Diabetes Care Processes Research Articles

Perceived barriers and enablers to the provision of diabetic retinopathy screening for young adults: a cross-sectional survey of healthcare professionals working in the UK National Diabetic Eye Screening Programme

IntroductionDiabetic retinopathy screening (DRS) attendance in young adults is consistently below recommended levels. The aim of this study was to conduct a survey of screening providers in the UK Diabetic...

Completion of annual diabetes care processes and mortality: A cohort study using the National Diabetes Audit for England and Wales.

To conduct an analysis to assess whether the completion of recommended diabetes care processes (glycated haemoglobin [HbA1c], creatinine, cholesterol, blood pressure, body mass index [BMI], smoking habit, urinary albumin, retinal and foot examinations) at least annually is associated with mortality. A cohort from the National Diabetes Audit of England and Wales comprising 179 105 people with type 1 and 1 397 790 people with type 2 diabetes, aged 17 to 99 years on January 1, 2009, diagnosed before January 1, 2009 and alive on April 1, 2013 was followed to December 31, 2019. Cox proportional hazards models adjusting for demographic characteristics, smoking, HbA1c, blood pressure, serum cholesterol, BMI, duration of diagnosis, estimated glomerular filtration rate, prior myocardial infarction, stroke, heart failure, respiratory disease and cancer, were used to investigate whether care processes recorded January 1, 2009 to March 31, 2010 were associated with subsequent mortality. Over a mean follow-up of 7.5 and 7.0 years there were 26 915 and 388 093 deaths in people with type 1 and type 2 diabetes, respectively. Completion of five or fewer, compared to eight, care processes (retinal screening not included as data were not reliable) had a mortality hazard ratio (HR) of 1.37 (95% confidence interval [CI] 1.28-1.46) in people with type 1 and 1.32 (95% CI 1.30-1.35) in people with type 2 diabetes. The HR was higher for respiratory disease deaths and lower in South Asian ethnic groups. People with diabetes who have fewer routine care processes have higher mortality. Further research is required into whether different approaches to care might improve outcomes for this high-risk group.

Variation between general practitioners in type 2 diabetes processes of care

AimsTo explore variation in general practitioners’ (GPs’) performance of six recommended procedures in type 2 diabetes patients <75 years without cardiovascular disease. MethodsCross-sectional study of quality of diabetes care in Norway based on electronic health records from 2014. GPs (clustered in practices) were divided in quintiles based on a composite measure of performance of six processes of care. We fitted a multilevel partial ordinal regression model to identify GP factors associated with being in quintiles with better performance. ResultsWe identified 6015 type 2 diabetes patients from 275 GPs in 77 practices. The GPs performed on average 63.4% of the procedures; on average 46% in the poorest quintile to 81% in the best quintile with a larger range in individual GPs. After adjustments, use of a structured follow-up form was associated with GPs being in upper three quintiles (OR 12.4 (95% CI 2.37–65.1). Routines for reminders were associated with being in a better quintile (OR 2.6 (1.37–4.92). GPs’ age >60 years and heavier workload were associated with poorer performance. ConclusionWe found large variations in GPs’ performance of processes of care. Factors reflecting structure and workload were strongly associated with performance.

Differences between processes of diabetes care and diabetes self‐care and their respective perspectives

Differences between processes of diabetes care and diabetes <scp>self‐care</scp> and their respective perspectives

The emergence of diabetes in a Tapiete community of Salta: gender, ethnicity and relations with the health system

In Argentina, the presence of diabetes and other chronic diseases among indigenous populations has not yet been sufficiently studied. This article is the result of an ethnographic study of the sociocultural and gender determinants that are involved in diabetes care and prevention processes among the Tapiete people in the province of Salta. The research combined participant observation and interviews both with adult men and women diagnosed with diabetes and with nurses and doctors at a primary care center in Misión Los Tapietes and at a hospital in Tartagal between August and September of 2019. The growing presence of diabetes has been observed in the community, along with a lack of articulation of social and health interventions with native practices of health-disease-care, as well as problems in communicating diagnosis and treatment options, intensified by difficulties regarding access to the healthcare system. The article examines the complexity of the epidemiological transition, meanings of chronic disease for men and women, the traumatic emergence of diabetes, and difficulties in exercising the right to health among indigenous populations.

