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Elliot C, Hopwood N, Moraby K, Crockett N, Wright S, Vanos K, Furey K, Hammond A, Handley S, Dalby-Payne J, Dadich A, Gottschalk B, Ooi CY, Woolfenden S. New consensus definition on defining and measuring care for children with paediatric feeding disorder. J Paediatr Child Health 2024; 60:58-66. [PMID: 38581288 DOI: 10.1111/jpc.16534] [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: 07/17/2023] [Revised: 10/31/2023] [Accepted: 03/18/2024] [Indexed: 04/08/2024]
Abstract
AIM This study addresses the absence of a definition of care for children with feeding disorders, limited agreement on key performance indicators (KPIs), and the lack of data linked to those KPIs. METHODS Clinicians, consumers and researchers involved in outpatient feeding care in New South Wales (NSW), Australia were invited to participate in a two-Phase study. In Phase 1, a modified Delphi method was used. Two rounds of voting resulted in a new consensus definition of a multidisciplinary paediatric feeding clinic. Three further rounds voting determined relevant KPIs. In Phase 2, the KPIs were piloted prospectively in 10 clinics. RESULTS Twenty-six clinicians, consumers and researchers participated in Phase 1. Participation across five voting rounds declined from 92% to 60% and a valid definition and KPI set were created. In Phase 2, the definition and KPIs were piloted in 10 clinics over 6 weeks. Data for 110 patients were collected. The final KPI set of 28 measures proposed covers clinical features, patient demographics and medical issues, parent-child interaction and outcome measures. CONCLUSIONS A new definition of a multidisciplinary paediatric feeding clinic is now available, linked to a standardised KPI set covering relevant performance measures. These proved viable in baseline data collection for 10 clinics across NSW. This sets a foundation for further data collection, systematic measurement of care provision and outcomes, and research needed to deliver care improvement for children with paediatric feeding disorder.
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Affiliation(s)
- Chris Elliot
- St George Hospital, Sydney, New South Wales, Australia
| | - Nick Hopwood
- University of Technology Sydney, Sydney, New South Wales, Australia
| | - Khadeejah Moraby
- University of South Australia, Adelaide, South Australia, Australia
| | | | - Simone Wright
- Developmental Disability Health Service, St George Hospital, Sydney, New South Wales, Australia
| | - Katelyn Vanos
- Sydney Children's Hospitals Network, Sydney, New South Wales, Australia
| | - Krystal Furey
- Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Anna Hammond
- Wollongong Hospital, Wollongong, New South Wales, Australia
| | - Siobhan Handley
- Sydney Children's Hospitals Network, Sydney, New South Wales, Australia
| | | | - Ann Dadich
- School of Business, Western Sydney University, Sydney, New South Wales, Australia
| | | | - Chee Y Ooi
- University of New South Wales, Sydney, New South Wales, Australia
| | - Susan Woolfenden
- University of New South Wales, Sydney, New South Wales, Australia
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Nabovati E, Farrahi R, Sadeqi Jabali M, Khajouei R, Abbasi R. Identifying and prioritizing the key performance indicators for hospital management dashboard at a national level: Viewpoint of hospital managers. Health Informatics J 2023; 29:14604582231221139. [PMID: 38062641 DOI: 10.1177/14604582231221139] [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: 12/18/2023]
Abstract
Participation of main users in identifying key performance indicators (KPIs) for management dashboards contributes to their success. The aim of this study was to identify and prioritize the KPIs of hospital management dashboards from the viewpoint of hospital managers. This study was conducted on managers of public hospitals at a national level in Iran in 2020. Data were collected using a self-administrated questionnaire. The KPIs were classified into five categories, namely financial, operational, human resources, safety and quality of care, services provided to patients. A total of 234 hospital managers participated in this study. Totally, 25 KPIs were determined for the hospital management dashboard, including the patient falls rate, waiting time for patients in the emergency department, patient satisfaction, total hospital revenue, financial balance, bed occupancy rate, patients' discharge with own agreement, average length of stay, and personnel satisfaction. For designing hospital management dashboards, the domains of services provided to patients, safety and quality of care, financial resources, human resources, and operational are important from the hospital managers' viewpoint, respectively. The results of this study can be helpful for developers of business intelligence tools, such as hospital management dashboards, to visualize the most important indicators for managers.
