Actual Use of Multiple Health Monitors Among Older Adults With Diabetes: Pilot Study

Examining a Remote Group-Based Type 2 Diabetes Self-Management Education Program in the COVID-19 Era Using the ORBIT Model: Small 6-Week Feasibility Study

BACKGROUND

To date, most group-based diabetes self-management education (DSME) programs for type 2 diabetes (T2D) have been delivered in person. The rapid transition to remote care at the outset of the COVID-19 pandemic presented opportunities to test, evaluate, and iterate a new remote DSME program.

OBJECTIVE

We aim to refine the delivery and evaluation of a multicomponent remote DSME program for adults living with T2D by examining several feasibility outcomes.

METHODS

We recruited a convenience sample of patients from a London, Canada, outpatient diabetes clinic (serving high-risk, low-income adults) to participate in a 6-week, single cohort feasibility study from November 2020 to March 2021. This small ORBIT phase 1b feasibility study represents the first in a planned series guided by the ORBIT model for developing behavioral interventions for chronic diseases (phase 1: design; phase 2: preliminary testing; phase 3: efficacy; and phase 4: effectiveness). The feasibility of delivering and evaluating a remote DSME program, including (1) live video education classes, (2) individualized physical activity (PA) prescription and counseling, and (3) intermittently scanned continuous glucose and wearable PA monitoring, was assessed. Feasibility outcomes included recruitment and retention rates, program adherence, and acceptability (ie, technology issues and exit survey feedback). PA was assessed with Fitbit Inspire 2 (Fitbit Inc) and estimated glycated hemoglobin (HbA1c) using the FreeStyle Libre (Abbot). Given the small study sample, group- and individual-level data are reported descriptively.

RESULTS

A total of 10 adults living with T2D were recruited (female 60%; age 49.9, SD 14.3 years; estimated HbA1c 6.2%, SD 0.5%). Recruitment and retention rates were 29% and 80%, respectively. Participants attended 83% (25/30) and 93% (37/40) of education classes and PA counseling phone calls, respectively. There were 3.2 (SD 2.6) technology issues reported per person, most of which were related to study data transfer. Exit survey responses suggest most participants (8/9, 89%) were "satisfied" with the program. Recognizing the small sample size and the fact that no inferential statistics were conducted, the mean (SD) for the weekly daily step count and estimated HbA1c are provided for illustrative purposes. Participants accumulated 7103 (SD 2900) and 7515 (SD 3169) steps per day at baseline and week 6, respectively. The estimated HbA1c was 6.2% (SD 0.5%) and 6.2% (SD 0.6%) at baseline and week 6, respectively.

CONCLUSIONS

This ORBIT phase 1b study served to refine the delivery (eg, automatic study data upload process recommended to reduce participant burden) and evaluation (eg, purposeful sampling of participants with baseline HbA1c >8% recommended to address selection bias) of a remote DSME program. Preliminary proof-of-concept testing (ORBIT phase 2) incorporating some of these learnings is now warranted.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04498819; https://clinicaltrials.gov/study/NCT04498819.

Aplicaciones móviles dirigidas a personas mayores para la autogestión del cuidado: revisión del alcances

Introducción: el uso de aplicaciones móviles puede facilitar la autogestión en salud y brindar oportunidades para la autonomía de las personas mayores en su autocuidado. Objetivo: mapear la producción científica en aplicaciones móviles para la autogestión del cuidado dirigido a las personas mayores. Materiales y Métodos: revisión de alcance realizada desde septiembre de 2020 a enero de 2021, con base en las siguientes bases de datos: MEDLINE, SciELO, Scopus, Web of Science y Science Direct, utilizando la estrategia de búsqueda: (“Self-management” OR “Self-care”) AND (Elderly OR “Old man”) AND (“Mobile Applications” OR Smartphone OR “Cell phone”), con la inclusión de artículos que tratan sobre el uso de aplicaciones móviles por parte de los ancianos para la autogestión de cuidado, sin limitaciones de tiempo e idioma. Resultados: la muestra final constó de 14 artículos, categorizados en tres aspectos del manejo, a saber: medicamentos, comorbilidades y prácticas saludables. En la mayoría de los estudios, las aplicaciones estuvieron dirigidas al autocontrol de los medicamentos, seguido de la atención de las condiciones crónicas y finalmente la autoevaluación del riesgo de caídas y los tratamientos no farmacológicos del dolor. Discusión: esta revisión contribuye a la práctica clínica y la investigación en enfermería, ya que sus resultados apuntan a lo publicado sobre el desarrollo y uso de aplicaciones móviles por parte de los ancianos para la autogestión del cuidado. Conclusiones: el uso de aplicaciones móviles facilita el autocuidado de la población anciana, especialmente en el manejo de la medicación para enfermedades crónicas. Como citar este artículo: Gomes, Manoelise Linhares Ferreira; Fernandes, Cristina da Silva; Sousa, Maria Gabrieli Aguiar de; Silva, Raimunda Leandra Bráz da; Silva, Illeanne de Jesus Manhiça da Costa; Barros, Lívia Moreira. Aplicativos móveis direcionados aos idosos para autogerenciamento do cuidado: revisão de escopo. Revista Cuidarte. 2023;14(1):e2594. http://dx.doi.org/10.15649/cuidarte.2594

Wearable Fitness Trackers to Predict Clinical Deterioration in Maintenance Hemodialysis: A Prospective Cohort Feasibility Study

Rationale & Objective

People receiving hemodialysis often require urgent care or hospitalizations. It is possible that reductions in a patient’s level of physical activity may serve as an “early warning” of clinical deterioration, allowing timely clinical intervention. We explored whether step count could serve as a trigger for deterioration.

Study Design

Prospective observational cohort feasibility study.

Setting & Participants

We recruited consenting adult participants from outpatient dialysis clinics in Calgary, AB, between June 28, 2019, and October 10, 2019.

Exposure and Outcomes

Participants wore a wristband fitness tracker for 4 weeks. Activity data from the trackers were imported weekly into the study database. Demographic, clinical management, functional impairment, and frailty were assessed at baseline. Clinical events (urgent care and emergency department visits and hospitalizations) were monitored during the observation period.

Analytical Approach

Box and whisker plots and line plots were used to describe each participant’s daily steps. Adjusted rate ratios (and 95 % confidence intervals) were calculated to assess the associations between the number of steps taken each day and potential predictors.

Results

Data from 46 patients were included; their median age was 64 years (range, 22 to 85), and 63 % were men. The median number of steps taken per day was 3,133 (range, 248-13,753). Fourteen events among 11 patients were reported. Within patients, step count varied considerably; it was not possible to identify a patient-specific normal range for daily step count. There was no association between step count and the occurrence of clinical events, although the number of events was very small.

Limitations

The number of participants was relatively small, and there were too few events to model to examine whether step count could predict clinical deterioration.

Conclusions

Within-patient variation in daily step count was too high to generate a normal range for patients. However, patient-specific norms over a longer period (3- or 7-day periods) appear potentially worthy of future study in a larger sample and/or over a longer follow-up.