Article(id=1322609177294393645, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1322609030938346427, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202507015, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1751299200000, receivedDateStr=2025-07-01, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793264200757, onlineDateStr=2026-10-29, pubDate=1764000000000, pubDateStr=2025-11-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793264200757, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793264200757, creator=13701087609, updateTime=1793264200757, updator=13701087609, issue=Issue{id=1322609030938346427, tenantId=1146029695717560320, journalId=1227665162245664772, year='2025', volume='52', issue='22', pageStart='4033', pageEnd='4224', issueExtLink='null', onlineDate='null', pubDate='1764000000000', pubDateStr='2025-11-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793264165863, creator='13701087609', updateTime=1793264299902, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322609593264489401, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1322609030938346427, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322609593264489402, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1322609030938346427, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=4126, endPage=4131, ext={EN=ArticleExt(id=1322609177688658222, articleId=1322609177294393645, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Service capacity evaluation and improvement strategies for occupational disease prevention and control institutions in China: A SWOT-based study of 15 institutional surveys, columnId=1228016567846367388, journalTitle=Modern Preventive Medicine, columnName=Health Policy and Management, runingTitle=null, highlight=null, articleAbstract=
Objective To systematically assess the service capacity of provincial occupational disease prevention and control institutions in China using SWOT analysis and explore pathways for high-quality development.
Methods Employing stratified sampling based on the economic zone classification by the National Bureau of Statistics and distribution characteristics of high-risk industries, we selected 15 provincial occupational disease prevention and treatment institutions from 12 provinces across eastern, central, and western China. Data were collected through institutional questionnaires, expert questionnaires, and semi-structured in-depth interviews）, followed by systematic SWOT analysis of internal and external environmental factors.
