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INTRODUCTION: Effective and scalable solutions to support management of Type 2 Diabetes (T2D) at a distance are a priority for health systems worldwide. The use of personalised care planning has been shown to be effective at improving the health outcomes and the experience of care amongst people with T2D and other long-term health conditions. Here we describe a specific example of such an intervention. METHODS: The sample comprised 197 participants with T2D randomised to either the active intervention group with digital health planning (App + usual care), with 115 participants, or the control group (usual care), with 82 participants. We analysed data in relation to changes in body mass index (BMI) and glycated haemoglobin (HbA1c) over a 6-month follow-up period. We also analysed responses to questionnaires sent out and held interviews with participants that were in the active treatment group and therefore had a care plan created and access to an app. RESULTS: The active treatment group had significant reductions in HbA1c (p < 0.01) and BMI (p < 0.037) vs the control group (no significant change). The average percentage change in HbA1c for the treatment group over 6 months was - 7.4% (± SE 1.4%), compared with 1.8% (± SE 2.1%) for the control group. The average percentage change in BMI for the treatment group was - 0.7% (± SE 0.4%) and it was - 0.2% (± SE 0.5%) for the control group. A higher percentage of the active treatment group reduced their HbA1c and BMI than the control group. For HbA1c, 72.4% of the active treatment group reduced their HbA1c, compared to 41.5% of the control group. For BMI, 52.7% of the active treatment group experienced a reduction, compared to 42.9% for the control group. Self-measured quality of life (QoL) improved for patients in the active treatment group, shown by an increase in their pre-trial to post-trial EQ-5D-5L rating by an average of 0.0464 (± SE 0.0625), compared to a decrease of 0.0086 (± SE 0.0530) for the control group. The average EQ VAS score also increased pre- to post-trial for the active treatment group, on average by 8.2%, whereas it decreased by an average of - 2.8% for the control group. CONCLUSION: These findings point to how the provision of personalised plans of care, support and education linked to a mobile app, can result in HbA1c and BMI reduction for many individuals with T2D. The use of a patient management app as well as a personalised care plan also led to an improvement in patient self-rated QoL and engagement.
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Introduction: The use of personalised care planning has been effective at improving health outcomes for people with long-term health conditions. Methods: We analysed data in relation to changes in BMI/HbA1c. The sample was made up of (n = 36) participants randomised to either the active intervention group (App+usual care) or the control group (usual care). Results: The average HbA1c percentage change for the treatment group was 9.5%, but just -2% for the control (usual care) group (P = 0.015 for the difference). The average percentage change in BMI for the treatment group was -0.4%, but 0.1% for the control group (P = 0.03 for the difference). Conclusion: These preliminary findings point to how the provision of personalised plans of care, support and education linked to a mobile app, can result in HbA1c and BMI reduction over a 6-month period. While the results are preliminary, they portend the potential for digital plans of care to enhance T2DM management.
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BACKGROUND: Patients treated with maintenance dialysis are at high risk of polypharmacy given their many comorbidities as well as complications from their disease state and treatment. The prescribing patterns and burden of polypharmacy in patients treated with maintenance dialysis, and specifically the difference between hemodialysis (HD) and peritoneal dialysis (PD) prescribing, are not well characterized. OBJECTIVES: The objectives of this study were to review the prescribing patterns for patients treated with maintenance dialysis, to compare prescribing pattern between HD and PD, and to identify opportunities for deprescription. DESIGN: This is a retrospective cohort study. SETTING: This study was conducted in all dialysis centers in British Columbia, Canada. PATIENTS: Patients who were receiving chronic dialysis (>120 days on the same dialysis modality) between June 3 and October 1, 2015, and registered in the British Columbia (BC) Renal Patient Records and Outcomes Management Information System. MEASUREMENTS: Patient demographics as well as both prescription and non-prescription medications were collected. Comparison of discrete and continuous variables was made by chi-square analysis and independent t test, respectively. All statistical tests were 2-sided, and a P value of <.05 was considered statistically significant. METHODS: Medications were classified by indication: (1) management of renal complications, (2) cardiovascular (CV) medications, (3) diabetes medications, or (4) management of symptoms, and then classified as to whether they were a "potentially inappropriate medication" (PIM) or not. Ethics approval was granted from the University of British Columbia Research and Ethics Board. RESULTS: In total, 3017 patients met inclusion criteria (2243 HD, 774 PD). The mean age was 66.2 ± 14.8 years. The HD group had more patients over 80 years old (22.1% vs 12.5%) and more patients with diabetes and CV disease. The mean number (standard deviation [SD]) of discrete prescribed medications was 17.71 (5.72) overall with more medications in the HD group versus the PD group. The mean number of medications increased with dialysis vintage in both groups. HD patients were on more medications for renal complications and management of symptoms than PD patients. Of the total number of medications prescribed, 5.02 (2.78) were classified as a PIM, with the number of PIMs higher in HD vs PD patients: 5.37 (2.83) versus 4.02 (2.37). LIMITATIONS: In BC, some of the medications are prescribed through standardized protocols and may not be comparable with other Canadian provinces. We report here prescribing patterns, not utilization patterns, as we are not able to ascertain actual consumption of prescribed medication. CONCLUSION: This study reviews and characterizes both the prescription and non-prescription medication prescribed to HD patients and PD patients in BC. Pill burden in both groups is high, as is the prescription of PIMs. Patients receiving maintenance HD receive more overall medications and more PIMs. These results highlight areas of opportunities for future systematic and patient-informed deprescription initiatives in both patient groups.
