1
|
Harding KE, Lewis AK, Dennett A, Hughes K, Clarke M, Taylor NF. An evidence-based demand management strategy using a hub and spoke training model reduces waiting time for children's therapy services: An implementation trial. Child Care Health Dev 2024; 50:e13154. [PMID: 37487607 DOI: 10.1111/cch.13154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 05/21/2023] [Accepted: 06/28/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND Waiting lists for community-based paediatric therapy services are common and lead to poorer health outcomes, anxiety and missed opportunities for treatment during crucial developmental stages. The Specific Timely Appointments for Triage (STAT) model has been shown to reduce waiting lists in a range of health settings. AIMS To determine whether providing training and support in the STAT model to champions within five community health centres using a remote 'hub and spoke' approach could reduce waiting time from referral to first appointment. METHODS Representatives from five community health centres providing paediatric therapy services (speech therapy, occupational therapy and other allied health services) participated in five online workshops over 6 months. They were guided sequentially through the steps of the STAT model: understanding supply and demand, reducing backlogs, preserving space for new patients based on demand and redesigning models of care to maintain flow. Waiting time was measured in three consecutive years (pre, during and post intervention) and compared using the Kruskal-Wallis test. Employee satisfaction and perception of the model were explored using surveys. RESULTS Data from 2564 children (mean age 3.2 years, 66% male) showed a 33% reduction in waiting time from the pre-intervention (median 57 days) to the post-intervention period (median 38 days, p < 0.01). The total number of children waiting was observed to reduce from 335 immediately prior to the intervention (mean per centre 67, SD 25.1) to 112 (mean 22, SD 13.6) after implementation (t[8] = 3.56, p < 0.01). There was no impact on employee satisfaction or other aspects of service delivery. CONCLUSION Waiting lists are a major challenge across the health system. STAT provides a practical, low-cost, data-driven approach to tackling waiting times. This study demonstrates its effectiveness in paediatric therapy services and provides evidence for a 'hub and spoke' approach to facilitate implementation that could be provided at scale.
Collapse
Affiliation(s)
- Katherine E Harding
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
- Eastern Health Allied Health Clinical Research Office, Box Hill, Australia
| | - Annie K Lewis
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
- Eastern Health Allied Health Clinical Research Office, Box Hill, Australia
| | - Amy Dennett
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
- Eastern Health Allied Health Clinical Research Office, Box Hill, Australia
| | - Kylie Hughes
- Department of Families, Fairness and Housing, Government of Victoria, Melbourne, Australia
| | - Michelle Clarke
- Department of Health, Government of Victoria, Melbourne, Australia
| | - Nicholas F Taylor
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
- Eastern Health Allied Health Clinical Research Office, Box Hill, Australia
| |
Collapse
|
2
|
McCann B, Hunter SC, McAloney-Kocaman K, McCarthy P, Smith J, Calveley E. Time for You: A process evaluation of the rapid implementation of a multi-level mental health support intervention for frontline workers during the COVID-19 pandemic. PLoS One 2023; 18:e0293393. [PMID: 37889922 PMCID: PMC10610521 DOI: 10.1371/journal.pone.0293393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
The coronavirus (COVID-19) pandemic had wide-ranging negative impacts on mental health. The pandemic also placed extraordinary strain on frontline workers who were required to continue working and putting themselves at risk to provide essential services at a time when their normal support mechanisms may not have been available. This paper presents an evaluation of the Time for You service, a rapidly developed and implemented intervention aimed at providing frontline workers with quick access to flexible online mental health support. Time for You provided service users with three service options: self-guided online cognitive behavioural therapy (CBT) resources; guided engagement with online CBT resources; 1-1 psychological therapy with trainee sport and exercise psychologists and trainee health psychologists. A process evaluation informed by the Consolidated Framework for Implementation Research considered service fidelity, adaptations, perceived impact, reach, barriers, and facilitators. Interviews with project managers (n = 5), delivery staff (n = 10), and service users (n = 14) explored perceptions of the service implementation and outcomes, supported by data regarding engagement with the online CBT platform (n = 217). Findings indicated that service users valued the flexibility of the service and the speed with which they were able to access support. The support offered by Trainee Psychologists was perceived to be of high quality, and the service was perceived by service users to have improved mental health and wellbeing. The rapid implementation contributed to issues regarding appropriate service user screening that led to trainee psychologists being unable to provide the service users with the support they needed as the presenting issues were outside of trainees' competencies. Overall, the findings suggest that interventions offering flexible, online psychological support to frontline workers can be an effective model for future interventions. Trainee psychologists are also able to play an important role in delivering such services when clear screening processes are in place.
Collapse
Affiliation(s)
- Bryan McCann
- Department of Psychology, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom
| | - Simon C. Hunter
- Department of Psychology, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom
- Graduate School of Education, University of Western Australia, Perth, Western Australia, Australia
| | - Kareena McAloney-Kocaman
- Department of Psychology, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom
| | - Paul McCarthy
- Department of Psychology, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom
| | - Jan Smith
- Department of Psychology, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom
| | - Eileen Calveley
- Department of Psychology, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom
| |
Collapse
|
3
|
Eysenbach G, Kleib M, Norris C, O'Rourke HM, Montgomery C, Douma M. The Use and Structure of Emergency Nurses' Triage Narrative Data: Scoping Review. JMIR Nurs 2023; 6:e41331. [PMID: 36637881 PMCID: PMC9883744 DOI: 10.2196/41331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Emergency departments use triage to ensure that patients with the highest level of acuity receive care quickly and safely. Triage is typically a nursing process that is documented as structured and unstructured (free text) data. Free-text triage narratives have been studied for specific conditions but never reviewed in a comprehensive manner. OBJECTIVE The objective of this paper was to identify and map the academic literature that examines triage narratives. The paper described the types of research conducted, identified gaps in the research, and determined where additional review may be warranted. METHODS We conducted a scoping review of unstructured triage narratives. We mapped the literature, described the use of triage narrative data, examined the information available on the form and structure of narratives, highlighted similarities among publications, and identified opportunities for future research. RESULTS We screened 18,074 studies published between 1990 and 2022 in CINAHL, MEDLINE, Embase, Cochrane, and ProQuest Central. We identified 0.53% (96/18,074) of studies that directly examined the use of triage nurses' narratives. More than 12 million visits were made to 2438 emergency departments included in the review. In total, 82% (79/96) of these studies were conducted in the United States (43/96, 45%), Australia (31/96, 32%), or Canada (5/96, 5%). Triage narratives were used for research and case identification, as input variables for predictive modeling, and for quality improvement. Overall, 31% (30/96) of the studies offered a description of the triage narrative, including a list of the keywords used (27/96, 28%) or more fulsome descriptions (such as word counts, character counts, abbreviation, etc; 7/96, 7%). We found limited use of reporting guidelines (8/96, 8%). CONCLUSIONS The breadth of the identified studies suggests that there is widespread routine collection and research use of triage narrative data. Despite the use of triage narratives as a source of data in studies, the narratives and nurses who generate them are poorly described in the literature, and data reporting is inconsistent. Additional research is needed to describe the structure of triage narratives, determine the best use of triage narratives, and improve the consistent use of triage-specific data reporting guidelines. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1136/bmjopen-2021-055132.
Collapse
Affiliation(s)
| | - Manal Kleib
- Faculty of Nursing, University of Alberta, Edmonton, AB, Canada
| | - Colleen Norris
- Faculty of Nursing, University of Alberta, Edmonton, AB, Canada
| | | | | | - Matthew Douma
- School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland
| |
Collapse
|
4
|
Adie JW, Graham W, O'Donnell R, Wallis M. Patient presentations to an after-hours general practice, an urgent care clinic and an emergency department on Sundays: a comparative, observational study. J Health Organ Manag 2023; ahead-of-print. [PMID: 36627231 DOI: 10.1108/jhom-08-2021-0308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
PURPOSE The purpose of this paper is to determine which factors are associated with 6,065 patient presentations with non-life-threatening urgent conditions (NLTUCs) to an after-hours general practice, an urgent care clinic (UCC) and an emergency department (ED) on Sundays in Southeast Queensland (Qld). DESIGN/METHODOLOGY/APPROACH A retrospective, comparative and observational study was conducted involving the auditing of medical records of patients with NLTUCs consulting three medical services between 0,800 and 1,700 h, on Sundays, over a one-year period. The study was limited to 6,065 patients. FINDINGS There were statistically significant differences in choice of location according to age, number of postcodes from the patient's residence, time of the day, season, patient presentations for infection and injury, non-infectious, non-injurious conditions of the circulatory, gastrointestinal and genitourinary systems, and need for imaging, pathology, plastering/back-slab application, splinting and wound closure. Older adults were more likely to be admitted to the hospital and Ed Short Stay Unit, compared with other age groups. RESEARCH LIMITATIONS/IMPLICATIONS Based on international models of UCC healthcare systems in United Kingdom (UK), USA and New Zealand (NZ) and the results of this study, it is recommended that UCCs in Australia have extended hours, walk-in availability, access to on-site radiology, ability to treat fractures and wounds and staffing by medical practitioners able to manage these conditions. Recommendations also include setting a national standard for UCC operation (National Urgent Care Centre Accreditation, 2018; NHS, 2020; RNZCUC, 2015) and requirements for vocational registration for medical practitioners (National Urgent Care Centre Accreditation, 2018; RNZCUC, 2015; The Royal College of Surgeons of Edinburgh, 2021a, b). PRACTICAL IMPLICATIONS This study has highlighted three key areas for future research: first, research involving general practitioners (GPs), emergency physicians, urgent care physicians, nurse practitioners, urgent care pharmacists and paramedics could help to predict the type of patients more accurately, patient presentations and associated comorbidities that might be encouraged to attend or be diverted to Urgent Care Clinics. Second, larger studies of more facilities and more patients could improve the accuracy and generalisability of the findings. Lastly, studies of public health messaging need to be undertaken to determine how best to encourage patients with NLTUCs (especially infections and injuries) to present to UCCs. SOCIAL IMPLICATIONS The Urgent Care Clinic model has existed in developed countries since 1973. The adoption of this model in Australia close to a patient's home, open extended hours and with onsite radiology could provide a community option, to ED, for NLTUCs (especially patient presentations with infections and injuries). ORIGINALITY/VALUE This study reviewed three types of medical facilities for the management of NLTUCs. They were an after-hours general practice, an urgent care clinic and an emergency department. This study found that the patient choice of destination depends on the ability of the service to manage their NLTUCs, patient age, type of condition, postcodes lived away from the facility, availability of testing and provision of consumables. This study also provides recommendations for the development of an urgent care healthcare system in Australia based on international models and includes requirements for extended hours, walk-in availability, radiology on-site, national standard and national requirements for vocational registration for medical professionals.
