824-P: Quality of Behavior Change Action Plans Created in Primary Care Settings as a Tool for Patient Involvement in Type 2 Diabetes Care

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 824-P
Author(s):  
PERNILLE H. KJAER ◽  
MANSI DEDHIA ◽  
JOSÉ PARRA ◽  
LAWRENCE FISHER ◽  
MICHAEL B. POTTER ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Behavior Change ◽  
Diabetes Care ◽  
Patient Involvement ◽  
Action Plans ◽  
Primary Care Settings

Type 2 diabetes in primary care

2017 ◽  
Vol 10 (12) ◽  
pp. 705-712
Author(s):  
Hermione Price
Keyword(s):  
Quality Of Life ◽  
Type 2 Diabetes ◽  
Primary Care ◽  
Diabetes Care ◽  
Cost Savings ◽  
Patients With Diabetes ◽  
The Uk

Type 2 diabetes is common, and its prevalence is increasing. Most patients with type 2 diabetes are managed entirely in primary care. The National Diabetes Audit has provided evidence of large variations across the UK in the standard of available care in the community for patients with diabetes. Good diabetes care can prevent or delay complications and, as well as cost savings, this results in a better quality of life for patients. This article provides an overview of type 2 diabetes and the National Institute for Health and Care Excellence guidance for treatment proposed in 2015.

Health-related quality of life of patients with type 2 diabetes mellitus in primary care in Spain: self-reported and proxy assessment using the EQ-5D

2007 ◽  
Vol 10 (1) ◽  
pp. 41-58 ◽  
Author(s):  
Kristina S Boye ◽  
Nicole Yurgin ◽  
Tatiana Dilla ◽  
Luis A Cordero ◽  
Xavier Badia ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Primary Care ◽  
Type 2 Diabetes Mellitus ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

scholarly journals Quality of Life and Associated Factors among Primary Care Asian Patients with Type 2 Diabetes Mellitus

2019 ◽  
Vol 16 (19) ◽  
pp. 3561 ◽  
Author(s):  
Hardesh Dhillon ◽  
Rusli Bin Nordin ◽  
Amutha Ramadas
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Primary Care ◽  
Type 2 Diabetes Mellitus ◽  
Medication Adherence ◽  
Well Being ◽  
Care Clinic

Diabetes complications, medication adherence, and psychosocial well-being have been associated with quality of life (QOL) among several Western and Asian populations with diabetes, however, there is little evidence substantiating these relationships among Malaysia’s unique and diverse population. Therefore, a cross-sectional study was conducted in a Malaysian public primary care clinic among 150 patients diagnosed with type 2 diabetes mellitus (T2DM). Structured and validated questionnaires were used to investigate the associations between demographic, clinical, and psychological factors with QOL of the study participants. Approximately three-quarters of patients had a good-excellent QOL. Diabetes-related variables that were significantly associated with poor QOL scores included insulin containing treatment regimens, poor glycemic control, inactive lifestyle, retinopathy, neuropathy, abnormal psychosocial well-being, higher diabetes complication severity, and nonadherence (p < 0.05). The main predictors of a good-excellent QOL were HbA1c ≤ 6.5% (aOR = 20.78, 95% CI = 2.5175.9, p = 0.005), normal anxiety levels (aOR = 5.73, 95% CI = 1.8–18.5, p = 0.004), medication adherence (aOR = 3.35, 95% CI = 1.3–8.7, p = 0.012), and an aDCSI score of one and two as compared to those greater than or equal to four (aOR = 7.78, 95% CI = 1.5–39.2, p = 0.013 and aOR = 8.23, 95% CI = 2.1–32.8, p = 0.003), respectively. Medication adherence has also been found to be an effect modifier of relationships between HbA1c, depression, anxiety, disease severity, and QOL. These predictors of QOL are important factors to consider when managing patients with T2DM.

scholarly journals Prevalence of amputations amongst people with type 2 diabetes enrolled in primary care in England

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
B Meza-Torres ◽  
C Heiss ◽  
S Cunningham ◽  
F Carinci ◽  
S de Lusignan
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Quality Of Care ◽  
General Practitioners ◽  
Distinct Pattern ◽  
National Database ◽  
Cross Sectional ◽  
Clinical Records

