Improving Diabetes Care in Rural Areas : A Systematic Review and Meta-Analysis of Quality Improvement Interventions in OECD Countries
Despite well documented disparities in health and healthcare in rural communities, evidence in relation to quality improvement (QI) interventions in those settings is still lacking. The main goals of this work were to assess the effectiveness of QI strategies designed to improve diabetes care in rur...
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description | Despite well documented disparities in health and healthcare in rural communities, evidence in relation to quality improvement (QI) interventions in those settings is still lacking. The main goals of this work were to assess the effectiveness of QI strategies designed to improve diabetes care in rural areas, and identify characteristics associated with greater success.
We conducted a systematic review and meta-analysis. Systematic electronic searches were conducted in MEDLINE, EMBASE, CINAHL, and 12 additional bibliographic sources. Experimental studies carried out in the OECD member countries assessing the effectiveness of QI interventions aiming to improve diabetes care in rural areas were included. The effect of the interventions and their impact on glycated hemoglobin was pooled using a random-effects meta-analysis.
Twenty-six studies assessing the effectiveness of twenty QI interventions were included. Interventions targeted patients (45%), clinicians (5%), the health system (15%), or several targets (35%), and consisted of the implementation of one or multiple QI strategies. Most of the interventions produced a positive impact on processes of care or diabetes self-management, but a lower effect on health outcomes was observed. Interventions with multiple strategies and targeting the health system and/or clinicians were more likely to be effective. Six QI interventions were included in the meta-analysis (1,496 patients), which showed a significant reduction in overall glycated hemoglobin of 0.41 points from baseline in those patients receiving the interventions (95% CI -0.75% to -0.07%).
This work identified several characteristics associated with successful interventions to improve the quality of diabetes care in rural areas. Efforts to improve diabetes care in rural communities should focus on interventions with multiple strategies targeted at clinicians and/or the health system, rather than on traditional patient-oriented interventions. |
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We conducted a systematic review and meta-analysis. Systematic electronic searches were conducted in MEDLINE, EMBASE, CINAHL, and 12 additional bibliographic sources. Experimental studies carried out in the OECD member countries assessing the effectiveness of QI interventions aiming to improve diabetes care in rural areas were included. The effect of the interventions and their impact on glycated hemoglobin was pooled using a random-effects meta-analysis.
Twenty-six studies assessing the effectiveness of twenty QI interventions were included. Interventions targeted patients (45%), clinicians (5%), the health system (15%), or several targets (35%), and consisted of the implementation of one or multiple QI strategies. Most of the interventions produced a positive impact on processes of care or diabetes self-management, but a lower effect on health outcomes was observed. Interventions with multiple strategies and targeting the health system and/or clinicians were more likely to be effective. Six QI interventions were included in the meta-analysis (1,496 patients), which showed a significant reduction in overall glycated hemoglobin of 0.41 points from baseline in those patients receiving the interventions (95% CI -0.75% to -0.07%).
This work identified several characteristics associated with successful interventions to improve the quality of diabetes care in rural areas. Efforts to improve diabetes care in rural communities should focus on interventions with multiple strategies targeted at clinicians and/or the health system, rather than on traditional patient-oriented interventions.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0084464</identifier><identifier>PMID: 24367662</identifier><language>eng</language><publisher>San Francisco, CA: Public Library of Science</publisher><subject>Analysis ; Biological and medical sciences ; Case management ; Clinical trials ; Community Health Services - statistics & numerical data ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus, Type 2 - therapy ; Diabetes therapy ; Education ; Glucose ; Glycosylated hemoglobin ; Health aspects ; Health care ; Health sciences ; Hemoglobin ; Humans ; International Agencies ; Medical care quality ; Medical sciences ; Meta-analysis ; Miscellaneous ; Online searching ; Patients ; Population ; Primary care ; Public health ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Quality ; Quality control ; Quality improvement ; Quality Improvement - statistics & numerical data ; Quality management ; Rural areas ; Rural Population - statistics & numerical data ; Studies ; Systematic review ; Taxonomy ; Telemedicine ; Underserved populations</subject><ispartof>PloS one, 2013-12, Vol.8 (12), p.e84464-e84464</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Ricci-Cabello et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Ricci-Cabello et al 2013 Ricci-Cabello et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c788t-a52f997cb79b0d471b6c15435fbc28b6a286f15aca3293a02ba2e5a95c33468c3</citedby><cites>FETCH-LOGICAL-c788t-a52f997cb79b0d471b6c15435fbc28b6a286f15aca3293a02ba2e5a95c33468c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3868600/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3868600/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28579497$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24367662$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ricci-Cabello, Ignacio</creatorcontrib><creatorcontrib>Ruiz-Perez, Isabel</creatorcontrib><creatorcontrib>Rojas-García, Antonio</creatorcontrib><creatorcontrib>Pastor, Guadalupe</creatorcontrib><creatorcontrib>Gonçalves, Daniela C</creatorcontrib><title>Improving Diabetes Care in Rural Areas : A Systematic Review and Meta-Analysis of Quality Improvement Interventions in OECD Countries</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Despite well documented disparities in health and healthcare in rural communities, evidence in relation to quality improvement (QI) interventions in those settings is still lacking. The main goals of this work were to assess the effectiveness of QI strategies designed to improve diabetes care in rural areas, and identify characteristics associated with greater success.