Results Key strengths included comprehensive clinical service capabilities（100% providing health surveillance, 93.3% covering pneumoconiosis diagnosis and treatment）, concentrated resources, and professional authority in occupational health. Weaknesses encompassed talent shortages（reported by 86.7% of institutions）, inadequate preventive services（only 53.3% conducting hazard assessments）, and lagging informatization. Primary opportunities stemmed from national policies supporting medical-preventive integration（endorsed by 91.2% of institutions）and digital technology applications. Main threats included intensified market competition and insufficient public awareness of occupational health.
Conclusion Provincial occupational disease prevention institutions should adopt a tripartite development strategy focusing on “standardization, technological empowerment, and mechanism innovation”: establish national-level medical centers to develop a comprehensive “prevention-diagnosis-rehabilitation-management” service system; develop regional medical-preventive integration to enhance coordinate occupational health monitoring with clinical services; and promote digital transformation through “Smart Occupational Health” initiatives to overcome data silos. Emphasis should be placed on recruiting and training high-caliber professionals and establishing standardized informatization frameworks to support the high-quality development of occupational disease prevention systems under the Healthy China Initiative.
, authors=Yan-ting WANG, Jiang SHEN, Lin-shen XIE, Ding-zi ZHOU, Jia WANG, Xin ZHAO, Ting YANG, Yan YE, Mei-ju HE, Yu-xin ZENG, Wen-yi ZHENG, Ya-xi ZHOU, Li-yuan CHEN, Hong-wen ZHAO, authorsList=Yan-ting WANG, Jiang SHEN, Lin-shen XIE, Ding-zi ZHOU, Jia WANG, Xin ZHAO, Ting YANG, Yan YE, Mei-ju HE, Yu-xin ZENG, Wen-yi ZHENG, Ya-xi ZHOU, Li-yuan CHEN, Hong-wen ZHAO, authorCompany=null, correspAuthors=Jiang SHEN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322609179672564015, articleId=1322609177294393645, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=中国职业病防治机构服务能力评估与提升路径——基于15家机构调查的SWOT研究, columnId=1228016568014139551, journalTitle=现代预防医学, columnName=卫生政策与管理, runingTitle=null, highlight=null, articleAbstract=
目的 运用SWOT分析法系统评估我国省级职业病防治机构服务能力现状，探索高质量发展路径。
方法 采用分层抽样法，依据国家统计局经济带划分及职业病危害重点行业分布特征，选取东、中、西部12个省份15家省级职业病防治院为研究对象，通过机构问卷、专家问卷及半结构化深度访谈收集数据，运用SWOT框架系统分析内外部环境因素。
结果 优势方面，机构普遍具备职业健康临床服务能力（100%开展健康监护，93.3%覆盖尘肺病诊疗），在职业健康领域资源集中，具有专业权威性；劣势包括人才梯队断层（86.7%机构存在人才不足）、预防服务薄弱（仅53.3%开展危害评价）及信息化建设滞后；发展机遇主要来自国家医防融合政策支持（91.2%机构认可）和数字技术应用；威胁表现为医疗市场竞争加剧和公众职业健康认知不足。
结论 省级职业病防治院应实施“标准引领－技术赋能－机制创新”三位一体发展策略：建设国家级职业病防治医学中心，构建“预防－诊疗－康复－管理”全链条服务体系；建立区域医防融合创新平台，推动职业卫生监测与临床服务协同发展；推进“智慧职防”数字化转型工程，破解数据孤岛效应。建议重点突破高层次人才引育、信息化标准体系构建等关键环节，为健康中国战略下的职业病防治体系高质量发展提供实施路径。
, authors=王妍亭, 沈江, 谢林伸, 周丁子, 王佳, 赵欣, 杨婷, 叶艳, 贺美菊, 曾雨欣, 郑炆苅, 周亚希, 陈利嫒, 赵洪文, authorsList=王妍亭, 沈江, 谢林伸, 周丁子, 王佳, 赵欣, 杨婷, 叶艳, 贺美菊, 曾雨欣, 郑炆苅, 周亚希, 陈利嫒, 赵洪文, authorCompany=null, correspAuthors=沈江, authorNote=
王妍亭（1987—），女，硕士，主治医师，研究方向：职业医学、尘肺康复、医院管理