Collapse
Affiliation(s)
- John William Adie
- School of Nursing, Midwifery and Paramedicine, University of the Sunshine Coast, Sippy Downs, Australia
| | - Wayne Graham
- School of Nursing, Midwifery and Paramedicine, University of the Sunshine Coast, Sippy Downs, Australia
- School of Business and Creative Industries, University of the Sunshine Coast, Sippy Downs, Australia
| | | | - Marianne Wallis
- Southern Cross University-Gold Coast Campus, Coolangatta, Australia
| |
Collapse
|
5
|
Van Zyl-Cillié M, Demirtas D, Hans E. Wait!What does that mean?: Eliminating ambiguity of delays in healthcare from an OR/MS perspective. Health Syst (Basingstoke) 2023; 12:3-21. [PMID: 36926370 PMCID: PMC10013540 DOI: 10.1080/20476965.2021.2018362] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
Waiting time in healthcare is a significant problem that occurs across the world and often has catastrophic effects. There are various terms used for waiting time ("sojourn", "throughput" etc.) and there is no consensus on how these terms are defined. Ambiguous definitions of waiting time make it difficult to compare and measure the problems related to waiting times and delays in healthcare. We present a systematic search and review of the Operations Research and Management Science (ORMS) literature on delays in healthcare services. We search for articles from 2004 to 2019 and base our search strategy on a well-known healthcare planning and control decision taxonomy. An important step towards reducing the ambiguity in the definitions is to distinguish between access time and waiting time. We provide clear definitions and examples of access time and waiting time, and we classify our search results according to three categories: article type, healthcare service investigated and ORMS technique used to solve the delay problem. We find that half of the ORMS research on the waiting and access time problem is done on Ambulatory Care services. We provide tables for each healthcare service that highlight key definitions, the techniques that are used most often and the healthcare environment where the research is done. This research highlights the significant ORMS research that is done on access and waiting time in healthcare as well as the remaining research opportunities. Moreover, it provides a common language for the ORMS community to solve critical waiting time issues in healthcare.
Collapse
Affiliation(s)
- Maria Van Zyl-Cillié
- Faculty of Behaviourial Management and Social Sciences, University of Twente, Enschede, Netherlands.,School of Industrial Engineering, North-West University, Potchefstroom, South Africa
| | - Derya Demirtas
- Faculty of Behaviourial Management and Social Sciences, University of Twente, Enschede, Netherlands
| | - Erwin Hans
- Faculty of Behaviourial Management and Social Sciences, University of Twente, Enschede, Netherlands
| |
Collapse
|
6
|
Werner K, Risko N, Kalanzi J, Wallis LA, Reynolds TA. Cost-effectiveness analysis of the multi-strategy WHO emergency care toolkit in regional referral hospitals in Uganda. PLoS One 2022; 17:e0279074. [PMID: 36516176 PMCID: PMC9750003 DOI: 10.1371/journal.pone.0279074] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 11/30/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Low- and middle-income countries bear a disproportionate amount of the global burden of disease from emergency conditions. To improve the provision of emergency care in low-resource settings, a multifaceted World Health Organization (WHO) intervention introduced a toolkit including Basic Emergency Care training, resuscitation area guidelines, a trauma registry, a trauma checklist, and triage tool in two public hospital sites in Uganda. While introduction of the toolkit revealed a large reduction in the case fatality rate of patients, little is known about the cost-effectiveness and affordability. We analysed the cost-effectiveness of the toolkit and conducted a budget analysis to estimate the impact of scale up to all regional referral hospitals for the national level. METHODS A decision tree model was constructed to assess pre- and post-intervention groups from a societal perspective. Data regarding mortality were drawn from WHO quality improvement reports captured at two public hospitals in Uganda from 2016-2017. Cost data were drawn from project budgets and included direct costs of the implementation of the intervention, and direct costs of clinical care for patients with disability. Development costs were not included. Parameter uncertainty was assessed using both deterministic and probabilistic sensitivity analyses. Our model estimated the incremental cost-effectiveness of implementing the WHO emergency care toolkit measuring all costs and outcomes as disability-adjusted life-years (DALYs) over a lifetime, discounting both costs and outcomes at 3.5%. RESULTS Implementation of the WHO Toolkit averted 1,498 DALYs when compared to standard care over a one-year time horizon. The initial investment of $5,873 saved 34 lives (637 life years) and avoided $1,670,689 in downstream societal costs, resulted in a negative incremental cost-effectiveness ratio, dominating the comparator scenario of no intervention. This would increase to saving 884 lives and 25,236 DALYs annually with national scale up. If scaled to a national level the total intervention cost over period of five years would be $4,562,588 or a 0.09% increase of the total health budget for Uganda. The economic gains are estimated to be $29,880,949 USD, the equivalent of a 655% return on investment. The model was most sensitive to average annual cash income, discount rate and frequency survivor is a road-traffic incident survivor, but was robust for all other parameters. CONCLUSION Improving emergency care using the WHO Toolkit produces a cost-savings in a low-resource setting such as Uganda. In alignment with the growing body of literature highlighting the value of systematizing emergency care, our findings suggest the toolkit could be an efficient approach to strengthening emergency care systems.
Collapse
Affiliation(s)
- Kalin Werner
- Division of Emergency Medicine, University of Cape Town, Cape Town, South Africa
| | - Nicholas Risko
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | | | - Lee A Wallis
- Division of Emergency Medicine, University of Cape Town, Cape Town, South Africa
| | - Teri A Reynolds
- Department for Clinical Services and Systems, Integrated Health Services, World Health Organization (WHO), Geneva, Switzerland
| |
Collapse
|
7
|
Delshad S, Dontaraju VS, Chengat V. Artificial Intelligence-Based Application Provides Accurate Medical Triage Advice When Compared to Consensus Decisions of Healthcare Providers. Cureus 2021; 13:e16956. [PMID: 34405077 PMCID: PMC8352839 DOI: 10.7759/cureus.16956] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2021] [Indexed: 12/23/2022] Open
Abstract
Accurate medical triage is essential for improving patient outcomes and efficient healthcare delivery. Patients increasingly rely on artificial intelligence (AI)-based applications to access healthcare information, including medical triage advice. We assessed the accuracy of triage decisions provided by an AI-based application. We presented 50 clinical vignettes to the AI-based application, seven emergency medicine providers, and five internal medicine physicians. We compared the triage decisions of the AI-based application to those of the individual providers as well as their consensus decisions. When compared to the human clinicians’ consensus triage decisions, the AI-based application performed equal or better than individual human clinicians.
Collapse
Affiliation(s)
- Sean Delshad
- Internal Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, USA
| | | | | |
Collapse
|
8
|
Snowdon DA, Harding KE, Taylor NF, Leggat SG, Kent B, Lewis AK, Watts JJ. Return on investment of a model of access combining triage with initial management: an economic analysis. BMJ Open 2021; 11:e045096. [PMID: 34290062 PMCID: PMC8296773 DOI: 10.1136/bmjopen-2020-045096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVES Timely access to outpatient services is a major issue for public health systems. To address this issue, we aimed to establish the return on investment to the health system of the implementation of an alternative model for access and triage (Specific Timely Appointments for Triage: STAT) compared with a traditional waitlist model. DESIGN Using a prospective pre-post design, an economic analysis was completed comparing the health system costs for participants who were referred for community outpatient services post-implementation of STAT with a traditional waitlist comparison group. SETTING Eight community outpatient services of a health network in Melbourne, Australia. PARTICIPANTS Adults and children referred to community outpatient services. INTERVENTIONS STAT combined targeted activities to reduce the existing waiting list and direct booking of patients into protected assessment appointments. STAT was compared with usual care, in which new patients were placed on a waiting list and offered appointments as space became available. OUTCOMES Health system costs included STAT implementation costs, outpatient health service use, emergency department presentations and hospital admissions 3 months before and after initial outpatient appointment. Waiting time was the primary outcome. Incremental cost-effectiveness ratios (ICERs) were estimated from the health system perspective. RESULTS Data from 557 participants showed a 16.9 days or 29% (p<0.001) reduction in waiting time for first appointment with STAT compared with traditional waitlist. The ICER showed a cost of $A10 (95% CI -19 to 39) per day reduction in waiting time with STAT compared with traditional waitlist. Modelling showed the cost reduced to $A4 (95% CI -25 to 32) per day of reduction in waiting, if reduction in waiting times is sustained for 12 months. CONCLUSIONS There was a significant reduction in waiting time with the introduction of STAT at minimal cost to the health system. TRIAL REGISTRATION NUMBER Australian New Zealand Clinical Trials Registry (ACTRN12615001016527).
Collapse
Affiliation(s)
- David A Snowdon
- Peninsula Clinical School, Central Clinical School, Monash University, Frankston, Victoria, Australia
- Allied Health Clinical Research Office, Eastern Health, Box Hill, Victoria, Australia
| | - Katherine E Harding
- Allied Health Clinical Research Office, Eastern Health, Box Hill, Victoria, Australia
- School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia
| | - Nicholas F Taylor
- Allied Health Clinical Research Office, Eastern Health, Box Hill, Victoria, Australia
- School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia
| | - Sandra G Leggat
- School of Psychology and Public Health, La Trobe University, Bundoora, Victoria, Australia
- School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Bridie Kent
- School of Nursing and Midwifery, Plymouth University, Plymouth, UK
| | - Annie K Lewis
- Allied Health Clinical Research Office, Eastern Health, Box Hill, Victoria, Australia
- School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia
| | - Jennifer J Watts
- School of Health and Social Development, Faculty of Health, Deakin University, Burwood, Victoria, Australia
| |
Collapse
|
9
|
Barriers and facilitators for implementation of a patient prioritization tool in two specialized rehabilitation programs. JBI Evid Implement 2021; 19:149-161. [PMID: 33843768 DOI: 10.1097/xeb.0000000000000281] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION AND AIMS Prioritization tools aim to manage access to care by ranking patients equitably in waiting lists based on determined criteria. Patient prioritization has been studied in a wide variety of clinical health services, including rehabilitation contexts. We created a web-based patient prioritization tool (PPT) with the participation of stakeholders in two rehabilitation programs, which we aim to implement into clinical practice. Successful implementation of such innovation can be influenced by a variety of determinants. The goal of this study was to explore facilitators and barriers to the implementation of a PPT in rehabilitation programs. METHODS We used two questionnaires and conducted two focus groups among service providers from two rehabilitation programs. We used descriptive statistics to report results of the questionnaires and qualitative content analysis based on the Consolidated Framework for Implementation Research. RESULTS Key facilitators are the flexibility and relative advantage of the tool to improve clinical practices and produce beneficial outcomes for patients. Main barriers are the lack of training, financial support and human resources to sustain the implementation process. CONCLUSION This is the first study that highlights organizational, individual and innovation levels facilitators and barriers for the implementation of a prioritization tool from service providers' perspective.
