Utilization of health information technology among skin cancer patients: A cross-sectional study of the National Health Interview Survey from 2011-2018

Author(s):  
Thomas B. Cwalina ◽  
Tarun K. Jella ◽  
David X. Zheng ◽  
Raghav Tripathi ◽  
Melissa A. Levoska ◽  
...  
JMIR Diabetes ◽  
10.2196/27220 ◽  
2022 ◽  
Vol 7 (1) ◽  
pp. e27220
Author(s):  
Seamus Y Wang ◽  
Hsin-Chieh Yeh ◽  
Arielle Apfel Stein ◽  
Edgar R Miller

Background The use of health information technology (HIT) has been proposed to improve disease management in patients with type 2 diabetes mellitus. Objective This study aims to report the prevalence of HIT use in adults with diabetes in the United States and examine the factors associated with HIT use. Methods We analyzed data from 7999 adults who self-reported a diabetes diagnosis as collected by the National Health Interview Survey (2016-2018). All analyses were weighted to account for the complex survey design. Results Overall, 41.2% of adults with diabetes reported looking up health information on the web, and 22.8% used eHealth services (defined as filled a prescription on the web, scheduled an appointment with a health care provider on the web, or communicated with a health care provider via email). In multivariable models, patients who were female (vs male: prevalence ratio [PR] 1.16, 95% CI 1.10-1.24), had higher education (above college vs less than high school: PR 3.61, 95% CI 3.01-4.33), had higher income (high income vs poor: PR 1.40, 95% CI 1.23-1.59), or had obesity (vs normal weight: PR 1.11, 95% CI 1.01-1.22) were more likely to search for health information on the web. Similar associations were observed among age, race and ethnicity, education, income, and the use of eHealth services. Patients on insulin were more likely to use eHealth services (on insulin vs no medication: PR 1.21, 95% CI 1.04-1.41). Conclusions Among adults with diabetes, HIT use was lower in those who were older, were members of racial minority groups, had less formal education, or had lower household income. Health education interventions promoted through HIT should account for sociodemographic factors.


2021 ◽  
Author(s):  
Seamus Y Wang ◽  
Hsin-Chieh Yeh ◽  
Arielle Apfel Stein ◽  
Edgar R Miller

BACKGROUND The use of health information technology (HIT) has been proposed to improve disease management in patients with type 2 diabetes mellitus. OBJECTIVE This study aims to report the prevalence of HIT use in adults with diabetes in the United States and examine the factors associated with HIT use. METHODS We analyzed data from 7999 adults who self-reported a diabetes diagnosis as collected by the National Health Interview Survey (2016-2018). All analyses were weighted to account for the complex survey design. RESULTS Overall, 41.2% of adults with diabetes reported looking up health information on the web, and 22.8% used eHealth services (defined as filled a prescription on the web, scheduled an appointment with a health care provider on the web, or communicated with a health care provider via email). In multivariable models, patients who were female (vs male: prevalence ratio [PR] 1.16, 95% CI 1.10-1.24), had higher education (above college vs less than high school: PR 3.61, 95% CI 3.01-4.33), had higher income (high income vs poor: PR 1.40, 95% CI 1.23-1.59), or had obesity (vs normal weight: PR 1.11, 95% CI 1.01-1.22) were more likely to search for health information on the web. Similar associations were observed among age, race and ethnicity, education, income, and the use of eHealth services. Patients on insulin were more likely to use eHealth services (on insulin vs no medication: PR 1.21, 95% CI 1.04-1.41). CONCLUSIONS Among adults with diabetes, HIT use was lower in those who were older, were members of racial minority groups, had less formal education, or had lower household income. Health education interventions promoted through HIT should account for sociodemographic factors.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Sarnai Tsagaankhuu ◽  
Enkhdulguun Amgalan ◽  
Turtushikh Damba ◽  
Xinping Zhang

Background. The adoption of health information technology (HIT) is an important measure for improving healthcare quality and safety, which is affected by many hospital factors, but it has not yet been estimated in the Mongolian hospital sectors. This study examines how hospitals’ organisational and geographical characteristics influence the adoption of HIT in Mongolian tertiary and secondary care hospitals. Methods. А cross-sectional study involving the executive directors and medical equipment engineers was conducted in 39 hospitals. Data acquired from questionnaires are (1) hospitals’ organisational and geographical characteristics, including bed-size capacity, ownership type, status, and location of the hospitals, and (2) the adoption rate of HIT, and its categories are based on the Health Information and Management Systems Society’s classification (2002). The dependent variable was measured as numbers and the rate of HIT programs adopted clinical, administrative, and strategic information technologies (IT). A regression analysis was used to estimate the factors of impact on the adoption of clinical, administrative, and strategic IT. Results. We found a concerning relationship between the characteristics and adoption of HITs. On average, the number of HIT programs adopted was 18, covering nine clinical IT programs, six administrative IT programs, and three strategic IT programs. The adoption rate of overall HIT was 33.29% in the hospitals. In regression analysis, the organisational and geographical characteristics’ impact and HIT adoption of hospitals was positively associated with large bed-size (clinical IT: β = 0.256, P < 0.001 ; administrative IT: β = 0.3654, P < 0.001 ; strategic IT: β = 0.0006, P < 0.001 ), for-profit (strategic IT: β = 0.1995, P < 0.01 ), teaching (clinical IT: β = 0.2560, P < 0.05 ; administrative IT: β = 0.1985, P < 0.05 ; strategic IT: β = 0.2236, P < 0.01 ), and urban location (clinical IT: β = 0.2840, P < 0.001 , administrative IT: β = 0.2256, P < 0.01 ; strategic IT: β = 0.2256, P < 0.001 ). Conclusion. Our study found that the HIT adoption rate in Mongolia is poor, and its adoption is mainly positively associated with bed-size capacity, status, and location of the hospitals. Also, we found that the ownership type is partially affected HIT adoption.


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