SDOH are documented in clinical notes. However, no prior study has investigated the documentation of SDOH across individuals from different racial or ethnic backgrounds in the HHC setting. This study aimed to (1) describe frequencies of SDOH documented in clinical notes by race or ethnicity and (2) determine associations between race or ethnicity and SDOH documentation.

DESIGN

Retrospective data analysis.

METHODS

We conducted a cross-sectional secondary data analysis of 86,866 HHC episodes representing 65,693 unique patients from one large HHC agency in New York collected between January 1, 2015, and December 31, 2017. We reported the frequency of six SDOH (physical environment, social environment, housing and economic circumstances, food insecurity, access to care, and education and literacy) documented in clinical notes across individuals reported as Asian/Pacific Islander, Black, Hispanic, multi-racial, Native American, or White. We analyzed differences in SDOH documentation by race or ethnicity using logistic regression models.

RESULTS

Compared to patients reported as White, patients across other racial or ethnic groups had higher frequencies of SDOH documented in their clinical notes. Our results suggest that race or ethnicity is associated with SDOH documentation in HHC.

CONCLUSION

As the study of SDOH in HHC continues to evolve, our results provide a foundation to evaluate social information in the HHC setting and understand how it influences the quality of care provided.

CLINICAL RELEVANCE

The results of this exploratory study can help clinicians understand the differences in SDOH across individuals from different racial and ethnic groups and serve as a foundation for future research aimed at fostering more inclusive HHC documentation practices.

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.

The identification of clusters of risk factors and their association with hospitalizations or emergency department visits in home health care

AIMS

To identify clusters of risk factors in home health care and determine if the clusters are associated with hospitalizations or emergency department visits.

DESIGN

A retrospective cohort study.

METHODS

This study included 61,454 patients pertaining to 79,079 episodes receiving home health care between 2015 and 2017 from one of the largest home health care organizations in the United States. Potential risk factors were extracted from structured data and unstructured clinical notes analysed by natural language processing. A K-means cluster analysis was conducted. Kaplan-Meier analysis was conducted to identify the association between clusters and hospitalizations or emergency department visits during home health care.

RESULTS

A total of 11.6% of home health episodes resulted in hospitalizations or emergency department visits. Risk factors formed three clusters. Cluster 1 is characterized by a combination of risk factors related to "impaired physical comfort with pain," defined as situations where patients may experience increased pain. Cluster 2 is characterized by "high comorbidity burden" defined as multiple comorbidities or other risks for hospitalization (e.g., prior falls). Cluster 3 is characterized by "impaired cognitive/psychological and skin integrity" including dementia or skin ulcer. Compared to Cluster 1, the risk of hospitalizations or emergency department visits increased by 1.95 times for Cluster 2 and by 2.12 times for Cluster 3 (all p < .001).

CONCLUSION

Risk factors were clustered into three types describing distinct characteristics for hospitalizations or emergency department visits. Different combinations of risk factors affected the likelihood of these negative outcomes.

IMPACT

Cluster-based risk prediction models could be integrated into early warning systems to identify patients at risk for hospitalizations or emergency department visits leading to more timely, patient-centred care, ultimately preventing these events.

PATIENT OR PUBLIC CONTRIBUTION

There was no involvement of patients in developing the research question, determining the outcome measures, or implementing the study.

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.

Medicare-funded home-based clinical care for community-dwelling persons with dementia: An essential healthcare delivery mechanism

BACKGROUND

Over the past decade, medical care has shifted from institutions into home settings-particularly among persons with dementia. Yet it is unknown how home-based clinical services currently support persons with dementia, and what factors shape access.

METHODS

Using the National Health and Aging Trends Study linked to Medicare claims 2012-2017, we identified 6664 community-dwelling adults age ≥ 70 years enrolled in fee-for-service Medicare. Annual assessment of dementia status was determined via self-report, cognitive interview, and/or proxy assessment. Receipt of four types of home-based clinical care (home-based medical care (HBMC) (i.e., nurse practitioner, physician, or physician assistant visits), skilled home health care (SHHC), podiatry visits, and other types of home-based clinical services (e.g., behavioral health)) was assessed annually. We compared age-adjusted rates of home-based clinical care by dementia status and determined sociodemographic, health, and environmental characteristics associated with utilization of home-based clinical care among persons with dementia.

RESULTS

Nearly half (44.4%) of persons with dementia received any home-based clinical care annually compared to only 14.4% of those without dementia. Persons with dementia received substantially more of each type of home-based clinical care than those without dementia including a 5-fold increased use of HBMC (95% CI = 3.8-6.2) and double the use of SHHC (95% CI = 2.0-2.5). In adjusted models, Hispanic/Latino persons with dementia were less likely to receive HBMC (OR = 0.32; 95% CI = 0.11-0.93). Use of HBMC, podiatry, and other home-based clinical care was significantly more likely among those living in residential care facilities, in the Northeast and in metropolitan areas.

CONCLUSION

Although almost half of community-dwelling persons with dementia receive home-based clinical care, there is significant variation in utilization based on race/ethnicity and environmental context. Increased understanding as to how these factors impact utilization is necessary to reduce potential inequities in healthcare delivery among the dementia population.