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本刊刊出的所有文章不代表中华预防医学会和本刊编委会的观点，除非特别声明。, copyrightOwner=中华预防医学会和四川大学华西公共卫生学院, extLink=null, articleAbsUrl=null, sourceXml=TXPLnbDs04ejM5r88ngpnQ==, magXml=G3ai9J0sRytvKUhlEg4xyA==, pdfUrl=null, pdf=jPtv5VJ1L9WBIGjpWLreDg==, pdfFileSize=766085, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=3VyzQ5us4vYehR3LVUYqaQ==, mapNumber=null, fund=null)}, authors=[Author(id=1322609180012302644, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322609180100383030, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, authorId=1322609180012302644, language=EN, stringName=Yan-ting WANG, firstName=Yan-ting, middleName=null, lastName=WANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322609180163297591, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, authorId=1322609180012302644, language=CN, stringName=王妍亭, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=四川大学华西公共卫生学院/四川大学华西第四医院，四川 成都 610041, bio={"content":"
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63 (9): 1076-1083., articleTitle=Berichterstattung zu sicherheit und gesundheit bei der arbeit[Reporting on safety and health at work], refAbstract=null)], funds=null, companyList=[AuthorCompany(id=1322609179907445040, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, xref=null, ext=[AuthorCompanyExt(id=1322609179915833649, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, companyId=1322609179907445040, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China), AuthorCompanyExt(id=1322609179945193778, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, companyId=1322609179907445040, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=四川大学华西公共卫生学院/四川大学华西第四医院，四川 成都 610041)])], figs=[ArticleFig(id=1322609186098237828, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=EN, label=Table 1, caption=
Geographic distribution of surveyed institutions
, figureFileSmall=null, figureFileBig=null, tableContent=
| 地区 | 调查机构数[n（%）] |
|---|
| 甘肃 | 1（6.7） |
| 广西 | 1（6.7） |
| 贵州 | 1（6.7） |
| 河南 | 1（6.7） |
| 黑龙江 | 1（6.7） |
| 湖北 | 1（6.7） |
| 湖南 | 1（6.7） |
| 内蒙古 | 1（6.7） |
| 宁夏 | 2（13.3） |
| 山西 | 1（6.7） |
| 四川 | 3（20.0） |
| 云南 | 1（6.7） |
| 合计 | 15（0.0） |
), ArticleFig(id=1322609186190512517, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=CN, label=表1, caption=
调查机构所在地区
, figureFileSmall=null, figureFileBig=null, tableContent=
| 地区 | 调查机构数[n（%）] |
|---|
| 甘肃 | 1（6.7） |
| 广西 | 1（6.7） |
| 贵州 | 1（6.7） |
| 河南 | 1（6.7） |
| 黑龙江 | 1（6.7） |
| 湖北 | 1（6.7） |
| 湖南 | 1（6.7） |
| 内蒙古 | 1（6.7） |
| 宁夏 | 2（13.3） |
| 山西 | 1（6.7） |
| 四川 | 3（20.0） |
| 云南 | 1（6.7） |
| 合计 | 15（0.0） |
), ArticleFig(id=1322609186257621382, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=EN, label=Table 2, caption=
Institutional characteristics and classification
, figureFileSmall=null, figureFileBig=null, tableContent=
| 调查结构情况 | 调查机构数
[n（%）] |
|---|
| 机构性质 | |
| 职业病防治院（研究所） | 6（40.0） |
| 含职业病科的医院 | 5（33.3） |
| 职业病专科医院 | 2（13.3） |
| 综合医院加挂职防院 | 1（6.7） |
| 依托医院建立的职业病防治中心 | 1（6.7） |
| 机构等级 | |
