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The role of intervention mapping in designing disease prevention interventions: A systematic review of the literature
To assess the role of Intervention Mapping (IM) in designing disease prevention interventions worldwide. Systematic search and review of the relevant literature-peer-reviewed and grey-was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Only...
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Published in: | PloS one 2017-03, Vol.12 (3), p.e0174438-e0174438 |
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description | To assess the role of Intervention Mapping (IM) in designing disease prevention interventions worldwide.
Systematic search and review of the relevant literature-peer-reviewed and grey-was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines.
Only five of the twenty two included studies reviewed were RCTs that compared intervention using IM protocol with placebo intervention, and provided the outcomes in terms of percentage increase in the uptake of disease-prevention programmes, and only one of the five studies provided an effect measure in the form of relative risk (RR = 1.59, 95% CI = 1.08-2.34, p = 0.02). Of the five RCTs, three were rated as strong evidences, one as a medium evidence and one as a weak evidence, and they all reported statistically significant difference between the two study groups, with disease prevention interventions that have used the intervention mapping approach generally reported significant increases in the uptake of disease-prevention interventions, ranging from 9% to 28.5% (0.0001 ≤ p ≤ 0.02), On the other hand, all the 22 studies have successfully identified the determinants of the uptake of disease prevention interventions that is essential to the success of disease prevention programmes.
Intervention Mapping has been successfully used to plan, implement and evaluate interventions that showed significant increase in uptake of disease prevention programmes. This study has provided a good understanding of the role of intervention mapping in designing disease prevention interventions, and a good foundation upon which subsequent reviews can be guided. |
doi_str_mv | 10.1371/journal.pone.0174438 |
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Systematic search and review of the relevant literature-peer-reviewed and grey-was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines.
Only five of the twenty two included studies reviewed were RCTs that compared intervention using IM protocol with placebo intervention, and provided the outcomes in terms of percentage increase in the uptake of disease-prevention programmes, and only one of the five studies provided an effect measure in the form of relative risk (RR = 1.59, 95% CI = 1.08-2.34, p = 0.02). Of the five RCTs, three were rated as strong evidences, one as a medium evidence and one as a weak evidence, and they all reported statistically significant difference between the two study groups, with disease prevention interventions that have used the intervention mapping approach generally reported significant increases in the uptake of disease-prevention interventions, ranging from 9% to 28.5% (0.0001 ≤ p ≤ 0.02), On the other hand, all the 22 studies have successfully identified the determinants of the uptake of disease prevention interventions that is essential to the success of disease prevention programmes.
Intervention Mapping has been successfully used to plan, implement and evaluate interventions that showed significant increase in uptake of disease prevention programmes. This study has provided a good understanding of the role of intervention mapping in designing disease prevention interventions, and a good foundation upon which subsequent reviews can be guided.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0174438</identifier><identifier>PMID: 28358821</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject><![CDATA[Acquired immune deficiency syndrome ; Adenomatous polyposis coli ; AIDS ; Analysis ; Bacteria ; Behavior ; Breast cancer ; Breast Neoplasms - prevention & control ; Cancer ; Candidiasis, Oral - prevention & control ; Cervical cancer ; Colleges & universities ; Communities ; Confidence intervals ; Conveying ; Criteria ; Data processing ; Decision making ; Developing countries ; Disease prevention ; Drug abuse ; Education ; Environmental conditions ; Environmental factors ; Evaluation ; Female ; Focus groups ; Format ; Health care ; Health promotion ; Health risks ; Hepatitis ; Hepatitis - prevention & control ; Hepatitis B ; HIV ; HIV Infections - prevention & control ; Human immunodeficiency virus ; Humans ; Influenza ; Influenza, Human - prevention & control ; Intervention ; LDCs ; Learning theory ; Literature reviews ; Male ; Mapping ; Matrices (mathematics) ; Medical personnel ; Medical screening ; Medicine ; Medicine and Health Sciences ; Mens health ; Methods ; Models, Theoretical ; Nursing ; Objectives ; Populations ; Prevention ; Preventive medicine ; Programmers ; Protocol ; Protocol (computers) ; Psychology ; Public health ; Randomized Controlled Trials as Topic ; Risk assessment ; Risk groups ; Science ; Sexuality ; Sexually transmitted diseases ; Social discrimination learning ; Social Sciences ; STD ; Stroke ; Sustainability ; Systematic review ; Teaching hospitals ; Uterine Cervical Neoplasms - prevention & control ; Womens health ; World Wide Web]]></subject><ispartof>PloS one, 2017-03, Vol.12 (3), p.e0174438-e0174438</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Garba, Gadanya. 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>2017 Garba, Gadanya 2017 Garba, Gadanya</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-bdff03e9eb8726127ad3e4d924139c8bdd502989d45d8223053b39bcc4916d2c3</citedby><cites>FETCH-LOGICAL-c692t-bdff03e9eb8726127ad3e4d924139c8bdd502989d45d8223053b39bcc4916d2c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1882475737/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1882475737?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25751,27922,27923,37010,37011,44588,53789,53791,74896</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28358821$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bhutta, Zulfiqar A.</contributor><creatorcontrib>Garba, Rayyan M</creatorcontrib><creatorcontrib>Gadanya, Muktar A</creatorcontrib><title>The role of intervention mapping in designing disease prevention interventions: A systematic review of the literature</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To assess the role of Intervention Mapping (IM) in designing disease prevention interventions worldwide.
