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      Intersectoral Collaboration to Promote Child Development: The Contributions of the Actor-Network Theory

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          Abstract

          An integrated intersectoral care model promises to meet complex needs to promote early child development and address health determinants and inequities. Nevertheless, there is a lack of understanding of actors’ interactions in producing intersectoral collaboration networks. The present study aimed to analyze the intersectoral collaboration in the social protection network involved in promoting early child growth and development in Brazilian municipalities. Underpinned by the tenets of actor-network theory, a case study was conducted with data produced from an educational intervention, entitled “Projeto Nascente.” Through document analysis (ecomaps), participant observation (in Projeto Nascente seminars), and interviews (with municipal management representatives), our study explored and captured links among actors; controversies and resolution mechanisms; the presence of mediators and intermediaries; and an alignment of actors, resources, and support. The qualitative analysis of these materials identified three main themes: (1) agency fragility for intersectoral collaboration, (2) attempt to form networks, and (3) incorporation of fields of possibilities. Our findings revealed that intersectoral collaboration for promoting child growth and development is virtually non-existent or fragile, and local potential is missed or underused. These results emphasized the scarcity of action by mediators and intermediaries to promote enrollment processes to intersectoral collaboration. Likewise, existing controversies were not used as a mechanism for triggering changes. Our research supports the need to mobilize actors, resources, management, and communication tools that promote processes of interessement and enrollment in favor of intersectoral collaboration policies and practices for child development.

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          Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness.

          Qualitative content analysis as described in published literature shows conflicting opinions and unsolved issues regarding meaning and use of concepts, procedures and interpretation. This paper provides an overview of important concepts (manifest and latent content, unit of analysis, meaning unit, condensation, abstraction, content area, code, category and theme) related to qualitative content analysis; illustrates the use of concepts related to the research procedure; and proposes measures to achieve trustworthiness (credibility, dependability and transferability) throughout the steps of the research procedure. Interpretation in qualitative content analysis is discussed in light of Watzlawick et al.'s [Pragmatics of Human Communication. A Study of Interactional Patterns, Pathologies and Paradoxes. W.W. Norton & Company, New York, London] theory of communication.
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            Document Analysis as a Qualitative Research Method

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              Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis

              Abstract In the course of our supervisory work over the years, we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. The second article focused on context, research questions and designs, and referred to publications for further reading. This third article addresses FAQs about sampling, data collection and analysis. The data collection plan needs to be broadly defined and open at first, and become flexible during data collection. Sampling strategies should be chosen in such a way that they yield rich information and are consistent with the methodological approach used. Data saturation determines sample size and will be different for each study. The most commonly used data collection methods are participant observation, face-to-face in-depth interviews and focus group discussions. Analyses in ethnographic, phenomenological, grounded theory, and content analysis studies yield different narrative findings: a detailed description of a culture, the essence of the lived experience, a theory, and a descriptive summary, respectively. The fourth and final article will focus on trustworthiness and publishing qualitative research.
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                Author and article information

                Journal
                Qual Health Res
                Qual Health Res
                spqhr
                QHR
                Qualitative Health Research
                SAGE Publications (Sage CA: Los Angeles, CA )
                1049-7323
                1552-7557
                3 April 2023
                April 2023
                : 33
                : 5
                : 451-467
                Affiliations
                [1 ]Ringgold 28114, universityUniversidade Federal de Minas Gerais; , Belo Horizonte, Brazil
                [2 ]Ringgold 28116, universityUniversidade Federal de Pernambuco; , Recife, Brazil
                Author notes
                [*]Antônio Paulo Gomes Chiari, Department of Social and Preventive Dentistry, Universidade Federal de Minas Gerais, Av. Presidente Antônio Carlos, 6627, Belo Horizonte 31270-901, Brazil. Email: apgchiari@ 123456gmail.com
                Author information
                https://orcid.org/0000-0002-4104-9164
                https://orcid.org/0000-0002-0885-1729
                Article
                10.1177_10497323231153534
                10.1177/10497323231153534
                10126467
                37010148
                0dbf5dba-f76f-41cc-bd93-361b05a709f9
                © The Author(s) 2023

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                Funding
                Funded by: Ministério da Saúde, FundRef https://doi.org/10.13039/501100006506;
                Award ID: TED MS/FNS nº 62/2017
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, FundRef https://doi.org/10.13039/501100002322;
                Award ID: 001
                Funded by: Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG);
                Award ID: PPM-00603-18
                Categories
                Research Articles
                Custom metadata
                ts10

                Medicine
                intersectoral collaboration,actor-network theory,early child growth and development,health promotion

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