The Waiting Time at Emergency Departments at Khartoum State-2005

Similar documents
APPLICATION OF SIMULATION MODELING FOR STREAMLINING OPERATIONS IN HOSPITAL EMERGENCY DEPARTMENTS

Thank you for joining us today!

Performance Measurement of a Pharmacist-Directed Anticoagulation Management Service

The costs and benefits of managing some low-priority 999 ambulance calls by NHS Direct nurse advisers

Primary Care Meets Population Health: The Parable of Preventable Hospitalizations

The Royal College of Surgeons of England

Perceptions of the role of the hospital palliative care team

PHYSIOTHERAPY PRESCRIBING BETTER HEALTH FOR AUSTRALIA

Countywide Emergency Department Ambulance Patient Transfer of Care Report Performance Report

Inpatients satisfaction with physician services in Khartoum State hospital wards, Sudan

What constitutes continuity of care in schizophrenia, and is it related to outcomes? Discuss. Alastair Macdonald

Emergency Department Patient Experience Survey Highlights

Analyzing Readmissions Patterns: Assessment of the LACE Tool Impact

NHS Diagnostic Waiting Times and Activity Data

Registrant Survey 2013 initial analysis

Evaluation of an independent, radiographer-led community diagnostic ultrasound service provided to general practitioners

Improving patient satisfaction by adding a physician in triage

Telephone consultations to manage requests for same-day appointments: a randomised controlled trial in two practices

LWOT Problem Tool. Quotes Surge Scenarios LWOT. Jeffery K. Cochran, PhD James R. Broyles, BSE

ORIGINAL RESEARCH ABSTRACT

Piloting Bundled Medicare Payments for Hospital and Post-Hospital Care /

4.09. Hospitals Management and Use of Surgical Facilities. Chapter 4 Section. Background. Follow-up on VFM Section 3.09, 2007 Annual Report

emja: Measuring patient-reported outcomes: moving from clinical trials into clinical p...

BCEHS Resource Allocation Plan 2013 Review. Summary Report

NHS Diagnostic Waiting Times and Activity Data

Assessment of emergency room cycle time in a tertiary hospital in Egypt

about urgent healthcare

Developing an urgent care strategy for South Tees how you can have your say July/August 2015

NHS Diagnostic Waiting Times and Activity Data

NHS Diagnostic Waiting Times and Activity Data

Physiotherapy outpatient services survey 2012

A Conceptual Model of Emergency Department Crowding

Perfecting Emergency Department Operations

NHS Diagnostic Waiting Times and Activity Data

Chapter 14 Regina Qu Appelle Regional Health Authority Safe and Timely Discharge of Hospital Patients 1.0 MAIN POINTS

Emergency department overcrowding, mortality and the 4-hour rule in Western Australia. Abstract. Methods

EFFECTIVE ROOT CAUSE ANALYSIS AND CORRECTIVE ACTION PROCESS

NHS SERVICE DELIVERY AND ORGANISATION R&D PROGRAMME

Organisational factors that influence waiting times in emergency departments

Discharge to Assess Standards for Greater Manchester

Performance Improvement Bulletin

Patient Safety Assessment in Slovak Hospitals

Improving patient access to general practice

The number of patients admitted to acute care hospitals

Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds.

Overview. Dr Stephen Gulliford & AKI Specialist Nurse Suzanne Wilson Page 1

The PCT Guide to Applying the 10 High Impact Changes

Where Does It Fit? Design of Tools Fruzsina Pataky, B.Sc(Pharm), MBA Medication Safety Coordinator Providence Health Care

VJ Periyakoil Productions presents

The 18-week wait programme

Nursing skill mix and staffing levels for safe patient care

Factors Influencing Waiting Time as Key of Patient Satisfaction in the Emergency Department in King Fahd Armed Forces Hospital, Saudi Arabia

ResearcH JournaL 2012 / VOL

CUSTOMERS SATISFACTION TOWARD OPD SERVICE AT SOMDEJPHRAPHUTHALERTLA HOSPITAL, MUANG DISTRICT, SAMUTSONGKRAM PROVINCE, THAILAND