Systematic search and review of the relevant literature-peer-reviewed and grey-was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines.
Only five of the twenty two included studies reviewed were RCTs that compared intervention using IM protocol with placebo intervention, and provided the outcomes in terms of percentage increase in the uptake of disease-prevention programmes, and only one of the five studies provided an effect measure in the form of relative risk (RR = 1.59, 95% CI = 1.08-2.34, p = 0.02). Of the five RCTs, three were rated as strong evidences, one as a medium evidence and one as a weak evidence, and they all reported statistically significant difference between the two study groups, with disease prevention interventions that have used the intervention mapping approach generally reported significant increases in the uptake of disease-prevention interventions, ranging from 9% to 28.5% (0.0001 ≤ p ≤ 0.02), On the other hand, all the 22 studies have successfully identified the determinants of the uptake of disease prevention interventions that is essential to the success of disease prevention programmes.
Intervention Mapping has been successfully used to plan, implement and evaluate interventions that showed significant increase in uptake of disease prevention programmes. This study has provided a good understanding of the role of intervention mapping in designing disease prevention interventions, and a good foundation upon which subsequent reviews can be guided.</description><subject>Acquired immune deficiency syndrome</subject><subject>Adenomatous polyposis coli</subject><subject>AIDS</subject><subject>Analysis</subject><subject>Bacteria</subject><subject>Behavior</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - prevention & control</subject><subject>Cancer</subject><subject>Candidiasis, Oral - prevention & control</subject><subject>Cervical cancer</subject><subject>Colleges & universities</subject><subject>Communities</subject><subject>Confidence intervals</subject><subject>Conveying</subject><subject>Criteria</subject><subject>Data processing</subject><subject>Decision making</subject><subject>Developing countries</subject><subject>Disease prevention</subject><subject>Drug abuse</subject><subject>Education</subject><subject>Environmental conditions</subject><subject>Environmental factors</subject><subject>Evaluation</subject><subject>Female</subject><subject>Focus groups</subject><subject>Format</subject><subject>Health care</subject><subject>Health promotion</subject><subject>Health risks</subject><subject>Hepatitis</subject><subject>Hepatitis - prevention & control</subject><subject>Hepatitis B</subject><subject>HIV</subject><subject>HIV Infections - prevention & control</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Influenza</subject><subject>Influenza, Human - prevention & control</subject><subject>Intervention</subject><subject>LDCs</subject><subject>Learning theory</subject><subject>Literature reviews</subject><subject>Male</subject><subject>Mapping</subject><subject>Matrices (mathematics)</subject><subject>Medical personnel</subject><subject>Medical screening</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Mens health</subject><subject>Methods</subject><subject>Models, Theoretical</subject><subject>Nursing</subject><subject>Objectives</subject><subject>Populations</subject><subject>Prevention</subject><subject>Preventive medicine</subject><subject>Programmers</subject><subject>Protocol</subject><subject>Protocol (computers)</subject><subject>Psychology</subject><subject>Public health</subject><subject>Randomized Controlled Trials as Topic</subject><subject>Risk assessment</subject><subject>Risk groups</subject><subject>Science</subject><subject>Sexuality</subject><subject>Sexually transmitted diseases</subject><subject>Social discrimination learning</subject><subject>Social Sciences</subject><subject>STD</subject><subject>Stroke</subject><subject>Sustainability</subject><subject>Systematic review</subject><subject>Teaching hospitals</subject><subject>Uterine Cervical Neoplasms - 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prevention & control</topic><topic>Cancer</topic><topic>Candidiasis, Oral - prevention & control</topic><topic>Cervical cancer</topic><topic>Colleges & universities</topic><topic>Communities</topic><topic>Confidence intervals</topic><topic>Conveying</topic><topic>Criteria</topic><topic>Data processing</topic><topic>Decision making</topic><topic>Developing countries</topic><topic>Disease prevention</topic><topic>Drug abuse</topic><topic>Education</topic><topic>Environmental conditions</topic><topic>Environmental factors</topic><topic>Evaluation</topic><topic>Female</topic><topic>Focus