Association between processes of diabetes care and health care utilization in patients with diabetes: Evidence from a nationally representative US sample.

This study examined the association between quality of processes of diabetes care in terms of adherence to American Diabetes Association (ADA)-recommended guidelines and health care utilization in patients with diabetes. Adults with diabetes were identified from the pool of five panels of the Medical Expenditure Panel Survey, a nationally representative US sample, between 2012 and 2017. The Diabetes Care Survey was used to determine adherence to the ADA-recommended guidelines for processes of diabetes care if all of the following were performed annually: glycosylated hemoglobin check, foot examination, dilated eye examination, lipid panel, influenza immunization, blood pressure check, and dental examination. Health care utilization in terms of inpatient hospitalization, and emergency department (ED) and outpatient visits were estimated using two-part hurdle models. An estimated 26.3 million adults with diabetes were derived from the pooled 5-panel data, of which 7.8% met the ADA-recommended guidelines for processes of diabetes care, and adherence rates of individual recommendations were generally below 50%. Overall, adults who adhered to the ADA-recommendations were older, non-Hispanic white, and married nonsmokers with private insurance and higher income. Mean inpatient hospital stays, ED, and outpatient visits between ADA-adherent vs nonadherent patients were 0.98 vs 1.62 (P < .001), 0.36 vs 0.39 (P = .074), and 17.9 vs 12.8 (P < .001), respectively. Socioeconomic disadvantage and minority status were linked with nonadherence to the ADA-recommended processes of diabetes care. Adherence to the ADA recommendation was associated with significant reduction in inpatient hospitalization and a trend toward less ED visits. Our findings may apply to the United States and are likely to be different in other parts of the world.

Differences in Health Care Utilization, Process of Diabetes Care, Care Satisfaction, and Health Status in Patients With Diabetes in Medicare Advantage Versus Traditional Medicare.

The objective of this study was to determine differences in health care utilization, process of diabetes care, care satisfaction, and health status for Medicare Advantage (MA) and traditional Medicare (TM) beneficiaries with and without diabetes. Using the 2010-2016 Medicare Current Beneficiary Survey, we identified MA and TM beneficiaries with and without diabetes. To address the endogenous plan choice between MA and TM, we used an instrumental variable approach. Using marginal effects, we estimated differences in the outcomes between MA and TM beneficiaries with and without diabetes. Our instrumental variable analysis showed that compared with TM beneficiaries with diabetes, MA beneficiaries with diabetes had less annual health care utilization, including -22.4 medical provider visits [95% confidence interval (CI): -23.6 to -21.1] and -3.4 outpatient hospital visits (95% CI: -3.8 to -3.0). A significant difference between MA and TM beneficiaries without diabetes was only observed in medical provider visits and the difference was greater among beneficiaries with diabetes than beneficiaries without diabetes (-12.5 medical provider visits; 95% CI: -15.9 to -9.2). While we did not detect significant differences in 5 measures of the process of diabetes care between MA and TM beneficiaries with diabetes, there were inconsistent results in the other 3 measures. There were no or marginal differences in care satisfaction and health status between MA and TM beneficiaries with and without diabetes. MA enrollment was associated with lower health care utilization without compromising care satisfaction and health status, particularly for beneficiaries with diabetes. MA may have a more efficient care delivery system for beneficiaries with diabetes.

Lifestyle advice, processes of care and glycaemic control amongst patients with type 2 diabetes in a South African primary care facility.

BackgroundThe influence of processes of diabetes care on glycaemic control is understudied in primary health care (PHC).AimTo explore the influence of lifestyle advice, drug regimen and other processes of care on glycaemic control.SettingJohan Heyns Community Health Centre, Vanderbijlpark, South Africa.MethodsIn a cross-sectional study involving 200 participants with type-2 diabetes, we collected information on sociodemography, comorbidity, processes of diabetes care, drug regimen and receipt of lifestyle advice. Anthropometric measures and glycosylated haemoglobin (HbA1c) were also determined.ResultsParticipants’ mean age was 57.8 years and most were black people (88%), females (63%), overweight or obese (94.5%), had diabetes for < 10 years (67.9%) and hypertension as comorbidity (98%). Most participants received lifestyle advice on one of diet, exercise and weight control (67%) and had their blood pressure (BP) checked (93%) in the preceding 12 months. However, < 2% had any of HbA1c, weight, waist circumference or body mass index checked. Glycaemic control (HbA1c < 7%) was achieved in only 24.5% of participants. Exclusive insulin or oral drug was prescribed in 5% and 62% of participants, respectively. Compared to insulin monotherapy, participants on combined metformin and insulin or metformin, sulphonylurea and insulin were less likely to have glycaemic control. Comorbid congestive cardiac failure (CCF) significantly increased the likelihood of glycaemic control.ConclusionThere is substantial shortcomings in the implementation of key processes of diabetes care and glycaemic control. Strategies are needed to prompt and compel healthcare providers to implement evidence-based diabetes guidelines during clinic visits in South African PHC.