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Affiliation(s)
- Ehsan Nabovati
- Health Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran
- Department of Health Information Management & Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran
| | - Razieh Farrahi
- Department of Health Information Technology, Ferdows Faculty of Medical Sciences, Birjand University of Medical Sciences, Birjand, Iran
- Department of Management and Health Information Technology, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Monireh Sadeqi Jabali
- Department of Health Information Technology, Ferdows Faculty of Medical Sciences, Birjand University of Medical Sciences, Birjand, Iran
- Department of Management and Health Information Technology, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Reza Khajouei
- Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
- Department of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran
| | - Reza Abbasi
- Department of Health Information Technology, School of Paramedical Sciences, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran
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Heenan MA, Randall GE, Evans JM. Selecting Performance Indicators and Targets in Health Care: An International Scoping Review and Standardized Process Framework. Healthc Policy 2022; 15:747-764. [PMID: 35478929 PMCID: PMC9038160 DOI: 10.2147/rmhp.s357561] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 04/04/2022] [Indexed: 11/30/2022] Open
Abstract
Objective Health care organizations monitor hundreds of performance indicators. It is unclear what processes and criteria organizations use to identify the indicators they use, who is involved in these processes, how performance targets are set, and what the impacts of these processes are. The purpose of this study is to synthesize international approaches to indicator selection and develop a standardized process framework. Methods Using the PubMed and Web of Science search engines, a scoping review of peer reviewed and grey literature following PRISMA-ScR guidelines was conducted to identify documents describing indicator selection processes used by health systems. English-language papers from 11 countries published from 2010 to 2020 were included. Papers were thematically analyzed to develop a standardized process framework. Results The review included 33 peer-reviewed papers and 11 grey-literature documents. While there are common practices used in health care to select indicators, no single standardized process framework for indicator selection exists. Arbitrary or incomplete indicator selection processes risk over-measurement, lack of alignment with strategic and operational goals, lack of support by end-users, and paralyzed decision-making ability. By consolidating international practices, we developed the 5-P indicator selection process framework to mitigate process risks and support high-quality indicator selection processes. Conclusion The 5-P indicator selection process framework consists of five domains and 17 elements, and offers health care agencies a practical structure they can use to design indicator selection processes. The framework also provides researchers with a basis by which the implementation of these processes may be evaluated.
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Affiliation(s)
- Michael A Heenan
- DeGroote School of Business, McMaster University, Hamilton, Ontario, Canada
- Correspondence: Michael A Heenan, Email
| | - Glen E Randall
- DeGroote School of Business, McMaster University, Hamilton, Ontario, Canada
| | - Jenna M Evans
- DeGroote School of Business, McMaster University, Hamilton, Ontario, Canada
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Gartner JB, Lemaire C. Dimensions of performance and related key performance indicators addressed in healthcare organisations: A literature review. Int J Health Plann Manage 2022; 37:1941-1952. [PMID: 35288968 DOI: 10.1002/hpm.3452] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 08/23/2021] [Accepted: 02/12/2022] [Indexed: 11/11/2022] Open
Abstract
INTRODUCTION Performance measurement systems have become essential managerial tools for healthcare organisations in the last few decades. They allow hospital managers to pilot their institution and assess the development of the organisation in helping managers in decision-making and viewing the different impacts of these decisions. However, there is a need to investigate further the dimensions of performance those performance measurement systems address. METHODS A literature review was primarily conduced about performance measures in healthcare organisations. A comparative study was secondly made to identify the different performance dimensions that are present in the literature during the last decade. Forty-nine studies were considered and sixteen proposal frameworks were used to make the comparative analyses. RESULTS We classified dimensions depending on the frequency of mobilisation of their components in four categories: the stars, the first runners-up, the opportunists and the forgotten ones. For each of the dimensions presented in this classification, the main types of KPIs proposed in the theoretical frameworks are presented. A discussion on relevance and possible blind spots is then conducted. CONCLUSION Although they were a lot of proposal frameworks of KPI proposed in the last decades to assess healthcare organisations, some dimensions remain underrepresented. There is still a need to develop structure KPI and describe their links. To go further, the development of dashboards asks the question of the definition of KPI, the description of their interconnections and their temporality of driving, because static performance reporting systems are not able to completely satisfy healthcare manager's decision support needs.
