Behavior-Analytic Approaches to the Management of Diabetes Mellitus: Current Status and Future Directions

Management of type 2 diabetes in New Zealand: a scoping review of interventions with measurable clinical outcomes

OBJECTIVE

This review aimed to assess the effectiveness of interventions for type 2 diabetes (T2D) management in New Zealand on clinical outcomes, and explore the factors impacting their feasibility and acceptability.

STUDY DESIGN

Scoping review.

METHODS

Three databases (PubMed, Web of Science and Scopus) were searched between January 2000 and July 2023. Reference lists of included studies were hand searched to identify additional articles.

RESULTS

The search yielded 550 publications, of which 11 were included in the final review. Most interventions (n = 10) focussed on education and seven were delivered by health professionals. Supporting factors for interventions included clinical/peer support (n = 8) and whānau (family) involvement (n = 6). Hindering factors included non-adherence (n = 4) and high drop-out (n = 4). Most studies reported modest improvement in HbA1c and weight at six months, but minimal change in HbA1c, weight, lipids, renal profile, and blood pressure by two years.

CONCLUSION

Future interventions should involve culturally appropriate approaches to improve engagement and acceptability while addressing lifestyle and medication adherence for T2D management. T2D interventions not widely disseminated via academic channels need to be further identified.

The effectiveness of digital twins in promoting precision health across the entire population: a systematic review

Digital twins represent a promising technology within the domain of precision healthcare, offering significant prospects for individualized medical interventions. Existing systematic reviews, however, mainly focus on the technological dimensions of digital twins, with a limited exploration of their impact on health-related outcomes. Therefore, this systematic review aims to explore the efficacy of digital twins in improving precision healthcare at the population level. The literature search for this study encompassed PubMed, Embase, Web of Science, Cochrane Library, CINAHL, SinoMed, CNKI, and Wanfang Database to retrieve potentially relevant records. Patient health-related outcomes were synthesized employing quantitative content analysis, whereas the Joanna Briggs Institute (JBI) scales were used to evaluate the quality and potential bias inherent in each selected study. Following established inclusion and exclusion criteria, 12 studies were screened from an initial 1321 records for further analysis. These studies included patients with various conditions, including cancers, type 2 diabetes, multiple sclerosis, heart failure, qi deficiency, post-hepatectomy liver failure, and dental issues. The review coded three types of interventions: personalized health management, precision individual therapy effects, and predicting individual risk, leading to a total of 45 outcomes being measured. The collective effectiveness of these outcomes at the population level was calculated at 80% (36 out of 45). No studies exhibited unacceptable differences in quality. Overall, employing digital twins in precision health demonstrates practical advantages, warranting its expanded use to facilitate the transition from the development phase to broad application.PROSPERO registry: CRD42024507256.

Group-based behaviour therapy improves self-care, glycaemic control and distress in adults with type 1 diabetes

AIMS

Psychological interventions have had modest effects on HbA1c in adults with Type 1 diabetes (T1D). We evaluated a novel behaviour therapy (BT) group program aiming to improve diabetes self-care and reduce HbA1c and distress. Core features were the application of a functional-analytic model, behavioural self-management training, and personally selected T1D self-care behaviours as treatment targets.

METHODS

Participants with T1D, 2-consecutive HbA1c ≥ 8.5 %(69 mmol/mol) and/or diabetes-related emotional/behavioural difficulties who had received specialist multidisciplinary input for ≥2 years completed 6-sessions of BT over 9-weeks. Outcomes were assessed at baseline, on completing 5-consecutive weekly sessions (post-) and at session 6, 1-month after (follow-up).

RESULTS

Of 66 participants mean age 37.9 years, mean age at T1D diagnosis 22.0 years, and median T1D duration 14 years, 54 completed BT. HbA1c improved from baseline to follow-up (9.7 ± 1.9 %-8.8 ± 1.3 %, p < 0.001), as did diabetes distress (DD: total score 49.2 ± 7.8 baseline, 38.9 ± 14.7 post- and 32.8 ± 11.7 follow-up, p < 0.001). All DD subscales of emotional burden, and physician, regimen, and interpersonal distress, improved (p < 0.001). Consistent results were observed for patients on multiple daily injections and continuous subcutaneous insulin infusion therapy.

CONCLUSIONS

BT based on a functional-analytic and behavioural self-management model holds promise as an effective means of improving HbA1c and reducing DD in adults with T1D.

Leveraging applied behavior analysis research and practice in the service of public health

Human behavior plays a central role in all domains of public health. Applied behavior analysis (ABA) research and practice can contribute to public health solutions that directly address human behavior. In this paper, we describe the field of public health, identify points of interaction between public health and ABA, summarize what ABA research has already contributed, and provide several recommendations for how ABA research and practice could continue to promote public health outcomes. A clearer focus on behavior and widespread adoption of research designs and interventions informed by the ABA literature could lead to better public health outcomes. Reciprocally, better integration of public health goals and strategies into ABA research, harnessing of technology, and more collaboration would help diversify and disseminate our applied science and could yield more effective and scalable interventions to prevent and treat public health problems.