New Jersey Home Health Care Aides Survey Results

2019 ◽  
Vol 31 (3) ◽  
pp. 172-178 ◽  
Author(s):  
Marilyn Lou Ridenour ◽  
Scott Hendricks ◽  
Daniel Hartley ◽  
James D. Blando

The objective of the study was to report on what violence-based training home health care aides received, their participation in health promotion classes, and home health care aides’ experience with workplace violence. In 2013, a mail survey was completed by 513 home health care aides in the state of New Jersey. Ninety-four percent of the respondents were female. Respondents whose agency was part of a hospital were more likely to receive violence-based safety training than respondents whose agency was not part of a hospital ( p = .0313). When the perpetrator of violence was a patient or family member, the respondents experienced verbal abuse the most (26%), then physical assault (16%) and exposure to bodily fluids (13%). Home health care aides whose agency was part of a hospital were more likely to receive violence-based safety training. Training is an important component of a workplace violence prevention program.

2020 ◽  
Vol 68 (9) ◽  
pp. 415-421 ◽  
Author(s):  
Ha Do Byon ◽  
Xiaoyue Liu ◽  
Mary Crandall ◽  
Jane Lipscomb

Background: Home health care nurses (HHNs) work alone in patients’ homes. They experience high rates of Type II (client/patient-on-worker) workplace violence (WPV); however, little is known about the extent and factors of their reporting. Methods: A convenience sample of employees aged 18 years and older and working as an HHN or management staff were recruited from a U.S. nonprofit home health care agency. To describe the extent of reporting of WPV events, an HHN survey was conducted. To identify the barriers and facilitators to reporting, two HHN focus groups were conducted, and management key informant interviews were employed. Findings: We recruited 18 HHNs and five management staff into the study. Almost all HHNs reported to management the most serious forms of violence they experienced, and that HHNs reported WPV when they perceived that reporting was beneficial (alerting other nurses and management) and supported by management staff. However, they were unwilling to report when it was perceived as disadvantageous (reliving the trauma), discouraged (by a norm that experiencing violence is a part of the job), unachievable (unstandardized reporting process), and ambiguous (uncertain of what is reportable). Management staff perceived a lack of standardized reporting processes as a barrier when responding to HHNs’ reporting. Conclusion/Application to Practice: High reporting was related to strong support from management. Policies and procedures should clearly define WPV, the threshold for reporting, how to report, and how management will respond to the reports.


2009 ◽  
Vol 16 (2) ◽  
pp. 219-230 ◽  
Author(s):  
Stina Öresland ◽  
Sylvia Määttä ◽  
Astrid Norberg ◽  
Kim Lützén

One aim of this study was to explore the role, or subject position, patients take in the care they receive from nurses in their own home. Another was to examine the subject position that patients say the nurses take when giving care to them in their own home. Ten interviews were analysed and interpreted according to a discourse analytical method. The findings show that patients constructed their subject position as `safeguard', and the nurses' subject position as `substitute' for themselves. These subject positions provided the opportunities, and the obstacles, for the patients' possibilities to receive care in their home. The subject positions described have ethical repercussions and illuminate that the patients put great demands on tailored care.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 35-35
Author(s):  
Joanne Spetz ◽  
Alon Bergman ◽  
Hummy Song ◽  
Amber Rose ◽  
Guy David