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Affiliation(s)
- Jean-Baptiste Gartner
- Département de management, Faculté des sciences de l'administration, Université Laval, Québec, Québec, Canada.,Centre de recherche en gestion des services de santé, Université Laval, Québec, Québec, Canada.,Centre de recherche du CHU de Québec, Université Laval, Québec, Québec, Canada
| | - Célia Lemaire
- Université de Strasbourg, EM Strasbourg-Business School, HuManiS, Strasbourg, Alsace, France
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Pallua J, Schirmer M. Identification of Five Quality Needs for Rheumatology (Text Analysis and Literature Review). Front Med (Lausanne) 2021; 8:757102. [PMID: 34760902 PMCID: PMC8573257 DOI: 10.3389/fmed.2021.757102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 09/28/2021] [Indexed: 12/14/2022] Open
Abstract
Background: While the use of the term "quality" in industry relates to the basic idea of making processes measurable and standardizing processes, medicine focuses on achieving health goals that go far beyond the mere implementation of diagnostic and therapeutic processes. However, the quality management systems used are often simple, self-created concepts that concentrate on administrative processes without considering the quality of the results, which is essential for the patient. For several rheumatic diseases, both outcome and treatment goals have been defined. This work summarizes current mainstreams of strategies with published quality efforts in rheumatology. Methods: PubMed, Cochrane Library, and Web of Science were used to search for studies, and additional manual searches were carried out. Screening and content evaluation were carried out using the PRISMA-P 2015 checklist. After duplicate search in the Endnote reference management software (version X9.1), the software Rayyan QCRI (https://rayyan.qcri.org) was applied to check for pre-defined inclusion and exclusion criteria. Abstracts and full texts were screened and rated using Voyant Tools (https://voyant-tools.org/). Key issues were identified using the collocate analysis. Results: The number of selected publications was small but specific (14 relevant correlations with coefficients >0.8). Using trend analysis, 15 publications with relative frequency of keywords >0.0125 were used for content analysis, revealing 5 quality needs. The treat to target (T2T) initiative was identified as fundamental paradigm. Outcome parameters required for T2T also allow quality assessments in routine clinical work. Quality care by multidisciplinary teams also focusing on polypharmacy and other quality aspects become essential, A global software platform to assess quality aspects is missing. Such an approach requires reporting of multiple outcome parameters according to evidence-based clinical guidelines and recommendations for the different rheumatic diseases. All health aspects defined by the WHO (physical, mental, and social health) have to be integrated into the management of rheumatic patients. Conclusion: For the future, quality projects need goals defined by T2T based initiatives in routine clinical work, secondary quality goals include multidisciplinary cooperation and reduction of polypharmacy. Quality indicators and standards in different health systems will provide new information to optimize patients' care in different health systems.
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Affiliation(s)
- Johannes Pallua
- University Hospital for Orthopedics and Traumatology, Medical University of Innsbruck, Innsbruck, Austria.,Fachhochschule Gesundheit, Health University of Applied Sciences Tyrol, Innsbruck, Austria
| | - Michael Schirmer
- Department of Internal Medicine, University Clinic II, Innsbruck Medical University, Innsbruck, Austria
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