| 三甲 | 6（40.0） |
| 三乙 | 2（13.3） |
| 三级 | 2（13.3） |
| 二甲 | 2（13.3） |
| 二乙 | 1（6.7） |
| 二级 | 2（13.3） |
), ArticleFig(id=1322609186341507463, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=CN, label=表2, caption=
调查机构性质与级别
, figureFileSmall=null, figureFileBig=null, tableContent=
| 调查结构情况 | 调查机构数
[n（%）] |
|---|
| 机构性质 | |
| 职业病防治院（研究所） | 6（40.0） |
| 含职业病科的医院 | 5（33.3） |
| 职业病专科医院 | 2（13.3） |
| 综合医院加挂职防院 | 1（6.7） |
| 依托医院建立的职业病防治中心 | 1（6.7） |
| 机构等级 | |
| 三甲 | 6（40.0） |
| 三乙 | 2（13.3） |
| 三级 | 2（13.3） |
| 二甲 | 2（13.3） |
| 二乙 | 1（6.7） |
| 二级 | 2（13.3） |
), ArticleFig(id=1322609186412810632, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=EN, label=Table 3, caption=
Institutional health resources survey
, figureFileSmall=null, figureFileBig=null, tableContent=
| 机构 | 总床位数 | 卫生技术人员总数 | 从事职业病防治工作的医师 |
|---|
小计
[n（%）] | 高级职称人数[n（%] | 中级职称人数[n（%] | 高级：中级 |
|---|
| 四川省某二级乙等医院 | 20 | 19 | 3（15.8） | 3（100.0） | 0（0.0） | - |
| 甘肃省某三级甲等医院 | 700 | 657 | 18（2.7） | 7（38.9） | 11（61.1） | 1:1.57 |
| 河南省某二级医院 | 200 | 280 | 169（60.4） | 48（28.4） | 61（36.1） | 1:1.27 |
| 内蒙古自治区二级医院 | 30 | 35 | 12（34.3） | 9（75.0） | 2（16.7） | 1:0.22 |
| 四川省某三级乙等医院 | 1 006 | 640 | 70（10.9） | 25（35.7） | 20（28.6） | 1:0.80 |
| 山西省某三级甲等医院 | 300 | 517 | 26（5.0） | 13（50.0） | 13（50.0） | 1:1.00 |
| 湖北省某二级甲等医院 | 100 | 173 | 79（45.7） | 16（20.3） | 30（38.0） | 1:1.88 |
| 湖南省某三级甲等医院 | 705 | 488 | 78（16.0） | 35（44.9） | 24（34.6） | 1:0.69 |
| 广西壮族自治区某三级甲等医院 | 800 | 689 | 59（8.6） | 27（45.8） | 27（45.8） | 1:1.00 |
| 黑龙江省某三级医院 | 980 | 858 | 71（8.3） | 57（80.3） | 14（19.7） | 1:0.25 |
| 四川省某三级甲等医院 | 1 184 | 1 251 | 10（0.8） | 5（50.0） | 5（50.0） | 1:1.00 |
| 贵州省某三级医院 | 500 | 441 | 43（9.8） | 22（51.1） | 6（14.0） | 1:0.27 |
| 宁夏回族自治区某二级甲等医院 | 280 | 281 | 7（2.6） | 4（57.1） | 1（14.3） | 1:0.25 |
| 宁夏回族自治区某三级乙等医院 | 1 264 | 870 | 202（23.2） | 25（12.4） | 68（33.7） | 1:2.72 |
| 云南省某三级甲等医院 | 1 100 | 1 200 | 13（1.1） | 5（38.5） | 8（61.5） | 1:1.60 |
| 合计 | 9 169 | 8 399 | 860（9.4） | 301（35.0） | 290（33.7） | 1:0.96 |
), ArticleFig(id=1322609186492502409, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=CN, label=表3, caption=
调查机构卫生资源状况
, figureFileSmall=null, figureFileBig=null, tableContent=
| 机构 | 总床位数 | 卫生技术人员总数 | 从事职业病防治工作的医师 |
|---|
小计
[n（%）] | 高级职称人数[n（%] | 中级职称人数[n（%] | 高级：中级 |
|---|
| 四川省某二级乙等医院 | 20 | 19 | 3（15.8） | 3（100.0） | 0（0.0） | - |
| 甘肃省某三级甲等医院 | 700 | 657 | 18（2.7） | 7（38.9） | 11（61.1） | 1:1.57 |
| 河南省某二级医院 | 200 | 280 | 169（60.4） | 48（28.4） | 61（36.1） | 1:1.27 |
| 内蒙古自治区二级医院 | 30 | 35 | 12（34.3） | 9（75.0） | 2（16.7） | 1:0.22 |
| 四川省某三级乙等医院 | 1 006 | 640 | 70（10.9） | 25（35.7） | 20（28.6） | 1:0.80 |
| 山西省某三级甲等医院 | 300 | 517 | 26（5.0） | 13（50.0） | 13（50.0） | 1:1.00 |
| 湖北省某二级甲等医院 | 100 | 173 | 79（45.7） | 16（20.3） | 30（38.0） | 1:1.88 |
| 湖南省某三级甲等医院 | 705 | 488 | 78（16.0） | 35（44.9） | 24（34.6） | 1:0.69 |
| 广西壮族自治区某三级甲等医院 | 800 | 689 | 59（8.6） | 27（45.8） | 27（45.8） | 1:1.00 |
