Purpose: Detection and treatment of prediabetes is an effective strategy in diabetes prevention. However, most patients with prediabetes are not identified. Our objective was to evaluate the relationship between attitudes toward prediabetes as a clinical construct and screening/treatment behaviors for diabetes prevention among US family physicians.Methods: An electronic survey of a national sample of academic family physicians (n 1248) was conducted in 2016. Attitude toward prediabetes was calculated using a summated scale assessing agreement with statements regarding prediabetes as a clinical construct. Perceived barriers to diabetes prevention, current strategies for diabetes prevention, and perceptions of peers were also examined.Results Recent estimates suggest that the prevalence of prediabetes among the US adult population is 36%. Even though recommendations and other evidence suggest that detection and treatment of prediabetes is necessary, epidemiologic studies indicate that the vast majority of people with prediabetes are unaware that they have the condition. 10 Moreover, national estimates of ambulatory care indicate that even with current laboratory tests indicating hemoglobin A1c levels consistent with prediabetes (found in 34% of visits), adults have a very low likelihood of being diagnosed with prediabetes and this diagnosis noted in the medical record.11 Treatment (lifestyle modification counseling and/or metformin) was indicated in the medical record in 23.0% of those with diagnosed or undiagnosed prediabetes. 11This article was externally peer reviewed.

BackgroundApproximately 24 million Americans are living with diabetes. Patient activation among individuals with diabetes is critical to successful diabetes management. The Patient Centered Medical Home (PCMH) model holds promise for increasing patient activation in managing their health. However, what is not well understood is the extent to which individual components of the PCMH model, such as the quality of physician-patient interactions and organizational features of care, contribute to patient activation. This study’s objective is to determine the relative importance of the PCMH constructs or domains to patient activation among individuals living with diabetes.MethodsThis study is a cross-sectional analysis of 1253 primary care patients surveyed with type II diabetes. The dependent variable, patient activation, was assessed using the Patient Activation Measure (PAM). Independent variables included 7 PCMH domains- organizational access, integration of care, comprehensive knowledge, office staff helpfulness, communication, interpersonal treatment and trust. Ordered logistic regression was performed to determine whether each PCMH domain was independently associated with patient activation, followed by a final ordered logistic regression that included all the PCMH domains in a single adjusted model.ResultsUsing the full adjusted model, the odds of patients reporting higher activation scores (PAM) were found to be significant in the domains that represented organizational access (OR 1.56, 95% CI 1.31–1.85) and comprehensive knowledge (OR 1.44, 95% CI 1.13–1.85).ConclusionsMany practices have struggled with the challenge to develop fully functional patient-centered medical homes. In an effort to become more patient-centered, this study aimed to address what factors activated diabetic patients to adhere to diabetes management plan. Understanding these factors can help identify PCMH attributes that practices can prioritize and improve upon to assist their patients in improving health outcomes.Trial registrationStudy was not a clinical trial; therefore it was not registered.

This study demonstrates that not all PCMH clinics are alike and that these differences can possibly affect patient perceptions of their care.

Background As healthcare services are increasingly dependent on patient utilization of technology to effectively deliver services, the digital divide has the potential to exacerbate health disparities if health literacy and internet access present formidable barriers to patient use of technology. Methods We examined the differences in health literacy and internet access between lower and upper SES neighborhood primary-care clinics in Northeast Florida. The REALM-SF for health literacy was used to assess health literacy and census survey questions were used to assess internet and technology access, during the Fall, 2020. The clinics were affiliated with a safety-net hospital in a major city in Southeastern U.S. Results Analysis of key demographic data confirmed that the responding patients from economically disadvantaged neighborhood clinics resided in economically disadvantaged zip codes (307 responding patients lived in lower SES neighborhoods) and did have lower education levels (3% of the patients from Upper SES clinics had 11 grade or lower education, compared to 21%–29% of patients from Lower SES clinics). Patient health literacy significantly differed between clinics located in economically disadvantaged neighborhoods and clinics located in more affluent neighborhoods, with Upper SES clinics being 2.4 times more likely to have 9th grade or higher reading level. Access to internet technology was also higher in the Upper SES clinics, with 59% of respondents from Upper SES clinics versus 32%–40% from Lower SES clinics owning a computer or an IPAD. Conclusion Results of this study have important implications for patient-engaged use of digital technology for health. Healthcare and public health clinics should be aware of the difference in health literacy and internet access when implementing technology-based services, so that advances in medicine, including precision medicine and telehealth, can be disseminated and implemented with broad populations, including disadvantaged groups.