Collapse
|
10
|
Harding KE, Snowdon DA, Prendergast L, Lewis AK, Kent B, Leggat SF, Taylor NF. Sustainable waiting time reductions after introducing the STAT model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial. BMC Health Serv Res 2020; 20:968. [PMID: 33087110 PMCID: PMC7579912 DOI: 10.1186/s12913-020-05824-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 10/15/2020] [Indexed: 11/21/2022] Open
Abstract
Background Timely access is a challenge for providers of outpatient and community-based health services, as seen by the often lengthy waiting lists to manage demand. The Specific Timely Appointments for Triage (STAT) model, an alternative approach for managing access and triage, reduced waiting time by 34% in a stepped wedge cluster randomised controlled trial involving 8 services and more than 3000 participants. Follow up periods ranged from 3 to 10 months across the participating services in accordance with the stepped wedge design. This study aimed to determine whether outcomes were sustained for a full 12 months after implementation of the STAT model at each site. Methods Routinely collected service data were obtained for a total of 12 months following implementation of the STAT model at each of the 8 services that participated in a stepped wedge cluster randomised controlled trial. The primary outcome was time to first appointment. Secondary outcomes included non-attendance rates, time to second appointment and service use over 12 weeks. Outcomes were compared to pre-intervention data from the original trial, modelled using generalised linear mixed effects models accounting for clustering of sites. Results A 29% reduction in waiting time could be attributed to STAT over 12 months, compared to 34% in the original trial. A reduction in variability in waiting time was sustained. There were no significant changes in time to second appointment or in the number of missed appointments in the extended follow up period. Conclusions STAT is an effective strategy for reducing waiting time in community-based outpatient services. At 12 months, small reductions in the overall effect are apparent, but reductions in variability are sustained, suggesting that people who previously waited the longest benefit most from the STAT model. Trial registration This is a 12-month follow up of a stepped wedge cluster randomised controlled trial that was registered with the Australia and New Zealand Clinical Trials Registry (ACTRN12615001016527).
Collapse
Affiliation(s)
- Katherine E Harding
- Allied Health Clinical Rsearch Office, Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia. .,La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia.
| | - David A Snowdon
- Allied Health Clinical Rsearch Office, Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia
| | - Luke Prendergast
- La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia
| | - Annie K Lewis
- Allied Health Clinical Rsearch Office, Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia
| | - Bridie Kent
- Drake Circus, Plymouth University, Plymouth, Devon, PL4 8AA, UK
| | - Sandy F Leggat
- La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia
| | - Nicholas F Taylor
- Allied Health Clinical Rsearch Office, Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia.,La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia
| |
Collapse
|
11
|
Déry J, Ruiz A, Routhier F, Bélanger V, Côté A, Ait-Kadi D, Gagnon MP, Deslauriers S, Lopes Pecora AT, Redondo E, Allaire AS, Lamontagne ME. A systematic review of patient prioritization tools in non-emergency healthcare services. Syst Rev 2020; 9:227. [PMID: 33023666 PMCID: PMC7541289 DOI: 10.1186/s13643-020-01482-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 09/17/2020] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Patient prioritization is a strategy used to manage access to healthcare services. Patient prioritization tools (PPT) contribute to supporting the prioritization decision process, and to its transparency and fairness. Patient prioritization tools can take various forms and are highly dependent on the particular context of application. Consequently, the sets of criteria change from one context to another, especially when used in non-emergency settings. This paper systematically synthesizes and analyzes the published evidence concerning the development and challenges related to the validation and implementation of PPTs in non-emergency settings. METHODS We conducted a systematic mixed studies review. We searched evidence in five databases to select articles based on eligibility criteria, and information of included articles was extracted using an extraction grid. The methodological quality of the studies was assessed by using the Mixed Methods Appraisal Tool. The article selection process, data extraction, and quality appraisal were performed by at least two reviewers independently. RESULTS We included 48 studies listing 34 different patient prioritization tools. Most of them are designed for managing access to elective surgeries in hospital settings. Two-thirds of the tools were investigated based on reliability or validity. Inconclusive results were found regarding the impact of PPTs on patient waiting times. Advantages associated with PPT use were found mostly in relationship to acceptability of the tools by clinicians and increased transparency and equity for patients. CONCLUSIONS This review describes the development and validation processes of PPTs used in non-urgent healthcare settings. Despite the large number of PPTs studied, implementation into clinical practice seems to be an open challenge. Based on the findings of this review, recommendations are proposed to develop, validate, and implement such tools in clinical settings. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42018107205.
Collapse
Affiliation(s)
- Julien Déry
- Department of Rehabilitation, Université Laval, Québec, Canada.,Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada
| | - Angel Ruiz
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada.,Faculty of Business Administration, Université Laval, Québec, Canada.,Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT), Université de Montréal, Montréal, Canada
| | - François Routhier
- Department of Rehabilitation, Université Laval, Québec, Canada.,Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada
| | - Valérie Bélanger
- Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT), Université de Montréal, Montréal, Canada.,Department of Logistics and Operations Management, HEC Montréal, Montréal, Canada
| | - André Côté
- Faculty of Business Administration, Université Laval, Québec, Canada.,Centre de recherche du CHU de Québec, Université Laval, Québec, Canada.,Centre de recherche en gestion des services de santé, Université Laval, Québec, Canada
| | - Daoud Ait-Kadi
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada.,Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT), Université de Montréal, Montréal, Canada.,Department of Mechanical Engineering, Université Laval, Québec, Canada
| | - Marie-Pierre Gagnon
- Centre de recherche du CHU de Québec, Université Laval, Québec, Canada.,Faculty of Nursing, Université Laval, Québec, Canada
| | - Simon Deslauriers
- Department of Rehabilitation, Université Laval, Québec, Canada.,Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada
| | - Ana Tereza Lopes Pecora
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada
| | - Eduardo Redondo
- Faculty of Business Administration, Université Laval, Québec, Canada.,Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT), Université de Montréal, Montréal, Canada
| | - Anne-Sophie Allaire
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada
| | - Marie-Eve Lamontagne
- Department of Rehabilitation, Université Laval, Québec, Canada. .,Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada.
| |
Collapse
|
12
|
Lightfoot KL, Burford JH, England GCW, Bowen IM, Freeman SL. Mixed methods investigation of the use of telephone triage within UK veterinary practices for horses with abdominal pain: A Participatory action research study. PLoS One 2020; 15:e0238874. [PMID: 32966300 PMCID: PMC7510986 DOI: 10.1371/journal.pone.0238874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 08/25/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Telephone triage is an integral part of modern patient care systems in human medicine, and a key component of veterinary practice care systems. There is currently no published research on telephone triage within the veterinary profession. OBJECTIVE To investigate current approaches to telephone triage of horses with abdominal pain (colic) in veterinary practice and develop new resources to support decision-making. STUDY DESIGN Participatory action research using mixed-methods approach. METHODS An online survey assessed current approaches to telephone triage of horses with colic in UK veterinary practices. Structured group and individual interviews were conducted with four equine client care (reception) teams on their experiences around telephone triage of colic. Evidence-based resources, including an information pack, decision flow chart and recording form, were developed and implemented within the practices. Participant feedback was obtained through interviews six months after implementation of the resources. RESULTS There were 116 participants in the online survey. Management and client care staff (53/116) felt less confident giving owner advice (p<0.01) and recognising critical indicators (p = 0.03) compared to veterinary surgeons and nurses (63/116). Thirteen themes were identified in the survey relating to owner advice; exercise and owner safety were most frequently mentioned, but conflicting guidance was often given. Fourteen client care staff were interviewed. They were confident recognising colic during a telephone conversation with an owner and identified the most common signs of critical cases as sweating and recumbency. The new resources received positive feedback; the decision flow chart and information on critical indicators were identified as most useful. After resource implementation, there was an increase in confidence in recognising critical cases and giving owners advice. MAIN LIMITATIONS Limited sample population. CONCLUSIONS This study described existing approaches to telephone triage, identified variations in advice given, and worked with client care teams to develop new resources to aid decision-making.
Collapse
Affiliation(s)
- Katie L. Lightfoot
- School of Veterinary Medicine and Science, University of Nottingham, Loughborough, Leicestershire, United Kingdom
| | - John H. Burford
- School of Veterinary Medicine and Science, University of Nottingham, Loughborough, Leicestershire, United Kingdom
| | - Gary C. W. England
- School of Veterinary Medicine and Science, University of Nottingham, Loughborough, Leicestershire, United Kingdom
| | - I. Mark Bowen
- School of Veterinary Medicine and Science, University of Nottingham, Loughborough, Leicestershire, United Kingdom
| | - Sarah L. Freeman
- School of Veterinary Medicine and Science, University of Nottingham, Loughborough, Leicestershire, United Kingdom
| |
Collapse
|
13
|
Bittencourt RJ, Stevanato ADM, Bragança CTNM, Gottems LBD, O'Dwyer G. Interventions in overcrowding of emergency departments: an overview of systematic reviews. Rev Saude Publica 2020; 54:66. [PMID: 32638885 PMCID: PMC7319499 DOI: 10.11606/s1518-8787.2020054002342] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 04/15/2020] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE To present an overview of systematic reviews on throughput interventions to solve the overcrowding of emergency departments. METHODS Electronic searches for reviews published between 2007 and 2018 were made on PubMed, Cochrane Library, EMBASE, Health Systems Evidence, CINAHL, SciELO, LILACS, Google Scholar and the CAPES periodicals portal. Data of the included studies was extracted into a pre-formatted sheet and their methodological quality was assessed using AMSTAR 2 tool. Eventually, 15 systematic reviews were included for the narrative synthesis. RESULTS The interventions were grouped into four categories: (1) strengthening of the triage service; (2) strengthening of the ED’s team; (3) creation of new care zones; (4) change in ED’s work processes. All studies observed positive effect on patient’s length of stay, expect for one, which had positive effect on other indicators. According to AMSTAR 2 criteria, eight revisions were considered of high or moderate methodological quality and seven, low or critically low quality. There was a clear improvement in the quality of the studies, with an improvement in focus and methodology after two decades of systematic studies on the subject. CONCLUSIONS Despite some limitations, the evidence presented on this overview can be considered the cutting edge of current scientific knowledge on the topic.
