Consistent service use before the COVID-19 pandemic predicted the continuity of face-to-face appointments during the lockdown among type 2 diabetes patients.

INTRODUCTION: The COVID-19 pandemic affected diabetes care among type 2 diabetes (T2D) patients. However, it is not known whether the observed changes in care concern all T2D patients equally. We examined the changes in health service usage and treatment outcomes among T2D patients according to the pre-pandemic follow-up activity. METHODS: We analysed electronic health records of 11 083 T2D patients in North Karelia, Finland (March 2017-March 2021), categorizing them by pre-pandemic T2D-related in-person contact frequency. We focused on HbA1c and LDL measurement activity and treatment targets as care indicators. RESULTS: Overall, health service usage and recording rates for HbA1c and LDL decreased during the pandemic. They decreased most but stayed at the highest level among patients with the most consistent pre-pandemic face-to-face service use, characterised by the highest proportion of comorbidities and elevated HbA1c. Their treatment outcomes were not negatively affected. In contrast, service usage and measurement activities increased among those with no pre-pandemic contact. CONCLUSION: Those with consistent pre-pandemic service use and greater service needs were more likely to seek face-to-face care despite the lockdown, and no negative effect on treatment outcomes was seen.

Effects of COVID-19 Pandemic and Lockdown on Monitoring and Treatment Balance of Finnish Coronary Heart Disease and Type 2 Diabetes Patients.

Purpose: We aimed to examine the effect of the COVID-19 pandemic and lockdown on monitoring and treatment balance of Finnish coronary heart disease (CHD) and type 2 diabetes (T2D) patients. Patients and Methods: We used data from the electronic health records on 1604 CHD and 10,136 T2D patients aged 18‒85 years in Eastern Finland. Measurement and levels of low-density lipoprotein cholesterol (LDL) of CHD patients and glycated haemoglobin (HbA1c) of T2D patients were assessed monthly during January 2019-June 2021. Interrupted time-series analysis design was utilized to examine the effect of the lockdown on proportion of patients monitored and treatment balance. Results: Reductions in frequencies of LDL testing of CHD and HbA1c testing of T2D patients were observed during the national lockdown. Downward trend in average LDL was observed from January 2019 until June 2021. Average HbA1c values increased from January 2019 to March 2020 with an additional increase by 2.04 mmol/mol (0.80 to 3.29) in April 2020. However, there was a downward trend in monthly average HbA1c during the lockdown until June 2021 with an additional change in level by 0.61 mmol/mol (95% CI 0.06 to 1.16) in July 2020. Conclusion: The lockdown decreased the frequency of monitoring among both CHD and T2D patients. Meanwhile, monthly average LDL had a steadily improving pattern in CHD patients during the follow-up while temporary worsening in HbA1c in patients with T2D was observed at the time of the lockdown. The lockdown may have introduced selection in patients who had their treatment outcomes monitored. Better self-management of risk factors among patients is also possible.

The adverse effect of the COVID-19 pandemic on health service usage among patients with type 2 diabetes in North Karelia, Finland.

AIMS: The COVID-19 pandemic has challenged health systems and their capacity to deliver essential health services while responding to COVID-19. This study examines the pandemic's impact on health service usage among patients with type 2 diabetes in the North Karelia region, in Finland. METHODS: This retrospective cohort study used electronic health records of 11,458 type 2 diabetes patients, comprising all primary and specialised care contacts in 2019 and 2020. We analysed diabetes and dental healthcare contacts to primary care nurses, doctors and dentists and all emergency visits in specialised care. We compared healthcare usage in three different periods in 2020 (pre-lockdown [1 January-15 March], lockdown [16 March-31 May], post-lockdown [1 June-31 December]) with the equivalent period in 2019. RESULTS: During the lockdown period, the number of diabetes-related contacts decreased significantly but quickly increased again to nearly the same level as in 2019. Overall, healthcare usage was lower in the pandemic year, with proportionally 9% fewer contacts per person (mean 2.08 vs 2.29) and a proportionally 9% lower proportion of patients making any contact (59.9% vs 65.8%). The proportion of remote consultations was similar in both years in the pre-lockdown period (56.3-59.5%) but then increased to 88.0% during the 2020 lockdown. Patterns were similar when analysed by age group and gender. Emergency visits went down significantly at the beginning of the lockdown period, but a "rebound effect" was observed, so after the lockdown, the number of emergency visits in 2020 exceeded the numbers of the previous year. CONCLUSION: Despite the COVID-19 pandemic, diabetes care was continuous, and even elderly patients aged ≥70 years accessed the health services. The delivery of many essential services was facilitated by processes that strongly relied on telemedicine already before the pandemic.

