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.

scholarly journals Effective Reengineering Computing Model For Ethiopian Health Care Center

2020 ◽  
pp. 21-24
Author(s):  
Rajasekar Sundaram
Keyword(s):  
Health Care ◽  
Health Center ◽  
Social Insurance ◽  
Care Service ◽  
Care Center ◽  
Health Care Service ◽  
Personal Health Information ◽  
Health Care Center ◽  
The Individual ◽  
Clinical Records

The ordinary information get to control framework is to keep up the specific sharing composite Personal Health Information Records (PHIRs)in health center, operations from different health centers in cloud major research looks into in the present IT. A PHIR administration license a patient to making, overseeing, and controlling the individual wellbeing information in one spot through the web, which has made the extra room, recovery, and appropriation of the clinical data progressively effective. Uncommonly, every patient is secure the full control of clinical records and can impart the wellbeing information to an enormous scope of clients with social insurance donors and relatives. Because of the significant expense of building and keep up secured and specific server, numerous PHIR administrations are redistributed to make accessible by client from specialist organizations. Decentralized server farms the emission of CO2 is high and nature get spoiled and polluted by making reusable datacenters the data's or information's can shared through the PHIR's. By this we can keep away from the high emission of CO2, the adaptability; accessibility and similarity are increments according to Moore's law. To share the cutting edge data's from other server farm information with reusable asset and e-Health Care Service in Ethiopian health center.

scholarly journals Patient motives for contacting out-of-hours care in Denmark: a cross-sectional study

2020 ◽  
Author(s):  
Linda Huibers ◽  
Anders H Carlsen ◽  
Grete Moth ◽  
Helle C Christensen ◽  
Ingunn S Riddervold ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Emergency Medical Services ◽  
Service Providers ◽  
Care Service ◽  
Health Care Service ◽  
Medical Services ◽  
Cross Sectional ◽  
Out Of Hours ◽  
Emergency Medical

Abstract Background Patients in need of acute health care do not always contact the most suitable health care service provider. Contacting out-of-hours primary care for an urgent problem may delay care, whereas contacting emergency medical services for a non-urgent problem could ultimately affect patient safety. More insight into patient motives for contacting a specific health care provider may help optimise patient flows. This study aims to explore patient motives for contacting out-of-hours primary care and the emergency medical services in Denmark.Methods We conducted a cross-sectional observational study by sending a questionnaire to patients contacting out-of-hours primary care and emergency medical services, both of which can be directly contacted by patients, in two of five Danish regions in 2015. As we aimed to focus on the first access point, the emergency department was not included. The questionnaire included items on patient characteristics, health problem and 26 pre-defined motives. Descriptive analyses of patient characteristics and motives were conducted, stratified by the two health care service providers. Factors associated with contacting each of the two service providers were explored in a modified Poisson regression analysis, and adjusted risk ratios were calculated.Results Three key motives for contacting the two service providers were identified: ‘unpleasant symptoms’, ‘perceived need for prompt action’ and ‘perceived most suitable health care provider’. Other important motives were ‘need arose outside office hours’ and ‘wanted to talk to a physician’ (out-of-hours primary care) and ‘expected need for ambulance’ and ‘worried’ (emergency medical services). Higher probability of contacting the emergency medical services versus out-of-hours primary care was seen for most motives relating to own assessment and expectations, previous experience and knowledge, and own needs and wishes. Lower probability was seen for most motives relating to perceived barriers and benefits.Conclusions Patient motives for contacting the two health care service providers were partly overlapping. The study contributes with new knowledge on the complex decision-making process of patients in need of acute health care. This knowledge could help optimise existing health care services, such as patient safety and the service level, without increasing health care costs.

scholarly journals Patient motives for contacting out-of-hours care in Denmark: a cross-sectional study

2020 ◽  
Author(s):  
Linda Huibers ◽  
Anders H Carlsen ◽  
Grete Moth ◽  
Helle C Christensen ◽  
Ingunn S Riddervold ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Emergency Medical Services ◽  
Service Providers ◽  
Care Service ◽  
Health Care Service ◽  
Medical Services ◽  
Cross Sectional ◽  
Out Of Hours ◽  
Emergency Medical

