Quality Innovation Practices on Health Care Service: A Medical Center Case in Ulsan, Korea

2013 ◽  
Vol 14 (4) ◽  
pp. 77-99
Author(s):  
나진성 ◽  
Park, Won Bin ◽  
이홍희
Keyword(s):  
Health Care ◽  
Medical Center ◽  
Care Service ◽  
Health Care Service ◽  
Innovation Practices

scholarly journals Workload and work motivation relationships with nursing performance

2020 ◽  
Vol 1 ◽  
pp. 69-73
Author(s):  
Rizky Amalia Kinanti ◽  
Kris Linggardini
Keyword(s):  
Health Care ◽  
Work Motivation ◽  
Medical Center ◽  
Care Service ◽  
Health Care Service ◽  
Sampling Technique ◽  
P Value ◽  
Chi Square ◽  
Relationship Of ◽  
The Relationship

Some provinces in Indonesia have been conducted by the directorate of health care service in 2004 with WHO, as a result that 70,4% of nurses have never had training, 39,8% of nurses at the hospital performed non nursing duties, 47,4% of non essential written duties. No specialized supervision and evaluation of nurses. According to interviews with some nurses in the Purbalingga Regency said the nurses’ workload was high because of the extra work off-duty and the function of a nurse. The objective for knowing the relationship of workload and work motivation with a nurse’s performance. This type of research is quantitative using a descriptive design correlation with a sectional cross. The population in this study is all the nurses in the Kutasari medikal center, the Purbalingga Center, the Kalikajar Center and the Kaligondang medical center in Purbalingga District. The sampling technique used is total sampling that is 33 respondents. Analysis used statistics in the chi square. Statistics in this study consist of frequency workload, work motivation and nurse performance. From the results of data processing, it is found that there is a relationship between workload and nurses' performance with a p-value of 0.017 <0.05. And there’s no connection between work motivation with nurse performance with p-value of 0.422 >0.05. There is a correlation between workload and nurse performance and no correlation between work motivation and nurse performance.

The Great Awakening - Digitalization in Dental Healthcare during the pandemic COVID-19

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 380-384
Author(s):  
Priyanka Paul Madhu ◽  
Yojana Patil ◽  
Aishwarya Rajesh Shinde ◽  
Sangeeta Kumar ◽  
Pratik Phansopkar
Keyword(s):  
Health Care ◽  
Task Force ◽  
Care Service ◽  
Health Care Service ◽  
Care Facility ◽  
Health Care Facility ◽  
Health Care Facilities ◽  
World Health ◽  
Record System ◽  
The World

disease in 2019, also called COVID-19, which has been widely spread worldwide had given rise to a pandemic situation. The public health emergency of international concern declared the agent as the (SARS-CoV-2) the severe acute respiratory syndrome and the World Health Organization had activated significant surveillance to prevent the spread of this infection across the world. Taking into the account about the rigorousness of COVID-19, and in the spark of the enormous dedication of several dental associations, it is essential to be enlightened with the recommendations to supervise dental patients and prevent any of education to the dental graduates due to institutional closure. One of the approaching expertise that combines technology, communications and health care facilities are to refine patient care, it’s at the cutting edge of the present technological switch in medicine and applied sciences. Dentistry has been improved by cloud technology which has refined and implemented various methods to upgrade electronic health record system, educational projects, social network and patient communication. Technology has immensely saved the world. Economically and has created an institutional task force to uplift the health care service during the COVID 19 pandemic crisis. Hence, the pandemic has struck an awakening of the practice of informatics in a health care facility which should be implemented and updated at the highest priority.

Impulse Control Disorders in Medical Settings

2012 ◽  
Author(s):  
Sean G. Sullivan
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Impulse Control ◽  
Care Service ◽  
Health Care Service ◽  
Impulse Control Disorders ◽  
Short Supply ◽  
Medical Settings ◽  
Primary Care Settings ◽  
Primary Health

Impulse control disorders (ICDs) and conditions with impulse control features provide a challenge in terms of identification, treatment, and follow-up when mental health specialists are in short supply. Medical settings, in particular the largest, primary health care, provide an opportunity to address many impulse-affected conditions currently poorly assessed and treated in health care settings. Barriers to intervention for ICDs in primary health care are time constraints; understanding of the etiology, symptoms, and appropriate interventions; the health and social costs; and prioritizing of training in and treatment of conditions perceived as more serious or appropriate to a primary health care service. These barriers may possibly be overcome in primary care settings, and in this chapter, a model to address problem gambling is described.