National electronic primary health care database in monitoring performance of primary care in Kyrgyzstan.

AIM: The aim of this study was to assess the feasibility of the national electronic primary health care (PHC) database in Kyrgyzstan in producing information on the disease burden of the patient population and on the processes and quality of care of noncommunicable diseases (NCDs) in PHC. BACKGROUND: Strengthening of the PHC is essential for low- and middle-income countries (LMICs) to tackle the increasing burden of NCDs. Capacity building and quality improvement require timely data on processes and quality of care. METHODS: A data extraction was carried out covering four PHC clinics in Bishkek in 2019 to pilot the use of the national data for quality assessment purposes. The data included patient-level information on all appointments in the clinics during the year 2018 and consisted of data of altogether 48 564 patients. Evaluation indicators of the WHO Package of Essential NCD Interventions framework were used to assess the process and outcome indicators of patients with hypertension or diabetes. FINDINGS: The extracted data enabled the identification of different patient populations and analyses of various process and outcome indicators. The legibility of data was good and the structured database enabled easy data extraction and variable formation on patient level. As an example of process and outcome indicators of those with hypertension, the blood pressure was measured at least on two occasions of 90% of women and 89% of men, and blood pressure control was achieved among 61% of women and 53% of men with hypertension. This study showed that a rather basic system gathering nationally patient-level data to an electronic database can serve as an excellent information source for national authorities. Investments should be made to develop electronic health records and national databases also in LMICs.

LDL-cholesterol trajectories and statin treatment in Finnish type 2 diabetes patients: a growth mixture model.

We aimed to identify distinct longitudinal trends of LDL-cholesterol (LDL-C) levels and investigate these trajectories' association with statin treatment. This retrospective cohort study used electronic health records from 8592 type 2 diabetes patients in North Karelia, Finland, comprising all primary and specialised care visits 2011‒2017. We compared LDL-C trajectory groups assessing LDL-C treatment target achievement and changes in statin treatment intensity. Using a growth mixture model, we identified four LDL-C trajectory groups. The majority (85.9%) had "moderate-stable" LDL-C levels around 2.3 mmol/L. The second-largest group (7.7%) consisted of predominantly untreated patients with alarmingly "high-stable" LDL-C levels around 3.9 mmol/L. The "decreasing" group (3.8%) was characterised by large improvements in initially very high LDL-C levels, along with the highest statin treatment intensification rates, while among patients with "increasing" LDL-C (2.5%), statin treatment declined drastically. In all the trajectory groups, women had significantly higher average LDL-C levels and received less frequent any statin treatment and high-intensity treatment than men. Overall, 41.9% of patients had no statin prescribed at the end of follow-up. Efforts to control LDL-C should be increased-especially in patients with continuously elevated levels-by initiating and intensifying statin treatment earlier and re-initiating the treatment after discontinuation if possible.

Evaluation and pilot implementation of essential interventions for the management of hypertension and prevention of cardiovascular diseases in primary health care in the Republic of Tajikistan.

