scholarly journals Actions of a regulatory nurse in the management of surgical waiting lists

2022 ◽  
Vol 75 (2) ◽  
Author(s):  
Rosa Ladi Lisbôa ◽  
Alexandra Jochims Kruel ◽  
Júlia Barreto Marciniak ◽  
Adriana Aparecida Paz
Keyword(s):  
Public Hospital ◽  
Waiting Times ◽  
Effective Communication ◽  
Waiting Lists ◽  
Experience Report ◽  
Health Organizations ◽  
Medical Teams ◽  
Waiting Lines

ABSTRACT Objectives: to describe the actions of the regulatory nurse in the management of waiting lines for elective surgeries in a public hospital. Methods: this is an experience report about the actions of the regulatory nurse in the management of waiting lines for elective surgeries. Results: the results of this initiative were: diminution in waiting times; elimination of discrepancies that led to access inequality; promotion of safer treatments; actions of the nurse as a manager, conducting and mediating situations between services; autonomy from the high management of the hospital with regard to the manager of waiting lists; and effective communication due to a constant feedback with the medical teams. Final Considerations: the management of the surgical waiting lists must be continuous and systematic, and it must be broader, to include teams that are not involved yet. This initiative can be replicated and improved in other health organizations.

scholarly journals Waiting lists: waiting for the evidence!

2008 ◽  
Vol 32 (4) ◽  
pp. 589
Author(s):  
Owen M Bradfield
Keyword(s):  
Health System ◽  
System Performance ◽  
Public Hospital ◽  
Private Health Insurance ◽  
Elective Surgery ◽  
Waiting Times ◽  
Waiting Lists ◽  
Current Evidence ◽  
Health System Performance ◽  
The Media

On 26 February 2008, Victorian State Opposition Leader Ted Baillieu described as a ?blow out? the increase in average elective surgery waiting times from 202 days in September 2007 to 235 days in February 2008. Likewise, the Australian Medical Association is concerned that 800 000 Australians will leave private health insurance now that the federal government has increased the income threshold for the Medicare levy. They warn of ?further pressure? on public hospital waiting lists. Public hospital waiting lists are frequently used for political point scoring and are portrayed by the media and politicians as indicators of health system performance. Alarmingly, governments often develop policies in response. This paper presents the current evidence to see whether waiting lists are valid indicators of health system performance and presents some advice for policymakers.

scholarly journals Evaluation of Emergency Health-Care Initiatives to Reduce Overcrowding in a Referral Medical Complex, Jeddah, Saudi Arabia

2021 ◽  
pp. 1-6
Author(s):  
Khalid Alabbasi ◽  
Estie Kruger ◽  
Marc Tennant
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Public Hospital ◽  
Waiting Times ◽  
Care Centre ◽  
Health Care Centre ◽  
Transfer Policy ◽  
Primary Health ◽  
Before And After ◽  
Ed Visits

<b><i>Purpose:</i></b> Excessive delays and emergency department (ED) overcrowding have become an increasingly major problem for public health worldwide. This study was to assess the key strategies adopted by an ED, at a public hospital in Jeddah, to reduce delays and streamline patient flow. <b><i>Materials and Methods:</i></b> This study was a service evaluation for a Saudi patient population of all age-groups who attended the ED of a public hospital for the period between June 2016 and July 2019. The Saudi initiative to reduce the ED visits at the King Abdullah Medical Complex hospital has started on August 7, 2018. The initiative was to apply an urgency transfer policy which outlines the procedures to follow when patients arrive to the ED where they are reviewed based on the Canadian Triage and Acuity Scale (CTAS). Patients with less-urgent conditions (category 4 and 5) are referred to a primary health-care practice (where a family medicine consultant is available). Patients with urgent conditions (category 1–3) are referred to a specialized health-care centre if the service is not currently provided. To test the effectiveness of ED initiative on reducing the overcrowd, data were categorized into before and after the initiative. The bivariate analysis χ<sup>2</sup> tests and 2 sample <i>t</i>-tests were run to explore the relationship of gender and age with dependent variable emergency. <b><i>Results:</i></b> A total of 233,998 patients were included in this study, 61.8% of them were males and the average age of ED patients were 35.5 ± 18.6 years. The majority of cases were those classified as “less urgent” (CTAS 4), which accounted for 65.4%. Number of ED visits before and after the initiative was 67 and 33%, respectively. ED waiting times after the initiative have statistically significantly decreased across all acuity levels compared to ED waiting times before the initiative. <b><i>Conclusion and Implication:</i></b> The findings suggest that the majority of patients arrive to the ED with less-urgent conditions and arrived by walking-in. The number of cases attending the ED significantly decreased following the introduction of the urgency transfer policy. Referral for less-urgent patients to primary health-care centre may be an important front-end operational strategy to relieve congestion.

