scholarly journals Planning Strategies for Home Health Care Delivery

2016 ◽  
Vol 33 (05) ◽  
pp. 1650041 ◽  
Author(s):  
Mike Hewitt ◽  
Maciek Nowak ◽  
Nisha Nataraj

In home health care (our motivating application), consistency is representative of the general health care principle of continuity of care, which is often correlated with quality of care. Much of the existing research involving consistency in routing uses planning horizons that are a week or shorter. Yet in many settings the relationship between an organization and its customers lasts much longer. Hence, this paper looks at how one should plan when seeking consistency in routes extends the impact of caregiver-patient assignments. Specifically, the paper examines appropriate planning horizon length and, with an extensive computational study, demonstrates that a long planning horizon can have significant potential for savings in terms of transportation costs and staffing levels. Initially, a deterministic setting is considered, with all patient requests during the planning horizon known a priori, and the routing cost of planning for two to three months is compared with the cost when planning is done on a weekly basis. With uncertainty inherent in planning for such a long time horizon, a methodology is presented that anticipates future patient requests that are unknown at the time of planning. Computational evidence shows that its use is superior to planning on a weekly, rolling horizon basis.

2011 ◽  
Vol 23 (6) ◽  
pp. 435-445 ◽  
Author(s):  
Colleen Delaney ◽  
Richard Fortinsky ◽  
Lorraine Doonan ◽  
Rita L. W. Grimes ◽  
Pearson Terra-Lee ◽  
...  

The increasing prevalence of depression in elderly home health care patients led to a statewide initiative in Connecticut to enhance evidence-based depression treatment for older adults. A training curriculum on depression screening and interventions was developed and disseminated to 25 home care professionals representing 14 agencies in Connecticut using a train-the-trainer model. Home care trainers included nurses and social workers. This article describes Phase I curriculum design and initial evaluation of the impact of the training on the preparation of trainers to provide depression care education at their home care agencies. Several evaluation measures, including an appraisal of the self-reported attitudes and self-efficacy of home care professionals towards depressed older adults, a pre/post-test to assess the trainers’ knowledge, and willingness of trainers to implement the education program at their agencies were used to assess program outcomes. Participants’ self-efficacy levels in screening and caring for depressed older adults was significantly increased following the education program compared to immediately before the education program (t, (24) = -4.204; p < .001).


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S690-S691
Author(s):  
Jamila M Torain ◽  
Joan Davitt ◽  
Charlotte L Bright ◽  
Nancy Miller ◽  
Sarah Chard ◽  
...  

Abstract This study evaluated the effect of recent ACA changes to Medicare Home Health Care (HHC) reimbursements on the mix of agencies and staff in the HHC market. We used Provider of Services (POS) data and logistic regression, to determine which agency characteristics were associated with the likelihood of exiting the HHC market and likelihood of decreasing staff before (n=13,878) and after (n=13,702) implementation of the ACA-mandated reimbursement cuts. Free standing agencies had 1.35 times the odds of exiting from the HHC market post ACA cuts. There were no differences in the odds of exiting the HHC market between for-profit and non-profit agencies. Agencies in the New York, Atlanta, and Chicago regions had a greater likelihood of exiting the HHC market post ACA cuts. Small agencies had two times the odds of exiting (aOR= 2.09) and agencies with one or more branch had less than half the odds of exiting (aOR= 0.46) from the HHC market. The average number of all staff was similar before and after the ACA cuts; however, office staff and home health aides experienced the greatest decrease in number. Agencies that were for-profit, free-standing, small, and/or with one or more branch were more likely to decrease staff post the ACA cuts. Agencies in the New York, Atlanta, Chicago, Dallas and Kansas regions were more likely to decrease staff. Overall, the reimbursement cut effects varied by geographic region and had greater impact on more vulnerable agencies and staff that were non-skilled.


2015 ◽  
Vol 73 (1) ◽  
pp. 85-105 ◽  
Author(s):  
Momotazur Rahman ◽  
Omar Galarraga ◽  
Jacqueline S. Zinn ◽  
David C. Grabowski ◽  
Vincent Mor

2016 ◽  
Vol 28 (4) ◽  
pp. 224-228
Author(s):  
Yolonda R. Pickett ◽  
Rebecca L. Greenberg ◽  
Kisha N. Bazelais ◽  
Angela Ghesquiere ◽  
Martha L. Bruce

1983 ◽  
Vol 1 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Winifred S. Livengood ◽  
Carolyn Smith ◽  
Sandra Hallstead

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fabián Castaño ◽  
Nubia Velasco

PurposeTo solve the problem, a mathematical model is proposed; it relies on a directed acyclic graph (DAG), in which arcs are used to indicate whether a pair of appointments can be assigned to the same route or not (and so to the same care worker). The proposed model aims at minimizing the personnel required to meet daily demand and balancing workloads among the workers while considering the varying traffic patterns derived from traffic congestion.Design/methodology/approachThis paper aims at providing solution approaches for addressing the problem of assigning care workers to deliver home health-care (HHC) services, demanding different skills each. First, a capacity planning problem is considered, where it is necessary to define the number of workers required to satisfy patients' requests and then, patients are assigned to the care workers along with the sequence followed to visit them, thus solving a scheduling problem. The benefits obtained by permitting patients to propose multiple time slots where they can be served are also explored.FindingsThe results indicate that the problem can be efficiently solved for medium-sized instances, that is, up to 100 daily patient requests. It is also indicated that asking patients to propose several moments when they can receive services helps to minimize the need for care workers through more efficient route allocations without affecting significantly the balance of the workloads.Originality/valueThis article provides a new framework for modeling and solving a HHC routing problem with multiskilled personnel. The proposed model can be used to identify efficient daily plans and can handle realistic characteristics such as time-dependent travel times or be extended to other real-life applications such as maintenance scheduling problems.


2020 ◽  
pp. 073346482091787
Author(s):  
Juan Liu ◽  
Wei Wei ◽  
Qingyun Peng ◽  
Chenzhe Xue

This study aims to test the moderating effects of home health care, home-help service, and older adults’ attitudes toward aging on the relationship between social support and life satisfaction among Chinese older adults. The study used a sample of 5,578 Chinese home-dwelling older adults. Multiple linear regression analyses were performed to test the hypothesized effects along with gender and Hukou type differences. The results show that home health care significantly buffers the impact of social support on life satisfaction, and this buffering effect remains same across gender groups and Hukou groups. The findings of the study provide unique and contemporary theoretical and practical implications.


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.


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