Abstract Background Different patterns of co-morbidities observed among people with type 2 diabetes (T2D) and lower extremity amputations (LEA) compared with those without may provide insights into the quality of care provided by general practitioners in England. We analysed routinely recorded clinical data to build predictive models for benchmarking and continuous improvement. Methods A cross-sectional computerized data extraction of clinical records from the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) database of people with T2D in England. Key target cases were defined as adults with T2D and a record of major/minor LEA between 2008-2019 vs all subjects with T2D without amputation. Quality of care was assessed in terms of percentage of patients treated with optimal medical therapy and diagnostic procedures and referred to specialized care according to their clinical profile. The association between quality of care and outcomes was explored using a logistic regression model, adjusting for case-mix. Results During the last decade, in a sample covering approximately 7.4% of all general practitioners in England, a total of 1,052 subjects out of 127,100 adults with T2D had a LEA (832 per 100,000). The median time since amputation was 3.4 years. Only 410 (38%) patients had a recorded DFU diagnosis prior to the amputation, with a median of 2 years from diagnosis to amputation. Major LEA was recorded in 280 (27%) cases. People with a record of retinopathy, peripheral arterial disease, renal disease, neuropathy and DFU had a higher risk of amputations. Quality of care was heterogeneous between patients with and without LEA. Conclusions People with T2D and LEA have a distinct pattern of co-morbidities some of which may be sensitive to improved primary care management, and differential quality of care. Models built using this national database can routinely monitor amputations in England. Variation in treatment should be properly investigated. Key messages The automated extraction of clinical cases from a national database may help shed light on clinical patterns among people with diabetes at high risk of amputations, based on evidence-based criteria. Variation in treatment and quality of care among amputated vs non-amputated subjects can be rapidly explored using a cross-sectional analysis of current records.

scholarly journals Comparative Effectiveness of a Technology-Facilitated Depression Care Management Model in Safety-Net Primary Care Patients With Type 2 Diabetes: 6-Month Outcomes of a Large Clinical Trial (Preprint)

2017 ◽  
Author(s):  
Shinyi Wu ◽  
Kathleen Ell ◽  
Haomiao Jin ◽  
Irene Vidyanti ◽  
Chih-Ping Chou ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Usual Care ◽  
Diabetes Care ◽  
Functional Disability ◽  
Safety Net ◽  
P Value ◽  
Depression Care ◽  
Care Model

BACKGROUND Comorbid depression is a significant challenge for safety-net primary care systems. Team-based collaborative depression care is effective, but complex system factors in safety-net organizations impede adoption and result in persistent disparities in outcomes. Diabetes-Depression Care-management Adoption Trial (DCAT) evaluated whether depression care could be significantly improved by harnessing information and communication technologies to automate routine screening and monitoring of patient symptoms and treatment adherence and allow timely communication with providers. OBJECTIVE The aim of this study was to compare 6-month outcomes of a technology-facilitated care model with a usual care model and a supported care model that involved team-based collaborative depression care for safety-net primary care adult patients with type 2 diabetes. METHODS DCAT is a translational study in collaboration with Los Angeles County Department of Health Services, the second largest safety-net care system in the United States. A comparative effectiveness study with quasi-experimental design was conducted in three groups of adult patients with type 2 diabetes to compare three delivery models: usual care, supported care, and technology-facilitated care. Six-month outcomes included depression and diabetes care measures and patient-reported outcomes. Comparative treatment effects were estimated by linear or logistic regression models that used generalized propensity scores to adjust for sampling bias inherent in the nonrandomized design. RESULTS DCAT enrolled 1406 patients (484 in usual care, 480 in supported care, and 442 in technology-facilitated care), most of whom were Hispanic or Latino and female. Compared with usual care, both the supported care and technology-facilitated care groups were associated with significant reduction in depressive symptoms measured by scores on the 9-item Patient Health Questionnaire (least squares estimate, LSE: usual care=6.35, supported care=5.05, technology-facilitated care=5.16; P value: supported care vs usual care=.02, technology-facilitated care vs usual care=.02); decreased prevalence of major depression (odds ratio, OR: supported care vs usual care=0.45, technology-facilitated care vs usual care=0.33; P value: supported care vs usual care=.02, technology-facilitated care vs usual care=.007); and reduced functional disability as measured by Sheehan Disability Scale scores (LSE: usual care=3.21, supported care=2.61, technology-facilitated care=2.59; P value: supported care vs usual care=.04, technology-facilitated care vs usual care=.03). Technology-facilitated care was significantly associated with depression remission (technology-facilitated care vs usual care: OR=2.98, P=.04); increased satisfaction with care for emotional problems among depressed patients (LSE: usual care=3.20, technology-facilitated care=3.70; P=.05); reduced total cholesterol level (LSE: usual care=176.40, technology-facilitated care=160.46; P=.01); improved satisfaction with diabetes care (LSE: usual care=4.01, technology-facilitated care=4.20; P=.05); and increased odds of taking an glycated hemoglobin test (technology-facilitated care vs usual care: OR=3.40, P<.001). CONCLUSIONS Both the technology-facilitated care and supported care delivery models showed potential to improve 6-month depression and functional disability outcomes. The technology-facilitated care model has a greater likelihood to improve depression remission, patient satisfaction, and diabetes care quality.