Process, quality and challenges of diabetes care in primary care: a study of district health network in Thailand.

This study aimed to describe the process of care, assess the quality of care based on defined indicators, and identify challenges associated with providing diabetes care via sub-district health promotion hospital (SHPH) facilities in Thailand. Primary care policy has directed that diabetes care be delivered via SHPH in order to reduce hospital congestion and minimize travel costs for patients. Limited data is available regarding the structure for providing care. Likewise, barriers to delivery of optimal care have not been well defined, especially from the perspective of health care providers. This study employed mixed-methods research, which included semi-structured interviews to gain insights into the current diabetes care process, a descriptive study to evaluate quality of care, and use of a focus group to identify challenges associated with delivery of diabetic care via SHPH. Diabetes care processes in primary care included multiple steps and involved collaboration between various health care providers at both the hospital and SHPH. Four process indicators and one outcome had been achieved but performance of other indicators was apparently low. Three factors were found to pose challenges to providing this service: the resources of the health service, the delivery of services, and patient factors. SHPH require additional support, particularly in the areas of primary care workforce, finance, medical device procurement, and patient information systems. While delivery of diabetes care via primary care centers has been well established in Thailand, regional differences in the quality of care persist. Additional support is required to strengthen the primary care system nationwide.

Evaluating a post-implementation electronic medical record training intervention for diabetes management in primary care

ObjectiveThis study evaluated the potential for electronic medical record (EMR) video tutorials to improve diabetes (type 1 and 2) care processes by primary care physicians (PCP) using OSCAR EMR.DesignA QUAN(qual)...

Effects of a Behavioral Health and Chronic Illness Care Intervention on Patient Outcomes in Primary Care Practices in the Dakotas.

From 2012 to 2015, Sanford Health, a large health care system, integrated behavioral health services and chronic condition care management in some of its primary care practices in the Dakotas and rural Minnesota. Using difference-in-differences analyses for fee-for-service Medicare beneficiaries attributed to 22 participating practices and 91 matched comparison practices, we found that the program increased the receipt of four recommended diabetes care processes by 8.6% (p=.048) and, by slowing the increase in emergency department (ED) visits, reduced them by 4.9% (p=.07) relative to the comparison group. However, the findings are mixed: the program did not affect hospital admissions, readmissions, or Medicare spending. In addition, the program increased admissions for ambulatory care-sensitive conditions by 13.6% (p=.07) relative to the comparison group. Sanford's program provides a concrete example of how to incorporate behavioral health services in primary care in underserved areas with some positive results on quality-of-care processes and ED utilization.

The impact of integrating medical assistants and community health workers on diabetes care management in community health centers

ObjectiveTo compare the impact of implementing team-based diabetes care management involving community health workers (CHWs) vs. medical assistants (MA) in community health centers (CHCs) on diabetes care processes, intermediate outcomes, and patients’ experiences of chronic care.Data sourcesClinical and administrative data (n = 6111) and patient surveys (n = 698) pre-intervention and post-intervention. Surveys (n = 285) and key informant interviews (n = 48) of CHC staff assessed barriers and facilitators of implementation.Study designA three-arm cluster-randomized trial of CHC sites integrating MAs (n = 3) or CHWs (n = 3) for diabetes care management compared control CHC sites (n = 10). Difference-in-difference multivariate regression with exact matching of patients estimated intervention effects.Principal findingsPatients in the CHW intervention arm had improved annual glycated hemoglobin testing (18.5%, p < 0.001), while patients in the MA intervention arm had improved low-density lipoprotein cholesterol control (8.4%, p < 0.05) and reported better chronic care experiences over time (β=7.5, p < 0.001). Except for chronic care experiences (p < 0.05) for patients in the MA intervention group, difference-in-difference estimates were not statistically significant because control group patients also improved over time. Some diabetes care processes improved significantly more for control group patients than intervention group patients. Key informant interviews revealed that immediate patient care issues sometimes crowded out diabetes care management activities, especially for MAs.ConclusionsDiabetes care improved in CHCs integrating CHWs and MAs onto primary care teams, but the improvements were no different than improvements observed among matched control group patients. Greater improvement using CHW and MA team-based approaches may be possible if practice leaders minimize use of these personnel to cover shortages that often arise in busy primary care practices.