Pervasive Business Intelligence Platform to Support the Decision-Making Process in Waiting Lists

2021 ◽  
pp. 848-863
Author(s):  
Marisa Esteves ◽  
Filipe Miranda ◽  
António Abelha
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Business Intelligence ◽  
Waiting Times ◽  
Waiting Lists ◽  
Decision Making Process ◽  
The North ◽  
Health Institutions ◽  
Private Network ◽  
The Web

In recent years, the increase of average waiting times in waiting lists is an issue that has been felt in health institutions. Thus, the implementation of new administrative measures to improve the management of these organizations may be required. Hereupon, the aim of this present work is to support the decision-making process in appointments and surgeries waiting lists in a hospital located in the north of Portugal, through a pervasive Business Intelligence platform that can be accessed anywhere and anytime by any device connected within the hospital's private network. By representing information that facilitate the analysis of information and knowledge extraction, the Web tool allows the identification in real-time of average waiting times outside the outlined patterns. Thereby, the developed platform permits their identification, enabling their further understanding in order to take the necessary measures. Thus, the main purpose is to enable the reduction of average waiting times through the analysis of information in order to, subsequently, ensure the satisfaction of patients.

scholarly journals CORRECT PATIENT IDENTIFICATION: EXPERIENCE WITH THE IMPLEMENTATION OF A PATIENT SAFETY CORE

2019 ◽  
Vol 5 ◽  
Author(s):  
Paula Eduarda Oliveira Honorato ◽  
Tania Monteiro Teixeira
Keyword(s):  
Health Care ◽  
Patient Safety ◽  
Adverse Events ◽  
Lower Risk ◽  
Public Hospital ◽  
Experience Report ◽  
Patient Identification ◽  
Multiprofessional Team ◽  
Identification Process

Objective: to report and evaluate the implementation of the Patient Safety Center, with emphasis on the identification of patients in a public hospital in Piauí. Method: experience report, in which the activities were performed from January to April 2019. The information for analysis came from the situations experienced by the authors in the implementation of the NSP and the patient identification process. Results: There was an improvement and facilitation in the work of the multiprofessional team enabling lower risk of patient exchange, and consequent avoidable adverse events. Conclusion: the implementation of the NSP was reported and analyzed, with a significant improvement in the organization of services, suggesting improvement with the team, highlighting the importance of protocols for better health care.

Telehealth interventions for reducing waiting lists and waiting times for specialist outpatient services: A scoping review

2016 ◽  
Vol 22 (8) ◽  
pp. 504-512 ◽  
Author(s):  
Liam J Caffery ◽  
Mutaz Farjian ◽  
Anthony C Smith
Keyword(s):  
Scoping Review ◽  
Outpatient Care ◽  
Waiting Times ◽  
Waiting Lists ◽  
Referral Process ◽  
Outpatient Services ◽  
Face To Face ◽  
Specialist Services ◽  
Telehealth Intervention

We undertook a scoping review of the published literature to identify and summarise key findings on the telehealth interventions that influence waiting times or waiting lists for specialist outpatient services. Searches were conducted to identify relevant articles. Articles were included if the telehealth intervention restructured or made the referral process more efficient. We excluded studies that simply increased capacity. Two categories of interventions were identified – electronic consultations and image-based triage. Electronic consultations are asynchronous, text-based provider-to-provider consultations. Electronic consultations have been reported to obviate the need for face-to-face appointments between the patient and the specialist in between 34–92% of cases. However, it is often reported that electronic consultations are appropriate in less than 10% of referrals for outpatient care. Image-based triage has been used successfully to reduce unnecessary or inappropriate referrals and was used most often in dermatology, ophthalmology and otolaryngology (ENT). Reported reduction rates for face-to-face appointments by specialty were: dermatology 38–88%, ophthalmology 16–48% and ENT 89%. Image–based triage can be twice as effective as non-image based triage in reducing unnecessary appointments. Telehealth interventions can effectively be used to reduce waiting lists and improve the coordination of specialist services, and should be considered in conjunction with clinical requirements.

scholarly journals MECHANISM FOR POWERLAWS WITHOUT SELF-ORGANIZATION

2002 ◽  
Vol 13 (02) ◽  
pp. 133-136 ◽  
Author(s):  
DIDIER SORNETTE
Keyword(s):  
Power Law ◽  
Waiting Times ◽  
Self Regulation ◽  
Waiting Lists ◽  
Self Organization ◽  
Recent Claim

