Patient preferences and internet use for diabetes education differs by age

Educational preferences in individuals with cardiometabolic disease differs with age, ethnicity and educational status

OBJECTIVES

To evaluate how sociodemographic factors influence educational modality preferences in people with cardiometabolic disease.

METHODS

This was a cross-sectional study performed in people with diabetes and cardiovascular disease, who completed a questionnaire to denote their previous experience and ranked preferences for different educational modalities.

RESULTS

The questionnaire was completed by 3751 people, of whom 59% were men, median (interquartile range) age was 68 (59-76) years, and 78% were White European. In total, 73% had diabetes, 35% had heart disease, and 10% had history of stroke; the majority (83.4%) had one of these conditions. Overall preference was for one-to-one education (77% ranked first choice), and telephone education ranked the lowest. People tended to prefer modalities they had previously experienced.

CONCLUSIONS

We highlight the importance of considering factors that could influence selection of educational modalities including age, ethnicity, gender and educational level. We anticipate this approach will aid in the design, delivery and tailoring of educational programmes that are accessible to the diverse cohort of people living with chronic diseases, including diabetes and cardiovascular disease.

PRACTICE IMPLICATIONS

Given the influence of multiple demographic factors and previous experiences on expressed preferences, providers should support individuals to make informed decisions about educational interventions to maximise engagement.

Digital Information Technology Use and Patient Preferences for Internet-Based Health Education Modalities: Cross-Sectional Survey Study of Middle-Aged and Older Adults With Chronic Health Conditions

Background

Health information, patient education, and self-management (health information and advice, HIA) tools are increasingly being made available to adults with chronic health conditions through internet-based health and mobile health (mHealth) digital information technologies. However, there is limited information about patient preferences for using specific types of health information and advice resources and how preferences and usage differ by age group and education.

Objective

The objective of this study was to examine how use of digital information technologies and preferred methods for obtaining health information and advice varies by age group and education among middle-aged and older adults with chronic health conditions.

Methods

The study used cross-sectional survey data for 9005 Kaiser Permanente Northern California members aged 45 to 85 years who responded to a mailed and Web-based health survey conducted during 2014 and 2015 and indicated having at least 1 chronic health condition. Bivariate analyses and logistic regression models with weighted data were used to estimate and compare the prevalence of digital information technology use, past-year use of internet-based health information and advice resources, and preferences for using internet-based, mHealth, and traditional health information and advice modalities for adults aged 45 to 65 years, 66 to 75 years, and 76 to 85 years.

Results

The percentages of adults who used digital information technologies (computers, smartphones, internet, email, and apps), had obtained health information and advice from an internet-based resource in the past year, and who were interested in using internet-based and mHealth modalities for obtaining health information and advice declined with age. Within age group, prevalence of digital information technologies use and interest in internet-based and mHealth modalities was lower among adults with no college education versus college graduates. Differences in preferences for internet-based health information and advice modalities between the oldest and younger groups and those with lower versus higher education were substantially diminished when we restricted analyses to internet users.

Conclusions

Health care providers and organizations serving middle-aged and older adults with chronic health conditions should not assume that patients, especially those who are older and less educated, want to engage with internet-based and mHealth resources. In addition, increasing the engagement of nonutilizers of digital devices and the internet with internet-based health information and advice and mHealth apps might require both instrumental (eg, providing digital information technology devices, internet, and skills training) and social support. As part of patient-centered care, it is important for providers to ascertain their patients’ use of digital information technologies and preferences for obtaining health information and patient education rather than routinely referring them to internet-based resources. It is also important for health care providers and consumer health organizations to user test their Web-based resources to make sure they are easy for older and less educated adults to use and to make sure that it remains easy for adults with chronic conditions to obtain health information and patient education using offline resources.