Collapse
Affiliation(s)
- Roberto José Bittencourt
- Escola Superior de Ciências da Saúde, Fundação de Ensino e Pesquisa em Ciências da Saúde, Secretaria de Estado de Saúde do Distrito Federal, Distrito Federal, Brasil
| | - Angelo de Medeiros Stevanato
- Escola Superior de Ciências da Saúde, Fundação de Ensino e Pesquisa em Ciências da Saúde, Secretaria de Estado de Saúde do Distrito Federal, Distrito Federal, Brasil
| | - Carolina Thomé N M Bragança
- Escola Superior de Ciências da Saúde, Fundação de Ensino e Pesquisa em Ciências da Saúde, Secretaria de Estado de Saúde do Distrito Federal, Distrito Federal, Brasil
| | - Leila Bernarda Donato Gottems
- Escola Superior de Ciências da Saúde, Fundação de Ensino e Pesquisa em Ciências da Saúde, Secretaria de Estado de Saúde do Distrito Federal, Distrito Federal, Brasil
| | - Gisele O'Dwyer
- Departamento de Administração e Planejamento em Saúde, Escola Nacional de Saúde Pública Sérgio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil
| |
Collapse
|
14
|
Austin EE, Blakely B, Tufanaru C, Selwood A, Braithwaite J, Clay-Williams R. Strategies to measure and improve emergency department performance: a scoping review. Scand J Trauma Resusc Emerg Med 2020; 28:55. [PMID: 32539739 PMCID: PMC7296671 DOI: 10.1186/s13049-020-00749-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 05/27/2020] [Indexed: 11/15/2022] Open
Abstract
Background Over the last two decades, Emergency Department (ED) crowding has become an increasingly common occurrence worldwide. Crowding is a complex and challenging issue that affects EDs’ capacity to provide safe, timely and quality care. This review aims to map the research evidence provided by reviews to improve ED performance. Methods and findings We performed a scoping review, searching Cochrane Database of Systematic Reviews, Scopus, EMBASE, CINAHL and PubMed (from inception to July 9, 2019; prospectively registered in Open Science Framework https://osf.io/gkq4t/). Eligibility criteria were: (1) review of primary research studies, published in English; (2) discusses a) how performance is measured in the ED, b) interventions used to improve ED performance and their characteristics, c) the role(s) of patients in improving ED performance, and d) the outcomes attributed to interventions used to improve ED performance; (3) focuses on a hospital ED context in any country or healthcare system. Pairs of reviewers independently screened studies’ titles, abstracts, and full-texts for inclusion according to pre-established criteria. Discrepancies were resolved via discussion. Independent reviewers extracted data using a tool specifically designed for the review. Pairs of independent reviewers explored the quality of included reviews using the Risk of Bias in Systematic Reviews tool. Narrative synthesis was performed on the 77 included reviews. Three reviews identified 202 individual indicators of ED performance. Seventy-four reviews reported 38 different interventions to improve ED performance: 27 interventions describing changes to practice and process (e.g., triage, care transitions, technology), and a further nine interventions describing changes to team composition (e.g., advanced nursing roles, scribes, pharmacy). Two reviews reported on two interventions addressing the role of patients in ED performance, supporting patients’ decisions and providing education. The outcomes attributed to interventions used to improve ED performance were categorised into five key domains: time, proportion, process, cost, and clinical outcomes. Few interventions reported outcomes across all five outcome domains. Conclusions ED performance measurement is complex, involving automated information technology mechanisms and manual data collection, reflecting the multifaceted nature of ED care. Interventions to improve ED performance address a broad range of ED processes and disciplines.
Collapse
Affiliation(s)
- Elizabeth E Austin
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
| | - Brette Blakely
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Catalin Tufanaru
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Amanda Selwood
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Robyn Clay-Williams
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| |
Collapse
|
15
|
Rahimi SA, Dery J, Lamontagne ME, Jamshidi A, Lacroix E, Ruiz A, Ait-Kadi D, Routhier F. Prioritization of patients access to outpatient augmentative and alternative communication services in Quebec: a decision tool. Disabil Rehabil Assist Technol 2020; 17:8-15. [PMID: 32501741 DOI: 10.1080/17483107.2020.1751314] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Purpose: A large number of people living with a chronic disability wait a long time to access publicly funded rehabilitation services such as Augmentative and Alternative Communication (AAC) services, and there is no standardized tool to prioritize these patients. We aimed to develop a prioritization tool to improve the organization and access to the care for this population.Methods: In this sequential mixed methods study, we began with a qualitative phase in which we conducted semi-structured interviews with 14 stakeholders including patients, their caregivers, and AAC service providers in Quebec City, Canada to gather their ideas about prioritization criteria. Then, during a half-day consensus group meeting with stakeholders, using a consensus-seeking technique (i.e. Technique for Research of Information by Animation of a Group of Experts), we reached consensus on the most important prioritization criteria. These criteria informed the quantitative phase in which used an electronic questionnaire to collect stakeholders' views regarding the relative weights for each of the selected criteria. We analyzed these data using a hybrid quantitative method called group based fuzzy analytical hierarchy process, to obtain the importance weights of the selected eight criteria.Results: Analyses of the interviews revealed 48 criteria. Collectively, the stakeholders reached consensus on eight criteria, and through the electronic questionnaire they defined the selected criteria's importance weights. The selected eight prioritization criteria and their importance weights are: person's safety (weight: 0.274), risks development potential (weight: 0.144), psychological well-being (weight: 0.140), physical well-being (weight: 0.124), life prognosis (weight: 0.106), possible impact on social environment (weight: 0.085), interpersonal relationships (weight: 0.073), and responsibilities and social role (weight: 0.054).Conclusion: In this study, we co-developed a prioritization decision tool with the key stakeholders for prioritization of patients who are referred to AAC services in rehabilitation settings.IMPLICATIONS FOR REHABILIATIONStudies in Canada have shown that people in Canada with a need for rehabilitation services are not receiving publicly available services in a timely manner.There is no standardized tool for the prioritization of AAC patients.In this mixed methods study, we co-developed a prioritization tool with key stakeholders for prioritization of patients who are referred to AAC services in a rehabilitation center in Quebec, Canada.
Collapse
Affiliation(s)
- Samira Abbasgholizadeh Rahimi
- Department of Family Medicine, McGill University, Montreal, Canada.,Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada
| | - Julien Dery
- Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS), Quebec City, Canada.,Department of Rehabilitation, Faculty of Medicine, Université Laval, Quebec City, Canada
| | - Marie-Eve Lamontagne
- Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS), Quebec City, Canada.,Department of Rehabilitation, Faculty of Medicine, Université Laval, Quebec City, Canada
| | - Afshin Jamshidi
- Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS), Quebec City, Canada.,Department of Mechanical Engineering, Faculty of Science and Engineering, Université Laval, Quebec City, Canada
| | - Emilie Lacroix
- Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS), Quebec City, Canada
| | - Angel Ruiz
- Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS), Quebec City, Canada.,Department of Operations and Decision Systems, Faculty of Administration Sciences, Université Laval, Quebec City, Canada
| | - Daoud Ait-Kadi
- Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS), Quebec City, Canada.,Department of Mechanical Engineering, Faculty of Science and Engineering, Université Laval, Quebec City, Canada
| | - François Routhier
- Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS), Quebec City, Canada.,Department of Rehabilitation, Faculty of Medicine, Université Laval, Quebec City, Canada
| |
Collapse
|
16
|
Harding KE, Robertson N, Snowdon DA, Watts JJ, Karimi L, O'Reilly M, Kotis M, Taylor NF. Are wait lists inevitable in subacute ambulatory and community health services? A qualitative analysis. AUST HEALTH REV 2019; 42:93-99. [PMID: 28131111 DOI: 10.1071/ah16145] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 12/09/2016] [Indexed: 11/23/2022]
Abstract
Objectives Wait lists are common in ambulatory and community-based services. The aim of the present study was to explore managers' perceptions of factors that contribute to wait times. Methods A qualitative study was conducted using semi-structured interviews with managers and team leaders of ambulatory and community health services within a large health network. Interviews were transcribed and coded, and the codes were then grouped into themes and subthemes. Results Representatives from 26 services participated in the project. Four major themes were identified. Three themes related to reasons and factors contributing to increased wait time for services (inefficient intake and scheduling processes; service disruptions due to human resource issues; and high service demand). A fourth theme related to staff attitudes towards wait times and acceptance and acknowledgement of wait lists. Conclusions Service providers perceive high demand to be a key driver of wait times, but a range of other factors also contributes and may represent opportunities for improving access to care. These other factors include improving process efficiencies, greater consistency of service delivery through more efficient management of human resources and shifting to more consumer-centred approaches in measuring wait times in order to drive improvements in patient flow. What is known about the topic? Wait times are common in out-patient and ambulatory services. These services experience high demand, which is likely to continue to grow as health service delivery shifts from hospital to community settings. What does this paper add? Although demand is an important driver of wait times, there are other modifiable factors that also contribute, including process inefficiencies and service disruption related to human resource issues. An underlying staff attitude of acceptance of wait times appears to be an additional barrier to improving access. What are the implications for practitioners? The findings of the present study suggest that there are opportunities for improving access to ambulatory and community health services through more efficient use of existing resources. However, a more consumer-focused approach regarding acceptability of wait times is needed to help drive change.
