The cost of diagnosing Type 2 diabetes mellitus by clinical opportunistic screening in general practice

Assessing the Effectiveness of Type 2 Diabetes Screening in the Republic of Uzbekistan

BACKGROUND

Type 2 diabetes (T2D) screening should be performed continuously at the primary care level in order to prevent disabling complications. Due to the high prevalence of undiagnosed T2D in the Republic of Uzbekistan, a decision was made to implement a nationwide screening program for T2D.

OBJECTIVES

The current study, taking into account the limited resources of Uzbekistan's health care system, aimed to offer the most effective, simple, and economical option required for the actual implementation of regular T2D screening in the country's primary care.

METHODS

The screening was conducted from December 2018 to March 2019. There were four different scenarios, which differed in terms of eligibility criteria and the methodology adopted for detecting dysglycemia.

RESULTS

A total of 2,430 patients were examined in four months. The T2D diagnosis was established by an endocrinologist in 9.3% of the cases with one eligibility criterion and 15.9% of the cases with three eligibility criteria. The diagnosis of T2D was established by an endocrinologist in 11.7% of the cases with HbA1c screening and 13.5% of the cases with glucose screening.

CONCLUSIONS

The screening was feasible in Uzbekistan only in limited conditions. The reasonable strategy was found to be the screening for incidental glycemia in all patients with at least one T2D risk factor. It was recommended that patients with incidental glycemia ≥ 7.8 mmol/L should be tested for fasting glycemia.

How to improve opportunistic screening by using EMRs and other data. The prevalence of undetected diabetes mellitus in target population in Croatia

OBJECTIVES

Opportunistic screening for type 2 diabetes (T2D) has not been adopted as part of routine practice. The aim of the study was to investigate the yield of opportunistic target screening for T2D in Croatia and to evaluate the process of screening by using data from electronic medical record.

STUDY DESIGN

We conducted opportunistic screening in 23 general practitioners (GPs) in a population of 13,344 patients aged 45-70 years.

METHODS

First, after excluding patients with T2D, patients with risk factors for T2D were derived from the electronic medical record and GP's assessment during the preconsultation phase. Second, those with data about normoglycemia in past three years were excluded. Remaining patients started the consultation phase during their usual visit, when they were offered capillary fasting plasma glucose testing in the next consultation.

RESULTS

Prevalence of T2D was 10.9% (new 1.4%). A total of 5568 (46.1%) patients had risks and 2849 (51.2%) had data about normoglycemia in the last three years. Using those data, number needed to invite to screening (NNI) was reduced to half: from 46.1% to 22.5%. One hundred eighty-four patients were screened positive for T2D in two capillary fasting plasma glucose tests (yield 9.8%). Number needed to screen (NNS) in order to detect one T2D was 10.3 patients. Among risks for T2D, overweight was the best predictive factor for undiagnosed T2D (odds ratio [OR]: 2.11, confidence interval [CI]:1.41-3.15, P < .001). Logistic regression showed that in targeted population, overweight patients with a family history in fold were 2.5 times more likely to have T2D (OR: 2.54, CI 1.78-.61, P < .001).

CONCLUSIONS

Total yield in targeted population was 1,4%. By using data about normoglycemia from EMRs, NNI was reduced by half and NNS was 10.3 patients. Our findings suggest the model for improvement in opportunistic screening.

Effect of mobile reminders on screening yield during opportunistic screening for type 2 diabetes mellitus in a primary health care setting: A randomized trial

Objective. We wanted to study whether mobile reminders increased follow-up for definitive tests resulting in higher screening yield during opportunistic screening for diabetes. Methods. This was a facility-based parallel randomized controlled trial during routine outpatient department hours in a primary health care setting in Puducherry, India (2014). We offered random blood glucose testing to non-pregnant non-diabetes adults with age >30 years (667 total, 390 consented); eligible outpatients (random blood glucose ≥ 6.1 mmol/l, n = 268) were requested to follow-up for definitive tests (fasting and postprandial blood glucose). Eligible outpatients either received (intervention arm, n = 133) or did not receive mobile reminder (control arm, n = 135) to follow-up for definitive tests. We measured capillary blood glucose using a glucometer to make epidemiological diagnosis of diabetes. The trial was registered with Clinical Trial Registry of India (CTRI/2014/10/005138). Results. 85.7% of outpatients in intervention arm returned for definitive test when compared to 53.3% in control arm [Relative Risk = 1.61, (0.95 Confidence Interval — 1.35, 1.91)]. Screening yield in intervention and control arm was 18.6% and 10.2% respectively. Etiologic fraction was 45.2% and number needed to screen was 11.9. Conclusion. In countries like India, which is emerging as the diabetes capital of the world, considering the wide prevalent use of mobile phones, and real life resource limited settings in which this study was carried out, mobile reminders during opportunistic screening in primary health care setting improve screening yield of diabetes.

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First RCT to determine the effect of mobile reminders on screening yield for diabetes mellitus.

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Operational research conducted in real world primary health care setting.

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Outpatients with random blood glucose ≥ 6.1 mmol/l among adults >30y were eligible for definitive tests.

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Mobile reminders for eligible outpatients was introduced as a reminder system.

A novel model enhances HbA1c-based diabetes screening using simple anthropometric, anamnestic, and demographic information

BACKGROUND

The sensitivity of HbA1c is not optimal for the screening of patients with latent diabetes. We hypothesize that simple healthcare information could improve accuracy.

METHODS

We retrospectively analyzed data, including HbA1c, from multiple years from the National Health and Nutrition Examination Survey (NHANES) database (2005-2010). The data were used to create a logistic regression classification model for screening purposes.

RESULTS

The study evaluated data for 5381 participants, including 404 with undiagnosed diabetes. The HbA1c screening data were supplemented with information about age, waist circumference, and physical activity in the HbA1c+ model. Alone, HbA1c alone had a receiver operating characteristics (ROC) curve for the area under the curve (AUC) of 0.808 (95% confidence interval [CI] 0.792-0.834). The HbA1c+ model had an ROC AUC of 0.851 (95% CI 0.843-0.872). There was a significant difference in the AUC between our model and using HbA1c without supplementary information (P < 0.05).

CONCLUSIONS

We have developed a novel screening model that could help improve screening for type 2 diabetes with HbA1c. It seems beneficial to systematically add additional patient healthcare information in the process of screening with HbA1c.

Prevalence and cost of possibly unnecessary venous blood glucose measurements in primary care

The American Diabetes Association issues annually its recommendations for diabetes mellitus screening. Although there is a high proportion of people with undiagnosed diabetes in the general population, it is suspected that many of these screening tests could be needless. An analysis was made of the number of venous blood glucose measurements that did not meet the American Diabetes Association requirements performed in 150 people seen in primary care. On average, an unnecessary venous blood glucose measurement is performed every 15 months. The number is significantly higher in people over 45 years of age, and also in women as compared to men (although with a p value slighty higher than 0.05).