scholarly journals Trends in the rates of health-care providers’ recommendation for HPV vaccine from 2012 to 2018: a multi-round cross-sectional analysis of the health information national trends survey

2021 ◽  
pp. 1-9
Author(s):  
Joël Fokom Domgue ◽  
Robert K. Yu ◽  
Sanjay Shete
Keyword(s):  
Health Care ◽  
Health Information ◽  
Health Care Providers ◽  
Hpv Vaccine ◽  
Care Providers ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
National Trends ◽  
Sectional Analysis ◽  
Round Cross

Digital Health Engagement in the US Population: Insights From the 2018 Health Information National Trends Survey

2021 ◽  
pp. e1-e4
Author(s):  
Chelsea L. Ratcliff ◽  
Melinda Krakow ◽  
Alexandra Greenberg-Worisek ◽  
Bradford W. Hesse
Keyword(s):  
Public Health ◽  
Health Information ◽  
Health Care Providers ◽  
Digital Health ◽  
Smart Device ◽  
P Value ◽  
Care Providers ◽  
Cross Sectional ◽  
The Us ◽  
National Trends

Objectives. To examine prevalence and predictors of digital health engagement among the US population. Methods. We analyzed nationally representative cross-sectional data on 7 digital health engagement behaviors, as well as demographic and socioeconomic predictors, from the Health Information National Trends Survey (HINTS 5, cycle 2, collected in 2018; n = 2698–3504). We fitted multivariable logistic regression models using weighted survey responses to generate population estimates. Results. Digitally seeking health information (70.14%) was relatively common, whereas using health apps (39.53%) and using a digital device to track health metrics (35.37%) or health goal progress (38.99%) were less common. Digitally communicating with one’s health care providers (35.58%) was moderate, whereas sharing health data with providers (17.20%) and sharing health information on social media (14.02%) were uncommon. Being female, younger than 65 years, a college graduate, and a smart device owner positively predicted several digital health engagement behaviors (odds ratio range = 0.09–4.21; P value range < .001–.03). Conclusions. Many public health goals depend on a digitally engaged populace. These data highlight potential barriers to 7 key digital engagement behaviors that could be targeted for intervention. (Am J Public Health. Published online ahead of print May 20, 2021: e1–e4. https://doi.org/10.2105/AJPH.2021.306282 )

scholarly journals Health literacy levels of British adults: a cross-sectional survey using two domains of the Health Literacy Questionnaire (HLQ)

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Rebecca M. Simpson ◽  
Emma Knowles ◽  
Alicia O’Cathain
Keyword(s):  
Health Care ◽  
Health Literacy ◽  
Health Information ◽  
Health Care Providers ◽  
Health Condition ◽  
Population Characteristics ◽  
Care Providers ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Health Literacy Questionnaire

Abstract Background A person’s health literacy determines whether they are able to make appropriate health decisions and are able to follow treatment instructions. This is important because low health literacy is associated with mortality and extra costs to the healthcare system. Our aim was to describe the health literacy levels of British adults using a nationally representative population survey, and show how health literacy levels vary by population characteristics. Methods A population based cross-sectional survey including questions from two domains from the Health Literacy Questionnaire™: 1) Understanding health information well enough to know what to do, and 2) Ability to actively engage with health care providers. Both domains are made up of 5 Likert style questions with 5 levels ranging from ‘cannot do or always difficult’ (1) to ‘always easy’ (5). The survey was conducted by NatCen in Britain (2018) as part of the annual British Social Attitudes survey. We used weighted descriptive analyses and regression to explore the relationship between population characteristics and health literacy. Weighted analyses were used to ensure the sample was representative of the British population. Results A total of 2309 responded to the questionnaire. The mean score for ‘understanding information’ was 3.98 (95% CI: 3.94, 4.02) and for ‘ability to engage’ was 3.83 (95% CI: 3.80, 3.87), where 5 is the highest score. 19.4% had some level of difficulty reading and understanding written health information, and 23.2% discussing health concerns with health care providers. The adjusted logistic regression for ‘understanding information’ showed that those with lower health literacy were more likely to be in the most socially deprived quintile (OR 2.500 95% CI: 1.180, 5.296), have a limiting health condition or disability (OR 4.326 95% CI: 2.494, 7.704), and have no educational qualifications (OR 7.588 95% CI: 3.305, 17.422). This was similar for the ‘ability to engage’ domain. Conclusions This study described the distribution of health literacy levels for the British population in 2018. Interventions to improve health literacy will best be targeted at those with lower levels of education, those living in the most deprived areas, and those with a limiting health condition or disability.

