Development and Usability of the OHiFamily Mobile App to Enhance Accessibility to Maternal and Infant Information for Expectant Families in Ohio: Qualitative Study.

Background: The Infant Mortality Research Partnership in Ohio is working to help pregnant individuals and families on Medicaid who are at risk for infant mortality and preterm birth. As part of this initiative, researchers at The Ohio State University worked to develop a patient-facing mobile app, OHiFamily, targeted toward, and created for, this population. To address the social determinants of health that can affect maternal and infant health, the app provides curated information on community resources, health care services, and educational materials in a format that is easily accessible and intended to facilitate contact between families and resources.

Does Climate Change Affect Health? Beliefs from the Health Information National Trends Survey.

Climate change is currently and will continue impacting human health, however, beliefs about the level of threat vary by demographics, region, and ideology. The purpose of this study was to assess factors related to climate change and health beliefs using cross-sectional data from the Health Information National Trends Survey (HINTS). Data from 5,075 respondents in the 2022 iteration of HINTS was used for this study.

Diversity of Participation in Clinical Trials and Influencing Factors: Findings from the Health Information National Trends Survey 2020.

Background: Clinical trial diversity is critical to advance health and health equity. Research addressing the discrepancy between goals of achieving clinical trial diversity and realities of study enrollment remains underdeveloped.

Objective: This study aims to examine the association between race/ethnicity and clinical trial invitation, participation, knowledge, and sources of influence on clinical trial participation.

Attitudes towards and sociodemographic determinants of genetic test usage in the USA; data from the Health Information National Trend Survey, 2020.

The purpose of this study was to examine the trends in who obtains genetic tests, and opinions about how genes affect health. Cross-sectional survey data from Health Information National Trends Survey (HINTS) 5, Cycle 4 was used. This data was collected from adults 18 years of age or older who completed mailed surveys sent by the National Cancer Institute between January and April 2020.

Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation.

Background: Efforts to address infant mortality disparities in Ohio have historically been adversely affected by the lack of consistent data collection and infrastructure across the community-based organizations performing front-line work with expectant mothers, and there is no established template for implementing such systems in the context of diverse technological capacities and varying data collection magnitude among participating organizations.

Methods: Taking into account both the needs and limitations of participating community-based organizations, we created a data collection infrastructure that was refined by feedback from sponsors and the organizations to serve as both a solution to their existing needs and a template for future efforts in other settings.

Results: By standardizing the collected data elements across participating organizations, integration on a scale large enough to detect changes in a rare outcome such as infant mortality was made possible.

Patient Portals: Useful for Whom and for What? A Cross-Sectional Analysis of National Survey Data.

Background: Patients who use patient portals may be more engaged and empowered in their care; however, differences in who accesses patient portals remain. The characteristics of who uses patient portals more frequently and who perceives them as useful may also differ, as well as which functions people use.

Objective: We assessed the characteristics of patient portal users to examine who uses them more frequently and who perceives them as useful.

Socioeconomic Factors Influence Health Information Seeking and Trust Over Time: Evidence From a Cross-Sectional, Pooled Analyses of HINTS Data.

Purpose: Assessed socioeconomic factors in health information seeking behavior and trust of information sources from 2007 to 2017.

Design: Pooled cross-sectional survey data.

Setting: Health Information National Trends Survey.

U.S. COVID-19 State Government Public Dashboards: An Expert Review.

Background: In the United States, all 50 state governments deployed publicly viewable dashboards regarding the novel coronavirus disease 2019 (COVID-19) to track and respond to the pandemic. States dashboards, however, reflect idiosyncratic design practices based on their content, function, and visual design and platform. There has been little guidance for what state dashboards should look like or contain, leading to significant variation.

Visualizing Opportunity Index Data Using a Dashboard Application: A Tool to Communicate Infant Mortality-Based Area Deprivation Index Information.

Background: An area deprivation index (ADI) is a geographical measure that accounts for socioeconomic factors (e.g., crime, health, and education).

Persistent digital divide in health-related internet use among cancer survivors: findings from the Health Information National Trends Survey, 2003-2018.

Purpose: Prior research on the use of the internet among cancer survivors indicates a digital divide. The online landscape and patterns of information consumption, however, have notably changed over the past decade necessitating an updated examination of health-related internet use (HRIU) among cancer survivors.