Tackling inequalities in diabetes care: a data-led approach from Barking and Dagenham CCG.

The NHS was set up as an equitable healthcare system, free at the point of delivery and equally accessible. The fundamental principle behind the health service was that high-quality health care should be available to all. However, people living in the poorest areas of England are still dying earlier and spending more of their lives living with disability; the variability in health care and outcomes is especially evident in relation to the outcomes of long-term conditions like diabetes. The prevalence of long-term conditions increases incrementally with increasing levels of deprivation, but the quality of care is seen to deteriorate.1 The 2011 Atlas of Variation shows the marked variation in quality of care provision — for example, the percentage of people with type 2 diabetes receiving all nine processes of care for diabetes ranged from 7% to 71.4%.2 Socioeconomic deprivation …

Association between different types of comorbidity and disease burden in patients with diabetes.

This study examined the association between different types of comorbidities and the quality of diabetes care, health-related quality of life (HRQoL), and total health care expenditure. Adult patients with diabetes were identified from the 2011 to 2013 Medical Expenditure Panel Survey, a nationally representative survey of the civilian non-institutionalized US population. Twenty different chronic conditions were captured and categorized as: (i) diabetes only; (ii) diabetes plus concordant (diabetes-related) comorbidity only; and (iii) diabetes plus one or more discordant (non-diabetes-related) comorbidities. Disease burden outcomes included the process of diabetes care (eye and foot examinations, HbA1c and cholesterol tests, influenza vaccination), HRQoL, and total health care expenditure. Multivariable models were used to examine associations between the type of comorbidity and outcomes. A sample of 8292 patients with diabetes was identified, of which 11.4% had diabetes only, 40.5% had concordant comorbidity only, and 48.1% reported one or more discordant comorbidities. Patients with diabetes and either type of comorbidity received better quality of diabetes care than those without a comorbidity. However, patients with discordant comorbidity showed significantly lower HRQoL measures and higher health care expenditure than those with concordant comorbidity. Adjusted total mean annual expenditure was US$4891, $6326, and $9210 for those with diabetes only and those with diabetes with one concordant or one discordant comorbidity, respectively. Higher disease burden in patients with diabetes was associated with discordant rather than concordant comorbidity. Future interventional studies evaluating patient-centered care models addressing different types of comorbidity are necessary to better manage these complex patients.

Interventions using pediatric diabetes registry data for quality improvement: A systematic review.

Diabetes registries contain vast amounts of data that can be used for quality improvement (QI) and are foundational elements of learning health systems; infrastructure to share data, create knowledge rapidly and inform decisions to improve health outcomes. QI interventions using adult diabetes registries are associated with improved glycemic control, complication screening rates, and reduced hospitalizations; pediatric data are limited. To evaluate the effects of QI strategies that use pediatric diabetes registry data on care processes, organization of care, and patient outcomes. We searched MEDLINE, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials, Google, Google Scholar, Directory of Open Access Journals, and diabetes registry websites for studies that evaluated the impact of QI interventions on diabetes care processes, care organization, or patient outcomes, using pediatric diabetes registry data. Two reviewers independently assessed eligibility, extracted data and assessed the risk of bias. Twelve studies were included. Most interventions targeted health-care providers and evaluated effects on patient outcomes. Five of nine studies that evaluated hemoglobin A1c found improvements of 0.26% to 0.85% (2.8-9.3 mmol/mol) while four found no difference. Many report positive effects on care processes or organization. Study data could not be combined because of variable study design and outcome measures. Included studies represent a minority of existing registries. Pediatric diabetes registries are underused for QI and may facilitate improved care and outcomes. Existing vast amount of pediatric registry data could be used to foster the development of learning health systems and to improve diabetes care and outcomes.