CONTEXTE: Les patients sous dialyse à long terme, en raison de leurs nombreuses comorbidités et des complications inhérentes à leur état de santé et à leur traitement, s'exposent à un plus grand risque de polypharmacie. On en sait toutefois peu sur le fardeau qu'elle représente pour ces patients et sur leurs profils de prescription, particulièrement sur les possibles différences entre les patients traités par hémodialyse ou par dialyse péritonéale. OBJECTIFS: Comparer les profils de prescription des patients traités par hémodialyse (HD) et par dialyse péritonéale (DP), et cerner les possibilités de déprescription. TYPE D'ÉTUDE: Étude de cohorte rétrospective. CADRE: Tous les centres de dialyse de la Colombie-Britannique (Canada). SUJETS: Les patients sous dialyse chronique (plus de 120 jours avec la même modalité) entre le 3 juin et le 1er octobre 2015, et inscrits dans la base de données Renal Patient Records and Outcomes Management Information System de Colombie-Britannique. MESURES: Les caractéristiques démographiques des patients et la liste des médicaments, prescrits ou non. Une analyse du chi-carré (variables discontinues) et un test t indépendant (variables continues) ont été employés pour comparer les différentes variables. Tous les tests statistiques étaient bilatéraux. Une valeur de P inférieure à 0,05 a été jugée significative. MÉTHODOLOGIE: Les médicaments ont été classés par indication : (1) traitement des complications rénales, (2) contre les maladies cardiovasculaires (3) contre le diabète et (4) traitement des symptômes. Ils ont ensuite été classés comme étant ou non un « médicament potentiellement inapproprié ¼ (MPI). L'approbation déontologique a été octroyée par le comité d'éthique de la recherche de l'Université de la Colombie-Britannique. RÉSULTATS: Un total de 3 017 patients, dont l'âge moyen était de 66,2 ± 14,8 ans, satisfaisaient les critères d'inclusion (2243 HD, 774 DP). Le groupe HD comportait davantage de patients âgés de plus de 80 ans (22,1 % contre 12,5 %) et de patients souffrant de diabète et de maladies cardiovasculaires. Le nombre moyen de prescriptions (écart-type) s'élevait à 17,71 (5,72) avec des nombres globaux plus élevés dans le groupe HD. Le nombre moyen de médicaments augmentait avec le temps passé en dialyse dans les deux groupes. Les patients HD prenaient davantage de médicaments pour traiter les symptômes et les complications rénales que les patients DP. Dans l'ensemble, une moyenne de 5,02 (2,78) médicaments ont été classés MPI, et leur nombre était plus élevé dans le groupe HD que dans le groupe DP (5,37 [2,83] contre 4,02 [2,37]). LIMITES: En C.-B., certains médicaments sont prescrits selon des protocoles standardisés, et ceci pourrait ne pas être comparable aux autres provinces canadiennes. L'article présente des profils de prescription et non des schémas de prise de médicaments, car nous ne pouvions vérifier la consommation réelle des médicaments prescrits. CONCLUSION: Cette étude examine et caractérise les médicaments sous ordonnance et en vente libre qui sont prescrits aux patients britanno-colombiens traités par HD et DP. La charge médicamenteuse est élevée dans les deux groupes, de même que le nombre d'ordonnances de MPI. Les patients traités par HD se voient prescrire davantage de médicaments et de MPI. Ces résultats montrent que des initiatives de déprescription systématiques et informées sont possibles pour ces deux groupes de patients.