Seven day hospital services: case study. South Warwickshire NHS Foundation Trust

TRIAGE SYSTEMS FOR TRAUMA CARE

COMPUTER ASSISTED MEDICAL HEALTH SYSTEM FOR THE BENEFIT OF HARD TO REACH RURAL AREA

Racial disparities in ED triage assessments and wait times

Queensland public sector nurse executives: job satisfaction and career opportunities

Evaluation of the Threshold Assessment Grid as a means of improving access from primary care to mental health services

T he National Health Service (NHS) introduced the first

Predict, prevent & manage AKI: A UK collaboration to detect a devastating condition AKI

NHS Diagnostic Waiting Times and Activity Data

NHS Diagnostic Waiting Times and Activity Data

Toronto s Mental Health and Addictions Emergency Department Alliance

Patients Not Included in Medical Audit Have a Worse Outcome Than Those Included

Implementation of the right to access services within maximum waiting times

Quality Management Building Blocks

Case-mix Analysis Across Patient Populations and Boundaries: A Refined Classification System

NEW INNOVATIONS TO IMPROVE PATIENT FLOW IN THE ED AND HOSPITAL OCTOBER 12, Mike Williams, MPH/HSA The Abaris Group

George Mark Children s House: Providing Holistic Care for Children with Life-Limiting. Comprehensive. Life-Limiting Diagnoses

PATIENT RIGHTS ACT (SCOTLAND) 2011 ACCESS POLICY FOR TREATMENT TIME GUARANTEE

Countywide Emergency Department Ambulance Patient Transfer of Care Report Performance Report

Design Principles for Learning and Caring in Patient-Centered Primary Care Homes

Recent changes in the delivery and financing of health

The goal of Ontario s Wait Time Strategy launched in

Improving General Practice for the People of West Cheshire

GUIDE TO ENHANCING REFERRALS AND CONSULTATIONS BETWEEN PHYSICIANS. October 2009

Nursing in Primary Health Care: Maximising the nursing role. Associate Professor Rhian Parker Australian Primary Health Care Research Institute

BOLTON NHS FOUNDATION TRUST. expansion and upgrade of women s and children s units was completed in 2011.

Continuing nursing education: best practice initiative in nursing practice environment

The UCLH Productive Outpatients Programme

Can we monitor the NHS plan?

Communication and Medical Malpractice

Australasian Health Facility Guidelines. Part B - Health Facility Briefing and Planning Medical Assessment Unit - Addendum to 0340 IPU

Factors Associated with Patients Who Leave without Being Seen

but several near misses highlighted that the associated training may not have been widely introduced.

The Determinants of Patient Satisfaction in the United States

Can primary care reform reduce demand on hospital outpatient departments? Key messages

Briefing. Free choice at the point of referral. march 2008

Introducing a 7-day service: the benefits of increased consultant presence

Essential Characteristics of an Electronic Prescription Writer*

General practitioner workload with 2,000

Using Facets of Midas+ Hospital Case Management to Support Transitions of Care. Barbara Craig, Midas+ SaaS Advisor

NHS Diagnostic Waiting Times and Activity Data

Improving Clinic Efficiency of a Family Medicine Teaching Clinic

Community Pharmacy in 2016/17 and beyond

Targets, flow, exit block, stranded patients, red2green. What s any of this got to do with good patient care?

Application of Value Engineering to Improve Discharging Procedure in Healthcare Centers (Case Study: Amini Hospital, Langroud, Iran)

An analysis of the average waiting time during the patient discharge process at Kashani Hospital in Esfahan, Iran: a case study

Transcription:

Original Article The Waiting Time at Emergency Departments at Khartoum State-2005 Sara AM Abd Elaal MD 1, Yousif A. Ibrahim MD 2, 1 General Specialist, 2 Professor of Community Medicine, Head Department of Community Medicine, Omdurman Islamic University, Faculty of Medicine Mobile: +249-922207299. Abstract Background: Emergency medical services are supposed to provide fast appropriate responses to life-threatening situations. Prolong waiting time poses an increase risk to patents. This study aims to measure the waiting time in the Emergency Departments in the 3 main hospitals in Khartoum. Methods: This descriptive cross- sectional study was conducted at the three main hospitals in Khartoum State during October 2005. Patients were classified according to urgency into two categories HOT and COLD. Time spent before being seen by a doctor, consultation time, waiting time for laboratory results, mean waiting time at the pharmacy and opinion about waiting time at the hospital service were examined as potential predictors of waiting time. Results: The results showed that 77% of the cases attending emergency departments were not at all emergency cases and can be easily managed at Primary Health Care level. The mean waiting time was 14.46 minutes. The mean consultation time per patient (both HOT and COLD) was 7.1 minutes. The longest waiting time spent was in the laboratory. Conclusion: This study concluded that overburdening the system unnecessarily by cold cases, probably delays the management of serious cases and increases the time spent in the different departments. Key words: waiting time, emergency department, patient satisfaction 1.1 Introduction Emergency medical services poses one of the main problems of the health care system. They need to provide fast appropriate responses to life-threatening situations, with resources appropriately distributed. Prolonged waiting time for patients in the emergency department is associated with reduced patient satisfaction, and an increased risk of leaving without being seen. This in turn, is associated with high rates of poorer health outcomes (1). Short waiting time on the other hand, is considered as one of the criteria for high quality health services (2). Waiting time is defined in many different ways eg. time that the patient spend since his registration up to the time of the start of consultation (2, 3) or the time that the client spends from arrival at the hospital until completing service or prescription. Waiting time is also defined as the total visit duration-from his registration to discharge/transfer or admission. This time is expressed in minutes (4). The waiting time of the client to be seen by an emergency department officer varies from one area to another (2), depending on the number and/or severity of other patients in the department at any given time. This waiting time is based upon the doctor s assessment. Waiting time in a hospital emergency department is a valuable indicator to be considered. The emergency department is often the first and most critical point of contact with the health system (1). Decreasing the waiting time in Sudan has been identified as a high priority area by the Ministry of Health (2,7.8). As a result, several initiatives have been introduced in an attempt to solve this problem (9,10,11). Many hospital emergency departments seek to improve customer services, by decreasing waiting time, using such measures as registering people just out side, streamlining systems that transfer specimens to the laboratory, and developing alternative systems for improving patient flow and processing laboratory tests (12). It is clearly important to reduce waiting time, Sudanese Journal of Public Health: April 2006, Vol.1 (2) 122

yet it is highly unlikely that the current initiatives will abolish long waiting time completely. It is also important that waiting time be equitable for individuals. Patient s waiting time should be related only to clinical need. It may act as a barrier to access to health care, and equity. Of course, access to health care is an important goal and indicator for the National Health System (NHS) (13). The international standard waiting time in the developing countries is 30 minutes or less (2). Within Khartoum State there are 18 hospitals managed and monitored by the Federal Ministry of Health, 10 of these hospitals have an emergency services around the clock. Reducing waiting time is critical where many patients need a swift and urgent response. The Emergency Departments (EDs) represent the first point of contact of the patient with the hospital system. Recently these were equipped with more advanced and sophisticated medical equipment and better qualified and trained skilled personnel (2). The length of time that the patient encounters in emergency department is affected by a number of factors including the time of presentation, number of patients, numbers and ratios of doctors and nurses to patients, type of treatment, type of investigations etc. However, the most common reason for such delays is simply the delay in laboratory and radiology units. The other factor is that the personnel are not adequate in either numbers or training (14). This work attempts to study the waiting time of patients attending Emergency Department in the three main hospitals in Khartoum State. Methodology Study Design: This is a descriptive cross-sectional hospital-based study carried out in the Emergency Departments of the main Federal Hospitals at Khartoum State. Study Area: Khartoum State is located in central Sudan and occupies 28,000 square kilometers. The total number of population is estimated to be 5,232,348 (1993 census). Study populations: All patients attending to EDs at Khartoum Teaching Hospital (KTH), Khartoum North Teaching Hospital (KNTH) and Omdurrman Teaching Hospital (OTH) during the period 25 th to 31 st of October 2005 were included with exclusion of patients presented to paediatrics, traumatology and obstetrics and gynaecology department. Data collection and analysis: Data was collected by medical doctors and other trained social workers. A pre-tested questionnaire was used for data collection. Patients were interviewed by the data collectors who at the same time observed what is going on. Data was analyzed using SPSS. Tables, graphs and test of significance were used where appropriate. Results A total of 1310 patients were interviewed, of them 294 (23%) were classified as hot cases and 986 (77%) as cold cases. Hot cases represent 16.7% (81), 33.7% (122) and 20.9% (91) out of 483,362 and 435 patients seen at KTH, KNTH and OTH emergency departments respectively. The mean waiting time (MWT) for hot cases was reported to be 10.55, 7.46 and 10.30 minutes at KTH, KNTH and OTH EDs respectively (overage of 9.44 minutes). For cold cases the MWT range between 10.1 to 19.31 minutes with an average of 14.8 minutes. The preservice waiting time for hot cases recorded as 1.96, 0.57 and 0.0 minutes in KTH, KNTH and OTH respectively with an average of 0.81 minutes. Consultation time was 8.10 and 6.82 minutes in average for hot and cold cases respectively. Laboratories waiting time was reported as 25.74 minutes for hot cases and of 35.68 minutes for cold cases (Table 1). Overall, hot cases average waiting Sudanese Journal of Public Health: April 2006, Vol.1 (2) 123

