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  1. Article ; Online: Examining the concept of equity in community psychology with natural language processing.

    Scaccia, Jonathan P

    Journal of community psychology

    2021  Volume 49, Issue 6, Page(s) 1718–1731

    Abstract: Large amounts of text-based data, like study abstracts, often go unanalyzed because the task is laborious. Natural language processing (NLP) uses computer-based algorithms not traditionally implemented in community psychology to effectively and ... ...

    Abstract Large amounts of text-based data, like study abstracts, often go unanalyzed because the task is laborious. Natural language processing (NLP) uses computer-based algorithms not traditionally implemented in community psychology to effectively and efficiently process text. These methods include examining the frequency of words and phrases, the clustering of topics, and the interrelationships of words. This article applied NLP to explore the concept of equity in community psychology. The COVID-19 crisis has made pre-existing health equity gaps even more salient. Community psychology has a specific interest in working with organizations, systems, and communities to address social determinants that perpetuate inequities by refocusing interventions around achieving health and wellness for all. This article examines how community psychology has discussed equity thus far to identify strengths and gaps for future research and practice. The results showed the prominence of community-based participatory research and the diversity of settings researchers work in. However, the total number of abstracts with equity concepts was lower than expected, which suggests there is a need for a continued focus on equity.
    MeSH term(s) Community Psychiatry/methods ; Community-Based Participatory Research/methods ; Health Equity/statistics & numerical data ; Humans ; Knowledge Discovery/methods ; Natural Language Processing ; Periodicals as Topic ; Social Determinants of Health/statistics & numerical data
    Language English
    Publishing date 2021-05-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491194-2
    ISSN 1520-6629 ; 0090-4392
    ISSN (online) 1520-6629
    ISSN 0090-4392
    DOI 10.1002/jcop.22603
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Analyzing Twitter for Community-Level Public Health Messaging.

    Mayberry, Kalie M / Scaccia, Jonathan P / Mitsdarffer, Mary Louise

    Journal of public health management and practice : JPHMP

    2023  Volume 29, Issue 2, Page(s) 174–177

    Abstract: Funded in 2021 by the Centers for Disease Control and Prevention, Communities RISE Together (RISE) aims to increase the reach and effectiveness of messages to address vaccine hesitancy to further health equity. Twitter is a predominant social media ... ...

    Abstract Funded in 2021 by the Centers for Disease Control and Prevention, Communities RISE Together (RISE) aims to increase the reach and effectiveness of messages to address vaccine hesitancy to further health equity. Twitter is a predominant social media source used by communities to share messaging and factual local information with constituents. We looked at the Twitter accounts of the organizations in 10 regional communities to examine social media communication patterns to guide how to increase messaging engagement. Specifically, we focused on Twitter post content, likes, and retweets. Our findings identified certain words-such as "food," "older adults," "equity," and "covid"-that were most associated with increased likes and retweets on the platform. However, the strongest predictor of receiving likes and retweets is the number of followers. Sentiment was a significant, but not meaningful, predictor of tweet engagement.
    MeSH term(s) Humans ; Aged ; Social Media ; Public Health ; Communication
    Language English
    Publishing date 2023-01-13
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 2027860-3
    ISSN 1550-5022 ; 1078-4659
    ISSN (online) 1550-5022
    ISSN 1078-4659
    DOI 10.1097/PHH.0000000000001677
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5302: Show issues Location:
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  3. Article ; Online: 5335 days of Implementation Science: using natural language processing to examine publication trends and topics.

    Scaccia, Jonathan P / Scott, Victoria C

    Implementation science : IS

    2021  Volume 16, Issue 1, Page(s) 47

    Abstract: Introduction: Moving evidence-based practices into the hands of practitioners requires the synthesis and translation of research literature. However, the growing pace of scientific publications across disciplines makes it increasingly difficult to stay ... ...

