Implementing teach‐back during patient discharge education

Nursing Forum ◽  
2021 ◽  
Author(s):  
Hildreth Eloi
Keyword(s):  
Patient Discharge ◽  
Discharge Education

Comparing peripherally inserted central catheter-related practices across hospitals with different insertion models: a multisite qualitative study

2020 ◽  
pp. bmjqs-2020-011987
Author(s):  
Sarah L Krein ◽  
Molly Harrod ◽  
Lauren E Weston ◽  
Brittani R Garlick ◽  
Martha Quinn ◽  
...  
Keyword(s):  
Decision Making ◽  
Vascular Access ◽  
Qualitative Methodology ◽  
Management Practices ◽  
Patient Discharge ◽  
Healthcare Personnel ◽  
Appropriateness Criteria ◽  
Placement Decisions ◽  
Study Sites ◽  
Discharge Education

BackgroundPeripherally inserted central catheters (PICCs) provide reliable intravenous access for delivery of parenteral therapy. Yet, little is known about PICC care practices or how they vary across hospitals. We compared PICC-related processes across hospitals with different insertion delivery models.MethodsWe used a descriptive qualitative methodology and a naturalist philosophy, with site visits to conduct semistructured interviews completed between August 2018 and January 2019. Study sites included five Veterans Affairs Medical Centres, two with vascular access teams (VATs), two with PICC insertion primarily by interventional radiology (IR) and one without on-site PICC insertion capability. Interview participants were healthcare personnel (n=56), including physicians, bedside and vascular access nurses, and IR clinicians. Data collection focused on four PICC domains: use and decision-making process, insertion, in-hospital management and patient discharge education. We used rapid analysis and a summary matrix to compare practices across sites within each domain.ResultsOur findings highlight the benefits of dedicated VATs across all PICC-related process domains, including implementation of criteria to guide PICC placement decisions, timely PICC insertion, more robust management practices and well-defined patient discharge education. We also found areas with potential for improvement, such as clinician awareness of PICC appropriateness criteria and alternative devices, deployment of VATs and patient discharge education.ConclusionVascular access nurses play critical roles in all aspects of PICC-related care. There is variation in PICC decision-making, care and maintenance, and patient education across hospitals. Quality and safety improvement opportunities to reduce this variation are highlighted.

Lingual Strengthening: Success in an Outpatient Setting

2015 ◽  
Vol 24 (2) ◽  
pp. 71-74
Author(s):  
Ali Meier
Keyword(s):  
Oropharyngeal Dysphagia ◽  
Patient Discharge ◽  
Outpatient Setting ◽  
Oral Performance ◽  
Exercise Protocol ◽  
Anterior Position ◽  
Tongue Position ◽  
Bolus Propulsion ◽  
Posterior Position

In the last decade or more, dysphagia research has investigated the effect of lingual strengthening on oropharyngeal dysphagia with promising results. Much of this research has utilized strengthening devices such as the Iowa Oral Performance Instrument (IOPI) or the Madison Oral Strengthening Therapeutic (MOST) Device. Patients are often given a device to use, and are able to complete an exercise protocol daily or multiple times per day. This case study was completed to determine the effectiveness of using the IOPI in an outpatient clinic where therapy was conducted two to three times per week. The patient was seen post tongue resection due to oropharyngeal cancer. From initiation of IOPI use to patient discharge, the patient demonstrated a 71% increase in lingual strength at the anterior position, a 61% increase at the posterior position, and a 314% increase at the base of tongue position. His diet advanced from NPO to general based on gains in lingual strength and bolus propulsion.

Automated Coding of Patient Discharge Summaries Using Conceptual Graphs

1995 ◽  
Vol 34 (04) ◽  
pp. 345-351 ◽  
Author(s):  
A. Burgun ◽  
L. P. Seka ◽  
D. Delamarre ◽  
P. Le Beux
Keyword(s):  
Natural Language ◽  
Patient Discharge ◽  
Natural Language Understanding ◽  
Assessment Procedure ◽  
Coding System ◽  
Language Understanding ◽  
Processing Scheme ◽  
Automated Coding ◽  
Conceptual Graph ◽  
Discharge Summaries

Abstract:In medicine, as in other domains, indexing and classification is a natural human task which is used for information retrieval and representation. In the medical field, encoding of patient discharge summaries is still a manual time-consuming task. This paper describes an automated coding system of patient discharge summaries from the field of coronary diseases into the ICD-9-CM classification. The system is developed in the context of the European AIM MENELAS project, a natural-language understanding system which uses the conceptual-graph formalism. Indexing is performed by using a two-step processing scheme; a first recognition stage is implemented by a matching procedure and a secondary selection stage is made according to the coding priorities. We show the general features of the necessary translation of the classification terms in the conceptual-graph model, and for the coding rules compliance. An advantage of the system is to provide an objective evaluation and assessment procedure for natural-language understanding.

High-Volume Hospitals with High-Volume and Low-Volume Surgeons: Is There a “Field Effect” for Pancreaticoduodenectomy?