| 黑龙江省某三级医院 | 980 | 858 | 71（8.3） | 57（80.3） | 14（19.7） | 1:0.25 |
| 四川省某三级甲等医院 | 1 184 | 1 251 | 10（0.8） | 5（50.0） | 5（50.0） | 1:1.00 |
| 贵州省某三级医院 | 500 | 441 | 43（9.8） | 22（51.1） | 6（14.0） | 1:0.27 |
| 宁夏回族自治区某二级甲等医院 | 280 | 281 | 7（2.6） | 4（57.1） | 1（14.3） | 1:0.25 |
| 宁夏回族自治区某三级乙等医院 | 1 264 | 870 | 202（23.2） | 25（12.4） | 68（33.7） | 1:2.72 |
| 云南省某三级甲等医院 | 1 100 | 1 200 | 13（1.1） | 5（38.5） | 8（61.5） | 1:1.60 |
| 合计 | 9 169 | 8 399 | 860（9.4） | 301（35.0） | 290（33.7） | 1:0.96 |
), ArticleFig(id=1322609186572194186, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=EN, label=Table 4, caption=
Occupational disease prevention and control services in surveyed institutions
, figureFileSmall=null, figureFileBig=null, tableContent=
| 服务类型 | 提供服务的机构数量调查机构数[n（%）] |
|---|
| 职业病诊断 | 13（86.7） |
| 职业病治疗 | 14（93.3） |
| 职业病康复 | 13（86.7） |
| 职业卫生监督管理 | 1（6.7） |
| 健康检查与健康监护 | 15（100.0） |
| 职业卫生监测 | 7（46.7） |
| 职业病危害评价 | 8（53.3） |
| 化学物毒性鉴定 | 6（40.0） |
| 中毒控制 | 6（40.0） |
| 其他 | 3（20.0） |
), ArticleFig(id=1322609186643497355, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=CN, label=表4, caption=
调查机构提供的职业病防治服务
, figureFileSmall=null, figureFileBig=null, tableContent=
| 服务类型 | 提供服务的机构数量调查机构数[n（%）] |
|---|
| 职业病诊断 | 13（86.7） |
| 职业病治疗 | 14（93.3） |
| 职业病康复 | 13（86.7） |
| 职业卫生监督管理 | 1（6.7） |
| 健康检查与健康监护 | 15（100.0） |
| 职业卫生监测 | 7（46.7） |
| 职业病危害评价 | 8（53.3） |
| 化学物毒性鉴定 | 6（40.0） |
| 中毒控制 | 6（40.0） |
| 其他 | 3（20.0） |
), ArticleFig(id=1322609188300247436, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=EN, label=Table 5, caption=
Service coverage of occupational disease categories in past three years
, figureFileSmall=null, figureFileBig=null, tableContent=
| 病种类型 | 机构数量[n（%）] |
|---|
| 职业性尘肺病及其他呼吸系统疾病 | 14（93.3） |
| 职业性耳鼻喉口腔疾病 | 12（80.0） |
| 职业性化学中毒 | 12（80.0） |
| 物理因素所致职业病 | 12（80.0） |
| 职业性传染病 | 9（60.0） |
| 职业性皮肤病 | 7（46.7） |
| 职业性肿瘤 | 6（40.0） |
| 职业性眼病 | 4（26.7） |
| 职业性放射性疾病 | 4（26.7） |
| 其他职业病 | 1（6.7） |
), ArticleFig(id=1322609188388327821, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=CN, label=表5, caption=
近三年机构接诊的职业病病种
, figureFileSmall=null, figureFileBig=null, tableContent=
| 病种类型 | 机构数量[n（%）] |
|---|
| 职业性尘肺病及其他呼吸系统疾病 | 14（93.3） |
| 职业性耳鼻喉口腔疾病 | 12（80.0） |
| 职业性化学中毒 | 12（80.0） |
| 物理因素所致职业病 | 12（80.0） |
| 职业性传染病 | 9（60.0） |
| 职业性皮肤病 | 7（46.7） |
| 职业性肿瘤 | 6（40.0） |
| 职业性眼病 | 4（26.7） |
| 职业性放射性疾病 | 4（26.7） |
| 其他职业病 | 1（6.7） |
), ArticleFig(id=1322609188472213902, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=EN, label=Table 6, caption=
Key challenges in clinical prevention and management of occupational diseases
, figureFileSmall=null, figureFileBig=null, tableContent=
| 主要困境 | 机构数量[n（%）] |
|---|
| 职业专业人才队伍梯队不健全 | 13（86.7） |
| 专业人才数量不足 | 11（73.3） |
| 人员经费不足 | 11（73.3） |
| 工作经费不足 | 11（73.3） |
| 从业人员卫生技术水平有待提高 | 8（53.3） |
| 各环节岗位职责界定不清 | 8（53.3） |
| 当地相关管理部门支持力度不够 | 7（46.7） |
| 相关人员职业病防治意愿不强 | 7（46.7） |
