Geography does not limit optimal diabetes care: use of a tertiary centre model of care in an outreach service for type 1 diabetes mellitus

Paediatric diabetes-related presentations to emergency departments in Victoria, Australia from 2008 to 2018

OBJECTIVES

Despite significant treatment advances in paediatric diabetes management, ED presentations for potentially preventable (PP) complications such as diabetic ketoacidosis (DKA) remains a major issue. We aimed to examine the characteristics, rates and trends of diabetes-related ED presentations and subsequent admissions in youth aged 0-19 years from 2008 to 2018.

METHODS

Data were obtained from the Victorian Emergency Minimum Dataset and the National Diabetes Register. A diabetes-related ED presentation is defined using the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification diagnosis codes. 'Non-preventable' presentations were the number of youths with newly diagnosed diabetes, and the remaining are classified as PP diabetes-related presentations. Poisson regression model was used to examine the trends in incidence rate and prevalence.

RESULTS

Four thousand eight hundred and seventy-two (59%) of 8220 presentations were PP, 4683 (57%) were for DKA whereas 6200 (82%) required hospital admission. Diabetes-related ED presentations decreased from 38.4 to 27.5 per 100 youth with diabetes per year between 2008 and 2018 (β = -0.04; confidence interval [CI] -0.04 to -0.03; P < 0.001). Females, those aged 0-4 years and rural youth had higher rates of ED presentations than males, older age groups and metropolitan youth. DKA presentations decreased from 20.1 presentations per 100 youth with diabetes in 2008-2009 to 14.9 presentations per 100 youth with diabetes in 2017-2018. The rate of DKA presentations was 68% higher in rural areas compared to metropolitan areas (incidence rate ratio 1.68; CI 1.59-1.78; P < 0.001).

CONCLUSIONS

Although the rates of diabetes-related ED presentations declined, PP diabetes-related presentations and subsequent hospitalisation remain high. Patient level research is required to understand the increased DKA presentations in rural youth.

Healthcare Utilization and Adherence to Treatment Recommendations among Children with Type 1 Diabetes in Poland during the COVID-19 Pandemic

Type 1 diabetes mellitus (T1D) is, next to obesity and asthma, the most common chronic disease in children in Poland. The results of T1D treatment strongly depend on the patient’s compliance with therapeutic recommendations, which entails the use of necessary health services. Based on a retrospective analysis of the data on health services provided in 2016–2020 to over 15.5 thousand patients with T1D in Poland, we assessed the compliance of the actual model of treatment of T1D in children with the current guidelines. It was found that only about 50% of patients received the number of diabetes consultations corresponding to the recognized standards, with about 15% of children with T1D remaining outside the public healthcare system. In the case of many outpatient services (ophthalmological, neurological, mental health), the number of consultations was extremely low—one order of magnitude lower than in general population and dropped even lower in 2020. This shows that the health needs of children with T1D are not being met within the public healthcare system. The COVID-19 pandemic caused significant limitations in access to healthcare in Poland. Compared to the pre-pandemic period there was a significant decrease (−27% compared to 2019) in the number of hospitalizations, and a substantial increase (+22% compared to 2019) in the number of diabetic ketoacidoses (DKA) cases. The proportion of hospitalizations caused by DKA rose to 8.9% compared to 7.3% in 2019.

Assessing guideline adherence in the management of type 1 diabetes mellitus in Australian children: a population-based sample survey

INTRODUCTION

To estimate adherence to clinical practice guidelines in selected settings at a population level for Australian children with type 1 diabetes mellitus.

RESEARCH DESIGN AND METHODS

Medical records of children with type 1 diabetes mellitus aged 0-15 years in 2012-2013 were targeted for sampling across inpatient, emergency department and community visits with specialist pediatricians in regional and metropolitan areas and tertiary pediatric hospitals in three states where approximately 60% of Australian children reside. Clinical recommendations extracted from two clinical practice guidelines were used to audit adherence. Results were aggregated across types of care (diagnosis, routine care, emergency care).