We conducted a systematic review and meta-analysis. Systematic electronic searches were conducted in MEDLINE, EMBASE, CINAHL, and 12 additional bibliographic sources. Experimental studies carried out in the OECD member countries assessing the effectiveness of QI interventions aiming to improve diabetes care in rural areas were included. The effect of the interventions and their impact on glycated hemoglobin was pooled using a random-effects meta-analysis.
Twenty-six studies assessing the effectiveness of twenty QI interventions were included. Interventions targeted patients (45%), clinicians (5%), the health system (15%), or several targets (35%), and consisted of the implementation of one or multiple QI strategies. Most of the interventions produced a positive impact on processes of care or diabetes self-management, but a lower effect on health outcomes was observed. Interventions with multiple strategies and targeting the health system and/or clinicians were more likely to be effective. Six QI interventions were included in the meta-analysis (1,496 patients), which showed a significant reduction in overall glycated hemoglobin of 0.41 points from baseline in those patients receiving the interventions (95% CI -0.75% to -0.07%).
This work identified several characteristics associated with successful interventions to improve the quality of diabetes care in rural areas. 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The main goals of this work were to assess the effectiveness of QI strategies designed to improve diabetes care in rural areas, and identify characteristics associated with greater success.
We conducted a systematic review and meta-analysis. Systematic electronic searches were conducted in MEDLINE, EMBASE, CINAHL, and 12 additional bibliographic sources. Experimental studies carried out in the OECD member countries assessing the effectiveness of QI interventions aiming to improve diabetes care in rural areas were included. The effect of the interventions and their impact on glycated hemoglobin was pooled using a random-effects meta-analysis.
Twenty-six studies assessing the effectiveness of twenty QI interventions were included. Interventions targeted patients (45%), clinicians (5%), the health system (15%), or several targets (35%), and consisted of the implementation of one or multiple QI strategies. Most of the interventions produced a positive impact on processes of care or diabetes self-management, but a lower effect on health outcomes was observed. Interventions with multiple strategies and targeting the health system and/or clinicians were more likely to be effective. Six QI interventions were included in the meta-analysis (1,496 patients), which showed a significant reduction in overall glycated hemoglobin of 0.41 points from baseline in those patients receiving the interventions (95% CI -0.75% to -0.07%).
This work identified several characteristics associated with successful interventions to improve the quality of diabetes care in rural areas. Efforts to improve diabetes care in rural communities should focus on interventions with multiple strategies targeted at clinicians and/or the health system, rather than on traditional patient-oriented interventions.</abstract><cop>San Francisco, CA</cop><pub>Public Library of Science</pub><pmid>24367662</pmid><doi>10.1371/journal.pone.0084464</doi><tpages>e84464</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Biological and medical sciences Case management Clinical trials Community Health Services - statistics & numerical data Diabetes Diabetes mellitus Diabetes Mellitus, Type 2 - therapy Diabetes therapy Education Glucose Glycosylated hemoglobin Health aspects Health care Health sciences Hemoglobin Humans International Agencies Medical care quality Medical sciences Meta-analysis Miscellaneous Online searching Patients Population Primary care Public health Public health. Hygiene Public health. Hygiene-occupational medicine Quality Quality control Quality improvement Quality Improvement - statistics & numerical data Quality management Rural areas Rural Population - statistics & numerical data Studies Systematic review Taxonomy Telemedicine Underserved populations |
title | Improving Diabetes Care in Rural Areas : A Systematic Review and Meta-Analysis of Quality Improvement Interventions in OECD Countries |
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