This study evaluates the impact of hypoglycemia on the lives of Ukrainian patients with type 2 diabetes mellitus. The secondary objective was to explore patient–physician relationships and the attitudes of patients towards various informational resources on diabetes management. Three focus groups with 26 patients were conducted. Qualitative information was evaluated using content analysis. The results show that patients with type 2 diabetes mellitus in Ukraine are adapting to potential attacks of hypoglycemia; however, they still experience periodic manifestations of hypoglycemia that significantly affect their psychological well-being. This result is similar to observations made in other countries. Ukrainian patients >40 years old mainly receive information on disease management from endocrinologists, and rarely use internet resources on diabetes management. Information provision was especially important at the early stage of the disease, when patients lack information on hypoglycemia manifestations and could therefore fail to identify and manage it properly.

Background: Diabetes is one of the leading causes of poor health and high care costs in Ukraine. To prevent diabetes complications and alleviate the financial burden of diabetes care on patients, the Ukrainian government reimburses diabetes medication and provides glucose monitoring, but there are significant gaps in the care continuum. We estimate the costs of providing diabetes care and the most cost-effective ways to address these gaps in the Poltava region of Ukraine. Methods: We gathered data on the unit costs of diabetes interventions in Poltava and estimated expenditure on diabetes care. We estimated the optimal combination of facility-based and outreach screening and investigated how additional funding could best be allocated to improve glucose control outcomes. Results: Of the~40,000 adults in diabetes care, only~25% achieved sustained glucose control. Monitoring costs were higher for those who did not: by 10% for patients receiving non-pharmacological treatment, by 61% for insulin patients, and twice as high for patients prescribed oral treatment. Initiatives to improve treatment adherence (e.g. medication copayment schemes, enhanced adherence counseling) would address barriers along the care continuum and we estimate such expenditures may be recouped by reductions in patient monitoring costs. Improvements in case detection are also needed, with only around two-thirds of estimated cases having been diagnosed. Outreach screening campaigns could play a significant role: depending on how well-targeted and scalable such campaigns are, we estimate that 10-46% of all screening could be conducted via outreach, at a cost per positive patient identified of US$7.12-9.63. Conclusions: Investments to improve case detection and treatment adherence are the most efficient interventions for improved diabetes control in Poltava. Quantitative tools provide essential decision support for targeting investment to close the gaps in care.

ObjectivesThis article reviews the applicability of a customised version of the Appropriateness Evaluation Protocol (AEP) to evaluate the magnitude of inappropriate hospitalisations in two regions of Ukraine.Data and methodsThe original AEP was modified to develop a customised tool, which included criteria for the appropriateness of hospitalisation and duration of inpatient stay. The customisation of the tool followed the Delphi procedure. We randomly selected 381 medical records to test the feasibility and reliability of the method and 800 medical records to evaluate the scope of inappropriate hospitalisations. We used descriptive and analytical statistics, receiver operating characteristic curve analysis and Cohen's kappa to check the consistency between the findings of primary reviewers and experts.ResultWe observed high levels of agreement in conclusions of primary reviewers (reference standard) and experts during testing of the reliability and validity of the method. The external validity check showed that the use of the tool by different experts provided high accuracy: 95.1 sensitivity, 76.6 specificity and area under ROC-curve (AUC)=0.948 (р<0.001) for analysis of the appropriateness of admissions; 95.3 sensitivity, 84.7 specificity and AUC=0.900 (р=0.001) for the duration of hospitalisations. Cohen's kappa coefficient (κ) indicated agreement in expert evaluations of 0.915 (95% СІ 0.799 to 1.000) and 0.812 (95% СІ 0.749 to 0.875), respectively.We found that over one-third of admissions (38.1%; 95% СІ 33.9 to 43.5) and over half of total bed-days were unnecessary (57.4%; 95% СІ 56.4 to 58.5). The highest levels of stay were observed in hospitals’ general medicine departments (64.6%; 95% СІ 63.0 to 66.3)compared with other departments included in the analysis.ConclusionThe proposed method is robust in assessing the appropriateness of hospitalisations and duration of inpatient stays. The quantified levels of unnecessary hospital care indicate the need for improving efficiency and quality of care and optimising the excessive hospital capacities in Ukraine.

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Background Diabetes is one of the leading causes of poor health and high care costs in Ukraine. An estimated 3 million adults live with the condition, placing diabetes in the top ten causes of years lived with disability. To prevent diabetes complications and alleviate the financial burden of diabetes care on patients, the Ukrainian government reimburses diabetes medication and provides glucose monitoring, but there are significant gaps in the care continuum. We estimate the costs of providing diabetes care and the most cost-effective ways to address these gaps in the Poltava region of Ukraine.Methods We gathered data on the unit costs of diabetes interventions in Poltava region in 2017 and estimated expenditure on diabetes care. We then applied the Cascade Analysis Tool, a model for analyzing and optimizing health service implementation, to estimate the optimal combination of facility-based and outreach screening and investigate how additional funding could best be allocated to improve glucose control outcomes.Results Of the ~40000 adults in diabetes care, only ~25% achieved sustained glucose control. Monitoring costs were higher for those who did not: by 10% for patients receiving non-pharmacological treatment, by 61% for insulin patients, and twice as high for patients prescribed oral treatment. Investments in initiatives to improve treatment adherence (e.g. medication copayment schemes, enhanced adherence counseling) would address barriers along the care continuum and we estimate such expenditures may be recouped by reductions in patient monitoring costs. Improvements in case detection are also needed, with only around two-thirds of estimated cases having been diagnosed. Outreach screening campaigns could play a significant role: depending on how well-targeted and scalable such campaigns are, we estimate that 10–46% of all screening could be conducted via outreach, at a cost per positive patient identified of US$7.12–9.63.Conclusions Investments to improve case detection and treatment adherence are the most efficient interventions for improved diabetes control in Poltava region. Quantitative tools such as the Cascade Analysis Tool provide essential decision support for targeting investment into services which close the gaps in implementation.