2016 ◽  
Vol 82 (5) ◽  
pp. 407-411 ◽  
Author(s):  
Thomas W. Wood ◽  
Sharona B. Ross ◽  
Ty A. Bowman ◽  
Amanda Smart ◽  
Carrie E. Ryan ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Field Effect ◽  
Hospital Volume ◽  
Patient Discharge ◽  
High Volume ◽  
Surgeon Volume ◽  
Hospital Charges ◽  
Leapfrog Group ◽  
Discharge Status ◽  
Low Volume

Since the Leapfrog Group established hospital volume criteria for pancreaticoduodenectomy (PD), the importance of surgeon volume versus hospital volume in obtaining superior outcomes has been debated. This study was undertaken to determine whether low-volume surgeons attain the same outcomes after PD as high-volume surgeons at high-volume hospitals. PDs undertaken from 2010 to 2012 were obtained from the Florida Agency for Health Care Administration. High-volume hospitals were identified. Surgeon volumes within were determined; postoperative length of stay (LOS), in-hospital mortality, discharge status, and hospital charges were examined relative to surgeon volume. Six high-volume hospitals were identified. Each hospital had at least one surgeon undertaking ≥ 12 PDs per year and at least one surgeon undertaking < 12 PDs per year. Within these six hospitals, there were 10 “high-volume” surgeons undertaking 714 PDs over the three-year period (average of 24 PDs per surgeon per year), and 33 “low-volume” surgeons undertaking 225 PDs over the three-year period (average of two PDs per surgeon per year). For all surgeons, the frequency with which surgeons undertook PD did not predict LOS, in-hospital mortality, discharge status, or hospital charges. At the six high-volume hospitals examined from 2010 to 2012, low-volume surgeons undertaking PD did not have different patient outcomes from their high-volume counterparts with respect to patient LOS, in-hospital mortality, patient discharge status, or hospital charges. Although the discussion of volume for complex operations has shifted toward surgeon volume, hospital volume must remain part of the discussion as there seems to be a hospital “field effect.”

scholarly journals Predicting the 14-Day Hospital Readmission of Patients with Pneumonia Using Artificial Neural Networks (ANN)

2021 ◽  
Vol 18 (10) ◽  
pp. 5110
Author(s):  
Shu-Farn Tey ◽  
Chung-Feng Liu ◽  
Tsair-Wei Chien ◽  
Chin-Wei Hsu ◽  
Kun-Chen Chan ◽  
...  
Keyword(s):  
Neural Network ◽  
Early Stage ◽  
Characteristic Curve ◽  
Patient Discharge ◽  
Ann Model ◽  
Healthcare Settings ◽  
High Area ◽  
Icd 10 ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Unplanned patient readmission (UPRA) is frequent and costly in healthcare settings. No indicators during hospitalization have been suggested to clinicians as useful for identifying patients at high risk of UPRA. This study aimed to create a prediction model for the early detection of 14-day UPRA of patients with pneumonia. We downloaded the data of patients with pneumonia as the primary disease (e.g., ICD-10:J12*-J18*) at three hospitals in Taiwan from 2016 to 2018. A total of 21,892 cases (1208 (6%) for UPRA) were collected. Two models, namely, artificial neural network (ANN) and convolutional neural network (CNN), were compared using the training (n = 15,324; ≅70%) and test (n = 6568; ≅30%) sets to verify the model accuracy. An app was developed for the prediction and classification of UPRA. We observed that (i) the 17 feature variables extracted in this study yielded a high area under the receiver operating characteristic curve of 0.75 using the ANN model and that (ii) the ANN exhibited better AUC (0.73) than the CNN (0.50), and (iii) a ready and available app for predicting UHA was developed. The app could help clinicians predict UPRA of patients with pneumonia at an early stage and enable them to formulate preparedness plans near or after patient discharge from hospitalization.

Providing Inpatient Mobilization with a Mobility Technician Constrains Cost in Primary Total Knee Arthroplasty

2020 ◽  
Author(s):  
Thomas A. Novack ◽  
Christopher J. Mazzei ◽  
Jay N. Patel ◽  
Eileen B. Poletick ◽  
Roberta D'Achille ◽  
...  
Keyword(s):  
Total Knee Arthroplasty ◽  
Knee Arthroplasty ◽  
Care Pathway ◽  
Primary Total Knee Arthroplasty ◽  
Cost Savings ◽  
Patient Discharge ◽  
Control Group ◽  
Study Group ◽  
Bundled Payment ◽  
Total Knee

AbstractSince the 2016 implementation of the comprehensive care for joint replacement (CJR) bundled payment model, our institutions have sought to decrease inpatient physical therapy (PT) costs by piloting a mobility technician program (MTP), where mobility technicians (MTs) ambulate postoperative total knee arthroplasty (TKA) patients under the supervision of nursing staff members. MTs are certified medical assistants given specialized gate and ambulation training by the PT department. The aim of this study was to examine the economic and clinical impact of MTs on the primary TKA postoperative pathway. We performed a retrospective review of TKA patients who underwent surgery at our institution between April 2018 and March 2019 and who were postoperatively ambulated by MTs. The control group included patients who had surgery during the same months of the prior year, preceding introduction of MTs to the floor. Inclusion criteria included: unilateral primary TKA for arthritic conditions and conversion to unilateral primary TKA from a previous knee surgery. Minitab Software (State College, PA) was used to perform the statistical analysis. There were 658 patients enrolled in the study group and 1,400 in the control group. The two groups shared similar demographics and an average age of 68 (p = 0.177). The median length of stay (LOS) was 2 days in both groups (p = 0.133) with 90.5% of patients in the study group discharged to home versus 81.5% of patients in the control group (p < 0.001). The ability of MTs to increase patient discharge to home without negatively impacting LOS suggest MTs are valuable both clinically to patients, and economically to the institution. Cost analysis highlighted the substantial cost savings that MTs may create in a bundled payment system. With the well-documented benefits of early ambulation following TKA, we demonstrate how MTs can be an asset to optimizing the care pathway of TKA patients.

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