scholarly journals Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey

10.2196/24767 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e24767
Author(s):  
Safa Elkefi ◽  
Zhongyuan Yu ◽  
Onur Asan
Keyword(s):  
Health Care ◽  
Health Information ◽  
Medical Record ◽  
Health Care Providers ◽  
Medical Records ◽  
Health Care Disparities ◽  
Care Providers ◽  
Chi Square ◽  
National Trends ◽  
Privacy Issues

Background Online medical records are being used to organize processes in clinical and outpatient settings and to forge doctor-patient communication techniques that build mutual understanding and trust. Objective We aimed to understand the reasons why patients tend to avoid using online medical records and to compare the perceptions that patients have of online medical records based on demographics and cancer diagnosis. Methods We used data from the Health Information National Trends Survey Cycle 3, a nationally representative survey, and assessed outcomes using descriptive statistics and chi-square tests. The patients (N=4328) included in the analysis had experienced an outpatient visit within the previous 12 months and had answered the online behavior question regarding their use of online medical records. Results Patients who were nonusers of online medical records consisted of 58.36% of the sample (2526/4328). The highest nonuser rates were for patients who were Hispanic (460/683, 67.35%), patients who were non-Hispanic Black (434/653, 66.46%), and patients who were older than 65 years (968/1520, 63.6%). Patients older than 65 years were less likely to use online medical records (odds ratio [OR] 1.51, 95% CI 1.24-1.84, P<.001). Patients who were White were more likely to use online medical records than patients who were Black (OR 1.71, 95% CI 1.43-2.05, P<.001) or Hispanic (OR 1.65, 95% CI 1.37-1.98, P<.001). Patients who were diagnosed with cancer were more likely to use online medical records compared to patients with no cancer (OR 1.31, 95% CI 1.11-1.55, 95% CI 1.11-1.55, P=.001). Among nonusers, older patients (≥65 years old) preferred speaking directly to their health care providers (OR 1.76, 95% CI 1.35-2.31, P<.001), were more concerned about privacy issues caused by online medical records (OR 1.79, 95% CI 1.22-2.66, P<.001), and felt uncomfortable using the online medical record systems (OR 10.55, 95% CI 6.06-19.89, P<.001) compared to those aged 18-34 years. Patients who were Black or Hispanic were more concerned about privacy issues (OR 1.42, 1.09-1.84, P=.007). Conclusions Studies should consider social factors such as gender, race/ethnicity, and age when monitoring trends in eHealth use to ensure that eHealth use does not induce greater health status and health care disparities between people with different backgrounds and demographic characteristics.

scholarly journals Growth Dynamics of Patient-Provider Internet Communication: Trend Analysis Using the Health Information National Trends Survey (2003 to 2013) (Preprint)

2017 ◽  
Author(s):  
Will L Tarver ◽  
Terri Menser ◽  
Bradford W Hesse ◽  
Tyler J Johnson ◽  
Ellen Beckjord ◽  
...  
Keyword(s):  
Health Care ◽  
Health Information ◽  
Health Care Providers ◽  
Provider Communication ◽  
Care Providers ◽  
Internet Users ◽  
Patient Provider Communication ◽  
Trends Over Time ◽  
National Trends ◽  
Over Time