), ArticleFig(id=1322609188539322767, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=CN, label=表6, caption=
职业病临床防治的主要困境
, figureFileSmall=null, figureFileBig=null, tableContent=
| 主要困境 | 机构数量[n（%）] |
|---|
| 职业专业人才队伍梯队不健全 | 13（86.7） |
| 专业人才数量不足 | 11（73.3） |
| 人员经费不足 | 11（73.3） |
| 工作经费不足 | 11（73.3） |
| 从业人员卫生技术水平有待提高 | 8（53.3） |
| 各环节岗位职责界定不清 | 8（53.3） |
| 当地相关管理部门支持力度不够 | 7（46.7） |
| 相关人员职业病防治意愿不强 | 7（46.7） |
), ArticleFig(id=1322609188593848720, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=EN, label=Table 7, caption=
SWOT analysis for development of provincial-level occupational disease prevention institutes
, figureFileSmall=null, figureFileBig=null, tableContent=
| 分类 | 职业病防治院建设过程中的环境因素 |
|---|
| 内部因素 | |
| 优势（strengths） | S1：专业权威性：省级机构通常具备较强的职业病诊断、治疗和康复技术能力，是区域职业病防治的技术指导中心。 |
| S2：资源集中优势：相比基层机构，拥有更完善的实验室设备、专科病房和专家团队（如尘肺病诊疗、中毒救治等）。 |
| S3政策支持地位：作为省级技术支撑单位，在政策制定、标准宣贯、培训考核等方面具有话语权。 |
| 劣势（weaknesses） | W1：人才结构失衡：职业病临床医师与公共卫生人员比例失调，预防型人才短缺。高级职称人员集中于传统病种（如尘肺病），新兴领域（如职业性肿瘤、心理疾病）专家不足。 |
| W2：服务模式单一：侧重“诊断－治疗”，职业健康监护、危害评价、健康促进等预防性服务能力薄弱。医防协同机制缺失，临床与公卫业务割裂。 |
| W3：经费依赖性强：主要依赖财政拨款，市场化服务（如企业职业健康咨询）创收能力不足，制约可持续发展。 |
| W4：信息化水平低：职业病诊疗数据与疾控监测系统未打通，难以实现动态风险预警。 |
| 外部因素 | |
| 机会（opportunities） | O1：政策红利：“健康中国2030”强调医防融合，国家卫健委推动公立医院设立公共卫生科，为职能拓展提供依据。 |
| O2：产业转型需求：新业态（如平台经济、新能源产业）催生新型职业健康问题，催生新的服务需求（如肌肉骨骼疾病、心理压力干预）。 |
| O3：技术赋能：大数据、AI技术可提升职业病早期筛查和风险评估效率（如尘肺病AI影像诊断），契合“数智驱动+智能决策”发展机制，为职业病防治信息化建设提供理论支撑[3]。 |
| 威胁（threats） | T1：医疗市场竞争激烈：公立职业病防治机构与民营体检中心、第三方检测机构形成三元竞争格局，低价竞争导致服务缩水、报告造假，形成“劣币驱逐良币”现象。 |
| T2：区域发展不平衡：中西部地区防治机构硬件和人才短板突出，与东部差距拉大。 |
| T3：公众认知不足、企业配合度低：劳动者对职业病防护意识薄弱，主动就诊率低，中小企业职业健康投入不足，逃避职业病危害检测和职工体检，增加防治难度。 |
), ArticleFig(id=1322609188681929105, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322609177294393645, language=CN, label=表7, caption=
省级职业病防治院发展建设SWOT分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 分类 | 职业病防治院建设过程中的环境因素 |
|---|
| 内部因素 | |
| 优势（strengths） | S1：专业权威性：省级机构通常具备较强的职业病诊断、治疗和康复技术能力，是区域职业病防治的技术指导中心。 |
| S2：资源集中优势：相比基层机构，拥有更完善的实验室设备、专科病房和专家团队（如尘肺病诊疗、中毒救治等）。 |
| S3政策支持地位：作为省级技术支撑单位，在政策制定、标准宣贯、培训考核等方面具有话语权。 |
| 劣势（weaknesses） | W1：人才结构失衡：职业病临床医师与公共卫生人员比例失调，预防型人才短缺。高级职称人员集中于传统病种（如尘肺病），新兴领域（如职业性肿瘤、心理疾病）专家不足。 |
| W2：服务模式单一：侧重“诊断－治疗”，职业健康监护、危害评价、健康促进等预防性服务能力薄弱。医防协同机制缺失，临床与公卫业务割裂。 |
| W3：经费依赖性强：主要依赖财政拨款，市场化服务（如企业职业健康咨询）创收能力不足，制约可持续发展。 |
| W4：信息化水平低：职业病诊疗数据与疾控监测系统未打通，难以实现动态风险预警。 |
| 外部因素 | |
| 机会（opportunities） | O1：政策红利：“健康中国2030”强调医防融合，国家卫健委推动公立医院设立公共卫生科，为职能拓展提供依据。 |
| O2：产业转型需求：新业态（如平台经济、新能源产业）催生新型职业健康问题，催生新的服务需求（如肌肉骨骼疾病、心理压力干预）。 |
| O3：技术赋能：大数据、AI技术可提升职业病早期筛查和风险评估效率（如尘肺病AI影像诊断），契合“数智驱动+智能决策”发展机制，为职业病防治信息化建设提供理论支撑[3]。 |
| 威胁（threats） | T1：医疗市场竞争激烈：公立职业病防治机构与民营体检中心、第三方检测机构形成三元竞争格局，低价竞争导致服务缩水、报告造假，形成“劣币驱逐良币”现象。 |
| T2：区域发展不平衡：中西部地区防治机构硬件和人才短板突出，与东部差距拉大。 |
| T3：公众认知不足、企业配合度低：劳动者对职业病防护意识薄弱，主动就诊率低，中小企业职业健康投入不足，逃避职业病危害检测和职工体检，增加防治难度。 |
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