评估美国各州对小儿眼科服务的需求与可及性之间的关系

Benton Chuter, Alex C Lieu, Justin Huynh, Jennifer J Bu, Linda M Zangwill
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引用次数: 0

摘要

目的:调查美国全州公众对小儿眼科服务的需求与此类服务可及性之间的关系,重点关注斜视治疗:方法: 利用谷歌趋势数据分析了 2014 年 1 月至 2023 年 12 月期间 "斜视 "的搜索量。小儿眼科医生的可用性通过美国眼科学会目录进行评估,并根据各州人口规模进行归一化处理,以创建相对需求指数。来自美国人口普查局和疾病控制与预防中心的其他指标提供了社会经济和健康数据。相关系数用于探讨搜索量、专家可用性、视力筛查、社会经济和人口因素之间的关系:数据显示,各州公众对小儿眼科的兴趣各不相同,其中阿拉斯加州的斜视搜索量最高。数据还显示小儿眼科医生的密度存在明显差异,北达科他州、佛蒙特州和怀俄明州没有小儿眼科医生。小儿眼科医生的可用性与视力筛查之间存在明显的相关性(R = 0.486,p < 0.001)。相对需求指数与城市化(R = -0.388,p = 0.007)和斜视患病率(R = -0.455,p = 0.001)之间呈负相关,表明城市化和专家分布影响了眼科需求和可及性:研究结果表明,受城市化和医疗保健专业人员分布的影响,美国儿童眼科服务的可及性和需求存在差异。这项研究强调,有必要采取有针对性的干预措施,以改善医疗服务的可及性,缩小小儿眼科服务供应方面的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing The Relationship Between Demand And Accessibility For Pediatric Ophthalmology Services By State In The United States
Purpose: To investigate the relationship between public demand for pediatric ophthalmology services and the accessibility of such services on a statewide basis in the United States, focusing on strabismus care. Methods: Using Google Trends data, search volumes for "strabismus" were analyzed from January 2014 to December 2023. Pediatric ophthalmologist availability was assessed via the American Academy of Ophthalmology directory, normalized for state population size to create a relative demand index. Additional metrics from the United States Census Bureau and Centers for Disease Control and Prevention provided socioeconomic and health data. Correlation coefficients were used to explore relationships between search volumes, specialist availability, vision screening, socioeconomics, and demographic factors. Results: The data revealed variability in public interest in pediatric ophthalmology across states, with Alaska showing the highest relative search volume for strabismus. The data also indicated notable disparities in pediatric ophthalmologist density, with North Dakota, Vermont, and Wyoming having no pediatric ophthalmologists. A significant correlation was identified between pediatric ophthalmologist availability and vision screening (R = 0.486, p < 0.001). Negative correlations were observed between the relative demand index and urbanization (R = -0.388, p = 0.007), as well as the strabismus prevalence (R = -0.455, p = 0.001), indicating that urbanization and specialist distribution influence eyecare demand and access. Conclusion: The findings highlight disparities in accessibility and demand for pediatric ophthalmology services across the US, influenced by urbanization and distribution of healthcare professionals. The study underscores the need for targeted interventions to improve access to care and bridge gaps in pediatric ophthalmology service provision.
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