Moving data off the shelf and into action: an intervention to improve data-informed decision making in Côte d'Ivoire
Improving a health system requires data, but too often they are unused or under-used by decision makers. Without interventions to improve the use of data in decision making, health systems cannot meet the needs of the populations they serve. In 2008, in Côte d'Ivoire, data were largely unused i...
Gespeichert in:
Veröffentlicht in: | Global health action 2014-01, Vol.7 (1), p.25035-25035 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 25035 |
---|---|
container_issue | 1 |
container_start_page | 25035 |
container_title | Global health action |
container_volume | 7 |
creator | Nutley, Tara Gnassou, Léontine Traore, Moussa Bosso, Abitche Edwige Mullen, Stephanie |
description | Improving a health system requires data, but too often they are unused or under-used by decision makers. Without interventions to improve the use of data in decision making, health systems cannot meet the needs of the populations they serve. In 2008, in Côte d'Ivoire, data were largely unused in health decision-making processes.
To implement and evaluate an intervention to improve the use of data in decision making in Cote d'Ivoire.
From 2008 to 2012, Cote d'Ivoire sought to improve the use of national health data through an intervention that broadens participation in and builds links between data collection and decision-making processes; identifies information needs; improves data quality; builds capacity to analyze, synthesize, and interpret data; and develops policies to support data use. To assess the results, a Performance of Routine Information System Management Assessment was conducted before and after the intervention using a combination of purposeful and random sampling. In 2008, the sample consisted of the central level, 12 districts, and 119 facilities, and in 2012, the sample consisted of the central level, 20 districts, and 190 health facilities. To assess data use, we developed dichotomous indicators: discussions of analysis findings, decisions taken based on the analysis, and decisions referred to upper management for action. We aggregated the indicators to generate a composite, continuous index of data use.
From 2008 to 2012, the district data-use score increased from 40 to 70%; the facility score remained the same - 38%. The central score is not reported, because of a methodological difference in the two assessments.
The intervention improved the use of data in decision making at the district level in Côte d'Ivoire. This study provides an example of, and guidance for, implementing a large-scale intervention to improve data-informed decision making. |
doi_str_mv | 10.3402/gha.v7.25035 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmed_primary_25280738</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_c0b0059dc9e041e6ab76cba055b6c6d0</doaj_id><sourcerecordid>3513393441</sourcerecordid><originalsourceid>FETCH-LOGICAL-c484t-6f7537240e8b916b3e999cf6c40736e46cbc3941c75cb48a3227e97d55828f4e3</originalsourceid><addsrcrecordid>eNp9kktvEzEQgFcIREvhxhmtxIEeSPD70QMSinhEKuICZ8vrnU0cdu3gfaD-r_4D_hjepK0oQpxsjz9_mvFMUTzHaEkZIm82W7uc5JJwRPmD4hQLzhZaKfTwdi-xOCme9P0OIUGlpI-LE8KJQpKq02L8HCcfNmVtB1vGpimHLZT9FtqmtKEufRhiad3gY7jIgfkMaYIwB8p85bt9ihMcni98aGLqoC5rcL6fic5-n-U-lKtf10PGXq2n6BM8LR41tu3h2c16Vnz78P7r6tPi8svH9erd5cIxxYaFaCSnkjAEqtJYVBS01q4RjuXkBTDhKkc1w05yVzFlKSEStKw5V0Q1DOhZsT5662h3Zp98Z9OVidabQyCmjbFp8K4F41CFENe104AYBmErmfUWcV4JJ2qUXW-Prv1Y5SJd_oRk23vS-zfBb80mToZhxTEVWXB-I0jxxwj9YDrfO2hbGyCOvcECaYxwrjyjL_9Cd3FMIX-VIQRzQjHLjfwPhQXRjFKldKZeHymXYt8naO5SxsjME2TyBJlJmsMEZfzFn2XewbcjkwF5BI7ttj9jamsz2Ks2pibZkFtv6D_VvwHm7NUs</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1629433889</pqid></control><display><type>article</type><title>Moving data off the shelf and into action: an intervention to improve data-informed decision making in Côte d'Ivoire</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Co-Action Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Access via Taylor & Francis (Open Access Collection)</source><source>PubMed Central</source><creator>Nutley, Tara ; Gnassou, Léontine ; Traore, Moussa ; Bosso, Abitche Edwige ; Mullen, Stephanie</creator><creatorcontrib>Nutley, Tara ; Gnassou, Léontine ; Traore, Moussa ; Bosso, Abitche Edwige ; Mullen, Stephanie</creatorcontrib><description>Improving a health system requires data, but too often they are unused or under-used by decision makers. Without interventions to improve the use of data in decision making, health systems cannot meet the needs of the populations they serve. In 2008, in Côte d'Ivoire, data were largely unused in health decision-making processes.