A recent claim has been made that there must be a self-regulation in the waiting times to see hospital consultants on the ground that the relative changes in the size of waiting lists follow a power law.4 In agreement with simulations of Frecketon and Sutherland, we explain the general nonself-regulating mechanism underlying this result and derive the exponent value -2 exactly. In addition, we provide links with related phenomena encountered in many other fields.

scholarly journals CARE FOR PATIENTS WITH ACCIDENTAL TETANUS THROUGH FIREWORKS: EXPERIENCE REPORT

2020 ◽  
Vol 6 ◽  
Author(s):  
Gessica Louzada Caires ◽  
Laurena Shirlei Fraga dos Reis ◽  
Elaine De Oliveira Souza Fonseca ◽  
Ricardo Bruno Santos Ferreira
Keyword(s):  
Nursing Students ◽  
Data Collection ◽  
Clinical Picture ◽  
Public Hospital ◽  
Descriptive Study ◽  
Experience Report ◽  
Detailed Data ◽  
Emergency Unit ◽  
Study Experience ◽  
Vaccination History

Objective: To report the experience of a care for a person with clinical picture of accidental tetanus, victim of fireworks. Method: It is a descriptive study, experience report type, referring to the experience of a care performed by nursing students in June 2019, in an emergency unit at a regional public hospital in a city in the inland of state of Bahia, Brazil. Results: Victims of burns by fireworks need nursing actions that promote measures to prevent accidental tetanus. These activities can be a detailed data collection, such as observation of vaccination history and wound bed care. Conclusion: From the experience, it was possible to expand the knowledge of nursing students through reflections on the immediate measures related to care with accidental tetanus.

scholarly journals Telehealth to support referral management in a universal health system: a before-and-after study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sabrina Dalbosco Gadenz ◽  
Josué Basso ◽  
Patrícia Roberta Berithe Pedrosa de Oliviera ◽  
Stephan Sperling ◽  
Marcus Vinicius Dutra Zuanazzi ◽  
...  
Keyword(s):  
Linear Models ◽  
Patient Flow ◽  
Waiting Times ◽  
Median Number ◽  
Waiting Lists ◽  
Referral Management ◽  
Before And After ◽  
The Impact ◽  
Universal Health ◽  
Before And After Study

Abstract Background Management of patient flow within a healthcare network, allowing equitable and qualified access to healthcare, is a major challenge for universal health systems. Implementation of telehealth strategies to support referral management has been shown to increase primary care resolution and to promote coordination of care. The objective of this study was to assess the impact of telehealth strategies on waiting lists and waiting times for specialized care in Brazil. Methods Before-and-after study with measures obtained between January 2019 and February 2020. Baseline measurements of waiting lists were obtained immediately before the implementation of a remotely operated referral management system. Post-interventional measurements were obtained monthly, up to six months after the beginning of operation. Data was extracted from the database of the project. General linear models were applied to assess interaction of locality and time over number of cases on waiting lists and waiting times. Results At baseline, the median number of cases on waiting lists ranged from 2961 to 12,305 cases. Reductions of the number of cases on waiting lists after six months of operation were observed in all localities. The magnitude of the reduction ranged from 54.67 to 88.97 %. Interaction of time measurements was statistically significant from the second month onward. Median waiting times ranged from 159 to 241 days at baseline. After six months, there was a decrease of 100 and 114 waiting days in two localities, respectively, with reduction of waiting times only for high-risk cases in the third locality. Conclusions Adoption of telehealth strategies resulted in the reduction of number of cases on waiting lists. Results were consistent across localities, suggesting that telehealth interventions are viable in diverse settings.

scholarly journals Waiting time information services: how well do different statistics forecast a patient's wait?

2002 ◽  
Vol 25 (6) ◽  
pp. 75 ◽  
Author(s):  
David A. Cromwell ◽  
David A. Griffths
Keyword(s):  
Waiting Time ◽  
Public Hospital ◽  
Elective Surgery ◽  
Waiting Times ◽  
Information Services ◽  
Waiting List ◽  
Web Based ◽  
Time Information ◽  
Sydney Australia ◽  
Patient Waiting

This study investigates how accurately the waiting times of patients about to join a waiting list are predicted by the types of statistics disseminated via web-based waiting time information services. Data were collected at a public hospital in Sydney, Australia, on elective surgery activity and waiting list behaviour from July 1995 to June 1998.The data covered 46 surgeons in 10 surgical specialties. The accuracy of the tested statistics varied greatly, being affected more by the characteristics and behaviour of a surgeon's waiting list than by how the statistics were derived. For those surgeons whose waiting times were often over six months, commonly used statistics can be very poor at forecasting patient waiting times.

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