{
  "abstract": "Introduction Tobacco use causes approximately 8 million deaths worldwide each year. Against the backdrop of a rapidly expanding game market, there is growing potential to develop tailored gaming interventions for smoking cessation. This study protocol describes the development of a personalised Serious Game Applet based on an integrated TTM–PMT–HAPA framework (Transtheoretical Model, Protection Motivation Theory, Health Action Process Approach) and evaluates its effectiveness compared with conventionalShort Messaging Service (SMS) -based smoking cessation interventions.Methods and analysis Design: The study comprises two phases. The first involves developing the Serious Game Applet using the TTM–PMT–HAPA theoretical framework. The second phase consists of a multicentre, two-arm, single-blind cluster randomised controlled trial, which will enrol 1320 eligible smokers from various enterprises. Enterprises will be randomised to either the Serious Game Applet group or the SMS push control group. Eligible participants include daily smokers aged 18–45 years, working in non-tobacco-related enterprises, with exhaled carbon monoxide levels ≥6 ppm.Outcomes: Primary outcomes are smoking abstinence rates at 3 and 6 months. Secondary outcomes include abstinence rates at 1, 2 and 9 months; point-prevalence cessation rates at 1, 2, 3, 6 and 9 months; changes in cigarette consumption; stage transitions in smoking cessation; nicotine dependence scores and withdrawal symptoms. The trial will be conducted as a field study targeting smartphone users across three cities in Fujian Province, China.Ethics and dissemination This study has been approved by the Biomedical Research Ethics Committee of Fujian Medical University (Approval No. 127, 2024). Results will be disseminated through peer-reviewed journals and academic conferences.Trial registration number ChiCTR2400088105.",
  "authors": [
    {
      "affiliations": [
        "School of Health Management, Fujian Medical University, Fuzhou, Fujian, China"
      ],
      "name": "Xiangran Kong"
    },
    {
      "affiliations": [
        "School of Health Management, Fujian Medical University, Fuzhou, Fujian, China"
      ],
      "name": "Zean Li"
    },
    {
      "affiliations": [
        "Fujian Center for Disease Control and Prevention, Fuzhou, Fujian, China"
      ],
      "name": "Jinhui Chen"
    },
    {
      "affiliations": [
        "School of Public Health, Hainan Medical University, Haikou, China"
      ],
      "name": "Qingping Yun"
    },
    {
      "affiliations": [
        "Fujian Center for Disease Control and Prevention, Fuzhou, China"
      ],
      "name": "Yimeng Mao"
    },
    {
      "affiliations": [
        "Quanzhou Center For Disease Prevention and Control, Fujian, Quanzhou, China"
      ],
      "name": "Yongjun Chen"
    },
    {
      "affiliations": [
        "School of Health Management, Fujian Medical University, Fuzhou, Fujian, China"
      ],
      "name": "Xiaoyu Wang"
    },
    {
      "affiliations": [
        "School of Health Management, Fujian Medical University, Fuzhou, Fujian, China"
      ],
      "name": "Wenqi Zhou"
    },
    {
      "affiliations": [
        "School of Health Management, Fujian Medical University, Fuzhou, Fujian, China"
      ],
      "name": "Linlei Zhao"
    },
    {
      "affiliations": [
        "School of Health Management, Fujian Medical University, Fuzhou, Fujian, China"
      ],
      "name": "Xingjie Wu"
    },
    {
      "affiliations": [
        "School of Health Management, Fujian Medical University, Fuzhou, Fujian, China"
      ],
      "name": "Chunyan Yang"
    },
    {
      "affiliations": [
        "School of Health Management, Fujian Medical University, Fuzhou, Fujian, China"
      ],
      "name": "Yunting Zheng"
    },
    {
      "affiliations": [
        "Social Medicine and Health Education, Peking University, Beijing, China"
      ],
      "name": "Chun Chang"
    }
  ],
  "title": "Develop a personalised serious game applet for smoking cessation: protocol for enterprise-based cluster randomised controlled trial",
  "uid": "9042ab21-2a9a-5c7f-aac7-616c5e725318"
}