Abstract Background Patients in need of acute health care do not always contact the most suitable health care service provider. Contacting out-of-hours primary care for an urgent problem may delay care, whereas contacting emergency medical services for a non-urgent problem could ultimately affect patient safety. More insight into patient motives for contacting a specific health care provider may help optimise patient flows. This study aims to explore patient motives for contacting out-of-hours primary care and the emergency medical services in Denmark. Methods We conducted a cross-sectional observational study by sending a questionnaire to patients contacting out-of-hours primary care and emergency medical services, both of which can be directly contacted by patients, in two of five Danish regions in 2015. As we aimed to focus on the first access point, the emergency department was not included. The questionnaire included items on patient characteristics, health problem and 26 pre-defined motives. Descriptive analyses of patient characteristics and motives were conducted, stratified by the two health care service providers. Factors associated with contacting each of the two service providers were explored in a modified Poisson regression analysis, and adjusted risk ratios were calculated. Results Three key motives for contacting the two service providers were identified: ‘unpleasant symptoms’, ‘perceived need for prompt action’ and ‘perceived most suitable health care provider’. Other important motives were ‘need arose outside office hours’ and ‘wanted to talk to a physician’ (out-of-hours primary care) and ‘expected need for ambulance’ and ‘worried’ (emergency medical services). Higher probability of contacting the emergency medical services versus out-of-hours primary care was seen for most motives relating to own assessment and expectations, previous experience and knowledge, and own needs and wishes. Lower probability was seen for most motives relating to perceived barriers and benefits. Conclusions Patient motives for contacting the two health care service providers were partly overlapping. The study contributes with new knowledge on the complex decision-making process of patients in need of acute health care. This knowledge could help optimise existing health care services, such as patient safety and the service level, without increasing health care costs.

Comparing Primary Health-Care Service Delivery Disruptions Across Disasters

2021 ◽  
pp. 1-4
Author(s):  
Tiffany A. Radcliff ◽  
Karen Chu ◽  
Claudia Der-Martirosian ◽  
Aram Dobalian
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Care Delivery ◽  
Care Service ◽  
Health Care Service ◽  
Veterans Health ◽  
Hurricane Ike ◽  
Care Appointment ◽  
Care Systems ◽  
Primary Care Appointment

Abstract Objective: The aim of this study was to compare primary care appointment disruptions around Hurricanes Ike (2008) and Harvey (2017) and identify patterns that indicate differing continuity of primary care or care systems across events. Methods: Primary care appointment records covering 5 wk before and after each storm were identified for Veterans Health Affairs (VA) facilities in the greater Houston and surrounding areas and a comparison group of VA facilities located elsewhere. Appointment disposition percentages were compared within and across storm events to assess care disruptions. Results: For Hurricane Harvey, 14% of primary care appointments were completed during the week of landfall (vs 33% for Hurricane Ike and 69% in comparison clinics), and 49% were completed the following week (vs 58% for Hurricane Ike and 71% for comparison clinics). By the second week after Hurricane Ike and third week after Harvey, the scheduled appointment completion percentage returned to prestorm levels of approximately 60%. Conclusions: There were greater and more persistent care disruptions for Hurricane Harvey relative to Hurricane Ike. As catastrophic emergencies including major natural disasters and infectious disease pandemics become a more recognized threat to primary and preventive care delivery, health-care systems should consider implementing strategies to monitor and ensure primary care appointment continuity.

scholarly journals Interdisciplinary versus multidisciplinary care teams: do we understand the difference?

2007 ◽  
Vol 31 (3) ◽  
pp. 330 ◽  
Author(s):  
Rebecca L Jessup
Keyword(s):  
Health Care ◽  
Care Service ◽  
Health Care Service ◽  
Multidisciplinary Care ◽  
Interdisciplinary Teams ◽  
Multidisciplinary Teams ◽  
Health Staff ◽  
Health Care Environment ◽  
The Difference ◽  
Definition Of

AS A MANAGER OF allied health staff in a major metropolitan health care service, I am responsible for recruitment to a variety of different disciplines. One of the questions I regularly ask at interview centres around the applicant?s understanding of interdisciplinary teams in the health care environment. Anecdotally, I would estimate that only around one in ten individuals can provide an accurate definition of the role of an interdisciplinary team. The remainder default to a description of multidisciplinary teams, and some even utilise the terms interchangeably.

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