scholarly journals Patients’ Assessment of Care for Type 2 Diabetes: Results of the Patient Assessment of Chronic Illness Care Scale in A Danish Population

2020 ◽  
Author(s):  
Anne Frølich ◽  
Ann Nielsen ◽  
Charlotte Glümer ◽  
Hanne Birke ◽  
Christian U Eriksen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Quality Of Care ◽  
Chronic Illness ◽  
Diabetes Care ◽  
Emergency Department Visits ◽  
Descriptive Statistics ◽  
Chronic Illness Care ◽  
Patient Assessment

Abstract Background: The Patient Assessment of Chronic Illness Care (PACIC) scale is the most appropriate for assessing self-reported experience in chronic care. However, it has yet to be validated in a Danish diabetes population. We aimed to validate the PACIC, assess the quality of care for Danish patients with type 2 diabetes, and identify factors associated with quality of care. Methods: A survey of 7,745 individuals randomly selected from the National Diabetes Registry. Descriptive statistics inter-item and item-rest correlations and factor analysis assessed the PACIC properties. Quality of care was analysed with descriptive statistics; linear and multiple regression assessed the effect of forty-nine covariates on total and subscale scores. Results: In total, 2,696 individuals with type 2 diabetes completed ≥ 50% of items. The floor effect for individual items was 8.5-74.5%; the ceiling effect was 4.1- 47.8 %. Cronbach’s alpha was 0.73-0.86 for the five subscales. The comparative fit index (CFI) and the Tucker–Lewis index (TLI) were 0,87, and 0,84, respectively. Mean PACIC score was 2.44 (± 0.04). Respondents receiving rehabilitation and reporting primary of diabetes care had higher total mean scores; those 70 years or older had lower mean total and subscale scores. A higher number of diabetes visits were associated with higher total scores; higher number of emergency department visits were associated with lower total scores. The effect of healthcare utilisation on subscale scores varied. Conclusions: Floor effects suggest a need for further evaluation of the PACIC questionnaire in Danish settings. Total PACIC scores were lower than in other healthcare systems, possibly being a result of different contexts and cultures, and of a need for improving diabetes care in Denmark.

Process evaluation of a medical assistant health coaching intervention for type 2 diabetes in diverse primary care settings

2021 ◽  
Author(s):  
Taylor L Clark ◽  
Addie L Fortmann ◽  
Athena Philis-Tsimikas ◽  
Thomas Bodenheimer ◽  
Kimberly L Savin ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Process Evaluation ◽  
Health Coaching ◽  
Adherence Rate ◽  
Protocol Adherence ◽  
Primary Care Settings ◽  
Patient Reported ◽  
Health Coaches

Abstract Team-based models that use medical assistants (MAs) to provide self-management support for adults with type 2 diabetes (T2D) have not been pragmatically tested in diverse samples. This cluster-randomized controlled trial compares MA health coaching with usual care in adults with T2D and poor clinical control (“MAC Trial”). The purpose was to conduct a multi-method process evaluation of the MAC Trial using the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework. Reach was assessed by calculating the proportion of enrolled participants out of the eligible pool and examining representativeness of those enrolled. Key informant interviews documented adoption by MA Health Coaches. We examined implementation from the research and patient perspectives by evaluating protocol adherence and the Patient Perceptions of Chronic Illness Care (PACIC-SF) measure, respectively. Findings indicate that the MAC Trial was efficient and effective in reaching patients who were representative of the target population. The acceptance rate among those approached for health coaching was high (87%). Both MA Health Coaches reported high satisfaction with the program and high levels of confidence in their role. The intervention was well-implemented, as evidenced by the protocol adherence rate of 79%; however, statistically significant changes in PACIC-SF scores were not observed. Overall, if found to be effective in improving clinical and patient-reported outcomes, the MAC model holds potential for wider-scale implementation given its successful adoption and implementation and demonstrated ability to reach patients with poorly controlled T2D who are at-risk for diabetes complications in diverse primary care settings.

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