Symptom Burden and Activity of Daily Living (ADL) Dependency Among Home Health care Patients Discharged to Home Hospice

Background: We sought to examine sociodemographic and clinical characteristics present on admission to HHC associated with discharge to hospice. Methods: We used a 5% random sample of 2017 national Outcome and Assessment Information Set (OASIS) data. A Cox proportional hazards regression model was estimated for the primary outcome (discharge to hospice) to examine the associations with sociodemographic and clinical characteristics of HHC patients. Results: Among 489, 230 HHC patients, 4268 were discharged to hospice. The median (interquartile range) length of HHC stay for patients discharged to hospice care was 33 (14-78) days. Compared to White patients, Black, Hispanic, and other race, (hazard ratio [HR] = .50 [95% confidence interval, CI = .44–.57]), (HR = .53 [95% CI = .46–.62]), and (HR = .49 [95% CI = .40–.61], respectively) was associated with shorter time to discharge to hospice care. Clinical characteristics including severe dependence in activities of daily (ADL) (HR = 1.68 [95% CI = 1.01–2.78]), cognitive impairment (HR = 1.10 [95% CI = 1.01–1.20]), disruptive behavior daily (HR = 1.11 [95% CI = 1.02–1.22]), and inability to feed oneself (HR = 4.78, 95% CI = 4.30, 5.31) was associated with shorter time to discharge to hospice. Symptoms of anxiety daily (HR = 1.55 [95% CI = 1.43–1.68]), and pain daily or all the time (HR = 1.54 [95% CI = 1.43–1.64]) were associated with shorter time to discharge to hospice. Conclusions: High symptom burden, ADL dependency, and cognitive impairment on admission to HHC services was associated with greater likelihood of discharge to hospice.

Home Health Care Utilization in Children With Medicaid

BACKGROUND: Although many children with medical complexity (CMC) use home health care (HHC), little is known about all pediatric HHC utilizers. Our objective was to assess characteristics of pediatric HHC recipients, providers, and payments. METHODS: We conducted a retrospective analysis of 5 209 525 children age 0-to-17 years enrolled Medicaid in the 2016 IBM Watson MarketScan Medicaid Database. HHC utilizers had ≥ 1 HHC claim. Healthcare Common Procedure Coding System (HCPCS) and Current Procedural Terminology (CPT) codes were reviewed to codify provider types when possible: registered nurse (RN), licensed practical nurse (LPN), home health aide (HHA), certified nursing assistant (CNA), or companion/personal attendant. Enrollee clinical characteristics, HHC provider type, and payments were assessed. Chronic conditions were evaluated with Agency for Healthcare Research and Quality’s Chronic Condition Indicators and Feudtner’s Complex Chronic Conditions. RESULTS: Of the 0.8% of children who used HHC, 43.8% were age <1 year, 25% had no chronic condition, 38.6% had a noncomplex chronic condition, 21.5% had a complex chronic condition without technology assistance, and 15.5% had technology assistance (eg, tracheostomy). HHC for children with technology assistance accounted for 72.6% of all HHC spending. Forty-five percent of HHC utilizers received RN/LPN-level care, 7.9% companion/personal attendant care, 5.9% HHA/CNA-level care, and 36% received care from an unspecified provider. For children with technology assistance, the majority (77.2%) received RN/LPN care, 17.5% companion/personal assistant care, and 13.8% HHA/CNA care. CONCLUSIONS: Children using HHC are a heterogeneous population who receive it from a variety of providers. Future investigations should explore the role of nonnurse caregivers, particularly with CMC.

Feedback-Based Resource Utilization for Smart Home Automation in Fog Assistance IoT-Based Cloud

In this article, the proposed feedback-based resource management approach provides data processing, huge computation, large storage, and networking services between Internet of Things (IoT)-based Cloud data centers and the end-users. The real-time applications of IoT, such as smart city, smart home, health care management systems, traffic management systems, and transportation management systems, require less response time and latency to process the huge amount of data. The proposed feedback-based resource management plan provides a novel resource management technique, consisting of an integrated architecture and maintains the service-level agreement (SLA). It can optimize energy consumption, response time, network bandwidth, security, and reduce latency. The experimental results are tested with the IFogSim tool kit and have proved that the proposed approach is effective and suitable for smart communication in IoT-based cloud.

Mutual trust is a prerequisite for nurses’ sense of safety and work satisfaction – Mobile Integrated Care Model: A qualitative interview study

An increasing number of older persons have complex health care needs. This, along with the organizational principle of remaining at home, emphasizes the need to develop collaborations among organizations caring for older persons. A health care model developed in Sweden, the Mobile Integrated Care Model aims to promote work in teams across organizations. The aim of the study was to describe nurses’ experiences in working and providing health care in the Mobile Integrated Care Model in the home with home health care physicians. Semi-structured interviews were conducted with 18 nurses and analyzed through qualitative content analysis. The method was compliant with the COREQ checklist. A mutually trusting collaboration with physicians, which formed person-centered care, created work satisfaction for the nurses. Working within the Mobile Integrated Care Model was negatively impacted by being employed by different organizations, lack of time to provide health care, and physicians’ person-centered work abilities.