time was 9.19 compared to 14.81 minutes for cold cases. Patient interview revealed that they stay long waiting time for laboratory results (55%) to be ready (table 2) Table 1: Waiting time for different services in minutes Hospitals Hot Cold N MWT PWT CWT LWT PhWT N MWT PWT CWT LWT PhWT KTH 81 10.55 1.96 9.21 28.64-402 19.31 12.4 8.66 51.42 - KNTH 122 7.46 0.57 8.21 18.95-240 10.01 11.89 5.8 18.23 - OTH 91 10.30 0.0 6.98 32.29-344 12.90 12.23 4.89 29.46 - Average 249 9.20 0.81 8.10 25.74 2.12 986 14.81 12.23 6.8 35.68 5.5 Table 2: Patient s opinion about waiting time Patient opinion about waiting time Clinic Laboratory Pharmacy % % % Short 62% 6% 16% Reasonable 24% 39% 74% Long 14% 55% 10% Total 100% 100% 100% Discussion This is a descriptive cross-sectional study conducted in Khartoum State to determine the waiting time of patients attending the three main Emergency Departments. For practical reasons patients were classified as hot or cold cases; based on the urgency and severity of their condition, and their provisional diagnosis. As reflected by the study, more cold cases than hot were seen. This is similar with that found in Khartoum State in 1999, (75 % cold and 25% hot) (2). However, a study done in Toronto in Canada, 2003 (15), found that, only 54% were cold and 46% were hot. In Ontario in 2003-2004 (16), 57% of cases were cold while 43% were hot cases. Our service showed a significantly larger proportion of cold cases barraging the Emergency Departments, than in Canada. This big number of cold cases in Emergency Departments will undoubtedly cause overcrowding at Emergency Departments. These may be easily seen at the Primary Health Care level. High risk cases can then be referred to the hospitals. Good utilization of Primary Health Care services will allow for optimal care for hot cases; in Emergency Departments. This will result in a shorter waiting time, good outcome and better quality of health services. With regard to categorization of cases into hot and cold (1,2) KNTH has the highest proportion of real emergency cases compared to OTH and KTH. However, KTH has the highest proportion of cold cases. Although the total number of patients attending emergency departments are generally higher in KTH (37.8%), but hot cases are higher in KNTH, this is due to the fact that KNTH Emergency Department was established first, with good sorting out or triage system and good referral system at Primary Health Care level, and due to service delivery system at KNTH. The overall mean waiting time for patients attending these three Emergency Departments, was 14.46 minutes. In hot cases, it was shorter (9.2 minutes). One explanation is that hot cases have a relatively short waiting time because they are directly referred to receive first aid treatment. This may indicate the efficiency of the sorting out process in EDs. Sudanese Journal of Public Health: April 2006, Vol.1 (2) 124

