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Context: Given the dramatic rise in the incidence of type 2 diabetes mellitus (T2DM) in recent decades, identifying individuals at increased risk of T2DM and validating methods to reduce their risk of disease progression is important. With more than one-third of US adults having prediabetes, a more precise stratification of absolute risk of T2DM incidence would help in prioritizing prevention efforts. Objective: To develop a simple and clinically useful schema to stratify short-term (2-year) absolute risk of T2DM. Design: Observational study of more than 77,000 adult members (age 18-75 years) from 3 Regions of the Kaiser Foundation Health Plan with prediabetes (hemoglobin A1C [HbA1C] = 5.7%-6.4%). Main Outcome Measures: The 2-year probability for development of diabetes as a function of baseline HbA1C and body mass index (BMI). Results: The 2-year risk of diabetes diagnosis varied widely by HbA1C and BMI. A small subset (5.2%) had a very high risk of T2DM developing within 2 years. Another 13.3% had a moderate 2-year risk of T2DM, whereas most (81.5%) of the population was at much lower risk. Thus, most Kaiser Foundation Health Plan members with prediabetes have only modest risk of progression to T2DM within 2 years. Conclusion: Using HbA1C and BMI, we created a simple stratification scheme to more precisely estimate risk of T2DM incidence. This will enable more efficient assignment of prevention interventions and clinical and laboratory follow-up to the small subset at highest risk, while minimizing the potentially negative effects of overdiagnosis among the majority with prediabetes who are not at high short-term risk of T2DM. [ABSTRACT FROM AUTHOR]

BACKGROUND: The Diabetes Prevention Program (DPP) has been translated into digital formats. We report an economic evaluation of a digital DPP implemented in a large, integrated health care system. METHODS: Patients (n = 4148) were invited to participate in digital DPP based on clinical characteristics (HbA1c 5.7%-6.4% and body mass index = 30 kg/m2) assessed using electronic medical record data. Using a propensity score we matched (1:1) enrolled and not enrolled patients for a total of 784. We identified high-risk patients (ie, above the 50th percentile of risk; n = 202) by calculating each patient's 2-year of developing diabetes. We report the cost of the intervention and the costs of medical care over 12- and 24-month follow-up, and the incremental cost-effectiveness ratio as the cost per additional kilogram weight loss at 24 months. RESULTS: At 12 months, enrolled patients had lower total costs ($6,926, 95% CI $5,681-$8,171) than not enrolled patients ($7,538, 95% CI $6,293-$8,783). This pattern attenuated slightly at 24 months (enrolled = $16,255, 95% CI $14,097-$18,412; not enrolled = $16,688, 95% CI $14,531-$18,846). We found an incremental cost-effectiveness ratio of $81.92 per additional kilogram weight loss. For high-risk patients, the digital DPP group had, on average, lower costs and greater weight loss. We found a 55% chance of the digital DPP program being cost-effective at a willingness-to-pay of $150 per additional kilogram of weight loss; at the same willingness-to-pay, there is a 60% chance in the high-risk subgroup. Limitations include the nonrandomized design and potential volunteer bias. CONCLUSION: Digital DPP had a favorable cost-effectiveness profile compared to other lifestyle interventions. [ABSTRACT FROM AUTHOR]

INTRODUCTION: Implementation of a Diabetes Prevention Program (DPP) in both in-person and digital health-care settings has been increasing. The purpose of this article is to describe the protocol of a mixed-methods, natural experiment study designed to evaluate the implementation of DPP in a large, integrated health system. METHODS: Kaiser Permanente Northwest patients who were 19 to 75 years with prediabetes (hemoglobin A1c or glycated hemoglobin, 5.7-6.4) and obesity (body mass index = 30 kg/m2) were invited, via the Kaiser Permanente Northwest patient portal, to participate in the digital (n = 4124) and in-person (n = 2669) DPP during 2016 through 2018. Primary (weight) and secondary (hemoglobin A1c or glycated hemoglobin level) outcome data will be obtained from electronic health records. A cost-effectiveness analysis as well as qualitative interviews with patients (enrolled and not enrolled in the DPP) and stakeholders will be conducted to examine further implementation, acceptability, and sustainability. CONCLUSION: The mixed-methods, natural experiment design we will use to evaluate Kaiser Permanente Northwest's implementation of the digital and in-person DPP builds on existing evidence related to the effectiveness of these two DPP delivery modes and will contribute new knowledge related to best practices for implementing and sustaining the DPP within large health systems over the long term. [ABSTRACT FROM AUTHOR]

Context: There is little research investigating whether health information technologies, such as interactive voice recognition, are effective ways to deliver information to individuals with lower health literacy.Objective: Determine the extent to which the impact of an interactive voice recognition-based intervention to improve medication adherence appeared to vary by participants’ health literacy level.Design: Promoting Adherence to Improve Effectiveness of Cardiovascular Disease Therapies (PATIENT) was a randomized clinical trial designed to test the impact, compared with usual care, of 2 technology-based interventions that leveraged interactive voice recognition to promote medication adherence. A 14% subset of participants was sent a survey that included questions on health literacy. This exploratory analysis was limited to the 833 individuals who responded to the survey and provided data on health literacy.Main Outcome Measures: Adherence to statins and/or angiotensin-converting enzyme inhibitors and/or angiotensin II receptor blockers.Results: Although intervention effects did not differ significantly by level of health literacy, the data were suggestive of differential intervention effects by health literacy level.Conclusions: The differences in intervention effects for high vs low health literacy in this exploratory analysis are consistent with the hypothesis that individuals with lower health literacy may derive greater benefit from this type of intervention compared with individuals with higher health literacy. Additional studies are needed to further explore this finding. [ABSTRACT FROM AUTHOR]