To implement and evaluate an intervention to improve the use of data in decision making in Cote d'Ivoire.
From 2008 to 2012, Cote d'Ivoire sought to improve the use of national health data through an intervention that broadens participation in and builds links between data collection and decision-making processes; identifies information needs; improves data quality; builds capacity to analyze, synthesize, and interpret data; and develops policies to support data use. To assess the results, a Performance of Routine Information System Management Assessment was conducted before and after the intervention using a combination of purposeful and random sampling. In 2008, the sample consisted of the central level, 12 districts, and 119 facilities, and in 2012, the sample consisted of the central level, 20 districts, and 190 health facilities. To assess data use, we developed dichotomous indicators: discussions of analysis findings, decisions taken based on the analysis, and decisions referred to upper management for action. We aggregated the indicators to generate a composite, continuous index of data use.
From 2008 to 2012, the district data-use score increased from 40 to 70%; the facility score remained the same - 38%. The central score is not reported, because of a methodological difference in the two assessments.
The intervention improved the use of data in decision making at the district level in Côte d'Ivoire. This study provides an example of, and guidance for, implementing a large-scale intervention to improve data-informed decision making.</description><identifier>ISSN: 1654-9716</identifier><identifier>EISSN: 1654-9880</identifier><identifier>DOI: 10.3402/gha.v7.25035</identifier><identifier>PMID: 25280738</identifier><language>eng</language><publisher>United States: Taylor & Francis</publisher><subject>Annual reports ; Cote d'Ivoire ; Data Collection - methods ; Data Collection - standards ; Data quality ; data use ; data-informed decision making ; Decision makers ; Decision Making ; district level ; Full text ; guidance ; Health care industry ; Health information ; Health Information Management - organization & administration ; Health Information Management - standards ; Health status ; HIV and AIDS ; Humans ; Information needs ; Information systems ; Information Systems - organization & administration ; Intervention ; Original ; Population ; Quality Improvement - organization & administration ; Random sampling ; routine health information systems</subject><ispartof>Global health action, 2014-01, Vol.7 (1), p.25035-25035</ispartof><rights>2014 Tara Nutley et al. 2014</rights><rights>Copyright Co-Action Publishing 2014</rights><rights>2014 Tara Nutley et al. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-6f7537240e8b916b3e999cf6c40736e46cbc3941c75cb48a3227e97d55828f4e3</citedby><cites>FETCH-LOGICAL-c484t-6f7537240e8b916b3e999cf6c40736e46cbc3941c75cb48a3227e97d55828f4e3</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/PMC4185136/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4185136/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,4139,27502,27924,27925,53791,53793,59143,59144</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25280738$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nutley, Tara</creatorcontrib><creatorcontrib>Gnassou, Léontine</creatorcontrib><creatorcontrib>Traore, Moussa</creatorcontrib><creatorcontrib>Bosso, Abitche Edwige</creatorcontrib><creatorcontrib>Mullen, Stephanie</creatorcontrib><title>Moving data off the shelf and into action: an intervention to improve data-informed decision making in Côte d'Ivoire</title><title>Global health action</title><addtitle>Glob Health Action</addtitle><description>Improving a health system requires data, but too often they are unused or under-used by decision makers. Without interventions to improve the use of data in decision making, health systems cannot meet the needs of the populations they serve. In 2008, in Côte d'Ivoire, data were largely unused in health decision-making processes.
To implement and evaluate an intervention to improve the use of data in decision making in Cote d'Ivoire.
From 2008 to 2012, Cote d'Ivoire sought to improve the use of national health data through an intervention that broadens participation in and builds links between data collection and decision-making processes; identifies information needs; improves data quality; builds capacity to analyze, synthesize, and interpret data; and develops policies to support data use. To assess the results, a Performance of Routine Information System Management Assessment was conducted before and after the intervention using a combination of purposeful and random sampling. In 2008, the sample consisted of the central level, 12 districts, and 119 facilities, and in 2012, the sample consisted of the central level, 20 districts, and 190 health facilities. To assess data use, we developed dichotomous indicators: discussions of analysis findings, decisions taken based on the analysis, and decisions referred to upper management for action. We aggregated the indicators to generate a composite, continuous index of data use.
