Population, general practitioner and practice characteristics are associated with screening procedures for microvascular complications in Type 2 diabetes care in Norway

Effects of a national checklist on recommended procedures among patients with type 2 diabetes

BACKGROUND

Type 2 diabetes (T2D) is a common, potentially disabling, and costly chronic condition that requires consistent management. In 2008, Norway introduced a national checklist outlining services to include in an annual T2D exam, along with a reimbursement code for general practitioners (GPs) to bill upon completing it. This study investigates whether GP adoption of the checklist improves adherence to recommended services for T2D patients.

METHODS

To investigate the impact of GP checklist adoption, we use Norwegian registry data from 2006 to 2021 and apply two difference-in-differences (DID) methods that account for staggered adoption timing: the two-way fixed effects (TWFE) estimator and Callaway and Sant'Anna's DID method for variation in exposure timing (CSDID) (Callaway B. et al., J Econom 225:200-30, 2021).

RESULTS

We find that installing the electronic form has modest effects on the use of some recommended procedures.

CONCLUSIONS

Our study suggests that using the electronic form can have a positive effect on recommended services. However, the modest impact indicates that installing the form does not necessarily translate into its active regular use.

Insulin initiation in patients with type 2 diabetes is often delayed, but access to a diabetes nurse may help-insights from Norwegian general practice

Objective: We opted to study how support staff operational capacity and diabetes competences may impact the timeliness of basal insulin-initiation in general practice patients with type 2 diabetes (T2D).Design/Setting/Outcomes: This was an observational and retrospective study on Norwegian primary care patients with T2D included from the ROSA4-dataset. Exposures were (1) support staff size, (2) staff size relative to number of GPs, (3) clinic access to a diabetes nurse and (4) share of staff with diabetes course (1 and 2 both relate to staff operational capacity, whereas 3 and 4 are both indicatory of staff diabetes competences). Outcomes were 'timely basal insulin-initiation' (primary) and 'attainment of HbA1c<7%' after insulin start-up (secondary). Associations were analyzed using multiple linear regression, and directed acyclic graphs guided statistical adjustments.Subjects: Insulin naïve patients with 'timely' (N = 294), 'postponed' (N = 219) or 'no need of' (N = 3,781) basal insulin-initiation, respectively.Results: HbA1c [median (IQR)] increased to 8.8% (IQR, 8.0, 10.2) prior to basal insulin-initiation, which reduced HbA1c to 7.3 (6.8-8.1) % by which only 35% of the subjects reached HbA1c <7%. Adjusted risk of 'timely basal insulin-initiation' was more than twofold higher if access to a diabetes nurse (OR = 2.40, [95%CI, 1.68, 3.43]), but related only vaguely to staff size (OR = 1.01, [95%CI, 1.00, 1.03]). No other staff factors related significantly to neither the primary nor the secondary outcome.Conclusion: In Norwegian general practice, insulin initiation in people with T2D may be affected by therapeutic inertia but access to a diabetes nurse may help facilitating more timely insulin start-up.

Albuminuria Screening in People With Type 2 Diabetes in a Managed Care Organization

INTRODUCTION

Albuminuria-an increased amount of urine albumin, in milligrams, adjusted for grams of urine creatinine-is an early marker of diabetic kidney disease. Several new classes of medications are now available that effectively lower albuminuria levels with the potential to delay or prevent the progression of diabetic kidney disease. However, screening for albuminuria in the U.S. is low in population-based studies (<10% to ∼50% at most). In this study, we examine whether screening for albuminuria was improved in an integrated model of healthcare delivery following the recommendations of the National Committee for Quality Assurance mandate (an umbrella group for the managed healthcare industry) to screen for albuminuria.

METHODS

We examined screening for albuminuria over a 2-year period among people with Type 2 diabetes in a U.S. HMO with an electronic medical record, onto which automated laboratory ordering for albuminuria could be added when a patient appeared at the laboratory (for any reason) if albuminuria testing had not been obtained within the previous 365 days. Participants under this plan received diabetes education at no cost and panel managers to guide their diabetes care. Logistic regression using data from 2020 and 2021, separately, evaluated the relationship between patient characteristics and the likelihood of albuminuria screening.