BACKGROUND Communication is key in chronic disease management, and the internet has altered the manner in which patients and providers can exchange information. Adoption of secure messaging differs among patients due to the digital divide that keeps some populations from having effective access to online resources. OBJECTIVE This study aimed to examine the current state of online patient-provider communication, exploring trends over time in the use of online patient-provider communication tools. METHODS A 3-part analytic process was used to study the following: (1) reanalysis, (2) close replication across years, and (3) trend analysis extension. During the reanalysis stage, the publicly available Health Information National Trends Survey (HINTS) 1 and 2 data were used with the goal of identifying the precise analytic methodology used in a prior study, published in 2007. The original analysis was extended to add 3 additional data years (ie, 2008, 2011, and 2013) using the original analytical approach with the purpose of identifying trends over time. Multivariate logistic regression was used to analyze pooled data across all years, with year as an added predictor, in addition to a model for each individual data year. RESULTS The odds of internet users to communicate online with health care providers was significantly and increasingly higher year-over-year, starting in 2003 (2005: odds ratio [OR] 1.31, 95% CI 1.03-1.68; 2008: OR 2.14, 95% CI 1.76-2.59; 2011: OR 2.92, 95% CI 2.33-3.66; and 2013: OR 5.77; 95% CI 4.62-7.20). Statistically significant socio-economic factors found to be associated with internet users communicating online with providers included age, having health insurance, having a history of cancer, and living in an urban area of residence. CONCLUSIONS The proportion of internet users communicating online with their health care providers has significantly increased since 2003. Although these trends are encouraging, access challenges still exist for some groups, potentially giving rise to a new set of health disparities related to communication.

scholarly journals Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey (Preprint)

2020 ◽  
Author(s):  
Safa Elkefi ◽  
Zhongyuan Yu ◽  
Onur Asan
Keyword(s):  
Health Care ◽  
Health Information ◽  
Medical Record ◽  
Health Care Providers ◽  
Medical Records ◽  
Health Care Disparities ◽  
Care Providers ◽  
Chi Square ◽  
National Trends ◽  
Privacy Issues

BACKGROUND Online medical records are being used to organize processes in clinical and outpatient settings and to forge doctor-patient communication techniques that build mutual understanding and trust. OBJECTIVE We aimed to understand the reasons why patients tend to avoid using online medical records and to compare the perceptions that patients have of online medical records based on demographics and cancer diagnosis. METHODS We used data from the Health Information National Trends Survey Cycle 3, a nationally representative survey, and assessed outcomes using descriptive statistics and chi-square tests. The patients (N=4328) included in the analysis had experienced an outpatient visit within the previous 12 months and had answered the online behavior question regarding their use of online medical records. RESULTS Patients who were nonusers of online medical records consisted of 58.36% of the sample (2526/4328). The highest nonuser rates were for patients who were Hispanic (460/683, 67.35%), patients who were non-Hispanic Black (434/653, 66.46%), and patients who were older than 65 years (968/1520, 63.6%). Patients older than 65 years were less likely to use online medical records (odds ratio [OR] 1.51, 95% CI 1.24-1.84, <i>P</i>&lt;.001). Patients who were White were more likely to use online medical records than patients who were Black (OR 1.71, 95% CI 1.43-2.05, <i>P</i>&lt;.001) or Hispanic (OR 1.65, 95% CI 1.37-1.98, <i>P</i>&lt;.001). Patients who were diagnosed with cancer were more likely to use online medical records compared to patients with no cancer (OR 1.31, 95% CI 1.11-1.55, 95% CI 1.11-1.55, <i>P</i>=.001). Among nonusers, older patients (≥65 years old) preferred speaking directly to their health care providers (OR 1.76, 95% CI 1.35-2.31, <i>P</i>&lt;.001), were more concerned about privacy issues caused by online medical records (OR 1.79, 95% CI 1.22-2.66, <i>P</i>&lt;.001), and felt uncomfortable using the online medical record systems (OR 10.55, 95% CI 6.06-19.89, <i>P</i>&lt;.001) compared to those aged 18-34 years. Patients who were Black or Hispanic were more concerned about privacy issues (OR 1.42, 1.09-1.84, <i>P</i>=.007). CONCLUSIONS Studies should consider social factors such as gender, race/ethnicity, and age when monitoring trends in eHealth use to ensure that eHealth use does not induce greater health status and health care disparities between people with different backgrounds and demographic characteristics. CLINICALTRIAL

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