Digital Diabetes Care System Observations from a Pilot Evaluation Study in Vietnam

Mobile Health Interventions to Improve Health Behaviors and Healthcare Services among Vietnamese Individuals: A Systematic Review

The purpose of this review is to summarize the feasibility, acceptability, and efficacy of interventions that utilize mobile health (mHealth) technology to promote health behavior changes or improve healthcare services among the Vietnamese population. Ovid MEDLINE, CINAHL, EMBASE, Scopus, and Web of Science were used to identify studies published from 2011-2022. Studies utilizing mHealth to promote behavior change and/or improve healthcare services among Vietnamese were included. Studies that included Vietnamese people among other Asians but did not analyze the Vietnamese group separately were excluded. Three independent researchers extracted data using Covidence following PRISMA guidelines. Measures of feasibility, acceptability, and efficacy were synthesized. The ROBINS-I and RoB2 tools were used to evaluate methodological quality. Fourteen articles met inclusion criteria and included 5660 participants. Participants rated high satisfaction, usefulness, and efficacy of mHealth interventions. Short message service was most frequently used to provide health education, support smoking cessation, monitor chronic diseases, provide follow-up, and manage vaccination. Measures of feasibility, acceptability, and efficacy varied across studies; overall findings indicated that mHealth is promising for promoting lifestyle behavior change and improving healthcare services. Cost effectiveness and long-term outcomes of mHealth interventions among the Vietnamese population are unknown and merit further research. Recommendations to integrate mHealth interventions are provided to promote the health of Vietnamese people.

New digital health technologies for insulin initiation and optimization for people with type 2 diabetes

OBJECTIVE

The health and economic burden of type 2 diabetes (T2D) is of global significance. Many people with T2D eventually need insulin to help reduce their risk of serious associated complications. However, barriers in initiating and/or optimizing insulin expose people with diabetes to sustained hyperglycemia. In this review, we investigate how new and future technologies may provide opportunities to help overcome barriers to insulin initiation and/or optimization.

METHODS

A focused literature search of PubMed and key scientific congresses was conducted. Software tools and devices developed to support insulin initiation and/or optimization were identified by manually filtering over 300 publications and conference abstracts.

RESULTS

Most software tools have been developed for a smartphone platform. At present, published data suggest that use of these technologies is associated with equivalent or improved glycemic outcomes compared with standard care with additional benefits such as reduced healthcare provider (HCP) time burden and improved diabetes knowledge. However, there remains a paucity of good quality evidence. Most new devices to support insulin therapy help track the dose and timing of insulin use.

CONCLUSIONS

New digital health tools may help to reduce barriers to optimal insulin therapy. An integrated solution that connects glucose monitoring, dose recording, titration advice, and records comorbidities and lifestyle factors has the potential to reduce the complexity and burden of treatment and may improve titration and treatment adherence, resulting in better outcomes for people with diabetes.

Chronic Pain and Quality of Life in Maintenance Hemodialysis Patients in China: A Multicenter, Cross-Sectional Study

Purpose

Patients undergoing maintenance hemodialysis (MHD) frequently experience chronic pain, which can severely affect their quality of life (QOL). The objective of this study was to evaluate the prevalence of chronic pain in MHD patients and examine the factors associated with QOL.

Patients and Methods

A cross-sectional questionnaire-based survey was conducted between October 2020 and April 2021, 1204 MHD patients from nine hemodialysis units were screened for chronic pain in Chengdu, China, and 296 MHD patients with chronic pain were enrolled in this study. We analyzed data on clinicodemographic characteristics, pain interference and severity (Brief Pain Inventory), QOL (Medical Outcomes Study 36-item Short Form Health Survey - mental component summary [MCS] and physical component summary [PCS]), pain self-efficacy (Pain Self-Efficacy Questionnaire), and social support (Social Support Rating Scale).

Results

The prevalence of chronic pain in MHD patients was 26.74% in this study. The most common areas of pain were lower back (63.5%), lower limbs (55.0%), and head (33.5%), 36.5% did not implement any measures to relieve it. Of the patients who did receive pain treatment or medication, 56.9% reported that the measures they took had less than half of the pain relief. MHD patients with chronic pain had poor QOL based on scores on the MCS (53 ± 16.76) and PCS (40.56 ± 13.81). Stepwise multiple regression identified age, financial strain, pain interference, social support, and pain self-efficacy as independent predictors of QOL. Pain self-efficacy was significantly associated with social support (r = 0.5, p < 0.01), MCS (r = 0.69, p < 0.01), and PCS (r = 0.8, p < 0.01). The mediating effects of pain self-efficacy were 70.31% on the relationship between social support and MCS, and 75.62% on the relationship between social support and PCS.

Conclusion

Chronic pain is prevalent and undermanaged in Chinese MHD patients, resulting in worse QOL. Healthcare providers should focus on pain management and the impact of psychosocial factors on patient QOL. Further research should deepen our understanding of how pain self-efficacy mediates the relationship between social support and QOL.