RESULTS

There were 20,688 and 22,487 participants with Type 2 diabetes mellitus in 2020 and 2021, respectively, who were analyzed. Approximately 80% were screened for albuminuria in both years. African American participants and those aged >64 years were more likely to have completed albuminuria screening. Screened individuals had lower HbA1c, blood pressure, and low-density lipoprotein cholesterol levels than those who were not screened.

CONCLUSIONS

In an integrated healthcare model, it is possible to achieve consistently high rates of albuminuria screening in people with Type 2 diabetes, especially in groups at high risk for kidney disease.

Study on the determinants of health professionals' performance on diabetes management care in China

BACKGROUND

As the direct providers of diabetes management care in primary health care facilities (PHFs) in China, health professionals' performance on management care of diabetes determines the quality of services and patients' outcomes. This study aims to analyze the key determinants of health professionals' performance on diabetes management care in PHFs in China.

METHODS

We conducted a cross-sectional study in 72 PHFs in 6 cities that piloted the contracted family doctor service (CFDS). Self-developed questionnaire was used to measure three kinds of factors (capacity, motivation and opportunity) potentially influencing the performance of health professionals. The performance of diabetes management care in the study was measured as whether health professionals delivered 7 service items required by the National Basic Public Health Service Guideline with a total of 7 points and was divided into three grades of good, medium and bad. The questionnaire is self-administered by all the health professionals involved in the study with the number of 434. The Chi-square tests were used to compare differences of performance on diabetes management care among health professionals with different characteristics. The ordinal logistic regression was used to analyze the determinants on the performance of diabetes management care.

RESULTS

Health professionals who got higher score on diabetes knowledge test had odds of better performance on diabetes management care (OR = 1.529, P < 0.001). health professionals with higher degree of self-reported satisfaction on training (OR = 1.224, P < 0.05) and perception of decreasing workload (OR = 3.336, P < 0.01) had odds of better performance on diabetes management care. While health professionals with negative feeling on information system support had odds of worse performance on diabetes management care (OR = 0.664, P < 0.01).

CONCLUSIONS

Attention should be paid to the training of health professionals' knowledge on diabetes management capacity. Furthermore, measures to improve training for health professionals could satisfying their needs for self-growth and improve the motivation of health professionals. The information system supporting management care should be improved continuously to improve the health professionals' working opportunities and decrease the workload.

Technology adoption by primary care physicians

We study primary care physicians' prevention and monitoring technology adoption. Physicians' adoption decisions are based on benefits and costs, which depend on payment incentives, educational assistance, and market characteristics. The empirical study uses national Norwegian register and physician claims data between 2009 and 2014. In 2006, a new annual comprehensive checkup for Type 2 diabetic patients was introduced. A physician collects a fee for each checkup. In 2013, an education assistance program was introduced in two Norwegian counties. We estimate adoption decisions by fixed-effect regressions, and two-part and hazard models. We use a difference-in-difference model to estimate the education program impact. Fixed-effect estimations and separate analyses of physicians who have moved between municipalities support a peer effect. The education program has a strongly positive effect, which is positively associated with a physician's number of diabetic patients, and the fraction of physician-adopters in the same market.

Effectiveness of quality of care for patients with type 2 diabetes in China: findings from the Shanghai Integration Model (SIM)

This cross-sectional study aimed to investigate the quality of care of diabetes in Shanghai, China. A total of 173 235 patients with type 2 diabetes in 2017 were included in the analysis. Profiles of risk factors and intermediate outcomes were determined. The patients had a mean age of 66.43 ± 8.12 (standard deviation (SD)) years and a mean diabetes duration of 7.95 ± 5.53 (SD) years. The percentage of patients who achieved the target level for HbA_1c (< 7.0%) was 48.6%. Patients who achieved the target levels for blood pressure (BP) < 130/80 mmHg and low-density lipoprotein-cholesterol (LDL-c) < 2.6 mmol/L reached 17.5% and 34.0%, respectively. A total of 3.8% achieved all three target levels, and the value increased to 6.8% with an adaptation of the BP target level (< 140/90 mmHg) for those over 65 years. Multivariable analysis identified the factors associated with a great likelihood of achieving all three target levels: male, young age, short diabetes duration, low body mass index, macrovascular complications, no microvascular complications, prescribed with lipid-lowering medication, and no prescription of antihypertensive medication. In conclusion, nearly 50% and one-third of the patients with diabetes met the target levels for HbA_1c and LDL-c, respectively, with a low percentage achieving the BP target level. The percentage of patients who achieved all three target levels needs significant improvement.

