Wei-Chen Lee, Emily M Kim, Elizabeth A Nemirovski, Sagar Kamprath, Meredith C Masel, Darpan I Patel
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Using the component analysis, eight sources of information were classified into three domains: structured (doctor, government, scientist, and charity), less structured (family and religion), and semi-structured (health system and social media). Respondents answered questions on a scale of 1-4. Weighted linear regression models were constructed to examine trust level in three domains by rural residency and cancer status, while adjusting for demographic and socioeconomic status.</p><p><strong>Results: </strong>Urban patients reported higher trust in more structured sources of information (2.999 > 2.873, <i>p</i> = 0.005) whereas rural counterparts reported higher trust in less structured sources of information (2.241 > 2.153, <i>p</i> = 0.012). After adjusting for covariates, urban respondents with cancer are more likely to trust doctors (Coeff. = 0.163, <i>p</i> < 0.001) than those without cancer. Rural respondents with cancer are less likely to trust charities (Coeff. = -0.357, <i>p</i> < 0.01) and scientists (Coeff. = -0.374, <i>p</i> < 0.05) than rural respondents without cancer.</p><p><strong>Conclusions: </strong>Newly diagnosed cancer patients in rural areas are less likely to trust structured sources of information even after adjusting for all covariates. Additional studies about misinformation and disinformation being channeled through less structured sources of information are needed to prevent any delay in care among cancer patients, especially rural patients who are more likely to access these sources of information.</p>","PeriodicalId":12977,"journal":{"name":"Healthcare","volume":"13 6","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11942197/pdf/","citationCount":"0","resultStr":"{\"title\":\"Public Trust in Different Sources of Information: Gaps in Rural Residents and Cancer Patients.\",\"authors\":\"Wei-Chen Lee, Emily M Kim, Elizabeth A Nemirovski, Sagar Kamprath, Meredith C Masel, Darpan I Patel\",\"doi\":\"10.3390/healthcare13060640\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background/objectives: </strong>Understanding health information-seeking behavior is critical in providing effective interventions and improving quality of life for patients, especially those facing complex diagnoses like cancer. The purpose of this study is to understand rural-urban differences in trust levels for various information sources and how trust may differ by cancer status (no cancer, newly diagnosed, survived for six and more years).</p><p><strong>Methods: </strong>We examined 5775 responses from the 2022 Health Information National Trends Survey<sup>®</sup>. Using the component analysis, eight sources of information were classified into three domains: structured (doctor, government, scientist, and charity), less structured (family and religion), and semi-structured (health system and social media). Respondents answered questions on a scale of 1-4. Weighted linear regression models were constructed to examine trust level in three domains by rural residency and cancer status, while adjusting for demographic and socioeconomic status.</p><p><strong>Results: </strong>Urban patients reported higher trust in more structured sources of information (2.999 > 2.873, <i>p</i> = 0.005) whereas rural counterparts reported higher trust in less structured sources of information (2.241 > 2.153, <i>p</i> = 0.012). After adjusting for covariates, urban respondents with cancer are more likely to trust doctors (Coeff. = 0.163, <i>p</i> < 0.001) than those without cancer. Rural respondents with cancer are less likely to trust charities (Coeff. = -0.357, <i>p</i> < 0.01) and scientists (Coeff. = -0.374, <i>p</i> < 0.05) than rural respondents without cancer.</p><p><strong>Conclusions: </strong>Newly diagnosed cancer patients in rural areas are less likely to trust structured sources of information even after adjusting for all covariates. Additional studies about misinformation and disinformation being channeled through less structured sources of information are needed to prevent any delay in care among cancer patients, especially rural patients who are more likely to access these sources of information.</p>\",\"PeriodicalId\":12977,\"journal\":{\"name\":\"Healthcare\",\"volume\":\"13 6\",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11942197/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Healthcare\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3390/healthcare13060640\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Healthcare","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/healthcare13060640","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
摘要
背景/目的:了解健康信息寻求行为对于提供有效的干预措施和改善患者的生活质量至关重要,特别是那些面临复杂诊断的患者,如癌症。本研究的目的是了解城乡对各种信息来源的信任水平差异,以及信任如何因癌症状况(无癌症,新诊断,存活六年以上)而不同。方法:我们检查了来自2022年健康信息全国趋势调查®的5775份回复。通过成分分析,八个信息来源被分为三个领域:结构化(医生、政府、科学家和慈善机构)、非结构化(家庭和宗教)和半结构化(卫生系统和社交媒体)。受访者回答了1-4分的问题。在对人口和社会经济状况进行调整的同时,构建加权线性回归模型,考察农村居民和癌症状况在三个领域的信任水平。结果:城市患者对结构化信息来源的信任度较高(2.999 > 2.873,p = 0.005),而农村患者对非结构化信息来源的信任度较高(2.241 > 2.153,p = 0.012)。在调整协变量后,患有癌症的城市受访者更有可能相信医生(Coeff。= 0.163, p < 0.001)。患有癌症的农村受访者不太可能信任慈善机构(Coeff)。= -0.357, p < 0.01)和科学家(Coeff;= -0.374, p < 0.05)。结论:农村地区新诊断的癌症患者即使在调整了所有协变量后,也不太可能信任结构化的信息来源。为了防止癌症患者,特别是更有可能获得这些信息来源的农村患者的护理延误,需要对通过不太结构化的信息来源提供的错误信息和虚假信息进行进一步研究。
Public Trust in Different Sources of Information: Gaps in Rural Residents and Cancer Patients.
Background/objectives: Understanding health information-seeking behavior is critical in providing effective interventions and improving quality of life for patients, especially those facing complex diagnoses like cancer. The purpose of this study is to understand rural-urban differences in trust levels for various information sources and how trust may differ by cancer status (no cancer, newly diagnosed, survived for six and more years).
Methods: We examined 5775 responses from the 2022 Health Information National Trends Survey®. Using the component analysis, eight sources of information were classified into three domains: structured (doctor, government, scientist, and charity), less structured (family and religion), and semi-structured (health system and social media). Respondents answered questions on a scale of 1-4. Weighted linear regression models were constructed to examine trust level in three domains by rural residency and cancer status, while adjusting for demographic and socioeconomic status.
Results: Urban patients reported higher trust in more structured sources of information (2.999 > 2.873, p = 0.005) whereas rural counterparts reported higher trust in less structured sources of information (2.241 > 2.153, p = 0.012). After adjusting for covariates, urban respondents with cancer are more likely to trust doctors (Coeff. = 0.163, p < 0.001) than those without cancer. Rural respondents with cancer are less likely to trust charities (Coeff. = -0.357, p < 0.01) and scientists (Coeff. = -0.374, p < 0.05) than rural respondents without cancer.
Conclusions: Newly diagnosed cancer patients in rural areas are less likely to trust structured sources of information even after adjusting for all covariates. Additional studies about misinformation and disinformation being channeled through less structured sources of information are needed to prevent any delay in care among cancer patients, especially rural patients who are more likely to access these sources of information.
期刊介绍:
Healthcare (ISSN 2227-9032) is an international, peer-reviewed, open access journal (free for readers), which publishes original theoretical and empirical work in the interdisciplinary area of all aspects of medicine and health care research. Healthcare publishes Original Research Articles, Reviews, Case Reports, Research Notes and Short Communications. We encourage researchers to publish their experimental and theoretical results in as much detail as possible. For theoretical papers, full details of proofs must be provided so that the results can be checked; for experimental papers, full experimental details must be provided so that the results can be reproduced. Additionally, electronic files or software regarding the full details of the calculations, experimental procedure, etc., can be deposited along with the publication as “Supplementary Material”.