Collapse
Affiliation(s)
| | - Nicole Robertson
- Eastern Health, 5 Arnold Street, Box Hill, Vic. 3128, Australia.
| | - David A Snowdon
- Eastern Health, 5 Arnold Street, Box Hill, Vic. 3128, Australia.
| | - Jennifer J Watts
- Centre for Population Health Research, Deakin University, 221 Burwood Highway, Burwood, Vic. 3125, Australia. Email
| | - Leila Karimi
- La Trobe University, Kingsbury Drive, Bundoora, Vic. 3086, Australia.
| | - Mary O'Reilly
- Eastern Health, 5 Arnold Street, Box Hill, Vic. 3128, Australia.
| | - Michelle Kotis
- Victorian Department of Health and Human Services, 50 Lonsdale Street, Melbourne, Vic. 3000, Australia. Email
| | - Nicholas F Taylor
- La Trobe University, Kingsbury Drive, Bundoora, Vic. 3086, Australia.
| |
Collapse
|
17
|
Déry J, Ruiz A, Routhier F, Gagnon MP, Côté A, Ait-Kadi D, Bélanger V, Deslauriers S, Lamontagne ME. Patient prioritization tools and their effectiveness in non-emergency healthcare services: a systematic review protocol. Syst Rev 2019; 8:78. [PMID: 30927927 PMCID: PMC6441215 DOI: 10.1186/s13643-019-0992-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 03/19/2019] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Waiting lists should be managed as fairly as possible to ensure that patients with greater or more urgent needs receive services first. Patient prioritization refers to the process of ranking referrals in a certain order based on various criteria with the aim of improving fairness and equity in the delivery of care. Despite the widespread use of patient prioritization tools (PPTs) in healthcare services, the existing literature on this subject has mainly focused on emergency settings. Evidence has not been synthesized with respect to all the non-emergency services. METHODS This review aims to perform a systematic synthesis of published evidence concerning (1) prioritization tools' characteristics, (2) their metrological properties, and (3) their effect measures across non-emergency services. Five electronic databases will be searched (Cochrane Library, Ovid/MEDLINE, Embase, Web of Science, and CINAHL). Eligibility criteria guiding data selection will be (1) qualitative, quantitative, or mixed methods empirical studies; (2) patient prioritization in any non-emergency setting; and (3) discussing characteristic, metrological properties, or effect measures. Data will be sought to report tool's format, description, population, setting, purpose, criteria, developer, metrological properties, and outcome measures. Two reviewers will independently screen, select, and extract data. Data will be synthesized with sequential exploratory design method. We will use the Mixed Methods Appraisal Tool (MMAT) to assess the quality of articles included in the review. DISCUSSION This systematic review will provide much-needed knowledge regarding patient prioritization tools. The results will benefit clinicians, decision-makers, and researchers by giving them a better understanding of the methods used to prioritize patients in clinical settings. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42018107205.
Collapse
Affiliation(s)
- Julien Déry
- Department of Rehabilitation, Université Laval, Québec, Canada
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre Intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada
| | - Angel Ruiz
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre Intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada
- Faculty of Business Administration, Université Laval, Québec, Canada
- Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport (CIRRELT), Montréal, Canada
| | - François Routhier
- Department of Rehabilitation, Université Laval, Québec, Canada
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre Intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada
| | - Marie-Pierre Gagnon
- Faculty of Nursing, Université Laval, Québec, Canada
- Centre de recherche du CHU de Québec, Québec, Canada
| | - André Côté
- Faculty of Business Administration, Université Laval, Québec, Canada
- Centre de recherche du CHU de Québec, Québec, Canada
- Centre de recherche en gestion des services de santé, Université Laval, Québec, Canada
| | - Daoud Ait-Kadi
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre Intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada
- Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport (CIRRELT), Montréal, Canada
- Department of Mechanical Engineering, Université Laval, Québec, Canada
| | - Valérie Bélanger
- Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport (CIRRELT), Montréal, Canada
- Department of Logistics and Operations Management, HEC Montréal, Montréal, Canada
| | - Simon Deslauriers
- Department of Rehabilitation, Université Laval, Québec, Canada
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre Intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada
| | - Marie-Eve Lamontagne
- Department of Rehabilitation, Université Laval, Québec, Canada
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Centre Intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Canada
| |
Collapse
|
18
|
|
19
|
Greenwood-Lee J, Jewett L, Woodhouse L, Marshall DA. A categorisation of problems and solutions to improve patient referrals from primary to specialty care. BMC Health Serv Res 2018; 18:986. [PMID: 30572898 PMCID: PMC6302393 DOI: 10.1186/s12913-018-3745-y] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 11/21/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Improving access to specialty care has been identified as a critical issue in the delivery of health services, especially given an increasing burden of chronic disease. Identifying and addressing problems that impact access to specialty care for patients referred to speciality care for non-emergent procedures and how these deficiencies can be managed via health system delivery interventions is important to improve care for patients with chronic conditions. However, the primary-specialty care interface is complex and may be impacted by a variety of potential health services delivery deficiencies; with an equal range of interventions developed to correct them. Consequently, the literature is also diverse and difficult to navigate. We present a narrative review to identify existing literature, and provide a conceptual map that categorizes problems at the primary-specialty care interface with linkages to corresponding interventions aimed at ensuring that patient transitions across the primary-specialty care interface are necessary, appropriate, timely and well communicated. METHODS We searched MEDLINE and EMBASE databases from January 1, 2005 until Dec 31, 2014, grey literature and reference lists to identify articles that report on interventions implemented to improve the primary-specialty care interface. Selected articles were categorized to describe: 1) the intervention context, including the deficiency addressed, and the objective of the intervention 2) intervention activities, and 3) intervention outcomes. RESULTS We identified 106 articles, producing four categories of health services delivery deficiencies based in: 1) clinical decision making; 2) information management; 3) the system level management of patient flows between primary and secondary care; and 4) quality-of-care monitoring. Interventions were divided into seven categories and fourteen sub-categories based on the deficiencies addressed and the intervention strategies used. Potential synergies and trade-offs among interventions are discussed. Little evidence exists regarding the synergistic and antagonistic interactions of alternative intervention strategies. CONCLUSION The categorization acts as an aid in identifying why the primary-specialty care interface may be failing and which interventions may produce improvements. Overlap and interconnectedness between interventions creates potential synergies and conflicts among co-implemented interventions.
Collapse
Affiliation(s)
- James Greenwood-Lee
- Centre for Science, Athabasca University, 6th Floor, 345 6 Avenue SE, Calgary, Alberta, T2G 4V1, Canada
| | - Lauren Jewett
- Geography & Planning, University of Toronto, Sidney Smith Hall, Rm 594, 100 St George St., Toronto, Ontario, M5S 3G3, Canada
| | - Linda Woodhouse
- Faculty of Rehabilitation Medicine, University of Alberta, 3-10 Corbett Hall, 8205 114 Street, Edmonton, Alberta, T6G 2G4, Canada
| | - Deborah A Marshall
- Canada Research Chair, Health Services and Systems Research, Arthur J.E. Child Chair in Rheumatology Outcomes Research, Department of Community Health Sciences, University of Calgary, Calgary, Canada.
- 3C56 Health Research Innovation Centre (HRIC), 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada.
| |
Collapse
|
20
|
Harding KE, Leggat SG, Watts JJ, Kent B, Prendergast L, Kotis M, O'Reilly M, Karimi L, Lewis AK, Snowdon DA, Taylor NF. A model of access combining triage with initial management reduced waiting time for community outpatient services: a stepped wedge cluster randomised controlled trial. BMC Med 2018; 16:182. [PMID: 30336784 PMCID: PMC6194740 DOI: 10.1186/s12916-018-1170-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 09/10/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Long waiting times are associated with public community outpatient health services. This trial aimed to determine if a new model of care based on evidence-based strategies that improved patient flow in two small pilot trials could be used to reduce waiting time across a variety of services. The key principle of the Specific Timely Appointments for Triage (STAT) model is that patients are booked directly into protected assessment appointments and triage is combined with initial management as an alternative to a waiting list and triage system. METHODS A stepped wedge cluster randomised controlled trial was conducted between October 2015 and March 2017, involving 3116 patients at eight sites across a major Australian metropolitan health network. RESULTS The intervention reduced waiting time to first appointment by 33.8% (IRR = 0.663, 95% CI 0.516 to 0.852, P = 0.001). Median waiting time decreased from a median of 42 days (IQR 19 to 86) in the control period to a median of 24 days (IQR 13 to 48) in the intervention period. A substantial reduction in variability was also noted. The model did not impact on most secondary outcomes, including time to second appointment, likelihood of discharge by 12 weeks and number of appointments provided, but was associated with a small increase in the rate of missed appointments. CONCLUSIONS Broad-scale implementation of a model of access and triage that combined triage with initial management and actively managed the relationship between supply and demand achieved substantial reductions in waiting time without adversely impacting on other aspects of care. The reductions in waiting time are likely to have been driven, primarily, by substantial reductions for those patients previously considered low priority. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12615001016527 registration date: 29/09/2015.
Collapse
Affiliation(s)
- Katherine E Harding
- Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia. .,La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia.
| | - Sandra G Leggat
- La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia
| | - Jennifer J Watts
- Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia
| | - Bridie Kent
- University of Plymouth, Drake Circus, Plymouth, Devon, PL4 8AA, UK
| | - Luke Prendergast
- La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia
| | - Michelle Kotis
- Victorian Department of Health and Human Services, 50 Lonsdale Street, Melbourne, VIC, 3000, Australia
| | - Mary O'Reilly
- Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia
| | - Leila Karimi
- La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia
| | - Annie K Lewis
- Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia.,La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia
| | - David A Snowdon
- Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia.,La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia
| | - Nicholas F Taylor
- Eastern Health, Level 2/5 Arnold Street, Box Hill, VIC, 3128, Australia.,La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia
| |
Collapse
|
21
|
Swart AT, Muller CE, Rabie T. The role of triage to reduce waiting times in primary health care facilities in the North West province of South Africa. Health SA 2018; 23:1097. [PMID: 31934386 PMCID: PMC6917407 DOI: 10.4102/hsag.v23i0.1097] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 07/09/2018] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Worldwide, patients visiting health care facilities in the public health care sector have to wait for attention from health care professionals. In South Africa, the Cape Triage Score system was implemented successfully in hospitals' emergency departments in the Cape Metropole. The effective utilisation of triage could improve the flow of primary health care (PHC) patients and direct the patients to the right health care professional immediately. AIM No literature could be traced on the implementation of triage in PHC facilities in South Africa. Consequently, a study addressing this issue could address this lack of information, reduce waiting times in PHC facilities and improve the quality of care. SETTING PHC facilities in a sub-district of the North West province of South Africa. METHOD A quantitative, exploratory, typical descriptive pre-test-post-test design was used. The study consisted of two phases. During phase 1, the waiting time survey checklist was used to determine the baseline waiting times. In phase 2, the Cape Triage Score system that triaged the patients and the waiting time survey checklist were used. RESULTS Data were analysed using Cohen's effect sizes by comparing the total waiting times obtained in both phases with the waiting time survey checklist. Results indicated no reduction in the overall waiting time; however, there was a practical significance where triage was applied. Referral was much quicker to the correct health professional and to the hospitals. CONCLUSION Although the results indicated no reduction in the overall waiting time of patients, structured support systems and triage at PHC facilities should be used to make referral quicker to the correct health professional and to the hospitals.
