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Performance measures of the specialty referral process: a systematic review of the literature

BACKGROUND: Performance of specialty referrals is coming under scrutiny, but a lack of identifiable measures impedes measurement efforts. The objective of this study was to systematically review the literature to identify published measures that assess specialty referrals. METHODS: We performed a sy...

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Autores principales: Guevara, James P, Hsu, Diane, Forrest, Christopher B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3155905/
https://www.ncbi.nlm.nih.gov/pubmed/21752285
http://dx.doi.org/10.1186/1472-6963-11-168
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author Guevara, James P
Hsu, Diane
Forrest, Christopher B
author_facet Guevara, James P
Hsu, Diane
Forrest, Christopher B
author_sort Guevara, James P
collection PubMed
description BACKGROUND: Performance of specialty referrals is coming under scrutiny, but a lack of identifiable measures impedes measurement efforts. The objective of this study was to systematically review the literature to identify published measures that assess specialty referrals. METHODS: We performed a systematic review of the literature for measures of specialty referral. Searches were made of MEDLINE and HealthSTAR databases, references of eligible papers, and citations provided by content experts. Measures were eligible if they were published from January 1973 to June 2009, reported on validity and/or reliability of the measure, and were applicable to Organization for Economic Cooperation and Development healthcare systems. We classified measures according to a conceptual framework, which underwent content validation with an expert panel. RESULTS: We identified 2,964 potentially eligible papers. After abstract and full-text review, we selected 214 papers containing 244 measures. Most measures were applied in adults (57%), assessed structural elements of the referral process (60%), and collected data via survey (62%). Measures were classified into non-mutually exclusive domains: need for specialty care (N = 14), referral initiation (N = 73), entry into specialty care (N = 53), coordination (N = 60), referral type (N = 3), clinical tasks (N = 19), resource use (N = 13), quality (N = 57), and outcomes (N = 9). CONCLUSIONS: Published measures are available to assess the specialty referral process, although some domains are limited. Because many of these measures have been not been extensively validated in general populations, assess limited aspects of the referral process, and require new data collection, their applicability and preference in assessment of the specialty referral process is needed.
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spelling pubmed-31559052011-08-16 Performance measures of the specialty referral process: a systematic review of the literature Guevara, James P Hsu, Diane Forrest, Christopher B BMC Health Serv Res Research Article BACKGROUND: Performance of specialty referrals is coming under scrutiny, but a lack of identifiable measures impedes measurement efforts. The objective of this study was to systematically review the literature to identify published measures that assess specialty referrals. METHODS: We performed a systematic review of the literature for measures of specialty referral. Searches were made of MEDLINE and HealthSTAR databases, references of eligible papers, and citations provided by content experts. Measures were eligible if they were published from January 1973 to June 2009, reported on validity and/or reliability of the measure, and were applicable to Organization for Economic Cooperation and Development healthcare systems. We classified measures according to a conceptual framework, which underwent content validation with an expert panel. RESULTS: We identified 2,964 potentially eligible papers. After abstract and full-text review, we selected 214 papers containing 244 measures. Most measures were applied in adults (57%), assessed structural elements of the referral process (60%), and collected data via survey (62%). Measures were classified into non-mutually exclusive domains: need for specialty care (N = 14), referral initiation (N = 73), entry into specialty care (N = 53), coordination (N = 60), referral type (N = 3), clinical tasks (N = 19), resource use (N = 13), quality (N = 57), and outcomes (N = 9). CONCLUSIONS: Published measures are available to assess the specialty referral process, although some domains are limited. Because many of these measures have been not been extensively validated in general populations, assess limited aspects of the referral process, and require new data collection, their applicability and preference in assessment of the specialty referral process is needed. BioMed Central 2011-07-13 /pmc/articles/PMC3155905/ /pubmed/21752285 http://dx.doi.org/10.1186/1472-6963-11-168 Text en Copyright ©2011 Guevara et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Guevara, James P
Hsu, Diane
Forrest, Christopher B
Performance measures of the specialty referral process: a systematic review of the literature
title Performance measures of the specialty referral process: a systematic review of the literature
title_full Performance measures of the specialty referral process: a systematic review of the literature
title_fullStr Performance measures of the specialty referral process: a systematic review of the literature
title_full_unstemmed Performance measures of the specialty referral process: a systematic review of the literature
title_short Performance measures of the specialty referral process: a systematic review of the literature
title_sort performance measures of the specialty referral process: a systematic review of the literature
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3155905/
https://www.ncbi.nlm.nih.gov/pubmed/21752285
http://dx.doi.org/10.1186/1472-6963-11-168
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