    Abstract Introduction: Moving evidence-based practices into the hands of practitioners requires the synthesis and translation of research literature. However, the growing pace of scientific publications across disciplines makes it increasingly difficult to stay abreast of research literature. Natural language processing (NLP) methods are emerging as a valuable strategy for conducting content analyses of academic literature. We sought to apply NLP to identify publication trends in the journal Implementation Science, including key topic clusters and the distribution of topics over time. A parallel study objective was to demonstrate how NLP can be used in research synthesis.
    Methods: We examined 1711 Implementation Science abstracts published from February 22, 2006, to October 1, 2020. We retrieved the study data using PubMed's Application Programming Interface (API) to assemble a database. Following standard preprocessing steps, we use topic modeling with Latent Dirichlet allocation (LDA) to cluster the abstracts following a minimization algorithm.
    Results: We examined 30 topics and computed topic model statistics of quality. Analyses revealed that published articles largely reflect (i) characteristics of research, or (ii) domains of practice. Emergent topic clusters encompassed key terms both salient and common to implementation science. HIV and stroke represent the most commonly published clinical areas. Systematic reviews have grown in topic prominence and coherence, whereas articles pertaining to knowledge translation (KT) have dropped in prominence since 2013. Articles on HIV and implementation effectiveness have increased in topic exclusivity over time.
    Discussion: We demonstrated how NLP can be used as a synthesis and translation method to identify trends and topics across a large number of (over 1700) articles. With applicability to a variety of research domains, NLP is a promising approach to accelerate the dissemination and uptake of research literature. For future research in implementation science, we encourage the inclusion of more equity-focused studies to expand the impact of implementation science on disadvantaged communities.
    MeSH term(s) Bibliometrics ; Humans ; Implementation Science ; Natural Language Processing ; Research Design ; Translational Research, Biomedical
    Language English
    Publishing date 2021-04-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2225822-X
    ISSN 1748-5908 ; 1748-5908
    ISSN (online) 1748-5908
    ISSN 1748-5908
    DOI 10.1186/s13012-021-01120-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: The Moderating Effect of Vaccine Hesitancy on the Relationship between the COVID-19 Vaccine Coverage Index and Vaccine Coverage.

    Tolley, Annalise Julia / Scott, Victoria C / Mitsdarffer, Mary Louise / Scaccia, Jonathan P

    Vaccines

    2023  Volume 11, Issue 7

    Abstract: To examine COVID-19 vaccination barriers in the US, this study drew on publicly available county-level data (n = 3130) to investigate the impact of vaccine hesitancy on the relationship between county-level social/structural barriers and vaccine coverage. ...

    Abstract To examine COVID-19 vaccination barriers in the US, this study drew on publicly available county-level data (n = 3130) to investigate the impact of vaccine hesitancy on the relationship between county-level social/structural barriers and vaccine coverage. A hierarchical regression was performed to establish the relationship between the COVID-19 Vaccine Coverage Index (CVAC) and vaccine coverage, assess the moderating effect of vaccine hesitancy on this relationship, and explore the influence of ethno-racial composition on vaccine coverage. A significant, negative relationship (r
    Language English
    Publishing date 2023-07-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2703319-3
    ISSN 2076-393X
    ISSN 2076-393X
    DOI 10.3390/vaccines11071231
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: 5335 days of Implementation Science

    Jonathan P. Scaccia / Victoria C. Scott

    Implementation Science, Vol 16, Iss 1, Pp 1-

    using natural language processing to examine publication trends and topics

    2021  Volume 12

    Abstract: Abstract Introduction Moving evidence-based practices into the hands of practitioners requires the synthesis and translation of research literature. However, the growing pace of scientific publications across disciplines makes it increasingly difficult ... ...

