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      The challenges of pig farming in Hong Kong: a study of farmers’ perceptions and attitudes towards a pig health and production management service

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          Abstract

          Background

          Pig farming in Hong Kong differs markedly from other places in the world, with a highly urbanised population, the majority of pigs being imported for slaughter, and limited on-farm veterinary support. Little is known about the barriers and attitudes of pig farmers in Hong Kong and their expectations of a new pig health and production management service provided by veterinarians. We collected qualitative and quantitative data to 1) describe pig farms, 2) identify barriers to pig farming in Hong Kong and 3) describe the perceptions of the new service. Thematic analysis was conducted to identify barriers and attitudes.

          Results

          Eight and nine out of 38 pig farmers agreed to participate in the qualitative and quantitative components, respectively. All farms were farrow-to-finish farms with a median of 2800 (range 950 to 7000) pigs per farm. Three themes were identified during the interview analysis and could be ranked based on their importance to the farmers: the regulatory environment (Theme 1), veterinary support structures (Theme 2), and the sustainability of the pig industry (Theme 3). Farmers expressed dissatisfaction with the regulation of the industry and veterinary services on offer within Hong Kong. However, farmers did note that the provision of a new pig health and production management service was as a positive development. The public perception of pig farming, market forces, and competition from mainland pig farmers have resulted in sustainability challenges for the industry.

          Conclusions

          Farmers identified very specific local systems and challenges unique to pig farming in Hong Kong. The lack of veterinary support was one of these challenges and although a certain level of scepticism towards the new pig health and production service was expressed, farmers indicated their interest and listed areas where they would benefit from improved veterinary support. Prior experiences of veterinary services clouded farmers perceptions of the usefulness of a new service. To be successful in this environment, clear communication about the goals, role and limitations of the new on farm service is crucial, as is the alignment with the needs of farmers. Despite the small sample size, the qualitative methodology used allows us to assume that these themes give a general idea of what Hong Kong farmers’ concerns and attitudes are.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12917-023-03591-7.

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          Most cited references48

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          Three approaches to qualitative content analysis.

          Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
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            The qualitative content analysis process.

            This paper is a description of inductive and deductive content analysis. Content analysis is a method that may be used with either qualitative or quantitative data and in an inductive or deductive way. Qualitative content analysis is commonly used in nursing studies but little has been published on the analysis process and many research books generally only provide a short description of this method. When using content analysis, the aim was to build a model to describe the phenomenon in a conceptual form. Both inductive and deductive analysis processes are represented as three main phases: preparation, organizing and reporting. The preparation phase is similar in both approaches. The concepts are derived from the data in inductive content analysis. Deductive content analysis is used when the structure of analysis is operationalized on the basis of previous knowledge. Inductive content analysis is used in cases where there are no previous studies dealing with the phenomenon or when it is fragmented. A deductive approach is useful if the general aim was to test a previous theory in a different situation or to compare categories at different time periods.
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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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                Author and article information

                Contributors
                s.rosanowski@gmail.com
                Journal
                BMC Vet Res
                BMC Vet Res
                BMC Veterinary Research
                BioMed Central (London )
                1746-6148
                1 February 2023
                1 February 2023
                2023
                : 19
                : 30
                Affiliations
                [1 ]GRID grid.35030.35, ISNI 0000 0004 1792 6846, Centre for Applied One Health Research and Policy Advice, Jockey Club College of Veterinary Medicine and Life Sciences, , City University of Hong Kong, ; Kowloon, Hong Kong SAR, China
                [2 ]GRID grid.417738.e, ISNI 0000 0001 2110 5328, Digital Agriculture, Grasslands Research Centre, , AgResearch Limited, ; Palmerston North, New Zealand
                [3 ]GRID grid.35030.35, ISNI 0000 0004 1792 6846, Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, , City University of Hong Kong, ; Kowloon, Hong Kong SAR, China
                [4 ]GRID grid.35030.35, ISNI 0000 0004 1792 6846, Department of Social and Behavioural Sciences, College of Liberal Arts and Social Sciences, , City University of Hong Kong, ; Kowloon, Hong Kong SAR, China
                Article
                3591
                10.1186/s12917-023-03591-7
                9890852
                36726131
                b0ce3535-8afa-4440-8dad-f1cd1991a283
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 28 September 2022
                : 27 January 2023
                Funding
                Funded by: Sustainable Agricultural Development Fund (SADF)
                Award ID: SADF 0009 ‘Improving pig health and production in Hong Kong’
                Award ID: SADF 0009 ‘Improving pig health and production in Hong Kong’
                Award ID: SADF 0009 ‘Improving pig health and production in Hong Kong’
                Award ID: SADF 0009 ‘Improving pig health and production in Hong Kong’
                Award ID: SADF 0009 ‘Improving pig health and production in Hong Kong’
                Award ID: SADF 0009 ‘Improving pig health and production in Hong Kong’
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Veterinary medicine
                attitudes,barriers,veterinary service,qualitative approach,mixed methods,pig farming

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