-
Tytuł:
-
Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review.
-
Autorzy:
-
Carini E; Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy. .; Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168, Rome, Italy. .
Gabutti I; Alta Scuola di Economia e Management dei Sistemi Sanitari (ALTEMS), Università Cattolica del Sacro Cuore, Rome, Italy.
Frisicale EM; Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168, Rome, Italy.; Local Health Authority, ASL Roma 1, Rome, Italy.
Di Pilla A; Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168, Rome, Italy.
Pezzullo AM; Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168, Rome, Italy.
de Waure C; Dipartimento di Medicina Sperimentale, Università di Perugia, Perugia, Italy.
Cicchetti A; Alta Scuola di Economia e Management dei Sistemi Sanitari (ALTEMS), Università Cattolica del Sacro Cuore, Rome, Italy.
Boccia S; Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.; Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168, Rome, Italy.
Specchia ML; Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.; Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168, Rome, Italy.
-
Źródło:
-
BMC health services research [BMC Health Serv Res] 2020 Nov 12; Vol. 20 (1), pp. 1038. Date of Electronic Publication: 2020 Nov 12.
-
Typ publikacji:
-
Journal Article; Review
-
Język:
-
English
-
Imprint Name(s):
-
Original Publication: London : BioMed Central, [2001-
-
MeSH Terms:
-
Quality Indicators, Health Care*
Hospitals/*standards
Databases, Factual ; Humans ; Quality of Health Care
-
References:
-
Health Policy. 2005 Nov;74(3):261-81. (PMID: 16226138)
Intern Med J. 2009 Jun;39(6):352-60. (PMID: 19323697)
Evid Based Ment Health. 2018 Aug;21(3):95-100. (PMID: 30006442)
Health Care Manage Rev. 2017 Oct/Dec;42(4):341-351. (PMID: 27351481)
Health Policy. 2013 Sep;112(1-2):80-7. (PMID: 23582633)
BMC Health Serv Res. 2017 May 22;17(1):364. (PMID: 28532463)
PLoS Med. 2009 Jul 21;6(7):e1000097. (PMID: 19621072)
BMC Health Serv Res. 2013 Jun 12;13:212. (PMID: 23758921)
Qual Manag Health Care. 2002 Summer;10(4):41-52. (PMID: 12938256)
Ergonomics. 2018 Oct 15;:1. (PMID: 30232934)
Health Serv Manage Res. 1997 May;10(2):91-106. (PMID: 10168964)
J Surg Res. 2010 Jun 15;161(2):190-4. (PMID: 19932907)
Health Info Libr J. 2009 Jun;26(2):91-108. (PMID: 19490148)
BMJ. 2017 Sep 21;358:j4008. (PMID: 28935701)
Int J Health Plann Manage. 2014 Jul-Sep;29(3):e187-206. (PMID: 24474603)
Int J Qual Health Care. 2008 Jun;20(3):162-71. (PMID: 18339665)
J Med Syst. 2012 Feb;36(1):201-21. (PMID: 20703735)
Int J Qual Health Care. 2005 Dec;17(6):487-96. (PMID: 16155049)
Med Care Res Rev. 2013 Aug;70(4):351-79. (PMID: 23169897)
-
Grant Information:
-
779312 Horizon 2020 Framework Programme
-
Contributed Indexing:
-
Keywords: Hospital evaluation; Hospital performance; Indicator; Performance dimensions; Performance measurement; Quality
-
Entry Date(s):
-
Date Created: 20201113 Date Completed: 20210407 Latest Revision: 20231112
-
Update Code:
-
20240105
-
PubMed Central ID:
-
PMC7663881
-
DOI:
-
10.1186/s12913-020-05879-y
-
PMID:
-
33183304
-
Background: Patients' increasing needs and expectations require an overall assessment of hospital performance. Several international agencies have defined performance indicators sets but there exists no unanimous classification. The Impact HTA Horizon2020 Project wants to address this aspect, developing a toolkit of key indicators to measure hospital performance. The aim of this review is to identify and classify the dimensions of hospital performance indicators in order to develop a common language and identify a shared evidence-based way to frame and address performance assessment.
Methods: Following the PRISMA statement, PubMed, Cochrane Library and Web of Science databases were queried to perform an umbrella review. Reviews focusing on hospital settings, published January 2000-June 2019 were considered. The quality of the studies selected was assessed using the AMSTAR2 tool.
Results: Six reviews ranging 2002-2014 were included. The following dimensions were described in at least half of the studies: 6 studies classified efficiency (55 indicators analyzed); 5 studies classified effectiveness (13 indicators), patient centeredness (10 indicators) and safety (8 indicators); 3 studies responsive governance (2 indicators), staff orientation (10 indicators) and timeliness (4 indicators). Three reviews did not specify the indicators related to the dimensions listed, and one article gave a complete definition of the meaning of each dimension and of the related indicators.
Conclusions: The research shows emphasis of the importance of patient centeredness, effectiveness, efficiency, and safety dimensions. Especially, greater attention is given to the dimensions of effectiveness and efficiency. Assessing the overall quality of clinical pathways is key in guaranteeing a truly effective and efficient system but, to date, there still exists a lack of awareness and proactivity in terms of measuring performance of nodes within networks. The effort of classifying and systematizing performance measurement techniques across hospitals is essential at the organizational, regional/national and possibly international levels to deliver top quality care to patients.
Zaloguj się, aby uzyskać dostęp do pełnego tekstu.