Abstract Only a few studies of nursing turnover have examined post-acute home health care. This study examines factors that are associated with home health licensed nurse turnover using linked employee-level and patient-level data from one of the five largest home health companies in the US. The data include variables from human resources and payroll systems, visit logs, discharge records, physical and mental health assessments, care plans, and patient encounters and is organized at the employee-day level. We measured turnover using human resources data, including measures of voluntary and involuntary job separation, and from exit interviews that allow classification of whether turnover was associated with agency-related factors (e.g., pay, schedule, supervisor, coworkers) versus personal factors (e.g., family needs, relocation). In bivariate and multivariate analyses, explanatory variables included nurse demographics, patient population characteristics, and the degree to which nurses can delegate tasks to home care aides. We found a downward trend in turnover for licensed nurses between 2016 and 2019. Attrition in the first year was 34% for full-time nurses and 45% for part-time nurses, most of it occurring in the first 180 days of employment. The rate of voluntary turnover was nearly four times as great as involuntary turnover. We found that agency factors accounted for 26% of monthly turnover on average, while personal factors accounted for 74%. In states in which licensed nurses could delegate more tasks to home care aides, turnover rates were slightly higher than in states with little delegation.


2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
Muhammad A Sheikh ◽  
David Ngendahimana ◽  
Salil V Deo ◽  
Sajjad Raza ◽  
Salah Altarabsheh ◽  
...  

Objective: Home health care (HHC) is a support tool to transition patients after discharge and acute myocardial infarction (AMI) is a significant cause of morbidity and mortality in the U.S. However, little is known regarding the impact of HHC on AMI patients. We sought to identify predictors of readmissions among AMI patients, characteristics of those who receive HHC and investigate the association of HHC with readmission. Methods: We queried the National Readmission Database (NRD) (January 2012 - December 2014), to identify patients discharged after AMI and selected patients who were discharged home with (HHC+) and without HHC (HHC-). We reported national estimates with survey methods with weights provided in our data. After univariate exploratory analyses, we developed a regression model to identify the probability of each patient to receive HHC. From the propensity score, we calculated average treatment on the treated (ATT) weights. These ATT weights were included in the logistic regression model to determine the impact of HHC on readmission after adjusting for available clinical confounders. We considered post-weighting standardized differences <10% as appropriate for our ATT model. To determine clinical factors associated with readmission, we also performed a multi-variable logistic regression with readmission as the end-point. All results were reported as risk ratios (RR) with their 95% confidence intervals (CI). Results: Between January 2012 to December 2014, 406,237 patients were treated for AMI and discharged home with or without HHC. Among these 9.4% (38,215) received HHC. HHC+ patients were older (mean age 77 ± 11 vs 60 ±12 years p<0.001), more likely to be female (53.6% vs. 26.9%, p <0.001), and have cancer (3.7% vs 1.3%, p <0.001), congestive heart failure (5.7% vs. 0.5%, p <0.001), chronic pulmonary disease (23.2% vs. 12.7%, p <0.001), chronic kidney disease (26.9% vs 6.9%, p <0.001), diabetes (35.6% vs. 26.7%, p <0.001), hypertension (70.7% vs. 64.8%, p <0.001) and peripheral vascular disease (14.6% vs 6.4%, p <0.001). Patients readmitted after MI were more likely to be older and have diabetes (RR 1.42, 95% CI 1.37-1.48), CHF (RR 5.89, CI 5.55-6.26) or COPD (RR 1.59, 1.52-1.65). Unadjusted 30-day readmission rate was 20.9% for HHC+ and 8.2% for HHC- patients. Propensity-weighted adjustment for covariates yielded 36,979 HHC+ patients and 37,785 HHC- patients. Adjusted risk rations (RR) for 30-day readmission were computed using ATT weights, and HHC+ patients had significantly lower readmission risk (RR 0.89, 95% CI 0.82 - 0.96) compared to HHC- (RR 1.12, 95% CI 1.04 - 1.21; p < 0.001) Conclusion: In the United States, a small proportion of patients receive home health care after discharge post-AMI. Older, females and those with diabetes or heart failure are more likely to receive home health care. Use of home health care may be associated with lower 30-day readmission rates after AMI.


2016 ◽  
Vol 12 (8) ◽  
pp. 328-335 ◽  
Author(s):  
Amy R. Darragh ◽  
Steve Lavender ◽  
Barbara Polivka ◽  
Carolyn M. Sommerich ◽  
Celia E. Wills ◽  
...  

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