Collapse
Affiliation(s)
| | | | - Tinda Rabie
- School of Nursing Science, North-West University, South Africa
| |
Collapse
|
22
|
Laliberté M, E Feldman D, Williams-Jones B, Hunt M. Operationalizing wait lists: Strategies and experiences in three hospital outpatient physiotherapy departments in Montreal. Physiother Theory Pract 2018; 34:872-881. [PMID: 29405801 DOI: 10.1080/09593985.2018.1430877] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
In Canada, limited resources and increasing demand place pressure on the public healthcare system, something that is likely to increase. In this context, wait lists in outpatient physiotherapy departments (OPD) will get longer, system inefficiencies will arise, and frustrations and ethical concerns will be experienced by patients and staff. To better understand the perceptions of OPD staff regarding priority setting, treatment frequency, treatment duration, and wait list management strategies, we conducted an Interpretive Description study involving semi-structured interviews in three OPDs in Montreal. Participants discussed factors that influenced their decision making about who was prioritized to receive care, strategies that were used to respond to an imbalance between needs and resources in the OPDs and procedures to manage wait lists to help improve access to care. While clinical needs are central in approaches to prioritization, other non-clinical factors relating to the patient, the physiotherapist, and the institution also influence decisions. We examine these findings through the lens of complexity theory, providing insight into opportunities and obstacles for the implementation of management strategies in OPDs. These strategies will need to be carefully evaluated in order to create evidence-based guidelines for wait list management in other settings.
Collapse
Affiliation(s)
- Maude Laliberté
- a School of Rehabilitation, Faculty of Medicine , Université de Montréal , Montréal , QC , Canada.,b Public Health Research Institute, Université de Montréal, Montréal, QC , Canada.,c Bioethics Program, Department of Social and Preventive Medicine , School of Public Health, Université de Montréal, Montréal, QC , Canada.,d Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montréal, QC , Canada
| | - Debbie E Feldman
- a School of Rehabilitation, Faculty of Medicine , Université de Montréal , Montréal , QC , Canada.,b Public Health Research Institute, Université de Montréal, Montréal, QC , Canada.,d Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montréal, QC , Canada
| | - Bryn Williams-Jones
- b Public Health Research Institute, Université de Montréal, Montréal, QC , Canada.,c Bioethics Program, Department of Social and Preventive Medicine , School of Public Health, Université de Montréal, Montréal, QC , Canada
| | - Matthew Hunt
- d Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montréal, QC , Canada.,e School of Physical and Occupational Therapy, McGill University , Montréal , QC , Canada
| |
Collapse
|
23
|
Ciapponi A, Lewin S, Herrera CA, Opiyo N, Pantoja T, Paulsen E, Rada G, Wiysonge CS, Bastías G, Dudley L, Flottorp S, Gagnon M, Garcia Marti S, Glenton C, Okwundu CI, Peñaloza B, Suleman F, Oxman AD. Delivery arrangements for health systems in low-income countries: an overview of systematic reviews. Cochrane Database Syst Rev 2017; 9:CD011083. [PMID: 28901005 PMCID: PMC5621087 DOI: 10.1002/14651858.cd011083.pub2] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Delivery arrangements include changes in who receives care and when, who provides care, the working conditions of those who provide care, coordination of care amongst different providers, where care is provided, the use of information and communication technology to deliver care, and quality and safety systems. How services are delivered can have impacts on the effectiveness, efficiency and equity of health systems. This broad overview of the findings of systematic reviews can help policymakers and other stakeholders identify strategies for addressing problems and improve the delivery of services. OBJECTIVES To provide an overview of the available evidence from up-to-date systematic reviews about the effects of delivery arrangements for health systems in low-income countries. Secondary objectives include identifying needs and priorities for future evaluations and systematic reviews on delivery arrangements and informing refinements of the framework for delivery arrangements outlined in the review. METHODS We searched Health Systems Evidence in November 2010 and PDQ-Evidence up to 17 December 2016 for systematic reviews. We did not apply any date, language or publication status limitations in the searches. We included well-conducted systematic reviews of studies that assessed the effects of delivery arrangements on patient outcomes (health and health behaviours), the quality or utilisation of healthcare services, resource use, healthcare provider outcomes (such as sick leave), or social outcomes (such as poverty or employment) and that were published after April 2005. We excluded reviews with limitations important enough to compromise the reliability of the findings. Two overview authors independently screened reviews, extracted data, and assessed the certainty of evidence using GRADE. We prepared SUPPORT Summaries for eligible reviews, including key messages, 'Summary of findings' tables (using GRADE to assess the certainty of the evidence), and assessments of the relevance of findings to low-income countries. MAIN RESULTS We identified 7272 systematic reviews and included 51 of them in this overview. We judged 6 of the 51 reviews to have important methodological limitations and the other 45 to have only minor limitations. We grouped delivery arrangements into eight categories. Some reviews provided more than one comparison and were in more than one category. Across these categories, the following intervention were effective; that is, they have desirable effects on at least one outcome with moderate- or high-certainty evidence and no moderate- or high-certainty evidence of undesirable effects. Who receives care and when: queuing strategies and antenatal care to groups of mothers. Who provides care: lay health workers for caring for people with hypertension, lay health workers to deliver care for mothers and children or infectious diseases, lay health workers to deliver community-based neonatal care packages, midlevel health professionals for abortion care, social support to pregnant women at risk, midwife-led care for childbearing women, non-specialist providers in mental health and neurology, and physician-nurse substitution. Coordination of care: hospital clinical pathways, case management for people living with HIV and AIDS, interactive communication between primary care doctors and specialists, hospital discharge planning, adding a service to an existing service and integrating delivery models, referral from primary to secondary care, physician-led versus nurse-led triage in emergency departments, and team midwifery. Where care is provided: high-volume institutions, home-based care (with or without multidisciplinary team) for people living with HIV and AIDS, home-based management of malaria, home care for children with acute physical conditions, community-based interventions for childhood diarrhoea and pneumonia, out-of-facility HIV and reproductive health services for youth, and decentralised HIV care. Information and communication technology: mobile phone messaging for patients with long-term illnesses, mobile phone messaging reminders for attendance at healthcare appointments, mobile phone messaging to promote adherence to antiretroviral therapy, women carrying their own case notes in pregnancy, interventions to improve childhood vaccination. Quality and safety systems: decision support with clinical information systems for people living with HIV/AIDS. Complex interventions (cutting across delivery categories and other health system arrangements): emergency obstetric referral interventions. AUTHORS' CONCLUSIONS A wide range of strategies have been evaluated for improving delivery arrangements in low-income countries, using sound systematic review methods in both Cochrane and non-Cochrane reviews. These reviews have assessed a range of outcomes. Most of the available evidence focuses on who provides care, where care is provided and coordination of care. For all the main categories of delivery arrangements, we identified gaps in primary research related to uncertainty about the applicability of the evidence to low-income countries, low- or very low-certainty evidence or a lack of studies.