Telemedicine in the Management of Type 1 Diabetes.

BackgroundVeterans with type 1 diabetes who live in rural Alabama and Georgia face barriers to receiving specialty diabetes care because of a lack of endocrinologists in the Central Alabama Veterans Health Care System. Telemedicine is a promising solution to help increase access to needed health care. We evaluated telemedicine’s effectiveness in delivering endocrinology care from Atlanta-based endocrinologists.MethodsWe conducted a retrospective chart review of patients who were enrolled in the Atlanta VAMC Endocrinology Telehealth Clinic from June 2014 to October 2016. Outcomes of interest were hemoglobin A1c levels, changes in glycemic control, time savings for patients, cost savings for the US Veterans Health Administration, appointment adherence rates, and patient satisfaction with telehealth.ResultsThirty-two patients with type 1 diabetes received telehealth care and in general received the recommended processes of diabetes care. Patients trended toward a decrease in mean hemoglobin A1c and glucose variability and a nonsignificant increase in hypoglycemic episodes. Patients saved 78 minutes of travel time (one way), and the VA saved $72.94 in travel reimbursements per patient visit. Patients adhered to 88% of scheduled telehealth appointments on average, and 100% of surveyed patients stated they would recommend telehealth to other veterans.ConclusionsSpecialty diabetes care delivered via telemedicine was safe and was associated with time savings, cost savings, high appointment adherence rates, and high patient satisfaction. Our findings support growing evidence that telemedicine is an effective alternative method of health care delivery.

A randomised controlled trail in diabetes demonstrating the positive impact of a patient activation strategy on diabetes processes and HbA1c: The WICKED project.

Background: Patient activation is a demonstration of people participating effectively in their own care as measurable in objective outcomes. Techniques of activating patients are various. Aims: We developed a structured information booklet to promote patient activation and report the 1-year outcomes of a randomised controlled trial assessing its impact on diabetes care processes and on glycaemic control. Design and setting: It is an open label cluster randomised trial involving all people with diabetes aged more than 18 years within Wolverhampton Clinical Commissioning Group. Methods: All people with diabetes were cluster randomised into a group who were multiply mailed (MM) at 0, 3 and 6 months whilst a control group was mailed once at 3 months. Comparison of a Failed Process Score (FPS) between active and control groups was performed at 0, 3 and 12 months and of HbA1c at baseline and 12 months. Results: FPS improved significantly with multiple mailing (p=0.013), with particular impact on those with poor baseline FPS (≥2) (achieved FPS ≤1 at 12 months 49.2% vs. 46.0%, χ2=6.09, p<0.05). Overall HbA1c% across the year (adjusted) was significantly better with MM (p=0.021), with specific impact in those with a baseline HbA1c ≤7.5 (MM HbA1c% 6.7±0.07 (mean±SEM) vs. 7.0±0.09; mean±SEM difference 0.3±0.1, F=11.1, p=0.009). Conclusion: The direct provision of structured information to people with diabetes activates them to engage in their care delivery as reflected in care process and glycaemic control outcomes.

Impact of primary care on hospital admission rates for diabetes patients: A systematic review

High-quality primary care for diabetes patients may be related to lowered hospital admissions. A systematic search was performed to assess the impact of structure, process, and outcome of primary diabetes care on hospital admission rates, considering patient characteristics. Studies on diabetes patients in primary care with hospitalisation rates as outcomes published between January 1996 and December 2015 were included. Indicators of quality of care (access, continuity and structure of care, process, and outcome indicators) and patient characteristics (age, gender, ethnicity, insurance, socio-economic status, diabetes characteristics, co-morbidity, and health-related lifestyle) were extracted. After assessment of the strength of evidence, characteristics of care and diabetes patients were presented in relation to the likelihood of hospitalisation. Thirty-one studies were identified. A regular source of primary care and a well-controlled HbA1c level decreased the likelihood of hospitalisation. Other aspects of care were less consistent. Patients' age, co-morbidity, and socio-economic status were related to higher hospitalisation. Gender and health-related lifestyle showed no relationship. Studies were heterogeneous in design, sample, and healthcare system. Different definitions of diabetes and unscheduled admissions limited comparisons. In healthcare systems where diabetes patients have a regular source of primary care, hospital admission rates cannot be meaningfully related to primary care characteristics.