BACKGROUND: The aim of this study was to determine the feasibility of implementing and evaluating essential interventions for the management of hypertension and prevention of cardiovascular disease in primary healthcare in Tajikistan. METHODS: The study protocol was published a priori. A pragmatic, sequential, mixed methods explanatory design was piloted. The quantitative strand is reported here. All primary health care facilities that met inclusion criteria in Shahrinav district were included and computer randomized to either usual care or intervention. The intervention consisted of: adaptation of WHO PEN/HEARTS clinical algorithms for hypertension and diabetes, a two-day training of doctors and nurses, supportive supervision visits, clinical decision support tools, and quality improvement support. Data were collected from paper-based clinical records at baseline and 12 months follow-up. The primary outcome was blood pressure control among patients with hypertension, in addition to several secondary process indicators along the care pathway. Age and sex adjusted logistic regression models were used for intervention and control clinics to determine changes between baseline and follow-up and to assess interactions between allocation group and time. For continuous variables, multivariate linear regression models were used. RESULTS: 19 primary health care centres were included of which ten were randomized to intervention and nine to control. 120 clinicians received training. The records of all registered hypertensive patients were reviewed at baseline and follow-up for a total of 1,085 patient records. Blood pressure control significantly improved in the intervention clinics (OR 3.556, 95 % CI 2.219, 5.696) but not the control clinics (OR 0.644, 95 % CI 0.370, 1.121) (p < 0.001 for interaction). Smoking assessment, statin prescribing, triple therapy prescribing, and blood pressure measurement significantly improved in intervention clinics relative to control, whereas cholesterol and glucose testing, and aspirin prescribing did not. CONCLUSIONS: It is feasible to use routine, paper-based, clinical records to evaluate essential CVD interventions in primary health care in Tajikistan. Adapted WHO PEN/HEARTS guidelines in the context of a complex intervention significantly improved blood pressure control after 12 months.

Capacity building of health care professionals to perform interprofessional management of non-communicable diseases in primary care - experiences from Ukraine.

BACKGROUND: Non-communicable diseases are leading causes of death and disability across the world. Countries with the highest non-communicable disease (NCD) burden in the WHO European Region are often those that have some of the greatest health system challenges for achieving good outcomes in prevention and care. The aim of this study was to evaluate the effect of an interprofessional capacity building intervention carried out in Ukraine to improve the management non-communicable diseases in primary health care. METHODS: A mixed-methods evaluation study was performed in 2018 to analyse the effect of a capacity building intervention carried out for over 10,000 primary care professionals in Ukraine in 2018. Quantitative data were collected from primary health care records of intervention and control areas preceding the intervention and 1.5 to 2 years after the intervention. Altogether 2798 patient records before and 2795 after the intervention were reviewed. In control areas, 1202 patient records were reviewed. Qualitative data were collected carrying out focus group interviews for health professionals, clinic managers and patients. Also, observations of clinical practice and patient pathways were performed. RESULTS: The capacity building intervention improved the capacity of professionals in detection and management of non-communicable disease risk factors. Significant improvement was seen in detection rates of both behavioural and biological risk factors and in medication prescription rates in the intervention areas. However, almost similar improvement in prescription rates was also observed in control clinics. Improvements in control of blood pressure, blood glucose and cholesterol were not seen during the evaluated implementation period. Qualitative analyses highlighted the improved knowledge and skills but challenges in changing the current practice. CONCLUSIONS: A large scale capacity building intervention improved primary health care professionals' knowledge, skills and clinical practice on NCD risk detection and reduction. We were not able to detect improvements in treatment outcomes - at least within 1.5 to 2 years follow-up. Improvement of treatment outcomes would most likely need more comprehensive systems change.

Trends in the process and outcome indicators of type 2 diabetes care: a cohort study from Eastern Finland, 2012-2017.