RESULTS

Surveyors conducted 6346 indicator assessments from an audit of 539 healthcare visits by 251 children. Average adherence across all indicators was estimated at 79.9% (95% CI 69.5 to 88.0). Children with type 1 diabetes mellitus have higher rates of behavioral and psychological disorders, but only a third of children (37.9%; 95% CI 11.7 to 70.7) with suboptimal glycemic control (eg, hemoglobin A1c >10% or 86 mmol/mol) were screened for psychological disorders using a validated tool; this was the only indicator with <50% estimated adherence. Adherence by care type was: 86.1% for diagnosis (95% CI 76.7 to 92.7); 78.8% for routine care (95% CI 65.4 to 88.9) and 83.9% for emergency care (95% CI 78.4 to 88.5).

CONCLUSIONS

Most indicators for care of children with type 1 diabetes mellitus were adhered to. However, there remains room to improve adherence to guidelines for optimization of practice consistency and minimization of future disease burden.

A Cross-Sectional Pilot Survey of Rural Clinic Attitudes and Proficiency with Insulin Pumps and Continuous Glucose Monitoring Devices

Purpose: To examine the perceptions, proficiencies, and barriers of diabetes device use among rural clinic providers. Methods: A total of 210 surveys were sent through e-mail and/or U.S. Postal Service to rural clinics throughout Alaska, Idaho, Montana, Oregon, Washington, and Utah based on discussions with rural clinic network leadership in the states. Responses were included if the participant was 18 years of age and older, and worked at a rural clinic as a physician, physician assistant, nurse, nurse practitioner, allied health worker, or clinic manager. Results: Respondents included clinic management (13%), midlevel providers (physician assistants and nurse practitioners) and allied health workers (pharmacists, dietitians, and social workers, 30.8%), nurses (30.8%), and physicians (23.1%). We had a low response rate (20%; n = 41), but of those who said they work with patients who have diabetes, only 47.4% indicated that they use diabetes devices as part of their patients' treatment. The most common barrier reported among respondents suggested that additional medical team expertise is needed in their community or clinic to adopt insulin pumps and/or continuous glucose monitoring for qualified patients (75.9% and 80.8%, respectively). Conclusion: Lack of provider experience and having patients managed by out-of-area experts were the biggest reasons for providers not seeing or managing patients using these devices. Lack of provider access, patient satisfaction with current diabetes regimens, unsupportive health care team, patient literacy, and patient fear showed limited to negligible endorsements from survey respondents. A variety of potential solutions to this problem of limited provider experience and training are also offered.

Type 1 diabetes outcomes: Does distance to clinic matter?

BACKGROUND AND OBJECTIVES

To access care, pediatric type 1 diabetes (T1D) patients living in British Columbia (BC), Canada, travel to the sole tertiary pediatric hospital (BC Children's Hospital; BCCH), or they receive community care from pediatric endocrinologists and/or pediatricians. We sought to determine whether hemoglobin A1_C (HbA_1C ) and patient-reported outcomes were associated with (1) distance to clinic and (2) tertiary vs community care.

METHODS

Patients were recruited from T1D clinics across BC. Clinical chart review and patient surveys were completed, including the Diabetes Treatment Satisfaction Questionnaire (DTSQ). Clinic type was categorized as tertiary (BCCH) or community, and the travel time to BCCH was categorized as <1 hour, 1 to 2 hours, or >2 hours.

RESULTS

There were 189 participants. Age and duration of T1D were similar across groups. Mean number of visits/year for BCCH groups were 2.23, 2.24, and 2.05 for the <1-hour, 1- to 2-hour, and >2-hour groups, respectively, vs 3.26 for the community group. Adjusted mean difference in HbA_1C was +0.65% (95% confidence interval [CI]: 0.15, 1.15) and +0.52% (95% CI: 0.02, 1.02) for the BCCH >2-hour group compared to the BCCH <1-hour group and community groups, respectively. Child DTSQ scores were significantly lower in the BCCH >2-hour group compared to the BCCH <1-hour and community groups.

