scholarly journals Modeling the Impact of Integrating HIV and Outpatient Health Services on Patient Waiting Times in an Urban Health Clinic in Zambia

2012 ◽  
Author(s):  
Sarang Deo ◽  
Stephanie M. Topp ◽  
Ariel Garcia ◽  
Mallory Soldner ◽  
Kezban Yagci ◽  
...  
Keyword(s):  
Health Services ◽  
Urban Health ◽  
Waiting Times ◽  
Health Clinic ◽  
Outpatient Health Services ◽  
The Impact ◽  
Patient Waiting

scholarly journals Modeling the Impact of Integrating HIV and Outpatient Health Services on Patient Waiting Times in an Urban Health Clinic in Zambia

PLoS ONE ◽  
2012 ◽  
Vol 7 (4) ◽  
pp. e35479 ◽  
Author(s):  
Sarang Deo ◽  
Stephanie M. Topp ◽  
Ariel Garcia ◽  
Mallory Soldner ◽  
Kezban Yagci Sokat ◽  
...  
Keyword(s):  
Health Services ◽  
Urban Health ◽  
Waiting Times ◽  
Health Clinic ◽  
Outpatient Health Services ◽  
The Impact ◽  
Patient Waiting

The Impact of Assertive Community Treatment on Utilization of Primary Care and Other Outpatient Health Services

2013 ◽  
Vol 19 (4) ◽  
pp. 195-204 ◽  
Author(s):  
Elizabeth Wiley-Exley ◽  
Marisa Elena Domino ◽  
Thomas C. Ricketts ◽  
Gary Cuddeback ◽  
Barbara J. Burns ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Services ◽  
Assertive Community Treatment ◽  
Community Treatment ◽  
Outpatient Health Services ◽  
The Impact

scholarly journals Factors Associated With Patient Waiting Time at a Medical Outpatient Clinic: A Case Study of University of Nairobi Health Services

2021 ◽  
Vol 6 (12) ◽  
pp. 915-918
Author(s):  
Rebecca Bisanju Wafula (BSCN, MSCHSM) ◽  
Dr. Richard Ayah (MBCHB, MSC, PHD)
Keyword(s):  
Health Services ◽  
Health Care Providers ◽  
Waiting Time ◽  
Outpatient Clinic ◽  
Health Workers ◽  
Waiting Times ◽  
Care Providers ◽  
Cross Sectional ◽  
Patient Waiting Time ◽  
Patient Waiting

Background: Long waiting time in outpatient clinics is a constant challenge for patients and the health care providers. Prolonged waiting times are associated with poor adherence to treatment, missed appointment and failure or delay in initiation of treatment and is a major factor towards the perception of the patient towards the care received. Objective: To determine the waiting time and associated factors among out patients attending staff clinic at University of Nairobi health services. Method: A cross-sectional study design was used and data collected from 384 ambulatory patients over a period of four weeks using an interviewer administered pretested structured exit questionnaire with a time-tracking section. Simple random sampling was used to select respondents in a walk- in outpatient clinic set up. Data was cleaned and analysed using Statistical Package for Social Sciences (SPSS) 20. Analysis of variance (ANOVA), and cross tabulation was used to establish associations between the independent variable and dependent variables. Results: In total 384 patients were tracked and interviewed. The average patient waiting time was 55.3mins.Most respondents (52%) suggested that improving availability of staff at their stations would help to reduce patient waiting time. In this study, gender (P=0.005) and availability of doctors (p=0.000) were found to affect patient waiting time with women waiting longer than the male patients. Conclusion: Majority of the patients spent about an hour at the facility to be served. Inadequate number of health workers was the main cause of long waiting time.

Transient Modeling in Simulation of Hospital Operations for Emergency Response

2006 ◽  
Vol 21 (4) ◽  
pp. 223-236 ◽  
Author(s):  
Jomon Aliyas Paul ◽  
Santhosh K. George ◽  
Pengfei Yi ◽  
Li Lin
Keyword(s):  
Waiting Times ◽  
Exponential Model ◽  
Hospital Capacity ◽  
Modeling Approach ◽  
System A ◽  
Hospital Operations ◽  
Transient Modeling ◽  
Patient Waiting Time ◽  
The Impact ◽  
Patient Waiting

AbstractRapid estimates of hospital capacity after an event that may cause a disaster can assist disaster-relief efforts. Due to the dynamics of hospitals, following such an event, it is necessary to accurately model the behavior of the system. A transient modeling approach using simulation and exponential functions is presented, along with its applications in an earthquake situation. The parameters of the exponential model are regressed using outputs from designed simulation experiments. The developed model is capable of representing transient, patient waiting times during a disaster. Most importantly, the modeling approach allows real-time capacity estimation of hospitals of various sizes and capabilities. Further, this research is an analysis of the effects of priority-based routing of patients within the hospital and the effects on patient waiting times determined using various patient mixes. The model guides the patients based on the severity of injuries and queues the patients requiring critical care depending on their remaining survivability time. The model also accounts the impact of prehospital transport time on patient waiting time.

scholarly journals Rapid Transition of an Allied Health Clinic to Telehealth During the COVID-19 Pandemic: Satisfaction and Experience of Health Professionals, Student Practitioners, and Patients

2021 ◽  
Author(s):  
Michelle Krahe ◽  
Maya Conway ◽  
Simone Howells ◽  
Kara Roffey ◽  
Sheena Reilly
Keyword(s):  
Health Services ◽  
Allied Health ◽  
Digital Health ◽  
Exercise Physiology ◽  
Health Clinic ◽  
Categorical Variables ◽  
Health Technologies ◽  
Telehealth Service ◽  
Health Practitioners ◽  
The Impact