With regards to the waiting time for hot and cold cases, the average waiting time for hot cases was 9.2 and 14.81 minutes for cold cases. It was lower in KNTH than the others. This also might indicate a better quality assurance in KNTH or better trained personnel for sorting out and handling of patients. Also in cold cases seen, KNTH has the shortest waiting time (10.01 minutes), OTH significantly longer 12.90 minutes and KTH almost double the time (19.31 minutes). One explanation may be that KTH handles rather complicated cases and the number of cold cases is larger. Overall, pre-service waiting time was 9.61 minutes but it is short in hot cases (only 0.81 minutes) in almost all hospitals. Understandably, it is longer for cold cases 12.23. Again it was significantly shorter in KNTH (11.89 minutes) but it was 12.28 minutes in OTH and 12.40 in KTH. This delay may be due to difficult sorting out, larger number of patients or fewer numbers of doctors assigned for cold cases. Regrettably it could also be due to delay in settling financial matters by patients before being seen. In general, KNTH has the shortest waiting time indicating experience in delivering emergency services. In Australia, in 2003-04, patients were categorizes into 4 sectors. Category 1 seen immediately. Category 2 seen within 10 minutes, Category 3 seen within 30 minutes and Category 4 seen within 1 hour (17). The mean consultation time for patients in Emergency Department was 7.10 minutes. It looks longer in hot cases (8.10 minutes, versus 6.80 minutes for cold cases). However, there are significant differences between the three hospitals. OTH had shortest consultation time (5.32 minutes). One possible explanation is that in OTH most of the cases were simple and can be easily diagnosed. Consultation time was longer for hot cases. This compares favorably with consultation times in Scotland where it was approximately seven minutes. The Royal College of General Practitioners recommended a minimum of 10 minutes (18). From my own personal observations, I found that the rather long consultation time for cold cases in KTH is due to the more systematic handling, examination and treating of each patient judiciously. Moreover, KTH handles rather complicated cases that require greatest medical attention compared to the other two hospitals. It is concluded that, overburdening the system unnecessarily by cold cases probably delays the sorting out of cases and increases the time spent in different departments. There is a need to direct cold cases to primary health care units. This could be done through extensive awareness programme and through revival of the referral system. References 1. http://www.getform.com\previous2005\200305- waitingtimesforpublicsectoremergen-cydepts.htm ٢. وزارة الصحة الاتحادية ا دارة الجودة تقرير عن الا جراءات العامة للحوادث من اجل خدمة اسعافية متميزة وتناغم حركة العمل بالحوادث ٢٠٠٥ م 3. Available from http://www.bma.org.uk/ap.nsf/content/briefingaccess accessed on 14 November 2005 4. Available from http://www.sharp.com/hospital/index.cfm?id=2720feb ruary16/2005tt 5. Available from http//www.cihi.ca/cihiweb/en/media- 14sep2005-tab2-e.html in 2003-04. 6. Available from http://www.ran.org/cgibin/health/showab.cgi?key=2003&js=2003 7. Lambe S, Washington DL, Fink A, Laouri M, Liu H, Fosse JS, Brook RH, Asch SM. Waiting Times in California s Emergency Departments. Annals of Sudanese Journal of Public Health: April 2006, Vol.1 (2) 125

Emergency Medicine, Vol. 41, No. 1, Jan 2003, pp. 35-44 8. Schull MJ, Kiss A and Katic M. The Effect of Lowacuity Patients on Emergency Department Waiting Times. Institute for Clinical Evaluative Sciences: Toronto, Ontario, Canada, Sunnybrook and Women's College Hospital: April 2002- Mars 2003 : 9. Cooke MW, Wilson S, Pearson S. Fast tracking of minor injuries. Emerg Med J 2003;19:28 30. 10..Lammy D. Reforming emergency care; for patients. Emerg Med J 2003;20:112 11. Spaite DW, Bartholomeaux F, Guisto J, et al. Rapid process redesign in a university-based emergency department: decreasing waiting time intervals and improving patient satisfaction. Ann Emerg Med 2002;39:168 77. 12. Gulliford M, Hughes D, Figeroa-Munoz J, et al. Access to health care. Report of a scoping exercise for the National Co-ordinating Centre for NHS Service. Delivery and Organisation R&D (NCCSDO). London: Department of Health, 2001. 13. Department of Health. Reforming emergency care. London: Department of Health, 2001 14. Available from http://www.caep.ca/004.cjemjcmu/004-00.cjem/vol- 3.2001/v32-082.htm. 15. Department of Health. The NHS plan. London: Department of Health, 2000. 16. Annual researches of the press. ١٧. وزارة الصحة بولاية الخرطوم الا دارة العامة للتخطيط ا دارة البحوث النشرة السنوية للبحوث (تقرير) ١٩٩٩ م 18. Bindman AB, Grumbach K, Keane D, et al. Consequences of queuing for care at a public hospital emergency department. JAMA 1991; 266:1091 Sudanese Journal of Public Health: April 2006, Vol.1 (2) 126