From 2008 to 2012, the district data-use score increased from 40 to 70%; the facility score remained the same - 38%. The central score is not reported, because of a methodological difference in the two assessments.
The intervention improved the use of data in decision making at the district level in Côte d'Ivoire. This study provides an example of, and guidance for, implementing a large-scale intervention to improve data-informed decision making.</description><subject>Annual reports</subject><subject>Cote d'Ivoire</subject><subject>Data Collection - methods</subject><subject>Data Collection - standards</subject><subject>Data quality</subject><subject>data use</subject><subject>data-informed decision making</subject><subject>Decision makers</subject><subject>Decision Making</subject><subject>district level</subject><subject>Full text</subject><subject>guidance</subject><subject>Health care industry</subject><subject>Health information</subject><subject>Health Information Management - organization & administration</subject><subject>Health Information Management - standards</subject><subject>Health status</subject><subject>HIV and AIDS</subject><subject>Humans</subject><subject>Information needs</subject><subject>Information systems</subject><subject>Information Systems - organization & administration</subject><subject>Intervention</subject><subject>Original</subject><subject>Population</subject><subject>Quality Improvement - organization & administration</subject><subject>Random sampling</subject><subject>routine health information systems</subject><issn>1654-9716</issn><issn>1654-9880</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><sourceid>DOA</sourceid><recordid>eNp9kktvEzEQgFcIREvhxhmtxIEeSPD70QMSinhEKuICZ8vrnU0cdu3gfaD-r_4D_hjepK0oQpxsjz9_mvFMUTzHaEkZIm82W7uc5JJwRPmD4hQLzhZaKfTwdi-xOCme9P0OIUGlpI-LE8KJQpKq02L8HCcfNmVtB1vGpimHLZT9FtqmtKEufRhiad3gY7jIgfkMaYIwB8p85bt9ihMcni98aGLqoC5rcL6fic5-n-U-lKtf10PGXq2n6BM8LR41tu3h2c16Vnz78P7r6tPi8svH9erd5cIxxYaFaCSnkjAEqtJYVBS01q4RjuXkBTDhKkc1w05yVzFlKSEStKw5V0Q1DOhZsT5662h3Zp98Z9OVidabQyCmjbFp8K4F41CFENe104AYBmErmfUWcV4JJ2qUXW-Prv1Y5SJd_oRk23vS-zfBb80mToZhxTEVWXB-I0jxxwj9YDrfO2hbGyCOvcECaYxwrjyjL_9Cd3FMIX-VIQRzQjHLjfwPhQXRjFKldKZeHymXYt8naO5SxsjME2TyBJlJmsMEZfzFn2XewbcjkwF5BI7ttj9jamsz2Ks2pibZkFtv6D_VvwHm7NUs</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Nutley, Tara</creator><creator>Gnassou, Léontine</creator><creator>Traore, Moussa</creator><creator>Bosso, Abitche Edwige</creator><creator>Mullen, Stephanie</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Co-Action Publishing</general><general>Taylor & Francis Group</general><scope>0YH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8BJ</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>JBE</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140101</creationdate><title>Moving data off the shelf and into action: an intervention to improve data-informed decision making in Côte d'Ivoire</title><author>Nutley, Tara ; Gnassou, Léontine ; Traore, Moussa ; Bosso, Abitche Edwige ; Mullen, Stephanie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c484t-6f7537240e8b916b3e999cf6c40736e46cbc3941c75cb48a3227e97d55828f4e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Annual reports</topic><topic>Cote d'Ivoire</topic><topic>Data Collection - methods</topic><topic>Data Collection - standards</topic><topic>Data quality</topic><topic>data use</topic><topic>data-informed decision making</topic><topic>Decision makers</topic><topic>Decision Making</topic><topic>district level</topic><topic>Full text</topic><topic>guidance</topic><topic>Health care industry</topic><topic>Health information</topic><topic>Health Information Management - organization & administration</topic><topic>Health Information Management - standards</topic><topic>Health status</topic><topic>HIV and AIDS</topic><topic>Humans</topic><topic>Information needs</topic><topic>Information systems</topic><topic>Information Systems - organization & administration</topic><topic>Intervention</topic><topic>Original</topic><topic>Population</topic><topic>Quality Improvement - organization & administration</topic><topic>Random sampling</topic><topic>routine health information systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nutley, Tara</creatorcontrib><creatorcontrib>Gnassou, Léontine</creatorcontrib><creatorcontrib>Traore, Moussa</creatorcontrib><creatorcontrib>Bosso, Abitche Edwige</creatorcontrib><creatorcontrib>Mullen, Stephanie</creatorcontrib><collection>Access via Taylor & Francis (Open Access