Purpose: With COVID-19 social distancing measures requiring a shift in how healthcare is delivered, telehealth service provision allows patients to receive care remotely while adhering to relevant safety regulations. This study investigated the perceptions and experiences of allied health practitioners and their patients at a multidisciplinary allied health clinic that rapidly transitioned to telehealth service delivery. Method: Allied health practitioners (both qualified and student) and patients were recruited during the transition to telehealth across a large healthcare facility located on the Gold Coast, Australia. Participants were surveyed after each telehealth session rating their satisfaction and experience across four areas (technical, administrative and operational, privacy, communication). Descriptive statistics were used to express categorical variables and a chi-square test of independence was applied to determine the presence of any associations. Results: Surveys (n=197) were collected from allied health practitioners (n = 31) and their patients (n = 70). Overall, high levels of satisfaction and experience with telehealth among patients and a consensus in satisfaction and experience among exercise physiology, physiotherapy and psychology practitioners were reported. Speech pathology student practitioners rated their satisfaction and telehealth experience significantly (p < 0.001) lower than other disciplines. A significant relationship [χ2 (2, n = 127) = 7.49, p = .02] between student practitioners and the impact of telehealth on achieving session goals and outcomes was also identified. Conclusions: This study highlights complexities related to the acceptability and adoption of telehealth, technical aspects, and user functionality which contribute to the growing body of evidence supporting digital health technologies in the delivery and access to allied health services. In a multidisciplinary context, this study advocates for the consideration of discipline-specific issues when designing and implementing digital health services.

scholarly journals The Use of Information Technology to Short the Waiting Time for Examination of Road Care Patients at RSU Islam Klaten

2021 ◽  
Vol 04 (01) ◽  
Author(s):  
Owin Bambang Wijanarko ◽  
Keyword(s):  
Information Technology ◽  
Patient Satisfaction ◽  
Health Services ◽  
Waiting Time ◽  
Waiting Times ◽  
Value Added ◽  
Outpatient Services ◽  
Cross Sectional ◽  
Patient Waiting Time ◽  
Patient Waiting

Background: Outpatient services are a reflection of hospital services.As a form of health service facility that organizes health efforts, hospitals often experience difficulties in managing information for both internal and external needs. One form of application is through service systems by utilizing information technology through the use of computer-based on information systems.The Lean Hospital concept, which has been successfully implemented in several hospitals, is expected to eliminate waste and add value added activity which will ultimately increase patient satisfaction. Purpose: The purpose of this study was to calculate patient waiting time with the application of information technology in the outpatient polyclinic of RSU Islam Klaten. Research methods: This type of research uses a descriptive analytic method. This research meth-od used a cross sectional approach. The sample in this study amounted to 81 respondents with the sampling technique using purposive sampling. The analysis in research using the t-test. The re-search instruments used included literature studies, interviews and direct observation of medical record officers, nurses of polyclinic nurses, registration departments, and patients at RSU Islam Klaten. Result: There is a significant relationship between waiting time and patient satisfaction p = 0.001. Patients with long waiting times were more dissatisfied (60.0%), while fast waiting times were more very satisfied (73.9%). Conclusion: The success of health services is seen from the patient's waiting time and patient satisfaction. Waiting time is the time used by patients to get health services from the registration point to getting in the doctor's examination room. Overall information technology shortens patient waiting time in parts of registration-polyclinic and Pharmacy.

scholarly journals Consultation liaison to support efficient delivery of mental health care

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S317-S317
Author(s):  
Emma Davies ◽  
Mihaela Bucur
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Health Services ◽  
Health Services ◽  
Secondary Care ◽  
Waiting Times ◽  
Individual Treatment ◽  
Efficient Treatment ◽  
Number Of Patients ◽  
The Impact

AimsTo study the impact of collaborative working, via consultation liaison, between Mental Health Liaison Practitioners (MHLPs) and Doctors within a secondary care mental health service. We hypothesise that this model of working may avoid unnecessary clinic appointments and waiting times, whilst providing patients with more efficient treatment.BackgroundMental health services are stretched, understaffed and under-resourced. It is estimated that 75% of people with mental health problems in England may not get access to the treatment they need. We therefore need efficient and innovative ways for people who seek help to receive support. Good practice consultation liaison involves face to face contact between clinicians; treatment can be delivered by supporting primary care whilst reducing the burden of secondary care mental health services.MethodRegular 30-minute sessions within an Assessment and Treatment Service, between MHLPs and Doctors, at both Consultant and Trainee level, were coordinated. Patients assessed by MHLPs were discussed by opening a dialogue whereby further management was discussed across a multi-professional team. A record was created of all patients discussed and the outcome.ResultNumber of MHLP/Doctor sessions: 10 across a six-month period.Number of patients discussed: 17.Medication advice provided for 16 patients. One patient required a referral for a clinic appointment.For several patients, integrated working procured alternative care pathways and resources to be considered, to incorporate into individual treatment plans.ConclusionRegular consultation liaison with MHLPs and Doctors is a model of working across the interface between primary care and specialist mental health services. It may provide patients with more efficient care, whilst avoiding unnecessary waiting times for clinic appointments. The consultation liaison working supported the development of an educative relationship between clinicians, with interprofessional learning. This is an example of an integrated and collaborative care model, whereby multi-professional working can provide efficient and effective treatment, whilst the support for the patient can remain in the primary care setting.

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