The Impact of Patient-Centered Medical Homes on Quality of Care and Medication Adherence in Patients with Diabetes Mellitus.

Current evidence suggests that patient-centered medical homes (PCMHs) potentially increase overall quality of disease management, including preventive care. However, there are mixed findings regarding quality of diabetes care, and little evidence exists with respect to the effect of PCMHs on medication adherence in patients with diabetes. To investigate associations between PCMHs and process measures of diabetes care, as well as adherence to oral hypoglycemic agents (OHAs) in patients with diabetes in a nationally representative U.S. Using the 2009-2013 longitudinal data files from the Medical Expenditure Panel Survey, adult diabetes patients were identified. Patients whose usual sources of care have all PCMH features at baseline (i.e., enhanced access after hours and online, shared decision making, and enhanced patient engagement) were categorized as the PCMH group, which was compared with patients without PCMH features. Process measures of diabetes care included ≥ 2 hemoglobin A1c tests and ≥ 1 cholesterol test, foot examination, dilated eye examination, and flu vaccination during 1 year of follow-up. Medication possession ratio (MPR) during follow-up was calculated for patients with OHAs without any insulin use, with MPR ≥ 80% considered to be adherent to OHAs. Univariate and multivariate regression models considering sampling strata and weights were used to examine the association between the PCMH and study outcomes. A total of 3,334 patients with diabetes was identified, representing 61 million U.S. lives. The mean (SE) age was 61.6 (0.3) years, and 52.4% of patients were female. The mean (SE) years of having diabetes was 12.0 (0.2) years. Approximately 11.4% of the patients were categorized as the PCMH group at baseline, and only 3.6% of those patients remained in the PCMH group for 2 years. Of the diabetic patients identified, only 26.9% met all of the diabetes care process measure criteria defined in this study. A higher proportion of patients met process measure criteria in the PCMH group compared with the non-PCMH group (33.8% vs. 26.0%, respectively, P = 0.015). The weighted mean MPR (95% CI) of OHAs from the 2 groups were not statistically different (0.68, 95% CI = 0.63-0.74 for the PCMH group; 0.77, 95% CI = 0.72-0.82 for the non-PCMH group, P = 0.675), resulting in 47.4% of adherent patients in the study population. Overall, the PCMH group was associated with improvement in the process measures of diabetes care (adjusted odds ratios [OR] = 1.42, 95% CI = 1.06-1.91). The effect was greater among the patients who stayed in the PCMH group for 2 years (OR = 2.09, 95% CI = 1.27-3.45); were aged < 65 years (OR = 2.19, 95% CI = 1.47-3.28); or had less than 3 comorbid conditions (OR = 2.38, 95% CI = 1.46-3.88). However, the PCMH group was not associated with an increased adherence to OHAs (P = 0.495) or an increase in MPR (P = 0.570). Patients with all PCMH features were associated with improvement in the process measures of diabetes care, but not in adherence to OHAs. Future studies should investigate the mechanism of PCMHs in overall quality of care, as well as medication adherence. No outside funding supported this study. The author reports no conflicts of interests.

Clinic Workload, the Quality of Staff Relationships and Diabetes Management in Community Health Centers Catering to Latino and Chinese Patients.

We examine whether workplace climate-quality of staff relationships (QSR) and manageable clinic workload (MCW) are related to better patient care experiences and diabetes care in community health centers (CHCs) catering to Latino and Chinese patients. Patient experience surveys of adult patients with type 2 diabetes and workplace climate surveys of clinicians and staff from CHCs were included in an analytic sample. Comparisons of means analyses examine patient and provider characteristics. The associations of QSR, MCW and the diabetes care management were examined using regression analyses. Diabetes care process were more consistently provided in CHCs with high quality staff relations and more manageable clinic workload, but HbA1c, LDL cholesterol, and blood pressure outcomes were no different between clinics with high vs. low QSR and MCW. Focusing efforts on improvements in practice climate may lead to more consistent provision of important processes of diabetes care for these patients.