groups</topic><topic>Format</topic><topic>Health care</topic><topic>Health promotion</topic><topic>Health risks</topic><topic>Hepatitis</topic><topic>Hepatitis - prevention & control</topic><topic>Hepatitis B</topic><topic>HIV</topic><topic>HIV Infections - prevention & control</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Influenza</topic><topic>Influenza, Human - prevention & control</topic><topic>Intervention</topic><topic>LDCs</topic><topic>Learning theory</topic><topic>Literature reviews</topic><topic>Male</topic><topic>Mapping</topic><topic>Matrices (mathematics)</topic><topic>Medical personnel</topic><topic>Medical screening</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Mens health</topic><topic>Methods</topic><topic>Models, Theoretical</topic><topic>Nursing</topic><topic>Objectives</topic><topic>Populations</topic><topic>Prevention</topic><topic>Preventive medicine</topic><topic>Programmers</topic><topic>Protocol</topic><topic>Protocol (computers)</topic><topic>Psychology</topic><topic>Public health</topic><topic>Randomized Controlled Trials as Topic</topic><topic>Risk assessment</topic><topic>Risk groups</topic><topic>Science</topic><topic>Sexuality</topic><topic>Sexually transmitted diseases</topic><topic>Social discrimination learning</topic><topic>Social Sciences</topic><topic>STD</topic><topic>Stroke</topic><topic>Sustainability</topic><topic>Systematic review</topic><topic>Teaching hospitals</topic><topic>Uterine Cervical Neoplasms - 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Systematic search and review of the relevant literature-peer-reviewed and grey-was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines.
Only five of the twenty two included studies reviewed were RCTs that compared intervention using IM protocol with placebo intervention, and provided the outcomes in terms of percentage increase in the uptake of disease-prevention programmes, and only one of the five studies provided an effect measure in the form of relative risk (RR = 1.59, 95% CI = 1.08-2.34, p = 0.02). Of the five RCTs, three were rated as strong evidences, one as a medium evidence and one as a weak evidence, and they all reported statistically significant difference between the two study groups, with disease prevention interventions that have used the intervention mapping approach generally reported significant increases in the uptake of disease-prevention interventions, ranging from 9% to 28.5% (0.0001 ≤ p ≤ 0.02), On the other hand, all the 22 studies have successfully identified the determinants of the uptake of disease prevention interventions that is essential to the success of disease prevention programmes.
Intervention Mapping has been successfully used to plan, implement and evaluate interventions that showed significant increase in uptake of disease prevention programmes. This study has provided a good understanding of the role of intervention mapping in designing disease prevention interventions, and a good foundation upon which subsequent reviews can be guided.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28358821</pmid><doi>10.1371/journal.pone.0174438</doi><tpages>e0174438</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Acquired immune deficiency syndrome Adenomatous polyposis coli AIDS Analysis Bacteria Behavior Breast cancer Breast Neoplasms - prevention & control Cancer Candidiasis, Oral - prevention & control Cervical cancer Colleges & universities Communities Confidence intervals Conveying Criteria Data processing Decision making Developing countries Disease prevention Drug abuse Education Environmental conditions Environmental factors Evaluation Female Focus groups Format Health care Health promotion Health risks Hepatitis Hepatitis - prevention & control Hepatitis B HIV HIV Infections - prevention & control Human immunodeficiency virus Humans Influenza Influenza, Human - prevention & control Intervention LDCs Learning theory Literature reviews Male Mapping Matrices (mathematics) Medical personnel Medical screening Medicine Medicine and Health Sciences Mens health Methods Models, Theoretical Nursing Objectives Populations Prevention Preventive medicine Programmers Protocol Protocol (computers) Psychology Public health Randomized Controlled Trials as Topic Risk assessment Risk groups Science Sexuality Sexually transmitted diseases Social discrimination learning Social Sciences STD Stroke Sustainability Systematic review Teaching hospitals Uterine Cervical Neoplasms - prevention & control Womens health World Wide Web |
title | The role of intervention mapping in designing disease prevention interventions: A systematic review of the literature |
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