Methods: Using survey data from 2003, 2005, 2007, 2011, 2013, 2017, and 2018 Health Information National Trends Survey (HINTS) iterations, the objectives of this study were to report prevalence, trends, and user profiles in HRIU in terms of emailing doctors, buying medicine online, and support group participation.

Differences Between Races in Health Information Seeking and Trust Over Time: Evidence From a Cross-Sectional, Pooled Analyses of HINTS Data.

Purpose: Assessed racial disparities in health information-seeking behavior and trust of information sources from 2007 to 2017.

Design: Pooled cross-sectional survey data.

Setting: Health Information National Trends Survey (HINTS).

The effect of cancer treatment summaries on patient-centered communication and quality of care for cancer survivors: A pooled cross-sectional HINTS analysis.

Objective: Provision of cancer treatment summaries to patients is recommended to improve patient-centered communication (PCC). The objective of this study is to assess relationships between cancer treatment summary receipt, PCC, and quality of care (QOC).

Methods: Linear and logistic regression of cross-sectional data from the Health Information National Trends Survey (HINTS) was conducted using data from years 2012, 2014, and 2017.

Odds of Meeting Cancer Prevention Behavior Recommendations by Health Information Seeking Behavior: a Cross-Sectional HINTS Analysis.

People who seek health information frequently may be more likely to meet health behavior goals; however, people use many different information sources. The purpose of this paper is to assess how different sources of health information influence likelihood of meeting cancer prevention behavior guidelines. Logistic regression of cross-sectional data from 6 years of the Health Information National Trends Survey (HINTS) was conducted.

Likelihood of Smoking Among Cancer Survivors: An Updated Health Information National Trends Survey Analysis.

Introduction: Cancer survivors are at high risk for cancer reoccurrence, highlighting the importance of managing behavioral risk factors for cancer. Despite this risk, many cancer survivors continue to smoke cigarettes. This article describes the relationship between smoking behavior and demographic and clinical factors in cancer survivors.

Effectiveness of an infant mortality prevention home-visiting program on high-risk births in Ohio.

Objectives: The Ohio Infant Mortality Reduction Initiative (OIMRI) is a home-visiting program that aims to reduce infant mortality among infants of high-risk black women. This study examined birth outcomes among OIMRI participants and compared program participants to matched non-OIMRI women.

Design: Program data were linked to birth records, death records, and Medicaid claims data.

Odds of talking to healthcare providers as the initial source of healthcare information: updated cross-sectional results from the Health Information National Trends Survey (HINTS).

Background: People use a variety of means to find health information, including searching the Internet, seeking print sources, and talking to healthcare providers, family members, and friends. Doctors are considered the most trusted source of health information, but people may be underutilizing them in favor of searching the Internet.

Methods: A multinomial logistic regression of cross-sectional data from Cycle 4 of the Health Information National Trends Survey (HINTS) was conducted.

Frequency of Diet and Physical Activity Goal Attainment and Barriers Encountered Among Adults With Type 2 Diabetes During a Telephone Coaching Intervention.

Participants with type 2 diabetes established personalized dietary and physical activity goals as behavioral strategies to reduce cardiovascular risk during a 16-week telephone coaching intervention. People were most likely to attain dietary goals that involved altering the intake of specific foods rather than certain nutrients and were more successful at physical activity goals to increase activity levels rather than to add new types of activity. Barriers to goal success included time management, physical limitations/illness, and social/cultural activities.

Impact of a goal setting and decision support telephone coaching intervention on diet, psychosocial, and decision outcomes among people with type 2 diabetes.

Objective: Evaluate a 16-week decision support and goal-setting intervention to compare diet quality, decision, and diabetes-related outcomes to a control group.

Methods: Adults with type 2 diabetes (n=54) were randomly assigned to an intervention or control group. Intervention group participants completed one in-person motivational interviewing and decision support session followed by seven biweekly telephone coaching calls.

Setting Single or Multiple Goals for Diet and Physical Activity Behaviors Improves Cardiovascular Disease Risk Factors in Adults With Type 2 Diabetes: A Pragmatic Pilot Randomized Trial.

Purpose: The purpose of this study was to evaluate a 4-month telephone-based goal-setting and decision support intervention among adults with type 2 diabetes mellitus (T2DM) and multiple risk factors for cardiovascular disease (CVD).

Methods: A randomized pretest-posttest control group design was employed. Overweight or obese adults aged 40 to 75 years with T2DM and ≥1 additional CVD risk factor were provided with individualized CVD risk information.