Joint call for addressing issues in the 0–19 health-care service

2015 ◽  
Vol 10 (2) ◽  
pp. 61-63 ◽  
Author(s):  
Caroline Voogd ◽  
Madeleine Murphy ◽  
Sophie Gardner
Keyword(s):  
Health Care ◽  
Care Service ◽  
Health Care Service

The economic burden of vertigo and dizziness in the United States

2020 ◽  
pp. 1-10
Author(s):  
Jeremy S. Ruthberg ◽  
Chandruganesh Rasendran ◽  
Armine Kocharyan ◽  
Sarah E. Mowry ◽  
Todd D. Otteson
Keyword(s):  
United States ◽  
Health Care ◽  
Economic Burden ◽  
Clinical Characteristics ◽  
Care Service ◽  
Adult Population ◽  
Health Care Service ◽  
The United States ◽  
Medical Expenditures ◽  
Limited Information

BACKGROUND: Vertigo and dizziness are extremely common conditions in the adult population and therefore place a significant social and economic burden on both patients and the healthcare system. However, limited information is available for the economic burden of vertigo and dizziness across various health care settings. OBJECTIVE: Estimate the economic burden of vertigo and dizziness, controlling for demographic, socioeconomic, and clinical comorbidities. METHODS: A retrospective analysis of data from the Medical Expenditures Panel Survey (2007–2015) was performed to analyze individuals with vertigo or dizziness from a nationally representative sample of the United States. Participants were included via self-reported data and International Classification of Diseases, 9th Revision Clinical Modification codes. A cross-validated 2-component generalized linear model was utilized to assess vertigo and dizziness expenditures across demographic, socioeconomic and clinical characteristics while controlling for covariates. Costs and utilization across various health care service sectors, including inpatient, outpatient, emergency department, home health, and prescription medications were evaluated. RESULTS: Of 221,273 patients over 18 years, 5,275 (66% female, 34% male) reported either vertigo or dizziness during 2007–2015. More patients with vertigo or dizziness were female, older, non-Hispanic Caucasian, publicly insured, and had significant clinical comorbidities compared to patients without either condition. Furthermore, each of these demographic, socioeconomic, and clinical characteristics lead to significantly elevated costs due to having these conditions for patients. Significantly higher medical expenditures and utilization across various healthcare sectors were associated with vertigo or dizziness (p <  0.001). The mean incremental annual healthcare expenditure directly associated with vertigo or dizziness was $2,658.73 (95% CI: 1868.79, 3385.66) after controlling for socioeconomic and demographic characteristics. Total annual medical expenditures for patients with dizziness or vertigo was $48.1 billion. CONCLUSION: Vertigo and dizziness lead to substantial expenses for patients across various healthcare settings. Determining how to limit costs and improve the delivery of care for these patients is of the utmost importance given the severe morbidity, disruption to daily living, and major socioeconomic burden associated with these conditions.

scholarly journals 463 - Evaluating the Implementation of a Memory Clinic using the RE-AIM model. The experience of the “Memory and Neuropsychiatry Clinic” in Hospital del Salvador, Chile

2020 ◽  
Vol 32 (S1) ◽  
pp. 184-185
Author(s):  
T. Leon ◽  
L. Castro ◽  
F. Mascayano ◽  
BA. Lawlor ◽  
A. Slachevsky
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Latin American ◽  
Care Service ◽  
Care Center ◽  
Health Care Service ◽  
Multidisciplinary Teams ◽  
Outpatient Services ◽  
Health Care Center ◽  
Dementia Patients

AbstractThe prevalence of dementia in Chile is 1.06 %, meaning that over 200,000 people are affected. In 2017, the Ministry of Health launched the National Plan of Dementia, which proposed establishing a range of health-care services from primary care to Memory Units (MU).MUs have emerged as a new health care service composed of multidisciplinary teams with the goal of improving diagnosis and management of dementia patients.The creation and implementation of a MU should take into consideration the organization of a particular healthcare system. In this context, the evaluation of a Chilean MU might provide information for the standardization and replication of such a health service on a regional basis.The objective of this paper was to evaluate the implementation processes of a MU using the RE-AIM model, a multi-component model aimed to assist the evaluation of the implementation of ongoing programs.Regarding “R” (Reach): from March 2018 up to June 2019, a total of 510 patients were referred and assessed at the Hospital del Salvador. Most patients came from primary care (51.9 %) and from outpatient services at the Hospital (39.2 %), particularly from the Neurology (63.3%) and Psychiatry (16.0 %) departments. We estimated that the MU assessed 5.39% of dementia patients living in the area of referral.In relationship with “E” (Effectiveness): of patients evaluated by the MU, 60 (11%) were discharged. Of these, 41 (66%) were referred to primary health care, 9 (17%) to other outpatient services, 6 (10%) to a specialized mental health care center, and 4 (7%) to a daycare center.Due to the short lifespan of our MU, no other RE-AIM dimensions could be evaluated yet.This was the first evaluation of the implementation of a MU in Chile as part of the Chilean Dementia Plan. It showed that it is possible to implement a MU in a Latin American country and improve access to dementia diagnosis, management, and treatment. Ongoing challenges include continuing to collect clinical data, creating research projects as part of the MU, and developing a MU protocol that can be adopted elsewhere in Chile and other Latin American countries.

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