BACKGROUND: Evidence-based guidelines include concrete treatment targets that can be used as process and outcome indicators in the evaluation of the quality of healthcare services and diabetes care. Quality improvement can be evaluated by monitoring longitudinal trends in the care indicators on the system level. The aim of this study is to describe trends in the processes and outcomes of care among people with type 2 diabetes in North Karelia, Finland. METHODS: The data consist of all adults with type 2 diabetes (identified from the EHRs using ICD-10 codes) who used primary or specialized care services in North Karelia during 2012-2017. The diabetes care was evaluated using the measurement activity, treatment levels, and the achievement of the treatment targets for HbA1c and LDL as care indicators. Logistic and linear models with generalized estimating equations were used to assess the differences between years, sexes, and age groups. RESULTS: The proportion of patients with annual measurement varied between 75.8 and 78.1% for HbA1c and between 67.4 and 69.1% for LDL during a five-year follow-up. The changes in average levels were moderate: a 0.2% (2 mmol/mol) increase for HbA1c and a 0.1 mmol/l decrease for LDL. Anyway, the proportion of patients meeting the treatment target for HbA1c decreased from 72.7 to 67.3% (age-adjusted decrease: 5.7%p, 95% CI: 4.5-6.9) and for LDL it increased from 53.4 to 59.5% (age-adjusted increase: 5.6%p, 95% CI: 4.2-7.0). Women were measured and met the HbA1c target level more often compared with men. Conversely, men met the LDL target level more often than women, and the age-adjusted difference between sexes increased smoothly from 7.9%p to 11.7%p. CONCLUSIONS: The achievements in relation to type 2 diabetes care in North Karelia are very good, but no major improvement was observed during follow-up. HbA1c levels had a rising tendency and LDL levels declining tendency indicating quality improvement in LDL management, but challenges in further improvement in glucose control.

Implementing a package of noncommunicable disease interventions in the Republic of Moldova: two-year follow-up data.

Noncommunicable diseases (NCDs) are a growing challenge in the Republic of Moldova. A previously reported pilot cluster randomized controlled trial aimed to determine the feasibility of implementing and evaluating essential interventions for NCDs (e.g. cardiovascular risk scoring, hypertension management, statin treatment, etc.) in primary health care in the Republic of Moldova, with a view toward national scale up. One-year follow-up data (previously published) demonstrated modest improvements in NCD risk factor identification and management could be achieved. Herein, we report the second-year follow-up data and conclude that sustainable improvements in NCD risk factor control (e.g. hypertension control) can be achieved in primary health care in low resource settings by adapting existing resources (e.g. WHO PEN) and conducting focused clinical training and support. If scaled to a national level, these improvements in risk factor control could significantly translate to reductions in premature mortality from NCDs.

Implementing Package of Essential Non-communicable Disease Interventions in the Republic of Moldova-a feasibility study.

BACKGROUND: The aim of this study is to determine the feasibility of implementing and evaluating the World Health Organization Package of Essential Non-communicable Disease Interventions (WHO PEN) approach in primary healthcare in the Republic of Moldova. METHODS: According to our published a priori methods, 20 primary care clinics were randomized to 10 intervention and 10 control clinics. The intervention consisted of implementation of adapted WHO PEN guidelines and structured training for health workers; the control clinics continued with usual care. Data were gathered from paper-based patient records in July 2017 and August 2018 resulting in a total of 1174 and 995 patients in intervention and control clinics at baseline and 1329 and 1256 at follow-up. Pre-defined indicators describing assessment of risk factors and total cardiovascular risk, prescribing medications and treatment outcomes were calculated. Differences between baseline and follow-up as well as between intervention and control clinics were calculated using logistic and linear regression models and by assessing interaction effects. RESULTS: Improvements were seen in recording smoking status, activity to measure HbA1c among diabetes patients and achieving control in hypertension treatment. Improvement was also seen in identification of patients with hypertension or diabetes. Less improvement or even deterioration was seen in assessing total risk or prescribing statins for high-risk patients. CONCLUSIONS: It is feasible to evaluate the quality and management of patients with non-communicable diseases in low-resource settings from routine data. Modest improvements in risk factor identification and management can be achieved in a relatively short period of time.