Why Research From Lower- and Middle-Income Countries Matters to Evidence-Based Intervention: A State of the Science Review of ACT Research as an Example
•ACT RCTs in LMIC journals show the importance of focusing on LMIC research.•Machine learning analysis of abstracts showed diverse topics from different countries.•Research in LMICs is often nonindexed, leading to lower citations.•Ignoring non-indexed LMIC studies distorts evidence-based interventio...
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Veröffentlicht in: | Behavior therapy 2024-11, Vol.55 (6), p.1348-1363 |
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creator | Sahdra, Baljinder K. King, Grant Payne, Jennifer S. Ruiz, Francisco J. Ali Kolahdouzan, Seyed Ciarrochi, Joseph Hayes, Steven C. |
description | •ACT RCTs in LMIC journals show the importance of focusing on LMIC research.•Machine learning analysis of abstracts showed diverse topics from different countries.•Research in LMICs is often nonindexed, leading to lower citations.•Ignoring non-indexed LMIC studies distorts evidence-based intervention.•Affirmative action needed from psychology professional associations and journal editors.
Despite the global nature of psychological issues, an overwhelming majority of research originates from a small segment of the world’s population living in high-income countries (HICs). This disparity risks distorting our understanding of psychological phenomena by underrepresenting the cultural and contextual diversity of human experience. Research from lower- and middle-income countries (LMIC) is also less frequently cited, both because it is seemingly viewed as a “special case” and because it is less well known due to language differences and biases in indexing algorithms. Acknowledging and actively addressing this imbalance is crucial for a more inclusive, diverse, and effective science of evidence-based intervention. In this state-of-the-science review, we used a machine learning method to identify key topics in LMIC research on Acceptance and Commitment Therapy (ACT), choosing ACT due to the significant body of work from LMICs. We also examined one indication of study quality (study size), and overall citations. Research in LMICs was often nonindexed, leading to lower citations, but study size could not explain a lack of indexing. Many objectively identified topics in ACT research became invisible when LMIC research was ignored. Specific countries exhibited potentially important differences in the topics. We conclude that strong and affirmative actions are needed by scientific associations and others to ensure that research from LMICs is conducted, known, indexed, and used by CBT researchers and others interested in evidence-based intervention science. |
doi_str_mv | 10.1016/j.beth.2024.06.003 |
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Despite the global nature of psychological issues, an overwhelming majority of research originates from a small segment of the world’s population living in high-income countries (HICs). This disparity risks distorting our understanding of psychological phenomena by underrepresenting the cultural and contextual diversity of human experience. Research from lower- and middle-income countries (LMIC) is also less frequently cited, both because it is seemingly viewed as a “special case” and because it is less well known due to language differences and biases in indexing algorithms. Acknowledging and actively addressing this imbalance is crucial for a more inclusive, diverse, and effective science of evidence-based intervention. In this state-of-the-science review, we used a machine learning method to identify key topics in LMIC research on Acceptance and Commitment Therapy (ACT), choosing ACT due to the significant body of work from LMICs. We also examined one indication of study quality (study size), and overall citations. Research in LMICs was often nonindexed, leading to lower citations, but study size could not explain a lack of indexing. Many objectively identified topics in ACT research became invisible when LMIC research was ignored. Specific countries exhibited potentially important differences in the topics. We conclude that strong and affirmative actions are needed by scientific associations and others to ensure that research from LMICs is conducted, known, indexed, and used by CBT researchers and others interested in evidence-based intervention science.</description><identifier>ISSN: 0005-7894</identifier><identifier>ISSN: 1878-1888</identifier><identifier>EISSN: 1878-1888</identifier><identifier>DOI: 10.1016/j.beth.2024.06.003</identifier><identifier>PMID: 39443070</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>acceptance and commitment therapy ; Developing Countries ; Evidence-Based Practice ; Humans ; inequity ; journal indexing ; lower- and middle-income countries ; Machine Learning ; topic modeling</subject><ispartof>Behavior therapy, 2024-11, Vol.55 (6), p.1348-1363</ispartof><rights>2024 Association for Behavioral and Cognitive Therapies</rights><rights>Copyright © 2024 Association for Behavioral and Cognitive Therapies. Published by Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c281t-d02f5e017d15b68f40c67e4795644313ae872d213bc0edecd802496717e7043d3</cites><orcidid>0000-0001-5064-7783</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0005789424000960$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39443070$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sahdra, Baljinder K.