Care Partner Engagement in Secure Messaging Between Patients With Diabetes and Their Clinicians: Cohort Study

BACKGROUND

Patient engagement with secure messaging (SM) via digital patient portals has been associated with improved diabetes outcomes, including increased patient satisfaction and better glycemic control. Yet, disparities in SM uptake exist among older patients and racial and ethnic underserved groups. Care partners (family members or friends) may provide a means for mitigating these disparities; however, it remains unclear whether and to what extent care partners might enhance SM use.

OBJECTIVE

We aim to examine whether SM use differs among older patients with diabetes based on the involvement of care partner proxies.

METHODS

This is a substudy of the ECLIPPSE (Employing Computational Linguistics to Improve Patient-Provider Secure Emails) project, a cohort study taking place in a large, fully integrated health care delivery system with an established digital patient portal serving over 4 million patients. Participants included patients with type 2 diabetes aged ≥50 years, newly registered on the patient portal, who sent ≥1 English-language message to their clinician between July 1, 2006, and December 31, 2015. Proxy SM was identified by having a registered proxy. To identify nonregistered proxies, a computational linguistics algorithm was applied to detect words and phrases more likely to appear in proxy messages compared to patient-authored messages. The primary outcome was the annual volume of secure messages (sent or received); secondary outcomes were the length of time to the first SM sent by patient or proxy and the number of annual SM exchanges (unique message topics generating ≥1 reply).

RESULTS

The mean age of the cohort (N=7659) at this study's start was 61 (SD 7.16) years; 75% (n=5573) were married, 15% (n=1089) identified as Black, 10% (n=747) Chinese, 12% (n=905) Filipino, 13% (n=999) Latino, and 30% (n=2225) White. Further, 49% (n=3782) of patients used a proxy to some extent. Compared to nonproxy users, proxy users were older (P<.001), had lower educational attainment (P<.001), and had more comorbidities (P<.001). Adjusting for patient sociodemographic and clinical characteristics, proxy users had greater annual SM volume (20.7, 95% CI 20.2-21.2 vs 10.9, 95% CI 10.7-11.2; P<.001), shorter time to SM initiation (hazard ratio vs nonusers: 1.30, 95% CI 1.24-1.37; P<.001), and more annual SM exchanges (6.0, 95% CI 5.8-6.1 vs 2.9, 95% CI 2.9-3.0, P<.001). Differences in SM engagement by proxy status were similar across patient levels of education, and racial and ethnic groups.

CONCLUSIONS

Among a cohort of older patients with diabetes, proxy SM involvement was independently associated with earlier initiation and increased intensity of messaging, although it did not appear to mitigate existing disparities in SM. These findings suggest care partners can enhance patient-clinician telecommunication in diabetes care. Future studies should examine the effect of care partners' SM involvement on diabetes-related quality of care and clinical outcomes.

Real-world evaluation of sodium-glucose co-transporter-2 inhibitors and dipeptidyl peptidase-4 inhibitors for managing type 2 diabetes mellitus: a retrospective multi-ethnic cohort study

Abstract

Purpose

Sodium-glucose co-transporter-2 (SGLT2) inhibitors and dipeptidyl peptidase-4 (DPP4) inhibitors are increasingly used as second-line therapies in patients with type 2 diabetes. The aim of this study was to assess the real-world effects of SGLT2 inhibitors in a multi-ethnic population in Singapore.

Methods

This retrospective cohort study examined patients diagnosed with and treated for diabetes from the Ministry of Health’s administrative database. Differences in outcomes between treatment groups were assessed using Poisson regression. Demographics, clinical characteristics, previous diagnoses and hospitalisations, and diabetes medication history were used for propensity score matching. Subgroup analyses by ethnicity were performed. Effect size was estimated using risk ratios (RRs) with 95% confidence intervals (CIs).

Results

Patients initiating SGLT2 inhibitors were more likely to achieve glycaemic control target than DPP4 inhibitor-treated patients (RR 1.09; 95% CI 1.04, 1.14). This was observed only in patients of Chinese ethnicity. A higher risk of diabetic ketoacidosis in SGLT2 inhibitor initiators was not observed. SGLT2 inhibitors were associated with reduced risk of hypoglycaemia (RR 0.69; 95% CI 0.59, 0.82) and urinary tract infection (RR 0.52; 95% CI 0.43, 0.63) but was not statistically significant for hypoglycaemia in Malay patients. Compared to DPP4 inhibitors, SGLT2 inhibitors were associated with 12% and 34% reduction in any-cause hospitalisation and all-cause mortality, respectively, potentially resulting in more than $50 million savings over 10 years.

Conclusion

SGLT2 inhibitors were associated with improvements in glycaemic control, reduced risk of complications, and was well tolerated. Ethnicity also plays a role and should be considered in future studies.

Factors influencing variation in participation in the National Diabetes Audit and the impact on the Quality and Outcomes Framework indicators of diabetes care management

OBJECTIVE

Participation in the National Diabetes Audit (NDA) has become a contractual requirement for all general practices in England and is used as part of the assessment framework for sustainability and transformation partnership (STP) footprints. The study aimed to investigate general practice-related factors which may influence participation in the NDA, and the impact that participation in the NDA may have on diabetes management and patient care.

RESEARCH DESIGN

A cross-sectional analysis of routine primary care data from 45 725 646 patients aged 17+ years registered across 7779 general practices in England was performed using logistic regression. The main outcome measures included general practice voluntary participation in the NDA, general practice-related factors (practice size, deprivation, diabetes prevalence, geographic area, practice population age) and diabetes management outcomes (cholesterol, blood pressure, hemoglobin A1c (HbA1c)).

RESULTS

Participation in the NDA differed significantly according to practice size (t(7653)=-9.93, p=0.001), level of deprivation (χ²(9)=36.17, p<0.0001), diabetes prevalence (p<0.0001), practice population age (p<0.0001), and geographic area (χ²(26)=676.9, p<0.0001). In addition, the Quality and Outcomes Framework diabetes indicator HbA1c (OR 1.01, CI 1.0 to 1.01, p=0.0001) but not cholesterol (p=0.055) or blood pressure (p=0.76) was independently associated with NDA participation when controlling for practice-related factors.

CONCLUSION

Variation in NDA participation exists. It is suggested that some practices may need additional support when submitting data to the NDA and that NDA participation may have an impact on diabetes outcomes. However, the use of NDA outcomes as a measure of progress with diabetes care by STPs is still unclear and further investigation is needed.

Motivational interviewing to improve diabetes outcomes in African Americans adults with diabetes

The purpose of this study was to determine the effect of a motivational interviewing intervention (MII) on regimen adherence and diabetes markers among African Americans with diabetes. Sixty-two participants were assigned to the usual care (UC; n = 36) or MII (n = 26) groups. UC participants received the usual clinic care. MII participants received a maximum of six motivational interviewing (MI) sessions over 3 months. Outcome variables were obtained at baseline and 3-month follow-up. Data were obtained using medical records, self-reports, and glucose monitor and accelerometer print-outs. MII significantly increased the odds of participants adhering to recommended physical activity level (66.7% vs. 38.8%, odds ratio = 2.92, 95% confidence interval = [1.6, 14.3], p = .018) and significantly decreased glucose levels (p = .043) and body mass index (p = .046) over time when compared with UC. Findings support using MI as an intervention for improving health outcomes and regimen adherence rates among the study population.