Collapse
Affiliation(s)
- Agustín Ciapponi
- Institute for Clinical Effectiveness and Health Policy (IECS‐CONICET)Argentine Cochrane CentreDr. Emilio Ravignani 2024Buenos AiresCapital FederalArgentinaC1414CPV
| | - Simon Lewin
- Norwegian Institute of Public HealthPO Box 4404OsloNorway0403
- South African Medical Research CouncilHealth Systems Research UnitPO Box 19070TygerbergSouth Africa7505
| | - Cristian A Herrera
- Pontificia Universidad Católica de ChileDepartment of Public Health, School of MedicineMarcoleta 434SantiagoChile
- Pontificia Universidad Católica de ChileEvidence Based Health Care ProgramSantiagoChile
| | - Newton Opiyo
- CochraneCochrane Editorial UnitSt Albans House, 57‐59 HaymarketLondonUKSW1Y 4QX
| | - Tomas Pantoja
- Pontificia Universidad Católica de ChileEvidence Based Health Care ProgramSantiagoChile
- Pontificia Universidad Católica de ChileDepartment of Family Medicine, Faculty of MedicineCentro Medico San Joaquin, Vicuña Mackenna 4686MaculSantiagoChile
| | | | - Gabriel Rada
- Pontificia Universidad Católica de ChileEvidence Based Health Care ProgramSantiagoChile
- Pontificia Universidad Católica de ChileDepartment of Internal Medicine and Evidence‐Based Healthcare Program, Faculty of MedicineLira 44, Decanato Primer pisoSantiagoChile
| | - Charles S Wiysonge
- South African Medical Research CouncilCochrane South AfricaFrancie van Zijl Drive, Parow ValleyCape TownWestern CapeSouth Africa7505
- Stellenbosch UniversityCentre for Evidence‐based Health Care, Faculty of Medicine and Health SciencesCape TownSouth Africa
| | - Gabriel Bastías
- Pontificia Universidad Católica de ChileDepartment of Public Health, School of MedicineMarcoleta 434SantiagoChile
| | - Lilian Dudley
- Stellenbosch UniversityDivision of Community Health, Faculty of Medicine and Health SciencesFransie Van Zyl DriveTygerbergCape TownSouth Africa7505
| | - Signe Flottorp
- Norwegian Institute of Public HealthDepartment for Evidence SynthesisPO Box 4404 NydalenOsloNorway0403
| | - Marie‐Pierre Gagnon
- CHU de Québec ‐ Université Laval Research CentrePopulation Health and Optimal Health Practices Research Unit10 Rue de l'Espinay, D6‐727Québec CityQCCanadaG1L 3L5
| | - Sebastian Garcia Marti
- Institute for Clinical Effectiveness and Health PolicyBuenos AiresCapital FederalArgentinaC1056ABH
| | - Claire Glenton
- Norwegian Institute of Public HealthGlobal Health UnitPO Box 7004 St Olavs plassOsloNorwayN‐0130
| | - Charles I Okwundu
- Stellenbosch UniversityCentre for Evidence‐based Health Care, Faculty of Medicine and Health SciencesCape TownSouth Africa
| | - Blanca Peñaloza
- Pontificia Universidad Católica de ChileEvidence Based Health Care ProgramSantiagoChile
- Pontificia Universidad Católica de ChileDepartment of Family Medicine, Faculty of MedicineCentro Medico San Joaquin, Vicuña Mackenna 4686MaculSantiagoChile
| | - Fatima Suleman
- University of KwaZulu‐NatalDiscipline of Pharmaceutical Sciences, School of Health SciencesPrivate Bag X54001DurbanKZNSouth Africa4000
| | - Andrew D Oxman
- Norwegian Institute of Public HealthPO Box 4404OsloNorway0403
| | | |
Collapse
|
24
|
Cicolo EA, Ayache Nishi F, Ciqueto Peres HH, Cruz DDALMD. Effectiveness of the Manchester Triage System on time to treatment in the emergency department: a systematic review protocol. ACTA ACUST UNITED AC 2017; 15:889-898. [DOI: 10.11124/jbisrir-2016-003119] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
|
25
|
Deslauriers S, Raymond MH, Laliberté M, Lavoie A, Desmeules F, Feldman DE, Perreault K. Access to publicly funded outpatient physiotherapy services in Quebec: waiting lists and management strategies. Disabil Rehabil 2016; 39:2648-2656. [PMID: 27758150 DOI: 10.1080/09638288.2016.1238967] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE Problems with access to outpatient physiotherapy services have been reported in publicly funded healthcare systems worldwide. A few studies have reported management strategies aimed at reducing extensive waiting lists, but their association with waiting times is not fully understood. The purpose of this study was to document access to public outpatient physiotherapy services for persons with musculoskeletal disorders in hospitals and explore organizational factors associated with waiting time. METHODS We surveyed outpatient physiotherapy services in publicly funded hospitals in the province of Quebec (Canada). RESULTS A total of 97 sites responded (99%) to the survey. The median waiting time was more than six months for 41% of outpatient physiotherapy services. The waiting time management strategies most frequently used were attendance and cancelation policies (99.0%) and referral prioritization (95.9%). Based on multivariate analyses, the use of a prioritization process with an initial evaluation and intervention was associated with shorter waiting times (p = 0.008). CONCLUSIONS Our findings provide evidence that a large number of persons wait a long time for publicly funded physiotherapy services in Quebec. Based on our results, implementation of a prioritization process with an initial evaluation and intervention could help improve timely access to outpatient physiotherapy services. Implications for Rehabilitation Access to publicly funded outpatient physiotherapy services is limited by long waiting times in a great proportion of Quebec's hospitals. The use of a specific prioritization process that combines an evaluation and an intervention could possibly help improve timely access to services. Policy-makers, managers, and other stakeholders should work together to address the issue of limited access to publicly funded outpatient physiotherapy services.
Collapse
Affiliation(s)
- Simon Deslauriers
- a Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS) , Quebec City , Quebec , Canada.,b Department of Rehabilitation, Faculty of Medicine , Université Laval , Quebec City , Quebec , Canada
| | - Marie-Hélène Raymond
- c School of Rehabilitation, Faculty of Medicine , Université de Montréal , Montreal , Quebec , Canada.,d Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR) , Montreal , Quebec , Canada
| | - Maude Laliberté
- c School of Rehabilitation, Faculty of Medicine , Université de Montréal , Montreal , Quebec , Canada.,d Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR) , Montreal , Quebec , Canada
| | - Amélie Lavoie
- a Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS) , Quebec City , Quebec , Canada.,b Department of Rehabilitation, Faculty of Medicine , Université Laval , Quebec City , Quebec , Canada
| | - François Desmeules
- c School of Rehabilitation, Faculty of Medicine , Université de Montréal , Montreal , Quebec , Canada.,e Maisonneuve-Rosemont Hospital Research Centre , Montreal , Quebec , Canada
| | - Debbie E Feldman
- c School of Rehabilitation, Faculty of Medicine , Université de Montréal , Montreal , Quebec , Canada.,d Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR) , Montreal , Quebec , Canada.,f Direction of Public Health of the Centre intégré universitaire de santé et de services sociaux du Centre-Est-de-l'ḽle-de-Montréal , Montreal , Quebec , Canada
| | - Kadija Perreault
- a Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS) , Quebec City , Quebec , Canada.,b Department of Rehabilitation, Faculty of Medicine , Université Laval , Quebec City , Quebec , Canada
| |
Collapse
|
26
|
Harding KE, Watts JJ, Karimi L, O'Reilly M, Kent B, Kotis M, Leggat SG, Kearney J, Taylor NF. Improving access for community health and sub-acute outpatient services: protocol for a stepped wedge cluster randomised controlled trial. BMC Health Serv Res 2016; 16:364. [PMID: 27506923 PMCID: PMC4977711 DOI: 10.1186/s12913-016-1611-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2016] [Accepted: 07/30/2016] [Indexed: 12/02/2022] Open
Abstract
Background Waiting lists for treatment are common in outpatient and community services, Existing methods for managing access and triage to these services can lead to inequities in service delivery, inefficiencies and divert resources from frontline care. Evidence from two controlled studies indicates that an alternative to the traditional “waitlist and triage” model known as STAT (Specific Timely Appointments for Triage) may be successful in reducing waiting times without adversely affecting other aspects of patient care. This trial aims to test whether the model is cost effective in reducing waiting time across multiple services, and to measure the impact on service provision, health-related quality of life and patient satisfaction. Methods/design A stepped wedge cluster randomised controlled trial has been designed to evaluate the impact of the STAT model in 8 community health and outpatient services. The primary outcome will be waiting time from referral to first appointment. Secondary outcomes will be nature and quantity of service received (collected from all patients attending the service during the study period and health-related quality of life (AQOL-8D), patient satisfaction, health care utilisation and cost data (collected from a subgroup of patients at initial assessment and after 12 weeks). Data will be analysed with a multiple multi-level random-effects regression model that allows for cluster effects. An economic evaluation will be undertaken alongside the clinical trial. Discussion This paper outlines the study protocol for a fully powered prospective stepped wedge cluster randomised controlled trial (SWCRCT) to establish whether the STAT model of access and triage can reduce waiting times applied across multiple settings, without increasing health service costs or adversely impacting on other aspects of patient care. If successful, it will provide evidence for the effectiveness of a practical model of access that can substantially reduce waiting time for outpatient and community services with subsequent benefits for both efficiency of health systems and patient care. Trial registration Australian and New Zealand Clinical Trials Registry ACTRN12615001016527. Approved 15/9/2015.
Collapse
Affiliation(s)
- Katherine E Harding
- La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia. .,Eastern Health, 5 Arnold Street, Box Hill, VIC, 3128, Australia.
| | - Jennifer J Watts
- Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia
| | - Leila Karimi
- La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia
| | - Mary O'Reilly
- Eastern Health, 5 Arnold Street, Box Hill, VIC, 3128, Australia
| | - Bridie Kent
- Plymouth University, Drake Circus, Plymouth, Devon, PL4 8AA, UK
| | - Michelle Kotis
- Victorian Department of Health and Community Services, 50 Lonsdale Street, Melbourne, VIC, 3000, Australia
| | - Sandra G Leggat
- La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia
| | - Jackie Kearney
- Victorian Department of Health and Community Services, 50 Lonsdale Street, Melbourne, VIC, 3000, Australia
| | - Nicholas F Taylor
- La Trobe University, Kingsbury Drive, Bundoora, VIC, 3086, Australia.,Eastern Health, 5 Arnold Street, Box Hill, VIC, 3128, Australia
| |
Collapse
|
27
|
Turner J, Coster J, Chambers D, Cantrell A, Phung VH, Knowles E, Bradbury D, Goyder E. What evidence is there on the effectiveness of different models of delivering urgent care? A rapid review. HEALTH SERVICES AND DELIVERY RESEARCH 2015. [DOI: 10.3310/hsdr03430] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BackgroundIn 2013 NHS England set out its strategy for the development of an emergency and urgent care system that is more responsive to patients’ needs, improves outcomes and delivers clinically excellent and safe care. Knowledge about the current evidence base on models for provision of safe and effective urgent care, and the gaps in evidence that need to be addressed, can support this process.ObjectiveThe purpose of the evidence synthesis is to assess the nature and quality of the existing evidence base on delivery of emergency and urgent care services and identify gaps that require further primary research or evidence synthesis.Data sourcesMEDLINE, EMBASE, The Cochrane Library, the Cumulative Index to Nursing and Allied Health Literature (CINAHL) and the Web of Science.MethodsWe have conducted a rapid, framework-based, evidence synthesis approach. Five separate reviews linked to themes in the NHS England review were conducted. One general and five theme-specific database searches were conducted for the years 1995–2014. Relevant systematic reviews and additional primary research papers were included and narrative assessment of evidence quality was conducted for each review.ResultsThe review was completed in 6 months. In total, 45 systematic reviews and 102 primary research studies have been included across all five reviews. The key findings for each review are as follows: (1) demand – there is little empirical evidence to explain increases in demand for urgent care; (2) telephone triage – overall, these services provide appropriate and safe decision-making with high patient satisfaction, but the required clinical skill mix and effectiveness in a system is unclear; (3) extended paramedic roles have been implemented in various health settings and appear to be successful at reducing the number of transports to hospital, making safe decisions about the need for transport and delivering acceptable, cost-effective care out of hospital; (4) emergency department (ED) – the evidence on co-location of general practitioner services with EDs indicates that there is potential to improve care. The attempt to summarise the evidence about wider ED operations proved to be too complex and further focused reviews are needed; and (5) there is no empirical evidence to support the design and development of urgent care networks.LimitationsAlthough there is a large body of evidence on relevant interventions, much of it is weak, with only very small numbers of randomised controlled trials identified. Evidence is dominated by single-site studies, many of which were uncontrolled.ConclusionsThe evidence gaps of most relevance to the delivery of services are (1) a requirement for more detailed understanding and mapping of the characteristics of demand to inform service planning; (2) assessment of the current state of urgent care network development and evaluation of the effectiveness of different models; and (3) expanding the current evidence base on existing interventions that are viewed as central to delivery of the NHS England plan by assessing the implications of increasing interventions at scale and measuring costs and system impact. It would be prudent to develop a national picture of existing pilot projects or interventions in development to support decisions about research commissioning.FundingThe National Institute for Health Research Health Services and Delivery Research Programme.