</creatorcontrib><creatorcontrib>King, Grant</creatorcontrib><creatorcontrib>Payne, Jennifer S.</creatorcontrib><creatorcontrib>Ruiz, Francisco J.</creatorcontrib><creatorcontrib>Ali Kolahdouzan, Seyed</creatorcontrib><creatorcontrib>Ciarrochi, Joseph</creatorcontrib><creatorcontrib>Hayes, Steven C.</creatorcontrib><title>Why Research From Lower- and Middle-Income Countries Matters to Evidence-Based Intervention: A State of the Science Review of ACT Research as an Example</title><title>Behavior therapy</title><addtitle>Behav Ther</addtitle><description>•ACT RCTs in LMIC journals show the importance of focusing on LMIC research.•Machine learning analysis of abstracts showed diverse topics from different countries.•Research in LMICs is often nonindexed, leading to lower citations.•Ignoring non-indexed LMIC studies distorts evidence-based intervention.•Affirmative action needed from psychology professional associations and journal editors.
Despite the global nature of psychological issues, an overwhelming majority of research originates from a small segment of the world’s population living in high-income countries (HICs). This disparity risks distorting our understanding of psychological phenomena by underrepresenting the cultural and contextual diversity of human experience. Research from lower- and middle-income countries (LMIC) is also less frequently cited, both because it is seemingly viewed as a “special case” and because it is less well known due to language differences and biases in indexing algorithms. Acknowledging and actively addressing this imbalance is crucial for a more inclusive, diverse, and effective science of evidence-based intervention. In this state-of-the-science review, we used a machine learning method to identify key topics in LMIC research on Acceptance and Commitment Therapy (ACT), choosing ACT due to the significant body of work from LMICs. We also examined one indication of study quality (study size), and overall citations. Research in LMICs was often nonindexed, leading to lower citations, but study size could not explain a lack of indexing. Many objectively identified topics in ACT research became invisible when LMIC research was ignored. Specific countries exhibited potentially important differences in the topics. 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Despite the global nature of psychological issues, an overwhelming majority of research originates from a small segment of the world’s population living in high-income countries (HICs). This disparity risks distorting our understanding of psychological phenomena by underrepresenting the cultural and contextual diversity of human experience. Research from lower- and middle-income countries (LMIC) is also less frequently cited, both because it is seemingly viewed as a “special case” and because it is less well known due to language differences and biases in indexing algorithms. Acknowledging and actively addressing this imbalance is crucial for a more inclusive, diverse, and effective science of evidence-based intervention. In this state-of-the-science review, we used a machine learning method to identify key topics in LMIC research on Acceptance and Commitment Therapy (ACT), choosing ACT due to the significant body of work from LMICs. We also examined one indication of study quality (study size), and overall citations. Research in LMICs was often nonindexed, leading to lower citations, but study size could not explain a lack of indexing. Many objectively identified topics in ACT research became invisible when LMIC research was ignored. Specific countries exhibited potentially important differences in the topics. We conclude that strong and affirmative actions are needed by scientific associations and others to ensure that research from LMICs is conducted, known, indexed, and used by CBT researchers and others interested in evidence-based intervention science.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>39443070</pmid><doi>10.1016/j.beth.2024.06.003</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0001-5064-7783</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | acceptance and commitment therapy Developing Countries Evidence-Based Practice Humans inequity journal indexing lower- and middle-income countries Machine Learning topic modeling |
title | Why Research From Lower- and Middle-Income Countries Matters to Evidence-Based Intervention: A State of the Science Review of ACT Research as an Example |
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