Collection)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Global health action</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nutley, Tara</au><au>Gnassou, Léontine</au><au>Traore, Moussa</au><au>Bosso, Abitche Edwige</au><au>Mullen, Stephanie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Moving data off the shelf and into action: an intervention to improve data-informed decision making in Côte d'Ivoire</atitle><jtitle>Global health action</jtitle><addtitle>Glob Health Action</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>7</volume><issue>1</issue><spage>25035</spage><epage>25035</epage><pages>25035-25035</pages><issn>1654-9716</issn><eissn>1654-9880</eissn><abstract>Improving a health system requires data, but too often they are unused or under-used by decision makers. Without interventions to improve the use of data in decision making, health systems cannot meet the needs of the populations they serve. In 2008, in Côte d'Ivoire, data were largely unused in health decision-making processes.
To implement and evaluate an intervention to improve the use of data in decision making in Cote d'Ivoire.
From 2008 to 2012, Cote d'Ivoire sought to improve the use of national health data through an intervention that broadens participation in and builds links between data collection and decision-making processes; identifies information needs; improves data quality; builds capacity to analyze, synthesize, and interpret data; and develops policies to support data use. To assess the results, a Performance of Routine Information System Management Assessment was conducted before and after the intervention using a combination of purposeful and random sampling. In 2008, the sample consisted of the central level, 12 districts, and 119 facilities, and in 2012, the sample consisted of the central level, 20 districts, and 190 health facilities. To assess data use, we developed dichotomous indicators: discussions of analysis findings, decisions taken based on the analysis, and decisions referred to upper management for action. We aggregated the indicators to generate a composite, continuous index of data use.
From 2008 to 2012, the district data-use score increased from 40 to 70%; the facility score remained the same - 38%. The central score is not reported, because of a methodological difference in the two assessments.
The intervention improved the use of data in decision making at the district level in Côte d'Ivoire. This study provides an example of, and guidance for, implementing a large-scale intervention to improve data-informed decision making.</abstract><cop>United States</cop><pub>Taylor & Francis</pub><pmid>25280738</pmid><doi>10.3402/gha.v7.25035</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1654-9716 |
ispartof | Global health action, 2014-01, Vol.7 (1), p.25035-25035 |
issn | 1654-9716 1654-9880 |
language | eng |
recordid | cdi_pubmed_primary_25280738 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Co-Action Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Access via Taylor & Francis (Open Access Collection); PubMed Central |
subjects | Annual reports Cote d'Ivoire Data Collection - methods Data Collection - standards Data quality data use data-informed decision making Decision makers Decision Making district level Full text guidance Health care industry Health information Health Information Management - organization & administration Health Information Management - standards Health status HIV and AIDS Humans Information needs Information systems Information Systems - organization & administration Intervention Original Population Quality Improvement - organization & administration Random sampling routine health information systems |
title | Moving data off the shelf and into action: an intervention to improve data-informed decision making in Côte d'Ivoire |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T12%3A46%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Moving%20data%20off%20the%20shelf%20and%20into%20action:%20an%20intervention%20to%20improve%20data-informed%20decision%20making%20in%20C%C3%B4te%20d'Ivoire&rft.jtitle=Global%20health%20action&rft.au=Nutley,%20Tara&rft.date=2014-01-01&rft.volume=7&rft.issue=1&rft.spage=25035&rft.epage=25035&rft.pages=25035-25035&rft.issn=1654-9716&rft.eissn=1654-9880&rft_id=info:doi/10.3402/gha.v7.25035&rft_dat=%3Cproquest_pubme%3E3513393441%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1629433889&rft_id=info:pmid/25280738&rft_doaj_id=oai_doaj_org_article_c0b0059dc9e041e6ab76cba055b6c6d0&rfr_iscdi=true |