Collapse
Affiliation(s)
- Janette Turner
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Joanne Coster
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Duncan Chambers
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Anna Cantrell
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Viet-Hai Phung
- College of Social Science, University of Lincoln, Lincoln, UK
| | - Emma Knowles
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Daniel Bradbury
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Elizabeth Goyder
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| |
Collapse
|
28
|
Saghafian S, Austin G, Traub SJ. Operations research/management contributions to emergency department patient flow optimization: Review and research prospects. ACTA ACUST UNITED AC 2015. [DOI: 10.1080/19488300.2015.1017676] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
29
|
|
30
|
Thomas RE. Application of Queuing Analytic Theory to Decrease Waiting Times in Emergency Department: A Review. ARCHIVES OF TRAUMA RESEARCH 2013; 2:54-5. [PMID: 24396792 PMCID: PMC3876510 DOI: 10.5812/atr.9859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/19/2012] [Revised: 12/21/2012] [Accepted: 01/03/2013] [Indexed: 11/16/2022]
Affiliation(s)
- Roger Edmund Thomas
- Department of Family Medicine, Faculty of Medicine, University of Calgary, Alberta, Canada
- Corresponding author: Roger Edmund Thomas, Department of Family Medicine, Faculty of Medicine, University of Calgar, Alberta, Canada. Tel.: +1-4032109255, Fax: +1-4032704329, E-mail:
| |
Collapse
|
31
|
Iles R. A physiotherapy telephone assessment and advice service for patients with musculoskeletal problems can improve the process of care while maintaining clinical effectiveness. J Physiother 2013; 59:130. [PMID: 23663802 DOI: 10.1016/s1836-9553(13)70169-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Abstract
QUESTION Does a physiotherapy telephone assessment and advice service (PhysioDirect) affect physical health and improve the process of care in patients with musculoskeletal problems? DESIGN Randomised controlled trial with concealed allocation and blinded outcome assessment. SETTING Four community physiotherapy services drawing patients from 94 general practices in England. PARTICIPANTS Adults referred by a general practitioner or self-referred to physiotherapy for a musculoskeletal problem were eligible for inclusion. Referral from a consultant and an inability to communicate in English were key exclusion criteria. Randomisation of 2256 participants at a ratio of 2:1 allocated 1513 to PhysioDirect and 743 to the usual care physiotherapy. INTERVENTIONS PhysioDirect participants were invited to telephone a physiotherapist for initial assessment and advice followed by further telephone advice and face-to-face physiotherapy if necessary. After the initial call most participants were sent written advice about self management and exercises. The usual-care comparison group joined a waiting list for face-to-face physiotherapy management. OUTCOME MEASURES The primary outcome was change in physical health, measured with the physical component summary (PCS) measure from the SF-36 questionnaire at 6 weeks and 6 months. Secondary clinical outcome measures included the Measure Yourself Medical Outcomes Profile, global improvement in the main problem, and questions about satisfaction from the General Practice Assessment Questionnaire; and measures of process of care, including number of appointments, and waiting time. RESULTS Primary outcome data were obtained from 85% of participants at 6 months. There was no difference in the SF-36 PCS measure between the PhysioDirect and comparison groups at 6 months (Mean difference (MD) = -0.01, 95% CI -0.80 to 0.79) and 6 weeks (MD 0.42, 95% CI -0.28 to 1.12). There were no differences between the groups in other clinical outcomes at 6 months, but there were small improvements in the PhysioDirect group at 6 weeks in the global improvement score (MD 0.15 units, 95% CI 0.02 to 0.28) and in the Measure Yourself Medical Outcomes Profile score (MD -0.19 units, 95%CI -0.30 to -0.07). 47% of PhysioDirect participants were managed entirely by telephone, and they had fewer face-to- face appointments (mean 1.9 vs 3.1), and a shorter wait for physiotherapy treatment (median 7 vs 34 days) than the comparison group. PhysioDirect participants were less satisfied with the service than the comparison group (MD -3.8%, 95% CI -7.3 to -0.3). CONCLUSION Providing an initial telephone physiotherapy service for patients with musculoskeletal problems that reduced waiting time and required fewer appointments was as effective as providing face-to-face physiotherapy, but was associated with slightly lower patient satisfaction.
Collapse
Affiliation(s)
- Ross Iles
- Department of Physiotherapy, Monash University, Australia
| |
Collapse
|
32
|
Lidal IB, Holte HH, Vist GE. Triage systems for pre-hospital emergency medical services - a systematic review. Scand J Trauma Resusc Emerg Med 2013; 21:28. [PMID: 23587133 PMCID: PMC3641954 DOI: 10.1186/1757-7241-21-28] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2012] [Accepted: 03/24/2013] [Indexed: 12/25/2022] Open
Abstract
The emergency medical services (EMS) cover initiatives and services established to provide essential medical assistance in situations of acute illness. Triage-methods for systematic prioritizing of patients according to how urgent patients need care, including triage of requests of acute medical treatment, are adopted in hospitals as well as in the pre-hospital settings. This systematic review searched to identify available research on the effects of validated triage systems for use in the pre-hospital EMS on health outcomes, patient safety, patient satisfaction, user-friendliness, resource use, goal achievement, and the quality on the information exchange between the different settings of the EMS (for example the quality of documentation). The specific research questions were: 1) are pre-hospital triage systems effective, 2) is one triage system more effective than others, and 3) is it effective to use the same triage system in two or more settings of the EMS-chain? We conducted a systematic literature search in nine databases up to June 2012. We searched for systematic reviews (SRs), randomized controlled trials (RCTs), non-randomized controlled trials (non-RCTs), controlled before and after studies (CBAs) and interrupted time series analyses (ITSs). Two persons independently reviewed titles and abstracts, and the same persons read all possibly relevant full text articles and rated the methodological quality where relevant. The literature search identified 11011 unique references. A total of 120 publications were read in full text. None of the identified articles fulfilled our inclusion criteria, thus our question on the effects of pre-hospital triage systems, if one system is better than other systems, and the question on effects of using the same triage system in two or more settings of the EMS, remain unanswered. We conclude that there is an evidence gap regarding the effects of pre-hospital triage systems and the effects of using the same triage system in two or more settings of the EMS. The finding does not mean that pre-hospital triage systems are ineffective, but that we lack knowledge about potential effects. When introducing a new assessment tool in the EMS, it is timely to conduct well-planned studies aimed to assess the effect.
Collapse
Affiliation(s)
- Ingeborg Beate Lidal
- The Norwegian Knowledge Centre for the Health Services, St, Olavs plass, Po Box 7004, OSLO, 0130, Norway.
| | | | | |
Collapse
|
33
|
Storm-Versloot MN, Vermeulen H, van Lammeren N, Luitse JSK, Goslings JC. Influence of the Manchester triage system on waiting time, treatment time, length of stay and patient satisfaction; a before and after study. Emerg Med J 2013; 31:13-8. [DOI: 10.1136/emermed-2012-201099] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
|
34
|
|
35
|
Harding KE, Leggat SG, Bowers B, Stafford M, Taylor NF. Reducing waiting time for community rehabilitation services: a controlled before-and-after trial. Arch Phys Med Rehabil 2012; 94:23-31. [PMID: 22926459 DOI: 10.1016/j.apmr.2012.08.207] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2012] [Revised: 07/16/2012] [Accepted: 08/10/2012] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To investigate whether a simple alternative (specific timely appointments for triage [STAT]) to the more common approach of managing demand using a waitlist with a triage system could reduce waiting time for a community rehabilitation program (CRP) without adverse impacts on patient care. DESIGN A prospective, controlled before-and-after trial. Preintervention and postintervention data were collected for 6 months in 2 consecutive years. STAT was introduced at an intervention site and compared with a control site using a triaged waitlist. SETTING Two musculoskeletal CRP teams within a large metropolitan health service. PARTICIPANTS All patients referred to both sites during periods preintervention (n=483) and postintervention (n=488). INTERVENTION Under STAT, clinicians created a specified number of assessment times each week based on average referral numbers, and patients were immediately allocated an appointment on referral. MAIN OUTCOME MEASURES The primary outcome was the time from referral to first appointment; secondary outcomes included program duration, quality-of-life scores (using the EuroQol EQ-5D), and unplanned hospital admissions. RESULTS Waiting time decreased from a mean of 17.5 days to 10.0 days (P<.01) at the intervention site, with no significant change at the control site. Intervention site patients were over 3 times more likely to be seen within 7 days than control site patients (odds ratio, 3.3; 95% confidence interval, 2.2-4.9). Secondary outcomes did not differ significantly between groups. CONCLUSIONS A simple alternative to using a triaged waitlist to manage CRP referrals reduced waiting time without adversely affecting care. Results were sustained over 6 months with no additional resources.
Collapse
Affiliation(s)
- Katherine E Harding
- Faculty of Health Sciences, La Trobe University, Melbourne, Australia; Allied Health Research Office, Eastern Health, Melbourne, Australia.
| | | | | | | | | |
Collapse
|
36
|
Harding KE, Taylor NF, Leggat SG, Stafford M. Effect of Triage on Waiting Time for Community Rehabilitation: A Prospective Cohort Study. Arch Phys Med Rehabil 2012; 93:441-5. [DOI: 10.1016/j.apmr.2011.09.021] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2011] [Revised: 09/29/2011] [Accepted: 09/30/2011] [Indexed: 11/26/2022]
|