Sex Disparities in Cardiovascular Risk Factor Assessment and Screening for Diabetes-Related Complications in Individuals With Diabetes: A Systematic Review

Background

Insight in sex disparities in the detection of cardiovascular risk factors and diabetes-related complications may improve diabetes care. The aim of this systematic review is to study whether sex disparities exist in the assessment of cardiovascular risk factors and screening for diabetes-related complications.

Methods

PubMed was systematically searched up to April 2020, followed by manual reference screening and citations checks (snowballing) using Google Scholar. Observational studies were included if they reported on the assessment of cardiovascular risk factors (HbA1c, lipids, blood pressure, smoking status, or BMI) and/or screening for nephropathy, retinopathy, or performance of feet examinations, in men and women with diabetes separately. Studies adjusting their analyses for at least age, or when age was considered as a covariable but left out from the final analyses for various reasons (i.e. backward selection), were included for qualitative analyses. No meta-analyses were planned because substantial heterogeneity between studies was expected. A modified Newcastle-Ottawa Quality Assessment Scale for cohort studies was used to assess risk of bias.

Results

Overall, 81 studies were included. The majority of the included studies were from Europe or North America (84%).The number of individuals per study ranged from 200 to 3,135,019 and data were extracted from various data sources in a variety of settings. Screening rates varied considerably across studies. For example, screening rates for retinopathy ranged from 13% to 90%, with half the studies reporting screening rates less than 50%. Mixed findings were found regarding the presence, magnitude, and direction of sex disparities with regard to the assessment of cardiovascular risk factors and screening for diabetes-related complications, with some evidence suggesting that women, compared with men, may be more likely to receive retinopathy screening and less likely to receive foot exams.

Conclusion

Overall, no consistent pattern favoring men or women was found with regard to the assessment of cardiovascular risk factors and screening for diabetes-related complications, and screening rates can be improved for both sexes.

Variation in the achievement of HbA1c , blood pressure and LDL cholesterol targets in type 2 diabetes in general practice and characteristics associated with risk factor control

AIMS

To identify population, general practitioner, and practice characteristics associated with the achievement of HbA_1c , blood pressure and LDL cholesterol targets, and to describe variation in the achievement of risk factor control.

METHODS

We conducted a cross-sectional survey of 9342 people with type 2 diabetes, 281 general practitioners and 77 general practices in Norway. Missing values (7.4%) were imputed using multiple imputation by chained equations. We used three-level logistic regression with the achievement of HbA_1c , blood pressure and LDL cholesterol targets as dependent variables, and factors related to population, general practitioners, and practices as independent variables.

RESULTS

Treatment targets were achieved for HbA_1c in 64%, blood pressure in 50%, and LDL cholesterol in 52% of people with type 2 diabetes, and 17% met all three targets. There was substantial heterogeneity in target achievement among general practitioners and among practices; the estimated proportion of a GPs diabetes population at target was 55-73% (10-90 percentiles) for HbA_1c , 36-63% for blood pressure, and 47-57% for LDL cholesterol targets. The models explained 11%, 5% and 14%, respectively, of the total variation in the achievement of HbA_1c , blood pressure and LDL cholesterol targets. Use among general practitioners of a structured diabetes form was associated with 23% higher odds of achieving the HbA_1c target (odds ratio 1.23, 95% confidence interval (CI) 1.02-1.47) and 17% higher odds of achieving the LDL cholesterol target (odds ratio 1.17, 95% CI 1.01-1.35).

CONCLUSIONS

Clinical diabetes management is difficult, and few people meet all three risk factor control targets. The proportion of people reaching target varied among general practitioners and practices. Several population, general practitioner and practice characteristics only explained a small part of the total variation. The use of a structured diabetes form is recommended.