Demographic factors associated with healthcare avoidance and delay in the transgender population: Findings from a systematic review

Siobhan D. Thomas, Robert King, Mike Murphy, Maria Dempsey
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Abstract

Purpose

Healthcare avoidance and delay (HAD) in the transgender population has been well documented, and research has explored a range of associated factors that help to identify those most at risk of HAD. This review addresses a gap in the research by synthesizing research exploring associations between HAD and demographic factors.

Methods

A systematic search of literature published at any time up to December 2021 was conducted, using five databases (EBSCO, EMBASE, PubMed, Scopus, and Web of Science) and manually searching reference lists of included studies. After exclusion of duplicates, 608 unique records were subjected to double screening. Papers reporting statistical analyses of HAD in association with any sociodemographic variables were included in this review. Papers consisted of nineteen cross-sectional studies. Narrative synthesis was used to address findings.

Results

Nineteen studies met inclusion criteria, exploring HAD in association with a wide range of demographic factors, including sex and gender, social transition factors, age, race and ethnicity, socioeconomic factors, veteran status, education, sexuality, relationship status, citizenship, place of residence, and state demographics. Findings identified intra-community demographic risk factors, with consistent evidence for increased HAD among transmasculine, and younger, participants. Lower income and higher educational attainment were also associated with increased HAD, while remaining areas had weak or little evidence for association with HAD.

Conclusion

This review expands knowledge in this area by highlighting demographic factors associated with increased HAD in research literature, and exploring how these may be further investigated to address substantial gaps in the body of research.

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跨性别人群中与医疗回避和延迟相关的人口统计学因素:来自系统回顾的发现
变性人群中的医疗回避和延迟(HAD)已经有了很好的记录,研究已经探索了一系列相关因素,这些因素有助于确定那些最有可能患HAD的人。这篇综述通过综合研究HAD和人口因素之间的关系来解决研究中的一个空白。使用EBSCO、EMBASE、PubMed、Scopus和Web of Science 5个数据库,对截至2021年12月的任何时间发表的文献进行系统检索,并手动检索纳入研究的参考文献列表。在排除重复后,对608个独特的记录进行了双重筛选。报告HAD与任何社会人口学变量相关的统计分析的论文被纳入本综述。论文包括19项横断面研究。叙述综合被用来处理调查结果。19项研究符合纳入标准,探索HAD与广泛的人口因素的关系,包括性别和性别、社会转型因素、年龄、种族和民族、社会经济因素、退伍军人身份、教育、性取向、关系状况、公民身份、居住地和州人口统计。研究结果确定了社区内的人口危险因素,有一致的证据表明变性男性和年轻参与者的HAD增加。较低的收入和较高的受教育程度也与HAD的增加有关,而其余地区与HAD的关系的证据很弱或很少。这篇综述通过强调研究文献中与HAD增加相关的人口因素来扩展这一领域的知识,并探索如何进一步调查这些因素以解决研究主体中的实质性空白。
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来源期刊
Dialogues in health
Dialogues in health Public Health and Health Policy
CiteScore
0.70
自引率
0.00%
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0
审稿时长
134 days
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