CONCLUSIONS

Children traveling >2 hours to T1D clinic at BCCH had significantly higher HbA_1C values and lower satisfaction with care vs those traveling <1 hour to BCCH and those receiving community care. Access to care closer to home may benefit glycemic control in children with T1D and improve treatment satisfaction. Future research should determine whether these findings can be replicated in other regions.

The clinician factor: Personality characteristics of clinicians and their impact upon clinical outcomes in the management of children and adolescents with type 1 diabetes

OBJECTIVE

The purpose of this study was to estimate clinician qualities that influence metabolic outcomes in youth with type 1 diabetes.

RESEARCH DESIGN AND METHODS

Data were gathered over two 3 month periods in a large tertiary diabetes center (1500 patients, 8 clinicians) from patients with type 1 diabetes who received continuous care from each clinician. Data included sex, age, diabetes duration, insulin regimen, body mass index (BMI), insulin dose and episodes of severe hypoglycemia. Clinician data included target blood glucose levels, target glycated hemoglobin (HbA1c), Diabetes Attitude Scale and Big 5 Personality Inventory Scale. Mean HbA1c per clinician was the primary outcome variable.

RESULTS

The 8 clinicians saw a total of 464 patients during the first time period, and 603 in the second time period. Lowest to highest mean HbA1c per clinician varied by 0.7%. There were small but statistically significant differences between clinicians with their patients' age at diagnosis, duration of diabetes, age, gender, treatment type and BMI SD score. After controlling for these differences, the clinician characteristics that were associated with lower mean HbA1c were having no lower limit in target HbA1c and being self-reportedly "less agreeable." The impact of these clinician attitudinal traits was equivalent to the combined effects of patient characteristics and treatment type.

CONCLUSIONS

There was a significant variation in metabolic outcomes between treating clinicians. After controlling for patient clinical differences, clinician mean HbA1c was associated with lower limit in target HbA1c and being "less agreeable." Clinicians who were more demanding and dogmatic appeared to have better outcomes.

Service distribution and models of rural outreach by specialist doctors in Australia: a national cross-sectional study

Objective This paper describes the service distribution and models of rural outreach by specialist doctors living in metropolitan or rural locations. Methods The present study was a national cross-sectional study of 902 specialist doctors providing 1401 rural outreach services in the Medicine in Australia: Balancing Employment and Life study, 2008. Five mutually exclusive models of rural outreach were studied. Results Nearly half of the outreach services (585/1401; 42%) were provided to outer regional or remote locations, most (58%) by metropolitan specialists. The most common model of outreach was drive-in, drive-out (379/902; 42%). In comparison, metropolitan-based specialists were less likely to provide hub-and-spoke models of service (odd ratio (OR) 0.31; 95% confidence interval (CI) 0.21–0.46) and more likely to provide fly-in, fly-out models of service (OR 4.15; 95% CI 2.32–7.42). The distance travelled by metropolitan specialists was not affected by working in the public or private sector. However, rural-based specialists were more likely to provide services to nearby towns if they worked privately. Conclusions Service distribution and models of outreach vary according to where specialists live as well as the practice sector of rural specialists. Multilevel policy and planning is needed to manage the risks and benefits of different service patterns by metropolitan and rural specialists so as to promote integrated and accessible services. What is known about this topic? There are numerous case studies describing outreach by specialist doctors. However, there is no systematic evidence describing the distribution of rural outreach services and models of outreach by specialists living in different locations and the broad-level factors that affect this. What does this paper add? The present study provides the first description of outreach service distribution and models of rural outreach by specialist doctors living in rural versus metropolitan areas. It shows that metropolitan and rural-based specialists have different levels of service reach and provide outreach through different models. Further, the paper highlights that practice sector has no effect on metropolitan specialists, but private rural specialists limit their travel distance. What are the implications for practitioners? The complexity of these patterns highlights the need for multilevel policy and planning approaches to promote integrated and accessible outreach in rural and remote Australia.