Use of Digital Health Information for Health Information Seeking Among Men Living With Chronic Disease: Data From the Health Information National Trends Survey

Abstract

Although diabetes education plays an important role in self-management for people living with diabetes, male health “help-seeking” lags far behind women. These gender-related “help-seeking” disparities often result in males being less engaged in their health care, which subsequently leads to poorer health outcomes among males. In this cross-sectional study, we used data from the 2017 Health Information National Trends Survey (HINTS) to identify factors that may contribute to communication inequalities between males and females. A hierarchical {linear/logistic} regression model was used to examine factors associated with online health information seeking among males living with diabetes. The results suggest that education, income, age, identifying as Hispanic, being a smoker, using a device to track progress toward a health-related goal, and using device to seek health information were all related to eHealth sum scores. Future research should consider testing applications among various at-risk groups to determine if the technology itself is becoming a barrier to eHealth.

Patterns and Influencing Factors of eHealth Tools Adoption Among Medicaid and Non-Medicaid Populations From the Health Information National Trends Survey (HINTS) 2017-2019: Questionnaire Study

“…Females had a significantly higher probability of using ePHI online management compared to males [ 22 , 23 ], but there is no significant difference in online patient-provider communication [ 5 , 23 ]. Income level was reported to be positively associated with eHealth sum score, a composite score representative of using technology to access health care [ 22 , 24 ].…”

Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey

“…Despite the evidence documenting the effectiveness of internet-based interventions in improving chronic disease outcomes and the wealth of health information available, access and uptake of health information remains a challenge, thus potentially increasing health disparities across race/ethnicity, socioeconomic status, and language [ 12 , 13 , 14 , 15 , 16 ]. In particular, studies have observed gaps in internet use for specific health outcomes (e.g., cancer, cardiovascular disease) across race/ethnicity, age, and gender [ 17 , 18 , 19 , 20 , 21 , 22 ]. A secondary analysis of data from the Pew Research Center observed that racial and ethnic minority groups were more likely to contribute to COVID-19 content on social media [ 14 ].…”

Carga de trabalho numa unidade de internamento hospitalar de acordo com o Nursing Activities Score

“…Um estudo americano realizado com 1.254 homens mostrou que a população masculina está mais hesitante em procurar serviços de saúde numa base preventiva, o que no futuro resultará em problemas de saúde nestes indivíduos. O estudo revelou ainda que a maioria dos indivíduos eram hipertensos, diabéticos, obesos e tinham problemas cardíacos (Sherman, Patterson, Tomar, & Wigfall, 2020). Outro dado importante apontado na presente investigação está relacionado com a elevada taxa de pacientes com DM e/ou HAS como comorbilidade antes do internamento.…”

“…Foi também identificada uma associação significativa entre os doentes colonizados com GMR e o NAS médio, o NAS no primeiro dia e o NAS do último dia de internamento, respectivamente (56,8 p < 0,000; 73,1 p < 0,000; e 66,2 p < 0,02). Num estudo retrospetivo realizado em nove unidades de cardiologia intensivas, a partir de um hospital público, de elevada complexidade, com uma amostra de 835 doentes (Sherman et al, 2020), observou-se que a carga de trabalho medida pelo NAS não influenciou a ocorrência de infeções relacionadas com cuidados de saúde nas unidades de cardiologia intensivas investigadas.…”