    Abstract Abstract Introduction Moving evidence-based practices into the hands of practitioners requires the synthesis and translation of research literature. However, the growing pace of scientific publications across disciplines makes it increasingly difficult to stay abreast of research literature. Natural language processing (NLP) methods are emerging as a valuable strategy for conducting content analyses of academic literature. We sought to apply NLP to identify publication trends in the journal Implementation Science, including key topic clusters and the distribution of topics over time. A parallel study objective was to demonstrate how NLP can be used in research synthesis. Methods We examined 1711 Implementation Science abstracts published from February 22, 2006, to October 1, 2020. We retrieved the study data using PubMed’s Application Programming Interface (API) to assemble a database. Following standard preprocessing steps, we use topic modeling with Latent Dirichlet allocation (LDA) to cluster the abstracts following a minimization algorithm. Results We examined 30 topics and computed topic model statistics of quality. Analyses revealed that published articles largely reflect (i) characteristics of research, or (ii) domains of practice. Emergent topic clusters encompassed key terms both salient and common to implementation science. HIV and stroke represent the most commonly published clinical areas. Systematic reviews have grown in topic prominence and coherence, whereas articles pertaining to knowledge translation (KT) have dropped in prominence since 2013. Articles on HIV and implementation effectiveness have increased in topic exclusivity over time. Discussion We demonstrated how NLP can be used as a synthesis and translation method to identify trends and topics across a large number of (over 1700) articles. With applicability to a variety of research domains, NLP is a promising approach to accelerate the dissemination and uptake of research literature. For future research in implementation science, we ...
    Keywords Implementation science ; Natural language processing ; Synthesis and translation ; Bibliometric study ; Systematic review ; Medicine (General) ; R5-920
    Subject code 001
    Language English
    Publishing date 2021-04-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: A practical implementation science heuristic for organizational readiness: R = MC

    Scaccia, Jonathan P / Cook, Brittany S / Lamont, Andrea / Wandersman, Abraham / Castellow, Jennifer / Katz, Jason / Beidas, Rinad S

    Journal of community psychology

    2015  Volume 43, Issue 4, Page(s) 484–501

    Abstract: There are many challenges when an innovation (i.e., a program, process, or policy that is new to an organization) is actively introduced into an organization. One critical component for successful implementation is the organization's readiness for the ... ...

    Abstract There are many challenges when an innovation (i.e., a program, process, or policy that is new to an organization) is actively introduced into an organization. One critical component for successful implementation is the organization's readiness for the innovation. In this article, we propose a practical implementation science heuristic, abbreviated as
    Language English
    Publishing date 2015-04-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491194-2
    ISSN 1520-6629 ; 0090-4392
    ISSN (online) 1520-6629
    ISSN 0090-4392
    DOI 10.1002/jcop.21698
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Practical implementation science: developing and piloting the quality implementation tool.

    Meyers, Duncan C / Katz, Jason / Chien, Victoria / Wandersman, Abraham / Scaccia, Jonathan P / Wright, Annie

    American journal of community psychology

    2012  Volume 50, Issue 3-4, Page(s) 481–496

    Abstract: According to the Interactive Systems Framework for Dissemination and Implementation, implementation is a major mechanism and concern in bridging research and practice. The growing number of implementation frameworks need to be synthesized and translated ... ...

    Abstract According to the Interactive Systems Framework for Dissemination and Implementation, implementation is a major mechanism and concern in bridging research and practice. The growing number of implementation frameworks need to be synthesized and translated so that the science and practice of quality implementation can be furthered. In this article, we: (1) use the synthesis of frameworks developed by Meyers et al. (Am J Commun Psychol, 2012) and translate the results into a practical implementation science tool to use for improving quality of implementation (i.e., the Quality Implementation Tool; QIT), and (2) present some of the benefits and limitations of the tool by describing how the QIT was implemented in two different pilot projects. We discuss how the QIT can be used to guide collaborative planning, monitoring, and evaluation of how an innovation is implemented.
    MeSH term(s) Humans ; Models, Organizational ; Outcome and Process Assessment (Health Care)/methods ; Pilot Projects ; Program Development/methods ; Quality Assurance, Health Care
    Language English
    Publishing date 2012-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 222658-3
    ISSN 1573-2770 ; 0091-0562
    ISSN (online) 1573-2770
    ISSN 0091-0562
    DOI 10.1007/s10464-012-9521-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1176: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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