{"title":"影响因素:揭示远程医疗保健利用和采用/避免决策的模式和原因。","authors":"Ning Yang , Xin Yang","doi":"10.1016/j.ijmedinf.2024.105781","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The rapid expansion of telehealth, accelerated by the COVID-19 pandemic, has highlighted gaps in understanding demographic and health factors shaping its use. Exploring reasons behind individuals’ choices regarding telehealth can guide strategies to promote adoption among diverse populations.</div></div><div><h3>Methods</h3><div>Data from 5,119 participants in the 2022 Health Information National Trends Survey were analyzed. Dependent variables included telehealth usage and reasons for choosing or avoiding it. Independent variables included demographics, general health, and mental health. Associations were examined using multiple logistic regression models.</div></div><div><h3>Results</h3><div>Factors significantly associated with higher odds of telehealth use included education (college graduate: OR = 1.57, 95 % CI [1.19, 2.06]), gender (male: OR = 0.69, 95 % CI [0.55, 0.87]), rural residency (nonmetro: OR = 0.72, 95 % CI [0.53, 0.97]), depression (OR = 2.91, 95 % CI [2.29, 3.71]), age (e.g., 35–49: OR = 1.66, 95 % CI [1.2, 2.29]), and general health status (good: OR = 0.78, 95 % CI [0.61, 1], excellent or very good: OR = 0.74, 95 % CI [0.58, 0.95]). Older individuals preferred telehealth for convenience but inclined to avoid it in favor of in-person visits. Asian and other group were less likely to use telehealth for seeking advice and including others in visits.</div></div><div><h3>Conclusions</h3><div>Disparities in telehealth utilization were observed across gender, age, education, health status, and urbanization levels. Policymakers should focus on equitable delivery methods, updated regulatory frameworks, and reducing access disparities, especially in underserved communities.</div></div>","PeriodicalId":54950,"journal":{"name":"International Journal of Medical Informatics","volume":"195 ","pages":"Article 105781"},"PeriodicalIF":3.7000,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influencing factors: Unveiling patterns and reasons in telehealth care utilization and adoption/avoidance decisions\",\"authors\":\"Ning Yang , Xin Yang\",\"doi\":\"10.1016/j.ijmedinf.2024.105781\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The rapid expansion of telehealth, accelerated by the COVID-19 pandemic, has highlighted gaps in understanding demographic and health factors shaping its use. Exploring reasons behind individuals’ choices regarding telehealth can guide strategies to promote adoption among diverse populations.</div></div><div><h3>Methods</h3><div>Data from 5,119 participants in the 2022 Health Information National Trends Survey were analyzed. Dependent variables included telehealth usage and reasons for choosing or avoiding it. Independent variables included demographics, general health, and mental health. Associations were examined using multiple logistic regression models.</div></div><div><h3>Results</h3><div>Factors significantly associated with higher odds of telehealth use included education (college graduate: OR = 1.57, 95 % CI [1.19, 2.06]), gender (male: OR = 0.69, 95 % CI [0.55, 0.87]), rural residency (nonmetro: OR = 0.72, 95 % CI [0.53, 0.97]), depression (OR = 2.91, 95 % CI [2.29, 3.71]), age (e.g., 35–49: OR = 1.66, 95 % CI [1.2, 2.29]), and general health status (good: OR = 0.78, 95 % CI [0.61, 1], excellent or very good: OR = 0.74, 95 % CI [0.58, 0.95]). Older individuals preferred telehealth for convenience but inclined to avoid it in favor of in-person visits. Asian and other group were less likely to use telehealth for seeking advice and including others in visits.</div></div><div><h3>Conclusions</h3><div>Disparities in telehealth utilization were observed across gender, age, education, health status, and urbanization levels. Policymakers should focus on equitable delivery methods, updated regulatory frameworks, and reducing access disparities, especially in underserved communities.</div></div>\",\"PeriodicalId\":54950,\"journal\":{\"name\":\"International Journal of Medical Informatics\",\"volume\":\"195 \",\"pages\":\"Article 105781\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Medical Informatics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1386505624004441\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Informatics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1386505624004441","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Influencing factors: Unveiling patterns and reasons in telehealth care utilization and adoption/avoidance decisions
Background
The rapid expansion of telehealth, accelerated by the COVID-19 pandemic, has highlighted gaps in understanding demographic and health factors shaping its use. Exploring reasons behind individuals’ choices regarding telehealth can guide strategies to promote adoption among diverse populations.
Methods
Data from 5,119 participants in the 2022 Health Information National Trends Survey were analyzed. Dependent variables included telehealth usage and reasons for choosing or avoiding it. Independent variables included demographics, general health, and mental health. Associations were examined using multiple logistic regression models.
Results
Factors significantly associated with higher odds of telehealth use included education (college graduate: OR = 1.57, 95 % CI [1.19, 2.06]), gender (male: OR = 0.69, 95 % CI [0.55, 0.87]), rural residency (nonmetro: OR = 0.72, 95 % CI [0.53, 0.97]), depression (OR = 2.91, 95 % CI [2.29, 3.71]), age (e.g., 35–49: OR = 1.66, 95 % CI [1.2, 2.29]), and general health status (good: OR = 0.78, 95 % CI [0.61, 1], excellent or very good: OR = 0.74, 95 % CI [0.58, 0.95]). Older individuals preferred telehealth for convenience but inclined to avoid it in favor of in-person visits. Asian and other group were less likely to use telehealth for seeking advice and including others in visits.
Conclusions
Disparities in telehealth utilization were observed across gender, age, education, health status, and urbanization levels. Policymakers should focus on equitable delivery methods, updated regulatory frameworks, and reducing access disparities, especially in underserved communities.
期刊介绍:
International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings.
The scope of journal covers:
Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.;
Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc.
Educational computer based programs pertaining to medical informatics or medicine in general;
Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.